1. Risk factors for excessive gestational weight gain in a UK population: a biopsychosocial model approach
- Author
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Lorna Sumption, Rosalind M. John, Samantha M. Garay, and R. M. Pearson
- Subjects
Biopsychosocial model ,Psychological intervention ,Overweight ,Models, Biopsychosocial ,Body Mass Index ,Overweight/complications ,Alcohol Drinking/adverse effects ,Cohort Studies ,0302 clinical medicine ,Pregnancy ,Risk Factors ,Surveys and Questionnaires ,Prevalence ,030212 general & internal medicine ,Wales/epidemiology ,education.field_of_study ,030219 obstetrics & reproductive medicine ,Depression ,United Kingdom/epidemiology ,Obstetrics and Gynecology ,Cesarean Section/statistics & numerical data ,Gestational Weight Gain ,Depression/complications ,Elective Surgical Procedures ,Cohort ,Income ,Female ,Thinness/complications ,medicine.symptom ,Research Article ,Adult ,medicine.medical_specialty ,Alcohol Drinking ,Population ,Reproductive medicine ,lcsh:Gynecology and obstetrics ,03 medical and health sciences ,Thinness ,Pregnancy Complications/epidemiology ,medicine ,Humans ,education ,Elective Surgical Procedures/statistics & numerical data ,lcsh:RG1-991 ,Wales ,business.industry ,Cesarean Section ,medicine.disease ,United Kingdom ,Pregnancy Complications ,business ,Weight gain ,Demography - 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, pp=.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.
- Published
- 2021
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