• Journal of Preventive Medicine and Public Health
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• 제39권5호
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• pp.371-378
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• 2006

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.

• The Journal of the Korea Contents Association
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• 제16권8호
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• pp.29-38
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• 2016

The purpose of this study is to investigate the relationship between Korean women's experience of anxiety & depression and socioeconomic level. We used Korea National Health and Nutrition Examination Survey VI-1 data. Study population were consisted of 3,453 female adults, and used a binary logistic regression analysis to identify the relationship between socioeconomic status factors and experience of anxiety & depression after adjusting health factors. It was identified the variables that affect experience symptoms of anxiety & depression is age, marital status, education, income level, economic activity, health condition and stress. Based on the analysis, Korean women's socioeconomic level and anxiety & depression experience concluded to be associated. Thus, the program for low income, unemployed and low educated level women is needed.

• Pediatric Gastroenterology, Hepatology & Nutrition
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• 제23권5호
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• pp.447-456
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• 2020

Purpose: Food insecurity, which is the inability to obtain food or inadequate food consumption in terms of quality and quantity, has physical and psychological consequences on children's health. This study aimed to investigate the relationship between children's growth disorders and food insecurity in Qazvin city, Iran. Methods: A case-control study was conducted on 177 cases and 355 controls of children aged 3 to 6 years, who were referred to health centers in Qazvin city. The case group consisted of children with growth disorders. Data were obtained with the 18-item US Department of Agriculture questionnaire, a household socioeconomic questionnaire, a and growth monitoring card. The data were analyzed with using IBM SPSS Version 22.0, by independent sample t-test, chi-square test, and logistic regression. Results: A significant relationship was found between children's growth disorders and household food insecurity with (p<0.05, odds ratio [OR]=17.0, confidence interval [CI]=5.9, 48.8) and without hunger (p<0.05, OR=2.69, CI=1.4, 4.9). There were also significant relationships between children's growth disorders and socioeconomic status (p<0.05, OR=3.4, CI=1.4, 8.5), the duration of breastfeeding (p<0.05, OR=0.94, CI=0.9, 0.98), and children's ages (p<0.05, OR=0.94, CI=0.92, 0.96). Sex and birth order, and the age of the parents was not found to be significantly related with growth disorders. Conclusion: Lower socioeconomic status and household food insecurity were the important predictors of children's growth disorders. Policymakers should focus more on promoting steady employment and income among family members. Nutritional education for mothers is also recommended, in order to better meet the nutritional needs of the children.

• Journal of Preventive Medicine and Public Health
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• 제50권4호
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• pp.240-250
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• 2017

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.

• Journal of Preventive Medicine and Public Health
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• 제51권5호
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• pp.219-226
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• 2018

Objectives: This study aimed to explain the health-related quality of life (HRQoL) gap between the poorest and the wealthiest quintiles in the capitals of Kermanshah and Kurdistan Provinces (Kermanshah and Sanandaj), in western Iran. Methods: This was a cross-sectional study conducted among 1772 adults. Data on socio-demographic characteristics, socioeconomic status (SES), lifestyle factors, body mass index, and HRQoL of participants were collected using a self-administered questionnaire. The slope and relative indices of inequality (SII and RII, respectively) were employed to examine socioeconomic inequality in poor HRQoL. Blinder-Oaxaca (BO) decomposition was used to quantify the contribution of explanatory variables to the gap in the prevalence of poor HRQoL between the wealthiest and the poorest groups. Results: The overall crude and age-adjusted prevalence of poor HRQoL among adults was 32.0 and 41.8%, respectively. The SII and RII indicated that poor HRQoL was mainly concentrated among individuals with lower SES. The absolute difference (%) in the prevalence of poor HRQoL between the highest and lowest SES groups was 28.4. The BO results indicated that 49.9% of the difference was explained by different distributions of age, smoking behavior, physical inactivity, chronic health conditions, and obesity between the highest and lowest SES groups, while the remaining half of the gap was explained by the response effect. Conclusions: We observed a pro-rich distribution of poor HRQoL among adults in the capitals of Kermanshah and Kurdistan Provinces. Policies and strategies aimed at preventing and reducing smoking, physical inactivity, chronic health conditions, and obesity among the poor may reduce the gap in poor HRQoL between the highest and lowest SES groups in Iran.

• Journal of Korean society of Dental Hygiene
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• 제19권4호
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• pp.565-575
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• 2019

Objectives: In this study, both subjective and objective levels of oral health were used to identify the relationship between oral health inequalities. Methods: Korean National Health and Nutritional Examination Survey data from 2013 to 2015 were combined to create an analysis plan. Oral health questions categorized as subjective oral health conditions and oral health-related diseases used dental tissue disease status as data measured by the Community Periodical Index(CPI) and decayed, missing, filled teeth(DMFT) experience. Other data on oral health behaviors such as toothache experience, the frequency of toothbrush use, chewing problems, oral examination status, and unmet dental care needs were classified and analyzed according to the socioeconomic level. Data were analyzed using frequency and cross analyses, and the statistical significance level was set at 0.05. Results: It was found that higher the economic and educational level, better was the subjective oral health, lower the CPI, lower the experience of toothache, higher the frequency of toothbrush use, lower the number of people having chewing problems, and higher the frequency of oral checkups. Conclusions: Oral health inequality exists among social classes. It is suggested that continuous research and efforts be carried out to promote oral health while considering socioeconomic and educational levels. Further, active government efforts will be needed to address polarization by social class.

• Proceedings of The Korean Society of Health Promotion Conference
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• 한국보건교육건강증진학회 2005년도 제30회 보건학종합학술대회
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• pp.281-282
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• 2005

• The Korean journal of internal medicine
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• 제39권4호
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• pp.545-546
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• 2024

• Women's Health Nursing
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• 제28권1호
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• pp.38-45
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• 2022

Purpose: Various individual and social factors influence depression in pregnant women. The purpose of this study was to identify the influence of socioeconomic status, health behaviors, and health status on depression of pregnant women in Korea. Methods: This study analyzed data from the 2019 Korean Community Health Survey conducted from August to October 2019. A structural questionnaire with Patient Health Quetsionnaire-9 (PHQ-9), health behavior, health status, and psychological characteristics was used. The data of 1,096 pregnant women between the ages of 19 and 55 years were analyzed using descriptive statistics, independent-test and chi-square tests, and multiple regression. Results: The mean score of prenatal depression as measured by the PHQ-9 during pregnancy was 2.35 points out of 0 to 27 points. Low income (B=0.69, p<.001), low-education level (B=0.70, p<.001), skipping breakfast (B=0.34, p=.001), less than 8 hours of sleeping (B=0.26, p=.009), binge drinking during pregnancy (B=0.46, p=.001), and stress (B=1.89, p<.001) were significantly associated with increased depression scores. In contrast, depression scores significantly decreased as subjective health status (B=-0.59, p<.001) and subjective oral health status (B=-.17, p=.003) increased. Conclusion: Findings support the need for healthcare policies and clinical screening to alleviate prenatal depression, especially for pregnant women with low socioeconomic status, poor health behavior, poor health status, and high stress.

• Journal of Community Nutrition
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• 제8권1호
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• pp.38-43
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• 2006

There were numerous evidences that subjective health evaluation was a powerful indicator for morbidity and mortality in many countries. Since self-rated health (SRH) was a reasonable health measure, identifying predictors for SRH would be beneficial for assessment of overall health, monitoring health status, and development of health promotion programs. Health risks, health behavior, socioeconomic characteristics and social capital were potential indicators for SRH. We examined association. between SRH and indicators such as health risk factors, subjective living condition, income, education level and dietary variety score. Total 4,262 subjects, aged between 20 and 69 years old, were selected from KNHANES 2001; those who completed health examination, nutrition survey, and provided their socioeconomic information. Results of logistic regression showed that it was likely to have better SRH for those who were younger, male and have higher education, higher income, better living condition, no metabolic syndrome and higher dietary variety.