| 2. |
- Long, Gráinne H., et al.
(författare)
-
Temporal shifts in cardiovascular risk factor distribution
- 2014
-
Ingår i: American Journal of Preventive Medicine. - : Elsevier. - 0749-3797 .- 1873-2607. ; 46:2, s. 112-121
-
Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: Complementary strategies to shift risk factor population distributions and target high-risk individuals are required to reduce the burden of type 2 diabetes and cardiovascular disease (CVD).PURPOSE: To examine secular changes in glucose and CVD risk factors over 20 years during an individual and population-based CVD prevention program in Västerbotten County, Sweden.METHODS: Population-based health promotion intervention was conducted and annual invitation for individuals turning 40, 50, and 60 years to attend a health assessment, including an oral glucose tolerance test, biochemical measures, and a questionnaire. Data were collected between 1991 and 2010, analyzed in 2012 and available for 120,929 individuals. Linear regression modeling examined age-adjusted differences in CVD risk factor means over time. Data were direct-age-standardized to compare disease prevalence.RESULTS: Between 1991-1995 and 2006-2010, mean age-adjusted cholesterol (men=-0.53, 95% CI=-0.55, -0.50 mmol/L; women=-0.48, 95% CI=-0.50, -0.45 mmol/L) and systolic blood pressure declined (men=-3.06, 95% CI=-3.43, -2.70 mm Hg; women=-5.27, 95% CI=-5.64, -4.90 mm Hg), with corresponding decreases in the age-standardized prevalence of hypertension and hyperlipidemia. Mean age-adjusted 2-hour plasma glucose (men=0.19, 95% CI=0.15, 0.23 mmol/L; women=0.08, 95% CI=0.04, 0.11 mmol/L) and BMI increased (men=1.12, 95% CI=1.04, 1.21; women=0.65, 95% CI=0.55, 0.75), with increases in the age-standardized prevalence of diabetes and obesity.CONCLUSIONS: These data demonstrate the potential of combined individual- and population-based approaches to CVD risk factor control and highlight the need for additional strategies addressing hyperglycemia and obesity.
|
|
| 3. |
- Rolandsson, Olov, et al.
(författare)
-
How to diagnose and classify diabetes in primary health care: Lessons learned from the Diabetes Register in Northern Sweden (DiabNorth)
- 2012
-
Ingår i: Scandinavian Journal of Primary Health Care. - London : Informa UK Limited. - 0281-3432 .- 1502-7724. ; 30:2, s. 81-87
-
Tidskriftsartikel (refereegranskat)abstract
- Objective. The objective was to create a diabetes register and to evaluate the validity of the clinical diabetes diagnosis and its classification. Design. The diabetes register was created by linkage of databases in primary and secondary care, the pharmaceutical database, and ongoing population-based health surveys in the county. Diagnosis and classification were validated by specialists in diabetology or general practitioners with special competence in diabetology. Analysis of autoantibodies associated with type 1 diabetes was used for classification. Setting. Primary and secondary health care in the county of V sterbotten, Sweden. Patients. Patients with diabetes (median age at diagnosis 56 years, inter quartile range 50-60 years) who had participated in the V sterbotten Intervention Programme (VIP) and accepted participation in a diabetes register. Results. Of all individuals with diabetes in VIP, 70% accepted to participate in the register. The register included 3256 (M/F 1894/1362) diabetes patients. The vast majority (95%) had data confirming the diabetes diagnoses according to WHO recommendations. Unspecified diabetes was the most common (54.6%) classification by the general practitioners. After assessment by specialists and analysis of autoantibodies the majority were classified as type 2 diabetes (76.8%). Type 1 diabetes was the second largest group (7.2%), including a sub-group of patients with latent autoimmune diabetes (4.8%). Conclusion. It was concluded that it is feasible to create a diabetes register based on information in medical records in general practice. However, special attention should be paid to the validity of the diabetes diagnosis and its classification.
|
|
