Key takeaways
- Chronological age does not fully capture variation in health and mortality risk between individuals.
- The growing population of older-age applicants creates both underwriting challenges and significant business opportunities for insurers.
- Future underwriting approaches will need to combine age-specific risk factors with advances in technology and data collection.
Aging is defined as “the process of accumulation of consequences of life, such as molecular and cellular damage, that leads to functional decline, chronic diseases, and ultimately mortality.”1
Although individuals age chronologically at the same rate, biological changes, such as molecular and cellular damage accumulation, can occur at different rates. While some people maintain good overall health in old age, others are impacted by negative external causes such as lifestyle and environmental factors. Understanding the difference between biological and chronological age – referred to as age deviation – and the causes behind this can allow for better mortality risk assessment at the underwriting stage.
A key consideration is when biological markers are first noted to be associated with accelerated aging and early mortality. Early influences on health, such as physical inactivity, being overweight, lifestyle (e.g., smoking, alcohol consumption), antibiotic use, and environmental factors (e.g., air pollution) have been associated with accelerated biological aging later in life. This article examines important markers of mortality and the challenges faced by insurers in underwriting older lives.
Important markers of mortality in older lives
At present, there is little consensus on what components should be included as measurements of biological aging or how they perform in predicting mortality. Physiological biomarkers are used regularly in the underwriting process (e.g., blood pressure), but other markers such as resting heart rate (RHR) historically have not formed part of the underwriting process, particularly for older individuals. Research shows that the risk of mortality increases as RHR increases and that it is a powerful predictor of mortality. Importantly, this association remains consistent across different age groups. RHR is an easily measured metric, because it is non-invasive, can be completed as part of a medical examination, and can be easily integrated into current underwriting practices.
A recent collaborative study by RGA and the University of Leicester found that RHR significantly outperformed total cholesterol as a mortality predictor and has the potential to replace body mass index (BMI) without meaningful loss of predictive accuracy.2 While RHR measurements should be interpreted in context (e.g., medication use or prevalent disease), it adds incremental value to traditional underwriting metrics.
Increasing evidence shows that pulse pressure (the difference between systolic and diastolic blood pressure) is predictive of coronary heart disease in middle and older age, while the use of N-terminal pro B-type natriuretic peptide (NT-proBNP), a protein produced by the heart, has potential use in assessing mortality risk for older-age applicants with cardiovascular disease.3
High levels (3-10 mg/dl) of the inflammatory marker C-reactive protein (CRP) are also predictive of early mortality and physical decline. Age-related increases of interleukin IL-6 have been associated with cardiovascular disease, certain cancers, Alzheimer’s disease, and osteoporosis, while low levels of insulin-like growth factor-1 (IGF-1) have been correlated with increased mortality. Several of these markers, as well as high systolic blood pressure (OR 1.16), fibrinogen (OR 1.29), and creatinine clearance (OR 1.31) were significantly related to mortality in the National Health and Nutrition Examination Survey (NHANES) III sample of middle-aged and older adults.3
Another key marker of mortality risk in older lives is cognitive function, which appears to be one of the strongest and most consistent predictors of mortality. Functional capacity, particularly the ability to perform activities of daily living (ADLs), is also strongly associated with mortality risk, as too are frailty and walking pace – markers of physiological decline that are specific to older age.4 A frailty index (FI), noted to be a strong predictor of mortality, could be used to quantify frailty based on accumulation of various health-related deficits and has been shown to outperform chronological age as a predictor of mortality.5