Journal of Preventive Medicine and Public Health

The Korean Society for Preventive Medicine (대한예방의학회)
권호 표지
DOI QR코드

DOI QR Code

Variation in Meal-skipping Rates of Korean Adolescents According to Socio-economic Status: Results of the Korea Youth Risk Behavior Web-based Survey

  • Hong, Seri (Graduate School of Public Health, Yonsei University) ;
  • Bae, Hong Chul (Institute of Health Services Research, Yonsei University) ;
  • Kim, Hyun Soo (Institute of Health Services Research, Yonsei University) ;
  • Park, Eun-Cheol (Graduate School of Public Health, Yonsei University)
  • Received : 2013.11.17
  • Accepted : 2014.04.30
  • Published : 2014.05.31
Download PDF
⟨ Previous Next ⟩

Abstract

Objectives: To identify and evaluate the trend of meal-skipping rates among Korean adolescents with their contributing causes and the influence of household income level on meal skipping. Methods: Using 2008, 2010, and 2012 data from the Korea Youth Risk Behavior Web-based Survey of 222 662 students, a cross-sectional study with subgroup analysis was performed. We calculated odds ratios for skipping each meal 5 or more times in a week by household socio-economic status using a multiple logistic regression model. The secular change in the meal-skipping rates by the students' family affluence scale was analyzed by comparing the meal-skipping students within each subgroup and odds ratios for the same event over time. Results: Through 2008 to 2012, most of the meal-skipping rates generally showed a continuous increase or were almost unchanged in both sexes, except for breakfast skipping in several subgroups. Students in low-income households not living with both parents had the highest meal-skipping rates and odds ratios for frequent meal skipping. In a time-series subgroup analysis, the overall odds ratios for the same event increased during 2008 to 2012, with a slight reduction in the gap between low and higher income levels with regard to meal skipping during 2010 to 2012. Conclusions: Household socio-economic status and several other factors had a significant influence on Korean adolescent meal-skipping rates. Although the gap in eating behavior associated with household socio-economic differences is currently decreasing, further study and appropriate interventions are needed.

Keywords

References

  1. Abudayya AH, Stigum H, Shi Z, Abed Y, Holmboe-Ottesen G. Sociodemographic correlates of food habits among school adolescents (12-15 year) in North Gaza Strip. BMC Public Health 2009; 9:185. https://doi.org/10.1186/1471-2458-9-185
  2. Kant AK, Graubard BI. Secular trends in patterns of self-reported food consumption of adult Americans: NHANES 1971-1975 to NHANES 1999-2002. Am J Clin Nutr 2006;84(5):1215-1223.
  3. Kant AK, Graubard BI. 20-Year trends in dietary and meal behaviors were similar in U.S. children and adolescents of different race/ethnicity. J Nutr 2011;141(10):1880-1888. https://doi.org/10.3945/jn.111.144915
  4. Kant AK, Graubard BI. Family income and education were related with 30-year time trends in dietary and meal behaviors of American children and adolescents. J Nutr 2013;143(5): 690-700. https://doi.org/10.3945/jn.112.165258
  5. Kemm JR. Eating patterns in childhood and adult health. Nutr Health 1987;4(4):205-215. https://doi.org/10.1177/026010608700400404
  6. Fahlman MM, McCaughtry N, Martin J, Shen B. Racial and socioeconomic disparities in nutrition behaviors: targeted interventions needed. J Nutr Educ Behav 2010;42(1):10-16. https://doi.org/10.1016/j.jneb.2008.11.003
  7. Hulshof KF, Brussaard JH, Kruizinga AG, Telman J, Löwik MR. Socio-economic status, dietary intake and 10 y trends: the Dutch National Food Consumption Survey. Eur J Clin Nutr 2003;57(1): 128-137. https://doi.org/10.1038/sj.ejcn.1601503
  8. Hulshof KF, Lowik MR, Kok FJ, Wedel M, Brants HA, Hermus RJ, et al. Diet and other life-style factors in high and low socio-economic groups (Dutch Nutrition Surveillance System). Eur J Clin Nutr 1991;45(9):441-450.
  9. Kant AK, Graubard BI. Secular trends in the association of socio-economic position with self-reported dietary attributes and biomarkers in the US population: National Health and Nutrition Examination Survey (NHANES) 1971-1975 to NHANES 1999-2002. Public Health Nutr 2007;10(2):158-167.
  10. Wang Y, Jahns L, Tussing-Humphreys L, Xie B, Rockett H, Liang H, et al. Dietary intake patterns of low-income urban african-american adolescents. J Am Diet Assoc 2010;110(9):1340-1345. https://doi.org/10.1016/j.jada.2010.06.005
  11. Munoz KA, Krebs-Smith SM, Ballard-Barbash R, Cleveland LE. Food intakes of US children and adolescents compared with recommendations. Pediatrics 1997;100(3 Pt 1):323-329. https://doi.org/10.1542/peds.100.3.323
  12. Kim HY, Frongillo EA, Han SS, Oh SY, Kim WK, Jang YA, et al. Academic performance of Korean children is associated with dietary behaviours and physical status. Asia Pac J Clin Nutr 2003; 12(2):186-192.
  13. Huang CJ, Hu HT, Fan YC, Liao YM, Tsai PS. Associations of breakfast skipping with obesity and health-related quality of life: evidence from a national survey in Taiwan. Int J Obes (Lond) 2010; 34(4):720-725. https://doi.org/10.1038/ijo.2009.285
  14. Bae HO, Kim M, Hong SM. Meal skipping children in low-income families and community practice implications. Nutr Res Pract 2008;2(2):100-106. https://doi.org/10.4162/nrp.2008.2.2.100
  15. June KJ, Kim JY, Park S, Lee JY. Breakfast skipping and related factors in children in poverty. J Korean Acad Community Health Nurs 2011;22(2):204-211 (Korean). https://doi.org/10.12799/jkachn.2011.22.2.204
  16. Kim HK, Yoon CH. Development of health promotion program for low income children in underserved area. Seoul: Korea Association of Health Promotion; 2007, p. 3-4, 111, 198-199 (Korean).
  17. Chung SJ, Lee Y, Kwon S. Factors associated with breakfast skipping in elementary school children in Korea. Korean J Community Nutr 2004;9(1):3-11 (Korean).
  18. Park HA, Kang JH, Kim KW, Cho YG, Hur YI, Kim OH. Breakfast skipping, related factors, and nutrients intake of 5th grade students. Korean J Fam Med 2011;32(1):11-20 (Korean). https://doi.org/10.4082/kjfm.2011.32.1.11
  19. Bang YM, Lee MS, Na BJ, Kim KY. A study on the related factors of skipping breakfast in elementary students. Korean J Health Educ Promot 2006;23(3):17-35 (Korean).
  20. Ministry of Education, Science and Technology; Ministry of Health and Welfare; Korea Center for Disease Control and Prevention. Guidelines of using a primitive data of Korea Youth Risk Behavior Web-based Survey indices definition 2012. Seoul: Ministry of Education, Science and Technology; 2012, p. 107-108, 133 (Korean).
  21. Choi IS, Ro HK. A comparison study on middle school students of Gwangju and Jeonnam in terms of dietary behavior, body perception and weight control concerns according to BMI. J Korean Soc Food Sci Nutr 2010;39(3):383-391 (Korean). https://doi.org/10.3746/jkfn.2010.39.3.383
  22. Kim YK, Shin WS. A comparison study on perception of body image and dietary habits of high school students between urban and rural areas. Korean J Community Nutr 2008;13(2): 153-163 (Korean).
  23. Kang HW, Lee SS. A study on weight control and dietary life among middle school students: nutrition knowledge, dietary behavior and food frequency. Korean J Nutr 2006;39(8):817-831 (Korean).
  24. Eom HS, Jeong MJ, Kim SB. A study on nutrition knowledge, dietary attitude, food habit of middle school students in Chonbuk area. Korean J Community Nutr 2005;10(5):574-581 (Korean).
  25. Korea Centers for Disease Control and Prevention; Korean Pediatric Society. 2007 KCDC growth charts for the Korea. Seoul: Korea Centers for Disease Control and Prevention; 2007, p. 1-60 (Korean).
  26. Currie C, Molcho M, Boyce W, Holstein B, Torsheim T, Richter M. Researching health inequalities in adolescents: the development of the Health Behaviour in School-Aged Children (HBSC) family affluence scale. Soc Sci Med 2008;66(6):1429-1436. https://doi.org/10.1016/j.socscimed.2007.11.024
  27. Boyce W, Torsheim T, Currie C, Zambon A. The family affluence scale as a measure of national wealth: validation of an adolescent self-report measure. Soc Indic Res 2006;78(3):473-487. https://doi.org/10.1007/s11205-005-1607-6
  28. Currie C, Nic Gabhainn S, Godeau E, Roberts C, Smith R, Currie D, et al. Inequalities in young people's health: HBSC international report from the 2005/2006 Survey. Copenhagen: World Health Organization; 2008, p. 13-15.
  29. Currie CE, Elton RA, Todd J, Platt S. Indicators of socioeconomic status for adolescents: the WHO Health Behaviour in School-aged Children Survey. Health Educ Res 1997;12(3):385-397. https://doi.org/10.1093/her/12.3.385
  30. Hanson KL, Olson CM. School meals participation and weekday dietary quality were associated after controlling for weekend eating among U.S. school children aged 6 to 17 years. J Nutr 2013;143(5):714-721. https://doi.org/10.3945/jn.112.170548
  31. Bhattacharya J, Currie J, Haider SJ. Breakfast of champions? The school breakfast program and the nutrition of children and families. J Hum Resour 2006;41(3):445-466.
  32. Hur MH. The public school lunch program and its contribution to the alleviation of problem behaviors. Int J Bus Soc Sci 2012;3(18S):142-150.
  33. Chung KH. Lunch program for needy children: current status and policy recommendations. Seoul: Korea Institute for Health and Social Affairs; 2005, p. 5-14 (Korean).
  34. Yoon JH. Opinions on food service program for low-income children when schools are not in session. Seoul: Korea Institute for Health and Social Affairs; 2005, p. 37-48 (Korean).
  35. Lee KA, Lyu ES. Comparison of student satisfaction with foodservice of middle school by place for meal service in Busan area. J Korean Soc Food Sci Nutr 2005;34(2):209-218 (Korean). https://doi.org/10.3746/jkfn.2005.34.2.209
  36. Song HJ, Moon HK. Comparing school lunch program served at dining room with program at classroom for sanitation and contentment at one middle school. Korean J Community Nutr 2010;15(3):369-378 (Korean).

Cited by

  1. 아침 결식이 경기지역 남녀 중학생의 영양섭취상태, 피로자각도 및 주의집중력에 미치는 영향 vol.29, pp.5, 2014, https://doi.org/10.7318/kjfc/2014.29.5.464
  2. Regional Disparities in Sedentary Behaviors and Meal Frequency in Iranian Adolescents: The CASPIAN-III Study vol.25, pp.2, 2015, https://doi.org/10.5812/ijp.182
  3. Food consumption patterns of adolescents aged 14–16 years in Kolkata, India vol.16, pp.1, 2014, https://doi.org/10.1186/s12937-017-0272-3
  4. The Effect of Family-Based Empowerment on Obesity among Adolescents in Tana Toraja vol.18, pp.9, 2014, https://doi.org/10.3923/pjn.2019.866.872
  5. Identifying eating habits in Finnish children: a cross-sectional study vol.19, pp.1, 2014, https://doi.org/10.1186/s12889-019-6603-x