scholarly journals Muscle Strength and Glycaemic Control among Patients with Type 2 Diabetes

2020 ◽  
Author(s):  
Haya Abduhijleh ◽  
Joud Alalwani ◽  
Dana Alkhatib ◽  
Hiba Bawadi
Keyword(s):  
Physical Activity ◽  
Type 2 Diabetes ◽  
Glycemic Control ◽  
Muscle Strength ◽  
Glycaemic Control ◽  
Handgrip Strength ◽  
Poor Glycaemic Control ◽  
Patients With Diabetes ◽  
Insulin Use

Background: The prevalence of diabetes has been rising sharply since 1980, reaching 422 million cases worldwide in 2014. Physical activity and handgrip strength may be associated with good glycaemic control among patients with diabetes Objective: We tested the association between handgrip strength and glycemic control in type 2 diabetes patients, from National Health and Nutritional Examination Survey NHANES 2011-2014 and the contribution of the study covariates to this association. Hypothesis: Muscle strength is positively associated with glycemic control in type two diabetes. Methodology: This cross-sectional study examined the association between handgrip strength and glycaemic control among patients with diabetes. Data on 1058 participants aged 40 and older were collected from the NHANES. Muscle strength was assessed using a handgrip dynamometer, and blood samples were obtained to observe the glycaemic control values. Height, body weight, physical activity, insulin use, smoking status, alcohol use, participant demographics, and income-to-poverty ratio were all considered in the study. Results: logistic regression analysis was used to assess the association between handgrip strength and poor glycaemic control among participants with diabetes. Three models were used, each model adjusted to include different variables. OR values revealed no association between handgrip strength and glycaemic control. However, model 2, which was adjusted for sedentary activity, income-topoverty ratio, education, and smoking, shows a trend towards an association. Patients in quartile 4 of handgrip had 0.59 odds of poor glycaemic control, OR = 0.59 (95% CI: 0.34–1.02). However, in model 3 this effect was diluted when further adjusted for insulin use, OR = 0.81 (95% CI: 0.47– 1.38). Further analysis was performed to examine the mean decline in handgrip strength among non-insulin and insulin users. Non-insulin users, both men and women, have higher handgrip strength as compared to insulin users. Conclusion: There was no association found between handgrip and glycaemic control among patients with diabetes.

scholarly journals Muscle Strength and Glycaemic Control among Patients with Type 2 Diabetes

Nutrients ◽  
2020 ◽  
Vol 12 (3) ◽  
pp. 771
Author(s):  
Hiba Bawadi ◽  
Dana Alkhatib ◽  
Haya Abu-Hijleh ◽  
Joud Alalwani ◽  
Lina Majed ◽  
...  
Keyword(s):  
Muscle Strength ◽  
Glycaemic Control ◽  
Handgrip Strength ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Poor Glycaemic Control ◽  
Patients With Diabetes ◽  
Life Threatening ◽  
And Gender ◽  
Insulin Use

Poor glycaemic control is associated with chronic life-threatening complications. This cross-sectional study examined whether there is an association between handgrip strength and glycaemic control among patients with diabetes. Data on 1058 participants aged 40 and older were collected from the National Health and Nutritional Examination Survey (NHANES). Muscle strength was assessed using a handgrip dynamometer, and glycaemic control was assessed using HbA1c. Handgrip strength was presented as age- and gender-specific quartiles, with participants in quartile 1 having the lowest handgrip strength and participants in quartile 4 having the highest handgrip strength. Logistic regression analyses were used to assess the association between handgrip strength and poor glycaemic control among participants with diabetes. Three models, each adjusted to include different variables, were employed. Odds ratio (OR) values revealed no association between handgrip strength and glycaemic control after adjusting for age, gender, and race in model 1. With further adjustment for sedentary activity, income-to-poverty ratio, education, and smoking, patients in quartile 4 of handgrip strength had 0.51 odds of poor glycaemic control (95% CI: 0.27–0.99). However, the reported association above vanished when further adjusted for insulin use (OR = 0.67; 95% CI: 0.35–1.28). In conclusion, findings may indicate an association between glycaemic control and muscle strength. This association may be altered by insulin use; further investigations are required.

scholarly journals Glycaemic control in type 2 diabetes patients and its predictors: a retrospective database study at a tertiary care diabetes centre in Ningbo, China

BMJ Open ◽  
2018 ◽  
Vol 8 (3) ◽  
pp. e019697 ◽  
Author(s):  
Jialin Li ◽  
Kaushik Chattopadhyay ◽  
Miao Xu ◽  
Yanshu Chen ◽  
Fangfang Hu ◽  
...  
Keyword(s):  
Physical Activity ◽  
Type 2 Diabetes ◽  
Glycaemic Control ◽  
Rural Areas ◽  
Tertiary Care ◽  
Fasting Blood Glucose ◽  
Information Management System ◽  
Cross Sectional ◽  
Poor Glycaemic Control

ObjectivesThe objectives of the study were to assess glycaemic control in patients with type 2 diabetes (T2DM) at a tertiary care diabetes centre in Ningbo, China and to determine factors that independently predict their glycaemic control.DesignRetrospective cross-sectional study using an existing database, the Diabetes Information Management System.SettingTertiary care diabetes centre in Ningbo, China.ParticipantsThe study included adult patients with T2DM, registered and received treatment at the diabetes centre for at least six consecutive months. The study inclusion criteria were satisfied by 1387 patients, from 1 July 2012 to 30 June 2017.Primary outcome measureGlycaemic control (poor was defined as glycated haemoglobin (HbA1c)>=7% or fasting blood glucose (FBG)>7.0 mmol/L).ResultsIn terms of HbA1c and FBG, the 5-year period prevalence of poor glycaemic control was 50.3% and 57.3%, respectively. In terms of HbA1c and FBG, the odds of poor glycaemic control increased with the duration of T2DM (>1 to 2 years: OR 1.84, 95% CI 1.06 to 3.19; >2 to 4 years: 3.32, 1.88 to 5.85 and >4 years: 5.98, 4.09 to 8.75 and >1 to 2 years: 2.10, 1.22 to 3.62; >2 to 4 years: 2.48, 1.42 to 4.34 and >4 years: 3.34, 2.32 to 4.80) and were higher in patients residing in rural areas (1.68, 1.24 to 2.28 and 1.42, 1.06 to 1.91), with hyperlipidaemia (1.57, 1.12 to 2.19 and 1.68, 1.21 to 2.33), on diet, physical activity and oral hypoglycaemic drug (OHD) as part of their T2DM therapeutic regimen (1.80, 1.01 to 3.23 and 2.40, 1.36 to 4.26) and on diet, physical activity, OHD and insulin (2.47, 1.38 to 4.41 and 2.78, 1.58 to 4.92), respectively.ConclusionsMore than half of patients with T2DM at the diabetes centre in Ningbo, China have poor glycaemic control, and the predictors of glycaemic control were identified. The study findings could be taken into consideration in future interventional studies aimed at improving glycaemic control in these patients.

scholarly journals Empowering Patients for Healthy Nutrition, Physical Activity, and Self-Care Using the Diabetes Score Questionnaire

2021 ◽  
Vol 27 (4) ◽  
pp. 131-136
Author(s):  
Muhammad Jawad Hashim ◽  
Halla Mustafa
Keyword(s):  
Physical Activity ◽  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Glycemic Control ◽  
Lifestyle Change ◽  
Lifestyle Factors ◽  
Health Care Center ◽  
Healthy Nutrition ◽  
Patients With Diabetes

<b><i>Objectives:</i></b> Lifestyle factors such as nutrition and physical activity play an important role in the management of diabetes mellitus. Unfortunately, adherence to lifestyle change remains low among patients with diabetes. The aim of this study was to evaluate the effectiveness of the Diabetes Score questionnaire in a clinical setting. <b><i>Methods:</i></b> The Diabetes Score is a 10-item shared decision-making tool designed to empower lifestyle change in individuals with diabetes. It yields an intuitive score from 0 to 100 based on a patient’s adherence to lifestyle recommendations. An observational study was conducted at an ambulatory health care center. After obtaining written informed consent, adult patients with type 2 diabetes mellitus were interviewed by a trained researcher using the Diabetes Score questionnaire. Patients’ Diabetes Score values were analyzed in reference to their glycemic control and other clinical and demographic factors. <b><i>Results:</i></b> A total of 60 individuals with type 2 diabetes participated in the study. The mean age was 56 years (minimum 43 years, maximum 70 years) with 60% being males. Higher Diabetes Scores correlated with better glycemic control (hemoglobin A1C; <i>r</i> = −0.23, <i>p</i> = 0.044) indicating the effect of lifestyle factors such as healthy nutrition, smaller portion sizes, active lifestyle, and aerobic exercise. The questionnaire showed internal consistency (alpha 0.66), construct validity, and high patient satisfaction (98%). <b><i>Conclusion:</i></b> Diabetes Score, a behavioral lifestyle questionnaire, correlates with glycemic control in type 2 diabetes. Diabetes Score can be used in clinical settings for measuring, discussing, and setting targets for lifestyle change among patients with diabetes.

THE ROLE OF TRIGLYCERIDE GLUCOSE INDEX AS PREDICTOR OF GLYCEMIC CONTROL IN PATIENTS WITH TYPE 2 DIABETES MELLITUS

2021 ◽  
pp. 106-108
Author(s):  
Charchit Mehta ◽  
Vidyasagar C R ◽  
Raveesha A
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Glycemic Control ◽  
Glycaemic Control ◽  
General Medicine ◽  
Poor Glycaemic Control ◽  
Good Glycaemic Control ◽  
Triglyceride Glucose Index

Objectives- To explore the association of Triglyceride Glucose index with HbA c and To evaluate their 1 potential role as predictors of glycemic control in patients with type 2 diabetes mellitus. Design: observational study Setting: Conducted in the Department of General Medicine at Sri Devaraj Urs medical college, Kolar, Karnataka. Subjects: 98 diabetic subjects were studied and were evaluated for predicting glycemic control using triglyceride glucose index. Results: Among subjects with good glycaemic control (HbA1c <7%) mean Triglyceride was 136 + 21.78 mg/dl and Among subjects with poor glycaemic control (HbA1c >7%) mean Triglyceride was 190.35 + 62.94 mg/dl. there was a statistically signicant difference found between Triglyceride and HbA1c. Among subjects with good glycaemic control (HbA1c <7%) mean Triglyceride glucose index was 9275.06 + 2154.22 mg/dl and Among subjects with poor glycaemic control (HbA1c >7%) mean Triglyceride glucose index was 24223.63+ 15794.73mg/dl. there was a statistically signicant difference found between Triglyceride glucose index and HbA1c Conclusion: We can use Triglyceride glucose index in predicting glycaemic control in type 2 DM which is inexpensive and cost effective.

scholarly journals Clinical characteristics and determinants of glycaemic control among type 2 diabetes mellitus (T2DM) patients in Fiji

2021 ◽  
Author(s):  
Pablo Romakin ◽  
Donald Wilson ◽  
Sabiha Khan ◽  
Masoud Mohaammadnezhad
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Glycemic Control ◽  
Glycaemic Control ◽  
Blood Sugar ◽  
Diabetes Management ◽  
Control Level ◽  
Poor Glycaemic Control

Abstract Background: Glycemic control is the centre in diabetes management. In patients with type 2 diabetes mellitus (T2DM), glycemic control is associated with clinical determinants. The aim of this study was to determine the proportion of poor glycemic control level and its clinical determinants among T2DM patients.Methods: This retrospective cross-sectional study was conducted on the medical records of T2DM patients attending diabetes clinics at the three selected health centres in Suva, Fiji. Patients who met the following criteria were included in the study: adult T2DM >18 years old registered during 2011 to 2016; on treatment for >1year; had >4 clinic visits and; had a recent HbA1c result in 2017. Logistic regression analysis was performed. A p value of <0.05 was considered as significant.Results: There were 200 female (59.2%) and 138 male (40.8%) T2DM patients included in this study with a mean age of 56.5 years (SD = + 9.9). Majority have poorly controlled random blood sugar (RBS), 67.1% and fasting blood sugar (FBS), 63.0%. Two-thirds (65.4%) had co-morbidities. The proportion of poor glycaemic control (HbA1c <7%) was 77.2% with mean HbA1c of 8.6% (+ 2.04). RBS, FBS, cholesterol, estimated glomerular filtration rate (eGFR) and diastolic blood pressure (DBP) were significant (p<0.05) determinants of poor glycaemic control.Conclusions: This study identified clinical determinants of T2DM patients that are highly associated with glycemic control. Health care workers managing T2DM patients should address these clinical determinants in order to achieve glycemic control.

Risk Factors Associated With Hyperuricemia in Patients with Diabetes Type 2: About 190 Cases

2020 ◽  
Vol 2 (1) ◽  
pp. 12-16
Author(s):  
Fennoun H ◽  
Haraj NE ◽  
El Aziz S ◽  
Bensbaa S ◽  
Chadli A
Keyword(s):  
Type 2 Diabetes ◽  
Heart Disease ◽  
Glycemic Control ◽  
Ischemic Heart Disease ◽  
Diabetes Type 2 ◽  
Diabetes Type ◽  
Ischemic Heart ◽  
Factors Associated ◽  
Patients With Diabetes

Introduction: Hyperuricemia is common Type 2 diabetes at very high cardiovascular risk. Objective: Evaluate the relationship between hyperuricemia and diabetes type 2, and determine its predictive factors in this population. Patients and Methods: Retrospective study cross including 190 patients with diabetes type 2 hospitalized Service of Endocrinology of CHU Ibn Rushd Casablanca from January 2015 to December 2017. Hyperuricemia was defined as a serum uric acid concentration> 70 mg/L (men) and> 60 mg/L (women). The variables studied were the anthropometric measurements), cardiovascular factors (tobacco, hypertension, dyslipidemia), and degenerative complications (retinopathy, neuropathy, kidney failure, ischemic heart disease). The analyzes were performed by SPSS software. Results: Hyperuricemia was found in 26.5% of patients with a female predominance (76%), an average age of 55.9 years, and an average age of 12.4ans diabetes. The glycemic control was found in 84.6% of cases with mean glycated hemoglobin 8.6%. Factors associated al hyperuricemia were the blood pressure in 86% (p <0.05), dyslipidemia in 76.3% of cases (p <0.001) with hypertriglyceridemia in 48.3% of cases (p <0.02), and a hypoHDLémie 28% (p <0.001). The age, obesity, smoking, and glycemic control were associated significantly n al hyperuricemia. The research of degenerative complications of hyperuricemia has objectified renal impairment (GFR between 15 and 60ml / min) chez47% (p <0.001), it was kind of moderate in 35.8% (p <0.01) and severe in 5.1% (p <0.02), ischemic heart disease was found in 34% of cases (p <0.01). Conclusion: In our study, hyperuricemia in type 2 diabetes is common in female patients, especially with hypertension, dyslipidemia, and renal failure. Other factors such as age, obesity, smoking is not associated with hyperuricemia in type 2 diabetics.

Psychometric Properties of the Korean Version of the Perceived Therapeutic Efficacy Scale for Physical Activity in Adults With Type 2 Diabetes

2021 ◽  
pp. 263501062110586
Author(s):  
Moonsun Kim ◽  
Chun-Ja Kim ◽  
Dae Jung Kim ◽  
Elizabeth A. Schlenk
Keyword(s):  
Physical Activity ◽  
Type 2 Diabetes ◽  
Factor Analysis ◽  
Glycemic Control ◽  
Confirmatory Factor Analysis ◽  
Therapeutic Efficacy ◽  
Cronbach’S Alpha ◽  
Cronbach's Alpha ◽  
Confirmatory Factor

Purpose: The purpose of this study is to translate the Perceived Therapeutic Efficacy Scale (PTES) into Korean and investigate its validity and reliability. Methods: The authors conducted a cross-sectional survey using baseline data from a randomized controlled study to psychometrically validate the PTES-Korean (PTES-K) among 108 adults with type 2 diabetes from an outpatient clinic at a university-affiliated hospital in Korea. The original PTES was forward-translated and back-translated to ensure translation equivalence of the PTES-K. Structured questionnaires were used for psychometric evaluation; exploratory and confirmatory factor analysis assessed validity, and Cronbach’s alpha coefficient and intraclass correlation coefficient (ICC) were used for reliability. Results: The interitem correlation analyses revealed that 5 items were redundant; thus, the scale was reduced to 5 items. A 1-factor model explained 76.85% of the variance; confirmatory factor analysis showed that this model adequately fit the data. The ICC for test-retest reliability was .78; Cronbach’s alpha was .92. The PTES-K showed significant associations with the scores of diabetes self-care activities for physical activity, quality of life, and depressive symptoms. Participants with good glycemic control and regular physical activity tended to have a higher score on the PTES-K than their counterparts, demonstrating known-groups validity. Conclusions: The cross-cultural applicability, reliability, and validity of the PTES-K were confirmed. The PTES-K may be used in clinical settings to examine the potential role of perceived therapeutic efficacy for physical activity in enhanced glycemic control among patients with diabetes.

The Spoken Knowledge in Low Literacy in Diabetes Scale

2005 ◽  
Vol 31 (2) ◽  
pp. 215-224 ◽  
Author(s):  
Russell L. Rothman ◽  
Robb Malone ◽  
Betsy Bryant ◽  
Catherine Wolfe ◽  
Penelope Padgett ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Glycemic Control ◽  
Fasting Blood Glucose ◽  
Average Score ◽  
Low Literacy ◽  
Internal Reliability ◽  
Duration Of Diabetes ◽  
Patients With Diabetes ◽  
Literacy Level

Purpose The purpose of this study was to develop and validate a new knowledge scale for patients with type 2 diabetes and poor literacy: the Spoken Knowledge in Low Literacy patients with Diabetes (SKILLD). Methods The authors evaluated the 10-item SKILLD among 217 patients with type 2 diabetes and poor glycemic control at an academic general medicine clinic. Internal reliability was measured using the Kuder-Richardson coefficient. Performance on the SKILLD was compared to patient socioeconomic status, literacy level, duration of diabetes, and glycated hemoglobin (A1C). Results Respondents’ mean age was 55 years, and they had diabetes for an average of 8.4 years; 38% had less than a sixth-grade literacy level. The average score on the SKILLD was 49%. Less than one third of patients knew the signs of hypoglycemia or the normal fasting blood glucose range. The internal reliability of the SKILLD was good (0.72). Higher performance on the SKILLD was significantly correlated with higher income (r= 0.22), education level (r= 0.36), literacy status (r= 0.33), duration of diabetes (r= 0.30), and lower A1C (r= –0.16). When dichotomized, patients with low SKILLD scores (= 50%) had significantly higher A1C (11.2% vs 10.3%, P< .01). This difference remained significant when adjusted for covariates. Conclusion The SKILLD demonstrated good internal consistency and validity. It revealed significant knowledge deficits and was associated with glycemic control. The SKILLD represents a practical scale for patients with diabetes and low literacy.

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