scholarly journals Relationships between Upper Limbs, Lower Limbs, and Trunk Muscle Mass and Insulin Resistance in Female Patients with Type 2 Diabetes

2018 ◽  
Vol 33 (3) ◽  
pp. 519-522
Author(s):  
Yoshikazu HIRASAWA ◽  
Ryosuke MATSUKI ◽  
Toshihiko EBISU ◽  
Takeshi KUROSE
2020 ◽  
Vol 35 (5) ◽  
pp. 735-739
Author(s):  
Yoshikazu HIRASAWA ◽  
Ryosuke MATSUKI ◽  
Hideaki TANINA ◽  
Toshihiko EBISU ◽  
Yoshiyuki HAMAMOTO

Nutrients ◽  
2020 ◽  
Vol 12 (10) ◽  
pp. 2979 ◽  
Author(s):  
Wilrike J. Pasman ◽  
Robert G. Memelink ◽  
Johan de Vogel-Van den Bosch ◽  
Mark P. V. Begieneman ◽  
Willem J. van den Brink ◽  
...  

(1) Background: Recent research showed that subtypes of patients with type 2 diabetes may differ in response to lifestyle interventions based on their organ-specific insulin resistance (IR). (2) Methods: 123 Subjects with type 2 diabetes were randomized into 13-week lifestyle intervention, receiving either an enriched protein drink (protein+) or an isocaloric control drink (control). Before and after the intervention, anthropometrical and physiological data was collected. An oral glucose tolerance test was used to calculate indices representing organ insulin resistance (muscle, liver, and adipose tissue) and β-cell functioning. In 82 study-compliant subjects (per-protocol), we retrospectively examined the intervention effect in patients with muscle IR (MIR, n = 42) and without MIR (no-MIR, n = 40). (3) Results: Only in patients from the MIR subgroup that received protein+ drink, fasting plasma glucose and insulin, whole body, liver and adipose IR, and appendicular skeletal muscle mass improved versus control. Lifestyle intervention improved body weight and fat mass in both subgroups. Furthermore, for the MIR subgroup decreased systolic blood pressure and increased VO2peak and for the no-MIR subgroup, a decreased 2-h glucose concentration was found. (4) Conclusions: Enriched protein drink during combined lifestyle intervention seems to be especially effective on increasing muscle mass and improving insulin resistance in obese older, type 2 diabetes patients with muscle IR.


2018 ◽  
Vol 42 (6) ◽  
pp. 488 ◽  
Author(s):  
Seung Jin Han ◽  
Edward J. Boyko ◽  
Soo-Kyung Kim ◽  
Wilfred Y. Fujimoto ◽  
Steven E. Kahn ◽  
...  

2012 ◽  
Vol 9 (4) ◽  
pp. 23-27 ◽  
Author(s):  
A F Verbovoi ◽  
L A Sharonova ◽  
A V Kapishnikov ◽  
D V Demidova

The article presents the results of evaluation of vitamin D3, osteoprotegerin, carbohydrate and fat metabolic parameters in women with type 2 diabetes and obesity. The study subjects showed an increase of osteoprotegerin, decrease of vitamin D3, insulin resistance and compensatory hyperinsulinemia.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Bo Kyung Koo ◽  
Seoil Moon ◽  
Min Kyong Moon

Abstract Background Although the proportion of older patients with type 2 diabetes mellitus (T2DM) has increased, few studies have reported the factors affecting glucose levels in older patients with long-standing T2DM. This study assessed the determinants of glycemic control in older adults with T2DM of a duration of ≥10 years, including muscle mass, muscle quality, and β-cell function. Methods This was a prospective study of older patients aged ≥60 years with a T2DM duration of ≥10 years. The Homeostatic Model Assessment of Insulin Resistance (HOMA-IR) index, handgrip strength (HGS), and body composition through bioelectrical impedance analysis were assessed. The primary outcome was a composite of: (i) increment of glycated hemoglobin (HbA1c) from the baseline ≥0.6% and (ii) HbA1c ≥ 9% at any time point during the follow-up period. To find the predicting determinants of the outcome, we performed the Cox proportional hazard analysis. Results Among 100 patients (mean age, 64.0 ± 8.6 years; median duration of diabetes, 20 [interquartile range (IQR), 17–23] years; median HbA1c at baseline, 7.1 [IQR, 6.7–7.4] %), the primary outcome was observed in 40 (40.0%) patients during 4.0 (IQR 2.3–5.0) years of follow-up. A Cox proportional hazards model adjusted for age, sex, baseline HbA1c, obesity, duration of DM and anti-diabetic medication at baseline showed that low HGS and insulin resistance at the baseline were independent determinants of the primary outcome (hazard ratio [HR] = 2.23 [95% confidence interval (CI), 1.06–4.72] and 2.39 [95% CI, 1.18–4.83], respectively). Sex stratification confirmed that HGS and muscle mass were independent determinants of the primary outcome only in women (HR per quartile, 0.58 [95% CI, 0.37–0.93] and 0.46 [95% CI, 0.25–0.85], respectively). `. Conclusions Low HGS and insulin resistance were independent risk factors for aggravated glycemic control among older patients with long standing T2DM.


2019 ◽  
Vol 31 (2) ◽  
pp. 190-194 ◽  
Author(s):  
Yoshikazu Hirasawa ◽  
Ryosuke Matsuki ◽  
Toshihiko Ebisu ◽  
Takeshi Kurose ◽  
Yoshiyuki Hamamoto ◽  
...  

Nutrients ◽  
2019 ◽  
Vol 11 (4) ◽  
pp. 834 ◽  
Author(s):  
Katarzyna Maliszewska ◽  
Edyta Adamska-Patruno ◽  
Joanna Goscik ◽  
Danuta Lipinska ◽  
Anna Citko ◽  
...  

The major risk factors of T2DM (type 2 diabetes mellitus) development are still under investigation. We evaluate the possible risk factors associated with type 2 diabetes (T2DM) in adult subjects during a five-year prospective cohort study. We recruited 1160 subjects who underwent oral glucose tolerance test, anthropometric measurements, and body composition and body fat distribution analysis at a baseline visit and again at follow-up after approximately five years. The conclusions of this study are based on observation of 219 subjects who attended both the first and follow-up visits. The fasting serum insulin was measured, and HOMA-IR (homeostatic model assessment of insulin resistance) was calculated. During the follow-up period, T2DM was diagnosed in 7.4% of participants, impaired fasting glucose in 37.7%, and impaired glucose tolerance in 9.3%. Logistic regression models, adjusted for age, were constructed. The changes in glucose concentration, visceral fat tissue content, insulin resistance, and %loss of muscle mass were chosen as the potential predictors for T2DM development. A set of independent variables was extracted. The constructed feature set comprised change in HOMA-IR (OR (odds ratio) = 1.01, p < 0.01) and change in %loss of muscle mass (OR = 0.84, p < 0.03). With an aim to validate the prediction capability using the selected attributes, a support vector machine classifier and leave-one-out cross-validation procedure was applied, yielding 92.78% classification accuracy. Our results show the correlation between the %loss of muscle mass and T2DM development in adults, independent of changes in insulin resistance.


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