Tae-Ho Yoon1, Maengseok Noh2, Junhee Han3, Kyunghee Jung-Choi4, Young-Ho Khang5,6. 1. Department of Preventive and Occupational Medicine, Pusan National University School of Medicine, Yangsan, South Korea. 2. Department of Statistics, Pukyung National University, Busan, South Korea. 3. Research and Statistical Support Unit, Research Institute of Convergence for Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan, South Korea. 4. Department of Preventive Medicine, Ewha Womans University School of Medicine, Seoul, South Korea. 5. Department of Health Policy and Management, Seoul National University College of Medicine, 103 Daehak-ro, Jongno-gu, Seoul, 110-799, South Korea. yhkhang@snu.ac.kr. 6. Institute of Health Policy and Management, Seoul National University Medical Research Center, Seoul, South Korea. yhkhang@snu.ac.kr.
Abstract
OBJECTIVES: A neighborhood-level analysis of mortality from suicide would be informative in developing targeted approaches to reducing suicide. This study aims to examine the association of community characteristics with suicide in the 424 neighborhoods of Seoul, South Korea. METHODS: Neighborhood-level mortality and population data (2005-2011) were obtained to calculate age-standardized suicide rates. Eight community characteristics and their associated deprivation index were employed as determinants of suicide rates. The Bayesian hierarchical model with mixed effects for neighborhoods was used to fit age-standardized suicide rates and other covariates with consideration of spatial correlations. RESULTS: Suicide rates for 424 neighborhoods were between 7.32 and 71.09 per 100,000. Ninety-nine percent of 424 neighborhoods recorded greater suicide rates than the Organization for Economic Cooperation and Development member countries' average. A stepwise relationship between area deprivation and suicide was found. Neighborhood-level indicators for lack of social support (residents living alone and the divorced or separated) and socioeconomic disadvantages (low educational attainment) were positively associated with suicide mortality after controlling for other covariates. CONCLUSIONS: Finding from this study could be used to identify priority areas and to develop community-based programs for preventing suicide in Seoul, South Korea.
OBJECTIVES: A neighborhood-level analysis of mortality from suicide would be informative in developing targeted approaches to reducing suicide. This study aims to examine the association of community characteristics with suicide in the 424 neighborhoods of Seoul, South Korea. METHODS: Neighborhood-level mortality and population data (2005-2011) were obtained to calculate age-standardized suicide rates. Eight community characteristics and their associated deprivation index were employed as determinants of suicide rates. The Bayesian hierarchical model with mixed effects for neighborhoods was used to fit age-standardized suicide rates and other covariates with consideration of spatial correlations. RESULTS: Suicide rates for 424 neighborhoods were between 7.32 and 71.09 per 100,000. Ninety-nine percent of 424 neighborhoods recorded greater suicide rates than the Organization for Economic Cooperation and Development member countries' average. A stepwise relationship between area deprivation and suicide was found. Neighborhood-level indicators for lack of social support (residents living alone and the divorced or separated) and socioeconomic disadvantages (low educational attainment) were positively associated with suicide mortality after controlling for other covariates. CONCLUSIONS: Finding from this study could be used to identify priority areas and to develop community-based programs for preventing suicide in Seoul, South Korea.
Authors: Maria Angela Vigotti; Francesca Mataloni; Antonella Bruni; Caterina Minniti; Emilio A L Gianicolo Journal: Int J Public Health Date: 2014-04-24 Impact factor: 3.380
Authors: C Hyung Keun Park; Jae Won Lee; Sang Yeol Lee; Jungjoon Moon; Se Hoon Shim; Jong Woo Paik; Shin Gyeom Kim; Seong Jin Cho; Min Hyuk Kim; Seokho Kim; Jae Hyun Park; Sungeun You; Hong Jin Jeon; Yong Min Ahn Journal: J Korean Med Sci Date: 2017-09 Impact factor: 2.153
Authors: Miriam Marco; Antonio López-Quílez; David Conesa; Enrique Gracia; Marisol Lila Journal: Int J Environ Res Public Health Date: 2017-07-06 Impact factor: 3.390
Authors: Ana C Alarcão; Cátia M Dell' Agnolo; João R Vissoci; Elias C A Carvalho; Catherine A Staton; Luciano de Andrade; Kátia B Fontes; Sandra M Pelloso; Júlio C Nievola; Maria D Carvalho Journal: Braz J Psychiatry Date: 2020 Jan-Feb Impact factor: 2.697