Evidence map›Paper›PMID 42321637›Full record

ArticleBMC geriatrics2026

Preventive behaviors associated with fall incidence among older adults living in rural communities of Thailand: a cross-sectional study.

Rujira Nonsa-Ard, Sirapat Khodseewong, Kasama Wongprachum, Chaiwut Bourneow, Ploypailin Aneknan, Sumattana Glangkarn, Davina Porock

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Article in BMC geriatrics, 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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Rujira Nonsa-ArdFaculty of Public Health, Mahasarakham University, Kantharawichai District, Mahasarakham, 44150, Thailand.
Sirapat KhodseewongFaculty of Public Health, Mahasarakham University, Kantharawichai District, Mahasarakham, 44150, Thailand.
Kasama WongprachumFaculty of Public Health, Mahasarakham University, Kantharawichai District, Mahasarakham, 44150, Thailand.
Chaiwut BourneowFaculty of Public Health, Mahasarakham University, Kantharawichai District, Mahasarakham, 44150, Thailand.
Ploypailin AneknanFaculty of Public Health, Mahasarakham University, Kantharawichai District, Mahasarakham, 44150, Thailand.
Sumattana GlangkarnFaculty of Public Health, Mahasarakham University, Kantharawichai District, Mahasarakham, 44150, Thailand. Sumattana.g@msu.ac.th.ORCID 0000-0002-5905-9387
Davina PorockFaculty of Public Health, Mahasarakham University, Kantharawichai District, Mahasarakham, 44150, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe escalating population of older adults poses a significant challenge, particularly in lower-middle-income countries like Thailand. Falls represent a critical public health concern in this demographic. This study aimed to identify risk factors influencing fall occurrence in older adults within a specific rural community context, where the majority of participants remain engaged in farm work.

methodsA cross-sectional study design was utilized, involving 1,256 participants recruited by the multistage random sampling approach. Data were collected via a questionnaire that included: demographic information, the Thai version of the Barthel Activities of Daily Living (ADL), the Thai Fall Risk Assessment Tool (Thai-FRAT), House Risk Assessment, the Timed Up and Go Test (TUGT), the Oxford Knee Score (OKS), and an assessment of fall prevention behaviors. Principal Component Analysis (PCA) was employed to classify groups of fall prevention behaviors, and binary logistic regression was used to determine the association between these factors and fall incidence.

resultsThe sample was predominantly female (73.2%), with more than half of the participants aged over 70 years (51.0%; mean age 70.6 ± 7.2 years old) and 93.1% having six or fewer years of education. The results indicated that 34.5% of participants had experienced at least one fall within the preceding six months. PCA categorized fall prevention behaviors into five factors: environmental safety and house management Cronbach's α = 0.840), appropriate clothing and footwear Cronbach's α = 0.774), physical activity and safe medication (Cronbach's α = 0.701), self-management (Cronbach's α = 0.495), and movement and mobility safety (Cronbach's α = 0.597). In the crude analysis, fall incidence was significantly associated with environmental safety and house management (Crude OR = 0.45, p = 0.004) and appropriate clothing and footwear (Crude OR = 0.52, p = 0.016). After adjusting for age, education, OKS, and TUGT, only the association with environmental safety and house management (aOR = 0.55, p = 0.041) and movement and mobility safety remained statistically significant (aOR = 0.64, p = 0.041).

conclusionThese findings from a rural context suggest that promoting environmental safety and proper house management may be the most crucial and resilient strategy for reducing fall incidence among older adults. However, fall prevention in older adults is an interplay of multiple factors, all factors identified must be considered in comprehensive intervention strategies.

Indexed as

Accidental FallsActivities of Daily LivingHealth BehaviorRural PopulationAgedAged, 80 and overCross-Sectional StudiesFemaleHumansIncidenceMaleRisk FactorsThailandBehaviorCommunity-dwelling older adultsFallsPrevention

Identifiers

PMID42321637
PMCPMC13531808

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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.