Background The ever-increasing older population and its association with serious overweight problems have garnered much attention. The correlation between being overweight and socioeconomic status factors could be helpful for understanding the inequalities among the overweight population. We examined the correlation between being overweight and some key variables, such as demographics, socioeconomic status, general health status, and health behavior in a large sample of older individuals, by each gender. Methods We used data from the 2008 Korean Longitudinal Study of Aging and it included 8,157 participants who were 45 years or older. To understand the relationship between the overweight participants in accordance to demographic and socioeconomic characteristics, health status, and health behaviors, a weighted chi-square test and logistic regression analysis were conducted by separating variables related to overweight, according to the genders. Results The number of people in the normal group was 6,347 (77.8%), while the people who were considered overweight were 1,810 (22.2%). Women (n = 4,583) constituted 52.7% of the subject, 24.9% of whom were classified as overweight. Meanwhile, 20.6% of the 47.3% (n = 3,574) of the sample who were men were classified as overweight. Participants between the ages of 45 and 64 with chronic diseases were more likely to be overweight. Men in the 4th quartile of household income were more likely to be overweight than those who were in the 1st quartile, in contrast, while unemployed women with lower education levels and urban residents were at greater risk for being overweight. Conclusions Among the men, health status and health behavior appeared to show a correlation with being overweight; however, among women, socioeconomic status factors were strongly related to being overweight. These findings appear to support the association of gender-specifics with the prevalence of being overweight.
References
[1]
WHO Media Centre. Obesity and overweight. Fact sheet N°311. Available: http://www.who.int/mediacentre/factsheet?s/fs311/en/. Accessed 2013 Mar 5.
[2]
Oh SW (2011) Obesity and metabolic syndrome in Korea. Diabetes Metab J 35: 561–566. doi: 10.4093/dmj.2011.35.6.561
[3]
Korean National Statistical Office (2012) Population projections for Korea. Available: http://www.kosis.kr/eng/&http://kostat.g?o.kr/portal/korea/kor_nw/2/1/index.board??bmode=read&aSeq=250718. Accessed 2013 Feb 10.
[4]
Sobal J, Stunkard AJ (1989) Socioeconomic status and obesity: a review of the literature. Psychol Bull 105: 260–275. doi: 10.1037//0033-2909.105.2.260
[5]
Ball K, Crawford D (2005) Socioeconomic status and weight change in adults: a review. Soc Sci Med 60: 1987–2010. doi: 10.1016/j.socscimed.2004.08.056
[6]
McLaren L (2007) Socioeconomic status and obesity. Epidemiol Rev 29: 29–48. doi: 10.1093/epirev/mxm001
[7]
Wells JC, Marphatia AA, Cole TJ, McCoy D (2012) Associations of economic and gender inequality with global obesity prevalence: understanding the female excess. Soc Sci Med 75: 482–490. doi: 10.1016/j.socscimed.2012.03.029
[8]
Reas DL, Nyg?rd JF, Svensson E, S?rensen T, Sandanger I (2007) Changes in body mass index by age, gender, and socio-economic status among a cohort of Norwegian men and women (1990–2001). BMC Public Health 7: 269. doi: 10.1186/1471-2458-7-269
[9]
Vernay M, Malon A, Oleko A, Salanave B, Roudier C, et al. (2009) Association of socioeconomic status with overall overweight and central obesity in men and women: the French nutrition and health survey 2006. BMC Public Health 9: 215. doi: 10.1186/1471-2458-9-215
[10]
Gruji? V, Martinov-Cvejin M, A?-Nikoli? E, Dragni? N, Mijatovi?-Jovanovi? V, et al. (2009) Association between obesity and socioeconomic factors and lifestyle. Vojnosanit Pregl 66: 705–710. doi: 10.2298/vsp0909705g
[11]
Rodríguez-Martín A, Novalbos Ruiz JP, Martinez Nieto JM, Escobar Jimenez YL (2009) Life-style factors associated with overweight and obesity among Spanish adults. Nutr Hosp 24: 144–151.
[12]
Sund ER, Jones A, Midthjell K (2010) Individual, family, and area predictors of BMI and BMI change in an adult Norwegian population: findings from the HUNT study. Soc Sci Med 70: 1194–1202. doi: 10.1016/j.socscimed.2010.01.007
[13]
Martin AR, Nieto JM, Ruiz JP, Jimenez LE (2008) Overweight and obesity: the role of education, employment and income in Spanish adults. Appetite 51: 266–272. doi: 10.1016/j.appet.2008.02.021
[14]
Tchicaya A, Lorentz N (2012) Socioeconomic inequality and obesity prevalence trends in Luxembourg, 1995–2007. BMC Res Notes 5: 467. doi: 10.1186/1756-0500-5-467
[15]
Roskam AJ, Kunst AE (2008) The predictive value of different socio-economic indicators for overweight in nine European countries. Public Health Nutr 11: 1256–1266. doi: 10.1017/s1368980008002747
[16]
Sabanayagam C, Shankar A, Saw SM, Tai ES, Wong TY (2009) The association between socioeconomic status and overweight/obesity in a Malay population in Singapore. Asia Pac J Public Health 21: 487–496. doi: 10.1177/1010539509343957
[17]
Ball K, Mishra G, Crawford D (2003) Social factors and obesity: an investigation of the role of health behaviours. Int J Obes Relat Metab Disord 27: 394–403. doi: 10.1038/sj.ijo.0802237
[18]
Park HS, Park CY, Oh SW, Yoo HJ (2008) Prevalence of obesity and metabolic syndrome in Korean adults. Obes Rev 9: 104–107. doi: 10.1111/j.1467-789x.2007.00421.x
[19]
Kim MY, Oh JK, Lim MK, Yun EH, Kang Y (2012) The association of socioeconomic and psychosocial factors with obesity in a rural community. Korean J Obes 21: 18–28. doi: 10.7570/kjo.2012.21.1.18
[20]
Cho J, Juon HS (2006) Assessing overweight and obesity risk among Korean Americans in California using World Health Organization body mass index criteria for Asians. Prev Chronic Dis 3: A79.
[21]
Sobal J, Hanson KL, Frongillo EA (2009) Gender, ethnicity, marital status, and body weight in the United States. Obesity (Silver Spring) 17: 2223–2231. doi: 10.1038/oby.2009.64
[22]
Padez C (2006) Trends in overweight and obesity in Portuguese conscripts from 1986 to 2000 in relation to place of residence and educational level. Public Health 120: 946–952. doi: 10.1016/j.puhe.2006.05.023
[23]
Kim IH, Chun H, Kwon JW (2011) Gender differences in the effect of obesity on chronic diseases among the elderly Koreans. J Korean Med Sci 26: 250–257. doi: 10.3346/jkms.2011.26.2.250
[24]
Santos R, Aires L, Santos P, Ribeiro JC, Mota J (2008) Prevalence of overweight and obesity in a Portuguese sample of adults: results from the Azorean Physical Activity and Health Study. Am J Hum Biol 20: 78–85. doi: 10.1002/ajhb.20680
[25]
Hajian-Tilaki KO, Heidari B (2007) Prevalence of obesity, central obesity and the associated factors in urban population aged 20–70 years, in the north of Iran: a population-based study and regression approach. Obes Rev 8: 3–10. doi: 10.1111/j.1467-789x.2006.00235.x
[26]
Jitnarin N, Kosulwat V, Rojroongwasinkul N, Boonpraderm A, Haddock CK, et al. (2010) Risk factors for overweight and obesity among Thai adults: results of the National Thai Food Consumption Survey. Nutrients 2: 60–74. doi: 10.3390/nu2010060
[27]
Kim JY, Chang HM, Cho JJ, Yoo SH, Kim SY (2010) Relationship between obesity and depression in the Korean working population. J Korean Med Sci 25: 1560–1567. doi: 10.3346/jkms.2010.25.11.1560
[28]
Kim O, Jeon HO (2012) Relations of drinking motives and alcohol consumption in Korean male office workers. Psychol Rep 111: 963–970. doi: 10.2466/18.06.13.pr0.111.6.963-970
[29]
Kwon GY (2005) Factors influencing drinking of employees: focus on the white collar employees. Korean J Soc Welfare 57: 93–118.
[30]
Gutiérrez-Fisac JL, Guallar-Castillón P, Díez-Ga?án L, López García E, Banegas BanegasJR, et al. (2002) Work-related physical activity is not associated with body mass index and obesity. Obes Res 10: 270–276. doi: 10.1038/oby.2002.37
[31]
Park HJ, Lee SK (2011) Association of obesity with osteoarthritis in elderly Korean women. Maturitas 70: 65–68. doi: 10.1016/j.maturitas.2011.05.014
[32]
Ball K, Mishra G, Crawford D (2002) Which aspects of socioeconomic status are related to obesity among men and women? Intl J Obes Relat Metab Disord 26: 559–565. doi: 10.1038/sj.ijo.0801960