Evidence map›Paper›PMID 39385127›Full record

ArticleBMC public health2024

Associations between reproductive factors and the prevalence of depression: findings from the National Health and Nutrition Examination Survey (NHANES) 2005-2018.

Ronghua Zuo, Jingbo Xu, Lin He, Yuefei Wang, Jie Tang

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Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
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1 · What the graph read from it

What it found

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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

Who cites it

6 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Ronghua ZuoDepartment of Anesthesiology, Peking University Third Hospital, No. 49, North Garden Street, Haidian District, Beijing, 100191, China.
Jingbo XuDepartment of Obstetrics and Gynecology, Wuxi No.2 People's Hospital, 585 Xingyuan North Road, Liangxi District, Wuxi, Jiangsu, 214000, China.
Lin HeDepartment of Obstetrics and Gynecology, Wuxi No.2 People's Hospital, 585 Xingyuan North Road, Liangxi District, Wuxi, Jiangsu, 214000, China.
Yuefei WangDepartment of Obstetrics and Gynecology, Wuxi No.2 People's Hospital, 585 Xingyuan North Road, Liangxi District, Wuxi, Jiangsu, 214000, China.
Jie TangDepartment of Obstetrics and Gynecology, General Hospital of Eastern Theater Command, Nanjing, Jiangsu, 210002, China. tangjie092023@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aims to explore the relationship between female reproductive factors (age at first birth (AFB), age at last birth (ALB), gravidity, and number of live birth (NLB)) and prevalence of depression among the US women.

methodsThe relationship between AFB, ALB, gravidity, and NLB with the prevalence of depression was explored using publicly available data from the National Health and Nutrition Examination Survey 2005-2018. This cross-sectional study included female participants aged 20 years and older, with reproductive factors and depressive symptoms reported by the participants. Depression was evaluated using the Patient Health Questionnaire-9, with a score of ≥ 10 representing major depression disorder. Weighted multivariable logistic regression and restricted cubic splines (RCS) were utilized to explore the association of AFB, ALB, gravidity and NLB with depression.

resultsIn this study of 11,488 US women, 1,332 (11.6%) women had depression. Compared to the reference group of women with AFB under 18 years, the fully adjusted ORs and 95% CIs for depression were 0.83 (95% CI: 0.68-0.99), 0.75 (95% CI: 0.60-0.95), and 0.69 (95% CI: 0.51-0.93) for women with AFB of 21-23, 24-26, and 27-29 years, respectively. Furthermore, women with five or more pregnancies had a significantly higher prevalence of depression compared to those with two or fewer pregnancies (OR = 1.20, 95% CI: 1.01-1.42). RCS models demonstrated linear associations of ALB, gravidity and NLB with the prevalence of depression. Additionally, the RCS analysis revealed a roughly L-shaped relationship between AFB and prevalence of depression.

conclusionsWomen with later AFB are associated with a decreased prevalence of depression, while multiple pregnancies are associated with an increased prevalence of depression. These findings suggest that reproductive factors should be considered when screening for and developing preventive strategies for depression.

Indexed as

DepressionNutrition SurveysAdultCross-Sectional StudiesFemaleGravidityHumansMiddle AgedPregnancyPrevalenceRisk FactorsUnited StatesYoung AdultAgeBirthDepressionGravidityPregnancy

Identifiers

PMID39385127
PMCPMC11465941

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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.