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Factors associated with self-reported back-pain prevalence: a population-based study
Journal of Chronic Diseases
|January 1, 1985
Summary
Demographic factors like gender, education, and marital status significantly influence back pain prevalence. Certain groups, such as older, unmarried women, report higher rates, while married men with higher education report lower rates.
Area of Science:
- Epidemiology
- Public Health
- Sociology
Background:
- Self-reported back pain is a widespread health concern.
- Understanding demographic associations is crucial for targeted interventions.
- Previous studies show varied correlations between demographics and back pain.
Purpose of the Study:
- To investigate demographic factors associated with self-reported back pain prevalence.
- To identify key predictors of back pain in a population-based study.
- To develop predictive models for back pain prevalence using census-type variables.
Main Methods:
- Cross-sectional population-based study design.
- Analysis of demographic variables including age, gender, occupation, income, education, and marital status.
- Application of multiway contingency tables and multivariate regression models.
Main Results:
- Gender, education, and marital status were strongly associated with back pain prevalence after controlling for other factors.
- Highest prevalence (44-46%) observed in non-married women aged 50-64.
- Lowest prevalence (9-11%) observed in married men with education beyond high school.
Conclusions:
- Demographic factors, particularly gender, education, and marital status, are significant predictors of back pain.
- Predictive models using simple demographic data can estimate back pain prevalence.
- Findings can inform public health strategies and resource allocation for back pain management.