Skip to main content
Wiley Open Access Collection logoLink to Wiley Open Access Collection
. 2025 May 15;26(9):e13933. doi: 10.1111/obr.13933

Structural weight stigma in healthcare toward preconception, pregnant, and postpartum women: A systematic review

Chloe Tran 1, Stephanie Pirotta 1, Haimanot Hailu 1, Pragya Kandel 1, Helen Skouteris 1,2, Briony Hill 1,
PMCID: PMC12318919  PMID: 40375585

Summary

Introduction

Structural weight stigma for reproductive‐aged women can limit healthcare access and increase physical and mental health concerns, with adverse intergenerational outcomes. The aim of this systematic review was to synthesize evidence of structural weight stigma in healthcare and determine how that impacts the care for women across the preconception, pregnant, and postpartum periods.

Methodology

The concepts of stigma, weight, healthcare, and women of reproductive age were combined and searched in five databases (Ovid Medline, PsycINFO, Web of Science, Scopus, CINAHL) and 12 gray literature sources. Inclusion criteria consisted of any peer‐reviewed study or government policy that described a structural element within healthcare (e.g., guidelines, funding, insurance, equipment, physical environment) relevant to women of reproductive age (18–50 years) between 2001 and 2023. A narrative synthesis using a convergent approach was employed to analyze results.

Results

A total of 70 studies were included in this review; 24 qualitative, 21 quantitative, 10 policies, 3 dissertations, and one mixed‐method study. Structural weight stigma in healthcare presented across: 1) institutional policies that are weight‐centric and often placed women in larger bodies on “high‐risk” pathways; 2) the lack of government funding and insurance coverage for weight‐related services; 3) uncertainty amongst healthcare professions regarding their roles and responsibilities, 4) stigmatizing physical environments; and 5) lack of appropriately sized equipment.

Conclusions

Structural weight stigma impacting preconception, pregnant and postpartum women living in larger bodies was highly prevalent. Reducing structural weight stigma is important to improve healthcare access and improve the quality of care.

Keywords: healthcare, structural weight stigma, weight stigma, women of reproductive age

1. INTRODUCTION

Weight stigma is a characterized by labeling and negative stereotyping toward individuals due to body weight, shape, and/or size, which can lead to differential treatment, making it a human rights issue. 1 , 2 It is often perpetuated by structural factors embodied in systems and society that cause intentional or unintentional disadvantage to the stigmatized population. 3 Examples of structural factors in healthcare that can impact people in larger bodies include policies that recommend body mass index (BMI) cut‐offs for certain health services (e.g., fertility support), inappropriately sized equipment, and lack of weight management training for healthcare professionals. 4 Structural factors within healthcare can reinforce negative weight stigmatizing experiences for people who are living in bigger bodies, as structural factors can influence individual behavior. 5 , 6 Whilst there is no universally accepted definition of structural stigma, in this review, we focus on three broad domains conceptualized in Link and Phelan's influential 2001 article 7 : ‘institutional policies, cultural norms, and societal‐level conditions’ (Table 1). As such, structural weight stigma typically refers to factors that occur outside of the individual control. 9 , 10

TABLE 1.

Definition of structural stigma and its three domains. 7 , 8

Term Definition
Structural stigma Institutional practices, cultural norms, and societal‐level conditions that constrain opportunities, resources, and wellbeing for stigmatized populations
Institutional policies Factors relating to enacted or planned legislation, including government policies, funding, and insurance coverage for weight‐related practices and procedures
Cultural norms Standards set by healthcare workers which overtime become engrained in the healthcare system
Societal‐level conditions Encompasses a broad range of characteristics including elements of the physical environment, the structure, design, and implementation of education content, and the availability of relevant resources.

Weight stigma is commonly experienced by females, particularly during the preconception, pregnancy, and postpartum (PPP) periodsdue to body changes, 11 and increased healthcare service demands (e.g., preconception counseling, labor, and postpartum care), that are characterized by intensive monitoring of body weight and size. 12 Amongst this group of women, approximately 68% of women living in larger bodies reported delaying healthcare due to fear of stigmatizing environments. 13 Experiencing weight stigma during the PPP period has been associated with body dissatisfaction, stress, and postpartum depression, 11 , 14 , 15 which can potentially contribute to intergenerational impacts such as large for gestational age babies, breastfeeding difficulties, and unfavorable developmental and cognitive outcomes. 16 , 17 , 18 Reducing or eliminating weight stigma in women's healthcare can improve both quality of care and health outcomes. 19 , 20

Structural weight stigma can compromise access to healthcare through inequitable distribution of resources or withholding of services and/or fragmented care. 21 There is an urgent need to identify and understand structural weight stigma in maternity healthcare. Prior research focusing on pregnant women living in larger bodies identified that structural stigma led to reduced quality of healthcare. 4 , 22 , 23 , 24 , 25 , 26 However, a gap remains in our understanding of how structural weight stigma takes place for all PPP women. To address this gap, this study aimed to conduct a systematic review of structural weight stigma in healthcare toward PPP women. Our two objectives were:

  1. To identify what structural weight stigma factors exist in healthcare and understand how it impacts the quality of care provided to PPP women; and

  2. To identify suggestions for reducing structural weight stigma within healthcare.

2. METHODS

This review was conducted following the Preferred Reporting Items for Systematic Reviews and Meta‐Analyses (PRISMA) statement. 26 It was registered on PROSPERO (CRD42023434638) on July 26, 2023.

2.1. Data sources and searches

In June 2023, five electronic databases (Ovid Medline, PsycINFO, Web of Science, Scopus, and CINAHL) and 12 relevant gray literature sources were systematically searched (S1 ‐ Tables 1–6). The search strategy, developed in consultation with a research librarian, combined the concepts of stigma, weight, healthcare, and women of reproductive age (S1 ‐ Table 7).

2.2. Study selection

To be included, a study had to be focused on women in the PPP periods, explore structural weight stigma and how it impacted the quality of care (Table 2). We included PPP women between the ages of 18–50 years. Women younger than 18 are more likely to receive healthcare in the presence of a guardian, and they may not be able to accurately reflect on structural factors that are experienced by women going through standard maternal care. 27 Additionally, young pregnant women may also face stigma due to pregnancy at a younger age, and this stigma may be conflated with experiences of weight stigma. 28 Despite chances of natural conception falling to 4% at age 41, 29 women above 45 are still utilizing reproductive healthcare services, thus women up to 50 were included. 30 Healthcare students were excluded from inclusion as they have not fully engaged in the professional environments where structural factors, such as organizational policies are encountered on a day‐to‐day basis. Although certain structural factors such as healthcare professional education may seem relevant to students, their ability to critically reflect on these experiences may be limited while they remain immersed in their educational environment. 31 As students, their understanding of how these structural factors function in real‐world practices may lack the depth of understanding that comes with professional experience. 31

TABLE 2.

Eligibility criteria.

Criteria Inclusion Exclusion
Population Preconception, pregnant, and postpartum women between the ages of 18–50 and/or any healthcare professional who care for these women Women outside 18–50 years, males, general population, and/or healthcare students
Phenomenon Structural weight stigma

Weight stigma that was not structural (e.g., internalized biases, implicit biases, interpersonal stigma)

Stigma related to ethnicity, mental health, or diabetes

Context Healthcare setting Communities, universities, workplaces
Outcome How structural weight stigma impacted the quality of care for women Evaluating interventions and/or validating measures
Study type A primary study or a government policy, written in English Nonprimary research designs (e.g., commentaries) or systematic reviews

Structural stigmas are the macro‐level factors that include institutional practices, cultural norms, and societal‐level conditions that constrain opportunities, resources, and well‐being for stigmatized populations. 8 Examples of structural weight stigma were obtained using guidance from literature from other health and social conditions (e.g., mental illness, HIV, racial stigmatization 4 , 32 , 33 , 34 ) as well as studies exploring weight stigma broadly in healthcare. 23 , 24 One author (CT) developed a list of structural weight stigma examples for each domain, which was reviewed by two authors (BH, SP) and adjustments were made via discussion as required (Table 3). Examples not originally considered that emerged throughout data extraction were added to the list if they met the definition of structural weight stigma (Table 1).

TABLE 3.

Examples of structural weight stigma in healthcare.

Domain Examples of structural weight stigma
Institutional practices
  • Guidelines related to referrals, resource allocation, and/or body mass index restrictions

  • Legislation prohibiting weight discrimination or bullying in healthcare settings

  • Weight‐related policies/guidelines

  • Insurance coverage and/or government funding for weight‐related procedures

Cultural norms
  • Roles and responsibilities of healthcare professionals

  • Measuring weight status in a compassionate way free of simple assumptions and categorization

  • Culturally shared expectations among healthcare professionals

Societal‐level conditions
  • Clinics and hospitals not having appropriately sized equipment (e.g., scales, gowns, hospital beds, Magnetic Resonance Imaging machines)

  • Insensitive signage in clinics/hospitals

  • Training for healthcare professionals in weight‐related topics, communication skills, sensitivity, and/or caring for patients in larger bodies

2.3. Data extraction

Both title/abstract and full‐text screening were completed in duplicate (CT, SP, HH, PK, or BH) via Covidence 35 or manually via a spreadsheet (for gray literature) with discrepancies resolved through discussion. Data was extracted into an author‐designed data extraction form by one reviewer (CT), with a random subset of 10% extracted by a second reviewer (HH), and 73% agreement was achieved. Extracted data included lead author, country, healthcare setting (e.g., maternity units, hospitals), life stage of women (e.g., pregnant, postpartum), type of healthcare professional (e.g., midwife, physician), sample size, study design, outcome measures, and aim. Disagreements between the two authors were predominantly related to defining and categorizing structural weight stigma. To overcome this, further details and examples were discussed for each broad domain of structural stigma until agreement was achieved.

2.4. Quality assessment

Methodological quality of included studies was assessed by one author (CT), with 10% assessed by a second reviewer (PK). For qualitative studies, quality was assessed via the Critical Appraisal Skills Program (CASP), 36 assessing research aims, methodology, reflexivity, consideration of ethical issues, quality of data analysis, and a statement of findings. The ‘how valuable is the research’ item in the CASP tool was based on 1) if the authors discuss their contribution to existing knowledge, 2) if the authors identify new areas where research is necessary, and 3) discuss how findings can be transferred to other populations. Studies that addressed all three points were deemed as ‘highly valuable’, studies that addressed two points were deemed ‘valuable’, and studies that addressed none or one were deemed as ‘not applicable’. Quantitative studies were assessed using the Centre for Evidence‐Based Management (CEBMa) checklist, which measures methodological quality irrespective of study design. 37 Studies that met eight or more criteria were deemed as high quality, studies that met the criteria for 4–7 items were deemed as moderate quality, and studies that met the criteria for less than four items were deemed low quality. For both tools, each question was marked as “yes”, “no”, or “cannot tell”. Studies were not excluded on the basis of quality.

2.5. Data analysis

A narrative synthesis using a convergent integrated approach, adopted by the Joanna Briggs Institute, was used for analysis. 38 This approach involves combining data from quantitative and qualitative studies that answer the research question, rather than by study methods. One author (CT) conducted a preliminary synthesis for quantitative and qualitative studies separately by organizing results into the three domains of structural stigma. This synthesis was then further organized according to the population (as seen in Table 4). Once studies were categorized accordingly, one author (CT) conducted a subsequent narrative synthesis for the quantitative and qualitative studies. Results with the same or similar meaning across both quantitative and qualitative studies were then grouped together. To ensure the accuracy and rigor of the analysis, two additional reviewers (BH and SP) cross‐checked the categorization of results and provided feedback. Any differing interpretations were resolved through group discussions.

TABLE 4.

Characteristics of included primary studies.

Author (year) Country Healthcare setting Life stage of women or type of HCP Sample size (mean age/range) Study design Outcome measure Aim
Studies that included women's perspective only
Arden et al., 2014 UK Parenting support forums PPP 202 (N/A) Qualitative Participant‐reported perceptions To explore women's perspectives about the weight gain guidance in NICE guidelines.
Basinger et al., 2022 US Maternity units PPP 249 (N/A) Quantitative – cross‐sectional Global self‐reported To describe memorable messages about fat peoples bodies across the pregnancy trajectory
Basinger et al., 2023 US Fertility clinics PPP 69 (37.4) Qualitative Participant‐reported perceptions Examine the communication larger bodies women received from healthcare providers related to infertility and their bodies through pregnancy and postpartum.
Baker et al., 2005 UK Maternity units Pregnancy 24 (35.9) Qualitative Participant‐reported perceptions To explore the impact of maternity care staff on women's experiences, and feelings associated with the childbirth process.
Brown et al., 2012 UK Antenatal and maternity units Pregnancy 59 (32.7) Quantitative – cross‐sectional Global self‐reported To explore the advice given to pregnant women of different pre‐pregnancy BMI to establish whether women were receiving a consistent message, and whether NICE guidelines were being followed.
DeJoy et al., 2016 US Maternity units Pregnancy 16 (31.1) Qualitative – descriptive Participant‐reported perceptions Explore the experiences of women with obesity in the maternity care system.
Dinsdale et al., 2016 UK Hospitals Postnatal 24 (20–42) Qualitative Participant‐reported perceptions Explore the accounts of postnatal women who had been through one of the three pathways in pregnancy.
Furber et al., 2011 UK Maternity units Pregnancy 19 (20–44) Qualitative Participant‐reported perceptions To explore the experiences of in women with a body mass index >35 kg/m2 during the childbearing process.
Ingraham et al., 2014 US Abortion clinics Pregnancy 651 (25.4) Quantitative – cross‐sectional Global self‐reported Exploring obese women's experiences receiving or avoiding family planning care.
Jarvie et al., 2017 UK Diabetic antenatal clinics Pregnancy and postpartum 27 (19–43) Qualitative – sociological design Participant‐reported perceptions To explore the lived experiences of women with coexisting maternal obesity and GDM during pregnancy and post‐birth.
Kair et al., 2016 US Maternity units Preconception, pregnancy 19,145 (19–35) Quantitative, cross‐sectional

Self‐reported and objective measures

Aim to examine the extent to which a mothers pre‐pregnancy BMI category is associated with exposure to pro‐breastfeeding hospital practices.
LaMarre et al., 2020 Canada Reproductive healthcare Preconception and pregnancy 17 (28–44) Qualitative – descriptive Participant‐reported perceptions To explore the experiences of people in larger bodies seeking fertility and or pregnancy care through a reproductive justice lens.
Lindhardt et al., 2013 Denmark Midwifery‐led antenatal clinics Preconception 16 (N/A) Qualitative Participant‐reported perceptions To examine the experience of women with a pre‐pregnant BMI > 30 kg/m2, in their encounters with HCPs during pregnancy.
Maheshwari et al, 2009 Scotland Antenatal clinic Preconception 11,756 (26‐39) Quantitative – retrospective cross‐sectional Objective data from two state databases To estimate and compare the cost per live birth across different BMI groups (as defined by WHO).
McDonald et., 2011 Canada Antenatal clinics Pregnancy 310 (29.5) Quantitative – cross‐sectional Global self‐reported To determine the information that pregnant women report receiving when being counseled about weight gain.
Mills et al., 2013 Australia Antenatal clinics Pregnancy 14 (25–42) Qualitative – descriptive Participant‐reported perceptions To explore the experiences of pregnant women living with overweight attending two maternity units in Sydney, Australia.
Pandey et al., 2014 Scotland Fertility clinic Preconception 2643 (32.1) Quantitative – retrospective cohort Objective data from two state databases To explore the impact of different age and BMI groups on total treatment costs in women attending a secondary/tertiary care fertility clinic.
Parker et al., 2017 NZ Maternity units Pregnancy 27 (N/A) Qualitative Participant‐reported perceptions To describe women in larger bodies experience of being on the receiving end of discourses and practices in maternity care that problematize their bodies.
Riggan et al., 2023 US Fertility clinics Preconception 40 (23–44) Qualitative – grounded theory Participant‐reported perceptions To explore patients experience of BMI restrictions that limit fertility care.
Shaw et al, 2023 NZ Fertility clinics Preconception 11 (20–45) Qualitative Participant‐reported perceptions To explore the experiences of Māori and Pacific women where a BMI cut‐off presents as a barrier to fertility services.
Shahbazzadegan et al., 2019 Iran Maternal health care centers Pregnancy 10 (32) Qualitative Participant‐reported perceptions To explain the pregnancy experience in women with high BMI.
Swift et al., 2016 UK Antenatal clinics Pregnancy 193 (32.8) Quantitative – cohort Self‐reported and objective (anthropometric data) To examine women's experiences of routine antenatal weight management provision in Nottingham.
Tovar et al., 2010 US Medical clinic Pregnancy 29 (18–40) Qualitative Participant‐reported perceptions To evaluate knowledge, attitudes, and beliefs regarding weight gain during pregnancy among predominantly Puerto Rican women.
Studies that included healthcare professionals perspectives only
Amy et al., 2006 US Gynecological units Physicians, nurse practitioners & midwives 129 (24–72) Quantitative – cross‐sectional Global self‐reported To investigate the factors that contribute to lower rates of gynecological cancer screening as related to women's body size.
Agaronnik et al., 2021 US Medical clinics Rheumatologist, neurologist, obstetricians, orthopedics, and ophthalmologists. 22 (51.3) Qualitative Participant‐reported perceptions Explore attitudes and practices of US physicians related to caring for patients with obesity and mobility disability.
Christenson et al., 2018 Sweden Antenatal clinics Midwives 17 (N/A) Qualitative Participant‐reported perceptions To explore how midwives perceive and approach communication about gestational weight recommendations.
Ferrante et al., 2009 US Medical clinics Physicians 255 (48) Quantitative – cross‐sectional Global self‐reported Aim to assess family physicians practices and attitudes regarding care of extremely obese patients and factors associated with them.
Garner et al., 2015 US Hospital Physicians, midwives, nurses, lactation specialists 34 (31–84) Qualitative – descriptive Participant‐reported perceptions Describe HCPs experiences providing breastfeeding care for obese women during the pre, peri, and postpartum periods.

Grohmann et al., 2012

Canada Obstetric clinics Obstetrician, physician, midwife, nurse, dietitians 96 (20–50) Quantitative – cross‐sectional Global self‐reported Identify perceptions of HCPs in communicating GWG recommendations and to identify potential gaps and opportunities that could be addressed.
Hasted et al., 2016 Australia Maternity units Midwives, medical staff, dietitians 44 (N/A) Qualitative Participant‐reported perceptions To identify clinicians' perspectives of barriers and enablers to routinely weighing pregnant women and variations in current practice, knowledge, and attitudes.
Harris et al., 2011 US Fertility clinics Fertility physicians 43 (N/A) Quantitative, cross‐sectional Global self‐reported To assess the practice patterns and personal beliefs of fertility physicians who care for obese patients seeking assisted reproduction.
Herring et al., 2010 US Hospital Obstetricians, nurse practitioners, midwives 58 (N/A) Quantitative – cross‐sectional Global self‐reported To determine the knowledge, attitudes, and practice patterns of obstetric providers regarding obesity in pregnancy.
Heslehurst et al., 2007 UK Maternity units Midwives, obstetricians, physiotherapists, dietitians, diabetes nurse specialist 33 (N/A) Qualitative Participant‐reported perceptions

To understand HCPs perceptions of the impact that caring for obese pregnant women has on maternity services.

Heslehurst et al., 2011 UK Maternity units Midwives, obstetricians, physiotherapists, dietitian, sonographer 30 (N/A) Qualitative Participant‐reported perceptions To identify developments in maternal obesity services and understand how maternity services need to be further developed.
Heslehurst et al., 2013 UK Maternity units Midwives 46 (N/A) Qualitative Participant‐reported perceptions To explore midwives' perceptions of their training and education requirements in relation to maternal obesity.
Kelley et al., 2019 US Fertility clinics Reproductive specialists and fertility specialists 599 (30–50+) Quantitative – cross‐sectional Global self‐reported To explore the attitudes of specialists regarding the necessity and appropriateness of BMI cut‐offs for women seeking fertility treatment.
Kerrigan et al., 2015 UK National Health Service Hospitals Obstetricians, anesthetists, midwives 24 (N/A) Qualitative Participant‐reported perceptions To explore practitioners' experiences of and strategies for providing intrapartum care to obese women.
Knight‐Agawral et al., 2014 Australia OBGYN unit Obstetricians, gynecologists 33 (N/A) Qualitative ‐ IPA Participant‐reported perceptions To investigate the views and attitudes of providers of antenatal care for women with a BMI of 30 kg/m2 or over.
McCann et al., 2018 UK Hospital and community center Midwives 17 (N/A) Qualitative Participant‐reported perceptions Determine midwives' perceptions, knowledge, and experiences of providing healthy eating and weight management advice to pregnant women.
McParlin et al., 2017 UK Hospitals Midwives 192 (N/A) Quantitative – cross‐sectional Global self‐reported To investigate barriers and facilitators to physical activity guideline implementation for midwives when caring for pregnant women living with obesity.
Paik‐Nicely, 2012 US OBGYN units Obstetricians, gynecologists 331 (40–65) Dissertation – quantitative Global self‐reported This study explored the knowledge, attitudes, and practices of OBGYNs in providing contraceptive services to obese women.
Power et al., 2006 US University hospital Obstetricians, gynecologists 900 (37–46) Quantitative – cross‐sectional Global self‐reported To describe obesity prevention and treatment practices of U.S obstetricians– gynecologists.
Stewart et al., 2012 Australia Antenatal clinics Obstetricians, midwives 103 (N/A) Quantitative – cross‐sectional Global self‐reported The aim of this study was to determine the practice and knowledge regarding appropriate GWG.
Stotland et al., 2010 US Antenatal clinics, health centres, hospitals, organizations Physician, nurse practitioner, midwife 52 (29–69) Qualitative Participant‐reported perceptions To study prenatal care providers about their knowledge, attitudes, and practices regarding the prevention of excessive weight gain during pregnancy and their approach to nutrition and physical activity counseling during pregnancy.
Singleton et al., 2014 US Maternity unit Midwives 11 (20–60) Qualitative – IPA Participant‐reported perceptions To explore the experiences of midwives caring for obese women in labor.
Schmied et al., 2011 Australia Maternity units HCPs in general 37 (N/A) Qualitative – descriptive Participant‐reported perceptions To explore the experiences and concerns of HCPs who care for childbearing women who are obese.
Smith et al., 2012 UK Hospitals Midwives, sonographers, anesthetists, obstetricians 30 (N/A) Qualitative Participant‐reported perceptions Explored HCPs experiences of caring for women with a BMI ≥ 30 kg/m2 and their views of the proposed lifestyle programme.
Wilkinson et al., 2012 Australia Maternity hospital Obstetricians, gynecologists midwives, allied health specialists 84 (N/A) Quantitative – cross‐sectional Global self‐reported To assess practice gaps in the multidisciplinary management of overweight and obesity pregnancy to inform an intervention to facilitate translating obesity guidelines into practice in a tertiary maternity service.

Wilkinson et al., 2013

Australia Maternity hospital Obstetricians, gynecologists midwives, allied health specialists 73 (N/A) Quantitative – cross‐sectional Global self‐reported To assess staff knowledge about, adherence to, and characteristics that influence the delivery of care according to these guidelines.
Yager et al., 2023 Europe (16 countries) Healthcare setting overall HCPs in general 257 (41.2) Quantitative – cross‐sectional Global self‐reported To conduct a needs assessment to determine the extent, nature, and format of health professional education in relation to body image and perinatal mental health.
Studies that included both women and healthcare professionals perspectives
Channon et al., 2022 UK Sexual health clinic

Preconception women

20 (16–48) Mixed‐methods Participant‐reported perceptions and objective data from a database of electronic health records To assess the acceptability and practicability of a weight‐loss intervention which asked people to delay contraception removal in order to lose weight before conceiving.
Physicians 10 (N/A)
Doughty et al., 2019 UK Midwifery clinic Pregnancy, postpartum N/A (20‐45) Dissertation – qualitative Participant‐reported perceptions Explore and interpret the experiences of obese mothers and the views of midwives who have experience of providing care for women living with obesity during pregnancy.
Midwives N/A (30‐50)

Forde et al., 2019

UK Medical clinic, diabetes specialist center Preconception, pregnancy N/A (25‐44) Qualitative Participant‐reported perceptions To elicit the views and experiences of women with Type 2 diabetes and HCPs relating to the pregnancy and pre‐pregnancy care they have received or provided.
Physicians, nurses, diabetes specialists N/A (N/A)
Gasper et al., 2022 France, Spain, Brazil Private diabetic clinics PPP 86 (18–29) Qualitative Participant‐reported perceptions To understand and compare social representations of obesity and overweight amongst dietitians from 3 nationalities (Brazilian, French, and Spanish).
Dietitians 45 (22–57)
Heslehurst et al., 2015 UK Midwifery unit Pregnancy 17 (N/A) Dissertation – mixed methods Participant‐reported perceptions, self‐reported and objective data (clinical audit) This research evaluated the implementation of maternal obesity care pathways from multiple stakeholder perspectives.
Midwives, medical clinicians 243 (N/A)
Holton et al., 2017 Australia Teaching hospital Pregnancy 17 (24–43) Qualitative Participant‐reported perceptions To describe women's and midwives experiences and perspectives of care for weight management during pregnancy in Melbourne.
Midwives 2 (N/A)
Lessard, 2015 US Reproductive healthcare PPP

5606 quant

18 qual

Dissertation – mixed methods Participant‐reported perceptions and self‐reported Exploring whether obesity impacts contraception use and women's choice in contraception type and if so, how does HCP bias toward obese individuals contribute to this impact.
HCPs in general
Olander et al., 2011 UK Medical clinics Pregnancy 23 (18–30) Qualitative Participant‐reported perceptions To explore HCPs views concerning their provision to prevent unhealthy weight gain in pregnancy.
Centre managers, midwives, social workers 6 (N/A)
Washington Cole et al., 2016 UK Obstetric outpatient unit – teaching hospital Pregnancy 117 (22.9) Quantitative – cross‐sectional Global self‐reported To examine the association of women's body weight with provider communication during prenatal care.
Nurses, midwives 22 (N/A)

2.6. Reflexivity

The review team had a background in women's health, health psychology, public health, weight stigma, dietetics, exercise science, and the reproductive years. Team members considered their positionality on the topic of weight stigma throughout the PPP periods. All authors critically reflected on their personal and professional experience, particularly surrounding the beliefs of weight‐inclusive care. Efforts were constantly made to ensure the analysis and findings were presented in a balanced and objective manner. Specifically, it was important to not place blame or judgment on healthcare professionals who may not practice weight‐inclusive care.

3. RESULTS

After the removal of duplicates, 3572 titles and abstracts were screened, followed by 735 full‐texts. After applying the inclusion and exclusion criteria (S1 – Table 8), 33 documents were deemed eligible. Searching reference lists of included studies identified 37 additional records, resulting in a total of 70 included studies (Figure 1). Characteristics of included studies can be found in Table 4 and a summary of government polices can be found in S1 ‐ Table 10. The most frequent reason for exclusion was studies not being related to structural stigma (S2 – Table 1). Thirty‐two studies were qualitative, 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 , 53 , 54 , 55 , 56 , 57 , 58 , 59 , 60 , 61 , 62 , 63 , 64 , 65 , 66 , 67 , 68 , 69 , 106 twenty‐two were quantitative, 70 , 71 , 72 , 73 , 74 , 75 , 76 , 77 , 78 , 79 , 80 , 81 , 82 , 83 , 84 , 85 , 86 , 87 , 88 , 89 , 90 , 91 two were a mixed‐method study, 93 , 108 three were dissertations, 94 , 95 , 96 and eleven were government/organization policies and guidelines. 97 , 98 , 99 , 100 , 101 , 102 , 103 , 104 , 105 The majority of studies were conducted in the United Kingdom (n = 26), 40 , 43 , 49 , 58 , 60 , 72 , 82 , 87 , 92 , 93 , 99 , 103 followed by the United States (n = 19), 68 , 71 , 76 , 77 , 78 , 79 , 96 , 39 , 42 , 46 , 61 , 65 , 67 , 70 , 73 , 75 , 84 , 91 , 95 Australia (n = 11), 48 , 52 , 55 , 59 , 62 , 85 , 88 , 89 , 97 , 98 Canada (n = 3), 56 , 74 , 81 Europe (n = 6), 41 , 47 , 57 , 80 , 83 , 90 New Zealand (n = 2), 64 , 69 Australia/New Zealand (n = 1), 101 and one study from Israel. 63 Of the studies that included healthcare professionals, the most common profession was midwives (n = 24), 41 , 46 , 48 , 49 , 50 , 51 , 52 , 54 , 55 , 58 , 60 , 62 , 65 , 66 , 67 , 70 , 76 , 82 , 85 , 88 , 89 , 90 , 92 , 94 followed by obstetricians (n = 13), 46 , 50 , 54 , 66 , 74 , 76 , 84 , 85 , 88 , 89 , 96 physicians (n = 8), 39 , 44 , 67 , 70 , 73 , 92 nurses (n = 6), 44 , 46 , 67 , 70 , 76 , 90 dietitians (n = 4),47–50 gynecologists (n = 3) 55 , 84 , 87 , sonographers (n = 2), 50 , 66 fertility specialists (n = 2), 75 , 79 allied health (n = 2), 88 , 89 anesthetists (n = 2), 66 lactation consultants (n = 1), 46 and diabetes specialists (n = 1) (S1 ‐ Table 11). 44 One study did not specify the profession of the healthcare professionals included in the study, rather, they stated that the inclusion criteria were healthcare professionals who remove long‐acting reversible contraception for women of reproductive age. 93 The most common life stage of women in the studies was pregnancy (n = 23), 40 , 42 , 43 , 44 , 45 , 52 , 53 , 56 , 57 , 59 , 63 , 68 , 69 , 71 , 78 , 81 , 86 , 87 , 91 , 92 , 94 , 106 preconception (n = 10), 44 , 56 , 61 , 64 , 71 , 80 , 83 , 91 , 93 , 95 postpartum (n = 4) 43 , 60 , 71 , 91 , and one included women aged 18–50 years but did not specify the life stage. 107 Four of the studies that included preconception women, were specifically seeking in vitro fertilization (IVF) services. 75 , 79 , 80 , 83  Of the quantitative and mixed methods studies, 17 used self‐reported questionnaires, including a range of open and close‐ended questions. 71 , 72 , 73 , 74 , 76 , 77 , 78 , 80 , 82 , 83 , 85 , 86 , 88 , 89 , 90 , 92 , 108 Two quantitative studies used objective information from the Aberdeen Maternity and Neonatal Database, as well as the Aberdeen Reproductive Unit database logs. 81 , 84 Finally, four quantitative studies used a combination of self‐reported (e.g. surveys) and objective measures (e.g., electronic records). 41 , 79 , 87 , 95

FIGURE 1.

FIGURE 1

Flow of studies included in the review.

A detailed description of the aim, participants, healthcare setting, methodology, and results for qualitative quantitative, and policy documents is available in S1 (Tables 9–10). In terms of study quality (S1 – Table 12,13), several qualitative studies were deemed high quality. 40 , 41 , 42 , 43 , 44 , 45 , 47 , 49 , 50 , 51 , 52 , 53 , 55 , 56 , 59 , 61 , 62 , 65 , 67 , 69 , 94 Given that there is no universal threshold for what is deemed a high, low, or moderate quality in the CASP tool, the authors made overall judgments after considering each criterion. Typically, high‐quality studies adequately described the specific qualitative method employed, considered the researcher‐participants relationship, provided a detailed analysis process, and presented a clear statement of the findings. Several studies did not adequately describe one or more of the following: research design, recruitment strategy, data collection, and data analysis process, and thus were deemed as lower‐quality studies. 63 , 66 Overall, the most commonly missed criteria were many studies not acknowledging the relationship between the researcher and participants. Regarding the 21 quantitative studies, five demonstrated high methodological quality by addressing several criterion such as minimizing selection bias, ensuring sample representativeness, and providing confidence intervals for the main results. 73 , 78 , 81 , 83 , 95 Reasons for poorer quality quantitative studies included not providing clarity around the validity of measures, high likelihood of selection bias, and poor representativeness of the included sample. 70 , 71 , 75 , 79 , 89 , 90 , 92 , 96 Additionally, only two studies calculated the sample size based on statistical power.

3.1. Objective 1: structural weight stigma in healthcare and how it impacts the quality of care for preconception, pregnant and postpartum women

The following section synthesizes: (a) structural stigmas and their impact on care; and (b) women's experiences identified across institutional policies, cultural norms, and societal‐level conditions (Table 5).

TABLE 5.

Results of included studies separated by element of structural stigma and study design.

Structural stigma Quantitative Qualitative Impact to women
Institutional practices Policies and guidelines
  • Denial of fertility treatment for women living in larger bodies 72 , 76 , 80
  • Women in larger bodies denied choice of childbirth 72
  • Guidelines lack flexibility, are too broad, and are used reatively 45 , 57 , 91
  • Denial of fertility care until BMI was lower 62 , 65 , 91 , 93
  • Denied choice for childbirth 46 , 50
  • Labeling women in larger bodies as ‘high‐risk’ 55 , 66 , 70
  • Additional testing
  • Fewer women in larger bodies received fertility treatments 80 , 93
  • Lack of individualized care 60
  • Medialization of pregnancy 70 , 95
  • Increased stress
  • Unable to have delivery of choice 43 , 46 , 50 , 66 , 91
  • Restricted the care midwives could give and affected the normality of the birth process 55
Funding
  • Cost increased for fertility services for women in lowest BMI category 81 , 84

  • Lack of funding was a barrier to implementing dietitian‐led antenatal classes 56

  • Lack of funding to set up the healthcare setting appropriately 50

  • Differences in cost for fertility services 81 , 84

Referral pathways
  • Guidelines suggest referral to a dietitian when BMI is > 30 kg/m2 from a GP 90
  • Women in larger bodies automatically referred to anesthetists, 46 midwife specialist 110 without consent

  • Different maternal pathways for women depending on their body size 44 , 50 , 55 , 95

  • Lack of clarity about when to refer to a dietitian 49 , 51 , 59

  • Automatic referrals without discussing with women 110

  • Some women thought the different maternal pathways were beneficial to provide additional support

Insurance
  • Women in larger bodies without insurance were less likely to have a pelvic exam, use contraception, and attend preconception care 96

N/A
  • Lower uptake of preconception care and complete physical exminations 96

Cultural norms Discussions about weight
  • Less than 30% of providers made GWG recommendations 82

  • Fertility providers recommend diet and exercise for weight loss 76 , 78 , 80

  • Weighing patients in clinics is part of routine care in some settings 71

  • Approximately 50% of provider's' used visual assessment to measure weight 85

  • Pregnancy weight gain advice was most consistent for women in lower body weights 61 , 69
  • Fertility providers recommend diet and exercise for weight loss 76
  • Some midwives were reluctant to discuss weight 42 , 55 , 66 , 92 , others believed it was part of their responsibility 42 , 95
  • Women in larger bodies who wanted long active reversible contraceptive removed were counseled about weight compared to those in lower body weights 41
  • Some provider's measure weight status according to the definition in the World Health Organization, whereas some use visual body assessment 47 , some did not measure weight at all 86
  • Differences in the number of times women in larger bodies were being weighed compared to women in lower bod weights 59 , 73 , 82 , 87 , 108

  • Some women decline being weighed 71

  • Women in larger bodies were more likely to receive unsolicited lifestyle, physical activity, and dietary recommendations 78 , 88

Roles and responsibilities
  • Hospital staff unaware of who's responsibility it is to refer to dietitians 77 , 89 , 90

  • Women living in larger bodies had lower odds of receiving pro‐breastfeeding support 78

  • Discussions about body image part of routine care 92

  • Majority of women in larger bodies were counseled about physical activity and limiting food intake from obstetricians or gynecologists 85

  • Despite guidelines recommending women in larger bodies receiving a postnatal weight loss program, women did not receive this 54

  • Provider's were uncertain of who's responsibility it was to refer specialist supports 67

  • Decreased odds of exclusively breastfeeding for mothers in larger bodies

  • Women reported a lack of advice and support from providers' which lead to anxiety and mistrust 73

Societal‐level conditions Equipment and medical tools
  • Lack of appropriately sized equipment (e.g., speculums, blood pressure cuffs, hospital gowns, scales, exam tables, chairs) 71 , 72 , 74 , 78 , 95 , 96

  • Scales were in a highly visible public area 108

  • Scales were in a highly visible and busy location 49
  • Lack of appropriately sized equipment (e.g., speculums, blood pressure cuffs, hospital gowns, scales, exam tables, chairs) 40 , 43 , 50 , 53 , 60 , 64 , 67 , 107 , 110
  • Women felt blamed for their bodies 72

  • Women felt angry, disrespected and uncomfortable 72

  • Women transferred to different locations 40

  • Women in larger bodies did not receive the same level of care 57 , 60

  • Prevented the insertion of intrauterine devices for women in larger bodies 96 , 97

  • Delays in receiving care as equipment needed to be rented, borrowed, or bought 63

Time
  • Limited time in consults to do complete examinations and screenings 57 , 71 , 95

  • Maternity staff had limited time to provide nutrition advice 89

  • Limited time to discuss the challenges of pregnancy in a larger body 77

  • Limited time in general practice to provide preventive care 45

  • Limited time to have pro‐breastfeeding discussions with women in larger bodies 47

  • Limited time to discuss the challenges of pregnancy in a larger 41 , 49 , 59 , 67

  • Midwives reported lack of time to discuss nutrition in a compassionate way 42

N/A
Training
  • Approximately 71% of midwives felt confident to provide nutrition advice 108

  • The majority of provider's did not receive formal training on how to have discussions about weight 77 , 80 , 85 , 86 , 90

  • Approximately 20% received training in caring for pregnant women living in larger bodies 71 , 83 , 89

  • Midwives report not receiving training about nutrition 59

  • Midwives did not receive any formal training on how to discuss weight 52 , and there were differences in OBGYN's receiving training in prenatal nutrition, weight gain, and physical activity counseling was inadequate 68 , 97

  • Lack of training about safe transfer methods of women living in larger bodies 40

  • Women did not receive adequate nutrition advice 59

  • Women did not receive information about appropriate weight gain 61

Environment N/A
  • Images in waiting rooms were not weight inclusive 65

  • Having 1–2 ‘larger chairs’ amongst the ‘normal’ chairs 66

  • Women felt shamed and embarrased 65 , 66

3.1.1. Institutional practices

The domain of ‘institutional practices’ refers to factors relating to enacted or planned legislation, including government policies, funding, and insurance coverage relevant for PPP women. Policies commonly included recommendations that categorized pregnant women in larger bodies as “high‐risk”, which led to additional scans, 84 and regular weighing. 70 , 95 , 99 Both policy, 102 and empirical studies 72 , 76 , 80 described denied in‐vitro fertilization (IVF) treatment when BMI was greater than 35 kg/m2. Women described feeling upset, disappointed, and discouraged when fertility clinics canceled their fertility appointments because of their weight. 62 One quantitative, 72 and five qualitative studies 43 , 46 , 50 , 66 , 91 reported that women in larger bodies were unable to choose their method of childbirth due to policy recommendations, which placed pregnant women on specific pathways or models of care. 99 Government policies also described limiting gestational weight gain (GWG) for women in higher BMI categories. 99 Overall, healthcare guidelines relevant for PPP women lacked flexibility and did not promote holistic care. 57

Other areas within institutional practices identified in this review, demonstrated that pregnant women in larger bodies were often automatically referred to anesthesists, 46 specialist midwives, 110 or placed on different maternal pathways 44 , 50 , 55 , 95 without their consent. Healthcare professionals stated that promoting normality during labor is an integral part of their role, yet acknowledged guidelines that recommend continuous monitoring during pregnancy impacted the chances of normal birth for women in larger bodies. 66 We found that healthcare for PPP women in larger bodies was hampered by a lack of funding. 50 Studies reported on the lack of government funding to implement dietitian‐led antenatal classes, 56 and to adequately set up healthcare settings. 50 Finally, one study in the US reported that women living in larger bodies with no insurance were less likely to have a pelvic exam, use contraception, and attend family planning compared to those with insurance and with a lower BMI. 96 Overall, government policies were mainly weight‐centric with a strong focus on weight/BMI or weight loss/gain rather than health as an endpoint. 58

3.1.2. Cultural norms

The domain of ‘cultural norms’ refers to the standards set by healthcare workers that overtime become engrained in the healthcare system. Studies revealed inconsistencies in how healthcare professionals define and assess overweight and obesity, with up to 47% of providers using visual inspection alone, 85 some using the WHO definition of overweight/obesity, 47 and several did not measure or discuss weight at all. 86 This led to heightened feelings of body stereotyping and assumptions made by health professionals. 57 It also led to differences in the number of women who were being counseled to lose weight. 59 , 67 , 73 , 82 , 108 Additionally, studies reported confusion amongst healthcare professionals about who was responsible for tasks and procedures for women living in larger bodies. Specifically, providers were uncertain about who's responsibility it was to refer to dietitians, 67 , 77 , 89 , 90 provide physical activity and nutrition advice, 85 have body image discussions, 92 and provide breastfeeding support. 79 As a result, women had lower odds of exclusively breastfeeding their newborns, 79 and felt a lack of advice and support from providers. 78

3.1.3. Societal‐level conditions

The ‘societal‐level conditions’ domain encompasses medical equipment, the physical environment, design and implementation of education content, and the availability of relevant resources (e.g., time). Staff reported limited time and a shortage of healthcare staff to provide dietary advice, 42 , 89 discuss risks associated with high adiposity in pregnancy, 77 provide physical activity guidance, 83 complete routine assessments and screenings, 94 and have adequate discussions about breastfeeding 47 for women in larger bodies. This often increased stress and pressure for providers, 94 which affected their willingness to discuss weight‐related factors. 40 , 42 Additionally, up to 50% of providers' had not received sufficient training in weight counseling, 41 safe transfer methods of larger‐bodied women, 40 referral pathways for tailored support, 67 risks associated with excess adiposity during pregnancy, 67 and cultural sensitivity. 47 , 65 This impacted provider capability and confidence to provide support, 85 thus often avoiding the conversation all together. 59 Conversely, healthcare providers with additional weight management knowledge and training felt more confident, 77 , 97 were more motivated to discuss sensitive topics, 52 and had fewer negative attitudes. 74

A lack of appropriately‐sized equipment (e.g., blood pressure cuffs, speculums for pelvic exams, hospital gowns, scales, exam tables, and needles for epidurals) was reported broadly across both quantitative 71 , 72 , 74 , 78 , 95 , 96 and qualitative studies. 40 , 43 , 53 , 60 , 97 , 110 This led to challenges in completing examinations, such as separating thighs on a pelvic exam 74 and inserting intrauterine devices. 96 , 97 Equipment often needed to be rented, borrowed, or bought, resulting in delayed procedures and inability to provide complete physical examinations, 40 , 63 leaving women feeling embarrassed, uncomfortable, 58 , 72 and the perception that they were not receiving the same quality of care as women in smaller bodies. 60 Finally, several studies described elements within the physical environment as stigmatizing (e.g. resources with images of “skinny people”, larger scales in a public area), 49 , 75 which led to women feeling embarrassed, 65 uncomfortable, 66 and distressed. 75

3.2. Objective 2: suggestions to reduce structural weight stigma in healthcare toward preconception, pregnant, and postpartum women

Many included studies highlighted suggestions and recommendations to reduce structural weight stigma in healthcare within the PPP periods across all three domains of structural weight stigma (summarized in Box 1). Overall, a flexible approach to guidelines, greater fertility support, increased funding, and more inclusive insurance policies were recommendations made by providers and women. Some midwives recommended not discussing weight or BMI the first time they meet women (as per practice guidelines), as this typically coincides with the beginning of building rapport with patients. 95 Suggestions to improve the cultural norms amongst healthcare providers included developing clearer practice guidelines outlining who is responsible for what task and including physical activity advice in routine antenatal care regardless of body size. 66 In alignment with the identified societal‐level structural stigmas, recommendations included ensuring the availability of adequately sized equipment, 96 allocating more time in appointments, 42 and providing healthcare professionals with more training, and education to help them address weight‐related topics. 67 , 75 Overall, women believed that structural changes are required to ensure no one is denied medical services based on weight alone. 80

Box 1. Summary of recommendations within included studies to reduce structural weight stigma in healthcare for PPP women.

Institutional practices

  • Flexible approach to maternal guidelines to allow for individualized care that is attentive to the complexity of human bodies, and specialized support services for women who encounter BMI restrictions 53 , 95

  • Polices acknowledging the multifactored nature of weight status 57

  • Further support and resources to support women through fertility treatment, specifically involving fertility diatitians 62 , 94

  • Avoid discussing weight or BMI during the first interaction with new healthcare providers to avoid impacts on patient‐provider relationships, or if required discuss it in a compassionate and non‐judgemental manner 95

  • Increased government funding to ensure all healthcare environments are well‐equipped with appropriately sized equipment 49

  • Including obesity treatments in insurance policies 74

  • Clearer referral guidelines throughout the entire preconception, antenatal, and postnatal period 94

Cultural norms

  • Developing clear practice guidelines for midwives when caring for women living in larger bodies in regard to tasks and responsibilities 66

  • Healthcare professionals are to provide physical activity and dietary advice to all women regardless of body weight

  • Healthcare providers should highlight the importance of movement and a nutritious diet throughout all PPP stages regardless of body weight 83

Societal‐level conditions

  • Ensure all healthcare settings are equipped with appropriately sized equipment (e.g., scales, blood pressure cuffs) 49 , 96

  • Longer appointment times to foster compassionate conversations 42

  • Further training and education on providing weight‐inclusive care that includes a mixture of online and in‐person activities. 67 , 75 , 92 For example, breastfeeding‐related education for women living in larger bodies, 47 interacting with patients in affirming ways, 57 raising awareness on existence and effects of weight stigma, guidance on language and communication, 92 and cultural sensitivity. 57

4. DISCUSSION

To our knowledge, this is the first systematic review to identify and summarize evidence related to structural weight stigma within healthcare settings for PPP women. We found structural weight stigma within healthcare may impact the quality of care across the three domains evaluated: institutional practices, cultural norms amongst healthcare professionals, and societal‐level conditions. Structural factors that may drive weight stigma and reduce the quality of healthcare include refusal to provide care based on weight, increased monitoring during pregnancy, receiving less healthcare support, and poorer patient‐provider relationships. Given that the PPP stages involve more frequent healthcare visits and motivated patients, there is a unique opportunity to impact the health of women and their families. Below is a summary of our findings, as well as our recommendations for healthcare providers' to consider moving forward (Box 2).

Box 2. Recommendations to reduce structural weight stigma in healthcare for PPP women.

For government

  • Healthcare policies should support holistic care for PPP in larger bodies that does not solely focus on weight

  • Increase funding to ensure healthcare settings are adequately equipped

  • Medicare rebates to support women in larger bodies access the care they need to promote their overall health and well‐being

For healthcare providers'

  • Asking women for their consent, as well as how they feel about discussing weight

  • Ensure all decisions related to women's care are made in discussion with the woman

  • Ensure the clinic room and overall healthcare environment is well equipped, and comfortable for women prior to arriving for their appointment

For researchers

  • Explore what, how, and where education about weight stigma can be integrated into the medical training program

  • Generate new knowledge about structural weight stigma toward PPP women

Our findings identified that institutional policies and practices often medicalized women living in larger bodies and focused on the negative consequences of excess adiposity for the mother and/or child's health, 95 which often resulted in the refusal of healthcare services provision (e.g., IVF). Similarly, existing research demonstrates policies with a reliance on BMI not only increased the risk of anxiety but overall deprioritized healthcare concerns and increased the financial burden for these patients. 112 Research suggests there is a significant funding gap related to the care for people living in larger bodies who do not have adverse co‐morbidities. 113 For example, pregnant women with larger bodies are often counseled to lose weight and to seek a dietitian, however, there are currently no financial support for women to access these services. 114 As a result, larger‐bodied women often seek early access to their superannuation to fund treatments, 113 or purchase weight‐related medication that is not subsidized by publicly funded health systems. 115 Incorporating a holistic approach to women's healthcare (including policy development), that is not solely reliant on weight/BMI as the outcome, may be a solution to avoid undue burden being placed on both women and health services. Further exploration could consider the fiscal suitability of government funding and insurance companies covering healthcare services for women regardless of body weight. 116 Some experts in clinical practice and academia have called for weight‐related diseases to be considered as chronic diseases (similar to the Australian Medical Association 117 ) as a potential mechanism to increase accessibility to services and provide higher reimbursement of allied health care. 113 , 118 However, it is important to ensure that any such change does not further medicalize larger‐bodied women or further stigmatize those who seek care. 119

We identified that healthcare professionals felt uncertain in their role when caring for women in larger bodies, which culminated in the perception of inconsistent and inadequate care. For example, Hyer et al, found that some healthcare providers believed that consistently measuring weight leads to shared decision‐making and patient empowerment, 23 while others believed that measuring weight hindered patient‐provider relationships. 120 From the women's perspective, weighing led to shame, embarrassment, lack of provider trust, negative body image, and concerns about discrimination. 121 To combat this, it is proposed that having clearer descriptions and allocations of tasks and procedures, as well as involving women in decision making can be a key to consistent healthcare. 23 Additionally, healthcare professionals who require to discuss and measure weight should ask women for their consent, and explain the process and reasons clearly. 121 Research and clinical settings should consider moving toward weight‐neutral care. Such care prioritizes weight inclusivity, well‐being, respect, flexible and individualized eating, and enjoyable physical activity, with the potential to improve health and wellbeing outcomes without weight change being the goal. 122 , 123 It is important for healthcare professionals to have comprehensive guidance around their roles and responsibilities when caring for PPP women in larger bodies. However, guidelines must be clearly adaptable to ensure they meet the needs of PPP women.

Inadequately prepared healthcare settings (e.g., time, workforce, equipment, environment, training) were identified as a substantial structural barrier to receiving optimum quality of care for reproductive‐aged women living in larger bodies. We found that women and healthcare professionals wanted readily available equipment that is suitable for all body types, greater focus on how to sensitively discuss weight, and improved multi‐disciplinary care. This is similar to previous studies, where lack of knowledge and equipment were frequently cited as barriers to effective care for women in larger bodies. 124 We propose a stronger focus on healthcare training that includes multiple components (e.g., causal attribution of weight, communication, sensitivity) embedded into undergraduate and postgraduate education. 113 , 125 Perhaps, incentives to complete non‐stigmatizing weight management training for health professionals may increase its uptake. 113 Additionally, extending the involvement of practice nurses in the primary care setting may allow for structured evidence‐based care for patients without increasing physician workload. 125 Healthcare settings and providers have a responsibility to reduce stigmatizing structural barriers and ensure healthcare environments are designed in such a way that is appropriate and comfortable for people of all body sizes.

Strengths of this review include our systematic approach, following the PRISMA guidelines, and assessing the quality of all included peer‐reviewed papers, which were of moderate to high quality. This review also has limitations. Given that structural weight stigma is a relatively new concept, potentially eligible studies may have been missed as many studies related to weight stigma did not directly include the words ‘structural stigma’. The definition of structural weight stigma was based on other health and social conditions (e.g., HIV, mental health, ethnicity), and studies related to structural weight stigma were often identified indirectly. Additionally, only articles written in English were considered for inclusion, therefore the application of findings to healthcare settings globally is likely underrepresented.

5. CONCLUSION

We identified structural weight stigma across institutional‐level practices, cultural norms amongst healthcare providers, and the societal‐level environment within the healthcare setting involving PPP women. Structural weight stigma appeared to impede healthcare professionals' endeavors to provide high‐quality care. It also impacted care through inequitable access to required services and treatment, increased monitoring, reduced autonomy for women, and poorer patient‐provider relationships, which ultimately undermines the quality of care. Organizational and policy changes within healthcare settings will support healthcare professionals to provide high‐quality, evidence‐based care, and help reduce stigmatizing experiences for PPP women living in larger bodies.

AUTHOR CONTRIBUTIONS

Conceptualization: Chloe Tran, Briony Hill, Stephanie Pirotta. Methodology: Chloe Tran, Briony Hill, Stephanie Pirotta, Haimanot Hailu, Pragya Kandel. Analysis: Chloe Tran, Briony Hill, Stephanie Pirotta. Writing – original draft preparation: Chloe Tran. Writing – review and editing: Briony Hill, Stephanie Pirotta, Helen Skouteris. All authors reviewed and approved the final manuscript.

CONFLICT OF INTEREST STATEMENT

None to disclose.

Supporting information

Table S1: Search strategy for Ovid Medline Search conducted: 26/06/2023.

Table S2: Search strategy for PsycINFO Search conducted: 27/06/2023.

Table S3: Search strategy for CINAHL Search conducted: 27/06/2023

Table S4: Search strategy for Web of Science Search conducted: 27/06/2023.

Table S5: Search strategy for Scopus Search conducted: 27/06/2023.

Table S6: Gray literature sources, search terms, and results.

Table S7: Overall search terms used in review (adapted to each database.

Table S8: Detailed eligibility criteria based on PICOS(population, intervention/exposure, comparison, outcome, study type) model.

Table S9: Characteristics of included quantitative, qualitative, and mixed‐methods studies.

Table S10: Characteristics and recommendations of government policies related to women of reproductive age.

Table S11: Summary table of characteristics for primary studies and government policies.

Table S12: Quality assessment for qualitative studies using the CASP checklist.

Table S13: Quality assessment for quantitative studies using the CEBMa.

Table S1: Reasons for exclusion.

OBR-26-e13933-s001.docx (188.1KB, docx)

ACKNOWLEDGEMENTS

Open access publishing facilitated by Monash University, as part of the Wiley ‐ Monash University agreement via the Council of Australian University Librarians.

Tran C, Pirotta S, Hailu H, Kandel P, Skouteris H, Hill B. Structural weight stigma in healthcare toward preconception, pregnant, and postpartum women: A systematic review. Obesity Reviews. 2025;26(9):e13933. doi: 10.1111/obr.13933

Funding information CT is supported by a Monash University PhD Scholarship as part of an Australia Research Council (ARC) Discovery Project (DP220101107). BH is supported by an ARC Discovery Early Career Research Award (DECRA: DE230100704). PK is supported by an Australian Research Training Program (RTP) Fee‐Offset Scholarship.

DATA AVAILABILITY STATEMENT

None to disclose.

REFERENCES

  • 1. Anderson MM, Varga S, Folker AP. On the definition of stigma. J Eval Clin Pract. 2022;28(5):1‐7. doi: 10.1111/jep.13684 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2. Nutter S, Eggerichs LA, Nagpal TS, et al. Changing the global obesity narrative to recognize and reduce weight stigma: a position statement from the world obesity federation. Obes Rev. 2024;25(1). doi: 10.1111/obr.13642 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3. Knaak S, Livingsone J, Stuart H, Ungar T, Combating Mental Illness and Substance Use‐Related Structural Stigma in Health Care: A Framework for Action, Accessed March 30, 2024, https://mentalhealthcommission.ca/wp‐content/uploads/2021/09/Combating‐Mental‐Illness‐and‐Substance‐Use‐Related‐Structural‐Stigma‐in‐Health‐Care.pdf
  • 4. Bolster‐Foucault C, Ho Mi Fane B, Blair A. Structural determinants of stigma across health and social conditions: a rapid review and conceptual framework to guide future research and intervention. Health Promot Chronic Dis Prev Can. 2021;41(3):85‐115. doi: 10.24095/hpcdp.41.3.03 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5. Wien S, Miller AL, Kramer MR. Structural racism theory, measurement, and methods: a scoping review. Front Public Health. 2023;11. doi: 10.3389/fpubh.2023.1069476 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6. Hatzenbuehler ML. Structural stigma: research evidence and implications for psychological science. Am Psychol. 2016;71(8):742‐751. doi: 10.1037/amp0000068 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7. Link BG, Phelan JC. Conceptualising stigma. Annu Rev Sociol. 2001;27:363‐385. [Google Scholar]
  • 8. Hatzenbuehler ML, Link BG. Introduction to the special issue on structural stigma and health. Soc Sci Med. 2014;103:1‐6. doi: 10.1016/j.socscimed.2013.12.017 [DOI] [PubMed] [Google Scholar]
  • 9. Morgan AJ, Wright J, Reavley NJ. Review of Australian initiatives to reduce stigma towards people with complex mental illness: what exists and what works? Int J Ment Health Sys. 2021;15(1):10. doi: 10.1186/s13033-020-00423-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10. Vela MB, Erondu AI, Smith NA, Peek ME, Woodruff JN, Chin MH. Eliminating explicit and Implicit biases in health care: evidence and research needs. Annu Rev Public Health. 2022;12(43):477‐501. doi: 10.1146/annurev-publhealth-052620-103528 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11. Hill B, Incollingo Rodriguez AC. Weight stigma across the preconception, pregnancy, and postpartum periods: a narrative review and conceptual model. Semin Reprod Med. 2020;38(6):414‐422. doi: 10.1055/s-0041-1723775 [DOI] [PubMed] [Google Scholar]
  • 12. Edache IY, Kakinami L, Alberga AS. Weight bias and support of public health policies. Can J Public Health. 2021;112(4):758‐765. doi: 10.17269/s41997-020-00471-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13. Puhl RM, Heuer CA. Obesity stigma: important considerations for public health. Am J Public Health. 2010;100(6):1019‐1028. doi: 10.2105/AJPH.2009.159491 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14. Wu YK, Berry DC. Impact of weight stigma on physiological and psychological health outcomes for overweight and obese adults: a systematic review. J Adv Nurs. 2018;74(5):1030‐1042. doi: 10.1111/jan.13511 [DOI] [PubMed] [Google Scholar]
  • 15. Dieterich R, Demirici J, Danford C. Weight stigma related to pregnancy a concept analysis. Adv Nurs Sci. 2020;43(2):190‐199. doi: 10.1097/ANS.0000000000000297 [DOI] [PubMed] [Google Scholar]
  • 16. Incollingo Rodriguez AC, Nagpal TS. The WOMBS framework: a review and new theoretical model for investigating pregnancy‐related weight stigma and its intergenerational implications. Obes Revs. 2021;22(12). [DOI] [PubMed] [Google Scholar]
  • 17. Incollingo Rodriguez AC, Dunkel Schetter C, Brewis A, Tomiyama AJ. The psychological burden of baby weight: pregnancy, weight stigma, and maternal health. Soc Sci Med. 2019;235:112401. doi: 10.1016/j.socscimed.2019.112401 [DOI] [PubMed] [Google Scholar]
  • 18. McDowell M, Cain MA, Brumley J. Excessive gestational weight gain. JMWH. 2019;64(1):46‐54. doi: 10.1111/jmwh.12927 [DOI] [PubMed] [Google Scholar]
  • 19. Hill B, de la Piedad GX, Rathbone J, et al. Supporting healthcare professionals to reduce weight stigma. AJGP. 2024;53(9):682‐685. doi: 10.31128/AJGP-07-23-6906 [DOI] [PubMed] [Google Scholar]
  • 20. Talumaa B, Brown A, Batterham RL, Kalea AZ. Effective strategies in ending weight stigma in healthcare. Obes Rev. 2022;23(10):e13494. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21. Harwood A, Carter D, Eliott J. A public health framework for reducing stigma: the example of weight stigma. J Bioeth Inq. 2022;19(3):511‐520. doi: 10.1007/s11673-022-10199-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22. Hyer S, Davis JW, Slowik JL, Dove‐Meadows E, Giurgescu C. A mixed methods systematic review of midwives' clinical practices related to prenatal care of women with obesity. Midwifery. 2023;121(1):103653. doi: 10.1016/j.midw.2023.103653 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23. Jeffers L, Manner J, Jepson R, McAteer J. Healthcare professionals' perceptions and experiences of obesity and overweight and its management in primary care settings: a qualitative systematic review. Prim Health Care Res Dev. 2024;25:e5. doi: 10.1017/S1463423623000683 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24. Heslehurst N, Newham J, Maniatopoulos G, Fleetwood C, Robalino S, Rankin J. Implementation of pregnancy weight management and obesity guidelines: a meta‐synthesis of healthcare professionals' barriers and facilitators using the theoretical domains framework. Obes Rev. 2014;15(6):462‐486. doi: 10.1111/obr.12160 [DOI] [PubMed] [Google Scholar]
  • 25. Hill B, Bergmeier H, Incollingo Rodriguez AC, et al. Weight stigma and obesity‐related policies: a systematic review of the state of the literature. Obes Rev. 2021;22(11):e13333. doi: 10.1111/obr.13333 [DOI] [PubMed] [Google Scholar]
  • 26. Page MJ, McKenzie JE, Bossuyt PM, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ. 2021;372(71):n71. doi: 10.1136/bmj.n71 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27. Javadi D, Sacks E, Brizuela V, et al. Factors that influence the uptake of postnatal care among adolescent girls: a qualitative evidence synthesis. BMJ Glob Health. 2023;8(2):e011560. doi: 10.1136/bmjgh-2022-011560 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28. SmithBattle L. Walking on eggshells: an update on the stigmatizing of teen mothers. MCN. 2020;45(6):322‐327. doi: 10.1097/NMC.0000000000000655 [DOI] [PubMed] [Google Scholar]
  • 29. IVF Australia , Age and Female Fertility, accessed April 16, 2024, https://www.ivf.com.au/planning-for-pregnancy/female-fertility/effect-on-age
  • 30. Bercovich O, Klar G, Shaulov T, et al. A clinical predictive model for live birth in women of advanced age undergoing PGT cycles. Obstet Gynecol. 2024;309(3):1083‐1090. doi: 10.1007/s00404-023-07329-6 [DOI] [PubMed] [Google Scholar]
  • 31. Verhees MJM, Landstra AM, Engbers R, Koksma JJ, Laan RFJM. Exploring workplace‐based learning in distributed healthcare settings: a qualitative study. BMC Med Educ. 2024;24(1):78. doi: 10.1186/s12909-024-05053-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32. Agenor M, Perez AE, Solazzo AL, et al. Assessing variations in sexual orientation‐ and gender identity‐related U.S. state Laws for sexual and gender minority Health Research and action, 1996‐2016. LGBT Health. 2022;9(3):207‐216. doi: 10.1089/lgbt.2021.0157 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33. Gurung D, Neupane M, Bhattarai K, et al. Mental health–related structural stigma and discrimination in health and social policies in Nepal: a scoping review and synthesis. Epidemiol Psychiatr Sci. 2023;32:e70. doi: 10.1017/S2045796023000823 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34. Mitchell UA, Nishida A, Fletcher FE, Molina Y. The long arm of oppression: how structural stigma against marginalized communities perpetuates within‐group health disparities. Health Educ Behav. 2021;48(3):342‐351. doi: 10.1177/10901981211011927 [DOI] [PubMed] [Google Scholar]
  • 35. Covidence Systematic Review Softward . Covidence systematic review software, accessed April 16, 2024, www.covidence.org
  • 36. Critical Appraisal Skills Programme , CASP qualitative checklist 2022, accessed April 16, 2024, https://casp-uk.net/casp-tools-checklists/
  • 37. Centre for Evidence Based Management , Critical Appraisal Checklist of a cross‐sectional study survey, accessed April 16, 2024, https://cebma.org/wp-content/uploads/Critical-Appraisal-Questions-for-a-Cross-Sectional-Study-July-2014-1.pdf
  • 38. Joanna Briggs Institute , The Joanna Briggs Institute Reviewer’ Manual 2014: Methodology for JBI mixed methods systematic reviews, accessed April 16, 2024, https://jbi-global-wiki.refined.site/space/MANUAL
  • 39. Agaronnik ND, Lagu T, DeJong C, et al. Accommodating patients with obesity and mobility difficulties: observations from physicians. Disabil Health J. 2021;14(1):100951. doi: 10.1016/j.dhjo.2020.100951 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40. Arden MA, Duxbury AMS, Soltani H. Responses to gestational weight management guidance: a thematic analysis of comments made by women in online parenting forums. BMC Pregnancy Childbirth. 2014;14(100967799):216. doi: 10.1186/1471-2393-14-216 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41. Christenson A, Johansson E, Reynisdottir S, Torgerson J, Hemmingsson E. Shame and avoidance as barriers in midwives' communication about body weight with pregnant women: a qualitative interview study. Midwifery. 2018;63:1‐7. doi: 10.1016/j.midw.2018.04.020 [DOI] [PubMed] [Google Scholar]
  • 42. DeJoy SB, Bittner K, Mandel D. A qualitative study of the maternity care experiences of women with obesity: "more than just a number on the scale". J Midwifery Womens Health. 2016;61(2):217‐223. doi: 10.1111/jmwh.12375 [DOI] [PubMed] [Google Scholar]
  • 43. Dinsdale S, Branch K, Cook L, Shucksmith J. “As soon as you've had the baby that's it …” a qualitative study of 24 postnatal women on their experience of maternal obesity care pathways. BMC Public Health. 2016;16(1):625. doi: 10.1186/s12889-016-3289-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44. Forde R, Collin J, Brackenridge A, Chamley M, Hunt K, Forbes A. A qualitative study exploring the factors that influence the uptake of pre‐pregnancy care among women with type 2 diabetes. Diabet Med. 2020;37(6):1038‐1048. doi: 10.1111/dme.14040 [DOI] [PubMed] [Google Scholar]
  • 45. Furber CM, McGowan L. A qualitative study of the experiences of women who are obese and pregnant in the UK. Midwifery. 2011;27(4):437‐444. doi: 10.1016/j.midw.2010.04.001 [DOI] [PubMed] [Google Scholar]
  • 46. Garner CD, Ratcliff SL, Devine CM, Thornburg LL, Rasmussen KM. Health professionals' experiences providing breastfeeding‐related care for obese women. Breasfeeding Med. 2014;9(10):503‐509. doi: 10.1089/bfm.2014.0104 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47. de Moraes Prata Gasper MC, de Morais Sato P, Scagliusi FB. Under the 'weight' of norms: social representations of overweight and obesity among Brazilian, French and Spanish dietitians and laywomen. Soc Sci Med 2022;298:114861. doi: 10.1016/j.socscimed.2022.114861. [DOI] [PubMed] [Google Scholar]
  • 48. Hasted T, Stapleton H, Beckmann MM, Wilkinson SA. Clinician's attitudes to the Introduction of routine weighing in pregnancy. J Pregnancy. 2016;2016:2049673. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49. Heslehurst N, Lang R, Rankin J, Wilkinson JR, Summerbell CD. Obesity in pregnancy: a study of the impact of maternal obesity on NHS maternity services. BJOG. 2007;114(3):334‐342. doi: 10.1111/j.1471-0528.2006.01230.x [DOI] [PubMed] [Google Scholar]
  • 50. Heslehurst N, Moore H, Rankin J, Ells LJ, Wilkinson JR, Smmerberbell CD. How can maternity services be developed to effectively address maternal obesity? A qualitative study. Midwifery. 2011;27(5):170‐177. doi: 10.1016/j.midw.2010.01.007 [DOI] [PubMed] [Google Scholar]
  • 51. Heslehurst N, Russell S, McCormack S, Sedgewick G, Bell R, Rankin J. Midwives perspectives of their training and education requirements in maternal obesity: a qualitative study. Midwifery. 2013;29(7):736‐744. doi: 10.1016/j.midw.2012.07.007 [DOI] [PubMed] [Google Scholar]
  • 52. Holton S, East C, Fisher J. Weight management during pregnancy: a qualitative study of women's and care providers' experiences and perspectives. BMC Pregnancy Childbirth. 2017;17(1):351. doi: 10.1186/s12884-017-1538-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53. Jarvie R. Lived experiences of women with co‐existing BMI≥30 and gestational diabetes mellitus. Midwifery. 2017;49:79‐86. doi: 10.1016/j.midw.2016.12.009 [DOI] [PubMed] [Google Scholar]
  • 54. Kerrigan A, Kingdon C, Cheyne H. Obesity and normal birth: a qualitative study of clinician's management of obese pregnant women during labour. BMC Pregnancy Childbirth. 2015;15(1):256. doi: 10.1186/s12884-015-0673-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55. Knight‐Agarwal CR, Manmeet K, Williams LT, Davey R, Davis D. The views and attitudes of health professionals providing antenatal care to women with a high BMI: a qualitative research study. Women Birth. 2014;27(2):138‐144. doi: 10.1016/j.wombi.2013.11.002 [DOI] [PubMed] [Google Scholar]
  • 56. LaMarre A, Rice C, Cook K, Friedman M. Fat reproductive justice: navigating the boundaries of reproductive health care. J Soc Issues. 2020;76(2):338‐362. doi: 10.1111/josi.12371 [DOI] [Google Scholar]
  • 57. Lindhardt CL, Rubak S, Mogensen O, Lamont RF, Joergensen JS. The experience of pregnant women with a body mass index >30 kg/m2 of their encounters with healthcare professionals. Acta Obstet Gynecol Scand. 2013;92(9):1101‐1107. doi: 10.1111/aogs.12186 [DOI] [PubMed] [Google Scholar]
  • 58. McCann MT, Newson L, Burden C, Rooney JS, Charnley MS, Abayomi JC. A qualitative study exploring midviwes' perceptions and knowledge of maternal obesity: reflecting on their experiences of providing health eating and weight management advice to pregnant women. Matern Child Nutr. 2017;14:312520. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59. Mills A, Schmied VA, Dahlen HG. ‘Get alongside us’, women's experiences of being overweight and pregnant in Sydney, Australia. Matern Child Nutr. 2013;9(3):309‐321. doi: 10.1111/j.1740-8709.2011.00386.x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60. Olander EK, Atkinson L, Edmunds JK, French DP. The views of pre‐ and post‐natal women and health professionals regarding gestational weight gain: an exploratory study. Sex Reprod Health. 2011;2(1):43‐48. doi: 10.1016/j.srhc.2010.10.004 [DOI] [PubMed] [Google Scholar]
  • 61. Riggan KA, Rousseau AC, Dsouza KN, et al. Patient perceptions of body mass index restrictions limiting fertility care for women with high body mass index. Reprod Biomed Online. 2023;47(2):103210. doi: 10.1016/j.rbmo.2023.04.001 [DOI] [PubMed] [Google Scholar]
  • 62. Schmied VA, Duff M, Dahlen HG, Mills AE, Kolt GS. 'Not waving but drowning': a study of the experiences and concerns of midwives and other health professionals caring for obese childbearing women. Midwifery. 2011;27(4):424‐430. doi: 10.1016/j.midw.2010.02.010 [DOI] [PubMed] [Google Scholar]
  • 63. Shahbazzadegan S. The experience of pregnancy in women with high body mass: a hermeneutical/phenomenological study. J Health Res. 2019;9(2):147‐155. doi: 10.29252/jrh.9.2.147 [DOI] [Google Scholar]
  • 64. Shaw RM, Fehoko E. Epistemic injustice and body mass index: examining Māori and Pacific women's access to fertility treatment in Aotearoa New Zealand. Fat Stud. 2023;12(2):338‐352. doi: 10.1080/21604851.2022.2063507 [DOI] [Google Scholar]
  • 65. Singletone G, Furber C. The experiences of midwives when caring for obese women in labour, a qualitative study. Midwifery. 2014;30(1):103‐111. doi: 10.1016/j.midw.2013.02.008 [DOI] [PubMed] [Google Scholar]
  • 66. Smith DM, Cooke A, Lavender T. Maternal obesity is the new challenge; a qualitative study of health professionals' views towards suitable care for pregnant women with a body mass index (BMI) ≥30 kg/m2. BMC Pregnancy Childbirth. 2012;12(1):157. doi: 10.1186/1471-2393-12-157 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67. Stotland NE, Gilbert P, Bogetz A, Harper CC, Abrams B, Gerbert B. Preventing excessive weight gain in pregnancy: how do prenatal care providers approach counseling? J Womens Health. 2010;19(4):807‐814. doi: 10.1089/jwh.2009.1462 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68. Tovar A, Chasan‐Taber L, Bermudez OI, Hyatt RR, Must A. Knowledge, attitudes, and beliefs regarding weight gain during pregnancy among Hispanic women. Maternal and Child Health J. 2010;14(6):938‐949. doi: 10.1007/s10995-009-0524-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69. Parker G. Shamed into health? Fat pregnant women's views on obesity management strategies in maternity care. Women's Studies Journal. 2017;31(1):22‐33. [Google Scholar]
  • 70. Amy NK, Aalborg A, Lyons P, Keranen L. Barriers to routine gynecological cancer screening for white and African‐American obese women. Int J Obes (Lond). 2006;30(1):147‐155. doi: 10.1038/sj.ijo.0803105 [DOI] [PubMed] [Google Scholar]
  • 71. Basinger ED, Quinlan MM, Rawlings M. Memorable messages about fat bodies before, during, and after pregnancy. Health Commun. 2022;38(13):3069‐3079. doi: 10.1080/10410236.2022.2131982 [DOI] [PubMed] [Google Scholar]
  • 72. Brown A, Avery A. Healthy weight management during pregnancy: what advice and information is being provided. J Hum Nutr Diet. 2012;25(4):378‐387. doi: 10.1111/j.1365-277X.2012.01231.x [DOI] [PubMed] [Google Scholar]
  • 73. Ferrante JM, Piasecki AK, Ohman‐Strickland PA, Crabtree BF. Family physicians' practices and attitudes regarding care of extremely obese patients. Obesity (Silver Spring). 2009;17(9):1710‐1716. doi: 10.1038/oby.2009.62 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 74. Grohmann B, Brazeau‐Gravelle P, Momoli F, et al. Obstetric healthcare providers' perceptions of communicating gestational weight gain recommendations to overweight/obese pregnant women. Obstet Med. 2012;5(4):161‐165. doi: 10.1258/om.2012.120003 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75. Harris ID, Python J, Roth L, Alvero R, Murray S, Schlaff WD. Physicians' perspectives and practices regarding the fertility management of obese patients. Fertil Steril. 2011;96(4):991‐992. doi: 10.1016/j.fertnstert.2011.07.1111 [DOI] [PubMed] [Google Scholar]
  • 76. Herring SJ, Platek DN, Elliott P, Riley LE, Stuebe AM, Oken E. Addressing obesity in pregnancy: what do obstetric providers recommend? J Womens Health. 2010;19(1):65‐70. doi: 10.1089/jwh.2008.1343 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 77. Ingraham N, Roberts SCM, Weitz TA. Prior family planning experiences of obese women seeking abortion care. Womens Health Issues. 2014;24(1):e125‐e130. doi: 10.1016/j.whi.2013.10.008 [DOI] [PubMed] [Google Scholar]
  • 78. Kair LR, Colaizy TT. Obese mothers have lower odds of experiencing pro‐breastfeeding hospital practices than mothers of Normal weight: CDC pregnancy risk assessment monitoring system (PRAMS), 2004–2008. Matern Child Health J. 2016;20(3):593‐601. doi: 10.1007/s10995-015-1858-z [DOI] [PubMed] [Google Scholar]
  • 79. Kelley AS, Badon SE, Lanham MSM, Fisseha S, Moravek MB. Body mass index restrictions in fertility treatment: a national survey of OBGYN subspecialists. J Assist Reprod Genet. 2019;36(6):1117‐1125. doi: 10.1007/s10815-019-01448-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 80. Maheshwari A, Scotland G, Bell J, McTavish A, Hamilton M, Bhattacharya S. The direct health services costs of providing assisted reproduction services in overweight or obese women: a retrospective cross‐sectional analysis. Hum Reprod. 2008;24(3):633‐639. doi: 10.1093/humrep/den424 [DOI] [PubMed] [Google Scholar]
  • 81. McDonald SD, Pullenayegum E, Taylor VH, et al. Despite 2009 guidelines, few women report being counseled correctly about weight gain during pregnancy. Am J Obstet Gynecol. 2011;205(4):333.e1‐.e6. [DOI] [PubMed] [Google Scholar]
  • 82. McParlin C, Bell R, Robson SC, Muirhead CR, Araujo‐Soares V. What helps or hinders midwives to implement physical activity guidelines for obese pregnant women? A questionnaire survey using the theoretical domains framework. Midwifery. 2017;49:110‐116. doi: 10.1016/j.midw.2016.09.015 [DOI] [PubMed] [Google Scholar]
  • 83. Pandey S, McLernon DJ, Scotland G, Mollison J, Wordsworth S, Bhattacharya S. Cost of fertility treatment and live birth outcome in women of different ages and BMI. Hum Reprod. 2014;29(10):2199‐2211. doi: 10.1093/humrep/deu184 [DOI] [PubMed] [Google Scholar]
  • 84. Power ML, Cogswell ME, Schulkin J. Obesity prevention and treatment practices of U.S. obstetrician–gynecologists. Obstet Gynecol. 2006;108(4):961‐968. doi: 10.1097/01.AOG.0000233171.20484.db [DOI] [PubMed] [Google Scholar]
  • 85. Stewart ZA, Wallace E, Allan C. Weight gain in pregnancy: a survey of current practices in a teaching hospital. Aust N Z J Obstet Gynaecol. 2012;52(2):208‐210. doi: 10.1111/j.1479-828X.2012.01418.x [DOI] [PubMed] [Google Scholar]
  • 86. Swift JA, Pearce J, Jethwa PH, et al. Antenatal weight management: women's experiences, behaviours, and expectations of weighing in early pregnancy. J Pregnancy. 2016;2016:8454759. doi: 10.1155/2016/8454759 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 87. Washington Cole KO, Gudzune KA, Bleich SN, et al. Providing prenatal care to pregnant women with overweight or obesity: differences in provider communication and ratings of the patient‐provider relationship by patient body weight. Patient Educ Couns. 2017;100(6):1103‐1110. doi: 10.1016/j.pec.2016.12.030 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 88. Wilkinson SA, Poad D, Stapleton H. Maternal overweight and obesity: a survey of clinicians' characteristics and attitudes, and their responses to their pregnant clients. BMC Pregnancy Childbirth. 2013;13(1):117.51. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 89. Wilkinson SA, Stapleton H. Overweight and obesity in pregnancy: the evidence‐practice gap in staff knowledge, attitudes and practices. Aust N Z J Obstet Gynaecol. 2012;52(6):588‐592. doi: 10.1111/ajo.12011 [DOI] [PubMed] [Google Scholar]
  • 90. Yager Z, Calleja‐Agius J, Jagomagi T, et al. European health professionals' knowledge, attitudes and beliefs about perinatal depression and body image concerns. Adv Ment Health. 2023;21(3):1‐14. doi: 10.1080/18387357.2023.2210703 [DOI] [Google Scholar]
  • 91. Basinger ED, Quinlan MM. “She Didn't think fat women deserved to have children”: memorable messages from healthcare providers in the context of fat pregnancy. JWRH. 2023;11(1):33‐47. [Google Scholar]
  • 92. Heslehurst N, Russell S, Brandon H, Johnston C, Summerbell C, Rankin J. Women's perspectives are required to inform the development of maternal obesity services: a qualitative study of obese pregnant women's experiences. Health Expect. 2015;18(5):969‐981. doi: 10.1111/hex.12070 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 93. Channon S, Coulman E, Cannings‐John R, et al. The acceptability of asking women to delay removal of a long‐acting reversible contraceptive to take part in a preconception weight loss programme: a mixed methods study using qualitative and routine data (plan‐it). BMC Pregnancy Childbirth. 2022;22(1):778. doi: 10.1186/s12884-022-05077-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 94. Doughty R. An Interpretive Exploration of the Experiences of Mothers with Obesity and Midwives Who Care for the Obese Mother during Childbearing . Dissertation. De Montfort University; 2019. Accessed April 16, 2024. https://core.ac.uk/download/pdf/228193246.pdf
  • 95. Lessard LN. Obesity and contraception. Dissertation Abstracts International: Section B: The Sciences and Engineering. 2015;76(4‐B(E)).
  • 96. Paik‐Nicely MA. Body weight and contraceptive considerations: an explorative pilot study of obstetrician‐gynecologist approaches to contraceptive Care for Obese Women. Dissertation. University of California; 2012. Accessed April 16, 2024. https://escholarship.org/uc/item/0ff043fh [Google Scholar]
  • 97. Australian Government . National Women's Health Strategy 2020‐2030, accessed April 19, 2024, https://www.health.gov.au/sites/default/files/documents/2021/05/national-women-s-health-strategy-2020-2030_0.pdf
  • 98. Maternity and New‐born Clinical Network . Care of the Obese Pregnant Woman and Weight Management in Pregnancy. Accessed April 19, 2024. https://content.health.vic.gov.au/sites/default/files/migrated/files/collections/policies-and-guidelines/c/care-of-the-obese-pregnant-woman.pdf
  • 99. National Institute for Health and Care Excellence . Weight management before, during and after pregnancy, accessed April 19, 2024. https://www.nice.org.uk/guidance/ph27
  • 100. National Institute of Care and Excellence . Diabetes in pregnancy: management from preconception to the postnatal period. Accessed April 18, 2024. https://www.nice.org.uk/guidance/ng3 [PubMed]
  • 101. Royal Australasian College of Physicians . Senate Community Affairs Committee inquiry into universal access to reproductive healthcare, accessed April 16, 2024. https://www.racp.edu.au//docs/default-source/advocacy-library/racp-submission-to-senate-community-affairs-committee-inquiry-into-universal-access-to-reproductive-healthcare.pdf?sfvrsn=9582d11a_4
  • 102. RANZCOG . Management of Obesity in Pregnancy, accessed April 19, 2024. https://ranzcog.edu.au/wp-content/uploads/2022/05/Management-of-Obesity-in-Pregnancy.pdf
  • 103. Royal College of Obstetricians and Gynaecologists . Management of Women with Obesity in Pregnancy. https://www.publichealth.hscni.net/sites/default/files/CMACE-RCOG%20Joint%20Guideline-Management%20of%20women%20with%20obesity%20in%20pregnancy.pdf
  • 104. Denison F, Aedla N, Keag O, et al. Care of Women with obesity in pregnancy. BJOG. 2019;126(3):e62‐e106. doi: 10.1111/1471-0528.15386 [DOI] [PubMed] [Google Scholar]
  • 105. United Kingdom Government . Health matters: reproductive health and pregnancy planning. accessed April 18, 2024. https://www.gov.uk/government/publications/health-matters-reproductive-health-and-pregnancy-planning/health-matters-reproductive-health-and-pregnancy-planning
  • 106. Baker SR, Precilla YL, Henshaw CA, Tree J. ‘I felt as though I'd been in jail’: Women's experiences of maternity care during labour, delivery and the immediate postpartum. Fem Psychol. 2005;15(3):315‐342. doi: 10.1177/0959-353505054718 [DOI] [Google Scholar]
  • 107. Holt G, Hughes D. A study using semi‐structured interview and Delphi survey to explore the barriers and enabling factors that influence access and utilisation of weight management services for people living with morbid obesity: a patient and professional perspective. J Hum Nutr Diet. 2021;34(1):215‐233. doi: 10.1111/jhn.12832 [DOI] [PubMed] [Google Scholar]
  • 108. Heslehurst N, Dinsdale S, Sedgewick G, Simpson H, Sen S, Summerbell CD. Rankin J an evaluation of the implementation of maternal obesity pathways of care: a mixed methods study with data integration. PLoS ONE. 2015;10(5):e0127122. doi: 10.1371/journal.pone.0127122 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 109. Lessard LN, Karasek D, Ma S, et al. Contraceptive features preferred by women at high risk of unintended pregnancy. Perspect Sex Reprod Health. 2012;44(3):194‐200. [DOI] [PubMed] [Google Scholar]
  • 110. Brown I, Thompson J, Tod A, Jones G. Primary care support for tackling obesity: a qualitative study of the perceptions of obese patients. Br J Gen Pract. 2006;56(530):666‐672. [PMC free article] [PubMed] [Google Scholar]
  • 111. Ryan L, Coyne R, Heary C, et al. Walsh JC weight stigma experienced by patients with obesity in healthcare settings: a qualitative evidence synthesis. Obes Rev. 2023;24(10):e13606. doi: 10.1111/obr.13606 [DOI] [PubMed] [Google Scholar]
  • 112. Gooey M, Bacus C, Ramachandran D, Piya M, Baur L. Health service approaches to providing care for people who seek treatment for obesity: identifying challenges and ways forward. Public Health Res Pract. 2022;32(3):3232228. doi: 10.17061/phrp3232228 [DOI] [PubMed] [Google Scholar]
  • 113. Kilpatrick ML, Venn AJ, Barnden KR, et al. Jose KA health system and individual barriers to supporting healthy gestational weight gain and nutrition: a qualitative study of the experiences of midwives and obstetricians in publicly funded antenatal Care in Tasmania, Australia. Nutrients. 2024;16(9):1251. doi: 10.3390/nu16091251 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 114. Insight . Accessibility, cost of game‐changing obesity drugs problematic, 2022, retrieved April 24, 2024, https://insightplus.mja.com.au/2022/24/accessibility-cost-of-game-changing-obesity-drugs-problematic/
  • 115. Doshi RS, Bleich SN, Gudzune KA. Health Professionals' perceptions of insurance coverage for weight loss services. Obes Sci Pract. 2017;3(4):384‐389. doi: 10.1002/osp4.137 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 116. Australian Medical Association . Position Statement: Obesity, 2016. accessed April 16, 2024, https://www.ama.com.au/contact-us
  • 117. Kyle TK, Dhurandhar EJ, Allison DB. Regarding obesity as a disease. Endocrinol Metab Clin N am. 2016;45(3):511‐520. doi: 10.1016/j.ecl.2016.04.004 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 118. Luli M, Yeo G, Farrell E, et al. The implications of defining obesity as a disease: a report from the Association for the Study of obesity 2021 annual conference. eClinicalMedicine. 2023;58:101962. doi: 10.1016/j.eclinm.2023.101962 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 119. Phelan SM, Burgess DJ, Yeazel MW, Hellerstedt WL, Griffin JM, van Ryn M. Impact of weight bias and stigma on quality of care and outcomes for patients with obesity. Obes Rev. 2015;16(4):319‐326. doi: 10.1111/obr.12266 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 120. Winter VR, Trout K, Harrop E, O'Neill E, Puhl R, Bartlett‐Esquilant G. Women's refusal to be weighed during healthcare visits: links to body image. Body Image. 2023;46:41‐47. doi: 10.1016/j.bodyim.2023.04.006 [DOI] [PubMed] [Google Scholar]
  • 121. Tylka TL, Annunziato RA, Burgard D, Daníelsdóttir S, Shuman E, Davis C. Calogero RM the weight‐inclusive versus weight‐normative approach to health: evaluating the evidence for prioritizing well‐being over weight loss. J Obes. 2014;2014:983495. doi: 10.1155/2014/983495 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 122. Clifford D, Ozier A, Bundros J, Moore J, Kreiser A, Morris MC. Impact of non‐diet approaches on attitudes, behaviors, and health outcomes: a systematic review. J Nutr Educ Behav. 2014;47(2):143‐155. doi: 10.1016/j.jneb.2014.12.002 [DOI] [PubMed] [Google Scholar]
  • 123. Batterham RL. Weight stigma in healthcare settings is detrimental to health and must be eradicated. Nat Rev Endocinol. 2022;18(7):387‐388. doi: 10.1038/s41574-022-00686-3 [DOI] [PubMed] [Google Scholar]
  • 124. Alberga AS, Nutter S, MacInnis C, Ellard JH, Russell‐Mayhew S. Examining weight bias among practicing Canadian family physicians. Obes Facts. 2019;12(6):632‐638. doi: 10.1159/000503751 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 125. Mazza D, Chapman A, Michie S. Barriers to the implementation of preconception care guidelines as perceived by general pracitioners: a qualitative study. BMC Health Serv Res 2013;13:36. doi: 10.1186/1472-6963-13-36 [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Table S1: Search strategy for Ovid Medline Search conducted: 26/06/2023.

Table S2: Search strategy for PsycINFO Search conducted: 27/06/2023.

Table S3: Search strategy for CINAHL Search conducted: 27/06/2023

Table S4: Search strategy for Web of Science Search conducted: 27/06/2023.

Table S5: Search strategy for Scopus Search conducted: 27/06/2023.

Table S6: Gray literature sources, search terms, and results.

Table S7: Overall search terms used in review (adapted to each database.

Table S8: Detailed eligibility criteria based on PICOS(population, intervention/exposure, comparison, outcome, study type) model.

Table S9: Characteristics of included quantitative, qualitative, and mixed‐methods studies.

Table S10: Characteristics and recommendations of government policies related to women of reproductive age.

Table S11: Summary table of characteristics for primary studies and government policies.

Table S12: Quality assessment for qualitative studies using the CASP checklist.

Table S13: Quality assessment for quantitative studies using the CEBMa.

Table S1: Reasons for exclusion.

OBR-26-e13933-s001.docx (188.1KB, docx)

Data Availability Statement

None to disclose.


Articles from Obesity Reviews are provided here courtesy of Wiley

RESOURCES