Evidence map›Paper›PMID 33069213›Full record

ArticleBMC public health2020

Age and gender specific association between obesity and depressive symptoms: a large-scale cross-sectional study.

Wei Liao, Zhicheng Luo, Yitan Hou, Ningning Cui, Xiaotian Liu, Wenqian Huo, Fang Wang, Chongjian Wang

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
9.3field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 46 citations in OpenAlex.

  1. Article
  2. [Correlational research on body fat rate and skeletal muscle rate with depression in the population of assisted reproduction].Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 2026
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  10. Health-related quality of life assessed by EQ-5D-5L and its determinants among rural adults: result from the Henan rural cohort study.The European journal of health economics : HEPAC : health economics in prevention and care · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Wei LiaoDepartment of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, 100 Kexue Avenue, Zhengzhou, 450001, Henan, PR China.
Zhicheng LuoDepartment of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, 100 Kexue Avenue, Zhengzhou, 450001, Henan, PR China.
Yitan HouDepartment of Global Health, School of Health Sciences, Wuhan University, Wuhan, Hubei, China.
Ningning CuiDepartment of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, 100 Kexue Avenue, Zhengzhou, 450001, Henan, PR China.
Xiaotian LiuDepartment of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, 100 Kexue Avenue, Zhengzhou, 450001, Henan, PR China.
Wenqian HuoDepartment of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, 100 Kexue Avenue, Zhengzhou, 450001, Henan, PR China.
Fang WangDepartment of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, PR China.
Chongjian WangDepartment of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, 100 Kexue Avenue, Zhengzhou, 450001, Henan, PR China. tjwcj2005@126.com.ORCID http://orcid.org/0000-0001-5091-6621
Zhengzhou University · CNShanxi Medical University · CNWuhan University · CN

Funding

Foundation of Key Scientific and Technological Project of Henan Province 182102310562Foundation of National Key Program of Research and Development of China 2016YFC0900803High-level Personnel Special Support Project of Zhengzhou University ZDGD13001National Natural Science Foundation of China U1404814, 81573243, 81602925Science and Technology Foundation for Innovation Talent of Henan Province 164100510021Science and Technology Innovation Talents Support Plan of Henan Province Colleges and Universities 14HASTIT035
6 · The paper itself

Abstract

backgroundThis is a cross-sectional study to explore the age and gender specific association between obesity and depression in Chinese rural adults.

methodsA total of 29,900 eligible participants from the Henan Rural Cohort Study were included. Standard anthropometric measurements were undertaken to obtain data on body mass index (BMI) and waist circumference (WC). The Patient Health Questionnaire-2 (PHQ-2) was utilized to discover depressive symptoms. Logistic regression was performed to explore the association between obesity (independent variable) and depressive symptoms (dependent variable).

resultsThere were 1777 subjects with depressive symptoms, accounting for 5.94%. After multivariable adjustment, compared with normal weight group, the odds ratios (ORs) [95% confidence interval (CI)] for depressive symptoms in underweight, overweight and general obese groups were 1.41 (1.08-1.84), 0.87 (0.78-0.97) and 0.86 (0.74-0.99), respectively. Similarly, the OR (95% CI) of abdominal obesity group was 0.84 (0.76-0.93). Besides, there was linear decreasing trend of WC with depressive symptoms, but not BMI. Moreover, the inverse association between obesity and depressive symptoms was stronger in men and the elderly than that in women and the young.

conclusionUnderweight was associated with a higher prevalence of depressive symptoms, which indicated that health care should pay attention to underweight as well as obesity, especially for women and the young. CLINICAL

trial registrationThe Henan Rural Cohort Study has been registered at Chinese Clinical Trial Register (Registration number: ChiCTR-OOC-15006699 ). Date of registration: 2015-07-06.

Indexed as

DepressionObesityAdultAgedBody Mass IndexCohort StudiesCross-Sectional StudiesFemaleHumansMalePrevalenceWaist CircumferenceAssociation, age, genderDepressive symptomsObesity

Identifiers

PMID33069213
PMCPMC7568408
OpenAlexW3093062901

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.