Weight Bias in the Perinatal Period: An Integrative Review

Abstract

Background

Weight bias toward individuals with higher body weights in healthcare settings is associated with adverse health behaviors, reduced healthcare utilization, and poor health outcomes. The purpose of this integrative review was to explore: (1) What has been measured and described regarding perinatal care providers' and students' weight bias toward pregnant, birthing, and postpartum individuals with higher body weights? (2) What has been measured and described regarding pregnant, birthing, and postpartum individuals' experiences of weight bias? (3) What is the association of experiences of weight bias with perinatal and mental health outcomes among pregnant, birthing, and postpartum individuals?

Methods

We conducted a systematic search in CINAHL, PubMed, and PsycINFO databases to identify relevant research publications related to the Medical Subject Headings (MeSH) terms weight prejudice (and related terms) and pregnancy (and related terms). The review was guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA), Johns Hopkins Nursing Evidence-Based Practice model for study quality determination, and the Whittemore and Knafl integrative review framework for data extraction and analyses.

Results

Twenty-two publications met inclusion criteria, representing six countries and varying study designs. This review found pervasive sources of explicit weight bias in the perinatal period, including care providers and close relationships. Experiences of weight bias among pregnant and postpartum individuals are associated with adverse perinatal and mental health outcomes.

Discussion

The findings address a knowledge gap regarding a summary of literature on weight bias in the perinatal period and elucidate its prevalence as well as its negative influence on perinatal and mental health outcomes. Future research efforts on this topic must examine the nature and extent of perinatal care providers' weight bias by demographic factors and explore its association with clinical decision-making and perinatal and mental health outcomes.