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This deck focuses on 9a Health Medicine Social Epidemiology, giving you a quick way to review the definitions, rules, and examples that matter most for MCAT Psychological Social Foundations.
Study 9a Health Medicine Social Epidemiology in MCAT Psychological Social Foundations with focused flashcards that help you recognize the idea, recall the key rule, and apply it in practice-style prompts.
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What is a protective factor in social epidemiology?
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Characteristic associated with decreased probability of disease. Exposure that lowers disease risk below baseline.
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This deck focuses on 9a Health Medicine Social Epidemiology, giving you a quick way to review the definitions, rules, and examples that matter most for MCAT Psychological Social Foundations.
Work through these flashcards in short sessions. Try to answer each prompt before flipping the card, then revisit any cards you miss until the explanation feels automatic.
Answer: Characteristic associated with decreased probability of disease. Exposure that lowers disease risk below baseline.
Answer: Health improves stepwise as socioeconomic status increases. Not just poor vs rich; each SES level shows better health.
Answer: Inferring individual-level relationships from group-level (aggregate) data. Population patterns may not apply to individuals within groups.
Answer: Systematic differences in who is selected into the study. Non-random sampling affects study generalizability.
Answer: Follows exposed and unexposed groups forward to compare outcomes. Prospective design tracks disease development over time.
Answer: Prevalence=total populationexisting cases. Proportion of population with disease at one time point.
Answer: Differential accuracy of remembered past exposures between groups. Cases may remember exposures better than controls.
Answer: Specificity=TN+FPTN. Proportion of healthy correctly identified as negative.
Answer: A third variable related to both exposure and outcome. Can falsely create or hide true associations if not controlled.
Answer: Third variable related to exposure and outcome that distorts association. Confounders create spurious associations, requiring statistical adjustment to isolate true exposure-outcome relationships.
Answer: Risk increases disease likelihood; protective decreases it. Factors modify disease probability in opposite directions.
Answer: Cohort study. Prospective design allows direct incidence calculation.
Answer: Herd immunity. Protects vulnerable individuals who cannot be vaccinated.
Answer: $ \text{Prevalence} \approx \text{Incidence} \times \text{Average duration}$. Shows how new cases accumulate over disease duration.
Answer: Secondary prevention. Secondary prevention detects asymptomatic or early-stage disease through methods like mammography to improve prognosis.
Answer: Prevalence=total populationexisting cases. Point or period measure; affected by both incidence and duration.
Answer: Risk=population at risknew cases. Assumes closed cohort; gives proportion who develop disease.
Answer: Systematic health differences linked to social disadvantage. Health disparities arise from inequities in access, resources, and opportunities, perpetuating unequal health outcomes.
Answer: Characteristic associated with decreased probability of disease. Reduces disease risk through various mechanisms.
Answer: Social and environmental conditions shaping health risks and outcomes. SDOH influence health through factors like education, income, and housing, beyond individual behaviors or genetics.
Answer: Incidence=population at risknew cases. Cumulative incidence estimates the probability of developing the disease during a specified period among those at risk.
Answer: Systematic differences from nonrandom participant selection. Occurs when study sample differs from target population.
Answer: Probability the test is negative given disease is absent. High specificity minimizes false positives.
Answer: No association between exposure and outcome. Equal risk in both groups indicates no effect.
Answer: Primary prevention. Prevents disease before it occurs.
Answer: Study of disease distribution and determinants in populations. Focuses on patterns and causes across groups, not individuals.
Answer: No association between exposure and outcome. Equal odds indicate exposure doesn't affect outcome likelihood.
Answer: Communicable are infectious; noncommunicable are not. Transmission potential distinguishes disease categories.
Answer: Primary prevention. Primary prevention targets root causes like vaccination or lifestyle changes to avoid disease development entirely.
Answer: Case-control study. Starts with rare disease cases, then finds controls.
Answer: CFR=diagnosed casesdeaths from disease. Often expressed as percentage; higher means deadlier disease.
Answer: Exposed group has twice the risk of the outcome vs unexposed. Risk doubles with exposure compared to without.
Answer: Probability a test is negative given disease is absent. True negative rate; correctly identifies healthy individuals.
Answer: No association between exposure and outcome. Equal risks mean exposure doesn't affect outcome.
Answer: OR=odds in unexposedodds in exposed. Approximates RR when disease is rare.
Answer: Systematic health differences linked to social disadvantage. Often tied to socioeconomic status, race, or geography.
Answer: Sensitivity=TP+FNTP. Proportion of diseased correctly identified as positive.
Answer: Cross-sectional study. Provides prevalence data; cannot establish temporal sequence.
Answer: Risk in exposed group divided by risk in unexposed group. Compares disease rates between exposed and unexposed.
Answer: Prevalence. Longer disease duration increases existing cases.
Answer: Experiment with random assignment to intervention vs control. Gold standard for causal inference; minimizes confounding.
Answer: Average number of years a person is expected to live. Statistical estimate based on current mortality rates.
Answer: OR compares odds; classically estimated in case-control studies. Approximates RR when disease is rare; retrospective design.
Answer: Symptom change due to treatment expectations. Psychological response, not pharmacological effect.
Answer: Case-control study. Retrospective design efficient for rare diseases.
Answer: Tertiary prevention. Manages existing disease to prevent complications.
Answer: New cases in a population during a specified time period. Measures disease occurrence rate, not total cases.
Answer: Prevalence. Longer disease duration increases prevalence but not incidence.
Answer: Incidence. New cases indicate likelihood of getting disease.
Answer: Overattributing health outcomes to individual traits while underweighting context. Ignores social determinants by focusing on personal responsibility.
Answer: OR=bcad. Cross-product ratio from contingency table.
Answer: Probability test is negative given disease is absent. True negative rate; ability to rule out disease.
Answer: Nonmedical social conditions that influence health outcomes. Include income, education, housing, environment.
Answer: Prevalence. Chronic diseases accumulate cases over time.
Answer: Total existing cases in a population at a given time. Snapshot of disease burden; includes both new and old cases.
Answer: Illness or disease burden in a population. Includes both physical and mental health conditions.
Answer: Incidence proportion=population at risknew cases. Risk of developing disease during the time period.
Answer: Case-control study. Works backward from cases/controls to compare past exposures.
Answer: Death rate in a population. Specifically measures deaths, not illness.
Answer: Differential memory of exposure; common in case-control studies. Cases remember exposures better than controls.
Answer: Incidence proportion=population at risknew cases. Measures new disease occurrence in at-risk population.
Answer: Prevalence=total populationexisting cases. Proportion of population with disease at one time point.
Answer: No association between exposure and outcome. Equal risk in both groups; exposure doesn't affect outcome.
Answer: Case-control. Easier to find enough rare disease cases to compare.
Answer: A third variable related to both exposure and outcome. Can create false associations if not controlled.
Answer: Illness or disease burden in a population. Measures sickness, not death, in populations.
Answer: Social and economic conditions shaping health risks and outcomes. Include education, income, housing, and neighborhood factors.
Answer: Starts with cases and controls, then compares prior exposures. Retrospective design looks backward from disease status.
Answer: No association (neither increased nor decreased risk). RR=1 means equal risk in both groups.
Answer: Systematic health differences across socially advantaged vs disadvantaged groups. Avoidable, unfair health differences between groups.
Answer: Health improves as socioeconomic status increases. Linear relationship between social position and health.
Answer: Exposure and outcome are measured at the same time point. Snapshot approach captures both simultaneously.
Answer: Differential memory of exposure; most common in case-control. Cases may remember exposures better than controls.
Answer: Deaths before age 1 per live births in a given year. IMR, typically per 1,000 live births, reflects child health and socioeconomic conditions in a population.
Answer: An epidemic spread across multiple countries or continents. Global scale distinguishes from epidemic.
Answer: Beliefs about obstacles or costs that reduce likelihood of action. High perceived barriers decrease preventive health behaviors.
Answer: Total number of cases in a population at a given time. Includes both new and existing cases (point prevalence).
Answer: Prevalence. Total cases reflect overall disease impact on resources.
Answer: Study of disease distribution and determinants in populations. Focuses on patterns and causes at the population level, not individuals.
Answer: sensitivity=TP+FNTP. True positives divided by all with disease.
Answer: Exposure associated with increased probability of disease. Can be modifiable (smoking) or non-modifiable (age).
Answer: Illness or disability in a population. Encompasses all non-fatal health conditions.
Answer: Experimental study with random assignment to intervention vs control. Randomization minimizes confounding bias.
Answer: An exposure associated with increased probability of an outcome. Increases disease risk when present.
Answer: Sensitivity=TP+FNTP. True positives divided by all who have disease.
Answer: Incidence. New cases easier to identify when disease is uncommon.
Answer: Total existing cases in a population at a time (or interval). Captures disease burden regardless of when cases began.
Answer: Specificity=TN+FPTN. True negatives divided by all who don't have disease.
Answer: Correlation is association; causation means one variable produces change. Causation requires direct effect, not just statistical relationship.
Answer: Primary prevention. Prevents disease occurrence in healthy populations.
Answer: Incidence proportion=population at risknew cases. Measures risk of developing disease over time period.
Answer: Probability test is positive given disease is present. True positive rate; ability to detect disease.
Answer: RR=riskunexposedriskexposed. Direct comparison of disease probabilities by exposure.
Answer: A characteristic associated with increased disease probability. Identifies factors that increase disease risk but may not cause it.
Answer: Prevalence. Chronic diseases persist over time, making prevalence a better indicator of ongoing impact than incidence, which tracks new cases.
Answer: Observational study following exposed vs unexposed over time. Prospectively tracks disease development.
Answer: Groups are defined by outcome; prior exposures are compared. Retrospective design: outcome already occurred.
Answer: Illness or disease burden in a population. Encompasses all non-fatal health conditions.
Answer: Incidence proportion=population at risknew cases. Risk of developing disease during the study period.
Answer: Characteristic associated with increased probability of disease. Exposure that raises disease risk above baseline.