The association between muscle indicators and bone mass density and related risk factors in the diabetic elderly population: Bushehr Elderly Health (BEH) Program.

Bone mineral density Diabetes Muscle strength Osteoporosis Skeletal muscle mass index Trabecular bone score

Journal

Journal of diabetes and metabolic disorders
ISSN: 2251-6581
Titre abrégé: J Diabetes Metab Disord
Pays: Switzerland
ID NLM: 101590741

Informations de publication

Date de publication:
Dec 2021
Historique:
received: 26 06 2021
accepted: 15 08 2021
entrez: 13 12 2021
pubmed: 14 12 2021
medline: 14 12 2021
Statut: epublish

Résumé

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. 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. 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/cm 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.

Sections du résumé

BACKGROUND 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 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 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/cm
CONCLUSIONS 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.

Identifiants

pubmed: 34900794
doi: 10.1007/s40200-021-00881-5
pii: 881
pmc: PMC8630123
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1429-1438

Informations de copyright

© Springer Nature Switzerland AG 2021.

Déclaration de conflit d'intérêts

Conflict of interestThe authors declare that they have no conflict of interests.

Références

Clin Interv Aging. 2017 Jan 16;12:145-152
pubmed: 28144132
Cardiovasc Endocrinol. 2017 Feb 15;6(1):8-16
pubmed: 31646113
J Bone Miner Res. 2014 Feb;29(2):487-93
pubmed: 23873741
Bone. 2019 Mar;120:212-218
pubmed: 30408611
Diabetes Res Clin Pract. 2018 Apr;138:271-281
pubmed: 29496507
Lancet. 2019 Jun 29;393(10191):2636-2646
pubmed: 31171417
Diabetes Care. 2003 Jan;26 Suppl 1:S5-20
pubmed: 12502614
J Diabetes Metab Disord. 2017 May 16;16:21
pubmed: 28523252
Br J Sports Med. 2000 Feb;34(1):18-22
pubmed: 10690445
J Diabetes Sci Technol. 2011 Mar 01;5(2):388-93
pubmed: 21527110
J Bone Miner Res. 2005 May;20(5):721-9
pubmed: 15824844
J Nutr Gerontol Geriatr. 2019 Jan-Mar;38(1):100-114
pubmed: 30794099
PLoS One. 2020 May 20;15(5):e0233299
pubmed: 32433712
Hepatol Res. 2018 Apr;48(5):345-354
pubmed: 29115721
Orthop Surg. 2018 Feb;10(1):17-22
pubmed: 29430846
Curr Pharm Des. 2017 Nov 28;23(30):4484-4492
pubmed: 27881060
BMC Proc. 2012 May 21;6 Suppl 2:S10
pubmed: 22640436
Maturitas. 2020 Mar;133:54-59
pubmed: 32005424
BMJ Open. 2017 Aug 4;7(8):e013606
pubmed: 28780537
Scand J Med Sci Sports. 2018 Aug;28(8):1916-1924
pubmed: 29528518
Am J Epidemiol. 2003 May 15;157(10):940-3
pubmed: 12746247
Clin Geriatr Med. 2008 Aug;24(3):455-69, vi
pubmed: 18672182
Ann Stat. 2009;37(4):1733-1751
pubmed: 20445770
Diabetol Metab Syndr. 2017 Oct 19;9:85
pubmed: 29075333
Aging Clin Exp Res. 2017 Dec;29(6):1271-1276
pubmed: 28160254
J Clin Densitom. 2013 Jul-Sep;16(3):374-379
pubmed: 23452869
Diabetes Care. 2008 Jan;31(1):96-8
pubmed: 17921357
Age Ageing. 2019 Jan 1;48(1):16-31
pubmed: 30312372
Rheumatology (Oxford). 2005 May;44(5):642-6
pubmed: 15728415
Curr Opin Endocrinol Diabetes Obes. 2014 Oct;21(5):358-62
pubmed: 25105997
J Gerontol A Biol Sci Med Sci. 2018 Jul 9;73(8):1062-1069
pubmed: 29985994
Rheumatol Int. 2005 Sep;25(7):513-7
pubmed: 16167163
Age Ageing. 2010 Jul;39(4):412-23
pubmed: 20392703
Diabetes Res Clin Pract. 2017 Jun;128:40-50
pubmed: 28437734
Arch Osteoporos. 2021 Jan 21;16(1):16
pubmed: 33475880
Int J Environ Res Public Health. 2020 Sep 17;17(18):
pubmed: 32957738
Am J Epidemiol. 2004 Apr 1;159(7):702-6
pubmed: 15033648
Osteoarthritis Cartilage. 2018 Nov;26(11):1511-1517
pubmed: 30056213
Clin Geriatr Med. 2011 Aug;27(3):355-63
pubmed: 21824552
Maturitas. 2018 Mar;109:70-77
pubmed: 29452785
Curr Opin Rheumatol. 2020 Jul;32(4):387-393
pubmed: 32453035
J Diabetes Metab Disord. 2016 Dec 15;15:58
pubmed: 28018867
Int J Orthop Trauma Nurs. 2021 Feb;40:100813
pubmed: 33317987
Diabetes Res Clin Pract. 2005 Dec;70(3):278-86
pubmed: 15878215
Endocr Pract. 2017 Sep;23(9):1140-1149
pubmed: 28704095
Stat Methods Med Res. 2020 Jan;29(1):309-322
pubmed: 31512571
Arch Med Res. 2005 Sep-Oct;36(5):603-6
pubmed: 16099346
Med Sci Sports Exerc. 2003 Jul;35(7):1196-202
pubmed: 12840642
J Diabetes Metab Disord. 2019 Nov 15;18(2):665-674
pubmed: 31890691
J Diabetes Metab Disord. 2020 May 29;19(2):727-734
pubmed: 33520799
Bone. 2015 Nov;80:126-130
pubmed: 25886902
BMJ Open. 2015 Dec 16;5(12):e009597
pubmed: 26674503

Auteurs

Marzieh Nikfarjam (M)

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.

Ramin Heshmat (R)

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.

Safoora Gharibzadeh (S)

Department of Epidemiology and Biostatistics, Pasteur Institute of Iran, Tehran, Iran.

Afshin Ostovar (A)

Osteoporosis Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.

Vahid Maleki (V)

Clinical Cancer Research Center, Milad General Hospital, Tehran, Iran.
Knee and Sport Medicine Research Center, Milad Hospital, Tehran, Iran.

Jalal Moludi (J)

School of Nutrition Sciences and Food Technology, Kermanshah University of Medical Sciences, Kermanshah, Iran.

Iraj Nabipour (I)

The Persian Gulf Tropical Medicine Research Center, Bushehr University of Medical Sciences, Bushehr, Iran.

Gita Shafiee (G)

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.

Bagher Larijani (B)

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.

Classifications MeSH