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The Association Between Muscle Indicators and Bone Mass Density and Related Risk Factors in the Diabetic Elderly Population: Bushehr Elderly Health (Beh) Program Publisher



Nikfarjam M1 ; Heshmat R1 ; Gharibzadeh S2 ; Ostovar A3 ; Maleki V4, 5 ; Moludi J6 ; Nabipour I7 ; Shafiee G1 ; Larijani B8
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Authors Affiliations
  1. 1. Chronic Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, NO 10, Jalale-Al-Ahmad Ave, Chamran Highway, Tehran, Iran
  2. 2. Department of Epidemiology and Biostatistics, Pasteur Institute of Iran, Tehran, Iran
  3. 3. Osteoporosis Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
  4. 4. Clinical Cancer Research Center, Milad General Hospital, Tehran, Iran
  5. 5. Knee and Sport Medicine Research Center, Milad Hospital, Tehran, Iran
  6. 6. School of Nutrition Sciences and Food Technology, Kermanshah University of Medical Sciences, Kermanshah, Iran
  7. 7. The Persian Gulf Tropical Medicine Research Center, Bushehr University of Medical Sciences, Bushehr, Iran
  8. 8. Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, NO 10, Jalale-Al-Ahmad Ave, Chamran Highway, Tehran, Iran

Source: Journal of Diabetes and Metabolic Disorders Published:2021


Abstract

Background: Loss of muscle mass and strength and bone mass density are complications of the aging process. Studies show that the prevalence of sarcopenia and osteoporosis may be higher in patients with diabetes. Therefore, this study was aimed to investigate the relationship between muscle mass and strength indices and bone mass density in diabetic elderly. Materials and methods: This cross-sectional study was conducted based on the data collected during the Bushehr Elderly Health (BEH) Program, stage II. Diabetes was defined as FPG ≥ 126 mg/dl or HbA1C ≥ 6.5 or taking anti-diabetic medication. Dual x-ray absorptiometry (DXA, Discovery WI, Hologic Inc, USA) was used to measure bone mineral density, fat mass, trabecular bone score (TBS) and muscle mass. Muscle strength was measured by grip strength. Osteoporosis was defined as the bone mineral density of ≥ 2.5 standard deviations (SD) below the average value of young normal adults (T-score of ≤ -2.5 SD) in the femoral neck, or lumbar spine (L1-L4) or total hip. To determine the relationship between skeletal muscle index (SMI) and muscle strength on bone status in a continuous scale was used from linear regression. To estimate the effect of SMI and muscle strength on osteoporosis was used from modified Poisson regression for analysis. Results: This study included 759 diabetic elderly with a mean age of 68.6 years and 56.9% of them were women. Skeletal muscle index (SMI) was related to all sites of BMDs and TBS L1-L4 after adjusted in full models (P-value < 0.001). The largest coefficients were observed for BMD L1-L4 in all models (β: 0.043 g/cm2; 95% CI: 0.030–0.057 in full model). Muscle strength was also associated with BMDs and TBS. Only, in model 2 (adjustments for age and sex effect), there was no significant relationship between muscle strength and BMD L1-L4 and TBS L1-L4. The strongest associations were observed for the total hip BMD and muscle strength (β: 0.034 g/cm2; 95% CI: 0.022- 0.046 in full model). Also, increased SMI and muscle strength was associated with decreased osteoporosis in crude and adjusted models (P < 0.001). Conclusions: In this study, it was revealed that the reduction of SMI in elderly patients with diabetes was significantly associated with decreased BMD and TBS. The muscle strength was also associated with BMD and TBS. So, muscle strength and muscle mass should be measured separately ever since both are independently associated with BMD and TBS. Muscle strength and muscle mass were negatively associated with osteoporosis in older people with diabetes. Thus, we should pay more attention to muscle strength training in older people with diabetes, particularly in osteoporotic patients. © 2021, Springer Nature Switzerland AG.
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