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SHR Neuro Krebs Kardio Lipid Stoffw Microb

Pieper, L; Wittchen, HU; Glaesmer, H; Klotsche, J; März, W; Stalla, G; Lehnert, H; Zeiher, AM; Silber, S; Koch, U; Böhler, S; Pittrow, D; Ruf, G.
Cardiovascular high-risk constellations in primary care. DETECT Study 2003
Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz. 2005; 48(12): 1374-1382. Doi: 10.1007/s00103-005-1164-9
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März Winfried
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Abstract:
DETECT is a nationwide epidemiological cross-sectional and longitudinal study program in a random probability sample of 3,795 primary care settings (response rate: 60.2%). Based on a target day total assessment of n=55,518 consecutive patients (RR 93.5%) in these settings all patients underwent standardized diagnostic assessment, using self-reporting, clinical interview and laboratory measures. DETECT aims at describing the point prevalence and comorbidity of coronary heart disease (CHD), hyperlipidaemia, arterial hypertension and diabetes mellitus and at identifying the behavioural, clinical, laboratory and psychological risk factors associated with these conditions. A random subset of patients (n=7,519) also completed an extensive standardized laboratory screening program and a 12-month follow-up investigation. Findings reveal a high prevalence of hypertension (36.3%), dyslipidaemia (29.1%), diabetes mellitus (14.6%) and CHD (12.4%) in primary care as well as their close association among each other. The study describes for the first time in greater detail the prevalence of specific disorders and the frequency of high-risk constellations in primary care and allows for the evaluation of various risk scores.
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Adolescent -
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Age Distribution -
Aged -
Aged, 80 and over -
Comorbidity -
Coronary Disease - diagnosis
Cross-Sectional Studies - diagnosis
Diabetes Mellitus - diagnosis
Female - diagnosis
Germany - epidemiology
Health Surveys - epidemiology
Humans - epidemiology
Hyperlipidemias - diagnosis
Hypertension - diagnosis
Longitudinal Studies - diagnosis
Male - diagnosis
Middle Aged - diagnosis
Prevalence - diagnosis
Primary Health Care - statistics and numerical data
Risk Assessment - methods
Risk Factors - methods
Sex Distribution - methods

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