Guo, YingqiYingqiGuoSHU-SEN CHANGChan, Chee HonChee HonChanChang, QingsongQingsongChangHsu, Chia-YuehChia-YuehHsuYip, Paul S FPaul S FYip2020-03-272020-03-272020-020143-005Xhttps://scholars.lib.ntu.edu.tw/handle/123456789/480610Previous studies investigating the independent effects of neighbourhood-level factors on depression are rare within the Asian context, especially in the elderly population.enHong Kong; depression; multilevel analysis; neighbourhood[SDGs]SDG3elderly population; individual-based model; multivariate analysis; neighborhood; poverty; recreational activity; regression analysis; urban policy; China; Hong Kong; aged; cross-sectional study; daily life activity; demography; depression; environmental planning; ethnology; female; human; male; middle aged; multilevel analysis; poverty; psychology; risk factor; social class; social environment; socioeconomics; very elderly; walking; Activities of Daily Living; Aged; Aged, 80 and over; Built Environment; Cross-Sectional Studies; Depression; Environment Design; Female; Humans; Male; Middle Aged; Multilevel Analysis; Poverty; Poverty Areas; Residence Characteristics; Risk Factors; Social Class; Social Environment; Socioeconomic Factors; Walkingjournal article10.1136/jech-2019-212977316766672-s2.0-85074496326WOS:000507911300005https://www.scopus.com/inward/record.uri?eid=2-s2.0-85074496326&doi=10.1136%2fjech-2019-212977&partnerID=40&md5=783a58485ef54f4cfe97aba0b8158cbf