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Sun B, Gunderson EP, Bertolet M, Lopa SH, Bryan SG, Lewis CE, Catov JM. Inflammatory, Metabolic and Endothelial Biomarkers Before and After Pregnancy Complications. Am J Epidemiol 2024:kwae053. [PMID: 38634618 DOI: 10.1093/aje/kwae053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Revised: 04/12/2024] [Indexed: 04/19/2024] Open
Abstract
Women with gestational diabetes mellitus (GDM), hypertensive disorders of pregnancy (HDP), and preterm birth (PTB) have excess cardiovascular disease compared to those with uncomplicated births, perhaps related to pre-pregnancy inflammation, dysmetabolism or endothelial dysfunction. We included 1238 women in the Coronary Artery Risk Development in Young Adults Study (1985-2011) with 2215 births classified according to outcomes (term, uncomplicated births were the referent). Repeated measures ANOVA estimated pre-pregnancy, post-pregnancy and biomarker change according to pregnancy outcomes, adjusted for confounders. GDM and HDP groups had higher pre-pregnancy hsCRP (+0.37 [0.08, 0.65]; +0.29 [0.04, 0.55] log mg/L), leptin (+0.29 [0.09, 0.50]; +0.37 [0.17, 0.56] log ng/ml), and lower adiponectin (-0.25 [-0.36, -0.13); -0.11 [-0.22, -0.01] log ng/ml) than those with uncomplicated births and these profiles persisted in magnitude post-pregnancy. Controlling for BMI attenuated most profiles, except lower pre-pregnancy adiponectin remained associated with GDM. PTB without HDP or GDM was related to lower pre-pregnancy hsCRP and sICAM-1 (-0.31 [-0.56, -0.06] log mg/L; -0.05 [-0.09, - 0.01] log ng/ml) and a larger leptin increase from pre- to post-pregnancy, (+0.20 [0.02, 0.37] log ng/ml). Pre-pregnancy inflammation and metabolic dysfunction contributed to GDM and HDP, perhaps due to higher BMI. PTB may be related to adverse metabolic changes post-pregnancy, though the unexpected endothelial biomarker profile warrants further study.
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Lee C, Schwimmer JB, Gunderson EP, Goyal NP, Darbinian JA, Greenspan LC, Lo JC. Alanine aminotransferase elevation varies by ethnicity among Asian and Pacific Islander children with overweight or obesity. Pediatr Obes 2024:e13110. [PMID: 38444225 DOI: 10.1111/ijpo.13110] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Revised: 12/29/2023] [Accepted: 01/04/2024] [Indexed: 03/07/2024]
Abstract
BACKGROUND Limited research on alanine aminotransferase (ALT) screening for metabolic dysfunction-associated steatotic liver disease (MASLD) among US Asian/Pacific Islander (PI) children necessitates investigation in this heterogeneous population. OBJECTIVE Examine ALT elevation among Asian/PI children with overweight or obesity. METHODS Elevated ALT prevalence (clinical threshold) and association with body mass index ≥85th percentile were compared among 18 402 Asian/PI and 25 376 non-Hispanic White (NHW) children aged 9-17 years using logistic regression. RESULTS ALT elevation was more prevalent among Asian/PI (vs. NHW) males with overweight (4.0% vs. 2.7%), moderate (7.8% vs. 5.3%) and severe obesity (16.6% vs. 11.5%), and females with moderate (5.1% vs. 3.0%) and severe obesity (10.2% vs. 5.2%). Adjusted odds of elevated ALT were 1.6-fold and ~2-fold higher for Asian/PI (vs. NHW) males and females (with obesity), respectively. Filipino, Chinese and Southeast Asian males had 1.7-2.1-fold higher odds, but Native Hawaiian/PI (NHPI) and South Asian males did not significantly differ (vs. NHW). Filipina and Chinese females with obesity had >2-fold higher odds, Southeast and South Asian females did not differ and NHPI findings were mixed (vs. NHW). CONCLUSION High elevated ALT prevalence among Asian/PI children with overweight and obesity emphasizes the need for MASLD risk assessment and examination of ethnic subgroups.
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Affiliation(s)
- Catherine Lee
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA
- Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, California, USA
| | - Jeffrey B Schwimmer
- Department of Pediatrics, Division of Gastroenterology, Hepatology, and Nutrition, University of California San Diego School of Medicine, San Diego, California, USA
- Department of Gastroenterology, Rady Children's Hospital, San Diego, California, USA
| | - Erica P Gunderson
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA
- Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, California, USA
| | - Nidhi P Goyal
- Department of Pediatrics, Division of Gastroenterology, Hepatology, and Nutrition, University of California San Diego School of Medicine, San Diego, California, USA
- Department of Gastroenterology, Rady Children's Hospital, San Diego, California, USA
| | - Jeanne A Darbinian
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA
| | - Louise C Greenspan
- The Permanente Medical Group, Oakland, California, USA
- Department of Pediatrics, Division of Pediatric Endocrinology, Kaiser Permanente San Francisco Medical Center, San Francisco, California, USA
| | - Joan C Lo
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA
- Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, California, USA
- The Permanente Medical Group, Oakland, California, USA
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Stanhope KK, Gunderson EP, Suglia SF, Boulet SL, Jamieson DJ, Kiefe CI, Kershaw KN. Childhood maltreatment and trajectories of cardiometabolic health across the reproductive life span among individuals with a first birth during the Coronary Artery Risk Development in Young Adults Study. Prev Med 2024; 180:107894. [PMID: 38346564 PMCID: PMC10896584 DOI: 10.1016/j.ypmed.2024.107894] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Revised: 02/08/2024] [Accepted: 02/09/2024] [Indexed: 02/17/2024]
Abstract
OBJECTIVE Childhood adversity is associated with poor cardiometabolic health in adulthood; little is known about how this relationship evolves through childbearing years for parous individuals. The goal was to estimate differences in cardiometabolic health indicators before, during and after childbearing years by report of childhood maltreatment in the Coronary Artery Risk Development in Young Adults (CARDIA) cohort study. METHODS Including 743 individuals nulliparous at baseline (1985-1986) with one or more pregnancies >20 weeks during follow-up (1986-2022), we fit segmented linear regression models to estimate mean differences between individuals reporting or not reporting childhood maltreatment (physical or emotional) in waist circumference, triglycerides, high-density lipoprotein cholesterol, systolic and diastolic blood pressure, fasting glucose, and body mass index (BMI) prior to, during, and following childbearing years using generalized estimating equations, allowing for interaction between maltreatment and time within each segment, and adjusting for total parity, parental education, and race (Black or white, self-reported). RESULTS Individuals reporting maltreatment (19%; 141) had a greater waist circumference (post-childbearing: +2.9 cm, 95% CI (0.7, 5.0), higher triglycerides [post-childbearing: +8.1 mg/dL, 95% CI (0.7, 15.6)], and lower HDL cholesterol [post-childbearing: -2.1 mg/dL, 95% CI (-4.7, 0.5)] during all stages compared to those not reporting maltreatment. There were not meaningful differences in blood pressure, fasting glucose, or BMI. Individuals who reported maltreatment did not report faster changes over time. CONCLUSION Differences in some aspects of cardiometabolic health between individuals reporting versus not reporting childhood maltreatment were sustained across reproductive life stages, suggesting potentially persistent impacts of childhood adversity.
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Affiliation(s)
- Kaitlyn K Stanhope
- Department of Gynecology and Obstetrics, Emory University School of Medicine, 201 Dowman Dr, Atlanta, GA 30307, United States; Department of Epidemiology, Emory Rollins School of Public Health, 1518 Clifton Rd, Atlanta, GA 30322, United States of America.
| | - Erica P Gunderson
- Division of Research, Kaiser Permanente Northern California, and Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, 98 S. Los Robles Ave., Pasadena, CA 91101, United States
| | - Shakira F Suglia
- Department of Epidemiology, Emory Rollins School of Public Health, 1518 Clifton Rd, Atlanta, GA 30322, United States of America
| | - Sheree L Boulet
- Department of Gynecology and Obstetrics, Emory University School of Medicine, 201 Dowman Dr, Atlanta, GA 30307, United States
| | - Denise J Jamieson
- Department of Gynecology and Obstetrics, Emory University School of Medicine, 201 Dowman Dr, Atlanta, GA 30307, United States
| | - Catarina I Kiefe
- Population and Quantitative Health Sciences, UMass Chan Medical School, 55 Lake Avenue North, The Albert Sherman Center, Worcester, MA 01655, United States
| | - Kiarri N Kershaw
- Preventive Medicine, Northwestern Feinberg School of Medicine, Suite 1400, 680 N. Lake Shore Drive, Chicago, IL 60611, United States
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Stanhope KK, Gunderson EP, Suglia SF, Boulet SL, Jamieson DJ, Kiefe CI, Kershaw KN. Understanding the role of childhood nurture, abuse, and stability on gestational diabetes in the Coronary Artery Risk Development in Young Adults study (CARDIA). Ann Epidemiol 2024; 91:30-36. [PMID: 38266664 PMCID: PMC10922764 DOI: 10.1016/j.annepidem.2024.01.007] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Revised: 01/17/2024] [Accepted: 01/19/2024] [Indexed: 01/26/2024]
Abstract
BACKGROUND To estimate associations between facets of the maternal childhood family environment with gestational diabetes (GDM) and to test mediation by pre-pregnancy waist circumference. METHODS We used data from CARDIA, a cohort of individuals aged 18-30 years at baseline (1985-86), followed over 30 years (2016). We included participants with one or more pregnancies ≥ 20 weeks after baseline, without pre-pregnancy diabetes. The primary exposure was the Childhood Family Environment Scale (assessed year 15), including the total score and abuse, nurture, and stability subscales as continuous, separate exposures. The outcome was GDM (self-reported at each visit for each pregnancy). We fit log binomial models with generalized estimating equations to calculate risk ratios (RR) and 95% confidence intervals (CI), adjusting for age at delivery, parity, race (Black or White), and parental education. We used regression models with bootstrapped CIs to test mediation and effect modification by excess abdominal adiposity at the last preconception CARDIA visit (waist circumference ≥ 88 cm). RESULTS We included 1033 individuals (46% Black) with 1836 pregnancies. 130 pregnancies (7.1%) were complicated by GDM. For each 1 point increase on the abuse subscale (e.g., from "rarely or never" to "some or little of the time") there was a 30% increased risk of GDM (RR: 1.3, 95% CI: 1.0, 1.7). There was evidence of effect modification but not mediation by preconception abdominal adiposity. CONCLUSIONS A more adverse childhood family environment was associated with increased risk of GDM, with a stronger association among individuals with preconception waist circumference ≥ 88 cm.
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Affiliation(s)
- Kaitlyn K Stanhope
- Department of Gynecology and Obstetrics, Emory University School of Medicine, USA.
| | - Erica P Gunderson
- Division of Research, Kaiser Permanente Northern California, USA; Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, USA
| | - Shakira F Suglia
- Department of Epidemiology, Emory Rolling School of Public Health, USA
| | - Sheree L Boulet
- Department of Gynecology and Obstetrics, Emory University School of Medicine, USA
| | - Denise J Jamieson
- Department of Gynecology and Obstetrics, Emory University School of Medicine, USA
| | - Catarina I Kiefe
- Population and Quantitative Health Sciences, UMass Chan Medical School, USA
| | - Kiarri N Kershaw
- Preventive Medicine, Northwestern Feinberg School of Medicine, USA
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Croen LA, Ames JL, Qian Y, Alexeeff S, Ashwood P, Gunderson EP, Wu YW, Boghossian AS, Yolken R, Van de Water J, Weiss LA. Inflammatory Conditions During Pregnancy and Risk of Autism and Other Neurodevelopmental Disorders. Biol Psychiatry Glob Open Sci 2024; 4:39-50. [PMID: 38045769 PMCID: PMC10689278 DOI: 10.1016/j.bpsgos.2023.09.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Revised: 09/20/2023] [Accepted: 09/25/2023] [Indexed: 12/05/2023] Open
Abstract
Background Maternal inflammation can result from immune dysregulation and metabolic perturbations during pregnancy. Whether conditions associated with inflammation during pregnancy increase the likelihood of autism spectrum disorder (ASD) or other neurodevelopmental disorders (DDs) is not well understood. Methods We conducted a case-control study among children born in California from 2011 to 2016 to investigate maternal immune-mediated and cardiometabolic conditions during pregnancy and risk of ASD (n = 311) and DDs (n = 1291) compared with children from the general population (n = 967). Data on maternal conditions and covariates were retrieved from electronic health records. Maternal genetic data were used to assess a causal relationship. Results Using multivariable logistic regression, we found that mothers with asthma were more likely to deliver infants later diagnosed with ASD (odds ratio [OR] = 1.62, 95% CI: 1.15-2.29) or DDs (OR = 1.30, 95% CI: 1.02-1.64). Maternal obesity was also associated with child ASD (OR = 1.51, 95% CI: 1.07-2.13). Mothers with both asthma and extreme obesity had the greatest odds of delivering an infant later diagnosed with ASD (OR = 16.9, 95% CI: 5.13-55.71). These increased ASD odds were observed among female children only. Polygenic risk scores for obesity, asthma, and their combination showed no association with ASD risk. Mendelian randomization did not support a causal relationship between maternal conditions and ASD. Conclusions Inflammatory conditions during pregnancy are associated with risk for neurodevelopmental disorders in children. These risks do not seem to be due to shared genetic risk; rather, inflammatory conditions may share nongenetic risk factors with neurodevelopmental disorders. Children whose mothers have both asthma and obesity during pregnancy may benefit from earlier screening and intervention.
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Affiliation(s)
- Lisa A. Croen
- Division of Research, Kaiser Permanente Northern California, Oakland, California
- Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, California
| | - Jennifer L. Ames
- Division of Research, Kaiser Permanente Northern California, Oakland, California
| | - Yinge Qian
- Division of Research, Kaiser Permanente Northern California, Oakland, California
| | - Stacey Alexeeff
- Division of Research, Kaiser Permanente Northern California, Oakland, California
| | - Paul Ashwood
- Department of Medical Microbiology and Immunology and the MIND Institute, University of California, Davis, Davis, California
| | - Erica P. Gunderson
- Division of Research, Kaiser Permanente Northern California, Oakland, California
- Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, California
| | - Yvonne W. Wu
- Departments of Neurology and Pediatrics, University of California San Francisco, San Francisco, California
| | - Andrew S. Boghossian
- Institute for Human Genetics, Department of Psychiatry and Behavioral Sciences, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, California
| | - Robert Yolken
- Department of Medicine, Johns Hopkins University, Baltimore, Maryland
| | - Judy Van de Water
- Division of Rheumatology/Allergy/Clinical Immunology, Department of Internal Medicine, University of California at Davis, Davis, California
| | - Lauren A. Weiss
- Institute for Human Genetics, Department of Psychiatry and Behavioral Sciences, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, California
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Van JAD, Luo Y, Danska JS, Dai F, Alexeeff SE, Gunderson EP, Rost H, Wheeler MB. Postpartum defects in inflammatory response after gestational diabetes precede progression to type 2 diabetes: a nested case-control study within the SWIFT study. Metabolism 2023; 149:155695. [PMID: 37802200 DOI: 10.1016/j.metabol.2023.155695] [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] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Revised: 09/27/2023] [Accepted: 09/30/2023] [Indexed: 10/08/2023]
Abstract
BACKGROUND Gestational diabetes (GDM) is a distinctive form of diabetes that first presents in pregnancy. While most women return to normoglycemia after delivery, they are nearly ten times more likely to develop type 2 diabetes than women with uncomplicated pregnancies. Current prevention strategies remain limited due to our incomplete understanding of the early underpinnings of progression. AIM To comprehensively characterize the postpartum profiles of women shortly after a GDM pregnancy and identify key mechanisms responsible for the progression to overt type 2 diabetes using multi-dimensional approaches. METHODS We conducted a nested case-control study of 200 women from the Study of Women, Infant Feeding and Type 2 Diabetes After GDM Pregnancy (SWIFT) to examine biochemical, proteomic, metabolomic, and lipidomic profiles at 6-9 weeks postpartum (baseline) after a GDM pregnancy. At baseline and annually up to two years, SWIFT administered research 2-hour 75-gram oral glucose tolerance tests. Women who developed incident type 2 diabetes within four years of delivery (incident case group, n = 100) were pair-matched by age, race, and pre-pregnancy body mass index to those who remained free of diabetes for at least 8 years (control group, n = 100). Correlation analyses were used to assess and integrate relationships across profiling platforms. RESULTS At baseline, all 200 women were free of diabetes. The case group was more likely to present with dysglycemia (e.g., impaired fasting glucose levels, glucose tolerance, or both). We also detected differences between groups across all omic platforms. Notably, protein profiles revealed an underlying inflammatory response with perturbations in protease inhibitors, coagulation components, extracellular matrix components, and lipoproteins, whereas metabolite and lipid profiles implicated disturbances in amino acids and triglycerides at individual and class levels with future progression. We identified significant correlations between profile features and fasting plasma insulin levels, but not with fasting glucose levels. Additionally, specific cross-omic relationships, particularly among proteins and lipids, were accentuated or activated in the case group but not the control group. CONCLUSIONS Overall, we applied orthogonal, complementary profiling techniques to uncover an inflammatory response linked to elevated triglyceride levels shortly after a GDM pregnancy, which is more pronounced in women who progress to overt diabetes.
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Affiliation(s)
- Julie A D Van
- Department of Physiology, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; Metabolism Research Group, Division of Advanced Diagnostics, Toronto General Research Institute, Toronto, Ontario, Canada.
| | - Yihan Luo
- Department of Physiology, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; Metabolism Research Group, Division of Advanced Diagnostics, Toronto General Research Institute, Toronto, Ontario, Canada
| | - Jayne S Danska
- Program in Genetics and Genome Biology, Hospital for Sick Children Research Institute, Toronto, Ontario, Canada; Departments of Immunology and Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
| | - Feihan Dai
- Department of Physiology, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Stacey E Alexeeff
- Division of Research, Kaiser Permanente Northern California, Oakland, California, United States of America
| | - Erica P Gunderson
- Division of Research, Kaiser Permanente Northern California, Oakland, California, United States of America; Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, California, United States of America
| | - Hannes Rost
- Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada; Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, Ontario, Canada
| | - Michael B Wheeler
- Department of Physiology, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; Metabolism Research Group, Division of Advanced Diagnostics, Toronto General Research Institute, Toronto, Ontario, Canada.
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Pan K, Bazzano LA, Betha K, Charlton BM, Chavarro JE, Cordero C, Gunderson EP, Haggerty CL, Hart JE, Jukic AM, Ley SH, Mishra GD, Mumford SL, Schisterman EF, Schliep K, Shaffer JG, Sotres-Alvarez D, Stanford JB, Wilcox AJ, Wise LA, Yeung E, Harville EW. Large-Scale Data Harmonization Across Prospective Studies. Am J Epidemiol 2023; 192:2033-2049. [PMID: 37403415 PMCID: PMC10988223 DOI: 10.1093/aje/kwad153] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [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: 09/18/2022] [Revised: 04/11/2023] [Accepted: 06/29/2023] [Indexed: 07/06/2023] Open
Abstract
The Preconception Period Analysis of Risks and Exposures Influencing Health and Development (PrePARED) Consortium creates a novel resource for addressing preconception health by merging data from numerous cohort studies. In this paper, we describe our data harmonization methods and results. Individual-level data from 12 prospective studies were pooled. The crosswalk-cataloging-harmonization procedure was used. The index pregnancy was defined as the first postbaseline pregnancy lasting more than 20 weeks. We assessed heterogeneity across studies by comparing preconception characteristics in different types of studies. The pooled data set included 114,762 women, and 25,531 (22%) reported at least 1 pregnancy of more than 20 weeks' gestation during the study period. Babies from the index pregnancies were delivered between 1976 and 2021 (median, 2008), at a mean maternal age of 29.7 (standard deviation, 4.6) years. Before the index pregnancy, 60% of women were nulligravid, 58% had a college degree or more, and 37% were overweight or obese. Other harmonized variables included race/ethnicity, household income, substance use, chronic conditions, and perinatal outcomes. Participants from pregnancy-planning studies had more education and were healthier. The prevalence of preexisting medical conditions did not vary substantially based on whether studies relied on self-reported data. Use of harmonized data presents opportunities to study uncommon preconception risk factors and pregnancy-related events. This harmonization effort laid the groundwork for future analyses and additional data harmonization.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Emily W Harville
- Correspondence to Dr. Emily W. Harville, Department of Epidemiology, Tulane School of Public Health and Tropical Medicine, Tulane University, 1440 Canal Street, New Orleans, LA 70112 (e-mail: )
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Wilkins EG, Sun B, Thomas AS, Alabaster A, Greenberg M, Sperling JD, Walton DL, Alves J, Gunderson EP. Erratum to 'Low gestational weight gain (+2.0 to 4.9 kg) for singleton-term gestations associated with favorable perinatal outcomes for all prepregnancy obesity classes' [AJOG Global Reports 3 (2023) 100246]. AJOG Glob Rep 2023; 3:100282. [PMID: 38034025 PMCID: PMC10682174 DOI: 10.1016/j.xagr.2023.100282] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2023] Open
Abstract
[This corrects the article DOI: 10.1016/j.xagr.2023.100246.].
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Affiliation(s)
- Emilia G. Wilkins
- Department of Obstetrics and Gynecology, Kaiser Permanente, Richmond Medical Center, CA
| | - Baiyang Sun
- Division of Research, Kaiser Permanente Northern California, Oakland, CA
| | - Alexis S. Thomas
- Division of Research, Kaiser Permanente Northern California, Oakland, CA
| | - Amy Alabaster
- Division of Research, Kaiser Permanente Northern California, Oakland, CA
| | - Mara Greenberg
- Department of Obstetrics and Gynecology, Kaiser Permanente, Oakland Medical Center, CA
| | - Jeffrey D. Sperling
- Department of Obstetrics and Gynecology, Kaiser Permanente, Modesto Medical Center, CA
| | | | - Jasmin Alves
- Division of Research, Kaiser Permanente Northern California, Oakland, CA
| | - Erica P. Gunderson
- Division of Research, Kaiser Permanente Northern California, Oakland, CA
- Department of Health System Sciences, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, CA
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Khan SR, Obersterescu A, Gunderson EP, Razani B, Wheeler MB, Cox BJ. metGWAS 1.0: an R workflow for network-driven over-representation analysis between independent metabolomic and meta-genome-wide association studies. Bioinformatics 2023; 39:btad523. [PMID: 37610350 PMCID: PMC10491949 DOI: 10.1093/bioinformatics/btad523] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Revised: 07/15/2023] [Accepted: 08/22/2023] [Indexed: 08/24/2023] Open
Abstract
MOTIVATION The method of genome-wide association studies (GWAS) and metabolomics combined provide an quantitative approach to pinpoint metabolic pathways and genes linked to specific diseases; however, such analyses require both genomics and metabolomics datasets from the same individuals/samples. In most cases, this approach is not feasible due to high costs, lack of technical infrastructure, unavailability of samples, and other factors. Therefore, an unmet need exists for a bioinformatics tool that can identify gene loci-associated polymorphic variants for metabolite alterations seen in disease states using standalone metabolomics. RESULTS Here, we developed a bioinformatics tool, metGWAS 1.0, that integrates independent GWAS data from the GWAS database and standalone metabolomics data using a network-based systems biology approach to identify novel disease/trait-specific metabolite-gene associations. The tool was evaluated using standalone metabolomics datasets extracted from two metabolomics-GWAS case studies. It discovered both the observed and novel gene loci with known single nucleotide polymorphisms when compared to the original studies. AVAILABILITY AND IMPLEMENTATION The developed metGWAS 1.0 framework is implemented in an R pipeline and available at: https://github.com/saifurbd28/metGWAS-1.0.
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Affiliation(s)
- Saifur R Khan
- Department of Medicine (Cardiology), University of Pittsburgh, Pittsburgh, PA 15261, United States
- University of Pittsburgh Medical Center, Pittsburgh, PA 15213, United States
- Pittsburgh VA Medical Center, Pittsburgh, PA 15240, United States
- Department of Physiology, University of Toronto, Toronto, ON M5S 1A8, Canada
- Toronto General Research Institute (Advanced Diagnostics), Toronto, ON M5G 2C4, Canada
| | | | - Erica P Gunderson
- Division of Research, Kaiser Permanente Northern California, Oakland, CA 94612, United States
- Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, CA 91101, United States
| | - Babak Razani
- Department of Medicine (Cardiology), University of Pittsburgh, Pittsburgh, PA 15261, United States
- University of Pittsburgh Medical Center, Pittsburgh, PA 15213, United States
- Pittsburgh VA Medical Center, Pittsburgh, PA 15240, United States
| | - Michael B Wheeler
- Department of Physiology, University of Toronto, Toronto, ON M5S 1A8, Canada
- Toronto General Research Institute (Advanced Diagnostics), Toronto, ON M5G 2C4, Canada
| | - Brian J Cox
- Department of Physiology, University of Toronto, Toronto, ON M5S 1A8, Canada
- Department of Obstetrics and Gynaecology, University of Toronto, ON M5G 1E2, Canada
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10
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Wilkins EG, Sun B, Thomas AS, Alabaster A, Greenberg M, Sperling JD, Walton DL, Alves J, Gunderson EP. Low gestational weight gain (+2.0 to 4.9 kg) for singleton-term gestations associated with favorable perinatal outcomes for all prepregnancy obesity classes. AJOG Glob Rep 2023; 3:100246. [PMID: 37645655 PMCID: PMC10461248 DOI: 10.1016/j.xagr.2023.100246] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/31/2023] Open
Abstract
BACKGROUND Previous studies that evaluated low gestational weight gain or weight loss among prepregnancy obesity classes have not determined the amount of gestational weight gain associated with the lowest risk of adverse perinatal outcomes and neonatal morbidity among singleton term births. OBJECTIVE This study aimed to evaluate the relationship of specific gestational weight gain categories of weight loss, stable weight, and low gain considered below the 2009 Institute of Medicine guidelines to perinatal outcomes and neonatal morbidity for singleton, term live births among prepregnancy obesity classes. STUDY DESIGN This was a retrospective cohort study of 18,476 women among 3 classes of prepregnancy obesity, based on measured prepregnancy weight, and delivering a live singleton pregnancy at ≥37 weeks of gestation at a Kaiser Permanente Northern California hospital (2009-2012). Variables from electronic medical records included perinatal outcomes, sociodemographics, and measured prepregnancy and delivery weights to calculate total gestational weight gain, used to define 5 gestational weight gain categories: weight loss (<-2.0 kg), stable weight (-2.0 to +1.9 kg), low gain (+2.0 to 4.9 kg), gain within guidelines (+5.0 to 9.1 kg; referent), and gain above guidelines (>9.1 kg). Logistic regression models estimated adjusted odds ratios and 95% confidence intervals of maternal and newborn perinatal outcomes (hypertensive disorders, cesarean delivery, size for gestational age, length of stay, neonatal intensive care unit admission) associated with gestational weight gain categories stratified by prepregnancy obesity classes 1, 2, and 3. RESULTS Low gain occurred in 8%, 12%, and 13% of women in obesity class 1 (body mass index, 30.0-34.9), class 2 (body mass index, 35.0-39.9), and class 3 (body mass index, ≥40), respectively. Compared with gestational weight gain within Institute of Medicine guidelines, low gain was associated with similar or improved maternal and newborn perinatal outcomes for all obesity classes without increased odds of neonatal intensive care unit admission, neonatal length of stay ≥3 days, or small for gestational age. The percentages of small for gestational age for the low gain category were 4.4%, 3.0%, and 4.3% among prepregnancy obesity classes 1, 2, and 3, respectively, and comparable with the gestational weight gain within the guideline category (P>.05). The adjusted odds ratios of small-for-gestational age were not statistically significant for all obesity classes; class 1 (1.16; 95% confidence interval, 0.79-1.71) , class 2 (1.05; 95% confidence interval 0.58-1.93), and class 3 (2.03; 95% confidence interval 0.97-4.27). CONCLUSION Lower gestational weight gain of +2.0 to 4.9 kg showed the most favorable perinatal outcomes, without higher small for gestational age or neonatal morbidity for all obesity classes.
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Affiliation(s)
- Emilia G. Wilkins
- Department of Obstetrics and Gynecology, Kaiser Permanente, Richmond Medical Center, CA (Dr Wilkins)
| | - Baiyang Sun
- Division of Research, Kaiser Permanente Northern California, Oakland, CA (Mses Sun, Thomas, and Alabaster and Drs Alves and Gunderson)
| | - Alexis S. Thomas
- Division of Research, Kaiser Permanente Northern California, Oakland, CA (Mses Sun, Thomas, and Alabaster and Drs Alves and Gunderson)
| | - Amy Alabaster
- Division of Research, Kaiser Permanente Northern California, Oakland, CA (Mses Sun, Thomas, and Alabaster and Drs Alves and Gunderson)
| | - Mara Greenberg
- Department of Obstetrics and Gynecology, Kaiser Permanente, Oakland Medical Center, Oakland, CA (Dr Greenberg)
| | - Jeffrey D. Sperling
- Department of Obstetrics and Gynecology, Kaiser Permanente, Modesto Medical Center, Modesto, CA (Dr Sperling)
| | | | - Jasmin Alves
- Division of Research, Kaiser Permanente Northern California, Oakland, CA (Mses Sun, Thomas, and Alabaster and Drs Alves and Gunderson)
| | - Erica P. Gunderson
- Division of Research, Kaiser Permanente Northern California, Oakland, CA (Mses Sun, Thomas, and Alabaster and Drs Alves and Gunderson)
- Department of Health System Sciences, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, CA (Dr Gunderson)
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11
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Gunderson EP, Greenberg M, Sun B, Goler N, Go AS, Roberts JM, Nguyen‐Huynh MN, Tao W, Alexeeff SE. Early Pregnancy Systolic Blood Pressure Patterns Predict Early- and Later-Onset Preeclampsia and Gestational Hypertension Among Ostensibly Low-to-Moderate Risk Groups. J Am Heart Assoc 2023; 12:e029617. [PMID: 37435795 PMCID: PMC10492985 DOI: 10.1161/jaha.123.029617] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Accepted: 05/17/2023] [Indexed: 07/13/2023]
Abstract
Background Clinical risk factors, a single blood pressure (BP) measurement, current biomarkers, and biophysical parameters can effectively identify risk of early-onset preeclampsia but have limited ability to predict later-onset preeclampsia and gestational hypertension. Clinical BP patterns hold promise to improve early risk stratification for hypertensive disorders of pregnancy. Methods and Results After excluding preexisting hypertension, heart, kidney, or liver disease, or prior preeclampsia, the retrospective cohort (n=249 892) all had systolic BP <140 mm Hg and diastolic BP <90 mm Hg or a single BP elevation ≤20 weeks' gestation, prenatal care at <14 weeks' gestation, and a still or live birth delivery at Kaiser Permanente Northern California hospitals (2009-2019). The sample was randomly split into development (N=174 925; 70%) and validation (n=74 967; 30%) data sets. Predictive performance of multinomial logistic regression models for early-onset (<34 weeks) preeclampsia, later-onset (≥34 weeks) preeclampsia, and gestational hypertension was evaluated in the validation data set. There were 1008 (0.4%), 10 766 (4.3%), and 11 514 (4.6%) patients with early-onset preeclampsia, later-onset preeclampsia, and gestation hypertension, respectively. Models with 6 systolic BP trajectory groups (0-20 weeks' gestation) plus standard clinical risk factors performed substantially better than risk factors alone to predict early- and later-onset preeclampsia and gestational hypertension, with C-statistics (95% CIs) of 0.747 (0.720-0.775), 0.730 (0.722-0.739), and 0.768 (0.761-0.776) versus 0.688 (0.659-0.717), 0.695 (0.686-0.704) and 0.692 (0.683-0.701), respectively, with excellent calibration (Hosmer-Lemeshow P=0.99, 0.99, and 0.74, respectively). Conclusions Early pregnancy BP patterns up to 20 weeks' gestation plus clinical, social, and behavioral factors more accurately discriminate hypertensive disorders of pregnancy risk among low-to-moderate risk pregnancies. Early pregnancy BP trajectories improve risk stratification to reveal higher-risk individuals hidden within ostensibly low-to-moderate risk groups and lower-risk individuals considered at higher risk by US Preventive Services Task Force criteria.
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Affiliation(s)
- Erica P. Gunderson
- Division of Research, Kaiser Permanente Northern CaliforniaOaklandCAUSA
- Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of MedicinePasadenaCAUSA
| | - Mara Greenberg
- Department of Obstetrics and GynecologyKaiser Permanente, Oakland Medical CenterOaklandCAUSA
| | - Baiyang Sun
- Division of Research, Kaiser Permanente Northern CaliforniaOaklandCAUSA
| | - Nancy Goler
- The Permanente Medical GroupKaiser Permanente Northern CaliforniaOaklandCAUSA
| | - Alan S. Go
- Division of Research, Kaiser Permanente Northern CaliforniaOaklandCAUSA
- Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of MedicinePasadenaCAUSA
- Departments of Epidemiology, Biostatistics and MedicineUniversity of California, San FranciscoSan FranciscoCAUSA
- Department of MedicineStanford UniversityPalo AltoCAUSA
| | - James M. Roberts
- Magee‐Womens Research Institute, Department of Obstetrics, Gynecology and Reproductive Sciences, Epidemiology and Clinical and Translational ResearchUniversity of PittsburghPittsburgh, PAUSA
| | - Mai N. Nguyen‐Huynh
- Division of Research, Kaiser Permanente Northern CaliforniaOaklandCAUSA
- Department of Neurology, Kaiser Permanente, Walnut Creek Medical CenterWalnut CreekCAUSA
| | - Wei Tao
- Division of Research, Kaiser Permanente Northern CaliforniaOaklandCAUSA
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12
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Khan SR, Rost H, Cox B, Razani B, Alexeeff S, Wheeler MB, Gunderson EP. Heterogeneity in Early Postpartum Metabolic Profiles Among Women with GDM Who Progressed to Type 2 Diabetes During 10-Year Follow-Up: The SWIFT Study. medRxiv 2023:2023.06.13.23291346. [PMID: 37398098 PMCID: PMC10312884 DOI: 10.1101/2023.06.13.23291346] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/04/2023]
Abstract
GDM is a strong risk factor for progression to T2D after pregnancy. Although both GDM and T2D exhibit heterogeneity, the link between the distinct heterogeneity of GDM and incident T2D has not been established. Herein, we evaluate early postpartum profiles of women with recent GDM who later developed incident T2D using a soft clustering method, followed by the integration of both clinical phenotypic variables and metabolomics to characterize these heterogeneous clusters/groups clinically and their molecular mechanisms. We identified three clusters based on two indices of glucose homeostasis at 6-9 weeks postpartum - HOMA-IR and HOMA-B among women who developed incident T2D during the 12-year follow-up. The clusters were classified as follows: pancreatic beta-cell dysfunction group (cluster-1), insulin resistant group (cluster-3), and a combination of both phenomena (cluster-2) comprising the majority of T2D. We also identified postnatal blood test parameters to distinguish the three clusters for clinical testing. Moreover, we compared these three clusters in their metabolomics profiles at the early stage of the disease to identify the mechanistic insights. A significantly higher concentration of a metabolite at the early stage of a T2D cluster than other clusters indicates its essentiality for the particular disease character. As such, the early-stage characters of T2D cluster-1 pathology include a higher concentration of sphingolipids, acyl-alkyl phosphatidylcholines, lysophosphatidylcholines, and glycine, indicating their essentiality for pancreatic beta-cell function. In contrast, the early-stage characteristics of T2D cluster-3 pathology include a higher concentration of diacyl phosphatidylcholines, acyl-carnitines, isoleucine, and glutamate, indicating their essentiality for insulin actions. Notably, all these biomolecules are found in the T2D cluster-2 with mediocre concentrations, indicating a true nature of a mixed group. In conclusion, we have deconstructed incident T2D heterogeneity and identified three clusters with their clinical testing procedures and molecular mechanisms. This information will aid in adopting proper interventions using a precision medicine approach.
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Affiliation(s)
- Saifur R Khan
- Department of Cardiology, University of Pittsburgh, PA, USA
- Vascular Medicine Institute, University of Pittsburgh, PA, USA
- Departments of Physiology and Medicine, University of Toronto, Ontario, Canada
| | - Hannes Rost
- Donnelly Centre, University of Toronto, Ontario, Canada
| | - Brian Cox
- Department of Obstetrics and Gynaecology, University of Toronto, Ontario, Canada
| | - Babak Razani
- Department of Cardiology, University of Pittsburgh, PA, USA
- Vascular Medicine Institute, University of Pittsburgh, PA, USA
| | - Stacey Alexeeff
- Kaiser Permanente Northern California, Division of Research, Oakland, CA
| | - Michael B Wheeler
- Departments of Physiology and Medicine, University of Toronto, Ontario, Canada
| | - Erica P Gunderson
- Kaiser Permanente Northern California, Division of Research, Oakland, CA
- Kaiser Permanente Bernard J. Tyson School of Medicine, Department of Health Systems Science, Pasadena, CA
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13
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Lane A, Whitaker KM, Tahir M, Barone Gibbs B, Catov J, Carnethon M, Gunderson EP. Associations of Physical Activity and Lactation Duration With Cardiometabolic Risk Factors: The CARDIA Study. JACC Adv 2023; 2:100378. [PMID: 37584014 PMCID: PMC10426753 DOI: 10.1016/j.jacadv.2023.100378] [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] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 08/17/2023]
Abstract
BACKGROUND Physical activity (PA) and lactation benefit cardiometabolic health. OBJECTIVES The purpose of this study was to describe the joint associations of PA and lactation with cardiometabolic risk. METHODS We averaged PA across exams and summed lifetime lactation in Black and White parous women in the Coronary Artery Risk Development in Young Adults Study. Categories were created for PA (-PA: RESULTS The median PA was 256 exercise units and 54% reported lactation duration of ≥3 months. Of 1,068 participants, 303 were in the -PA/-L category, 231 in -PA/+L, 184 in +PA/-L, and 350 in +PA/+L. +PA/+L participants were older, had more years of education, lower body mass index, gained less weight, and less likely to be Black vs -PA/-L participants. Risk scores differed between categories except -PA/+L and +PA/-L (P = 0.08): -PA/-L: 0.23+/-0.04, -PA/+L: 0.08+/-0.04, +PA/-L: -0.02+/-0.05, and +PA/+L: -0.23+/-0.03. After adjustment, +PA/+L was associated with a lower/better risk score (β = -0.15, 95% CI: -0.25 to -0.04). CONCLUSIONS Above average PA throughout adulthood combined with ≥3 months of lactation was associated with lower risk scores. Participants with either behavior had lower risk vs those with neither behavior. Attaining these levels of behaviors may reduce cardiometabolic risk in parous women.
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Affiliation(s)
- Abbi Lane
- Department of Exercise Science, Arnold School of Public
Health, University of South Carolina, Columbia, South Carolina, USA
| | - Kara M. Whitaker
- Department of Health and Human Physiology, Department of
Epidemiology, University of Iowa, Iowa City, Iowa, USA
| | - Muna Tahir
- ICON plc, San Francisco, California, USA
| | - Bethany Barone Gibbs
- Department of Epidemiology and Biostatistics, School of
Public Health, University of West Virginia, Morgantown, West Virginia, USA
| | - Janet Catov
- Department of Epidemiology, University of Pittsburgh,
Pittsburgh, Pennsylvania, USA
- Department of Obstetrics and Gynecology,
Magee-Women’s Research Center, Pittsburgh, Pennsylvania, USA
| | - Mercedes Carnethon
- Department of Preventive Medicine, Feinberg School of
Medicine, Chicago, Illinois, USA
| | - Erica P. Gunderson
- Division of Research, Kaiser Permanente of Northern
California, Oakland, California, USA
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14
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Mathieson I, Day FR, Barban N, Tropf FC, Brazel DM, Vaez A, van Zuydam N, Bitarello BD, Gardner EJ, Akimova ET, Azad A, Bergmann S, Bielak LF, Boomsma DI, Bosak K, Brumat M, Buring JE, Cesarini D, Chasman DI, Chavarro JE, Cocca M, Concas MP, Davey Smith G, Davies G, Deary IJ, Esko T, Faul JD, Franco O, Ganna A, Gaskins AJ, Gelemanovic A, de Geus EJC, Gieger C, Girotto G, Gopinath B, Grabe HJ, Gunderson EP, Hayward C, He C, van Heemst D, Hill WD, Hoffmann ER, Homuth G, Hottenga JJ, Huang H, Hyppӧnen E, Ikram MA, Jansen R, Johannesson M, Kamali Z, Kardia SLR, Kavousi M, Kifley A, Kiiskinen T, Kraft P, Kühnel B, Langenberg C, Liew G, Lind PA, Luan J, Mägi R, Magnusson PKE, Mahajan A, Martin NG, Mbarek H, McCarthy MI, McMahon G, Medland SE, Meitinger T, Metspalu A, Mihailov E, Milani L, Missmer SA, Mitchell P, Møllegaard S, Mook-Kanamori DO, Morgan A, van der Most PJ, de Mutsert R, Nauck M, Nolte IM, Noordam R, Penninx BWJH, Peters A, Peyser PA, Polašek O, Power C, Pribisalic A, Redmond P, Rich-Edwards JW, Ridker PM, Rietveld CA, Ring SM, Rose LM, Rueedi R, Shukla V, Smith JA, Stankovic S, Stefánsson K, Stöckl D, Strauch K, Swertz MA, Teumer A, Thorleifsson G, Thorsteinsdottir U, Thurik AR, Timpson NJ, Turman C, Uitterlinden AG, Waldenberger M, Wareham NJ, Weir DR, Willemsen G, Zhao JH, Zhao W, Zhao Y, Snieder H, den Hoed M, Ong KK, Mills MC, Perry JRB. Genome-wide analysis identifies genetic effects on reproductive success and ongoing natural selection at the FADS locus. Nat Hum Behav 2023; 7:790-801. [PMID: 36864135 DOI: 10.1038/s41562-023-01528-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Accepted: 01/12/2023] [Indexed: 03/04/2023]
Abstract
Identifying genetic determinants of reproductive success may highlight mechanisms underlying fertility and identify alleles under present-day selection. Using data in 785,604 individuals of European ancestry, we identified 43 genomic loci associated with either number of children ever born (NEB) or childlessness. These loci span diverse aspects of reproductive biology, including puberty timing, age at first birth, sex hormone regulation, endometriosis and age at menopause. Missense variants in ARHGAP27 were associated with higher NEB but shorter reproductive lifespan, suggesting a trade-off at this locus between reproductive ageing and intensity. Other genes implicated by coding variants include PIK3IP1, ZFP82 and LRP4, and our results suggest a new role for the melanocortin 1 receptor (MC1R) in reproductive biology. As NEB is one component of evolutionary fitness, our identified associations indicate loci under present-day natural selection. Integration with data from historical selection scans highlighted an allele in the FADS1/2 gene locus that has been under selection for thousands of years and remains so today. Collectively, our findings demonstrate that a broad range of biological mechanisms contribute to reproductive success.
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Affiliation(s)
- Iain Mathieson
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
| | - Felix R Day
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Nicola Barban
- Alma Mater Studiorum University of Bologna, Bologna, Italy
| | - Felix C Tropf
- Nuffield College, University of Oxford, Oxford, UK
- École Nationale de la Statistique et de L'administration Économique (ENSAE), Paris, France
- Center for Research in Economics and Statistics (CREST), Paris, France
| | - David M Brazel
- Nuffield College, University of Oxford, Oxford, UK
- Leverhulme Centre for Demographic Science, University of Oxford, Oxford, UK
| | - Ahmad Vaez
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
- Department of Bioinformatics, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Natalie van Zuydam
- Beijer Laboratory and Department of Immunology, Genetics and Pathology, Uppsala University and SciLifeLab, Uppsala, Sweden
| | - Bárbara D Bitarello
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Eugene J Gardner
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Evelina T Akimova
- Nuffield College, University of Oxford, Oxford, UK
- Leverhulme Centre for Demographic Science, University of Oxford, Oxford, UK
| | - Ajuna Azad
- DNRF Center for Chromosome Stability, Department of Cellular and Molecular Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Sven Bergmann
- Department of Computational Biology, University of Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
- Department of Integrative Biomedical Sciences, University of Cape Town, Cape Town, South Africa
| | - Lawrence F Bielak
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
| | - Dorret I Boomsma
- Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Amsterdam Reproduction and Development (AR&D) Research Institute, Amsterdam, the Netherlands
| | | | - Marco Brumat
- Department of Medical, Surgical and Health Sciences, University of Trieste, Trieste, Italy
| | - Julie E Buring
- Brigham and Women's Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - David Cesarini
- Department of Economics, New York University, New York, NY, USA
- Research Institute for Industrial Economics, Stockholm, Sweden
- National Bureau of Economic Research, Cambridge, MA, USA
| | - Daniel I Chasman
- Brigham and Women's Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Jorge E Chavarro
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Massimiliano Cocca
- Institute for Maternal and Child Health, IRCCS 'Burlo Garofolo', Trieste, Italy
| | - Maria Pina Concas
- Institute for Maternal and Child Health, IRCCS 'Burlo Garofolo', Trieste, Italy
| | | | - Gail Davies
- Lothian Birth Cohorts, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Ian J Deary
- Lothian Birth Cohorts, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Tõnu Esko
- Estonian Genome Center, University of Tartu, Tartu, Estonia
- Broad Institute of the Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
| | - Jessica D Faul
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Oscar Franco
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Andrea Ganna
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
- Analytic and Translational Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Audrey J Gaskins
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | | | - Eco J C de Geus
- Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Christian Gieger
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Giorgia Girotto
- Department of Medical, Surgical and Health Sciences, University of Trieste, Trieste, Italy
- Institute for Maternal and Child Health, IRCCS 'Burlo Garofolo', Trieste, Italy
| | - Bamini Gopinath
- Centre for Vision Research, Westmead Institute for Medical Research and Department of Ophthalmology, University of Sydney, Sydney, New South Wales, Australia
| | - Hans Jörgen Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - Erica P Gunderson
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Caroline Hayward
- Medical Research Council Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Chunyan He
- Markey Cancer Center, University of Kentucky, Lexington, KY, USA
- Department of Internal Medicine, Division of Medical Oncology, University of Kentucky College of Medicine, Lexington, KY, USA
| | - Diana van Heemst
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, the Netherlands
| | - W David Hill
- Lothian Birth Cohorts, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Eva R Hoffmann
- DNRF Center for Chromosome Stability, Department of Cellular and Molecular Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Georg Homuth
- Interfaculty Institute for Genetics and Functional Genomics, University of Greifswald, Greifswald, Germany
| | - Jouke Jan Hottenga
- Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Hongyang Huang
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Elina Hyppӧnen
- Australian Centre for Precision Health, University of South Australia Cancer Research Institute, Adelaide, South Australia, Australia
- South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Rick Jansen
- Department of Psychiatry, Amsterdam Public Health and Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit, Amsterdam, the Netherlands
| | - Magnus Johannesson
- Department of Economics, Stockholm School of Economics, Stockholm, Sweden
| | - Zoha Kamali
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
- Department of Bioinformatics, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Sharon L R Kardia
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
| | - Maryam Kavousi
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Annette Kifley
- Centre for Vision Research, Westmead Institute for Medical Research and Department of Ophthalmology, University of Sydney, Sydney, New South Wales, Australia
| | - Tuomo Kiiskinen
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
- National Institute for Health and Welfare, Helsinki, Finland
| | - Peter Kraft
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Brigitte Kühnel
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Claudia Langenberg
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Gerald Liew
- Centre for Vision Research, Westmead Institute for Medical Research and Department of Ophthalmology, University of Sydney, Sydney, New South Wales, Australia
| | - Penelope A Lind
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Jian'an Luan
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Reedik Mägi
- Estonian Genome Center, University of Tartu, Tartu, Estonia
| | - Patrik K E Magnusson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Anubha Mahajan
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Nicholas G Martin
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Hamdi Mbarek
- Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Qatar Genome Programme, Qatar Foundation Research, Development and Innovation, Qatar Foundation, Doha, Qatar
| | - Mark I McCarthy
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - George McMahon
- School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Sarah E Medland
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Thomas Meitinger
- Institute of Human Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Andres Metspalu
- Estonian Genome Center, University of Tartu, Tartu, Estonia
- Institute of Molecular and Cell Biology, University of Tartu, Tartu, Estonia
| | | | - Lili Milani
- Estonian Genome Center, University of Tartu, Tartu, Estonia
| | - Stacey A Missmer
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Division of Adolescent and Young Adult Medicine, Department of Medicine, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Obstetrics, Gynecology, and Reproductive Biology, College of Human Medicine, Michigan State University, Grand Rapids, MI, USA
| | - Paul Mitchell
- Centre for Vision Research, Westmead Institute for Medical Research and Department of Ophthalmology, University of Sydney, Sydney, New South Wales, Australia
| | - Stine Møllegaard
- Department of Sociology, University of Copenhagen, Copenhagen, Denmark
| | - Dennis O Mook-Kanamori
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands
- Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, the Netherlands
| | - Anna Morgan
- Institute for Maternal and Child Health, IRCCS 'Burlo Garofolo', Trieste, Italy
| | - Peter J van der Most
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Renée de Mutsert
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Matthias Nauck
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Ilja M Nolte
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Raymond Noordam
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, the Netherlands
| | - Brenda W J H Penninx
- Department of Psychiatry, EMGO Institute for Health and Care Research and Neuroscience Campus Amsterdam, VU University Medical Center/GGZ inGeest, Amsterdam, the Netherlands
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Patricia A Peyser
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
| | - Ozren Polašek
- University of Split School of Medicine, Split, Croatia
- Algebra University College, Zagreb, Croatia
| | - Chris Power
- Population, Policy and Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health, London, UK
| | | | - Paul Redmond
- Lothian Birth Cohorts, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Janet W Rich-Edwards
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Division of Women's Health, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Paul M Ridker
- Brigham and Women's Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Cornelius A Rietveld
- Erasmus University Rotterdam Institute for Behavior and Biology, Rotterdam, the Netherlands
- Department of Applied Economics, Erasmus School of Economics, Rotterdam, the Netherlands
| | - Susan M Ring
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | | | - Rico Rueedi
- Department of Computational Biology, University of Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Vallari Shukla
- DNRF Center for Chromosome Stability, Department of Cellular and Molecular Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jennifer A Smith
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Stasa Stankovic
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | | | - Doris Stöckl
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Konstantin Strauch
- Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), University Medical Center, Johannes Gutenberg University, Mainz, Germany
- Institute of Genetic Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Chair of Genetic Epidemiology, IBE, Faculty of Medicine, LMU, Munich, Germany
| | - Morris A Swertz
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Alexander Teumer
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | | | | | - A Roy Thurik
- Erasmus University Rotterdam Institute for Behavior and Biology, Rotterdam, the Netherlands
- Department of Applied Economics, Erasmus School of Economics, Rotterdam, the Netherlands
- Montpellier Business School, Montpellier, France
| | | | - Constance Turman
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - André G Uitterlinden
- Erasmus University Rotterdam Institute for Behavior and Biology, Rotterdam, the Netherlands
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Melanie Waldenberger
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Nicholas J Wareham
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - David R Weir
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Gonneke Willemsen
- Department of Biological Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Jing Hau Zhao
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Wei Zhao
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
| | - Yajie Zhao
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Harold Snieder
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Marcel den Hoed
- Beijer Laboratory and Department of Immunology, Genetics and Pathology, Uppsala University and SciLifeLab, Uppsala, Sweden
| | - Ken K Ong
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Melinda C Mills
- Nuffield College, University of Oxford, Oxford, UK.
- Leverhulme Centre for Demographic Science, University of Oxford, Oxford, UK.
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.
- Department of Economics, Econometrics and Finance, University of Groningen, Groningen, the Netherlands.
| | - John R B Perry
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK.
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Song C, Bancks MP, Whitaker KM, Wong M, Carson AP, Dutton GR, Goff DC, Gordon-Larsen P, Gunderson EP, Jacobs DR, Kiefe CI, Lewis CE, Lloyd-Jones DM, Shikany JM, Kershaw KN. Contribution of social, behavioral, and contextual exposures to Black-White disparities in incident obesity: The CARDIA study. Obesity (Silver Spring) 2023; 31:1402-1414. [PMID: 37041722 PMCID: PMC10191978 DOI: 10.1002/oby.23698] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Revised: 11/29/2022] [Accepted: 12/13/2022] [Indexed: 04/13/2023]
Abstract
OBJECTIVE The aim of this study was to quantify the contributions of socioeconomic, psychosocial, behavioral, reproductive, and neighborhood exposures in young adulthood to Black-White differences in incident obesity. METHODS In the Coronary Artery Risk Development in Young Adults (CARDIA) study, 4488 Black or White adults aged 18 to 30 years without obesity at baseline (1985-1986) were followed over 30 years. Sex-specific Cox proportional hazard models were used to estimate Black-White differences in incident obesity. Models were adjusted for baseline and time-updated indicators. RESULTS During follow-up, 1777 participants developed obesity. Black women were 1.87 (95% CI: 1.63-2.13) times more likely and Black men were 1.53 (95% CI: 1.32-1.77) times more likely to develop obesity than their White counterparts after adjusting for age, field center, and baseline BMI. Baseline exposures explained 43% of this difference in women and 52% in men. Time-updated exposures explained more of the racial difference in women but less for men, compared with baseline exposures. CONCLUSIONS Adjusting for these exposures accounted for a substantial but incomplete proportion of racial disparities in incident obesity. Remaining differences may be explained by incomplete capture of the most salient aspects of these exposures or potential variation in the impact of these exposures on obesity by race.
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Affiliation(s)
- Christopher Song
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
- Keck Medicine Family Residency Program, Los Angeles, California, USA
| | - Michael P. Bancks
- Department of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Kara M. Whitaker
- Department of Health and Human Physiology, College of Liberal Arts & Sciences, University of Iowa, Iowa City, Iowa, USA
| | - Mandy Wong
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - April P. Carson
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - Gareth R. Dutton
- Department of Medicine, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - David C. Goff
- Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, Bethesda, Maryland, USA
| | - Penny Gordon-Larsen
- Depatrment of Nutrition, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Erica P. Gunderson
- Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, CA, USA
| | - David R. Jacobs
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA
| | - Catarina I. Kiefe
- Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, Massachusetts, USA
| | - Cora E. Lewis
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Donald M. Lloyd-Jones
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - James M. Shikany
- Department of Medicine, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Kiarri N. Kershaw
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
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16
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Appiah D, Hedderson MM, Kim C, Sidney S, Sternfeld B, Quesenberry CP, Wellons MF, Gunderson EP. The prospective association of hyperandrogenism, oligomenorrhea and polycystic ovary syndrome with incident gestational diabetes: The coronary artery risk development in young adults women's study. Diabetes Res Clin Pract 2023; 198:110593. [PMID: 36868515 DOI: 10.1016/j.diabres.2023.110593] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/17/2022] [Revised: 02/15/2023] [Accepted: 02/21/2023] [Indexed: 03/05/2023]
Abstract
In this 28-year prospective study of 455 women (mean age: 26 years), polycystic ovary syndrome (PCOS) was associated with a 2.6-fold elevated risk of gestational diabetes (GDM). However, hyperandrogenism or oligomenorrhea in the absence of PCOS was not associated with GDM.
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Affiliation(s)
- Duke Appiah
- Department of Public Health. Texas Tech University Health Sciences Center, Lubbock, TX, United States.
| | - Monique M Hedderson
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, United States; Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, CA, United States
| | - Catherine Kim
- Departments of Medicine and Obstetrics and Gynecology, University of Michigan, Ann Arbor, MI, United States
| | - Stephen Sidney
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, United States
| | - Barbara Sternfeld
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, United States
| | - Charles P Quesenberry
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, United States
| | - Melissa F Wellons
- Departments of Medicine and Obstetrics and Gynecology, University of Michigan, Ann Arbor, MI, United States; Division of Diabetes, Endocrinology, & Metabolism, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Erica P Gunderson
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, United States; Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, CA, United States
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17
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Gadgil MD, Ingram KH, Appiah D, Rudd J, Whitaker KM, Bennett WL, Shikany JM, Jacobs DR, Lewis CE, Gunderson EP. Prepregnancy Protein Source and BCAA Intake Are Associated with Gestational Diabetes Mellitus in the CARDIA Study. Int J Environ Res Public Health 2022; 19:ijerph192114142. [PMID: 36361016 PMCID: PMC9658365 DOI: 10.3390/ijerph192114142] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/24/2022] [Revised: 10/22/2022] [Accepted: 10/26/2022] [Indexed: 06/03/2023]
Abstract
Diet quality and protein source are associated with type 2 diabetes, however relationships with GDM are less clear. This study aimed to determine whether prepregnancy diet quality and protein source are associated with gestational diabetes mellitus (GDM). Participants were 1314 Black and White women without diabetes, who had at least one birth during 25 years of follow-up in the Coronary Artery Risk Development in Young Adults (CARDIA) cohort study. The CARDIA A Priori Diet Quality Score (APDQS) was assessed in the overall cohort at enrollment and again at Year 7. Protein source and branched-chain amino acid (BCAA) intake were assessed only at the Year 7 exam (n = 565). Logistic regression analysis was used to determine associations between prepregnancy dietary factors and GDM. Women who developed GDM (n = 161) were more likely to have prepregnancy obesity and a family history of diabetes (p < 0.05). GDM was not associated with prepregnancy diet quality at enrollment (Year 0) (odds ratio [OR]: 1.01; 95% confidence interval [CI] 0.99, 1.02) or Year 7 (odds ratio [OR]: 0.97; 95% confidence interval [CI] 0.94, 1.00) in an adjusted model. Conversely, BCAA intake (OR:1.59, 95% CI 1.03, 2.43) and animal protein intake (OR: 1.06, 95% CI 1.02, 1.10) as a proportion of total protein intake, were associated with increased odds of GDM, while proportion of plant protein was associated with decreased odds of GDM (OR: 0.95, 95% CI 0.91, 0.99). In conclusion, GDM is strongly associated with source of prepregnancy dietary protein intake but not APDQS in the CARDIA study.
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Affiliation(s)
- Meghana D. Gadgil
- Division of General Internal Medicine, Department of Medicine, University of California, San Francisco, CA 94143, USA
| | - Katherine H. Ingram
- Department of Exercise Science and Sport Management, Kennesaw State University, Kennesaw, GA 30144, USA
| | - Duke Appiah
- Department of Public Health, Texas Tech University Health Sciences Center of Statistics and Analytical Sciences, Lubbock, TX 79409, USA
| | - Jessica Rudd
- Department of Statistics and Analytical Sciences, Kennesaw State University, Kennesaw, GA 30144, USA
| | - Kara M. Whitaker
- Department of Health and Human Physiology, Department of Epidemiology, University of Iowa, Iowa City, IA 52242, USA
| | - Wendy L. Bennett
- Division of General Internal Medicine, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA
| | - James M. Shikany
- Division of Preventive Medicine, School of Medicine, University of Alabama at Birmingham, Birmingham, AL 35294, USA
| | - David R. Jacobs
- Division of Epidemiology & Community Health, School of Public Health, University of Minnesota, Minneapolis, MN 55455, USA
| | - Cora E. Lewis
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL 35294, USA
| | - Erica P. Gunderson
- Division of Research, Kaiser Permanente Northern California, Oakland, CA 94612, USA
- Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, CA 91101, USA
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18
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Lane A, Lewis CE, Gunderson EP. Adverse Pregnancy Outcomes: The Missing Link in Discovering the Role of Lactation in Cardiovascular Disease Prevention. J Am Heart Assoc 2022; 11:e027707. [PMID: 36250661 DOI: 10.1161/jaha.122.027707] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Abbi Lane
- Department of Exercise Science, Arnold School of Public Health University of South Carolina Columbia SC
| | - Cora E Lewis
- Department of Epidemiology, School of Public Health University of Alabama at Birmingham Birmingham AL
| | - Erica P Gunderson
- Division of Research Kaiser Permanente Northern California Oakland CA.,Department of Health Systems Science Kaiser Permanente Bernard J. Tyson School of Medicine Pasadena CA
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19
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Zhang Z, Piro AL, Allalou A, Alexeeff SE, Dai FF, Gunderson EP, Wheeler MB. Prolactin and Maternal Metabolism in Women With a Recent GDM Pregnancy and Links to Future T2D: The SWIFT Study. J Clin Endocrinol Metab 2022; 107:2652-2665. [PMID: 35666146 PMCID: PMC9387721 DOI: 10.1210/clinem/dgac346] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Indexed: 11/19/2022]
Abstract
CONTEXT Prolactin is a multifaceted hormone known to regulate lactation. In women with gestational diabetes mellitus (GDM) history, intensive lactation has been associated with lower relative risk of future type 2 diabetes (T2D). However, the role of prolactin in T2D development and maternal metabolism in women with a recent GDM pregnancy has not been ascertained. OBJECTIVE We examined the relationships among prolactin, future T2D risk, and key clinical and metabolic parameters. METHODS We utilized a prospective GDM research cohort (the SWIFT study) and followed T2D onset by performing 2-hour 75-g research oral glucose tolerance test (OGTT) at study baseline (6-9 weeks postpartum) and again annually for 2 years, and also by retrieving clinical diagnoses of T2D from 2 years through 10 years of follow up from electronic medical records. Targeted metabolomics and lipidomics were applied on fasting plasma samples collected at study baseline from 2-hour 75-g research OGTTs in a nested case-control study (100 future incident T2D cases vs 100 no T2D controls). RESULTS Decreasing prolactin quartiles were associated with increased future T2D risk (adjusted odds ratio 2.48; 95% CI, 0.81-7.58; P = 0.05). In women who maintained normoglycemia during the 10-year follow-up period, higher prolactin at baseline was associated with higher insulin sensitivity (P = 0.038) and HDL-cholesterol (P = 0.01), but lower BMI (P = 0.001) and leptin (P = 0.002). Remarkably, among women who developed future T2D, prolactin was not correlated with a favorable metabolic status (all P > 0.05). Metabolomics and lipidomics showed that lower circulating prolactin strongly correlated with a T2D-high risk lipid profile, with elevated circulating neutral lipids and lower concentrations of specific phospholipids/sphingolipids. CONCLUSION In women with recent GDM pregnancy, low circulating prolactin is associated with specific clinical and metabolic parameters and lipid metabolites linked to a high risk of developing T2D.
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Affiliation(s)
- Ziyi Zhang
- Department of Physiology, Faculty of Medicine, University of Toronto, Ontario M5S 1A8, Canada
- Department of Endocrinology, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, Zhejiang 310016, China
| | - Anthony L Piro
- Department of Physiology, Faculty of Medicine, University of Toronto, Ontario M5S 1A8, Canada
| | - Amina Allalou
- Department of Physiology, Faculty of Medicine, University of Toronto, Ontario M5S 1A8, Canada
| | - Stacey E Alexeeff
- Division of Research, Kaiser Permanente Northern California, Oakland, CA 94612, USA
| | - Feihan F Dai
- Correspondence: Feihan F. Dai, PhD, Department of Physiology, Faculty of Medicine, University of Toronto, 1 King’s College Circle, M5S 1A8 Ontario, Canada.
| | - Erica P Gunderson
- Correspondence: Erica P. Gunderson, PhD, MS, MPH, Division of Research, Kaiser Permanente Northern California, 1 King’s College Circle, M5S 1A8 Oakland, CA, USA.
| | - Michael B Wheeler
- Correspondence: Michael B. Wheeler, PhD, Department of Physiology, Faculty of Medicine, University of Toronto, 1 King’s College Circle, M5S 1A8 Ontario, Canada.
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20
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Powell MJ, Fuller S, Gunderson EP, Benz CC. Reduced cardiovascular risks in women with endometriosis or polycystic ovary syndrome carrying a common functional IGF1R variant. Hum Reprod 2022; 37:1083-1094. [PMID: 35362533 PMCID: PMC9071223 DOI: 10.1093/humrep/deac059] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Revised: 03/03/2022] [Indexed: 11/28/2022] Open
Abstract
STUDY QUESTION Is the increased future cardiovascular risk seen in women with endometriosis or polycystic ovary syndrome (PCOS) mitigated by functional insulin-like growth factor-1 receptor (IGF1R) single-nucleotide polymorphism (SNP) rs2016347 as previously shown in women with hypertensive disorders of pregnancy? SUMMARY ANSWER This cohort study found that women with endometriosis or PCOS who carry a T allele of IGF1R SNP rs2016347 had a reduced future risk of developing cardiovascular disease (CVD) and associated risk factors, with risk reduction dependent on cohort era. WHAT IS KNOWN ALREADY Women with endometriosis or PCOS have been shown to have an increased future risk of CVD and associated risk factors with limited predictive ability. STUDY DESIGN, SIZE, DURATION This retrospective cohort study took place in the Nurses' Health Study 2 (NHS2), which enrolled 116 430 participants in 1989 who were followed through 2015. The study population was analyzed in its entirety, and subdivided into entry (pre-1989) and after entry (post-1989) exposure cohorts. All NHS2 participants were eligible for inclusion in the study, 9599 (8.2%) were excluded for missing covariates. PARTICIPANTS/MATERIALS, SETTING, METHODS The NHS2 enrolled female registered nurses from 14 different states who ranged in age from 25 to 42 years at study entry. Data were collected from entry and biennial questionnaires, and analysis conducted from November 2020 to June 2021. Cox proportional hazard models were used to assess risk of CVD, hypertension (HTN), hypercholesterolemia (HC) and type 2 diabetes, both with and without genotyping for rs2016347. MAIN RESULTS AND THE ROLE OF CHANCE While women without endometriosis or PCOS, as a whole, demonstrated no impact of genotype on risk in either cohort, women with endometriosis carrying a T allele had a lower risk of CVD (hazard ratio (HR), 0.48; 95% CI, 0.27-0.86, P = 0.02) and HTN (HR, 0.80; 95% CI, 0.66-0.97, P = 0.03) in the pre-1989 cohort, while those in the post-1989 cohort had a decrease in risk for HC (HR, 0.76; 95% CI, 0.62-0.94, P = 0.01). Women with PCOS in the post-1989 cohort showed a significant protective impact of the T allele on HTN (HR, 0.44; 95% CI, 0.27-0.73, P = 0.002) and HC (HR, 0.62; 95% CI, 0.40-0.95, P = 0.03). LIMITATIONS, REASONS FOR CAUTION Data on specific endometriosis lesion locations or disease stage, as well as on PCOS phenotypes were lacking. In addition, data on systemic medical treatments beyond the use of oral contraceptives were missing, and these treatments may have confounded the results. WIDER IMPLICATIONS OF THE FINDINGS These findings implicate systemic dysregulation of the insulin-like growth factor-1 axis in the development of HTN, HC and clinical CVD in endometriosis and PCOS, suggesting a common underlying pathogenetic mechanism. STUDY FUNDING/COMPETING INTEREST(S) The NHS2 infrastructure for questionnaire data collection was supported by National Institute of Health (NIH) grant U01CA176726. This work was also supported in part by NIH and National Cancer Institute grant U24CA210990; as well, research effort and publication costs were supported by the Elizabeth MA Stevens donor funds provided to the Buck Institute for Research on Aging. The authors declare they have no conflicts of interest. TRIAL REGISTRATION NUMBER N/A.
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Affiliation(s)
- Mark J Powell
- Buck Institute for Research on Aging, Novato, CA, USA
| | - Sophia Fuller
- Graduate Group in Biostatistics, University of California, Berkeley, School of Public Health, Berkeley, CA, USA
| | - Erica P Gunderson
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
- Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, CA, USA
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21
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Ferrara A, Hedderson MM, Zhu Y, Avalos LA, Kuzniewicz MW, Myers LC, Ngo AL, Gunderson EP, Ritchie JL, Quesenberry CP, Greenberg M. Perinatal Complications in Individuals in California With or Without SARS-CoV-2 Infection During Pregnancy. JAMA Intern Med 2022; 182:503-512. [PMID: 35311909 PMCID: PMC8938896 DOI: 10.1001/jamainternmed.2022.0330] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
Importance Additional research from population-based studies is needed to inform the treatment of SARS-CoV-2 infection during pregnancy and to provide health risk information to pregnant individuals. Objective To assess the risk of perinatal complications associated with SARS-CoV-2 infection and to describe factors associated with hospitalizations. Design, Setting, and Participants This population-based cohort study included 43 886 pregnant individuals with longitudinal electronic health record data from preconception to delivery who delivered at Kaiser Permanente Northern California between March 1, 2020, and March 16, 2021. Individuals with diagnostic codes for COVID-19 that did not have a confirmatory polymerase chain reaction test for SARS-CoV-2 were excluded. Exposures SARS-CoV-2 infection detected by polymerase chain reaction test (from 30 days before conception to 7 days after delivery) as a time varying exposure. Main Outcomes and Measures Severe maternal morbidity including 21 conditions (eg, acute myocardial infarction, acute renal failure, acute respiratory distress syndrome, and sepsis) that occurred at any time during pregnancy or delivery; preterm birth; pregnancy hypertensive disorders; gestational diabetes; venous thromboembolism (VTE); stillbirth; cesarean delivery; and newborn birth weight and respiratory conditions. Standardized mean differences between individuals with and without SARS-CoV-2 were calculated. Cox proportional hazards regression was used to estimate the hazard ratios (HRs) and 95% CIs for the association between SARS-CoV-2 infection and perinatal complications and hospitalization and to consider the timing of SARS-CoV-2 infection relative to outcomes. Results In this study of 43 886 pregnant individuals (mean [SD] age, 30.7 [5.2] years), individuals with a SARS-CoV-2 infection (1332 [3.0%]) were more likely to be younger, Hispanic, multiparous individuals with a higher neighborhood deprivation index and obesity or chronic hypertension. After adjusting for demographic characteristics, comorbidities, and smoking status, individuals with SARS-CoV-2 infection had higher risk for severe maternal morbidity (HR, 2.45; 95% CI, 1.91-3.13), preterm birth (<37 weeks; HR, 2.08; 95% CI, 1.75-2.47), and VTE (HR, 3.08; 95% CI, 1.09-8.74) than individuals without SARS-CoV-2. SARS-CoV-2 infection was also associated with increased risk of medically indicated preterm birth (HR, 2.56; 95% CI, 2.06-3.19); spontaneous preterm birth (HR, 1.61; 95% CI, 1.22-2.13); and early (HR, 2.52; 95% CI, 1.49-4.24), moderate (HR, 2.18; 95% CI, 1.25-3.80), and late (HR, 1.95; 95% CI, 1.61-2.37) preterm birth. Among individuals with SARS-CoV-2 infection, 76 (5.7%) had a hospitalization; pregestational diabetes (HR, 7.03; 95% CI, 2.22-22.2) and Asian or Pacific Islander (HR, 2.33; 95% CI, 1.06-5.11) and Black (HR, 3.14; 95% CI, 1.24-7.93) race and ethnicity were associated with an increased risk of hospitalization. Conclusions and Relevance In this cohort study, SARS-CoV-2 infection was associated with increased risk of severe maternal morbidity, preterm birth, and VTE. The study findings inform clinicians and patients about the risk of perinatal complications associated with SARS-CoV-2 infection in pregnancy and support vaccination of pregnant individuals and those planning conception.
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Affiliation(s)
- Assiamira Ferrara
- Division of Research, Kaiser Permanente Northern California, Oakland
| | - Monique M. Hedderson
- Division of Research, Kaiser Permanente Northern California, Oakland
- Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, California
| | - Yeyi Zhu
- Division of Research, Kaiser Permanente Northern California, Oakland
| | - Lyndsay A. Avalos
- Division of Research, Kaiser Permanente Northern California, Oakland
- Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, California
| | | | - Laura C. Myers
- Division of Research, Kaiser Permanente Northern California, Oakland
| | - Amanda L. Ngo
- Division of Research, Kaiser Permanente Northern California, Oakland
| | - Erica P. Gunderson
- Division of Research, Kaiser Permanente Northern California, Oakland
- Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, California
| | - Jenna L. Ritchie
- Division of Research, Kaiser Permanente Northern California, Oakland
| | | | - Mara Greenberg
- Obstetrics and Gynecology, Kaiser Permanente Northern California, Oakland
- Regional Perinatal Service Center, Kaiser Permanente Northern California, Santa Clara
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22
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Shah NS, Wang MC, Kandula NR, Carnethon MR, Gunderson EP, Grobman WA, Khan SS. Gestational Diabetes and Hypertensive Disorders of Pregnancy by Maternal Birthplace. Am J Prev Med 2022; 62:e223-e231. [PMID: 34893385 PMCID: PMC8940631 DOI: 10.1016/j.amepre.2021.10.007] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Revised: 10/02/2021] [Accepted: 10/05/2021] [Indexed: 11/18/2022]
Abstract
INTRODUCTION Gestational diabetes mellitus and hypertensive disorders of pregnancy increase the risk for future adverse health outcomes in the pregnant woman and baby, and disparities exist in the rates of gestational diabetes mellitus and hypertensive disorders of pregnancy by race/ethnicity. The objective of this study is to identify the differences in gestational diabetes mellitus and hypertensive disorders of pregnancy rates by maternal place of birth within race/ethnicity groups. METHODS In women aged 15-44 years at first live singleton birth in U.S. surveillance data between 2014 and 2019, age-standardized rates of gestational diabetes mellitus and hypertensive disorders of pregnancy and the rate ratios of gestational diabetes mellitus and hypertensive disorders of pregnancy in women born outside versus those born in the U.S. were evaluated, stratified by race/ethnicity. Analyses were conducted in 2021. RESULTS Of 8,574,264 included women, 6,827,198 were born in the U.S. (mean age=26.2 [SD 5.7] years), and 1,747,066 were born outside the U.S. (mean age=28.2 [SD=5.8] years). Overall, the gestational diabetes mellitus rate was higher in women born outside than in those born in the U.S. (70.3, 95% CI=69.9, 70.7 vs 53.2, 95% CI=53.0, 53.4 per 1,000 live births; rate ratio=1.32, 95% CI=1.31, 1.33), a pattern observed in most race/ethnic groups. By contrast, the overall hypertensive disorders of pregnancy rate was lower in those born outside than in those born in the U.S. (52.5, 95% CI=52.2, 52.9 vs 90.1, 95% CI=89.9, 90.3 per 1,000 live births; rate ratio=0.58, 95% CI=0.58, 0.59), a pattern observed in most race/ethnic groups. CONCLUSIONS In the U.S., gestational diabetes mellitus rates were higher and hypertensive disorders of pregnancy rates were lower in women born outside the U.S. than in those born in the U.S. in most race/ethnicity groups.
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Affiliation(s)
- Nilay S Shah
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois;; Division of Cardiology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
| | - Michael C Wang
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Namratha R Kandula
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois;; Division of General Internal Medicine and Geriatrics, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Mercedes R Carnethon
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Erica P Gunderson
- Division of Research, Kaiser Permanente Northern California, Oakland, California
| | - William A Grobman
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois;; Department of Obstetrics & Gynecology, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Sadiya S Khan
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois;; Division of Cardiology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
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23
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Gunderson EP, Greenberg M, Nguyen-Huynh MN, Tierney C, Roberts JM, Go AS, Tao W, Alexeeff SE. Early Pregnancy Blood Pressure Patterns Identify Risk of Hypertensive Disorders of Pregnancy Among Racial and Ethnic Groups. Hypertension 2022; 79:599-613. [PMID: 34963295 PMCID: PMC9004135 DOI: 10.1161/hypertensionaha.121.18568] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Hypertensive disorders of pregnancy are a leading cause of severe maternal morbidity and mortality and confer 4-fold higher perinatal mortality in Black women. Early pregnancy blood pressure patterns may differentiate risk of hypertensive disorders of pregnancy. METHODS This study identified distinct blood pressure trajectories from 0 to 20 weeks' gestation to evaluate subsequent pregnancy-related hypertension in a retrospective cohort of 174 925 women with no prior hypertension or history of preeclampsia, prenatal care entry ≤14 weeks, and a stillborn or live singleton birth delivered at Kaiser Permanente Northern California hospitals in 2009 to 2019. We used electronic health records to obtain clinical outcomes, covariables, and longitudinal outpatient blood pressure measurements ≤20 weeks' gestation (mean 4.1 measurements). Latent class trajectory modeling identified 6 blood pressure groups: ultra-low-declining(referent), low-declining, moderate-fast-decline, low-increasing, moderate-stable, and elevated-stable. Multivariable logistic regression evaluated trajectory group-associations with the odds of preeclampsia/eclampsia and gestational hypertension' and effect modification by race-ethnicity and prepregnancy body size. RESULTS Compared with ultra-low-declining, adjusted odds ratios (95% confidence intervals [CIs]) for low-increasing, moderate-stable, and elevated-stable groups were 3.25 (2.7-3.9), 5.3 (4.5-6.3), and 9.2 (7.7-11.1) for preeclampsia/eclampsia' and 6.4 (4.9-8.3), 13.6 (10.5-17.7), and 30.2 (23.2-39.4) for gestational hypertension. Race/ethnicity, and prepregnancy obesity modified the trajectory-group associations with preeclampsia/eclampsia (interaction P<0.01), with highest risks for Black, then Hispanic and Asian women for all blood pressure trajectories, and with increasing obesity class. CONCLUSIONS Early pregnancy blood pressure patterns revealed racial and ethnic differences in associations with preeclampsia/eclampsia risk within equivalent levels and patterns. These blood pressure patterns may improve individual risk stratification permitting targeted surveillance and early mitigation strategies.
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Affiliation(s)
- Erica P. Gunderson
- Division of Research, Kaiser Permanente Northern California, Oakland, CA,Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, CA
| | - Mara Greenberg
- Department of Obstetrics and Gynecology, Kaiser Permanente, Oakland Medical Center, CA
| | - Mai N. Nguyen-Huynh
- Division of Research, Kaiser Permanente Northern California, Oakland, CA,Department of Neurology, Kaiser Permanente Walnut Creek Medical Center, Walnut Creek, CA
| | - Cassidy Tierney
- Department of Obstetrics and Gynecology, Kaiser Permanente, Oakland Medical Center, CA
| | - James M. Roberts
- Magee-Womens Research Institute, Department of Obstetrics, Gynecology and Reproductive Sciences, Epidemiology and Clinical and Translational Research, University of Pittsburgh, PA
| | - Alan S. Go
- Division of Research, Kaiser Permanente Northern California, Oakland, CA,Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, CA,Departments of Epidemiology, Biostatistics and Medicine, University of California
| | - Wei Tao
- Division of Research, Kaiser Permanente Northern California, Oakland, CA
| | - Stacey E. Alexeeff
- Division of Research, Kaiser Permanente Northern California, Oakland, CA
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24
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Catov JM, Sun B, Lewis CE, Bertolet M, Gunderson EP. Prepregnancy weight change associated with high gestational weight gain. Obesity (Silver Spring) 2022; 30:524-534. [PMID: 35080338 PMCID: PMC9996907 DOI: 10.1002/oby.23354] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/22/2021] [Revised: 10/19/2021] [Accepted: 11/05/2021] [Indexed: 01/03/2023]
Abstract
OBJECTIVE Gestational weight gain (GWG) above recommendations is a risk factor for adverse maternal, perinatal, and long-term outcomes. This study hypothesized that prepregnancy weight gain may portend excess GWG. METHODS Among 1,126 women (51% of whom were of Black race) in the Coronary Artery Risk Development in Young Adults (CARDIA) study with post-baseline births, the prepregnancy annual rate of BMI change per woman was estimated (slope; 5 years before pregnancy) and was related to the risk of GWG above Institute of Medicine recommendations using mixed-effects models (binary) and GWG z score (continuous), adjusting for confounders, and stratified by prepregnancy overweight/obesity status. RESULTS A total of 626 women (56%) had excess GWG. Each standard deviation increase in prepregnancy BMI (0.16 kg/m2 per year) was associated with an 18% increased risk of excess GWG (95% CI: 1.13-1.23), adjusted for covariates. Stratified results showed an association for women without overweight or obesity (adjusted relative risk = 1.71 [95% CI: 1.38-2.13]) but not among those with overweight or obesity (adjusted relative risk = 0.98 [95% CI: 0.91-1.05]). When evaluated as a z score, prepregnancy weight gain was associated with higher GWG among women with and without overweight or obesity (mean = 0.24 [0.10] and 0.28 [0.12] z score, respectively). CONCLUSIONS Weight gain before pregnancy is associated with higher GWG during pregnancy. Assessment of prepregnancy weight changes may identify those at risk for high GWG.
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Affiliation(s)
- Janet M Catov
- Department of Obstetrics, Gynecology and Reproductive Sciences, School of Medicine, Magee-Women's Research Institute, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Baiyang Sun
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Cora E Lewis
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Marnie Bertolet
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Erica P Gunderson
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA
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25
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Wang MC, Shah NS, Petito LC, Gunderson EP, Grobman WA, O'Brien MJ, Khan SS. Gestational Diabetes and Overweight/Obesity: Analysis of Nulliparous Women in the U.S., 2011-2019. Am J Prev Med 2021; 61:863-871. [PMID: 34446313 PMCID: PMC8608700 DOI: 10.1016/j.amepre.2021.05.036] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Revised: 05/07/2021] [Accepted: 05/25/2021] [Indexed: 01/22/2023]
Abstract
INTRODUCTION The rates of gestational diabetes mellitus are increasing in parallel with the rates of overweight and obesity. This analysis examines nationwide trends in the population-attributable fraction for gestational diabetes mellitus associated with prepregnancy overweight and obesity. METHODS A serial, cross-sectional study was performed using U.S. population-based birth data files maintained by the National Center for Health Statistics between 2011 and 2019. Live singleton births to nulliparous women aged 15-44 years were included, and all analyses were stratified by race/ethnicity (non-Hispanic White, non-Hispanic Black, Hispanic, non-Hispanic Asian). Prevalences of prepregnancy overweight (25.0-29.9 kg/m2 and 23.0-27.4 kg/m2) and obesity (≥30.0 kg/m2 and ≥27.5 kg/m2) based on standard and Asian-specific BMI categories, respectively, were quantified. Logistic regression estimated the adjusted associations between prepregnancy overweight and obesity and gestational diabetes mellitus, with normal weight (18.0-24.9 kg/m2and 18.0-22.9 kg/m2) as the ref. Annual population-attributable fractions for gestational diabetes mellitus associated with prepregnancy overweight and obesity were calculated, which account for both the prevalence of the risk factor and the associated risk of gestational diabetes mellitus. RESULTS Among 11,950,881 included women, the mean maternal age was 26.3 years. From 2011 to 2019, the population-attributable fractions for gestational diabetes mellitus associated with overweight were stable (Hispanic: 12.0%-11.3%, non-Hispanic Asian: 12.1%-11.6%, p≥0.20) or decreased (non-Hispanic White: 10.8%-9.4%, non-Hispanic Black: 12.3%-9.2%, p<0.002); the population-attributable fractions for gestational diabetes mellitus associated with obesity were stable (non-Hispanic Black: 36.3%-37.9%, p=0.11) or increased (non-Hispanic White: 30.9%-33.3%, Hispanic: 27.2%-33.3%, non-Hispanic Asian 12.2%-15.4%, p<0.001). CONCLUSIONS The population-attributable fractions for gestational diabetes mellitus associated with obesity largely increased in the past decade, underscoring the importance of optimizing weight before pregnancy.
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Affiliation(s)
- Michael C Wang
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Nilay S Shah
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois; Division of Cardiology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Lucia C Petito
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Erica P Gunderson
- Division of Research, Kaiser Permanente Northern California, Oakland, California
| | - William A Grobman
- Department of Obstetrics & Gynecology, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Matthew J O'Brien
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois; Division of General Internal Medicine and Geriatrics, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Sadiya S Khan
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois; Division of Cardiology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
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26
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Hansen AL, Søndergaard MM, Hlatky MA, Vittinghof E, Nah G, Stefanick ML, Manson JE, Farland LV, Wells GL, Mongraw-Chaffin M, Gunderson EP, Van Horn L, Wild RA, Liu B, Shadyab AH, Allison MA, Liu S, Eaton CB, Honigberg MC, Parikh NI. Adverse Pregnancy Outcomes and Incident Heart Failure in the Women's Health Initiative. JAMA Netw Open 2021; 4:e2138071. [PMID: 34882182 PMCID: PMC8662370 DOI: 10.1001/jamanetworkopen.2021.38071] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/06/2023] Open
Abstract
IMPORTANCE Some prior evidence suggests that adverse pregnancy outcomes (APOs) may be associated with heart failure (HF). Identifying unique factors associated with the risk of HF and studying HF subtypes are important next steps. OBJECTIVE To investigate the association of APOs with incident HF overall and stratified by HF subtype (preserved vs reduced ejection fraction) among postmenopausal women in the Women's Health Initiative (WHI). DESIGN, SETTING, AND PARTICIPANTS In 2017, an APO history survey was administered in the WHI study, a large multiethnic cohort of postmenopausal women. The associations of 5 APOs (gestational diabetes, hypertensive disorders of pregnancy [HDP], low birth weight, high birth weight, and preterm delivery) with incident adjudicated HF were analyzed. In this cohort study, the association of each APO with HF was assessed using logistic regression models and with HF subtypes using multinomial regression, adjusting for age, sociodemographic characteristics, smoking, randomization status, reproductive history, and other APOs. Data analysis was performed from January 2020 to September 2021. EXPOSURES APOs (gestational diabetes, HDP, low birth weight, high birth weight, and preterm delivery). MAIN OUTCOMES AND MEASURES All confirmed cases of women hospitalized with HF and HF subtype were adjudicated by trained physicians using standardized methods. RESULTS Of 10 292 women (median [IQR] age, 60 [55-64] years), 3185 (31.0%) reported 1 or more APO and 336 (3.3%) had a diagnosis of HF. Women with a history of any APO had a higher prevalence of hypertension, diabetes, coronary heart disease, or smoking. Of the APOs studied, only HDP was significantly associated with HF with a fully adjusted odds ratio (OR) of 1.75 (95% CI, 1.22-2.50), and with HF with preserved ejection fraction in fully adjusted models (OR, 2.06; 95% CI, 1.29-3.27). In mediation analyses, hypertension explained 24% (95% CI, 12%-73%), coronary heart disease 23% (95% CI, 11%-68%), and body mass index 20% (95% CI, 10%-64%) of the association between HDP and HF. CONCLUSIONS AND RELEVANCE In this large cohort of postmenopausal women, HDP was independently associated with incident HF, particularly HF with preserved ejection fraction, and this association was mediated by subsequent hypertension, coronary heart disease, and obesity. These findings suggest that monitoring and modifying these factors early in women presenting with HDP may be associated with reduced long-term risk of HF.
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Affiliation(s)
| | | | - Mark A. Hlatky
- Department of Health Research and Policy, Stanford University School of Medicine, Stanford, California
| | - Eric Vittinghof
- Department of Epidemiology and Biostatistics, University of California San Francisco School of Medicine, San Francisco
| | - Gregory Nah
- Department of Medicine, Division of Cardiology, University of California, San Francisco
| | - Marcia L. Stefanick
- Department of Health Research and Policy, Stanford University School of Medicine, Stanford, California
| | - JoAnn E. Manson
- Department of Preventive Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
| | - Leslie V. Farland
- Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson
| | | | - Morgana Mongraw-Chaffin
- Department of Epidemiology and Prevention, Wake Forest University School of Medicine, Winston-Salem, North Carolina
| | - Erica P. Gunderson
- Lifecourse Epidemiology of Diabetes and Heart Disease in Women and Youth Division of Research, Kaiser Permanente Northern California, Oakland
| | - Linda Van Horn
- Feinberg School of Medicine, Northwestern University, Chicago, Illinois
| | - Robert A. Wild
- Department of Biostatistics and Epidemiology, Oklahoma University Health Sciences Center, Oklahoma City
- Department of Obstetrics and Gynecology, Oklahoma University Health Sciences Center, Oklahoma City
| | - Buyun Liu
- Department of Epidemiology, University of Iowa, Iowa City
| | | | | | - Simin Liu
- Department of Epidemiology, Public Health Program, Brown University, Providence, Rhode Island
| | - Charles B. Eaton
- Alpert Medical School, Brown University, Pawtucket, Rhode Island
| | - Michael C. Honigberg
- Cardiology Division, Massachusetts General Hospital, Boston
- Broad Institute of Harvard and Massachusetts Institute of Technology, Cambridge
| | - Nisha I. Parikh
- Department of Medicine, Division of Cardiology, University of California, San Francisco
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27
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Zhang Z, Lai M, Piro AL, Alexeeff SE, Allalou A, Röst HL, Dai FF, Wheeler MB, Gunderson EP. Intensive lactation among women with recent gestational diabetes significantly alters the early postpartum circulating lipid profile: the SWIFT study. BMC Med 2021; 19:241. [PMID: 34620173 PMCID: PMC8499506 DOI: 10.1186/s12916-021-02095-1] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Accepted: 08/12/2021] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Women with a history of gestational diabetes mellitus (GDM) have a 7-fold higher risk of developing type 2 diabetes (T2D). It is estimated that 20-50% of women with GDM history will progress to T2D within 10 years after delivery. Intensive lactation could be negatively associated with this risk, but the mechanisms behind a protective effect remain unknown. METHODS In this study, we utilized a prospective GDM cohort of 1010 women without T2D at 6-9 weeks postpartum (study baseline) and tested for T2D onset up to 8 years post-baseline (n=980). Targeted metabolic profiling was performed on fasting plasma samples collected at both baseline and follow-up (1-2 years post-baseline) during research exams in a subset of 350 women (216 intensive breastfeeding, IBF vs. 134 intensive formula feeding or mixed feeding, IFF/Mixed). The relationship between lactation intensity and circulating metabolites at both baseline and follow-up were evaluated to discover underlying metabolic responses of lactation and to explore the link between these metabolites and T2D risk. RESULTS We observed that lactation intensity was strongly associated with decreased glycerolipids (TAGs/DAGs) and increased phospholipids/sphingolipids at baseline. This lipid profile suggested decreased lipogenesis caused by a shift away from the glycerolipid metabolism pathway towards the phospholipid/sphingolipid metabolism pathway as a component of the mechanism underlying the benefits of lactation. Longitudinal analysis demonstrated that this favorable lipid profile was transient and diminished at 1-2 years postpartum, coinciding with the cessation of lactation. Importantly, when stratifying these 350 women by future T2D status during the follow-up (171 future T2D vs. 179 no T2D), we discovered that lactation induced robust lipid changes only in women who did not develop incident T2D. Subsequently, we identified a cluster of metabolites that strongly associated with future T2D risk from which we developed a predictive metabolic signature with a discriminating power (AUC) of 0.78, superior to common clinical variables (i.e., fasting glucose, AUC 0.56 or 2-h glucose, AUC 0.62). CONCLUSIONS In this study, we show that intensive lactation significantly alters the circulating lipid profile at early postpartum and that women who do not respond metabolically to lactation are more likely to develop T2D. We also discovered a 10-analyte metabolic signature capable of predicting future onset of T2D in IBF women. Our findings provide novel insight into how lactation affects maternal metabolism and its link to future diabetes onset. TRIAL REGISTRATION ClinicalTrials.gov NCT01967030 .
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Affiliation(s)
- Ziyi Zhang
- Department of Physiology, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.,Department of Endocrinology, Sir Run Run Shaw Hospital, Zhejiang University, Zhejiang, Hangzhou, China
| | - Mi Lai
- Department of Physiology, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Anthony L Piro
- Department of Physiology, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Stacey E Alexeeff
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA
| | - Amina Allalou
- Department of Physiology, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Hannes L Röst
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, Ontario, Canada
| | - Feihan F Dai
- Department of Physiology, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
| | - Michael B Wheeler
- Department of Physiology, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada. .,Metabolism Research Group, Division of Advanced Diagnostics, Toronto General Research Institute, Toronto, Ontario, Canada.
| | - Erica P Gunderson
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA. .,Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, USA.
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28
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Shah NS, Wang MC, Freaney PM, Perak AM, Carnethon MR, Kandula NR, Gunderson EP, Bullard KM, Grobman WA, O’Brien MJ, Khan SS. Trends in Gestational Diabetes at First Live Birth by Race and Ethnicity in the US, 2011-2019. JAMA 2021; 326:660-669. [PMID: 34402831 PMCID: PMC8371572 DOI: 10.1001/jama.2021.7217] [Citation(s) in RCA: 132] [Impact Index Per Article: 44.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
IMPORTANCE Gestational diabetes is associated with adverse maternal and offspring outcomes. OBJECTIVE To determine whether rates of gestational diabetes among individuals at first live birth changed from 2011 to 2019 and how these rates differ by race and ethnicity in the US. DESIGN, SETTING, AND PARTICIPANTS Serial cross-sectional analysis using National Center for Health Statistics data for 12 610 235 individuals aged 15 to 44 years with singleton first live births from 2011 to 2019 in the US. EXPOSURES Gestational diabetes data stratified by the following race and ethnicity groups: Hispanic/Latina (including Central and South American, Cuban, Mexican, and Puerto Rican); non-Hispanic Asian/Pacific Islander (including Asian Indian, Chinese, Filipina, Japanese, Korean, and Vietnamese); non-Hispanic Black; and non-Hispanic White. MAIN OUTCOMES AND MEASURES The primary outcomes were age-standardized rates of gestational diabetes (per 1000 live births) and respective mean annual percent change and rate ratios (RRs) of gestational diabetes in non-Hispanic Asian/Pacific Islander (overall and in subgroups), non-Hispanic Black, and Hispanic/Latina (overall and in subgroups) individuals relative to non-Hispanic White individuals (referent group). RESULTS Among the 12 610 235 included individuals (mean [SD] age, 26.3 [5.8] years), the overall age-standardized gestational diabetes rate significantly increased from 47.6 (95% CI, 47.1-48.0) to 63.5 (95% CI, 63.1-64.0) per 1000 live births from 2011 to 2019, a mean annual percent change of 3.7% (95% CI, 2.8%-4.6%) per year. Of the 12 610 235 participants, 21% were Hispanic/Latina (2019 gestational diabetes rate, 66.6 [95% CI, 65.6-67.7]; RR, 1.15 [95% CI, 1.13-1.18]), 8% were non-Hispanic Asian/Pacific Islander (2019 gestational diabetes rate, 102.7 [95% CI, 100.7-104.7]; RR, 1.78 [95% CI, 1.74-1.82]), 14% were non-Hispanic Black (2019 gestational diabetes rate, 55.7 [95% CI, 54.5-57.0]; RR, 0.97 [95% CI, 0.94-0.99]), and 56% were non-Hispanic White (2019 gestational diabetes rate, 57.7 [95% CI, 57.2-58.3]; referent group). Gestational diabetes rates were highest in Asian Indian participants (2019 gestational diabetes rate, 129.1 [95% CI, 100.7-104.7]; RR, 2.24 [95% CI, 2.15-2.33]). Among Hispanic/Latina participants, gestational diabetes rates were highest among Puerto Rican individuals (2019 gestational diabetes rate, 75.8 [95% CI, 71.8-79.9]; RR, 1.31 [95% CI, 1.24-1.39]). Gestational diabetes rates increased among all race and ethnicity subgroups and across all age groups. CONCLUSIONS AND RELEVANCE Among individuals with a singleton first live birth in the US from 2011 to 2019, rates of gestational diabetes increased across all racial and ethnic subgroups. Differences in absolute gestational diabetes rates were observed across race and ethnicity subgroups.
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Affiliation(s)
- Nilay S. Shah
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
- Division of Cardiology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Michael C. Wang
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Priya M. Freaney
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
- Division of Cardiology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Amanda M. Perak
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
- Division of Cardiology, Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Mercedes R. Carnethon
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Namratha R. Kandula
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
- Division of General Internal Medicine and Geriatrics, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | | | - Kai McKeever Bullard
- Centers for Disease Control and Prevention, Division of Diabetes Translation, National Center for Chronic Disease Prevention and Health Promotion, Atlanta, Georgia
| | - William A. Grobman
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
- Department of Obstetrics and Gynecology, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Matthew J. O’Brien
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
- Division of General Internal Medicine and Geriatrics, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Sadiya S. Khan
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
- Division of Cardiology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
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Kim K, Joyce BT, Zheng Y, Schreiner PJ, Jacobs DR, Catov JM, Shikany JM, Carnethon MR, Greenland P, Van Horn LV, Allen NB, Lloyd-Jones DM, Gunderson EP, Hou L. DNA Methylation GrimAge and Incident Diabetes: The Coronary Artery Risk Development in Young Adults (CARDIA) Study. Diabetes 2021; 70:1404-1413. [PMID: 33820761 PMCID: PMC8275890 DOI: 10.2337/db20-1167] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2020] [Accepted: 03/27/2021] [Indexed: 12/21/2022]
Abstract
DNA methylation (DNAm)-based biological age (epigenetic age) has been suggested as a useful biomarker of age-related conditions including type 2 diabetes (T2D), and its newest iterations (GrimAge measurements) have shown early promise. In this study, we explored the association between epigenetic age and incident T2D in the context of their relationships with obesity. A total of 1,057 participants in the Coronary Artery Risk Development in Young Adults (CARDIA) study were included in the current analyses. We stratified the participants into three groups: normal weight, overweight, and obese. A 1-year increase of GrimAge was associated with higher 10-year (study years 15-25) incidence of T2D (odds ratio [OR] 1.06, 95% CI 1.01-1.11). GrimAge acceleration, which represents the deviation of GrimAge from chronological age, was derived from the residuals of a model of GrimAge and chronological age, and any GrimAge acceleration (positive GrimAA: having GrimAge older than chronological age) was associated with significantly higher odds of 10-year incidence of T2D in obese participants (OR 2.57, 95% CI 1.61-4.11). Cumulative obesity was estimated by years since obesity onset, and GrimAge partially mediated the statistical association between cumulative obesity and incident diabetes or prediabetes (proportion mediated = 8.0%). In conclusion, both older and accelerated GrimAge were associated with higher risk of T2D, particularly among obese participants. GrimAge also statistically mediated the associations between cumulative obesity and T2D. Our findings suggest that epigenetic age measurements with DNAm can potentially be used as a risk factor or biomarker associated with T2D development.
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Affiliation(s)
- Kyeezu Kim
- Center for Global Oncology, Institute for Global Health, Northwestern University Feinberg School of Medicine, Chicago, IL
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL
- Division of Epidemiology and Biostatistics, School of Public Health, University of Illinois at Chicago, Chicago, IL
| | - Brian T Joyce
- Center for Global Oncology, Institute for Global Health, Northwestern University Feinberg School of Medicine, Chicago, IL
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Yinan Zheng
- Center for Global Oncology, Institute for Global Health, Northwestern University Feinberg School of Medicine, Chicago, IL
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Pamela J Schreiner
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN
| | - David R Jacobs
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN
| | - Janet M Catov
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA
| | - James M Shikany
- Division of Preventive Medicine, School of Medicine, University of Alabama at Birmingham, Birmingham, AL
| | - Mercedes R Carnethon
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Philip Greenland
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Linda V Van Horn
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Norrina B Allen
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Donald M Lloyd-Jones
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Erica P Gunderson
- Division of Research, Kaiser Permanente Northern California, Oakland, CA
| | - Lifang Hou
- Center for Global Oncology, Institute for Global Health, Northwestern University Feinberg School of Medicine, Chicago, IL
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL
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Appiah D, Lewis CE, Jacobs DR, Shikany JM, Quesenberry CP, Gross M, Carr J, Sidney S, Gunderson EP. The Association of Lactation Duration with Visceral and Pericardial Fat Volumes in Parous Women: The CARDIA Study. J Clin Endocrinol Metab 2021; 106:1821-1831. [PMID: 33524143 PMCID: PMC8118361 DOI: 10.1210/clinem/dgaa980] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/23/2020] [Indexed: 12/24/2022]
Abstract
BACKGROUND Lactation is associated with lower risks for cardiovascular disease in women. Organ-related adiposity, which plays significant roles in the development of cardiometabolic diseases, could help explain this observation. We evaluated the association of lactation duration with visceral (VAT) and pericardial (PAT) fat volumes in women. METHODS Data were obtained from 910 women enrolled in the Coronary Artery Risk Development in Young Adults (CARDIA) study (1985-1986) without diabetes prior to pregnancy who had ≥1 birth during 25 years of follow-up and had VAT and PAT measured from computed tomographic scans in 2010-2011. Cumulative lactation duration across all births since baseline was calculated from self-reports collected at periodic exams. RESULTS At baseline, the average age of women (48% black, 52% white) was 24 ± 3.7 years. After controlling for baseline age, race, smoking status, body mass index, fasting glucose, family history of diabetes, fat intake, total cholesterol, physical activity, and follow-up covariates (parity, gestational diabetes), the mean fat volumes across categories of lactation [none (n = 221), 1-5 months (n = 306), 6-11 months (n = 210), and ≥12 months (n = 173)] were 122.0, 113.7 105.0, and 110.1 cm3 for VAT and 52.2, 46.7, 44.5, and 43.4 cm3 for PAT, respectively. Changes in body weight from the first post-baseline birth to the end of follow-up mediated 21% and 18% of the associations of lactation with VAT and PAT, respectively. CONCLUSIONS In this prospective study, longer cumulative lactation duration was associated with lower VAT and PAT volumes, with weight gain partially mediating these associations.
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Affiliation(s)
- Duke Appiah
- Department of Public Health, Texas Tech University Health Sciences Center, Lubbock, TX, USA
- Correspondence: Duke Appiah, Department of Public Health, Texas Tech University Health Sciences Center, 3601 4th Street, STOP 9430. Lubbock, TX 79430, USA.
| | - Cora E Lewis
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - David R Jacobs
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - James M Shikany
- Division of Preventive Medicine, School of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
| | | | - Myron Gross
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA
| | - Jeff Carr
- Departments of Radiology, Biomedical Informatics, and Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Stephen Sidney
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Erica P Gunderson
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
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Vandyousefi S, Davis JN, Gunderson EP. Association of infant diet with subsequent obesity at 2-5 years among children exposed to gestational diabetes: the SWIFT study. Diabetologia 2021; 64:1121-1132. [PMID: 33495846 PMCID: PMC8016720 DOI: 10.1007/s00125-020-05379-y] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/15/2020] [Accepted: 11/02/2020] [Indexed: 10/22/2022]
Abstract
AIMS/HYPOTHESES This longitudinal analysis evaluated the independent and joint associations of any breastfeeding (BF) or exclusive BF (EBF) and intake of sugar-sweetened beverages (SSBs) and 100% fruit juice from birth to 1 year with subsequent overweight and obesity among young children exposed to gestational diabetes (GDM). METHODS The analysis utilised prospectively collected data from participants enrolled in the Study of Women, Infant Feeding and Type 2 Diabetes after GDM (SWIFT); 1035 pregnant women (20-45 years) diagnosed with GDM, of whom 75% were of Black, Hispanic or Asian race and ethnicity. Mother-infant dyad characteristics and infant dietary intake were assessed via research protocols at in-person examinations, telephone interviews and monthly mailed surveys from birth to 1 year. Child weight, length and height were obtained from electronic health records at birth (2008-2011) and ages 2-5 years (2010-2016) to classify BMI percentile groups (n = 835). RESULTS Adequate BF (≥6 months), adequate EBF duration (≥6 months), and SSB and 100% fruit juice intake in the first year were independently associated with child obesity at ages 2-5 years (all p < 0.05). Compared with children with adequate EBF and no intake of SSB or 100% fruit juice, those with adequate EBF and intake of 100% fruit juice and/or SSBs had a four- to fivefold higher odds of obesity (aOR 4.2, 95% CI:1.6, 11.2 for 100% fruit juice; aOR 4.5, 95% CI:1.4, 8.5 for fruit juice or SSBs; and aOR 4.7, 95% CI:1.4, 15 for SSBs; all p < 0.01), while those with inadequate EBF (<6 months) and intake of 100% fruit juice and/or SSBs had a six- to 12-fold higher odds of obesity (aOR 6.4, 95% CI:2.4, 17.2 for fruit juice; aOR 6.6, 95% CI:2.7, 14.8 for fruit juice or SSBs; and aOR 12.2, 95% CI:4.3, 25 for SSBs; all p < 0.001). Compared with children with adequate BF and no intake of SSB or 100% fruit juice, those with adequate BF and intake of 100% fruit juice and/or SSBs had a threefold higher odds of obesity (aOR 3.1, 95% CI:1.1, 7.3 for fruit juice; aOR 3.3, 95% CI:1.3, 8.3 for fruit juice or SSBs; and aOR 3.4, 95% CI:1.3, 8.5 for SSBs; all p < 0.05), while those with inadequate BF (<6 months) and intake of 100% fruit juice and/or SSB were associated with five- to tenfold higher odds of obesity (aOR 4.8, 95% CI:2.3, 12.2 for fruit juice; aOR 6.0, 95% CI:2.5, 12.8 for fruit juice or SSBs; aOR 9.5, 95% CI:3.7, 15.1 for SSBs; all p < 0.05). CONCLUSIONS/INTERPRETATION This is the first study to prospectively evaluate the relation of BF or EBF duration and intake of SSB and 100% fruit juice during the first year of life with subsequent obesity in children exposed to GDM. Adequate BF or EBF combined with avoidance of SSB and 100% fruit juice during early infancy may ameliorate future child obesity in this high-risk population.
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Affiliation(s)
- Sarvenaz Vandyousefi
- Department of Pediatrics, New York University Grossman School of Medicine, New York, NY, USA
| | - Jaimie N. Davis
- Department of Nutritional Sciences, University of Texas at Austin, Dell Pediatrics Research Institute, Austin, TX, USA
| | - Erica P. Gunderson
- Division of Research, Cardiovascular and Metabolic Conditions Section, Kaiser Permanente Northern California, Oakland, CA, USA
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Kirkegaard H, Bliddal M, Støvring H, Rasmussen KM, Gunderson EP, Køber L, Sørensen TIA, Nøhr EA. Maternal weight change from prepregnancy to 18 months postpartum and subsequent risk of hypertension and cardiovascular disease in Danish women: A cohort study. PLoS Med 2021; 18:e1003486. [PMID: 33798198 PMCID: PMC8051762 DOI: 10.1371/journal.pmed.1003486] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/23/2019] [Revised: 04/16/2021] [Accepted: 03/17/2021] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND One-fourth of women experience substantially higher weight years after childbirth. We examined weight change from prepregnancy to 18 months postpartum according to subsequent maternal risk of hypertension and cardiovascular disease (CVD). METHODS AND FINDINGS We conducted a cohort study of 47,966 women with a live-born singleton within the Danish National Birth Cohort (DNBC; 1997-2002). Interviews during pregnancy and 6 and 18 months postpartum provided information on height, gestational weight gain (GWG), postpartum weights, and maternal characteristics. Information on pregnancy complications, incident hypertension, and CVD was obtained from the National Patient Register. Using Cox regression, we estimated adjusted hazard ratios (HRs; 95% confidence interval [CI]) for hypertension and CVD through 16 years of follow-up. During this period, 2,011 women were diagnosed at the hospital with hypertension and 1,321 with CVD. The women were on average 32.3 years old (range 18.0-49.2) at start of follow-up, 73% had a prepregnancy BMI <25, and 27% a prepregnancy BMI ≥25. Compared with a stable weight (±1 BMI unit), weight gains from prepregnancy to 18 months postpartum of >1-2 and >2 BMI units were associated with 25% (10%-42%), P = 0.001 and 31% (14%-52%), P < 0.001 higher risks of hypertension, respectively. These risks were similar whether weight gain presented postpartum weight retention or a new gain from 6 months to 18 months postpartum and whether GWG was below, within, or above the recommendations. For CVD, findings differed according to prepregnancy BMI. In women with normal-/underweight, weight gain >2 BMI units and weight loss >1 BMI unit were associated with 48% (17%-87%), P = 0.001 and 28% (6%-55%), P = 0.01 higher risks of CVD, respectively. Further, weight loss >1 BMI unit combined with a GWG below recommended was associated with a 70% (24%-135%), P = 0.001 higher risk of CVD. No such increased risks were observed among women with overweight/obesity (interaction by prepregnancy BMI, P = 0.01, 0.03, and 0.03, respectively). The limitations of this observational study include potential confounding by prepregnancy metabolic health and self-reported maternal weights, which may lead to some misclassification. CONCLUSIONS Postpartum weight retention/new gain in all mothers and postpartum weight loss in mothers with normal-/underweight may be associated with later adverse cardiovascular health.
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Affiliation(s)
- Helene Kirkegaard
- Research Unit of Obstetrics and Gynecology, Department of Clinical Research, University of Southern Denmark, Odense, Denmark
- Open Patient Data Explorative Network (OPEN), Department of Clinical Research, University of Southern Denmark and Odense University Hospital, Odense, Denmark
- * E-mail:
| | - Mette Bliddal
- Open Patient Data Explorative Network (OPEN), Department of Clinical Research, University of Southern Denmark and Odense University Hospital, Odense, Denmark
| | - Henrik Støvring
- Department of Public Health, Biostatistics, Aarhus University, Aarhus, Denmark
| | - Kathleen M. Rasmussen
- Division of Nutritional Sciences, Cornell University, Ithaca, New York, United States of America
| | - Erica P. Gunderson
- Division of Research, Cardiovascular and Metabolic Conditions Section, Kaiser Permanente Northern California, Oakland, California, United States of America
| | - Lars Køber
- Department of Cardiology, Rigshospitalet, University Hospital, Copenhagen, Denmark
| | - Thorkild I. A. Sørensen
- Novo Nordisk Foundation Center for Basic Metabolic Research and Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Ellen A. Nøhr
- Research Unit of Obstetrics and Gynecology, Department of Clinical Research, University of Southern Denmark, Odense, Denmark
- Department of Gynecology and Obstetrics, Odense University Hospital, Odense, Denmark
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Parikh NI, Gonzalez JM, Anderson CAM, Judd SE, Rexrode KM, Hlatky MA, Gunderson EP, Stuart JJ, Vaidya D. Adverse Pregnancy Outcomes and Cardiovascular Disease Risk: Unique Opportunities for Cardiovascular Disease Prevention in Women: A Scientific Statement From the American Heart Association. Circulation 2021; 143:e902-e916. [PMID: 33779213 DOI: 10.1161/cir.0000000000000961] [Citation(s) in RCA: 235] [Impact Index Per Article: 78.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
This statement summarizes evidence that adverse pregnancy outcomes (APOs) such as hypertensive disorders of pregnancy, preterm delivery, gestational diabetes, small-for-gestational-age delivery, placental abruption, and pregnancy loss increase a woman's risk of developing cardiovascular disease (CVD) risk factors and of developing subsequent CVD (including fatal and nonfatal coronary heart disease, stroke, peripheral vascular disease, and heart failure). This statement highlights the importance of recognizing APOs when CVD risk is evaluated in women, although their value in reclassifying risk may not be established. A history of APOs is a prompt for more vigorous primordial prevention of CVD risk factors and primary prevention of CVD. Adopting a heart-healthy diet and increasing physical activity among women with APOs, starting in the postpartum setting and continuing across the life span, are important lifestyle interventions to decrease CVD risk. Lactation and breastfeeding may lower a woman's later cardiometabolic risk. Black and Asian women experience a higher proportion APOs, with more severe clinical presentation and worse outcomes, than White women. More studies on APOs and CVD in non-White women are needed to better understand and address these health disparities. Future studies of aspirin, statins, and metformin may better inform our recommendations for pharmacotherapy in primary CVD prevention among women who have had an APO. Several opportunities exist for health care systems to improve transitions of care for women with APOs and to implement strategies to reduce their long-term CVD risk. One proposed strategy includes incorporation of the concept of a fourth trimester into clinical recommendations and health care policy.
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Gunderson EP, Sun B, Catov JM, Carnethon M, Lewis CE, Allen NB, Sidney S, Wellons M, Rana JS, Hou L, Carr JJ. Gestational Diabetes History and Glucose Tolerance After Pregnancy Associated With Coronary Artery Calcium in Women During Midlife: The CARDIA Study. Circulation 2021; 143:974-987. [PMID: 33517667 PMCID: PMC7940578 DOI: 10.1161/circulationaha.120.047320] [Citation(s) in RCA: 45] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
BACKGROUND Gestational diabetes (GD) leads to earlier onset and heightened risk of type 2 diabetes, a strong risk factor for cardiovascular disease (CVD). However, it is unclear whether attaining normoglycemia can ameliorate the excess CVD risk associated with GD history. This study sought to evaluate GD history and glucose tolerance after pregnancy associated with coronary artery calcification (CAC) in women, a manifestation of atherosclerotic CVD and a predictor of CVD clinical events. METHODS Data were obtained from the CARDIA study (Coronary Artery Risk Development in Young Adults), a US multicenter, community-based prospective cohort of young Black (50%) and White adults aged 18 to 30 years at baseline (1985-1986). The sample included 1133 women without diabetes at baseline, who had ≥1 singleton births (n=2066) during follow-up, glucose tolerance testing at baseline and up to 5 times during 25 years (1986-2011), GD status, and CAC measurements obtained from 1 or more follow up examinations at years 15, 20, and 25 (2001-2011). CAC was measured by noncontrast cardiac computed tomography; dichotomized as Any CAC (score>0) or No CAC (score=0). Complementary log-log models for interval-censored data estimated adjusted hazard ratios of CAC and 95% confidence intervals for GD history and subsequent glucose tolerance groups (normoglycemia, prediabetes, or incident diabetes) on average 14.7 years after the last birth adjusted for prepregnancy and follow-up covariates. RESULTS Of 1133 women, 139 (12.3%) reported GD and were 47.6 years of age (4.8 SD) at follow-up. CAC was present in 25% (34/139) of women with GD and 15% (149/994) of women with no GD. In comparison with no GD/normoglycemia, adjusted hazard ratios (95% CIs) were 1.54 (1.06-2.24) for no GD/prediabetes and 2.17 (1.30-3.62) for no GD/incident diabetes, and 2.34 (1.34-4.09), 2.13 (1.09-4.17), and 2.02 (0.98-4.19) for GD/normoglycemia, GD/prediabetes, and GD/incident diabetes, respectively (overall P=0.003). CONCLUSIONS Women without previous GD showed a graded increase in the risk of CAC associated with worsening glucose tolerance. Women with a history of GD had a 2-fold higher risk of CAC across all subsequent levels of glucose tolerance. Midlife atherosclerotic CVD risk among women with previous GD is not diminished by attaining normoglycemia.
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Affiliation(s)
- Erica P. Gunderson
- Division of Research, Kaiser Permanente Northern California, Oakland, CA
| | - Baiyang Sun
- Departments of OB/GYN and Epidemiology, University of Pittsburgh, Pittsburgh, PA
| | - Janet M. Catov
- Departments of OB/GYN and Epidemiology, University of Pittsburgh, Pittsburgh, PA
| | | | - Cora E. Lewis
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL
| | - Norrina B. Allen
- Department of Epidemiology, Northwestern University, Chicago, IL
| | - Stephen Sidney
- Division of Research, Kaiser Permanente Northern California, Oakland, CA
| | | | - Jamal S. Rana
- Division of Research and the Department of Cardiology, Kaiser Permanente Northern, California, Oakland, CA
| | - Lifang Hou
- Department of Epidemiology, Northwestern University, Chicago, IL
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Watson C, Wei J, Varnado N, Rios N, Flanagan T, Alabaster A, Staunton M, Sterling SA, Gunderson EP, Young-Wolff KC. Adverse Childhood Experiences and Early and Continued Breastfeeding: Findings from an Integrated Health Care Delivery System. J Womens Health (Larchmt) 2021; 30:367-376. [PMID: 33538640 DOI: 10.1089/jwh.2020.8697] [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] [Indexed: 12/14/2022] Open
Abstract
Purpose: To examine whether adverse childhood experiences (ACEs) are associated with breastfeeding behaviors. Methods: Women in three Kaiser Permanente Northern California medical centers were screened for ACEs during standard prenatal care (N = 926). Multivariable binary and multinomial logistic regression was used to test whether ACEs (count and type) were associated with early breastfeeding at the 2-week newborn pediatric visit and continued breastfeeding at the 2-month pediatric visit, adjusting for covariates. Results: Overall, 58.2% of women reported 0 ACEs, 19.2% reported 1 ACE, and 22.6% reported 2+ ACEs. Two weeks postpartum, 92.2% reported any breastfeeding (62.9% exclusive, 29.4% mixed breastfeeding/formula). Compared with women with 0 ACEs, those with 2+ ACEs had increased odds of any breastfeeding (odds ratio [OR] = 2.7, 95% confidence interval [CI] = 1.3-5.6) and exclusive breastfeeding 2 weeks postpartum (OR = 3.0, 95% CI = 1.4-6.3). Among those who breastfed 2 weeks postpartum, 86.4% reported continued breastfeeding (57.5% exclusive, 28.9% mixed breastfeeding/formula) 2 months postpartum. ACE count was not associated with continued breastfeeding 2 months postpartum. Individual ACEs were not related to breastfeeding outcomes, with the exception that living with someone who went to jail or prison was associated with lower odds of continued breastfeeding 2 months postpartum. Conclusions: ACE count was associated with greater early breastfeeding, but not continued breastfeeding, among women screened for ACEs as part of standard prenatal care. Results reiterate the need to educate and assist all women to meet their breastfeeding goals, regardless of ACE score.
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Affiliation(s)
- Carey Watson
- Obstetrics and Gynecology, Kaiser Antioch Medical Center, Antioch, California, USA
| | - Julia Wei
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA
| | - Nicole Varnado
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA
| | - Normelena Rios
- Obstetrics and Gynecology, Kaiser Pleasanton Medical Center, Pleasanton, California, USA
| | - Tracy Flanagan
- The Permanente Medical Group, Regional Offices, Oakland, California, USA
| | - Amy Alabaster
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA
| | - Mary Staunton
- Psychiatry, Walnut Creek Medical Center, Walnut Creek, California, USA
| | - Stacy A Sterling
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA
| | - Erica P Gunderson
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA
| | - Kelly C Young-Wolff
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA
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Powell MJ, Dufault SM, Gunderson EP, Benz CC. Cancer and Cardiovascular Risk in Women With Hypertensive Disorders of Pregnancy Carrying a Common IGF1R Variant. Mayo Clin Proc 2020; 95:2684-2696. [PMID: 33168159 DOI: 10.1016/j.mayocp.2020.03.037] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2019] [Accepted: 03/31/2020] [Indexed: 12/28/2022]
Abstract
OBJECTIVE To evaluate the impact of insulin-like growth factor 1 receptor variant rs2016347 on the risk for breast and nonbreast cancers and cardiovascular disease in women with a history of hypertensive disorders of pregnancy (HDP). PATIENTS AND METHODS This retrospective cohort study included all parous women in the UK Biobank with prior rs2016347 genotyping (N=204,155), with enrollment taking place from March 2006 to July 2010. History of HDP was self-reported, and outcomes included breast and all nonbreast cancers, hospital diagnoses of hypertension and cardiovascular disease, and direct blood pressure measurements. RESULTS Women with previous HDP had a higher risk for future hypertension and cardiovascular diagnoses, increased blood pressures, and lower risk for breast cancer compared with women without HDP, consistent with prior studies. Hazard ratios for all nonbreast cancers were unchanged. However, when taking genotype into account, HDP-positive women carrying at least 1 thymine (T) allele of rs2016347 had a lower risk for nonbreast cancer (hazard ratio, 0.59; 95% CI, 0.37 to 0.92; P=.02) and lower systolic blood pressure (-2.08±0.98 mm Hg; P=.03) compared with women with the guanine/guanine (GG) genotype with positive evidence of interaction (HDP:T allele) for both outcomes; P=.04 and P=.03, respectively. CONCLUSION Women who experience HDP and carry a T allele of rs2016347 have 41% lower risk for developing nonbreast cancer and a lower systolic blood pressure of 2.08 mm Hg when compared with those with the GG genotype, suggesting a possible role of the insulin-like growth factor 1 axis for both cardiovascular and cancer risk in women with HDP.
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Affiliation(s)
| | - Suzanne M Dufault
- Graduate Group in Biostatistics, University of California, Berkeley, School of Public Health, Berkeley
| | - Erica P Gunderson
- Division of Research, Kaiser Permanente Northern California, Oakland
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Khan SR, Manialawy Y, Obersterescu A, Cox BJ, Gunderson EP, Wheeler MB. Diminished Sphingolipid Metabolism, a Hallmark of Future Type 2 Diabetes Pathogenesis, Is Linked to Pancreatic β Cell Dysfunction. iScience 2020; 23:101566. [PMID: 33103069 PMCID: PMC7578680 DOI: 10.1016/j.isci.2020.101566] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2020] [Revised: 07/20/2020] [Accepted: 09/11/2020] [Indexed: 12/12/2022] Open
Abstract
Gestational diabetes mellitus (GDM) is the top risk factor for future type 2 diabetes (T2D) development. Ethnicity profoundly influences who will transition from GDM to T2D, with high risk observed in Hispanic women. To better understand this risk, a nested 1:1 pair-matched, Hispanic-specific, case-control design was applied to a prospective cohort with GDM history. Women who were non-diabetic 6-9 weeks postpartum (baseline) were monitored for the development of T2D. Metabolomics were performed on baseline plasma to identify metabolic pathways associated with T2D risk. Notably, diminished sphingolipid metabolism was highly associated with future T2D. Defects in sphingolipid metabolism were further implicated by integrating metabolomics and genome-wide association data, which identified two significantly enriched T2D-linked genes, CERS2 and CERS4. Follow-up experiments in mice and cells demonstrated that inhibiting sphingolipid metabolism impaired pancreatic β cell function. These data suggest early postpartum alterations in sphingolipid biosynthesis contribute to β cell dysfunction and T2D risk.
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Affiliation(s)
- Saifur R. Khan
- Department of Physiology, University of Toronto, ON, Canada
- Advanced Diagnostics, Metabolism, Toronto General Research Institute, ON, Canada
| | - Yousef Manialawy
- Department of Physiology, University of Toronto, ON, Canada
- Advanced Diagnostics, Metabolism, Toronto General Research Institute, ON, Canada
| | | | - Brian J. Cox
- Department of Physiology, University of Toronto, ON, Canada
- Department of Obstetrics and Gynaecology, University of Toronto, ON, Canada
| | - Erica P. Gunderson
- Kaiser Permanente Northern California, Division of Research, Oakland, CA, USA
| | - Michael B. Wheeler
- Department of Physiology, University of Toronto, ON, Canada
- Advanced Diagnostics, Metabolism, Toronto General Research Institute, ON, Canada
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Sarkar M, Grab J, Dodge JL, Gunderson EP, Rubin J, Irani RA, Cedars M, Terrault N. Non-alcoholic fatty liver disease in pregnancy is associated with adverse maternal and perinatal outcomes. J Hepatol 2020; 73:516-522. [PMID: 32531415 PMCID: PMC7438303 DOI: 10.1016/j.jhep.2020.03.049] [Citation(s) in RCA: 68] [Impact Index Per Article: 17.0] [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: 11/23/2019] [Revised: 03/03/2020] [Accepted: 03/22/2020] [Indexed: 02/07/2023]
Abstract
BACKGROUND & AIMS The prevalence of non-alcoholic fatty liver disease (NAFLD) is rising in young adults, with potential implications for reproductive-aged women. Whether NAFLD during pregnancy confers more serious risks for maternal or perinatal health is unclear. METHODS Using weighted discharge data from the US national inpatient sample, we evaluated temporal trends of NAFLD in pregnancies after 20 weeks gestation, and compared outcomes to pregnancies with other chronic liver diseases (CLDs) or no CLD. Study outcomes included preterm birth, postpartum hemorrhage, hypertensive complications (pre-eclampsia, eclampsia, and/or hemolysis, elevated liver enzymes, and low platelets syndrome), and maternal or fetal death. NAFLD prevalence was estimated by calendar year and temporal trends tested by linear regression. Outcomes were analyzed by logistic regression adjusted for age, race, multiple gestation, and pre-pregnancy diabetes, obesity, dyslipidemia and hypertension. RESULTS Among 18,574,225 pregnancies, 5,640 had NAFLD and 115,210 had other, non-NAFLD CLD. Pregnancies with NAFLD nearly tripled from 10.5/100,000 pregnancies in 2007 to 28.9/100,000 in 2015 (p <0.001). Compared to the other groups, patients with NAFLD during pregnancy more frequently experienced gestational diabetes (7-8% vs. 23%), hypertensive complications (4% vs. 16%), postpartum hemorrhage (3-5% vs. 6%), and preterm birth (5-7% vs. 9%), all p values ≤0.01. On adjusted analysis, compared to no CLD, NAFLD was associated with hypertensive complications, preterm birth, postpartum hemorrhage and possibly maternal (but not fetal) death. CONCLUSION The prevalence of NAFLD in pregnancy has nearly tripled in the last decade and is independently associated with hypertensive complications, postpartum hemorrhage and preterm birth. NAFLD should be considered a high-risk obstetric condition, with clinical implications for pre-conception counseling and pregnancy care. LAY SUMMARY The prevalence of non-alcoholic fatty liver disease (NAFLD) in pregnancy has almost tripled over the past 10 years. Having NAFLD during pregnancy increases risks for both the mother and the baby, including hypertensive complications of pregnancy, bleeding after delivery, and preterm birth. Thus, pre-conception counseling is warranted with consideration of high-risk obstetric management among women with NAFLD in pregnancy.
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Affiliation(s)
- Monika Sarkar
- Division of GI/Hepatology, University of California, San Francisco, San Francisco, CA, USA.
| | - Joshua Grab
- University of California San Francisco, Department of Surgery
| | | | | | - Jessica Rubin
- University of California, San Francisco, Division of GI/Hepatology
| | - Roxanna A. Irani
- University of California, San Francisco, Department of Obstetrics and Gynecology
| | - Marcelle Cedars
- University of California, San Francisco, Department of Obstetrics and Gynecology
| | - Norah Terrault
- University of California, San Francisco, Department of Obstetrics and Gynecology
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Lai M, Al Rijjal D, Röst HL, Dai FF, Gunderson EP, Wheeler MB. Underlying dyslipidemia postpartum in women with a recent GDM pregnancy who develop type 2 diabetes. eLife 2020; 9:59153. [PMID: 32748787 PMCID: PMC7417169 DOI: 10.7554/elife.59153] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2020] [Accepted: 07/18/2020] [Indexed: 12/15/2022] Open
Abstract
Approximately, 35% of women with Gestational Diabetes (GDM) progress to Type 2 Diabetes (T2D) within 10 years. However, links between GDM and T2D are not well understood. We used a well-characterised GDM prospective cohort of 1035 women following up to 8 years postpartum. Lipidomics profiling covering >1000 lipids was performed on fasting plasma samples from participants 6–9 week postpartum (171 incident T2D vs. 179 controls). We discovered 311 lipids positively and 70 lipids negatively associated with T2D risk. The upregulation of glycerolipid metabolism involving triacylglycerol and diacylglycerol biosynthesis suggested activated lipid storage before diabetes onset. In contrast, decreased sphingomyelines, hexosylceramide and lactosylceramide indicated impaired sphingolipid metabolism. Additionally, a lipid signature was identified to effectively predict future diabetes risk. These findings demonstrate an underlying dyslipidemia during the early postpartum in those GDM women who progress to T2D and suggest endogenous lipogenesis may be a driving force for future diabetes onset.
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Affiliation(s)
- Mi Lai
- Department of Physiology, Faculty of Medicine, University of Toronto, Ontario, Canada
| | - Dana Al Rijjal
- Department of Physiology, Faculty of Medicine, University of Toronto, Ontario, Canada
| | - Hannes L Röst
- Donnelly Centre for Cellular & Biomolecular Research, University of Toronto, Ontario, Canada
| | - Feihan F Dai
- Department of Physiology, Faculty of Medicine, University of Toronto, Ontario, Canada
| | - Erica P Gunderson
- Kaiser Permanente Northern California, Division of Research, Oakland, United States
| | - Michael B Wheeler
- Department of Physiology, Faculty of Medicine, University of Toronto, Ontario, Canada.,Advanced Diagnostics, Metabolism, Toronto General Research Institute, Ontario, Canada
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Catov JM, Sun B, Bertolet M, Snyder GG, Lewis CE, Allen NB, Shikany JM, Ingram KH, Appiah D, Gunderson EP. Changes in Cardiometabolic Risk Factors Before and After Gestational Diabetes: A Prospective Life-Course Analysis in CARDIA Women. Obesity (Silver Spring) 2020; 28:1397-1404. [PMID: 32627948 PMCID: PMC7501158 DOI: 10.1002/oby.22848] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/10/2019] [Revised: 03/24/2020] [Accepted: 03/31/2020] [Indexed: 01/21/2023]
Abstract
OBJECTIVE This study hypothesized that both preconception and postchildbearing patterns of cardiometabolic risk factors may be different for women with gestational diabetes mellitus (GDM) compared with women without GDM. METHODS Among 1,302 (51% black) women in the Coronary Artery Risk Development in Young Adults (CARDIA) study with births and followed for 30 years, this study evaluated changes in cardiometabolic factors (BMI, waist circumference [WC], lipids, blood pressure) during prechildbearing (prior to the first postbaseline birth) and postchildbearing periods (after the last birth) by GDM status using piecewise linear mixed models adjusted for sociodemographics, parity, and time-varying covariates. RESULTS Compared with women who did not develop GDM, weight and WC increases in women who developed GDM (n = 152, 12%) were faster (BMI difference: +0.12 kg/m2 /y, P = 0.04; WC difference: +0.28 cm/y, P = 0.04) during the prechildbearing period, accounting for covariates. This translated to an average of 1.3 kg of excess weight gain across 4 years among women with subsequent GDM versus non-GDM births. In contrast, slopes after childbearing did not differ by GDM status, nor were there other cardiometabolic differences. CONCLUSIONS Women with GDM exhibited an increasing prepregnancy pattern of weight gain and central adiposity. Absolute postchildbearing weight was also higher in GDM-affected women, but the slope of gain after GDM was not.
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Affiliation(s)
- Janet M. Catov
- Department of Obstetrics, Gynecology and Reproductive Sciences and Epidemiology, University of Pittsburgh School of Medicine and Graduate School of Public Health; Magee-Womens Research Institute, Pittsburgh, PA, USA
| | - Baiyang Sun
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Marnie Bertolet
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Gabrielle G. Snyder
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Cora E. Lewis
- Division of Preventive Medicine, School of Medicine, University of Alabama at Birmingham School of Medicine; Department of Epidemiology School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Norrina B. Allen
- Department of Preventative Medicine and Pediatrics, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - James M. Shikany
- Division of Preventive Medicine, School of Medicine, University of Alabama at Birmingham School of Medicine; Department of Epidemiology School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Katherine H. Ingram
- Kennesaw State University, Department of Exercise Science and Sport Management, Kennesaw, GA, USA
| | - Duke Appiah
- Department of Public Health, Texas Tech University Health Sciences Center, Lubbock, TX
| | - Erica P. Gunderson
- Kaiser Permanente Northern California, Division of Research, Cardiovascular and Metabolic Conditions Section, Oakland, CA, USA
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Sun B, Bertolet M, Brooks MM, Hubel CA, Lewis CE, Gunderson EP, Catov JM. Life Course Changes in Cardiometabolic Risk Factors Associated With Preterm Delivery: The 30-Year CARDIA Study. J Am Heart Assoc 2020; 9:e015900. [PMID: 32696706 PMCID: PMC7792274 DOI: 10.1161/jaha.119.015900] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background Women who deliver preterm infants (<37 weeks) have excess cardiovascular risk; however, it is unclear whether the unfavorable changes in the cardiometabolic profile associated with preterm delivery initiate before, during, or after childbearing. Methods and Results We identified 1306 women (51% Black) with births between baseline (1985–1986) and year 30 in the CARDIA (Coronary Artery Risk Development in Young Adults) study. We compared life course changes in blood pressure, body mass index, waist circumference, and lipids in women with preterm deliveries (n=318) with those with all term deliveries (n=988), using piecewise linear mixed‐effects models. Specifically, we evaluated group differences in rates of change before and after the childbearing period and change in level across the childbearing period. After adjusting for the covariates, women with preterm deliveries had a higher change in diastolic blood pressure across the childbearing period than those with all term deliveries (1.59 versus −0.73 mm Hg, P<0.01); the rates of change did not differ by group, both prechildbearing and postchildbearing. Women with preterm deliveries had a larger body mass index increase across the childbearing period (1.66 versus 1.22 kg/m2, P=0.03) compared with those with all term deliveries, followed by a steeper increase after the childbearing period (0.22 versus 0.17 kg/m2 per year, P=0.02). Conclusions Preterm delivery was associated with unfavorable patterns of change in diastolic blood pressure and adiposity that originate during the childbearing years and persist or exacerbate later in life. These adverse changes may contribute to the elevated cardiovascular risk among women with preterm delivery.
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Affiliation(s)
- Baiyang Sun
- Department of Epidemiology University of Pittsburgh Graduate School of Public Health Pittsburgh PA
| | - Marnie Bertolet
- Department of Epidemiology University of Pittsburgh Graduate School of Public Health Pittsburgh PA
| | - Maria M Brooks
- Department of Epidemiology University of Pittsburgh Graduate School of Public Health Pittsburgh PA
| | - Carl A Hubel
- Department of Obstetrics, Gynecology, and Reproductive Sciences University of Pittsburgh School of Medicine Pittsburgh PA.,Magee-Womens Research Institute Pittsburgh PA
| | - Cora E Lewis
- Department of Epidemiology University of Alabama at Birmingham AL
| | - Erica P Gunderson
- Division of Research Kaiser Permanente Northern California Oakland CA
| | - Janet M Catov
- Department of Epidemiology University of Pittsburgh Graduate School of Public Health Pittsburgh PA.,Department of Obstetrics, Gynecology, and Reproductive Sciences University of Pittsburgh School of Medicine Pittsburgh PA.,Magee-Womens Research Institute Pittsburgh PA
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Lane-Cordova AD, Gunderson EP, Greenland P, Catov JM, Lewis CE, Pettee Gabriel K, Wellons MF, Carnethon MR. Life-Course Reproductive History and Cardiovascular Risk Profile in Late Mid-Life: The CARDIA Study. J Am Heart Assoc 2020; 9:e014859. [PMID: 32366209 PMCID: PMC7660840 DOI: 10.1161/jaha.119.014859] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Background Reproductive events, that is, a preterm birth (PTB), small‐for‐gestational‐age infant (SGA), and vasomotor symptoms of menopause, are associated with subclinical atherosclerotic cardiovascular disease (ASCVD). We evaluated whether women with a past PTB and/or SGA (henceforth PTB/SGA) were more likely to have severe vasomotor symptoms of menopause and whether the estimated 10‐year ASCVD risk was higher in women with PTB/SGA and vasomotor exposures. Methods and Results We assigned 1866 women (mean age=55±1 years) in the CARDIA (Coronary Artery Risk Development in Young Adults) study to the following categories of reproductive exposures: none, PTB/SGA only, vasomotor symptoms only, or both PTB/SGA and vasomotor symptoms. We used Kruskal‐Wallis tests to evaluate the differences in pooled cohort equation ASCVD risk scores by category and linear regression to evaluate the associations of categories with ASCVD risk scores adjusted for study center, body mass index, education, current hormone replacement therapy use, parity, and hysterectomy. Women with PTB/SGA were more likely to have severe vasomotor symptoms, 36% versus 30%, P<0.02. ASCVD risk score was higher in women with both PTB/SGA and vasomotor symptoms (4.6%; 95% CI, 4.1%–5.1%) versus women with no exposures (3.3%; 95% CI, 2.9%–3.7%) or vasomotor symptoms only (3.8%; 95% CI, 3.5%–4.0%). ASCVD risk score was higher in women PTB/SGA (4.8%; 95% CI, 3.6%–5.9%) versus no exposures. PTB/SGA and vasomotor symptoms was associated with ASCVD risk score in white women versus no exposures (β=0.40; 95% CI, 0.02–0.78). Conclusions Women with prior PTB/SGA were more likely to have severe vasomotor symptoms of menopause. Reproductive exposures were associated with an estimated 10‐year ASCVD risk in white women.
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Affiliation(s)
| | - Erica P Gunderson
- Division of Research Kaiser Permanente Northern California Oakland CA
| | - Philip Greenland
- Department of Preventive Medicine Feinberg School of Medicine Northwestern University Chicago IL
| | - Janet M Catov
- Magee-Women's Research Institute and Department of Epidemiology University of Pittsburgh Pittsburgh, PA
| | - Cora E Lewis
- Division of Preventive Medicine University of Alabama at Birmingham Birmingham, AL
| | | | | | - Mercedes R Carnethon
- Department of Preventive Medicine Feinberg School of Medicine Northwestern University Chicago IL
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Mehta PP, Colangelo L, Lane-Cordova A, Perak AM, Greenland P, Grobman W, Shah S, Carnethon M, Catov J, Allen N, Gunderson EP, Khan S. ADVERSE PREGNANCY OUTCOMES AND MID-LIFE CARDIAC MECHANICS: THE CORONARY ARTERY RISK DEVELOPMENT IN YOUNG ADULTS STUDY. J Am Coll Cardiol 2020. [DOI: 10.1016/s0735-1097(20)30557-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Harville EW, Lewis CE, Catov JM, Jacobs DR, Gross MD, Gunderson EP. A longitudinal study of pre-pregnancy antioxidant levels and subsequent perinatal outcomes in black and white women: The CARDIA Study. PLoS One 2020; 15:e0229002. [PMID: 32059045 PMCID: PMC7021312 DOI: 10.1371/journal.pone.0229002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2019] [Accepted: 01/28/2020] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND Although protective associations between dietary antioxidants and pregnancy outcomes have been reported, randomized controlled trials of supplementation have been almost uniformly negative. A possible explanation is that supplementation during pregnancy may be too late to have a beneficial effect. Therefore, we examined the relationship between antioxidant levels prior to pregnancy and birth outcomes. METHODS AND FINDINGS Serum carotenoids and tocopherols were assayed in fasting specimens at 1985-86 (baseline) and 1992-1993 (year 7) from 1,215 participants in Coronary Artery Risk Development in Young Adults (CARDIA) study. An interviewer-administered quantitative food-frequency questionnaire assessed dietary intake of antioxidants. Pregnancy outcome was self-reported at exams every 2 to 5 years. Linear and logistic regression modeling was used to assess relationships of low birthweight (LBW; <2,500 g), continuous infant birthweight, preterm birth (PTB; <37 weeks) and length of gestation with antioxidant levels adjusted for confounders, as well as interactions with age and race. RESULTS In adjusted models, lycopene was associated with higher odds of LBW (adjusted odds ratio for top quartile, 2.15, 95% confidence interval 1.14, 3.92) and shorter gestational age (adjusted beta coefficient -0.50 weeks). Dietary intake of antioxidants was associated with lower birthweight, while supplement use of vitamin C was associated with higher gestational age (0.41 weeks, 0.01, 0.81). CONCLUSIONS Higher preconception antioxidant levels are not associated with better birth outcomes.
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Affiliation(s)
- Emily W. Harville
- Department of Epidemiology, Tulane School of Public Health and Tropical Medicine, New Orleans, Los Angeles, United States of America
| | - Cora E. Lewis
- Division of Preventive Medicine, University of Alabama-Birmingham, Birmingham, Alabama, United States of America
| | - Janet M. Catov
- University of Pittsburgh Departments of OB/GYN and Epidemiology, Pittsburgh, Pennsylvania, United States of America
| | - David R. Jacobs
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota, United States of America
| | - Myron D. Gross
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota, United States of America
| | - Erica P. Gunderson
- Division of Research, Cardiovascular and Metabolism Section, Kaiser Permanente Northern California, Oakland, California, United States of America
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Harville EW, Mishra GD, Yeung E, Mumford SL, Schisterman EF, Jukic AM, Hatch EE, Mikkelsen EM, Jiang H, Ehrenthal DB, Porucznik CA, Stanford JB, Wen SW, Harvey A, Downs DS, Yajnik C, Santillan D, Santillan M, McElrath TF, Woo JG, Urbina EM, Chavarro JE, Sotres-Alvarez D, Bazzano L, Zhang J, Steiner A, Gunderson EP, Wise LA. The Preconception Period analysis of Risks and Exposures Influencing health and Development (PrePARED) consortium. Paediatr Perinat Epidemiol 2019; 33:490-502. [PMID: 31659792 PMCID: PMC6901022 DOI: 10.1111/ppe.12592] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [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: 05/06/2019] [Revised: 08/13/2019] [Accepted: 08/28/2019] [Indexed: 01/18/2023]
Abstract
BACKGROUND Preconception health may have intergenerational influences. We have formed the PrePARED (Preconception Period Analysis of Risks and Exposures influencing health and Development) research consortium to address methodological, conceptual, and generalisability gaps in the literature. OBJECTIVES The consortium will investigate the effects of preconception exposures on four sets of outcomes: (1) fertility and miscarriage; (2) pregnancy-related conditions; (3) perinatal and child health; and (4) adult health outcomes. POPULATION A study is eligible if it has data measured for at least one preconception time point, has a minimum of selected core data, and is open to collaboration and data harmonisation. DESIGN The included studies are a mix of studies following women or couples intending to conceive, general-health cohorts that cover the reproductive years, and pregnancy/child cohort studies that have been linked with preconception data. The majority of the participating studies are prospective cohorts, but a few are clinical trials or record linkages. METHODS Data analysis will begin with harmonisation of data collected across cohorts. Initial areas of interest include nutrition and obesity; tobacco, marijuana, and other substance use; and cardiovascular risk factors. PRELIMINARY RESULTS Twenty-three cohorts with data on almost 200 000 women have combined to form this consortium, begun in 2018. Twelve studies are of women or couples actively planning pregnancy, and six are general-population cohorts that cover the reproductive years; the remainder have some other design. The primary focus for four was cardiovascular health, eight was fertility, one was environmental exposures, three was child health, and the remainder general women's health. Among other cohorts assessed for inclusion, the most common reason for ineligibility was lack of prospectively collected preconception data. CONCLUSIONS The consortium will serve as a resource for research in many subject areas related to preconception health, with implications for science, practice, and policy.
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Affiliation(s)
- Emily W. Harville
- Department of Epidemiology, Tulane School of Public Health and Tropical Medicine, 1440 Canal St, New Orleans, LA, USA
| | - Gita D. Mishra
- School of Public Health, University of Queensland, 266 Herston Rd, Herston QLD 4006, Australia
| | - Edwina Yeung
- Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, 6710B Rockledge Dr, Bethesda, MD 20817, USA
| | - Sunni L Mumford
- Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, 6710B Rockledge Dr, Bethesda, MD 20817, USA
| | - Enrique F Schisterman
- Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, 6710B Rockledge Dr, Bethesda, MD 20817, USA
| | - Anne Marie Jukic
- Epidemiology Branch, National Institute of Environmental Health Sciences, 111 T. W. Alexander Drive P.O. Box 12233 Mail Drop A3-05, Durham, N.C. 27709, USA
| | - Elizabeth E. Hatch
- Department of Epidemiology, Boston University School of Public Health, 715 Albany Street, The Talbot Building, T3E & T4E, Boston, MA 02118, USA
| | - Ellen M. Mikkelsen
- Department of Clinical Epidemiology, Aarhus University Hospital, Olof Palmes Allé 43-45, 8200 Aarhus N, Denmark
| | - Hong Jiang
- Department of Maternal, Child and Adolescent Health, School of Public Health; Key Laboratory of Public Health Safety (Ministry of Education); Global Health Institute, Fudan University, Dong’an Rd, Xuhui Qu, Shanghai Shi, China
| | - Deborah B. Ehrenthal
- Department of Population Health Sciences, University of Wisconsin-Madison, Warf Office Bldg, 610 Walnut St #707, Madison, WI 53726, USA
| | - Christina A. Porucznik
- Division of Public Health, Department of Family and Preventive Medicine, School of Medicine, University of Utah, 375 Chipeta Way, Salt Lake City, UT 84108, USA
| | - Joseph B. Stanford
- Division of Public Health, Department of Family and Preventive Medicine, School of Medicine, University of Utah, 375 Chipeta Way, Salt Lake City, UT 84108, USA
| | - Shi-Wu Wen
- OMNI Research Group, Department of Obstetrics & Gynecology, University of Ottawa Faculty of Medicine, Ottawa, Canada; Ottawa Hospital Research Institute, Clinical Epidemiology Program, Ottawa, Canada; The Ottawa Hospital, General Campus, 501 Smyth Road, Box 241, Ottawa, Ontario Canada, K1H 8L6
| | - Alysha Harvey
- OMNI Research Group, Department of Obstetrics & Gynecology, University of Ottawa Faculty of Medicine, Ottawa, Canada; Ottawa Hospital Research Institute, Clinical Epidemiology Program, Ottawa, Canada; The Ottawa Hospital, General Campus, 501 Smyth Road, Box 241, Ottawa, Ontario Canada, K1H 8L6
| | - Danielle Symons Downs
- Department of Kinesiology, College of Health and Human Development, Department of Obstetrics and Gynecology, College of Medicine, The Pennsylvania State University, 268Q Recreation Building, University Park, PA 16802, USA
| | - Chittaranjan Yajnik
- KEM Hospital Research Centre, 489 Sardar Moodliar Road, Rasta Peth, Pune, Maharashtra 411011, India
| | - Donna Santillan
- Department of Obstetrics and Gynecology, University of Iowa Hospitals & Clinics, 200 Hawkins Drive, Iowa City, IA USA
| | - Mark Santillan
- Department of Obstetrics and Gynecology, University of Iowa Hospitals & Clinics, 200 Hawkins Drive, Iowa City, IA USA
| | - Thomas F. McElrath
- Department of Obstetrics and Gynecology, Brigham and Women’s Hospital, Harvard Medical School, 75 Francis Street CWN-3, Boston, MA 02115, USA
| | - Jessica G. Woo
- Division of Biostatistics and Epidemiology, Cincinnati Children’s Hospital Medical Center and Department of Pediatrics, University of Cincinnati, 160 Panzeca Way, Kettering Lab Building, Room 127, Cincinnati, OH 45267, USA
| | - Elaine M. Urbina
- Heart Institute, Cincinnati Children’s Hospital Medical Center and Department of Pediatrics, University of Cincinnati, 3333 Burnet Ave, Cincinnati, OH 45229, USA
| | - Jorge E. Chavarro
- Department of Nutrition and Epidemiology, Harvard School of Public Health, 655 Huntington Avenue, Boston, Massachusetts 02115, USA
| | - Daniela Sotres-Alvarez
- Department of Biostatistics, University of North Carolina-Chapel Hill, 123 W. Franklin Street, Suite 450, CB #8030, Chapel Hill, NC 27516, USA
| | - Lydia Bazzano
- Department of Epidemiology, Tulane School of Public Health and Tropical Medicine, 1440 Canal St, New Orleans, LA, USA
| | - Jun Zhang
- Ministry of Education and Shanghai Key Laboratory of Children’s Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Anne Steiner
- Duke University Hospital, 5704 Fayetteville Road, Durham, NC, USA
| | - Erica P. Gunderson
- Division of Research, Kaiser Permanente Northern California, 2000 Broadway, Oakland, CA 94612, USA
| | - Lauren A. Wise
- Department of Epidemiology, Boston University School of Public Health, 715 Albany Street, The Talbot Building, T3E & T4E, Boston, MA 02118, USA
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Faith MS, Hittner JB, Gunderson EP. Links Between Childhood Obesity, Gestational Diabetes, and Infant Temperament-Reply. JAMA Pediatr 2019; 173:1000. [PMID: 31449298 DOI: 10.1001/jamapediatrics.2019.2746] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Affiliation(s)
- Myles S Faith
- Graduate School of Education, Department of Counseling, School, and Educational Psychology, University at Buffalo-State University of New York, Buffalo
| | - James B Hittner
- Department of Psychology, College of Charleston, Charleston, South Carolina
| | - Erica P Gunderson
- Cardiovascular and Metabolic Conditions Section, Division of Research, Kaiser Permanente Northern California, Oakland
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Camhi SM, Must A, Gona PN, Hankinson A, Odegaard A, Reis J, Gunderson EP, Jacobs DR, Carnethon MR. Duration and stability of metabolically healthy obesity over 30 years. Int J Obes (Lond) 2019; 43:1803-1810. [PMID: 30158567 PMCID: PMC6395568 DOI: 10.1038/s41366-018-0197-8] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/02/2018] [Revised: 07/19/2018] [Accepted: 07/30/2018] [Indexed: 12/18/2022]
Abstract
BACKGROUND Obese adults who are free from metabolic risk factors may develop risk factors over time. Our objective was to characterize development of obesity and duration of metabolically healthy obese (MHO) over 30 years. METHODS Participants in CARDIA who developed obesity (BMI ≥ 30 kg/m2) at follow-up exams during years 7, 10, 15, 20, 25, and 30 were analyzed. MHO was defined as obese and having 0 or 1 risk factor: ≥SBP/DBP 130/85 mmHg; fasting glucose ≥100 mg/dL/5.55 mmol/L; fasting triglycerides (≥150 mg/dL/1.69 mmol/L); and HDL-C (men <40 mg/dL/1.036 mmol/L, women <50 mg/dL/1.295 mmol/L) or on any medication(s) for these conditions. MHO duration (years) and obesity duration (years) were estimated for each subsequent time-point; and an overall cumulative duration was also calculated over available follow-up. MHO duration (%) was approximated as MHO duration ÷ obesity duration. Stable MHO was defined as 100% MHO duration over follow-up, while transient MHO was defined as <1-99%. Chi-squared tests were used to compare proportions by sex and race across obesity phenotypes. Multivariable-adjusted ANCOVA, adjusting for baseline BMI, age, race, and sex, was used to analyze obesity duration in all individuals who developed obesity, and also compare MHO duration (%) across race and sex in transient MHO individuals. RESULTS Of the 987 eligible participants who developed obesity, 51% were African American (AA), 56% were women. Higher percentages of AA were classified as transient MHO, and higher proportions of females were MHO (both p < 0.0001). Obesity duration (years) was higher in transient MHO compared with stable MHO (mean difference: 6.2 ± 0.5 years, p < 0.0001). Of those with transient MHO, African Americans (51.4 ± 1.6%) were more likely to have longer MHO duration compared to Caucasians (44.4 ± 1.9%, p = 0.005). CONCLUSION MHO status can be a transient phenotype which differs by sex and race. Future studies are needed to explore modifiable lifestyle/behavioral predictors associated with longer MHO duration.
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Affiliation(s)
| | | | | | | | | | - Jared Reis
- National Heart, Lung, and Blood Institute at the National Institutes of Health, Bethesda, MD, USA
| | - Erica P Gunderson
- Cardiovascular and Metabolic Conditions Section, Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
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Bancks MP, Carson AP, Lewis CE, Gunderson EP, Reis JP, Schreiner PJ, Yano Y, Carnethon MR. Fasting glucose variability in young adulthood and incident diabetes, cardiovascular disease and all-cause mortality. Diabetologia 2019; 62:1366-1374. [PMID: 31115643 PMCID: PMC7235631 DOI: 10.1007/s00125-019-4901-6] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/03/2019] [Accepted: 04/15/2019] [Indexed: 12/25/2022]
Abstract
AIMS/HYPOTHESIS The aim of this study was to determine whether long-term intra-individual variability in fasting glucose (FG) during young adulthood is associated with incident diabetes, cardiovascular disease (CVD) and mortality. METHODS We included participants from the Coronary Artery Risk Development in Young Adults (CARDIA) study, ages 18-30 years at baseline (1985-1986) and followed with eight examinations for up to 30 years. Long-term glucose variability was assessed using the CV (CV-FG) and the absolute difference between successive FG measurements (average real variability; ARV-FG). For participants who developed any event (diabetes, CVD or mortality), FG variability measurement was censored at the examination prior to event ascertainment. We estimated HRs for incident diabetes, CVD and mortality with adjustment for demographics, baseline FG, change in FG (censor - baseline) and time-varying education, smoking, alcohol consumption, BMI, physical activity, systolic BP, BP medications, LDL-cholesterol and cholesterol medications (and incident diabetes and diabetes medications for CVD and mortality outcomes). RESULTS Among 3769 black and white participants, there were 317 incident diabetes cases (102,677 person-years), 159 incident CVD events (110,314 person-years) and 174 deaths (111,390 person-years). After adjustment, HRs per 1 SD higher ARV-FG were 1.64 (95% CI 1.52, 1.78) for diabetes, 1.15 (95% CI 1.01, 1.31) for CVD and 1.25 (95% CI 1.11, 1.40) for mortality. The HRs per 1 SD higher CV-FG were 1.39 (95% CI 1.21, 1.58) for diabetes, 1.32 (95% CI 1.13, 1.54) for CVD and 1.08 (95% CI 0.92, 1.27) for mortality, after adjustment. The cause-specific HRs per 1 SD higher ARV-FG were 1.29 (95% CI 1.14, 1.47) for non-CVD death and 1.05 (95% CI 0.76, 1.45) for CVD death. We did not observe evidence for effect modification of any association by sex or race. CONCLUSIONS/INTERPRETATION Our results suggest that higher intra-individual FG variability during young adulthood before the onset of diabetes is associated with incident diabetes, CVD and mortality.
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Affiliation(s)
- Michael P Bancks
- Division of Public Health Sciences, Department of Epidemiology & Prevention, Wake Forest University School of Medicine, 525 Vine Street, 5th Floor, Winston-Salem, NC, 27101, USA.
| | - April P Carson
- University of Alabama at Birmingham, Birmingham, AL, USA
| | - Cora E Lewis
- University of Alabama at Birmingham, Birmingham, AL, USA
| | - Erica P Gunderson
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Jared P Reis
- National Heart, Lung, and Blood Institute, Bethesda, MD, USA
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Vandyousefi S, Goran MI, Gunderson EP, Khazaee E, Landry MJ, Ghaddar R, Asigbee FM, Davis JN. Association of breastfeeding and gestational diabetes mellitus with the prevalence of prediabetes and the metabolic syndrome in offspring of Hispanic mothers. Pediatr Obes 2019; 14:e12515. [PMID: 30734524 PMCID: PMC7470230 DOI: 10.1111/ijpo.12515] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/11/2018] [Accepted: 01/06/2019] [Indexed: 02/06/2023]
Abstract
BACKGROUND The effects of breastfeeding (BF) on metabolic syndrome (MetS) and diabetes mellitus in children exposed to gestational diabetes mellitus (GDM) in utero have rarely been evaluated. OBJECTIVE This study assessed BF and GDM in relation to the prevalence of prediabetes and MetS in Hispanic children and adolescents (8-19 y). METHODS This is a longitudinal study with 229 Hispanic children (8-13 y) with overweight/obesity, family history of diabetes, and an average of four annual visits (AV). Participants were categorized as follows: never (negative for prediabetes/MetS at all AVs), ever (positive for prediabetes/MetS at any visit), intermittent (positive for prediabetes/MetS at 1-2 AVs), and persistent (positive for prediabetes/MetS at greater than or equal to 3 AVs). RESULTS Compared with GDM offspring who were not BF (referent), GDM offspring who were BF had lower odds of persistent prediabetes (OR = 0.18; 95% CI, 0.04-0.82; P = 0.02) and MetS (OR = 0.10; 95% CI, 0.02-0.55; P = 0.008). Compared with referent group, non-GDM offspring who were BF, and non-GDM offspring not BF had lower odds of persistent prediabetes (OR = 0.10; 95% CI, 0.03-0.39; P = 0.001; OR = 0.05; 95% CI, 0.01-0.11; P < 0.001) and MetS (OR = 0.14; 95% CI, 0.04-0.59; P = 0.01 and OR = 0.04; 95% CI, 0.01-0.11; P < 0.001). CONCLUSIONS These results show BF is protective against prediabetes and MetS in offspring regardless of GDM status.
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Affiliation(s)
- Sarvenaz Vandyousefi
- Department of Nutritional Sciences, University of Texas at Austin, Austin, TX, USA
| | - Michael I. Goran
- Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Erica P. Gunderson
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Erfan Khazaee
- Department of Nutritional Sciences, University of Texas at Austin, Austin, TX, USA
| | - Matthew J. Landry
- Department of Nutritional Sciences, University of Texas at Austin, Austin, TX, USA
| | - Reem Ghaddar
- Department of Nutritional Sciences, University of Texas at Austin, Austin, TX, USA
| | - Fiona M. Asigbee
- Department of Nutritional Sciences, University of Texas at Austin, Austin, TX, USA
| | - Jaimie N. Davis
- Department of Nutritional Sciences, University of Texas at Austin, Austin, TX, USA
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Faith MS, Hittner JB, Hurston SR, Yin J, Greenspan LC, Quesenberry CP, Gunderson EP. Association of Infant Temperament With Subsequent Obesity in Young Children of Mothers With Gestational Diabetes Mellitus. JAMA Pediatr 2019; 173:424-433. [PMID: 30855657 PMCID: PMC6503510 DOI: 10.1001/jamapediatrics.2018.5199] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
IMPORTANCE Infant temperament is associated with excess weight gain or childhood obesity risk in samples of healthy individuals, although the evidence has been inconsistent. To our knowledge, no prior research has examined this topic among children exposed to gestational diabetes mellitus (GDM) in utero. OBJECTIVE To prospectively evaluate infant temperament in association with overweight and obesity status at ages 2 to 5 years among children born to mothers who experienced GDM. DESIGN, SETTING, AND PARTICIPANTS This prospective cohort study took place at Kaiser Permanente Northern California medical centers. We studied singleton infants delivered at 35 weeks' gestational age or later to mothers who had been diagnosed with GDM. Data were collected from 2009 to 2016, and data analysis occurred from June 2017 to October 2018. EXPOSURES The primary exposures in the child's first year were soothability, distress to limitations, and activity aspects of temperament, as assessed by a validated questionnaire. Modifiable covariates in the child's first year included breastfeeding intensity and duration monthly ratio scores, along with the timing of the introduction of sugary beverages and complementary foods. MAIN OUTCOMES AND MEASURES The primary outcome was child overweight and obesity status, assessed at ages 2 to 5 years. Multinomial logistic regression models estimated adjusted odds ratios and 95% CIs for infants whose temperaments were measured at 6 to 9 weeks of age and categorized as elevated (≥75th percentile) or not elevated in the 3 domains. We controlled for nonmodifiable and modifiable covariates across models. RESULTS A total of 382 mother-infant pairs participted, including 130 infants (34.0%) who were non-Hispanic white, 126 infants (33.0%) who were Hispanic, 96 infants (25.1%) who were Asian, 26 infants (6.8%) who were non-Hispanic black, and 4 infants (1.1%) who were of other races/ethnicities. In descriptive analyses, elevated infant soothability and activity temperaments were associated with the early introduction of 100% fruit juice and/or sugar-sweetened beverages (at ages <6 months) and shorter breastfeeding duration (from 0 to <3 months), while elevated distress to limitations was associated with early introduction of complementary foods (at ages <4 months). Elevated soothability consistently was associated with a higher odds of later childhood obesity, with adjusted odds ratios across models ranging from 2.22 (95% CI, 1.04-4.73) to 2.54 (95% CI, 1.28-5.03). Greater breastfeeding intensity and duration (12-month combined) score was associated with lower odds of obesity, independent of infant temperament and other covariates. CONCLUSIONS AND RELEVANCE Among this high-risk population of infants, elevated soothability was associated with early childhood obesity risk, perhaps in part because caregivers use sugary drinks to assuage infants. Soothability temperament may be a novel screening target for early obesity prevention interventions involving responsive feeding and emotion regulation.
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Affiliation(s)
- Myles S. Faith
- Department of Counseling, School, and Educational Psychology, Graduate School of Education, University at Buffalo–State University of New York, Buffalo
| | - James B. Hittner
- Department of Psychology, College of Charleston, Charleston, South Carolina
| | - Shanta R. Hurston
- Division of Research, Cardiovascular and Metabolic Conditions Section, Kaiser Permanente Northern California, Oakland
| | - Jie Yin
- Division of Research, Cardiovascular and Metabolic Conditions Section, Kaiser Permanente Northern California, Oakland
| | | | - Charles P. Quesenberry
- Division of Research, Cardiovascular and Metabolic Conditions Section, Kaiser Permanente Northern California, Oakland
| | - Erica P. Gunderson
- Division of Research, Cardiovascular and Metabolic Conditions Section, Kaiser Permanente Northern California, Oakland
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