Objectives: This study was conducted to investigate the prevalence of childhood obesity, the association between the undesirable lifestyles and socioeconomic factors, the association between childhood obesity and various risk factors, including socioeconomic factors, and the agreement between the body mass index (BMI) classification and the body fat percentage. Methods: The study subjects were all the 5th grade students from all the elementary schools in Gunpo City, Kyunggi Province, South Korea (4043 children at 22 schools). The subjects were measured for their height, weight and percent body fat etc. and they were also surveyed by questionnaire from March 18th to April 25th, 2005. To determine whether the children were within normal limits or not, standardized BMIs for each age group were used. The data was analyzed by logistic regression analysis using SAS 9.0 version. Results: The prevalence of childhood obesity prevalence was 25.1 %. Boys had a higher prevalence of obesity (27.5%) than did the girls (22.5%). Children had tendencies of having undesirable lifestyles and getting obese if they had a lower socioeconomic status. The risk factors for childhood obesity were low paternal education (OR: 1.17, 95% CI : 0.97-1.42) and non-parental caregivers (OR: 1.34, 95% CI : 0.98-1.82). Other risk factors for childhood obesity were a high birth-weight, longer TV/computer-using time, a lower fruit-eating frequency, short sleeping hours and parental obesity. The agreement rate between the BMI classification and the body fat percentage was 93.1 %. Conclusions: This study showed the children had a higher prevalence of obesity: further, not only individual lifestyles, but also socioeconomic factors could influence childhood obesity. Childhood obesity was especially more problematic for children with a low socioeconomic status.
Park, Jun;Kang, Gilwon;Tak, Yangju;Chang, Sounghoon;Lee, Kunsei;Kim, Hyeongsu
Health Policy and Management
/
v.26
no.3
/
pp.226-232
/
2016
Background: This study was conducted to analyze the influence of socioeconomic characteristics of community on the food insecurity under the control of personal socioeconomic factors which may be influence to the food security. Methods: Food insecurity and individual socioeconomic characteristics were obtained from 2012 community health survey. Socioeconomic characteristics of communities were extracted from the data of Statistics Korea and local governments. Personal socioeconomic factors were sex, age, educational status, job, and monthly family income. Socioeconomic characteristics of communities were administrative district (urban vs. rural), senior population rate, degree of financial self reliance, degree of financial independence, portion of welfare budget, number of welfare facilities, and unemployment rate. We analysed the relationships between the food insecurity and socioeconomic characteristics of community using multi-level analysis under the control of personal characteristics. Results: On personal level age, sex, education status, and monthly family income were related with food insecurity. On community level administrative district (urban vs. rural), degree of financial independence, unemployment rate, and proportion of welfare budget among local general government accounts were related to individual food insecurity. Rural area, district with low levels of financial independence, low portion of welfare budget, and greater unemployment rate showed a higher level of food insecurity. Conclusion: To reduce the level of food insecurity in a community it is necessary to decrease the unemployment rate, in addition to providing support from the central government by increasing the proportion of the welfare budget so that both factors contribute to raising the degree of financial independence.
Purpose: This study was conducted to identify activities of daily living, depression and self-rated health and related factors for Korean Elderly. Methods: Data from the survey for the Korean Longitudinal Study of Aging in 2010 were used. The data were analyzed using frequencies, weighted proportions, and hierarchical multiple logistic regression. Results: Significant difference was observed in health status induced by socioeconomic status between men and women, but not among age groups. Socioeconomic status was strongly associated with self-rated health among male and female elders. Being unschooled and low net family asset were significantly related with dependency in activities of daily living and depressive symptoms among men. Only low net family asset was significantly related with depressive symptoms among women. Family support provides a slight decrease to the negative relationship between socioeconomic status and health status, especially depressive symptoms. Conclusion: This study suggests that interventions to reduce health inequalities should target elderly with lower socioeconomic status and with poor family support, using a gender-specific approach.
Objectives : The aim of this study is to summarize the current conditions and implications of health inequalities in South Korea. Methods : Through a literature review of empirical studies and supplementary analysis of the data presented in the 1998, 2001, and 2005 KNHANEs, we evaluated the extent and trends of socioeconomic inequalities in both health risk factors, such as smoking, physical activity, and obesity, and outcomes, such as total mortality, subjective poor health status by self-reports and metabolic syndrome. Relative risks and odds ratios were used to measure differences across socioeconomic groups, and the relative index of inequality was used to evaluate the changes in inequalities over time. Results : We found clear inequalities to various degrees?in most health indicators. While little change was observed in mortality differences over time, the socioeconomic gaps in risk factors and morbidity have been widening, with much larger differences among the younger population. Conclusions : Socioeconomic inequalities are pervasive across various health indicators, and some of them are increasing. The trends in socioeconomic inequalities in health should be carefully monitored, and comprehensive measures to alleviate health inequalities are needed, especially for young populations.
Objectives: Subjective life expectancy (SLE) has been found to show a significant association with mortality. In this study, we aimed to investigate the major factors affecting SLE. We also examined whether any differences existed between SLE and actuarial life expectancy (LE) in Korea. Methods: A cross-sectional survey of 1000 individuals in Korea aged 20-59 was conducted. Participants were asked about SLE via a self-reported questionnaire. LE from the National Health Insurance database in Korea was used to evaluate differences between SLE and actuarial LE. Age-adjusted least-squares means, correlations, and regression analyses were used to test the relationship of SLE with four categories of predictors: demographic factors, socioeconomic factors, health behaviors, and psychosocial factors. Results: Among the 1000 participants, women (mean SLE, 83.43 years; 95% confidence interval, 82.41 to 84.46 years; 48% of the total sample) had an expected LE 1.59 years longer than that of men. The socioeconomic factors of household income and housing arrangements were related to SLE. Among the health behaviors, smoking status, alcohol status, and physical activity were associated with SLE. Among the psychosocial factors, stress, self-rated health, and social connectedness were related to SLE. SLE had a positive correlation with actuarial estimates (r=0.61, p<0.001). Gender, household income, history of smoking, and distress were related to the presence of a gap between SLE and actuarial LE. Conclusions: Demographic factors, socioeconomic factors, health behaviors, and psychosocial factors showed significant associations with SLE, in the expected directions. Further studies are needed to determine the reasons for these results.
The study analyzes divorce rates in Korea and makes suggestions for the future research of divorce rates. Based on the data from Korea Statistical Information System (KOSIS) of the National Statistics Organization, trends for divorce rates change and the relations between divorce rates and macro environmental factors are analyzed. Macro environmental factors include socioeconomic factors such as, Korean War, Vietnam War, oil shock, IMP economic crisis and gross national income (GNI), whereas demographical factors include population structure, rates of female labor participation, and geographical location. The principle characteristics of divorce rates are as follows: 1) the Crude divorce rates (CDR) and the number of divorced had been increased from 1970 to 2004, then the trend changed to a decrease; 2) the slope of the change were the highest during 1998 to 2004 after the IMP economic crisis. The relations between socioeconomic factors are as follows: 1) during the war there was a small increase of CDR for a short period of time; 2) the economic crisis of the nation tend to increase the CDR, while the IMP economic crisis had a strong impact on an increase of CDR because of the interaction effect among the population structure, women's sex role changes as well as the level of standard of living. The increase in CDR from 1990 to 2000 can be explained partly by the population of baby Boomers passing through their marriage and divorce process. The number of population residing in the rural area and the middle class households, and the mobility of population also had an impact on the divorce rates changes. The recommendations for the future research were as follows: 1) the need to develop new divorce statistics that are based on a marriage cohort or a birth cohort because family behavior is a mixture of personal, social and political responses, and because CDR is not an accurate measure of divorce rate since it was influenced by population structure; 2) the need to include micro personal factors as well as macro social factors in a model to find an interaction effect between those variables.
Objectives : Bell's palsy is the most common acute facial paralysis but its causes still unclear. At present, one of the most widely accepted cause is viral infections, and generally socioeconomic factors influence the viral infections. The purpose of this study is to investigate the relationship of incidence of facial palsy with socioeconomic factors. Methods : Seventeen patients with a acute facial palsy, who volunteered and completed all of the assessment measures participated. Using data on 17 participants, we examined the independent contribution of education, income, and occupation to a risk factor of severe facial palsy. Severity of global facial impairment was assessed by the facial disability index (FDI), the house-brackmann facial nerve grading system, WHO quality of life - bref (WHOQOL-BREF) and visual analogue scale (VAS) about discomfort of life. Results : There was no correlation between severity of facial palsy and gender, marriage, education, or occupation. Age greater than 60 years (p<0.05), and low monthly income(p<0.05), poor self-rated health was associated with greater severity of idiopathic facial paralysis. Conclusions : The number of subjects with facial palsy in our study (n-17) was small, and therefore generalization to larger patient populations might be unwarranted. But according to the outcome, we suggest that socioeconomic factors, especially low monthly income influence severity of bell's palsy.
Shin, Jin Hee;Dupre, Matthew E.;Ostbye, Truls;Murphy, Gwen;Silberberg, Mina
Journal of Preventive Medicine and Public Health
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v.48
no.6
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pp.310-318
/
2015
Objectives: Previous studies have shown that overweight (including obesity) has increased significantly in Korea in recent decades. However, it remains unclear whether this change has been uniform among all Koreans and to what extent socioeconomic and behavioral factors have contributed to this increase. Methods: Changes in overweight were estimated using data from the 1998, 2001, 2005, 2007-2009, and 2010-2012 Korea National Health and Nutrition Examination Survey (n=55 761). Results: Overweight increased significantly among men but not among women between 1998 and 2012. Changes in socioeconomic and behavioral factors over the time period were not associated with overall trends for both men and women. However, we found significant differences in the prevalence of overweight relative to key risk factors. For men, overweight increased at a significantly greater rate among the non-exercising (predicted probability [PP] from 0.23 to 0.32] and high-calorie (PP from 0.18 to 0.37) groups compared to their active and lower-calorie counterparts, respectively. For women, overweight increased only among the non-exercising (PP from 0.27 to 0.28) and low-income (PP from 0.31 to 0.36) groups during this period. Conclusions: These findings suggest that programs aimed at reducing overweight should target Korean men and women in specific socioeconomic and behavioral risk groups differentially.
This study was conducted to investigate the bone mineral density (BMD) and the anthropometric measurements, socioeconomic factors, family history of osteoporosis and other environmental factors affecting BMD in children. One hundred sixty children (80 males, 80 females) in second grade of elementary school in Seoul were recruited; the mean age was 7.7 $\pm$ 0.47 years. Bone mineral density was measured in the lumbar spine (LS), femoral neck (FN), femoral trochanter (FT), and Ward's triangle (WT) by Dual Energy X-ray Absorptiometry (DEXA). Socioeconomic factors, family history of osteoporosis, and other environmental factors were assessed by questionnaire. Bone mineral densities of LS, FN, FT, and WT were 0.677, 0.637, 0.618, and 0.658 g/$\textrm{cm}^2$. BMD of boys was higher than that of girls (LS: 0.685 vs. 0.669, FN: 0.660 vs. 0.614, FT: 0.632 vs. 0.604, WT: 0.678 vs. 0.639 g/$\textrm{cm}^2$). Anthrometric measurements (height, weight relative body weight, circumference of waist and hip) were positively correlated with BMD. With increasing family income, BMD of LS was significantly lowered, and negative correlation was observed between mother's age at birth of subject and the BMD of FN. And the BMD of children with a family history of osteoporosis was significantly lower. However BMDs were not different by educational level of parents, family pattern, delivery term, birth weight, and type of feeding. Further studies are needed to clarify the factors affecting BMD of children and earlier age, included infants and even prenatal life. If any association is revealed and persist until the attainment of peak bone mass, osteoporosis prevention programs are needed to be start very early in the life cycle.
Kim, Tae Hyun;Lee, Min-Jee;Yoo, Ki-Bong;Han, Euna;Choi, Jae-Woo
Journal of Preventive Medicine and Public Health
/
v.48
no.3
/
pp.170-177
/
2015
Objectives: The goal of this study was to examine the association of various demographic and socioeconomic factors with risk factors for chronic kidney disease (CKD). Methods: We used nationally representative pooled data from the Korea National Health and Nutrition Examination Survey (KNHANES), 2007-2013. We estimated the glomerular filtration rate (GFR) using the Modification of Diet in Renal Disease equation. We defined CKD as a GFR <60 mL/min/$1.73m^2$, and 1304 of the 45 208 individuals included in the KNHANES were found to have CKD by this definition. The outcome variable was whether individual subjects adhered to the CKD prevention and management guidelines recommended by the Korea Centers for Disease Control and Prevention. The guidelines suggest that individuals maintain a normal weight, abstain from alcohol consumption and smoking, manage diabetes and hypertension, and engage in regular exercise in order to prevent and manage CKD. Results: This study found that individuals with CKD were more likely to be obese and have hypertension or diabetes than individuals without CKD. In particular, male and less-educated CKD patients were less likely to adhere to the guidelines. Conclusions: Although the prevalence of CKD, as indicated by the KNHANES data, decreased from 2007 to 2013, the prevalence of most risk factors associated with CKD fluctuated over the same time period. Since a variety of demographic and socioeconomic factors are related to the successful implementation of guidelines for preventing and managing CKD, individually tailored prevention activities should be developed.
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