Health and Societ2

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    Health and Society

    Socioeconomic status is one of the fundamental driversof population health.

    socioeconomic gradient in health totanic case

    Class Saved Total

    First 203 325

    Second 118 285

    Third 178 706

    Crew 212 885

    This differential patterning of survival is what we call thesocioeconomic gradient in

    health.

    Why was there a social class gradient in

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    mortality on the Titanic?

    Confounding by age and sex of passengers in different sections of the boat.

    Age, sex

    Class Survival

    Mortality on board Titanic, by gender

    and class

    Class Men Women/Children

    First 67.4% 2.7%

    Second 91.7% 11.2%

    Third 83.8% 57.8%

    Why was there a social class gradient in mortality on the Titanic?

    1. Confounding by age and sex of passengers in different sections of

    the boat.

    2. Upper class people were physically more fit, or quicker to respond

    to instructions of the crew.

    3. Discrimination against 3rd class passengers / Preferential treatment

    of 1st class passengers.

    4. Structural differences in access to life-saving resources (lifeboats).

    1. However, probably the most compelling and parsimonious reason for the

    2. socioeconomic gradient is that they were structural differences in access

    3. to lifesaving technology--

    4. in this case, access to the lifeboats on board the Titanic--

    5. according to whether you were first, second, or third class.

    6. We can see this from a diagram of the cross section of the boat at the

    7. moment it struck the iceberg.

    Evidence of SES gradients in health in contemporary society

    Income

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    Educational attainment

    Occupation

    In studying the association between education and health, a pre-existing

    health condition that affects ones educational attainment is an example of

    reverse causation (i.e., health predicted SES attainment).

    An SES gradient in health has been observed for outcomes such as mortality

    and chronic disease mortality by measures such as income, education, and

    occupation.

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    Two types of threat to causal inference

    Reverse Causation

    Bad health compromises educational attainment, not the other way round

    It is often asserted that education is less susceptible to reverse causation

    (compared to income & occupation)

    Most people have completed their schooling by the time they develop chronic

    disease

    If you get sick, you cant lose education (in the way that you can lose income or

    your job)

    But is that strictly accurate?

    How we tease eduation and health

    A birth cohort is basically a kind of longitudinal followup study in which we

    take a large number of babies who were just born, and then follow themup over a

    lifetime to see which came first, theillnesses or their schooling.

    In short, chronic conditions during childhood e.g. diabetes, ADHD, or mental

    health problems result in children missing school

    Reverse causation is real!

    Though not every instance of SES gradients reflects this bias(tendency)

    health doesn't mean that all of that was because lack of schooling led to bad

    health.

    Some part of that correlation is likely to be driven by the reverse--that is, bad

    health leads to truncated education.

    Brians health status influenced his choice of occupation (and potentially his

    income); therefore, this scenario best represents reverse causation(i.e., health

    influenced SES attainment).

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    Confounding1(omitted variable bias)

    Association between SES & health is spurious, and reflects the influence of omitted

    third variables.

    if you want to check whether that relationship is confounded, then you would want

    to repeat the analysis by breaking up the sample into smokers versus nonsmokers.

    This is the principle of stratification.

    among smokers, there's no additional risk of lung cancer from carrying matches in

    your pocket.

    If you're a non-smoker, it does not increase your risk of lung cancer by carrying

    matches around in your pocket.

    ergo, cigarette smoking is a confounder of the association between carrying

    matches and getting lung cancer.

    1En una investigacin cientfica, una variable de confusino factor de confusines

    unavariableo factor que distorsiona la medida de la asociacin entre otras dos variables.

    http://es.wikipedia.org/wiki/Variable_(matem%C3%A1ticas)http://es.wikipedia.org/wiki/Variable_(matem%C3%A1ticas)http://es.wikipedia.org/wiki/Variable_(matem%C3%A1ticas)http://es.wikipedia.org/wiki/Variable_(matem%C3%A1ticas)
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    As I've showed it here, it's cigarette smoking which is the cause of carrying

    matches, and moreover, there is no relationship between carrying matches and

    getting lung cancer. That's the true nature of the association between the three

    variables, which I have shown in this diagram.

    An investigator is interested in studying differential cancer incidence

    rates between subpopulations based on certain characteristics (i.e.,

    race/ethnicity, insurance status, gender) in the United States. However,

    she is concerned that socioeconomic status (SES) might confound the

    relationship between the exposure (subpopulation characteristic) and

    the outcome(incidence of cancer), where X Y. In which of the

    following scenarios, should she be concerned about potential

    confounding by SES?

    A confounder is a variable that precedes the exposure and outcome of

    interest, AND is independently associated with the exposure and

    outcome of interest. SES does not cause gender or race. However,

    gender and/or race can affect SES. Therefore

    SES would not be a confounder in those situations. However, SES can

    precede and affect insurance status. Therefore, SES may be a

    confounder in this scenario.

    Maria is a toddler who demonstrates high ability to delay gratification.

    As an elementary school student, she performs well academically and

    exhibits self-regulation over her health behaviors, including consuming

    less fast food compared to her classmates. She is enrolled in a

    longitudinal study examining the effects of education on health. In this

    study, Marias ability to delay gratification is an example of which of thefollowing?

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    The ability to delay gratification is an example of confounding in this

    case because previous studies indicate that this ability is independently

    associated with educational performance and with self-regulation of

    behaviors, and this ability (observed during her early childhood years)

    preceded Marias educational performance during elementary school.