Evidence map›Paper›PMID 39704097›Full record

ArticleInternational journal of methods in psychiatric research2024

The Relationship Between BRI and Depressive Symptoms in Chinese Older Adults: A CLHLS-Based Study.

Yan Wang, Yuting Yang, Wanning Wang, Qiao Chen, Wangping Jia, Ling Li

Abstract read
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Article in International journal of methods in psychiatric research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Yan WangDepartment of Medical Psychology, Daping Hospital, Army Medical University, Chongqing, China.ORCID 0009-0007-2296-562X
Yuting YangDepartment of Medical Psychology, Daping Hospital, Army Medical University, Chongqing, China.
Wanning WangDepartment of Medical Psychology, Daping Hospital, Army Medical University, Chongqing, China.
Qiao ChenDepartment of Combat Casualty and Health Service, Daping Hospital, Army Medical University, Chongqing, China.
Wangping JiaDepartment of Wound Infection and Drug, Daping Hospital, Army Medical University, Chongqing, China.
Ling LiDepartment of Medical Psychology, Daping Hospital, Army Medical University, Chongqing, China.

Funding

Chongqing medical scientific research project Joint project of Chongqing Health Commission and Science and Technology Bureau Grant No. 2023QNXM003General project of Chongqing Natural Science Foundation Grant No. CSTB2022NSCQ-MSX1082medical technology innovation project of Shijiazhuang Science and Technology Bureau Grant No. 211201253
6 · The paper itself

Abstract

backgroundThere is a lack of research examining the association between obesity and depressive symptoms in relation to mental health. This study aimed to examine the correlation between Body Roundness Index (BRI) and depressive symptoms in elderly Chinese individuals.

methodsThe study sample consisted of 11,842 individuals aged 65 years or older from the 2018 Chinese Longitudinal Health Longevity Survey (CLHLS) database. A multivariate logistic regression analysis was used to investigate how BRI affects the likelihood of experiencing depressive symptoms, with restricted cubic spline (RCS) curves illustrating this impact. BRI values were calculated using a predefined formula for each participant, and depressive status was assessed using the Center for Epidemiologic Studies Depression Scale (CES-D-10).

resultsThe mean age of the participants was 83.1 ± 10.9 years. A non-linear relationship was identified between the BRI score and the risk of depressive symptoms. The analysis showed that for BRI scores below 5.17, there was a significant 9% increase in the risk of depressive symptoms for every 1-point decrease in BRI score. Conversely, when the BRI was 5.17 or higher, a decrease in the BRI score did not lead to a significant increase in the risk of depressive symptoms.

conclusionThe study demonstrated a significant association between BRI and depressive symptoms in elderly Chinese individuals. Furthermore, it was noted that older adults classified as overweight and mildly obese had a lower likelihood of experiencing depressive symptoms and demonstrated improved mental health.

Indexed as

DepressionAgedAged, 80 and overChinaEast Asian PeopleFemaleHealth SurveysHumansLongitudinal StudiesMaleObesitybody roundness index (BRI)CLHLSdepressive symptomsolder adults

Identifiers

PMID39704097
PMCPMC11659814

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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.