Evidence map›Paper›PMID 32071846›Full record

ArticlePreventive medicine reports2020

Handgrip strength predicts new prediabetes cases among adults: A prospective cohort study.

Chrispin Mahala Manda, Takahiro Hokimoto, Tomohiro Okura, Hiroko Isoda, Hitoshi Shimano, Yukiko Wagatsuma

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In one paragraph

Article in Preventive medicine reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

6 authors.

Chrispin Mahala MandaGraduate School of Comprehensive Human Sciences, University of Tsukuba, Tsukuba, Ibaraki, Japan.
Takahiro HokimotoGraduate School of Comprehensive Human Sciences, University of Tsukuba, Tsukuba, Ibaraki, Japan.
Tomohiro OkuraFaculty of Health and Sport Sciences, University of Tsukuba, Tsukuba, Ibaraki, Japan.
Hiroko IsodaFaculty of Life and Environmental Sciences, University of Tsukuba, Tsukuba, Ibaraki, Japan.
Hitoshi ShimanoDepartment of Metabolism and Endocrinology, Faculty of Medicine, University of Tsukuba, Tsukuba, Ibaraki, Japan.
Yukiko WagatsumaDepartment of Clinical Trial and Clinical Epidemiology, Faculty of Medicine, Universityof Tsukuba, Tsukuba, Ibaraki, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Conventional risk factors for prediabetes and type 2 diabetes such as obesity do not completely explain the higher prevalence of prediabetes; therefore, research to investigate the role of other independent risk factors is required. A few cross-sectional studies have reported an association between muscle strength and prediabetes among normal-weight adults, but the longitudinal relationship of muscle strength with incident prediabetes among adults has not been reported. This prospective cohort study was conducted to investigate whether relative handgrip strength in adults predicted prediabetes incidence after 2 years of follow-up. The study was conducted in Ibaraki prefecture, Japan and recruited individuals without prediabetes and diabetes attending lifestyle related medical examinations between April 2016 and March 2017 (n = 2054). Individuals who came for the follow-up medical examinations between April 2018 and March 2019 were included in the analysis (n = 1075). One hundred sixty-nine individuals (15.7%) developed prediabetes after a mean follow-up of 24.2 months (SD = 1.9 months). Multivariable adjusted hazard ratios (aHR) of new prediabetes cases were calculated using Cox regression. Higher baseline relative handgrip strength predicted a lower risk (aHR [95% CI] = 0.38 [0.21-0.71] of prediabetes incidence among adults. Importantly, relative handgrip strength predicted new prediabetes cases among normal weight individuals (aHR [95% CI] = 0.39 [0.16-0.96]). The findings suggest that handgrip strength measurement is useful to identify individuals at high risk of newly diagnosed prediabetes, importantly, among normal weight individuals. The identified individuals may benefit from early intervention to reduce the risk of prediabetes.

Indexed as

aHR, adjusted hazard ratiosBMI, body mass indexCI, confidence intervalCOI, center of innovationFPG, fasting plasma glucoseHandgrip strengthHbA1c, hemoglobin A1cHDL, high density lipoproteinIncidentIQR, interquartile rangeJA Ibaraki, agricultural cooperative of IbarakiLDL, low density lipoproteinMuscle strengthNormal weightOGTT, oral glucose tolerance testPhysical activityPrediabetesSD, standard deviation

Identifiers

PMID32071846
PMCPMC7016270

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Registered trials

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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.