Key result
Pulvers' silhouette showcards predict BMI and waist metrics, but the relationship varies widely across countries.
Why the study?
Pulvers' silhouette showcards assess body size perception non-invasively, but their utility across different populations has not been examined.
Do Pulvers' silhouette showcards accurately predict measured anthropometric adiposity in African-origin populations across different countries?
Cross-Sectional (n=751)
Yes
Do Pulvers' silhouette showcards accurately predict measured anthropometric adiposity in African-origin populations across different countries?
Pulvers' silhouette showcards can predict anthropometric adiposity measures within specific populations, but population-specific calibration is required as no universal cutoff exists across different countries.
Silhouette showcards need country-specific calibration for adiposity estimates; leaves open broader validation before clinical or research use.
The Pulvers' silhouette showcards provide a non-invasive and easy-to-use way of assessing an individual's body size perception using nine silhouette shapes. However, their utility across different populations has not been examined. This study aimed to assess: 1) the relationship between silhouette perception and measured anthropometrics, i.e., body mass index (BMI), waist circumference (WC), waist-height-ratio (WHtR), and 2) the ability to predict with silhouette showcards anthropometric adiposity measures, i.e., overweight and obesity (BMI ≥ 25 kg/m2), obesity alone (BMI ≥ 30 kg/m2), elevated WC (men ≥ 94 cm; women ≥ 80 cm), and WHtR (> 0.5) across the epidemiological transition. 751 African-origin participants, aged 20-68 years old, from the United States (US), Seychelles, and Ghana, completed anthropometrics and selected silhouettes corresponding to their perceived body size. Silhouette performance to anthropometrics was examined using a least-squares linear regression model. A receiver operator curve (ROC) was used to investigate the showcards ability to predict anthropometric adiposity measures. The relationship between silhouette ranking and BMI were similar between sexes of the same country but differed between countries: 3.65 [95% CI: 3.34-3.97] BMI units/silhouette unit in the US, 3.23 [2.93-3.74] in Seychelles, and 1.99 [1.72-2.26] in Ghana. Different silhouette cutoffs predicted obesity differently in the three countries. For example, a silhouette ≥ five had a sensitivity/specificity of 77.3%/90.6% to predict BMI ≥ 25 kg/m2 in the US, but 77.8%/85.9% in Seychelles and 84.9%/71.4% in Ghana. Ultimately, silhouettes predicted BMI, WC, and WHtR similarly within each country and sex but not across countries. Our data suggest that Pulvers' silhouette showcards may be a helpful tool to predict anthropometric and adiposity measures in different populations when direct measurement cannot be performed. However, no universal silhouette cutoff can be used for detecting overweight or obesity status, and population-specific differences may stress the need to calibrate silhouette showcards when using them as a survey tool in different countries.
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Reese et al. (2022) conducted a cross-sectional in Adiposity (n=751). Pulvers' silhouette showcards vs. Measured anthropometrics was evaluated on Relationship between silhouette ranking and BMI (BMI units/silhouette unit). Pulvers' silhouette showcards predicted BMI, waist circumference, and waist-to-height ratio within each country, but the relationship differed across countries (e.g., 3.65 BMI units/silhouette in the US vs 1.99 in Ghana).
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