Literature DB >> 31909373

Response: The Differential Association between Muscle Strength and Diabetes Mellitus According to the Presence or Absence of Obesity (J Obes Metab Syndr 2019;28:46-52).

Bo Kyung Koo1.   

Abstract

Entities:  

Year:  2019        PMID: 31909373      PMCID: PMC6939701          DOI: 10.7570/jomes.2019.28.4.297

Source DB:  PubMed          Journal:  J Obes Metab Syndr        ISSN: 2508-6235


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Currently, the Foundation for the National Institutes of Health Biomarkers Consortium Sarcopenia Project1 and European Working Group on Sarcopenia in Older People2 define muscle strength based on absolute muscle strength. Handgrip is relatively independent of weight-bearing movement, and no difference in absolute handgrip power between obese and non-obese subjects was reported.3 However, the relationship between body mass and muscle strength might be different between obese and non-obese individuals.3 In my previous study using Korea National Health and Nutrition Examination Survey (KNHANES) from 2014 to 2016, low muscle strength (LMS) defined using absolute handgrip strength, was independently associated with diabetes mellitus only in a non-obese population.4 Nutritional status, socioeconomic status, and occupation might be important confounders in the difference seen in the association between diabetes and LMS according to obesity status. An additional adjustment for daily protein intake per body weight (g/kg) confirmed that LMS was significantly associated with diabetes mellitus only in individuals without obesity (odds ratio [OR], 1.533; 95% confidence interval [CI], 1.224–1.920; model 2 in Table 1), which was not different from the previously reported multivariable regression analysis results (model 1 in Table 14). Furthermore, additional adjustments for socioeconomic status, occupation, and education level did not attenuate the statistical significance in the association between LMS and diabetes mellitus in non-obese individuals (OR, 1.487; 95% CI, 1.178–1.877; model 3 in Table 1). By contrast, there was no significant association between LMS and diabetes in an obese population in the same model (Table 1).
Table 1

The risk of diabetes mellitus according to low muscle strength in a stratified analysis according to the presence or absence of obesity

(Unweighted N)Total (n=14,642)Non-obesity (n=9,412)Obesity* (n=5,230)



OR (95% CI)POR (95% CI)POR (95% CI)P
Unadjusted1.248 (1.094–1.423)0.0011.444 (1.205–1.731)<0.0011.200 (0.982–1.468)0.075

Model 11.317 (1.123–1.544)0.0011.513 (1.224–1.870)<0.0011.124 (0.879–1.437)0.351

Model 21.325 (1.116–1.573)0.0011.533 (1.224–1.920)<0.0011.127 (0.870–1.461)0.365

Model 31.308 (1.095–1.563)0.0031.487 (1.178–1.877)0.0011.144 (0.876–1.495)0.323

Defined as subjects with a body mass index ≥25 kg/m2.

OR, odds ratio; CI, confidence interval; Model 1, adjusted for age, sex, muscle strength, family history of diabetes, abdominal obesity, hypertriglyceridemia, low high-density lipoprotein cholesterolemia, and hypertension; Model 2, adjusted for protein intake in addition to model 1; Model 3, adjusted for socioeconomic status, occupation, and education in addition to model 2.

The significant association between diabetes and LMS in the non-obese population4 might be confounded by the muscle wasting and body weight loss frequently seen in subjects with long duration of diabetes or severe hyperglycemia. Comparing the diabetic subjects with and without obesity in the study population, non-obese diabetic subjects showed a significantly longer duration of diabetes compared to those with obesity: mean duration of diabetes was 6.7 years (standard error [SE], 0.3 years) and 4.2 years (SE, 0.2 years) in non-obese and obese diabetic subjects, respectively (P<0.001). However, there was no difference in mean glycosylated hemoglobin level according to obesity status (7.2% [SE, 0.1%] and 7.2% [SE, 0.1%] in both groups; P=0.740). Considering the difference in the duration of diabetes according to obesity status, subsequent analyses for recent-onset diabetes (duration less than 5 years) were performed. The prevalence of recent-onset diabetes was 6.3% (SE, 0.7%) and 5.5% (SE, 0.3%) in non-obese individuals with and without LMS; and 14.2% (SE, 0.7%) and 14.6% (SE, 1.4%) in obese subjects with and without LMS. There was no statistically significant association between LMS and recent-onset diabetes in either of the non-obese and obese groups (data not shown). Information about body composition was not available in the KNHANES 2014–2016. Muscle mass itself has been reported to increase the risk of diabetes mellitus.5 Body mass index (BMI) cannot differentiate muscle mass from fat mass. Considering the limitation of BMI as an obesity marker,6 further studies to elucidate the independent association between LMS and diabetes according to body composition are needed.
  6 in total

1.  Study of differences in peripheral muscle strength of lean versus obese women: an allometric approach.

Authors:  M Hulens; G Vansant; R Lysens; A L Claessens; E Muls; S Brumagne
Journal:  Int J Obes Relat Metab Disord       Date:  2001-05

2.  Sarcopenia: revised European consensus on definition and diagnosis.

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

3.  The Differential Association between Muscle Strength and Diabetes Mellitus According to the Presence or Absence of Obesity.

Authors:  Bo Kyung Koo
Journal:  J Obes Metab Syndr       Date:  2019-03-30

4.  The FNIH sarcopenia project: rationale, study description, conference recommendations, and final estimates.

Authors:  Stephanie A Studenski; Katherine W Peters; Dawn E Alley; Peggy M Cawthon; Robert R McLean; Tamara B Harris; Luigi Ferrucci; Jack M Guralnik; Maren S Fragala; Anne M Kenny; Douglas P Kiel; Stephen B Kritchevsky; Michelle D Shardell; Thuy-Tien L Dam; Maria T Vassileva
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2014-05       Impact factor: 6.053

Review 5.  Sarcopenia, Frailty, and Diabetes in Older Adults.

Authors:  Hak Chul Jang
Journal:  Diabetes Metab J       Date:  2016-04-21       Impact factor: 5.376

6.  The Risk of Myocardial Infarction and Ischemic Stroke According to Waist Circumference in 21,749,261 Korean Adults: A Nationwide Population-Based Study.

Authors:  Jung Hwan Cho; Eun Jung Rhee; Se Eun Park; Hyemi Kwon; Jin Hyung Jung; Kyung Do Han; Yong Gyu Park; Hye Soon Park; Yang Hyun Kim; Soon Jib Yoo; Won Young Lee
Journal:  Diabetes Metab J       Date:  2018-11-21       Impact factor: 5.376

  6 in total
  2 in total

1.  Association of Muscle Strength with Non-Alcoholic Fatty Liver Disease in Korean Adults.

Authors:  Sung-Bum Lee; Yu-Jin Kwon; Dong-Hyuk Jung; Jong-Koo Kim
Journal:  Int J Environ Res Public Health       Date:  2022-02-01       Impact factor: 3.390

2.  Association of Handgrip Strength with Diabetes Mellitus in Korean Adults According to Sex.

Authors:  Sung-Bum Lee; Ji-Eun Moon; Jong-Koo Kim
Journal:  Diagnostics (Basel)       Date:  2022-08-02
  2 in total

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