Evidence map›Paper›PMID 37794341›Full record

ArticleBMC geriatrics2023

Assessment of fall-associated risk factors in the Muslim community-dwelling older adults of Peshawar, Khyber Pakhtunkhwa, Pakistan.

Rashida Bibi, Zhang Yan, Muhammad Ilyas, Mussarat Shaheen, Satya Narayan Singh, Akhter Zeb

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in BMC geriatrics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
12.4field-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.

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

8 citing papers in PubMed, 17 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 5 institutions in 3 countries.

Rashida BibiInstitution of Nursing and Health Sciences, Zhengzhou University, Zhengzhou, Henan, China. aalleen.zeb@gmail.com.
Zhang YanInstitution of Nursing and Health Sciences, Zhengzhou University, Zhengzhou, Henan, China. zhangyan2010@zzu.edu.cn.
Muhammad IlyasSchool of Nursing, Iqra National University, Peshawar, Khyber Pakhtunkhwa, Pakistan.
Mussarat ShaheenGovernment Nursing College Abbottabad, Khyber Pakhtunkhwa, Pakistan.
Satya Narayan SinghTorrens University, Adelaide, South Australia, Australia.
Akhter ZebIsmail College of Nursing Sawat, Khyber Pakhtunkhwa, Pakistan.
Government of Khyber Pakhtunkhwa · PKIqra National University · PKTorrens University Australia · AUZhengzhou University · CNZhengzhou University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFalls are the third-leading cause of disability among the elderly population worldwide. It is multifactorial, and the occurrence of falls depends on different factors, which can be different from context to context, and individual to individual. Therefore, regular assessment of fall risk factors is required to develop a strategy for fall prevention. The study aimed to identify fall-related risk factors in Pakistani healthy older adults at risk of developing physical disabilities. It also aimed to create a risk-predictive model for fall occurrence, offering evidence for preventive strategies.

methodsData were collected from 140 Muslim older adults from two residential areas of Peshawar, Khyber Pakhtunkhwa, from July 2022 to August 25, 2022, after obtaining permission from the Zhengzhou University Ethical Review Board (ZZUIRB #202,254), and the District Health Department Office (DHO #14,207). Participants were informed, and consent was obtained before data collection. Data were collected using the Time Up and Go Test (TUGT) checklist, the Cognitive Screening Scores (CS-10) checklist, interviews regarding the prayer practice, fall history in the last six months, visual equity questions, and demographic variables.

resultsFactors associated with falls were; age, gender, education, cognitive status, poor walking speed, lack of physical activity, poor vision, and history of falls in the last six months, with a significant P value of (P. < 0.05) in the Pearson correlation coefficient test. Poor cognition, low visual equity, poor walking speed, and lack of exercise increase the risk of falling in the future, with a prediction value of (P < 0.005) in Omnibus, Lemeshow score of (0.77).

conclusionHence, our study provides a road map for future risk assessment of falls by adding the four mentioned risk factors in the proposed model to facilitate timely action to prevent fall-related infirmities in Pakistani healthy older adults.

Indexed as

Independent LivingIslamAgedHumansPakistanPostural BalanceRisk AssessmentRisk FactorsTime and Motion StudiesCommunity-dwellingFallsOlder adultsPakistanRisk factors

Identifiers

PMID37794341
PMCPMC10552376
OpenAlexW4387345470

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.