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Weighting of risk factors for low birth weight: a linked routine data cohort study in Wales, UK

OBJECTIVE: Globally, 20 million children are born with a birth weight below 2500 g every year, which is considered as a low birthweight (LBW) baby. This study investigates the contribution of modifiable risk factors in a nationally representative Welsh e-cohort of children and their mothers to infor...

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Autores principales: Bandyopadhyay, Amrita, Jones, Hope, Parker, Michael, Marchant, Emily, Evans, Julie, Todd, Charlotte, Rahman, Muhammad A, Healy, James, Win, Tint Lwin, Rowe, Ben, Moore, Simon, Jones, Angela, Brophy, Sinead
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9923297/
https://www.ncbi.nlm.nih.gov/pubmed/36764720
http://dx.doi.org/10.1136/bmjopen-2022-063836
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author Bandyopadhyay, Amrita
Jones, Hope
Parker, Michael
Marchant, Emily
Evans, Julie
Todd, Charlotte
Rahman, Muhammad A
Healy, James
Win, Tint Lwin
Rowe, Ben
Moore, Simon
Jones, Angela
Brophy, Sinead
author_facet Bandyopadhyay, Amrita
Jones, Hope
Parker, Michael
Marchant, Emily
Evans, Julie
Todd, Charlotte
Rahman, Muhammad A
Healy, James
Win, Tint Lwin
Rowe, Ben
Moore, Simon
Jones, Angela
Brophy, Sinead
author_sort Bandyopadhyay, Amrita
collection PubMed
description OBJECTIVE: Globally, 20 million children are born with a birth weight below 2500 g every year, which is considered as a low birthweight (LBW) baby. This study investigates the contribution of modifiable risk factors in a nationally representative Welsh e-cohort of children and their mothers to inform opportunities to reduce LBW prevalence. DESIGN: A longitudinal cohort study based on anonymously linked, routinely collected multiple administrative data sets. PARTICIPANTS: The cohort, (N=693 377) comprising of children born between 1 January 1998 and 31 December 2018 in Wales, was selected from the National Community Child Health Database. OUTCOME MEASURES: The risk factors associated with a binary LBW (outcome) variable were investigated with multivariable logistic regression (MLR) and decision tree (DT) models. RESULTS: The MLR model showed that non-singleton children had the highest risk of LBW (adjusted OR 21.74 (95% CI 21.09 to 22.40)), followed by pregnancy interval less than 1 year (2.92 (95% CI 2.70 to 3.15)), maternal physical and mental health conditions including diabetes (2.03 (1.81 to 2.28)), anaemia (1.26 (95% CI 1.16 to 1.36)), depression (1.58 (95% CI 1.43 to 1.75)), serious mental illness (1.46 (95% CI 1.04 to 2.05)), anxiety (1.22 (95% CI 1.08 to 1.38)) and use of antidepressant medication during pregnancy (1.92 (95% CI 1.20 to 3.07)). Additional maternal risk factors include smoking (1.80 (95% CI 1.76 to 1.84)), alcohol-related hospital admission (1.60 (95% CI 1.30 to 1.97)), substance misuse (1.35 (95% CI 1.29 to 1.41)) and evidence of domestic abuse (1.98 (95% CI 1.39 to 2.81)). Living in less deprived area has lower risk of LBW (0.70 (95% CI 0.67 to 0.72)). The most important risk factors from the DT models include maternal factors such as smoking, maternal weight, substance misuse record, maternal age along with deprivation—Welsh Index of Multiple Deprivation score, pregnancy interval and birth order of the child. CONCLUSION: Resources to reduce the prevalence of LBW should focus on improving maternal health, reducing preterm births, increasing awareness of what is a sufficient pregnancy interval, and to provide adequate support for mothers’ mental health and well-being.
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spelling pubmed-99232972023-02-14 Weighting of risk factors for low birth weight: a linked routine data cohort study in Wales, UK Bandyopadhyay, Amrita Jones, Hope Parker, Michael Marchant, Emily Evans, Julie Todd, Charlotte Rahman, Muhammad A Healy, James Win, Tint Lwin Rowe, Ben Moore, Simon Jones, Angela Brophy, Sinead BMJ Open Epidemiology OBJECTIVE: Globally, 20 million children are born with a birth weight below 2500 g every year, which is considered as a low birthweight (LBW) baby. This study investigates the contribution of modifiable risk factors in a nationally representative Welsh e-cohort of children and their mothers to inform opportunities to reduce LBW prevalence. DESIGN: A longitudinal cohort study based on anonymously linked, routinely collected multiple administrative data sets. PARTICIPANTS: The cohort, (N=693 377) comprising of children born between 1 January 1998 and 31 December 2018 in Wales, was selected from the National Community Child Health Database. OUTCOME MEASURES: The risk factors associated with a binary LBW (outcome) variable were investigated with multivariable logistic regression (MLR) and decision tree (DT) models. RESULTS: The MLR model showed that non-singleton children had the highest risk of LBW (adjusted OR 21.74 (95% CI 21.09 to 22.40)), followed by pregnancy interval less than 1 year (2.92 (95% CI 2.70 to 3.15)), maternal physical and mental health conditions including diabetes (2.03 (1.81 to 2.28)), anaemia (1.26 (95% CI 1.16 to 1.36)), depression (1.58 (95% CI 1.43 to 1.75)), serious mental illness (1.46 (95% CI 1.04 to 2.05)), anxiety (1.22 (95% CI 1.08 to 1.38)) and use of antidepressant medication during pregnancy (1.92 (95% CI 1.20 to 3.07)). Additional maternal risk factors include smoking (1.80 (95% CI 1.76 to 1.84)), alcohol-related hospital admission (1.60 (95% CI 1.30 to 1.97)), substance misuse (1.35 (95% CI 1.29 to 1.41)) and evidence of domestic abuse (1.98 (95% CI 1.39 to 2.81)). Living in less deprived area has lower risk of LBW (0.70 (95% CI 0.67 to 0.72)). The most important risk factors from the DT models include maternal factors such as smoking, maternal weight, substance misuse record, maternal age along with deprivation—Welsh Index of Multiple Deprivation score, pregnancy interval and birth order of the child. CONCLUSION: Resources to reduce the prevalence of LBW should focus on improving maternal health, reducing preterm births, increasing awareness of what is a sufficient pregnancy interval, and to provide adequate support for mothers’ mental health and well-being. BMJ Publishing Group 2023-02-10 /pmc/articles/PMC9923297/ /pubmed/36764720 http://dx.doi.org/10.1136/bmjopen-2022-063836 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/.
spellingShingle Epidemiology
Bandyopadhyay, Amrita
Jones, Hope
Parker, Michael
Marchant, Emily
Evans, Julie
Todd, Charlotte
Rahman, Muhammad A
Healy, James
Win, Tint Lwin
Rowe, Ben
Moore, Simon
Jones, Angela
Brophy, Sinead
Weighting of risk factors for low birth weight: a linked routine data cohort study in Wales, UK
title Weighting of risk factors for low birth weight: a linked routine data cohort study in Wales, UK
title_full Weighting of risk factors for low birth weight: a linked routine data cohort study in Wales, UK
title_fullStr Weighting of risk factors for low birth weight: a linked routine data cohort study in Wales, UK
title_full_unstemmed Weighting of risk factors for low birth weight: a linked routine data cohort study in Wales, UK
title_short Weighting of risk factors for low birth weight: a linked routine data cohort study in Wales, UK
title_sort weighting of risk factors for low birth weight: a linked routine data cohort study in wales, uk
topic Epidemiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9923297/
https://www.ncbi.nlm.nih.gov/pubmed/36764720
http://dx.doi.org/10.1136/bmjopen-2022-063836
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