Evidence map›Paper›PMID 40369520›Full record

ArticleBMC psychiatry2025

Association between living arrangement and psychological well-being among patients with major depressive disorder: the moderating role of body mass index.

Chengxi Wen, Yifeng Liu, Yanzhi Li, Ruiying Chen, Hao Zhao, Xiaojuan Zhang, Xiaoxin Zhuang, Yuhua Liao, Jiejing Hao, Yan Chen and 7 more

Abstract read
In one paragraph

Article in BMC psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
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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

17 authors.

Chengxi Wen *Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-Sen University, No.74 Zhongshan Road 2, Guangzhou, 510080, People's Republic of China.
Yifeng Liu *Department of Psychiatry, Shenzhen Nanshan Center for Chronic Disease Control, Shenzhen, 518054, China.
Yanzhi LiDepartment of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-Sen University, No.74 Zhongshan Road 2, Guangzhou, 510080, People's Republic of China.
Ruiying ChenDepartment of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-Sen University, No.74 Zhongshan Road 2, Guangzhou, 510080, People's Republic of China.
Hao ZhaoDepartment of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-Sen University, No.74 Zhongshan Road 2, Guangzhou, 510080, People's Republic of China.
Xiaojuan ZhangDepartment of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-Sen University, No.74 Zhongshan Road 2, Guangzhou, 510080, People's Republic of China.
Xiaoxin ZhuangDepartment of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-Sen University, No.74 Zhongshan Road 2, Guangzhou, 510080, People's Republic of China.
Yuhua LiaoDepartment of Psychiatry, Shenzhen Nanshan Center for Chronic Disease Control, Shenzhen, 518054, China.
Jiejing HaoDepartment of Psychiatry, Shenzhen Nanshan Center for Chronic Disease Control, Shenzhen, 518054, China.
Yan ChenDepartment of Psychiatry, Shenzhen Nanshan Center for Chronic Disease Control, Shenzhen, 518054, China.
Wanxin WangDepartment of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-Sen University, No.74 Zhongshan Road 2, Guangzhou, 510080, People's Republic of China.
Huiming ZhangDepartment of Psychiatry, Shenzhen Nanshan Center for Chronic Disease Control, Shenzhen, 518054, China.
Lan GuoDepartment of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-Sen University, No.74 Zhongshan Road 2, Guangzhou, 510080, People's Republic of China.
Roger S McIntyreDepartment of Psychiatry, University of Toronto, Toronto, ON, Canada.
Kayla M TeopizBrain and Cognition Discovery Foundation, Toronto, Canada.
Ciyong Lu *Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-Sen University, No.74 Zhongshan Road 2, Guangzhou, 510080, People's Republic of China. luciyong@mail.sysu.edu.cn.
Xue Han *Department of Psychiatry, Shenzhen Nanshan Center for Chronic Disease Control, Shenzhen, 518054, China.

Funding

Sanming Project of Medicine in Shenzhen Nanshan 11the National Natural Science Foundation of China 82373660
6 · The paper itself

Abstract

backgroundMajor depressive disorder (MDD) is highly prevalent globally, significantly impacting psychological well-being (PWB). Herein, we aim to evaluate the impact of different living arrangements on PWB in individuals with MDD and explore the potential moderating role of BMI in this relationship.

methodsParticipants with MDD were recruited from a specialist mental health hospital between December 2019 and April 2023. The diagnosis of MDD was assessed by trained psychiatrists using the Mini-International Neuropsychiatric Interview (M.I.N.I.). Psychological well-being was evaluated using the World Health Organization-Five Well-Being Index. Univariable and multivariable logistic regression models were used to examine the association between different living arrangements and PWB at the 12-month follow-up. The Participants were categorized into underweight, normal weight, and overweight groups based on BMI, followed by conducting stratified analysis.

resultsAfter adjusting for covariates, living with family (AOR = 1.80, 95%CI = 1.14-2.87, P = 0.026) was associated with a higher PWB. There was significant moderating effect of BMI on the association of living arrangements with PWB (P = 0.049). The stratification analyses revealed significant associations between living arrangements and PWB in the normal weight group, while no significant associations were found in the underweight and overweight groups.

conclusionsLiving with family was significantly associated with higher levels of PWB in individuals with MDD, especially among those with a normal BMI. These findings highlight the synergistic effect of living with family and maintaining a healthy BMI on improving PWB in depressed individuals.

Indexed as

Body Mass IndexMajor Depressive DisorderResidence CharacteristicsAdultFemaleHumansMaleMiddle AgedOverweightPsychological Well-BeingThinnessBody mass indexCohort studyLiving arrangementsMajor depressive disorderPsychological well-being

Identifiers

PMID40369520
PMCPMC12076959

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LicenceCC BY-NC-ND
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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.