| Literature DB >> 20339479 |
Margareta Norberg1, Stig Wall, Kurt Boman, Lars Weinehall.
Abstract
BACKGROUND ANDEntities:
Keywords: cardiovascular diseases; community intervention; health promotion; prevention; primary health care; research methodology
Year: 2010 PMID: 20339479 PMCID: PMC2844807 DOI: 10.3402/gha.v3i0.4643
Source DB: PubMed Journal: Glob Health Action ISSN: 1654-9880 Impact factor: 2.640
Fig. 1The green keyhole developed from a lattice-work heart pattern. The green keyhole designates a healthy food item.
Fig. 2Cumulative number of individuals who participated in the Västerbotten Intervention Programme and the number of health surveys performed during the programme from 1985 to 2007. The start in Norsjö 1985 and subsequent implementation in all municipalities in the county until 1991 is demonstrated.
Fig. 3Number of Västerbotten Intervention Programme health examinations of men and women aged 30, 40, 50 and 60 years between 1990 and 2007. Total number: 54,568 men and 58,635 women.
Number of Västerbotten Intervention Programme health examinations of participants during three time periods from 1990 to 2007, with distribution by sex and educational group
| 1990–1995 | 1996–2001 | 2002–2007 | |
|---|---|---|---|
| Sex | |||
| Men | 17,390 (47.3) | 17,371 (48.2) | 19,644 (49) |
| Women | 19,378 (52.7) | 18,679 (51.8) | 20,458 (51) |
| Education | |||
| Basic | 10,556 (29.3) | 9,200 (25.7) | 6,887 (17.3) |
| Mid-level | 17,530 (48.7) | 17,818 (49.7) | 21,068 (52.9) |
| High | 7,927 (22) | 8,813 (24.6) | 11,869 (29.8) |
Overview of Västerbotten Intervention Programme procedures. Recommendations are that nurses and doctors (general practitioners, GP) use motivational interviewing (MI) when counselling lifestyle changes aimed at risk factor reduction. Doctors are encouraged to follow current guidelines regarding pharmacological treatments
| Risk indicator | Variable | Decision level | Recommendation |
|---|---|---|---|
| Overweight/obesity | Body mass index waist | ≥ 30 kg/m2 | MI |
| Men >102 cm | |||
| Hypertension | Systolic, diastolic blood pressure, ongoing antihypertensive medication | ≥ 140/90 | Two follow-up visits to nurse then referral to GP if blood pressure remains elevated, MI |
| ≥ 130/80 for participants with diabetes | Referral to GP, MI | ||
| Dyslipidaemia | S-cholesterol | ≥ 7.5 mmol/L | Referral to GP, MI |
| Known CVD or diabetes and ≥ 3.5 mmol/L | Referral to GP, MI | ||
| >6.5 mmol/L | |||
| LDL-cholesterol | ≥ 6 mmol/L | Referral to GP, MI | |
| Triglycerides | ≥ 4 mmol/L | Referral to GP, MI | |
| Glucose regulation | Fasting plasma glucose (capillary) | Impaired fasting glucose (IFG): fasting plasma glucose 6.1–6.9 mmol/L | Follow up visit to nurse every second year, MI |
| 2 h plasma glucose | Impaired glucose tolerance (IGT): fasting plasma glucose <7.0 and 2 h plasma glucose 8.9–12.1 mmol/L | Follow up visit to nurse every second year, MI | |
| Diabetes: fasting plasma glucose ≥ 7.0 or/and 2 h plasma glucose ≥ 12.2 mmol/L | Referral to GP, MI | ||
| Metabolic syndrome | Referral to GP, MI | ||
| Alcohol | CAGE | >2 yes answers of four | MI |
| AUDIT | Hazardous/harmful alcohol consumption: men 8–15 points, women 6–13 points | MI | |
| Alcohol abuse/dependence: men ≥ 16 points, women ≥ 14 points | |||
| Tobacco | Number of cigarettes smoked or boxes of snus consumed | >0 | MI |
aAdditional samples of blood are sent to the Department of Clinical Chemistry at the nearest local hospital for more detailed analysis of blood lipids including serum cholesterol, LDL-cholesterol, HDL-cholesterol and serum triglycerides.
bMetabolic syndrome defined as: diabetes or IFG or IGT plus two or more of the following: (1) body mass index ≥ 30 kg/m2 or waist circumference >102 cm for men or >88 cm for women; (2) blood pressure ≥ 140/90 or current use of antihypertensive medication; (3) triglycerides >2 mmol/L or HDL-cholesterol ≤1.0 mmol/L or current use of medication for dyslipidaemia.
cCAGE-questionnaire (Cut down, Annoyance, Guilt, Eye opener) (25); AUDIT-questionnaire (The Alcohol Use Disorder Identification Test) (32).
Overview of Västerbotten Intervention Programme questionnaire
| Area | Variables |
|---|---|
| Socioeconomic conditions | Marital/civil status |
| Housing conditions | |
| Educational level | |
| Occupation | |
| Employment | |
| Sick leave/pension | |
| Ethnicity | |
| Health | Self-reported health |
| Family history of myocardial infarction, stroke, diabetes | |
| Personal history of diabetes, myocardial infarction | |
| Current pharmacologic treatment | |
| Health-related quality of life | Göteborg Quality of Life Instrument |
| SF-36 | |
| Social support and network, work stress | ISSI (Interview Schedule for Social Interaction) |
| Karasek demand/control model | |
| Physical activity | Commuting activity |
| Physical activity at work | |
| Leisure activities | |
| Physical exercise | |
| Tobacco | Smoking habits |
| Use of Swedish moist snuff (snus) | |
| Alcohol | CAGE |
| AUDIT | |
| Sleeping habits | Daytime sleepiness, snoring, history of sleep apnoeas |
| Eating habits | Breakfast habits and daily meals, portion size, vegetarianism, dietary supplements |
| Food frequency questionnaire | 66 items, 8 alternatives from never to 4 times or more every day |
Fig. 4The star-profile. Collection of data for blood pressure, body mass index (BMI), plasma glucose, blood lipids, level of physical activity, self-reported health, alcohol consumption (AUDIT) and tobacco habits are marked. Participants estimate their own dietary and eating habits. The example illustrates results at baseline and follow up.
Fig. 5Design of the Västerbotten Intervention Programme (VIP) and illustration of different study designs.
Fig. 6Potential links between the Västerbotten Intervention Programme database and local, regional and national registers.
Selection of theses defended at Umeå University using results that solely or to some degree are based on data from Västerbotten Intervention Programme, with or without analysis of stored blood samples from the Medical Biobank
| Author | Focus | Subject | Year | New series No. | Highlights |
|---|---|---|---|---|---|
| Rosén ( | Public health planning | Epidemiology and Public Health | 1987 | 188 | Assesses the potential for using epidemiological data from available registers as a tool for planning. Community diagnoses to analyse local data and discuss the appropriateness of different intervention strategies. The case of a community-based intervention for cardiovascular disease (CVD) prevention in Norsjö, Västerbotten, is presented. |
| Brännström ( | Social epidemiology | Epidemiology and Public Health | 1993 | 383 | Analyses participation processes and outcome patterns in a local health programme. Discusses considering age, gender and social differences in planning and evaluation of CVD prevention programmes. |
| Lindholm ( | Health economics | Epidemiology and Public Health | 1996 | 449 | Addresses the health economic evaluation of community-based interventions for CVD prevention with special emphasis on the Västerbotten Intervention Programme. |
| Weinehall ( | Community intervention and CVD prevention | Epidemiology and Public Health | 1997 | 531 | Evaluates VIP from a primary health care perspective. Individual attention provided by primary care promoted risk reduction and benefits to those with low education. |
| Lindahl ( | Insulin resistance in CVD and diabetes | Medicine | 1998 | 552 | Determines the prevalence of the insulin resistance syndrome and impaired glucose tolerance. Proinsulin identified as a risk marker of acute myocardial infarction. The CV risk profile was improved by a behavioural intervention programmme. |
| Söderberg ( | Leptin and CVD | Medicine | 1999 | 614 | Evaluates the role of leptin, in combination with obesity, in the link between insulin resistance syndrome (IRS) and CVD. |
| Rolandsson ( | Autoimmune diabetes | Family Medicine | 2002 | 778 | Investigates auto-antibodies against pancreatic cell antigens in the population. Body mass index as effective as glucose values in predicting diabetes. Obesity suggested to be an accelerator of type 1 diabetes |
| Johansson ( | Haemostatic factors predicting CVD | Medicine | 2002 | 815 | Evaluated haemostatic factors predicting stroke and myocardial infarction and concluded that, in addition to traditional cardiovascular risk factors, they carry predictive information on the risk of CVD. |
| Persson ( | Hypertension drug treatment | Family Medicine | 2003 | 837 | Diagnosed hypertension is not controlled according to guidelines. This, as well as diabetes or untreated hypertension, increases the risk of stroke. A clinical decision support system was constructed that could reduce drug costs and enhance the quality of hypertension drug treatment. |
| Emmelin ( | Self-rated health in CVD prevention | Epidemiology and Public Health | 2004 | 884 | Discusses the ethical platform of community interventions and suggests self-rated health as an unexplored indicator, potentially important for understanding the complexity of community interventions. |
| Karlsson ( | Metabolic disturbances and shift work | Occupational Medicine | 2004 | 891 | Metabolic risk factors were associated with shift work. Shift work was associated with increased risk for coronary heart disease (CHD), diabetes and ischemic stroke, but not with increased total mortality. |
| Hultdin ( | Homocysteine | Medical Chemistry | 2005 | 969 | Total plasma homocysteine levels and the main genetic determinant MTHFR are independent risk factors for first stroke but not ischemic stroke. Myocardial infarction does not increase homocysteine levels. |
| Thögersen ( | Risk factors of myocardial infarction | Medicine | 2005 | 975 | Specific biomarkers related to fibrinolysis and lipoprotein systems may improve the prediction of a first myocardial infarction. A high creatinine value was associated with increased risk of first myocardial infarction. |
| Wiklund ( | Genetic aspects of stroke | Medicine | 2005 | 999 | The genetic component in causation of stroke was investigated. PAI-1 genotype association with risk of future ischemic stroke. This interacted with the modifiable risk marker triglyceride level. |
| Berglin ( | Rheumatoid arthritis | Medicine | 2006 | 1001 | Anti-CCP antibodies and IgA-RF are predictors of future RA and radiological progression. Therapeutic response decreases radiological progression and bone-loss as well as lowers the level of anti-CCP. |
| van Guelpen ( | Folate in cancers and CVD | Medical Chemistry | 2006 | 1049 | A high folate status may reduce the risk of CVD. Increased folate and B12 levels might be associated with carcinogenesis. This may have implications for the debate concerning folate fortification of foods. |
| Nafziger ( | Obesity prevention | Epidemiology and Public Health | 2006 | 1050 | BMI increases similarly in Sweden and the USA. More adult Swedes maintained weight in recent years. The proportion of weight-gaining adults with identified CVD risk factors is smaller than those without. Obesity prevention should target those usually considered low risk. |
| Norberg ( | Early risk markers of type 2 diabetes | Family Medicine and Epidemiology | 2007 | 1077 | Common clinical markers are sufficient for identification of subjects at risk for type 2 diabetes (T2D). Psychosocial stress increases the risk for T2D in women. Snuff is an independent risk marker of obesity. |
| Krachler ( | Diet and CVD | Medicine | 2007 | 1108 | Describes changes in dietary habits and their relative importance as risk factors for diabetes and CVD. Potential goals for interventions are suggested. |
| Johansson ( | Prostate cancer epidemiology | Urology and Andrology | 2008 | 1165 | Genetic variations associated with risk of prostate cancer and with prostate-cancer-specific survival are evaluated. Further studies for confirmation are needed. |
| Wennberg ( | Physical activity and coronary heart disease | Family Medicine | 2009 | 1245 | Active commuting reduces, but the use of snuff did not increase the risk of myocardial infarction. Haemostatic and inflammatory markers may enhance the predictive ability of established risk factors. |
| Stocks ( | Metabolic factors and cancer | Urology and Andrology | 2009 | 1267 | Elevated blood glucose increases the risk of several cancers. Overweight and metabolic aberrations increase the risk of colorectal cancer in an additive way, but reduce the risk of incident prostate cancer, whereas overweight increases the risk of fatal prostate cancer. |