- Research article
- Open Access
Influences of socioeconomic factors on childhood and adolescent overweight by gender in Korea: cross-sectional analysis of nationally representative sample
BMC Public Health volume 14, Article number: 324 (2014)
Childhood and adolescent overweight is a recognized public health concern as the prevalence is already high and continues to increase. The purpose of this study was to examine the relationship between socioeconomic status (SES) and overweight status by gender among Korean children and adolescents.
The data used in this study were taken from the 2009 Korean Survey on the Obesity of Youth and Children. Underweight individuals (n = 1,010) and children and adolescents whose age, height, or weight information was missing (n = 591) were excluded from the data set, resulting in a total of 8,555 subjects who were included in this analysis. Subjective SES, parental education level, parental occupational status, and family structure were used to measure parental SES. Chi-squared tests were used for univariable analysis and multiple logistic regression analysis was conducted for multivariable analysis.
After adjusting for subject’s characteristics including gender, age, parental interest in weight management of children, parental body shape, economic status variables that significantly influenced childhood overweight were identified. Low economic status increased the probability of childhood overweight (odds ratio, 1.3; 95% confidence interval, 1.1-1.5).
There is an inverse association between parental SES variables and the overweight status of children and adolescents. Additionally, parental body shape is an important factor that influences childhood and adolescent overweight.
Overweight in children and adolescents is considered to be a significant global public health concern as the prevalence is already high and continues to increase. As shown in recent studies, during the past 30 years, overweight had more than doubled in children and tripled in adolescents [1, 2]. In 2010, over one third of children and adolescents were obese . Similarly, from 1997 to 2005, the prevalence of overweight among all children and adolescents increased by 70% in South Korea . These figures are alarming, since overweight heightens the risk of adverse physical health outcomes, causes negative psychosocial consequences, and increases the likelihood of excessive weight in adulthood . In this regard, the prevention of overweight in children and adolescents is essential and requires an understanding of possible causative factors.
Over the years, the influencing factors in the development of overweight, genetic, environmental, lifestyle, and socioeconomic variables have been discussed . Recently, important parental characteristics that might impact childhood and adolescent overweight have been recognized as influential risk factors; namely, a combination of genetic, epigenetic, social, and environmental factors has been identified. For instance, having parents, especially mothers, who were overweight, increased the risk of children being overweight [6, 7]. Children with two obese parents also had a higher risk of being obese than those with one or no obese parents . In reality, with regards to the association between parental overweight and childhood overweight by gender, findings are conflicting. Some studies found different association in parental overweight between boys and girls, whereas others did not .
Parental socioeconomic variables are also known to increase the risk of childhood and adolescent overweight. An inverse correlation has been found between childhood overweight and parental education, occupation, and income levels in most studies since 1989 . Adolescents with parents from a lower socioeconomic status (SES) have poorer diets and engage in less physical activity than adolescents with parents from a higher SES , which may partially explain this association. In addition, examination of the association between childhood overweight and SES has revealed that the inverse association between parental education and overweight is more consistent than parental occupation or income . Furthermore, the SES-childhood overweight association was consistent between genders: an inverse relationship was identified .
Although the importance of childhood and adolescent overweight and its association with parental SES has been recognized, little research has been conducted, and most results have been inconsistent. Previous studies regarding adolescent overweight have utilized unrepresentative samples and have merely analyzed traditional socioeconomic variables such as income and education level of parents, leading to inconsistent results [12, 13]. In order to develop effective prevention and treatment programs for adolescent overweight, identifying the modifiable determinants of socioeconomic variables is necessary.
The purpose of the present study is to examine the relationship between parental SES and overweight in Korean children and adolescents through analysis of nationally representative data.
Data source and study samples
The data utilized in this study were taken from the 2009 Korean Survey on the Obesity of Youth and Children conducted by the National Youth Policy Institute (NYPI). The entire population for this survey was nationwide students from the fourth grades in elementary school to high school. The study sample was chosen by stratified cluster sampling. The entire population was classified by the school level (elementary, middle, high school) according to the “2008 Statistical Yearbook of Education,” which was the sampling frame, and then the population was stratified by 12 administrative districts. At the first stage, schools were chosen with a selection probability proportional to the number of students in each district. At the second stage, one classroom within each of the selected schools was randomly chosen. All students within the selected classroom were eligible to participate. After obtaining a written consent from the principal of one’s school and legal guardian, face to face interviews were carried out by educated interviewers who used structured questionnaires. These interviews were conducted between June and September of 2009. The samples’ response rate was 93.9%. A total of 10,156 students participated in the survey.
We analyzed 8,555 subjects, excluding 591 children and adolescents with missing data on age, height, or weight and 1,010 individuals with low body weight since this study focused on overweight. Because this study was based on information from the 2009 Korean Survey on the Obesity of Youth and Children by the NYPI that was comprised of thoroughly deidentified secondary data released to the public for research purposes , this study was exempt from full review by an ethical committee at the Eulji University (EU12-18).
Body mass index (BMI) is a widely used measure of adiposity that is calculated as weight in kilograms divided by height in meters, squared (kg/m2). The height and weight variables were self-reported. To define childhood overweight by BMI in this study, participants were classified using the extended International Obesity Task Force (IOTF) BMI cut-offs, which were age and gender specific cut‒off points that were extrapolated from the adult BMI cut‒offs of 25 kg/m2 for overweight . For statistical analysis, weight status served as the dependent variable and was classified into normal weight and overweight. The underweight group was excluded in this study [6, 16, 17].
In this study, parental SES served as an explanatory variable that could be measured by various factors. We selected four categories to measure parental SES based on the NYPI questionnaire: subjective economic status, parental education level, parental occupational status, and family structure. To measure subjective household economic status, participants were asked, “How would you rate your household economic status on the following scale?” and responded based on a 7-point Likert scale with 1 corresponding to “very poor” and 7 corresponding to “very wealthy”. Parental education level was divided into three categories (middle school graduated or lower, high school graduated, university graduated or higher) and both the paternal and maternal education levels were included in the questionnaire. Parental occupational status was determined by whether he or she was employed, but the type of occupation was not specified. Data on family structure were obtained from demographic information in the questionnaires. Family structure was divided into four types: parents living with children, single-parent family (father), single-parent family (mother), and without parents.
We considered gender, education (age), region, parents interest in weight control and parent’s body shape as potential confounders. To measure subjective interest of parents in their children’s weight management, participants were asked “How would you rate the interest of your parents in your weight management on the following scale?” and responded based on a 5-point Likert scale with 1 corresponding to “very interested” and 5 corresponding to “no interest”. To measure subjective parental body shape, participants were asked “How would you rate your parental body shape on the following scale?” and responded along a 5-point Likert scale with 1 corresponding to “very slim” and 5 corresponding to “very heavy”. All variables were self-reported and measured by a structured questionnaire.
For univariable analysis, the chi-squared test was used. For multivariable analysis, multiple logistic regression was applied using variables with a P value of less than 0.05 from the result of univariable analysis. Besides significant variables, father’s employment was considered to be an independent variable as well, because it is usually used as a proxy measure for economic levels. Logistic regression was used to calculate the odds ratio (OR) and 95% confidence interval (CI), while adjusting for possible confounders. And we analyzed the stratification logistic regression by gender. In order to examine the presence of multicollinearity, we confirmed the variance inflation factor and the logistic regression model didn’t show multicollinearity. All of the statistical analyses were two sided, and P < 0.05 was considered to be significant. For statistical analyses, SAS version 9.2 (SAS Institute, Cary, NC, USA) was used.
General characteristics of subjects
All 8,555 subjects were composed of 4,706 males (55.0%) and 3,849 females (45.0%). Regarding education, 29.5% were elementary school students, 70.5% were middle and high school students. For economic status, 45.9% answered ‘average’, 34.6% answered ‘high’, and 19.5% answered ‘low’. 79.5% of subjects were categorized into the below normal weight zone, while 20.6% were classified as being overweight or in the obese zone. The average BMI was 20.3 with a range of 14.1 to 40.6. Among the total sample of 8,555 subjects, there were 7,362 adolescents (86.1%) living with parents. Of the adolescents residing with one parent (8.8%), 308 lived in single-father households (3.6%) and 443 in single-mother households (5.2%). The remainder of the 442 adolescents (5.2%) in the sample represented individuals who did not live with their biological parents, but resided with grandparents, relatives, and/or siblings (Table 1).
Comparison of the general characteristics of the normal weight and overweight groups
To identify differences in the characteristics of subjects that influence the level of overweight, univariable analysis was performed. This analysis found that males were more likely to be obese than females, as 26.0% of males belonged to the overweight or obese group, while females made up only 13.9% of the group (P < 0.0001). Students from 4th to 6th grade were more likely to be overweight than middle and high school (P < 0.0001). It was found that a higher proportion of students from low or high economic backgrounds belonged to the overweight group compared to students from the average economic background (P = 0.04). The proportion of overweight was slightly higher among the students with an unemployed father (P = 0.07). When parents were overweight, the children were more likely to be overweight (father’s body shape P < 0.0001, mother’s body shape P = 0.01), and as parental interest in weight management increased, the overweight status of children increased as well (P < 0.0001) (Table 2).
Effects of SES of parents on the overweight status of children
The result of multivariable logistic regression showed that gender, education level, parental economic level, interest of parents in weight management, and body shape of father and mother were significant variables. From the analysis, it was found that the probability of students being overweight increased significantly with lower levels of parental economic level [P = 0.03; OR, 1.1; 95% CI, 1.0-1.3 (middle level vs. upper level) and OR, 1.3; 95% CI, 1.1-1.5 (lower level vs. upper level)] (Table 3). Education level, interest of parents in weight management, and body shape of parents were significant variables in the multivariable logistic regression to analyze the male subjects. For females, education level, parental economic level, interest of parents in weight management, and the body shape of parents were significant variables (Table 4).
In this study, data from NYPI’s obesity status survey of 2009 were used to find the association between parental SES and the overweight status in children and adolescents. The prevalence of obesity in children and adolescents was higher when subjective household economic status was lower. And the father was unemployed, the risk of obesity could be increased (P = 0.084). The theoretical framework proposed by Sobal  acknowledges that each SES indicator may operate via a different pathway to influence the development of adiposity. According to this framework, education influences knowledge and beliefs, occupation influences lifestyle and shared peer values, and income relates to access to resources . Therefore, economic status could affect their children’s access to resources for the healthy life style. Also, compared to employed fathers, children and adolescents of unemployed fathers showed higher rates of overweight.
This study, which used nationally representative data of Korea, reconfirms that the relationship between overweight and SES among Korean children and adolescents is consistent with findings from developed countries, where the prevalence of overweight is inversely associated to SES [18–20]. In the 2009/2010 study of Health Behavior in School-aged Children (HBSC), 13 out of 39 countries showed a statistically significant association between the low family affluence scale (FAS) and the overweight status in both genders. Moreover, another eight countries showed an inverse relationship between overweight and FAS in females. Lastly, the findings of this study also correspond with Korean adult women’s overweight patterns .
Objective and subjective SES indicators for adolescents
In a study of the health equity of adolescents, the appropriateness of conventional indicators such as parental education level and household income was debated and various alternative indicators were proposed [22, 23]. They stemmed from the particular characteristics of adolescents during the middle stages of the maturation process and the possibility of inaccurate measurement of parental SES by adolescents. For the latter, the FAS was created to be a more accurate indicator . For the former, measurement of the SES of adolescents by asking their own status instead of parental SES was proposed [24, 25]. Because adolescent SES was self-measured, the measure indicated the subjective SES of adolescents. Therefore, the debate on appropriate indicators of adolescent SES is interconnected with the origin of health inequality. If material deficiency is a major factor in health inequality, then an objective SES indicator such as FAS or well-measured parental SES is more strongly related to health outcomes. However, if psychosocial stress is a major factor, then subjective SES is more strongly related to health outcomes. In this analysis, objective SES and subjective SES indicators were both considered. Education level of parents and employment status could be regarded as the objective SES indicator. On the contrary, the subjective household economic status is reported by adolescents, and therefore it could be considered as the subjective SES reported by adolescents .
In this study, the results were inconsistent. Father’s employment status had a tendency related to overweight in children and adolescents when male and female students were considered together, which suggests that traditional indicators could be appropriate to study adolescents. However, subjective economic status had a significant effect on overweight also. And in subgroup analysis, economic status was associated with females being overweight. Therefore, objective SES and subjective SES had a different effect on each gender. In previous studies, it is proposed that objective SES, subjective SES and overweight status affect each other . For example, objective SES has an effect on overweight through diet, physical activity or stress. Furthermore, subjective SES has an effect on overweight through stress and psychological sequelae such as social isolation. Also overweight results in both objective SES through stigma and discrimination and subjective SES through cultural norms and stigma. Therefore, it is appropriate to consider the various SES indicators including objective and subjective SES indicator because both could affect health outcomes independently [24, 26].
Biological characteristics of parents and the role of interest on adolescent’s overweight
Overweight patterns by gender were also related to the body shapes of parents. In the case of male students, when their mother was slender or obese, the risk of children and adolescent’s being overweight was higher. But in the case of female students, the risk of being overweight increased only when the mother was obese. Additionally, the father’s body shape had a significant effect on female students but not on male students. Therefore, differences in overweight inequality may result from gender. For example, dietary and physical inactivity that are important to overweight differ between the two genders .
Parental interest in weight management plays a significant role in adolescents through role modeling and encouraging healthy weight management. Studies exploring the relationship between parental interest in weight management, and adolescent diet or risk for overweight have been controversial. Authoritarian or disengaged parenting styles were consistently associated with a greater increase in adolescent BMI compared to balanced parenting styles , while other studies found no association between parental interest in weight management and BMI trajectories through childhood and adolescence [28, 29]. In this study, less parental interest is related to high risk of overweight. But in this cross sectional study, it is hard to determine if parental less interest in weight is a cause for overweight in children.
The overweight or underweight status of parents could affect the overweight in children or adolescents by genetic traits or family life styles. In this study, when the parents were obese or slender, the odds of children and adolescents being overweight increased compared to when the parents were of average weight. However, because the overweight of parents was measured by children and adolescents, this measurement could have a bias. This result illustrates the inheritance of overweight by the subsequent generation. Therefore, appropriate interventions deterring the inheritance of overweight are needed. Because lifestyle may also be affected by SES, a targeted intervention for families with lower SES could be beneficial.
Strength and weaknesses of this study
A previous study which used the 2007 Korea Youth Risk Behavior Web-based Survey, another nationally representative survey, showed an inverse relationship between overweight status and subjective social status . Among SES indicators, subjective family economic status and subjective school achievement were statistically significant in multiple logistic regression analyses. This study also showed a negative relationship between SES and overweight in spite of differences in measurement methods and data source. In comparison to a previous study, elementary school children from 4th to 6th grade were included and the health outcome was defined as being overweight instead of obese, and the definition of being overweight changed. More importantly, the biologic factors of parents, which were not considered in a previous study, were also considered. In spite of these differences, the importance of SES was acknowledged. But there is a need for further studies on the appropriate SES indicators for adolescents.
The present study has some limitations. Firstly, because the present study is a cross-sectional study, causality could not be established. Although a previous cohort study also found evidence that SES was associated with overweight, the cross sectional design of the present study weakens the causality of overweight. Therefore, a longitudinal study that could further determine cause-outcome relationships is necessary. Another limitation is the inaccuracy of self-administered questionnaires and the lack of validation in the assessment of questions. In particular, overweight status was defined by self-reported height and weight. However, students are well known about their height and weight based on their physical examination that is mandatorily taken every year at the school in Korea. Children and adolescents may underestimate their obese status and the prevalence of overweight could be underestimated. Parent body shape variables are also reported by children. This could result in over or underestimation of association between children and parent BMI. Similarly, because the employment status is only classified as employed or unemployed, the detailed employment situation, such as having a professional job or an unskilled job cannot be ascertained. These aspects could also have an impact on the examination of the relationship between overweight and SES. These limitations pointed out the need for careful interpretation of the findings in this study and future research on adolescent overweight.
This study showed an inverse association between overweight and SES in Korean children and adolescents through an examination of nationally representative data. The prevalence of overweight was higher in the low economic status group. Also, in a subgroup analysis by gender, which adjusted for demographic factors and SES indicators, subjective family economic status, and paternal education level had significant effects on the overweight status of children and adolescents. These results match previous findings on SES-overweight inverse patterns in Korean adolescents in spite of difference in measurement methods, time, and data sources. This confirms that the overweight pattern of Korean children and adolescents matches that of other developed countries. An appropriate intervention targeting the inheritance of overweight should be an area of concern in Korea.
Body mass index
National Youth Policy Institute
International Overweight Task Force
Health Behavior in School-aged Children
Family affluence scale
Gross domestic product
National Center for Health Statistics: Health, United States: With Special Features on Socioeconomic Status and Health. 2011, Hyattsville, MD: U.S. Department of Health and Human Services. 2012
Ogden CL, Carroll MD, Kit BK, Flegal KM: Prevalence of obesity and trends in body mass index among US children and adolescents, 1999–2010. JAMA. 2012, 307: 483-490. 10.1001/jama.2012.40.
Oh K, Jang MJ, Lee NY, Moon JS, Lee CG, Yoo MH, Kim YT: Prevalence and trends in obesity among Korean children and adolescents in 1997 and 2005. Korean J Pediatr. 2008, 51: 950-955. 10.3345/kjp.2008.51.9.950.
Sato AF, Jelalian E, Hart CN, Lloyd-Richardson EE, Mehlenbeck RS, Neill M, Wing RR: Associations between parent behavior and adolescent weight control. J Pediatr Psychol. 2011, 36: 451-460. 10.1093/jpepsy/jsq105.
McLaren L: Socioeconomic status and obesity. Epidemiol Rev. 2007, 29: 29-48. 10.1093/epirev/mxm001.
Gibson LY, Byrne SM, Davis EA, Jacoby P, Zubrick SR: The role of family and maternal factors in childhood obesity. Med J Aust. 2007, 186: 591-595.
Wang Z, Patterson CM, Hills AP: Association between overweight or obesity and household income and parental body mass index in Australian youth: analysis of the Australian national nutrition survey, 1995. Asia Pac J Clin Nutr. 2002, 11: 200-205. 10.1046/j.1440-6047.2002.00291.x.
Lake JK, Power C, Cole TJ: Child to adult body mass index in the 1958 British birth cohort: associations with parental obesity. Arch Dis Child. 1997, 77: 376-381. 10.1136/adc.77.5.376.
Svensson V, Jacobsson JA, Fredriksson R, Danielsson P, Sobko T, Schio HB, Marcus C: Associations between severity of obesity in childhood and adolescence, obesity onset and parental BMI: a longitudinal cohort study. Int J Obes (Lond). 2011, 35: 46-52. 10.1038/ijo.2010.189.
Shrewsbury V, Wardle J: Socioeconomic status and adiposity in childhood: a systematic review of cross-sectional studies 1990–2005. Obesity. 2008, 16: 275-284. 10.1038/oby.2007.35.
Hanson MD, Chen E: Socioeconomic status and health behaviors in adolescence: a review of the literature. J Behav Med. 2007, 30: 263-285. 10.1007/s10865-007-9098-3.
Ki M, Choi BY, Kim MK, Fang JN, Xu CY, Ahn DH, Kang YJ: Relationship between adolescent obesity and socioeconomic status of parents: in Seoul, Yangpyong, and Yanbian area. Korean J Prev Med. 1999, 32: 9-16.
Kim J, Im J, Yim J, Park SH, Hong DH: The relationship between economic status and adolescent obesity in Incheon, Korea. Korean J Obes. 2007, 16: 76-85.
NYPI: Cross sectional survey data 2009. http://archive.nypi.re.kr/sub.asp?BID=B32&idx=700&BoardType=view&page=1&Search_m=&Search_t=&Mcode=B020090 (accessed 3 March 2013)
International Association for the Study of Obesity: Extended international (IOTF) body mass index cut-offs for thinness, overweight and obesity in children. http://www.iaso.org/resources/aboutobesity/child-obesity/newchildcutoffs (accessed 3 September 2012)
Sobal J: Obesity and socioeconomic status: a framework for examining relationships between physical and social variables. Med Anthropol. 1991, 13: 231-247. 10.1080/01459740.1991.9966050.
Fuemmeler BF, Yang C, Costanzo P, Hoyle RH, Siegler IC, Williams RB, Ostbye T: Parenting styles and body mass index trajectories from adolescence to adulthood. Health Psychol. 2012, 31: 441-449.
Haug E, Rasmussen M, Samdal O, Iannotti R, Kelly C, Borraccino A, Vereecken C, Melkevik O, Lazzeri G, Giacchi M, Ercan O, Due P, Ravens-Sieberer U, Currie C, Morgan A, Ahluwalia N, HBSC Obesity Writing Group: Overweight in school-aged children and its relationship with demographic and lifestyle factors: results from the WHO-collaborative health behaviour in school-aged children (HBSC) study. Int J Public Health. 2009, 54 (Suppl 2): 167-179.
Oh IH, Cho Y, Park SY, Oh C, Choe BK, Choi JM, Yoon TY: Relationship between socioeconomic variables and obesity in Korean adolescents. J Epidemiol. 2011, 21: 263-270. 10.2188/jea.JE20100099.
Currie C, Zanotti C, Morgan A, Currie D, De Looze M, Roberts C, Samdal O, Smith RF, Barnekow V: Social Determinants of Health and Well-Being Among Young People. Health Behaviour in School-Aged Children (HBSC) Study. 2012, Copenhagen: WHO Regional Office for Europe
Yoon YS, Oh SW, Park HS: Socioeconomic status in relation to obesity and abdominal obesity in Korean adults: a focus on sex differences. Obesity (Silver Spring). 2006, 14: 909-919. 10.1038/oby.2006.105.
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: 385-397. 10.1093/her/12.3.385.
West P, Sweeting H: Evidence on equalisation in health in youth from the West of Scotland. Soc Sci Med. 2004, 59: 13-27. 10.1016/j.socscimed.2003.12.004.
Goodman E, Adler NE, Kawachi I, Frazier AL, Huang B, Colditz GA: Adolescents’ perceptions of social status: development and evaluation of a new indicator. Pediatrics. 2001, 108: e31-10.1542/peds.108.2.e31.
Piko B, Fitzpatrick KM: Does class matter? SES and psychosocial health among Hungarian adolescents. Soc Sci Med. 2001, 53: 817-830. 10.1016/S0277-9536(00)00379-8.
Goodman E, Adler NE, Daniels SR, Morrison JA, Slap GB, Dolan LM: Impact of objective and subjective social status on obesity in a biracial cohort of adolescents. Obes Res. 2003, 11: 1018-1026. 10.1038/oby.2003.140.
Simen-Kapeu A, Veugelers PJ: Should public health interventions aimed at reducing childhood overweight and obesity be gender-focused?. BMC Public Health. 2010, 10: 340-10.1186/1471-2458-10-340.
Gable S, Lutz S: Household, parent, and child contributions to childhood obesity. Fam Relat. 2000, 49: 293-300. 10.1111/j.1741-3729.2000.00293.x.
Agras WS, Hammer LD, McNicholas F, Kraemer HC: Risk factors for childhood overweight: a prospective study from birth to 9.5 years. J Pediatr. 2004, 145: 20-25. 10.1016/j.jpeds.2004.03.023.
The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2458/14/324/prepub
We acknowledge Ji Yeon Dang (MA student at Eulji University, email@example.com) and Jumin Park (PhD student at Maryland University, firstname.lastname@example.org) who helped with literature review for this study. There is no funding for this study.
The authors declare that they have no competing interests.
JW participated in the design of the study, interpretation of data, and drafting the manuscript.YE made substantial contributions to the analysis and interpretation of data. IH was involved in drafting the manuscript and revising it critically for important intellectual content. YD was accountable for all aspects of the work in ensuring that questions related to the accuracy, design or integrity of this paper. All authors read and approved the final manuscript.
About this article
Cite this article
Noh, JW., Kim, Ye., Oh, IH. et al. Influences of socioeconomic factors on childhood and adolescent overweight by gender in Korea: cross-sectional analysis of nationally representative sample. BMC Public Health 14, 324 (2014). https://doi.org/10.1186/1471-2458-14-324
- Childhood and adolescent overweight
- Socioeconomic factors