PDF(Pubmed)
Abstract：
OBJECTIVE: To explore the potential mechanisms of the relationship between socioeconomic status (SES) and depression of Chinese older adults through the mediating role of digital participation and health lifestyle.
METHODS: Using the nationally representative data from the China Family Panel Studies in 2020, 4 846 participants aged 60 years and older were analyzed in our study. We explored the potential mechanisms of the relationship between SES and depression of Chinese older adults in the digital era through a chain multiple mediating effects model. The KHB (The Karlson, Holm, and Breen) method was used to analyze the mediating role of digital participation and health lifestyle and the proportion of mediating effect between the two was also calculated. A series of robustness tests were further conducted and the fit of the model was checked by structural equation modeling.
RESULTS: The mean age of the 4 846 older adults included in this study was (68.20±5.07) years, 48.06% of whom were female and 51.94% were male. The KHB results showed that both digital participation and health lifestyle could mediate the relationship between SES and depression of older adults (P < 0.000 1) and the mediating role of health lifestyle accounted for a greater proportion than digital participation. And our study mainly found three potential pathways of SES and depression of older adults, including: (1) SES → digital participation → health lifestyle → depression, (2) SES → health lifestyle → depression, and (3) SES → depression. Structural equation modeling tests proved the overall fit of the model in this study.
CONCLUSIONS: Our findings showed that in the digital age, in addition to the direct relationship between SES and depression of older adults, and the health lifestyle as a mediator between the relationship, there is also a sequential mediating role of digital participation and health lifestyle to reduce the risk of depression. The findings suggest that we should pay more attention to the probability of the digital divide exacerbating health inequalities and socioeconomic inequalities accumulation in the digital age and promote the co-progress of digital literacy and health literacy among older adults.
METHODS: Using the nationally representative data from the China Family Panel Studies in 2020, 4 846 participants aged 60 years and older were analyzed in our study. We explored the potential mechanisms of the relationship between SES and depression of Chinese older adults in the digital era through a chain multiple mediating effects model. The KHB (The Karlson, Holm, and Breen) method was used to analyze the mediating role of digital participation and health lifestyle and the proportion of mediating effect between the two was also calculated. A series of robustness tests were further conducted and the fit of the model was checked by structural equation modeling.
RESULTS: The mean age of the 4 846 older adults included in this study was (68.20±5.07) years, 48.06% of whom were female and 51.94% were male. The KHB results showed that both digital participation and health lifestyle could mediate the relationship between SES and depression of older adults (P < 0.000 1) and the mediating role of health lifestyle accounted for a greater proportion than digital participation. And our study mainly found three potential pathways of SES and depression of older adults, including: (1) SES → digital participation → health lifestyle → depression, (2) SES → health lifestyle → depression, and (3) SES → depression. Structural equation modeling tests proved the overall fit of the model in this study.
CONCLUSIONS: Our findings showed that in the digital age, in addition to the direct relationship between SES and depression of older adults, and the health lifestyle as a mediator between the relationship, there is also a sequential mediating role of digital participation and health lifestyle to reduce the risk of depression. The findings suggest that we should pay more attention to the probability of the digital divide exacerbating health inequalities and socioeconomic inequalities accumulation in the digital age and promote the co-progress of digital literacy and health literacy among older adults.
摘要：
目的：通过数字参与和健康生活方式的中介作用，探讨中国老年人社会经济地位（SES）与抑郁之间关系的潜在机制。
方法：使用2020年中国家庭小组研究的全国代表性数据，在我们的研究中分析了4846名60岁及以上的参与者。我们通过连锁多重中介效应模型探讨了数字时代中国老年人SES与抑郁关系的潜在机制。TheKHB(TheKarlson,Holm,和Breen）方法分析了数字参与与健康生活方式的中介作用，并计算了两者之间的中介作用比例。进一步进行了一系列的稳健性检验，并通过结构方程建模检验了模型的拟合度。
结果：本研究纳入的4846名老年人的平均年龄为（68.20±5.07）岁，其中女性占48.06%，男性占51.94%。KHB结果显示，数字参与和健康生活方式均可介导SES与老年人抑郁之间的关系（P<0.0001），且健康生活方式的中介作用比数字参与所占比例更大。我们的研究主要发现了SES和老年人抑郁症的三种潜在途径，包括：(1)SES→数字参与→健康生活方式→抑郁症，（2）SES→健康生活方式→抑郁症，和（3）SES→抑郁症。结构方程建模测试证明了模型在本研究中的整体拟合。
结论：我们的研究结果表明，在数字时代，除了SES和老年人抑郁症之间的直接关系，和健康的生活方式作为关系的中介，数字参与和健康生活方式在降低抑郁风险方面也有连续的中介作用.研究结果表明，我们应该更加关注数字鸿沟加剧数字时代健康不平等和社会经济不平等积累的可能性，并促进老年人数字素养和健康素养的共同进步。
方法：使用2020年中国家庭小组研究的全国代表性数据，在我们的研究中分析了4846名60岁及以上的参与者。我们通过连锁多重中介效应模型探讨了数字时代中国老年人SES与抑郁关系的潜在机制。TheKHB(TheKarlson,Holm,和Breen）方法分析了数字参与与健康生活方式的中介作用，并计算了两者之间的中介作用比例。进一步进行了一系列的稳健性检验，并通过结构方程建模检验了模型的拟合度。
结果：本研究纳入的4846名老年人的平均年龄为（68.20±5.07）岁，其中女性占48.06%，男性占51.94%。KHB结果显示，数字参与和健康生活方式均可介导SES与老年人抑郁之间的关系（P<0.0001），且健康生活方式的中介作用比数字参与所占比例更大。我们的研究主要发现了SES和老年人抑郁症的三种潜在途径，包括：(1)SES→数字参与→健康生活方式→抑郁症，（2）SES→健康生活方式→抑郁症，和（3）SES→抑郁症。结构方程建模测试证明了模型在本研究中的整体拟合。
结论：我们的研究结果表明，在数字时代，除了SES和老年人抑郁症之间的直接关系，和健康的生活方式作为关系的中介，数字参与和健康生活方式在降低抑郁风险方面也有连续的中介作用.研究结果表明，我们应该更加关注数字鸿沟加剧数字时代健康不平等和社会经济不平等积累的可能性，并促进老年人数字素养和健康素养的共同进步。
