In a long-term study of 3462 randomly selected adults from Lausanne, Switzerland, researchers investigated the relationship between weekly napping frequency and whether or not a person experienced an event related to cardiovascular disease (CVD), such as a heart attack. The two- way table summarizes the data.

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It seems like you're describing a study that involves the analysis of the relationship between weekly napping frequency and the occurrence of cardiovascular disease (CVD) events in a sample of adults from Lausanne, Switzerland. Without the specific data or details from the two-way table, I can provide a general understanding of how such studies are typically conducted.

In a two-way table, the rows and columns represent different categories, and the cells contain the count or percentage of individuals falling into each category. For example:

          | No CVD Event | CVD Event | Total

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No Napping     |       xx  |   xx   | xxxxx

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1-2 times/week  |        xx |   xx   | xxxxx

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3-4 times/week  |        xx |   xx   | xxxxx

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5+ times/week   |      xx |   xx   | xxxxx

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Total       |       xx |   xx   | xxxxx

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Here:

  • The rows might represent different categories of weekly napping frequency (e.g., "No Napping," "1-2 times/week," "3-4 times/week," "5+ times/week").
  • The columns might represent the occurrence of cardiovascular events ("No CVD Event" and "CVD Event").
  • The cells contain the counts or percentages of individuals falling into each combination of napping frequency and CVD event status.

Researchers typically analyze the data using statistical methods to assess whether there is a significant association between napping frequency and the likelihood of experiencing a CVD event. This analysis may involve chi-square tests, odds ratios, or other statistical measures.

If you have specific questions about the findings or interpretation of the study, feel free to provide more details, and I'll do my best to assist you.

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