Do adolescents exposed to peer aggression at school consider themselves to be victims of bullying? The influence of sex and age

Introduction Exposure to peer aggression (PA) and bullying victimization (BV) are both expressions of peer victimization. Objectives In four age-sex groups, (1) Can exposure to PA and BV be considered distinct experiences? (2) To what extent do adolescents exposed to PA consider themselves bullying victims? and (3) What is the effect on BV of the number of PA events experienced? Methods This cross-sectional study evaluated a probabilistic community-based sample of 669 adolescents (11-15 years, 51.7% girls). A three-stage probabilistic sampling plan involved random selection of census units, eligible households, and one target child per household selected. A 15-item scale investigated exposure to PA events (physical aggression, verbal harassment, social manipulation) occurring more than once in the past six months. BV occurring more than once a week or most days in the past six months was investigated after presenting respondents with a BV definition that required them to feel harmed by their victimization experiences. Results Adolescents exposed to PA and/or BV reported PA only (76.2%), BV only (4.7%), and both (19.1%). Rates of BV among those exposed to PA were as follows: 11-to-12-year-old boys (22.7%), 13-to-15-year-old boys (9.7%), 11-to-12-year-old girls (46.5%), and 13-to-15-year-old girls (13.2%). Multiple logistic regression analysis (outcome = BV) found a significant interaction between PA, age, and sex. PA events had a significant effect on BV for all except older girls. Conclusion Exposure to PA and BV are different constructs; few older boys exposed to PA consider themselves bullying victims; and older girls are less affected by PA when it comes to BV

Biofeedback na atividade eletromiográfica dos músculos do assoalho pélvico em gestantes

BACKGROUND: Maintaining continence is among the functions of the pelvic floor muscles (PFM) and their dysfunction can cause urinary incontinence (UI), which is a common occurrence during pregnancy and the puerperal period. Pelvic floor muscle training (PFMT), therefore, is important during pregnancy, although most women perform the muscle contractions unsatisfactorily. OBJECTIVES: This study is an exploratory analysis of the results of three electromyographic (EMG) activity biofeedback sessions in pregnant women. METHODS: The study sample included 19 nulliparous women with low risk pregnancies. The participants performed three sessions of EMG biofeedback consisting of slow and fast contractions. The average value of the normalized amplitudes of surface electromyography was used to evaluate the results. The linear regression model with mixed effects was used for statistical analysis, with the EMG data normalized by maximum voluntary contraction (MVC). RESULTS: A steady increase in EMG amplitude was observed during each contraction and by the end of the biofeedback sessions, although this difference was only significant when comparing the first tonic contraction of each session (p=0.03). CONCLUSIONS: The results indicate that three sessions of training with biofeedback improved PFM EMG activity during the second trimester in women with low-risk pregnancies. The effectiveness of this protocol should be further investigated in randomized controlled trials.CONTEXTUALIZAÇÃO: Dentre as funções dos músculos do assoalho pélvico (MAPs), pode-se citar a manutenção da continência, sendo que sua disfunção pode causar a incontinência urinária (IU), muito frequente no período gestacional e no puerpério. Diante disso, se faz importante o treinamento dos músculos do assoalho pélvico (TMAP) durante o período gestacional, entretanto grande parte das mulheres realiza a contração dessa musculatura de maneira insatisfatória. OBJETIVOS: Realizar uma análise exploratória dos resultados de três sessões de biofeedback na atividade eletromiográfica em mulheres gestantes. MÉTODOS: Este estudo incluiu 19 gestantes nulíparas com gravidez de baixo risco. Foram realizadas três sessões de biofeedback eletromiográfico compostas por contrações lentas e rápidas, utilizando-se como método de avaliação dos resultados as médias das amplitudes normalizadas da eletromiografia (EMG) de superfície. Para a análise estatística, utilizou-se o modelo de regressão linear com efeitos mistos, sendo que os dados da EMG foram normalizados pela contração voluntária máxima (CVM). RESULTADOS: Após as sessões de biofeedback, constatou-se um aumento crescente na amplitude eletromiográfica a cada contração realizada e a cada sessão, entretanto essa diferença só foi estatisticamente significante para a comparação entre a primeira contração tônica de cada sessão (p=0.03). CONCLUSÕES: Os resultados obtidos indicam que três sessões de treinamento com biofeedback melhoraram a atividade eletromiográfica dos MAPs em gestantes de baixo risco no segundo trimestre. A efetividade do protocolo necessita ser futuramente investigada em estudo randomizado controlado.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP

Genome of the Avirulent Human-Infective Trypanosome—Trypanosoma rangeli

Background: Trypanosoma rangeli is a hemoflagellate protozoan parasite infecting humans and other wild and domestic mammals across Central and South America. It does not cause human disease, but it can be mistaken for the etiologic agent of Chagas disease, Trypanosoma cruzi. We have sequenced the T. rangeli genome to provide new tools for elucidating the distinct and intriguing biology of this species and the key pathways related to interaction with its arthropod and mammalian hosts.  Methodology/Principal Findings: The T. rangeli haploid genome is ,24 Mb in length, and is the smallest and least repetitive trypanosomatid genome sequenced thus far. This parasite genome has shorter subtelomeric sequences compared to those of T. cruzi and T. brucei; displays intraspecific karyotype variability and lacks minichromosomes. Of the predicted 7,613 protein coding sequences, functional annotations could be determined for 2,415, while 5,043 are hypothetical proteins, some with evidence of protein expression. 7,101 genes (93%) are shared with other trypanosomatids that infect humans. An ortholog of the dcl2 gene involved in the T. brucei RNAi pathway was found in T. rangeli, but the RNAi machinery is non-functional since the other genes in this pathway are pseudogenized. T. rangeli is highly susceptible to oxidative stress, a phenotype that may be explained by a smaller number of anti-oxidant defense enzymes and heatshock proteins.  Conclusions/Significance: Phylogenetic comparison of nuclear and mitochondrial genes indicates that T. rangeli and T. cruzi are equidistant from T. brucei. In addition to revealing new aspects of trypanosome co-evolution within the vertebrate and invertebrate hosts, comparative genomic analysis with pathogenic trypanosomatids provides valuable new information that can be further explored with the aim of developing better diagnostic tools and/or therapeutic targets

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