{[ promptMessage ]}

Bookmark it

{[ promptMessage ]}

unit 3 pt 1 - Basic assumptions of epidemiology Descriptive...

Info icon This preview shows pages 1–3. Sign up to view the full content.

View Full Document Right Arrow Icon
Descriptive Epidemiology Part 1 Dr. H. Stockwell Basic assumptions of epidemiology Human disease does not occur at random Causal and preventive factors can be identified through systematic investigation of different populations or subgroups of individuals in a population in different places or times Epidemiology Divided in to two major components: Descriptive Epidemiology Analytic Epidemiology (hypothesis testing) B th i t t t d t di f Both important to our understanding of disease Cannot ask relevant questions about disease etiology without a firm understanding of the d i ti id i l descriptive epidemiology Descriptive Epidemiology Designed to describe the existing distribution of variables without regard to causal associations measure prevalence and incidence of disease/health Generate hypotheses for analytic studies CANNOT TEST HYPOTHESES USING DESCRIPTIVE STUDIES Descriptive Epidemiology Time WHEN WHO WHERE Distribution of disease: Descriptive Epidemiology Person : age, sex, race/ethnicity, SES, occupation, lifestyle Place : neighborhood, state, country, environment Time : date of exposure date of : date of exposure, date of diagnosis etc
Image of page 1

Info icon This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document Right Arrow Icon
Person Who gets disease? Characteristics of person -- ex: gender and age Death rates (DR) per 100,000 population from coronary disease in the U.S.,1981, by age and gender Age White men White women DR men/women 25-34 9.4 4.2 2.2 35-44 60.6 16.2 3.7 45-54 265.6 71.2 3.7 55 64 708 7 243 7 2 9 55-64 708.7 243.7 2.9 65-74 1669.9 769.4 2.2 75-84 3751.5 2359.0 1.6 75 84 85+ 8596.0 7215.1 1.2 Race and Ethnicity in Epidemiologic Research Often used variables in research – frequently used to assess the association of these variables on disease outcomes Biologically race is ill defined, poorly understood and may be of questionable validity Race has been described as an arbitrary system of visual Race has been described as an arbitrary system of visual classification (Fullilove, MT, 1998) DNA evidence indicates genetic diversity is a continuum with no clear breaks that delineate racial groups Since 2000 census individuals can self identify with more than one racial group From Gordis L 3 rd ed. NO AUDIO ON THIS SLIDE. CLICK NEXT TO CONTINUE. Race and Ethnicity in Epidemiologic Research Alternative approach is to use ethnicity Eth i it i l i l Ethnicity is complex – may involve shared origins, culture, language What is the relationship to disease – does it increase our understanding of does it increase our understanding of disease process, risk etc?
Image of page 2
Image of page 3
This is the end of the preview. Sign up to access the rest of the document.

{[ snackBarMessage ]}

What students are saying

  • Left Quote Icon

    As a current student on this bumpy collegiate pathway, I stumbled upon Course Hero, where I can find study resources for nearly all my courses, get online help from tutors 24/7, and even share my old projects, papers, and lecture notes with other students.

    Student Picture

    Kiran Temple University Fox School of Business ‘17, Course Hero Intern

  • Left Quote Icon

    I cannot even describe how much Course Hero helped me this summer. It’s truly become something I can always rely on and help me. In the end, I was not only able to survive summer classes, but I was able to thrive thanks to Course Hero.

    Student Picture

    Dana University of Pennsylvania ‘17, Course Hero Intern

  • Left Quote Icon

    The ability to access any university’s resources through Course Hero proved invaluable in my case. I was behind on Tulane coursework and actually used UCLA’s materials to help me move forward and get everything together on time.

    Student Picture

    Jill Tulane University ‘16, Course Hero Intern