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Epidemiology of Asthma. Xiang Wang, Robert Sljivic , Alan Wong, Kexin Li . PHM142 Fall 2013 Coordinator: Dr. Jeffrey Henderson Instructor: Dr. David Hampson. Basic Epidemiology. Study of the distribution and determinants of human morbidity and mortality. ( Merril 2010)
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Epidemiology of Asthma Xiang Wang, Robert Sljivic, Alan Wong, Kexin Li PHM142 Fall 2013 Coordinator: Dr. Jeffrey Henderson Instructor: Dr. David Hampson
Basic Epidemiology • Study of the distribution and determinants of human morbidity and mortality. (Merril 2010) • Study of who gets sick and why they get sick. • Distribution in epidemiological terms is usually measured based on two simple concepts: • Prevalence – Prevalence refers to the amount of individuals in the population with a confirmed diagnosis of the disease. • Incidence – Incidence refers to the number of newly diagnosed individual with the condition during a given time period. • Determinants are described in terms of risk factors and possibly effect modifiers.
Distribution of Asthma - Prevalence • Prevalence – Prevalence refers to the amount of individuals in the population with a confirmed diagnosis of the disease. • Canadian Context • Baseline Levels • Trends • Strata of Populations
Canadian Asthma Prevalence 2007-2012, by Gender and Age Prevalence Per 100,000 Year 2007 2011 2012 2008 2009 2010
Canadian Asthma Prevalence 2012 by Gender and Province Prevalence Per 100,000 Male Female Province
Distribution of Asthma- Incidence • Incidence – Incidence refers to the number of newly diagnosed individual with the condition during a given time period. • Uses. • Baseline Levels • Trends • Meaning?
Determinants • What “causes” asthma • Risk Factors Effect Modifiers • Measures of Association • Relative Risk • Odds Ratio • Confidence Level • Epidemiological Framework- The Casual Pathway
Genetics • Recent studies have identified 19 particular regions within 100 genes of interest • Examples: DPP10,GRPA,SPINK5 • These genes are associated with response to environmental threats such as allergens in the respiratory tract.
Genetics - Interleukins • Over-expression • Plays a role in the initiation of the inflammatory response • IL-13 regulates mucus level and hyperresponsiveness • IL-13 C1112T: 1.389 (1.103-1.749) • IL-4 regulates immunoglobulin E levels • IL-4 C589T: 1.26 (1.12-1.42)
Regular Smoking • Smokers: 1.33 (1.00-1.77) • Ex Smokers: 1.49 (1.12-1.97) • Risk increases as number of cigarettes increases per day
Second Hand Smoke • Environmental Tobacco Smoke (ETS) • Finland study evaluated effect of ETS on health in workplace settings and at home. • Workplace: OR 2.16 (1.26-3.72) • Home: OR 4.77 (1.29-17.7)
Second Hand Smoke • In children, second hand smoke has a greater impact on asthma development. • Compared the number of smokers at home • 1 smoker: 1.21 (1.07-1.37) • 2 smokers: 1.54 (1.31-1.81) • >3 smokers: 1.52 (1.04-2.23)
Environmental Risk Factors • Systematic Review/Meta Analysis (Anderson et al 2013) • Outdoor Air Pollutants (NO2, PM2.5, PM10, Formaldehydes) • Aggregate Risk Ratio • NO2 - 1.07 95% CI (1.02-1.13) • PM2.5 & PM10 - 1.16 95%CI (0.98-1.37) • Formaldehydes - 1.17 95%CI (1.01 – 1.36) • Indoor Air Pollutants • Water Damage -1.12 95%CI(0.98–1.27) • Mold Odour - 1.56 95%CI (1.25–1.95) • Visible Mold - 1.27 95%CI (1.14–1.41) • Dampness - 1.33 95%CI (1.12–1.56)
Casual Pathway Genetic Predisposition Co-morbidities Exposure to Risk Factors Environmental Life style/Habits Various Air Pollutants (PM2.5, PM10, Residential Damping, aeroallergens) Pathophysiology Process Occurs/First set on symptoms Symptoms persist/ Asthma is Diagnosed
Summary Slide • Prevalence of Asthma: National( 2012 is 8.1%.: 6.8% for males and 9.4% for females) -Rates are stable within age strata of the population over the past 5 years. -Provincially, Saskatchewan Females and Yukon Males have the highest. • Incidence of Asthma: national data did not exhibit much change. -Provincially in Ontario, 14% increase from 1996-2000. Mainly due to 30% increase in children 14 and under. • Risk Factors for developing asthma -Genetics (Ex. Interleukin Over-expression) -Second Hand Smoke -Outdoor Pollutants (NO2, CO, PM) -Indoor Pollutants (Mold and Dampness)
References • Yang, H., Dong, H., Dai, Y. & Zheng Y. (2011) Association of interleukin-13 C-1112T and G+2044A polymorphisms with asthma: a meta-analysis. Respirology. 16(7) ,1127-1135. • Anderson HR, Favarato G, Atkinson RW. Long-term exposure to outdoor air pollution and the prevalence of asthma: metaanalysis of multi-community prevalence studies. Air Qual. Atmos. Health 2011 • 2. Pilpari, R., Jaakkola, J.J., Jaakkola, N. & Jaakkola M.S. (2004). Smoking and asthma in adults. European Respirology, 24 (5), 734-739. • 3. Pilpari, R., Jaakkola, J.J., Jaakkola, N. & Jaakkola M.S. (2003). Environmental tobacco smoke and adult-onset asthma: a population-based incident case-control study. American Public Health. 93 (12), 2055-2060. • 4. Wills-Karp, M. & Finkelman, F.D. (2008). Untangling the complex web of IL-4- and IL-13-mediated signaling pathways. Science Signaling, 1 (51), 1-4. • 5. Lewis, C.A., Antoniak, M., Venn, A.J., Davies, L., Goodwin, A., Salfield, N., Britton, J. & Fogarty, A.W. (2005). Secondhandsmoke, dietary fruit intake, road traffic exposures, and the prevalence of asthma: a cross-sectional study in young children. American Journal Epidemiology, 161 (5), 406-411. • 6. Nie, W., Zhu, Z., Pan, X. & Xiu, Q. (2013). The interleukin-4 -589C/T polymorphism and the risk of asthma: a meta-analysis including 7,345 cases and 7,819 controls. Gene, 520 (1), 22-29. • 7. Gershon, A. S., Guan, J., Wang, C., & To, T. (2010). Trends in asthma prevalence and incidence in Ontario, Canada, 1996-2005: A population study. American Journal of Epidemiology, 172(6), 728-736. • 8. Statistics Canada. Table 105-0501 - Health indicator profile, annual estimates, by age group and sex, Canada, provinces, territories, health regions (2012 boundaries) and peer groups, occasional