Bowling A, Farquhar M
Department Public Health and Policy, London School of Hygiene and Tropical Medicine, UK.
Soc Psychiatry Psychiatr Epidemiol. 1991 May;26(3):115-26. doi: 10.1007/BF00782950.
The effects of social network structure, support and physical health status on psychiatric morbidity were investigated among 1415 people over retirement age who took part in three independent but comparable surveys in London (urban area) and Essex (semi rural area). Multivariate analysis showed that the model explained between 14.3% and 28.6% of the variation in psychiatric morbidity in the three samples. Poor health status was a more powerful predictor of psychiatric morbidity than the social network variables. Age and sex contributed little to the model. The model was strongest among the two samples of Hackney respondents.
在1415名退休年龄以上的人群中，研究了社交网络结构、支持与身体健康状况对精神疾病发病率的影响，这些人参与了伦敦（市区）和埃塞克斯（半农村地区）的三项独立但可比的调查。多变量分析表明，该模型解释了三个样本中精神疾病发病率14.3%至28.6%的变异。健康状况不佳比社交网络变量更能有力地预测精神疾病发病率。年龄和性别对该模型贡献不大。该模型在哈克尼受访者的两个样本中最为显著。
