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Utility of silhouette showcards to assess adiposity in three countries across the epidemiological transition
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 p...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10021870/ https://www.ncbi.nlm.nih.gov/pubmed/36962336 http://dx.doi.org/10.1371/journal.pgph.0000127 |
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author | Reese, Tyler O. Bovet, Pascal Choo-Kang, Candice Bedu-Addo, Kweku Forrester, Terrence Gilbert, Jack A. Goedecke, Julia H. Lambert, Estelle V. Layden, Brian T. Micklesfield, Lisa K. Plange-Rhule, Jacob Rae, Dale Viswanathan, Bharathi Luke, Amy Dugas, Lara R. |
author_facet | Reese, Tyler O. Bovet, Pascal Choo-Kang, Candice Bedu-Addo, Kweku Forrester, Terrence Gilbert, Jack A. Goedecke, Julia H. Lambert, Estelle V. Layden, Brian T. Micklesfield, Lisa K. Plange-Rhule, Jacob Rae, Dale Viswanathan, Bharathi Luke, Amy Dugas, Lara R. |
author_sort | Reese, Tyler O. |
collection | PubMed |
description | 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/m(2)), obesity alone (BMI ≥ 30 kg/m(2)), 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/m(2) 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. |
format | Online Article Text |
id | pubmed-10021870 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-100218702023-03-17 Utility of silhouette showcards to assess adiposity in three countries across the epidemiological transition Reese, Tyler O. Bovet, Pascal Choo-Kang, Candice Bedu-Addo, Kweku Forrester, Terrence Gilbert, Jack A. Goedecke, Julia H. Lambert, Estelle V. Layden, Brian T. Micklesfield, Lisa K. Plange-Rhule, Jacob Rae, Dale Viswanathan, Bharathi Luke, Amy Dugas, Lara R. PLOS Glob Public Health Research Article 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/m(2)), obesity alone (BMI ≥ 30 kg/m(2)), 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/m(2) 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. Public Library of Science 2022-05-19 /pmc/articles/PMC10021870/ /pubmed/36962336 http://dx.doi.org/10.1371/journal.pgph.0000127 Text en © 2022 Reese et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Reese, Tyler O. Bovet, Pascal Choo-Kang, Candice Bedu-Addo, Kweku Forrester, Terrence Gilbert, Jack A. Goedecke, Julia H. Lambert, Estelle V. Layden, Brian T. Micklesfield, Lisa K. Plange-Rhule, Jacob Rae, Dale Viswanathan, Bharathi Luke, Amy Dugas, Lara R. Utility of silhouette showcards to assess adiposity in three countries across the epidemiological transition |
title | Utility of silhouette showcards to assess adiposity in three countries across the epidemiological transition |
title_full | Utility of silhouette showcards to assess adiposity in three countries across the epidemiological transition |
title_fullStr | Utility of silhouette showcards to assess adiposity in three countries across the epidemiological transition |
title_full_unstemmed | Utility of silhouette showcards to assess adiposity in three countries across the epidemiological transition |
title_short | Utility of silhouette showcards to assess adiposity in three countries across the epidemiological transition |
title_sort | utility of silhouette showcards to assess adiposity in three countries across the epidemiological transition |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10021870/ https://www.ncbi.nlm.nih.gov/pubmed/36962336 http://dx.doi.org/10.1371/journal.pgph.0000127 |
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