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Takele WW, Vesco KK, Josefson J, Redman LM, Hannah W, Bonham MP, Chen M, Chivers SC, Fawcett AJ, Grieger JA, Habibi N, Leung GKW, Liu K, Mekonnen EG, Pathirana M, Quinteros A, Taylor R, Ukke GG, Zhou SJ, Lim S. Effective interventions in preventing gestational diabetes mellitus: A systematic review and meta-analysis. Commun Med (Lond) 2024; 4:75. [PMID: 38643248 PMCID: PMC11032369 DOI: 10.1038/s43856-024-00491-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Accepted: 03/22/2024] [Indexed: 04/22/2024] Open
Abstract
BACKGROUND Lifestyle choices, metformin, and dietary supplements may prevent GDM, but the effect of intervention characteristics has not been identified. This review evaluated intervention characteristics to inform the implementation of GDM prevention interventions. METHODS Ovid, MEDLINE/PubMed, and EMBASE databases were searched. The Template for Intervention Description and Replication (TIDieR) framework was used to examine intervention characteristics (who, what, when, where, and how). Subgroup analysis was performed by intervention characteristics. RESULTS 116 studies involving 40,940 participants are included. Group-based physical activity interventions (RR 0.66; 95% CI 0.46, 0.95) reduce the incidence of GDM compared with individual or mixed (individual and group) delivery format (subgroup p-value = 0.04). Physical activity interventions delivered at healthcare facilities reduce the risk of GDM (RR 0.59; 95% CI 0.49, 0.72) compared with home-based interventions (subgroup p-value = 0.03). No other intervention characteristics impact the effectiveness of all other interventions. CONCLUSIONS Dietary, physical activity, diet plus physical activity, metformin, and myoinositol interventions reduce the incidence of GDM compared with control interventions. Group and healthcare facility-based physical activity interventions show better effectiveness in preventing GDM than individual and community-based interventions. Other intervention characteristics (e.g. utilization of e-health) don't impact the effectiveness of lifestyle interventions, and thus, interventions may require consideration of the local context.
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Affiliation(s)
- Wubet Worku Takele
- Eastern Health Clinical School, Monash University, Melbourne, VIC, Australia
| | - Kimberly K Vesco
- Kaiser Permanente Northwest, Kaiser Permanente Center for Health Research, Oakland, USA
| | - Jami Josefson
- Northwestern University/ Lurie Children's Hospital of Chicago, Chicago, IL, USA
| | | | - Wesley Hannah
- Madras Diabetes Research Foundation Chennai, Chennai, India
- Deakin University, Melbourne, Australia
| | - Maxine P Bonham
- Department of Nutrition, Dietetics and Food, Monash University, Melbourne, VIC, Australia
| | - Mingling Chen
- Monash Centre for Health Research and Implementation, Monash University, Clayton, VIC, Australia
| | - Sian C Chivers
- Department of Women and Children's Health, King's College London, London, UK
| | - Andrea J Fawcett
- Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL, USA
- Department of Clinical & Organizational Development, University of Chicago, Chicago, IL, USA
| | - Jessica A Grieger
- Adelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, Australia
| | - Nahal Habibi
- Adelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, Australia
| | - Gloria K W Leung
- Department of Nutrition, Dietetics and Food, Monash University, Melbourne, VIC, Australia
| | - Kai Liu
- Department of Nutrition, Dietetics and Food, Monash University, Melbourne, VIC, Australia
| | | | - Maleesa Pathirana
- Adelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, Australia
| | - Alejandra Quinteros
- Adelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, Australia
| | - Rachael Taylor
- School of Health Sciences, University of Newcastle, Callaghan, NSW, Australia
| | - Gebresilasea G Ukke
- Eastern Health Clinical School, Monash University, Melbourne, VIC, Australia
| | - Shao J Zhou
- School of Agriculture, Food and Wine, The University of Adelaide, Adelaide, Australia
| | - Siew Lim
- Eastern Health Clinical School, Monash University, Melbourne, VIC, Australia.
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Yu Y, Ma Q, Groth SW. Prepregnancy dieting and obstetrical and neonatal outcomes: Findings from a national surveillance project in the United States. Midwifery 2024; 132:103972. [PMID: 38493519 DOI: 10.1016/j.midw.2024.103972] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Revised: 02/28/2024] [Accepted: 02/29/2024] [Indexed: 03/19/2024]
Abstract
PROBLEM AND BACKGROUND Women with overweight or obesity are recommended to lose weight before pregnancy. Dieting is one of the most used weight control strategies. However, the health implications of dieting before pregnancy remain unclear. AIM To evaluate the associations of dieting during the year before pregnancy with obstetrical and neonatal outcomes, including gestational weight gain (GWG), gestational diabetes, low birthweight, macrosomia, small-for-gestational-age infants (SGA), large-for-gestational-age infants (LGA), and preterm birth. METHODS This study analyzed data from the Pregnancy Risk Assessment Monitoring System (PRAMS), which is a surveillance project in the United States that collects data on maternal health before, during, and after pregnancy. Women who participated in PRAMS phase 7 with a prepregnancy body mass index ≥25 kg/m2 and a singleton birth were eligible. Statistical analyses included logistic regressions and post-hoc mediation analysis (Sobel Test). FINDINGS A total number of 51,399 women were included in the analysis. Women who self-reported prepregnancy dieting (42.8 %) had lower odds of SGA (adjusted odds ratio [aOR]: 0.87; 95 % CI: 0.79-0.97), and higher odds of excessive GWG vs adequate GWG (aOR: 1.42; 95 % CI: 1.32-1.52), gestational diabetes (aOR: 1.12; 95 % CI: 1.02-1.22), and LGA (aOR: 1.18; 95 % CI: 1.08-1.28). Furthermore, the association between prepregnancy dieting and LGA was mediated by excessive GWG (Sobel Test z-value = 5.72, p < 0.01). DISCUSSION AND CONCLUSION This analysis revealed that prepregnancy dieting was associated with several adverse consequences, including excessive GWG, gestational diabetes, and LGA infants. Findings contribute to an improved understanding of the perinatal implications of prepregnancy dieting.
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Affiliation(s)
- Yang Yu
- School of Nursing, University of Rochester, 601 Elmwood Avenue, Rochester, NY, 14642, USA.
| | - Qianheng Ma
- Department of Psychiatry and Behavioral Sciences, Stanford University, 401 Quarry Rd, Stanford, CA, 94305, USA
| | - Susan W Groth
- School of Nursing, University of Rochester, 601 Elmwood Avenue, Rochester, NY, 14642, USA
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Yu Y, Ma Q, Groth S. Prepregnancy weight loss and maternal metabolic and inflammatory biomarkers during pregnancy: An analysis of National Health and Nutrition Examination Survey. J Obstet Gynaecol Res 2024. [PMID: 38369640 DOI: 10.1111/jog.15904] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2023] [Accepted: 01/31/2024] [Indexed: 02/20/2024]
Abstract
AIM Women with overweight or obesity are recommended to lose weight before conception to optimize pregnancy outcomes. However, the obstetrical implications of prepregnancy weight loss have been minimally examined. The objective of this study was to investigate the association between prepregnancy weight loss and maternal metabolic and inflammatory profiles during a subsequent pregnancy. METHODS This study was a retrospective analysis of National Health and Nutrition Examination Survey data (2003-2018). Participants were women who were pregnant at the time of assessment. Prepregnancy weight loss was described as percent weight change based on self-reported baseline (1 year before pregnancy) and prepregnancy weight. Metabolic (e.g., blood pressure [BP]) and inflammatory biomarkers (i.e., high-sensitivity C-reactive protein [hs-CRP]) were determined by standard medical tests. Statistical analyses included linear regressions with appropriate imputation, weighting, and variance estimation techniques. RESULTS Participants (N = 236) reported a mean percent weight loss of 4.6% (standard error [SE] = 0.3%) during the year before pregnancy. Regression models showed that prepregnancy weight loss was inversely associated with levels of total cholesterol (β = -1.24, p = 0.01), low-density lipoprotein-cholesterol (β = -0.79, p < 0.01), and high-density lipoprotein-cholesterol (β = -0.18, p < 0.01). The effect of prepregnancy weight loss on BP, insulin sensitivity, and hs-CRP was not significant, although there was a trend toward higher levels of diastolic BP (β = 0.24, p = 0.07) and hs-CRP (β = 0.10, p = 0.08). CONCLUSIONS This study found favorable changes in lipid profiles following prepregnancy weight loss. Due to limitations such as a relatively small sample size, self-reported weight measures, and missing data on several outcome variables, future studies are needed to confirm study findings.
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Affiliation(s)
- Yang Yu
- School of Nursing, University of Rochester, Rochester, New York, USA
| | - Qianheng Ma
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California, USA
| | - Susan Groth
- School of Nursing, University of Rochester, Rochester, New York, USA
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4
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Phelan S, Jelalian E, Coustan D, Caughey AB, Castorino K, Hagobian T, Muñoz-Christian K, Schaffner A, Shields L, Heaney C, McHugh A, Wing RR. Randomized controlled trial of prepregnancy lifestyle intervention to reduce recurrence of gestational diabetes mellitus. Am J Obstet Gynecol 2023; 229:158.e1-158.e14. [PMID: 36758710 DOI: 10.1016/j.ajog.2023.01.037] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Revised: 01/26/2023] [Accepted: 01/30/2023] [Indexed: 02/10/2023]
Abstract
BACKGROUND Preconception lifestyle intervention holds potential for reducing gestational diabetes mellitus, but clinical trial data are lacking. OBJECTIVE This study aimed to determine the effects of a prepregnancy weight loss intervention on gestational diabetes mellitus recurrence in women with overweight/obesity and previous gestational diabetes mellitus. STUDY DESIGN A 2-site, randomized controlled trial comparing a prepregnancy lifestyle intervention with educational control was conducted between December 2017 and February 2022. A total of 199 English- and Spanish-speaking adults with overweight/obesity and previous gestational diabetes mellitus were randomized to a 16-week prepregnancy lifestyle intervention with ongoing treatment until conception or educational control. The primary outcome was gestational diabetes mellitus recurrence. Analyses excluded 6 participants who conceived but did not have gestational diabetes mellitus ascertained by standard methods. RESULTS In the 63 (33%) women who conceived and had gestational diabetes mellitus ascertained (Ns=38/102 [37%] intervention vs 25/91 [28.0%] control; P=.17), those in the intervention group had significantly greater weight loss at 16 weeks compared with controls (4.8 [3.4-6.0] vs 0.7 [-0.9 to 2.3] kg; P=.001) and a greater proportion lost ≥5% of body weight (50.0% [17/34] vs 13.6% [3/22]; P=.005). There was no significant difference in the incidence of gestational diabetes mellitus recurrence between the intervention (57.9% [ns=23/38]) and the control group (44.0% [ns=11/25]; odds ratio, 1.8 [0.59-5.8]). Independent of group, greater prepregnancy weight loss predicted 21% lower odds of gestational diabetes mellitus recurrence (odds ratio, 0.79 [0.66-0.94]; P=.008). A ≥5% weight loss before conception reduced the odds of gestational diabetes mellitus recurrence by 82% (odds ratio, 0.18 [0.04-0.88]; P=.03). CONCLUSION Lifestyle intervention produced considerable prepregnancy weight loss but did not affect gestational diabetes mellitus rates. Given that the conception rate was 50% lower than expected, this study was underpowered.
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Affiliation(s)
- Suzanne Phelan
- Department of Kinesiology and Public Health, Center for Health Research, California Polytechnic State University, San Luis Obispo, San Luis Obispo, CA.
| | - Elissa Jelalian
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School, Brown University, Providence, RI; Weight Control and Diabetes Research Center, Miriam Hospital, Providence, RI
| | - Donald Coustan
- Department of Obstetrics and Gynecology, Warren Alpert Medical School, Brown University, Providence, RI
| | - Aaron B Caughey
- Department of Obstetrics and Gynecology, Oregon Health & Science University, Portland, OR
| | | | - Todd Hagobian
- Department of Kinesiology and Public Health, Center for Health Research, California Polytechnic State University, San Luis Obispo, San Luis Obispo, CA
| | - Karen Muñoz-Christian
- Department of World Languages and Cultures, California Polytechnic State University, San Luis Obispo, San Luis Obispo, CA
| | - Andrew Schaffner
- Statistics Department, California Polytechnic State University, San Luis Obispo, San Luis Obispo, CA
| | | | - Casey Heaney
- Department of Kinesiology and Public Health, Center for Health Research, California Polytechnic State University, San Luis Obispo, San Luis Obispo, CA
| | - Angelica McHugh
- Weight Control and Diabetes Research Center, Miriam Hospital, Providence, RI
| | - Rena R Wing
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School, Brown University, Providence, RI; Weight Control and Diabetes Research Center, Miriam Hospital, Providence, RI
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Abstract
Pregnancy is commonly referred to as a window into future CVH (cardiovascular health). During pregnancy, physiological adaptations occur to promote the optimal growth and development of the fetus. However, in approximately 20% of pregnant individuals, these perturbations result in cardiovascular and metabolic complications, which include hypertensive disorders of pregnancy, gestational diabetes, preterm birth, and small-for-gestational age infant. The biological processes that lead to adverse pregnancy outcomes begin before pregnancy with higher risk of adverse pregnancy outcomes observed among those with poor prepregnancy CVH. Individuals who experience adverse pregnancy outcomes are also at higher risk of subsequent development of cardiovascular disease, which is largely explained by the interim development of traditional risk factors, such as hypertension and diabetes. Therefore, the peripartum period, which includes the period before (prepregnancy), during, and after pregnancy (postpartum), represents an early cardiovascular moment or window of opportunity when CVH should be measured, monitored, and modified (if needed). However, it remains unclear whether adverse pregnancy outcomes reflect latent risk for cardiovascular disease that is unmasked in pregnancy or if adverse pregnancy outcomes are themselves an independent and causal risk factor for future cardiovascular disease. Understanding the pathophysiologic mechanisms and pathways linking prepregnancy CVH, adverse pregnancy outcomes, and cardiovascular disease are necessary to develop strategies tailored for each stage in the peripartum period. Emerging evidence suggests the utility of subclinical cardiovascular disease screening with biomarkers (eg, natriuretic peptides) or imaging (eg, computed tomography for coronary artery calcium or echocardiography for adverse cardiac remodeling) to identify risk-enriched postpartum populations and target for more intensive strategies with health behavior interventions or pharmacological treatments. However, evidence-based guidelines focused on adults with a history of adverse pregnancy outcomes are needed to prioritize the prevention of cardiovascular disease during the reproductive years and beyond.
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Affiliation(s)
- Sadiya S. Khan
- Department of Medicine, Northwestern University Feinberg School of Medicine
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine
| | - Natalie A. Cameron
- Department of Medicine, Northwestern University Feinberg School of Medicine
| | - Kathryn J. Lindley
- Department of Medicine, Vanderbilt University Medical Center
- Department of Obstetrics and Gynecology, Vanderbilt University Medical Center
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Deveci AC, Keown-Stoneman CDG, Maguire JL, O'Connor DL, Anderson LN, Dennis CL, Birken CS. Maternal BMI in the preconception period, and association with child zBMI growth rates. Pediatr Obes 2023; 18:e12999. [PMID: 36573480 DOI: 10.1111/ijpo.12999] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Revised: 12/05/2022] [Accepted: 12/12/2022] [Indexed: 12/28/2022]
Abstract
BACKGROUND Elevated body mass index (BMI) and rapid growth in early childhood are important predictors of obesity risk. The association between maternal preconception BMI and child growth rates is unclear. OBJECTIVES To assess the association between measured maternal preconception BMI and child age- and sex- standardized WHO BMI z-score (zBMI) growth rates and mean zBMI, in children aged 0-10 years old. METHODS A longitudinal cohort study was conducted with children (n = 499) enrolled in The Applied Research Group for Kids (TARGet Kids!) primary care practice-based research cohort. Maternal BMI was measured during the preconception period, defined as the 2 years prior to pregnancy. Repeated measures of child weight and height were obtained between 0 and 10 years of age. Linear mixed models were used to evaluate the association between maternal BMI and child zBMI growth rates and mean zBMI. RESULTS Maternal preconception BMI was associated with child zBMI growth rate during some growth periods, with the strongest association from age 0 to 4 months; a 5 kg/m2 higher maternal BMI was associated with 0.031 zBMI SD unit/mo higher growth rate (p = 0.004), and 0.186 SD unit higher mean child zBMI (p = 0.0002). CONCLUSIONS Maternal preconception BMI was associated with growth rate and mean zBMI in early childhood. The preconception period may be an important target for health interventions to promote healthy child growth rate and weight outcomes.
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Affiliation(s)
- Arin C Deveci
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Canada.,Child Health Evaluative Sciences, The Hospital for Sick Children, Toronto, Canada
| | - Charles D G Keown-Stoneman
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Canada.,Dalla Lana School of Public Health, University of Toronto, Toronto, Canada
| | - Jonathon L Maguire
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Canada.,Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Canada.,Dalla Lana School of Public Health, University of Toronto, Toronto, Canada.,Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, Canada.,Department of Pediatrics, Temerty Faculty of Medicine, University of Toronto, Toronto, Canada.,Department of Pediatrics, St. Michael's Hospital, Toronto, Canada
| | - Deborah L O'Connor
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Canada.,Translational Medicine, SickKids Research Institute, Toronto, Canada.,Department of Paediatrics, Mount Sinai Health, Toronto, Canada
| | - Laura N Anderson
- Child Health Evaluative Sciences, The Hospital for Sick Children, Toronto, Canada.,Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Canada
| | - Cindy-Lee Dennis
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Canada.,Lawrence S. Bloomberg Faculty of Nursing, University of Toronto, Toronto, Canada.,Department of Psychiatry, University of Toronto, Toronto, Canada
| | - Catherine S Birken
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Canada.,Child Health Evaluative Sciences, The Hospital for Sick Children, Toronto, Canada.,Dalla Lana School of Public Health, University of Toronto, Toronto, Canada.,Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, Canada
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Abstract
Maternal mortality is unusually high in the United States compared to other wealthy nations and is characterized by major disparities in race/ethnicity, geography, and socioeconomic factors. Similar to other developed nations, the United States has seen a shift in the underlying causes of pregnancy-related death, with a relative increase in mortality resulting from diseases of the cardiovascular system and preexisting medical conditions. Improved continuity of care aimed at identifying reproductive-age women with preexisting conditions that may heighten the risk of maternal death, preconception management of risk factors for major adverse pregnancy outcomes, and primary care visits within the first year after delivery may offer opportunities to address gaps in medical care contributing to the unacceptable rates of maternal mortality in the United States.
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Affiliation(s)
- Siwen Wang
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, USA;
| | - Kathryn M Rexrode
- Division of Women's Health, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Andrea A Florio
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, USA;
| | - Janet W Rich-Edwards
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, USA.,Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Jorge E Chavarro
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, USA; .,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, USA.,Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
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8
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Armstrong A, Berger M, Al-Safi Z. Obesity and reproduction. Curr Opin Obstet Gynecol 2022; 34:184-189. [PMID: 35895959 DOI: 10.1097/gco.0000000000000794] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
PURPOSE OF REVIEW The objective of this review is to highlight the recent literature on how obesity affects reproductive capacity in men and women. RECENT FINDINGS The relationship between fertility and obesity is complex and involves the hypothalamic-pituitary-ovarian axis, neuroendocrine systems and adipose tissue. The exact pathophysiology of how obesity lowers fertility rates is unknown, but is likely multifactorial involving anovulation, insulin resistance and alterations in gonadotropins. In addition, there is controversy on whether oocyte quality or endometrial receptivity plays a larger role in obese infertile women. Data on effects of bariatric surgery and weight loss on obese infertile men and women are mixed. SUMMARY Obesity alters the hormonal profile, gonadotropin secretion, embryo development and in-vitro fertilization outcomes in both men and women.
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Affiliation(s)
- Abigail Armstrong
- Department of Obstetrics & Gynecology, University of California Los Angeles, Los Angeles, California, USA
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9
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LeBlanc ES, Hillier TA. The Impact of Gestational Weight Gain on Glucose and Insulin Physiology in Pregnancy-Does Timing Matter? J Clin Endocrinol Metab 2022; 107:e1303-e1304. [PMID: 34634099 PMCID: PMC8851914 DOI: 10.1210/clinem/dgab745] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Indexed: 11/19/2022]
Affiliation(s)
- Erin S LeBlanc
- Kaiser Permanente Center for Health Research, Portland, OR 97227, USA
- Correspondence: Erin Leblanc, M.D., Kaiser Center Health Research NW, 3800 N. Interstate, Portland, OR 97227, USA.
| | - Teresa A Hillier
- Kaiser Permanente Center for Health Research, Portland, OR 97227, USA
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10
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Ventura AK, Phelan S, Silva Garcia K. Maternal Diet During Pregnancy and Lactation and Child Food Preferences, Dietary Patterns, and Weight Outcomes: a Review of Recent Research. Curr Nutr Rep 2021; 10:413-426. [PMID: 34383279 DOI: 10.1007/s13668-021-00366-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/16/2021] [Indexed: 10/20/2022]
Abstract
PURPOSE OF REVIEW Efforts to promote children's preferences for healthy foods hold much potential for improving diet quality and preventing obesity. The purpose of this review was to summarize recent evidence for associations between maternal diet during pregnancy and lactation and child food preferences, dietary patterns, and weight outcomes. RECENT FINDINGS Recent research illustrates greater maternal vegetable intakes during pregnancy and lactation predict greater child preferences for and intakes of vegetables. Recent randomized clinical trials to improve maternal weight outcomes during the perinatal period via behavioral lifestyle interventions that included dietary components have yielded mixed findings for effects on child weight outcomes. There is strong evidence that maternal diet during pregnancy and lactation shapes flavor preferences during infancy; more research is needed to understand factors that facilitate versus hinder the translation of these preferences to later dietary patterns and weight outcomes.
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Affiliation(s)
- Alison K Ventura
- Department of Kinesiology and Public Health, Center for Health Research, California Polytechnic State University, One Grand Ave, San Luis Obispo, CA, 93407, USA.
| | - Suzanne Phelan
- Department of Kinesiology and Public Health, Center for Health Research, California Polytechnic State University, One Grand Ave, San Luis Obispo, CA, 93407, USA
| | - Karina Silva Garcia
- Department of Kinesiology and Public Health, Center for Health Research, California Polytechnic State University, One Grand Ave, San Luis Obispo, CA, 93407, USA
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