Confounding is a particular challenge in nutritional epidemiology because

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Epidemiology NCLEX Questions Questions

Question 1 of 5

Confounding is a particular challenge in nutritional epidemiology because

Correct Answer: D

Rationale: Confounding occurs when a third factor affects exposure and outcome. In nutritional epidemiology, dietary components (e.g., fat and calories) are correlated (D), complicating isolation of effects (e.g., does fat or total energy increase heart disease risk?). A and B are measurement issues, not confounding. C is false; methods like multivariable adjustment exist.

Question 2 of 5

What is an epidemic curve?

Correct Answer: A

Rationale: An epidemic curve (A) plots cases over time to show outbreak patterns (e.g., point source). B, C, and D are unrelated.

Question 3 of 5

Which of the following best describes a confounding variable?

Correct Answer: B

Rationale: Confounding (B) distorts exposure-outcome links via a third variable (e.g., age in smoking-lung cancer). A is causation, C is effect, D is unrelated.

Question 4 of 5

What type of bias is commonly associated with retrospective studies?

Correct Answer: C

Rationale: Recall bias (C) is common in retrospective studies (e.g., case-control) as memory distorts past exposures. A, B, and D occur but aren’t specific.

Question 5 of 5

Which type of study design is best suited for studying rare exposures?

Correct Answer: C

Rationale: Cohort studies (C) suit rare exposures (e.g., radiation) by following exposed groups. A and B focus on outcomes, D is impractical for rare exposures.

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