Evidence map›Paper›PMID 42784439›Full record

ArticleJournal of diabetes research2026

Factors Associated With Falls Among the Elderly With Type 2 Diabetes in Urban Shanghai: A Cross-Sectional Study.

Zhenping Lu, Hui Gao, Huiyao Zhu, Dong Chen, Yinzhu Zhuang, Lei Zhang, Li Yu, Qinghua Xia, Yu Jiang

Abstract read
In one paragraph

Article in Journal of diabetes research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
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

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

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

9 authors.

Zhenping LuThe Shanghai Changning District Center for Disease Control and Prevention (Changning District Health Supervision Institute), Shanghai, China.ORCID https://orcid.org/0000-0001-7367-6667
Hui GaoThe Shanghai Changning District Center for Disease Control and Prevention (Changning District Health Supervision Institute), Shanghai, China.ORCID https://orcid.org/0000-0002-7187-7323
Huiyao ZhuThe Shanghai Changning District Center for Disease Control and Prevention (Changning District Health Supervision Institute), Shanghai, China.ORCID https://orcid.org/0009-0002-5248-891X
Dong ChenThe Shanghai Changning District Center for Disease Control and Prevention (Changning District Health Supervision Institute), Shanghai, China.ORCID https://orcid.org/0009-0007-9241-1008
Yinzhu ZhuangThe Shanghai Changning District Center for Disease Control and Prevention (Changning District Health Supervision Institute), Shanghai, China.ORCID https://orcid.org/0009-0001-0904-7185
Lei ZhangThe Shanghai Changning District Center for Disease Control and Prevention (Changning District Health Supervision Institute), Shanghai, China.ORCID https://orcid.org/0009-0007-4062-102X
Li YuThe Shanghai Changning District Center for Disease Control and Prevention (Changning District Health Supervision Institute), Shanghai, China.ORCID https://orcid.org/0009-0003-3109-3326
Qinghua XiaThe Shanghai Changning District Center for Disease Control and Prevention (Changning District Health Supervision Institute), Shanghai, China.ORCID https://orcid.org/0000-0003-4430-8915
Yu JiangThe Shanghai Changning District Center for Disease Control and Prevention (Changning District Health Supervision Institute), Shanghai, China.ORCID https://orcid.org/0000-0002-3157-9620

Funding

Shanghai New Three-year Action Plan for Public Health GWVI-11.2-XD05The Master and Doctoral-level innovative talent program on "Multi-Dimensional Diabetes Management" RCJD2021S06
6 · The paper itself

Abstract

aimThis study is aimed at identifying the factors associated with falls among community-dwelling elderly individuals with Type 2 diabetes mellitus (T2DM) in urban Shanghai, China.

methodsThe study analyzed data from 842 diabetic patients aged 60 years or older. Information about associated factors and main outcome measures was collected using structured questionnaires. Chi-square tests and binary logistic regression were used to identify factors associated with falls.

resultsAmong the participants, 239 (28.4%) experienced at least one fall and 41 (17.2%) of these fallers had recurrent falls in the past 1 year. Univariate analysis identified a range of potential factors for falls, including physical impairments (e.g., dizziness, fatigue, unsteadiness), psychological factors (e.g., depression, activity restriction due to fear of falling), and adverse lifestyle factors (e.g., inactivity, poor sleep, frequent nocturia) (p < 0.05). Logistic regression analysis revealed that balance test score (OR = 1.687, 95% CI: 1.162-2.447, p = 0.006), PHQ-9 depression category (OR = 1.663, 95% CI: 1.028-2.691, p = 0.038) and activity restriction due to fear of falling (OR = 2.503, 95% CI: 1.752-3.575, p < 0.001) were independently associated with falls. For recurrent falls, activity restriction due to fear of falling remained significantly associated across models (OR range: 2.045-2.165, p < 0.05).

conclusionFalls were common among elderly diabetic residents in urban Shanghai, and multiple factors were identified as potential correlates. Our findings support the use of multidomain screening to identify high-risk individuals for falls and to inform targeted assessment approaches, warranting further prospective investigations.

Indexed as

Accidental FallsDiabetes Mellitus, Type 2AgedAged, 80 and overChinaCross-Sectional StudiesDepressionFemaleHumansLogistic ModelsMaleMiddle AgedPostural BalanceRisk FactorsSurveys and QuestionnairesUrban Populationassociated factorselderlyfallsType 2 diabetes mellitus

Identifiers

PMID42784439
PMCPMC13606027

What Socratic holds

Textmetadata
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.