**Core Concept:** In medical screening tests, false positives occur when a test falsely identifies a healthy individual as diseased. The number of false positives depends on the balance between sensitivity and specificity of the test. High sensitivity indicates a test that identifies a majority of diseased individuals but may also identify more healthy individuals as diseased.

**Why the Correct Answer is Right:** The correct answer (C) is right because high prevalence leads to more diseased individuals in the tested population, increasing the likelihood of false positives. False positives are more likely when there are numerous diseased individuals in the tested population, as the screening test is more likely to identify healthy individuals as diseased due to the higher number of diseased individuals.

**Why Each Wrong Option is Incorrect:**

A. High specificity (Option A) leads to few false positives, as it is the ability of a test to correctly identify healthy individuals as healthy. Since specificity addresses the test's ability to correctly identify healthy individuals, a high specificity does not contribute to an increased number of false positives.

B. High sensitivity (Option B) is beneficial as it identifies a majority of diseased individuals but does not inherently cause more false positives.

D. Low prevalence (Option D) actually reduces the overall number of false positives, as there are fewer diseased individuals in the tested population.

**Clinical Pearl:** A high prevalence of the disease in the population being screened is a critical factor in determining the number of false positives in a screening test. False positives may be minimized by choosing a test with high sensitivity and specificity, but the prevalence of the disease in the population still plays a significant role in determining the actual number of false positives.