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      Birth by caesarean section and school performance in Swedish adolescents- a population-based study

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          Abstract

          Background

          Our objective was to assess the impact of obstetric mode of delivery, and in particular birth by Caesarean section (CS), on school performance in adolescents using a large, population-based cohort.

          Methods

          We extracted data from the Swedish Medical Birth Register and National School Register. We included all live singleton births in Sweden from 1982–1995 ( n = 1,489,925). School grades were reported on a scale from 0 to 320, scores less than 160 (i.e. “pass”) were considered to be “poor school performance.” Mode of delivery was categorised as: unassisted vaginal delivery (VD), assisted VD, elective CS and emergency CS. We measured the association between mode of delivery and “poor school performance” using logistic regression. We then used quantile regression to assess the association between mode of delivery and school performance across the distribution of scores. We adjusted for maternal age, parity, small and large for gestational age, gestational age, maternal country of birth, maternal depression, non-affective disorder or bipolar disorder, parental income at time of birth, and parental social welfare at time of birth. We also conducted sensitivity analyses to investigate the association further.

          Results

          With logistic regression analysis, the adjusted odds ratio (aOR) of assisted VD and poor school performance, compared to unassisted VD, was 1.06 (95% CI: 1.03–1.08). For elective CS it was 1.06 (95% CI:1.03-1.09) and for emergency CS it was 1.12 (95% CI: 1.09–1.15). With quantile regression, assisted VD showed little difference in scores, when compared to unassisted VD, at any point across the distribution. Elective CS was associated with a 1–3 point decrease in scores, and emergency CS was associated with a 2–5 point decrease in scores.

          Conclusion

          A slight association was found between birth by CS and school performance. However, the effect was quite small and given the complex nature of the relationship, should be interpreted with caution.

          Electronic supplementary material

          The online version of this article (doi:10.1186/s12884-017-1304-x) contains supplementary material, which is available to authorized users.

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          Most cited references31

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          Mind-altering microorganisms: the impact of the gut microbiota on brain and behaviour.

          Recent years have witnessed the rise of the gut microbiota as a major topic of research interest in biology. Studies are revealing how variations and changes in the composition of the gut microbiota influence normal physiology and contribute to diseases ranging from inflammation to obesity. Accumulating data now indicate that the gut microbiota also communicates with the CNS--possibly through neural, endocrine and immune pathways--and thereby influences brain function and behaviour. Studies in germ-free animals and in animals exposed to pathogenic bacterial infections, probiotic bacteria or antibiotic drugs suggest a role for the gut microbiota in the regulation of anxiety, mood, cognition and pain. Thus, the emerging concept of a microbiota-gut-brain axis suggests that modulation of the gut microbiota may be a tractable strategy for developing novel therapeutics for complex CNS disorders.
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            DAGitty: a graphical tool for analyzing causal diagrams.

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              Use of the Robson classification to assess caesarean section trends in 21 countries: a secondary analysis of two WHO multicountry surveys.

              Rates of caesarean section surgery are rising worldwide, but the determinants of this increase, especially in low-income and middle-income countries, are controversial. In this study, we aimed to analyse the contribution of specific obstetric populations to changes in caesarean section rates, by using the Robson classification in two WHO multicountry surveys of deliveries in health-care facilities. The Robson system classifies all deliveries into one of ten groups on the basis of five parameters: obstetric history, onset of labour, fetal lie, number of neonates, and gestational age.
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                Author and article information

                Contributors
                eacurra@gmail.com
                l.kenny@ucc.ie
                Christina.dalman@ki.se
                patricia.kearne@ucc.ie
                j.cryan@ucc.ie
                t.dinan@ucc.ie
                +353-21-490-3000 , a.khashan@ucc.ie
                Journal
                BMC Pregnancy Childbirth
                BMC Pregnancy Childbirth
                BMC Pregnancy and Childbirth
                BioMed Central (London )
                1471-2393
                17 April 2017
                17 April 2017
                2017
                : 17
                : 121
                Affiliations
                [1 ]ISNI 0000000123318773, GRID grid.7872.a, Department of Obstetrics and Gynaecology, The Irish Centre for Fetal and Neonatal Translational Research (INFANT), , University College Cork, ; Cork, Ireland
                [2 ]ISNI 0000 0004 1937 0626, GRID grid.4714.6, Department of Public Health Sciences, Division of Public Health Epidemiology, , Karolinska Institutet, ; Stockholm, Sweden
                [3 ]ISNI 0000000123318773, GRID grid.7872.a, Department of Epidemiology and Public Health, , University College Cork, ; Cork, Ireland
                [4 ]ISNI 0000000123318773, GRID grid.7872.a, Department of Anatomy and Neuroscience, APC Microbiome Institute, , University College Cork, ; Cork, Ireland
                [5 ]ISNI 0000000123318773, GRID grid.7872.a, Department of Psychiatry, APC Microbiome Institute, , University College Cork, ; Cork, Ireland
                Article
                1304
                10.1186/s12884-017-1304-x
                5392943
                28415966
                8dec5b27-e65c-42f5-9def-21949d993520
                © The Author(s). 2017

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 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.

                History
                : 9 January 2017
                : 7 April 2017
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100001602, Science Foundation Ireland;
                Award ID: 12|RC|2272
                Award Recipient :
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2017

                Obstetrics & Gynecology
                caesarean section: school performance,cohort study,quantile regression

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