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Risk factors for excessive gestational weight gain in a UK population: a biopsychosocial model approach
S M Garay1, L A Sumption1, R M Pearson2
1Biomedicine Division, School of Biosciences, Cardiff University, Cardiff, CF10 3AX, UK.
Insights
Excessive gestational weight gain (GWG) affects over half of UK women, linked to prenatal depression, obesity, and lower income. Addressing these biopsychosocial factors is crucial for maternal and child health.
Area of Science:
- Maternal Health
- Public Health
- Biopsychosocial Research
Background:
- Gestational weight gain (GWG) significantly impacts maternal and infant health.
- Contributing factors to GWG remain insufficiently understood.
- A biopsychosocial approach has not been widely applied to study GWG in the UK population.
Purpose of the Study:
- To investigate risk factors for excessive GWG in a UK population.
- To apply a biopsychosocial model to understand GWG.
- To identify potential targets for interventions to improve GWG outcomes.
Main Methods:
- Utilized data from the longitudinal Grown in Wales (GiW) cohort.
- Collected data from midwife records and questionnaires from women delivering via elective caesarean section.
- Categorized GWG using Institute of Medicine (IOM) guidelines for 275 participants.
Main Results:
- 56.0% of women experienced excessive GWG.
- Factors associated with excessive GWG included prenatal depression, overweight/obese pre-pregnancy BMI, alcohol consumption during pregnancy, and lower income levels.
- Specific income brackets (£<18,000 and £25-43,000) were significantly associated with excessive GWG.
Conclusions:
- Excessive GWG is a complex issue influenced by multiple biopsychosocial factors.
- The high prevalence of excessive GWG in the UK is a significant public health concern.
- Revised National Health Service (NHS) approaches, including weight gain tracking and targeted interventions, are recommended to improve GWG outcomes.
Background:
Gestational weight gain (GWG) can have implications for the health of both mother and child. However, the contributing factors remain unclear. Despite the advantages of using a biopsychosocial approach, this approach has not been applied to study GWG in the UK. This study aimed to investigate the risk factors of excessive GWG in a UK population, employing a biopsychosocial model.
Methods:
This study utilised data from the longitudinal Grown in Wales (GiW) cohort, which recruited women in late pregnancy in South Wales. Specifically, data was collected from midwife recorded notes and an extensive questionnaire completed prior to an elective caesarean section (ELCS) delivery. GWG was categorised according to Institute of Medicine (IOM) guidelines. The analysis was undertaken for 275 participants.
Results:
In this population 56.0% of women had excessive GWG. Increased prenatal depression symptoms (Exp(B)=1.10, p=.019) and an overweight (Exp(B)=4.16, p<.001) or obese (Exp(B)=4.20, p=.010) pre-pregnancy BMI, consuming alcohol in pregnancy (Exp(B)=.37, p=.005) and an income of less than £18,000 (Exp(B)=.24, p=.043) and £25-43,000 (Exp(B)=.25, p=.002) were associated with excessive GWG.
Conclusion:
GWG is complex and influenced by a range of biopsychosocial factors, with the high prevalence of excessive weight gain in this population a cause for concern. Women in the UK may benefit from a revised approach toward GWG within the National Health Service (NHS), such as tracking weight gain throughout pregnancy. Additionally, this research provides evidence for potential targets for future interventions, and potentially at-risk populations to target, to improve GWG outcomes.
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