12 research outputs found

    The voices of youth in envisioning positive futures for nature and people

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    CITATION: Rana, S. et al. 2020. The voices of youth in envisioning positive futures for nature and people. Ecosystems and People, 16(1):326–344, doi:10.1080/26395916.2020.1821095.The original publication is available at https://www.tandfonline.comThe unpredictable Anthropocene poses the challenge of imagining a radically different, equitable and sustainable world. Looking 100 years ahead is not easy, and especially as millennials, it appears quite bleak. This paper is the outcome of a visioning exercise carried out in a 2-day workshop, attended by 33 young early career professionals under the auspices of IPBES. The process used Nature Futures Framework in an adapted visioning method from the Seeds of Good Anthropocene project. Four groups envisioned more desirable future worlds; where humanity has organised itself, the economy, politics and technology, to achieve improved nature-human well-being. The four visions had differing conceptualisations of this future. However, there were interesting commonalities in their leverage points for transformative change, including an emphasis on community, fundamentally different economic systems based on sharing and technological solutions to foster sustainability and human-nature connectedness. Debates included questioning the possibility of maintaining local biocultural diversity with increased connectivity globally and the prominence of technology for sustainability outcomes. These visions are the first step towards a wider galvanisation of youth visions for a brighter future, which is often missing in the arena where it can be taken seriously, to trigger more transformative pathways towards meeting global goals.Publisher's versio

    Anemia In Pregnant Adolescents: Impact Of Treatment On Perinatal Outcomes

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    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

    Generating Synthetic Missing Data: A Review by Missing Mechanism

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    The performance evaluation of imputation algorithms often involves the generation of missing values. Missing values can be inserted in only one feature (univariate con guration) or in several features (multivariate con guration) at different percentages (missing rates) and according to distinct missing mechanisms, namely, missing completely at random, missing at random, and missing not at random. Since the missing data generation process de nes the basis for the imputation experiments (con guration, missing rate, and missing mechanism), it is essential that it is appropriately applied; otherwise, conclusions derived from ill-de ned setups may be invalid. The goal of this paper is to review the different approaches to synthetic missing data generation found in the literature and discuss their practical details, elaborating on their strengths and weaknesses. Our analysis revealed that creating missing at random and missing not at random scenarios in datasets comprising qualitative features is the most challenging issue in the related work and, therefore, should be the focus of future work in the field

    How to classify BMI among pregnant adolescents? a prospective cohort

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    Pregnancy in adolescence is a global health issue, especially in developing countries. Additionally, the recommended gestational weight gain (GWG) is usually based on pre-pregnancy BMI and that might be complex for pregnant teens. The study objective was to compare three different methods of BMI classification and suggest the best way of determining pre-pregnancy BMI and monitoring GWG among pregnant adolescents. Pre-pregnancy weight, weight at first prenatal visit, height, sociodemographic, reproductive and perinatal data were collected. Weighted kappa and McNemar statistics were used to assess agreement between the classification methods. Prof. Dr Jose Aristodemo Pinotti Women's Hospital, University of Campinas, Brazil. Primiparas younger than 19 years of age and with less than 20 weeks of gestational age (n 150). BMI of the primiparas was determined according to the WHO recommendation for adult women, the Child Growth Standards (CGS) and their gynaecological age (GA). The WHO and GA measurements presented a strong agreement with each other (kappa(w)=0 center dot 99; 95 % CI 0 center dot 97, 1 center dot 00), but did not agree with the CGS classification (kappa(w)=0 center dot 62; 95 % CI 0 center dot 50, 0 center dot 74 by WHO; kappa(w)=0 center dot 62; 95 % CI 0 center dot 51, 0 center dot 74 by GA). Also, inadequate GWG was observed in 72 center dot 2 % of cases and was correlated with a higher rate of caesarean birth. BMI classification according to the CGS differed from WHO and GA. However, CGS and WHO agreed on perinatal outcomes. We recommend using BMI classification by WHO to assess pregnant adolescents, since it is easily applied and better known among health professionals22226527

    MANIFESTAÇÕES DA CONTRARREVOLUÇÃO MIGUELISTA NO BRASIL (1823-1834)

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