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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...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2023
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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. |
format | Online Article Text |
id | pubmed-9923297 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
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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