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Recall bias and major depression lifetime prevalence
1Dept. of Community Health Sciences, The University of Calgary, 3330 Hospital Drive NW, Calgary, AB, T2N 4N1, Canada. patten@ucalgary.ca,
Social Psychiatry and Psychiatric Epidemiology
|June 12, 2003
Summary
Recall failure significantly impacts major depression prevalence estimates. Even low rates can explain flat or declining lifetime prevalence across age groups, suggesting current estimates may be too low.
Area of Science:
- Psychiatry
- Epidemiology
- Biostatistics
Background:
- Epidemiological studies show stable lifetime major depression prevalence across age groups, contradicting expected accumulation.
- Potential explanations include cohort effects, recall bias, and differential mortality.
- This study investigates the role of recall failure in major depression prevalence estimates.
Purpose of the Study:
- To describe the relationship between recall failure and bias in age-specific lifetime major depression prevalence.
- To evaluate how recall failure and differential mortality affect prevalence estimates.
Main Methods:
- Utilized a framework by Hill et al. relating age-specific prevalence to incidence and mortality.
- Incorporated an additional term for recall failure into the model.
- Conducted a literature review to explore the impact of plausible differential mortality rates.
Main Results:
- Low recall failure rates (2-4% annually) can explain flat or declining age-specific lifetime prevalence.
- Higher recall failure rates are needed to explain patterns in adolescents.
- Differential mortality may also contribute to observed patterns in the elderly.
Conclusions:
- Plausible recall failure rates, combined with incidence and mortality data, explain stable or declining lifetime major depression prevalence.
- Existing lifetime prevalence estimates for major depression may be underestimated.
- Inferring cohort effects from cross-sectional data requires instruments minimizing recall failure.