Weighting of risk factors for low birth weight: a linked routine data cohort study in Wales, UK
Amrita Bandyopadhyay1, Hope Jones2, Michael Parker2
1National Centre for Population Health and Wellbeing Research, Swansea University Medical School, Swansea, West Glamorgan, UK A.Bandyopadhyay@swansea.ac.uk.
Insights
Globally, millions of babies are born with low birth weight (LBW). This study identified key modifiable risk factors, including maternal health and smoking, to inform strategies for reducing LBW prevalence in Wales.
Area of Science:
- Public Health
- Epidemiology
- Maternal and Child Health
Background:
- Low birth weight (LBW) affects approximately 20 million newborns annually worldwide.
- Identifying modifiable risk factors is crucial for developing effective interventions to reduce LBW prevalence.
Purpose of the Study:
- To investigate the contribution of modifiable risk factors to LBW in a large, nationally representative Welsh cohort.
- To inform public health strategies aimed at reducing LBW.
Main Methods:
- A longitudinal cohort study utilizing linked administrative data from Wales (1998-2018).
- Inclusion of 693,377 children and their mothers from the National Community Child Health Database.
- Analysis using multivariable logistic regression (MLR) and decision tree (DT) models to identify risk factors.
Main Results:
- Non-singleton births, short pregnancy intervals, and maternal health conditions (diabetes, anemia, depression, anxiety, serious mental illness) significantly increased LBW risk.
- Maternal smoking, alcohol misuse, substance misuse, and domestic abuse were identified as key risk factors.
- Living in less deprived areas was associated with a lower risk of LBW.
Conclusions:
- Interventions should prioritize improving maternal physical and mental health, ensuring adequate pregnancy spacing, and supporting maternal well-being.
- Reducing preterm births and addressing socioeconomic factors like deprivation are essential for lowering LBW rates.
- Public health resources should focus on a multi-faceted approach targeting identified modifiable risk factors.
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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