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 in | Health policy and management Vol. 32; no. 1; pp. 14 - 20 |
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Main Authors | , , , |
Format | Journal Article |
Language | Korean |
Published |
한국보건행정학회
31.03.2022
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Subjects | |
Online Access | Get full text |
ISSN | 1225-4266 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. |
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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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