Evidence map›Paper›PMID 35463534›Full record

ArticleFrontiers in psychiatry2022

Frailty and Incident Depressive Symptoms During Short- and Long-Term Follow-Up Period in the Middle-Aged and Elderly: Findings From the Chinese Nationwide Cohort Study.

Haiyang Liu, Xu Yang, Lei-Lei Guo, Jin-Long Li, Guang Xu, Yunxiao Lei, Xiaoping Li, Lu Sun, Liu Yang, Ting Yuan and 9 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.2field-weighted citation impact, top 14% 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

18 citing papers in PubMed, 19 citations in OpenAlex.

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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

19 authors at 4 institutions in 1 country.

Haiyang LiuStudent Health Center, Wannan Medical College, Wuhu, China.
Xu YangDepartment of Radiotherapy, The First Affiliated Hospital of Jinzhou Medical University, Jinzhou, China.
Lei-Lei GuoDepartment of Surgical Nursing, School of Nursing, Jinzhou Medical University, Jinzhou, China.
Jin-Long LiDepartment of Occupational and Environmental Health, Key Laboratory of Occupational Health and Safety for Coal Industry in Hebei Province, School of Public Health, North China University of Science and Technology, Tangshan, China.
Guang XuDepartment of Radiotherapy, Third Affiliated Hospital of Jinzhou Medical University, Jinzhou, China.
Yunxiao LeiObstetrics and Gynecology Nursing, School of Nursing, Wannan Medical College, Wuhu, China.
Xiaoping LiDepartment of Emergency and Critical Care Nursing, School of Nursing, Wannan Medical College, Wuhu, China.
Lu SunDepartment of Emergency and Critical Care Nursing, School of Nursing, Wannan Medical College, Wuhu, China.
Liu YangDepartment of Internal Medicine Nursing, School of Nursing, Wannan Medical College, Wuhu, China.
Ting YuanObstetrics and Gynecology Nursing, School of Nursing, Wannan Medical College, Wuhu, China.
Congzhi WangDepartment of Internal Medicine Nursing, School of Nursing, Wannan Medical College, Wuhu, China.
Dongmei ZhangDepartment of Pediatric Nursing, School of Nursing, Wannan Medical College, Wuhu, China.
Huanhuan WeiObstetrics and Gynecology Nursing, School of Nursing, Wannan Medical College, Wuhu, China.
Jing LiDepartment of Surgical Nursing, School of Nursing, Wannan Medical College, Wuhu, China.
Mingming LiuDepartment of Surgical Nursing, School of Nursing, Wannan Medical College, Wuhu, China.
Ying HuaRehabilitation Nursing, School of Nursing, Wannan Medical College, Wuhu, China.
Yuanzhen LiDepartment of Emergency and Critical Care Nursing, School of Nursing, Wannan Medical College, Wuhu, China.
Hengying CheDepartment of Nursing, Yijishan Hospital, The First Affiliated Hospital of Wannan Medical College, Wuhu, China.
Lin ZhangDepartment of Internal Medicine Nursing, School of Nursing, Wannan Medical College, Wuhu, China.
Wannan Medical College · CNJinzhou Medical University · CNFirst Affiliated Hospital of Wannan Medical College · CNNorth China University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Prefrailty and frailty are two common conditions among older individuals. Recent studies have reported the association between frailty and depressive symptoms, but whether those conditions could predict depressive symptoms is still inconsistent in a few longitudinal studies. In our study, we aimed to estimate the cross-sectional and longitudinal associations between frailty and incident depressive symptoms in a nationally representative sample of community-dwelling middle-aged and older Chinese adults. Method: Data were obtained from the China Health and Retirement Longitudinal Study (CHARLS), which included 17,284 adults aged ≥ 45 years. Participants were followed every two years using a face-to-face, computer-aided personal interview (CAPI) and structured questionnaire. We excluded participants with no follow-up data. The numbers of individuals who completed the baseline surveys were 2,579 and follow-up surveys were 839 for the short-term (2 years from 2011 to 2013) and 788 for the long-term (4 years from 2011 to 2015). In addition, Frailty was measured by the Fried criteria and depressive symptoms were estimated by the Chinese version of the Center for Epidemiologic Studies-Depression scale (CES-D). Logistic regression was used to analyze the odds ratio (OR), and 95% confidence interval (CI) for the cross-sectional associations of frailty and its components with depressive symptoms in the participants at baseline. Cox proportional hazards analysis was conducted using the hazard ratio (HR), and 95% confidence interval (CI) for the prospective associations of baseline frailty and pre-frailty and its component in the participants without depressive symptoms at baseline. Results: At baseline, 57.93% of participants had depressive symptoms and 55.84% had pre-frail and 11.63% had frailty. In the cross-sectional analysis, both pre-frailty (OR = 5.293, 95%CI 4.363-6.422) and frailty (OR = 16.025, 95%CI 10.948-23.457) were associated with depressive symptoms. In the longitudinal analysis, frailty [HR = 1.395 (0.966-2.013)] and pre-frailty [HR = 2.458 (0.933, 6.479)] were not significantly associated with incident depressive symptoms in a full-adjusted model among participants free of baseline depressive symptoms during the short-term. However, frailty [HR = 1.397 (1.017, 1.920)] and pre-frailty [HR = 2.992 (1.210, 7.397)] were significantly associated with incident depressive symptoms during the short term. In the components of frailty, slowness [HR = 1.597 (1.078, 2.366)] was associated with an increased risk of depressive symptoms onset during the short-term. Weakness [HR = 2.08 (1.055, 4.104)] and exhaustion [HR = 1.928 (1.297, 2.867)] were associated with increased risk of depressive symptoms onset during the short-term. Conclusion: Among the middle-aged and older adults, frailty, pre-frailty did not predict depressive symptoms during 2 years of follow-up, when accounting for the potential confounders, slowness considered alone predicted depressive symptoms. Additionally, frailty, pre-frailty predicted depressive symptoms during 4 years of follow-up, when accounting for the potential confounders, weakness and exhaustion considered alone predicted depressive symptoms.

Indexed as

cohort studydepressive symptomsfrailtyincidencemiddle-aged and elderly

Identifiers

PMID35463534
PMCPMC9021567
OpenAlexW4226016155

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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.