Measuring Health Inequalities in Smoking Trends
Author Information
Author(s): Khang Young-Ho, Yun Sung-Cheol, Lynch John W
Primary Institution: University of Ulsan College of Medicine
Hypothesis
This study aims to compare time trends of odds ratio (OR) and prevalence ratio (PR) for examining time trends in socioeconomic inequality in smoking.
Conclusion
Different methods of measuring trends in socioeconomic health inequalities may lead to different conclusions about whether relative inequalities are increasing or decreasing.
Supporting Evidence
- Odds ratios may not accurately reflect trends in health inequalities when the outcome prevalence is high.
- Prevalence ratios showed significant trends in socioeconomic inequalities in smoking among men.
- The study highlights discrepancies in conclusions drawn from different statistical measures.
Takeaway
This study shows that how we measure health inequalities can change the story; using one method might make it look like health inequalities are getting better or worse than they really are.
Methodology
Data from three Social Statistics Surveys of Korea (1999, 2003, 2006) were analyzed, focusing on smoking rates among 147,805 subjects aged 25-64, using odds ratios and prevalence ratios.
Potential Biases
Potential bias in using OR for high prevalence outcomes may misrepresent health inequalities.
Limitations
The study may not account for all confounding factors affecting smoking rates.
Participant Demographics
147,805 subjects aged 25-64, including 71,793 men and 76,017 women.
Statistical Information
P-Value
< 0.0001
Confidence Interval
95% CI
Statistical Significance
p<0.0001
Digital Object Identifier (DOI)
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