Evidence map›Paper›PMID 40050833›Full record

ArticleBMC public health2025

Long-term effects of health during childhood on depressive symptoms in later life: evidence from a nationally representative survey in China.

Yinghui You, Zimo Wang, Runzhou Sun, Chunyan Wu, Jing Ban, Ziang Pang, Ling Wang, Pengtao Liu

Abstract read
In one paragraph

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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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Yinghui You *Shandong Second Medical University, Weifang, Shandong Province, 261053, China.
Zimo Wang *Shandong Second Medical University, Weifang, Shandong Province, 261053, China.
Runzhou Sun *Beijing Tongren Hospital, Beijing Tongren Eye Center, Capital Medical University, Beijing, 100000, China.
Chunyan WuShandong Second Medical University, Weifang, Shandong Province, 261053, China.
Jing BanShandong Second Medical University, Weifang, Shandong Province, 261053, China.
Ziang PangShandong Second Medical University, Weifang, Shandong Province, 261053, China.
Ling WangShandong Second Medical University, Weifang, Shandong Province, 261053, China.
Pengtao LiuShandong Second Medical University, Weifang, Shandong Province, 261053, China. lpt1978@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChildhood health significantly influences mental well-being in later life, but this relationship remains underexplored in China. This study aims to investigate the long-term associations between childhood health status and depressive symptoms in older adults, emphasizing the need for early interventions to promote lifelong mental health.

methodsWe utilized data from a nationally representative survey conducted across 28 provinces of China, comprising 15,581 adults aged 45 years and older. Depressive symptoms were assessed using the Center for Epidemiological Studies Depression scale. Logistic regression and decision tree models were applied to examine the association between childhood health and depressive symptoms in later life.

resultsThe overall prevalence of depressive symptoms among participants was 33.75%. Those reporting excellent or very good childhood health had a lower prevalence (29.99%), while those with poor childhood health reported a markedly higher rate (47.57%). After adjusting for demographics and lifestyle factors, poor childhood health was associated with a higher likelihood of depressive symptoms (AOR 1.83, 95% CI 1.56-2.14, P < 0.0001). Other risk factors included aged 65-74 years (AOR 1.23, 95% CI 1.10-1.38, P = 0.0009), female gender (AOR 2.01, 95% CI 1.78-2.28, P < 0.0001), and never drinking (AOR 1.24, 95% CI 1.11-1.38, P = 0.0012). Protective factors included tertiary education (AOR 0.45, 95% CI 0.32-0.65, P = 0.0030), higher BMI (BMI 24-27.9 kg/m

conclusionsOur findings suggest that childhood health may influence mental well-being in later life. Promoting healthy behaviors from early childhood could help reduce depression risk in older age. However, the reliance on self-reported data and a cross-sectional design limit causal interpretation. Preventive care and targeted interventions for vulnerable children should be prioritized to improve long-term mental health outcomes.

Indexed as

Child HealthDepressionHealth StatusAgedChildChinaFemaleHealth SurveysHumansMaleMiddle AgedPrevalenceRisk FactorsChildhood healthChinaDepressive symptomsHealthy behaviors

Identifiers

PMID40050833
PMCPMC11887116

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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.