Estimating body volumes and surface areas of animals from cross-sections.

Background: Body mass and surface area are among the most important biological properties, but such information is lacking for some extant organisms and most extinct species. Numerous methods have been developed for body size estimation of animals for this reason. There are two main categories of mass-estimating approaches: extant-scaling approaches and volumetric-density approaches. Extant-scaling approaches determine the relationships between linear skeletal measurements and body mass using regression equations. Volumetric-density approaches, on the other hand, are all based on models. The models are of various types, including physical models, 2D images, and 3D virtual reconstructions. Once the models are constructed, their volumes are acquired using Archimedes' Principle, math formulae, or 3D software. Then densities are assigned to convert volumes to masses. The acquisition of surface area is similar to volume estimation by changing math formulae or software commands. This article presents a new 2D volumetric-density approach called the cross-sectional method (CSM). Methods: The CSM integrates biological cross-sections to estimate volume and surface area accurately. It requires a side view or dorsal/ventral view image, a series of cross-sectional silhouettes and some measurements to perform the calculation. To evaluate the performance of the CSM, two other 2D volumetric-density approaches (Graphic Double Integration (GDI) and Paleomass) are compared with it. Results: The CSM produces very accurate results, with average error rates around 0.20% in volume and 1.21% in area respectively. It has higher accuracy than GDI or Paleomass in estimating the volumes and areas of irregular-shaped biological structures. Discussion: Most previous 2D volumetric-density approaches assume an elliptical or superelliptical approximation of animal cross-sections. Such an approximation does not always have good performance. The CSM processes the true profiles directly rather than approximating and can deal with any shape. It can process objects that have gradually changing cross-sections. This study also suggests that more attention should be paid to the careful acquisition of cross-sections of animals in 2D volumetric-density approaches, otherwise serious errors may be introduced during the estimations. Combined with 2D modeling techniques, the CSM can be considered as an alternative to 3D modeling under certain conditions. It can reduce the complexity of making reconstructions while ensuring the reliability of the results.

Paleomass for R-bracketing body volume of marine vertebrates with 3D models.

Body mass is arguably the most important characteristic of an organism, yet it is often not available in biological samples that have been skeletonized, liquid-preserved, or fossilized. The lack of information is especially problematic for fossil species, for which individuals with body mass information are not available anywhere. Multiple methods are available for estimating the body mass of fossil terrestrial vertebrates but those for their marine counterparts are limited. Paleomass is a software tool for estimating the body mass of marine vertebrates from their orthogonal silhouettes through bracketing. It generates a set of two 3D models from these silhouettes, assuming superelliptical body cross-sections with different exponent values. By setting the exponents appropriately, it is possible to bracket the true volume of the animal between those of the two models. The original version phased out together with the language platform it used. A new version is reported here as an open-source package based on the R scripting language. It inherits the underlying principles of the original version but has been completely rewritten with a new architecture. For example, it first produces 3D mesh models of the animal and then measures their volumes and areas with the VCG library, unlike the original version that did not produce a 3D model but instead computed the volume and area segment by segment using parametric equations. The new version also exports 3D models in polygon meshes, allowing later tests by other software. Other improvements include the use of NACA foil sections for hydrofoils such as flippers, and optional interpolation with local regression. The software has a high accuracy, with the mean absolute errors of 1.33% when the silhouettes of the animals are known.

Self-reported body silhouettes: a diagnostic instrument for anthropometric parameters.

OBJECTIVE: Routine body size measurement of anthropometric values requires professionals, standardized techniques, and calibrated tools. Therefore, there is a need for easier screening tools such as the self-reported body silhouette (Self-bosi). The aim of this study was to analyze the performance of Self-bosi as a proxy of anthropometric values. STUDY DESIGN: Prospective analytic study of the Health Workers Cohort Study. METHODS: Adult participants of the Health Workers Cohort Study were included. Then, through the calculation sensitivity and specificity of Self-bosi to detect abnormal waist circumference (WC) (≥90 cm for male and ≥80 cm for female participants), elevated body fat percentage (BF%) (≥25% for male and ≥35% for female participants), as well as overweight and obesity (≥25 kg/m2) and obesity (≥30 kg/m2). RESULTS: A total of 2471 male and 5940 female participants were analyzed. Overall, Self-bosi discriminate high WC values (area under the curve [AUC]; male participants: 0.80, female participants: 0.82); increased BF% (AUC: male participants: 0.78, female participants: 0.83); overweight and obesity (AUC: male participants: 0.81, female participants: 0.86); and obesity (AUC: male participants: 0.83, female participants: 0.89). CONCLUSION: Self-bosi is an accurate method to assess increased WC, BF%, obesity, and overweight-obesity in Mexican adults. Given its simplicity and low-cost of the self-reported body silhouette, it might be considered a useful anthropometric screening instrument in large scale epidemiological research.

Self-reported body silhouette trajectories across the lifespan and excessive daytime sleepiness in adulthood: a retrospective analysis. The Paris Prospective Study III.

OBJECTIVES: Excessive daytime sleepiness (EDS) is a common sleep complaint in the population and is increasingly recognised as deleterious for health. Simple and sensitive tools allowing identifying individuals at greater risk of EDS would be of public health importance. Hence, we determined trajectories of body silhouette from early childhood to adulthood and evaluated their association with EDS in adulthood. DESIGN: A retrospective analysis in a prospective community-based study. PARTICIPANTS: 6820 men and women self-reported their silhouette at ages 8, 15, 25, 35 and 45 using the body silhouettes proposed by Stunkard et al. EDS was defined by an Epworth Sleepiness Scale score ≥11. MAIN OUTCOME MEASURE: Presence of EDS in adulthood. RESULTS: The study population comprised 6820 participants (mean age 59.8 years, 61.1% men). Five distinct body silhouettes trajectories over the lifespan were identified: 31.9% 'lean stable', 11.1% 'lean increase', 16.1% 'lean-marked increase', 32.5% 'moderate stable' and 8.4% 'heavy stable'. Subjects with a 'heavy-stable' trajectory (OR 1.24, 95% CI 0.94 to 1.62) and those with a 'lean-marked increase' trajectory (OR 1.46, 95% CI 1.18 to 1.81) were more likely to have EDS when compared with the 'lean-stable' group after adjusting for confounding. Further adjustment for birth weight strengthened the magnitude of the ORs. CONCLUSION: Increasing body silhouette and to a lesser extent constantly high body silhouette trajectory from childhood to adulthood are associated with increased likelihood of EDS, independently of major confounding variables. TRIAL REGISTRATION NUMBER: NCT00741728; Pre-results.

Insatisfação corporal e atividade física em adolescentes da região continental de Florianópolis / Body dissatisfaction and physical activity in adolescents from Florianópolis continental region

A relação entre atividade física e insatisfação corporal é pouco explorada na literatura. Foi examinada a insatisfação corporal em relação com o nível de atividade física em estudantes adolescentes de escolas públicas de Florianópolis. A amostra foi de 242 estudantes, 109 meninos (14,6±2,8 anos) e 133 meninas (14,3±3 anos). Os instrumentos utilizados foram: questionário de atividades físicas habituais e escala de percepção de silhueta corporal. Quarenta e três por cento dos meninos e 29,4 por cento das meninas são pouco ativos. Sessenta e nove por cento dos meninos e 76,7 por cento das meninas estão insatisfeitos com sua silhueta corporal. Os meninos demonstram uma tendência em aumentar e diminuir sua silhueta, enquanto as meninas demonstram querer diminuir. Não foi encontrada relação entre satisfação com a silhueta corporal e nível de atividade física habitual. Investigar a relação entre atividade física e insatisfação corporal pode auxiliar em pesquisas futuras que verifiquem intervenções terapêuticas com atividade física no tratamento da insatisfação corporal.

The relationship between physical activity and body dissatisfaction is little explored in literature. It was examined the body dissatisfaction and physical activity relationship among adolescents students of public schools from Florianópolis, Brazil. The sample was composed by 242 students, 109 boys (14,6±2,8 years) and 138 girls (14,3±3 years). The instruments used were a habitual physical activities questionnaire and a body silhouette's scale. Forty three per cent of girls and 29,4 percent of boys are insufficiently active. Sixty nine per cent of the boys and 76,7 percent of the girls are unsatisfied with their body silhouette. Boys demonstrate a tendency of both increase and decrease their body silhouette, while girls demonstrate a tendency to decrease their body silhouette. No association was found between satisfaction with body silhoutte and habitual physical activity status. To investigate the relationship between physical activity and body dissatisfaction can be useful for future research that could be verified in the therapeutical interventions with physical activity for the body dissatisfaction treatment.