电子健康
健康素养
社会支持
自我效能感
心理学
预测能力
老年学
人口
读写能力
横断面研究
医疗保健
授权
医学
临床心理学
社会心理学
环境卫生
哲学
法学
经济
病理
认识论
经济增长
教育学
政治学
作者
Arkers Kwan Ching Wong,Jonathan Bayuo,Frances Kam Yuet Wong
摘要
This study aimed to investigate the predictors of self-care behavior among homebound older adults using the Health Empowerment theory as a framework.This was a cross-sectional, predictive correlational study.Sixty-eight participants were randomly selected from five Hong Kong community centers from May 21, 2020 through July 20, 2020. Self-care behaviors were assessed using the Chinese version of Partners in Health. Self-efficacy, eHealth literacy, and perceived social support were assessed as potential predictors of self-care behaviors. A multiple linear regression analysis was adopted to examine the predictive effects.The age of the sample ranged from 61 to 85 years (mean = 71.7, SD = 6.0). Participants who reported having sufficient or more than sufficient financial resources had better self-care behaviors than those who claimed to have insufficient financial resources (F = 5.08, p = 0.009). Statistically significant correlations were found between the participants' eHealth literacy (r = 0.54, p < 0.001), perceived social support (r = 0.60, p < 0.001), and self-care behaviors. eHealth literacy (β = 0.13, p = 0.007) and perceived social support (β = 0.13, p < 0.001) were significant predictors of self-care behaviors. Collectively, the three variables accounted for 41% of the variances in self-care behaviors.The findings in this study suggest that eHealth literacy and perceived social support are two key factors that predicted the self-care behaviors of this vulnerable population.In this technological era, the use of eHealth, together with enhanced social support, can lead to better self-care among older adults, particularly those who are homebound.
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