Objective:To understand the main patterns of intergenerational relationships in Chinese families and explore the relationship between these patterns and depressive symptoms among the old adults,so as to provide theoretical evidence for impro-ving the psychological well-being of the old adults.Methods:Based on cross-sectional data from Chinese longitudinal healthy lon-gevity survey in 2018,latent class analysis was used to identify the types of intergenerational relationships among a sample of 10493 individuals who met the criteria.Furthermore,generalized linear equations were employed to explore the relationships between inter-generational relationships,social participation,and mental health among the old adults.Results:Based on the results of latent class analysis and the intergenerational solidarity model,intergenerational family relationships were classified into four types:high contact,intimate,disengaged,and high affective functioning.The analysis using generalized linear models found that disengaged intergenerational family relationships,education,self-rated health,and self-rated quality of life significantly influenced depression symptoms in older adults(P<0.001).Social engagement had a moderating effect in disengaged intergenerational relationships(P<0.01),and higher levels of social engagement could partially alleviate the negative impact of disengaged intergenerational family re-lationships on depression symptoms in older adults(r=-0.176,P<0.001).Conclusion:The family intergenerational relationship patterns exhibit heterogeneity in aspects such as gender and urban-rural divide.An alienated family relationship pattern increases the risk of depressive symptoms among older adults.At the same time,social participation can alleviate depressive symptoms among older adults to a certain extent.
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