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Predictive Models of Muscle Strength in Older People with Type 2 Diabetes Mellitus

PURPOSE: To propose predictive models for absolute muscle strength (AMS) of elderly people with type 2 Diabetes Mellitus (DM2) in primary health care. PATIENTS AND METHODS: The cross-sectional study was conducted with 138 elderly diabetics. The AMS was measured by a JAMAR(®) hydraulic handgrip dynam...

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Autores principales: Leite, Mateus Medeiros, de Sousa Neto, Ivo Vieira, Dutra, Maurílio Tiradentes, Funghetto, Silvana Schwerz, de Oliveira Silva, Alessandro, da Silva, Izabel Cristina Rodrigues, Ramos de Lima, Luciano, Morato Stival, Marina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2023
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10506670/
https://www.ncbi.nlm.nih.gov/pubmed/37727449
http://dx.doi.org/10.2147/CIA.S414620
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author Leite, Mateus Medeiros
de Sousa Neto, Ivo Vieira
Dutra, Maurílio Tiradentes
Funghetto, Silvana Schwerz
de Oliveira Silva, Alessandro
da Silva, Izabel Cristina Rodrigues
Ramos de Lima, Luciano
Morato Stival, Marina
author_facet Leite, Mateus Medeiros
de Sousa Neto, Ivo Vieira
Dutra, Maurílio Tiradentes
Funghetto, Silvana Schwerz
de Oliveira Silva, Alessandro
da Silva, Izabel Cristina Rodrigues
Ramos de Lima, Luciano
Morato Stival, Marina
author_sort Leite, Mateus Medeiros
collection PubMed
description PURPOSE: To propose predictive models for absolute muscle strength (AMS) of elderly people with type 2 Diabetes Mellitus (DM2) in primary health care. PATIENTS AND METHODS: The cross-sectional study was conducted with 138 elderly diabetics. The AMS was measured by a JAMAR(®) hydraulic handgrip dynamometer, determined by the sum of both hands. The following indices were evaluated: waist-to-height ratio (WHtR), body mass index (BMI), Lipid Accumulation Product (LAP), Triglyceride/High Density Lipoprotein (TG/HDL) ratio and platelet/lymphocyte ratio (PLR). Multiple linear regression was used in the statistical analysis. RESULTS: The final regression model indicated 66.4% (R²=0.66) of the variation in AMS. WHtR decreased AMS by 41.1% (β = −0.19; t = −3.70; p < 0.001), while PLR by 11.3% (β = −0.12; t = −2.36; p = 0.020). Male sex increased AMS by 10.6% (β = 0.32; t = 4.16; p < 0.001), and lean mass (LM) by 0.89% (β = 0.46; t = 6.03; p < 0.001). CONCLUSION: WHtR and PLR predicted a decrease, while male sex and LM predicted an increase in AMS. It is suggested that these markers be used as screening measures for variation in AMS in older adults with DM2. These results have relevant practical application in primary health care since the markers are easy to use.
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spelling pubmed-105066702023-09-19 Predictive Models of Muscle Strength in Older People with Type 2 Diabetes Mellitus Leite, Mateus Medeiros de Sousa Neto, Ivo Vieira Dutra, Maurílio Tiradentes Funghetto, Silvana Schwerz de Oliveira Silva, Alessandro da Silva, Izabel Cristina Rodrigues Ramos de Lima, Luciano Morato Stival, Marina Clin Interv Aging Original Research PURPOSE: To propose predictive models for absolute muscle strength (AMS) of elderly people with type 2 Diabetes Mellitus (DM2) in primary health care. PATIENTS AND METHODS: The cross-sectional study was conducted with 138 elderly diabetics. The AMS was measured by a JAMAR(®) hydraulic handgrip dynamometer, determined by the sum of both hands. The following indices were evaluated: waist-to-height ratio (WHtR), body mass index (BMI), Lipid Accumulation Product (LAP), Triglyceride/High Density Lipoprotein (TG/HDL) ratio and platelet/lymphocyte ratio (PLR). Multiple linear regression was used in the statistical analysis. RESULTS: The final regression model indicated 66.4% (R²=0.66) of the variation in AMS. WHtR decreased AMS by 41.1% (β = −0.19; t = −3.70; p < 0.001), while PLR by 11.3% (β = −0.12; t = −2.36; p = 0.020). Male sex increased AMS by 10.6% (β = 0.32; t = 4.16; p < 0.001), and lean mass (LM) by 0.89% (β = 0.46; t = 6.03; p < 0.001). CONCLUSION: WHtR and PLR predicted a decrease, while male sex and LM predicted an increase in AMS. It is suggested that these markers be used as screening measures for variation in AMS in older adults with DM2. These results have relevant practical application in primary health care since the markers are easy to use. Dove 2023-09-14 /pmc/articles/PMC10506670/ /pubmed/37727449 http://dx.doi.org/10.2147/CIA.S414620 Text en © 2023 Leite et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Leite, Mateus Medeiros
de Sousa Neto, Ivo Vieira
Dutra, Maurílio Tiradentes
Funghetto, Silvana Schwerz
de Oliveira Silva, Alessandro
da Silva, Izabel Cristina Rodrigues
Ramos de Lima, Luciano
Morato Stival, Marina
Predictive Models of Muscle Strength in Older People with Type 2 Diabetes Mellitus
title Predictive Models of Muscle Strength in Older People with Type 2 Diabetes Mellitus
title_full Predictive Models of Muscle Strength in Older People with Type 2 Diabetes Mellitus
title_fullStr Predictive Models of Muscle Strength in Older People with Type 2 Diabetes Mellitus
title_full_unstemmed Predictive Models of Muscle Strength in Older People with Type 2 Diabetes Mellitus
title_short Predictive Models of Muscle Strength in Older People with Type 2 Diabetes Mellitus
title_sort predictive models of muscle strength in older people with type 2 diabetes mellitus
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10506670/
https://www.ncbi.nlm.nih.gov/pubmed/37727449
http://dx.doi.org/10.2147/CIA.S414620
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