Validade de peso, estatura e IMC referidos por puérperas do estudo Nascer no Brasil

OBJETIVO: Avaliar a acurácia das informações de peso pré-gestacional, estatura, índice de massa corporal pré-gestacional e peso na última consulta de pré-natal, segundo características maternas, variáveis sociodemográficas e de pré-natal. MÉTODOS: O estudo foi desenvolvido com dados do questionário face a face e do cartão da gestante (padrão-ouro) do estudo “Nascer no Brasil, 2011–2012”. Para avaliar as diferenças entre as variáveis antropométricas medidas e referidas, utilizou-se o teste de Kruskal-Wallis para as variáveis dividas em quartis. Para as variáveis contínuas, adotou-se o teste de Wilcoxon, gráficos de Bland e Altman, diferença média entre as informações medidas e referidas pelas mulheres. Estimou-se a sensibilidade e o coeficiente de correlação intraclasse. RESULTADOS: No estudo, 17.093 mulheres possuíam cartão de gestante. Observou-se uma subestimação do peso pré-gestacional em 1,51 kg (DP = 3,44) e do índice de massa corporal em 0,79 kg/m2 (DP = 1,72), e superestimação da estatura em 0,75 cm (DP = 3,03) e do peso na última consulta em 0,22 kg (DP = 2,09). Os coeficientes de correlação intraclasse (CCIC) obtidos para as variáveis antropométricas foram: estatura (CCIC = 0,89), peso pré-gestacional (CCIC = 0,96), índice de massa corporal pré-gestacional (CCIC = 0,92) e peso na última consulta (CCIC = 0,98). CONCLUSÕES: Os resultados sugerem que as variáveis antropométricas referidas foram válidas para a população de estudo, e podem ser utilizadas em estudos com populações que tenham características semelhantes.OBJECTIVE: To evaluate the accuracy of information on pre-gestational weight, height, pre-gestational body mass index, and weight at the last prenatal appointment, according to maternal characteristics and sociodemographic and prenatal variables. METHODS: The study was developed using data from the face-to-face questionnaire and prenatal card (gold standard) of the study “Birth in Brazil, 2011–2012”. To evaluate the differences between the measured and self-reported anthropometric variables, we used the the Kruskal-Wallis test for the variables divided into quartiles. For the continuous variables, we used the Wilcoxon test, Bland-Altman plot, and average difference between the information measured and reported by the women. We estimated sensitivity and the intraclass correlation coefficient. RESULTS: In the study, 17,093 women had the prenatal card. There was an underestimation of pre-gestational weight of 1.51 kg (SD = 3.44) and body mass index of 0.79 kg/m2 (SD = 1.72) andoverestimation of height of 0.75 cm (SD = 3.03) and weight at the last appointment of 0.22 kg (SD = 2.09). The intraclass correlation coefficients (ICC) obtained for the anthropometric variables were: height (ICC = 0.89), pre-gestational weight (ICC = 0.96), pre-gestational body mass index (ICC = 0.92), and weight at the last appointment (ICC = 0.98). CONCLUSIONS: The results suggest that the mentioned anthropometric variables were valid for the study population, and they may be used in studies of populations with similar characteristics

Diferentes métodos para avaliação do ganho de peso gestacional e sua associação com o peso ao nascer

Objective: To analyze different methods of assessment gestational weight gain in identifying women with a greater chance of live births small for gestational age (SGA) and large for gestational age (LGA). Methods: Cross-sectional study, with adult women, pregestational BMI normal, single pregnancy and gestational age at delivery ≥28 weeks, from Birth in Brazil study, between 2011 and 2012. Results: In the 11,000 women in the study, the prevalence of excessive weight gain was 33.1% for Brandão and IOM and Intergrowth 21st . 37.9%. The chance of being born SGA for insufficient weight gain was OR=1.52 (95%CI 1.06;2.19), OR=1.52 (95%CI 1.05;2.20) and OR=1.56 (95%CI 1.06;2.30) for Brandão, IOM and Intergrowth, respectively. Excessive gain, in the same methods, presented OR=1.53 (95%CI 1.28;1.82), OR=1.57 (95%CI 1.31;1.87) and OR=1.65 (95%CI 1.40;1.96) for LGA. Conclusion: compared to the recommendations of the IOM, Intergrowth and Brandão present themselves as alternatives in the identification of SGA and LGA.Objetivo: Analisar a associação de diferentes métodos para avaliação do ganho de peso gestacional com nascidos vivos pequenos para idade gestacional (PIG) ou grandes para idade gestacional (GIG). Métodos: Estudo transversal, com mulheres adultas, IMC prégestacional de eutrofia, gestação única e idade gestacional no parto ≥28 semanas, da pesquisa ‘Nascer no Brasil’, em 2011-2012. Resultados: Participaram do estudo 11.000 mulheres; a prevalência de ganho excessivo foi de 33,1% segundo os métodos Brandão et al. e IOM, e 37,9% segundo Intergrowth 21st. A chance de nascer PIG para ganho de peso insuficiente foi de OR=1,52 (IC95% 1,06;2,19), OR=1,52 (IC95% 1,05;2,20) e OR=1,56 (IC95% 1,06;2,30) para Brandão et al., IOM e Intergrowth 21st , respectivamente, enquanto o ganho de peso excessivo apresentou OR=1,53 (IC95% 1,28;1,82), OR=1,57 (IC95% 1,31;1,87) e OR=1,65 (IC95% 1,40;1,96), respectivamente. Conclusão: Comparados às recomendações do IOM, Intergrowth 21st e Brandão et al. apresentam-se como alternativas para identificar PIG e GIG

Accuracy of measurements of weight and height self-reported by mothers study Born in Brazil

Submitted by Repositório Arca ([email protected]) on 2019-12-23T14:17:47Z No. of bitstreams: 2 license.txt: 1748 bytes, checksum: 8a4605be74aa9ea9d79846c1fba20a33 (MD5) roberta_gabriela_pimenta_da_silva.pdf: 8535523 bytes, checksum: 0b13cbb53fcf05fe6963d65c2a29c3c6 (MD5)Approved for entry into archive by Ana Maria Souza dos Santos ([email protected]) on 2020-03-05T13:48:03Z (GMT) No. of bitstreams: 2 roberta_gabriela_pimenta_da_silva.pdf: 8535523 bytes, checksum: 0b13cbb53fcf05fe6963d65c2a29c3c6 (MD5) license.txt: 1748 bytes, checksum: 8a4605be74aa9ea9d79846c1fba20a33 (MD5)Made available in DSpace on 2020-03-05T13:48:03Z (GMT). No. of bitstreams: 2 roberta_gabriela_pimenta_da_silva.pdf: 8535523 bytes, checksum: 0b13cbb53fcf05fe6963d65c2a29c3c6 (MD5) license.txt: 1748 bytes, checksum: 8a4605be74aa9ea9d79846c1fba20a33 (MD5) Previous issue date: 2015Fundação Oswaldo Cruz. Escola Nacional de Saúde Pública Sergio Arouca. Rio de Janeiro, RJ, Brasil.Objetivo: Avaliar a acurácia das informações de peso pré-gestacional, estatura, índice de massa corporal (IMC) pré-gestacional e peso na última consulta de prénatal, segundo características maternas, variáveis sociodemográficas e de pré-natal. Métodos: O estudo foi desenvolvido com dados do questionário face a face e do cartão da gestante (padrão-ouro) do estudo “Nascer no Brasil, 2011 – 2012”. Para avaliar as diferenças entre as variáveis medidas e referidas, utilizou-se o teste de Kruskal-Wallis para as variáveis dividas em quartis e para as variáveis contínuas, adotou-se o teste de Wilcoxon, gráficos de Bland & Altman, diferença média entre as informações medidas e referidas pelas mulheres, sensibilidade e coeficiente de correlação intraclasse (CCIC). Resultados: Houve uma a tendência a subestimação do peso pré-gestacional em 1,51kg (DP=3,4) e para o IMC em 0,8kg/m2 (DP=1,7) e superestimação da estatura em 0,75 cm (DP=3,0) e do peso na última consulta em 0,2 kg (DP=2,1). O coeficiente de correlação intraclasse para estatura obtido foi CCIC=0,89, peso pré-gestacional 0,96, IMC pré-gestacional 0,92 e peso na última consulta foi de 0,98. Conclusão: Os resultados aqui encontrados mostraram que os as variáveis antropométricas referidas foram válidos para a população de estudo, e podem ser utilizados em estudos com populações que tenham características semelhantes.Objective: This study assesses the accuracy of self-report of pregravid weight, height, pregravid body mass index (BMI) and weight at the last prenatal visit, according to maternal characteristics, socio-demographic and prenatal variables. Methods: The informations was obtained from a national hospital-based survey “Birth in Brazil, 2011 – 2012” with postpartum women through face to face questionnaire and prenatal card (gold standard). To evaluate the differences between the variables measured and reported, we used the Kruskal-Wallis test for variables divided into quartiles and for continuous variables, we adopted the Wilcoxon test, Bland & Altman, mean differences between the measured variables and self-reported by the women, sensitivity and intraclass correlation coefficient (ICC). Results: There was a tendency to women underestimate the pregravid weight 1,51kg (SD = ± 3.4) and BMI at 0.8kg/m2 (SD = ± 1.7) and a tendency to overestimate the height by 0.75 cm (SD = ± 3.0) and the weight at the last prenatal visit on 0.2 kg (SD = ± 2.1). The sensitivity was satisfactory for the study variables. The intraclass correlation coefficient for height obtained ICC = 0.89, pregravid weight ICC = 0.96, pregravid BMI ICC = 0.92 and weight at the last visit was ICC = 0.98. Conclusion: The present results indicated that anthropometric variables mentioned were valid for the study population, and can be used in studies of populations that have similar characteristics

Validity of self-reported weight, height, and BMI in mothers of the research Birth in Brazil

<div><p>ABSTRACT OBJECTIVE To evaluate the accuracy of information on pre-gestational weight, height, pre-gestational body mass index, and weight at the last prenatal appointment, according to maternal characteristics and sociodemographic and prenatal variables. METHODS The study was developed using data from the face-to-face questionnaire and prenatal card (gold standard) of the study “Birth in Brazil, 2011–2012”. To evaluate the differences between the measured and self-reported anthropometric variables, we used the the Kruskal-Wallis test for the variables divided into quartiles. For the continuous variables, we used the Wilcoxon test, Bland-Altman plot, and average difference between the information measured and reported by the women. We estimated sensitivity and the intraclass correlation coefficient. RESULTS In the study, 17,093 women had the prenatal card. There was an underestimation of pre-gestational weight of 1.51 kg (SD = 3.44) and body mass index of 0.79 kg/m2 (SD = 1.72) and overestimation of height of 0.75 cm (SD = 3.03) and weight at the last appointment of 0.22 kg (SD = 2.09). The intraclass correlation coefficients (ICC) obtained for the anthropometric variables were: height (ICC = 0.89), pre-gestational weight (ICC = 0.96), pre-gestational body mass index (ICC = 0.92), and weight at the last appointment (ICC = 0.98). CONCLUSIONS The results suggest that the mentioned anthropometric variables were valid for the study population, and they may be used in studies of populations with similar characteristics.</p></div

Validity of self-reported weight, height, and BMI in mothers of the research Birth in Brazil

<div><p>ABSTRACT OBJECTIVE To evaluate the accuracy of information on pre-gestational weight, height, pre-gestational body mass index, and weight at the last prenatal appointment, according to maternal characteristics and sociodemographic and prenatal variables. METHODS The study was developed using data from the face-to-face questionnaire and prenatal card (gold standard) of the study “Birth in Brazil, 2011–2012”. To evaluate the differences between the measured and self-reported anthropometric variables, we used the the Kruskal-Wallis test for the variables divided into quartiles. For the continuous variables, we used the Wilcoxon test, Bland-Altman plot, and average difference between the information measured and reported by the women. We estimated sensitivity and the intraclass correlation coefficient. RESULTS In the study, 17,093 women had the prenatal card. There was an underestimation of pre-gestational weight of 1.51 kg (SD = 3.44) and body mass index of 0.79 kg/m2 (SD = 1.72) and overestimation of height of 0.75 cm (SD = 3.03) and weight at the last appointment of 0.22 kg (SD = 2.09). The intraclass correlation coefficients (ICC) obtained for the anthropometric variables were: height (ICC = 0.89), pre-gestational weight (ICC = 0.96), pre-gestational body mass index (ICC = 0.92), and weight at the last appointment (ICC = 0.98). CONCLUSIONS The results suggest that the mentioned anthropometric variables were valid for the study population, and they may be used in studies of populations with similar characteristics.</p></div

Gestational weight gain and adverse maternal outcomes in Brazilian women according to body mass index categories: An analysis of data from the Birth in Brazil survey

Background & aims: Monitoring gestational weight gain (GWG) is relevant for perinatal outcomes, especially in the context of increasing obesity and overweight in the female population. This study analyses the association between GWG in Brazilian women, according to different body mass index (BMI) categories, and different outcomes, including hypertensive disorders of pregnancy (HDP), gestational diabetes (GD) and caesarean section. Methods: Data on women from all the major regions of Brazil with a single pregnancy of a gestational age of 28 weeks or more and information available for anthropometric evaluation were included in the Birth in Brazil survey. Adequacy of GWG was assessed according to the percentile distribution of GWG of women with favourable neonatal outcomes, with the median of the distribution referred to as 100% adequacy in the GWG evaluation. Results: The study consisted of 18,953 women, 58.3% of whom were normal weight and 35.1% were overweight. The adequacy of GWG was better amongst the normal weight women (91.1%) and worse amongst those with class III obesity (46.0% with excessive GWG), with the latter showing the highest occurrence of adverse outcomes. Results of the multivariate logistic regression analysis revealed that weight gain above 200% of the median in the normal weight, overweight and obese women was positively associated with HDP and caesarean section, but not with GD. Conclusions: The proposed ranges of appropriate GWG associated with favourable neonatal outcomes based on the data from the Birth in Brazil survey proved good predictors of HDP and caesarean section amongst the women included in the study.Fil: Brandão, Thelma. Universidade Federal do Rio de Janeiro; BrasilFil: de Carvalho Padilha, Patricia. Universidade Federal do Rio de Janeiro; BrasilFil: Granado Nogueira da Gama, Silvana. Fundación Oswaldo Cruz; BrasilFil: do Carmo Leal, Maria. Fundación Oswaldo Cruz; BrasilFil: Gabriela Pimenta da Silva Araújo, Roberta. Fundación Oswaldo Cruz; BrasilFil: Cavalcante de Barros, Denise. Fundación Oswaldo Cruz; BrasilFil: Esteves Pereira, Ana Paula. Fundación Oswaldo Cruz; BrasilFil: dos Santos, Karina. Universidade Federal do Rio de Janeiro; BrasilFil: Belizan, Jose. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Investigaciones en Epidemiología y Salud Pública. Instituto de Efectividad Clínica y Sanitaria. Centro de Investigaciones en Epidemiología y Salud Pública; ArgentinaFil: Saunders, Cláudia. Universidade Federal do Rio de Janeiro; Brasi

Núcleos de Ensino da Unesp: artigos 2008

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq

Brazilian Flora 2020: Leveraging the power of a collaborative scientific network

International audienceThe shortage of reliable primary taxonomic data limits the description of biological taxa and the understanding of biodiversity patterns and processes, complicating biogeographical, ecological, and evolutionary studies. This deficit creates a significant taxonomic impediment to biodiversity research and conservation planning. The taxonomic impediment and the biodiversity crisis are widely recognized, highlighting the urgent need for reliable taxonomic data. Over the past decade, numerous countries worldwide have devoted considerable effort to Target 1 of the Global Strategy for Plant Conservation (GSPC), which called for the preparation of a working list of all known plant species by 2010 and an online world Flora by 2020. Brazil is a megadiverse country, home to more of the world's known plant species than any other country. Despite that, Flora Brasiliensis, concluded in 1906, was the last comprehensive treatment of the Brazilian flora. The lack of accurate estimates of the number of species of algae, fungi, and plants occurring in Brazil contributes to the prevailing taxonomic impediment and delays progress towards the GSPC targets. Over the past 12 years, a legion of taxonomists motivated to meet Target 1 of the GSPC, worked together to gather and integrate knowledge on the algal, plant, and fungal diversity of Brazil. Overall, a team of about 980 taxonomists joined efforts in a highly collaborative project that used cybertaxonomy to prepare an updated Flora of Brazil, showing the power of scientific collaboration to reach ambitious goals. This paper presents an overview of the Brazilian Flora 2020 and provides taxonomic and spatial updates on the algae, fungi, and plants found in one of the world's most biodiverse countries. We further identify collection gaps and summarize future goals that extend beyond 2020. Our results show that Brazil is home to 46,975 native species of algae, fungi, and plants, of which 19,669 are endemic to the country. The data compiled to date suggests that the Atlantic Rainforest might be the most diverse Brazilian domain for all plant groups except gymnosperms, which are most diverse in the Amazon. However, scientific knowledge of Brazilian diversity is still unequally distributed, with the Atlantic Rainforest and the Cerrado being the most intensively sampled and studied biomes in the country. In times of “scientific reductionism”, with botanical and mycological sciences suffering pervasive depreciation in recent decades, the first online Flora of Brazil 2020 significantly enhanced the quality and quantity of taxonomic data available for algae, fungi, and plants from Brazil. This project also made all the information freely available online, providing a firm foundation for future research and for the management, conservation, and sustainable use of the Brazilian funga and flora