【摘要】目的 分析不同养老方式对城市老年人心理孤独感的影响，为政府相关部门完善养老服务提供依据。方法 2017年7月份采用分层随机抽样方法，抽取江苏省徐州市2 260名≥60岁老年人群进行问卷调查；采用Ordered Probit模型分析自我养老、家庭养老和社会养老3种养老方式对城市老年人心理孤独感及其各维度的影响。结果 47.52%(1 074人）老年人具有孤独感，其中偶感孤独726人，占32.12%、348人常感孤独，占15.40%。家庭养老变量中，是否与子女同住及子女个数对老年人心理孤独感均有影响（P <0.05）；社会养老变量中，没有政府养老金、社区没有老年人活动场所的老年人更容易感到孤独（P <0.05)。结论 政府相关部门应该加大老年人健康护理、重点关注没有子女或子女较少的老年人，并要不断完善社会养老服务。
【基金资助】 江苏高校哲学社会科学基金（2017SJB1003）; 国家自然科学基金（71673170）;
Effect of pension mode on psychological loneliness among urban elderly in Xuzhou city
【Abstract】 Objective To analyze the effect of different pension modes on psychological loneliness among urban elderly and to provide evidences for developing effective nursing care service for the elderly by governmental agencies. Methods Face-to-face interviews were conducted with a self-designed questionnaire among 2 300 elderly residents aged ≥ 60 years and above selected with stratified random sampling in Xuzhou city of Jiangsu province in July 2017. Ordered probit model was used to analyze the effect of self-provision, family-based provision, and social provision on psychological loneliness and its dimensions among the elderly. Results Among the 2 260 valid respondents, 47.52% (1 074) reported the feeling of loneliness; 32.12% (726) and 15.40% (348) reported occasional and frequent feeling of loneliness. Among the respondents with family-based provision, whether living with children and the number of children were significant influencing factors for psychological loneliness (P < 0.001 and P < 0.05); while, among the respondents with social provision, those without government pension and finding no public place for leisure activities in residential communities were more likely to have psychological loneliness (P < 0.05 and P < 0.001). Conclusion Relevant government agencies should increase health care for community elderly, especially for the childless elderly.
【Keywords】 pension mode; urban elderly; loneliness;
【Funds】 Philosophy and Social Science Foundation of Jiangsu Colleges and Universities (2017SJB1003); National Natural Science Foundation of China (71673170);
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