Gender-Specific Transmission of Depressive Symptoms in Chinese Families: A Cross-Lagged Panel Network Analysis Based on the China Family Panel Studies.

Xuanyu Zhang, Nan Fang, Rui Wang, Lixin Zhu, Dengdeng Zhang, Huina Teng, Boyu Qiu

Abstract read

In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

7 authors.

Xuanyu ZhangSchool of Mental Health, Guangzhou Medical University, Guangzhou 510180, China.ORCID 0009-0001-4093-7709

Nan FangSchool of Stomatology, Guangzhou Medical University, Guangzhou 510180, China.

Rui WangSchool of Health Management, Guangzhou Medical University, Guangzhou 510180, China.

Lixin ZhuSchool of Health Management, Guangzhou Medical University, Guangzhou 510180, China.ORCID 0009-0008-5497-5854

Dengdeng ZhangSchool of Health Management, Guangzhou Medical University, Guangzhou 510180, China.

Huina TengSchool of Health Management, Guangzhou Medical University, Guangzhou 510180, China.

Boyu QiuSchool of Health Management, Guangzhou Medical University, Guangzhou 510180, China.

Funding

GuangDong Basic and Applied Basic Research Foundation #2023A1515110394Guangzhou Basic and Applied Basic Research Foundation #2024A04J5080

6 · The paper itself

Abstract

Depression is prevalent and may be transmitted within the family. However, whether and how gender influences the interaction of depressive symptoms between parents and adolescents remains largely unclear. The current study used a cross-lagged panel network (CLPN) analysis to examine the gender-specific transmission of depressive symptoms in representative Chinese families from the China Family Panel Studies. The participants included 1469 adolescents (48.3% girls) and their parents, with depressive symptoms assessed by the epidemiological studies depression scale in 2020 (T1;

Indexed as

cross-lagged panel networkdepressive symptomsfamilial transmissiongender difference

Identifiers

PMID40426450

DOI10.3390/bs15050672

PMCPMC12109378

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.