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.

scholarly journals Diabetes Mellitus and the Risk for Developing Cancer

2013 ◽  
Vol 2 (1) ◽  
pp. 41-43
Author(s):  
Shane Malachy Markey ◽  
Marie A Congiusta
Keyword(s):  
Physical Activity ◽  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
New York ◽  
Research Evidence ◽  
New York University ◽  
Contributing Factors ◽  
The World ◽  
Patients With Diabetes

ABSTRACT Diabetes mellitus is a serious and growing health care problem, globally. The ‘westernization’ of diets around the world has led to an increase in obesity. Other contributing factors such as smoking, lack of physical activity and aging has led to epidemiological concerns regarding the link between diabetes and cancer. Research evidence suggests that patients with diabetes may be at greater risk for the development of some forms of cancer. The patient being discussed in this case report presented to New York University College of Dentistry (NYUCD), with a history that included type 2 diabetes mellitus, seeking comprehensive dental care. During the interim between his initial exam and following appointment, a lesion had developed on the palate, which was subsequently diagnosed as adenocarcinoma. This prompted the review of current literature, regarding the link between diabetes and the development of various cancers. How to cite this article Markey SM, Congiusta MA. Diabetes Mellitus and the Risk for Developing Cancer. Int J Experiment Dent Sci 2013;2(1):41-43.

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 Experience of type 2 diabetes mellitus patients during COVID-19

2021 ◽  
Vol 8 (4) ◽  
pp. 2042
Author(s):  
Prathap Vasigar ◽  
Rajalakshmi Mahendran ◽  
Reenaa Mohan
Keyword(s):  
Mental Health ◽  
Physical Activity ◽  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Chronic Diseases ◽  
Diabetes Patient ◽  
Stress Development ◽  
Patients With Diabetes

Lockdown during COVID-19 have impact in type 2 diabetes mellitus patients requiring medication and routine physical activity. The stress, development of complications of chronic diseases, locked in experience, fear of dying and loneliness in hospital. All these issues suggest that mental health of the diabetes patient is being affected enormously. In this report, we discussed the experience of three patients with diabetes mellitus and among them two acquired COVID-19 admitted to the COVID ward.

scholarly journals Interaction Between Physical Activity and Polygenic Score on Type 2 Diabetes Mellitus in Older Black and White Participants From the Health and Retirement Study

2021 ◽  
Author(s):  
Yan Yan Wu ◽  
Mika D Thompson ◽  
Fadi Youkhana ◽  
Catherine M Pirkle
Keyword(s):  
Physical Activity ◽  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Lifestyle Factors ◽  
Health And Retirement Study ◽  
Black And White ◽  
Prospective Longitudinal ◽  
Retirement Study

Abstract This study investigated the association of lifestyle factors and polygenic risk scores (PGS), and their interaction, on type 2 diabetes mellitus (T2D). We examined data from the U.S. Health and Retirement Study, a prospective longitudinal cohort of adults aged 50 years and older, containing nationally representative samples of Black and White Americans with precalculated PGS for T2D (N = 14 001). Predicted prevalence and incidence of T2D were calculated with logistic regression models. We calculated differences in T2D prevalence and incidence by PGS percentiles and for interaction variables using nonparametric bootstrap method. Black participants had approximately twice the prevalence of Whites (26.2% vs 14.2%), with a larger difference between the 90th and 10th PGS percentile from age 50 to 80 years. Significant interaction (pinteraction = .0096) was detected between PGS and physical activity among Whites. Among Whites in the 90th PGS percentile, T2D prevalence for moderate physical activity was 17.0% (95% CI: 14.8, 19.6), 6.8% lower compared to no/some physical activity (23.8%; 95% CI: 20.4, 27.5). T2D prevalence was similar (~10%) for both groups in the 10th PGS percentile. Incident T2D in Whites followed a similar pattern (pinteraction = .0325). No significant interactions with PGS were detected among Black participants. Interaction of different genetic risk profiles with lifestyle factors may inform understanding of varying inventions’ efficacy for different groups of people, potentially improving clinical and prevention interventions.

scholarly journals Relationship between hematological parameters and glycemic control in type 2 diabetes mellitus patients

2019 ◽  
Vol 38 (2) ◽  
pp. 164-171 ◽  
Author(s):  
Dragana Milosevic ◽  
Violeta Lukic Panin
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Glycemic Control ◽  
Complete Blood Count ◽  
Hematological Parameters ◽  
Care Center ◽  
Health Care Center ◽  
Study Results

Summary Background Diabetes mellitus (DM) with its micro- and macrocomplications is the leading global epidemic of the 21st century. The aim of the research is to determine possible changes in the complete blood count (CBC) parameters depending on glycemic controlin patients with Type 2 diabetes mellitus (T2DM). Methods The study included a total of 178 patients with T2DM, both gender over the age of 40 years, from the Health Care Center »Dr Milorad Mika Pavlović« Indjija, Serbia. To notice the possible correlation between the CBC parameters and glucose control in T2DM, the subjects were divided in two groups with HbA1c ≤ 7% and with HbA1c>7%. We analysed CBC parameters, parameters of glycoregulation, lipid status using standard biochemical methods, performed anthropometric measurements and collected patients data by questionnaire and electronic patient card. Results There was statistical difference between HbA1c groups for PMDW (p=0.045), HDL (p=0.0067). Using univariate linear regression it is shown that PCT was correlated with WBC (p=0.0005), neutrophils (p=0.046), monocytes (p=0.003); MPM was associated with MPV (p=0.0005); MPC (p=0.0005), PDW (P=0.0005), GLU0 (p=0.034), HDL-C (p=0.005); PMDW was correlated with HbA1c% (p=0.049), GLU0 (p=0.013), HDL-C (p=0.001), BW (p=0.043) in all patients. Conclusions Based on our study results it may be concluded that some of the parameters of CBC could be useful tool in following glycemic control of diabetics.

scholarly journals Factors Associated with Long-Term Control of Type 2 Diabetes Mellitus

2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Mohammed Badedi ◽  
Yahiya Solan ◽  
Hussain Darraj ◽  
Abdullah Sabai ◽  
Mohamed Mahfouz ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Glycemic Control ◽  
Care Center ◽  
Poor Glycemic Control ◽  
Health Care Center ◽  
Factors Associated

Aims.This study assessed factors associated with glycemic control among Saudi patients with Type 2 diabetes mellitus (T2DM).Methods.We conducted an analytical cross-sectional study, which included a random sample of 288 patients with T2DM proportional to the diabetes population of each primary health care center in Jazan city, Kingdom of Saudi Arabia.Results.More than two-thirds (74%) of patients had poor glycemic control. Lack of education, polypharmacy, and duration of diabetes ≥ 7 years were significantly associated with higher glycated hemoglobin (HbA1c). Moreover, patients who were smoker or divorced were significantly more likely to have higher HbA1c. The patients who did not comply with diet or take their medications as prescribed had poor glycemic control. The study found lower HbA1c levels among patients who received family support or had close relationship with their physicians. Similarly, knowledgeable patients towards diabetes or those with greater confidence in ability to manage self-care behaviors had a lower HbA1c. In contrast, risk factors such as depression or stress were significantly correlated with poorer glycemic control.Conclusion.The majority of T2DM patients had poor glycemic control. The study identified several factors associated with glycemic control. Effective and tailored interventions are needed to mitigate exposure to these risk factors. This would improve glycemic control and reduce the risks inherent to diabetes complications.

scholarly journals Acute onset monoparesis in newly diagnosed patients with type 2 diabetes mellitus with poor glycemia

2020 ◽  
Vol 8 (9) ◽  
pp. 3348
Author(s):  
Rohit Raina ◽  
Mukaresh Fatima ◽  
Areca Wangnoo
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Glycemic Control ◽  
Acute Onset ◽  
Newly Diagnosed ◽  
Good Glycemic Control ◽  
Initial Manifestation ◽  
Patients With Diabetes

In newly diagnosed patients with diabetes with poor glycemia, presentation is sometimes acute onset monoparesis, which eventually improved with good glycemic control. To report an unusual patient with newly diagnosed diabetes whose initial manifestation was acute onset monoparesis. A 58-year old female patient with new onset type 2 diabetes mellitus with diabetic ketoacidosis (DKA) who presented to us with acute onset monoparesis (right lower limb) lower motor neuron (LMN) type without bladder involvement, secondary to poor glycemia which eventually resolved with good glycemic control.

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