10. New research suggests the steep rate of death from stroke in a swath of Sout

Question

10. New research suggests the steep rate of death from stroke in a swath of Southern states often referred to as the “stroke belt” may be linked to a higher consumption of fried fish in that region. A study published in Neurology shows people living in the stroke belt—NC, SC, GA, AL, MS, TN, AR and LA—eat more fried fish and less non-fried fish than people living in the rest of the country, and blacks eat more fried fish than whites. The research, part of the study Reasons for Geographic and Racial Differences in Stroke (REGARDS), involved 21,675 participants from across the country. The average age was 65. Of the participants, 21% were from the “stroke buckle,” the coastal plain region of NC, SC and GA, where stroke mortality rates are even higher than they are in the rest of the stroke belt. Another 34% were from the rest of the stroke belt; 44% were from the other states. Participants were interviewed and given a physical exam. They were asked how often they ate oysters, shellfish, tuna, fried fish and non-fried fish. Fewer than one in four overall ate two or more servings of non-fried fish a week. Stroke belt residents were 32% more likely to eat two or more servings of fried fish each week than those in the rest of the country. African Americans were more than 3.5 times more likely to eat two or more servings of fried fish a week than whites. More research is needed to tease out whether cooking methods affect stroke risk, Labovitz says. “In other words, is fried fish a problem, or is it another red herring?” Considering the variables mentioned in this article, identify the most appropriate type of analysis that could have been used to make this conclusion by selecting one and only one of the following:

a. ANCOVA

b. Linear regression

c. Logistic regression

d. One-way ANOVA

e. Two-way ANOVA

Explanation / Answer

The most appropriate type of analysis that could have been used to make this conclusion is :
ANCOVA

Analysis of covariance (ANCOVA) is used to test the main and interaction effects of categorical variables on a continuous dependent variable (mortality rates).

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