A 15-year prospective cohort study enrolls 5,000 asymptomatic adults aged 40-60 years and follows them for cardiovascular disease (CVD) outcomes. Baseline measurements include total cholesterol, LDL, HDL, blood pressure, smoking status, physical activity, and alcohol consumption. During analysis, researchers examine the association between baseline LDL cholesterol and incident myocardial infarction while adjusting only for age and sex. They plan to analyze each risk factor independently without multivariable adjustment. Which of the following biases is most likely to distort their estimate of the LDL-CVD association?

  1. A)Detection bias, because more intensive cardiac monitoring in high-cholesterol participants may increase CVD ascertainment
  2. B)Information bias, because self-reported smoking status at baseline may be inaccurately recalled over 15 years
  3. C)Confounding by unmeasured or unadjusted variables, such as diet quality, family history, and inflammatory markers that correlate with both LDL and CVD riskGABARITO
  4. D)Berkson's paradox, because inclusion of asymptomatic baseline participants creates a collider stratification problem
  5. E)Reverse causality, because early subclinical CVD may lower cholesterol through metabolic effects

Explicação

Examining individual risk factors without multivariable adjustment leaves unadjusted confounders that share an association with both the exposure (LDL) and outcome (CVD). Variables such as diet quality, family history of premature CVD, inflammation (CRP), and ... Ver explicação completa e trilha adaptativa →

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