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Related Concept Videos

Actuarial Approach01:20

Actuarial Approach

384
The actuarial approach, a statistical method originally developed for life insurance risk assessment, is widely used to calculate survival rates in clinical and population studies. This method accounts for participants lost to follow-up or those who die from causes unrelated to the study, ensuring a more accurate representation of survival probabilities.
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
384

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Related Experiment Video

Updated: Apr 27, 2026

Assessment of Age-related Changes in Cognitive Functions Using EmoCogMeter, a Novel Tablet-computer Based Approach
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Underwriting mortality risk using cognitive function tests.

Guizhou Hu, Ashlee Duncan, Bob Brown

    Journal of Insurance Medicine (New York, N.Y.)
    |July 10, 2014
    PubMed
    Summary
    This summary is machine-generated.

    Simple cognitive function tests predict mortality risk in older adults. These assessments, measuring memory and mental status, independently correlate with all-cause mortality, offering valuable insights for health and longevity.

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    Area of Science:

    • Gerontology
    • Cognitive Neuroscience
    • Epidemiology

    Background:

    • Cognitive decline is a significant concern in aging populations.
    • Early identification of mortality risk factors is crucial for public health.
    • The predictive value of basic cognitive assessments for long-term outcomes requires further investigation.

    Purpose of the Study:

    • To evaluate the association between selected cognitive function tests and all-cause mortality.
    • To assess the predictive power of memory and mental status tests on mortality risk in older adults.

    Main Methods:

    • Longitudinal analysis of 27,648 individuals (aged 65+) from the Health and Retirement Study (HRS).
    • Follow-up period averaged 8.9 years, with 8268 deaths recorded.
    • Utilized actuarial methods and Cox proportional hazard models, adjusting for covariates like age, gender, and smoking.

    Main Results:

    • All four cognitive function tests independently predicted all-cause mortality.
    • Continuous cognitive test scores showed a significant correlation with mortality outcomes.
    • Associations remained significant in a healthy subgroup, suggesting broad applicability.

    Conclusions:

    • Simple cognitive screening tests are significant independent predictors of all-cause mortality.
    • These findings highlight the utility of basic cognitive assessments in identifying mortality risk in older populations.