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Weir TL, Majumder M, Glastras SJ. A systematic review of the effects of maternal obesity on neonatal outcomes in women with gestational diabetes. Obes Rev 2024; 25:e13747. [PMID: 38679418 DOI: 10.1111/obr.13747] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Revised: 10/03/2023] [Accepted: 03/19/2024] [Indexed: 05/01/2024]
Abstract
Maternal obesity and gestational diabetes mellitus (GDM) prevalence are increasing, with both conditions associated with adverse neonatal outcomes. This review aimed to determine the risk of adverse outcomes in women with obesity and GDM, compared with women with obesity alone. A systematic search identified 28 eligible articles. Meta-analysis was conducted using a random effects model, to generate pooled estimates (odds ratios, OR, or mean difference, MD). Compared with normal-weight controls, women with obesity had increased risks of large for gestational age (LGA, OR 1.98, 95% CI: 1.56, 2.52) and macrosomia (OR 2.93, 95% CI: 1.71, 5.03); the latter's risk almost double in women with obesity than GDM. Birth weight (MD 113 g, 95% CI: 69, 156) and shoulder dystocia (OR 1.23, 95% CI: 0.85, 1.78) risk was also higher. GDM significantly amplified neonatal risk in women with obesity, with a three- to four-fold risk of LGA (OR 3.22, 95% CI: 2.17, 4.79) and macrosomia (OR 3.71, 95% CI: 2.76, 4.98), as well as higher birth weights (MD 176 g, 95% CI: 89, 263), preterm delivery (OR 1.49, 95% CI: 1.25, 1.77), and shoulder dystocia (OR 1.99, 95% CI: 1.31, 3.03), when compared with normal-weight controls. Our findings demonstrate that maternal obesity increases serious neonatal adverse risk, magnified by the presence of GDM. Effective strategies are needed to safeguard against neonatal complications associated with maternal obesity, regardless of GDM status.
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Affiliation(s)
- Tessa L Weir
- Kolling Institute, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
- Department of Diabetes, Endocrinology & Metabolism, Royal North Shore Hospital, St Leonards, New South Wales, Australia
- Department of Endocrinology, Nepean-Blue Mountains Hospital, Kingswood, New South Wales, Australia
| | - Monica Majumder
- Department of Diabetes, Endocrinology & Metabolism, Royal North Shore Hospital, St Leonards, New South Wales, Australia
| | - Sarah J Glastras
- Kolling Institute, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
- Department of Diabetes, Endocrinology & Metabolism, Royal North Shore Hospital, St Leonards, New South Wales, Australia
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AlAnnaz WAA, Gouda ADK, Abou El-Soud FA, Alanazi MR. Obesity Prevalence and Its Impact on Maternal and Neonatal Outcomes among Pregnant Women: A Retrospective Cross-Sectional Study Design. NURSING REPORTS 2024; 14:1236-1250. [PMID: 38804427 PMCID: PMC11130889 DOI: 10.3390/nursrep14020094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2024] [Revised: 05/10/2024] [Accepted: 05/15/2024] [Indexed: 05/29/2024] Open
Abstract
BACKGROUND The escalating prevalence of obesity in women of reproductive age raises concerns about its impact on maternal and fetal health during pregnancy. This study aimed to thoroughly assess how obesity affects pregnancy and neonatal outcomes among Saudi pregnant women. METHODS In a retrospective cross-sectional study, we analyzed 8426 pregnant women who delivered at King Fahad National Guard Hospital in Riyadh in 2021. Of these, 3416 had obesity, and 341 of them, meeting the inclusion criteria, were selected. Maternal and neonatal outcomes were compiled using a structured questionnaire and extracted from the hospital's "Best Care" data-based registration system. RESULTS The findings highlighted that 40.5% of pregnant women were classified as obese, with almost half falling into obesity class II based on BMI. Obesity correlated significantly with adverse maternal outcomes like gestational diabetes and increased rates of cesarean deliveries. Additionally, maternal obesity was linked to unfavorable fetal outcomes, including higher rates of newborn intensive care unit admissions, lower APGAR scores at 1 min, and a greater likelihood of macrosomia. CONCLUSIONS This study underscores the important impact of maternal obesity on both maternal and fetal health during pregnancy. Addressing this high-risk condition demands targeted educational programs for women of reproductive age focusing on BMI control, dietary adjustments, and lifestyle modifications to mitigate obesity-related complications during pregnancy.
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Affiliation(s)
- Wejdan Abdullah A. AlAnnaz
- College of Nursing, King Saud Bin Abdul Aziz University for Health Sciences (KSAU-HS), Riyadh 14611, Saudi Arabia; (W.A.A.A.); (A.D.K.G.); (F.A.A.E.-S.)
- King Abdullah International Medical Research Center, Riyadh 11481, Saudi Arabia
- Ministry of the National Guard—Health Affairs, Riyadh 11426, Saudi Arabia
| | - Amel Dawod Kamel Gouda
- College of Nursing, King Saud Bin Abdul Aziz University for Health Sciences (KSAU-HS), Riyadh 14611, Saudi Arabia; (W.A.A.A.); (A.D.K.G.); (F.A.A.E.-S.)
- King Abdullah International Medical Research Center, Riyadh 11481, Saudi Arabia
- Ministry of the National Guard—Health Affairs, Riyadh 11426, Saudi Arabia
- Maternal and Newborn Health Nursing, Faculty of Nursing, Cairo University, Giza 11562, Egypt
| | - Faiza Ahmed Abou El-Soud
- College of Nursing, King Saud Bin Abdul Aziz University for Health Sciences (KSAU-HS), Riyadh 14611, Saudi Arabia; (W.A.A.A.); (A.D.K.G.); (F.A.A.E.-S.)
- King Abdullah International Medical Research Center, Riyadh 11481, Saudi Arabia
- Ministry of the National Guard—Health Affairs, Riyadh 11426, Saudi Arabia
| | - Mona R Alanazi
- College of Nursing, King Saud Bin Abdul Aziz University for Health Sciences (KSAU-HS), Riyadh 14611, Saudi Arabia; (W.A.A.A.); (A.D.K.G.); (F.A.A.E.-S.)
- King Abdullah International Medical Research Center, Riyadh 11481, Saudi Arabia
- Ministry of the National Guard—Health Affairs, Riyadh 11426, Saudi Arabia
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Silva B, Pereira CA, Cidade-Rodrigues C, Chaves C, Melo A, Gomes V, Silva VB, Araújo A, Machado C, Saavedra A, Figueiredo O, Martinho M, Almeida MC, Morgado A, Almeida M, Cunha FM. Development and internal validation of a clinical score to predict neonatal hypoglycaemia in women with gestational diabetes. Endocrine 2024:10.1007/s12020-024-03815-2. [PMID: 38602617 DOI: 10.1007/s12020-024-03815-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/08/2023] [Accepted: 03/29/2024] [Indexed: 04/12/2024]
Abstract
INTRODUCTION Gestational diabetes (GD) is a risk factor for neonatal hypoglycaemia (NH), but other factors can increase this risk. OBJECTIVES To create a score to predict NH in women with GD. METHODS Retrospective study of women with GD with a live singleton birth between 2012 and 2017 from the Portuguese GD registry. Pregnancies with and without NH were compared. A logistic regression was used to study NH predictors. Variables independently associated with NH were used to score derivation. The model's internal validation was performed by a bootstrapping. The association between the score and NH was assessed by logistic regression. RESULTS We studied 10216 pregnancies, 410 (4.0%) with NH. The model's AUC was 0.628 (95%CI: 0.599-0.657). Optimism-corrected c-index: 0.626. Points were assigned to variables associated with NH in proportion to the model's lowest regression coefficient: insulin-treatment 1, preeclampsia 3, preterm delivery 2, male sex 1, and small-for-gestational-age 2, or large-for-gestational-age 3. NH prevalence by score category 0-1, 2, 3, 4, and ≥5 was 2.3%, 3.0%, 4.5%, 6.0%, 7.4%, and 11.5%, respectively. Per point, the OR for NH was 1.35 (95% CI: 1.27-1.42). A score of 2, 3, 4, 5 or ≥6 (versus ≤1) had a OR for NH of 1.67 (1.29-2.15), 2.24 (1.65-3.04), 2.83 (2.02-3.98), 3.08 (1.83-5.16), and 6.84 (4.34-10.77), respectively. CONCLUSION Per each score point, women with GD had 35% higher risk of NH. Those with ≥6 points had 6.8-fold higher risk of NH compared to a score ≤1. Our score may be useful for identifying women at a higher risk of NH.
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Affiliation(s)
- Bruna Silva
- Endocrinology Department, Centro Hospitalar Tâmega e Sousa, Penafiel, Portugal.
| | - Catarina A Pereira
- Endocrinology Department, Centro Hospitalar Tâmega e Sousa, Penafiel, Portugal
| | | | - Catarina Chaves
- Endocrinology Department, Centro Hospitalar Tâmega e Sousa, Penafiel, Portugal
| | - Anabela Melo
- Gynaecology and Obstetrics Department, Centro Hospitalar Tâmega e Sousa, Penafiel, Portugal
| | - Vânia Gomes
- Endocrinology Department, Centro Hospitalar Tâmega e Sousa, Penafiel, Portugal
| | - Vânia Benido Silva
- Endocrinology Department, Centro Hospitalar Tâmega e Sousa, Penafiel, Portugal
| | - Alexandra Araújo
- Endocrinology Department, Centro Hospitalar Tâmega e Sousa, Penafiel, Portugal
| | - Cláudia Machado
- Endocrinology Department, Centro Hospitalar Tâmega e Sousa, Penafiel, Portugal
| | - Ana Saavedra
- Endocrinology Department, Centro Hospitalar Tâmega e Sousa, Penafiel, Portugal
| | - Odete Figueiredo
- Gynaecology and Obstetrics Department, Centro Hospitalar Tâmega e Sousa, Penafiel, Portugal
| | - Mariana Martinho
- Endocrinology Department, Centro Hospitalar Tâmega e Sousa, Penafiel, Portugal
| | - Maria Céu Almeida
- Gynaecology and Obstetrics Department, Centro Hospitalar Universitário de Coimbra, Coimbra, Portugal
| | - Ana Morgado
- Gynaecology and Obstetrics Department, Centro Hospitalar Tâmega e Sousa, Penafiel, Portugal
| | - Margarida Almeida
- Endocrinology Department, Centro Hospitalar Tâmega e Sousa, Penafiel, Portugal
| | - Filipe M Cunha
- Endocrinology Department, Centro Hospitalar Tâmega e Sousa, Penafiel, Portugal
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Adamczak L, Mantaj U, Sibiak R, Gutaj P, Wender-Ozegowska E. Physical activity, gestational weight gain in obese patients with early gestational diabetes and the perinatal outcome - a randomised-controlled trial. BMC Pregnancy Childbirth 2024; 24:104. [PMID: 38308265 PMCID: PMC10836025 DOI: 10.1186/s12884-024-06296-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2023] [Accepted: 01/28/2024] [Indexed: 02/04/2024] Open
Abstract
BACKGROUND Excessive gestational weight gain, especially among women with gestational diabetes, is associated with several adverse perinatal outcomes. Our study aimed to analyse the impact of the use of pedometers to supervise physical activity on maternal health and the obstetric outcomes of pregnant women with obesity and early gestational diabetes. METHODS 124 pregnant patients were enrolled in the presented research. INCLUSION CRITERIA singleton pregnancy, age > 18 years, gestational diabetes diagnosed in the first half of pregnancy (< 20th week of pregnancy), obesity according to the American Endocrine Society criteria. Each patient was advised to take at least 5000 steps daily. Patients were randomly assigned to pedometers (N = 62), and were recommended to monitor daily the number of steps. The group without pedometers (N = 62) was not observed. Visit (V1) was scheduled between the 28th and 32nd gestational week (GW), and visit (V2) occurred between the 37th and 39th GW. Anthropometric measurements and blood samples were collected from all patients at each appointment. Foetal and maternal outcomes were analysed at the end of the study. RESULTS In the group supervised by pedometers, there were significantly fewer newborns with macrosomia (p = 0,03). Only 45% of patients satisfied the recommended physical activity guidelines. Patients who walked more than 5000 steps per day had significantly higher body weight at baseline (p = 0,005), but weight gain was significantly lower than in the group that did not exceed 5000 steps per day (p < 0,001). The perinatal outcome in the group of patients performing more than 5000 steps did not demonstrate significant differences with when compared to less active group. ROC curve for weight gain above the guidelines indicated a statistically substantial cut-off point for this group at the level of 4210 steps/day (p = 0.00001). CONCLUSIONS Monitoring the activity of pregnant patients with gestational diabetes and obesity by pedometers did not have a significantly impact on their metabolic control and weight gain. However, it contributed to less macrosomia. Furthermore, physical activity over 5,000 steps per day positively affects weight loss, as well as contributes to improved obstetric and neonatal outcomes.
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Affiliation(s)
- Lukasz Adamczak
- Department of Reproduction, Chair of Fetomaternal Medicine, Poznan University of Medical Sciences, Poznan, Poland.
- Doctoral School, Poznan University of Medical Sciences, Poznan, Poland.
| | - Urszula Mantaj
- Department of Reproduction, Chair of Fetomaternal Medicine, Poznan University of Medical Sciences, Poznan, Poland
| | - Rafał Sibiak
- Department of Reproduction, Chair of Fetomaternal Medicine, Poznan University of Medical Sciences, Poznan, Poland
- Doctoral School, Poznan University of Medical Sciences, Poznan, Poland
- Department of Histology and Embryology, Poznan University of Medical Sciences, Poznan, Poland
| | - Paweł Gutaj
- Department of Reproduction, Chair of Fetomaternal Medicine, Poznan University of Medical Sciences, Poznan, Poland
| | - Ewa Wender-Ozegowska
- Department of Reproduction, Chair of Fetomaternal Medicine, Poznan University of Medical Sciences, Poznan, Poland
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Li Y, Kan X. Mendelian randomization analysis to analyze the genetic causality between different levels of obesity and different allergic diseases. BMC Pulm Med 2023; 23:352. [PMID: 37723557 PMCID: PMC10508031 DOI: 10.1186/s12890-023-02636-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Accepted: 09/06/2023] [Indexed: 09/20/2023] Open
Abstract
BACKGROUND The causal relationship between obesity and different allergic diseases remains controversial. METHODS The Two Sample MR package and Phenoscanner database were used to obtain and filter Genome-Wide Association Study (GWAS) data from the Open GWAS database. Mendelian randomization (MR) analysis was used to study the causal relationship between different levels of obesity and different allergic diseases. The data sets related to obesity and asthma were obtained from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were screened by the limma package. Cluster Profiler and GO plot packages were used for enrichment analysis to verify the results of MR analysis. RESULTS Two-sample MR analysis showed a causal relationship between obesity and childhood allergy (age < 16), allergic asthma and atopic dermatitis (P < 0.05). In addition, there was also a causal relationship between allergic asthma and obesity (P < 0.05), while there was no genetic causal relationship between obesity and allergic rhinitis, eczema, lactose intolerance and so on (P > 0.05). Subgroup analysis revealed a causal relationship between both class 1 and class 2 obesity and childhood allergy (age < 16) (P < 0.05). Obesity class 1 was associated with allergic asthma, while obesity class 3 was associated with atopic dermatitis (P < 0.05). Bioinformatics analysis shows that there were common DEGs between obesity and allergic asthma. CONCLUSION Obesity is a risk factor for childhood allergy (age < 16), allergic asthma and atopic dermatitis, while allergic asthma is also a risk factor for obesity. Class 1 and class 2 obesity are both causally associated with childhood allergy (age < 16). In addition, there is a causal relationship between milder obesity and allergic asthma, while heavier obesity is causally related to atopic dermatitis.
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Affiliation(s)
- Yujian Li
- Department of Pediatrics, General Hospital of Tianjin Medical University, No. 154, Anshan Road, Heping District, 300052, Tianjin, China
| | - Xuan Kan
- Department of Pediatrics, General Hospital of Tianjin Medical University, No. 154, Anshan Road, Heping District, 300052, Tianjin, China.
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Kebbe M, Most J, Altazan AD, Redman LM. No strong evidence of the protein leverage hypothesis in pregnant women with obesity and their infants. Obesity (Silver Spring) 2023; 31:2057-2064. [PMID: 37387452 PMCID: PMC10524422 DOI: 10.1002/oby.23789] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Revised: 03/28/2023] [Accepted: 04/03/2023] [Indexed: 07/01/2023]
Abstract
OBJECTIVE The goal of this study was to investigate the role of dietary protein on macronutrient and energy intake, maternal adiposity during pregnancy, and infant adiposity at birth. METHODS In 41 women with obesity, early-pregnancy (13-16 weeks) protein intake was assessed with food photography and expressed as a ratio of Estimated Average Requirements (EAR) in pregnancy for protein (0.88 g/kg/d), herein "protein balance." Energy intake was measured by the intake-balance method, gestational weight gain as grams per week, and fat mass by a three-compartment model. Spearman correlations and linear models were computed using R version 4.1.1 (p < 0.05 considered significant). RESULTS Women had a mean (SD) age of 27.5 (4.8) years and a pregravid BMI of 34.4 (2.9), kg/m2 , and the majority were non-White (n = 23, 56.1%). Protein balance in early pregnancy was not significantly associated with energy intake across mid and mid/late pregnancy (β = 328.7, p = 0.30 and β = 286.2, p = 0.26, respectively) or gestational weight gain (β = 117.0, p = 0.41). Protein balance was inversely associated with fat mass in early, mid, and late pregnancy (β = -10.6, p = 0.01, β = -10.4, p = 0.03, β = -10.3, p = 0.03, respectively). Protein balance did not predict infant adiposity at birth (p > 0.05). CONCLUSIONS Low protein intake may have been present before pregnancy, explaining early relationships with adiposity in this cohort. The protein leverage hypothesis is likely not implicated in the intergenerational transmission of obesity.
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Affiliation(s)
- Maryam Kebbe
- Reproductive Endocrinology & Women’s Health Laboratory, Pennington Biomedical Research Center, 6400 Perkins Road, Baton Rouge, LA 70808
| | - Jasper Most
- Zuyderland Medical Center, Limburg, Netherlands
| | - Abby D. Altazan
- Reproductive Endocrinology & Women’s Health Laboratory, Pennington Biomedical Research Center, 6400 Perkins Road, Baton Rouge, LA 70808
| | - Leanne M. Redman
- Reproductive Endocrinology & Women’s Health Laboratory, Pennington Biomedical Research Center, 6400 Perkins Road, Baton Rouge, LA 70808
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Aguree S, Zhang X, Reddy MB. Combined Effect of Maternal Obesity and Diabetes on Excessive Fetal Growth: Pregnancy Risk Assessment Monitoring System (PRAMS), United States, 2012-2015. AJPM FOCUS 2023; 2:100071. [PMID: 37790647 PMCID: PMC10546511 DOI: 10.1016/j.focus.2023.100071] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 10/05/2023]
Abstract
Introduction Obesity and dysregulation in glucose metabolism are risk factors for excessive fetal growth, but their combined effects are not often examined in a single study. Methods Data from the Centers for Disease Control and Prevention's Pregnancy Risk Assessment Monitoring System Phase 7 (2012-2015) were used. Logistic regression was used to investigate the association between maternal prepregnancy BMI and pre-existing diabetes/gestational diabetes on the odds of delivering a large-for-gestational-age infant or an infant with macrosomia. Results Complete data for 128,199 singleton births were used. The proportions of large-for-gestational-age infants and infants with macrosomia increased with the degree of obesity (p<0.001) and were higher in women with diabetes than in those without (p<0.001). Compared with the AOR among normal-weight women, the AOR of delivering large-for-gestational-age infants and infants with macrosomia among women with morbid obesity (BMI≥40) were 2.82 (p<0.001) and 2.67 (p<0.001), respectively. Compared with the AOR among nondiabetic women, the AOR of delivering a large-for-gestational-age infant was 1.88 (p<0.001) among those with pre-existing diabetes and 1.49 (p<0.001) among those with gestational diabetes. Except for the underweight group, women with pre-existing diabetes were nearly twice as likely to deliver a large-for-gestational-age infant as those with similar BMI without diabetes. Women with morbid obesity and gestational diabetes were twice as likely to have a large-for-gestational-age infant and an infant with macrosomia as nondiabetic women with normal BMI. Conclusions We have shown that when maternal obesity and diabetes, particularly pre-existing diabetes, occur together, the risk of delivering large-for-gestational-age and macrosomia increases significantly. Our findings call for public health attention to address maternal obesity and diabetes to minimize suboptimal fetal growth.
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Affiliation(s)
- Sixtus Aguree
- Department of Food Science and Human Nutrition, Iowa State University, Ames, Iowa
- Department of Applied Health Science, Indiana University School of Public Health, Bloomington, Indiana
| | - Xiaofei Zhang
- Department of Statistics, Iowa State University, Ames, Iowa
| | - Manju B. Reddy
- Department of Food Science and Human Nutrition, Iowa State University, Ames, Iowa
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Brizan JB, Amabebe E. Maternal Obesity as a Risk Factor for Caesarean Delivery in Sub-Saharan Africa: A Systematic Review. Life (Basel) 2022; 12:life12060906. [PMID: 35743937 PMCID: PMC9229092 DOI: 10.3390/life12060906] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Revised: 06/11/2022] [Accepted: 06/14/2022] [Indexed: 11/16/2022] Open
Abstract
Background: Maternal obesity is associated with several adverse reproductive outcomes. It is a growing public health burden in sub-Saharan Africa, a region with low resources and capacity to care for the large, affected population. Objectives: To assess the evidence of maternal obesity as a risk factor for caesarean delivery in women in sub-Saharan Africa. Methods: A systematic review of relevant original articles using PubMed, MEDLINE, and CINAHL was performed. Google Scholar and the reference lists of relevant systematic reviews and meta-analyses were also searched for other eligible studies. Observational studies assessing maternal body mass index (BMI) ≥ 30 kg/m2 before or during gestation and caesarean delivery as birth outcome were included. Results: All 17 studies were published between 2009 and 2021 and included 227,675 (236−153,102) participants. The prevalence of maternal obesity ranged from 3.9 to 44%. All except two studies (88%) indicated an association of obesity and risk of caesarean delivery in pregnant women in sub-Saharan Africa. Overweight/obese women had up to 4-fold increased risk of caesarean delivery compared to normal weight women. Three studies also reported a direct relationship between morbid obesity and prevalence of caesarean delivery in the sub-region. The risk of caesarean delivery appears to increase with increasing BMI e.g., >5 times in women with BMI ≥ 40 kg/m2 than in normal weight women. Conclusions: In sub-Saharan Africa, increased BMI in pregnancy is a risk factor for subsequent caesarean delivery. The risk of caesarean delivery appears to increase with increasing BMI. A robust meta-analysis and other patho-mechanistic studies can be conducted to confirm causal association. Culturally appropriate weight management and nutritional interventions should be implemented to reduce the incidence of obesity-induced caesarean delivery in sub-Saharan Africa.
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Affiliation(s)
- Jessica B. Brizan
- School of Health and Related Research, University of Sheffield, Sheffield S1 4DA, UK;
| | - Emmanuel Amabebe
- Department of Oncology and Metabolism, University of Sheffield, Sheffield S10 2SF, UK
- Correspondence:
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