Evidence map›Paper›PMID 26099794›Full record

ArticleBMC medicine2015

Prevalence, risk factors and disability associated with fall-related injury in older adults in low- and middle-incomecountries: results from the WHO Study on global AGEing and adult health (SAGE).

Jennifer Stewart Williams, Paul Kowal, Heather Hestekin, Tristan O'Driscoll, Karl Peltzer, Alfred Yawson, Richard Biritwum, Tamara Maximova, Aarón Salinas Rodríguez, Betty Manrique Espinoza and 4 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in BMC medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05771818 (A Community-Based Falls Prevention Program for Adults At-Risk for Falls), which is not on this map. Cited by 116 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
116citing papers in PubMed, 3 pooled it
20.3field-weighted citation impact, top 1% of its field
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.

NCT05771818 naunknown statusnot on this mapstarted 2020, after this paper: background citation

A Community-Based Falls Prevention Program for Adults At-Risk for Falls

TypeinterventionalSponsorUniversity of St. Augustine for Health SciencesRan2020 to 2026Enrolled150ConditionsAccidental Fall, Neurologic Disorder, Old Age, DebilityArmsFalls Prevention Program
3 · Its place in the literature

Who cites it

116 citing papers in PubMed, 3 syntheses or guidelines pooled it, 268 citations in OpenAlex.

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  6. Burden and Determinants of Fall and its Related Injuries in the Elderly Population of Uttarakhand, India: A Community-based Cross-sectional Study.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine · 2026
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  19. When Pedestrian Crossings Become Danger Zones: Trauma and Mortality Risks in Elderly Pedestrians.International journal of environmental research and public health · 2025
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56 more citing papers are in PubMed but not listed here.

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

14 authors at 8 institutions in 12 countries.

Jennifer Stewart WilliamsResearch Centre for Gender, Health and Ageing, Faculty of Health, University of Newcastle, Newcastle, Australia. jennifer.stewart.williams@epiph.umu.se.
Paul KowalResearch Centre for Gender, Health and Ageing, Faculty of Health, University of Newcastle, Newcastle, Australia. kowalp@who.int.
Heather HestekinUniversity of Southern California, Los Angeles, USA. hhestekin@gmail.com.
Tristan O'DriscollMidwestern University Chicago College of Pharmacy, Chicago, USA. todris@midwestern.edu.
Karl PeltzerHuman Sciences Research Council, Pretoria, South Africa. kpeltzer@hsrc.ac.za.
Alfred YawsonDepartment of Community Health, University of Ghana, Accra, Ghana. aeyawson@yahoo.com.
Richard BiritwumDepartment of Community Health, University of Ghana, Accra, Ghana. biritwum@africaonline.com.gh.
Tamara MaximovaNational Research Institute of Public Health (FSBI, RAMS), Moscow, Russian Federation. tmaximova@mail.ru.
Aarón Salinas RodríguezCenter for Evaluation Research and Surveys, National Institute of Public Health, Cuernavaca, Morelos, Mexico. asalinas@insp.mx.
Betty Manrique EspinozaCenter for Evaluation Research and Surveys, National Institute of Public Health, Cuernavaca, Morelos, Mexico. bmanrique@insp.mx.
Fan WuShanghai Municipal Center for Disease Control and Prevention, Shanghai, China. wufan@scdc.sh.cn.
Perianayagam ArokiasamyInternational Institute of Population Sciences, Mumbai, India. parokiasamy@iips.net.
Somnath ChatterjiSurveys, Measurement and Analysis Unit, World Health Organization, Geneva, Switzerland. chatterjis@who.int.
SAGE collaborators
Human Sciences Research Council · ZAInternational Institute for Population Sciences · INNational Institute of Public Health · SIUniversity of Ghana · GHUniversity of Southern California · USWorld Health Organization · CHInstituto Nacional de Salud Pública · MXUniversity of Newcastle Australia · AU

Funding

Towards improving the measurement of health and disability trends, the compressioR01AG034479 · NIA · WORLD HEALTH ORGANIZATION · PI CHATTERJI, SOMNATH · 2010 to 2014
$5.3M
NIA NIH HHS R01 AG034479NIA NIH HHS R01-AG034479World Health Organization 001
6 · The paper itself

Abstract

backgroundIn 2010 falls were responsible for approximately 80 % of disability stemming from unintentional injuries excluding traffic accidents in adults 50 years and over. Falls are becoming a major public health problem in low- and middle-income countries (LMICs) where populations are ageing rapidly.

methodsNationally representative standardized data collected from adults aged 50 years and over participating in the World Health Organization (WHO) Study on global AGEing and adult health (SAGE) Wave 1 in China, Ghana, India, Mexico, the Russian Federation and South Africa are analysed. The aims are to identify the prevalence of, and risk factors for, past-year fall-related injury and to assess associations between fall-related injury and disability. Regression methods are used to identify risk factors and association between fall-related injury and disability. Disability was measured using the WHO Disability Assessment Schedule Version 2.0 (WHODAS 2.0).

resultsThe prevalence of past-year fall-related injuries ranged from 6.6 % in India to 1.0 % in South Africa and was 4.0 % across the pooled countries. The proportion of all past-year injuries that were fall-related ranged from 73.3 % in the Russian Federation to 44.4 % in Ghana. Across the six countries this was 65.7 %. In the multivariable logistic regression, the odds of past-year fall-related injury were significantly higher for: women (OR: 1.27; 95 % CI: 0.99,1.62); respondents who lived in rural areas (OR: 1.36; 95 % CI: 1.06,1.75); those with depression (OR: 1.43; 95 % CI: 1.01,2.02); respondents who reported severe or extreme problems sleeping (OR: 1.54; 95 % CI: 1.15,2.08); and those who reported two or more (compared with no) chronic conditions (OR: 2.15; 95 % CI: 1.45,3.19). Poor cognition was also a significant risk factor for fall-related injury. The association between fall-related injury and the WHODAS measure of disability was highly significant (P<0.0001) with some attenuation after adjusting for confounders. Reporting two or more chronic conditions (compared with none) was significantly associated with disability (P<0.0001).

conclusionsThe findings provide a platform for improving understanding of risk factors for falls in older adults in this group of LMICs. Clinicians and public health professionals in these countries must be made aware of the extent of this problem and the need to implement policies to reduce the risk of falls in older adults.

Indexed as

Accidental FallsWounds and InjuriesAgedChinaChronic DiseaseDepressionDeveloping CountriesDisability EvaluationFemaleGhanaHumansIndiaLogistic ModelsMaleMexicoMiddle Aged

Identifiers

PMID26099794
PMCPMC4495610
OpenAlexW1511023304

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.