Levula Andrew, Harré Michael, Wilson Andrew
Complex Systems Research Group, Faculty of Engineering and Information Technology, The University of Sydney, Sydney, Australia.
Menzies Centre for Health Policy, School of Public Health, The University of Sydney, Sydney, Australia.
Community Ment Health J. 2018 Aug;54(6):842-854. doi: 10.1007/s10597-017-0195-7. Epub 2017 Nov 10.
This study examines whether social network factors influence individual's depression and anxiety outcomes at different life stages. Data was drawn from the Household, Income and Labour Dynamics in Australia survey. Hierarchical regression modelling was applied to examine the effects within and across different life stages. The depression and anxiety measures were taken from the Kessler Psychological Distress Scale (K10) and the social network factors were taken from the self-completion questionnaire. With the exception of social trust in seniors, the social network factors were significant predictors of depression and anxiety. This has practical implications for the design of social policy initiatives.
本研究考察了社交网络因素是否会在不同人生阶段影响个体的抑郁和焦虑状况。数据取自澳大利亚家庭、收入与劳动力动态调查。采用分层回归模型来检验不同人生阶段内以及不同人生阶段间的影响。抑郁和焦虑测量指标取自凯斯勒心理困扰量表(K10),社交网络因素取自自填问卷。除了老年人的社会信任外,社交网络因素是抑郁和焦虑的重要预测指标。这对社会政策倡议的设计具有实际意义。