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All-Cause Mortality for Diabetics or Individuals with Hyperglycemia Applying for Life Insurance
Individuals with diabetes face significantly higher mortality rates, with insulin users experiencing the highest risk. Mortality ratios decreased with age but showed a J-shaped distribution with increasing Body Mass Index (BMI).
Area of Science:
- Epidemiology
- Public Health
- Actuarial Science
Background:
- Diabetes mellitus and hyperglycemia are significant public health concerns.
- Accurate mortality risk assessment for diabetic populations is crucial for insurance and healthcare.
- Previous studies may lack comprehensive data on mortality in individuals with diabetes.
Purpose of the Study:
- To assess mortality rates in a large cohort of US life insurance applicants diagnosed with or exhibiting hyperglycemia.
- To analyze how mortality risk varies by treatment, age, Body Mass Index (BMI), and duration since application.
- To compare observed mortality to expected rates using established actuarial and population tables.
Main Methods:
- Retrospective cohort study of US life insurance applicants (2007-2014) with diabetes or hyperglycemia.
- Linked applicant data to death master files (Social Security Death Master File and commercial file) to determine vital status.
- Calculated Actual to Expected (A/E) mortality ratios using the Society of Actuaries 2008 Valuation Basic Table (2008VBT) and 2010 US population data.
Main Results:
- Overall A/E mortality ratios were 3.15 (full cohort) and 2.56 (reduced cohort) using 2008VBT, indicating substantially elevated mortality.
- Mortality ratios were higher for insulin users and decreased with increasing age.
- A J-shaped distribution of mortality was observed with increasing BMI, with lowest ratios in overweight/obese individuals.
Conclusions:
- Individuals with diabetes applying for life insurance exhibit significantly higher mortality than expected.
- Treatment modality (insulin use) and BMI are key factors influencing mortality risk in this population.
- Mortality risk assessment in diabetics requires consideration of multiple factors beyond diagnosis alone.
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