지역사회 1인 가구의 특성이 건강행동에 미치는 영향: 서울시 2개 자치구 비교
Analyzing differences in health behaviors of one-person and multi-person households based on gender and age: Comparison between two districts in Seoul city, South Korea
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Objectives: This study aims to compare health behaviors of one-person and multi-person households between two districts in Seoul to identify the causes of community differences in health behaviors. Methods: Two districts (Districts A and B) in Seoul with similar levels of economic development but different levels of health outcomes were selected. Community health survey data (2018-2020) revealing the health behaviors of the two districts’residents were used. The general characteristics and health behaviors of one-person and multi-person households were compared between the two districts using a chi-test. After controlling for socio-economic level, logistic regression analysis was performed considering sex and age of the household members. Results: The results showed that one-person households in district A were less likely to practice non-smoking and low-risk drinking than multi-person households but engaged in more walking. In District B, one-person households were ahead of multi-person households in practicing various health behaviors, including low-risk drinking and walking, except non-smoking. Young one-person households in District A practiced less healthy living, non-smoking, and low-risk drinking than multi-person households. Among young women and middle-aged people in District B, one-person households practiced less healthy living, non-smoking, and walking than multi-person households. Conclusion: It was confirmed that differences in health behaviors between one-person and multi-person households can further be understood by including socio-demographic characteristics such as age and gender in the analysis.
Abstract
Objectives: This study aims to compare health behaviors of one-person and multi-person households between two districts in Seoul to identify the causes of community differences in health behaviors. Methods: Two districts (Districts A and B) in Seoul with similar levels of economic development but different levels of health outcomes were selected. Community health survey data (2018-2020) revealing the health behaviors of the two districts’residents were used. The general characteristics and health behaviors of one-person and multi-person households were compared between the two districts using a chi-test. After controlling for socio-economic level, logistic regression analysis was performed considering sex and age of the household members. Results: The results showed that one-person households in district A were less likely to practice non-smoking and low-risk drinking than multi-person households but engaged in more walking. In District B, one-person households were ahead of multi-person households in practicing various health behaviors, including low-risk drinking and walking, except non-smoking. Young one-person households in District A practiced less healthy living, non-smoking, and low-risk drinking than multi-person households. Among young women and middle-aged people in District B, one-person households practiced less healthy living, non-smoking, and walking than multi-person households. Conclusion: It was confirmed that differences in health behaviors between one-person and multi-person households can further be understood by including socio-demographic characteristics such as age and gender in the analysis.
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