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Related Concept Videos

Hazard Ratio01:12

Hazard Ratio

The hazard ratio (HR) is a widely used measure in clinical trials to compare the risk of events, such as death or disease recurrence, between two groups over time. It reflects the ratio of hazard rates—the instantaneous risk of the event occurring—between a treatment group and a control group. This measure provides valuable insights into the relative effectiveness of a treatment by assessing how the risk of an event differs between the two groups.
For example, in a clinical trial evaluating a...

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Social Threat-Safety Test Uncovers Psychosocial Stress-Related Phenotypes
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[DHS: The Dortmund health study].

K Berger1

  • 1Institut für Epidemiologie und Sozialmedizin, Universitätsklinikum Münster, Domagkstr. 3, 48149, Münster, Deutschland. bergerk@uni-muenster.de

Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz
|June 28, 2012
PubMed
Summary
This summary is machine-generated.

The Dortmund Health Study (DHS) assessed chronic conditions and their impact on daily life. Neighbourhood unemployment was linked to higher prevalence of cardiac risks and chronic diseases.

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Area of Science:

  • Epidemiology
  • Public Health
  • Social Medicine

Context:

  • Population-based study in Dortmund, Germany.
  • Recruited 2,291 participants from 2003-2004.
  • Follow-up conducted in 2006.

Purpose:

  • Assess prevalence and incidence of headache types and chronic conditions.
  • Analyze consequences of chronic conditions on daily activities.
  • Investigate the influence of social factors, specifically neighborhood unemployment.

Summary:

  • Describes the study design, recruitment, data assessment, and examinations.
  • Reports findings on the association between neighborhood unemployment and cardiac risk factors.
  • Reports findings on the association between neighborhood unemployment and chronic diseases.

Impact:

  • Highlights the impact of social determinants on health outcomes.
  • Provides data for public health interventions and policy development.
  • Contributes to understanding the relationship between socioeconomic status and chronic disease prevalence.