Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz
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Wittchen, HU; Glaesmer, H; März, W; Stalla, G; Lehnert, H; Zeiher, AM; Silber, S; Koch, U; Böhler, S; Pittrow, D; Ruf, G; DETECT-Study Group.
Cardiovascular risk factors in primary care: methods and baseline prevalence rates--the DETECT program.
Curr Med Res Opin. 2005; 21(4):619-630
Doi: 10.1185/030079905X38187
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- Co-Autor*innen der Med Uni Graz
- März Winfried
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- Abstract:
- OBJECTIVES: DETECT is an epidemiological study in primary care to examine (a) the prevalence rates and comorbidity of diabetes mellitus, hypertension, hyperlipidaemia and coronary heart disease (CHD), and associated conditions; (b) the frequency of behavioural and clinical risk factors for onset and progression; (c) the 12-month course and outcome; and (d) the met and unmet needs for these patients. METHODS: Three-stage, cross-sectional clinical-epidemiological study with a prospective-longitudinal component in a nationally representative sample of N = 3795 primary care settings [response rate (RR): 60.2%] and N = 55518 patients (RR: 95.5%). Patients completed a standardized assessment, including questionnaires for patients and the physician and diagnostic screening measures (i.e. blood pressure, heart rate, body mass index and waist circumference assessments). A subsample of patients (N = 7519) also completed a standardized laboratory screening program and was followed-up after 12 months. Data were weighted to adjust for non-response, regional distribution and attrition. RESULTS: (1) Doctors and patients sample can be regarded as representative for primary care settings in Germany. (2) The clinician-rated point prevalence of hypertension is highest (35.5%), followed by hyperlipidaemia (29.1%), diabetes (14.1%) and CHD (12.1%); prevalence rates of each disorder as well as their co-incidence rates increase markedly with age. (3) The vast majority (78%) of all patients revealed multiple (3+) behavioural and clinical risk factors. CONCLUSION: The findings of DETECT underline the considerable burden for primary care doctors in managing a highly morbid patient population, with predominantly complex risk factor constellations, in routine care. Our data provide, in unprecedented detail, a basis for calculating age-, gender- and risk-group-adjusted risk-factor profiles in routine care.
- Find related publications in this database (using NLM MeSH Indexing)
- Adolescent -
- Adult -
- Aged -
- Body Mass Index -
- Cardiovascular Diseases - complications
- Coronary Artery Disease - epidemiology
- Cross-Sectional Studies - epidemiology
- Diabetes Mellitus - epidemiology
- Epidemiologic Studies - epidemiology
- Female - epidemiology
- Germany - epidemiology
- Humans - epidemiology
- Hyperlipidemias - epidemiology
- Hypertension - epidemiology
- Longitudinal Studies - epidemiology
- Male - epidemiology
- Middle Aged - epidemiology
- Prevalence - epidemiology
- Primary Health Care - statistics and numerical data
- Risk Factors - statistics and numerical data
- Find related publications in this database (Keywords)
- cardiovascular disease
- coronary heart disease
- diabetes
- hypertension
- lipid disorders
- prevalence
- risk factors