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Summary
This study introduces a structural equation model to understand self-reported physical health, examining chronic illness, sick days, and daily living activities. The model effectively delineates health aspects and is validated across multiple data samples.
Area of Science:
- Gerontology
- Health Sciences
- Sociology
Background:
- Assessing self-reported physical health is complex, involving multiple interconnected factors.
- Previous models may not fully capture the multidimensional nature of health perceptions.
Purpose of the Study:
- To propose and evaluate a multiple indicator structural equation model for self-reported physical health.
- To delineate the structural linkages among key health indicators.
Main Methods:
- Employed a multiple indicator structural equation model.
- Utilized data from the 1968 National Senior Citizens Survey.
- Validated the model across four randomly divided subsamples.
Main Results:
- The proposed model successfully delineated various aspects of self-reported physical health.
- Structural linkages among chronic illness, sick days, self-maintenance, daily living activities, and subjective health ratings were identified.
- Model predictions were consistently supported across all subsamples.
Conclusions:
- The developed structural equation model provides a robust framework for understanding self-reported physical health.
- The findings highlight the interconnectedness of various health indicators in older adults.
- The model's replicability underscores its generalizability.