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      Role of Body Mass Index and gestational weight gain on preterm birth and adverse perinatal outcomes

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          Abstract

          The association of body mass index (BMI) and gestational weight gain (GWG) with preterm birth (PTB) remains controversial in the literature. To evaluate different maternal BMI and GWG categories, according to the initial BMI, in relation to different PTB subtypes and perinatal outcomes, we conducted a secondary analysis of a multicentre cross-sectional study, along with a nested case-control study including PTB from 20 centers in Brazil. Pre-pregnancy underweight was associated with a lower risk of provider-initiated PTB, while overweight and obesity were associated with a higher risk of provider-initiated PTB and a lower risk of spontaneous preterm birth. Insufficient gestational weight gain was associated with a higher prevalence of spontaneous PTB and preterm premature rupture of membranes. Excessive GWG correlated with a higher prevalence of provider-initiated PTB or preterm premature rupture of membranes. Irrespective of the initial BMI, the greater the rate of GWG, the higher the predicted probability of all PTB subtypes, except for spontaneous PTB in underweight women and those with normal BMI. On multivariate analysis, the initial BMI was shown to be the only factor associated with pi-PTB. Briefly, further studies evaluating the risk for PTB should consider that GWG may have a different role depending on the initial BMI and PTB subtype.

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          Global, regional, and national prevalence of overweight and obesity in children and adults during 1980-2013: a systematic analysis for the Global Burden of Disease Study 2013.

          In 2010, overweight and obesity were estimated to cause 3·4 million deaths, 3·9% of years of life lost, and 3·8% of disability-adjusted life-years (DALYs) worldwide. The rise in obesity has led to widespread calls for regular monitoring of changes in overweight and obesity prevalence in all populations. Comparable, up-to-date information about levels and trends is essential to quantify population health effects and to prompt decision makers to prioritise action. We estimate the global, regional, and national prevalence of overweight and obesity in children and adults during 1980-2013. We systematically identified surveys, reports, and published studies (n=1769) that included data for height and weight, both through physical measurements and self-reports. We used mixed effects linear regression to correct for bias in self-reports. We obtained data for prevalence of obesity and overweight by age, sex, country, and year (n=19,244) with a spatiotemporal Gaussian process regression model to estimate prevalence with 95% uncertainty intervals (UIs). Worldwide, the proportion of adults with a body-mass index (BMI) of 25 kg/m(2) or greater increased between 1980 and 2013 from 28·8% (95% UI 28·4-29·3) to 36·9% (36·3-37·4) in men, and from 29·8% (29·3-30·2) to 38·0% (37·5-38·5) in women. Prevalence has increased substantially in children and adolescents in developed countries; 23·8% (22·9-24·7) of boys and 22·6% (21·7-23·6) of girls were overweight or obese in 2013. The prevalence of overweight and obesity has also increased in children and adolescents in developing countries, from 8·1% (7·7-8·6) to 12·9% (12·3-13·5) in 2013 for boys and from 8·4% (8·1-8·8) to 13·4% (13·0-13·9) in girls. In adults, estimated prevalence of obesity exceeded 50% in men in Tonga and in women in Kuwait, Kiribati, Federated States of Micronesia, Libya, Qatar, Tonga, and Samoa. Since 2006, the increase in adult obesity in developed countries has slowed down. Because of the established health risks and substantial increases in prevalence, obesity has become a major global health challenge. Not only is obesity increasing, but no national success stories have been reported in the past 33 years. Urgent global action and leadership is needed to help countries to more effectively intervene. Bill & Melinda Gates Foundation. Copyright © 2014 Elsevier Ltd. All rights reserved.
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            Early life risk factors for obesity in childhood: cohort study.

            To identify risk factors in early life (up to 3 years of age) for obesity in children in the United Kingdom. Prospective cohort study. Avon longitudinal study of parents and children, United Kingdom. 8234 children in cohort aged 7 years and a subsample of 909 children (children in focus) with data on additional early growth related risk factors for obesity. Obesity at age 7 years, defined as a body mass index (3) 95th centile relative to reference data for the UK population in 1990. Eight of 25 putative risk factors were associated with a risk of obesity in the final models: parental obesity (both parents: adjusted odds ratio, 10.44, 95% confidence interval 5.11 to 21.32), very early (by 43 months) body mass index or adiposity rebound (15.00, 5.32 to 42.30), more than eight hours spent watching television per week at age 3 years (1.55, 1.13 to 2.12), catch-up growth (2.60, 1.09 to 6.16), standard deviation score for weight at age 8 months (3.13, 1.43 to 6.85) and 18 months (2.65, 1.25 to 5.59); weight gain in first year (1.06, 1.02 to 1.10 per 100 g increase); birth weight, per 100 g (1.05, 1.03 to 1.07); and short (< 10.5 hours) sleep duration at age 3 years (1.45, 1.10 to 1.89). Eight factors in early life are associated with an increased risk of obesity in childhood.
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              Gestational weight gain across continents and ethnicity: systematic review and meta-analysis of maternal and infant outcomes in more than one million women

              Background The association between Institute of Medicine (IOM) guidelines and pregnancy outcomes across ethnicities is uncertain. We evaluated the associations of gestational weight gain (GWG) outside 2009 IOM guidelines, with maternal and infant outcomes across the USA, western Europe and east Asia, with subgroup analyses in Asia. The aim was to explore ethnic differences in maternal prepregnancy body mass index (BMI), GWG and health outcomes across these regions. Methods Systematic review, meta-analysis and meta-regression of observational studies were used for the study. MEDLINE, MEDLINE In-Process, Embase and all Evidence-Based Medicine (EBM) Reviews were searched from 1999 to 2017. Studies were stratified by prepregnancy BMI category and total pregnancy GWG. Odds ratio (ORs) 95% confidence intervals (CI) applied recommended GWG within each BMI category as the reference. Primary outcomes were small for gestational age (SGA), preterm birth and large for gestational age (LGA). Secondary outcomes were macrosomia, caesarean section and gestational diabetes. Results Overall, 5874 studies were identified and 23 were included (n = 1,309,136). Prepregnancy overweight/obesity in the USA, Europe and Asia was measured at 42%, 30% and 10% respectively, with underweight 5%, 3% and 17%. GWG below guidelines in the USA, Europe and Asia was 21%, 18% and 31%, and above was 51%, 51% and 37% respectively. Applying regional BMI categories in Asia showed GWG above guidelines (51%) was similar to that in the USA and Europe. GWG below guidelines was associated with a higher risk of SGA (USA/Europe [OR 1.51; CI 1.39, 1.63]; Asia [1.63; 1.45, 1.82]) and preterm birth (USA/Europe [1.35; 1.17, 1.56]; Asia [1.06; 0.78, 1.44]) than GWG within guidelines. GWG above guidelines was associated with a higher risk of LGA (USA/Europe [1.93; 1.81, 2.06]; Asia [1.68; 1.51 , 1.87]), macrosomia (USA/Europe [1.87; 1.70, 2.06]; Asia [2.18; 1.91, 2.49]) and caesarean (USA/Europe [1.26; 1.21, 1.33]; Asia [1.37; 1.30, 1.45]). Risks remained elevated when regional BMI categories were applied for GWG recommendations. More women in Asia were categorised as having GWG below guidelines using World Health Organization (WHO) (60%) compared to regional BMI categories (16%), yet WHO BMI was not accompanied by increased risks of adverse outcomes. Conclusions Women in the USA and western Europe have higher prepregnancy BMI and higher rates of GWG above guidelines than women in east Asia. However, when using regional BMI categories in east Asia, rates of GWG above guidelines are similar across the three continents. GWG outside guidelines is associated with adverse outcomes across all regions. If regional BMI categories are used in east Asia, IOM guidelines are applicable in the USA, western Europe and east Asia. Electronic supplementary material The online version of this article (10.1186/s12916-018-1128-1) contains supplementary material, which is available to authorized users.
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                Author and article information

                Contributors
                cecatti@unicamp.br
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                11 September 2019
                11 September 2019
                2019
                : 9
                : 13093
                Affiliations
                [1 ]ISNI 0000 0001 0723 2494, GRID grid.411087.b, Department of Obstetrics and Gynecology, School of Medical Sciences, , University of Campinas (UNICAMP), ; Campinas, SP Brazil
                [2 ]Department of Obstetrics and Gynecology, Jundiaí Medical School, Jundiaí, SP Brazil
                [3 ]ISNI 0000 0001 0723 2494, GRID grid.411087.b, Unit of Statistics, School of Medical Sciences, University of Campinas (UNICAMP), ; Campinas, Brazil
                [4 ]ISNI 0000 0001 0723 2494, GRID grid.411087.b, Department of Pediatrics, School of Medical Sciences, , University of Campinas (UNICAMP), ; Campinas, SP Brazil
                [5 ]ISNI 0000 0001 0514 7202, GRID grid.411249.b, Division of Neonatal Medicine, Escola Paulista de Medicina (EPM), Universidade Federal de São Paulo (UNIFESP), ; São Paulo, SP Brazil
                [6 ]ISNI 0000 0004 1937 0722, GRID grid.11899.38, Faculty of Medicine Ribeirão Preto, Universidade de São Paulo, ; São Paulo, Brazil
                [7 ]Maternity School, Assis Chateaubriand, Fortaleza, Ceará Brazil
                [8 ]ISNI 0000 0004 0417 6556, GRID grid.419095.0, Instituto de Medicina Integral Prof. Fernando Figueira, ; Recife, Pernambuco Brazil
                [9 ]ISNI 0000 0001 0670 7996, GRID grid.411227.3, Department of Mother and Child Health, School of Medicine, , Federal University of Pernambuco, ; Recife, Brazil
                [10 ]Instituto de Saúde Elpidio de Almeida, Campina Grande, Paraíba Brazil
                [11 ]ISNI 0000 0001 2165 7632, GRID grid.411204.2, Departmanet of Gynecology and Obstetrics, , Federal University of Maranhão (UFMA), ; São Luiz, MA Brazil
                [12 ]ISNI 0000 0004 0397 5145, GRID grid.411216.1, Federal University of Paraíba, ; João Pessoa, Paraíba Brazil
                [13 ]ISNI 0000 0001 1941 472X, GRID grid.20736.30, Federal University of Paraná, Curitiba, ; Paraná, Brazil
                [14 ]ISNI 0000 0004 0372 8259, GRID grid.8399.b, Federal University of Bahia, ; Salvador, Bahia Brazil
                [15 ]ISNI 0000 0001 2200 7498, GRID grid.8532.c, Federal University of Rio Grande do Sul, ; Porto Alegre, RS Brazil
                [16 ]ISNI 0000 0001 0723 0931, GRID grid.418068.3, Instituto Fernandes Figueira, ; Rio de Janeiro, RJ Brazil
                [17 ]ISNI 0000 0001 2188 478X, GRID grid.410543.7, Department of Gynecology and Obstetrics, , São Paulo State University, ; Botucatu, São Paulo Brazil
                [18 ]ISNI 0000 0001 0514 7202, GRID grid.411249.b, Department of Obstetrics, Paulista School of Medicine, , Federal University of São Paulo (EPM-UNIFESP), ; São Paulo, SP Brazil
                [19 ]Santa Casa de Limeira Hospital, Limeira, SP Brazil
                [20 ]Santa Casa de São Carlos Hospital, São Carlos, SP Brazil
                [21 ]Maternity Casa Maternal Leonor Mendes de Barros, São Paulo, SP Brazil
                [22 ]Maternity Escola de Vila Nova Cachoeirinha, São Paulo, SP Brazil
                [23 ]Hospital Estadual de Sumaré, Sumaré, SP Brazil
                Author information
                http://orcid.org/0000-0003-1285-8445
                Article
                49704
                10.1038/s41598-019-49704-x
                6739338
                31511664
                0644febf-fa95-417d-a382-1d6cb3dc946b
                © The Author(s) 2019

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 9 June 2017
                : 29 August 2019
                Funding
                Funded by: FundRef https://doi.org/10.13039/100000865, Bill and Melinda Gates Foundation (Bill &amp; Melinda Gates Foundation);
                Award ID: OPP1107597
                Award ID: OPP1107597
                Award ID: OPP1107597
                Award ID: OPP1107597
                Award ID: OPP1107597
                Award ID: OPP1107597
                Award ID: OPP1107597
                Award ID: OPP1107597
                Award ID: OPP1107597
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                Categories
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                © The Author(s) 2019

                Uncategorized
                weight management,risk factors
                Uncategorized
                weight management, risk factors

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