Spatial variability of geriatric depression risk in a high-density city: A data-driven socio-environmental vulnerability mapping approach

10.3390/ijerph14090994

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Main Authors:	Ho, H.C, Lau, K.K.-L, Yu, R, Wang, D, Woo, J, Kwok, T.C.Y, Ng, E
Other Authors:	FINANCE
Format:	Article
Published:	MDPI 2020
Subjects:	environmental factor health risk mapping mental health neighborhood quality of life socioeconomic conditions spatial analysis spatial variation urban area vulnerability aged Article building city cohort analysis controlled study cross-sectional study female Hong Kong human late life depression male risk social aspect social status demography depression middle aged psychology risk factor statistical model China Aged Cross-Sectional Studies Depression Female Humans Logistic Models Male Middle Aged Residence Characteristics Risk Factors Spatial Analysis
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/183506
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Institution:	National University of Singapore

id	sg-nus-scholar.10635-183506
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spelling	sg-nus-scholar.10635-1835062024-04-04T00:33:49Z Spatial variability of geriatric depression risk in a high-density city: A data-driven socio-environmental vulnerability mapping approach Ho, H.C Lau, K.K.-L Yu, R Wang, D Woo, J Kwok, T.C.Y Ng, E FINANCE environmental factor health risk mapping mental health neighborhood quality of life socioeconomic conditions spatial analysis spatial variation urban area vulnerability aged Article building city cohort analysis controlled study cross-sectional study environmental factor female Hong Kong human late life depression male neighborhood risk social aspect social status urban area demography depression middle aged psychology risk factor spatial analysis statistical model China Hong Kong Aged Cross-Sectional Studies Depression Female Hong Kong Humans Logistic Models Male Middle Aged Residence Characteristics Risk Factors Spatial Analysis 10.3390/ijerph14090994 International Journal of Environmental Research and Public Health 14 9 994 2020-11-17T04:39:18Z 2020-11-17T04:39:18Z 2017 Article Ho, H.C, Lau, K.K.-L, Yu, R, Wang, D, Woo, J, Kwok, T.C.Y, Ng, E (2017). Spatial variability of geriatric depression risk in a high-density city: A data-driven socio-environmental vulnerability mapping approach. International Journal of Environmental Research and Public Health 14 (9) : 994. ScholarBank@NUS Repository. https://doi.org/10.3390/ijerph14090994 1661-7827 https://scholarbank.nus.edu.sg/handle/10635/183506 Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ MDPI Unpaywall 20201031
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	environmental factor health risk mapping mental health neighborhood quality of life socioeconomic conditions spatial analysis spatial variation urban area vulnerability aged Article building city cohort analysis controlled study cross-sectional study environmental factor female Hong Kong human late life depression male neighborhood risk social aspect social status urban area demography depression middle aged psychology risk factor spatial analysis statistical model China Hong Kong Aged Cross-Sectional Studies Depression Female Hong Kong Humans Logistic Models Male Middle Aged Residence Characteristics Risk Factors Spatial Analysis
spellingShingle	environmental factor health risk mapping mental health neighborhood quality of life socioeconomic conditions spatial analysis spatial variation urban area vulnerability aged Article building city cohort analysis controlled study cross-sectional study environmental factor female Hong Kong human late life depression male neighborhood risk social aspect social status urban area demography depression middle aged psychology risk factor spatial analysis statistical model China Hong Kong Aged Cross-Sectional Studies Depression Female Hong Kong Humans Logistic Models Male Middle Aged Residence Characteristics Risk Factors Spatial Analysis Ho, H.C Lau, K.K.-L Yu, R Wang, D Woo, J Kwok, T.C.Y Ng, E Spatial variability of geriatric depression risk in a high-density city: A data-driven socio-environmental vulnerability mapping approach
description	10.3390/ijerph14090994
author2	FINANCE
author_facet	FINANCE Ho, H.C Lau, K.K.-L Yu, R Wang, D Woo, J Kwok, T.C.Y Ng, E
format	Article
author	Ho, H.C Lau, K.K.-L Yu, R Wang, D Woo, J Kwok, T.C.Y Ng, E
author_sort	Ho, H.C
title	Spatial variability of geriatric depression risk in a high-density city: A data-driven socio-environmental vulnerability mapping approach
title_short	Spatial variability of geriatric depression risk in a high-density city: A data-driven socio-environmental vulnerability mapping approach
title_full	Spatial variability of geriatric depression risk in a high-density city: A data-driven socio-environmental vulnerability mapping approach
title_fullStr	Spatial variability of geriatric depression risk in a high-density city: A data-driven socio-environmental vulnerability mapping approach
title_full_unstemmed	Spatial variability of geriatric depression risk in a high-density city: A data-driven socio-environmental vulnerability mapping approach
title_sort	spatial variability of geriatric depression risk in a high-density city: a data-driven socio-environmental vulnerability mapping approach
publisher	MDPI
publishDate	2020
url	https://scholarbank.nus.edu.sg/handle/10635/183506
_version_	1795374603624775680

Spatial variability of geriatric depression risk in a high-density city: A data-driven socio-environmental vulnerability mapping approach

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