Wong · The American journal of clinical nutrition 2022 · Cross-sectional optical scanning and mathematical avatar modeling · n=570

Emergence of the obesity epidemic: 6-decade visualization with humanoid avatars.

Cited 21 times in the scientific literature.

Level 4 - case-series / case-control

Cross-sectional 3D anthropometric scanning combined with statistical modeling applied to historical survey data (design analogy).

PubMed 35030235 · doi:10.1093/ajcn/nqac005 · record verified 2026-08-27

What was done

Researchers performed 3D optical scans on a demographically diverse sample of 570 healthy adults. The scan data were converted into principal components, and manifold regression models were constructed using body mass, height, age, and waist circumference as covariates. These models were then applied to national anthropometric data from CDC surveys spanning six decades (1960–1962 to 2015–2018 across 9 survey cycles) to generate representative male and female humanoid avatars illustrating population-level changes in body size and shape over time and at standard BMI cutoffs.

What was found

The abstract reports a curvilinear increase in adult US body mass, waist circumference, and BMI for both males and females across the 9 surveys over 6 decades. Average population age showed a small increase, while height trends were inconsistent across the period. Four representative male and female avatars created at approximately 20-year intervals graphically demonstrate the morphological progression of the obesity epidemic. The abstract does not report specific numerical values, means, or effect sizes for the anthropometric trends.

Why it matters

This methodology provides a standardized, visual communication tool to translate abstract public health metrics and BMI cutoffs into realistic, three-dimensional anatomical representations of secular population shifts.

Limits

The abstract provides no raw numerical measurements or exact anthropometric estimates for the underlying surveys. The visual shapes are synthetic mathematical reconstructions derived from a modern sample of 570 individuals rather than true historical 3D body scans, relying entirely on four summary covariates (body mass, height, age, waist circumference) to estimate full-body shape variations.

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