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UW-Madison SOC 674 - Measures of mortality

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Lung CancerMeasures of mortality 1) CSDR 2) ASDR 3) Standardized CSDR 4) IMR – infant mortality rateCause-specific rates 1) 1,000*PDCSDRii= 2) 1,000*PDACSDRxixix= 3) ∑==X1xxixi1,000*PDCSDR, ∑∑===I1iX1xxix1,000*PDCDRMeasures of early life mortality Conception birth 1 month 1 year fetal death stillbirth NEONATAL POST NEONATAL PERINATAL t1t-0tBDIMR =, t28t-0tBDNMR =, t1t-29tBDPNMR =, ttPNMRNMRIMRt+=tft7t-0fttBDDDPMR++= (perinatal mortality rate)Endogenous vs. exogenous factors 1) Relative importance at different stages of epidemiologic transition 2) Implications for calculation of IMR 3) Difficulty of separating the twosource: mmwrMeasures of morbidity - Prevalence vs. Incidence 1) Prevalence rate=(Y÷P)*100,000 a. Y=# possessing characteristic of interest, new and existing, P=mid-year population b. Point prevalence vs. period prevalence 2) Incidence rate= (Z÷P)*100,000 a. Z=# experiencing event of interest in time period 3) May be very different for long-lived events/states a. Prevalence≈Incidence rate*average duration 4) May be very different for transient states when period of interest is long (e.g., lifetime)Source: Wilson (2006)Relative risk, risk ratios 0jk0j1jk1jkpzpzRR====÷= where k is some event/outcome of interest (e.g., death, diabetes, etc.), and j is some risk factor (e.g., smoker, divorced, worked in asbestos plant, etc.) Odds ratio: kzk0j0jk0jk1j1j1jkzpzzpRR======−÷−=Example Lung Cancer Person-years of observationSmoker Yes NoYes 640 3360 55,200No 200 9800 150,000Basics of epidemiology 1) Disease does not occur randomly 2) Focus not on individual cases/patients but on patterns of disease a. Geographic (e.g., Snow) b. Time c. Intergroup variation – focus on “risk factors” i. Behavioral ii. SocieconomicExample of geographic variationEducational Differentials in Mortality in the US0.0100.0200.0300.0400.0500.0600.0700.0LT 12 years 12 years GT 12 yearsCDR (per 100,000)All Causes Chronic Injuries


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UW-Madison SOC 674 - Measures of mortality

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