S M Garay1, L A Sumption1, R M Pearson2, R M John3. 1. Biomedicine Division, School of Biosciences, Cardiff University, Cardiff, CF10 3AX, UK. 2. Centre for Academic Mental Health, Population Health Sciences, Bristol Medical School, University of Bristol, Oakfield House, Bristol, BS8 2BN, UK. 3. Biomedicine Division, School of Biosciences, Cardiff University, Cardiff, CF10 3AX, UK. JohnRM@cf.ac.uk.
Abstract
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.
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.
Authors: Rebecca F Goldstein; Sally K Abell; Sanjeeva Ranasinha; Marie Misso; Jacqueline A Boyle; Mary Helen Black; Nan Li; Gang Hu; Francesco Corrado; Line Rode; Young Ju Kim; Margaretha Haugen; Won O Song; Min Hyoung Kim; Annick Bogaerts; Roland Devlieger; Judith H Chung; Helena J Teede Journal: JAMA Date: 2017-06-06 Impact factor: 56.272
Authors: Samantha M Garay; Katrina A Savory; Lorna Sumption; Richard Penketh; Anna B Janssen; Rosalind M John Journal: PLoS One Date: 2019-03-12 Impact factor: 3.240
Authors: Anna B Janssen; Katrina A Savory; Samantha M Garay; Lorna Sumption; William Watkins; Isabel Garcia-Martin; Nicola A Savory; Anouk Ridgway; Anthony R Isles; Richard Penketh; Ian R Jones; Rosalind M John Journal: BJPsych Open Date: 2018-08-17