Evidence map›Paper›PMID 36585620›Full record

ArticleBMC geriatrics2022

Nationwide handgrip strength values and factors associated with muscle weakness in older adults: findings from the Brazilian Longitudinal Study of Aging (ELSI-Brazil).

Bruno de Souza Moreira, Amanda Cristina de Souza Andrade, Juliana Lustosa Torres, Luciana de Souza Braga, Alessandra de Carvalho Bastone, Juliana Vaz de Melo Mambrini, Maria Fernanda Lima-Costa

Open access · goldAbstract read
In one paragraph

Article in BMC geriatrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 9% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

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  11. The Causal Effect of Adult Height on Late-Life Handgrip Strength: The Singapore Chinese Health Study.The journals of gerontology. Series A, Biological sciences and medical sciences · 2024
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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

7 authors at 4 institutions in 1 country.

Bruno de Souza MoreiraNúcleo de Estudos Em Saúde Pública E Envelhecimento, Universidade Federal de Minas Gerais E Fundação Oswaldo Cruz - Minas Gerais, Belo Horizonte, Minas Gerais, Brazil. brunosouzamoreira@gmail.com.ORCID 0000-0001-8840-4496
Amanda Cristina de Souza AndradePrograma de Pós-Graduação Em Saúde Coletiva, Instituto de Saúde Coletiva, Universidade Federal de Mato Grosso, Cuiabá, Mato Grosso, Brazil.ORCID 0000-0002-3366-4423
Juliana Lustosa TorresNúcleo de Estudos Em Saúde Pública E Envelhecimento, Universidade Federal de Minas Gerais E Fundação Oswaldo Cruz - Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.ORCID 0000-0002-3687-897X
Luciana de Souza BragaNúcleo de Estudos Em Saúde Pública E Envelhecimento, Universidade Federal de Minas Gerais E Fundação Oswaldo Cruz - Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.ORCID 0000-0003-4499-6316
Alessandra de Carvalho BastonePrograma de Pós-Graduação Em Reabilitação E Desempenho Funcional, Universidade Federal Dos Vales Do Jequitinhonha E Mucuri, Diamantina, Minas Gerais, Brazil.ORCID 0000-0002-2414-3730
Juliana Vaz de Melo MambriniPrograma de Pós-Graduação Em Saúde Coletiva, Instituto René Rachou, Fundação Oswaldo Cruz, Belo Horizonte, Minas Gerais, Brazil.ORCID 0000-0002-0420-3062
Maria Fernanda Lima-CostaNúcleo de Estudos Em Saúde Pública E Envelhecimento, Universidade Federal de Minas Gerais E Fundação Oswaldo Cruz - Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.ORCID 0000-0002-3474-2980
Universidade Federal de Minas Gerais · BRFundação Oswaldo Cruz · BRUniversidade Federal de Mato Grosso · BRUniversidade Federal dos Vales do Jequitinhonha e Mucuri · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHandgrip strength (HGS) is a simple, quick, inexpensive, and highly reliable method for the assessment of muscle strength in clinical practice and epidemiological studies. This study aimed at describing the HGS values by age group and sex in Brazilians aged 50 years and over, determining age group- and sex-specific cutoff points for muscle weakness, and investigating sociodemographic and anthropometric variables associated with muscle weakness for each sex.

methodsData from the second wave of the Brazilian Longitudinal Study of Aging (ELSI-Brazil) were analyzed. HGS was measured in the dominant hand using a hydraulic hand dynamometer. Fractional polynomial regression models were fitted to estimate the percentiles (P5, P10, P20, P25, P50, P75, P90, and P95) of HGS by age group and sex. The P20 of the maximum HGS by age group and sex was used to define muscle weakness. Associations between sociodemographic (racial self-classification, place of residence, schooling, and monthly household income per capita in tertiles) and anthropometric variables (body mass index and waist circumference) and muscle weakness, by sex, were evaluated using logistic regression.

resultsThe analytical sample included 7905 participants (63.1 ± 9.1 years; 60% women). HGS reduced with increasing age in both sexes. Men presented higher HGS than women in all age groups. The cutoff points for muscle weakness ranged from 28 to 15 kg for men and from 17 to 9 kg for women. In the adjusted analyses, low schooling (0-4 years) was positively associated with muscle weakness in both sexes (in men, odds ratio (OR) 2.45, 95% confidence interval (CI) 1.46-4.12; in women, OR 1.90, 95%CI 1.18-3.06). Low and middle monthly household income per capita also had a positive association with muscle weakness among women (OR 1.78, 95%CI 1.37-2.32; OR 1.32, 95%CI 1.01-1.73, respectively). Overweight had a negative association with muscle weakness among men (OR 0.66, 95%CI 0.52-0.83), and obesity was inversely associated with muscle weakness in both sexes (in men, OR 0.49, 95%CI 0.31-0.78; in women, OR 0.69, 95%CI 0.52-0.92).

conclusionsThis study provides HGS values and cutoff points for muscle weakness by age group and sex from a nationally representative sample of older Brazilian adults. The variables associated with muscle weakness slightly differed between men and women. HGS values and cutoff points generated can be used as benchmarks in clinical settings and foster future epidemiological research.

Indexed as

AgingHand StrengthAgedBrazilFemaleHumansLongitudinal StudiesMaleMiddle AgedMuscle StrengthMuscle WeaknessDynamometryMuscle StrengthOlder AdultsReference ValuesSarcopeniaWeakness

Identifiers

PMID36585620
PMCPMC9805021
OpenAlexW4313304073

What OpenQuestion holds

Textmetadata
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.