Objective:To explore the mediating effects of resilience and depression on the relationship between social support and self-neglect.Methods:From July to October 2020, a cross-sectional survey was conducted among 549 empty-nest community-dwelling elderly in the community using the social support rating scale, Connor and Davidson resilience scale, geriatric depression scale and elderly self-neglect scale. SPSS 22.0 and AMOS 24.0 were used for data analysis, including descriptive analysis, correlation analysis and structural equation modeling.Results:The scores of social support, resilience and self-neglect of the empty-nest elderly were (38.63±7.47), (64.30±14.57) and (3.72±2.67) respectively, and 31.70% (174/549) of the subjects had depressive symptoms. The score of self-neglect was negatively correlated with the score of social support ( r=-0.597, P<0.01) and resilience ( r=-0.557, P<0.01), and positively correlated with depression score ( r=0.675, P<0.01). The score of social support was positively correlated with resilience score ( r=0.531, P<0.01) and negatively correlated with depression ( r=-0.597, P<0.01). Social support could affect self-neglect directly ( β=-0.485, P<0.05), and it could also influence self-neglect indirectly through the partial mediating effect of resilience ( β=-0.451, P<0.05). The mediating effect of resilience and depression accounted for 12.18% and 36.00% of the total effects respectively. Conclusion:Social support could influence self-neglect directly or indirectly through resilience and depression. The empty-nesters should be encouraged to participate more in social activities so as to improve their resilience, reduce the occurrence of self-neglect.

Objective:To explore the situation and influencing factors of online health information seeking behavior of older patients with coronary heart disease.Methods:From July to November 2021, a cross-sectional survey was conducted on 451 older patients with coronary heart disease in four districts of Qingdao City using the general information questionnaire, Patient Activation Scale, Social Support Scale and Online Health Information Seeking Behavior Scale.Results:Olderpatients with coronary heart disease had a score of (70.69 ± 9.19) for online health information seeking behavior. The results of multiple linear regression analysis showed that gender, education, internet use frequency, social support and patient activation were the main influencing factors of online health information seeking behavior ( R2=0.639, F=31.58, all P<0.05). Conclusions:Older patients with coronary heart disease have a moderate level of online health information seeking behavior, and is influenced by multiple factors. Targeted measures should be taken to make patients actively search for disease information online to prevent disease deterioration and promote healthy aging.