Evidence map›Paper›PMID 41593436›Full record

ArticleBMC public health2026

A mixed-methods survey to explore current status of college students' views on marriage and childbearing and their influencing factors.

Yi-Ran Yue, Wen-Ting Xia, Jia Tao, Yue Zhang, Jia Tang, Dan Su

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Article in BMC public health, 2026. 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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6 authors.

Yi-Ran YueSchool of Nursing, Anhui Medical University, Hefei, 230032, China.
Wen-Ting XiaSchool of Nursing, Anhui Medical University, Hefei, 230032, China.
Jia TaoSchool of Nursing, Anhui Medical University, Hefei, 230032, China.
Yue ZhangSchool of Nursing, Anhui Medical University, Hefei, 230032, China.
Jia TangSchool of Nursing, Anhui Medical University, Hefei, 230032, China.
Dan SuSchool of Nursing, Anhui Medical University, Hefei, 230032, China. 2012500016@ahmu.edu.cn.

Funding

Natural Science Research Project of Anhui Educational Committee No.2023AH050616Nursing Project of Anhui Institute of Translational Medicine No.2024zhyx-hl-B05
6 · The paper itself

Abstract

BACKGROUND AND

objectiveMarriage and fertility rates in China have declined steadily in recent years, raising concerns about their social and structural determinants. College students, as young adults at a critical life stage, play an important role in shaping future demographic trends. Guided by the socio-ecological framework, this study examined Chinese college students’ attitudes toward marriage and childbearing and explored how individual, social, and structural factors jointly shape these attitudes. PARTICIPANTS AND

settingA total of 238 college students participated in the quantitative phase, and 12 college students were interviewed in the qualitative phase.

methodsA mixed-methods design was employed, combining standardized questionnaires with semi-structured interviews. Quantitative data were analyzed using descriptive statistics and multivariate logistic regression, while qualitative data were examined through thematic analysis. Quantitative and qualitative findings were integrated to clarify mechanisms underlying observed statistical patterns.

resultsQuantitative results indicated substantial variation in attitudes toward marriage and childbearing. Male students, senior students, and those in romantic relationships reported more positive attitudes toward marriage, while male students and junior students expressed more positive attitudes toward childbearing. Qualitative findings showed that women’s cautious attitudes, as shaped by gendered social experiences, were influenced by pre-childbearing anxiety, reproductive health concerns, and perceived workplace penalties, which helped explain the observed gender differences. In addition, economic pressure, restrictive policies, and high-pressure social environments emerged as key structural factors contributing to the low prevalence of highly positive marriage and childbearing attitudes across the sample.

conclusionsCollege students’ attitudes toward marriage and childbearing are shaped by multi-level influences within the socio-ecological framework, including embodied risk perceptions, economic pressure, cultural norms, and institutional constraints. By integrating quantitative patterns with qualitative mechanisms, this study demonstrates the value of a mixed-methods design grounded in the socio-ecological framework for understanding contemporary marriage and fertility attitudes and for informing education and policy interventions aimed at reducing structural barriers to family formation.

Indexed as

AttitudeMarriageStudentsAdolescentAdultChinaFemaleHumansInterviews as TopicMaleQualitative ResearchSurveys and QuestionnairesUniversitiesYoung AdultChildbearingCollege studentsInfluencing factorsMarriageMixed research

Identifiers

PMID41593436
PMCPMC12918220

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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.