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Determination of risk factor associations with questionnaire outcomes: a methods case study
K Bandeen-Roche1, G H Huang, B Munoz
1Department of Biostatistics, School of Hygiene and Public Health, The Johns Hopkins University, Baltimore, MD 21205, USA.
American Journal of Epidemiology
|December 10, 1999
Summary
This study introduces a three-method strategy to analyze health status from questionnaires, improving understanding of risk factors and health outcomes. The approach enhances specificity and identifies differential item relationships for better biomedical study insights.
Area of Science:
- Biomedical research
- Health outcomes analysis
- Statistical modeling
Background:
- Health status is often inferred from questionnaire responses in biomedical studies.
- Analyzing these responses faces challenges like multiplicity and measurement error.
- Existing methods may not fully capture complex relationships between health indicators and risk factors.
Purpose of the Study:
- To propose and validate a three-method strategy for analyzing questionnaire-based health status.
- To address challenges of multiplicity and measurement error in health data.
- To enhance the understanding of associations between risk factors and health outcomes.
Main Methods:
- Method 1: Scoring item responses and regressing scores on predictors.
- Method 2: Regressing individual item responses on predictors, accounting for within-person associations.
- Method 3: Jointly analyzing item responses using a latent variable model with developed procedures.
Main Results:
- Methods 2 and 3 provide greater specificity than Method 1.
- The strategy reveals patterns and severities of health impairments.
- Isolated items show differential relationships with risk factors.
Conclusions:
- The proposed three-method strategy significantly improves the specification of how risk factors influence questionnaire-based health outcomes.
- This integrated approach offers a more comprehensive analysis than individual methods.
- The strategy enhances the interpretation of health status in biomedical research.