Life-table methods for detecting age-risk factor interactions in long-term follow-up studies

Area of Science:

• Epidemiology
• Biostatistics
• Cardiovascular Disease Research

Background:

• Age-risk factor interactions are crucial in epidemiological studies.
• Life table analysis methods can influence the detection of these interactions.
• Previous methodological work suggested age of experience life tables might better reveal age-risk factor interactions.

Purpose of the Study:

• To compare age of experience life tables and follow-up time life tables for investigating age-risk factor interactions.
• To examine the age modification of total cholesterol's effect on ischemic heart disease mortality.
• To determine the most appropriate life table analysis for age-specific interactions.

Main Methods:

• Analysis of two long-term follow-up studies involving ischemic heart disease mortality.
• Application of both follow-up time life table analysis and age of experience life table analysis.
• Investigation of total cholesterol as a risk factor and its interaction with age.

Main Results:

• In one study, follow-up time analysis suggested uniform relative risk for cholesterol, while age of experience analysis indicated a negative age interaction.
• The second study showed no evidence of a negative age-cholesterol interaction using either method.
• Age-specific life table analysis is recommended for studies considering age-risk factor interactions.

Conclusions:

• Age-specific life table analysis is the preferred method for investigating age-risk factor interactions.
• When no age interaction exists, both life table approaches produce similar outcomes.
• The choice of life table analysis should align with the specific age or time phenomena under investigation.