Food insecurity during pregnancy in high-income countries, and maternal weight and diet: A systematic review and meta-analysis.
Giang Thu NguyenZoë BellGemma AndreaeStephanie ScottLetitia Sermin-ReedAmelia A LakeNicola HeslehurstPublished in: Obesity reviews : an official journal of the International Association for the Study of Obesity (2024)
Food insecurity is a well-established obesity driver. Less is known about food insecurity during pregnancy. This review (PROSPERO:CRD42022311669) aimed to explore associations between food insecurity, maternal obesity, gestational weight gain (GWG), and nutrition. Searches included seven databases, gray literature, references, citations, and contacting authors. Observational studies reporting data from January 1st, 2008 to 21 November 2023 in high-income countries were included. Duplicate screening, data extraction, and quality assessments were performed. Random effects meta-analysis estimated odds ratios (OR), mean difference (MD), and 95% confidence intervals (CI). Narrative synthesis was conducted when data could not be pooled. Database searches identified 22,272 results; 20 studies were included (n = 19 North America, n = 1 Europe; n = 32,803 women). Food insecurity significantly increased obesity (OR 1.53 95%CI 1.39, 1.66), but not underweight (OR 1.12 95%CI 0.89, 1.34) or overweight (OR 1.18 95%CI 0.90, 1.46). Food insecurity significantly reduced GWG (MD -0.42 kg 95%CI -0.62, -0.22) and increased inadequate GWG (OR 1.16 95%CI 1.05, 1.28), but not excessive GWG (OR 1.04 95%CI 0.96, 1.13). Diet outcomes were inconsistent, with some evidence of reduced vitamin E and diet quality and increased red/processed meat consumption. Further studies outside of North America are needed to inform practice and policy to support maternal health.
Keyphrases
- weight gain
- birth weight
- weight loss
- physical activity
- body mass index
- systematic review
- healthcare
- mental health
- big data
- electronic health record
- public health
- case control
- pregnancy outcomes
- primary care
- quality improvement
- metabolic syndrome
- molecular dynamics
- adipose tissue
- glycemic control
- adverse drug
- randomized controlled trial
- type diabetes
- clinical trial
- artificial intelligence
- deep learning
- preterm birth
- human health
- cervical cancer screening