Frailty is not an inevitable consequence of aging, but a biological syndrome of extreme vulnerability that accelerates decline. According to 2020 data, it affects 11% of adults aged 50 and 51% of those over 90, with significantly higher rates in women, Black and Hispanic people in the United States. This article proposes an interactive 3D infographic to visualize the demographic distribution of risk and the five physical indicators that define the diagnosis.
3D Modeling of Prevalence and the Five Fried Indicators 🧩
The infographic is structured into three modules. The first is a 3D heat map of the United States representing prevalence by age, sex, and ethnicity, allowing the user to rotate the visualization to identify high-risk clusters. The second module is a three-dimensional anatomical model illustrating the five criteria of the Fried phenotype: reduced grip strength (hand), slow gait speed (legs), self-reported exhaustion (brain), low physical activity (full body), and unintentional weight loss (metabolism). Each indicator can be clicked to display normative data and risk thresholds.
The Intervention Window in Pre-Frailty ⏳
The third module is a spectrum graph differentiating three states: robustness, pre-frailty, and established frailty. Pre-frailty, which affects nearly half of adults over 50, is represented as a transition zone highlighted in amber. Clicking on this zone reveals a menu with validated interventions (resistance exercise, protein supplementation, and polypharmacy review), emphasizing that at this stage reversibility is highest and healthcare costs are lower.
What software do you recommend for integrating epidemiological data with 3D models?