Body mass index (BMI) is the measure most often used to identify unhealthy weight in clinical practice, as well as in insurance underwriting. The BMI is based on the weight and height of a person, calculated by the formula BMI = weight in kg/height in meters squared. While BMI is easy to determine and less prone to measurement errors than other measures of adiposity, it is often criticized because it cannot distinguish between lean and fat mass, and it cannot indicate how fat mass is distributed in the body. This is relevant because research has shown that fat accumulation at the waist increases cardiovascular risk more than body fat accumulations elsewhere in the body.
Perspectives on the Body Mass Index
Other studies have shown that on an aggregated population level BMI correlates well with fat and lean mass.1 It has also been shown that BMI has a good specificity of approximately 90% to 99%, i.e. the likelihood that a person with a high BMI also has a high proportion of adipose tissue is high.2,3
There are, however, specific populations for which BMI is not an accurate measure of adiposity. This includes athletes and bodybuilders with high muscle-to-fat ratio, where BMI might overestimate proportion of adipose tissue. Furthermore, the standard BMI formula is not applicable to people with amputations, pregnant women, and young children. Here, different approaches must be taken or adaptations to the BMI formula must be made. For example, studies investigating BMI in amputees have adjusted the BMI formula calculation to account for the missing limb(s) and the issue of altered body weight distribution, offering a more accurate assessment of body composition and its implication for health in this population.4
Another, very important, issue for risk prediction is the BMI’s limited sensitivity. According to studies, the sensitivity of BMI, i.e. the likelihood that a person with a normal BMI has a normal proportion of body fat, is relatively low, at approximately 36% to 50%.5,6 This means that looking only at the BMI of a person can underestimate the actual risk. This is the reason why using BMI in conjunction with other cardiovascular risk markers, such as blood pressure, blood lipids and blood sugar, is important to identify normal-weight people with an unhealthy metabolic risk profile.
An additional method to improve the BMI’s sensitivity and applicability is to use it in conjunction with other build measures such as waist circumference (WC), which directly considers central adiposity, a key indicator of metabolic health. Several studies have established that an increase in WC within each BMI category is positively associated with increased all-cause mortality, even after a further adjustment for BMI.7 A few studies have integrated BMI and WC into a single index, demonstrating an increased risk linked with an elevation in the combined index. One study allocated participants into WC decile and BMI decile groups. The deciles indicate where the individual participant is in relation to the overall study population in terms of their individual WC and BMI. Participants with a larger difference between WC decile and BMI decile showed increased mortality in the study, which remained after adjustment for BMI.8 Applicants with a normal or only slightly increased BMI and a relatively large WC therefore represent an increased risk.
In addition to WC, other build measures are regularly examined for their usefulness. These include, for example, the waist-to-hip ratio and the waist-to-height ratio. A major limitation of these body measurements, in addition to the generally more limited data available, is their susceptibility to measurement errors and their rare availability in underwriting. In addition, the threshold above which an increased health risk is to be expected is less standardized for those measures.
All in all, BMI is a valuable marker for underwriting as it correlates well with cardiovascular risk on a population level and is easily available. Other weight and build measures are more prone to measurement errors and there is less reliable evidence available on how significantly they correlate with cardiovascular risk. However, it can make sense to use certain measures, such as WC, in combination with BMI to improve the sensitivity of BMI on an individual level.
What is a “Normal” Weight?
Another important question that arises when discussing weight and build is what can be considered a standard risk. In underwriting, product pricing plays an essential role for defining what is considered a “normal” weight and thus what loading is appropriate. It should be noted that for conditions with a high population prevalence, such as overweight, often a part of the risk is already priced in the base premium. If, and what range of, risk is priced in depends on the specific product. Thus, pricing a part of the risk in the base premium can widen the range of BMI values that are accepted as standard risk in underwriting. However, this does not necessarily imply that the priced‑in BMI range is the medically optimal range.
The World Health Organization defines normal weight as a BMI of 18.5 to 24.9. In the past, it has been discussed repeatedly whether this “normal” weight range is also the optimal, most healthy weight. Some studies are suggesting that overweight (BMI ≥25 to 29.9) could be protective compared to normal weight (BMI 18.5 to 24.9). However, when looking at analyses of different age categories, this effect of “healthy overweight” is limited to older age groups (≥65 years in Visaria et al.9).
This suggests that the mechanism which makes overweight appear to be preferable to normal weight is the high prevalence of underlying chronic conditions and/or frailty with loss of muscle mass in older age groups, which results in unintended weight loss and thus appears as a normal BMI in previously overweight people.
This implies two important learnings for the underwriting perspective:
- BMI assessments should be age dependent. The older the applicant, the more the optimal BMI range shifts towards higher BMIs.
- Comorbidities and unintentional weight loss should be assessed carefully, even if the current BMI appears to be normal and would not be ratable based on the BMI value alone.
Impact of Weight Change on Underwriting
With the emergence of potent weight loss medications, including GLP‑1 receptor agonists such as semaglutide, applicants with a history of significant weight change are likely to be seen more often in underwriting. In general, significant weight changes must not always be intentional but can also result from underlying conditions that may or may not yet be diagnosed.
Therefore, the first question that should be asked in underwriting when seeing significant weight loss is: