Evidence map›Paper›PMID 40866946›Full record

ArticleBMC public health2025

The impact of family functioning on fertility intentions among university students: a study based on latent profile analysis.

Hanyu Peng, Xintong Chou, Zhen Zhang, Hongyan Qiu

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Article in BMC public health, 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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4 authors.

Hanyu PengDepartment of Epidemiology and Statistics, School of Public Health and Management, Ningxia Medical University, Yinchuan, 750004, Ningxia Hui Autonomous Region, People's Republic of China.
Xintong ChouDepartment of Epidemiology and Statistics, School of Public Health and Management, Ningxia Medical University, Yinchuan, 750004, Ningxia Hui Autonomous Region, People's Republic of China.
Zhen ZhangDepartment of Epidemiology and Statistics, School of Public Health and Management, Ningxia Medical University, Yinchuan, 750004, Ningxia Hui Autonomous Region, People's Republic of China.
Hongyan QiuDepartment of Epidemiology and Statistics, School of Public Health and Management, Ningxia Medical University, Yinchuan, 750004, Ningxia Hui Autonomous Region, People's Republic of China. yanzide80@163.com.

Funding

National Social Science Foundation of China 23BRK036Natural Science Foundation of Ningxia Province 2024AAC03226Scientific Research Funding Project of Ningxia Medical University XZ2021034
6 · The paper itself

Abstract

backgroundPersistent low fertility in China poses critical socioeconomic challenges. Family functioning has been implicated in reproductive decisionmaking, yet its heterogeneity remain underexplored, particularly among young adults. This study employs Latent Profile Analysis (LPA) to identify high and lowfunctioning family profiles among Chinese university students and their parents, and to quantify their associations with marriageandchildbearing attitudes and explicit fertility intentions.

methodsIn a crosssectional survey of 484 student-parent pairs from two northwest Chinese universities, we administered a 68item questionnaire incorporating the 30item Chinese Family Assessment Device and standardized measures of fertility intentions and marriageandchildbearing views. LPA classified families into two profiles. Multinomial logistic regression (Models 1-3) tested the effect of family functioning on students' ideal number of children ("0," "1," "≥ 2," vs. "indifferent"), sequentially adjusting for student and parental sociodemographic covariates.

resultsLPA yielded two profiles: lowfunctining (57.0%) and highfunctoning (43.0%) families. In Model 1, lowfunctioning membership increased the odds of intending 0 children (R = 2.90, 95% CI 1.53-5.49, p < 0.01), 1 child (OR = 2.65, 1.51-4.63, p < 0.01), and ≥ 2 children (OR = 3.54, 2.28-5.49, p < 0.001) versus remaining indifferent. Adjusting for student factors (Model 2) attenuated the zerochild effect (p = 0.21) but retained significant associations for 1 child (OR = 2.22, 1.20-4.12, p < 0.05) and ≥ 2 children (OR = 3.08, 1.77-5.35, p < 0.001). In the fully adjusted model (Model 3), lowfunctioning status remained a predictor only of ≥ 2 children (OR = 2.57, 1.40-4.73, p < 0.01). Older parental age independently predicted zerochild intentions (OR = 1.20, 1.08-1.33, p < 0.001), while parental occupation moderated highintention outcomes.

conclusionsLow family functioning exerts a robust influence on both low and high fertility intentions, although its effect on zerochild plans is largely explained by student and parental characteristics. By uncovering multidimensional familyfunctioning profiles and their differential impacts, this study advances theoretical models of intergenerational value transmission and informs targeted familyeducation and policy interventions aimed at mitigating China's lowfertility trajectory.

Indexed as

Family RelationsFertilityIntentionStudentsAdolescentAdultChinaCross-Sectional StudiesFemaleHumansLatent Class AnalysisMaleSurveys and QuestionnairesUniversitiesYoung AdultFamily functioningFertility intentionsGenerational differencesLatent profile analysis (LPA)University students

Identifiers

PMID40866946
PMCPMC12382022

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LicenceCC BY-NC-ND
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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.