Shao Ping, Xu Yong, Pan Chen-Wei
School of Public Health, Medical College of Soochow University, China.
Department of Health Management, Medical College of Hangzhou Normal University, China.
S Afr J Psychiatr. 2017 Mar 28;23:1064. doi: 10.4102/sajpsychiatry.v23i0.1064. eCollection 2017.
Mental health problems have become serious for older Chinese adults who have lived through the process of urbanisation. This current research aimed to determine the prevalence of and associated factors for depressive features in a community-based sample of older adults in China.
A community-based survey of 4077 adults aged 60 or older was conducted in Suzhou, China. Information including demographic characteristics, health behaviours, social support, disease histories and physical function was collected using a pre-designed questionnaire. Depressive features were assessed using the self-rating depression scale. Multivariate logistic regression analysis was performed to identify associated factors for depression.
The overall prevalence of depressive features in the surveyed population was 47.4% (45.9% in men and 48.5% in women). In a multiple logistic regression analysis, the significant variables of depressive features were no fixed occupation (odds ratio [OR] = 0.28; 95% confidence interval [CI]: 0.21-0.37), doing non-technical and service work (OR = 0.23; 95% CI: 0.19-0.28) or being a manager and technical personnel (OR = 0.25; 95% CI: 0.19-0.32), physical activities (OR = 0.71; 95% CI: 0.61-0.82), never taking dietary supplements (OR = 0.73; 95% CI: 0.58-0.91), not having hobbies (OR = 1.34; 95% CI: 1.15-1.56), never interacting with neighbours (OR = 1.79; 95% CI: 1.28-2.50), cold relationship with a spouse (OR = 3.34; 95% CI: 1.18-9.45) and limited activities of daily living (OR = 2.27; 95% CI: 1.91-2.69).
There is an urgent need for public policy interventions to address depression in elderly people located in Suzhou in China.
经历了城市化进程的中国老年人心理健康问题日益严重。本研究旨在确定中国社区老年人抑郁症状的患病率及其相关因素。
在中国苏州对4077名60岁及以上的成年人进行了一项基于社区的调查。使用预先设计的问卷收集包括人口统计学特征、健康行为、社会支持、疾病史和身体功能等信息。使用自评抑郁量表评估抑郁症状。进行多因素逻辑回归分析以确定抑郁症的相关因素。
被调查人群中抑郁症状的总体患病率为47.4%（男性为45.9%，女性为48.5%）。在多因素逻辑回归分析中，抑郁症状的显著变量为无固定职业（比值比[OR]=0.28；95%置信区间[CI]：0.21-0.37）、从事非技术和服务工作（OR=0.23；95%CI：0.19-0.28）或为管理人员和技术人员（OR=0.25；95%CI：0.19-0.32）、体育活动（OR=0.71；95%CI：0.61-0.82）、从不服用膳食补充剂（OR=0.73；95%CI：0.58-0.91）、没有爱好（OR=1.34；95%CI：1.15-1.56）、从不与邻居互动（OR=1.79；95%CI：1.28-2.50）、与配偶关系冷淡（OR=3.34；95%CI：1.18-9.45）以及日常生活活动受限（OR=2.27；95%CI：1.91-2.69）。
迫切需要公共政策干预措施来解决中国苏州老年人的抑郁症问题。
