Fall Risk Factors in the Mexican American Population: An Analysis Using the WHO Falls Risk Factor Model

Abstract Background Falls are a serious cause of injury, disability, and death among older adults. However, there is limited research that shows the World Health Organization (WHO) falls classification model has been applied to very old Mexican American populations. This study examined fall rates and associated risk factors among Mexican Americans aged 89 and above using the WHO model. Methods This study uses data from Wave 10 (2020–2021) of the Hispanic Established Populations for the Epidemiologic Study of the Elderly (HEPESE). Results The sample was composed of 66.4% females, with a mean age of 93.84 years (SD = 2.78, range = 89–103 years). 73.2% of respondents had mild cognitive impairment. The fall rate was 39.7%, with 20% of participants experiencing multiple falls, and 16.8% of falls leading to injury. Additionally, 74.3% of respondents reported a fear of falling. According to the WHO falls risk model, in the biological domain, fallers scored lower on Instrumental Activities of Daily Living (IADL) and Activities of Daily Living (ADL), had higher depression rates, and more often had dementia. In the socioeconomic domain, marital status differed significantly between fallers and non-fallers. In the environmental domain, homeownership was significantly associated with fall status. Conclusion Applying the WHO fall risk factor model revealed multiple areas of vulnerability in very old Mexican Americans. Cognitive and functional impairments, environmental factors, and marital status are significant factors that increase the risk of falls. These findings underscore the importance of culturally tailored, comprehensive fall prevention programs for this aging population.

Authors

Institutions

Publication Details

Journal
Innovation in Aging
Published
2025-12-01
DOI
https://doi.org/10.1093/geroni/igaf122.3769
Primary Topic
Balance, Gait, and Falls Prevention
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Fall Risk Factors in the Mexican American Population: An Analysis Using the WHO Falls Risk Factor Model

Hadi Kooshiar, Faezeh Babaieasl
Innovation in Aging
Balance, Gait, and Falls Prevention
article

Fall Risk Factors in the Mexican American Population: An Analysis Using the WHO Falls Risk Factor Model

Hadi Kooshiar, Faezeh Babaieasl
article en

Abstract

Abstract Background Falls are a serious cause of injury, disability, and death among older adults. However, there is limited research that shows the World Health Organization (WHO) falls classification model has been applied to very old Mexican American populations. This study examined fall rates and associated risk factors among Mexican Americans aged 89 and above using the WHO model. Methods This study uses data from Wave 10 (2020–2021) of the Hispanic Established Populations for the Epidemiologic Study of the Elderly (HEPESE). Results The sample was composed of 66.4% females, with a mean age of 93.84 years (SD = 2.78, range = 89–103 years). 73.2% of respondents had mild cognitive impairment. The fall rate was 39.7%, with 20% of participants experiencing multiple falls, and 16.8% of falls leading to injury. Additionally, 74.3% of respondents reported a fear of falling. According to the WHO falls risk model, in the biological domain, fallers scored lower on Instrumental Activities of Daily Living (IADL) and Activities of Daily Living (ADL), had higher depression rates, and more often had dementia. In the socioeconomic domain, marital status differed significantly between fallers and non-fallers. In the environmental domain, homeownership was significantly associated with fall status. Conclusion Applying the WHO fall risk factor model revealed multiple areas of vulnerability in very old Mexican Americans. Cognitive and functional impairments, environmental factors, and marital status are significant factors that increase the risk of falls. These findings underscore the importance of culturally tailored, comprehensive fall prevention programs for this aging population.

Innovation in AgingVol. 9(Supplement_2)
Texas A&M University – Corpus Christi (US)
Openalex Percentile: Top 21%
Balance, Gait, and Falls Prevention
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.