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

Anemia In Pregnant Adolescents: Impact Of Treatment On Perinatal Outcomes

This study sought to evaluate the anemia prevalence and effect of anemia treatment in pregnant adolescents.Methods: A cross-sectional study. Data from perinatal outcomes, serum hemoglobin level and iron supplementation were collected. Samples were divided into three groups: pregnant adolescents without anemia, with treated anemia and with untreated anemia. Frequencies, means, standard deviations and Chi-squared values were calculated. The significance level was 5%, and the software used was Epi-info 7.Results: The study included 458 pregnant adolescents. The mean age was 16 years old, and the prevalence of anemia was 41.27% (189). Mild, moderate or severe anemia were presented in 65.60%, 33.86% and 0.52%, respectively, of study participants. Among pregnant adolescents with anemia, 87.24% received treatment with iron supplementation. Preterm labor (p=0.003), gestational age at birth <37 weeks (p=0.036) and stillbirth (p=0.004) showed an association with nontreated anemia. Positive HIV was more prevalent in adolescents with nontreated anemia (p=0.018). The cesarean rate was 36.90%, with no difference between groups.Conclusion: Anemia is a public health problem among pregnant adolescents, and iron supplementation reduces negative neonatal outcomes. Treatment adherence by a multidisciplinary and qualified prenatal care team can be key in reducing adverse neonatal outcomes associated with pregnancy during adolescence.30101158116

Registro periodontal simplificado em gestantes

OBJETIVO: Avaliar através do PSR (Registro Periodontal Simplificado) a prevalência, severidade e necessidades básicas de tratamento da doença periodontal em gestantes que freqüentaram a Clínica de Prevenção da Faculdade de Odontologia de Araraquara ­ UNESP. MÉTODOS: Foram examinadas 41 gestantes com idades que variaram de 16 a 37 anos. O PSR foi aplicado com auxílio de uma sonda especialmente recomendada para este exame (sonda Trinity - tipo 621 OMS), indicando os códigos 0 a 4 cujos critérios identificam de saúde gengival, sangramento, cálculo, bolsa periodontal rasa e profunda. Estes foram atribuídos a cada sextante, podendo ou não estarem associados a um asterisco (*) diante da presença de recessão gengival, invasão de furca, mobilidade ou alterações muco-gengivais. RESULTADOS: Demonstraram que 100% das gestantes apresentaram alguma alteração gengival, sendo os códigos 2 (56,1%) e o * (19,5%) os mais prevalentes. Os grupos etários de 15-19 e 20-24 anos, apresentaram o código 2 como maior escore e ausência de sextante excluído (X). A partir do grupo de 25-29 anos, além da maior prevalência ainda ser do código 2 (54,5%), ocorreram os códigos 3 e 4 (bolsa periodontal). Os códigos * e sextante excluído (X) tenderam a aumentar com a idade no grupo de 30-37 anos. De modo geral, os códigos 1 e 2, prevaleceram em relação ao percentual de sextantes afetados, correspondendo a 41,6% e 39,8%, respectivamente e afetando 2,49 e 2,39 sextantes, em média, por gestante. Em relação às necessidades de tratamento, 90,2% das gestantes necessitaram tratamentos adicionais aos preventivos, ou seja, 61,0% das gestantes necessitaram de raspagem e alisamento radicular e/ou eliminar margens de restaurações defeituosas e 29,2% de tratamento complexo. CONCLUSÃO: O atendimento às necessidades de tratamento na gravidez deve receber especial atenção com o intuito de se promover saúde bucal e motivação, e conseqüentemente, contribuir para minimizar a provável transmissibilidade de microrganismos bucais patogênicos para a criança, obtendo assim uma prevenção primária das principais doenças bucais