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Journal of Family and Economic Issues

, Volume 30, Issue 2, pp 126–136 | Cite as

Overweight Korean Adolescents and Academic Achievement

  • Seong-Hoon ChoEmail author
  • Dayton M. Lambert
  • Hyun Jae Kim
  • Seung Gyu Kim
Original Paper

Abstract

The relationship between academic achievement and being overweight among South Korean high school students was examined. Data used in the regression were from the Korean Education and Employment Panel Survey. The theoretical framework that poor school performance increases the risk of adolescents’ being overweight, which, in turn, causes poor school performance, was supported. With no other direct or indirect association between weight and achievement, an overweight high school student’s poor performance in school was assumed to be a function of the psychosocial well-being variables and self-concern about weight. A simultaneous-equation regression model that endogenized the likelihood an individual is classified as overweight (a binary variable) and the performance of that individual on the College Scholastic Ability Test (CSAT) incorporates the unobserved psychosocial well-being correlated with both school grades and being overweight.

Keywords

Academic achievement Korea Overweight adolescents 

Notes

Acknowledgements

We would like to thank David. B. Eastwood, two co-guest editors, and two anonymous reviewers for their valuable comments.

References

  1. Alexander, K. L., Entwisle, D. R., & Bedinger, S. D. (1994). When expectations work: Race and socioeconomic differences in school performance. Social Psychology Quarterly, 57, 283–299.CrossRefGoogle Scholar
  2. Battistich, V., Solomon, D., Kim, D., Watson, M., & Schaps, E. (1995). Schools as communities, poverty levels of student populations, and students’ attitudes, motives, and performance: A multilevel analysis. American Educational Research Journal, 32(3), 627–658.Google Scholar
  3. Binder, D. A. (1983). On the variances of asymptotically normal estimators from complex surveys. International Statistical Review, 51, 279–292.Google Scholar
  4. Burke, P. J. (1989). Gender identity, sex, and school performance. Social Psychology Quarterly, 52(2), 159–169.CrossRefGoogle Scholar
  5. Cameron, A. C., & Trivedi, P. K. (2005). Microeconometrics: Methods and applications. Cambridge: Cambridge University Press.Google Scholar
  6. Campos, A. L., Sigulem, D. M., Moraes, D. E., Escrivao, A. M., & Fisberg, M. (1996). Intelligent quotient of obese children and adolescents by the Weschler scale. Revista de Saúde Pública, 30(1), 85–90.CrossRefGoogle Scholar
  7. Centers for Disease Control and Prevention (CDC). (2008). BMI—Body Mass Index. Retrieved November 23, 2008, from http://www.cdc.gov/nccdphp/dnpa/bmi/.
  8. Chen, Z., Yen, S., & Eastwood, D. (2007). Does smoking have a causal effect on weight reduction? Journal of Family and Economic Issues, 28, 49–67.CrossRefGoogle Scholar
  9. Cho, S., Poudyal, N. C., & Lambert, D. M. (2008). Estimating spatially varying effects of urban growth boundaries on land development and land value. Land Use Policy, 25, 320–329.CrossRefGoogle Scholar
  10. Chou, S. Y., Grossman, M., & Saffer, H. (2004). An economic analysis of adult obesity: Results from the Behavioral Risk Factor Surveillance System Source. Journal of Health Economics, 23(3), 565–587.CrossRefGoogle Scholar
  11. Coe, D. P., Pivarnik, J. M., Womack, C. J., Reeves, M. J., & Malina, R. M. (2006). Effect of physical education and activity levels on academic achievement in children. Medicine and Science in Sports and Exercise, 38(8), 1515–1519.CrossRefGoogle Scholar
  12. Cooper, H., Valentine, J., Lindsay, J. J., & Nye, B. (1999). Relationships between five afterschool activities and academic achievement. Journal of Educational Psychology, 91, 1–10.CrossRefGoogle Scholar
  13. Datar, A., Sturm, R., & Magnabosco, J. L. (2004). Childhood overweight and academic performance: National study of kindergartners and first-graders. Obesity Research, 12(1), 58–68.CrossRefGoogle Scholar
  14. Davis-Kean, P. E. (2005). The influence of parent education and family income on child achievement: The indirect role of parental expectations and the home environment. Journal of Family Psychology, 19(2), 294–304.CrossRefGoogle Scholar
  15. Desimone, L. (1999). Linking parent involvement with student achievement: Do race and income matter? The Journal of Educational Research, 93(1), 11–30.CrossRefGoogle Scholar
  16. Dietz, W. H. (1996). The role of lifestyle in health: The epidemiology and consequences of inactivity. Proceedings of the Nutrition Society, 55, 829–840.Google Scholar
  17. Dribe, M., & Stanfors, M. (2009). Education, work and parenthood: Comparing the experience of young men and women in Sweden. Journal of Family and Economic Issues, 30(1), 32–42.CrossRefGoogle Scholar
  18. Eisenberg, J., Radunovich, H., & Brennan, M. A. (2007). Understanding youth and adolescent overweight and obesity: Resources for families and communities. FYC932, University of Florida IFAS Extension. Retrieved November 23, 2008, http://edis.ifas.ufl.edu/FY932.
  19. Falkner, N. H., Neumark-Sztainer, D., Story, M., Jeffery, R. W., Beuhring, T., & Resnick, M. D. (2001). Social, educational, and psychological correlates of weight status in adolescents. Obesity Research, 9(1), 32–42.CrossRefGoogle Scholar
  20. Fan, J. X., & Chern, W. S. (1997). Analysis of food consumption patterns in China: Nonparametric and parametric approaches. Journal of Family and Economic Issues, 18(2), 113–126.CrossRefGoogle Scholar
  21. Forry, N. D. (2009). The impact of child care subsidies on low-income single parents: An examination of child care expenditures and family finances. Journal of Family and Economic Issues, 30(1), 43–54.CrossRefGoogle Scholar
  22. Fuller, W. A. (1975). Regression analysis for sample survey. Sankhya: The Indian Journal of Statistics C, 37, 117–132.Google Scholar
  23. Garrett, J. & Ruel, M. (2003). Stunted child––overweight mother pairs: An emerging policy concern? (Food Consumption and Nutrition Division Discussion Paper No. 148). Washington, DC: International Food Policy Research Institute.Google Scholar
  24. Gordon-Larsen, P., Adair, L. S., & Popkin, B. M. (2003). The relationship of ethnicity, socioeconomic factors, and overweight in U.S. adolescents. Obesity Research, 11, 121–129.CrossRefGoogle Scholar
  25. Grafova, I. B. (2007). Your money or your life: Managing health, managing money. Journal of Family and Economic Issues, 28(2), 285–303.CrossRefGoogle Scholar
  26. Haffner, S. M., Stern, M. P., Hazuda, H. P., Pugh, J., Patterson, J. K., & Malina, R. (1986). Upper body and centralized adiposity in Mexican Americans and non-Hispanic whites: Relationship to body mass index and other behavioral and demographic variables. International Journal of Obesity, 10, 493–502.Google Scholar
  27. Hong, S. (1996). Seoul: A global city in a nation of rapid growth. In F.-C. Lo & Y.-M. Yeung (Eds.), Emerging world cities in Pacific Asia (pp. 144–178). Tokyo: United Nations University Press.Google Scholar
  28. Izzo, C. V., Weissberg, R. P., Kasprow, W. J., & Fendrich, M. (1999). A longitudinal assessment of teacher perceptions of parent involvement in children’s education and school performance. American Journal of Community Psychology, 27(6), 817–839.CrossRefGoogle Scholar
  29. Jeynes, W. H. (2002). The relationship between the consumption of various drugs by adolescents and their academic achievement. The American Journal of Drug and Alcohol Abuse, 28(1), 15–35.CrossRefGoogle Scholar
  30. Jimerson, S., Egeland, B., & Teo, A. (1999). A longitudinal study of achievement trajectories factors associated with change. Journal of Educational Psychology, 91, 116–126.CrossRefGoogle Scholar
  31. Kang, Y., & Joung, H. (2007). Skipping breakfast and overweight are associated with academic achievement in Korean adolescents. The Journal of the Federation of American Societies for Experimental Biology, 21, lb245.Google Scholar
  32. Kember, D., Jamieson, Q. W., Pomfret, M., & Wong, E. T. T. (1995). Learning approaches, study time and academic performance. Higher Education, 29, 329–343.CrossRefGoogle Scholar
  33. Keshk, O. M. G. (2003). CDSIMEQ: A program to implement two-stage probit least squares. The Stata Journal, 3(2), 1–11.Google Scholar
  34. Kim, D. M., Ahn, C. W., & Nam, S. Y. (2005). Prevalence of obesity in Korea. Obesity Reviews, 6(2), 117–121.CrossRefGoogle Scholar
  35. Kim, S. W., Moon, S. J., & Popkin, B. M. (2000). The nutrition transition in South Korea. The American Journal of Clinical Nutrition, 71, 44–53.Google Scholar
  36. Kim, S. W., Moon, S. J., & Popkin, B. M. (2001). Nutrition transition in the Republic of Korea. Asia Pacific Journal of Clinical Nutrition, 10, s48–s56.Google Scholar
  37. Korean Education and Employment Panel (KEEP). (2004). Korean Education and Employment Panel. Retrieved November 23, 2008, from http://keep.nhrd.net/jsp/index.jsp.
  38. Kwon, J. W., Song, Y., Sung, J., Sohn, Y. J., & Cho, S. (2007). Varying patterns of BMI increase in sex and birth cohorts of Korean adults. Obesity, 15(2), 277–282.CrossRefGoogle Scholar
  39. Laitinen, J., Power, C., Ek, E., Sovio, U., & Jarvelin, M. R. (2002). Unemployment and obesity among young adults in a northern Finland 1966 birth cohort. International Journal of Obesity and Related Metabolic Disorders, 26(10), 1329–1338.CrossRefGoogle Scholar
  40. Lee, J. K. (2001). Confucian thought affecting leadership and organizational culture of Korean higher education. Radical Pedagogy, 3(3). Retrieved November 23, 2008, from http://radicalpedagogy.icaap.org/content/issue3_3/5-lee.html.
  41. Lehtonen, R., & Pahkinen, E. (1995). Practical methods for design and analysis of complex surveys. Chichester, England: John Wiley.Google Scholar
  42. Li, X. (1995). A study of intelligence and personality in children with simple obesity. International Journal of Obesity and Related Metabolic Disorders, 19(5), 355–357.Google Scholar
  43. Lisella, L. C., & Serwatka, T. S. (1996). Extracurricular participation and academic achievement in minority students in urban schools. The Urban Review, 28(1), 63–80.CrossRefGoogle Scholar
  44. Lohr, S. (1999). Sampling: Design and analysis. New York: Duxbury Press.Google Scholar
  45. Maddala, G. S. (1983). Limited dependent and qualitative variables in econometrics. New York: Cambridge University Press.Google Scholar
  46. McNabb, R., Pal, S., & Sloane, P. (2002). Gender differences in educational attainment: The case of university students in England and Wales. Economica, 69(275), 481–503.CrossRefGoogle Scholar
  47. Mikkila, V., Lahti-Koski, M., Pietinen, P., Virtanen, S. M., & Rimpela, M. (2003). Associates of obesity and weight dissatisfaction among Finnish adolescents. Public Health Nutrition, 6(1), 49–56.CrossRefGoogle Scholar
  48. Miller, P., & Plant, M. (1999). Truancy and perceived school performance: an alcohol and drug study of UK teenagers. Alcohol and Alcoholism, 34(6), 886–893.CrossRefGoogle Scholar
  49. Monteiro, C. A., Conde, W. L., & Popkin, B. M. (2002). Is obesity replacing or adding to undernutrition? Evidence from different social classes in Brazil. Public Health Nutrition, 5, 105–112.CrossRefGoogle Scholar
  50. Morel, G. (1989). Logistic regression under complex survey designs. Survey Methodology, 15, 203–223.Google Scholar
  51. Mo-suwan, L., Lebel, L., Puetpaiboon, A., & Junjana, C. (1999). School performance and weight status of children and young adolescents in a transitional society in Thailand. International Journal of Obesity, 23, 272–277.CrossRefGoogle Scholar
  52. Mustillo, S., Worthman, C., Erkanli, A., Keeler, G., Angold, A., & Costello, E. J. (2003). Obesity and psychiatric disorder: Developmental trajectories. Pediatrics, 111(4), 851–859.CrossRefGoogle Scholar
  53. Nilsson, W. (2008). Spousal income and sick leave: What do twins tell us about causality? Journal of Family and Economic Issues, 29, 407–426.CrossRefGoogle Scholar
  54. Olson, S., Bookstein, F. L., & Theide, K. (1997). Association of prenatal alcohol exposure with behavioral and learning problems in early adolescence. Journal of the American Academy of Child and Adolescent Psychiatry, 36, 1187–1194.CrossRefGoogle Scholar
  55. Olson, S., Sampson, P. D., Barr, H. M., Streissguth, A. P., & Bookstein, F. L. (1992). Prenatal exposure to alcohol and school problems in late childhood: A longitudinal prospective study. Development and Psychopathology, 4, 341–359.CrossRefGoogle Scholar
  56. Rami, B., Schober, E., Kirchengast, S., Waldhor, T., & Sefranek, R. (2004). Prevalence of overweight and obesity in male adolescents in Austria between 1985 and 2000: A population based study. Journal of Pediatric Endocrinology and Metabolism, 17, 67–72.Google Scholar
  57. Rampersaud, G. C., Pereira, M. A., Girard, B. L., Adams, J., & Metzl, J. D. (2005). Breakfast habits, nutritional status, body weight and academic performance in children and adolescents. Journal of the American Dietetic Association, 105, 743–760.CrossRefGoogle Scholar
  58. Renman, C., Engstrom, I., Silverdal, S. A., & Aman, J. (1999). Mental health and psychosocial characteristics in adolescent obesity: A population-based case–control study. Acta Paediatrica, 88, 998–1003.CrossRefGoogle Scholar
  59. Roberts, G., Rao, J. N. K., & Kumar, S. (1987). Logistic regression analysis of sample survey data. Biometrika, 74, 1–12.CrossRefGoogle Scholar
  60. Sabia, J. J. (2007). The effect of body weight on adolescent academic performance. Southern Economic Journal, 73, 871–900.CrossRefGoogle Scholar
  61. Sargent, J. D., & Blanchflower, D. G. (1994). Obesity and stature in adolescence and earnings in young adulthood. Analysis of a British birth cohort. Archives of Pediatrics and Adolescent Medicine, 148(7), 681–687.Google Scholar
  62. Schmitz, K. H., Lytle, L. A., Phillips, G. A., Murray, D. M., Birnbaum, A. S., & Kubik, M. Y. (2002). Psychosocial correlates of physical activity and sedentary leisure habits in young adolescents: The teens eating for energy and nutrition at school study. Preventive Medicine, 34, 266–278.CrossRefGoogle Scholar
  63. Schober, E., Rami, B., Kirchengast, S., Waldhör, T., & Sefranek, R. (2007). Recent trend in overweight and obesity in male adolescents in Austria: A population-based study. European Journal of Pediatrics, 166(7), 709–714.CrossRefGoogle Scholar
  64. Schwimmer, J. B., Burwinkle, T. M., & Varni, J. W. (2003). Health-related quality of life of severely obese children and adolescents. Journal of the American Medical Association, 289(14), 1813–1819.CrossRefGoogle Scholar
  65. Skinner, C. J., Holt, D., & Smith, T. M. F. (1989). Analysis of complex surveys. New York: John Wiley.Google Scholar
  66. Sothern, M. S., Despinasse, B., Brown, R., Suskind, R. M., Udall, J. N., & Blecker, U. (2000). Lipid profiles of obese children and adolescents before and after significant weight loss: Differences according to sex. Southern Medical Journal, 93, 278–282.Google Scholar
  67. Sun, H. (2003a). Physical and mental health of contemporary Chinese children. Journal of Family and Economic Issues, 24(4), 355–364.CrossRefGoogle Scholar
  68. Sun, H. (2003b). The current status of Chinese children. Journal of Family and Economic Issues, 24(4), 337–353.CrossRefGoogle Scholar
  69. Taras, H., & Potts-Datema, W. (2005). Obesity and student performance at school. Journal of School Health, 75(8), 291–295.CrossRefGoogle Scholar
  70. Townsend, M. S., Peerson, J., Love, B., Achterberg, C., & Murphy, S. P. (2001). Food insecurity is positively related to overweight in women. Journal of Nutrition, 131(6), 1738–1745.Google Scholar
  71. Troiano, R. P., & Flegal, K. M. (1998). Overweight children and adolescents: Description, epidemiology, and demographics. Pediatrics, 101(3), 497–504.Google Scholar
  72. Troisi, R. J., Heinold, J. W., Vokonos, P. S., & Weiss, S. T. (1991). Cigarette smoking, dietary intake, and physical activity: Effects on body fat–distribution—the Normative Aging Study. American Journal of Clinical Nutrition, 53, 1104–1111.Google Scholar
  73. Veugelers, P. J., & Fitzgerald, A. L. (2005). Prevalence of and risk factors for childhood overweight and obesity. Canadian Medical Association Journal, 173, 607–613.CrossRefGoogle Scholar
  74. Vila, G., Zipper, E., Dabbas, M., Bertrand, C., Robert, J. J., Ricour, C., et al. (2004). Mental disorders in obese children and adolescents. Psychosomatic Medicine, 66(3), 387–394.CrossRefGoogle Scholar
  75. White, H. (1980). A heteroskedasticity-consistent covariance matrix and a direct test for heteroskedasticity. Econometrica, 48, 817–838.CrossRefGoogle Scholar
  76. Wolfson, A. R., & Carskadon, M. A. (2003). Understanding adolescents’ sleep patterns and school performance: A critical appraisal. Sleep Medicine Review, 7, 491–506.CrossRefGoogle Scholar
  77. Zametkin, A. J., Zoon, C. K., Klein, H. W., & Munson, S. (2004). Psychiatric aspects of child and adolescent obesity: A review of the past 10 years. Journal of the American Academy of Child and Adolescent Psychiatry, 43(2), 134–150.CrossRefGoogle Scholar
  78. Zhang, Q., & Wang, Y. (2004). Socioeconomic inequality of obesity in the United States: Do gender, age, and ethnicity matter? Social Science and Medicine, 58, 1171–1180.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC 2009

Authors and Affiliations

  • Seong-Hoon Cho
    • 1
    Email author
  • Dayton M. Lambert
    • 1
  • Hyun Jae Kim
    • 2
  • Seung Gyu Kim
    • 1
  1. 1.Department of Agricultural EconomicsUniversity of TennesseeKnoxvilleUSA
  2. 2.Korea Energy Economics InstituteEuiwang-siKorea

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