Evidence map›Paper›PMID 41312240›Full record

ArticleFrontiers in public health2025

Third-child fertility intentions and influencing factors among female workers of reproductive age in Shandong under China's three-child policy.

Yanxia Qi, Guiyun Wang, Jinke Kuang, Wenjing Xu, Yingxin Zhang, Xiuzhen Mu, Jinnan Xiao

Abstract read
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Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Yanxia Qi *School of Nursing, Shandong Xiehe University, Jinan, Shandong, China.
Guiyun Wang *School of Nursing, Shandong Xiehe University, Jinan, Shandong, China.
Jinke KuangSchool of Nursing, Shandong Xiehe University, Jinan, Shandong, China.
Wenjing XuSchool of Nursing, Shandong Xiehe University, Jinan, Shandong, China.
Yingxin ZhangDelivery Room, The Second People's Hospital of Liaocheng, Liaocheng, Shandong, China.
Xiuzhen MuTaigong Primary School, Zibo, Shandong, China.
Jinnan XiaoXiangya School of Nursing, Central South University, Changsha, Hunan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The persistent decline in global fertility rates, coupled with women's growing professionalization, has led to low third-child fertility intentions among female workers, a common challenge across low-fertility countries. Objectives: This study examined third-child fertility intentions and their influencing factors among reproductive-age female workers in Shandong Province, China. Methods: Using snowball sampling, 1,358 female workers aged 20-49 years in Shandong Province, China were recruited through personal networks from April-May 2024 and referrals to ensure a diverse yet targeted sample. Based on the theory of planned behavior, we collected data on demographic characteristics, behavioral attitudes, subjective norms, and perceived control factors using a self-administered questionnaire distributed through a popular online survey platform. We used descriptive analysis, chi-squared tests, and binary logistic regression for data analysis. Results: Only 10.3% of the study participants expressed intentions to have a third child. The logistic regression analysis showed that all examined variables-including demographic characteristics (age, residence, education level, monthly household income, and whether both spouses were only children), behavioral attitude factors (the ideal number of children and career prospects), and perceived control factors (caregiver availability for a third child, type of workplace, and knowledge of the three-child policy)-were significantly associated with third-child fertility intentions ( Conclusions: Female workers face career-family conflicts and may avoid having a third child due to multiple factors. To achieve sustainable population development, China should intensify efforts to promote the three-child policy, clarify its benefits and implementation mechanisms, and address barriers to uptake, alongside expanding affordable quality public childcare, increasing childcare subsidies, and legislating family-friendly practices (e.g., flexible work) in private sectors. The study findings offer actionable insights for low-fertility regions with similar socio-cultural contexts, including other provinces in China and specific areas in East Asia.

Indexed as

Family Planning PolicyFertilityIntentionAdultChinaFemaleHumansMiddle AgedSurveys and QuestionnairesYoung AdultChina's three-child policycross-sectional studyfemale workersinfluencing factorsthird-child fertility intentions

Identifiers

PMID41312240
PMCPMC12647086

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LicenceCC BY
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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.