Abstract：Objective To learn the pension willingness and influencing factors of empty-nest elderly in Hangzhou City. Methods A total of 1 000 empty-nest elderly in Hangzhou,taking a formal hosusehold registration,living≥1 year,age ≥ 65 years old,were selected from two urban districts and three suburbs by multi-stage simple random sampling,and were surveyed with questionnaires. The data was analyzed by logistic regression model to study the influencing factors of pension willingness. Results A total of 992 valid questionnaires were collected and the effective rate was 99.20%. There were 407（41.03%）,365（36.79%）,208（20.97%）and 12（1.21%）people in the 992 empty-nest elderly,choosing their children's support,social pension insurance,personal pension and other old-age methods. Multivariate logistic regression analysis showed that,the empty-nest elderly who worried about pension costs （OR=3.007,95%CI: 1.751-5.155）,and the greatest wish was physical health（OR=4.404,95%CI:1.461-13.276）,family harmony（OR= 7.724,95% CI: 2.158-27.646）,children work smoothly（OR=4.811,95%CI: 1.203-19.246）. The lower health score（OR=0.982,95% CI: 0.965-0.999）,choosing their children's support as their pension willingness were relatively high,and the empty-nest elderly who worried about pension costs（OR=2.058,95%CI: 1.267-3.344）,the original occupation for the staff（OR=2.353,95%CI: 1.091-5.078）,city household registration（OR=0.546,95%CI: 0.349-0.856）. The lower the health score （OR=0.979,95%CI: 0.966-0.993） choose social pension insurance as their pension willingness would be relatively high pension. Conclusion The influencing factors of the pension willingness of the empty-nest elderly were worried about pension costs,the greatest wish,and health status,urban and rural household registration.
朱嫒嫒, 刘庆敏, 曹承建, 朱建慧, 李金涛, 裘欣, 付文, 吴振威. 杭州市空巢老人养老意愿及影响因素研究[J]. 预防医学, 2017, 29(7): 665-669.
ZHU Ai-ai, LIU Qing-min, CAO Cheng-jian, ZHU Jian-hui, LI Jin-tao, QIU Xin, FU Wen, WU Zhen-wei. A survey on the pension willingness of empty-nest elderly in Hangzhou City and its influencing factors. Preventive Medicine, 2017, 29(7): 665-669.
