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      Factors associated with low birth weight at term: a population-based linkage study of the 100 million Brazilian cohort

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          Abstract

          Background

          Factors associated with low birth weight at term (TLBW), a proxy for intrauterine growth restriction (IUGR), are not well-elucidated in socioeconomically vulnerable populations. This study aimed to identify the factors associated with TLBW in impoverished Brazilian women.

          Methods

          Records in the 100 Million Brazilian Cohort database were linked to those in the National System of Information on Live Births (SINASC) to obtain obstetric, maternal, birth and socioeconomic data between 2001 and 2015. Multivariate logistic regression was performed to investigate associations between variables of exposure and TLBW.

          Results

          Of 8,768,930 term live births analyzed, 3.7% presented TLBW. The highest odds of TLBW were associated with female newborns (OR: 1.49; 95% CI: 1.47–1.50), whose mothers were black (OR: 1.20; 95% CI: 1.18–1.22), had a low educational level (OR: 1.57; 95% CI: 1.53–1.62), were aged ≥35 years (OR: 1.44; 95% CI: 1.43–1.46), had a low number of prenatal care visits (OR: 2.48; 95% CI: 2.42–2.54) and were primiparous (OR: 1.62; 95% CI: 1.60–1.64). Lower odds of TLBW were found among infants whose mothers lived in the North, Northeast and Center-West regions of Brazil compared to those in the South.

          Conclusion

          Multiple aspects were associated with TLBW, highlighting the need to comprehensively examine the mechanisms underlying these factors, especially in more vulnerable Brazilian populations, in order to contribute to the elaboration of health policies and promote better conditions of life for poor and extremely poor mothers and children.

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          Most cited references51

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          Maternal and child undernutrition and overweight in low-income and middle-income countries

          The Lancet, 382(9890), 427-451
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            Advanced maternal age and adverse perinatal outcome.

            The aim of this study was to investigate the influence of maternal age on perinatal and obstetric outcome in women aged 40-44 years and those 45 years or older and to estimate whether adverse outcome was related to intercurrent illness and pregnancy complications. National prospective, population-based, cohort study in women aged 40-44 years and those 45 years or older and in a control group of women aged 20-29 years who delivered during the period 1987-2001. Adjusted odds ratios (OR) were calculated after adjustments for significant malformations, maternal pre-existing diseases, and smoking. Main outcome measures were perinatal mortality, intrauterine fetal death, neonatal death, preterm birth, and preeclampsia. During the 15-year period, there were 1,566,313 deliveries (876,361 women were 20-29 years of age, 31,662 were 40-44 years, and 1,205 were > or = 45 years). Perinatal mortality was 1.4%, 1.0%, and 0.5% in women 45 years or older, 40-44, and 20-29 years, respectively. Adjusted OR for perinatal mortality was 2.4 (95% confidence interval [CI] 1.5-4.0) in women aged 45 years or older, compared with 1.7 (95% CI 1.5-1.9) in women 40-44 years. Adjusted OR for intrauterine fetal death was 3.8 (95% CI 2.2-6.4) in women aged 45 years or older, compared with 2.1 (95% CI 1.8-2.4) in women 40-44 years. Preterm birth, gestational diabetes, and preeclampsia were more common among women 40-44 years of age and those 45 years or older. Perinatal mortality was increased in women with intercurrent illness or pregnancy complications compared with women without these conditions, but there was no evidence that these factors became more important with increasing age. Perinatal mortality, intrauterine fetal death, and neonatal death increased with age. There was also an increase in intercurrent illnesses and pregnancy complications with increasing age, but this did not entirely explain the observed increase in perinatal mortality with age. II-3
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              On the importance--and the unimportance--of birthweight.

              Birthweight is one of the most accessible and most misunderstood variables in epidemiology. A baby's weight at birth is strongly associated with mortality risk during the first year and, to a lesser degree, with developmental problems in childhood and the risk of various diseases in adulthood. Epidemiological analyses often regard birthweight as on the causal pathway to these health outcomes. Under this assumption of causality, birthweight is used to explain variations in infant mortality and later morbidity, and is also used as an intermediate health endpoint in itself. Evidence presented here suggests the link between birthweight and health outcomes may not be causal. Methods of analysis that assume causality are unreliable at best, and biased at worst. The category of 'low birthweight' in particular is uninformative and seldom justified. The main utility of the birthweight distribution is to provide an estimate of the proportion of small preterm births in a population (although even this requires special analytical methods). While the ordinary approaches to birthweight are not well grounded, the links between birthweight and a range of health outcomes may nonetheless reflect the workings of biological mechanisms with implications for human health.
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                Author and article information

                Contributors
                falcao.ila@gmail.com
                Journal
                BMC Pregnancy Childbirth
                BMC Pregnancy Childbirth
                BMC Pregnancy and Childbirth
                BioMed Central (London )
                1471-2393
                14 September 2020
                14 September 2020
                2020
                : 20
                : 536
                Affiliations
                [1 ]GRID grid.8399.b, ISNI 0000 0004 0372 8259, School of Nutrition, , Federal University of Bahia, ; Salvador, Brazil
                [2 ]GRID grid.418068.3, ISNI 0000 0001 0723 0931, Center for Data and Knowledge Integration for Health (CIDACS), , Oswaldo Cruz Foundation, ; Salvador, Brazil
                [3 ]GRID grid.11899.38, ISNI 0000 0004 1937 0722, School of Public Health, , University of São Paulo, ; São Paulo, Brazil
                [4 ]GRID grid.8399.b, ISNI 0000 0004 0372 8259, Department of Statistics, Institute of Mathematics, , Federal University of Bahia, ; Salvador, Brazil
                [5 ]GRID grid.8991.9, ISNI 0000 0004 0425 469X, Epidemiology and Population Health, , London School of Hygiene and Tropical Medicine, ; London, UK
                [6 ]GRID grid.8399.b, ISNI 0000 0004 0372 8259, Institute of Collective Health, Federal University of Bahia, ; Salvador, Brazil
                Author information
                http://orcid.org/0000-0001-6961-3858
                Article
                3226
                10.1186/s12884-020-03226-x
                7491100
                32928144
                2c56ea18-a57d-4af6-b753-c8f62dd7e1ba
                © The Author(s) 2020

                Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 27 January 2020
                : 1 September 2020
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100000865, Bill and Melinda Gates Foundation;
                Award ID: Grant number 202912 / Z / 16 / Z
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100004440, Wellcome Trust;
                Award ID: 213589 / Z / 18 / Z
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100006181, Fundação de Amparo à Pesquisa do Estado da Bahia;
                Award ID: BOL2330 / 2016
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2020

                Obstetrics & Gynecology
                low birth weight,term birth,poor populations,cohort,linkage
                Obstetrics & Gynecology
                low birth weight, term birth, poor populations, cohort, linkage

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