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[A structural equation model for the WHO health survey data].
Su-fang Liu1, Yue-qing Lin, Ze-hui He
1Department of Medical Statistics, School of Public Health, Sun Yat-Sen University, Guangzhou 510080, China.
Summary
Self-reported health is a strong predictor of actual health, explaining 66% of the variance. Social demographics and risk factors also influence health perceptions and outcomes in the World Health Survey.
Area of Science:
- Public Health
- Health Services Research
- Epidemiology
Context:
- Utilizes 2002 World Health Survey data from nine countries.
- Employs structural equation modeling to analyze complex health relationships.
- Addresses "cut-point bias" using anchoring vignette data.
Purpose:
- To explore latent relationships between self-reported health, actual health, demographics, and risk factors.
- To analyze the influence of surveillance indicators on self-reported health.
- To determine the extent to which self-reported health explains actual health levels.
Summary:
- Actual health is significantly predicted by self-reported health (0.80), social demographics (-0.04), and risk factors (-0.08).
- Self-reported health is influenced by social demographics (-0.70) and risk factors (0.10).
- Mobility, pain, sleep, cognition, feelings, self-care, vision, and interpersonal activities are key dimensions of self-reported health impacting actual health.
Impact:
- Self-reported health is a crucial component in population health evaluation.
- Findings highlight the interplay between individual perceptions, social factors, and objective health status.
- Provides insights for refining health survey instruments and public health interventions.
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