Evidence map›Paper›PMID 39138460›Full record

ArticleBMC public health2024

Predictive role of depressive symptoms on frailty and its components in Chinese middle-aged and older adults: a longitudinal analysis.

Yuanhao Sun, Xiangdong Li, Haiyang Liu, Yuqing Li, Jiaofeng Gui, Xiaoyun Zhang, Xiaoping Li, Lu Sun, Congzhi Wang, Jing Li and 7 more

Abstract read
In one paragraph

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
–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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Frailty Prediction Model for Elderly Diabetic Peripheral Neuropathy Patients.Diabetes, metabolic syndrome and obesity : targets and therapy · 2025
    Article
  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors.

Yuanhao SunDepartment of Graduate School, Wannan Medical College, Wuhu, An Hui, P.R. China.
Xiangdong LiDepartment of Gerontology, Yijishan Hospital, The First Affiliated Hospital of Wannan Medical College, Zheshan West Road, Yijishan District, Wuhu City, Anhui Province, P.R. China.
Haiyang LiuStudent Health Center, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, P.R. China.
Yuqing LiDepartment of Graduate School, Wannan Medical College, Wuhu, An Hui, P.R. China.
Jiaofeng GuiDepartment of Graduate School, Wannan Medical College, Wuhu, An Hui, P.R. China.
Xiaoyun ZhangDepartment of Graduate School, Wannan Medical College, Wuhu, An Hui, P.R. China.
Xiaoping LiDepartment of Emergency and Critical Care Nursing, School of Nursing, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, P.R. China.
Lu SunDepartment of Emergency and Critical Care Nursing, School of Nursing, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, P.R. China.
Congzhi WangDepartment of Internal Medicine Nursing, School of Nursing, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, P.R. China.
Jing LiDepartment of Surgery Nursing, School of Nursing, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, P.R. China.
Mingming LiuDepartment of Surgery Nursing, School of Nursing, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, P.R. China.
Dongmei ZhangDepartment of Pediatric Nursing, School of Nursing, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, P.R. China.
Jingyi GaoDepartment of Nursing School, Wannan Medical College, Wuhu, An Hui, P.R. China.
Xuefeng KangDepartment of Nursing School, Wannan Medical College, Wuhu, An Hui, P.R. China.
Yunxiao LeiDepartment of Gynecology and Obstetrics Nursing, School of Nursing, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, P.R. China.
Lin Zhang *Department of Internal Medicine Nursing, School of Nursing, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, P.R. China.
Ting Yuan *Department of Gynecology and Obstetrics Nursing, School of Nursing, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, P.R. China. yuanting@wnmc.edu.cn.

Funding

Scientific Research Projects of universities in Anhui Province 2023AH051730
6 · The paper itself

Abstract

backgroundTo investigate the cross-sectional and longitudinal associations between depressive symptoms and the prevalence of frailty and its components in a nationally representative sample of middle-aged and older Chinese adults.

methodThe China Health and Retirement Longitudinal Study (CHARLS) provided data on 2581 (after inclusion and exclusion criteria) adults aged ≥ 45 years. Every two years, face-to-face, computer-aided personal interviews (CAPI), and structured questionnaires were used to follow up with the respondents. The Chinese version of the Center for Epidemiologic Studies-Depression Scale (CES-D) was used to evaluate depressive symptoms, and the Fried criteria were used to measure frailty. The odds ratio (OR) and 95% confidence interval (CI) for the association of exposure (depressive symptoms at baseline) with the onset of the outcome (frailty and its components) in the individuals at baseline were analyzed by binary logistic regression.

resultsAt baseline, 11.62% of participants had frailty, and 57.92% had depressive symptoms. In the cross-sectional analysis, depressive symptoms (OR = 5.222, 95%CI 3.665-7.442) were associated with frailty. In the longitudinal analysis, after adjusting for the full set of covariates among participants free of baseline frailty, depressive symptoms were significantly associated with incident frailty during the short term (OR = 2.193, 95%CI 1.324-3.631) and the long term (OR = 1.926, 95%CI 1.021-3.632). Meanwhile, depressive symptoms were associated with an increased risk of weakness (OR = 1.990, 95%CI 1.250-3.166), slowness (OR = 1.395, 95%CI 1.044-1.865), and exhaustion (OR = 2.827, 95%CI 2.150-3.719) onset during the short-term. Depressive symptoms were associated with an increased risk of exhaustion (OR = 2.869, 95%CI 2.004-4.109) onset during the long-term.

conclusionAmong middle-aged and older adults, depressive symptoms could predict frailty during 2 years of follow-up and 4 years of follow-up. When considering potential confounding factors, depressive symptoms were considered a predictor of weakness, slowness, and exhaustion. Interventions aimed at preventing depressive symptoms may be beneficial in reducing frailty and its components.

Indexed as

DepressionFrailtyAgedAged, 80 and overChinaCross-Sectional StudiesFemaleFrail ElderlyHumansLongitudinal StudiesMaleMiddle AgedPrevalenceSurveys and QuestionnairesCohort studyDepressive symptomsFrailtyMiddle-aged and older adults

Identifiers

PMID39138460
PMCPMC11321163

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

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.