Julia Dratva1, Randi Bertelsen2, Christer Janson3, Ane Johannessen2, Bryndis Benediktsdóttir4, Lennart Bråbäck5, Shyamali C Dharmage6, Bertil Forsberg5, Thorarinn Gislason4, Debbie Jarvis7, Rain Jogi8, Eva Lindberg3, Dan Norback3, Ernst Omenaas9, Trude D Skorge2, Torben Sigsgaard10, Kjell Toren11, Marie Waatevik9, Gundula Wieslander3, Vivi Schlünssen10, Cecilie Svanes2, Francisco Gomez Real9. 1. 1Department of Epidemiology and Public Health,Swiss Tropical and Public Health Institute,Socinstrasse 57,PO Box 4002,Basel,Switzerland. 2. 3Department of Occupational Medicine,Haukeland University Hospital,Bergen,Norway. 3. 4Department of Medical Sciences,Uppsala University,Uppsala,Sweden. 4. 6Department of Allergy,Respiratory Medicine and Sleep,Landspitali University Hospital,Reykjavik,Iceland. 5. 7Occupational and Environmental Medicine,Department of Public Health and Clinical Medicine,Umeå University,Umeå,Sweden. 6. 8Allergy and Lung Health Unit,Centre for Epidemiology and Biostatistics,Melbourne School of Population and Global Health,University of Melbourne,Melbourne,Australia. 7. 9Faculty of Medicine,National Heart & Lung Institute,Imperial College,London,UK. 8. 10Lung Clinic,Foundation Tartu University Clinics,Tartu,Estonia. 9. 5Department of Clinical Sciences,University of Bergen,Bergen,Norway. 10. 12Department of Public Health,Aarhus University,Aarhus,Denmark. 11. 13Occupational and Environmental Medicine,Sahlgrenska Academy,University of Gothenburg,Gothenburg,Sweden.
Abstract
OBJECTIVE: The aim of the present study was to validate figural drawing scales depicting extremely lean to extremely obese subjects to obtain proxies for BMI and waist circumference in postal surveys. DESIGN: Reported figural scales and anthropometric data from a large population-based postal survey were validated with measured anthropometric data from the same individuals by means of receiver-operating characteristic curves and a BMI prediction model. SETTING: Adult participants in a Scandinavian cohort study first recruited in 1990 and followed up twice since. SUBJECTS: Individuals aged 38-66 years with complete data for BMI (n 1580) and waist circumference (n 1017). RESULTS: Median BMI and waist circumference increased exponentially with increasing figural scales. Receiver-operating characteristic curve analyses showed a high predictive ability to identify individuals with BMI > 25·0 kg/m2 in both sexes. The optimal figural scales for identifying overweight or obese individuals with a correct detection rate were 4 and 5 in women, and 5 and 6 in men, respectively. The prediction model explained 74 % of the variance among women and 62 % among men. Predicted BMI differed only marginally from objectively measured BMI. CONCLUSIONS: Figural drawing scales explained a large part of the anthropometric variance in this population and showed a high predictive ability for identifying overweight/obese subjects. These figural scales can be used with confidence as proxies of BMI and waist circumference in settings where objective measures are not feasible.
OBJECTIVE: The aim of the present study was to validate figural drawing scales depicting extremely lean to extremely obese subjects to obtain proxies for BMI and waist circumference in postal surveys. DESIGN: Reported figural scales and anthropometric data from a large population-based postal survey were validated with measured anthropometric data from the same individuals by means of receiver-operating characteristic curves and a BMI prediction model. SETTING: Adult participants in a Scandinavian cohort study first recruited in 1990 and followed up twice since. SUBJECTS: Individuals aged 38-66 years with complete data for BMI (n 1580) and waist circumference (n 1017). RESULTS: Median BMI and waist circumference increased exponentially with increasing figural scales. Receiver-operating characteristic curve analyses showed a high predictive ability to identify individuals with BMI > 25·0 kg/m2 in both sexes. The optimal figural scales for identifying overweight or obese individuals with a correct detection rate were 4 and 5 in women, and 5 and 6 in men, respectively. The prediction model explained 74 % of the variance among women and 62 % among men. Predicted BMI differed only marginally from objectively measured BMI. CONCLUSIONS: Figural drawing scales explained a large part of the anthropometric variance in this population and showed a high predictive ability for identifying overweight/obese subjects. These figural scales can be used with confidence as proxies of BMI and waist circumference in settings where objective measures are not feasible.
Authors: Juan Pablo López-Cervantes; Marianne Lønnebotn; Nils Oskar Jogi; Lucia Calciano; Ingrid Nordeide Kuiper; Matthew G Darby; Shyamali C Dharmage; Francisco Gómez-Real; Barbara Hammer; Randi Jacobsen Bertelsen; Ane Johannessen; Anne Mette Lund Würtz; Toril Mørkve Knudsen; Jennifer Koplin; Kathrine Pape; Svein Magne Skulstad; Signe Timm; Gro Tjalvin; Susanne Krauss-Etschmann; Simone Accordini; Vivi Schlünssen; Jorunn Kirkeleit; Cecilie Svanes Journal: Int J Environ Res Public Health Date: 2021-12-01 Impact factor: 3.390
Authors: Marianne Lønnebotn; Lucia Calciano; Ane Johannessen; Deborah L Jarvis; Michael J Abramson; Bryndís Benediktsdóttir; Lennart Bråbäck; Karl A Franklin; Raúl Godoy; Mathias Holm; Christer Janson; Nils O Jõgi; Jorunn Kirkeleit; Andrei Malinovschi; Antonio Pereira-Vega; Vivi Schlünssen; Shyamali C Dharmage; Simone Accordini; Francisco Gómez Real; Cecilie Svanes Journal: Nutrients Date: 2022-04-04 Impact factor: 5.717