Comparisons of visual perception, response-selection, and response-execution performance were made between Type 2 diabetes mellitus patients and a matched nondiabetic control group. 10 well-controlled male patients with Type 2 diabetes without diabetic complications (M age 58 yr.) and an age and IQ-matched non-diabetic control group consisting of 13 male healthy volunteers (M age 57 yr.) were included. Significant differences were found only between the two groups on response-selection performance, which concerns the selection and preparation of an appropriate motor action.
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From the publisher's site: "Trial design: Self-management plays a central role in diabetes management. However, not all patients are able to translate the health care providers’ recommendations for effective self-management in daily life. Diabetes Education and Self-management to Increase Empowerment (DESTINE) primarily investigates the effects of group education program Proactive Interdisciplinary Self-Management (PRISMA) in primary care treated people with Type 2 Diabetes Mellitus (T2DM) on the use of an online care platform. Methods: The DESTINE study has a randomized controlled design (1:1). 200 patients with T2DM using an online care platform called e-Vita will receive either PRISMA in addition to usual care or usual care only. The primary endpoint of this study is usage of the e-Vita platform. The secondary endpoints are participation in the consultation with the care provider, adherence to oral diabetes medications, and a selection of self-reported and clinical measures. After six months, both groups will receive PRISMA in a 6 month extension phase. Discussion: PRISMA focuses on aligning treatment goals from different health care providers while the individual patient remains in the lead. The goal is to shift patients from being an information receiver towards applying self-management and becoming empowered health care participants. Though recognized as important; theoretically based group education is still not routinely offered in the Netherlands. In the future, depending on the study results, e-Vita and PRISMA could be implemented in regular diabetes care. Trial registration: Current Controlled Trials NTR4693. (aut. ref.)"
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Both exercise training and a lifestyle-intervention program increase UCP3 protein content inskeletal muscle of subjects with reduced glycaemic control, indicating a restoration towards normal UCP3 levels. These data support the idea that UCP3 has a role in the aetiology of type 2 diabetes mellitus
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Inleiding Het doel van dit vragenlijstonderzoek was om in kaart te brengen op welke manieren en op welke momenten mensen met diabetes mellitus type 2 willen participeren bij de ontwikkeling en toepassing van e-health, en welke factoren daarop van invloed zijn. Methode Via verschillende online platforms en de nieuwsbrief van de Diabetesvereniging Nederland is een digitale vragenlijst verspreid met zowel gesloten als open vragen. Informatie werd verzameld over: 1) bereidheid tot participatie; 2) voorkeuren over de vorm van participatie; 3) beïnvloedbare factoren voor participatie, zoals motivatie, competentie, middelen, sociale invloed en uitkomstverwachtingen; 4) achtergrondkenmerken. Resultaten Er zijn 160 vragenlijsten geanalyseerd. Ruim 75% van de respondenten heeft interesse in patiëntparticipatie. De meeste respondenten prefereren solistische participatiemethoden boven groepsparticipatie, respectievelijk 93% en 46%. De helft denkt voldoende kennis te hebben om mee te kunnen doen aan patiëntparticipatie en 40% denkt een waardevolle inbreng te kunnen hebben. Als vergoeding wensen deelnemers vooral het gratis gebruik van nieuwe technologie. Conclusie Omdat mensen verschillen in hun voorkeuren voor momenten en manieren van participatie, is het aan te bevelen daarvoor verschillende vormen van participatie en vergoedingen aan te bieden tijdens het gehele proces van ontwikkeling tot toepassing van e-health.
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(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.
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OBJECTIVE: To examine how a healthy lifestyle is related to life expectancy that is free from major chronic diseases.DESIGN: Prospective cohort study.SETTING AND PARTICIPANTS: The Nurses' Health Study (1980-2014; n=73 196) and the Health Professionals Follow-Up Study (1986-2014; n=38 366).MAIN EXPOSURES: Five low risk lifestyle factors: never smoking, body mass index 18.5-24.9, moderate to vigorous physical activity (≥30 minutes/day), moderate alcohol intake (women: 5-15 g/day; men 5-30 g/day), and a higher diet quality score (upper 40%).MAIN OUTCOME: Life expectancy free of diabetes, cardiovascular diseases, and cancer.RESULTS: The life expectancy free of diabetes, cardiovascular diseases, and cancer at age 50 was 23.7 years (95% confidence interval 22.6 to 24.7) for women who adopted no low risk lifestyle factors, in contrast to 34.4 years (33.1 to 35.5) for women who adopted four or five low risk factors. At age 50, the life expectancy free of any of these chronic diseases was 23.5 (22.3 to 24.7) years among men who adopted no low risk lifestyle factors and 31.1 (29.5 to 32.5) years in men who adopted four or five low risk lifestyle factors. For current male smokers who smoked heavily (≥15 cigarettes/day) or obese men and women (body mass index ≥30), their disease-free life expectancies accounted for the lowest proportion (≤75%) of total life expectancy at age 50.CONCLUSION: Adherence to a healthy lifestyle at mid-life is associated with a longer life expectancy free of major chronic diseases.
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Using stable isotope techniques, this study shows that plasma free fatty acid oxidation is not impaired during exercise in non-obese type II diabetic patients.
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The studies in this thesis aim to increase understanding of the effects of various characteristics of scientific news about a common chronic disease, i.e., diabetes, on the cognitive responses (e.g., emotions, attitudes, intentions) of diabetes patients. The research questions presented in this thesis are guided by the Health Belief Model, a theoretical framework developed to explain and predict healthrelated behaviours based on an individual’s beliefs and attitudes. The model asserts that perceived barriers to a recommended health behavior, advantages of the behavior, self-efficacy in executing the behavior, and disease severity and personal susceptibility to the disease are important predictors of a health behavior. Communication is one of the cues to action (i.e., stimuli) that may trigger the decision-making process relating to accepting a medical or lifestyle recommendation.
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A substantial proportion of chronic disease patients do not respond to self-management interventions, which suggests that one size interventions do not fit all, demanding more tailored interventions. To compose more individualized strategies, we aim to increase our understanding of characteristics associated with patient activation for self-management and to evaluate whether these are disease-transcending. A cross-sectional survey study was conducted in primary and secondary care in patients with type-2 Diabetes Mellitus (DM-II), Chronic Obstructive Pulmonary Disease (COPD), Chronic Heart Failure (CHF) and Chronic Renal Disease (CRD). Using multiple linear regression analysis, we analyzed associations between self-management activation (13-item Patient Activation Measure; PAM-13) and a wide range of socio-demographic, clinical, and psychosocial determinants. Furthermore, we assessed whether the associations between the determinants and the PAM were disease-transcending by testing whether disease was an effect modifier. In addition, we identified determinants associated with low activation for self-management using logistic regression analysis. We included 1154 patients (53% response rate); 422 DM-II patients, 290 COPD patients, 223 HF patients and 219 CRD patients. Mean age was 69.6±10.9. Multiple linear regression analysis revealed 9 explanatory determinants of activation for selfmanagement: age, BMI, educational level, financial distress, physical health status, depression, illness perception, social support and underlying disease, explaining a variance of 16.3%. All associations, except for social support, were disease transcending. This study explored factors associated with varying levels of activation for self-management. These results are a first step in supporting clinicians and researchers to identify subpopulations of chronic disease patients less likely to be engaged in self-management. Increased scientific efforts are needed to explain the greater part of the factors that contribute to the complex nature of patient activation for self-management.
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OBJECTIVE: The increasing prevalence of diabetes suggests a gap between real world and controlled trial effectiveness of lifestyle interventions, but real-world investigations are rare. Electronic medical registration facilitates research on real-world effectiveness, although such investigations may require specific methodology and statistics. We investigated the effects of real-world primary care for patients with type 2 diabetes mellitus (T2DM). STUDY DESIGN AND SETTING: We used medical records of patients (n=2,549) with T2DM from 10 primary health care centers. A mixed-effects regression model for repeated measurements was used to evaluate the changes in weight and Hemoglobin A1c (HbA1c) over time. RESULTS: There was no statistically significant change in weight (+0.07 kg, P=0.832) and HbA1c (+0.03%, P=0.657) during the observation period of 972 days. Most patients maintained their physical activity level (70%), and 54 % had an insufficient activity level. The variability in the course of weight and HbA1c was because of differences between patients and not between health care providers. CONCLUSION: Despite effective lifestyle interventions in controlled trial settings, we found that real-world primary care is only able to stabilize weight and HbA1c in patients with T2DM over time. Medical registration can be used to monitor the actual effectiveness of interventions in primary care.
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