ArticleBMC pregnancy and childbirth2021
Risk factors for excessive gestational weight gain in a UK population: a biopsychosocial model approach.
Article in BMC pregnancy and childbirth, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.
- Risk factors for inadequate and excessive gestational weight gain in 25 low- and middle-income countries: An individual-level participant meta-analysis.PLoS medicine · 2023Pooled it
- Improving Maternal Mental Health and Weight Control With a Mindfulness Blended Care Approach: Insights From a Randomized Controlled Trial.Journal of medical Internet research · 2025Trial
- Modelling gestational weight gain trajectories and risk of adverse birth outcomes using super imposition by translation and rotation: findings from two Brazilian cohort studies.Lancet regional health. Americas · 2026Article
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- Perceptual Factors Associated with Gestational Weight Gain: A Cross-Sectional Survey.Journal of Korean Academy of Nursing · 2024Article
- Polybrominated diphenyl ethers and gestational weight gain: a multi-center prospective cohort study.BJOG : an international journal of obstetrics and gynaecology · 2024Article
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- Prevalence and related factors of inappropriate gestational weight gain among pregnant women with overweight/ obesity in Thailand.BMC pregnancy and childbirth · 2023Article
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- The Association of Avoidance Coping with Gestational Weight Gain among Pregnant Black Women.Western journal of nursing research · 2023Article
- Pilot Lifestyle Intervention Effect on Lifestyle Behaviors, Psychosocial Factors, and Affect.Journal of pediatrics, perinatology and child health · 2023Article
- Effect of maternal dietary habits and gestational weight gain on birth weight: an analytical cross-sectional study among pregnant women in the Tamale Metropolis.The Pan African medical journal · 2023Article
- Prepregnancy body mass index, gestational weight gain, and maternal prepartum inflammation in normal pregnancies: findings from a Chinese cohort.BMC pregnancy and childbirth · 2022Article
- In support of the placental programming hypothesis: Placental endocrine insufficiency programs atypical behaviour in mothers and their offspring.Experimental physiology · 2022Review
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Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundGestational 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.
methodsThis 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.
resultsIn 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.
conclusionGWG 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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