• Journal of Preventive Medicine and Public Health
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• 제54권4호
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• pp.265-274
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• 2021

Objectives: Given the importance of social determinants of health in promoting the health of slum residents, this study was conducted with the aim of identifying the main dimensions and components of these determinants. Methods: This scoping review study was conducted according to the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews). A comprehensive search was performed of PubMed, ProQuest, Scopus, and Web of Science for articles conducted from 2010 to the end of 2019. Studies were selected based on inclusion criteria, with a special focus on studies dealing with the social determinants of physical and mental health or illness. Results: Thirty-three articles were selected to extract information on the social determinants of health. After reviewing the articles, 7 main dimensions (housing, socioeconomic status of the family, nutrition, neighborhood characteristics, social support and social capital, occupational factors, and health behaviors) and 87 components were extracted as social determinants of health among slum dwellers. Conclusions: This framework could be used by planners, managers, and policy-makers when making decisions affecting the health of these settlements' residents due to the common characteristics of slums around the world, especially in developing countries.

• Journal of Preventive Medicine and Public Health
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• 제54권2호
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• pp.129-136
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• 2021

Objectives: This study examined demographic factors hampering access to healthcare at hospitals and suggests policy approaches to improve healthcare management in Thailand. Methods: The data for the study were drawn from a health and welfare survey conducted by the National Statistical Office of Thailand in 2017. The population-based health and welfare survey was systematically carried out by skilled interviewers, who polled 21 519 384 individuals. The independent variables related to demographic data (age, sex, religion, marital status, education, occupation, and area of residence), chronic diseases, and health insurance coverage. The dependent variable was the degree of access to healthcare. Multiple logistic regression analysis was subsequently performed on the variables found to be significant in the univariate analysis. Results: Only 2.5% of the population did not visit a hospital when necessary for outpatient-department treatment, hospitalization, or the provision of oral care. The primary reasons people gave for not availing themselves of the services offered by government hospitals when they were ill were-in descending order of frequency-insufficient time to seek care, long hospital queues, travel inconvenience, a lack of hospital beds, unavailability of a dentist, not having someone to accompany them, and being unable to pay for the transportation costs. Multiple logistic regression analysis showed that failure to access the health services provided at hospitals was associated with demographic, educational, occupational, health welfare, and geographic factors. Conclusions: Accessibility depends not only on health and welfare benefit coverage, but also on socioeconomic factors and the degree of convenience associated with visiting a hospital.

• 대한지역사회영양학회지
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• 제20권6호
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• pp.411-422
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• 2015

Objectives: This study investigated the socioeconomic factors that affect quality of life (QL) in healthy adults and to study the relationship between QL and health-related habits and food intake. Methods: Subjects consisted of 1,154 healthy adults without any known disease, aged 19 to 65 years from the 2013 Korean National Health and Nutrition Examination Survey data. We used SPSS statistical program version 20.0 for data analysis. Results: The average age and QL score of the study population were 36.7 years and 0.99 points, respectively. Males had a significantly higher QL score than the females (p < 0.001), and employed subjects and those employed in permanent positions had significantly higher scores as compared respectively with unemployed subjects and those employed in temporary positions (p < 0.001, p < 0.05). The group that responded "almost every day" to the "frequency of binge drinking" and "frequency of disruption of daily life due to drinking" had significantly lower QL scores as compared to other groups (p < 0.05). Further, the scores were significantly higher for individuals who practiced "intense physical activities" and "walking" (p < 0.001). The groups that responded that they were "very stressed" showed significantly lower QL scores in comparison to the other groups (p < 0.05). There were no significant differences in QL scores according to anthropometric or biochemical indices. When subjects were divided into two groups based on average QL scores, the frequency of intake of "barbecued beef" was significantly higher while the frequency of intake of "fried eggs or rolled omelet," and "soy milk" was significantly lower in the high QL group. Conclusions: Based on these findings, it is evident that in healthy adults without any known underlying illnesses, psychological factors such as economic activity, occupational environment, and stress are considered to have a greater impact on their QL than are nutrient intake, blood biochemical indices, and anthropometric status.