Evidence map›Paper›PMID 39966694›Full record

ArticleJournal of cachexia, sarcopenia and muscle2025

Hand Grip Strength Cut-Off Points as a Discriminator of Sarcopenia and Sarcopenic Obesity: Results from the ELSA-Brasil Cohort.

Clarice Alves Santos, Helena Fraga Maia, Francisco José Gondim Pitanga, Maria da Conceição Chagas de Almeida, Maria de Jesus Mendes da Fonseca, Estela Mota Leão de Aquino, Letícia de Oliveira Cardoso, Rosane Harter Griep, Sandhi Maria Barreto, Claudia Kimie Suemoto and 3 more

Abstract read
In one paragraph

Article in Journal of cachexia, sarcopenia and muscle, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

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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

13 authors.

Clarice Alves SantosDepartment of Biological Sciences, State University of the Southwest of Bahia, Jequié, Bahia, Brazil.ORCID 0000-0002-2730-5117
Helena Fraga MaiaDepartment of Life Sciences, State University of Bahia, Salvador, Bahia, Brazil.
Francisco José Gondim PitangaDepartment of Physical Education, Federal University of Bahia, Salvador, Bahia, Brazil.
Maria da Conceição Chagas de AlmeidaOswaldo Cruz Foundation, Instituto Gonçalo Moniz, Salvador, Bahia, Brazil.
Maria de Jesus Mendes da FonsecaNational School of Public Health, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil.
Estela Mota Leão de AquinoInstitute for Collective Health, Federal University of Bahia, Salvador, Bahia, Brazil.
Letícia de Oliveira CardosoNational School of Public Health, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil.
Rosane Harter GriepLaboratory of Health and Environment Education, Oswaldo Cruz Institute, Rio de Janeiro, Brazil.
Sandhi Maria BarretoFaculty of Medicine & Clinical Hospital, Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
Claudia Kimie SuemotoDivision of Geriatrics, University of São Paulo, Faculdade de Medicina, São Paulo, Brazil.
Paulo LotufoCenter for Clinical and Epidemiological Research, University of São Paulo, São Paulo, Brazil.
Isabela BensenorCenter for Clinical and Epidemiological Research, University of São Paulo, São Paulo, Brazil.
Sheila Maria Alvim de MatosInstitute for Collective Health, Federal University of Bahia, Salvador, Bahia, Brazil.

Funding

Brazilian Ministry of HealthBrazilian Ministry of Science, Technology and Innovation 01 06 0010.00Brazilian Ministry of Science, Technology and Innovation 01 06 0071.Brazilian Ministry of Science, Technology and Innovation 01 06 0115.00Brazilian Ministry of Science, Technology and Innovation 01 06 0212.00Brazilian Ministry of Science, Technology and Innovation 01 06 0278.00Brazilian Ministry of Science, Technology and Innovation 01 06 0300.00Brazilian Ministry of Science, Technology and Innovation 01.10.0742-00Brazilian Ministry of Science, Technology and Innovation 01 10 0746 00Brazilian Ministry of Science, Technology and Innovation 01.10.0773-00Brazilian Ministry of Science, Technology and Innovation 01.11.0093.01Brazilian Ministry of Science, Technology and Innovation 01.12.0284.00Brazilian Ministry of Science, Technology and Innovation and 01.10.0643.03
6 · The paper itself

Abstract

backgroundHand grip strength (HGS) may represent an epidemiologically relevant alternative as an initial screening tool for sarcopenia and sarcopenic obesity. However, no study evaluated the performance capacity of HGS compared to other biomarkers in discriminating these conditions in adults.

objectiveThe study aimed to evaluate the performance of HGS as discriminator of sarcopenia and sarcopenic obesity, compared to urinary biomarkers of creatinine and potassium in 24 h for Brazilian adults.

methodsCross-sectional study. Women (n = 5431) and men (n = 6351) aged 38-79 years who participated in the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) at second follow-up of the cohort (2012-2014). The area under the receiver operating characteristic curve (AUC) and the respective 95% confidence intervals were calculated for men and women in different age groups to assess the performance of HGS as a discriminator of sarcopenia and sarcopenic obesity, compared to the biomarkers of potassium and creatinine in urine in 24 h. The outcomes were classified based on the skeletal muscle mass index (BMI/height

resultsIt can be observed that 18.20% (15.51% women; 21.34% men) of the population showed a decline in skeletal muscle mass (sarcopenia). Of this total, 11.61% (10.52% women; 12.89% men) presented the isolated outcome of sarcopenia and 6.59% (4.99% women; 8.45% men) of sarcopenic obesity. The HGS areas under the ROC Curve ranged from 0.54 (CI = 0.493-0.596) to 0.76 (CI = 0.650-0.878) according to sex and age group. HGS performance compared to biomarkers was significantly higher in virtually all strata and outcomes analysed. The cut-off points that demonstrated greater accuracy and better performance in outcome discrimination were ≤ 42, ≤ 41, ≤ 38 and ≤ 36 kgf among males aged 38-44 years, 45-54 years, 55-64 years and 65-79 years, respectively. For women in the same age groups, HGS cut-offs were ≤ 26, ≤ 23, ≤ 23 and ≤ 21 kgf, respectively.

conclusionsThe results suggest that HGS is a good discriminator of sarcopenia and sarcopenic obesity, capable of achieving superior or equal performance to muscle mass biomarkers, especially in middle-aged adults.

Indexed as

Hand StrengthObesitySarcopeniaAdultAgedBiomarkersBrazilCohort StudiesCross-Sectional StudiesFemaleHumansMaleMiddle AgedROC CurveBiomarkersdiagnostic testsmuscular strengthmusculoskeletal diseasesobesitysarcopenia

Identifiers

PMID39966694
PMCPMC11835543

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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.