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• Research article
• Open access
• Published: 16 November 2020

Exercise/physical activity and health outcomes: an overview of Cochrane systematic reviews

• Pawel Posadzki 1 , 2 ,
• Dawid Pieper   ORCID: orcid.org/0000-0002-0715-5182 3 ,
• Ram Bajpai 4 ,
• Hubert Makaruk 5 ,
• Nadja Könsgen 3 ,
• Annika Lena Neuhaus 3 &
• Monika Semwal 6  

BMC Public Health volume  20 , Article number:  1724 ( 2020 ) Cite this article

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Sedentary lifestyle is a major risk factor for noncommunicable diseases such as cardiovascular diseases, cancer and diabetes. It has been estimated that approximately 3.2 million deaths each year are attributable to insufficient levels of physical activity. We evaluated the available evidence from Cochrane systematic reviews (CSRs) on the effectiveness of exercise/physical activity for various health outcomes.

Overview and meta-analysis. The Cochrane Library was searched from 01.01.2000 to issue 1, 2019. No language restrictions were imposed. Only CSRs of randomised controlled trials (RCTs) were included. Both healthy individuals, those at risk of a disease, and medically compromised patients of any age and gender were eligible. We evaluated any type of exercise or physical activity interventions; against any types of controls; and measuring any type of health-related outcome measures. The AMSTAR-2 tool for assessing the methodological quality of the included studies was utilised.

Hundred and fifty CSRs met the inclusion criteria. There were 54 different conditions. Majority of CSRs were of high methodological quality. Hundred and thirty CSRs employed meta-analytic techniques and 20 did not. Limitations for studies were the most common reasons for downgrading the quality of the evidence. Based on 10 CSRs and 187 RCTs with 27,671 participants, there was a 13% reduction in mortality rates risk ratio (RR) 0.87 [95% confidence intervals (CI) 0.78 to 0.96]; I 2  = 26.6%, [prediction interval (PI) 0.70, 1.07], median effect size (MES) = 0.93 [interquartile range (IQR) 0.81, 1.00]. Data from 15 CSRs and 408 RCTs with 32,984 participants showed a small improvement in quality of life (QOL) standardised mean difference (SMD) 0.18 [95% CI 0.08, 0.28]; I 2  = 74.3%; PI -0.18, 0.53], MES = 0.20 [IQR 0.07, 0.39]. Subgroup analyses by the type of condition showed that the magnitude of effect size was the largest among patients with mental health conditions.

There is a plethora of CSRs evaluating the effectiveness of physical activity/exercise. The evidence suggests that physical activity/exercise reduces mortality rates and improves QOL with minimal or no safety concerns.

Trial registration

Registered in PROSPERO ( CRD42019120295 ) on 10th January 2019.

Peer Review reports

The World Health Organization (WHO) defines physical activity “as any bodily movement produced by skeletal muscles that requires energy expenditure” [ 1 ]. Therefore, physical activity is not only limited to sports but also includes walking, running, swimming, gymnastics, dance, ball games, and martial arts, for example. In the last years, several organizations have published or updated their guidelines on physical activity. For example, the Physical Activity Guidelines for Americans, 2nd edition, provides information and guidance on the types and amounts of physical activity that provide substantial health benefits [ 2 ]. The evidence about the health benefits of regular physical activity is well established and so are the risks of sedentary behaviour [ 2 ]. Exercise is dose dependent, meaning that people who achieve cumulative levels several times higher than the current recommended minimum level have a significant reduction in the risk of breast cancer, colon cancer, diabetes, ischemic heart disease, and ischemic stroke events [ 3 ]. Benefits of physical activity have been reported for numerous outcomes such as mortality [ 4 , 5 ], cognitive and physical decline [ 5 , 6 , 7 ], glycaemic control [ 8 , 9 ], pain and disability [ 10 , 11 ], muscle and bone strength [ 12 ], depressive symptoms [ 13 ], and functional mobility and well-being [ 14 , 15 ]. Overall benefits of exercise apply to all bodily systems including immunological [ 16 ], musculoskeletal [ 17 ], respiratory [ 18 ], and hormonal [ 19 ]. Specifically for the cardiovascular system, exercise increases fatty acid oxidation, cardiac output, vascular smooth muscle relaxation, endothelial nitric oxide synthase expression and nitric oxide availability, improves plasma lipid profiles [ 15 ] while at the same time reducing resting heart rate and blood pressure, aortic valve calcification, and vascular resistance [ 20 ].

However, the degree of all the above-highlighted benefits vary considerably depending on individual fitness levels, types of populations, age groups and the intensity of different physical activities/exercises [ 21 ]. The majority of guidelines in different countries recommend a goal of 150 min/week of moderate-intensity aerobic physical activity (or equivalent of 75 min of vigorous-intensity) [ 22 ] with differences for cardiovascular disease [ 23 ] or obesity prevention [ 24 ] or age groups [ 25 ].

There is a plethora of systematic reviews published by the Cochrane Library critically evaluating the effectiveness of physical activity/exercise for various health outcomes. Cochrane systematic reviews (CSRs) are known to be a source of high-quality evidence. Thus, it is not only timely but relevant to evaluate the current knowledge, and determine the quality of the evidence-base, and the magnitude of the effect sizes given the negative lifestyle changes and rising physical inactivity-related burden of diseases. This overview will identify the breadth and scope to which CSRs have appraised the evidence for exercise on health outcomes; and this will help in directing future guidelines and identifying current gaps in the literature.

The objectives of this research were to a. answer the following research questions: in children, adolescents and adults (both healthy and medically compromised) what are the effects (and adverse effects) of exercise/physical activity in improving various health outcomes (e.g., pain, function, quality of life) reported in CSRs; b. estimate the magnitude of the effects by pooling the results quantitatively; c. evaluate the strength and quality of the existing evidence; and d. create recommendations for future researchers, patients, and clinicians.

Our overview was registered with PROSPERO (CRD42019120295) on 10th January 2019. The Cochrane Handbook for Systematic Reviews of interventions and Preferred Reporting Items for Overviews of Reviews were adhered to while writing and reporting this overview [ 26 , 27 ].

Search strategy and selection criteria

We followed the practical guidance for conducting overviews of reviews of health care interventions [ 28 ] and searched the Cochrane Database of Systematic Reviews (CDSR), 2019, Issue 1, on the Cochrane Library for relevant papers using the search strategy: (health) and (exercise or activity or physical). The decision to seek CSRs only was based on three main aspects. First, high quality (CSRs are considered to be the ‘gold methodological standard’) [ 29 , 30 , 31 ]. Second, data saturation (enough high-quality evidence to reach meaningful conclusions based on CSRs only). Third, including non-CSRs would have heavily increased the issue of overlapping reviews (also affecting data robustness and credibility of conclusions). One reviewer carried out the searches. The study screening and selection process were performed independently by two reviewers. We imported all identified references into reference manager software EndNote (X8). Any disagreements were resolved by discussion between the authors with third overview author acting as an arbiter, if necessary.

We included CSRs of randomised controlled trials (RCTs) involving both healthy individuals and medically compromised patients of any age and gender. Only CSRs assessing exercise or physical activity as a stand-alone intervention were included. This included interventions that could initially be taught by a professional or involve ongoing supervision (the WHO definition). Complex interventions e.g., assessing both exercise/physical activity and behavioural changes were excluded if the health effects of the interventions could not have been attributed to exercise distinctly.

Any types of controls were admissible. Reviews evaluating any type of health-related outcome measures were deemed eligible. However, we excluded protocols or/and CSRs that have been withdrawn from the Cochrane Library as well as reviews with no included studies.

Data analysis

Three authors (HM, ALN, NK) independently extracted relevant information from all the included studies using a custom-made data collection form. The methodological quality of SRs included was independently evaluated by same reviewers using the AMSTAR-2 tool [ 32 ]. Any disagreements on data extraction or CSR quality were resolved by discussion. The entire dataset was validated by three authors (PP, MS, DP) and any discrepant opinions were settled through discussions.

The results of CSRs are presented in a narrative fashion using descriptive tables. Where feasible, we presented outcome measures across CSRs. Data from the subset of homogeneous outcomes were pooled quantitatively using the approach previously described by Bellou et al. and Posadzki et al. [ 33 , 34 ]. For mortality and quality of life (QOL) outcomes, the number of participants and RCTs involved in the meta-analysis, summary effect sizes [with 95% confidence intervals (CI)] using random-effects model were calculated. For binary outcomes, we considered relative risks (RRs) as surrogate measures of the corresponding odds ratio (OR) or risk ratio/hazard ratio (HR). To stabilise the variance and normalise the distributions, we transformed RRs into their natural logarithms before pooling the data (a variation was allowed, however, it did not change interpretation of results) [ 35 ]. The standard error (SE) of the natural logarithm of RR was derived from the corresponding CIs, which was either provided in the study or calculated with standard formulas [ 36 ]. Binary outcomes reported as risk difference (RD) were also meta-analysed if two more estimates were available. For continuous outcomes, we only meta-analysed estimates that were available as standardised mean difference (SMD), and estimates reported with mean differences (MD) for QOL were presented separately in a supplementary Table  9 . To estimate the overall effect size, each study was weighted by the reciprocal of its variance. Random-effects meta-analysis, using DerSimonian and Laird method [ 37 ] was applied to individual CSR estimates to obtain a pooled summary estimate for RR or SMD. The 95% prediction interval (PI) was also calculated (where ≥3 studies were available), which further accounts for between-study heterogeneity and estimates the uncertainty around the effect that would be anticipated in a new study evaluating that same association. I -squared statistic was used to measure between study heterogeneity; and its various thresholds (small, substantial and considerable) were interpreted considering the size and direction of effects and the p -value from Cochran’s Q test ( p  < 0.1 considered as significance) [ 38 ]. Wherever possible, we calculated the median effect size (with interquartile range [IQR]) of each CSR to interpret the direction and magnitude of the effect size. Sub-group analyses are planned for type and intensity of the intervention; age group; gender; type and/or severity of the condition, risk of bias in RCTs, and the overall quality of the evidence (Grading of Recommendations Assessment, Development and Evaluation (GRADE) criteria). To assess overlap we calculated the corrected covered area (CCA) [ 39 ]. All statistical analyses were conducted on Stata statistical software version 15.2 (StataCorp LLC, College Station, Texas, USA).

The searches generated 280 potentially relevant CRSs. After removing of duplicates and screening, a total of 150 CSRs met our eligibility criteria [ 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 , 53 , 54 , 55 , 56 , 57 , 58 , 59 , 60 , 61 , 62 , 63 , 64 , 65 , 66 , 67 , 68 , 69 , 70 , 71 , 72 , 73 , 74 , 75 , 76 , 77 , 78 , 79 , 80 , 81 , 82 , 83 , 84 , 85 , 86 , 87 , 88 , 89 , 90 , 91 , 92 , 93 , 94 , 95 , 96 , 97 , 98 , 99 , 100 , 101 , 102 , 103 , 104 , 105 , 106 , 107 , 108 , 109 , 110 , 111 , 112 , 113 , 114 , 115 , 116 , 117 , 118 , 119 , 120 , 121 , 122 , 123 , 124 , 125 , 126 , 127 , 128 , 129 , 130 , 131 , 132 , 133 , 134 , 135 , 136 , 137 , 138 , 139 , 140 , 141 , 142 , 143 , 144 , 145 , 146 , 147 , 148 , 149 , 150 , 151 , 152 , 153 , 154 , 155 , 156 , 157 , 158 , 159 , 160 , 161 , 162 , 163 , 164 , 165 , 166 , 167 , 168 , 169 , 170 , 171 , 172 , 173 , 174 , 175 , 176 , 177 , 178 , 179 , 180 , 181 , 182 , 183 , 184 , 185 , 186 , 187 , 188 , 189 ] (Fig.  1 ). Reviews were published between September 2002 and December 2018. A total of 130 CSRs employed meta-analytic techniques and 20 did not. The total number of RCTs in the CSRs amounted to 2888; with 485,110 participants (mean = 3234, SD = 13,272). The age ranged from 3 to 87 and gender distribution was inestimable. The main characteristics of included reviews are summarised in supplementary Table  1 . Supplementary Table  2 summarises the effects of physical activity/exercise on health outcomes. Conclusions from CSRs are listed in supplementary Table  3 . Adverse effects are listed in supplementary Table  4 . Supplementary Table  5 presents summary of withdrawals/non-adherence. The methodological quality of CSRs is presented in supplementary Table  6 . Supplementary Table  7 summarises studies assessed at low risk of bias (by the authors of CSRs). GRADE-ings of the review’s main comparison are listed in supplementary Table  8 .

Study selection process

There were 54 separate populations/conditions, considerable range of interventions and comparators, co-interventions, and outcome measures. For detailed description of interventions, please refer to the supplementary tables . Most commonly measured outcomes were - function 112 (75%), QOL 83 (55%), AEs 70 (47%), pain 41 (27%), mortality 28 (19%), strength 30 (20%), costs 47 (31%), disability 14 (9%), and mental health in 35 (23%) CSRs.

There was a 13% reduction in mortality rates risk ratio (RR) 0.87 [95% CI 0.78 to 0.96]; I 2  = 26.6%, [PI 0.70, 1.07], median effect size (MES) = 0.93 [interquartile range (IQR) 0.81, 1.00]; 10 CSRs, 187 RCTs, 27,671 participants) following exercise when compared with various controls (Table 1 ). This reduction was smaller in ‘other groups’ of patients when compared to cardiovascular diseases (CVD) patients - RR 0.97 [95% CI 0.65, 1.45] versus 0.85 [0.76, 0.96] respectively. The effects of exercise were not intensity or frequency dependent. Sessions more than 3 times per week exerted a smaller reduction in mortality as compared with sessions of less than 3 times per week RR 0.87 [95% CI 0.78, 0.98] versus 0.63 [0.39, 1.00]. Subgroup analyses by risk of bias (ROB) in RCTs showed that RCTs at low ROB exerted smaller reductions in mortality when compared to RCTs at an unclear or high ROB, RR 0.90 [95% CI 0.78, 1.02] versus 0.72 [0.42, 1.22] versus 0.86 [0.69, 1.06] respectively. CSRs with moderate quality of evidence (GRADE), showed slightly smaller reductions in mortality when compared with CSRs that relied on very low to low quality evidence RR 0.88 [95% CI 0.79, 0.98] versus 0.70 [0.47, 1.04].

Exercise also showed an improvement in QOL, standardised mean difference (SMD) 0.18 [95% CI 0.08, 0.28]; I 2  = 74.3%; PI -0.18, 0.53], MES = 0.20 [IQR 0.07, 0.39]; 15 CSRs, 408 RCTs, 32,984 participants) when compared with various controls (Table 2 ). These improvements were greater observed for health related QOL when compared to overall QOL SMD 0.30 [95% CI 0.21, 0.39] vs 0.06 [− 0.08, 0.20] respectively. Again, the effects of exercise were duration and frequency dependent. For instance, sessions of more than 90 mins exerted a greater improvement in QOL as compared with sessions up to 90 min SMD 0.24 [95% CI 0.11, 0.37] versus 0.22 [− 0.30, 0.74]. Subgroup analyses by the type of condition showed that the magnitude of effect was the largest among patients with mental health conditions, followed by CVD and cancer. Physical activity exerted negative effects on QOL in patients with respiratory conditions (2 CSRs, 20 RCTs with 601 patients; SMD -0.97 [95% CI -1.43, 0.57]; I 2  = 87.8%; MES = -0.46 [IQR-0.97, 0.05]). Subgroup analyses by risk of bias (ROB) in RCTs showed that RCTs at low or unclear ROB exerted greater improvements in QOL when compared to RCTs at a high ROB SMD 0.21 [95% CI 0.10, 0.31] versus 0.17 [0.03, 0.31]. Analogically, CSRs with moderate to high quality of evidence showed slightly greater improvements in QOL when compared with CSRs that relied on very low to low quality evidence SMD 0.19 [95% CI 0.05, 0.33] versus 0.15 [− 0.02, 0.32]. Please also see supplementary Table  9 more studies reporting QOL outcomes as mean difference (not quantitatively synthesised herein).

Adverse events (AEs) were reported in 100 (66.6%) CSRs; and not reported in 50 (33.3%). The number of AEs ranged from 0 to 84 in the CSRs. The number was inestimable in 83 (55.3%) CSRs. Ten (6.6%) reported no occurrence of AEs. Mild AEs were reported in 28 (18.6%) CSRs, moderate in 9 (6%) and serious/severe in 20 (13.3%). There were 10 deaths and in majority of instances, the causality was not attributed to exercise. For this outcome, we were unable to pool the data as effect sizes were too heterogeneous (Table 3 ).

In 38 CSRs, the total number of trials reporting withdrawals/non-adherence was inestimable. There were different ways of reporting it such as adherence or attrition (high in 23.3% of CSRs) as well as various effect estimates including %, range, total numbers, MD, RD, RR, OR, mean and SD. The overall pooled estimates are reported in Table 3 .

Of all 16 domains of the AMSTAR-2 tool, 1876 (78.1%) scored ‘yes’, 76 (3.1%) ‘partial yes’; 375 (15.6%) ‘no’, and ‘not applicable’ in 25 (1%) CSRs. Ninety-six CSRs (64%) were scored as ‘no’ on reporting sources of funding for the studies followed by 88 (58.6%) failing to explain the selection of study designs for inclusion. One CSR (0.6%) each were judged as ‘no’ for reporting any potential sources of conflict of interest, including any funding for conducting the review as well for performing study selection in duplicate.

In 102 (68%) CSRs, there was predominantly a high risk of bias in RCTs. In 9 (6%) studies, this was reported as a range, e.g., low or unclear or low to high. Two CSRs used different terminology i.e., moderate methodological quality; and the risk of bias was inestimable in one CSR. Sixteen (10.6%) CSRs did not identify any studies (RCTs) at low risk of random sequence generation, 28 (18.6%) allocation concealment, 28 (18.6%) performance bias, 84 (54%) detection bias, 35 (23.3%) attrition bias, 18 (12%) reporting bias, and 29 (19.3%) other bias.

In 114 (76%) CSRs, limitation of studies was the main reason for downgrading the quality of the evidence followed by imprecision in 98 (65.3%) and inconsistency in 68 (45.3%). Publication bias was the least frequent reason for downgrading in 26 (17.3%) CSRs. Ninety-one (60.7%) CSRs reached equivocal conclusions, 49 (32.7%) reviews reached positive conclusions and 10 (6.7%) reached negative conclusions (as judged by the authors of CSRs).

In this systematic review of CSRs, we found a large body of evidence on the beneficial effects of physical activity/exercise on health outcomes in a wide range of heterogeneous populations. Our data shows a 13% reduction in mortality rates among 27,671 participants, and a small improvement in QOL and health-related QOL following various modes of physical activity/exercises. This means that both healthy individuals and medically compromised patients can significantly improve function, physical and mental health; or reduce pain and disability by exercising more [ 190 ]. In line with previous findings [ 191 , 192 , 193 , 194 ], where a dose-specific reduction in mortality has been found, our data shows a greater reduction in mortality in studies with longer follow-up (> 12 months) as compared to those with shorter follow-up (< 12 months). Interestingly, we found a consistent pattern in the findings, the higher the quality of evidence and the lower the risk of bias in primary studies, the smaller reductions in mortality. This pattern is observational in nature and cannot be over-generalised; however this might mean less certainty in the estimates measured. Furthermore, we found that the magnitude of the effect size was the largest among patients with mental health conditions. A possible mechanism of action may involve elevated levels of brain-derived neurotrophic factor or beta-endorphins [ 195 ].

We found the issue of poor reporting or underreporting of adherence/withdrawals in over a quarter of CSRs (25.3%). This is crucial both for improving the accuracy of the estimates at the RCT level as well as maintaining high levels of physical activity and associated health benefits at the population level.

Even the most promising interventions are not entirely risk-free; and some minor AEs such as post-exercise pain and soreness or discomfort related to physical activity/exercise have been reported. These were typically transient; resolved within a few days; and comparable between exercise and various control groups. However worryingly, the issue of poor reporting or underreporting of AEs has been observed in one third of the CSRs. Transparent reporting of AEs is crucial for identifying patients at risk and mitigating any potential negative or unintended consequences of the interventions.

High risk of bias of the RCTs evaluated was evident in more than two thirds of the CSRs. For example, more than half of reviews identified high risk of detection bias as a major source of bias suggesting that lack of blinding is still an issue in trials of behavioural interventions. Other shortcomings included insufficiently described randomisation and allocation concealment methods and often poor outcome reporting. This highlights the methodological challenges in RCTs of exercise and the need to counterbalance those with the underlying aim of strengthening internal and external validity of these trials.

Overall, high risk of bias in the primary trials was the main reason for downgrading the quality of the evidence using the GRADE criteria. Imprecision was frequently an issue, meaning the effective sample size was often small; studies were underpowered to detect the between-group differences. Pooling too heterogeneous results often resulted in inconsistent findings and inability to draw any meaningful conclusions. Indirectness and publication bias were lesser common reasons for downgrading. However, with regards to the latter, the generally accepted minimum number of 10 studies needed for quantitatively estimate the funnel plot asymmetry was not present in 69 (46%) CSRs.

Strengths of this research are the inclusion of large number of ‘gold standard’ systematic reviews, robust screening, data extractions and critical methodological appraisal. Nevertheless, some weaknesses need to be highlighted when interpreting findings of this overview. For instance, some of these CSRs analysed the same primary studies (RCTs) but, arrived at slightly different conclusions. Using, the Pieper et al. [ 39 ] formula, the amount of overlap ranged from 0.01% for AEs to 0.2% for adherence, which indicates slight overlap. All CSRs are vulnerable to publication bias [ 196 ] - hence the conclusions generated by them may be false-positive. Also, exercise was sometimes part of a complex intervention; and the effects of physical activity could not be distinguished from co-interventions. Often there were confounding effects of diet, educational, behavioural or lifestyle interventions; selection, and measurement bias were inevitably inherited in this overview too. Also, including CSRs only might lead to selection bias; and excluding reviews published before 2000 might limit the overall completeness and applicability of the evidence. A future update should consider these limitations, and in particular also including non-CSRs.

Conclusions

Trialists must improve the quality of primary studies. At the same time, strict compliance with the reporting standards should be enforced. Authors of CSRs should better explain eligibility criteria and report sources of funding for the primary studies. There are still insufficient physical activity trends worldwide amongst all age groups; and scalable interventions aimed at increasing physical activity levels should be prioritized [ 197 ]. Hence, policymakers and practitioners need to design and implement comprehensive and coordinated strategies aimed at targeting physical activity programs/interventions, health promotion and disease prevention campaigns at local, regional, national, and international levels [ 198 ].

Availability of data and materials

Data sharing is not applicable to this article as no raw data were analysed during the current study. All information in this article is based on published systematic reviews.

Abbreviations

Adverse events

Cardiovascular diseases

Cochrane Database of Systematic Reviews

Cochrane systematic reviews

Confidence interval

Grading of Recommendations Assessment, Development and Evaluation

Hazard ratio

Interquartile range

Mean difference

Prediction interval

Quality of life

Randomised controlled trials

Relative risk

Risk difference

Risk of bias

Standard error

Standardised mean difference

World Health Organization

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Pawel Posadzki

Nanyang Technological University, Singapore, Singapore

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Dawid Pieper, Nadja Könsgen & Annika Lena Neuhaus

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PP wrote the protocol, ran the searches, validated, analysed and synthesised data, wrote and revised the drafts. HM, NK and ALN screened and extracted data. MS and DP validated and analysed the data. RB ran statistical analyses. All authors contributed to writing and reviewing the manuscript. PP is the guarantor. The authors read and approved the final manuscript.

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Supplementary Information

Additional file 1:.

Supplementary Table 1. Main characteristics of included Cochrane systematic reviews evaluating the effects of physical activity/exercise on health outcomes ( n  = 150). Supplementary Table 2. Additional information from Cochrane systematic reviews of the effects of physical activity/exercise on health outcomes ( n  = 150). Supplementary Table 3. Conclusions from Cochrane systematic reviews “quote”. Supplementary Table 4 . AEs reported in Cochrane systematic reviews. Supplementary Table 5. Summary of withdrawals/non-adherence. Supplementary Table 6. Methodological quality assessment of the included Cochrane reviews with AMSTAR-2. Supplementary Table 7. Number of studies assessed as low risk of bias per domain. Supplementary Table 8. GRADE for the review’s main comparison. Supplementary Table 9. Studies reporting quality of life outcomes as mean difference.

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Posadzki, P., Pieper, D., Bajpai, R. et al. Exercise/physical activity and health outcomes: an overview of Cochrane systematic reviews. BMC Public Health 20 , 1724 (2020). https://doi.org/10.1186/s12889-020-09855-3

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We’ve all seen the words “complementary,” “alternative,” and “integrative,” but what do they really mean?

This fact sheet looks into these terms to help you understand them better and gives you a brief picture of the mission and role of the National Center for Complementary and Integrative Health (NCCIH) in this area of research. The terms “complementary,” “alternative,” and “integrative” are continually evolving, along with the field, but the descriptions of these terms below are how we at the National Institutes of Health currently define them.

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According to a 2012 national survey, many Americans—more than 30 percent of adults and about 12 percent of children—use health care approaches that are not typically part of conventional medical care or that may have origins outside of usual Western practice. When describing these approaches, people often use “alternative” and “complementary” interchangeably, but the two terms refer to different concepts:

• If a non-mainstream approach is used  together with  conventional medicine, it’s considered “complementary.”
• If a non-mainstream approach is used  in place of  conventional medicine, it’s considered “alternative.”

Most people who use non-mainstream approaches also use conventional health care.

In addition to the terms complementary and alternative, you may also hear the term “functional medicine.” This term sometimes refers to a concept similar to integrative health (described below), but it may also refer to an approach that more closely resembles  naturopathy  (a medical system that has evolved from a combination of traditional practices and health care approaches popular in Europe during the 19th century).

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Integrative health brings conventional and complementary approaches together in a coordinated way. Integrative health also emphasizes multimodal interventions, which are two or more interventions such as conventional health care approaches (like medication, physical rehabilitation, psychotherapy), and complementary health approaches (like acupuncture, yoga, and probiotics) in various combinations, with an emphasis on treating the whole person rather than, for example, one organ system. Integrative health aims for well-coordinated care among different providers and institutions by bringing conventional and complementary approaches together to care for the whole person.

The use of integrative approaches to health and wellness has grown within care settings across the United States. Researchers are currently exploring the potential benefits of integrative health in a variety of situations, including pain management for military personnel and veterans, relief of symptoms in cancer patients and survivors, and programs to promote healthy behaviors.

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Whole person health refers to helping individuals, families, communities, and populations improve and restore their health in multiple interconnected domains—biological, behavioral, social, environmental—rather than just treating disease. Research on whole person health includes expanding the understanding of the connections between these various aspects of health, including connections between organs and body systems.

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• An NCCIH-funded study is developing an innovative, collaborative treatment model involving chiropractors, primary care providers, and mental health providers for veterans with spine pain and related mental health conditions.
• Other NCCIH-funded studies are testing the effects of adding mindfulness meditation, self-hypnosis, or other complementary approaches to pain management programs for veterans. The goal is to help patients feel and function better and reduce their need for pain medicines that can have serious side effects.
• For more information on pain management for military personnel and veterans, see NCCIH’s  Complementary Health Practices for U.S. Military, Veterans, and Families  webpage.

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• Massage therapy may lead to short-term improvements in pain and mood in patients with advanced cancer.
• Yoga may relieve the persistent fatigue that some women experience after breast cancer treatment, according to the results of a preliminary study.
• Tai chi or qigong have shown promise for managing symptoms such as fatigue, sleep difficulty, and depression in cancer survivors.
• For more information, see  NCCIH’s fact sheet on cancer .

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• Preliminary research suggests that yoga and meditation-based therapies may help smokers quit.
• In a study funded by the National Cancer Institute, complementary health practitioners (chiropractors, acupuncturists, and massage therapists) were successfully trained to provide evidence-based smoking cessation interventions to their patients.
• An NCCIH-funded study is testing whether a mindfulness-based program that involves the whole family can improve weight loss and eating behavior in adolescents who are overweight.
• For more information, see the NCCIH  Quitting Smoking  and  Weight Control  webpages.

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Complementary approaches can be classified by their primary therapeutic input (how the therapy is taken in or delivered), which may be:

• Nutritional (e.g., special diets, dietary supplements, herbs, and probiotics)
• Psychological (e.g., mindfulness)
• Physical (e.g., massage, spinal manipulation)
• Combinations such as psychological and physical (e.g., yoga, tai chi, acupuncture, dance or art therapies) or psychological and nutritional (e.g., mindful eating)

Nutritional approaches include what NCCIH previously categorized as natural products, whereas psychological and/or physical approaches include what was referred to as mind and body practices.

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These approaches include a variety of products, such as  herbs   (also known as botanicals),  vitamins and minerals , and  probiotics . They are widely marketed, readily available to consumers, and often sold as  dietary supplements .

According to the 2012 National Health Interview Survey (NHIS), which included a comprehensive survey on the use of complementary health approaches by Americans, 17.7 percent of American adults had used a dietary supplement other than vitamins and minerals in the past year. These products were the most popular complementary health approach in the survey. (See chart.) The most commonly used nonvitamin, nonmineral dietary supplement was fish oil.

Researchers have done large, rigorous studies on a few dietary supplements, but the results often showed that the products didn’t work for the conditions studied. Research on others is in progress. While there are indications that some may be helpful, more needs to be learned about the effects of these products in the human body, and about their  safety  and potential  interactions with medicines  and other natural products.

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Complementary physical and/or psychological approaches include tai chi , yoga , acupuncture , massage therapy , spinal manipulation , art therapy, music therapy, dance, mindfulness-based stress reduction, and many others. These approaches are often administered or taught by a trained practitioner or teacher. The 2012 NHIS showed that yoga, chiropractic and osteopathic manipulation , and meditation are among the most popular complementary health approaches used by adults. According to the 2017 NHIS , the popularity of yoga has grown dramatically in recent years, from 9.5 percent of U.S. adults practicing yoga in 2012 to 14.3 percent in 2017. The 2017 NHIS also showed that the use of meditation increased more than threefold from 4.1 percent in 2012 to 14.2 percent in 2017.

Other psychological and physical approaches include relaxation techniques   (such as breathing exercises and guided imagery),  qigong ,  hypnotherapy , Feldenkrais method, Alexander technique, Pilates, Rolfing Structural Integration, and Trager psychophysical integration.

Research findings suggest that several psychological and physical approaches, alone or in combination, are helpful for a variety of conditions. A few examples include the following:

• Acupuncture  may help ease types of pain that are often chronic, such as low-back pain, neck pain, and osteoarthritis/knee pain. Acupuncture may also help reduce the frequency of tension headaches and prevent migraine headaches.
• Meditation  may help reduce blood pressure, symptoms of anxiety and depression, and symptoms of irritable bowel syndrome and flare-ups in people with ulcerative colitis. Meditation may also benefit people with insomnia.
• Tai chi  appears to help improve balance and stability, reduce back pain and pain from knee osteoarthritis, and improve quality of life in people with heart disease, cancer, and other chronic illnesses.
• Yoga  may benefit people’s general wellness by relieving stress, supporting good health habits, and improving mental/emotional health, sleep, and balance. Yoga may also help with low-back pain and neck pain, anxiety or depressive symptoms associated with difficult life situations, quitting smoking, and quality of life for people with chronic diseases.

The amount of research on psychological and physical approaches varies widely depending on the practice. For example, researchers have done many studies on acupuncture, yoga, spinal manipulation, and meditation, but there have been fewer studies on some other approaches.

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Some complementary approaches may not neatly fit into either of these groups—for example, the practices of traditional healers, Ayurvedic medicine , traditional Chinese medicine , homeopathy , naturopathy , and functional medicine.

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NCCIH is the Federal Government’s lead agency for scientific research on complementary and integrative health approaches.

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The mission of NCCIH is to determine, through rigorous scientific investigation, the fundamental science, usefulness, and safety of complementary and integrative health approaches and their roles in improving health and health care.

NCCIH’s vision is that scientific evidence informs decision making by the public, by health care professionals, and by health policymakers regarding the integrated use of complementary health approaches in a whole person health framework.

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Research articles

Associations between stock market fluctuations and stress-related emergency room visits in China

The authors investigate the association between stock market fluctuations as measured by daily market returns and emergency room visits for mental health disorders and physical illnesses, finding the greatest effects among older people and men.

• Sumit Agarwal

Early detection of dementia with default-mode network effective connectivity

Altered patterns of effective connectivity in the brain’s default-mode network predicted both future dementia incidence and time to diagnosis.

• Sheena Waters
• Charles R. Marshall

Assessing rates and predictors of cannabis-associated psychotic symptoms across observational, experimental and medical research

The authors synthesize data from previous literature on observational, experimental and medicinal cannabis research to assess rates and predictors of cannabis-associated psychotic symptoms.

• Tabea Schoeler
• Jessie R. Baldwin
• Jean-Baptiste Pingault

Anxiety, depression and distress outcomes from the Health4Life intervention for adolescent mental health: a cluster-randomized controlled trial

The authors present the secondary outcomes from a cluster-randomized controlled trial of the Health4Life multiple health behavior change intervention. The intervention showed short-term benefits for distress and depressive symptoms but was not more effective than an active control condition.

• K. E. Champion
• N. C. Newton

Exposomic and polygenic contributions to allostatic load in early adolescence

Using a large US cohort of adolescents, the authors examine exposomic and polygenic contributions to allostatic load and a mediating role of allostatic load on the path from exposomic and polygenic risks to psychopathology.

• Kevin W. Hoffman
• Kate T. Tran
• Ran Barzilay

Emotion dysregulation and right pars orbitalis constitute a neuropsychological pathway to attention deficit hyperactivity disorder

Authors present data supporting a neuropsychological pathway between emotion dysregulation and ADHD symptoms involving morphometry of the right pars orbitalis, transcriptomic, and white blood cell markers.

• Barbara J. Sahakian

Predicting suicidality with small sets of interpretable reward behavior and survey variables

Applying machine learning to an objective framework for suicidality, the authors demonstrate that four suicidal thought and behavior variables can be predicted with high accuracy and may present a scalable system for suicide risk assessment.

• Shamal Lalvani
• Hans C. Breiter

Investigating inflation, living costs and mental health service utilization in post-COVID-19 England

In this study, the authors investigate the association between price inflation and mental health service uptake in the United Kingdom, demonstrating that increasing costs of living exacerbate mental health needs, particularly among adults and older populations.

• Shanquan Chen
• Miaoqing Yang
• Hannah Kuper

Changes in alcohol consumption and alcohol problems before and after the COVID-19 pandemic: a prospective study in heavy drinking young adults

In this prospective longitudinal study of alcohol consumption and patterns in heavy drinking young adults, significant reductions in alcohol use quantity, frequency and problems were observed from pre- to post-pandemic onset.

• Kasey G. Creswell
• Garrett C. Hisler
• Aidan G. C. Wright

Educational attainment and psychiatric diagnoses: a national registry data and two-sample Mendelian randomization study

Analyzing national registry data, the authors use within-sibling design and two-sample Mendelian randomization to identify bidirectional causal relationships between educational attainment (EA) and mental health conditions, demonstrating that lower levels of EA were differentially associated with some disorders, such as major depressive disorder, but that attention-deficit/hyperactivity disorder causally affected EA.

• Perline A. Demange
• Dorret I. Boomsma
• Michel G. Nivard

Blunted stress reactivity as a mechanism linking early psychosocial deprivation to psychopathology during adolescence

Wade and colleagues analyze data from the Bucharest Early Intervention Project to examine whether stress reactivity measured at age 12 may serve as a mechanism linking early institutional deprivation with psychopathology at age 16.

• Margaret A. Sheridan
• Katie A. McLaughlin

Awe fosters positive attitudes toward solitude

Authors investigate the effect of awe on attitudes towards solitude using multiple experimental studies, big data analytics and experience sampling.

• Wenying Yuan
• Tonglin Jiang

Recovery of anterior prefrontal cortex inhibitory control after 15 weeks of inpatient treatment in heroin use disorder

The authors examined the effect of psychosocial therapy, in addition to medication for heroin dependence, on inhibitory control brain activity and behavioral performance in individuals with heroin use disorder.

• Ahmet O. Ceceli
• Yuefeng Huang
• Rita Z. Goldstein

Probing prefrontal-sgACC connectivity using TMS-induced heart–brain coupling

In this pilot study, the authors detected specific brain regions that can be precisely targeted with transcranial magnetic stimulation to influence heart rate. The heart–brain coupling might serve as a readout to identify optimal individualized transcranial magnetic stimulation targets for depression.

• Eva S. A. Dijkstra
• Summer B. Frandsen
• Shan H. Siddiqi

Defining the r factor for post-trauma resilience and its neural predictors

The authors report data from the emergency department AURORA study to characterize resilience in more detail than the absence of psychopathology after trauma.

• Sanne J. H. van Rooij
• Justin L. Santos
• Jennifer S. Stevens

Disentangling sex differences in PTSD risk factors

This study identifies a set of risk factors that fully mediate and uniquely contribute to the relationship between sex assigned at birth and posttraumatic stress disorder severity.

• Stephanie Haering
• Antonia V. Seligowski

A systematic review of pharmacogenetic testing to guide antipsychotic treatment

The authors conducted a systematic review to examine whether pharmacogenetic testing affects clinical or economic outcomes in patients taking antipsychotic medication.

• Noushin Saadullah Khani
• Georgie Hudson
• Elvira Bramon

Brain mechanisms underlying the emotion processing bias in treatment-resistant depression

Using stereotactic electroencephalography, the authors identified differential amygdala activation in response to emotional faces in participants with treatment-resistant depression compared with non-depressed participants with epilepsy, suggesting possible deep brain stimulation targets.

• Madaline Mocchi
• Kelly R. Bijanki

Prolonged HPA axis dysregulation in postpartum depression associated with adverse early life experiences: a cross-species translational study

In this cross-species translational study, the authors look at the longitudinal consequences of stress during adolescent development on HPA function and postpartum behaviors in mice and in humans and suggest that glucocorticoid receptor antagonists may serve as a potential treatment for postpartum depression.

• Sedona Lockhart

D2/D3 dopamine supports the precision of mental state inferences and self-relevance of joint social outcomes

In this article, the authors demonstrate that haloperidol D2/D3 dopamine antagonism contributes to flexibility in beliefs about the intentions of social partners during a sharing game.

• J. M. Barnby
• M. Moutoussis

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Common sugar substitute linked to increased risk of heart attack and stroke

The safety of sugar substitutes is once again being called into question.

Researchers led by the Cleveland Clinic linked the low-calorie sugar substitute xylitol to an increased risk of heart attack, stroke or cardiovascular-related deaths, according to a study published today in the European Heart Journal.

Xylitol is a sugar alcohol that is found in small amounts in fruit and vegetables, and the human body also produces it. As an additive, it looks and tastes like sugar but has 40% fewer calories. It is used, at much higher concentrations than found in nature, in sugar-free gum, candies, toothpaste and baked goods. It can also be found in products labeled "keto-friendly," particularly in Europe.

The same research team found a similar association last year to the popular sugar substitute erythritol. The use of sugar substitutes has increased significantly over the past decade as concerns about rising obesity rates mount.

“We’re throwing this stuff into our food pyramid, and the very people who are most likely to be consuming it are the ones who are most likely to be at risk” of heart attack and stroke, such as people with diabetes, said lead author Dr. Stanely Hazen, chair of cardiovascular and metabolic sciences at Cleveland Clinic’s Lerner Research Institute.

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Many heart attacks and strokes occur in people who do not have known risk factors, like diabetes, high blood pressure or elevated cholesterol levels. The research team began studying sugar alcohols found naturally in the human body to see if the compounds might predict cardiovascular risk in these people.

In the study, the investigators measured the level of naturally occurring xylitol in the blood of more than 3,000 participants after overnight fasting. They found that people whose xylitol levels put them in the top 25% of the study group had approximately double the risk for heart attack, stroke or death over the next three years compared to people in the bottom quarter.

The researchers also wanted to understand the mechanism at work, so they fed xylitol to mice, added it to blood and plasma in a lab and gave a xylitol-containing drink to 10 healthy volunteers. In all these cases, xylitol seemed to activate platelets, which are the blood component that controls clotting, said Hazen. Blood clots are the leading cause of heart attack and stroke.

 “All it takes is xylitol to interact with platelets alone for a very brief period of time, a matter of minutes, and the platelet becomes supercharged and much more prone to clot,” Hazen said.

The next question is what causes naturally-occurring xylitol to be elevated in some people and how do you lower it, said Dr. Sadiya Khan, a cardiologist at Northwestern Medicine Bluhm Cardiovascular Institute and a professor of cardiovascular epidemiology at Northwestern Feinberg School of Medicine who was not involved in the new study.

Much more research needs to be done, said Hazen. In the meantime, he is telling patients to avoid eating xylitol and other sugar alcohols, whose spelling all end in ‘itol.’ Instead, he recommends using modest amounts of sugar, honey or fruit to sweeten food, adding that toothpaste and one stick of gum are probably not a problem because so little xylitol is ingested.

The report had key limitations. 

First, the study of naturally occurring xylitol in people’s blood was observational and can show only an association between the sugar alcohol and heart risk. It does not show that xylitol caused the higher incidence of heart attack, stroke or death.

Nevertheless, given the totality of the evidence presented in the paper, “it’s probably reasonable to limit intake of artificial sweeteners,” said Khan. “Perhaps the answer isn’t replacing sugar with artificial sweeteners but thinking about more high quality dietary components, like vegetables and fruits, as natural sugars.”

Artificial sweeteners shouldn’t be difficult to avoid, said Joanne Slavin, PhD, RDN, a professor of food science and nutrition at the University of Minnesota-Twin Cities. They are listed on the ingredient list of packaged goods.

“Would I say never eat xylitol?” asked Slavin, who had no connection to the study. For some people who struggle to reduce sugar in their diet, sugar substitutes are one tool, and it comes down to personal choice, she said. 

While Slavin found the study interesting and cause for some concern, she noted that sugar alcohols are expensive and are generally used in very small amounts in gum and sugar-free candies.

Another limitation of the study is that the participants whose xylitol levels in the blood were measured were at high risk for or had documented heart disease, and so the results may not apply to healthy individuals.

Still, many people in the general public share the characteristics of the study participants, said Hazen. 

“In middle-aged or older America, it’s common to have obesity and diabetes or high cholesterol or high blood pressure,” he said.

Barbara Mantel is an NBC News contributor. She is also the topic leader for freelancing at the Association of Health Care Journalists, writing blog posts, tip sheets and market guides, as well as producing and hosting webinars. Barbara’s work has appeared in CQ Researcher, AARP, Undark, Next Avenue, Medical Economics, Healthline, Today.com, NPR and The New York Times.

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Research Finds Significant Racial Disparities in Medicaid Re-enrollment

Among those who could not complete the process of renewing their Medicaid coverage, Black and Hispanic Americans were twice as likely as white people to lose their health insurance, a new study found.

By Noah Weiland

Reporting from Washington

Black and Hispanic Americans were twice as likely as white Americans to lose Medicaid last year because of an inability to complete renewal forms during a vast trimming of the program’s rolls, according to a study published on Monday in the journal JAMA Internal Medicine.

The findings from researchers at the Oregon Health & Science University, Harvard Medical School and Northwestern University are some of the first comprehensive data on race gathered after a pandemic-era policy that allowed Medicaid recipients to keep their coverage without regular eligibility checks ended last year.

More than 22 million low-income people have lost health care coverage at some point since April 2023, when the policy allowing continuous enrollment lapsed. The process of ending that policy — what federal and state officials have called “unwinding” — was one of the most drastic ruptures in the health safety net in a generation.

“Medicaid eligibility is complex, and then applying and keeping Medicaid coverage is a huge logistical barrier,” said Dr. Jane M. Zhu, an associate professor of medicine at the Oregon Health & Science University and one of the study’s authors. “What this analysis is showing is that these barriers have downstream spillover effects on particular communities.”

Researchers have found that increases in health insurance coverage across racial and ethnic groups from 2019 to 2022 were largely driven by Medicaid .

A provision in a coronavirus relief package passed by Congress in 2020 required states to keep recipients of the joint federal-state health insurance program for the poor continuously enrolled in exchange for additional federal funding.

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Mental Health Prevention and Promotion—A Narrative Review

Associated data.

Extant literature has established the effectiveness of various mental health promotion and prevention strategies, including novel interventions. However, comprehensive literature encompassing all these aspects and challenges and opportunities in implementing such interventions in different settings is still lacking. Therefore, in the current review, we aimed to synthesize existing literature on various mental health promotion and prevention interventions and their effectiveness. Additionally, we intend to highlight various novel approaches to mental health care and their implications across different resource settings and provide future directions. The review highlights the (1) concept of preventive psychiatry, including various mental health promotions and prevention approaches, (2) current level of evidence of various mental health preventive interventions, including the novel interventions, and (3) challenges and opportunities in implementing concepts of preventive psychiatry and related interventions across the settings. Although preventive psychiatry is a well-known concept, it is a poorly utilized public health strategy to address the population's mental health needs. It has wide-ranging implications for the wellbeing of society and individuals, including those suffering from chronic medical problems. The researchers and policymakers are increasingly realizing the potential of preventive psychiatry; however, its implementation is poor in low-resource settings. Utilizing novel interventions, such as mobile-and-internet-based interventions and blended and stepped-care models of care can address the vast mental health need of the population. Additionally, it provides mental health services in a less-stigmatizing and easily accessible, and flexible manner. Furthermore, employing decision support systems/algorithms for patient management and personalized care and utilizing the digital platform for the non-specialists' training in mental health care are valuable additions to the existing mental health support system. However, more research concerning this is required worldwide, especially in the low-and-middle-income countries.

Introduction

Mental disorder has been recognized as a significant public health concern and one of the leading causes of disability worldwide, particularly with the loss of productive years of the sufferer's life ( 1 ). The Global Burden of Disease report (2019) highlights an increase, from around 80 million to over 125 million, in the worldwide number of Disability-Adjusted Life Years (DALYs) attributable to mental disorders. With this surge, mental disorders have moved into the top 10 significant causes of DALYs worldwide over the last three decades ( 2 ). Furthermore, this data does not include substance use disorders (SUDs), which, if included, would increase the estimated burden manifolds. Moreover, if the caregiver-related burden is accounted for, this figure would be much higher. Individual, social, cultural, political, and economic issues are critical mental wellbeing determinants. An increasing burden of mental diseases can, in turn, contribute to deterioration in physical health and poorer social and economic growth of a country ( 3 ). Mental health expenditure is roughly 3–4% of their Gross Domestic Products (GDPs) in developed regions of the world; however, the figure is abysmally low in low-and-middle-income countries (LMICs) ( 4 ). Untreated mental health and behavioral problems in childhood and adolescents, in particular, have profound long-term social and economic adverse consequences, including increased contact with the criminal justice system, lower employment rate and lesser wages among those employed, and interpersonal difficulties ( 5 – 8 ).

Need for Mental Health (MH) Prevention

Longitudinal studies suggest that individuals with a lower level of positive wellbeing are more likely to acquire mental illness ( 9 ). Conversely, factors that promote positive wellbeing and resilience among individuals are critical in preventing mental illnesses and better outcomes among those with mental illness ( 10 , 11 ). For example, in patients with depressive disorders, higher premorbid resilience is associated with earlier responses ( 12 ). On the contrary, patients with bipolar affective- and recurrent depressive disorders who have a lower premorbid quality of life are at higher risk of relapses ( 13 ).

Recently there has been an increased emphasis on the need to promote wellbeing and positive mental health in preventing the development of mental disorders, for poor mental health has significant social and economic implications ( 14 – 16 ). Research also suggests that mental health promotion and preventative measures are cost-effective in preventing or reducing mental illness-related morbidity, both at the society and individual level ( 17 ).

Although the World Health Organization (WHO) defines health as “a state of complete physical, mental, and social wellbeing and not merely an absence of disease or infirmity,” there has been little effort at the global level or stagnation in implementing effective mental health services ( 18 ). Moreover, when it comes to the research on mental health (vis-a-viz physical health), promotive and preventive mental health aspects have received less attention vis-a-viz physical health. Instead, greater emphasis has been given to the illness aspect, such as research on psychopathology, mental disorders, and treatment ( 19 , 20 ). Often, physicians and psychiatrists are unfamiliar with various concepts, approaches, and interventions directed toward mental health promotion and prevention ( 11 , 21 ).

Prevention and promotion of mental health are essential, notably in reducing the growing magnitude of mental illnesses. However, while health promotion and disease prevention are universally regarded concepts in public health, their strategic application for mental health promotion and prevention are often elusive. Furthermore, given the evidence of substantial links between psychological and physical health, the non-incorporation of preventive mental health services is deplorable and has serious ramifications. Therefore, policymakers and health practitioners must be sensitized about linkages between mental- and physical health to effectively implement various mental health promotive and preventive interventions, including in individuals with chronic physical illnesses ( 18 ).

The magnitude of the mental health problems can be gauged by the fact that about 10–20% of young individuals worldwide experience depression ( 22 ). As described above, poor mental health during childhood is associated with adverse health (e.g., substance use and abuse), social (e.g., delinquency), academic (e.g., school failure), and economic (high risk of poverty) adverse outcomes in adulthood ( 23 ). Childhood and adolescence are critical periods for setting the ground for physical growth and mental wellbeing ( 22 ). Therefore, interventions promoting positive psychology empower youth with the life skills and opportunities to reach their full potential and cope with life's challenges. Comprehensive mental health interventions involving families, schools, and communities have resulted in positive physical and psychological health outcomes. However, the data is limited to high-income countries (HICs) ( 24 – 28 ).

In contrast, in low and middle-income countries (LMICs) that bear the greatest brunt of mental health problems, including massive, coupled with a high treatment gap, such interventions remained neglected in public health ( 29 , 30 ). This issue warrants prompt attention, particularly when global development strategies such as Millennium Development Goals (MDGs) realize the importance of mental health ( 31 ). Furthermore, studies have consistently reported that people with socioeconomic disadvantages are at a higher risk of mental illness and associated adverse outcomes; partly, it is attributed to the inequitable distribution of mental health services ( 32 – 35 ).

Scope of Mental Health Promotion and Prevention in the Current Situation

Literature provides considerable evidence on the effectiveness of various preventive mental health interventions targeting risk and protective factors for various mental illnesses ( 18 , 36 – 42 ). There is also modest evidence of the effectiveness of programs focusing on early identification and intervention for severe mental diseases (e.g., schizophrenia and psychotic illness, and bipolar affective disorders) as well as common mental disorders (e.g., anxiety, depression, stress-related disorders) ( 43 – 46 ). These preventive measures have also been evaluated for their cost-effectiveness with promising findings. In addition, novel interventions such as digital-based interventions and novel therapies (e.g., adventure therapy, community pharmacy program, and Home-based Nurse family partnership program) to address the mental health problems have yielded positive results. Likewise, data is emerging from LMICs, showing at least moderate evidence of mental health promotion intervention effectiveness. However, most of the available literature and intervention is restricted mainly to the HICs ( 47 ). Therefore, their replicability in LMICs needs to be established and, also, there is a need to develop locally suited interventions.

Fortunately, there has been considerable progress in preventive psychiatry over recent decades, including research on it. In the light of these advances, there is an accelerated interest among researchers, clinicians, governments, and policymakers to harness the potentialities of the preventive strategies to improve the availability, accessibility, and utility of such services for the community.

The Concept of Preventive Psychiatry

Origins of preventive psychiatry.

The history of preventive psychiatry can be traced back to the early 1900's with the foundation of the national mental health association (erstwhile mental health association), the committee on mental hygiene in New York, and the mental health hygiene movement ( 48 ). The latter emphasized the need for physicians to develop empathy and recognize and treat mental illness early, leading to greater awareness about mental health prevention ( 49 ). Despite that, preventive psychiatry remained an alien concept for many, including mental health professionals, particularly when the etiology of most psychiatric disorders was either unknown or poorly understood. However, recent advances in our understanding of the phenomena underlying psychiatric disorders and availability of the neuroimaging and electrophysiological techniques concerning mental illness and its prognosis has again brought the preventive psychiatry in the forefront ( 1 ).

Levels of Prevention

The literal meaning of “prevention” is “the act of preventing something from happening” ( 50 ); the entity being prevented can range from the risk factors of the development of the illness, the onset of illness, or the recurrence of the illness or associated disability. The concept of prevention emerged primarily from infectious diseases; measures like mass vaccination and sanitation promotion have helped prevent the development of the diseases and subsequent fatalities. The original preventive model proposed by the Commission on Chronic Illness in 1957 included primary, secondary, and tertiary preventions ( 48 ).

The Concept of Primary, Secondary, and Tertiary Prevention

The stages of prevention target distinct aspects of the illness's natural course; the primary prevention acts at the stage of pre-pathogenesis, that is, when the disease is yet to occur, whereas the secondary and tertiary prevention target the phase after the onset of the disease ( 51 ). Primary prevention includes health promotion and specific protection, while secondary and tertairy preventions include early diagnosis and treatment and measures to decrease disability and rehabilitation, respectively ( 51 ) ( Figure 1 ).

The concept of primary and secondary prevention [adopted from prevention: Primary, Secondary, Tertiary by Bauman et al. ( 51 )].

The primary prevention targets those individuals vulnerable to developing mental disorders and their consequences because of their bio-psycho-social attributes. Therefore, it can be viewed as an intervention to prevent an illness, thereby preventing mental health morbidity and potential social and economic adversities. The preventive strategies under it usually target the general population or individuals at risk. Secondary and tertiary prevention targets those who have already developed the illness, aiming to reduce impairment and morbidity as soon as possible. However, these measures usually occur in a person who has already developed an illness, therefore facing related suffering, hence may not always be successful in curing or managing the illness. Thus, secondary and tertiary prevention measures target the already exposed or diagnosed individuals.

The Concept of Universal, Selective, and Indicated Prevention

The classification of health prevention based on primary/secondary/tertiary prevention is limited in being highly centered on the etiology of the illness; it does not consider the interaction between underlying etiology and risk factors of an illness. Gordon proposed another model of prevention that focuses on the degree of risk an individual is at, and accordingly, the intensity of intervention is determined. He has classified it into universal, selective, and indicated prevention. A universal preventive strategy targets the whole population irrespective of individual risk (e.g., maintaining healthy, psychoactive substance-free lifestyles); selective prevention is targeted to those at a higher risk than the general population (socio-economically disadvantaged population, e.g., migrants, a victim of a disaster, destitute, etc.). The indicated prevention aims at those who have established risk factors and are at a high risk of getting the disease (e.g., family history of psychiatric illness, history of substance use, certain personality types, etc.). Nevertheless, on the other hand, these two classifications (the primary, secondary, and tertiary prevention; and universal, selective, and indicated prevention) have been intended for and are more appropriate for physical illnesses with a clear etiology or risk factors ( 48 ).

In 1994, the Institute of Medicine (IOM) Committee on Prevention of Mental Disorders proposed a new paradigm that classified primary preventive measures for mental illnesses into three categories. These are indicated, selected, and universal preventive interventions (refer Figure 2 ). According to this paradigm, primary prevention was limited to interventions done before the onset of the mental illness ( 48 ). In contrast, secondary and tertiary prevention encompasses treatment and maintenance measures ( Figure 2 ).

The interventions for mental illness as classified by the Institute of Medicine (IOM) Committee on Prevention of Mental Disorders [adopted from Mrazek and Haggerty ( 48 )].

Although the boundaries between prevention and treatment are often more overlapping than being exclusive, the new paradigm can be used to avoid confusion stemming from the common belief that prevention can take place at all parts of mental health management ( 48 ). The onset of mental illnesses can be prevented by risk reduction interventions, which can involve reducing risk factors in an individual and strengthening protective elements in them. It aims to target modifiable factors, both risk, and protective factors, associated with the development of the illness through various general and specific interventions. These interventions can work across the lifespan. The benefits are not restricted to reduction or delay in the onset of illness but also in terms of severity or duration of illness ( 48 ).On the spectrum of mental health interventions, universal preventive interventions are directed at the whole population without identifiable risk factors. The interventions are beneficial for the general population or sub-groups. Prenatal care and childhood vaccination are examples of preventative measures that have benefited both physical and mental health. Selective preventive mental health interventions are directed at people or a subgroup with a significantly higher risk of developing mental disorders than the general population. Risk groups are those who, because of their vulnerabilities, are at higher risk of developing mental illnesses, e.g., infants with low-birth-weight (LBW), vulnerable children with learning difficulties or victims of maltreatment, elderlies, etc. Specific interventions are home visits and new-born day care facilities for LBW infants, preschool programs for all children living in resource-deprived areas, support groups for vulnerable elderlies, etc. Indicated preventive interventions focus on high-risk individuals who have developed minor but observable signs or symptoms of mental disorder or genetic risk factors for mental illness. However, they have not fulfilled the criteria of a diagnosable mental disorder. For instance, the parent-child interaction training program is an indicated prevention strategy that offers support to children whose parents have recognized them as having behavioral difficulties.

The overall objective of mental health promotion and prevention is to reduce the incidence of new cases, additionally delaying the emergence of mental illness. However, promotion and prevention in mental health complement each other rather than being mutually exclusive. Moreover, combining these two within the overall public health framework reduces stigma, increases cost-effectiveness, and provides multiple positive outcomes ( 18 ).

How Prevention in Psychiatry Differs From Other Medical Disorders

Compared to physical illnesses, diagnosing a mental illness is more challenging, particularly when there is still a lack of objective assessment methods, including diagnostic tools and biomarkers. Therefore, the diagnosis of mental disorders is heavily influenced by the assessors' theoretical perspectives and subjectivity. Moreover, mental illnesses can still be considered despite an individual not fulfilling the proper diagnostic criteria led down in classificatory systems, but there is detectable dysfunction. Furthermore, the precise timing of disorder initiation or transition from subclinical to clinical condition is often uncertain and inconclusive ( 48 ). Therefore, prevention strategies are well-delineated and clear in the case of physical disorders while it's still less prevalent in mental health parlance.

Terms, Definitions, and Concepts

The terms mental health, health promotion, and prevention have been differently defined and interpreted. It is further complicated by overlapping boundaries of the concept of promotion and prevention. Some commonly used terms in mental health prevention have been tabulated ( Table 1 ) ( 18 ).

Commonly used terms in mental health prevention.

Mental Health Promotion and Protection

The term “mental health promotion” also has definitional challenges as it signifies different things to different individuals. For some, it means the treatment of mental illness; for others, it means preventing the occurrence of mental illness; while for others, it means increasing the ability to manage frustration, stress, and difficulties by strengthening one's resilience and coping abilities ( 54 ). It involves promoting the value of mental health and improving the coping capacities of individuals rather than amelioration of symptoms and deficits.

Mental health promotion is a broad concept that encompasses the entire population, and it advocates for a strengths-based approach and tries to address the broader determinants of mental health. The objective is to eliminate health inequalities via empowerment, collaboration, and participation. There is mounting evidence that mental health promotion interventions improve mental health, lower the risk of developing mental disorders ( 48 , 55 , 56 ) and have socioeconomic benefits ( 24 ). In addition, it strives to increase an individual's capacity for psychosocial wellbeing and adversity adaptation ( 11 ).

However, the concepts of mental health promotion, protection, and prevention are intrinsically linked and intertwined. Furthermore, most mental diseases result from complex interaction risk and protective factors instead of a definite etiology. Facilitating the development and timely attainment of developmental milestones across an individual's lifespan is critical for positive mental health ( 57 ). Although mental health promotion and prevention are essential aspects of public health with wide-ranging benefits, their feasibility and implementation are marred by financial and resource constraints. The lack of cost-effectiveness studies, particularly from the LMICs, further restricts its full realization ( 47 , 58 , 59 ).

Despite the significance of the topic and a considerable amount of literature on it, a comprehensive review is still lacking that would cover the concept of mental health promotion and prevention and simultaneously discusses various interventions, including the novel techniques delivered across the lifespan, in different settings, and level of prevention. Therefore, this review aims to analyze the existing literature on various mental health promotion and prevention-based interventions and their effectiveness. Furthermore, its attempts to highlight the implications of such intervention in low-resource settings and provides future directions. Such literature would add to the existing literature on mental health promotion and prevention research and provide key insights into the effectiveness of such interventions and their feasibility and replicability in various settings.

Methodology

For the current review, key terms like “mental health promotion,” OR “protection,” OR “prevention,” OR “mitigation” were used to search relevant literature on Google Scholar, PubMed, and Cochrane library databases, considering a time period between 2000 to 2019 ( Supplementary Material 1 ). However, we have restricted our search till 2019 for non-original articles (reviews, commentaries, viewpoints, etc.), assuming that it would also cover most of the original articles published until then. Additionally, we included original papers from the last 5 years (2016–2021) so that they do not get missed out if not covered under any published review. The time restriction of 2019 for non-original articles was applied to exclude papers published during the Coronavirus disease (COVID-19) pandemic as the latter was a significant event, bringing about substantial change and hence, it warranted a different approach to cater to the MH needs of the population, including MH prevention measures. Moreover, the COVID-19 pandemic resulted in the flooding of novel interventions for mental health prevention and promotion, specifically targeting the pandemic and its consequences, which, if included, could have biased the findings of the current review on various MH promotion and prevention interventions.

A time frame of about 20 years was taken to see the effectiveness of various MH promotion and protection interventions as it would take substantial time to be appreciated in real-world situations. Therefore, the current paper has put greater reliance on the review articles published during the last two decades, assuming that it would cover most of the original articles published until then.

The above search yielded 320 records: 225 articles from Google scholar, 59 articles from PubMed, and 36 articles from the Cochrane database flow-diagram of records screening. All the records were title/abstract screened by all the authors to establish the suitability of those records for the current review; a bibliographic- and gray literature search was also performed. In case of any doubts or differences in opinion, it was resolved by mutual discussion. Only those articles directly related to mental health promotion, primary prevention, and related interventions were included in the current review. In contrast, records that discussed any specific conditions/disorders (post-traumatic stress disorders, suicide, depression, etc.), specific intervention (e.g., specific suicide prevention intervention) that too for a particular population (e.g., disaster victims) lack generalizability in terms of mental health promotion or prevention, those not available in the English language, and whose full text was unavailable were excluded. The findings of the review were described narratively.

Interventions for Mental Health Promotion and Prevention and Their Evidence

Various interventions have been designed for mental health promotion and prevention. They are delivered and evaluated across the regions (high-income countries to low-resource settings, including disaster-affiliated regions of the world), settings (community-based, school-based, family-based, or individualized); utilized different psychological constructs and therapies (cognitive behavioral therapy, behavioral interventions, coping skills training, interpersonal therapies, general health education, etc.); and delivered by different professionals/facilitators (school-teachers, mental health professionals or paraprofessionals, peers, etc.). The details of the studies, interventions used, and outcomes have been provided in Supplementary Table 1 . Below we provide the synthesized findings of the available research.

The majority of the available studies were quantitative and experimental. Randomized controlled trials comprised a sizeable proportion of the studies; others were quasi-experimental studies and, a few, qualitative studies. The studies primarily focussed on school students or the younger population, while others were explicitly concerned with the mental health of young females ( 60 ). Newer data is emerging on mental health promotion and prevention interventions for elderlies (e.g., dementia) ( 61 ). The majority of the research had taken a broad approach to mental health promotion ( 62 ). However, some studies have focused on universal prevention ( 63 , 64 ) or selective prevention ( 65 – 68 ). For instance, the Resourceful Adolescent Program (RAPA) was implemented across the schools and has utilized cognitive-behavioral and interpersonal therapies and reported a significant improvement in depressive symptoms. Some of the interventions were directed at enhancing an individual's characteristics like resilience, behavior regulation, and coping skills (ZIPPY's Friends) ( 69 ), while others have focused on the promotion of social and emotional competencies among the school children and attempted to reduce the gap in such competencies across the socio-economic classes (“Up” program) ( 70 ) or utilized expressive abilities of the war-affected children (Writing for Recover (WfR) intervention) ( 71 ) to bring about an improvement in their psychological problems (a type of selective prevention) ( 62 ) or harnessing the potential of Art, in the community-based intervention, to improve self-efficacy, thus preventing mental disorders (MAD about Art program) ( 72 ). Yet, others have focused on strengthening family ( 60 , 73 ), community relationships ( 62 ), and targeting modifiable risk factors across the life course to prevent dementia among the elderlies and also to support the carers of such patients ( 61 ).

Furthermore, more of the studies were conducted and evaluated in the developed parts of the world, while emerging economies, as anticipated, far lagged in such interventions or related research. The interventions that are specifically adapted for local resources, such as school-based programs involving paraprofessionals and teachers in the delivery of mental health interventions, were shown to be more effective ( 62 , 74 ). Likewise, tailored approaches for low-resource settings such as LMICs may also be more effective ( 63 ). Some of these studies also highlight the beneficial role of a multi-dimensional approach ( 68 , 75 ) and interventions targeting early lifespan ( 76 , 77 ).

Newer Insights: How to Harness Digital Technology and Novel Methods of MH Promotion and Protection

With the advent of digital technology and simultaneous traction on mental health promotion and prevention interventions, preventive psychiatrists and public health experts have developed novel techniques to deliver mental health promotive and preventive interventions. These encompass different settings (e.g., school, home, workplace, the community at large, etc.) and levels of prevention (universal, selective, indicated) ( 78 – 80 ).

The advanced technologies and novel interventions have broadened the scope of MH promotion and prevention, such as addressing the mental health issues of individuals with chronic medical illness ( 81 , 82 ), severe mental disorders ( 83 ), children and adolescents with mental health problems, and geriatric population ( 78 ). Further, it has increased the accessibility and acceptability of such interventions in a non-stigmatizing and tailored manner. Moreover, they can be integrated into the routine life of the individuals.

For instance, Internet-and Mobile-based interventions (IMIs) have been utilized to monitor health behavior as a form of MH prevention and a stand-alone self-help intervention. Moreover, the blended approach has expanded the scope of MH promotive and preventive interventions such as face-to-face interventions coupled with remote therapies. Simultaneously, it has given way to the stepped-care (step down or step-up care) approach of treatment and its continuation ( 79 ). Also, being more interactive and engaging is particularly useful for the youth.

The blended model of care has utilized IMIs to a varying degree and at various stages of the psychological interventions. This includes IMIs as a supplementary approach to the face-to-face-interventions (FTFI), FTFI augmented by behavior intervention technologies (BITs), BITs augmented by remote human support, and fully automated BITs ( 84 ).

The stepped care model of mental health promotion and prevention strategies includes a stepped-up approach, wherein BITs are utilized to manage the prodromal symptoms, thereby preventing the onset of the full-blown episode. In the Stepped-down approach, the more intensive treatments (in-patient or out-patient based interventions) are followed and supplemented with the BITs to prevent relapse of the mental illness, such as for previously admitted patients with depression or substance use disorders ( 85 , 86 ).

Similarly, the latest research has developed newer interventions for strengthening the psychological resilience of the public or at-risk individuals, which can be delivered at the level of the home, such as, e.g., nurse family partnership program (to provide support to the young and vulnerable mothers and prevent childhood maltreatment) ( 87 ); family healing together program aimed at improving the mental health of the family members living with persons with mental illness (PwMI) ( 88 ). In addition, various novel interventions for MH promotion and prevention have been highlighted in the Table 2 .

Depiction of various novel mental health promotion and prevention strategies.

a/w, associated with; A-V, audio-visual; b/w, between; CBT, Cognitive Behavioral Therapy; CES-Dep., Center for Epidemiologic Studies-Depression scale; CG, control group; FU, follow-up; GAD, generalized anxiety disorders-7; IA, intervention arm; HCWs, Health Care Workers; LMIC, low and middle-income countries; MDD, major depressive disorders; mgt, management; MH, mental health; MHP, mental health professional; MINI, mini neuropsychiatric interview; NNT, number needed to treat; PHQ-9, patient health questionnaire; TAU, treatment as usual .

Furthermore, school/educational institutes-based interventions such as school-Mental Health Magazines to increase mental health literacy among the teachers and students have been developed ( 80 ). In addition, workplace mental health promotional activities have targeted the administrators, e.g., guided “e-learning” for the managers that have shown to decrease the mental health problems of the employees ( 102 ).

Likewise, digital technologies have also been harnessed in strengthening community mental health promotive/preventive services, such as the mental health first aid (MHFA) Books on Prescription initiative in New Zealand provided information and self-help tools through library networks and trained book “prescribers,” particularly in rural and remote areas ( 103 ).

Apart from the common mental disorders such as depression, anxiety, and behavioral disorders in the childhood/adolescents, novel interventions have been utilized to prevent the development of or management of medical, including preventing premature mortality and psychological issues among the individuals with severe mental illnesses (SMIs), e.g., Lets' talk about tobacco-web based intervention and motivational interviewing to prevent tobacco use, weight reduction measures, and promotion of healthy lifestyles (exercise, sleep, and balanced diets) through individualized devices, thereby reducing the risk of cardiovascular disorders ( 83 ). Similarly, efforts have been made to improve such individuals' coping skills and employment chances through the WorkingWell mobile application in the US ( 104 ).

Apart from the digital-based interventions, newer, non-digital-based interventions have also been utilized to promote mental health and prevent mental disorders among individuals with chronic medical conditions. One such approach in adventure therapy aims to support and strengthen the multi-dimensional aspects of self. It includes the physical, emotional or cognitive, social, spiritual, psychological, or developmental rehabilitation of the children and adolescents with cancer. Moreover, it is delivered in the natural environment outside the hospital premises, shifting the focus from the illness model to the wellness model ( 81 ). Another strength of this intervention is it can be delivered by the nurses and facilitate peer support and teamwork.

Another novel approach to MH prevention is gut-microbiota and dietary interventions. Such interventions have been explored with promising results for the early developmental disorders (Attention deficit hyperactive disorder, Autism spectrum disorders, etc.) ( 105 ). It works under the framework of the shared vulnerability model for common mental disorders and other non-communicable diseases and harnesses the neuroplasticity potential of the developing brain. Dietary and lifestyle modifications have been recommended for major depressive disorders by the Clinical Practice Guidelines in Australia ( 106 ). As most childhood mental and physical disorders are determined at the level of the in-utero and early after the birth period, targeting maternal nutrition is another vital strategy. The utility has been expanded from maternal nutrition to women of childbearing age. The various novel mental health promotion and prevention strategies are shown in Table 2 .

Newer research is emerging that has utilized the digital platform for training non-specialists in diagnosis and managing individuals with mental health problems, such as Atmiyata Intervention and The SMART MH Project in India, and The Allillanchu Project in Peru, to name a few ( 99 ). Such frameworks facilitate task-sharing by the non-specialist and help in reducing the treatment gap in these countries. Likewise, digital algorithms or decision support systems have been developed to make mental health services more transparent, personalized, outcome-driven, collaborative, and integrative; one such example is DocuMental, a clinical decision support system (DSS). Similarly, frameworks like i-PROACH, a cloud-based intelligent platform for research outcome assessment and care in mental health, have expanded the scope of the mental health support system, including promoting research in mental health ( 100 ). In addition, COVID-19 pandemic has resulted in wider dissemination of the applications based on the evidence-based psycho-social interventions such as National Health Service's (NHS's) Mind app and Headspace (teaching meditation via a website or a phone application) that have utilized mindfulness-based practices to address the psychological problems of the population ( 101 ).

Challenges in Implementing Novel MH Promotion and Prevention Strategies

Although novel interventions, particularly internet and mobile-based interventions (IMIs), are effective models for MH promotion and prevention, their cost-effectiveness requires further exploration. Moreover, their feasibility and acceptability in LMICs could be challenging. Some of these could be attributed to poor digital literacy, digital/network-related limitations, privacy issues, and society's preparedness to implement these interventions.

These interventions need to be customized and adapted according to local needs and context, for which implementation and evaluative research are warranted. In addition, the infusion of more human and financial resources for such activities is required. Some reports highlight that many of these interventions do not align with the preferences and use the pattern of the service utilizers. For instance, one explorative research on mental health app-based interventions targeting youth found that despite the burgeoning applications, they are not aligned with the youth's media preferences and learning patterns. They are less interactive, have fewer audio-visual displays, are not youth-specific, are less dynamic, and are a single touch app ( 107 ).

Furthermore, such novel interventions usually come with high costs. In low-resource settings where service utilizers have limited finances, their willingness to use such services may be doubtful. Moreover, insurance companies, including those in high-income countries (HICs), may not be willing to fund such novel interventions, which restricts the accessibility and availability of interventions.

Research points to the feasibility and effectiveness of incorporating such novel interventions in routine services such as school, community, primary care, or settings, e.g., in low-resource settings, the resource persons like teachers, community health workers, and primary care physicians are already overburdened. Therefore, their willingness to take up additional tasks may raise skepticism. Moreover, the attitudinal barrier to moving from the traditional service delivery model to the novel methods may also impede.

Considering the low MH budget and less priority on the MH prevention and promotion activities in most low-resource settings, the uptake of such interventions in the public health framework may be lesser despite the latter's proven high cost-effectiveness. In contrast, policymakers may be more inclined to invest in the therapeutic aspects of MH.

Such interventions open avenues for personalized and precision medicine/health care vs. the traditional model of MH promotion and preventive interventions ( 108 , 109 ). For instance, multivariate prediction algorithms with methods of machine learning and incorporating biological research, such as genetics, may help in devising tailored, particularly for selected and indicated prevention, interventions for depression, suicide, relapse prevention, etc. ( 79 ). Therefore, more research in this area is warranted.

To be more clinically relevant, greater biological research in MH prevention is required to identify those at higher risk of developing given mental disorders due to the existing risk factors/prominent stress ( 110 ). For instance, researchers have utilized the transcriptional approach to identify a biological fingerprint for susceptibility (denoting abnormal early stress response) to develop post-traumatic stress disorders among the psychological trauma survivors by analyzing the expression of the Peripheral blood mononuclear cell gene expression profiles ( 111 ). Identifying such biological markers would help target at-risk individuals through tailored and intensive interventions as a form of selected prevention.

Similarly, such novel interventions can help in targeting the underlying risk such as substance use, poor stress management, family history, personality traits, etc. and protective factors, e.g., positive coping techniques, social support, resilience, etc., that influences the given MH outcome ( 79 ). Therefore, again, it opens the scope of tailored interventions rather than a one-size-fits-all model of selective and indicated prevention for various MH conditions.

Furthermore, such interventions can be more accessible for the hard-to-reach populations and those with significant mental health stigma. Finally, they play a huge role in ensuring the continuity of care, particularly when community-based MH services are either limited or not available. For instance, IMIs can maintain the improvement of symptoms among individuals previously managed in-patient, such as for suicide, SUDs, etc., or receive intensive treatment like cognitive behavior therapy (CBT) for depression or anxiety, thereby helping relapse prevention ( 86 , 112 ). Hence, such modules need to be developed and tested in low-resource settings.

IMIs (and other novel interventions) being less stigmatizing and easily accessible, provide a platform to engage individuals with chronic medical problems, e.g., epilepsy, cancer, cardiovascular diseases, etc., and non-mental health professionals, thereby making it more relevant and appealing for them.

Lastly, research on prevention-interventions needs to be more robust to adjust for the pre-intervention matching, high attrition rate, studying the characteristics of treatment completers vs. dropouts, and utilizing the intention-to-treat analysis to gauge the effect of such novel interventions ( 78 ).

Recommendations for Low-and-Middle-Income Countries

Although there is growing research on the effectiveness and utility of mental health promotion/prevention interventions across the lifespan and settings, low-resource settings suffer from specific limitations that restrict the full realization of such public health strategies, including implementing the novel intervention. To overcome these challenges, some of the potential solutions/recommendations are as follows:

• The mental health literacy of the population should be enhanced through information, education, and communication (IEC) activities. In addition, these activities should reduce stigma related to mental problems, early identification, and help-seeking for mental health-related issues.
• Involving teachers, workplace managers, community leaders, non-mental health professionals, and allied health staff in mental health promotion and prevention is crucial.
• Mental health concepts and related promotion and prevention should be incorporated into the education curriculum, particularly at the medical undergraduate level.
• Training non-specialists such as community health workers on mental health-related issues across an individual's life course and intervening would be an effective strategy.
• Collaborating with specialists from other disciplines, including complementary and alternative medicines, would be crucial. A provision of an integrated health system would help in increasing awareness, early identification, and prompt intervention for at-risk individuals.
• Low-resource settings need to develop mental health promotion interventions such as community-and school-based interventions, as these would be more culturally relevant, acceptable, and scalable.
• Utilizing a digital platform for scaling mental health services (e.g., telepsychiatry services to at-risk populations) and training the key individuals in the community would be a cost-effective framework that must be explored.
• Infusion of higher financial and human resources in this area would be a critical step, as, without adequate resources, research, service development, and implementation would be challenging.
• It would also be helpful to identify vulnerable populations and intervene in them to prevent the development of clinical psychiatric disorders.
• Lastly, involving individuals with lived experiences at the level of mental health planning, intervention development, and delivery would be cost-effective.

Clinicians, researchers, public health experts, and policymakers have increasingly realized mental health promotion and prevention. Investment in Preventive psychiatry appears to be essential considering the substantial burden of mental and neurological disorders and the significant treatment gap. Literature suggests that MH promotive and preventive interventions are feasible and effective across the lifespan and settings. Moreover, various novel interventions (e.g., internet-and mobile-based interventions, new therapies) have been developed worldwide and proven effective for mental health promotion and prevention; such interventions are limited mainly to HICs.

Despite the significance of preventive psychiatry in the current world and having a wide-ranging implication for the wellbeing of society and individuals, including those suffering from chronic medical problems, it is a poorly utilized public health field to address the population's mental health needs. Lately, researchers and policymakers have realized the untapped potentialities of preventive psychiatry. However, its implementation in low-resource settings is still in infancy and marred by several challenges. The utilization of novel interventions, such as digital-based interventions, and blended and stepped-care models of care, can address the enormous mental health need of the population. Additionally, it provides mental health services in a less-stigmatizing and easily accessible, and flexible manner. More research concerning this is required from the LMICs.

Author Contributions

VS, AK, and SG: methodology, literature search, manuscript preparation, and manuscript review. All authors contributed to the article and approved the submitted version.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher's Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpsyt.2022.898009/full#supplementary-material

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Women's health pac launches: a turning point for research and care.

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Women's healthcare is on the cusp of becoming a national priority.

The creation of the bipartisan Women's Health PAC signifies a critical juncture in the movement to elevate women's health on the national political stage. Historically, this field has been underfunded and stigmatized, leading to significant knowledge gaps and disparities in healthcare. However, the landscape is changing positively with increased government funding, targeted initiatives, and a growing interest from venture capitalists.

Despite this progress, significant challenges persist. The PAC's mission is to solidify women's health as a national priority, ensuring adequate funding for every stage in the development of treatments. This momentum, fueled by recent government actions and heightened venture capital involvement, promises to drive substantial progress in women's health research and outcomes.

The ultimate goal is to achieve comprehensive health care that addresses the unique needs of all women while unlocking a potential $1 trillion annual economic opportunity.

Women's Health PAC Fights For Parity In Funding

A group of women’s health leaders recently launched the first-ever bipartisan Women's Health PAC, dedicated to making women’s health a sustained national political priority . Candace McDonald, Jodi Neuhauser, and Liz Powell co-founded the group.

Early-stage women's health research is risky but can be rewarding. Government funding bridges the gap, allowing researchers to explore promising yet uncertain avenues with high breakthrough potential. Investors often demand preliminary data before funding, creating a catch-22.

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While women represent more than half the population, the National Institute of Health allocated only $4,466 million—10.8% —of its budget to women's health research. Historically underfunded, women's health research suffers from knowledge gaps and healthcare disparities. U.S. government funding must target neglected areas, ensuring that research addresses the health needs of all populations, including marginalized and underserved groups.

Most funding decision-makers are men. By and large, they need to become more familiar with women's health challenges. “I spend a lot of time explaining things, which is very challenging,” said Elizabeth Garner, OB/GYN and Gynecologic Oncologist. Seventeen years ago, she left clinical medicine and entered the pharmaceutical industry. She is currently the chief scientific officer at Ferring Pharmaceuticals. “We need more education!”

Stigma shrouds women's health, from menstruation and menopause that only affect women to diseases that are more likely to affect women, such as autoimmune disorders and Alzheimer’s, and to diseases like cardiovascular that affect women differently than men. The taboos surrounding women’s health discourage open dialogue, making these issues seem less important and hindering research funding.

Another issue: Joanna Strober, CEO and founder of Midi Health, points out that estrogen is connected to the prevention of Alzheimer's, cardiovascular disease, osteoporosis, and osteopenia. The company provides virtual care to women 35 to 65. Due to its status as a generic drug, estrogen offers less financial incentive for pharmaceutical companies to investigate its potential benefits for these diseases. Testosterone plays a role in women’s bone health, libido, and brain health. It, too, is a generic drug with lower profit margins than patented drugs. There is no research investigating how estrogen and testosterone can be used to improve women’s health as they age.

Government grants act as seed money, enabling researchers to gather crucial data, develop prototypes, and demonstrate proof of concept, paving the way for later-stage private and philanthropic investment.

Women are underrepresented in all stages of the product development continuum, including R&D, data collection, clinical trials, founding companies, and being VCs. The result is that diseases impacting women receive less federal research funding than those affecting men.

The Women's Health PAC will ensure politicians remain focused on women's health by race and ethnicity. It will organize grassroots events, spearhead awareness marketing campaigns, provide financial support to bipartisan candidates supporting women’s health, leverage political and financial influence, and continuously focus on women’s health.

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