Evidence map›Paper›PMID 41637395›Full record

ArticlePloS one2026

Defining frailty using a modified Fried's Frailty Phenotype in a Southern African context.

E I Y Madela, C L Gregson, F Paruk, A J Burton, R Patel, H Wilson, F Habana, A M Manyara, B Mbanjwa, L Gates and 3 more

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Article in PloS one, 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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4 · The record

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5 · Who and what money

Authors and funding

13 authors.

E I Y MadelaDepartment of Geriatrics, University of KwaZulu-Natal, Durban, KwaZulu-Natal, South Africa.ORCID https://orcid.org/0000-0003-0043-3853
C L GregsonGlobal Health and Ageing Research Unit, Bristol Medical School, University of Bristol, Bristol, United Kingdom.
F ParukDivision of Internal Medicine, University of KwaZulu-Natal, Durban, KwaZulu-Natal, South Africa.
A J BurtonGlobal Health and Ageing Research Unit, Bristol Medical School, University of Bristol, Bristol, United Kingdom.ORCID https://orcid.org/0000-0002-4416-0538
R PatelMusculoskeletal Research Unit, Translational Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.ORCID https://orcid.org/0000-0002-9136-9529
H WilsonGlobal Health and Ageing Research Unit, Bristol Medical School, University of Bristol, Bristol, United Kingdom.
F HabanaDepartment of Geriatrics, University of KwaZulu-Natal, Durban, KwaZulu-Natal, South Africa.
A M ManyaraGlobal Health and Ageing Research Unit, Bristol Medical School, University of Bristol, Bristol, United Kingdom.ORCID https://orcid.org/0000-0001-6276-926X
B MbanjwaDivision of Internal Medicine, University of KwaZulu-Natal, Durban, KwaZulu-Natal, South Africa.
L GatesMRC Lifecourse Epidemiology Centre, Human Development and Health, University of Southampton, Southampton, England, United Kingdom.
C GrundyMRC International Statistics and Epidemiology Group, London School of Hygiene and Tropical Medicine, London, United Kingdom.
K A WardMRC Lifecourse Epidemiology Centre, Human Development and Health, University of Southampton, Southampton, England, United Kingdom.ORCID https://orcid.org/0000-0001-7034-6750
B CassimDepartment of Geriatrics, University of KwaZulu-Natal, Durban, KwaZulu-Natal, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionFrailty leads to disability, morbidity, and mortality in older persons. The Fried's Frailty Phenotype (FFP), derived in the American Cardiovascular Health Study (CHS), is widely used around the world to define frailty, but lacks adaptation in African populations.

objectiveTo derive a modified FFP definition which best identifies frailty in a Southern African context.

methodsA population-based cross-sectional study of adults aged ≥40 years collected data from questionnaires and physical assessments. Original CHS, population-dependent, European Working Group on Sarcopenia in Older People2 (EWGSOP2) and Sarcopenia Definitions and Outcomes Consortium (SDOC) and independent thresholds were all applied to the five FFP criteria (weight loss, exhaustion, low physical activity [PA], low grip strength [GS] and slow walking speed [WS]) to assess non-differentiality, internal consistency, and plausibility.

resultsThe 919 participants had a median age of 59 years [IQR 50-70], 53.3% were female. Self-reported exhaustion was reported by 37.5%nd self-reported weight loss by 34.9%. Using the lowest quintile of body mass index (BMI), missed 15.2% of overweight and obese participants who reported weight loss. Using CHS thresholds, low PA was present in 36.7%. Grip strength correlated better with age (r = -0.45) than BMI (r = -0.19). Therefore, the sex-specific tenth percentile of the 40-49-years-age band of the study population was used rather than the CHS approach. The modified SDOC threshold identified slow WS in almost all (85.8%) and was therefore non-differential. The EWGSOP2 and CHS thresholds identified slow WS in 52.9% and 22.9%, respectively, compared to 34.5% using the study population's lowest quintile.

conclusionCulture and language sensitive questions for self-reported exhaustion and weight loss, CHS thresholds for low PA, and population dependent thresholds for GS and WS were the most suitable modifications in a Southern African setting, highlighting the need for region-specific adaptations when diagnosing frailty.

Indexed as

FrailtyGeriatric AssessmentAdultAgedBody Mass IndexCross-Sectional StudiesFemaleHand StrengthHumansMaleMiddle AgedPhenotypeSouthern African PeopleWeight Loss

Identifiers

PMID41637395
PMCPMC12872031

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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.