Ji A Seo1. 1. Division of Endocrinology and Metabolism, Department of Internal Medicine, Korea University Ansan Hospital, Korea University College of Medicine, Ansan, Korea.
Recent consensus reports are emphasizing that reduced muscle strength (dynapenia) and poor physical performance are key diagnostic criteria of sarcopenia, as much as loss of muscle mass is, although definitions vary.1,2 Aging is a universal cause of decreased muscle mass and strength. However, in addition to aging, many chronic diseases including diabetes mellitus (DM) can accelerate loss of muscle mass and strength. Dynapenia was found to be associated with an increased risk of all-cause and cardiovascular mortality in many studies3,4 but somewhat controversial in a prospective study of diabetics.4In the issue of the Journal of Obesity & Metabolic Syndrome, Koo5 analyzed the association between DM and absolute handgrip strength in Korean adults aged 30–79 years. Low handgrip strength was associated with the presence of DM only in nonobese subjects. The author5 used absolute handgrip strength in contrast to the use of relative (body mass index [BMI]- or weight-normalized) handgrip strength used in some previous reports6 and performed obesity-stratified analyses instead. There are no standardized indices for the definition of low muscle strength. Using absolute handgrip strength for this analysis could be a useful alternative. However, I have some concerns about the results showing differences between obese and nonobese subjects and additional points that need further clarification.First, comparative data are needed to confirm that the characteristics of obese and nonobese people were similar. A longer duration of diabetes and higher concentrations of glucose and insulin are associated with accelerated muscle loss7 and disability.8 If nonobese DM subjects had more severe hyperglycemia than obese DM subjects, a more pronounced association with DM could be seen in nonobese subjects. In addition to the severity of DM, insufficient protein intake could also be an important factor. Second, to confirm the results, a stratified analysis of obesity based on a non-BMI basis (e.g., body fat percent, waist circumference, etc.) would be useful. In addition, the percentage of blue-collar workers and socioeconomic status distribution could be considered confounding.Nevertheless, this study added another piece of evidence to our understanding of the relationship between low muscle strength and DM using a nationally representative sample of adults in Korea. Low muscle mass increases the risk of developing type 2 DM in Koreans.9 Future prospective studies will be needed to assess the effects of body components, including muscle mass and fat deposition, and changes in the quality and function of muscles on the occurrence of DM and the development of diabetic complications.
Authors: Seok Won Park; Bret H Goodpaster; Elsa S Strotmeyer; Lewis H Kuller; Robert Broudeau; Candace Kammerer; Nathalie de Rekeneire; Tamara B Harris; Ann V Schwartz; Frances A Tylavsky; Yong-wook Cho; Anne B Newman Journal: Diabetes Care Date: 2007-03-15 Impact factor: 19.112
Authors: Jang Won Son; Seong Su Lee; Sung Rae Kim; Soon Jib Yoo; Bong Yun Cha; Ho Young Son; Nam H Cho Journal: Diabetologia Date: 2017-01-19 Impact factor: 10.122
Authors: Rita R Kalyani; Jing Tian; Qian-Li Xue; Jeremy Walston; Anne R Cappola; Linda P Fried; Frederick L Brancati; Caroline S Blaum Journal: J Am Geriatr Soc Date: 2012-08-10 Impact factor: 5.562
Authors: Alfonso J Cruz-Jentoft; Gülistan Bahat; Jürgen Bauer; Yves Boirie; Olivier Bruyère; Tommy Cederholm; Cyrus Cooper; Francesco Landi; Yves Rolland; Avan Aihie Sayer; Stéphane M Schneider; Cornel C Sieber; Eva Topinkova; Maurits Vandewoude; Marjolein Visser; Mauro Zamboni Journal: Age Ageing Date: 2019-01-01 Impact factor: 10.668