n (%)
Most of the respondents are between 18 and 23 years old (48.1%), and 62% of them are students. Most respondents live in an urban area (80.9%) and are people with a secondary education (baccalaureate diploma) (41.4%). In addition, from the processing of the anthropometric data ( Figure 3 a), overweight (39.4%) and obese (19.4%) people are found among the respondents aged over 45 in the largest number, compared to those aged between 18 and 23 years (13.4% overweight and 5.6% obese) or aged between 24 and 35 years (15.6% overweight, 6% obese). Respondents with a normal weight are the majority in the age groups 18–23 (68.2%) and 24–35 (68.7%).
Weight status according to ( a ) age group (χ 2 = 160.49, p < 0.001), and ( b ) gender (χ 2 = 112.22, p < 0.001).
Higher percentages of overweight (29.2%) and obese (16.9%) respondents are found among the male respondents ( Figure 3 b). Underweight people are more common among the female respondents (11.8%) compared to the male participants (2.4%).
The evaluation of the consumption of junk food products was based on four categories of food products: sweets (cakes, candies, ice cream, packaged sweet products, chewing gum), drinks (sweetened carbohydrates, sweetened non-carbohydrates, energy drinks, coffee), fast foods (hotdogs, hamburgers, fries, wrapped sandwiches, shawarma) and salty snacks (snacks, pastries, crisps). Each positive response related to consumption was quantified with 1, while each negative response related to the consumption of a certain indicated junk food product was quantified with 0. A number of 162 (9.4%) respondents said that they do not consume any of the junk food products indicated.
Chi-square analysis and correspondence analysis (CA) were conducted for the anthropometric variables of BMI and age.
For the age groups, the bi-plot indicates that 97.01% of the variability observed can be attributed to the two main components for F1 (88.67%) and F2 (8.34%). CA shows a significant difference (χ 2 = 68.66 and p < 0.001) between age groups, and the 17 types of junk food products ( Figure 4 ). The 24–35 and 36–45 age groups show similar profiles in terms of junk food consumption.
The first two dimensions of the correspondence analysis (CA) symmetric plot, using age (18–23, 24–35, 36–45, and 45 and older) as rows, and all the 17 answers as columns.
Overall, the most consumed junk food products are fried potatoes (46.2%) and pastries (41.4%). The comparisons of the column proportions indicate that the percentage of respondents who consume junk food products, younger than 23 years old, was significantly higher than those older than 35 years old ( Table 2 ). Only 73 of the respondents declare that they consume hot dogs as a junk food product, with 64.4% being in the 18–23 age group. Energy drinks are also consumed mainly by young respondents (76.6%).
Type of consumed junk food products according to age, and test of equality for column proportions (z-test).
Type of Consumed Junk Food Products | Age | |||||||
---|---|---|---|---|---|---|---|---|
18–23 (a) | 24–35 (b) | 36–45 (c) | >45 (d) | |||||
n | % | n | % | n | % | n | % | |
Hamburgers | 223 | 63.4 | 99 | 28.1 | 23 | 6.5 | 7 | 2.0 |
Hot dogs | 47 | 64.4 | 21 | 28.8 | 2 | 2.7 | 3 | 4.1 |
French fries | 454 | 56.3 | 252 | 31.3 | 74 | 9.2 | 26 | 3.2 |
Shawarma | 149 | 60.6 | 70 | 28.5 | 18 | 7.3 | 9 | 3.7 |
Packaged sandwiches | 144 | 64.9 | 57 | 25.7 | 16 | 7.2 | 5 | 2.3 |
Chips | 261 | 62.3 | 122 | 29.1 | 30 | 7.2 | 6 | 1.4 |
Snacks | 313 | 70.3 | 109 | 24.5 | 18 | 4.0 | 5 | 1.1 |
Pastries | 413 | 58.0 | 213 | 29.9 | 57 | 8.0 | 29 | 4.1 |
Other packaged sweets | 147 | 56.5 | 83 | 31.9 | 19 | 7.3 | 11 | 4.2 |
Candies | 231 | 55.5 | 124 | 29.8 | 34 | 8.2 | 27 | 6.5 |
Ice cream | 125 | 50.4 | 66 | 26.6 | 29 | 11.7 | 28 | 11.3 |
Other sweets | 267 | 55.9 | 159 | 33.3 | 31 | 6.5 | 21 | 4.4 |
Chewing-gum | 360 | 61.9 | 158 | 27.1 | 38 | 6.5 | 26 | 4.5 |
Sweetened carbonated drinks | 325 | 57.5 | 161 | 28.5 | 59 | 10.4 | 20 | 3.5 |
Sweetened soft drinks | 201 | 65.3 | 81 | 26.3 | 12 | 3.9 | 14 | 4.5 |
Energizing drinks | 131 | 76.6 | 28 | 16.4 | 9 | 5.3 | 3 | 1.8 |
Coffee | 450 | 41.7 | 349 | 32.3 | 144 | 13.3 | 136 | 12.6 |
Do not consume | 52 | 32.1 | 35 | 21.6 | 33 | 20.4 | 42 | 25.9 |
Values in the same row not sharing the same superscript were significantly different at p < 0.05 in the two-sided test of equality for column proportions (z-test). Tests were adjusted for all pairwise comparisons within a row of each innermost sub-table using the Bonferroni correction.
For BMI, the biplot indicated that 95.67% of the variability observed could be attributed to the two principal components for F1 (85.28%) and F2 (10.39%). The CA showed a significant difference (χ 2 = 72.33 and p < 0.001) between BMI and the 17 types of junk food products ( Figure 5 ). Obese and overweight respondents present similar profiles related to the consumption of junk food products.
The first two dimensions of the correspondence analysis (CA) symmetric plot using BMI (Underweight, Normal weight, Overweight and Obese) as rows, and all 17 answers as columns.
The comparisons of the column proportions indicated that underweight people prefer the consumption of salty products (chips 39.9%, snacks 36.9%, and pastries 57.1%) in a significantly higher percentage compared to the other categories ( Table 3 ).
Type of consumed junk food products by age and test of equality for column proportions (z-test).
Type of Consumed Junk Food Products | BMI | |||||||
---|---|---|---|---|---|---|---|---|
Underweight (a) | Normal Weight (b) | Overweight (c) | Obese (d) | |||||
n | % | n | % | n | % | n | % | |
Hamburgers | 44 | 26.2 | 211 | 19.2 | 60 | 19.5 | 37 | 25.5 |
Hot dogs | 12 | 7.1 | 36 | 3.3 | 15 | 4.9 | 10 | 6.9 |
French fries | 94 | 56.0 | 519 | 47.3 | 127 | 41.2 | 66 | 45.5 |
Shawarma | 24 | 14.3 | 138 | 12.6 | 54 | 17.5 | 30 | 20.7 |
Packaged sandwiches | 18 | 10.7 | 143 | 13.00 | 47 | 15.3 | 14 | 9.7 |
Chips | 67 | 39.9 | 266 | 24.2 | 56 | 18.2 | 30 | 20.7 |
Snacks | 62 | 36.9 | 296 | 27.0 | 61 | 19.8 | 26 | 17.9 |
Pastries | 96 | 57.1 | 451 | 41.1 | 114 | 37.0 | 51 | 35.2 |
Other packaged sweets | 26 | 15.5 | 172 | 15.7 | 40 | 13.0 | 22 | 15.2 |
Candies | 51 | 30.4 | 279 | 25.4 | 57 | 18.5 | 29 | 20.0 |
Ice cream | 27 | 16.1 | 140 | 12.8 | 46 | 14.9 | 35 | 24.1 |
Other sweets | 60 | 35.7 | 318 | 29.0 | 73 | 23.7 | 27 | 18.6 |
Chewing gum | 65 | 38.7 | 375 | 34.2 | 103 | 33.4 | 39 | 26.9 |
Sweetened carbonated drinks | 75 | 44.6 | 327 | 29.8 | 101 | 32.8 | 62 | 42.8 |
Sweetened soft drinks | 45 | 26.8 | 196 | 17.9 | 48 | 15.6 | 19 | 13.1 |
Energizing drinks | 16 | 9.5 | 102 | 9.3 | 34 | 11.0 | 19 | 13.1 |
Coffee | 94 | 56.0 | 678 | 61.7 | 210 | 68.2 | 97 | 66.9 |
Do not consume | 15 | 8.9 | 103 | 9.4 | 25 | 8.1 | 19 | 13.1 |
To determine the level of junk food consumption, all the food products associated with the four categories (sweets, sweetened drinks, fast food products, and salty snacks) were summed, to obtain a total number of 17 products, with this being considered the maximum value. The classification was made as follows: a total score less than or equal to 4 was classified as low consumption, the score between 5 and 9 was classified as medium consumption, and the score greater than 9 was considered high consumption of junk food ( Table 3 ).
Multiple linear regression analysis was used to investigate the association between fast-food consumption and the sociodemographic and anthropometric variables. In the multiple logistic regression analysis, three variables were significant to predict for a higher junk food consumption ( Table 4 ): age: χ 2 = 18.082, p = 0.032, aender: χ 2 = 9.897, p = 0.019, BMI: χ 2 = 17.127, p < 0.047, and level of education: χ 2 = 76.205, p < 0.001.
Results of the multinomial logistic regression for the junk food consumption level.
Independent Variables | Junk Food Consumption Level | ||||||||
---|---|---|---|---|---|---|---|---|---|
Low | Medium | High | |||||||
OR | 95% CI | OR | 95% CI | OR | 95% CI | ||||
Gender | |||||||||
Male | 1 | 1 | 1 | ||||||
Female | 1.771 | (1.155–2.715) | 0.009 | 1.420 | (0.909–2.217) | 0.123 | 0.703 | (0.195–0.959) | 0.011 |
Age (years) | |||||||||
18–23 | 0.997 | (0.481–2.068) | 0.994 | 1.474 | (0.670–3.243) | 0.335 | 2.907 | (1.225–6.898) | 0.015 |
24–35 | 1.312 | (0.674–2.556) | 0.048 | 2.082 | (1.007–4.305) | 0.048 | 2.670 | (0.965–7.382) | 0.058 |
36–45 | 0.882 | (0.444–1.749) | 0.719 | 1.234 | (0.579–2.629) | 0.586 | 0.517 | (0.142–1.882) | 0.317 |
>45 | 1 | 1 | 1 | ||||||
Residence area | |||||||||
Urban area | 1 | 1 | 1 | ||||||
Rural area | 0.787 | (0.497–1.245) | 0.307 | 0.913 | (0.568–1.468) | 0.706 | 0.898 | (0.490–1.645) | 0.728 |
Level of education | |||||||||
General/primary studies | 0.847 | (0.312–2.297) | 0.745 | 1.083 | (0.718–5.472) | 0.186 | 3.304 | (1.003–8.556) | 0.049 |
Secondary education (baccalaureate degree) | 1.107 | (0.684–1.793) | 0.678 | 2.607 | (1.574–4.308) | <0.001 | 3.258 | (1.693–6.273) | <0.001 |
Post-secondary studies | 0.797 | (0.378–1.683) | 0.552 | 1.024 | (0.460–2.283) | 0.953 | 1.157 | (0.387–3.46) | 0.795 |
Higher education (bachelor’s degree) | 1 | 1 | 1 | ||||||
Postgraduate studies (master’s degree, residency, doctorate, other specializations) | 0.655 | (0.4–1.074) | 0.093 | 0.784 | (0.457–1.343) | 0.375 | 0.897 | (0.419–1.921) | 0.897 |
Body mass index (BMI) | |||||||||
Underweight category (<18.5) | 0.922 | (0.444–1.913) | 0.922 | 0.643 | (0.306–1.350) | 0.243 | 0.586 | (0.246–1.393) | 0.226 |
Normal limits (18.5–24.9) | 1 | 1 | 1 | ||||||
Overweight category (25–29.9) | 0.635 | (0.285–1.411) | 0.265 | 0.508 | (0.225–1.148) | 0.104 | 0.473 | (0.179–1.249) | 0.131 |
Obese (≥30) | 0.731 | (0.291–1.834) | 0.504 | 0.617 | (0.241–1.580) | 0.314 | 3.969 | (1.644–9.589) | 0.025 |
Dependent variable: do not consume frequently junk food as reference category.
Female respondents show a lower tendency toward an increased consumption of junk food products (OR = 0.703, 95%(CI): 0.19–0.95, p = 0.011) compared to male respondents. Participants between the ages of 18 and 23, with secondary education with/without a high school diploma, and those who are obese, show an approximately three-times-higher tendency to consume junk food products.
The data were completed with a new categorical variable named “Adherence to a healthy diet”, which was constructed based on the answers to questions that tracked the frequency of healthy food consumption (vegetables and fruits, eggs, dairy products, fish, seafood, meat, virgin and extra-virgin vegetable oils, whole grains, moderate consumption of sweets, alcohol, proper hydration), with all questions having answers from 1 (very little or not at all, regarding the frequency of consumption) up to 5 (a lot or always, frequency of consumption). Summing the answers formed a raw score, which we then scaled into a T score (standardized), with an average of 53.48 and standard deviation of 7. Scores above 60 indicated maximum values for adherence to a healthy diet, and those below 50 indicated an adherence to an unhealthy diet ( Table 5 ).
Adherence to healthy diet by age group, gender, BMI group, residence area, education level, and employment status (n = 1719).
Variable | Adherence to Healthy Diet Mean = 49.47, SD = 6.27, Min = 26, Max = 68 | |||||
---|---|---|---|---|---|---|
Unhealthy Diet | Medium Healthy Diet | Healthy Diet | ||||
n | % | n | % | n | % | |
Total | 438 | 25.48 | 960 | 55.85 | 321 | 18.67 |
Gender (χ = 4.92, = 0.085) | ||||||
Female | 327 | 74.66 | 760 | 79.17 | 259 | 80.69 |
Male | 111 | 25.34 | 200 | 20.83 | 62 | 19.31 |
Age (years) (χ = 50.2, < 0.001) | ||||||
18–23 | 249 | 56.85 | 459 | 47.81 | 118 | 36.76 |
24–35 | 109 | 24.89 | 299 | 31.15 | 93 | 28.97 |
36–45 | 54 | 12.33 | 104 | 10.83 | 54 | 16.82 |
>45 | 26 | 5.94 | 98 | 10.21 | 56 | 17.45 |
Residence area (χ = 1.5, = 0.471) | ||||||
Urban area | 346 | 79.00 | 785 | 81.77 | 259 | 80.69 |
Rural area | 92 | 21.00 | 175 | 18.23 | 62 | 19.31 |
Level of education (χ = 26.08, = 0.001) | ||||||
General/primary studies | 29 | 6.62 | 44 | 4.58 | 16 | 4.98 |
Secondary education (baccalaureate degree) | 198 | 45.21 | 410 | 42.71 | 104 | 32.40 |
Post-secondary studies | 30 | 6.85 | 60 | 6.25 | 22 | 6.85 |
Higher education (bachelor’s degree) | 124 | 28.31 | 253 | 26.35 | 105 | 32.71 |
Postgraduate studies (master’s degree, residency, doctorate, other specializations) | 57 | 13.01 | 193 | 20.10 | 74 | 23.05 |
Employment status (χ = 54.93, < 0.001) | ||||||
Unemployed | 8 | 1.83 | 6 | 0.63 | 5 | 1.56 |
Socially assisted | 4 | 0.91 | 0 | 0.00 | 2 | 0.62 |
Householder | 7 | 1.60 | 16 | 1.67 | 7 | 2.18 |
Retired | 1 | .23 | 7 | 0.73 | 8 | 2.49 |
Student | 299 | 68.26 | 600 | 62.50 | 167 | 52.02 |
Teleworking | 7 | 1.60 | 11 | 1.15 | 9 | 2.80 |
I go to work every day | 106 | 24.20 | 281 | 29.27 | 101 | 31.46 |
I work in a mixed regime (telework and commuting) | 6 | 1.37 | 39 | 4.06 | 22 | 6.85 |
Body mass index (BMI) (χ = 16.39, = 0.012) | ||||||
Underweight | 48 | 10.96 | 94 | 9.79 | 26 | 8.10 |
Normal weight | 266 | 60.73 | 619 | 64.48 | 213 | 66.36 |
Overweight | 69 | 15.75 | 177 | 18.44 | 62 | 19.31 |
Obese | 55 | 12.56 | 70 | 7.29 | 20 | 6.23 |
A multiple linear regression analysis was used to investigate the association between the adherence to heathy diet (dependent variable) and the socio-demographic and anthropometric variables. In multiple logistic regression analysis, four variables were significant to predict for a higher junk food consumption ( Table 6 ). These were for age: χ 2 = 39.931, p < 0.01; for level of education: χ 2 = 27.084, p = 0.001 and for BMI: χ 2 = 15.566, p = 0.016.
Results of the multinomial logistic regression for the adherence to healthy diet.
Independent Variables | Unhealthy Diet | Medium Healthy Diet | ||||
---|---|---|---|---|---|---|
OR | 95% CI | OR | 95% CI | |||
Gender | ||||||
Male | 1 | 1 | ||||
Female | 0.705 | (0.496–1.002) | 0.051 | 0.910 | (0.662–1.250) | 0.559 |
Age (years) | ||||||
18–23 | 5.352 | (1.893–9.128) | 0.002 | 2.468 | (1.227–4.964) | 0.011 |
24–35 | 3.045 | (1.049–5.836) | 0.040 | 1.908 | (0.926–3.931) | 0.080 |
35–45 | 1.786 | (0.601–3.305) | 0.297 | 1.208 | (0.578–2.525) | 0.616 |
>45 | 1 | 1 | ||||
Residence area | ||||||
Urban area | 1 | 1 | ||||
Rural area | 1.111 | (0.775–1.592) | 0.567 | 0.665 | (0.93–1.675) | 0.665 |
Level of education | ||||||
General/primary studies | 1.535 | (0.791–2.980) | 0.206 | 1.141 | (0.617–2.113) | 0.674 |
Secondary education (baccalaureate degree) | 1.612 | (1.134–2.292) | 0.008 | 1.636 | (1.196–2.238) | 0.002 |
Post-secondary studies | 1.155 | (0.628–2.122) | 0.643 | 1.132 | (0.660–1.940) | 0.652 |
Higher education (bachelor’s degree) | 1 | 1 | ||||
Postgraduate studies (master’s degree, residency, doctorate, other specializations) | 0.652 | (0.423–1.005) | 0.053 | 1.082 | (0.762–1.538) | 0.659 |
Body mass index (BMI) | ||||||
Underweight category (<18.5) | 0.676 | (0.406–1.127) | 0.133 | 0.804 | (0.507–1.275) | 0.354 |
Normal limits (18.5–24.9) | 1 | 1 | ||||
Overweight category (25–29.9) | 0.603 | (0.335–1.085) | 0.091 | 0.790 | (0.469–1.1331) | 0.375 |
Obese (≥30) | 1.490 | (1.001–2.999) | 0.049 | 0.968 | (0.500–1.873) | 0.923 |
Dependent variable: healthy diet as the reference category.
Participants aged between 18 and 23 years have the highest tendency to adhere to an unhealthy diet (OR = 5.35, 95%(CI): 1.89–9.12, p = 0.002), or a moderately healthy diet (OR = 2.46, 95% (CI): 1.22–4.96, p = 0.011), compared to those aged over 45 years.
Participants with a secondary education (baccalaureate degree) have an increased tendency toward an unhealthy diet compared to participants with a higher education (OR = 1.612 95%(CI):1.13–2.29, p = 0.008). Additionally, obese participants have an increased risk of having an unhealthy diet (OR = 1.49 95%(CI): 1.001–2.99, p = 0.049) compared to normal weight respondents.
Regarding lifestyle habits, we studied physical activity, smoking, sleeping habits, and the frequency of junk food consumption ( Table 7 ).
Comparison of adherence to a healthy diet with lifestyle habits and frequency of junk food consumption with the test of equality for column proportions (z-test).
Lifestyle Habits | Adherence to Healthy Diet | |||||
---|---|---|---|---|---|---|
Unhealthy Diet (a) | Medium Healthy Diet (b) | Healthy Diet (c) | ||||
n | % | n | % | n | % | |
Total | 438 | 25.48 | 960 | 55.85 | 321 | 18.67 |
Exercise frequency (χ = 54.58, < 0.001) | ||||||
Not | 136 | 31.05 | 152 | 15.83 | 27 | 8.41 |
Yes, very rarely | 196 | 44.75 | 402 | 41.88 | 92 | 28.66 |
Yes, 2–3 times a week | 64 | 14.61 | 237 | 24.69 | 104 | 32.40 |
Yes, every day under an hour | 22 | 5.02 | 90 | 9.38 | 36 | 11.21 |
Yes, daily for at least an hour | 20 | 4.57 | 79 | 8.23 | 62 | 19.31 |
Smoking (χ = 71.29, < 0.001) | ||||||
Yes, excessive daily | 134 | 30.59 | 163 | 16.98 | 34 | 10.59 |
Yes, 1–2 cigarettes daily | 34 | 7.76 | 63 | 6.56 | 17 | 5.30 |
Yes, 2–3 times a week | 11 | 2.51 | 16 | 1.67 | 4 | 1.25 |
Yes, occasionally | 49 | 11.19 | 90 | 9.38 | 18 | 5.61 |
Not | 210 | 47.97 | 628 | 65.42 | 248 | 77.26 |
Sleep time, hours (χ = 54.64, < 0.001) | ||||||
I have frequent insomnia | 41 | 9.36 | 60 | 6.25 | 19 | 5.92 |
Under 7 h per night | 188 | 42.92 | 276 | 28.75 | 87 | 27.10 |
Over 9 h a night | 24 | 5.48 | 34 | 3.54 | 8 | 2.49 |
7–8 h per night | 185 | 42.24 | 590 | 61.46 | 207 | 64.49 |
Frequency of junk food consumption (χ = 49.29, < 0.001) | ||||||
Very rarely or not at all | 38 | 8.68 | 231 | 24.06 | 160 | 40.84 |
2–3 times a month | 76 | 17.35 | 255 | 26.56 | 83 | 25.86 |
2–3 times week | 170 | 38.81 | 217 | 22.60 | 32 | 9.97 |
Once a week | 94 | 21.46 | 226 | 23.54 | 44 | 13.71 |
Daily | 60 | 13.70 | 31 | 3.23 | 2 | 0.62 |
The z-test indicated that a greater proportion of participants with an unhealthy diet do not exercise (31.5%), smoke excessively (30.59%), sleep less than 7 h per night (42.92%), and frequently consume junk food products (38.81%) than those who have a predominantly healthy diet ( Table 7 and Table 8 ).
Results of the multinomial logistic regression for adherence to healthy diet.
Independent Variables | Unhealthy Diet | Medium Healthy Diet | ||||
---|---|---|---|---|---|---|
OR | 95% CI | OR | 95% CI | |||
Exercise frequency | ||||||
Not | 1 | 1 | ||||
Yes, very rarely | 0.423 | (0.261–0.685) | <0.001 | 0.776 | (0.486–1.239) | 0.776 |
Yes, 2–3 times a week | 0.122 | (0.073–0.205) | <0.001 | 0.405 | (0.253–0.648) | <0.001 |
Yes, every day under an hour | 0.121 | (0.062–0.238) | <0.001 | 0.444 | (0.253–0.780) | 0.005 |
Yes, daily for at least an hour | 0.064 | (0.033–0.123) | <0.001 | 0.226 | (0.134–0.384) | <0.001 |
Smoking | ||||||
Yes, excessive daily | 4.654 | (3.062–7.076) | <0.001 | 1.893 | (1.272–2.818) | 0.002 |
Yes, 1–2 cigarettes daily | 3.215 | (1.817–5.688) | <0.001 | 1.463 | (0.840–2.550) | 0.179 |
Yes, 2–3 times a week | 3.248 | (1.019–6.350) | <0.001 | 1.975 | (1.166–3.344) | 0.011 |
Yes, occasionally | 2.362 | (1.283–4.349) | 0.006 | 1.580 | (0.523–4.771) | 0.418 |
Not | Reference | |||||
Sleep time, hours | ||||||
I have frequent insomnia | 0.999 | (0.548–1.820) | 0.996 | 0.995 | (0.563–1.759) | 0.995 |
Under 7 h per night | 1 | |||||
Over 9 h a night | 1.388 | (0.600–3.214) | 0.444 | 1.340 | 0.598–3.002 | 0.478 |
7–8 h per night | 0.414 | (0.300–0.571) | <0.001 | 0.898 | (0.673–1.199) | 0.467 |
Frequency of junk food consumption | ||||||
Very rarely or not at all | 1 | 1 | ||||
2–3 times a month | 3.855 | (2.407–6.175) | <0.001 | 2.128 | (1.546–2.929) | <0.001 |
2–3 times week | 5.368 | (3.333–7.528) | <0.001 | 4.697 | (3.079–7.165) | <0.001 |
Once a week | 4.995 | (2.438–7.879) | <0.001 | 3.558 | (2.431–5.206) | <0.001 |
Daily | 8.316 | (3.555–13.865) | <0.001 | 7.736 | (2.533–12.497) | 0.002 |
Multivariate logistic regression with healthy diet as the reference category was performed ( Table 8 ).
Respondents who consume junk food products daily have an increased risk of adhering to an unhealthy (OR = 8.31, 95% (CI): 3.55–13.86, p < 0.001) or moderately healthy (OR = 7.73, 95% (CI)) diet: 2.53–12.49, p = 0.002) compared to those who declared that they did not consume junk food products.
Those who declare that they smoke excessively daily have a 4.65 (95% (CI): 3.06–7.07, p < 0.001)-times-higher risk of adhering to an unhealthy diet, and a 1.89 (95% (CI): 1.27–2.81, p = 0.002) times higher to adhere to a moderately healthy diet, compared to non-smokers.
Respondents who exercise daily for at least one hour have a lower risk of adhering to an unhealthy diet (OR = 0.06, 95% (CI): 0.3–0.12, p < 0.001) or a moderately healthy diet (OR = 0.22, 95% (CI): 0.3–0.38, p < 0.001) compared to those who do not do sports. Moreover, even those who do sports very rarely have a lower risk of adhering to an unhealthy diet (OR = 0.42, 95% (I CI): 0.26–0.68, <0.001).
Study participants who declared that they have insomnia have a higher risk of adhering to an unhealthy diet, compared to those who sleep 7–8 h per night (OR = 2.41, 95% (CI): 1.35–4.3, p = 0.003).
The main foods that predominate in the daily diet according to the answers recorded are meat (30.5%) and vegetables and fruits (28.3%). The least consumed are fish and seafood dishes (1%). A significantly higher percentage of respondents who have a healthy diet predominantly consume vegetables and fruits (54.8%) ( Figure 6 ).
Food category predominates in the daily diet by the adherence to a healthy diet (χ 2 = 57.78, p < 0.001).
The most consumed liquid is still mineral water (46.9%), followed by drinking water (24.1%). Only 0.9% of respondents consume alcoholic beverages often. About 74% of respondents with a healthy diet consume mostly plain water ( Figure 7 ).
Drink category predominates in the daily diet by the adherence to a healthy diet (χ 2 = 42.02, p < 0.001).
A significant statistical association was found between the frequency of fast food product consumption and anthropometric data (age and BMI). More than 60% of the respondents in the age category 18–23 have a regular consumption of junk food products from daily to at least once a week ( Figure 8 a), and those between 24 and 35 years, about 30%. The highest percentage of people who consume these products very rarely or not at all is among respondents over 45 years of age.
Frequency of junk food product consumption by ( a ) age (χ 2 = 74.28, p < 0.001), and ( b ) BMI (χ 2 = 33.67, p = 0.001).
Obese and overweight people who consume junk food products regularly (daily or at least once a week) amount to a percentage between 22.43% and 31% ( Figure 8 b).
According to the centralized data from the respondents, the main reasons underlying the choice of consuming fast food or ready-to-eat products are ( Figure 9 ) a lack of time (50.4% of respondents), the pleasure of consuming such products (38.9%), satisfying the need for sweets (35.4%), and convenience (32.3%).
The main reasons underlying the consumption of junk food products.
Most of the respondents declared that they eat 1–2 meals a day without a fixed schedule ( Figure 10 ), with the highest percentage being recorded among obese (57.93%) and underweight (52.98%) people.
Distribution of meals per day by BMI (χ 2 = 37.2, p < 0.001).
The majority of underweight respondents ( Figure 11 ) believe that they eat chaotically and insufficiently (51.9%), and the majority of obese respondents believe that they eat chaotically, without measure (59.31%).
The amount of food consumed by BMI (χ 2 = 89.1, p < 0.001).
Regarding the way of serving meals, 44.14% of obese respondents and 37.66% of overweight respondents declared that they eat in a hurry, while 32.41% of obese people and 27.92% of overweight people do something else during the meal ( Figure 12 ).
Habits during meals by BMI (χ 2 = 51.45, p < 0.001).
According to the answers received from the respondents, the junk food products ( Figure 13 ) that are most indicated to cause a consumption addiction, apart from coffee, (34.8%) are fried potatoes, pastries, sweets, and sweetened drinks.
Evidence of consumption addictions for different junk food products.
Most of the respondents declared that they take part in sports very rarely or not at all; the greatest tendency toward sedentariness is shown by obese and overweight people ( Figure 14 a). Regarding the duration of sleep, the highest percentage of respondents who rest insufficiently is found among obese people ( Figure 14 b).
( a ) Physical activity by BMI (χ 2 = 34.85, p < 0.001); ( b ) sleep duration by BMI (χ 2 = 26.49, p = 0.002).
The most frequent problems ( Figure 15 ) that alter the respondents’ quality of life, according to the centralized data, are fatigue (62.4% of the respondents), frequent nervousness (37.5%), agitation (32.9%), overeating emotional (29.30%), and depressive (27.6%) and anxiety states (21.9%).
The problems that alter the quality of life.
Following the dissemination of the questionnaire, 1719 valid answers were collected; most of the respondents were between 18 and 23 years old (48.1%), and 29.1% of the respondents were between 24 and 35 years old ( Table 1 ). It is also noted that the majority of study participants are female (81.4%), have secondary education (41.4%), come from an urban environment (80.9%), and are pupils or students (62%). Regarding the anthropometric characteristics, 63.8% of the respondents are a normal weight, 18% overweight, 8.4% obese, and 9.8% underweight.
During the study, an identification of the most-consumed food products of the junk-food type was conducted ( Figure 4 ), and it was found that the top preferences are fried potatoes (46.2%), pastry products (41.4%), chewing gum (33.9%), and sweetened carbonated drinks (32.9%), along with coffee (62.8%). Regarding the frequency of consumption of junk food products ( Figure 4 , Table 2 ), approximately 51% of the respondents declared that they consume them daily or weekly, with the majority being from the category of the very young (18–23 years old). There are numerous studies in the specialized literature that draw attention to the increased consumption of junk food products, especially among teenagers and young people, but also to the negative consequences on the body in the long term: the increase in the rate of obesity, and the incidence of inflammatory bowel diseases, allergies and food intolerances, and type 2 diabetes. The most incriminated are sweet products, sweetened drinks, pastry products, and snacks [ 43 , 44 , 45 ].
Although 93.9% of respondents declared that they do not consider fast food or packaged ready-to-eat food products as healthy products, the main reasons for consuming them are a lack of time, convenience, and food addiction ( Figure 9 ). In recent times, the alarm bells raised by specialists have intensified regarding the danger of food addiction, especially that caused by ultra-processed foods, on the health of consumers, with serious consequences, especially due to the adoption of a lifestyle with reduced physical activity. These food addictions have generated an explosion in the obesity rate and the increase in the incidence of metabolic diseases, especially from an early age [ 46 , 47 ]. Junk food products are rich in additives, some of which (such as food sweeteners, flavorings, monosodium glutamate, etc.) play an important role in the development of food addictions [ 48 , 49 , 50 ].
The analysis of junk food consumption was made in correlation with adherence to a healthy diet (which implies an optimal consumption of vegetables and fruits, whole grains, nutritious foods such as fish, seafood, dairy products, and eggs, and predominantly unsaturated fats, as well as the optimal hydration of the body), but also with adherence to a healthy lifestyle (which implies adequate rest, an active life in terms of physical activities, and avoiding the consumption of alcohol and tobacco, and other unhealthy habits). Based on the quantification of the answers that followed the evaluation of the two components, it was found that 18.67% of the respondents ( Table 5 and Table 6 ) have an increased adherence to healthy eating (more women, the elderly compared to the young, and those of a normal weight, in particular), while 25.48% have an increased adherence to an unhealthy diet (especially people aged up to 24). People with low adherence to a healthy lifestyle ( Table 7 and Table 8 ) also show an increased adherence to an unhealthy lifestyle (reduced physical activity, inadequate rest, and increased consumption of alcohol or cigarettes).
From the analysis of the centralized data, it was found that 62.9% of the respondents declared that they consume one portion of vegetables (100 g) per day or rarely, and 64.5% declared that they consume only one portion of fruit per day or rarely, which is quite worrying. Vegetables and fruits offer an important supply of antioxidants, vitamins, minerals, and fiber, which is particularly important for the health of consumers. Additionally, a very low consumption of fish and seafood was noted among the respondents; 33.3% declared that they consumed it very rarely, and 38.7% only 2–3 times a month. With regard to the degree of hydration of the body, there is an insufficient intake of water; 12.3% consume less than one liter of water per day, and 33.7% approximately one liter. On the other hand, 43.9% of the respondents consume sweetened drinks daily or weekly.
The trend of a reduced consumption of vegetables and fruits among young people is signaled by numerous scientific studies [ 51 , 52 , 53 ] that also highlight the negative consequences on their health (an increase in the incidence of cardiovascular diseases, diabetes, obesity; at the same time, there is a worldwide concern in numerous states toward stimulating the consumption of vegetables and fruits among young people, precisely to ensure an optimal intake of valuable nutrients [ 54 , 55 , 56 ].
There is also an increased trend toward sedentarism; 58.4% of the respondents declared that they do sports very rarely or not at all. Regarding cigarette consumption, 27.7% of respondents smoke heavily, and regarding rest, 39.1% of respondents do not rest enough.
Regarding the state of the immune system, 22.2% of the respondents declared that they have a weakened or unbalanced immune system, and 23% of the study participants frequently use various methods to strengthen their immune system. Regarding the need for the services of a nutritionist, 29.1% of the respondents stated that they need a specialist to help them choose healthy foods, while 19.7% of the respondents need the help of a nutritionist to eat balanced meals. Another worrisome aspect to point out: it was found that 43.4% of the respondents do not usually evaluate their health status, or do it very rarely.
Unfortunately, the consumption of junk food products is usually accompanied by the consumption of sweetened beverages, and even smoking or alcoholic beverages (which adds a series of dangerous compounds to the body, and a significant increase in calories), and less vegetable products which would have ensured an intake of important fibers and antioxidants for the detoxification of the body [ 57 , 58 , 59 ]. As a result, in the long term, unhealthy and unbalanced food associations are also the basis of micronutrient malnutrition, strongly altering the state of health [ 60 ].
There are a number of limitations to the study, related to the low participation of the population over 35 years old, probably because they were not very receptive to being included in the study, and because they considered that they are not very used to consuming junk food products, as well as a lower participation among the male population. The most important aspect of the study, however, is the increased participation of young people in particular. The collected data offer the possibility of evaluating some important aspects related to the eating habits and lifestyle of the young population, the active population, both physically and in terms of demographic development potential. Thus, it is found that among the young population there is a low consumption of foods with high nutritional value (vegetables, fruits, fish, seafood), an inadequate hydration of the body, a tendency toward a sedentary life, and an increased consumption of ultra-processed foods. In the long term, there is a risk of major imbalances. The signals are already there; although most of the respondents are young people, they face serious problems that alter their quality of life in a fairly large percentage: fatigue, frequent nervousness, depression, anxiety, and even problems with the immune system. In this sense, there is a need to intensify social–educational programs, to stimulate physical activity from an early age, as well as to stimulate the consumption of vegetables, fruits, fish, seafood, and proper hydration of the body.
The consumption of junk food becomes dangerous for health when it is accompanied by a sedentary lifestyle, and is especially associated with other hypercaloric foods, such as sweetened or alcoholic beverages. Physical activity helps to offset excess calories, and the regular consumption of vegetable and fruit products counterbalances the absence or deficiency of important nutrients for the body, such as fibers, antioxidants, vitamins, minerals, and unsaturated fats.
This research received no external funding.
Conceptualization, M.M., C.-N.O., S.M.N. and A.M.M.; methodology, F.H., G.S., C.-B.I.-M. and C.E.L.; software, F.H. and C.E.L.; validation, M.M., C.-N.O., S.M.N. and A.M.M.; formal analysis, G.O., N.M., I.S. and C.E.L.; investigation, A.-T.C., G.S., C.-B.I.-M. and I.B.; resources, I.B., N.M. and I.S.; data curation, T.C.G., T.I.S. and I.R.; writing—original draft preparation, T.C.G., T.I.S. and I.R.; writing—review and editing, T.C.G., T.I.S. and I.R.; visualization, T.C.G., T.I.S. and I.R.; supervision, M.M., C.-N.O., S.M.N. and A.M.M.; project administration, M.M., C.-N.O., S.M.N. and A.M.M.; funding acquisition, G.O. and A.-T.C. All authors have read and agreed to the published version of the manuscript.
Not applicable.
Data availability statement, conflicts of interest.
The authors declare no conflict of interest.
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Impact of Junk Food. Junk food is the easiest way to gain unhealthy weight. The amount of fats and sugar in the food makes you gain weight rapidly. However, this is not a healthy weight. It is more of fats and cholesterol which will have a harmful impact on your health. Junk food is also one of the main reasons for the increase in obesity nowadays.
By eating junk food, fat accumulates in the body, and we become lazy. It gives rise to various health problems like obesity, diabetes, heart disease, blood pressure, etc. Mental disorders, loss of balance and lack of concentration can also occur due to excessive eating of junk food. Consumption of junk in early childhood can result in behaviour ...
2. Impact on Mental Well-being. The effects of junk food extend beyond physical health to mental well-being. Research indicates a link between unhealthy diets and poor mental health outcomes such as depression, anxiety, and reduced cognitive function. Consumption of highly processed foods and sugary snacks can lead to rapid spikes and crashes ...
The Impacts of Junk Food on Health
Impact on Mental Health. The influence of junk food extends beyond physical health. Studies suggest a correlation between junk food consumption and mental health issues, including depression and anxiety. The high sugar content can cause fluctuations in mood and energy levels, while the lack of essential nutrients can impact brain function.
People who take junk food risk getting heart diseases. Junk food has high content of fat and cholesterol that leads to clogging of the heart arteries. Once the arteries are blocked a person can suffer from heart attacks that could lead to death or cause strokes. Therefore, overindulgence fast foods such as chips may pose death risks and ...
Junk foods like burgers, fries, and pizza are very high in cholesterol, sodium, and carbohydrates, all of which can be harmful to our health if consumed frequently. Harmful Effects Of Junk Food Essay. These foods have been linked to numerous chronic diseases, including high blood pressure, obesity, liver and heart problems, and many others.
500 Words Essay on Effects of Junk Food Introduction. Junk food, a term popularized in the 20th century, refers to food items that are high in calories, sugar, salt, and fat, but low in nutritional value. Despite the well-documented health risks, the consumption of junk food has been on the rise, especially among young adults.
Various inquiries reveal that junk food consumption is linked to the development of depression. Notably, poor dietary practices such as the intake of commercially baked foods, sweetened beverages, and sweets raise consumer's risk of encountering depression by 51% (Zahedi et al., 2014).
A study found that children who consumed fast foods three times a week were more likely to develop asthma. Junk food can also lead to tooth decay and other oral health problems. Long term effects of junk food are obesity, weight gain, heart diseases, diabetes etc.
Essay on Junk Food: Samples in 150, 250 Words
type of sugar commonly found in junk foods, leads to a quick drop in. blood sugar levels because it is digested quickly by the body. This can. lead tiredness and cravings [5]. Fiber is a good ...
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Junk food's allure lies in its taste and convenience. The combination of fats, sugars, and salt in these foods can trigger a pleasurable response in the brain, similar to what occurs with addictive substances. This pleasure reinforces the desire to consume these foods repeatedly. Additionally, the fast-paced nature of modern life has led to ...
Skin problems. 1. Cardiovascular problems. One of the major detrimental side effects of junk food consumption is increased cardiovascular disease risk. A large Harvard study showed that eating high amounts of red meat and sugary treats may trigger inflammation, increasing the risk of heart disease and stroke.
Junk Food Essay 300 words. The word junk food speaks itself a lot and indicates its harmful nature to the health. Junk foods are trash food to the health because they are high in calorie, fat, cholesterol, sugar and salt components. Nowadays kids and teenagers are more prone to eat junk foods daily in bulk amount.
The Impact of Junk Food on Health; Junk food has long been associated with negative health effects, including obesity, diabetes, and heart disease. This essay will explore the various ways in which junk food can negatively impact our health, and discuss potential solutions for reducing its consumption. 2. The Role of Advertising in Promoting ...
500 Words Essay On Junk Food. Junk food, also known as fast food, is a type of food that is high in calories, sugar, and unhealthy fats. It is often high in salt and preservatives and is considered to be unhealthy. Junk food is typically high in calories and low in nutrients, and it can have a negative impact on our health.
It also affects brain function, causing slower reaction times and memory loss. Many people are trying to be more aware of junk food, so they choose healthy alternatives like fruits and vegetables instead of unhealthy treats. Besides the health issues, junk food can also be addicting. It contains high sugar levels, which can cause diabetes, and ...
Conclusion. In conclusion, the choice between healthy food and junk food has significant impacts on individual health and society as a whole. While junk food may offer convenience and taste, its long-term health implications cannot be ignored. On the other hand, healthy food, despite its perceived cost and accessibility barriers, provides ...
Junk food harms our health. Junk food is convenient but not good for us. It is tasty but unhealthy. People love to gorge on junk food. It is poor in nutrition. It is very poor in dietary fibre. A lot of junk food has high sugar. It has high salt content. It has many calories. It can make us obese. A Paragraph On 'Harmful Effects Of Junk Food ...
12 Harmful Effects of Junk Food. Eating junk food daily lead us to the nutritional deficiencies in the body because it is lack of essential nutrients, vitamins, iron, minerals and dietary fibres. It increases risk of cardiovascular diseases because it is rich in saturated fat, sodium and bad cholesterol. It causes a spike in body energy level ...
1. Introduction. The World Health Organization (WHO) draws attention to the danger of the excessive consumption of unhealthy foods and drinks, which represents an important risk factor for non-communicable diseases (NCDs) [].Junk food and sweetened and alcoholic drinks are included in the category of foods with a major risk for metabolic syndrome, which is complicated with serious consequences ...