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Prevalence and correlates of frailty in an older rural African population: findings from the HAALSI cohort study

Overview of attention for article published in BMC Geriatrics, December 2017
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3 tweeters

Citations

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34 Dimensions

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86 Mendeley
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Title
Prevalence and correlates of frailty in an older rural African population: findings from the HAALSI cohort study
Published in
BMC Geriatrics, December 2017
DOI 10.1186/s12877-017-0694-y
Pubmed ID
Authors

Collin F. Payne, Alisha Wade, Chodziwadziwa W. Kabudula, Justine I. Davies, Angela Y. Chang, F. Xavier Gomez-Olive, Kathleen Kahn, Lisa F. Berkman, Stephen M. Tollman, Joshua A. Salomon, Miles D. Witham

Abstract

Frailty is a key predictor of death and dependency, yet little is known about frailty in sub-Saharan Africa despite rapid population ageing. We describe the prevalence and correlates of phenotypic frailty using data from the Health and Aging in Africa: Longitudinal Studies of an INDEPTH Community cohort. We analysed data from rural South Africans aged 40 and over. We used low grip strength, slow gait speed, low body mass index, and combinations of self-reported exhaustion, decline in health, low physical activity and high self-reported sedentariness to derive nine variants of a phenotypic frailty score. Each frailty category was compared with self-reported health, subjective wellbeing, impairment in activities of daily living and the presence of multimorbidity. Cox regression analyses were used to compare subsequent all-cause mortality for non-frail (score 0), pre-frail (score 1-2) and frail participants (score 3+). Five thousand fifty nine individuals (mean age 61.7 years, 2714 female) were included in the analyses. The nine frailty score variants yielded a range of frailty prevalences (5.4% to 13.2%). For all variants, rates were higher in women than in men, and rose steeply with age. Frailty was associated with worse subjective wellbeing, and worse self-reported health. Both prefrailty and frailty were associated with a higher risk of death during a mean 17 month follow up for all score variants (hazard ratios 1.29 to 2.41 for pre-frail vs non-frail; hazard ratios 2.65 to 8.91 for frail vs non-frail). Phenotypic frailty could be measured in this older South African population, and was associated with worse health, wellbeing and earlier death.

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 86 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 15%
Student > Master 12 14%
Student > Postgraduate 9 10%
Student > Bachelor 8 9%
Researcher 8 9%
Other 15 17%
Unknown 21 24%
Readers by discipline Count As %
Medicine and Dentistry 22 26%
Nursing and Health Professions 12 14%
Social Sciences 9 10%
Business, Management and Accounting 3 3%
Biochemistry, Genetics and Molecular Biology 2 2%
Other 12 14%
Unknown 26 30%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 October 2020.
All research outputs
#11,612,158
of 19,069,422 outputs
Outputs from BMC Geriatrics
#1,692
of 2,314 outputs
Outputs of similar age
#220,348
of 424,778 outputs
Outputs of similar age from BMC Geriatrics
#161
of 221 outputs
Altmetric has tracked 19,069,422 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,314 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 424,778 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 221 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.