School of Public Management, Northwest University, Xi'an, 710127, China.
School of Public Health, Health Science Center, Jiaotong University, Xi'an, 710061, China.
BMC Geriatr. 2024 Oct 12;24(1):826. doi: 10.1186/s12877-024-05345-y.
Inter-generational interaction is a carrier of Chinese traditional culture, and it can exert important influence on the depressive symptoms on Chinese older adults. The study aims to analyze gender differences in the association between inter-generational interaction and depressive symptoms among Chinese older adults and explore factors contributing to the differences.
Data from China Family Panel Studies in 2020 were used. Depressive symptoms were assessed using the 8-item Center for Epidemiologic Studies Depression Scale. The latent class analysis was applied to identify patterns of inter-generational interaction of older adults (aged 60 and above). Before the comparison between older man and older woman, we used Coarsened Exact Matching to control confounding factors and improve causal inferences. Multiple linear regression was conducted to explore the association between inter-generational interaction and depression symptoms. Oaxaca-blinder decomposition method was used to analyze the gender difference and the sources.
Our study identified three types of inter-generational interaction: detached, nearby but discordant and two-way tight-knit. Analysis indicated that most of older man (54.39%) and older woman (49.78%) were in the type of nearby but discordant. Older man and older woman who in detached type had higher depression scores than other types, and the depression score of two-way tight-knit type accounted for 12.42 and 13.77 respectively. Our findings demonstrated that two-way tight-knit type (-11.89%) significantly decreased the gender differences in the depression symptoms. Other major contributors also included living without spouse (20.56%), primary school and junior middle school (15.95%), higher middle school and above (9.50%) and no illness for two weeks (47.70%).
Our study highlighted three patterns of inter-generational interaction, and most of older man and older woman were in the pattern of nearby but discordant. In addition, the two-way tight-knit pattern significantly can decrease gender differences in depression symptoms. The contributors should be taken into account in more targeted intervention strategies for narrowing gender differences in the depression symptoms, which could achieve a gender dividend in the era of China's aging population.
代际互动是中国传统文化的载体,它对中国老年人的抑郁症状有重要影响。本研究旨在分析代际互动与中国老年人抑郁症状之间的关联存在性别差异的原因。
本研究使用 2020 年中国家庭追踪调查的数据。使用 8 项中心抑郁量表评估抑郁症状。采用潜在类别分析识别老年人代际互动模式(年龄在 60 岁及以上)。在比较老年男性和老年女性之前,我们使用粗化精确匹配来控制混杂因素,提高因果推论。采用多元线性回归探讨代际互动与抑郁症状之间的关系。采用 Oaxaca-blinder 分解方法分析性别差异及其来源。
本研究确定了三种代际互动模式:疏远型、附近但不和谐型和双向紧密型。分析表明,大多数老年男性(54.39%)和老年女性(49.78%)处于附近但不和谐型。疏远型的老年男性和老年女性的抑郁评分高于其他类型,而双向紧密型的抑郁评分分别占 12.42%和 13.77%。我们的研究结果表明,双向紧密型(-11.89%)显著降低了抑郁症状的性别差异。其他主要贡献因素还包括与配偶分居(20.56%)、小学和初中(15.95%)、高中及以上(9.50%)和两周内无病(47.70%)。
本研究强调了三种代际互动模式,大多数老年男性和老年女性处于附近但不和谐的模式。此外,双向紧密型模式可以显著降低抑郁症状的性别差异。在针对缩小抑郁症状性别差异的更有针对性的干预策略中,应考虑这些贡献因素,这可能在中国人口老龄化时代实现性别红利。