ArticleHeliyon2023
Fertility intention and its affecting factors in China: A national cross-sectional survey.
Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.
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Who cites it
21 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Fertility intention and its determinants of childbearing-age population in China after the three-child policy: a systematic review and meta-analysis.Journal of global health · 2026Pooled it
- Fertility intention of young people of childbearing age in China after the implementation of the two-child policy-A systematic review and meta-analysis.BMC public health · 2024Pooled it
- Association between family health and fertility intention among women of childbearing age in China: evidence from a large multi-stage cross-sectional survey.Journal of global health · 2026Article
- Effects of hydroxychloroquine sulfate combined with aspirin and enoxaparin sodium therapy on perinatal outcomes in patients with undifferentiated connective tissue disease-related recurrent miscarriage: a retrospective clinical study.BMC pregnancy and childbirth · 2026Article
- Fertility desire and its determinants among pregnant women in Ethiopia.Contraception and reproductive medicine · 2026Article
- From virtual attachments to real-world fertility desires: emotional pathways in game character attachment and parasocial relationships.Frontiers in psychology · 2026Article
- Differentiation of fertility attitudes and its influencing factors among married reproductive-aged women: an empirical analysis in Shandong Province, China.Frontiers in public health · 2026Article
- Analysis of the current situation of female induced abortion under China's "three-child policy".PloS one · 2026Article
- The impact of psychological factors on fertility intention among women who have given birth in Shanghai: multiple mediating effects analysis based on the theory of planned behavior.Reproductive health · 2025Article
- The impact of family functioning on fertility intentions among university students: a study based on latent profile analysis.BMC public health · 2025Article
- Identifying the key influencing factors of psychological birth trauma in primiparous women with interpretable machine learning.International journal of nursing sciences · 2025Article
- The acceptances and associated influences of body donation in Mainland China: a national cross-sectional study.Scientific reports · 2025Article
- Willingness to bear the first child among the Chinese childless population: a national survey study.Reproductive health · 2025Article
- Durational Exposure to Particulate Matter and Changes in Fertility Intentions: A Study of Adults in China.Current medical science · 2025Article
- Digital insights: Analyzing the reproductive intentions and influencing factors among urban women in China through online platforms.PloS one · 2025Article
- Effect of "universal two-child" policy on population changes in Shandong province, China: an interrupted time series analysis.Frontiers in public health · 2025Article
- The influence of the value of children on the fertility intentions of people of childbearing age in China.Frontiers in sociology · 2025Article
- "Hit a bottleneck": a convergent mixed-methods approach to the Influencing factors and experience of fertility intention among mothers of childbearing age with two children in mainland China.Reproductive health · 2024Article
- Article
- The causal effect of educational attainment on stress urinary incontinence: a two-sample mendelian randomization study.BMC women's health · 2023Article
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12 authors.
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Abstract
Introduction: Low fertility rate has become an inevitable problem globally. Although current policies have a certain effect on promoting fertility and raising the birth rate, the overall effect is not obvious to meet the need. Therefore, the exploration of fertility intention and its affecting factors is extremely significant. Methods: This study collected demographic data and the intention of respondents to have a second children, which focused on the factors that could affect fertility issues. 11,031 respondents were divided into non-fertile group (n = 5062) and fertile group (n = 5969) according to whether they had children or not, and the fertility group (n = 5969) were divided into group with 1-2 children (n = 5293) and group with ≥3 children (n = 676) according to the number of children. Non-fertility respondents aged 26-40 (n = 1369) were divided to explore the factors affecting the second-children intention. Binary logistic regression analysis was used to determine the affecting factors. Results: It was revealed that gender [Male: OR: 0.60, 95% CI: 0.54-0.68], age [26-40: OR: 16.0, 95% CI: 13.4-19.1; 41-60: OR: 233.8, 95% CI: 186.7-292.6; >60: OR: 105.6, 95% CI: 77.1-144.6], political status [Partisans: OR: 0.48, 95% CI: 0.42-0.54], highest educational level [Middle school: OR: 0.21, 95% CI: 0.17-0.26; College degree or above: OR: 0.09, 95% CI: 0.08-0.11], whether having chronic disease [Yes: OR: 1.95, 95% CI: 1.60-2.38] and depression [Mild depression: OR: 0.63, 95% CI: 0.56-0.72; Moderate depression: OR: 0.43, 95% CI: 0.36-0.53; Moderate to severe depression: OR: 0.45, 95% CI: 0.35-0.57; Severe depression: OR: 0.50, 95% CI: 0.33-0.74] were important factors affecting fertility intention. We found that age [26-40: OR: 0.11, 95% CI: 0.08-0.15; 41-60: OR: 0.15, 95% CI: 0.12-0.18; >60: 0.81, 95% CI: 0.66-0.99], region [Central China: OR: 1.49, 95% CI: 1.20-1.86; Western China: OR: 1.75, 95% CI: 1.41-2.18], resident place [Urban: OR: 0.59, 95% CI: 0.49-0.72], per capita monthly household income [6001-12000: OR: 0.63, 95% CI:0.46-0.83; ≥12,000: OR: 1.83, 95% CI: 1.20-2.80], political status [Non-partisans: OR: 0.24, 95% CI: 0.09-0.69], highest educational level [Middle school: OR: 0.36, 95%CI: 0.27-0.46; College degree or above: OR: 0.22, 95% CI: 0.17-0.30] and anxiety [Moderate anxiety: OR: 1.39, 95% CI: 1.04-1.88; Severe anxiety: OR: 2.19, 95% CI: 1.26-3.80] were the main affecting factors for choosing the number of children. Furthermore, the second-children intention investigation in respondents aged 26-40 showed that gender [Male: OR: 2.06, 95% CI: 1.67-2.53], resident place [Urban: OR: 0.59, 95% CI: 0.49-0.72], per capita monthly household income [≥12,000: OR: 1.86, 95% CI: 1.23-2.82] and pressure [Severe pressure: OR: 0.54, 95% CI: 0.34-0.85] were the important factors. Conclusion: Region, educational level, psychological factors, income, political status and medical insurance were the important factors affecting the intention of fertility and the number of children. The government should take these factors into account when optimizing the existing policy.
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