Body image and anthropometric data in adolescents

Background Body Image reflects a person path, whose perceptions are part of its unit and are determinant for its existence, at each moment. Na individuals perception about his body is affected by others comments, that most of the times leads to insatisfaction with owns body image. At the present moment, studies that correlate real measured anthropometric data, body image perception and satisfac- tion are not known. Objective To evaluate the relation between real anthropometric data and body image perception and satisfaction, in Portuguese adolescents. Methods A descriptive transversal and quantitative study was designed in na education institution located in the North of Portugal. There were evaluated 214 adolescents, with ages between 10 and 19 years. Each participants anthropometric data (weight and height) were assessed, aiming to determine BMI for age centile, according to Centres of Disease and Control Prevention. Body Image perception and satisfaction was determined using Gardner et al., 1999 body image scales, with ±30 % distortion. Results The 214 adolescents (124 female and 90 male) that partici- pated in this study, were classified according to BMI for age centiles, and 1.4 % were underweight and 22.9 % overweight or obese. It was possible to verify, using Kruskal-Walis non Parametric Test, that there is a statistically significant association between body image satisfaction and academic level, revealing that adolescents body image increases as academic level increases. The results show that there is no significant association between the remain variables: BMI, gender and body image perception). Conclusions Although several studies, in other countries and/or age groups, show that females have lower body image satisfaction levels than males, this study failed to show coincident results. It was proved that as academic level increases, adolescents body image increases as well. It is evident that intervention projects to promote better body images perception and satisfaction are fundamental, especially in adolescents from younger age groups

Relation between body image and nutrition knowledge in adolescentes

Pretende-se verificar se existe relação entre os conhecimentos nutricionais (CN), a antropometria, a perceção da imagem corporal (PIC) e satisfação da imagem corporal (SIC), em adolescentes portugueses. É um estudo de carácter analítico, com um desenho transversal e metodologia quantitativa, realizado numa instituição escolar da zona norte de Portugal, na qual foram avaliados 212 alunos, com idades entre 10 e 18 anos. Foi efetuada a antropometria de cada participante, visando determinar os percentis. A PIC e a SIC foram avaliadas através da escala de silhuetas corporal de Gardner et al. (1999). Os CN foram avaliados através de um questionário. Para tratar os dados recolhidos, recorreu-se ao programa SPSS 19.0. Dos 212 participantes, 123 eram do género feminino e 89 do género masculino Verificou-se correlação, estatisticamente, significativa entre as seguintes variáveis: CN e escolaridade; CN e PIC; SIC e PIC; SIC e IMC; SIC e género; PIC e IMC; PIC e escolaridade; e, entre a PIC e o género. Os resultados do estudo são reveladores da associação entre a PIC e a SIC e os CN. Verifica-se maior SIC e PIC, por parte das raparigas. Também foi possível verificar, que tal como acontece, em relação aos CN, quanto maior o nível de escolaridade maior é a PIC e a SIC.This study aims to evaluate the relation between nutritional knowledge (NK), anthropometry, body image perception (BIP) and body image satisfaction (BIS), in Portuguese adolescents. A transversal, analytical and quantitative study was designed in an education institution located in the North of Portugal. 212 adolescents, aged between 10 and 18 years old were assessed. Each participant’s anthropometry was assessed, in order to determine their percentiles. BIP and BIS were determined using Gardner et al. (1999) body image scales. The NK was evaluated using a questionnaire. To treat the data it was used the SPSS 19.0. From a total of 212 participants, 123 were female and 89 male. It was observed a statistically significant correlation among the following variables: NK and education level; NK and BIP; BIS and BIP; BIS and BMI; BIS and gender; BIP and BMI; BIP and education levels, and between BIP and gender. The results of this study showed an association between BIP, BIS and NK. Girls presented higher BIP and BIS. It was also possible to observe that the higher education level, higher was the BIP and the BIS.info:eu-repo/semantics/publishedVersio

NEOTROPICAL XENARTHRANS: a data set of occurrence of xenarthran species in the Neotropics

Xenarthrans – anteaters, sloths, and armadillos – have essential functions for ecosystem maintenance, such as insect control and nutrient cycling, playing key roles as ecosystem engineers. Because of habitat loss and fragmentation, hunting pressure, and conflicts with 24 domestic dogs, these species have been threatened locally, regionally, or even across their full distribution ranges. The Neotropics harbor 21 species of armadillos, ten anteaters, and six sloths. Our dataset includes the families Chlamyphoridae (13), Dasypodidae (7), Myrmecophagidae (3), Bradypodidae (4), and Megalonychidae (2). We have no occurrence data on Dasypus pilosus (Dasypodidae). Regarding Cyclopedidae, until recently, only one species was recognized, but new genetic studies have revealed that the group is represented by seven species. In this data-paper, we compiled a total of 42,528 records of 31 species, represented by occurrence and quantitative data, totaling 24,847 unique georeferenced records. The geographic range is from the south of the USA, Mexico, and Caribbean countries at the northern portion of the Neotropics, to its austral distribution in Argentina, Paraguay, Chile, and Uruguay. Regarding anteaters, Myrmecophaga tridactyla has the most records (n=5,941), and Cyclopes sp. has the fewest (n=240). The armadillo species with the most data is Dasypus novemcinctus (n=11,588), and the least recorded for Calyptophractus retusus (n=33). With regards to sloth species, Bradypus variegatus has the most records (n=962), and Bradypus pygmaeus has the fewest (n=12). Our main objective with Neotropical Xenarthrans is to make occurrence and quantitative data available to facilitate more ecological research, particularly if we integrate the xenarthran data with other datasets of Neotropical Series which will become available very soon (i.e. Neotropical Carnivores, Neotropical Invasive Mammals, and Neotropical Hunters and Dogs). Therefore, studies on trophic cascades, hunting pressure, habitat loss, fragmentation effects, species invasion, and climate change effects will be possible with the Neotropical Xenarthrans dataset

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

Fabrication and characterization of modified macroporous bioceramics for bone regeneration

Tese de doutoramento. Ciências da Engenharia. Faculdade de Engenharia. Universidade do Porto, Departamento de Engenharia Cerâmica e do Vidro. Universidade de Aveiro. 200