Transmission of depressive symptoms in the nuclear family: a cross-sectional and cross-lagged network perspective.

Abstract

Children are more likely to develop depressive symptoms in families where parents have depressive symptoms. By conceptualizing the individual depressive symptom network of each family member as a whole, this study proposes a family symptom network model, and explored the mechanisms of transmission of depression within nuclear families at the symptom level. This study used four waves (2012, 2016, 2018, 2020) of data from the China Family Panel Studies (CFPS), which in wave one contained a representative sample of 1963 children (1038 boys; age = 12.60), 4763 mothers and 4614 fathers from China. Children with their parents completed the Center for Epidemiology Studies Depression Scale at each wave. Individual depressive symptom networks among children, fathers, and mothers were highly similar and stable across time. When considering depressive symptoms of all family members as a whole, there was a wide range of associations between child, father, and mother depressive symptom networks. The results of the cross-lagged network model suggest the bidirectional relationships between couples and parent-child depression. The current study provides preliminary validation of the family symptom network model. The model represents a further integration and extension of network theory of mental disorders and family systems theory, and points out the limitations of studying the intergenerational transmission of depression from a latent variable perspective. Thus, the family symptom network model proposed in this study could provide valuable new insights into understanding the intergenerational transmission of depression.