Background: Type 2 diabetes (T2D) tremendously affects patient health and health care globally. Changing lifestyle behaviors can help curb the burden of T2D. However, health behavior change is a complex interplay of medical, behavioral, and psychological factors.
View Article and Find Full Text PDFA public health emergency such as the COVID-19 pandemic has behavioral, mental and physical implications in patients with type 1 diabetes (T1D). To what extent the presence of a transplant further increases this burden is not known. Therefore, we compared T1D patients with an islet or pancreas transplant (β-cell Tx; = 51) to control T1D patients ( = 272).
View Article and Find Full Text PDFAims/hypothesis: There is a lack of e-health systems that integrate the complex variety of aspects relevant for diabetes self-management. We developed and field-tested an e-health system (POWER2DM) that integrates medical, psychological and behavioural aspects and connected wearables to support patients and healthcare professionals in shared decision making and diabetes self-management.
Methods: Participants with type 1 or type 2 diabetes (aged >18 years) from hospital outpatient diabetes clinics in the Netherlands and Spain were randomised using randomisation software to POWER2DM or usual care for 37 weeks.
Aims: To examine the prevalence and health risks of binge eating in people with diabetes.
Methods: Self-report data were analysed from a subsample (n = 582 type 1 diabetes/735 type 2 diabetes) of Diabetes MILES - the Netherlands, an online survey. Prevalence of binge eating was compared across diabetes type and treatment and between participants with and without binges for eating styles, diabetes treatment and outcomes, weight, BMI and psychological comorbidity.
Aims: To investigate changes in physical activity (PA) and psychological factors during societal lockdown in people with type 2 diabetes.
Methods: A cross-sectional study among Dutch adults with type 2 diabetes. Data were collected using online questionnaires.
Objective: To examine the relationship between risk factors for low patient activation and change in patient activation, well-being, and health outcomes in people with type 2 diabetes mellitus (T2DM).
Method: A longitudinal prospective study was conducted with measurements at baseline and 20-week follow-up among 603 people with T2DM participating in a group-based walking intervention. Patient activation and risk factors were assessed using online questionnaires.
Introduction: Lockdown measures have a profound effect on many aspects of daily life relevant for diabetes self-management. We assessed whether lockdown measures, in the context of the COVID-19 pandemic, differentially affect perceived stress, body weight, exercise and related this to glycemic control in people with type 1 and type 2 diabetes.
Research Design And Methods: We performed a short-term observational cohort study at the Leiden University Medical Center.
Unlabelled: Patients that have undergone successful simultaneous pancreas/kidney (SPK) transplantation attain normoglycemia and are free from dialysis. However, only a minor improvement in quality of life (QOL) has been demonstrated. Here, we evaluated the role of psychological symptoms in QOL after SPK transplantation.
View Article and Find Full Text PDFStud Health Technol Inform
September 2019
The number of people with diabetes is increasing in every European country and like all chronic diseases it cannot be cured. However, patient empowerment is an acknowledged strategy for improving the patients' health situation. This paper describes the Action Plan Engine developed as a tool for diabetes patients in the POWER2DM project.
View Article and Find Full Text PDFObjective: We aim to deliver a framework with 2 main objectives: 1) facilitating the design of theory-driven, adaptive, digital interventions addressing chronic illnesses or health problems and 2) producing personalized intervention delivery strategies to support self-management by optimizing various intervention components tailored to people's individual needs, momentary contexts, and psychosocial variables.
Materials And Methods: We propose a template-based digital intervention design mechanism enabling the configuration of evidence-based, just-in-time, adaptive intervention components. The design mechanism incorporates a rule definition language enabling experts to specify triggering conditions for interventions based on momentary and historical contextual/personal data.
Purpose: To evaluate the effect of multidisciplinary treatment on obesity and health-related quality of life (HRQOL).
Methods: Obese children were randomized to a multidisciplinary lifestyle treatment, including medical, nutritional, physical, and psychological counseling during 3 months, (n = 40, BMI-SDS; 4.2 ± 0.
Background: Drop-out is a major problem in weight loss studies. Although previous attrition research has examined some predictors of drop-out, theoretically grounded research on psychological predictors of drop-out from weight interventions has been lacking.
Purpose: To examine psychological predictors of drop-out from a weight reduction study in diabetes type 2 patients.
Purpose: The main purpose of this article was to investigate the value of a self-regulation approach for weight reduction interventions in patients with type 2 diabetes. In addition, the potentially moderating effect of other intervention characteristics was explored.
Methods: In a meta-analysis of 34 studies, overall effect sizes were calculated for weight and A1C.
Objective: To evaluate the efficacy of a self-regulation (SR) weight reduction intervention on weight, body mass index (BMI), glycosylated hemoglobin (HbA1c) (primary outcomes), exercise, nutrition and quality of life (secondary outcomes).
Methods: A pilot intervention (n=53) based on SR-principles consisted of a motivational interview, group sessions and a workbook and was evaluated against standard care with (n=38) and without a self-help manual (n=38). Subjects were overweight (BMI>27) patients with type 2 diabetes (52% female) from a Dutch hospital (mean age 58.