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      A data driven approach to identify trajectories of prenatal alcohol consumption in an Australian population-based cohort of pregnant women

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          Abstract

          Accurate information on dose, frequency and timing of maternal alcohol consumption is critically important when investigating fetal risks from prenatal alcohol exposure. Identification of distinct alcohol use behaviours can also assist in developing directed public health messages about possible adverse child outcomes, including Fetal Alcohol Spectrum Disorder. We aimed to determine group-based trajectories of time-specific, unit-level, alcohol consumption using data from 1458 pregnant women in the Asking Questions about Alcohol in Pregnancy (AQUA) longitudinal study in Melbourne, Australia. Six alcohol consumption trajectories were identified incorporating four timepoints across gestation. Labels were assigned based on consumption in trimester one and whether alcohol use was continued throughout pregnancy: abstained (33.8%); low discontinued (trimester one) (14.4%); moderate discontinued (11.7%); low sustained (13.0%); moderate sustained (23.5%); and high sustained (3.6%). Median weekly consumption in trimester one ranged from 3 g ( low discontinued) to 184 g of absolute alcohol ( high sustained). Alcohol use after pregnancy recognition decreased dramatically for all sustained drinking trajectories, indicating some awareness of risk to the unborn child. Further, specific maternal characteristics were associated with different trajectories, which may inform targeted health promotion aimed at reducing alcohol use in pregnancy.

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          Group-based trajectory modeling in clinical research.

          Group-based trajectory models are increasingly being applied in clinical research to map the developmental course of symptoms and assess heterogeneity in response to clinical interventions. In this review, we provide a nontechnical overview of group-based trajectory and growth mixture modeling alongside a sampling of how these models have been applied in clinical research. We discuss the challenges associated with the application of both types of group-based models and propose a set of preliminary guidelines for applied researchers to follow when reporting model results. Future directions in group-based modeling applications are discussed, including the use of trajectory models to facilitate causal inference when random assignment to treatment condition is not possible.
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            An entropy criterion for assessing the number of clusters in a mixture model

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              The association of mild, moderate, and binge prenatal alcohol exposure and child neuropsychological outcomes: a meta-analysis.

              The objective of this review is to evaluate the literature on the association between mild, moderate, and binge prenatal alcohol exposure and child neurodevelopment. Meta-analysis with systematic searches of MEDLINE (1970 through August 2012), EMBASE (1988 through August 2012), and PsycINFO(®) (1970 through August 2012) and examination of selected references. From 1,593 articles, we identified 34 presenting data from cohort studies that met our inclusion criteria. Information on study population, outcomes, measurement instruments, timing and quantification of alcohol exposure, covariates, and results was abstracted. Outcomes included academic performance, attention, behavior, cognition, language skills, memory, and visual and motor development. The quality of each article was assessed by 2 researchers using the Newcastle-Ottawa Scale. Based on 8 studies of 10,000 children aged 6 months through 14 years, we observed a significant detrimental association between any binge prenatal alcohol exposure and child cognition (Cohen's d [a standardized mean difference score] -0.13; 95% confidence interval [CI], -0.21, -0.05). Based on 3 high-quality studies of 11,900 children aged 9 months to 5 years, we observed a statistically significant detrimental association between moderate prenatal alcohol exposure and child behavior (Cohen's d -0.15; 95% CI, -0.28, -0.03). We observed a significant, albeit small, positive association between mild-to-moderate prenatal alcohol exposure and child cognition (Cohen's d 0.04; 95% CI, 0.00, 0.08), but the association was not significant after post hoc exclusion of 1 large study that assessed mild consumption nor was it significant when including only studies that assessed moderate alcohol consumption. None of the other completed meta-analyses resulted in statistically significant associations between mild, moderate, or binge prenatal alcohol exposure and child neuropsychological outcomes. Our findings support previous findings suggesting the detrimental effects of prenatal binge drinking on child cognition. Prenatal alcohol exposure at levels less than daily drinking might be detrimentally associated with child behavior. The results of this review highlight the importance of abstaining from binge drinking during pregnancy and provide evidence that there is no known safe amount of alcohol to consume while pregnant. © Published 2013. This article is a U.S. Government work and is in the public domain in the U.S.A.
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                Author and article information

                Contributors
                peter.j.anderson@monash.edu
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                14 March 2022
                14 March 2022
                2022
                : 12
                : 4353
                Affiliations
                [1 ]GRID grid.1058.c, ISNI 0000 0000 9442 535X, Murdoch Children’s Research Institute, ; Parkville, VIC Australia
                [2 ]GRID grid.1008.9, ISNI 0000 0001 2179 088X, Department of Paediatrics, , The University of Melbourne, ; Parkville, VIC Australia
                [3 ]GRID grid.1013.3, ISNI 0000 0004 1936 834X, Child and Adolescent Health, Faculty of Medicine and Health, , The University of Sydney, ; Sydney, NSW Australia
                [4 ]GRID grid.430417.5, ISNI 0000 0004 0640 6474, Sydney Children’s Hospitals Network, ; Westmead, Sydney, NSW Australia
                [5 ]GRID grid.1008.9, ISNI 0000 0001 2179 088X, Department of Physiotherapy, , The University of Melbourne, ; VIC, Australia
                [6 ]GRID grid.1018.8, ISNI 0000 0001 2342 0938, Judith Lumley Centre, School of Nursing and Midwifery, , SHE College, La Trobe University, ; Bundoora, VIC Australia
                [7 ]GRID grid.416259.d, ISNI 0000 0004 0386 2271, The Royal Women’s Hospital, ; Parkville, VIC Australia
                [8 ]GRID grid.1002.3, ISNI 0000 0004 1936 7857, Turner Institute for Brain and Mental Health, , Monash University, ; Clayton, VIC 3800 Australia
                Article
                8190
                10.1038/s41598-022-08190-4
                8921195
                35288617
                90918376-ab1e-4e8c-9e48-5876d85b5c4e
                © The Author(s) 2022

                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 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/.

                History
                : 28 July 2021
                : 9 February 2022
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100000925, National Health and Medical Research Council;
                Award ID: 1446635
                Award ID: 1446635
                Award ID: 1446635
                Award ID: 1021480
                Award ID: 1160003
                Award ID: 1159533
                Award ID: 1176077
                Award Recipient :
                Funded by: Medical Research Futures Fund
                Award ID: 1135959
                Award Recipient :
                Categories
                Article
                Custom metadata
                © The Author(s) 2022

                Uncategorized
                public health,epidemiology,paediatric research,health services,health policy,scientific data,statistics

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