다년도 자료를 이용한 나주시의 지역 내 우울증 영향요인: 도시와 농촌 지역을 중심으로 비교

In this study, we distinguished urban and rural areas in Naju-si, Jeollanam-do, grasped the characteristics of those areas, and investigated the depression-related factors in Naju-si based on this. This study used Community Health Survey data from 2017 to 2019. To investigate the factors affecting t...

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Published inHealth policy and management Vol. 32; no. 1; pp. 14 - 20
Main Authors 조경희, Kyung-hee Jo, 류소연, So Yeon Ryu
Format Journal Article
LanguageKorean
Published 한국보건행정학회 31.03.2022
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ISSN1225-4266
2289-0149

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Abstract In this study, we distinguished urban and rural areas in Naju-si, Jeollanam-do, grasped the characteristics of those areas, and investigated the depression-related factors in Naju-si based on this. This study used Community Health Survey data from 2017 to 2019. To investigate the factors affecting the depression in Naju-si local residents, the odds ratio was calculated using a complex sample logistic regression model. As a result of confirming the factors affecting the prevalence of depression in Naju-si residents, the risk of depression was significantly higher at 1.59 (95% confidence interval [CI], 1.02-2.50) for women, 2.14 (95% CI, 1.20-3.83) for recipients of basic livelihoods, 2.35 (95% CI, 1.46-3.79) for those who did not practice walking, and 2.00 (95% CI, 1.23-3.26) for those who slept less than 5 hours. It is necessary to select high-risk groups as a regional-specific project to resolve the mental health disparities in Naju-si and to intervene in early depression prevention through support for mental health support services.
AbstractList In this study, we distinguished urban and rural areas in Naju-si, Jeollanam-do, grasped the characteristics of those areas, and investigated the depression-related factors in Naju-si based on this. This study used Community Health Survey data from 2017 to 2019. To investigate the factors affecting the depression in Naju-si local residents, the odds ratio was calculated using a complex sample logistic regression model. As a result of confirming the factors affecting the prevalence of depression in Naju-si residents, the risk of depression was significantly higher at 1.59 (95% confidence interval [CI], 1.02-2.50) for women, 2.14 (95% CI, 1.20-3.83) for recipients of basic livelihoods, 2.35 (95% CI, 1.46-3.79) for those who did not practice walking, and 2.00 (95% CI, 1.23-3.26) for those who slept less than 5 hours. It is necessary to select high-risk groups as a regional-specific project to resolve the mental health disparities in Naju-si and to intervene in early depression prevention through support for mental health support services.
In this study, we distinguished urban and rural areas in Naju-si, Jeollanam-do, grasped the characteristics of those areas, andinvestigated the depression-related factors in Naju-si based on this. This study used Community Health Survey data from 2017 to2019. To investigate the factors affecting the depression in Naju-si local residents, the odds ratio was calculated using a complexsample logistic regression model. As a result of confirming the factors affecting the prevalence of depression in Naju-si residents, therisk of depression was significantly higher at 1.59 (95% confidence interval [CI], 1.02–2.50) for women, 2.14 (95% CI, 1.20–3.83) forrecipients of basic livelihoods, 2.35 (95% CI, 1.46–3.79) for those who did not practice walking, and 2.00 (95% CI, 1.23–3.26) for thosewho slept less than 5 hours. It is necessary to select high-risk groups as a regional-specific project to resolve the mental healthdisparities in Naju-si and to intervene in early depression prevention through support for mental health support services. KCI Citation Count: 0
Author 조경희
Kyung-hee Jo
류소연
So Yeon Ryu
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DocumentTitleAlternate 다년도 자료를 이용한 나주시의 지역 내 우울증 영향요인: 도시와 농촌 지역을 중심으로 비교
Factors Influencing Depression in Naju-Si Using Multi-Year Data: Comparison Focusing on Urban and Rural Areas
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Keywords Depression
Health inequality
Community Health Survey
Health disparities
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SubjectTerms Community Health Survey
Depression
Health disparities
Health inequality
예방의학
Title 다년도 자료를 이용한 나주시의 지역 내 우울증 영향요인: 도시와 농촌 지역을 중심으로 비교
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