Evidence map›Paper›PMID 41735918›Full record

ArticleBMC public health2026

Risk factors for falls among older adults in China: a cross-sectional study.

Tingming Lei, Dehua Li

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC 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.

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

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

2 authors.

Tingming LeiSchool of Public Administration, Xiangtan University, Xiangtan, Hunan Province, 411105, China.
Dehua LiSchool of Public Administration, Xiangtan University, Xiangtan, Hunan Province, 411105, China. 202021000522@smail.xtu.edu.cn.

Funding

Postgraduate Scientific Research Innovation Project of Hunan Province CX20240632
6 · The paper itself

Abstract

Falls among older adults are a significant public health concern. This study aims to explore and analyze the risk factors associated with falls among older adults in China, in order to develop appropriate interventions to minimize fall risk. Using data from the China Health and Retirement Longitudinal Study, this study analyzes the incidence of falls and employs a logistic regression model to identify the influencing factors. A total of 8,170 samples were included in the analysis. Results show that the overall incidence of falls among older adults is 18.29%. Being female, older age, poor self-rated health, depression, difficulty with activities of daily living (ADL), chronic diseases, physical pain, drinking, short sleep duration, dissatisfaction with life, and dissatisfaction with children were all significantly associated with a higher likelihood of falls. With the aging population accelerating, falls among older adults are becoming increasingly serious, severely affecting their daily functioning and quality of life. Therefore, greater attention should be paid to these risk factors, and timely, targeted prevention and intervention strategies should be implemented to effectively reduce fall incidence.

Indexed as

Accidental FallsActivities of Daily LivingAgedAged, 80 and overChinaCross-Sectional StudiesFemaleHumansIncidenceLongitudinal StudiesMaleMiddle AgedRisk FactorsChinaFallsInfluencing factorsOlder adultsRisk factors

Identifiers

PMID41735918
PMCPMC13041358

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.