Cardiff Metropolitan University
Browse
e063836 Weighting of risk factors.pdf (718.89 kB)

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

Download (718.89 kB)
journal contribution
posted on 2023-04-28, 10:35 authored by Amrita Bandyopadhyay, Hope Jones, Michael Parker, Emily Marchant, Julie Evans, Charlotte Todd, Muhammad A Rahman, James Healy, Tint Lwin Win, Ben Rowe, Simon Moore, Angela Jones, Sinead Brophy

 

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.

History

Published in

BMJ Open

Publisher

BMJ

Version

  • VoR (Version of Record)

Citation

Bandyopadhyay, A., Jones, H., Parker, M., Marchant, E., Evans, J., Todd, C., Rahman, M.A., Healy, J., Win, T.L., Rowe, B. and Moore, S. (2023) 'Weighting of risk factors for low birth weight: a linked routine data cohort study in Wales, UK', BMJ open, 13(2), p.e063836.

Electronic ISSN

2044-6055

Cardiff Met Affiliation

  • Cardiff School of Technologies

Cardiff Met Authors

Muhammad A Rahman

Copyright Holder

  • © The Authors

Language

  • en

Usage metrics

    School of Technologies Research - Journal Articles

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC