Brian Lanzrath, Director of Analytics and Ben Abbott, Data Scientist were recently published in Contingencies. This article highlights some of the statistical evidence for the conventional wisdom that widespread weight gain in the insurance population (measured with BMI) was accelerated during the COVID-19 pandemic, especially among younger women. However, the absolute size of the effect was a modest 1%. Other physical and laboratory metrics also appear to have been affected, especially urine protein and creatinine.
As the world continues to respond to the impact of the novel coronavirus, it may be worth continuing to monitor trends that may lead to increased risk factors for insurers.
Read full article>>
Brian Lanzrath, Director of Analytics and Ben Abbott, Data Scientist were recently published in Contingencies. This article highlights some of the statistical evidence for the conventional wisdom that widespread weight gain in the insurance population (measured with BMI) was accelerated during the COVID-19 pandemic, especially among younger women. However, the absolute size of the effect was a modest 1%. Other physical and laboratory metrics also appear to have been affected, especially urine protein and creatinine.
As the world continues to respond to the impact of the novel coronavirus, it may be worth continuing to monitor trends that may lead to increased risk factors for insurers.
Read full article>>