Evidence map›Paper›PMID 42625614›Full record

Observational studyFrontiers in public health2026

Dual-task timed up and go performance and sleep quality in relation to fall history in older adults with type 2 diabetes: a cross-sectional study.

Xiaorui Zhang, Shan Wang, Chiyu Sun, Shushu Li, Yushi Hu

Abstract readObservational Study
In one paragraph

Observational study in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Xiaorui ZhangSchool of Sports Medicine and Health, Chengdu Sport University, Chengdu, China.
Shan WangDepartment of Endocrinology, Affiliated Hospital of Chengdu University, Chengdu, China.
Chiyu SunTaizhou Polytechnic College, Taizhou, China.
Shushu LiSchool of Sports Medicine and Health, Chengdu Sport University, Chengdu, China.
Yushi HuSchool of Sports Medicine and Health, Chengdu Sport University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Emerging evidence indicates that individuals with type 2 diabetes mellitus (T2DM) have a higher incidence of falls compared to individuals without diabetes, likely due to impairments in both motor and cognitive function. To guide targeted prevention strategies, this study aims to investigate the association between TUG-DT performance, postural control, sleep quality, depression, and lifestyle habits and fall history in middle-aged and older adults with T2DM. Methods: A cross-sectional, observational study involved 60 participants aged over 50, comprising 30 patients with T2DM and 30 age- and gender-matched healthy controls. The T2DM cohort was further stratified into faller and non-faller subgroups. Assessments included: (1) mobility via TUG and TUG-DT; (2) balance and fear of falling via postural stability and the Falls Efficacy Scale International (FES-I); (3) Psychosocial and sleep status using Center for Epidemiologic Studies Depression Scale (CES-D), and Pittsburgh Sleep Quality Index (PSQI); (4) lifestyle factors, including smoking, alcohol, tea intake, and exercise status. Results: Significant differences were observed in TUG ( Conclusion: The TUG-DT test is sensitive to detecting declines in functional mobility associated with T2DM. However, the history of falls in individuals with T2DM is primarily influenced by behavioral and psychological factors rather than isolated motor metrics. Poor sleep quality, indicated by a PSQI score greater than 9.5, emerges as a critical correlate of falls. Therefore, the risk of falls in individuals with T2DM is a multidimensional construct.

Indexed as

Accidental FallsDiabetes Mellitus, Type 2Sleep QualityAgedCase-Control StudiesCross-Sectional StudiesDual-Task TestsFemaleHumansMaleMiddle AgedPostural Balancedual-taskfallsolder adultssleep qualitytype 2 diabetes mellitus

Identifiers

PMID42625614
PMCPMC13489927

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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.