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Factors related to successful aging among community-dwelling elderly in Wenzhou,China
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作者 Chen-Yu Gu pornchai jullamate +2 位作者 Sivasankari Nadarajan Nisakorn Krungkraipetch Chanandchidadussadee Toonsiri 《Frontiers of Nursing》 2023年第1期65-71,共7页
Objectives:To examine the level of successful aging and the relationship between successful aging and activities of daily living(ADL),life satisfaction,social support,income,and self-efficacy among community-dwelling ... Objectives:To examine the level of successful aging and the relationship between successful aging and activities of daily living(ADL),life satisfaction,social support,income,and self-efficacy among community-dwelling elderly in Wenzhou,China.Methods:A descriptive correlational design was applied.Subjects were community-dwelling elderly in 4 districts of Wenzhou,China.Simple random sampling was used to recruit 83 participants.All participants were screened using the Mini-Cog tool.Data were collected using 6 questionnaires such as a demographic questionnaire,the Successful Aging Inventory(SAI),the Barthel Index for ADL,the Satisfaction With Life Scale(SWLS),the Social Support Rating Scale(SSRS),and the General Self-Efficacy Scale(GSES).Data were analyzed using descriptive statistics and Pearson correlation analysis.Results:The results showed that 53%of the participants had a higher level of successful aging and 43.4%had a moderate level of successful aging with a mean score of 56.76(standard deviation[SD]=12.31).Factors such as elderly income(r=0.73,P<0.001)and self-efficacy(r=0.72,P<0.001)had high correlations with successful aging,whereas ADL(r=0.67,P<0.001),life satisfaction(r=0.63,P<0.001),and social support(r=0.36,P<0.001)had moderate correlations with successful aging.Conclusions:There was a significant positive correlation between successful aging and ADL,life satisfaction,social support,income,and self-efficacy among community-dwelling elderly in Wenzhou,China.The findings may guide the formulation of more effective health education and intervention measures to improve successful aging among the elderly. 展开更多
关键词 China COMMUNITY-DWELLING ELDERLY risk factors successful aging
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Prevalence and predictive factors of elder mistreatment in Chinese migrant families
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作者 Ye-Qin Yang Wannee Deoisres +1 位作者 Chintana Wacharasin pornchai jullamate 《Frontiers of Nursing》 2022年第2期165-172,共8页
Objectives:To examine the prevalence of and identify the predictive factors for elder mistreatment(EM)in Chinese migrant families.Methods:This was a cross-sectional study.A total of 489 rural migrant elderly were recr... Objectives:To examine the prevalence of and identify the predictive factors for elder mistreatment(EM)in Chinese migrant families.Methods:This was a cross-sectional study.A total of 489 rural migrant elderly were recruited using multistage sampling technique from communities in Wenzhou city between June 2020 and October 2020.All par ticipants completed the Mini-Cog,and then data were collected in a survey using the 12-Item Shor t-Form Health Survey Questionnaire,Abuser’s Dependency Scale,the Friendship Scale(FS),Intergenerational Ambivalence Scale,Filial Piety Index,the Assessment Tool of Domestic Elder Abuse,and a demographic questionnaire.Descriptive statistics and multiple regression were carried out to analyze the data.Results:The prevalences of physical mistreatment,psychological mistreatment,neglect,economic mistreatment,and social mistreatment among the migrant elderly were 1.23%,20.65%,22.50%,0.61%,and 9.41%,respectively.Significant predictive factors were migrant elderlies’mental health status(β=–0.118,P<0.01),adult children’s filial piety(FP)(β=–0.245,P<0.001),and intergene rational ambivalence(β=0.365,P<0.001).Conclusions:EM was common among the migrant elderly.Predictive factors for EM in Chinese migrant families were identified.The findings could be useful in developing nursing interventions to promote migrant elderlies’mental health,uphold their children’s FP,and harmonize intergenerational relationship to avoid EM. 展开更多
关键词 ELDERLY elder mistreatment MIGRANT PREVALENCE risk factors
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