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

• 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
• Institution: National University of Singapore

10.3390/ijerph14090994