Journal List > J Korean Acad Community Health Nurs > v.27(2) > 1058410

Hyun: Gender Differences in the Association between Eating Behavior and Depression of Adolescents: Evidence from a National Korean Cross-sectional Survey

Abstract

Purpose

The purpose of this study was to determine the relationship between unhealthy eating behavior and depression in adolescents, with confounding variables adjusted.

Methods

This study is a secondary analysis of the data collected from the 2013 Korean Youth Risk Behavior Web-based Survey (KYRBWS). The analysis included 72,435 participants (36,655 male and 35,780 female). The data were analyzed by x2 test, t-test, and logistic regression analysis using SPSS Version 21 by complex samples analysis.

Results

Compared with male adolescents with healthy eating behavior, those who with unhealthy eating behavior were more likely to suffer depression with other factors controlled (OR=1.37, 1.07~1.75). On the other hand, female adolescents with unhealthy eating behavior were less likely to feel depressed compared with female adolescents with unhealthy eating behavior and with other factors controlled (OR=0.98, 0.64~1.50). However, it was not statistically significant.

Conclusion

Our findings suggest that healthy eating behavior may be a protective factor against depression in male adolescents, but not in female adolescents. Furthermore, our results suggest that the longitudinal associations between mental health and healthy eating behavior and other lifestyle factors are complex.

References

1. Cairns KE, Yap MB, Pilkington PD, Jorm AF. Risk and protective factors for depression that adolescents can modify: A systematic review and meta-analysis of longitudinal studies. Journal of Affective Disorders. 2014; 169:61–75. http://dx.doi.org/10.1016/j.jad.2014.08.006.
crossref
2. Kahn JP, Tubiana A, Cohen RF, Carli V, Wasserman C, Hoven C. . Important variables when screening for students at suicidal risk: Findings from the French cohort of the SEYLE study. International Journal of Environmental Research and Public Health. 2015; 12(10):12277–12290. http://dx.doi.org/10.3390/ijerph121012277.
crossref
3. Park HS. The influence of ego-identity and depression on suicidal ideation for Korean adolescents. Journal of Korean Academy of Psychiatric and Mental Health Nursing. 2007; 16(2):103–112.
4. Park HY, Heo JH, Subramanian SV, Kawachi I, Oh JW. Socioeconomic inequalities in adolescent depression in South Korea: A multilevel analysis. PLoS ONE. 2012; 7(10):1932–6203.
crossref
5. Liu X, Yan Y, Li F, Zhang D. Fruit and vegetable consumption and the risk of depression; A meta-analysis. Nutrition. 2016; 32(3):296–302. http://dx.doi.org/10.1016/j.nut.2015.09.009.
crossref
6. Tanihata T, Kanda H, Osaki Y, Ohida T, Minowa M, Wada K. . Unhealthy lifestyle, poor mental health, and its correlation among adolescents: A nationwide cross-sectional survey. Asia-Pacific Journal of Public Health. 2015; 27(2):P1557–NP1565. http://dx.doi.org/10.1177/1010539512452753.
7. Lee KJ. Current smoking and secondhand smoke exposure and depression among Korean adolescents: Analysis of a national cross-sectional survey. BMJ Open. 2014; 4(2):1–8.
crossref
8. Murnaghan DA, Blanchard CM, Rodgers WM, LaRosa JN, MacQuarrie CR, MacLellan DL. . Predictors of physical activity, healthy eating and being smoke-free in teens: A theory of planned behaviour approach. Psychology & Health. 2010; 25(8):925–941. http://dx.doi.org/10.1080/08870440902866894.
crossref
9. Kaneita Y, Ohida T, Osaki Y, Tanihata T, Minowa M, Suzuki K. . Association between mental health status and sleep status among adolescents in Japan: A nationwide cross-sectional survey. The Journal of clinical psychiatry. 2007; 68(9):1426–1435.
10. Lee HS. Effects of body mass index, family function and self-efficacy on depression of adolescents. Korean Journal of Stress Research. 2014; 22(4):191–200.
11. Lee HS. Effects of depression and impulsive behavior on smoking of adolescents. Korean Journal of Stress Research. 2014; 22:67–76.
crossref
12. Fulkerson JA, Sherwood NE, Perry CL, Neumark-Sztainer D, Story M. Depressive symptoms and adolescent eating and health behaviors: A multifaceted view in a population-based sample. Preventive medicine. 2004; 38(6):865–875.
crossref
13. Shochat T, Cohen-Zion M, Tzischinsky O. Functional consequences of inadequate sleep in adolescents: A systematic review. Sleep Medicine Reviews. 2014; 18(1):75–87. http://dx.doi.org/10.1016/j.smrv.2013.03.005.
14. Park SB, Cho MJ, Chang SM, Bae JN, Jeon HJ, Cho SJ. . Relationships of sleep duration with sociodemographic and health-related factors, psychiatric disorders and sleep disturbances in a community sample of Korean adults. Journal of Sleep Research. 2010; 19(4):567–577.
crossref
15. Kim JJ, Choi GP. Analysis of the structural relationship among stress, parent-adolescent communication, depression and suicidal behavior of adolescent. The Korean Journal of Youth Counseling. 2012; 20(2):251–270.
16. Lien L. Is breakfast consumption related to mental distress and academic performance in adolescents? Public Health Nutrition. 2007; 10(4):422–428.
crossref
17. Busch V, De Leeuw JRJ. Unhealthy behaviors in adolescents: Multibehavioral associations with psychosocial problems. International Journal of Behavioral Medicine. 2014; 21(3):439–446. http://dx.doi.org/10.1007/s12529-013-9316-z.
crossref
18. Kingsbury M, Dupuis G, Jacka F, Roy-Gagnon MH, McMartin SE, Colman I. Associations between fruit and vegetable consumption and depressive symptoms: Evidence from a national Canadian longitudinal survey. Journal of Epidemiology and Community Health. 2016; 70(2):155–161. http://dx.doi.org/10.1136/jech-2015-205858.
crossref
19. Sanchez-Villegas A, Martinez-Gonzalez MA. Diet, a new target to prevent depression? Bio Medical Central Medicine. 2013; 11(3):1–4. http://dx.doi.org/10.1186/1741-7015-11-3.
crossref
20. Park NH, Kim MO. The relationship between depression and health behavior in adolescents. Journal of Korean Academy of Child Health Nursing. 2005; 11(4):436–443.
21. McGuinness TM, Dyer JG, Wade EH. Gender differences in adolescent depression. Journal of Psychosocial Nursing and Mental Health Services. 2012; 50(12):17–20.
22. Lee JS, Lee HS. Relationships of individual and family variables with adolescents' depression. Korean Home Economics Education Association. 2012; 24(4):77–89.
23. Korea Centers for Disease Control and Prevention. Guidelines for using the Korea Youth Risk Behavior Web-based Survey datasets. Cheongwon: Korea Centers for Disease Control and Prevention;2013. p. 126 p.
24. Lim HJ, Wang Y. Body weight misperception patterns and their association with health-related factors among adolescents in South Korea. Obesity (Silver Spring, Md). 2013; 21(12):2596–2603.
crossref
25. Choi YH, Seong JH, Lee SH, Chun YM. The causal factors of adolescents' subjective attitude towards body image; Focusing on the study of weight control behavior and mental health status according to the 2011 Korea national health and nutrition examination survey data. The Journal of Korean Society for School & Community Health Education. 2014; 15(3):43–54.
26. Park HI, Kwon SY, Jung CH. The relationship among body weight, self-esteem, depression and anxiety in community adolescents. Journal of Korean Society of Biological Therapies in Psychiatry. 2010; 16(1):23–32.
27. Sjoberg RL, Nilsson KW, Leppert J. Obesity, shame, and depression in school-aged children: A population-based study. Pediatrics. 2005; 116(3):e389–392.
28. Harrison ME, Norris ML, Obeid N, Fu M, Weinstangel H, Sampson M. Systematic review of the effects of family meal frequency on psychosocial outcomes in youth. Canadian Family Physician. 2015; 6(21):e96–106.
29. Fuglestad PT, Bruening M, Graham DJ, Eisenberg ME, Neu-mark-Sztainer D. The associations of eating-related attitudinal balance with psychological well-being and eating behaviors. Journal of Social and Clinical Psychology. 2013; 32(10):1040–1060.
crossref

Table 1.
Comparison of Characteristics between Boys and Girls (% [SE] or M±SE)
Characteristics Categories All subjects Girls Boys x2 or t p
Depression No 69.1(0.24) 62.9(0.31) 74.8(0.30) 1,201.07 <.001
Yes 30.9(0.24) 37.1(0.31) 25.2(0.30)
Living withfamily No 3.9(0.17) 3.5(0.23) 4.3(0.24) 26.29 .028
Yes 96.1(0.17) 96.5(0.23) 95.7(0.24)
Economic level Very rich 7.5(0.16) 5.1(0.18) 9.7(0.24) 695.36 <.001
Rich 24.9(0.24) 23.7(0.36) 25.9(0.32)
Medium 47.4(0.23) 50.4(0.33) 44.7(0.32)
Poor 15.8(0.21) 16.5(0.31) 15.1(0.29)
Very poor 4.5(0.10) 4.2(0.14) 4.7(0.14)
School performance Very high 10.9(0.14) 9.4(0.18) 12.3(0.21) 223.49 <.001
High 23.7(0.18) 24.4(0.26) 23.1(0.26)
Medium 28.1(0.18) 28.8(0.27) 27.4(0.23)
Low 24.9(0.19) 25.8(0.25) 24.1(0.27)
Very low 12.4(0.15) 11.6(0.20) 13.1(0.22)
Smoke Non-smoke 54.4(0.61) 62.7(1.01) 51.3(0.73) 163.60 <.001
Smoke 45.6(0.61) 37.3(1.01) 48.7(0.73)
Drink No 42.2(0.59) 50.1(0.86) 37.4(0.76) 184.49 <.001
Yes 57.8(0.59) 49.9(0.86) 62.6(0.76)
Moderate physical activities (day) Never 34.9(0.29) 43.1(0.38) 27.3(0.31) 3,873.11 <.001
1 17.5(0.17) 19.7(0.24) 15.4(0.24)
2 15.6(0.18) 15.0(0.23) 16.1(0.26)
3 12.9(0.15) 10.8(0.19) 14.8(0.21)
4 6.7(0.12) 4.6(0.13) 8.6(0.16)
≥5 12.6(0.18) 6.9(0.16) 17.8(0.26)
Vigorous Never 23.8(0.31) 34.2(0.44) 14.2(0.26) 6,663.08 <.001
physical 1 20.8(0.20) 23.9(0.29) 18.0(0.25)
activities 2 19.5(0.20) 18.4(0.26) 20.5(0.30)
(day) 3 15.3(0.17) 12.1(0.24) 18.2(0.22)
4 7.0(0.12) 4.6(0.14) 9.3(0.16)
≥5 13.6(0.20) 6.7(0.16) 19.8(0.310)
Sleep <4 1.8(0.07) 1.9(0.10) 1.6(0.09) 1,138.88 <.001
duration 4 8.0(0.20) 9.2(0.29) 6.9(0.28)
(hour/day) 5 19.3(0.32) 20.8(0.44) 17.8(0.47)
6 26.2(0.23) 26.8(0.31) 25.6(0.35)
7 25.4(0.31) 24.3(0.41) 26.5(0.47)
≥8 19.3(0.36) 17.0(0.47) 21.5(0.54)
BMI Underweight 5.6(0.13) 6.9(0.20) 4.5(0.16) 6,280.57 <.001
(percentile) Normal 80.0(0.26) 89.5(0.20) 71.3(0.31)
Overweight 9.1(0.18) 3.3(0.10) 14.4(0.25)
Obese 5.3(0.15) 0.3(0.03) 9.8(0.22)
Perceived Underweight 27.6(0.20) 19.7(0.22) 34.7(0.24) 2,123.36 <.001
weight status Normal 33.7(0.19) 35.9(0.28) 31.8(0.25)
Overweight 38.7(0.20) 44.4(0.28) 33.5(0.25)
Healthy eating No 81.9(0.22) 81.7(0.32) 82.0(0.29) 1.31 .409
behavior Yes 18.1(0.22) 18.3(0.32) 18.0(0.29)    

BMI=body mass index; SE=standard error; Values are presented as weighted % (SE) or Mean±SE unless otherwise indicated.

Table 2.
Characteristics of the Study Sample according to Depression by Gender (% [SE] or Mean±SE)
Characteristics Categories Boys
Girls
Normal Depression x2 or t p Normal Depression x2 or t p
Depression 14.9±0.04 15.2±0.04 −1.03 .303 14.88±0.04 15.05±0.04 −1.68 .093
Living withfamily No 67.8 (1.31) 32.3 (1.31) 43.58 <.001 56.3 (1.60) 43.7 (1.60) 24.89 <.001
Yes 75.1 (0.30) 24.9 (0.30) 63.2 (0.32) 36.9 (0.32)
Economic level Very rich 75.7 (0.71) 24.3 (0.71) 374.11 <.001 64.3 (1.17) 35.7 (1.17) 483.62 <.001
Rich 77.4 (0.50) 22.6 (0.50) 66.5 (0.56) 33.5 (0.56)
Medium 76.7 (0.39) 23.3 (0.39) 65.2 (0.42) 34.9 (0.42)
Poor 68.7 (0.73) 31.3 (0.73) 55.6 (0.65) 44.4 (0.65)
Very poor 60.1 (1.16) 39.9 (1.16) 42.9 (1.27) 57.2 (1.27)
School performance Very high 79.6 (0.63) 20.4 (0.63) 231.88 <.001 70.4 (0.79) 29.6 (0.79) 586.80 <.001
High 77.3 (0.51) 22.7 (0.51) 67.9 (0.52) 32.1 (0.52)
Medium 76.0 (0.46) 24.0 (0.46) 65.5 (0.52) 34.6 (0.52)
Low 72.2 (0.55) 27.8 (0.55) 58.6 (0.56) 41.4 (0.56)
Very low 68.3 (0.69) 31.7 (0.69) 49.7 (0.81) 50.3 (0.81)
Smoke Non-smoke 69.9 (0.65) 30.1 (0.65) 98.35 <.001 49.3 (1.01) 50.7 (1.01) 100.71 <.001
Smoke 60.9 (0.69) 39.1 (0.69) 34.1 (1.10) 65.9 (1.10)
Drink No 69.8 (0.92) 30.2 (0.92) 63.20 <.001 49.6 (1.07) 50.4 (1.07) 32.14 <.001
Yes 60.4 (0.76) 39.6 (0.76) 41.5 (1.01) 58.5 (1.01)
Moderate physical activities (day) Never 78.9 (0.44) 21.0 (0.44) 136.45 <.001 65.8 (0.43) 34.3 (0.43) 105.22 <.001
1 73.6 (0.65) 26.4 (0.65) 61.7 (0.61) 38.3 (0.61)
2 73.7 (0.67) 26.3 (0.67) 61.1 (0.76) 38.9 (0.76)
3 73.8 (0.63) 26.2 (0.63) 60.7 (0.88) 39.3 (0.88)
4 73.9 (0.75) 26.1 (0.75) 58.2 (1.18) 41.8 (1.18)
≥5 71.8 (0.59) 28.3 (0.59) 59.0 (0.95) 41.0 (0.95)
Vigorous physical activities (day) Never 77.5 (0.59) 22.5 (0.59) 48.63 <.001 64.0 (0.45) 36.0 (0.45) 25.60 <.001
1 76.2 (0.52) 23.8 (0.52) 63.7 (0.57) 36.4 (0.57)
2 75.1 (0.57) 24.9 (0.57) 62.3 (0.62) 37.7 (0.62)
3 74.0 (0.61) 26.1 (0.61) 62.0 (0.82) 38.0 (0.82)
4 73.0 (0.83) 27.0 (0.83) 61.2 (1.24) 38.8 (1.24)
≥5 72.9 (0.53) 27.1 (0.53) 59.4 (1.00) 40.6 (1.00)
Sleep duration (hour/day) <4 56.8 (2.47) 43.2 (2.47) 373.92 <.001 43.7 (1.79) 56.3 (1.79) 381.76 <.001
4 66.4 (1.11) 33.6 (1.11) 54.8 (0.94) 45.2 (0.94)
5 70.8 (0.74) 29.2 (0.74) 59.6 (0.67) 40.4 (0.67)
6 75.1 (0.55) 24.9 (0.55) 63.6 (0.56) 36.4 (0.56)
7 78.3 (0.49) 21.7 (0.49) 66.7 (0.61) 33.3 (0.61)
≥8 81.2 (0.56) 19.0 (0.56) 71.4 (0.72) 28.6 (0.72)
BMI (percentile) Underweight 80.7 (1.05) 19.3 (1.05) 40.40 <.001 65.0 (1.03) 35.0 (1.03) 7.71 .054
Normal 75.3 (0.34) 24.7 (0.34) 63.1 (0.32) 36.9 (0.32)
Overweight 73.4 (0.62) 26.6 (0.62) 61.4 (1.47) 38.6 (1.47)
Obese 73.5 (0.76) 26.5 (0.76) 55.7 (4.53) 44.3 (4.53)
Perceived weight status Underweight 73.8 (0.44) 26.2 (0.44) 17.87 <.001 62.8 (0.62) 37.2 (0.62) 72.12 <.001
Normal 76.2 (0.43) 23.9 (0.43) 65.6 (0.43) 34.4 (0.43)
Overweight 74.6 (0.41) 25.4 (0.41) 60.8 (0.46) 39.2 (0.46)
Healthy eating behavior No 74.9 (0.34) 25.1 (0.34) 42.04 <.001 62.0 (0.33) 38.0 (0.33) 67.33 <.001
Yes 76.2 (0.63) 23.8 (0.63) 67.9 (0.65) 32.1 (0.65)

BMI=body mass index; SE=standard error; a Values are presented as weighted % (SE) or M±SE unless otherwise indicated.

Table 3.
Association between Healthy Eating Behavior and Depression
Characteristics Categories Boys
Girls
OR 95% CI p OR 95% CI p
Eating behavior Non-healthy eating behavior 1.37 1.07~1.75 .013 0.98 0.64~1.50 .933
Healthy eating behavior 1.00 1.00

BMI=body mass index OR=odds ratio; CI=confidence interval;

Calculated by complex sample multi-logistic regression analysis, adjusted for family live together, economic status, academic performance, smoking, alcohol use, exercise habits, sleep duration, perceived weight status, BMI;

Calculated by complex sample multi- logistic regression analysis, adjusted for family live together, economic status, academic performance, smoking, alcohol use, exercise habits, sleep duration, perceived weight status.

TOOLS
Similar articles