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Objective: To test the hypothesis that type 2 diabetes is associated with greater decline in cognitive function in middle-aged individuals.Research Design and Methods: In the Dutch prospective Doetinchem Cohort Study, cognitive functioning was measured twice within a 5-year time interval in 2,613 men and women. Participants were aged 43-70 years at baseline (1995-2002), and no one had a history of stroke. Change in scores on global cognitive function as well as on specific cognitive function domains (memory, speed of cognitive processes, and cognitive flexibility) were compared for respondents with and without type 2 diabetes (verified by the general practitioner or random plasma glucose levels >or=11.1 mmol/l).Results: At the 5-year follow-up, the decline in global cognitive function in diabetic patients was 2.6 times greater than that in individuals without diabetes. For individuals aged >or=60 years, patients with incident and prevalent diabetes showed a 2.5 and 3.6 times greater decline, respectively, in cognitive flexibility than individuals without diabetes. For most cognitive domains, the magnitude of cognitive decline in patients with incident diabetes was intermediate between that of individuals without diabetes and that of patients with diabetes at baseline.Conclusions: Middle-aged individuals with type 2 diabetes showed a greater decline in cognitive function than middle-aged individuals without diabetes. [ABSTRACT FROM AUTHOR]

OBJECTIVE: In the current study we explore the long-term health benefits and cost-effectiveness of both a community-based lifestyle program for the general population (community intervention) and an intensive lifestyle intervention for obese adults, implemented in a health care setting (health care intervention). RESEARCH DESIGN AND METHODS: Short-term intervention effects on BMI and physical activity were estimated from the international literature. The National Institute for Public Health and the Environment Chronic Diseases Model was used to project lifetime health effects and effects on health care costs for minimum and maximum estimates of short-term intervention effects. Cost-effectiveness was evaluated from a health care perspective and included intervention costs and related and unrelated medical costs. Effects and costs were discounted at 1.5 and 4.0% annually. RESULTS: One new case of diabetes per 20 years was prevented for every 7-30 participants in the health care intervention and for every 300-1,500 adults in the community intervention. Intervention costs needed to prevent one new case of diabetes (per 20 years) were lower for the community intervention (euro2,000-9,000) than for the health care intervention (euro5,000-21,000). The cost-effectiveness ratios were euro3,100-3,900 per quality-adjusted life-year (QALY) for the community intervention and euro3,900-5,500 per QALY for the health care intervention. CONCLUSIONS: Health care interventions for high-risk groups and community-based lifestyle interventions targeted to the general population (low risk) are both cost-effective ways of curbing the growing burden of diabetes. [ABSTRACT FROM AUTHOR]

Objective: To assess the change in level of diabetes quality management in primary care groups and outpatient clinics after feedback and tailored support., Research Design and Methods: This before-and-after study with a 1-year follow-up surveyed quality managers on six domains of quality management. Questionnaires measured organization of care, multidisciplinary teamwork, patient centeredness, performance results, quality improvement policy, and management strategies (score range 0-100%). Based on the scores, responders received feedback and a benchmark and were granted access to a toolbox of quality improvement instruments. If requested, additional support in improving quality management was available, consisting of an elucidating phone call or a visit from an experienced consultant. After 1 year, the level of quality management was measured again., Results: Of the initially 60 participating care groups, 51 completed the study. The total quality management score improved from 59.8% (95% CI 57.0-62.6%) to 65.1% (62.8-67.5%; P < 0.0001). The same applied to all six domains. The feedback and benchmark improved the total quality management score (P = 0.001). Of the 44 participating outpatient clinics, 28 completed the study. Their total score changed from 65.7% (CI 60.3-71.1%) to 67.3% (CI 62.9-71.7%; P = 0.30). Only the results in the domain multidisciplinary teamwork improved (P = 0.001)., Conclusions: Measuring quality management and providing feedback and a benchmark improves the level of quality management in care groups but not in outpatient clinics. The questionnaires might also be a useful asset for other diabetes care groups, such as Accountable Care Organizations., (© 2015 by the American Diabetes Association. Readers may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered.)

Objective: To investigate risk of a recurrent cardiovascular event and its predictors in a population-based cohort., Research Design and Methods: Participants of the Hoorn Study who had experienced a first cardiovascular event after baseline (n = 336) were followed with respect to a recurrent event. Absolute risk of a recurrent event was calculated for individuals with normal glucose metabolism, intermediate hyperglycemia, and type 2 diabetes. Cox regression models were used to investigate which variables, measured before the first vascular event, predicted a recurrent event using the stepwise backward procedure., Results: During a median follow-up of 4.1 years, 44% (n = 148) of the population developed a recurrent vascular event. The rate of recurrent events per 100 person-years was 7.2 (95% CI 5.8-8.7) in individuals with normal glucose metabolism, compared with 9.8 (6.6-14.0) in individuals with intermediate hyperglycemia and 12.5 (8.5-17.6) in individuals with type 2 diabetes. Higher age (hazard ratio 1.02 [95% CI 1.00-1.04]), male sex (1.56 [1.08-2.25]), waist circumference (1.02 [1.02-1.03]), higher systolic blood pressure (1.01 [1.01-1.02]), higher HbA1c (%, 1.13 [0.97-1.31]/ mmol/mol, 1.01 [1.00-1.03]), and family history of myocardial infarction (1.38 [0.96-2.00]) predicted a recurrent cardiovascular event., Conclusions: Individuals with type 2 diabetes, but not individuals with intermediate hyperglycemia, are at increased risk for a recurrent vascular event compared with individuals with normal glucose metabolism. In people with a history of cardiovascular disease, people at increased risk of a recurrent event can be identified based on the patient's risk profile before the first event.

OBJECTIVE To explore the potential long-term health and economic consequences of lifestyle interventions for diabetic patients. RESEARCH DESIGN AND METHODS A literature search was performed to identify interventions for diabetic patients in which lifestyle issues were addressed. We selected recent (2003-2008), randomized controlled trials with a minimum follow-up of 12 months. The long-term outcomes for these interventions, if implemented in the Dutch diabetic population, were simulated with a computer-based model. Costs and effects were discounted at, respectively, 4 and 1.5% annually. A lifelong time horizon was applied. Probabilistic sensitivity analyses were performed, taking account of variability in intervention costs and (long-term) treatment effects. RESULTS Seven trials with 147-5,145 participants met our predefined criteria. All interventions improved cardiovascular risk factors at > or =1 year follow-up and were projected to reduce cardiovascular morbidity over lifetime. The interventions resulted in an average gain of 0.01-0.14 quality-adjusted life-years (QALYs) per participant. Health benefits were generally achieved at reasonable costs (< or =euro50,000/QALY). A self-management education program (X-PERT) and physical activity counseling achieved the best results with > or =0.10 QALYs gained and > or =99% probability to be very cost-effective (< or =euro20,000/QALY). CONCLUSIONS Implementation of lifestyle interventions would probably yield important health benefits at reasonable costs. However, essential evidence for long-term maintenance of health benefits was limited. Future research should be focused on long-term effectiveness and multiple treatment strategies should be compared to determine incremental costs and benefits of one over the other.

Objective: To develop a predictive model to identify individuals with an increased risk for undiagnosed diabetes, allowing for the availability of information within the health care system., Research Design and Methods: A sample of participants from the Rotterdam Study (n = 1,016), aged 55-75 years, not known to have diabetes completed a questionnaire on diabetes-related symptoms and risk factors and underwent a glucose tolerance test. Predictive models were developed using stepwise logistic regression analyses with the absence or presence of newly diagnosed diabetes as the dependent variable and various items with a plausible connection to diabetes as the independent variables. The models were evaluated in another Dutch population-based study, the Hoorn Study (n = 2,364), in which the participants were aged 50-74 years. Performances of the predictive models were compared by using receiver-operator characteristics (ROC) curves., Results: We developed three predictive models (PMs), PM1 contained information routinely collected by the general practitioner, while PM2 also contained variables obtainable by additional questions. The third predictive model, PM3, included variables that had to be obtained from a physical examination. These latter variables did not have additive predictive value, resulting in a PM3 similar to PM2. The area under the ROC curve was higher for PM2 than for PM1, but the 95% Cls overlapped (0.74 [0.70-0.78] and 0.68 [0.64-0.72], respectively)., Conclusions: Using only information normally present in the files of a general practitioner, a predictive model was developed that performed similarly to one supplemented by information obtained from additional questions. The simplicity of PM1 makes it easy to implement in the current health care setting.