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

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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Bibliographic Details
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

Description
Summary:	10.3390/ijerph14090994