Evidence map›Paper›PMID 40093280›Full record

ArticleWorld journal of diabetes2025

Overweight in mediating the association between depression and new-onset diabetes: A population-based research from Health and Retirement Study.

Zi-Hao Zhang, Shuo-Ying Yue, Meng Su, Hong-Lu Zhang, Qing-Cui Wu, Zhi-Lin Li, Nai-Jian Zhang, Zhi-Yi Hao, Man Li, Hui-Jie Huang and 3 more

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Article in World journal of diabetes, 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
–field-weighted citation impact
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

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

13 authors.

Zi-Hao ZhangDepartment of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin 300070, China.
Shuo-Ying YueDepartment of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin 300070, China.
Meng SuDepartment of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin 300070, China.
Hong-Lu ZhangDepartment of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin 300070, China.
Qing-Cui WuDepartment of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin 300070, China.
Zhi-Lin LiDepartment of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin 300070, China.
Nai-Jian ZhangDepartment of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin 300070, China.
Zhi-Yi HaoDepartment of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin 300070, China.
Man LiDepartment of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin 300070, China.
Hui-Jie HuangDepartment of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin 300070, China.
Jun MaDepartment of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin 300070, China.
Yuan-Yuan LiuDepartment of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin 300070, China.
Hui WangDepartment of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin 300070, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeveral studies have suggested a close link between depression, overweight, and new-onset diabetes, particularly among middle-aged and older populations; however, the causal associations remain poorly understood.

aimTo investigate the role of overweight in mediating the association between depression and new-onset diabetes in middle-aged and older populations.

methodsData of 9426 individuals aged ≥ 50 years from the 1998-2016 Health and Retirement Study database were analyzed. Weighted logistic regression was employed to obtain odds ratios (ORs) and 95% confidence intervals (95%CIs) for depression and new-onset diabetes in the middle-aged and older populations. Mediation analysis and the Sobel test were used to test the mediating effects of overweight between depression and the risk of new-onset diabetes.

resultsNew-onset diabetes was identified in 23.6% of the study population. Depression was significantly associated with new-onset diabetes (OR: 1.18, 95%CI: 1.03-1.35,

conclusionNew-onset diabetes was not necessarily a direct complication of depression; rather, depression led to behaviors that increase the risk of overweight and, consequently, new-onset diabetes.

Indexed as

DepressionMediating effectNew-onset diabetesOverweight

Identifiers

PMID40093280
PMCPMC11885974

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