Evidence map›Paper›PMID 28617837›Full record

SynthesisPloS one2017

Risk factors and protective factors associated with incident or increase of frailty among community-dwelling older adults: A systematic review of longitudinal studies.

Zeyun Feng, Marjolein Lugtenberg, Carmen Franse, Xinye Fang, Shanlian Hu, Chunlin Jin, Hein Raat

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 223 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
223citing papers in PubMed, 7 pooled it
16.8field-weighted citation impact, top 1% 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

223 citing papers in PubMed, 7 syntheses or guidelines pooled it, 437 citations in OpenAlex.

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  13. A predictive tool incorporating frailty scores for perioperative risk assessment in patients with spinal metastasis: a national retrospective cohort study.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026
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163 more citing papers are in PubMed but not listed here.

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

7 authors at 2 institutions in 2 countries.

Zeyun FengDepartment of Public Health, Erasmus University Medical Center, Rotterdam, The Netherlands.ORCID http://orcid.org/0000-0003-4723-6283
Marjolein LugtenbergDepartment of Public Health, Erasmus University Medical Center, Rotterdam, The Netherlands.
Carmen FranseDepartment of Public Health, Erasmus University Medical Center, Rotterdam, The Netherlands.
Xinye FangDepartment of Public Health, Erasmus University Medical Center, Rotterdam, The Netherlands.
Shanlian HuShanghai Health Development Research Center (Shanghai Medical Information Center), Shanghai, China.
Chunlin JinShanghai Health Development Research Center (Shanghai Medical Information Center), Shanghai, China.
Hein RaatDepartment of Public Health, Erasmus University Medical Center, Rotterdam, The Netherlands.
Erasmus MC · NLShanghai Medical Information Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionFrailty is one of the greatest challenges facing our aging population, as it can lead to adverse outcomes such as institutionalization, hospitalization, and mortality. However, the factors that are associated with frailty are poorly understood. We performed a systematic review of longitudinal studies in order to identify the sociodemographic, physical, biological, lifestyle-related, and psychological risk or protective factors that are associated with frailty among community-dwelling older adults.

methodsA systematic literature search was conducted in the following databases in order to identify studies that assessed the factors associated with of frailty among community-dwelling older adults: Embase, Medline Ovid, Web of Science, Cochrane, PsychINFO Ovid, CINAHL EBSCOhost, and Google Scholar. Studies were selected if they included a longitudinal design, focused on community-dwelling older adults aged 60 years and older, and used a tool to assess frailty. The methodological quality of each study was assessed using the Quality of Reporting of Observational Longitudinal Research checklist.

resultsTwenty-three studies were included. Significant associations were reported between the following types of factors and frailty: sociodemographic factors (7/7 studies), physical factors (5/6 studies), biological factors (5/7 studies), lifestyle factors (11/13 studies), and psychological factors (7/8 studies). Significant sociodemographic factors included older age, ethnic background, neighborhood, and access to private insurance or Medicare; significant physical factors included obesity and activities of daily living (ADL) functional status; significant biological factors included serum uric acid; significant lifestyle factors included a higher Diet Quality Index International (DQI) score, higher fruit/vegetable consumption and higher tertile of all measures of habitual dietary resveratrol exposure; significant psychological factors included depressive symptoms.

conclusionsA broad range of sociodemographic, physical, biological, lifestyle, and psychological factors show a longitudinal association with frailty. These factors should be considered when developing interventions aimed at preventing and/or reducing the burden associated with frailty among community-dwelling older adults.

Indexed as

Nutritional StatusActivities of Daily LivingAgedAged, 80 and overFemaleFrail ElderlyHumansLongitudinal StudiesMaleRisk Factors

Identifiers

PMID28617837
PMCPMC5472269
OpenAlexW2626144669

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.