Muscle Weakness Thresholds for Prediction of Diabetes in Adults

Mark D. Peterson, Peng Zhang, Palak Choksi, Kyriakos Markides, Soham Al Snih al snih

Research output: Contribution to journalArticle

22 Citations (Scopus)

Abstract

Background: Despite the known links between weakness and early mortality, what remains to be fully understood is the extent to which strength preservation is associated with protection from cardiometabolic diseases, such as diabetes. Purpose: The purposes of this study were to determine the association between muscle strength and diabetes among adults, and to identify age- and sex-specific thresholds of low strength for detection of risk. Methods: A population-representative sample of 4066 individuals, aged 20–85 years, was included from the combined 2011–2012 National Health and Nutrition Examination Survey (NHANES) data sets. Strength was assessed using a handheld dynamometer, and the single highest reading from either hand was normalized to body mass. A logistic regression model was used to assess the association between normalized grip strength and risk of diabetes, as determined by haemoglobin A1c levels ≥6.5 % (≥48 mmol/mol), while controlling for sociodemographic characteristics, anthropometric measures and television viewing time. Results: For every 0.05 decrement in normalized strength, there were 1.26 times increased adjusted odds for diabetes in men and women. Women were at lower odds of having diabetes (odds ratio 0.49; 95 % confidence interval 0.29–0.82). Age, waist circumference and lower income were also associated with diabetes. The optimal sex- and age-specific weakness thresholds to detect diabetes were 0.56, 0.50 and 0.45 for men at ages of 20–39, 40–59 and 60–80 years, respectively, and 0.42, 0.38 and 0.33 for women at ages of 20–39, 40–59 and 60–80 years, respectively. Conclusions and Clinical Relevance: We present thresholds of strength that can be incorporated into a clinical setting for identifying adults who are at risk of developing diabetes and might benefit from lifestyle interventions to reduce risk.

Original languageEnglish (US)
Pages (from-to)1-10
Number of pages10
JournalSports Medicine
DOIs
StateAccepted/In press - Jan 7 2016

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Muscle Weakness
Logistic Models
Nutrition Surveys
Television
Muscle Strength
Waist Circumference
Hand Strength
Life Style
Reading
Hemoglobins
Hand
Odds Ratio
Confidence Intervals
Mortality
Population

ASJC Scopus subject areas

  • Orthopedics and Sports Medicine
  • Physical Therapy, Sports Therapy and Rehabilitation

Cite this

Muscle Weakness Thresholds for Prediction of Diabetes in Adults. / Peterson, Mark D.; Zhang, Peng; Choksi, Palak; Markides, Kyriakos; Al Snih al snih, Soham.

In: Sports Medicine, 07.01.2016, p. 1-10.

Research output: Contribution to journalArticle

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