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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.
Afiliação
  • Reese TO; Stritch School of Medicine, Loyola University Chicago, Maywood, Illinois, United States of America.
  • Bovet P; Department of Medicine, University of Colorado School of Medicine, Aurora, Colorado, United States of America.
  • Choo-Kang C; Unit for Prevention and Control of Cardiovascular Disease, Ministry of Health, Victoria, Republic of Seychelles.
  • Bedu-Addo K; University Center for Primary Care and Public Health, Lausanne, Switzerland.
  • Forrester T; Parkinson School of Health Sciences and Public Health, Loyola University Chicago, Maywood, Illinois, United States of America.
  • Gilbert JA; Department of Physiology, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
  • Goedecke JH; Solutions for Developing Countries, University of the West Indies, Mona, Kingston, Jamaica.
  • Lambert EV; Department of Surgery, Microbiome Center, University of Chicago, Chicago, Illinois, United States of America.
  • Layden BT; Division of Exercise Science and Sports Medicine, Department of Human Biology, Research Centre for Health through Physical Activity, Lifestyle and Sport, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.
  • Micklesfield LK; Non-Communicable Diseases Research Unit, South African Medical Research Council, Cape Town, South Africa.
  • Plange-Rhule J; Department of Surgery, Microbiome Center, University of Chicago, Chicago, Illinois, United States of America.
  • Rae D; Division of Endocrinology, Diabetes, and Metabolism, University of Illinois at Chicago, Chicago, Illinois, United States of America.
  • Viswanathan B; Jesse Brown Veterans Affairs Medical Center, Chicago, Illinois, United States of America.
  • Luke A; Division of Exercise Science and Sports Medicine, Department of Human Biology, Research Centre for Health through Physical Activity, Lifestyle and Sport, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.
  • Dugas LR; SAMRC/Wits Developmental Pathways for Health Research Unit, Department of Pediatrics, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
PLOS Glob Public Health ; 2(5): e0000127, 2022.
Article em En | MEDLINE | ID: mdl-36962336
ABSTRACT
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.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article