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Conference Paper: Significant Impacts of Built Environment on Public Housing Residents’ Suicide Rates: A 13-Year Natural Experiment

TitleSignificant Impacts of Built Environment on Public Housing Residents’ Suicide Rates: A 13-Year Natural Experiment
Authors
Keywordspublic housing
built environment
suicide
mental health
natural experiment
Issue Date2021
PublisherCouncil of Educators in Landscape Architecture.
Citation
2021 Annual Conference of the Council of Educators in Landscape Architecture (CELA,): 100 + 1 | Resilience, Virtual Conference, USA, 17-19 March 2021. In Conference Proceedings, p. 250 How to Cite?
AbstractSuicide is a global problem. It is known that socioeconomic and demographic factors influence suicide rates, but little is known about the impacts of built environment factors on suicide rates after controlling for self-selection bias. We explored this gap via a natural experiment conducted in 151 rent-only public housing communities in Hong Kong from 2005 to 2017, during which period there were 5,841 suicide deaths in these communities. The regulations of public-housing constituted a natural experiment with minimal self-selection bias. We conducted hierarchical regression analyses and found that built environment factors collectively have a significant association with suicide rates. Three significant environmental factors were identified: distance to the nearest urban center, distance to the nearest Mass Transit Railway station, and gross flat area per person. These findings demonstrate that the built environment plays a significant and independent role in predicting suicide rates. Environmental interventions to prevent suicide is necessary and pressing.
DescriptionPeople–Environment Relationships - no. 1086
Persistent Identifierhttp://hdl.handle.net/10722/309400

 

DC FieldValueLanguage
dc.contributor.authorJiang, B-
dc.contributor.authorShen, K-
dc.contributor.authorSullivan, WC-
dc.contributor.authorYang, YY-
dc.contributor.authorLiu, X-
dc.contributor.authorLu, Y-
dc.date.accessioned2021-12-29T02:14:35Z-
dc.date.available2021-12-29T02:14:35Z-
dc.date.issued2021-
dc.identifier.citation2021 Annual Conference of the Council of Educators in Landscape Architecture (CELA,): 100 + 1 | Resilience, Virtual Conference, USA, 17-19 March 2021. In Conference Proceedings, p. 250-
dc.identifier.urihttp://hdl.handle.net/10722/309400-
dc.descriptionPeople–Environment Relationships - no. 1086-
dc.description.abstractSuicide is a global problem. It is known that socioeconomic and demographic factors influence suicide rates, but little is known about the impacts of built environment factors on suicide rates after controlling for self-selection bias. We explored this gap via a natural experiment conducted in 151 rent-only public housing communities in Hong Kong from 2005 to 2017, during which period there were 5,841 suicide deaths in these communities. The regulations of public-housing constituted a natural experiment with minimal self-selection bias. We conducted hierarchical regression analyses and found that built environment factors collectively have a significant association with suicide rates. Three significant environmental factors were identified: distance to the nearest urban center, distance to the nearest Mass Transit Railway station, and gross flat area per person. These findings demonstrate that the built environment plays a significant and independent role in predicting suicide rates. Environmental interventions to prevent suicide is necessary and pressing.-
dc.languageeng-
dc.publisherCouncil of Educators in Landscape Architecture. -
dc.relation.ispartof2021 Annual Conference of the Council of Educators in Landscape Architecture (CELA)-
dc.subjectpublic housing-
dc.subjectbuilt environment-
dc.subjectsuicide-
dc.subjectmental health-
dc.subjectnatural experiment-
dc.titleSignificant Impacts of Built Environment on Public Housing Residents’ Suicide Rates: A 13-Year Natural Experiment-
dc.typeConference_Paper-
dc.identifier.emailJiang, B: jiangbin@hku.hk-
dc.identifier.emailLiu, X: liuxm111@HKUCC-COM.hku.hk-
dc.identifier.authorityJiang, B=rp01942-
dc.identifier.hkuros331335-
dc.identifier.spage250-
dc.identifier.epage250-
dc.publisher.placeUnited States-

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