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1.
Diabet Med ; 29(8): e223-31, 2012 Aug.
Article in English | MEDLINE | ID: mdl-22416789

ABSTRACT

AIMS: To determine the effectiveness of a 2.5-year lifestyle intervention for Type 2 diabetes prevention in Dutch general practice compared with usual care. METHODS: A randomized controlled trial of 925 individuals at high risk for Type 2 diabetes (FINDRISC-score ≥ 13) in 14 general practices in the Netherlands. Intervention consisted of lifestyle counselling from the nurse practitioner and the general practitioner. Usual care consisted of oral and written information at the start of the study. Study groups were compared over 2.5 years regarding changes in clinical and lifestyle measures. RESULTS: Both groups showed modest changes in body weight, glucose concentrations, physical activity and dietary intake [weight: intervention group, -0.8 (5.1) kg, usual care group, -0.4 (4.7) kg, (P=0.69); fasting plasma glucose: intervention group, -0.17 (0.4) mmol/l, usual care group, -0.10 (0.5) mmol/l, (P=0.10)]. Differences between groups were significant only for total physical activity and fibre intake. In the intervention group, self-efficacy was significantly higher in individuals successful at losing weight compared with unsuccessful individuals. No significant differences in participant weight loss were found between general practitioners and nurse practitioners with different levels of motivation or self-efficacy. CONCLUSIONS: Diabetes risk factors could significantly be reduced by lifestyle counselling in Dutch primary care. However, intervention effects above the effects attributable to usual care were modest. Higher participant self-efficacy seemed to facilitate weight loss. Lack of motivation or self-efficacy of professionals did not negatively influence participant guidance.


Subject(s)
Diabetes Mellitus, Type 2/prevention & control , Life Style , Adult , Aged , Attitude to Health , Blood Glucose/metabolism , Counseling/methods , Diabetes Mellitus, Type 2/blood , Energy Intake , General Practice , Health Promotion/methods , Humans , Middle Aged , Netherlands , Physician-Patient Relations , Practice Patterns, Nurses' , Surveys and Questionnaires , Treatment Outcome , Weight Loss/physiology
2.
Int J Obes (Lond) ; 34(6): 1060-9, 2010 Jun.
Article in English | MEDLINE | ID: mdl-20125097

ABSTRACT

BACKGROUND: Obesity and physical inactivity are associated with several diseases such as diabetes, cardiovascular diseases, musculoskeletal complaints, osteoporosis, certain types of cancer and depression. However, few data are available on the specific types of medication associated with obesity and physical inactivity. OBJECTIVE: The aim of this study was to determine the independent association of body mass index (BMI) and physical inactivity with use of specific classes of prescription drugs, and the interaction between BMI and physical inactivity. METHODS: The Doetinchem Cohort Study is a population-based longitudinal study. We analyzed cross-sectional data of 1703 men and 1841 women, examined between 1998 and 2002, for whom drug-dispending data were available from the PHARMO database. Drugs were coded according to the WHO Anatomical Therapeutic Chemical (ATC) classification system. Body weight was measured during the physical examination. Physical activity was assessed using an extensive questionnaire. Persons were defined as a user of a certain drug class if they filed at least one prescription in the year around (+/-6 months) the examination. RESULTS: Compared with normal weight persons (BMI 18.5-25 kg m(-2)), obese persons (BMI>30 kg m(-2)) had a higher use of prescription drugs of several drug classes, especially cardiovascular drugs (OR (95% CI): 3.83 (2.61-5.64) in men and 2.80 (2.03-3.86) in women) and diabetes drugs (OR (95% CI): 5.72 (2.32-14.14) in men and 3.92 (1.80-8.54) in women). In women, physical inactivity was also associated with higher use of certain drug classes, such as drugs for blood and blood-forming organs (OR (95% CI): 2.11 (1.22-3.65)) and musculoskeletal drugs (OR (95% CI): 2.07 (1.45-2.97)), whereas in men this was not the case. We found no interaction between BMI and physical inactivity with respect to use of prescription drugs. CONCLUSION: In both men and women, obesity was associated with a higher use of several types of prescription drugs, whereas physical inactivity was only associated with a higher use of certain drug classes in women.


Subject(s)
Body Mass Index , Obesity/complications , Prescription Drugs/therapeutic use , Sedentary Behavior , Smoking , Body Composition/physiology , Female , Humans , Longitudinal Studies , Male , Middle Aged , Musculoskeletal Diseases/drug therapy , Obesity/drug therapy , Prescription Drugs/adverse effects , Risk Factors , Sex Factors , Surveys and Questionnaires
3.
Fam Pract ; 27(3): 312-9, 2010 Jun.
Article in English | MEDLINE | ID: mdl-20089573

ABSTRACT

BACKGROUND: Several trials have shown the potential of lifestyle intervention programmes for prevention of type 2 diabetes. The effectiveness of implementation of these programmes into daily practice is now being studied in several countries. The 'Active Prevention in High Risk individuals of Diabetes Type 2 in Eindhoven' (APHRODITE) study investigates whether type 2 diabetes prevention by lifestyle intervention is effective in Dutch primary care. In this article we describe the process of recruiting the study participants. OBJECTIVE: To assess the reach of an active strategy to recruit participants for a programme on type 2 diabetes prevention by lifestyle intervention in Dutch primary care. METHODS: A diabetes risk questionnaire was sent to general practice patients aged 40-70 years. Individuals with a risk score above threshold were invited for an admission interview with the GP and an oral glucose tolerance test (OGTT). All individuals with non-diabetic glucose levels were asked to participate in the intervention study. RESULTS: In total, 8752 (54.6%) of the individuals returned the questionnaire in time. Of all high-risk individuals (n = 1533), 73.1% contacted their practice to schedule a consultation with the GP. Response rates varied significantly among practices. CONCLUSIONS: Using invitational letters, a substantial amount of individuals could be motivated to participate in a programme on type 2 diabetes prevention by lifestyle intervention in Dutch primary care. Further research is needed on what kind of strategy would be most effective and efficient to screen for individuals at high risk for type 2 diabetes in primary care.


Subject(s)
Diabetes Mellitus, Type 2/prevention & control , Patient Selection , Risk Reduction Behavior , Adult , Aged , Female , Humans , Male , Mass Screening , Middle Aged , Netherlands , Primary Health Care , Program Development , Surveys and Questionnaires
4.
Obes Rev ; 11(1): 51-61, 2010 Jan.
Article in English | MEDLINE | ID: mdl-19951262

ABSTRACT

Lifestyle interventions in a healthcare setting are effective for weight loss, but it is unclear whether more expensive interventions result in more weight loss. Our objective was to explore the relationship between intervention costs and effectiveness in a systematic review of randomized trials. Intervention studies were selected from 14 reviews and from a systematic MEDLINE-search. Studies had to contain a dietary and a physical activity component and report data on measured weight loss in healthy Caucasian overweight adults. Intervention costs were calculated in a standardized way. The association between costs and percentage weight loss after 1 year was assessed using regression analysis. Nineteen original studies describing 31 interventions were selected. The relationship between weight loss and intervention costs was best described by an asymptotic regression model, which explained 47% of the variance in weight loss. A clinically relevant weight loss of 5% was already observed in interventions of approximately euro110. Results were similar in an intention-to-treat analysis. In conclusion, lifestyle interventions in health care for overweight adults are relatively cheap and higher intervention costs are associated with more weight loss, although the effect of costs on weight loss levels off with growing costs.


Subject(s)
Behavior Therapy , Life Style , Overweight/economics , Overweight/therapy , Weight Loss , Cost-Benefit Analysis , Diet Therapy/economics , Exercise/physiology , Humans , Treatment Outcome
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