2. BY : dr. MEILAND TINA J. D. S SUPERVISOR: Dr. P. S. PANDIA, Sp.P P. D. Blanc, I. H. Yen, A. Chen, at al San Fransisco

3. ABSTRACT SOCIO-ECONOMIC STATUS HEALTH STATUS IN AIRWAY DISEASE INDIVIDUAL LEVEL AREA LEVEL

4. INTRODUCTION INDIVIDUAL LEVEL Lower-paying occupational Poorer indoor quality Gas cooking stove Environmental tobacco smoke exposure AREA LEVEL SOCIO-ECONOMIC STATUS Traffic density Pollution from industrial Social-community stressors Poor air quality

5. METHODS 416 INTERVIEW Geocoding Not possible (n=1) Insufficient income/ Occupational data (n=4) Discordance between Residence at interview & At spirometry (n=7) N=404

6. METHODS Regression analysis Associations among Individual-& area level SES Severity of asthma scores SF-12 PCS Asthma –specific QoL FEV1% predicted

7. RESULT

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13. DISCUSSION It was found that SES at the area level predicts general and asthma- specific health status in adult asthma and rhinitis. A group of such variables (factor 1) consistent with lower SES was associated with greater asthma severity, in contrast a group other variable (factor 2) consistent with suburban SES was associated with lower lung function. In the case of severity of asthma score, the relationship with the area-level SES didn’t remain statistically significant after taking into account the effect of individual-level SES

14. CONCLUSION Area-level socio-economic status is linked to some, but not all, of the studied health status measures after taking in to account individual-level socio-economic status.