Evidence map›Paper›PMID 34325672›Full record

ArticleBMC geriatrics2021

Role of handgrip strength in predicting new-onset diabetes: findings from the survey of health, ageing and retirement in Europe.

Guochen Li, Yanan Qiao, Yanqiang Lu, Siyuan Liu, Yi Ding, Xing Chen, Chaofu Ke

Open access · goldAbstract read
In one paragraph

Article in BMC geriatrics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 15% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

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  16. Mental Health and Handgrip Strength Among Older Adults: A Nationwide Study.Inquiry : a journal of medical care organization, provision and financing
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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 3 institutions in 1 country.

Guochen LiDepartment of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, 215123, Suzhou, China.
Yanan QiaoDepartment of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, 215123, Suzhou, China.
Yanqiang LuDepartment of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, 215123, Suzhou, China.
Siyuan LiuDepartment of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, 215123, Suzhou, China.
Yi DingDepartment of Preventive Medicine, College of Clinical Medicine, Suzhou Vocational Health College, 215009, Suzhou, China. dingyi@szhct.edu.cn.
Xing ChenDepartment of Children Health Care Affiliated, Suzhou Hospital of Nanjing Medical University, No.26, Dao Qian Road, 215000, Suzhou, China.
Chaofu KeDepartment of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, 215123, Suzhou, China. cfke@suda.edu.cn.
Soochow University · CNNanjing Medical University · CNSuzhou Vocational Health College · CN

Funding

Integrting Information About Aging SurveysR01AG030153 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Sara Adar, Alden L. Gross · 2007 to 2026
$41.7M
Mega Meta Data Set of the Health and Retirement Surveys Around the WorldRC2AG036619 · NIA · RAND CORPORATION · PI KAPTEYN, ARIE · 2009 to 2010
$2.0M
Archiving & Creating User Friendly Data: the Longitudinal Aging Survey in IndiaR03AG043052 · NIA · RAND CORPORATION · PI LEE, JINKOOK · 2012 to 2012
$95k
National Natural Science Foundation of China 81703316NIA NIH HHS R01 AG030153NIA NIH HHS R03 AG043052NIA NIH HHS RC2 AG036619Scientific Research Project of Jiangsu Health Committee M2020051
6 · The paper itself

Abstract

backgroundDiabetes is a major concern for the global health burden. This study aimed to investigate the relationship between handgrip strength (HGS) and the risk of new-onset diabetes and to compare the predictive abilities between relative HGS and dominant HGS.

methodsThis longitudinal study used data from the Survey of Health, Ageing and Retirement in Europe (SHARE), including 66,100 European participants aged 50 years or older free of diabetes at baseline. The Cox proportional hazard model was used to analyze the relationship between HGS and diabetes, and the Harrell's C index, net reclassification index (NRI), and integrated discrimination improvement (IDI) were calculated to evaluate the predictive abilities of different HGS expressions.

resultsThere were 5,661 diabetes events occurred during follow-up. Compared with individuals with lowest quartiles, the hazard ratios (95 % confidence intervals) of the 2nd-4th quartiles were 0.88 (0.81-0.94), 0.82 (0.76-0.89) and 0.85 (0.78-0.93) for dominant HGS, and 0.95 (0.88-1.02), 0.82 (0.76-0.89) and 0.60 (0.54-0.67) for relative HGS. After adding dominant HGS to an office-based risk score (including age, gender, body mass index, smoking, and hypertension), the incremental values of the Harrell's C index, NRI, IDI of relative HGS were all slightly higher than those of dominant HGS in both training and validation sets.

conclusionsOur findings supported that HGS was an independent predictor of new-onset diabetes in the middle-aged and older European population. Moreover, relative HGS exhibited a slightly higher predictive ability than dominant HGS.

Indexed as

Diabetes MellitusRetirementAgedAgingHand StrengthHumansLongitudinal StudiesMiddle AgedDiabetesHandgrip strengthPredictive abilitySHARE

Identifiers

PMID34325672
PMCPMC8320209
OpenAlexW3184710823

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.