Evidence map›Paper›PMID 41427979›Full record

ArticleAging clinical and experimental research2025

Factors associated with geriatric syndromes in older adults with type 2 diabetes.

Chia-Ling Lin, Hsueh-Ching Wu, Neng-Chun Yu, Yuan-Ching Liu, Wu-Chien Chien

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Article in Aging clinical and experimental research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

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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

5 authors.

Chia-Ling LinDepartment of Nursing, Chang Gung University of Science and Technology, Taoyuan, Taiwan.ORCID http://orcid.org/0000-0002-0822-8072
Hsueh-Ching WuDepartment of Nursing, Hsin Sheng Junior College of Medical Care and Management, Taoyuan, Taiwan.
Neng-Chun YuNeng-Chun Diabetes Clinic, Yilan, Taiwan.
Yuan-Ching LiuNeng-Chun Diabetes Clinic, Yilan, Taiwan.
Wu-Chien ChienGraduate Institute of Public Health, College of Public Health, National Defense Medical University, Taipei, Taiwan. chienwu@mail.ndmctsgh.edu.tw.

Funding

Tri-Service General Hospital Research Foundation TSGH-B-114022；TSGH-A-114010
6 · The paper itself

Abstract

aimsThe purpose of this study was to estimate the prevalence of geriatric syndrome (GS) in patients with type 2 diabetes(T2D) and analyse the factors associated with GS in T2D patients.

methodsWe conducted a cross-sectional study of 248 community-dwelling older adults with T2D. GS was assessed using the Activities of Daily Living (ADL), Mini-Mental State Examination (MMSE), Taiwan Geriatric Depression Scale (TGDS), handgrip strength, and 5-m walking speed. Multivariate logistic regression was applied to examine factors associated with each syndrome.

resultsThe mean age of participants was 73.9 ± 5.9 years. The prevalence of functional dependence, depressive symptoms, cognitive impairment, and falls was 17.7%, 18.5%, 12.9%, and 19.4%, respectively. After adjusting for potential confounders, slower walking speed (< 0.7 m/s) was significantly associated with higher risks of functional dependence, depressive symptoms, and falls. In addition, each 1-kg increase in handgrip strength was associated with 13% lower odds of cognitive impairment.

conclusionSlower walking speed was associated with functional dependence, depressive symptoms, and falls in older adults withT2D. Greater handgrip strength was inversely associated with cognitive impairment. Assessing these simple measures may help identify individuals at risk for multidimensional decline at an early stage.

Indexed as

Diabetes Mellitus, Type 2Accidental FallsActivities of Daily LivingAgedAged, 80 and overCognitive DysfunctionCross-Sectional StudiesDepressionFemaleGeriatric AssessmentHand StrengthHumansMalePrevalenceRisk FactorsSyndromeCognitive impairmentGeriatric syndromesGrip strengthType 2 diabeticsWalking speed

Identifiers

PMID41427979
PMCPMC12722422

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.