• Journal of the Korean Society of Child Welfare
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• no.26
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• pp.113-137
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• 2008

Present study investigated the effects of poverty and poverty-co-factors in childhood. The effect of poverty status was measured by needs-income ratio. It compared its effect on children's socio-emotional development with that of poverty proxy variables such as recipient of public assistance, financial stress, subjective perception about social class, residence in public housing. It also examined the effects of poverty-co-factors after poverty status were controlled. Results show that poverty status has a more consistent negative relationship with socio-emotional development than other proxy variables. However, the relationship between them disappeared after poverty-co-factors were controlled. Findings from the present study suggest that targeted efforts for decreasing poverty-co-factor risks should be made along with financial support.

• Journal of Nutrition and Health
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• v.39 no.7
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• pp.684-691
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• 2006

Abdominal obesity (AO) is a strong risk factor for type 2 diabetes and cardiovascular disease, which has shown a remarkable increase in Korea. This study aimed to identify prevalence of AO and related risk factors in Korean adults. A total of 5,132 men and women aged 20-85 years old from the 2001 Korean National Health and Nutrition Examination Survey were included in the analyses. AO was defined as waist circumference >=90 cm in men and >=85 cm in women as proposed by Korean Society of Obesity. Multiple logistic regression was carried out to identify risk factors for AO. Three models were specified: (i) demographic and socioeconomic factors (model 1: age, education, poverty income ratio, employment), (ii) lifestyle factors and covariates (model 2: physical activity, cigarette smoking, alcohol consumption, dietary quality, type 2 diabetes, co-morbidity) and (iii) demographic, socioeconomic and lifestyle factors (model 3). The prevalence of AO was 24.1 % in men, 23.5% in women. High poverty income ratio in men and low education attainment in women were risk factors for AO in model. 1. There was a significant association of AO with alcohol consumption, physical inactivity and dietary quality in men, alcohol consumption and cigarette smoking in women. These factors except alcohol consumption in men became insignificant in model 3. This findings underscore the importance of developing AO prevention programs in Korea that target the at risk groups identified in this study. A program focusing on low income men or less educated women would be more efficient.

• Advances in environmental research
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• v.1 no.4
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• pp.277-288
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• 2012

This study investigated exposure to air pollutants in rooms in low-income houses at Shomolu (R1), Mafoluku (R2) and Mushin (R3) in Lagos state. The concentrations of most measured exceeded limits of Illinois Department of Public Health (IDPH) for indoor air quality. Air quality index (AQI) in rooms studied was unhealthy for sensitive people in terms of CO, unhealthy in terms of $SO_2$ and very unhealthy in terms of $NO_2$ while moderate air quality was obtained in terms of $PM_{10}$ in most rooms. High concentrations of carbontetrachloride, formaldehyde and xylene measured could have been responsible for some of the health complaints of the occupants. Factor analysis shows that cooking with kerosene, use of gasoline generator and insecticide were the major contributors to indoor air pollution in these rooms. Therefore, there is need to urgently tackle poverty as all affected by these pollutants were poor who live in substandard houses without kitchens.

• Nutrition Research and Practice
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• v.3 no.4
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• pp.286-294
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• 2009

This study aimed to identify risk factors for type 2 diabetes (T2D) in Korea, a rapidly changing country. Data of 5,132 adults aged 20-85 were used from the 2001 Korean Health and Nutrition Examination Survey. Multiple logistic regression was carried out to identify risk factors for T2D. Three models were specified: (i) socioeconomic and demographic factors (model 1: age, gender, education, poverty income ratio, employment), (ii) behavioral risk factors and covariates (model 2: obesity, physical activity, smoking, alcohol drinking, dietary quality, family history of T2D, co-morbidity) and (iii) socioeconomic, demographic, and behavioral factors (model 3). The prevalence of T2D was 7.4%. Less education (OR 1.41, 95% CI 1.08-1.84), age (OR 2.19, 95% CI 1.56-3.08 in 40-59 yrs, OR 4.05, 95% CI 2.76-5.95 in 60 yrs + comparing to 20-39 yrs) and abdominal obesity (OR 2.24, 95% CI 1.79-2.82) were risk factors for T2D even after controlling for other factors simultaneously. There was a significant association of T2D with ever smoking (OR 1.34, 95% CI 1.06-1.67). The relationship of age with T2D was modified by gender in model 1 and the relationship of smoking with T2D was modified by obesity in model 2. Less educated, older, obese or ever smokers were more likely to have T2D. Gender mediated the relationship of age, and obesity mediated the relationship of smoking, with T2D. Intervention programs for T2D in Korea should take the interactions among risk factors into account.