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Whooten RC, Rifas-Shiman SL, Perng W, Chavarro JE, Taveras E, Oken E, Hivert MF. Associations of Childhood Adiposity and Cardiometabolic Biomarkers With Adolescent PCOS. Pediatrics 2024; 153:e2023064894. [PMID: 38634159 PMCID: PMC11035160 DOI: 10.1542/peds.2023-064894] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/05/2024] [Indexed: 04/19/2024] Open
Abstract
OBJECTIVE Polycystic Ovary Syndrome (PCOS) is common among females, with significant metabolic and reproductive comorbidities. We describe PCOS development in a pediatric population. METHODS We assessed cardiometabolic biomarkers and adiposity at the midchildhood (mean 7.9 y), early teen (mean 13.1 y), and midteen (mean 17.8 y) visits among 417 females in the prospective Project Viva cohort. We defined PCOS via self-reported diagnosis or ovulatory dysfunction with hyperandrogenism in midlate adolescence. We used multivariable logistic regression to assess associations of metabolic and adiposity markers at each visit with PCOS. RESULTS Adolescents with PCOS (n = 56, 13%) versus without had higher mean (SD) BMI z-score and truncal fat mass at the midchildhood (0.66 [0.99] vs 0.30 [1.04]; 3.5 kg [2.6] vs 2.7 [1.5]), early teen (0.88 [1.01] vs 0.25 [1.08]; 9.4 kg [6.7] vs 6.1 [3.4]), and midteen (0.78 [1.03] vs 0.33 [0.97]; 11.6 kg [7.2] vs 9.1 [4.9]) visits as well as lower adiponectin to leptin ratio at the early (0.65 [0.69] vs 1.04 [0.97]) and midteen (0.33 [0.26] vs 0.75 [1.21]) visits. In models adjusted for maternal PCOS, education and child race and ethnicity (social factors), we found higher odds of PCOS per 1-SD increase in truncal fat at midchildhood (odds ratio [OR] 1.42; 95% confidence interval [CI] 1.03-1.95) and early teen visits (OR 1.61; 95% CI 1.14-2.28) and lower odds per 1-SD increase in adiponectin/leptin ratio at the midteen visit (OR 0.14; 95% CI 0.03-0.58). CONCLUSIONS Childhood excess adiposity and adipose tissue dysfunction may be a first signs of later PCOS risk.
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Affiliation(s)
- Rachel C. Whooten
- Divisions of Pediatric Endocrinology
- General Academic, Department of Pediatrics, Massachusetts General Hospital for Children, Boston, Massachusetts
| | - Sheryl L. Rifas-Shiman
- Division of Chronic Disease Research Across the Life Course (CoRAL), Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
| | - Wei Perng
- Department of Epidemiology, Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Colorado School of Public Health, University of Colorado Denver Anschutz Medical Campus, Aurora, Colorado
| | - Jorge E. Chavarro
- Department of Nutrition, T. H. Chan Harvard School of Public Health, Boston, Massachusetts
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
| | - Elsie Taveras
- General Academic, Department of Pediatrics, Massachusetts General Hospital for Children, Boston, Massachusetts
- Department of Nutrition, T. H. Chan Harvard School of Public Health, Boston, Massachusetts
| | - Emily Oken
- Division of Chronic Disease Research Across the Life Course (CoRAL), Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
- Department of Nutrition, T. H. Chan Harvard School of Public Health, Boston, Massachusetts
| | - Marie-France Hivert
- Division of Chronic Disease Research Across the Life Course (CoRAL), Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
- Diabetes Unit, Massachusetts General Hospital, Boston, Massachusetts
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Nassikas NJ, Luttmann-Gibson H, Rifas-Shiman SL, Oken E, Gold DR, Rice MB. Acute exposure to pollen and airway inflammation in adolescents. Pediatr Pulmonol 2024; 59:1313-1320. [PMID: 38353177 PMCID: PMC11058013 DOI: 10.1002/ppul.26908] [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: 10/18/2023] [Revised: 01/08/2024] [Accepted: 01/31/2024] [Indexed: 02/22/2024]
Abstract
INTRODUCTION Pollen exposure is known to exacerbate allergic asthma and allergic rhinitis symptoms, yet few studies have investigated if exposure to pollen affects lung function or airway inflammation in healthy children. METHODS We evaluated the extent to which higher pollen exposure was associated with differences in airway inflammation and lung function among 490 early adolescent participants (mean age of 12.9 years) in Project Viva, a prebirth cohort based in Massachusetts. We obtained regional daily total pollen counts, including tree, grass, and weed pollen, from a Rotorod pollen counter. We evaluated associations of 3- and 7-day moving averages of pollen with fractional exhaled nitric oxide (FeNO) and lung function using linear regression models and evaluated the linearity of associations with penalized splines. We tested if associations of pollen with FeNO and lung function were modified by current asthma diagnosis, history of allergic rhinitis, aeroallergen sensitivity, temperature, precipitation, and air pollution. RESULTS Three- and 7-day median pollen concentrations were 19.0 grains/m3 (IQR: 73.4) and 20.9 grains/m3 (IQR: 89.7). In main models, higher concentrations of total pollen over the preceding 3 and 7 days were associated with a 4.6% (95% CI: 0.1,9.2) and 7.4% (95% CI: 0.9,14.3) higher FeNO per IQR of pollen, respectively. We did not find associations of pollen with lung function in main models. Asthma, allergic rhinitis, precipitation, and air pollution (nitrogen dioxide and ozone) modified associations of pollen with lung function (Pinteraction < 0.1), while temperature, sex, and aeroallergen sensitization did not. CONCLUSION Short-term exposure to pollen was associated with higher FeNO in early adolescents, even in the absence of allergic sensitization and asthma.
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Affiliation(s)
- Nicholas J. Nassikas
- Division of Pulmonary, Critical Care, and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, MA
| | - Heike Luttmann-Gibson
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA
| | - Sheryl L. Rifas-Shiman
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA
| | - Emily Oken
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA
| | - Diane R. Gold
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA
- Channing Division of Network Medicine, Harvard Medical School, Brigham and Women’s Hospital, Boston, MA
| | - Mary B. Rice
- Division of Pulmonary, Critical Care, and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, MA
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Mahabamunuge J, Wang S, Rifas-Shiman SL, Faleschini S, Fitz VW, Shifren J, Chavarro JE, Oken E, Hivert MF. Associations of anti-Müllerian hormone levels among women in their mid-30s with menopausal symptoms ~14 years later. Menopause 2024:00042192-990000000-00323. [PMID: 38688466 DOI: 10.1097/gme.0000000000002360] [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: 05/02/2024]
Abstract
OBJECTIVE The aim of this study was to examine associations of anti-Müllerian hormone (AMH) levels in gravid women in their mid-30s with menopausal symptoms ~14 years later and age at natural menopause. METHODS In this prospective analysis, 474 participants in Project Viva, a longitudinal cohort, were enrolled during pregnancy between 1999 and 2002. AMH levels were determined using plasma samples collected 3 years postpartum. Participants completed the Menopause Rating Scale (MRS) and self-reported age at and reason for menopause at the 17 years postpartum visit (Mid-Life Visit). Primary outcomes were individual MRS item responses and total MRS score. To examine associations between AMH levels and menopausal outcomes, we performed linear and logistic regressions, and survival analyses, adjusting for confounding variables. RESULTS Mean (SD) AMH level was 2.80 (2.74) ng/mL, measured at 38.2 (3.9) years. At the Mid-Life Visit, mean (SD) age was 52.3 (3.9) years and total MRS score was 8.0 (5.7). During follow-up, 50% had experienced natural menopause, and self-reported mean (SD) age at natural menopause was 50.4 (3.6) years. AMH in the lowest tertile (mean [SD]: 0.47 [0.32] ng/mL) was associated with higher odds of moderate to severe vaginal dryness (adjusted odds ratio: 2.58; 95% CI: 1.16 to 5.73), a lower MRS psychological subscale (adjusted β: -0.71; 95% CI: -1.35 to -0.07), and earlier attainment of natural menopause (adjusted hazards ratio: 7.1; 95% CI: 4.6 to 11.0) compared with AMH in the highest tertile (mean [SD]: 6.01 [2.37] ng/mL). CONCLUSIONS Lower AMH in the mid-30s was associated with earlier menopause and increased odds of vaginal dryness but fewer psychological symptoms ~14 years later.
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Affiliation(s)
| | - Siwen Wang
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Sheryl L Rifas-Shiman
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA
| | - Sabrina Faleschini
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA
| | - Victoria W Fitz
- Department of Obstetrics, Gynecology, and Reproductive Biology, Massachusetts General Hospital, Boston, MA
| | - Jan Shifren
- Department of Obstetrics, Gynecology, and Reproductive Biology, Massachusetts General Hospital, Boston, MA
| | - Jorge E Chavarro
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
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Switkowski KM, Kronsteiner-Gicevic S, Rifas-Shiman SL, Lightdale JR, Oken E. Evaluation of the Prime Diet Quality Score from Early Childhood Through Mid-Adolescence. J Nutr 2024:S0022-3166(24)00217-7. [PMID: 38614240 DOI: 10.1016/j.tjnut.2024.04.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Revised: 03/11/2024] [Accepted: 04/09/2024] [Indexed: 04/15/2024] Open
Abstract
BACKGROUND Few diet quality indices have been developed and validated for use among children and adolescents. Additionally, many available indices require completion of burdensome dietary assessments. OBJECTIVES We aimed to calculate and evaluate the performance of a modified version of the food-based Prime Diet Quality Score (PDQS) derived from different diet assessment methods conducted at 4 time points in a single study population from childhood through adolescence. METHODS Among 1460 child participants in the Project Viva cohort, we calculated the PDQS in early and mid-childhood and early and mid-adolescence using dietary data obtained from food frequency questionnaire (early childhood: parent report), PrimeScreen (mid-childhood: parent report; early adolescence: self-report) and 24-h recall (mid-adolescence: self-report). We evaluated construct and relative validity and internal reliability of the score in each life stage. RESULTS The PDQS showed a range of scores at all life stages and higher scores were associated with intake of many health-promoting macronutrients and micronutrients (e.g., protein, fiber, and vitamins) in early childhood and mid-adolescence. The PDQS performed similarly to the Youth Healthy Eating Index/Healthy Eating Index (Spearman r = 0.63-0.85) in various assessments. Higher PDQS was associated with expected characteristics including more frequent breakfast eating, family dinners, and vigorous physical activity; with less frequent TV viewing and fast food intake; and with more sleep and higher maternal diet scores during pregnancy. Cross-sectional associations of the PDQS with various anthropometric measurements and biomarkers were inconsistent but generally in the expected directions (e.g., higher PDQS associated with lower triglycerides and insulin and higher HDL cholesterol). Internal reliability was consistent with what has been found for other diet quality indices. CONCLUSIONS The PDQS can be calculated from data collected using different and brief dietary assessment methods and appears to be a valid and useful measure of overall diet quality in children and adolescents. Project Viva was registered at clinicaltrials.gov as NCT02820402.
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Affiliation(s)
- Karen M Switkowski
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, United States.
| | - Selma Kronsteiner-Gicevic
- Department of Epidemiology, Center for Public Health, Medical University of Vienna, Vienna, Austria; Department of Nutritional Sciences, Faculty of Life Sciences, University of Vienna, Vienna, Austria; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Sheryl L Rifas-Shiman
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, United States
| | - Jenifer R Lightdale
- Division of Gastroenterology, Hepatology and Nutrition, Department of Pediatrics, Boston Children's Hospital, Boston, MA, United States; Department of Pediatrics, Harvard Medical School, Boston, MA, United States
| | - Emily Oken
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, United States; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States
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Thilakaratne R, Lin PID, Rifas-Shiman SL, Landero J, Wright RO, Bellinger D, Oken E, Cardenas A. Cross-sectional and prospective associations of early childhood circulating metals with early and mid-childhood cognition in the Project Viva cohort. Environ Res 2024; 246:118068. [PMID: 38157961 PMCID: PMC10947878 DOI: 10.1016/j.envres.2023.118068] [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] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Revised: 12/15/2023] [Accepted: 12/26/2023] [Indexed: 01/03/2024]
Abstract
BACKGROUND Relatively little is known about the immediate and prospective neurodevelopmental impacts of joint exposure to multiple metals (i.e., metal mixtures) in early childhood. OBJECTIVES To estimate associations of early childhood (∼3 years of age) blood metal concentrations with cognitive test scores at early and mid-childhood (∼8 years of age). METHODS We studied children from the Project Viva cohort. We measured erythrocyte concentrations of seven essential (Co, Cu, Mg, Mn, Mo, Se, and Zn) and eight non-essential metals (As, Ba, Cd, Cs, Hg, Pb, Sn, and Sr) in early childhood blood samples. Trained research assistants administered cognitive tests assessing vocabulary, visual-motor ability, memory, and general intelligence (standard deviations: ∼10 points), in early and mid-childhood. We employed multivariable linear regression to examine associations of individual metals with test scores adjusting for confounders, other concurrently measured metals, and first-trimester maternal blood metals. We also estimated joint associations and explored interaction between metals in mixture analyses. RESULTS We analyzed 349 children (median whole blood Pb ∼1 μg/dL). In cross-sectional analyses, each doubling of Pb was associated with lower visual-motor function (mean difference: -2.43 points, 95% confidence interval (CI): -4.01, -0.86) and receptive vocabulary, i.e., words understood (-1.45 points, 95% CI: -3.26, 0.36). Associations of Pb with mid-childhood cognition were weaker and less precise by comparison. Mg was positively associated with cognition in cross-sectional but not prospective analyses, and cross-sectional associations were attenuated in a sensitivity analysis removing adjustment for concurrent metals. We did not observe joint associations nor interactions. DISCUSSION In this cohort with low blood Pb levels, increased blood Pb was robustly associated with lower cognitive ability in cross-sectional analyses, even after adjustment for prenatal Pb exposure, and regardless of adjustment for metal co-exposures. However, associations with mid-childhood cognition were attenuated and imprecise, suggesting some buffering of Pb neurotoxicity in early life. WHAT THIS STUDY ADDS Relatively few studies have comprehensively separated the effects of neurotoxic metals such as lead (Pb) from pre- and postnatal co-occurring metals, nor examined persistence of associations across childhood. In a cohort of middle-class children, we found higher early childhood (∼3 y) blood Pb was associated with lower scores on cognitive tests, independent of other metals and prenatal blood Pb. However, early childhood Pb was only weakly associated with cognition in mid-childhood (∼8 y). Our results suggest the effects of low-level Pb exposure may attenuate over time in some populations, implying the presence of factors that may buffer Pb neurotoxicity in early life.
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Affiliation(s)
- Ruwan Thilakaratne
- Division of Epidemiology, School of Public Health, University of California, Berkeley, Berkeley, CA, USA
| | - Pi-I D Lin
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Sheryl L Rifas-Shiman
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Julio Landero
- Department of Environmental Medicine and Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, New York City, NY, USA
| | - Robert O Wright
- Department of Environmental Medicine and Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, New York City, NY, USA
| | - David Bellinger
- Departments of Neurology and Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Emily Oken
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Andres Cardenas
- Department of Epidemiology and Population Health, Stanford University, Stanford, CA, USA.
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Burdeau JA, Stephenson BJK, Aris IM, Preston EV, Hivert MF, Oken E, Mahalingaiah S, Chavarro JE, Calafat AM, Rifas-Shiman SL, Zota AR, James-Todd T. First trimester plasma PER- AND Polyfluoroalkyl Substances (PFAS) and blood pressure trajectories across the second and third trimesters of pregnanacy. Environ Int 2024; 186:108628. [PMID: 38583297 DOI: 10.1016/j.envint.2024.108628] [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] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Revised: 03/31/2024] [Accepted: 04/02/2024] [Indexed: 04/09/2024]
Abstract
BACKGROUND Evidence suggests that exposure to per- and polyfluoroalkyl substances (PFAS) increases risk of high blood pressure (BP) during pregnancy. Prior studies did not examine associations with BP trajectory parameters (i.e., overall magnitude and velocity) during pregnancy, which is linked to adverse pregnancy outcomes. OBJECTIVES To estimate associations of multiple plasma PFAS in early pregnancy with BP trajectory parameters across the second and third trimesters. To assess potential effect modification by maternal age and parity. METHODS In 1297 individuals, we quantified six PFAS in plasma collected during early pregnancy (median gestational age: 9.4 weeks). We abstracted from medical records systolic BP (SBP) and diastolic BP (DBP) measurements, recorded from 12 weeks gestation until delivery. BP trajectory parameters were estimated via Super Imposition by Translation and Rotation modeling. Subsequently, Bayesian Kernel Machine Regression (BKMR) was employed to estimate individual and joint associations of PFAS concentrations with trajectory parameters - adjusting for maternal age, race/ethnicity, pre-pregnancy body mass index, income, parity, smoking status, and seafood intake. We evaluated effect modification by age at enrollment and parity. RESULTS We collected a median of 13 BP measurements per participant. In BKMR, higher concentration of perfluorooctane sulfonate (PFOS) was independently associated with higher magnitude of overall SBP and DBP trajectories (i.e., upward shift of trajectories) and faster SBP trajectory velocity, holding all other PFAS at their medians. In stratified BKMR analyses, participants with ≥ 1 live birth had more pronounced positive associations between PFOS and SBP velocity, DBP magnitude, and DBP velocity - compared to nulliparous participants. We did not observe significant associations between concentrations of the overall PFAS mixture and either magnitude or velocity of the BP trajectories. CONCLUSION Early pregnancy plasma PFOS concentrations were associated with altered BP trajectory in pregnancy, which may impact future cardiovascular health of the mother.
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Affiliation(s)
- Jordan A Burdeau
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
| | - Briana J K Stephenson
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
| | - Izzuddin M Aris
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA.
| | - Emma V Preston
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
| | - Marie-France Hivert
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA; Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA.
| | - Emily Oken
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA.
| | - Shruthi Mahalingaiah
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Obstetrics and Gynecology, Division of Reproductive Endocrinology and Infertility, Massachusetts General Hospital, 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.
| | - Antonia M Calafat
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, USA.
| | - Sheryl L Rifas-Shiman
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA.
| | - Ami R Zota
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA.
| | - Tamarra James-Todd
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA.
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Bozack AK, Rifas-Shiman SL, Baccarelli AA, Wright RO, Gold DR, Oken E, Hivert MF, Cardenas A. Associations of prenatal one-carbon metabolism nutrients and metals with epigenetic aging biomarkers at birth and in childhood in a US cohort. Aging (Albany NY) 2024; 16:3107-3136. [PMID: 38412256 PMCID: PMC10929819 DOI: 10.18632/aging.205602] [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: 10/31/2023] [Accepted: 01/29/2024] [Indexed: 02/29/2024]
Abstract
Epigenetic gestational age acceleration (EGAA) at birth and epigenetic age acceleration (EAA) in childhood may be biomarkers of the intrauterine environment. We investigated the extent to which first-trimester folate, B12, 5 essential, and 7 non-essential metals in maternal circulation are associated with EGAA and EAA in early life. Bohlin EGAA and Horvath pan-tissue and skin and blood EAA were calculated using DNA methylation measured in cord blood (N=351) and mid-childhood blood (N=326; median age = 7.7 years) in the Project Viva pre-birth cohort. A one standard deviation increase in individual essential metals (copper, manganese, and zinc) was associated with 0.94-1.2 weeks lower Horvath EAA at birth, and patterns of exposures identified by exploratory factor analysis suggested that a common source of essential metals was associated with Horvath EAA. We also observed evidence nonlinear associations of zinc with Bohlin EGAA, magnesium and lead with Horvath EAA, and cesium with skin and blood EAA at birth. Overall, associations at birth did not persist in mid-childhood; however, arsenic was associated with greater EAA at birth and in childhood. Prenatal metals, including essential metals and arsenic, are associated with epigenetic aging in early life, which might be associated with future health.
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Affiliation(s)
- Anne K. Bozack
- Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Sheryl L. Rifas-Shiman
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA 02215, USA
| | - Andrea A. Baccarelli
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York City, NY 10032, USA
| | - Robert O. Wright
- Department of Environmental Medicine and Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, New York City, NY 10029, USA
| | - Diane R. Gold
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Harvard University, Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Emily Oken
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA 02215, USA
| | - Marie-France Hivert
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA 02215, USA
| | - Andres Cardenas
- Department of Epidemiology and Population Health and Department of Pediatrics, Stanford University School of Medicine, Stanford, CA 94305, USA
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Nichols AR, Rifas-Shiman SL, Switkowski KM, Zhang M, Young JG, Hivert MF, Chavarro JE, Oken E. History of Infertility and Midlife Cardiovascular Health in Female Individuals. JAMA Netw Open 2024; 7:e2350424. [PMID: 38180761 PMCID: PMC10770770 DOI: 10.1001/jamanetworkopen.2023.50424] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Accepted: 11/16/2023] [Indexed: 01/06/2024] Open
Abstract
Importance Fertility status is a marker for future health, and infertility has been associated with risk for later cancer and diabetes, but associations with midlife cardiovascular health (CVH) in female individuals remain understudied. Objective To evaluate the association of infertility history with CVH at midlife (approximately age 50 years) among parous individuals. Design, Setting, and Participants Project Viva is a prospective cohort study of pregnant participants enrolled between 1999 and 2002 who delivered a singleton live birth in the greater Boston, Massachusetts, area. Infertility history was collected at a midlife visit between 2017 and 2021, approximately 18 years after enrollment. Data analysis was performed from January to June 2023. Exposures The primary exposure was any lifetime history of infertility identified by self-report, medical record, diagnosis, or claims for infertility treatment. Main Outcomes and Measures The American Heart Association's Life's Essential 8 (LE8) is a construct for ranking CVH that includes scores from 0 to 100 (higher scores denote better health status) in 4 behavioral (diet, physical activity, sleep, and smoking status) and 4 biomedical (body mass index, blood pressure, blood lipids, and glycemia) domains to form an overall assessment of CVH. Associations of a history of infertility (yes or no) with mean LE8 total, behavioral, biomedical, and blood biomarker (lipids and glycemia) scores were examined, adjusting for age at outcome (midlife visit), race and ethnicity, education, household income, age at menarche, and perceived body size at age 10 years. Results Of 468 included participants (mean [SD] age at the midlife visit, 50.6 [5.3] years) with exposure and outcome data, 160 (34.2%) experienced any infertility. Mean (SD) LE8 scores were 76.3 (12.2) overall, 76.5 (13.4) for the behavioral domain, 76.0 (17.5) for the biomedical domain, and 78.9 (19.2) for the blood biomarkers subdomain. In adjusted models, the estimated overall LE8 score at midlife was 2.94 points lower (95% CI, -5.13 to -0.74 points), the biomedical score was 4.07 points lower (95% CI, -7.33 to -0.78 points), and the blood subdomain score was 5.98 points lower (95% CI, -9.71 to -2.26 points) among those with vs without history of infertility. The point estimate also was lower for the behavioral domain score (β = -1.81; 95% CI, -4.28 to 0.66), although the result was not statistically significant. Conclusions and Relevance This cohort study of parous individuals found evidence for an association between a history of infertility and lower overall and biomedical CVH scores. Future study of enhanced cardiovascular preventive strategies among those who experience infertility is warranted.
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Affiliation(s)
- Amy R. Nichols
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
| | - Sheryl L. Rifas-Shiman
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
| | - Karen M. Switkowski
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
| | - Mingyu Zhang
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
| | - Jessica G. Young
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
| | - Marie-France Hivert
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
- Diabetes Unit, Massachusetts General Hospital, Boston
| | - Jorge E. Chavarro
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
| | - Emily Oken
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
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9
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Rifas-Shiman SL, Aris IM, Switkowski KM, Young J, Fleisch AF, James-Todd T, Zota AR, Perng W, Hivert MF, Rich-Edwards JW, Perez Capotosto M, Chavarro JE, Oken E. Cohort Profile Update: Project Viva mothers. Int J Epidemiol 2023; 52:e332-e339. [PMID: 37875013 PMCID: PMC10749767 DOI: 10.1093/ije/dyad137] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Accepted: 10/16/2023] [Indexed: 10/26/2023] Open
Affiliation(s)
- Sheryl L Rifas-Shiman
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Izzuddin M Aris
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Karen M Switkowski
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Jessica Young
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Abby F Fleisch
- Pediatric Endocrinology and Diabetes, Maine Medical Center, Portland, ME, USA
- Center for Interdisciplinary Population and Health Research, MaineHealth Institute for Research, Portland, ME, USA
| | - Tamarra James-Todd
- Department of Environmental Health, Harvard T H Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard T H Chan School of Public Health, Boston, MA, USA
| | - Ami R Zota
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA
| | - Wei Perng
- Department of Epidemiology and the Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Colorado School of Public Health, University of Colorado, Anschutz Medical Campus, Aurora, CO, USA
| | - Marie-France Hivert
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Janet W Rich-Edwards
- Department of Epidemiology, Harvard T H Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Connors Center for Women’s Health and Gender Biology, Brigham and Women’s Hospital, Boston, MA, USA
| | | | - Jorge E Chavarro
- Department of Epidemiology, Harvard T H Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Department of Nutrition, Harvard T H Chan School of Public Health, Boston, MA, USA
| | - Emily Oken
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
- Department of Nutrition, Harvard T H Chan School of Public Health, Boston, MA, USA
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10
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Oken E, Rifas-Shiman SL, Joffe H, Manson JE, Spagnolo PA, Bertisch SM, Klerman EB, Chavarro JE. Associations of adverse childhood and lifetime experiences with sleep quality and duration among women in midlife. Sleep Health 2023; 9:860-867. [PMID: 37923668 PMCID: PMC10840935 DOI: 10.1016/j.sleh.2023.09.003] [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: 05/03/2023] [Revised: 07/24/2023] [Accepted: 09/09/2023] [Indexed: 11/07/2023]
Abstract
OBJECTIVES Many women experience sleep problems during midlife. Associations of adverse lifetime experiences-more common among women-with sleep outcomes are understudied. METHODS We studied 476 women enrolled in Project Viva 1999-2002. At enrollment, participants reported any lifetime history of abuse and/or financial hardship. At midlife follow-up ∼20 years later, they reported a history of up to 10 adverse childhood experiences (ACEs); 7-day sleep quality (patient-reported outcomes measurement information system sleep disturbance and sleep-related impairment T-scores); and past month average sleep duration. We examined associations of adverse experiences with sleep outcomes, adjusted for childhood sociodemographic variables. We also explored mediation by current depression and anxiety symptoms, hot flash severity, general health, and body mass index. RESULTS ACEs were common: 301 women (63%) reported one or more. Each additional ACE was associated with higher midlife sleep disturbance (adjusted β = 0.65 points, 95% confidence interval [CI]: 0.27, 1.02) and sleep-related impairment (0.98, 95% CI: 0.54, 1.41) T-scores, and with sleep duration <6 hour/night (odds ratio 1.19, 95% CI: 1.00, 1.42), but not with continuous sleep duration (-2 minutes, 95% CI: -5, 1). Adverse experiences in adulthood were less consistently associated with sleep quality but were associated with sleep duration, for example, financial hardship during the index pregnancy was associated with 75 minutes (95% CI: -120, -29) shorter sleep duration 2 decades later. Associations of ACEs with sleep disturbance and sleep-related impairment were mediated by midlife depression anxiety and physical health but not by hot flash severity or body mass index. CONCLUSIONS Adverse lifetime experiences have deleterious associations with sleep duration and quality in midlife women.
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Affiliation(s)
- Emily Oken
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA; Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA.
| | | | - Hadine Joffe
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Connors Center for Women Health and Gender Biology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - JoAnn E Manson
- Connors Center for Women Health and Gender Biology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Primavera Alessandra Spagnolo
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Connors Center for Women Health and Gender Biology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Suzanne M Bertisch
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
| | - Elizabeth B Klerman
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA; Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Jorge E Chavarro
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA
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11
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Smith AR, Thilakaratne R, Lin PID, Rifas-Shiman SL, Hivert MF, Oken E, Cardenas A. Infant Feeding Practices and Metal Concentrations in Children's Blood. JAMA Netw Open 2023; 6:e2348230. [PMID: 38109115 PMCID: PMC10728766 DOI: 10.1001/jamanetworkopen.2023.48230] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Accepted: 11/03/2023] [Indexed: 12/19/2023] Open
Abstract
This cohort study assesses the association between 4 infant feeding practices and concentrations of 8 nonessential and 7 essential metals in red blood cells.
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Affiliation(s)
- Anna R. Smith
- Department of Epidemiology and Population Health, Stanford Medicine, Stanford, California
| | - Ruwan Thilakaratne
- Division of Epidemiology, University of California Berkeley School of Public Health, Berkeley
| | - Pi-I D. Lin
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
| | - Sheryl L. Rifas-Shiman
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
| | - Marie-France Hivert
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
| | - Emily Oken
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
| | - Andres Cardenas
- Department of Epidemiology and Population Health, Stanford Medicine, Stanford, California
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12
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Smith AR, Lin PID, Rifas-Shiman SL, Switkowski KM, Fleisch AF, Wright RO, Coull B, Oken E, Hivert MF, Cardenas A. Associations Between Prenatal Blood Metals and Vitamins and Cord Blood Peptide Hormone Concentrations. Glob Reprod Health 2023; 7:e275. [PMID: 38645676 PMCID: PMC11031200 DOI: 10.1097/ee9.0000000000000275] [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: 04/23/2024]
Abstract
Background Nonessential metals have endocrine disrupting properties, interfere with cellular processes, generate reactive oxygen and deplete antioxidants, while essential metals and vitamins act as antioxidants. The extent to which prenatal metals and vitamins are associated with cord blood hormones involved in maternal and fetal metabolic and growth processes is unknown. Methods We measured six nonessential (arsenic, barium, cadmium, cesium, lead, mercury) and four essential (magnesium, manganese, selenium, zinc) metals and trace elements, and two vitamins (B12 and folate) in first trimester blood from participants in the longitudinal pre-birth Project Viva cohort, who were recruited between 1999-2002 in eastern Massachusetts. We measured adiponectin, C-peptide, IGF-1, IGF-2, IGFBP-3, insulin, and leptin concentrations in cord blood (~n=695). We used covariate-adjusted quantile g-computation for mixtures and linear regression for individual exposures to estimate associations with cord blood peptide hormones. Results The essential metal mixture (magnesium, manganese, selenium, zinc) was associated with higher IGF-1 (β=3.20 ng/ml per quartile, 95% CI: 0.39, 6.01), IGF-2 (β=10.93 ng/ml, 95% CI: 0.08, 21.79), and leptin (β=1.03 ng/ml, 95% CI: 0.25, 1.80). Magnesium was associated with higher leptin (β=2.90 ng/ml, 95% CI: 0.89, 4.91), while B12 was associated with lower adiponectin, IGF-2, and leptin, but higher C-peptide. Other individual nonessential metals were associated with cord blood hormones. Conclusions Our findings suggest that some prenatal metals and vitamins are associated with cord blood hormones, which may influence growth and development.
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Affiliation(s)
- Anna R. Smith
- Department of Epidemiology and Population Health, Stanford Medicine, Stanford, CA 94305, USA
| | - Pi-I D. Lin
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA
| | - Sheryl L. Rifas-Shiman
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA
| | - Karen M. Switkowski
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA
| | - Abby F. Fleisch
- Center for Outcomes Research and Evaluation, Maine Medical Center Research Institute, Portland, ME, USA
- Pediatric Endocrinology and Diabetes, Maine Medical Center, Portland, ME, USA
| | - Robert O. Wright
- Department of Environmental Medicine and Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
| | - Brent Coull
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, USA
| | - Emily Oken
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA
| | - Marie-France Hivert
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA
- Diabetes Unit, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Andres Cardenas
- Department of Epidemiology and Population Health, Stanford Medicine, Stanford, CA 94305, USA
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13
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Zhang M, Rifas-Shiman SL, Aris IM, Fleisch AF, Lin PID, Nichols AR, Oken E, Hivert MF. Associations of Prenatal Per- and Polyfluoroalkyl Substance (PFAS) Exposures with Offspring Adiposity and Body Composition at 16-20 Years of Age: Project Viva. Environ Health Perspect 2023; 131:127002. [PMID: 38054701 PMCID: PMC10699168 DOI: 10.1289/ehp12597] [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] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Revised: 09/14/2023] [Accepted: 10/24/2023] [Indexed: 12/07/2023]
Abstract
BACKGROUND Findings on the associations between prenatal PFAS exposures and offspring adiposity are inconsistent. Whether such associations may extend to adolescence is especially understudied. OBJECTIVES We investigated associations of prenatal PFAS exposures with offspring adiposity and body composition at 16-20 years of age. METHODS We studied 545 mother-child pairs in the prospective prebirth cohort Project Viva (Boston, Massachusetts). We measured six PFAS (PFOA, PFOS, PFNA, PFHxS, EtFOSAA, and MeFOSAA) in maternal early pregnancy (median age = 9.6 wk , range: 5.7-19.6 wk) plasma samples. At the late adolescence visit (median age = 17.4 y, range: 15.9-20.0 y), we obtained anthropometric measures and assessed body composition using bioelectrical impedance analysis and dual-energy X-ray absorptiometry. We examined associations of individual PFAS with obesity [i.e., age- and sex-specific body mass index (BMI) ≥ 95 th percentile] and adiposity and body composition using multivariable Poisson and linear regression models, respectively. We assessed PFAS mixture effects using Bayesian kernel machine regression (BKMR) and quantile g-computation. We used fractional-polynomial models to assess BMI trajectories (at 3-20 years of age) by prenatal PFAS levels. RESULTS Thirteen percent (n = 73 ) of the children had obesity in late adolescence. After multivariable adjustment, higher prenatal PFAS concentrations were associated with higher obesity risk [e.g., 1.59 (95% CI: 1.19, 2.12), 1.24 (95% CI: 0.98, 1.57), and 1.49 (95% CI: 1.11, 1.99) times the obesity risk per doubling of PFOS, PFOA, and PFNA, respectively]. BKMR showed an interaction between PFOA and PFOS, where the positive association between PFOS and obesity was stronger when PFOA levels were lower. Each quartile increment of the PFAS mixture was associated with 1.52 (95% CI: 1.03, 2.25) times the obesity risk and 0.52 (95% CI: - 0.02 , 1.06) kg / m 2 higher BMI. Children with higher prenatal PFOS, EtFOSAA, and MeFOSAA concentrations had higher rates of BMI increase starting from 9-11 years of age. DISCUSSION Prenatal PFAS exposures may have obesogenic effects into late adolescence. https://doi.org/10.1289/EHP12597.
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Affiliation(s)
- Mingyu Zhang
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Sheryl L. Rifas-Shiman
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA
| | - Izzuddin M. Aris
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA
| | - Abby F. Fleisch
- Center for Interdisciplinary Population Health Research, MaineHealth Institute for Research, Portland, Maine, USA
- Pediatric Endocrinology and Diabetes, Maine Medical Center, Portland, Maine, USA
| | - Pi-I Debby Lin
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA
| | - Amy R. Nichols
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Emily Oken
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Marie-France Hivert
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA
- Diabetes Unit, Massachusetts General Hospital, Boston, Massachusetts, USA
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14
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Ong YY, Rifas-Shiman SL, Perng W, Belfort MB, Law E, Hivert MF, Oken E, Tiemeier H, Aris IM. Growth Velocities Across Distinct Early Life Windows and Child Cognition: Insights from a Contemporary US Cohort. J Pediatr 2023; 263:113653. [PMID: 37541424 PMCID: PMC10837309 DOI: 10.1016/j.jpeds.2023.113653] [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: 05/17/2023] [Revised: 07/06/2023] [Accepted: 07/27/2023] [Indexed: 08/06/2023]
Abstract
OBJECTIVE To evaluate the relative importance of overall and period-specific postnatal growth and their interaction with fetal growth on cognition in a generally well-nourished population. STUDY DESIGN We included 1052 children from Project Viva, a prospective cohort in Boston, Massachusetts. Using linear spline mixed-effects models, we modeled length/height and body mass index (BMI) trajectories from birth to 7 years and estimated standardized overall (0-7 years) and period-specific growth velocities ie, early infancy (0-4 months), late infancy (4-15 months), toddlerhood (15-37 months), and early childhood (37-84 months). We investigated associations of growth velocities as well as their interactions with birthweight-for-gestational age on mid-childhood (mean age: 7.9 years) IQ, visual memory and learning, and visual motor ability. RESULTS Greater overall height velocity was associated with modestly higher design memory score, (adjusted β [95% CI] 0.19 [-0.01,0.38] P = .057])points per SD increase but lower verbal IQ (-0.88 [-1.76,0.00] P = .051). Greater early infancy height velocity was associated with higher visual motor score (1.92 [0.67,3.18]). Greater overall BMI velocity was associated with lower verbal IQ (-0.71 [-1.52,0.11] P = .090). Greater late infancy BMI velocity was associated with lower verbal IQ (-1.21 [-2.07,-0.34]), design memory score (-0.22 [-0.42,-0.03)], but higher picture memory score (0.22 [0.01,0.43]). Greater early infancy height velocity (-1.5 SD vs 1.5 SD) was associated with higher nonverbal IQ (margins [95% CI] 102.6 [98.9106.3] vs 108.2 [104.9111.6]) among small-for-gestational age infants (P-interaction = 0.04). CONCLUSIONS Among generally well-nourished children, there might not be clear cognitive gains with faster linear growth except for those with lower birthweight-for-gestational age, revealing the potential importance of early infancy compensatory growth.
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Affiliation(s)
- Yi Ying Ong
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA; Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
| | - Sheryl L Rifas-Shiman
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA
| | - Wei Perng
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO; Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - Mandy B Belfort
- Department of Pediatric Newborn Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Evelyn Law
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore
| | - Marie-France Hivert
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA; Diabetes Unit, Massachusetts General Hospital, Boston, MA
| | - Emily Oken
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA
| | - Henning Tiemeier
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Izzuddin M Aris
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA
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15
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Capotosto MP, Corcoran E, Burgess AW, Rifas-Shiman SL, Chavarro JE, Oken E. Anxiety and depression symptoms during pregnancy and postpartum among parous women with history of infertility. Fertil Steril 2023; 120:1252-1254. [PMID: 37673317 PMCID: PMC10924443 DOI: 10.1016/j.fertnstert.2023.08.970] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Revised: 08/24/2023] [Accepted: 08/28/2023] [Indexed: 09/08/2023]
Affiliation(s)
| | - Erin Corcoran
- William F. Connell School of Nursing, Boston College, Chestnut Hill, Massachusetts
| | - Ann Wolbert Burgess
- William F. Connell School of Nursing, Boston College, Chestnut Hill, Massachusetts
| | - Sheryl L Rifas-Shiman
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
| | - Jorge E Chavarro
- Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, Massachusetts; Department of Nutrition, Harvard TH Chan School of Public Health, Boston, Massachusetts
| | - Emily Oken
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts; Department of Nutrition, Harvard TH Chan School of Public Health, Boston, Massachusetts
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16
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Shanahan KH, James P, Rifas-Shiman SL, Gold DR, Oken E, Aris IM. Neighborhood Conditions and Resources in Mid-Childhood and Dampness and Pests at Home in Adolescence. J Pediatr 2023; 262:113625. [PMID: 37463640 PMCID: PMC10789911 DOI: 10.1016/j.jpeds.2023.113625] [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: 11/01/2022] [Revised: 06/05/2023] [Accepted: 07/11/2023] [Indexed: 07/20/2023]
Abstract
OBJECTIVE To examine prospectively associations of neighborhood opportunity with the presence of dampness or pests in the home environment during early adolescence. STUDY DESIGN We geocoded residential addresses from 831 children (mean age 7.9 years, 2007-2011) in the Project Viva cohort. We linked each address with census tract-level Child Opportunity Index scores, which capture neighborhood conditions and resources influencing child heath including educational, health, environmental, and socioeconomic factors. Our primary outcome was presence of dampness or pests in the home in early adolescence (mean age 13.2 years, 2013-2016). Secondary outcomes included current asthma and lung function testing results. Mixed-effects regression models estimated longitudinal associations of Child Opportunity Index scores with outcomes, adjusting for individual and family sociodemographics. RESULTS Children residing in neighborhoods with greater overall opportunity were less likely to live in homes with dampness or pests approximately 5 years later (aOR 0.85 per 20-unit increase in Child Opportunity Index percentile rank, 95% CI 0.73-0.998). We observed no significant associations in adjusted models of overall neighborhood opportunity with current asthma or lung function. Lower school poverty or single-parent households and greater access to healthy food or economic resource index were associated with lower odds of a home environment with dampness or pests. CONCLUSIONS More favorable neighborhood conditions in mid-childhood were associated with lower likelihood of living in a home with dampness or pests in the early adolescence.
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Affiliation(s)
- Kristen H Shanahan
- Department of Emergency Medicine, Massachusetts General Hospital, Boston, MA; Division of Emergency Medicine, Boston Children's Hospital, Boston, MA; Departments of Pediatrics and Emergency Medicine, Harvard Medical School, Boston, MA.
| | - Peter James
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School, Harvard University and Harvard Pilgrim Health Care Institute, Boston, MA; Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Sheryl L Rifas-Shiman
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School, Harvard University and Harvard Pilgrim Health Care Institute, Boston, MA
| | - Diane R Gold
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA; Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA; Department of Medicine, Harvard Medical School, Boston, MA
| | - Emily Oken
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School, Harvard University and Harvard Pilgrim Health Care Institute, Boston, MA; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Izzuddin M Aris
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School, Harvard University and Harvard Pilgrim Health Care Institute, Boston, MA
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17
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Cohen NJ, Defina S, Rifas-Shiman SL, Faleschini S, Kirby RS, Chen H, Wilson R, Fryer K, Marroun HE, Cecil CAM, Hivert MF, Oken E, Tiemeier H, Alman AC. Associations of prenatal maternal depressive symptoms with cord blood glucocorticoids and child hair cortisol levels in the project viva and the generation R cohorts: a prospective cohort study. BMC Pediatr 2023; 23:540. [PMID: 37898740 PMCID: PMC10612353 DOI: 10.1186/s12887-023-04372-9] [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: 03/30/2023] [Accepted: 10/18/2023] [Indexed: 10/30/2023] Open
Abstract
BACKGROUND Prior studies have reported conflicting results regarding the association of prenatal maternal depression with offspring cortisol levels. We examined associations of high levels of prenatal depressive symptoms with child cortisol biomarkers. METHODS In Project Viva (n = 925, Massachusetts USA), mothers reported their depressive symptoms using the Edinburgh Postnatal Depression Scale (EPDS) during pregnancy, cord blood glucocorticoids were measured at delivery, and child hair cortisol levels were measured in mid-childhood (mean (SD) age: 7.8 (0.8) years) and early adolescence (mean (SD) age: 13.2 (0.9) years). In the Generation R Study (n = 1644, Rotterdam, The Netherlands), mothers reported depressive symptoms using the Brief Symptom Inventory (BSI) during pregnancy, and child hair cortisol was measured at a mean (SD) age of 6.0 (0.5) years. We used cutoffs of ≥ 13 for the EPDS and > 0.75 for the BSI to indicate high levels of prenatal depressive symptoms. We used multivariable linear regression models adjusted for child sex and age (at outcome), and maternal pre-pregnancy BMI, education, social support from friends/family, pregnancy smoking status, marital status, and household income to assess associations separately in each cohort. We also meta-analyzed childhood hair cortisol results from both cohorts. RESULTS 8.0% and 5.1% of women respectively experienced high levels of prenatal depressive symptoms in Project Viva and the Generation R Study. We found no associations between high levels of maternal depressive symptoms during pregnancy and child cortisol biomarkers in either cohort. CONCLUSIONS The present study does not find support for the direct link between high levels of maternal depressive symptoms and offspring cortisol levels.
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Affiliation(s)
- Nathan J Cohen
- College of Public Health, University of South Florida, Tampa, FL, USA.
| | - Serena Defina
- Department of Child and Adolescent Psychiatry, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Sheryl L Rifas-Shiman
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Sabrina Faleschini
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Russell S Kirby
- College of Public Health, University of South Florida, Tampa, FL, USA
| | - Henian Chen
- College of Public Health, University of South Florida, Tampa, FL, USA
| | - Ronee Wilson
- College of Public Health, University of South Florida, Tampa, FL, USA
| | - Kimberly Fryer
- Department of Obstetrics and Gynecology, Morsani College of Medicine, University of South Florida, Tampa, FL, USA
| | - Hanan El Marroun
- Department of Child and Adolescent Psychiatry, Erasmus Medical Center, Rotterdam, The Netherlands
- Department of Pediatrics, Erasmus Medical Center, Rotterdam, The Netherlands
- Department of Psychology, Education, and Child Studies, Erasmus School of Social and Behavioral Sciences, Rotterdam, The Netherlands
| | - Charlotte A M Cecil
- Department of Child and Adolescent Psychiatry, Erasmus Medical Center, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
| | - Marie-France Hivert
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA, USA
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Emily Oken
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Henning Tiemeier
- Department of Child and Adolescent Psychiatry, Erasmus Medical Center, Rotterdam, The Netherlands
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Amy C Alman
- College of Public Health, University of South Florida, Tampa, FL, USA
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Rokoff LB, Wallenborn JT, Harris MH, Rifas-Shiman SL, Criswell R, Romano ME, Young JG, Calafat AM, Oken E, Sagiv SK, Fleisch AF. Plasma concentrations of per- and polyfluoroalkyl substances in pregnancy and breastfeeding duration in Project Viva. Sci Total Environ 2023; 891:164724. [PMID: 37290653 PMCID: PMC10327962 DOI: 10.1016/j.scitotenv.2023.164724] [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] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 06/05/2023] [Accepted: 06/05/2023] [Indexed: 06/10/2023]
Abstract
BACKGROUND Per- and polyfluoroalkyl substances (PFAS) may disrupt mammary gland development and function; thereby inhibiting milk supply and breastfeeding duration. However, conclusions on the potential effects of PFAS and breastfeeding duration are limited by prior epidemiologic studies that inconsistently adjusted for past cumulative breastfeeding duration and by a lack of examination of the joint effects of PFAS mixtures. METHODS In Project Viva, a longitudinal cohort that enrolled pregnant participants from 1999 to 2002 in the greater Boston, MA area, we studied 1079 women who ever attempted to lactate. We investigated associations of plasma concentrations of select PFAS in early pregnancy (mean: 10.1 weeks gestation) with breastfeeding termination by 9 months, after which women typically cite self-weaning as the reason for terminating breastfeeding. We used Cox regression for single-PFAS models and quantile g-computation for mixture models, adjusting for sociodemographics, prior breastfeeding duration, and weeks of gestation at the time of blood draw. RESULTS We detected 6 PFAS [perfluorooctane sulfonate; perfluorooctanoate (PFOA); perfluorohexane sulfonate; perfluorononanoate; 2-(N-ethyl-perfluorooctane sulfonamido) acetate (EtFOSAA); 2-(N-methyl-perfluorooctane sulfonamide) acetate (MeFOSAA)] in >98 % of samples. Sixty percent of lactating women terminated breastfeeding by 9 months postpartum. Women with higher plasma concentrations of PFOA, EtFOSAA, and MeFOSAA had a greater hazard of terminating breastfeeding in the first 9 months postpartum [HR (95 % CI) per doubling concentration: 1.20 (1.04, 1.38) for PFOA; 1.10 (1.01, 1.20) for EtFOSAA; 1.18 (1.08, 1.30) for MeFOSAA]. In the quantile g-computation model, simultaneously increasing all PFAS in the mixture by one quartile was associated with 1.17 (95 % CI: 1.05, 1.31) greater hazard of terminating breastfeeding in the first 9 months. CONCLUSION Our findings suggest that exposure to PFAS may be associated with reduced breastfeeding duration and draw further attention to environmental chemicals that may dysregulate human lactation.
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Affiliation(s)
- Lisa B Rokoff
- Center for Interdisciplinary Population & Health Research, MaineHealth Institute for Research, Portland, ME, USA.
| | - Jordyn T Wallenborn
- Center of Excellence in Maternal, Child, and Adolescent Health, School of Public Health, University of California at Berkeley, Berkeley, CA, USA; Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Maria H Harris
- Center for Environmental Research and Children's Health, School of Public Health, University of California at Berkeley, Berkeley, CA, USA
| | - Sheryl L Rifas-Shiman
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Rachel Criswell
- Skowhegan Family Medicine, Redington-Fairview General Hospital, Skowhegan, ME, USA
| | - Megan E Romano
- Department of Epidemiology, The Geisel School of Medicine at Dartmouth, Lebanon, NH, USA
| | - Jessica G Young
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Antonia M Calafat
- National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Emily Oken
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Sharon K Sagiv
- Center for Environmental Research and Children's Health, School of Public Health, University of California at Berkeley, Berkeley, CA, USA
| | - Abby F Fleisch
- Center for Interdisciplinary Population & Health Research, MaineHealth Institute for Research, Portland, ME, USA; Pediatric Endocrinology and Diabetes, Maine Medical Center, Portland, ME, USA
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19
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Kadalayil L, Alam MZ, White CH, Ghantous A, Walton E, Gruzieva O, Merid SK, Kumar A, Roy RP, Solomon O, Huen K, Eskenazi B, Rzehak P, Grote V, Langhendries JP, Verduci E, Ferre N, Gruszfeld D, Gao L, Guan W, Zeng X, Schisterman EF, Dou JF, Bakulski KM, Feinberg JI, Soomro MH, Pesce G, Baiz N, Isaevska E, Plusquin M, Vafeiadi M, Roumeliotaki T, Langie SAS, Standaert A, Allard C, Perron P, Bouchard L, van Meel ER, Felix JF, Jaddoe VWV, Yousefi PD, Ramlau-Hansen CH, Relton CL, Tobi EW, Starling AP, Yang IV, Llambrich M, Santorelli G, Lepeule J, Salas LA, Bustamante M, Ewart SL, Zhang H, Karmaus W, Röder S, Zenclussen AC, Jin J, Nystad W, Page CM, Magnus M, Jima DD, Hoyo C, Maguire RL, Kvist T, Czamara D, Räikkönen K, Gong T, Ullemar V, Rifas-Shiman SL, Oken E, Almqvist C, Karlsson R, Lahti J, Murphy SK, Håberg SE, London S, Herberth G, Arshad H, Sunyer J, Grazuleviciene R, Dabelea D, Steegers-Theunissen RPM, Nohr EA, Sørensen TIA, Duijts L, Hivert MF, Nelen V, Popovic M, Kogevinas M, Nawrot TS, Herceg Z, Annesi-Maesano I, Fallin MD, Yeung E, Breton CV, Koletzko B, Holland N, Wiemels JL, Melén E, Sharp GC, Silver MJ, Rezwan FI, Holloway JW. Analysis of DNA methylation at birth and in childhood reveals changes associated with season of birth and latitude. Clin Epigenetics 2023; 15:148. [PMID: 37697338 PMCID: PMC10496224 DOI: 10.1186/s13148-023-01542-5] [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: 02/13/2023] [Accepted: 07/27/2023] [Indexed: 09/13/2023] Open
Abstract
BACKGROUND Seasonal variations in environmental exposures at birth or during gestation are associated with numerous adult traits and health outcomes later in life. Whether DNA methylation (DNAm) plays a role in the molecular mechanisms underlying the associations between birth season and lifelong phenotypes remains unclear. METHODS We carried out epigenome-wide meta-analyses within the Pregnancy And Childhood Epigenetic Consortium to identify associations of DNAm with birth season, both at differentially methylated probes (DMPs) and regions (DMRs). Associations were examined at two time points: at birth (21 cohorts, N = 9358) and in children aged 1-11 years (12 cohorts, N = 3610). We conducted meta-analyses to assess the impact of latitude on birth season-specific associations at both time points. RESULTS We identified associations between birth season and DNAm (False Discovery Rate-adjusted p values < 0.05) at two CpGs at birth (winter-born) and four in the childhood (summer-born) analyses when compared to children born in autumn. Furthermore, we identified twenty-six differentially methylated regions (DMR) at birth (winter-born: 8, spring-born: 15, summer-born: 3) and thirty-two in childhood (winter-born: 12, spring and summer: 10 each) meta-analyses with few overlapping DMRs between the birth seasons or the two time points. The DMRs were associated with genes of known functions in tumorigenesis, psychiatric/neurological disorders, inflammation, or immunity, amongst others. Latitude-stratified meta-analyses [higher (≥ 50°N), lower (< 50°N, northern hemisphere only)] revealed differences in associations between birth season and DNAm by birth latitude. DMR analysis implicated genes with previously reported links to schizophrenia (LAX1), skin disorders (PSORS1C, LTB4R), and airway inflammation including asthma (LTB4R), present only at birth in the higher latitudes (≥ 50°N). CONCLUSIONS In this large epigenome-wide meta-analysis study, we provide evidence for (i) associations between DNAm and season of birth that are unique for the seasons of the year (temporal effect) and (ii) latitude-dependent variations in the seasonal associations (spatial effect). DNAm could play a role in the molecular mechanisms underlying the effect of birth season on adult health outcomes.
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Affiliation(s)
- Latha Kadalayil
- Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
- Human Development and Health, Faculty of Medicine, University of Southampton, Southampton General Hospital, Southampton, UK
| | - Md Zahangir Alam
- Human Development and Health, Faculty of Medicine, University of Southampton, Southampton General Hospital, Southampton, UK
- Department of Computer Science and Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh
| | - Cory Haley White
- Merck Exploratory Science Center in Cambridge MA, Merck Research Laboratories, Cambridge, MA, 02141, USA
| | - Akram Ghantous
- Epigenomics and Mechanisms Branch, International Agency for Research on Cancer, Lyon, France
| | - Esther Walton
- Department of Psychology, University of Bath, Bath, UK
| | - Olena Gruzieva
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Centre for Occupational and Environmental Medicine, Region Stockholm, Sweden
| | - Simon Kebede Merid
- Centre for Occupational and Environmental Medicine, Region Stockholm, Sweden
| | - Ashish Kumar
- Department of Clinical Science and Education, Södersjukhuset, Karolinska Institutet, Stockholm, Sweden
| | - Ritu P Roy
- Helen Diller Family Comprehensive Cancer Center University of California, San Francisco, CA, 94143, USA
- Computational Biology and Informatics Core, University of California, San Francisco, CA, 94143, USA
| | - Olivia Solomon
- Children's Environmental Health Laboratory, University of California, Berkeley, CA, USA
| | - Karen Huen
- Children's Environmental Health Laboratory, University of California, Berkeley, CA, USA
| | - Brenda Eskenazi
- Children's Environmental Health Laboratory, University of California, Berkeley, CA, USA
| | - Peter Rzehak
- Division of Metabolic and Nutritional Medicine, Dr. von Hauner Children's Hospital, Ludwig-Maximilians Universität München (LMU), Munich, Germany
| | - Veit Grote
- Division of Metabolic and Nutritional Medicine, Dr. von Hauner Children's Hospital, Ludwig-Maximilians Universität München (LMU), Munich, Germany
| | | | - Elvira Verduci
- Department of Pediatrics, Vittore Buzzi Children Hospital, University of Milan, Milan, Italy
| | - Natalia Ferre
- Pediatric Nutrition and Human Development Research Unit, Universitat Rovira i Virgili, IISPV, Reus, Spain
| | - Darek Gruszfeld
- Neonatal Department, Children's Memorial Health Institute, Warsaw, Poland
| | - Lu Gao
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA, USA
| | - Weihua Guan
- Division of Biostatistics, School of Public Health, University of Minnesota, A460 Mayo Building, MMC 303, 420 Delaware St. SE, Minneapolis, MN, 55455, USA
| | | | - Enrique F Schisterman
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, 423 Guardian Drive, Philadelphia, PA, 19104, USA
| | - John F Dou
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, USA
| | - Kelly M Bakulski
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, USA
| | - Jason I Feinberg
- Wendy Klag Center for Autism and Developmental Disabilities Johns Hopkins University, Baltimore, MD, USA
- Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Munawar Hussain Soomro
- Sorbonne Université and INSERM, Epidemiology of Allergic and Respiratory Diseases Department, Pierre Louis Institute of Epidemiology and Public Health (IPLESP UMRS 1136), Saint-Antoine Medical School, Paris Cedex 12, France
- Department of Community Medicine and Public Health, SMBB Medical University, Larkana, Pakistan
| | - Giancarlo Pesce
- Sorbonne Université and INSERM, Epidemiology of Allergic and Respiratory Diseases Department, Pierre Louis Institute of Epidemiology and Public Health (IPLESP UMRS 1136), Saint-Antoine Medical School, Paris Cedex 12, France
| | - Nour Baiz
- Institut Desbrest de Santé Publique (IDESP), INSERM and Montpellier University, Montpellier, France
| | - Elena Isaevska
- Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin, CPO Piemonte, Italy
| | - Michelle Plusquin
- Center for Environmental Sciences, University of Hasselt, 3590, Diepenbeek, Belgium
| | - Marina Vafeiadi
- Department of Social Medicine, School of Medicine, University of Crete, Heraklion, Greece
| | - Theano Roumeliotaki
- Department of Social Medicine, School of Medicine, University of Crete, Heraklion, Greece
| | - Sabine A S Langie
- Unit Health, Flemish Institute for Technological Research (VITO), Mol, Belgium
- Faculty of Sciences, Hasselt University, Diepenbeek, Belgium
- Department of Pharmacology and Toxicology, School for Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University, Limburg, The Netherlands
| | - Arnout Standaert
- Unit Health, Flemish Institute for Technological Research (VITO), Mol, Belgium
| | - Catherine Allard
- Centre de Recherche du Centre Hospitalier de l'Universite de Sherbrooke, Sherbrooke, Canada
| | - Patrice Perron
- Department of Medicine, Universite de Sherbrooke, Sherbrooke, Canada
| | - Luigi Bouchard
- Department of Biochemistry and Functional Genomics, Universite de Sherbrooke, Sherbrooke, Canada
- Clinical Department of Laboratory Medicine, Centre intégré universitaire de santé et de services sociaux (CIUSSS) du Saguenay-Lac-Saint-Jean - Hôpital de Chicoutimi, Chicoutimi, Canada
| | - Evelien R van Meel
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Division of Respiratory Medicine and Allergology, Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Janine F Felix
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Vincent W V Jaddoe
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Paul D Yousefi
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, UK
| | | | - Caroline L Relton
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, UK
| | - Elmar W Tobi
- Periconceptional Epidemiology, Department of Obstetrics and Gynecology, Erasmus MC, University Medical Center, PO Box 2040, 3000 CA, Rotterdam, The Netherlands
| | - Anne P Starling
- Life Course Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Ivana V Yang
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Division of Biomedical Informatics and Personalized Medicine, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Center for Genes, Environment and Health, National Jewish Health, Denver, CO, USA
| | - Maria Llambrich
- Institute for Global Health (ISGlobal), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | | | - Johanna Lepeule
- Institute for Advanced Biosciences, University Grenoble-Alpes, INSERM, CNRS, Grenoble, France
| | - Lucas A Salas
- Institute for Global Health (ISGlobal), Barcelona, Spain
- Department of Epidemiology, Geisel School of Medicine, Dartmouth College, Lebanon, NH, USA
- Center for Molecular Epidemiology, Geisel School of Medicine, Dartmouth College, Lebanon, NH, USA
- Children's Environmental Health and Disease Prevention Research Center at Dartmouth, Lebanon, NH, USA
| | - Mariona Bustamante
- Institute for Global Health (ISGlobal), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Susan L Ewart
- Department of Large Animal Clinical Sciences, College of Veterinary Medicine, Michigan State University, East Lansing, MI, USA
| | - Hongmei Zhang
- Division of Epidemiology, Biostatistics, and Environmental Health, School of Public Health, University of Memphis, Memphis, USA
| | - Wilfried Karmaus
- Division of Epidemiology, Biostatistics, and Environmental Health, School of Public Health, University of Memphis, Memphis, USA
| | - Stefan Röder
- Department of Environmental Immunology, Helmholtz Centre for Environmental Research - UFZ, Leipzig, Germany
| | - Ana Claudia Zenclussen
- Department of Environmental Immunology, Helmholtz Centre for Environmental Research - UFZ, Leipzig, Germany
| | - Jianping Jin
- 2530 Meridian Pkwy, Suite 200, Durham, NC 27713, USA
| | - Wenche Nystad
- Department of Chronic Diseases and Ageing, Norwegian Institute of Public Health, Oslo, Norway
| | - Christian M Page
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
- Section for Statistics and Data Science, Department of Mathematics, Faculty of Mathematics and Natural Sciences, University of Oslo, Oslo, Norway
| | - Maria Magnus
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Dereje D Jima
- Center for Human Health and the Environment, North Carolina State University, Raleigh, NC, USA
- Bioinformatics Research Center, North Carolina State University, Raleigh, NC, USA
| | - Cathrine Hoyo
- Center for Human Health and the Environment, North Carolina State University, Raleigh, NC, USA
- Department of Biological Sciences, North Carolina State University, Raleigh, NC, USA
| | - Rachel L Maguire
- Department of Biological Sciences, North Carolina State University, Raleigh, NC, USA
- Department of Obstetrics and Gynaecology, Duke University Medical Center, Durham, NC, USA
| | - Tuomas Kvist
- Department of Psychology and Logopedics, University of Helsinki, Helsinki, Finland
| | - Darina Czamara
- Department of Translational Research in Psychiatry, Max-Planck-Institute of Psychiatry, 80804, Munich, Germany
| | - Katri Räikkönen
- Department of Psychology and Logopedics, University of Helsinki, Helsinki, Finland
| | - Tong Gong
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Vilhelmina Ullemar
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Sheryl L Rifas-Shiman
- Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, USA
| | - Emily Oken
- Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, USA
| | - Catarina Almqvist
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Pediatric Allergy and Pulmonology Unit at Astrid Lindgren Children's Hospital, Karolinska University Hospital, Stockholm, Sweden
| | - Robert Karlsson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Jari Lahti
- Department of Psychology and Logopedics, University of Helsinki, Helsinki, Finland
| | - Susan K Murphy
- Department of Obstetrics and Gynaecology, Duke University Medical Center, Durham, NC, USA
| | - Siri E Håberg
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Stephanie London
- Department of Health and Human Services, National Institute of Environmental Health Sciences, National Institutes of Health, RTP, NC, 27709, USA
| | - Gunda Herberth
- Department of Environmental Immunology, Helmholtz Centre for Environmental Research - UFZ, Leipzig, Germany
| | - Hasan Arshad
- Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
- David Hide Asthma and Allergy Research Centre, Isle of Wight, UK
- NIHR Southampton Biomedical Research Centre, Southampton General Hospital, Southampton, UK
| | - Jordi Sunyer
- Institute for Global Health (ISGlobal), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Regina Grazuleviciene
- Department of Environmental Science, Vytautas Magnus University, 44248, Kaunas, Lithuania
| | - Dana Dabelea
- Life Course Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Department of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Régine P M Steegers-Theunissen
- Periconceptional Epidemiology, Department of Obstetrics and Gynecology, Erasmus MC, University Medical Center, PO Box 2040, 3000 CA, Rotterdam, The Netherlands
| | - Ellen A Nohr
- Department of Clinical Research, Odense Universitetshospital, Odense, Denmark
| | - Thorkild I A Sørensen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Liesbeth Duijts
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Division of Respiratory Medicine and Allergology, Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Division of Neonatology, Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Marie-France Hivert
- Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, USA
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Vera Nelen
- Provincial Institute for Hygiene, Antwerp, Belgium
| | - Maja Popovic
- Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin, CPO Piemonte, Italy
| | | | - Tim S Nawrot
- Center for Environmental Sciences, University of Hasselt, 3590, Diepenbeek, Belgium
- Department of Public Health and Primary Care, Leuven University, Louvain, Belgium
| | - Zdenko Herceg
- Epigenomics and Mechanisms Branch, International Agency for Research on Cancer, Lyon, France
| | - Isabella Annesi-Maesano
- Institut Desbrest de Santé Publique (IDESP), INSERM and Montpellier University, Montpellier, France
| | - M Daniele Fallin
- Wendy Klag Center for Autism and Developmental Disabilities Johns Hopkins University, Baltimore, MD, USA
- Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Edwina Yeung
- Epidemiology Branch, Division of Population Health Research, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, 6710B Rockledge Dr, MSC 7004, Bethesda, MD, USA
| | - Carrie V Breton
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA, USA
| | - Berthold Koletzko
- Division of Metabolic and Nutritional Medicine, Dr. von Hauner Children's Hospital, Ludwig-Maximilians Universität München (LMU), Munich, Germany
| | - Nina Holland
- Children's Environmental Health Laboratory, CERCH, Berkeley Public Health, University of California, 2121 Berkeley Way #5216, Berkeley, CA, 94720, USA
| | - Joseph L Wiemels
- Center for Genetic Epidemiology, University of Southern California, Los Angeles, CA, 90033, USA
- Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, 90033, USA
| | - Erik Melén
- Department of Clinical Science and Education, Södersjukhuset, Karolinska Institutet, Stockholm, Sweden
- Sachs' Children and Youth Hospital, Södersjukhuset, Stockholm, Sweden
| | - Gemma C Sharp
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- School of Psychology, University of Exeter, Exeter, UK
| | - Matt J Silver
- Medical Research Council Unit, The Gambia at the London School of Hygiene and Tropical Medicine, Fajara, The Gambia
- Medical Research Council Unit, The Gambia at the London School of Hygiene and Tropical Medicine, London, UK
| | - Faisal I Rezwan
- Human Development and Health, Faculty of Medicine, University of Southampton, Southampton General Hospital, Southampton, UK
- Department of Computer Science, Aberystwyth University, Aberystwyth, Ceredigion, UK
| | - John W Holloway
- Human Development and Health, Faculty of Medicine, University of Southampton, Southampton General Hospital, Southampton, UK.
- NIHR Southampton Biomedical Research Centre, Southampton General Hospital, Southampton, UK.
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Fitz VW, Soria-Contreras DC, Rifas-Shiman SL, Shifren JL, Oken E, Chavarro JE. Exploring the relationship between history of infertility and the experience of menopausal symptoms. Menopause 2023; 30:913-919. [PMID: 37527458 PMCID: PMC10527707 DOI: 10.1097/gme.0000000000002229] [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] [Indexed: 08/03/2023]
Abstract
OBJECTIVE The aim of the study is to examine longitudinal associations of history of infertility with menopausal symptoms in midlife. METHODS Six hundred ninety-five midlife women (≥45 y old or reporting ≥12 mo of amenorrhea at the midlife visit) in Project Viva, a prospective cohort enrolled 1999-2002 during pregnancy and followed for 18 years after enrollment ("midlife visit"). Exposure was history of infertility defined as time to pregnancy ≥12 months (≥6 mo if ≥35 y), use of medical treatment to conceive, or infertility consultation or treatment in the 6-month preceding enrollment. The primary outcome was score below or above the median on the Menopause Rating Scale (MRS). Secondary outcomes included individual symptom score on the MRS and self-reported age of menopause. RESULTS A total of 36.6% had a history of infertility in their lifetime. At the time of MRS completion, the women with prior infertility were older (53.4 [SD, 3.8] vs 51.2 [SD, 3.7] y) than those without infertility and a larger proportion had reached menopause (62% vs 40%). Women with prior infertility were more likely to score above the median on the MRS (Adjusted Odds Ratio [aOR], 1.45; 95% confidence interval [CI], 1.04-2.01) and had higher odds for reporting any depressive mood (aOR, 1.56; 95% CI, 1.12-2.16) and irritability (aOR, 1.57; 95% CI, 1.13-2.19). There was a trend toward greater severity of sleep problems among women with prior infertility. There was no association of prior infertility with report of other menopausal symptoms or age of menopause. CONCLUSIONS Our findings suggest that women with prior infertility are more likely to have an MRS score above the median and experience depressive mood, irritability, and sleep problems during midlife than women without infertility. These findings have implications for mental health screening among midlife women.
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Affiliation(s)
| | | | - Sheryl L Rifas-Shiman
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston MA
| | | | - Emily Oken
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston MA
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Soria-Contreras DC, Aris IM, Rifas-Shiman SL, Perng W, Hivert MF, Chavarro JE, Oken E. Associations of age at first birth and lifetime parity with weight and adiposity across midlife in women from Project Viva. Obesity (Silver Spring) 2023; 31:2407-2416. [PMID: 37485799 PMCID: PMC10524615 DOI: 10.1002/oby.23831] [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: 12/12/2022] [Revised: 05/05/2023] [Accepted: 05/08/2023] [Indexed: 07/25/2023]
Abstract
OBJECTIVE This study aimed to evaluate the associations of age at first birth and parity with weight, waist circumference (WC), and body fat across midlife. METHODS A secondary data analysis was conducted with 735 participants from Project Viva who reported their age at first birth and lifetime parity at a midlife study visit. Weight, WC, and body fat were measured up to four times after the participants' final birth, and associations were examined using linear mixed-effects regression models. RESULTS Participants' mean (SD) age was 32.6 (4.9) years at enrollment and 30.4 (5.5) years at their first birth, and they had 2.4 (0.9) lifetime births. In adjusted models, women who had their first birth at age <23 or ≥40 years, versus age 30 to 34 years, had a higher trajectory of weight, WC, and body fat after their final birth (i.e., mean differences in weight 8.38 kg [95% CI: 4.13-12.63] for age <23 years and 6.54 kg [95% CI: 0.64-12.45] for age ≥40 years). Women with four or more births, versus two, had a higher trajectory of adiposity after accounting for covariates. CONCLUSIONS Women who have a first birth before age 23 years or after age 40 years and those with multiple births may benefit from more intensive monitoring for excess adiposity gain.
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Affiliation(s)
- Diana C. Soria-Contreras
- Department of Nutrition, Harvard T.H. Chan School of Public Health, 665 Huntington Ave, Boston, MA 02115, USA
| | - Izzuddin M. Aris
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School, and Harvard Pilgrim Health Care Institute, Landmark Center, 401 Park Drive, Suite 401 East, Boston, MA 02215, USA
| | - Sheryl L. Rifas-Shiman
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School, and Harvard Pilgrim Health Care Institute, Landmark Center, 401 Park Drive, Suite 401 East, Boston, MA 02215, USA
| | - Wei Perng
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, 13001 E. 17th Place, Aurora, CO 80045, USA
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, 12474 East 19 Ave, Aurora, CO 80045, USA
| | - Marie-France Hivert
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School, and Harvard Pilgrim Health Care Institute, Landmark Center, 401 Park Drive, Suite 401 East, Boston, MA 02215, USA
- Diabetes Unit, Massachusetts General Hospital, 50 Staniford Street, Boston, MA 02114
| | - Jorge E. Chavarro
- Department of Nutrition, Harvard T.H. Chan School of Public Health, 665 Huntington Ave, Boston, MA 02115, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, 75 Francis St, Boston, MA 02115, USA
| | - Emily Oken
- Department of Nutrition, Harvard T.H. Chan School of Public Health, 665 Huntington Ave, Boston, MA 02115, USA
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School, and Harvard Pilgrim Health Care Institute, Landmark Center, 401 Park Drive, Suite 401 East, Boston, MA 02215, USA
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22
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Thilakaratne R, Lin PID, Rifas-Shiman SL, Wright RO, Hubbard A, Hivert MF, Bellinger D, Oken E, Cardenas A. Mixtures of Metals and Micronutrients in Early Pregnancy and Cognition in Early and Mid-Childhood: Findings from the Project Viva Cohort. Environ Health Perspect 2023; 131:87008. [PMID: 37585348 PMCID: PMC10431487 DOI: 10.1289/ehp12016] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Revised: 07/20/2023] [Accepted: 07/21/2023] [Indexed: 08/18/2023]
Abstract
BACKGROUND The developing fetal brain is sensitive to many environmental exposures. However, the independent and joint effects of prenatal exposure to metals and micronutrients on child cognition are not well understood. OBJECTIVES Our aim was to evaluate associations of first-trimester (∼ 10 wk) maternal erythrocyte concentrations of mixtures of nonessential and essential metals and micronutrients with early (∼ 3 y) and mid-childhood (∼ 8 y) cognitive test scores in Project Viva, a prebirth cohort in Boston, Massachusetts, USA. METHODS We measured concentrations of five essential metals (Cu, Mg, Mn, Se, Zn) and two micronutrients (vitamin B12 and folate), together termed the "nutrient mixture," as well as six nonessential metals (As, Ba, Cd, Cs, Hg, Pb), together termed the "neurotoxic mixture," in first-trimester (∼ 10 wk) maternal erythrocytes (metals) or plasma (micronutrients). We assessed visual-motor function and receptive vocabulary in early childhood (∼ 3 y), and visual-motor function, visual memory, and fluid and crystallized intelligence in mid-childhood (∼ 8 y). We employed adjusted quantile g-computation and linear regression to estimate mixture and individual component associations, respectively. RESULTS Analyses included 900 mother-child pairs (74% college graduates; 52% male children). In mixture analyses, a quartile increase in the nutrient mixture was associated with a mean difference in early childhood receptive vocabulary score of 1.58 points [95% confidence interval (CI): 0.06, 3.10], driven by Zn and Se. A quartile increase in the neurotoxic mixture was associated with a mean difference in mid-childhood visual-motor score of - 3.01 points (95% CI: - 5.55 , - 0.47 ), driven by Ba and Cs. Linear regressions supported quantile g-computation findings for mixture component contributions. DISCUSSION Maternal circulating concentrations of several essential (Zn and Se) and nonessential (Ba and Cs) metals were associated with some domains of child cognition. In this folate-replete cohort, first-trimester circulating concentrations of known neurotoxic metals, such as Pb, were not associated with child cognition. https://doi.org/10.1289/EHP12016.
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Affiliation(s)
- Ruwan Thilakaratne
- Division of Epidemiology, School of Public Health, University of California, Berkeley, Berkeley, California, USA
| | - Pi-I D Lin
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA
| | - Sheryl L Rifas-Shiman
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA
| | - Robert O Wright
- Department of Environmental Medicine and Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
| | - Alan Hubbard
- Division of Biostatistics, School of Public Health, University of California, Berkeley, Berkeley, California, USA
| | | | - David Bellinger
- Departments of Neurology and Psychiatry, Harvard Medical School, Boston, Massachusetts, USA
| | - Emily Oken
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA
| | - Andres Cardenas
- Department of Epidemiology and Population Health, Stanford University, Stanford, California, USA
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23
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Solé-Navais P, Flatley C, Steinthorsdottir V, Vaudel M, Juodakis J, Chen J, Laisk T, LaBella AL, Westergaard D, Bacelis J, Brumpton B, Skotte L, Borges MC, Helgeland Ø, Mahajan A, Wielscher M, Lin F, Briggs C, Wang CA, Moen GH, Beaumont RN, Bradfield JP, Abraham A, Thorleifsson G, Gabrielsen ME, Ostrowski SR, Modzelewska D, Nohr EA, Hypponen E, Srivastava A, Talbot O, Allard C, Williams SM, Menon R, Shields BM, Sveinbjornsson G, Xu H, Melbye M, Lowe W, Bouchard L, Oken E, Pedersen OB, Gudbjartsson DF, Erikstrup C, Sørensen E, Lie RT, Teramo K, Hallman M, Juliusdottir T, Hakonarson H, Ullum H, Hattersley AT, Sletner L, Merialdi M, Rifas-Shiman SL, Steingrimsdottir T, Scholtens D, Power C, West J, Nyegaard M, Capra JA, Skogholt AH, Magnus P, Andreassen OA, Thorsteinsdottir U, Grant SFA, Qvigstad E, Pennell CE, Hivert MF, Hayes GM, Jarvelin MR, McCarthy MI, Lawlor DA, Nielsen HS, Mägi R, Rokas A, Hveem K, Stefansson K, Feenstra B, Njolstad P, Muglia LJ, Freathy RM, Johansson S, Zhang G, Jacobsson B. Author Correction: Genetic effects on the timing of parturition and links to fetal birth weight. Nat Genet 2023; 55:1250. [PMID: 37165137 PMCID: PMC10335921 DOI: 10.1038/s41588-023-01412-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/12/2023]
Affiliation(s)
- Pol Solé-Navais
- Department of Obstetrics and Gynaecology, Sahlgrenska Academy, Institute of Clinical Science, University of Gothenburg, Gothenburg, Sweden.
| | - Christopher Flatley
- Department of Obstetrics and Gynaecology, Sahlgrenska Academy, Institute of Clinical Science, University of Gothenburg, Gothenburg, Sweden
| | | | - Marc Vaudel
- Center for Diabetes Research, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Julius Juodakis
- Department of Obstetrics and Gynaecology, Sahlgrenska Academy, Institute of Clinical Science, University of Gothenburg, Gothenburg, Sweden
| | - Jing Chen
- Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Triin Laisk
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Abigail L LaBella
- Department of Biological Sciences, Vanderbilt University, Nashville, TN, USA
| | - David Westergaard
- Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark
- Department of Obstetrics and Gynaecology, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark
- Methods and Analysis, Statistics Denmark, Copenhagen, Denmark
| | - Jonas Bacelis
- Department of Obstetrics and Gynaecology, Sahlgrenska Academy, Institute of Clinical Science, University of Gothenburg, Gothenburg, Sweden
| | - Ben Brumpton
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway
| | - Line Skotte
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark
| | - Maria C Borges
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Øyvind Helgeland
- Center for Diabetes Research, Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Genetics and Bioinformatics, Health Data and Digitalization, Norwegian Institute of Public Health, Oslo, Norway
| | - Anubha Mahajan
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
- Genentech, South San Francisco, CA, USA
| | - Matthias Wielscher
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
- Department of Dermatology, Medical University of Vienna, Vienna, Austria
| | - Frederick Lin
- Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Catherine Briggs
- Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Carol A Wang
- School of Medicine and Public Health, College of Health, Medicine and Wellbeing, The University of Newcastle, Callaghan, New South Wales, Australia
- Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
| | - Gunn-Helen Moen
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
- University of Queensland Diamantina Institute, University of Queensland, Woolloongabba, Australia
| | - Robin N Beaumont
- Institute of Biomedical and Clinical Science, College of Medicine and Health, University of Exeter, Exeter, UK
| | | | - Abin Abraham
- Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | | | - Maiken E Gabrielsen
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway
| | - Sisse R Ostrowski
- Department of Clinical Immunology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Dominika Modzelewska
- Department of Obstetrics and Gynaecology, Sahlgrenska Academy, Institute of Clinical Science, University of Gothenburg, Gothenburg, Sweden
| | - Ellen A Nohr
- Research Unit of Gynecology and Obstetrics, Institute of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Elina Hypponen
- Australian Centre for Precision Health, Uni Clinical & Health Sciences, University of South Australia, Adelaide, Australia
- South Australian Health and Medical Research Institute, Adelaide, Australia
| | - Amit Srivastava
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
- Division of Human Genetics, Center for the Prevention of Preterm Birth, Perinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Octavious Talbot
- Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Catherine Allard
- Centre de recherche du Centre hospitalier universitaire de Sherbrooke (CHUS), Sherbrooke, Québec, Canada
| | - Scott M Williams
- Department of Population and Quantitative Health Sciences, School of Medicine, Case Western Reserve University, Cleveland, OH, USA
| | - Ramkumar Menon
- Department of Obstetrics and Gynaecology, University of Texas Medical Branch, Galveston, TX, USA
| | - Beverley M Shields
- Institute of Biomedical and Clinical Science, College of Medicine and Health, University of Exeter, Exeter, UK
| | | | - Huan Xu
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
- Division of Human Genetics, Center for the Prevention of Preterm Birth, Perinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Mads Melbye
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - William Lowe
- Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Luigi Bouchard
- Department of Biochemistry and Functional Genomics, Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, Québec, Canada
- Clinical Department of Laboratory Medicine, Centre intégré universitaire de santé et de services sociaux (CIUSSS) du Saguenay-Lac-St-Jean - Hôpital Universitaire de Chicoutimi, Saguenay, Québec, Canada
| | - Emily Oken
- Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Ole B Pedersen
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- Department of Clinical Immunology, Zealand University Hospital, Køge, Denmark
| | - Daniel F Gudbjartsson
- deCODE genetics/Amgen, Reykjavik, Iceland
- School of Engineering and Natural Sciences, University of Iceland, Reykjavik, Iceland
| | - Christian Erikstrup
- Department of Clinical Immunology, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Faculty of Health, University of Aarhus, Aarhus, Denmark
| | - Erik Sørensen
- Department of Clinical Immunology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
| | - Rolv T Lie
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
- Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
| | - Kari Teramo
- Department of Obstetrics and Gynecology, Helsinki University Central Hospital, Helsinki, Finland
- University of Helsinki, Helsinki, Finland
| | - Mikko Hallman
- PEDEGO Research Unit and Medical Research Center Oulu, University of Oulu, Oulu, Finland
- Department of Children and Adolescents, Oulu University Hospital, Oulu, Finland
| | | | - Hakon Hakonarson
- The Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Pediatrics, The Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Division of Human Genetics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Division of Pulmonary Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | | | - Andrew T Hattersley
- Institute of Biomedical and Clinical Science, College of Medicine and Health, University of Exeter, Exeter, UK
| | - Line Sletner
- Department of Pediatric and Adolescents Medicine, Akershus University Hospital, Lørenskog, Norway
| | - Mario Merialdi
- Maternal Newborn Health Innovations, PBC, Geneva, Switzerland
| | - Sheryl L Rifas-Shiman
- Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Thora Steingrimsdottir
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
- Department of Obstetrics and Gynecology, Landspitali - The National University Hospital of Iceland, Reykjavik, Iceland
| | - Denise Scholtens
- Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Christine Power
- Population, Policy, Practice. Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Jane West
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Mette Nyegaard
- Department of Health Science and Technology, Aalborg University, Aalborg, Denmark
| | - John A Capra
- Bakar Computational Health Sciences Institute and Department of Epidemiology and Statistics, University of California San Francisco, San Francisco, CA, USA
| | - Anne H Skogholt
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway
| | - Per Magnus
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Ole A Andreassen
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
- NORMENT Centre, University of Oslo, Oslo, Norway
- Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Unnur Thorsteinsdottir
- deCODE genetics/Amgen, Reykjavik, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Struan F A Grant
- Department of Pediatrics, The Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Center for Spatial and Functional Genomics Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Divisions of Human Genetics and Endocrinology and Diabetes, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Genetics, The Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Elisabeth Qvigstad
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
- Department of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, Norway
| | - Craig E Pennell
- School of Medicine and Public Health, College of Health, Medicine and Wellbeing, The University of Newcastle, Callaghan, New South Wales, Australia
- Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
| | - Marie-France Hivert
- Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA, USA
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Geoffrey M Hayes
- Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Marjo-Riitta Jarvelin
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
- Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland
- Biocenter of Oulu, University of Oulu, Linnanmaa, Oulu, Finland
- Department of Life Sciences, College of Health and Life Sciences, Brunel University London, Uxbridge, UK
| | - Mark I McCarthy
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
- Genentech, South San Francisco, CA, USA
| | - Deborah A Lawlor
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- NIHR Bristol Biomedical Research Centre, Bristol, UK
| | - Henriette S Nielsen
- Department of Obstetrics and Gynaecology, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- The Recurrent Pregnancy Loss Unit, The Capital Region, Copenhagen University Hospitals Rigshospitalet & Hvidovre Hospital, Hvidovre, Denmark
| | - Reedik Mägi
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Antonis Rokas
- Department of Biological Sciences, Vanderbilt University, Nashville, TN, USA
- Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN, USA
- Vanderbilt Genetics Institute, Vanderbilt University, Nashville, TN, USA
| | - Kristian Hveem
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway
- HUNT Research Centre, Department of Public Health and Nursing, Norwegian University of Science and Technology, Levanger, Norway
- Department of Medicine, Levanger Hospital, Nord-Trøndelag Hospital Trust, Levanger, Norway
| | - Kari Stefansson
- deCODE genetics/Amgen, Reykjavik, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Bjarke Feenstra
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark
| | - Pål Njolstad
- Center for Diabetes Research, Department of Clinical Science, University of Bergen, Bergen, Norway
- Children and Youth Clinic, Haukeland University Hospital, Bergen, Norway
| | - Louis J Muglia
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
- Division of Human Genetics, Center for the Prevention of Preterm Birth, Perinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Rachel M Freathy
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Institute of Biomedical and Clinical Science, College of Medicine and Health, University of Exeter, Exeter, UK
| | - Stefan Johansson
- Center for Diabetes Research, Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Medical Genetics, Haukeland University Hospital, Bergen, Norway
| | - Ge Zhang
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
- Division of Human Genetics, Center for the Prevention of Preterm Birth, Perinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Bo Jacobsson
- Department of Obstetrics and Gynaecology, Sahlgrenska Academy, Institute of Clinical Science, University of Gothenburg, Gothenburg, Sweden.
- Department of Genetics and Bioinformatics, Health Data and Digitalization, Norwegian Institute of Public Health, Oslo, Norway.
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24
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Rokoff LB, Seshasayee SM, Carwile JL, Rifas-Shiman SL, Botelho JC, Gordon CM, Hauser R, James-Todd T, Young JG, Rosen CJ, Calafat AM, Oken E, Fleisch AF. Associations of urinary metabolite concentrations of phthalates and phthalate replacements with body composition from mid-childhood to early adolescence. Environ Res 2023; 226:115629. [PMID: 36889566 PMCID: PMC10101932 DOI: 10.1016/j.envres.2023.115629] [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] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Revised: 03/02/2023] [Accepted: 03/04/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND Phthalates may adversely influence body composition by lowering anabolic hormones and activating peroxisome-proliferator activated receptor gamma. However, data are limited in adolescence when body mass distributions rapidly change and bone accrual peaks. Also, potential health effects of certain phthalate/replacements [e.g., di-2-ethylhexyl terephthalate (DEHTP)] have not been well studied. METHODS Among 579 children in the Project Viva cohort, we used linear regression to evaluate associations of urinary concentrations of 19 phthalate/replacement metabolites from mid-childhood (median: 7.6 years; 2007-2010) with annualized change in areal bone mineral density (aBMD) and lean, total fat, and truncal fat mass as measured by dual-energy X-ray absorptiometry between mid-childhood and early adolescence (median: 12.8 years). We used quantile g-computation to assess associations of the overall chemical mixture with body composition. We adjusted for sociodemographics and tested for sex-specific associations. RESULTS Urinary concentrations were highest for mono-2-ethyl-5-carboxypentyl phthalate [median (IQR): 46.7 (69.1) ng/mL]. We detected metabolites of most replacement phthalates in a relatively small number of participants [e.g., 28% for mono-2-ethyl-5-hydrohexyl terephthalate (MEHHTP; metabolite of DEHTP)]. Detectable (vs. non-detectable) MEHHTP was associated with less bone and greater fat accrual in males and greater bone and lean mass accrual in females [e.g., change in aBMD Z-score/year (95% CI): -0.049 (-0.085, -0.013) in males versus 0.042 (0.007, 0.076) in females; pinteraction<0.01]. Children with higher concentrations of mono-oxo-isononyl phthalate and mono-3-carboxypropyl phthalate (MCPP) had greater bone accrual. Males with higher concentrations of MCPP and mono-carboxynonyl phthalate had greater accrual of lean mass. Other phthalate/replacement biomarkers, and their mixtures, were not associated with longitudinal changes in body composition. CONCLUSIONS Concentrations of select phthalate/replacement metabolites in mid-childhood were associated with changes in body composition through early adolescence. As use of phthalate replacements such as DEHTP may be increasing, further investigation can help better understand the potential effects of early-life exposures.
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Affiliation(s)
- Lisa B Rokoff
- Center for Interdisciplinary Population & Health Research, MaineHealth Institute for Research, Portland, ME, USA.
| | - Shravanthi M Seshasayee
- Center for Interdisciplinary Population & Health Research, MaineHealth Institute for Research, Portland, ME, USA
| | - Jenny L Carwile
- Center for Interdisciplinary Population & Health Research, MaineHealth Institute for Research, Portland, ME, USA
| | - Sheryl L Rifas-Shiman
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Julianne Cook Botelho
- National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Catherine M Gordon
- USDA/ARS Children's Nutrition Research Center, Baylor College of Medicine, Houston, TX, USA
| | - Russ Hauser
- Department of Environmental Health and Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Tamarra James-Todd
- Department of Environmental Health and Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Jessica G Young
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Clifford J Rosen
- Center for Clinical and Translational Science, MaineHealth Institute for Research, Scarborough, ME, USA
| | - Antonia M Calafat
- National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Emily Oken
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Abby F Fleisch
- Center for Interdisciplinary Population & Health Research, MaineHealth Institute for Research, Portland, ME, USA; Pediatric Endocrinology and Diabetes, Maine Medical Center, Portland, ME, USA
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25
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Zhang Y, Mustieles V, Sun Q, Coull B, McElrath T, Rifas-Shiman SL, Martin L, Sun Y, Wang YX, Oken E, Cardenas A, Messerlian C. Association of Early Pregnancy Perfluoroalkyl and Polyfluoroalkyl Substance Exposure With Birth Outcomes. JAMA Netw Open 2023; 6:e2314934. [PMID: 37256622 PMCID: PMC10233420 DOI: 10.1001/jamanetworkopen.2023.14934] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [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: 01/05/2023] [Accepted: 04/10/2023] [Indexed: 06/01/2023] Open
Abstract
Importance Prenatal perfluoroalkyl and polyfluoroalkyl substances (PFAS) have been linked to adverse birth outcomes. Previous research showed that higher folate concentrations are associated with lower blood PFAS concentrations in adolescents and adults. Further studies are needed to explore whether prenatal folate status mitigates PFAS-related adverse birth outcomes. Objective To examine whether prenatal folate status modifies the negative associations between pregnancy PFAS concentrations, birth weight, and gestational age previously observed in a US cohort. Design, Setting, and Participants In a prospective design, a prebirth cohort of mothers or pregnant women was recruited between April 1999 and November 2002, in Project Viva, a study conducted in eastern Massachusetts. Statistical analyses were performed from May 24 and October 25, 2022. Exposure Plasma concentrations of 6 PFAS compounds were measured in early pregnancy (median gestational week, 9.6). Folate status was assessed through a food frequency questionnaire and measured in plasma samples collected in early pregnancy. Main Outcomes and Measures Birth weight and gestational age, abstracted from delivery records; birth weight z score, standardized by gestational age and infant sex; low birth weight, defined as birth weight less than 2500 g; and preterm birth, defined as birth at less than 37 completed gestational weeks. Results The cohort included a total of 1400 mother-singleton pairs. The mean (SD) age of the mothers was 32.21 (4.89) years. Most of the mothers were White (73.2%) and had a college degree or higher (69.1%). Early pregnancy plasma perfluorooctanoic acid concentration was associated with lower birth weight and birth weight z score only among mothers whose dietary folate intake (birth weight: β, -89.13 g; 95% CI, -166.84 to -11.42 g; birth weight z score: -0.13; 95% CI, -0.26 to -0.003) or plasma folate concentration (birth weight: -87.03 g; 95% CI, -180.11 to 6.05 g; birth weight z score: -0.14; 95% CI, -0.30 to 0.02) were below the 25th percentile (dietary: 660 μg/d, plasma: 14 ng/mL). No associations were found among mothers in the higher folate level groups, although the tests for heterogeneity did not reject the null. Associations between plasma perfluorooctane sulfonic acid and perfluorononanoate (PFNA) concentrations and lower birth weight, and between PFNA and earlier gestational age were noted only among mothers whose prenatal dietary folate intake or plasma folate concentration was in the lowest quartile range. No associations were found among mothers in higher folate status quartile groups. Conclusions and Relevance In this large, US prebirth cohort, early pregnancy exposure to select PFAS compounds was associated with adverse birth outcomes only among mothers below the 25th percentile of prenatal dietary or plasma folate levels.
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Affiliation(s)
- Yu Zhang
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
| | - Vicente Mustieles
- University of Granada, Center for Biomedical Research, Instituto de Investigación Biosanitaria Ibs, Consortium for Biomedical Research in Epidemiology and Public Health Grenada, Spain
| | - Qi Sun
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
| | - Brent Coull
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
| | - Thomas McElrath
- Harvard Medical School, Boston, Massachusetts
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
- Department of Obstetrics and Gynecology, Brigham and Women's Hospital, Boston, Massachusetts
| | - Sheryl L. Rifas-Shiman
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
| | - Leah Martin
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
| | - Yang Sun
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
| | - Yi-Xin Wang
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
| | - Emily Oken
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
| | - Andres Cardenas
- Department of Epidemiology and Population Health, Stanford University, Stanford, California
| | - Carmen Messerlian
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
- Department of Obstetrics and Gynecology, Vincent Center for Reproductive Biology, Massachusetts General Hospital Fertility Center, Boston
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26
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Nassikas NJ, Rifas-Shiman SL, Luttmann-Gibson H, Chen K, Blossom JC, Oken E, Gold DR, Rice MB. Precipitation and Adolescent Respiratory Health in the Northeast United States. Ann Am Thorac Soc 2023; 20:698-704. [PMID: 36749585 PMCID: PMC10174124 DOI: 10.1513/annalsats.202209-805oc] [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: 09/20/2022] [Accepted: 02/06/2023] [Indexed: 02/08/2023] Open
Abstract
Rationale: With more frequent and intense precipitation events across the globe due to a changing climate, there is a need to understand the relationship between precipitation and respiratory health. Precipitation may trigger asthma exacerbations, but little is known about how precipitation affects lung function and airway inflammation in early adolescents. Objectives: To determine if short-term precipitation exposure is associated with lung function and airway inflammation in early adolescents and if ever having a diagnosis of asthma modifies associations of precipitation with lung function and airway inflammation. Methods: In a prospective prebirth cohort, Project Viva, that included 1,019 early adolescents born in the northeastern United States, we evaluated associations of 1-, 2-, 3-, and 7-day moving averages of precipitation in the preceding week and forced expiratory volume in 1 second, forced vital capacity, and fractional exhaled nitric oxide (FeNO) using linear regression. We used log-transformed FeNO with effect estimates presented as percentage change. We adjusted for maternal education and household income at enrollment; any smoking in the home in early adolescence; child sex, race/ethnicity, and ever asthma diagnosis; and age, height, weight, date, and season (as sine and cosine functions of visit date) at the early adolescent visit and moving averages for mean daily temperature (same time window as exposure). Results: In fully adjusted linear models, 3- and 7-day moving averages for precipitation were positively associated with FeNO but not lung function. Every 2-mm increase in the 7-day moving average for precipitation was associated with a 4.0% (95% confidence interval, 1.1, 6.9) higher FeNO. There was evidence of effect modification by asthma status: Precipitation was associated with lower forced vital capacity and higher FeNO among adolescents with asthma. We also found that outdoor aeroallergen sensitization (immunoglobulin E against common ragweed, oak, ryegrass, or silver birch) modified associations of precipitation with FeNO, with higher FeNO in sensitized adolescents compared with nonsensitized adolescents. The associations of precipitation with FeNO were not explained by relative humidity or air pollution exposure. Conclusions: We found that greater short-term precipitation may trigger airway inflammation in adolescents, particularly among those with asthma.
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Affiliation(s)
- Nicholas J. Nassikas
- Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - Sheryl L. Rifas-Shiman
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
| | - Heike Luttmann-Gibson
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
| | - Kelly Chen
- Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - Jeffrey C. Blossom
- Center for Geographic Analysis, Harvard University, Cambridge, Massachusetts; and
| | - Emily Oken
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
| | - Diane R. Gold
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Mary B. Rice
- Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts
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27
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Bozack AK, Rifas-Shiman SL, Gold DR, Laubach ZM, Perng W, Hivert MF, Cardenas A. DNA methylation age at birth and childhood: performance of epigenetic clocks and characteristics associated with epigenetic age acceleration in the Project Viva cohort. Clin Epigenetics 2023; 15:62. [PMID: 37046280 PMCID: PMC10099681 DOI: 10.1186/s13148-023-01480-2] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [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: 12/07/2022] [Accepted: 04/05/2023] [Indexed: 04/14/2023] Open
Abstract
BACKGROUND Epigenetic age acceleration (EAA) and epigenetic gestational age acceleration (EGAA) are biomarkers of physiological development and may be affected by the perinatal environment. The aim of this study was to evaluate performance of epigenetic clocks and to identify biological and sociodemographic correlates of EGAA and EAA at birth and in childhood. In the Project Viva pre-birth cohort, DNA methylation was measured in nucleated cells in cord blood (leukocytes and nucleated red blood cells, N = 485) and leukocytes in early (N = 120, median age = 3.2 years) and mid-childhood (N = 460, median age = 7.7 years). We calculated epigenetic gestational age (EGA; Bohlin and Knight clocks) and epigenetic age (EA; Horvath and skin & blood clocks), and respective measures of EGAA and EAA. We evaluated the performance of clocks relative to chronological age using correlations and median absolute error. We tested for associations of maternal-child characteristics with EGAA and EAA using mutually adjusted linear models controlling for estimated cell type proportions. We also tested associations of Horvath EA at birth with childhood EAA. RESULTS Bohlin EGA was strongly correlated with chronological gestational age (Bohlin EGA r = 0.82, p < 0.001). Horvath and skin & blood EA were weakly correlated with gestational age, but moderately correlated with chronological age in childhood (r = 0.45-0.65). Maternal smoking during pregnancy was associated with higher skin & blood EAA at birth [B (95% CI) = 1.17 weeks (- 0.09, 2.42)] and in early childhood [0.34 years (0.03, 0.64)]. Female newborns and children had lower Bohlin EGAA [- 0.17 weeks (- 0.30, - 0.04)] and Horvath EAA at birth [B (95% CI) = - 2.88 weeks (- 4.41, - 1.35)] and in childhood [early childhood: - 0.3 years (- 0.60, 0.01); mid-childhood: - 0.48 years (- 0.77, - 0.18)] than males. When comparing self-reported Asian, Black, Hispanic, and more than one race or other racial/ethnic groups to White, we identified significant differences in EGAA and EAA at birth and in mid-childhood, but associations varied across clocks. Horvath EA at birth was positively associated with childhood Horvath and skin & blood EAA. CONCLUSIONS Maternal smoking during pregnancy and child sex were associated with EGAA and EAA at multiple timepoints. Further research may provide insight into the relationship between perinatal factors, pediatric epigenetic aging, and health and development across the lifespan.
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Affiliation(s)
- Anne K Bozack
- Department of Epidemiology and Population Health, Stanford University, Research Park, 1701 Page Mill Road, Stanford, CA, USA
| | - Sheryl L Rifas-Shiman
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Diane R Gold
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Harvard Medical School and Brigham and Women's Hospital, Boston, MA, USA
| | - Zachary M Laubach
- Department of Ecology and Evolutionary Biology (EEB), University of Colorado Boulder, Boulder, CO, USA
| | - Wei Perng
- Department of Epidemiology, Colorado School of Public Health and Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Marie-France Hivert
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Andres Cardenas
- Department of Epidemiology and Population Health, Stanford University, Research Park, 1701 Page Mill Road, Stanford, CA, USA.
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28
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Solé-Navais P, Flatley C, Steinthorsdottir V, Vaudel M, Juodakis J, Chen J, Laisk T, LaBella AL, Westergaard D, Bacelis J, Brumpton B, Skotte L, Borges MC, Helgeland Ø, Mahajan A, Wielscher M, Lin F, Briggs C, Wang CA, Moen GH, Beaumont RN, Bradfield JP, Abraham A, Thorleifsson G, Gabrielsen ME, Ostrowski SR, Modzelewska D, Nohr EA, Hypponen E, Srivastava A, Talbot O, Allard C, Williams SM, Menon R, Shields BM, Sveinbjornsson G, Xu H, Melbye M, Lowe W, Bouchard L, Oken E, Pedersen OB, Gudbjartsson DF, Erikstrup C, Sørensen E, Lie RT, Teramo K, Hallman M, Juliusdottir T, Hakonarson H, Ullum H, Hattersley AT, Sletner L, Merialdi M, Rifas-Shiman SL, Steingrimsdottir T, Scholtens D, Power C, West J, Nyegaard M, Capra JA, Skogholt AH, Magnus P, Andreassen OA, Thorsteinsdottir U, Grant SFA, Qvigstad E, Pennell CE, Hivert MF, Hayes GM, Jarvelin MR, McCarthy MI, Lawlor DA, Nielsen HS, Mägi R, Rokas A, Hveem K, Stefansson K, Feenstra B, Njolstad P, Muglia LJ, Freathy RM, Johansson S, Zhang G, Jacobsson B. Genetic effects on the timing of parturition and links to fetal birth weight. Nat Genet 2023; 55:559-567. [PMID: 37012456 PMCID: PMC10101852 DOI: 10.1038/s41588-023-01343-9] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [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: 05/04/2022] [Accepted: 02/22/2023] [Indexed: 04/05/2023]
Abstract
The timing of parturition is crucial for neonatal survival and infant health. Yet, its genetic basis remains largely unresolved. We present a maternal genome-wide meta-analysis of gestational duration (n = 195,555), identifying 22 associated loci (24 independent variants) and an enrichment in genes differentially expressed during labor. A meta-analysis of preterm delivery (18,797 cases, 260,246 controls) revealed six associated loci and large genetic similarities with gestational duration. Analysis of the parental transmitted and nontransmitted alleles (n = 136,833) shows that 15 of the gestational duration genetic variants act through the maternal genome, whereas 7 act both through the maternal and fetal genomes and 2 act only via the fetal genome. Finally, the maternal effects on gestational duration show signs of antagonistic pleiotropy with the fetal effects on birth weight: maternal alleles that increase gestational duration have negative fetal effects on birth weight. The present study provides insights into the genetic effects on the timing of parturition and the complex maternal-fetal relationship between gestational duration and birth weight.
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Affiliation(s)
- Pol Solé-Navais
- Department of Obstetrics and Gynaecology, Sahlgrenska Academy, Institute of Clinical Science, University of Gothenburg, Gothenburg, Sweden.
| | - Christopher Flatley
- Department of Obstetrics and Gynaecology, Sahlgrenska Academy, Institute of Clinical Science, University of Gothenburg, Gothenburg, Sweden
| | | | - Marc Vaudel
- Center for Diabetes Research, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Julius Juodakis
- Department of Obstetrics and Gynaecology, Sahlgrenska Academy, Institute of Clinical Science, University of Gothenburg, Gothenburg, Sweden
| | - Jing Chen
- Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Triin Laisk
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Abigail L LaBella
- Department of Biological Sciences, Vanderbilt University, Nashville, TN, USA
| | - David Westergaard
- Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark
- Department of Obstetrics and Gynaecology, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark
- Methods and Analysis, Statistics Denmark, Copenhagen, Denmark
| | - Jonas Bacelis
- Department of Obstetrics and Gynaecology, Sahlgrenska Academy, Institute of Clinical Science, University of Gothenburg, Gothenburg, Sweden
| | - Ben Brumpton
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway
| | - Line Skotte
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark
| | - Maria C Borges
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Øyvind Helgeland
- Center for Diabetes Research, Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Genetics and Bioinformatics, Health Data and Digitalization, Norwegian Institute of Public Health, Oslo, Norway
| | - Anubha Mahajan
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
- Genentech, South San Francisco, CA, USA
| | - Matthias Wielscher
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
- Department of Dermatology, Medical University of Vienna, Vienna, Austria
| | - Frederick Lin
- Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Catherine Briggs
- Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Carol A Wang
- School of Medicine and Public Health, College of Health, Medicine and Wellbeing, The University of Newcastle, Callaghan, New South Wales, Australia
- Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
| | - Gunn-Helen Moen
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
- University of Queensland Diamantina Institute, University of Queensland, Woolloongabba, Australia
| | - Robin N Beaumont
- Institute of Biomedical and Clinical Science, College of Medicine and Health, University of Exeter, Exeter, UK
| | | | - Abin Abraham
- Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | | | - Maiken E Gabrielsen
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway
| | - Sisse R Ostrowski
- Department of Clinical Immunology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Dominika Modzelewska
- Department of Obstetrics and Gynaecology, Sahlgrenska Academy, Institute of Clinical Science, University of Gothenburg, Gothenburg, Sweden
| | - Ellen A Nohr
- Research Unit of Gynecology and Obstetrics, Institute of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Elina Hypponen
- Australian Centre for Precision Health, Uni Clinical & Health Sciences, University of South Australia, Adelaide, Australia
- South Australian Health and Medical Research Institute, Adelaide, Australia
| | - Amit Srivastava
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
- Division of Human Genetics, Center for the Prevention of Preterm Birth, Perinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Octavious Talbot
- Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Catherine Allard
- Centre de recherche du Centre hospitalier universitaire de Sherbrooke (CHUS), Sherbrooke, Québec, Canada
| | - Scott M Williams
- Department of Population and Quantitative Health Sciences, School of Medicine, Case Western Reserve University, Cleveland, OH, USA
| | - Ramkumar Menon
- Department of Obstetrics and Gynaecology, University of Texas Medical Branch, Galveston, TX, USA
| | - Beverley M Shields
- Institute of Biomedical and Clinical Science, College of Medicine and Health, University of Exeter, Exeter, UK
| | | | - Huan Xu
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
- Division of Human Genetics, Center for the Prevention of Preterm Birth, Perinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Mads Melbye
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - William Lowe
- Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Luigi Bouchard
- Department of Biochemistry and Functional Genomics, Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, Québec, Canada
- Clinical Department of Laboratory Medicine, Centre intégré universitaire de santé et de services sociaux (CIUSSS) du Saguenay-Lac-St-Jean - Hôpital Universitaire de Chicoutimi, Saguenay, Québec, Canada
| | - Emily Oken
- Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Ole B Pedersen
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- Department of Clinical Immunology, Zealand University Hospital, Køge, Denmark
| | - Daniel F Gudbjartsson
- deCODE genetics/Amgen, Reykjavik, Iceland
- School of Engineering and Natural Sciences, University of Iceland, Reykjavik, Iceland
| | - Christian Erikstrup
- Department of Clinical Immunology, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Faculty of Health, University of Aarhus, Aarhus, Denmark
| | - Erik Sørensen
- Department of Clinical Immunology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
| | - Rolv T Lie
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
- Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
| | - Kari Teramo
- Department of Obstetrics and Gynecology, Helsinki University Central Hospital, Helsinki, Finland
- University of Helsinki, Helsinki, Finland
| | - Mikko Hallman
- PEDEGO Research Unit and Medical Research Center Oulu, University of Oulu, Oulu, Finland
- Department of Children and Adolescents, Oulu University Hospital, Oulu, Finland
| | | | - Hakon Hakonarson
- The Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Pediatrics, The Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Division of Human Genetics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Division of Pulmonary Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | | | - Andrew T Hattersley
- Institute of Biomedical and Clinical Science, College of Medicine and Health, University of Exeter, Exeter, UK
| | - Line Sletner
- Department of Pediatric and Adolescents Medicine, Akershus University Hospital, Lørenskog, Norway
| | - Mario Merialdi
- Maternal Newborn Health Innovations, PBC, Geneva, Switzerland
| | - Sheryl L Rifas-Shiman
- Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Thora Steingrimsdottir
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
- Department of Obstetrics and Gynecology, Landspitali - The National University Hospital of Iceland, Reykjavik, Iceland
| | - Denise Scholtens
- Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Christine Power
- Population, Policy, Practice. Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Jane West
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Mette Nyegaard
- Department of Health Science and Technology, Aalborg University, Aalborg, Denmark
| | - John A Capra
- Bakar Computational Health Sciences Institute and Department of Epidemiology and Statistics, University of California San Francisco, San Francisco, CA, USA
| | - Anne H Skogholt
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway
| | - Per Magnus
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Ole A Andreassen
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
- NORMENT Centre, University of Oslo, Oslo, Norway
- Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Unnur Thorsteinsdottir
- deCODE genetics/Amgen, Reykjavik, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Struan F A Grant
- Department of Pediatrics, The Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Center for Spatial and Functional Genomics Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Divisions of Human Genetics and Endocrinology and Diabetes, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Genetics, The Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Elisabeth Qvigstad
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
- Department of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, Norway
| | - Craig E Pennell
- School of Medicine and Public Health, College of Health, Medicine and Wellbeing, The University of Newcastle, Callaghan, New South Wales, Australia
- Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
| | - Marie-France Hivert
- Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA, USA
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Geoffrey M Hayes
- Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Marjo-Riitta Jarvelin
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
- Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland
- Biocenter of Oulu, University of Oulu, Linnanmaa, Oulu, Finland
- Department of Life Sciences, College of Health and Life Sciences, Brunel University London, Uxbridge, UK
| | - Mark I McCarthy
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
- Genentech, South San Francisco, CA, USA
| | - Deborah A Lawlor
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- NIHR Bristol Biomedical Research Centre, Bristol, UK
| | - Henriette S Nielsen
- Department of Obstetrics and Gynaecology, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- The Recurrent Pregnancy Loss Unit, The Capital Region, Copenhagen University Hospitals Rigshospitalet & Hvidovre Hospital, Hvidovre, Denmark
| | - Reedik Mägi
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Antonis Rokas
- Department of Biological Sciences, Vanderbilt University, Nashville, TN, USA
- Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN, USA
- Vanderbilt Genetics Institute, Vanderbilt University, Nashville, TN, USA
| | - Kristian Hveem
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway
- HUNT Research Centre, Department of Public Health and Nursing, Norwegian University of Science and Technology, Levanger, Norway
- Department of Medicine, Levanger Hospital, Nord-Trøndelag Hospital Trust, Levanger, Norway
| | - Kari Stefansson
- deCODE genetics/Amgen, Reykjavik, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Bjarke Feenstra
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark
| | - Pål Njolstad
- Center for Diabetes Research, Department of Clinical Science, University of Bergen, Bergen, Norway
- Children and Youth Clinic, Haukeland University Hospital, Bergen, Norway
| | - Louis J Muglia
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
- Division of Human Genetics, Center for the Prevention of Preterm Birth, Perinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Rachel M Freathy
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Institute of Biomedical and Clinical Science, College of Medicine and Health, University of Exeter, Exeter, UK
| | - Stefan Johansson
- Center for Diabetes Research, Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Medical Genetics, Haukeland University Hospital, Bergen, Norway
| | - Ge Zhang
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
- Division of Human Genetics, Center for the Prevention of Preterm Birth, Perinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Bo Jacobsson
- Department of Obstetrics and Gynaecology, Sahlgrenska Academy, Institute of Clinical Science, University of Gothenburg, Gothenburg, Sweden.
- Department of Genetics and Bioinformatics, Health Data and Digitalization, Norwegian Institute of Public Health, Oslo, Norway.
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Parsons E, Rifas-Shiman SL, Bozack AK, Baccarelli AA, DeMeo DL, Hivert MF, Godderis L, Duca RC, Oken E, Cardenas A. Prenatal trimester-specific intake of micronutrients: global DNA methylation and hydroxymethylation at birth and persistence in childhood. J Dev Orig Health Dis 2023; 14:311-318. [PMID: 36515010 PMCID: PMC9998337 DOI: 10.1017/s2040174422000642] [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] [Indexed: 12/15/2022]
Abstract
The prenatal environment may program health and disease susceptibility via epigenetic mechanisms. We evaluated associations of maternal trimester-specific intake of micronutrients with global DNA methylation (%5mC) and 5-hydroxymethylation (%5hmC) at birth in cord blood and tested for persistence into childhood. We quantified global %5mC and %5hmC in cord blood cells (n = 434) and in leukocytes collected in early (n = 108) and mid-childhood (n = 390) from children in Project Viva, a pre-birth cohort from Boston, MA. Validated food frequency questionnaires estimated maternal first- and second-trimester intakes of vitamin B2, vitamin B6, vitamin B12, folate, betaine, choline, methionine, iron, and zinc. Mean (SD) cord blood %5mC and %5hmC was 5.62% (2.04) and 0.25% (0.15), respectively. Each μg increase in first-trimester B12 intake was associated with 0.002 lower %5hmC in cord blood (95% CI: -0.005, -0.0003), and this association persisted in early childhood (β = -0.007; 95% CI: -0.01, -0.001) but not mid-childhood. Second-trimester iron (mg) was associated with 0.01 lower %5mC (95% CI: -0.02, -0.002) and 0.001 lower %5hmC (95% CI: -0.01, -0.00001) in cord blood only. Increased second-trimester zinc (mg) intake was associated with 0.003 greater %5hmC in early childhood (β = 0.003; 95% CI: 0.0004, 0.006). Second-trimester folate was positively associated with %5hmC in early childhood only (β = 0.08, 95% CI: 0.003, 0.16). Associations did not survive multiple testing adjustment; future replication is needed. Trimester-specific nutrients may impact various sensitive windows of epigenetic programming some with lasting effects in childhood. Further research is needed to understand the role of gene-specific epigenetic changes and how global DNA methylation measures relate to child health.
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Affiliation(s)
- Ella Parsons
- Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, Berkeley, CA, USA
| | - Sheryl L. Rifas-Shiman
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Anne K. Bozack
- Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, Berkeley, CA, USA
| | - Andrea A. Baccarelli
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Dawn L. DeMeo
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Boston, MA, USA
| | - Marie-France Hivert
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Lode Godderis
- Centre for Environment & Health, Department of Public Health & Primary Care, University of Leuven (KU Leuven), Belgium
- IDEWE, External service for prevention and protection at work, Heverlee, Belgium
| | - Radu-Corneliu Duca
- Centre for Environment & Health, Department of Public Health & Primary Care, University of Leuven (KU Leuven), Belgium
- Environmantal Hygiene and Biological Surveillance at the National Health Laboratory (LNS), Luxembourg
| | - Emily Oken
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Andres Cardenas
- Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, Berkeley, CA, USA
- Center for Computational Biology, University of California, Berkeley, Berkeley, CA, USA
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30
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Abstract
OBJECTIVE This study aimed to examine the association of antimüllerian hormone (AMH) with concurrent and prospective measures of adiposity during approximately 9 years of follow-up. METHODS Participants were 697 parous women from the Project Viva prebirth cohort without polycystic ovarian syndrome. We measured AMH at approximately 3 years postpartum (baseline). Outcomes were weight, body mass index (BMI), and waist circumference assessed at baseline, 4, and 9 years later; % body fat was assessed by bioimpedance at the 4- and 9-year visit. We used linear mixed-effect models including all outcome time points and accounting for age across follow-up and hormonal contraception prescription. In an additional model, we further adjusted for height. RESULTS Median AMH was 1.97 ng/mL (interquartile range, 0.83-4.36 ng/mL), 29.1% had AMH <1.0 ng/mL, and mean age at AMH measurement was 36.7 years (SD, 4.9 y; range, 20-48 y). AMH was inversely associated with average weight, BMI, and waist circumference over follow-up. In age-adjusted models, women with AMH <1.0 versus ≥1.0 ng/mL were 4.92 kg (95% CI, 2.01-7.82 kg) heavier, had a 2.51 cm (95% CI, 0.12-4.89 cm) greater waist circumference, and a 1.46 kg/m 2 (95% CI, 0.44-2.48 kg/m 2 ) greater BMI across the 9 years of follow-up. Findings were similar after covariate adjustment and when AMH was modeled continuously. AMH was also inversely associated with higher fat mass %; however, the CI crossed the null. CONCLUSION Low AMH at baseline was associated with greater adiposity concurrently and across approximately 9 years of follow-up. Whether low AMH is a useful marker of metabolic risk across midlife requires further research.
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Affiliation(s)
- Ellen C Francis
- From the Lifecourse Epidemiology of Adiposity and Diabetes Center, Colorado School of Public Health, University of Colorado Denver, Anschutz Medical Campus, Aurora, CO
| | | | | | - Sheryl L Rifas-Shiman
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School, and Harvard Pilgrim Health Care Institute, Landmark Center, Boston, MA
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31
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Bornkamp N, Sidote MN, Zhang M, Nichols A, Rifas-Shiman SL, Hivert MF, Oken E. Abstract P320: Adverse Childhood Experiences Are Associated With Greater Adiposity in Midlife Women: Findings From the Prospective Project Viva Cohort. Circulation 2023. [DOI: 10.1161/circ.147.suppl_1.p320] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/16/2023]
Abstract
Introduction:
The associations of adverse childhood experiences (ACEs) with adiposity are not well characterized in midlife women, a life stage when cardiometabolic risk increases substantially.
Hypothesis:
More reported adverse childhood experiences are associated with greater body mass index (BMI) and waist circumference (WC).
Methods:
At mean (SD) 51.0 (5.0) years, 432 participants in the Project Viva cohort completed questionnaires and research staff measured height and weight (used to derive BMI) and waist circumference. Women self-reported personal history of ACEs (10 possible types in 3 subdomains: abuse, neglect, and household challenges) prior to 18 years old. We used multivariable linear regression to evaluate associations of ACEs with BMI and waist circumference and adjusted for childhood social factors including parental education, US birth, and race/ethnicity.
Results:
Mean (SD) ACE score was 1.7 (1.9), BMI was 27.4 (6.2) kg/m
2
and WC was 91.8 (15.3) cm. In unadjusted models, each additional ACE was associated with higher BMI (β =0.49kg/m
2
, 95% CI: 0.18, 0.80) and greater waist circumference (β =0.94cm, 95% CI: 0.18, 1.71). Adjusting for childhood social factors reduced associations and 95% CIs included the null (BMI: 0.19kg/m
2
, 95% CI: -0.13, 0.51; WC: 0.35cm, 95% CI: -0.45, 1.14). Associations were stronger for ACEs related to abuse and neglect versus household challenges in unadjusted and adjusted models (Figure). Adjusting for childhood social factors attenuated the associations for neglect and household challenges subdomains, but less so for abuse.
Conclusions:
Adverse childhood experiences are associated with greater adiposity measures in midlife women. The differing associations of ACEs subdomains with adiposity indicate that these outcomes may be more strongly related to the type of ACE someone experiences than solely the number of ACEs experienced.
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Affiliation(s)
| | | | | | - Amy Nichols
- Harvard Pilgrim Healthcare Institute, Boston, MA
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Rifas-Shiman SL, Hivert MF, Chavarro JE, Rich-Edwards J, Oken E. Abstract P259: Associations of Adverse Childhood Experiences With Cardiovascular Health (Life’s Essential 8) Among Women in Midlife. Circulation 2023. [DOI: 10.1161/circ.147.suppl_1.p259] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/17/2023]
Abstract
Introduction:
Many women experience suboptimal cardiovascular health (CVH) during midlife and CVH is related to upstream social, behavioral and environmental factors. However, associations of adverse childhood experiences (ACEs) - more common among women - with CVH are understudied.
Hypothesis:
ACEs would be associated with poorer CVH among women in midlife.
Methods:
At mean (SD) 50.9 (5.1) years, participants in the Project Viva cohort completed questionnaires and research staff measured their height, weight, blood pressure, and blood levels of glucose, HbA1c and cholesterol. We calculated Life’s Essential 8 (LE8), a 0-100-point score that includes 8 components of CVH: heart healthy levels of diet, physical activity, sleep, avoidance of nicotine, body mass index (BMI), blood lipids, blood glucose and blood pressure. In 2021, women reported their personal history of ACEs (10 possible types) prior to age 18y. We used linear regression models adjusted for childhood SES measures (race/ethnicity, parental education, US birth) and age at outcome.
Results:
Among 319 participants, 114 (36%) reported 0 ACEs and 58 (18%) reported ≥4 ACEs. In midlife, mean (SD) LE8 score was 77 (12) points. In age-adjusted models, ACEs (4+ vs 0) were associated with poorer LE8 score (β -6.15; 95% CI -9.91, -2.40) and behavioral (β -5.84; CI -9.98, -1.69) and biological (β -6.47; CI -11.8, -1.12) domains; covariate adjustment attenuated the results, though the trends remained significant for LE8 and behavioral domain (Figure). In fully adjusted models, each additional ACE was associated with poorer LE8 score (β -0.74; CI -1.44, -0.04) and associations were stronger for ACEs related to abuse (β -2.72; CI -5.57, 0.12) and neglect (-2.48; CI -5.81, 0.85). Of the LE8 components (0-100-points), associations were strongest for glucose (β -1.76; CI -2.85, -0.67) and physical activity (β -1.86; CI -3.92, 0.20).
Conclusions:
Adverse childhood experiences may have persistent associations with several measures of cardiovascular health among women into midlife.
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Affiliation(s)
| | | | | | | | - Emily Oken
- Harvard Med Sch and Harvard Pilgrim Health Care Institute, Boston, MA
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33
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Arvayo J, Stephenson BJ, Aris I, Preston EV, Hivert MF, Oken E, Rifas-Shiman SL, Zota A, James-Todd T. Abstract P166: First Trimester Plasma Per- and Polyfluoroalkyl Substance (PFAS) Concentrations and Blood Pressure Trajectories Throughout the Second and Third Trimesters of Pregnancy. Circulation 2023. [DOI: 10.1161/circ.147.suppl_1.p166] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/15/2023]
Abstract
Introduction:
Evidence suggests that PFAS exposures increase risk of hypertensive disorders of pregnancy. Prior studies did not examine blood pressure (BP) trajectories during pregnancy – an important outcome to consider since adverse health outcomes can occur without diagnosis of a hypertensive disorder.
Hypothesis:
We hypothesized that higher PFAS exposures in the 1
st
trimester would be associated with higher BP trajectory and faster BP velocity in later stages of pregnancy.
Methods:
We collected plasma from 1,308 individuals to measure six circulating PFAS in early pregnancy (median: 9.4 weeks gestation). Systolic BP (SBP) and diastolic BP (DBP) measurements, recorded from 12 weeks gestation until delivery, were abstracted from outpatient medical records. We estimated the mean BP trajectory via growth curve analysis, then employed BKMR to examine PFAS exposures with parameters of the trajectory – adjusting for age, race/ethnicity, pre-pregnancy BMI, income, parity, alcohol intake, and physical activity. We evaluated effect modification by age and BMI.
Results:
We collected a median of 13 BP measurements (IQR: 11 – 14) per participant. BKMR single PFAS analyses showed higher concentrations of PFOS were associated with higher SBP and DBP trajectory from 12 weeks gestation to delivery (Figure 1A) as well as faster SBP velocity. Stratified analyses showed evidence of effect modification. PFOS was associated with higher SBP trajectory in those with a BMI < 25 kg/m
2
and higher DBP trajectory in those with a BMI ≥ 25 kg/m
2
(Figure 1B). In contrast, PFNA and PFHxS were associated with lower DBP trajectory for those with low BMI (Figure 1C). Lastly, exposure to lower quantiles of the PFAS mixture was associated with slower SBP velocity for those with low BMI. No associations were observed between PFAS and DBP velocity.
Conclusions:
Our findings suggest that select prenatal PFAS exposures may impact BP trajectories during pregnancy. Higher concentrations of PFOS are associated with higher BP trajectory and faster BP velocity.
1
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Affiliation(s)
| | | | | | | | | | | | | | - Ami Zota
- Mailman Sch of Public Health, Columbia Univ, New York, NY
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34
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Nichols AR, Rifas-Shiman SL, Switkowski KM, Young J, Hivert MF, Chavarro J, Oken E. Abstract MP75: History of Infertility is Associated With Midlife Cardiovascular Health in Females. Circulation 2023. [DOI: 10.1161/circ.147.suppl_1.mp75] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/16/2023]
Abstract
Introduction:
Infertility, the inability to conceive for ≥12mo (≥6mo if age ≥35y), has been associated with increased risk for adverse cardiometabolic outcomes, but risk related to specific domains of cardiovascular health remain unclear. Utilizing the American Heart Association’s
Life’s Essential 8
(LE8) construct of cardiovascular health, we hypothesized that history of infertility would be associated with lower LE8 score (0-100) comprising four behavioral (diet, physical activity, sleep, smoking status) and four biological (BMI, blood pressure, blood lipids, glycemia) domains.
Methods:
Project Viva enrolled pregnant participants 1999-2002. We included participants who completed a midlife visit at approximately 18y postpartum (mean age 50.6y). Using multivariable linear regression, we examined relationships between any history of infertility (y/n) and mean LE8 overall, behavioral, biological, and individual component scores adjusted for race/ethnicity, education, household income, and age at midlife visit.
Results:
At midlife, 468 participants had complete data. The majority (67%, n=313) identified as non-Hispanic White and had a mean (± SD) LE8 overall score of 76.3 ± 12.2, behavioral score 76.5 ± 13.4, and biological score 76.0 ± 17.5. Overall, 35% (n=160) reported experiencing infertility in their lifetime. In adjusted models, estimated LE8 overall score was 3.3 points lower (β=-3.31, 95%CI -5.63, -0.98) compared to those with no history of infertility; a stronger association was detected for the biological (β=-4.64, 95%CI -8.13, -1.16) than the behavioral domain (β=-1.97, 95%CI -4.52 ,0.58). Of individual LE8 components, infertility was most strongly associated with a lower score for blood lipids (β=-8.77, 95%CI -15.1, -2.43) and glycemia (β=-4.84, 95%CI -8.71, -0.97) (Figure).
Conclusion:
A history of infertility was associated with lower overall and biological cardiovascular health scores and may indicate the need for enhanced cardio-preventive strategies during the reproductive years.
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35
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Lin PID, Cardenas A, Rifas-Shiman SL, Zota AR, Hivert MF, Oken E, Aris IM, Sanders AP. Abstract P168: Early Life Metal Profiles and Kidney Function in Mid-Adolescence: A Preliminary Study in Project Viva. Circulation 2023. [DOI: 10.1161/circ.147.suppl_1.p168] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/17/2023]
Abstract
Introduction:
The developing kidney is vulnerable to pre- and postnatal environmental stressors. Suboptimal environmental conditions during early life, such as exposure to toxic metals and deficiency in essential metals, can alter the risk of kidney dysfunction later in life. In this pilot study, we aimed to examine the relationship between prenatal exposure to metals and adolescent kidney function using data from Project Viva, a Boston-area prospective pre-birth cohort.
Hypothesis:
Prenatal exposure to higher metal concentrations, both individually and as mixtures, will be associated with altered kidney function in mid-adolescence.
Methods:
We assessed the following metals in erythrocyte samples collected during pregnancy: 1
st
-trimester [arsenic (As), barium (Ba), cadmium (Cd), cesium (Cs), mercury (Hg), lead (Pb), copper (Cu), magnesium (Mg), manganese (Mn), selenium (Se), and Zinc (Zn)]; 2
nd
-trimester (Pb, Mn, Hg, and Se). We measured plasma cystatin C and creatinine from blood samples collected in mid-adolescence (mean age 18 years) in a sub-sample of Project Viva participants. We calculated the estimated glomerular filtrate rate (eGFR) using a cystatin C-based equation for children. We examined associations of prenatal metal exposure and mid-adolescent eGFR using linear regression for single metal analyses, and Bayesian kernel machine regression and quantile-based g-computation for mixture analyses. In all models, we adjusted for maternal education level, annual household income, race/ethnicity, child sex, and age at eGFR assessment.
Results:
A total of 146 participants had complete data for 1
st
-trimester erythrocyte metals and mid-adolescent eGFR, and 105 participants had complete data for 2
nd
-trimester blood metals and mid-adolescent eGFR. All children had eGFR values in the normal range (i.e., >60 mL/min/1.73m
2
); the mean (SD) eGFR was 92.0 (13.7) mL/min/1.73m
2
. Most pairwise metal-eGFR relationships were statistically null; however, a 2-fold increase in 1
st
-trimester Zn was associated with higher eGFR (β 7.25 mL/min/1.73m
2
; 95% CI 0.33, 14.16), while a 2-fold increase in 2
nd
-trimester Pb was associated with lower eGFR (β -4.90 mL/min/1.73m
2
; 95% CI -8.32, -1.48). Mixture analyses did not identify statistically significant findings but suggested some non-linear associations and interactions between metals.
Conclusions:
Preliminary evidence suggests that prenatal Zn exposure is associated with higher kidney function while prenatal Pb exposure is associated with lower kidney function in mid-adolescence. We plan to assess eGFR in additional participants to increase the power of the analyses.
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Affiliation(s)
- Pi-i D Lin
- Dept of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Med Sch, Boston, MA
| | - Andres Cardenas
- Dept of Epidemiology and Population Health, Stanford Univ, Stanford, CA
| | - Sheryl L Rifas-Shiman
- Dept of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Med Sch, Boston, MA
| | - Ami R Zota
- Dept of Environmental Health Sciences, Columbia Univ Mailman Sch of Public Health, New York, NY
| | | | - Emily Oken
- Dept of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Med Sch, Boston, MA
| | - Izzuddin M Aris
- Dept of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Med Sch, Boston, MA
| | - Alison P Sanders
- Dept of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Med Sch, Boston, MA
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36
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Zhang M, Rifas-Shiman SL, Aris I, James-Todd T, Oken E, Hivert MF. Abstract P169: Prenatal Per- and Polyfluoroalkyl Substance (PFAS) Exposures and Offspring Blood Pressure From Birth to Late Adolescence: A Prospective Study in Project Viva. Circulation 2023. [DOI: 10.1161/circ.147.suppl_1.p169] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/15/2023]
Abstract
Introduction:
Mice studies showed that prenatal PFAS exposures increase offspring blood pressure (BP), but findings in human studies are inconsistent. Prior studies did not have repeated BP measurements from birth to late adolescence or use a mixture approach to investigate the interactions or overall effects of prenatal PFAS exposures.
Methods:
Participants are from the prospective pre-birth cohort Project Viva. We measured PFAS in maternal plasma samples collected in the 1
st
-trimester (median: 9.6w) and child systolic (SBP) and diastolic BP (DBP) at six follow-up visits: 1) birth; 2) infancy (median: 6m); 3) early childhood (median: 3.2y); 4) mid-childhood (median: 7.7y); 5) early adolescent (median: 13.0y), 6) mid-adolescent (median: 17.5y). At each study visit, BP was measured 4-5 times, and the average value was taken. We used linear regression to examine associations of each individual PFAS, and Bayesian kernel machine regression (BKMR) to examine PFAS mixtures, with BP at each visit, adjusting for maternal age, race/ethnicity, education, pre-pregnancy body mass index, parity, smoking status, and chronic hypertension before pregnancy.
Results:
Sample sizes at each visit ranged from 549-919 (
Legend
). Prenatal PFAS was not consistently associated with offspring SBP or DBP across all visits. PFOS was associated with higher SBP in mid-childhood (
Panel A1
), EtFOSAA was associated with higher SBP in infancy and in mid-childhood (
Panel A5
), and MeFOSAA was associated with higher SBP in infancy (
Panel A6
). PFOS, PFNA, EtFOSAA, and MeFOSAA were associated with lower DBP only in early childhood but not at other visits (
Panels B1, B4, B5, B6
). BKMR did not suggest prenatal PFAS interactions or the overall effects of exposure to multiple PFAS on offspring SBP or DBP.
Conclusions:
There are no consistent associations between prenatal PFAS exposures and BP from birth to late adolescence. Future studies should examine whether there are other critical windows (e.g., mid- or late pregnancy) of susceptibility for PFAS on offspring BP.
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Affiliation(s)
- Mingyu Zhang
- Harvard Med Sch and Harvard Pilgrim Health Care Institute, Boston, MA
| | | | - Izzuddin Aris
- Harvard Med Sch and Harvard Pilgrim Health Care Institute, Boston, MA
| | | | - Emily Oken
- Harvard Med Sch and Harvard Pilgrim Health Care Institute, Boston, MA
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Zhang M, Rifas-Shiman SL, Aris I, Fleisch A, Oken E, Hivert MF. Abstract 64: Prenatal Per- and Polyfluoroalkyl Substance (PFAS) Exposures, Individually and as a Mixture, Are Associated With Obesity Risk at 16-20 Years in the Project Viva Prospective Cohort: Implications for PFAS as Hazardous Substances for Developmental Health. Circulation 2023. [DOI: 10.1161/circ.147.suppl_1.64] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/15/2023]
Abstract
Introduction:
PFAS are obesogenic in adults, but findings on the associations between prenatal PFAS exposures and child obesity risk are inconsistent, and it is not clear if such associations extend up to mid- to late adolescence. We investigated the individual and joint associations of prenatal PFAS exposures with obesity risk at 16-20 years.
Methods:
In the prospective pre-birth cohort Project Viva, we measured PFAS in maternal plasma samples collected in the first trimester and child body mass index (BMI) at the mid-adolescent visit (median: 17.4y; range: 15.9-20.0y). We defined obesity as BMI ≥ 95
th
percentile for age and sex based on the CDC Growth Charts. We used Poisson regression with robust variance estimates to examine associations of each PFAS, and Bayesian kernel machine regression (BKMR) to examine PFAS mixtures, with obesity. We adjusted for maternal age, education, pre-pregnancy BMI, race/ethnicity, parity, and smoking status during pregnancy.
Results:
Among 545 participants, 73 (13%) had a BMI in the obese range. Children with higher prenatal PFOS and PFNA exposures had a greater risk of obesity [relative risk = 1.59 (95% CI: 1.19, 2.11) per doubling of PFOS and 1.48 (95% CI: 1.11, 1.98) per doubling of PFNA] in multivariable-adjusted models. In BKMR models, PFOS and PFNA were similarly associated with greater risk of obesity when accounting for co-exposures of other PFAS
(Panel A)
. There was an interaction between PFOS and PFOA: the positive association between PFOS and obesity was stronger when PFOA levels were lower
(Panel B)
, while there was a negative association between PFOA and obesity when PFOS levels were higher
(Panel C)
. Children with higher concentrations of the mixture PFAS had greater obesity risk in a dose-dependent fashion
(Panel D)
.
Conclusions:
Prenatal PFAS exposures may have long-lasting, intergenerational obesogenic effects. Our findings support the U.S. Environmental Protection Agency’s recent designation of PFAS as hazardous substances for human health, including developmental health.
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Affiliation(s)
- Mingyu Zhang
- Harvard Med Sch and Harvard Pilgrim Health Care Institute, Boston, MA
| | | | - Izzuddin Aris
- Harvard Med Sch and Harvard Pilgrim Health Care Institute, Boston, MA
| | | | - Emily Oken
- Harvard Med Sch and Harvard Pilgrim Health Care Institute, Boston, MA
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Sidote MN, Bornkamp N, Rifas-Shiman SL, Nichols AR, Zhang M, Hivert MF, Oken E. Abstract MP35: Hair Cortisol Concentrations Are Associated With Greater Adiposity in Mid-Adolescence. Circulation 2023. [DOI: 10.1161/circ.147.suppl_1.mp35] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/16/2023]
Abstract
Introduction:
Hair cortisol concentration (HCC) is a biomarker of long-term stress. Higher HCC is associated with body mass index (BMI) and other adiposity measures in adults; however, this association is not well characterized in adolescents. Additionally, HCC differs by sex, but associations with adiposity by sex have not been well studied.
Hypothesis:
Higher HCC levels are associated with greater adiposity in mid-adolescence.
Methods:
Among 324 participants (49.1% female, mean 17.7 years) in Project Viva, we performed a cross-sectional analysis of HCC with measures of adiposity in mid-adolescence. We used multivariable linear regression models, overall and stratified by sex, to estimate associations of HCC (log2 transformed) with BMI, % body fat, and waist circumference (WC), adjusted for age and known predictors of adiposity, namely maternal education, smoking during pregnancy, pre-pregnancy BMI, age, and household income; and child sex-specific birthweight for gestational age z-scores, secondhand smoke exposure, age, and sex (for overall models).
Results:
Median (IQR) HCC was 2.1 pm/mg (1.0 – 4.7) and mean (SD) BMI was 23.0 kg/m
2
(3.8), % body fat was 20.1% (9.9), and WC was 80.4 cm (10.8). In adjusted models, HCC (per doubling) was associated with higher BMI (β 0.20 kg/m
2
; 95% CI 0.01, 0.39), % body fat (β 0.42%; 95% CI 0.04, 0.80), and WC (β 0.45 cm; 95% CI -0.07, 0.96) (Figure). There was no evidence of effect modification by sex (all sex by HCC interaction p-values >0.50).
Conclusions:
Higher HCC was cross-sectionally associated with greater adiposity in mid-adolescence. Associations were similar among males and females, suggesting a similar impact of long-term stress on adiposity between sexes. Adjustment for known predictors of adiposity does not alter the association of HCC and adiposity measures. Further research is needed to understand the temporal direction of this association.
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Affiliation(s)
- Melissa N Sidote
- Div of Chronic Disease Rsch Across the Lifecourse, Dept of Population Medicine, Harvard Med Sch and Harvard Pilgrim Health Care Institute, Boston, MA
| | - Nicole Bornkamp
- Div of Chronic Disease Rsch Across the Lifecourse, Dept of Population Medicine, Harvard Med Sch and Harvard Pilgrim Health Care Institute, Boston, MA
| | - Sheryl L Rifas-Shiman
- Div of Chronic Disease Rsch Across the Lifecourse, Dept of Population Medicine, Harvard Med Sch and Harvard Pilgrim Health Care Institute, Boston, MA
| | - Amy R Nichols
- Div of Chronic Disease Rsch Across the Lifecourse, Dept of Population Medicine, Harvard Med Sch and Harvard Pilgrim Health Care Institute, Boston, MA
| | - Mingyu Zhang
- Div of Chronic Disease Rsch Across the Lifecourse, Dept of Population Medicine, Harvard Med Sch and Harvard Pilgrim Health Care Institute, Boston, MA
| | - Marie-France Hivert
- Div of Chronic Disease Rsch Across the Lifecourse, Dept of Population Medicine, Harvard Med Sch and Harvard Pilgrim Health Care Institute, Boston, MA
| | - Emily Oken
- Div of Chronic Disease Rsch Across the Lifecourse, Dept of Population Medicine, Harvard Med Sch and Harvard Pilgrim Health Care Institute, Boston, MA
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Cohen N, Faleschini S, Rifas-Shiman SL, Bouchard L, Doyon M, Simard O, Arguin M, Fink G, Alman AC, Kirby R, Chen H, Wilson R, Fryer K, Perron P, Oken E, Hivert MF. Associations of maternal glucose markers in pregnancy with cord blood glucocorticoids and child hair cortisol levels. J Dev Orig Health Dis 2023; 14:88-95. [PMID: 35801348 PMCID: PMC9825683 DOI: 10.1017/s2040174422000381] [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] [Indexed: 01/22/2023]
Abstract
Exposure to maternal hyperglycemia in utero has been associated with adverse metabolic outcomes in offspring. However, few studies have investigated the relationship between maternal hyperglycemia and offspring cortisol levels. We assessed associations of gestational diabetes mellitus (GDM) with cortisol biomarkers in two longitudinal prebirth cohorts: Project Viva included 928 mother-child pairs and Gen3G included 313 mother-child pairs. In Project Viva, GDM was diagnosed in N = 48 (5.2%) women using a two-step procedure (50 g glucose challenge test, if abnormal followed by 100 g oral glucose tolerance test [OGTT]), and in N = 29 (9.3%) women participating in Gen3G using one-step 75 g OGTT. In Project Viva, we measured cord blood glucocorticoids and child hair cortisol levels during mid-childhood (mean (SD) age: 7.8 (0.8) years) and early adolescence (mean (SD) age: 13.2 (0.9) years). In Gen3G, we measured hair cortisol at 5.4 (0.3) years. We used multivariable linear regression to examine associations of GDM with offspring cortisol, adjusting for child age and sex, maternal prepregnancy body mass index, education, and socioeconomic status. We additionally adjusted for child race/ethnicity in the cord blood analyses. In both Project Viva and Gen3G, we observed null associations of GDM and maternal glucose markers in pregnancy with cortisol biomarkers in cord blood at birth (β = 16.6 nmol/L, 95% CI -60.7, 94.0 in Project Viva) and in hair samples during childhood (β = -0.56 pg/mg, 95% CI -1.16, 0.04 in Project Viva; β = 0.09 pg/mg, 95% CI -0.38, 0.57 in Gen3G). Our findings do not support the hypothesis that maternal hyperglycemia is related to hypothalamic-pituitary-adrenal axis activity.
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Affiliation(s)
- Nathan Cohen
- College of Public Health, University of South Florida, Tampa, FL, USA
| | - Sabrina Faleschini
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Sheryl L. Rifas-Shiman
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Luigi Bouchard
- Centre de recherche du Centre Hospitalier Universitaire de Sherbrooke, Sherbrooke, Quebec, Canada
- Department of Biochemistry and Functional Genomics, Faculty of Medicine and Health Sciences, University of Sherbrooke, Sherbrooke, Quebec, Canada
- Clinical Department of Laboratory medicine, Centre intégré universitaire de santé et de services sociaux (CIUSSS) du Saguenay–Lac-St-Jean – Hôpital Universitaire de Chicoutimi, Saguenay, Quebec, Canada
| | - Myriam Doyon
- Centre de recherche du Centre Hospitalier Universitaire de Sherbrooke, Sherbrooke, Quebec, Canada
| | - Olivier Simard
- Department of Biochemistry and Functional Genomics, Faculty of Medicine and Health Sciences, University of Sherbrooke, Sherbrooke, Quebec, Canada
| | - Melina Arguin
- Centre de recherche du Centre Hospitalier Universitaire de Sherbrooke, Sherbrooke, Quebec, Canada
| | - Guy Fink
- Department of Medical Biology, University Health and Social Service Center of the Estrie, Fleurimont, Quebec, Canada
| | - Amy C. Alman
- College of Public Health, University of South Florida, Tampa, FL, USA
| | - Russell Kirby
- College of Public Health, University of South Florida, Tampa, FL, USA
| | - Henian Chen
- College of Public Health, University of South Florida, Tampa, FL, USA
| | - Ronee Wilson
- College of Public Health, University of South Florida, Tampa, FL, USA
| | - Kimberly Fryer
- Department of Obstetrics and Gynecology, Morsani College of Medicine, University of South Florida, Tampa, FL, USA
| | - Patrice Perron
- Centre de recherche du Centre Hospitalier Universitaire de Sherbrooke, Sherbrooke, Quebec, Canada
- Department of Medicine, Faculty of Medicine and Health Sciences, University of Sherbrooke, Sherbrooke, Quebec, Canada
| | - Emily Oken
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Marie-France Hivert
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
- Massachusetts General Hospital, Diabetes Unit, Boston, MA, USA
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40
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Monthé-Drèze C, Aris IM, Rifas-Shiman SL, Shivappa N, Hebert JR, Oken E, Sen S. The Role of Prenatal Psychosocial Stress in the Associations of a Proinflammatory Diet in Pregnancy With Child Adiposity and Growth Trajectories. JAMA Netw Open 2023; 6:e2251367. [PMID: 36662527 PMCID: PMC9860526 DOI: 10.1001/jamanetworkopen.2022.51367] [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] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Accepted: 11/23/2022] [Indexed: 01/21/2023] Open
Abstract
Importance Prenatal psychosocial stress and nutrition may each program offspring adiposity, an important predictor of lifelong cardiometabolic health. Although increased stress and poor nutrition have been found to co-occur in pregnancy, little is known about their combined longitudinal associations in the offspring. Objective To investigate whether the associations of the Dietary Inflammatory Index (DII) with offspring adiposity differ by prenatal stress levels and whether these associations change with age. Design, Setting, and Participants Project Viva, a prospective prebirth cohort study of mother-child dyads in Massachusetts, included singleton children of mothers enrolled between April 1999 and July 2002, with follow-up visits at early childhood, midchildhood, and early adolescence. Data analysis was performed from October 31, 2020, to October 31, 2022. Exposures Food frequency-derived DII score in pregnancy was the exposure. Effect modifiers included stress-related measures in pregnancy; depressive symptoms assessed using the Edinburgh Postnatal Depression Scale (EPDS), dichotomized at scores greater than or equal to 13 vs less than 13; and census tract-level social vulnerability (overall Social Vulnerability Index and its 4 main subindices), dichotomized at the 75th percentile. Main Outcomes and Measures Overall adiposity, comprising sex- and age-standardized body mass index (BMI z), sum of subscapular and triceps skinfolds, fat mass index (FMI), and body fat percentage estimated using bioelectrical impedance analysis (BIA) and dual x-ray absorptiometry (DXA); and central adiposity, comprising waist circumference, ratio of subscapular to triceps skinfolds, and DXA-derived trunk FMI. Results Among 1060 mother-child dyads, mean (SD) maternal age was 32.6 (4.6) years, and 811 (77%) mothers were non-Hispanic White. Mean (SD) DII score was -2.7 (1.3) units, Social Vulnerability Index level was 38th (27th) percentile, and 8% of mothers had depressive symptoms. Mean (SD) age of the children was 3.3 (0.3) years at the early childhood visit, 7.9 (0.8) years at the midchildhood visit, and 13.2 (0.9) years at the early adolescence visit. In adjusted analyses, children born to mothers in the highest (vs lowest) quartile of DII had slower decrease in BMI z scores (β, 0.03 SD units/y; 95% CI, 0.01-0.05 SD units/y), and faster adiposity gain (eg, BIA total FMI β, 0.11 kg/m2/y; 95% CI, 0.03-0.19 kg/m2/y) over time. Associations of prenatal DII quartiles with childhood adiposity were stronger (eg, BIA total FMI quartile 4 vs quartile 1 change in β, 1.40 kg/m2; 95% CI, 0.21-2.59 kg/m2) among children of mothers with high vs low EPDS scores in pregnancy, although EPDS scores did not modify the change over time. Associations of prenatal DII with adiposity change over time, however, were greater among children whose mothers lived in neighborhoods with a high (BIA percentage body fat: β, 0.55% per year; 95% CI, 0.04%-1.07% per year) vs low (β, 0.13% per year; 95% CI, -0.20 to 0.46% per year), percentage of racial and ethnic minorities, and residents with limited English-language proficiency. Conclusions and Relevance The findings of this cohort study suggest that it may be useful to simultaneously evaluate prenatal diet and psychosocial stress in women as targets for interventions intended to prevent excess childhood adiposity.
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Affiliation(s)
- Carmen Monthé-Drèze
- Department of Pediatric Newborn Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
| | - Izzuddin M. Aris
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
| | - Sheryl L. Rifas-Shiman
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
| | - Nitin Shivappa
- South Carolina Statewide Cancer Prevention and Control Program and Department of Epidemiology and Biostatistics, University of South Carolina, Columbia
- Department of Nutrition, Connecting Health Innovations LLC, Columbia, South Carolina
| | - James R. Hebert
- South Carolina Statewide Cancer Prevention and Control Program and Department of Epidemiology and Biostatistics, University of South Carolina, Columbia
- Department of Nutrition, Connecting Health Innovations LLC, Columbia, South Carolina
| | - Emily Oken
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
| | - Sarbattama Sen
- Department of Pediatric Newborn Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
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41
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Smith AR, Lin PID, Rifas-Shiman SL, Wright RO, Coull B, Hivert MF, Hubbard A, Oken E, Cardenas A. Associations of Prenatal First Trimester Essential and Nonessential Metal Mixtures with Body Size and Adiposity in Childhood. Epidemiology 2023; 34:80-89. [PMID: 36455248 PMCID: PMC9720697 DOI: 10.1097/ede.0000000000001560] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Accepted: 09/23/2022] [Indexed: 12/03/2022]
Abstract
BACKGROUND Prenatal nonessential metals may contribute to postnatal adiposity, whereas essential metals may have metabolic benefits. We evaluated joint and individual associations between prenatal metals and childhood adiposity. METHODS We measured concentrations of six nonessential (arsenic, barium, cadmium, cesium, lead, and mercury) and four essential (magnesium, manganese, selenium, and zinc) metals in first trimester maternal blood from a prebirth cohort. We collected anthropometric measures in early childhood, mid-childhood, and early adolescence including subscapular+tricep skinfold thickness (mm) (N = 715-859), waist circumference (cm) (N = 717-882), and body mass index (BMI) (z-score) (N = 716-875). We measured adiposity in mid-childhood and early adolescence using bone densitometry total- and trunk- fat mass index (kg/m 2 ) (N = 511-599). We estimated associations using adjusted quantile g-computation and linear regression. RESULTS The nonessential metal mixture was associated with higher total (β = 0.07, 95% CI = 0.01, 0.12) and trunk fat mass index (β = 0.12, CI = 0.02, 0.22), waist circumference (β = 0.01, CI = 0.00, 0.01), and BMI (β = 0.24, CI = 0.07, 0.41) in mid-childhood, and total fat mass index (β = 0.07, CI = 0.01, 0.14), and BMI (β = 0.19, CI = 0.02, 0.37) in early adolescence. The essential metal mixture was associated with lower early adolescence total-(β = -0.11, CI = -0.17, -0.04) and trunk- fat mass index (β = -0.13, CI = -0.21, -0.05), subscapular+tricep skinfold thickness (β = -0.02, CI = -0.03, -0.00), waist circumference (β = -0.003, CI = -0.01, -0.00), and BMI (β = -0.16, CI = -0.28, -0.04). Cadmium and cesium were individually associated with childhood adiposity at different timepoints. CONCLUSIONS Prenatal first-trimester essential metals were associated with lower childhood adiposity, whereas nonessential metals were associated with higher adiposity into adolescence.
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Affiliation(s)
- Anna R. Smith
- From the Division of Environmental Health Sciences, School of Public Health and Center for Computational Biology, University of California, Berkeley, Berkeley, California
| | - Pi-I D. Lin
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
| | - Sheryl L. Rifas-Shiman
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
| | - Robert O. Wright
- Department of Environmental Medicine and Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, New York City, New York
| | - Brent Coull
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
| | - Marie-France Hivert
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
- Diabetes Unit, Massachusetts General Hospital, Boston, Massachusetts
| | - Alan Hubbard
- Division of Biostatistics, School of Public Health and Center for Computational Biology, University of California, Berkeley, Berkeley, California
| | - Emily Oken
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
| | - Andres Cardenas
- Department of Epidemiology and Population Health, Stanford University, Stanford, CA
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Lin PID, Cardenas A, Rifas-Shiman SL, Zota AR, Hivert MF, Aris IM, Sanders AP. Non-essential and essential trace element mixtures and kidney function in early pregnancy - A cross-sectional analysis in project viva. Environ Res 2023; 216:114846. [PMID: 36402181 PMCID: PMC9732973 DOI: 10.1016/j.envres.2022.114846] [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] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Revised: 10/21/2022] [Accepted: 11/15/2022] [Indexed: 06/16/2023]
Abstract
Some trace elements are established nephrotoxicants, yet their associations with kidney function remain understudied in the context of pregnancy, a time of substantial change in kidney physiology and function. We aimed to estimate the individual and joint associations of trace element mixtures with maternal kidney function during the 1st trimester of pregnancy (mean 9.7 gestational weeks). 1040 women from Project Viva contributed blood samples which were assessed for erythrocyte non-essential [arsenic (As), cadmium (Cd), cesium (Cs), mercury (Hg), lead (Pb)] and essential [barium (Ba), magnesium (Mg), manganese (Mn), selenium (Se), and Zinc (Zn)] trace elements, and plasma creatinine for kidney function. We estimated glomerular filtration rate using the Chronic Kidney Disease Epidemiology Collaboration (eGFRCKD-EPI) equation without race-adjustment factors. We examined associations of eGFRCKD-EPI with individual trace elements using multivariable linear regression and their mixtures using quantile-based g-computation, adjusting for sociodemographics, pregnancy characteristics, and diet. Participants in our study were predominantly White (75%), college graduates (72%), and had household income >$70,000/year (63%). After adjusting for covariates, higher Pb (β -3.51 ml/min/1.73 m2; 95% CI -5.83, -1.18) concentrations were associated with lower eGFRCKD-EPI, while higher Mg (β 10.53 ml/min/1.73 m2; 95% CI 5.35, 15.71), Se (β 5.56 ml/min/1.73 m2; 95% CI 0.82, 10.31), and Zn (β 5.88 ml/min/1.73 m2; 95% CI 0.51, 11.26) concentrations were associated with higher eGFRCKD-EPI. In mixture analyses, higher non-essential trace elements mixture concentration was associated with reduced eGFRCKD-EPI (Ψ -1.03 ml/min/1.73 m2; 95% CI: 1.92, -0.14). Conversely, higher essential trace elements mixture concentration was associated with higher eGFR (Ψ 1.42; 95% CI: 0.48, 2.37). Exposure to trace elements in early pregnancy may influence women's kidney function although reverse causation cannot be eliminated in this cross-sectional analysis. These findings have important implications for long-term cardiovascular and postpartum kidney health that warrant additional studies.
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Affiliation(s)
- Pi-I D Lin
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA.
| | - Andres Cardenas
- Department of Epidemiology and Population Health, Stanford University, Stanford, CA, USA.
| | - Sheryl L Rifas-Shiman
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA.
| | - Ami R Zota
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA.
| | - Marie-France Hivert
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA; Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA.
| | - Izzuddin M Aris
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA.
| | - Alison P Sanders
- Environmental and Occupational Health, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA.
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Rokoff LB, Cardenas A, Lin PID, Rifas-Shiman SL, Wright RO, Bosquet Enlow M, Coull BA, Oken E, Korrick SA. Early pregnancy essential and non-essential metal mixtures and maternal antepartum and postpartum depressive symptoms. Neurotoxicology 2023; 94:206-216. [PMID: 36526156 PMCID: PMC9839522 DOI: 10.1016/j.neuro.2022.12.005] [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: 06/13/2022] [Revised: 11/20/2022] [Accepted: 12/09/2022] [Indexed: 12/15/2022]
Abstract
BACKGROUND Mood disorders are common during and after pregnancy, and environmental metals may contribute to increased risk. Antepartum metal exposures have not been well characterized in relation to maternal depression. We evaluated the extent to which early pregnancy erythrocyte concentrations of essential and non-essential metals were prospectively associated with antepartum and postpartum depressive symptoms. METHODS Participants were 1226 women in Project Viva, a longitudinal cohort recruited during pregnancy (1999-2002). We measured concentrations of 11 metals in maternal first trimester erythrocytes (arsenic, barium, cadmium, cesium, copper, mercury, magnesium, manganese, lead, selenium, zinc). Using the Edinburgh Postnatal Depression Scale (EPDS), we assessed elevated depressive symptoms (≥13; 0-30 scale) at mid-pregnancy and at 6 and 12 months postpartum. We applied latent class mixed modeling to identify symptom trajectories. Adjusting for maternal sociodemographics and co-exposures, we examined associations between the metal mixture and depressive symptoms using logistic (for EPDS≥13)/multinomial (for symptom trajectories) regression and quantile g-computation. RESULTS In this cohort of moderately high socioeconomic status participants (e.g., 72 % college graduate), low-level metal concentrations were weakly to moderately correlated (Spearman: -0.24 to 0.59); the prevalence of depressive symptoms ranged from 9 % (mid-pregnancy) to 6 % (12 months postpartum); and three trajectories (stable low; elevated mid-pregnancy, then decreasing; moderate mid-pregnancy, then increasing) best fit the EPDS data. The early pregnancy erythrocyte metal mixture was not associated with maternal depressive symptoms in logistic, multinomial, or mixture models. For individual metals, most confidence intervals (CI) included the null. There was weak evidence that arsenic, lead, and selenium were moderately associated with elevated odds of depressive symptoms and/or trajectories. However, the odds ratios (95 % CI) per doubling of these three metals were imprecise [e.g., arsenic: 1.13 (0.94, 1.40) for EPDS≥13 at six months postpartum; lead: 1.19 (0.80, 1.77) for EPDS≥13 at mid-pregnancy; selenium: 2.35 (0.84, 6.57) for elevated mid-pregnancy, then decreasing versus stable low trajectory]. DISCUSSION We did not observe strong, consistent evidence of associations between early pregnancy erythrocyte metal concentrations and subsequent maternal antepartum and postpartum depressive symptoms.
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Affiliation(s)
- Lisa B Rokoff
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Population Health Sciences Program, Harvard University, Cambridge, MA, USA.
| | - Andres Cardenas
- Department of Epidemiology and Population Health, Stanford University, Stanford, CA, USA
| | - Pi-I D Lin
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Sheryl L Rifas-Shiman
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Robert O Wright
- Department of Environmental Medicine and Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Michelle Bosquet Enlow
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA; Department of Psychiatry and Behavioral Sciences, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Brent A Coull
- Department of Environmental Health, 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
| | - Emily Oken
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Susan A Korrick
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
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Choudhary D, Rideout TC, Cameron CE, Lehman HK, Oken E, Rifas-Shiman SL, Wen X. Egg Introduction during Infancy is Associated with Lower Fat Mass Index in Females at Early Adolescence. J Nutr 2023; 153:158-166. [PMID: 36913449 PMCID: PMC10196582 DOI: 10.1016/j.tjnut.2022.11.003] [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: 07/21/2022] [Revised: 10/07/2022] [Accepted: 11/09/2022] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Egg consumption may play an important role in early-life growth given their high-quality protein, essential fatty acids, and micronutrients. OBJECTIVES Study objectives were to examine the longitudinal associations of infant age at egg introduction with obesity outcomes in early childhood, middle childhood (mid-childhood), and early adolescence. METHODS We used existing data from 1089 mother-child dyads from Project Viva to estimate age at egg introduction through a questionnaire completed by mothers at ∼1 y postpartum (mean ± SD, 13.3 ± 1.2 mo). Outcome measures included height and weight (early childhood, mid-childhood, and early adolescence), body composition including total fat mass, trunk fat mass, and lean mass (mid-childhood and early adolescence), and plasma adiponectin and leptin (early and mid-childhood and early adolescence). We defined childhood obesity as sex- and age-specific BMI ≥ 95th percentile. We estimated the associations of infant age at egg introduction with risk of obesity using multivariable logistic regression and multivariable linear regression models for BMI-z-score, body composition measures, and adiposity hormones; adjusted for maternal prepregnancy BMI and sociodemographics. RESULTS Among females, those introduced to egg by the 1-y survey had a lower total fat mass index (confounder-adjusted mean difference, -1.23 kg/m2; 95% CI: -2.14, -0.31), and trunk fat mass index (confounder-adjusted mean difference, -0.57 kg/m2; 95% CI: -1.01, -0.12) in early adolescence compared to those not introduced (reference group). However, no associations between infant age at egg introduction and risk of obesity were observed among males (confounder-adjusted odd ratio [aOR], 1.97; 95% CI: 0.90, 4.30) or females (aOR, 0.68; 95% CI: 0.38, 1.24) across all ages. Egg introduction in infancy was associated with lower plasma adiponectin among females (confounder-adjusted mean difference, -1.93 μg/mL; 95% CI: -3.70, -0.16) in early childhood only. CONCLUSIONS Egg introduction during infancy among females is associated with lower total fat mass index in early adolescence and plasma adiponectin in early childhood. This trial was registered at clinicaltrials.gov as NCT02820402.
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Affiliation(s)
- Divya Choudhary
- Division of Behavioral Medicine, Department of Pediatrics, Jacobs School of Medicine and Biomedical Sciences, State University of New York at Buffalo, Buffalo, NY, USA; Department of Exercise and Nutrition Sciences, School of Public Health and Health Professions, State University of New York at Buffalo, Buffalo, NY, USA
| | - Todd C Rideout
- Department of Exercise and Nutrition Sciences, School of Public Health and Health Professions, State University of New York at Buffalo, Buffalo, NY, USA
| | - Claire E Cameron
- Department of Learning & Instruction, Graduate School of Education, State University of New York at Buffalo, Buffalo, NY, USA
| | - Heather K Lehman
- Division of Allergy/Immunology, Department of Pediatrics, Jacobs School of Medicine and Biomedical Sciences, State University of New York at Buffalo, John R. Oishei Children's Hospital, Buffalo, NY, USA
| | - Emily Oken
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Sheryl L Rifas-Shiman
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Xiaozhong Wen
- Division of Behavioral Medicine, Department of Pediatrics, Jacobs School of Medicine and Biomedical Sciences, State University of New York at Buffalo, Buffalo, NY, USA.
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Martone GM, Lehman HK, Rideout TC, Choudhary D, Cameron CE, Oken E, Rifas-Shiman SL, Camargo CA, Gold DR, Wen X. Delayed egg introduction beyond infancy and increased egg allergy risk in childhood. J Paediatr Child Health 2023; 59:53-57. [PMID: 36190149 PMCID: PMC9839483 DOI: 10.1111/jpc.16234] [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: 01/29/2022] [Revised: 05/27/2022] [Accepted: 09/20/2022] [Indexed: 01/17/2023]
Abstract
AIM Egg is a major food allergen in childhood. Recent studies suggest that early introduction of allergenic foods can decrease the risk of developing egg allergy. The impact of early egg introduction in the general population is unclear. We examined associations between age of infant egg introduction and childhood egg allergy outcomes in a general population. METHODS The study population consisted of 1217 neonates from Project Viva, a longitudinal pre-birth cohort in eastern Massachusetts area, USA. Mothers reported age of infant egg introduction and child egg allergy using questionnaires and specific IgE to egg white was assayed. We estimated associations between age of infant egg introduction and egg allergy outcomes using Log-binomial regression models, adjusting for socio-demographics and health confounders. RESULTS Egg allergy at 2 years was significantly higher (8.0% vs. 1.4%, P < 0.0001) in children who had delayed egg introduction beyond infancy, compared with children who were introduced to egg during infancy (adjusted relative risk or aRR 7.58; 95% CI 3.08, 18.61). At 12 years, the risk of egg allergy remained significantly higher (3.9% vs. 1.1%, P = 0.048) in children with delayed egg introduction compared with children introduced to egg during infancy (aRR 4.07; 95% CI 1.20, 13.87). CONCLUSIONS Infants with delayed introduction of eggs after 12 months had increased risk of egg allergy in childhood (2 years) and the relationship persisted in early adolescence (12 years). Our findings suggest that introduction to eggs before 12 months could contribute to the prevention of egg allergy.
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Affiliation(s)
- Giulia M. Martone
- Division of Allergy/Immunology, Department of Pediatrics, Jacobs School of Medicine and Biomedical Sciences, State University of New York at Buffalo, John R. Oishei Children's Hospital, Buffalo, New York
| | - Heather K. Lehman
- Division of Allergy/Immunology, Department of Pediatrics, Jacobs School of Medicine and Biomedical Sciences, State University of New York at Buffalo, John R. Oishei Children's Hospital, Buffalo, New York
| | - Todd C. Rideout
- Department of Exercise and Nutrition Sciences, School of Public Health and Health Professions, State University of New York at Buffalo, Buffalo, New York
| | - Divya Choudhary
- Department of Exercise and Nutrition Sciences, School of Public Health and Health Professions, State University of New York at Buffalo, Buffalo, New York
- Division of Behavioral Medicine, Department of Pediatrics, Jacobs School of Medicine and Biomedical Sciences, State University of New York at Buffalo, Buffalo, New York
| | - Claire E. Cameron
- Department of Learning & Instruction, Graduate School of Education, State University of New York at Buffalo, Buffalo, New York
| | - Emily Oken
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, Massachusetts
| | - Sheryl L. Rifas-Shiman
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, Massachusetts
| | - Carlos A. Camargo
- Department of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
| | - Diane R. Gold
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
| | - Xiaozhong Wen
- Division of Behavioral Medicine, Department of Pediatrics, Jacobs School of Medicine and Biomedical Sciences, State University of New York at Buffalo, Buffalo, New York
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Qureshi F, Aris IM, Rifas-Shiman SL, Perng W, Oken E, Rich-Edwards J, Cardenas A, Baccarelli AA, Enlow MB, Belfort MB, Tiemeier H. Associations of cord blood leukocyte telomere length with adiposity growth from infancy to adolescence. Pediatr Obes 2023; 18:e12977. [PMID: 36085441 PMCID: PMC9772131 DOI: 10.1111/ijpo.12977] [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: 01/13/2022] [Revised: 08/09/2022] [Accepted: 08/15/2022] [Indexed: 01/09/2023]
Abstract
OBJECTIVE Leukocyte telomere length (LTL) may be a biomarker for chronic disease susceptibility, but no work has tested this hypothesis directly. Our study investigated associations of LTL at birth with markers of adiposity growth that are linked with cardiometabolic health later in life. METHODS Participants were 375 children in Project Viva (48% female, 71% White). Body mass index (BMI) trajectories from birth to 18 years were tracked using repeated measures of BMI collected in physical examinations and via medical records, then used to predict age (months) and magnitude (kg/m2 ) of BMI peak and rebound. LTL was measured from cord blood via duplex quantitative PCR. A binary variable indicating LTL shorter than the reference population average was the primary exposure. RESULTS LTL was unrelated to BMI at peak or rebound, but associations were apparent with the timing of BMI growth milestones. Short LTL was related to a later age of peak for females (β = 0.99, 95% CI = 0.16, 1.82; psex interaction = 0.015) and an earlier age of rebound for both males and females (βcombined = -5.26, 95% CI = -9.44, -1.08). CONCLUSION LTL at birth may be an early biomarker of altered adiposity growth. Newborn telomere biology may shed new insight into the developmental origins of health and disease.
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Affiliation(s)
- Farah Qureshi
- Department of Population, Family and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Izzuddin M Aris
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA
| | - Sheryl L Rifas-Shiman
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA
| | - Wei Perng
- Department of Epidemiology, Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Emily Oken
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Janet Rich-Edwards
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Division of Women's Health, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Andres Cardenas
- Division of Environmental Health Sciences, University of California Berkeley School of Public Health, Berkeley, California, USA
- Center for Computational Biology, University of California Berkeley, Berkeley, California, USA
| | - Andrea A Baccarelli
- Laboratory of Environmental Epigenetics, Departments of Environmental Health Sciences and Epidemiology, Columbia University Mailman School of Public Health, New York, New York, USA
| | - Michelle Bosquet Enlow
- Department of Psychiatry and Behavioral Sciences, Boston Children's Hospital, Boston, Massachusetts, USA
- Department of Psychiatry, Harvard Medical School, Boston, Massachusetts, USA
| | - Mandy B Belfort
- Department of Pediatric Newborn Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Henning Tiemeier
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
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Lin PID, Rifas-Shiman SL, Aris IM, Daley MF, Janicke DM, Heerman WJ, Chudnov DL, Freedman DS, Block JP. Cleaning of anthropometric data from PCORnet electronic health records using automated algorithms. JAMIA Open 2022; 5:ooac089. [PMID: 36339053 PMCID: PMC9629892 DOI: 10.1093/jamiaopen/ooac089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Revised: 09/30/2022] [Accepted: 10/14/2022] [Indexed: 11/06/2022] Open
Abstract
Objective To demonstrate the utility of growthcleanr, an anthropometric data cleaning method designed for electronic health records (EHR). Materials and Methods We used all available pediatric and adult height and weight data from an ongoing observational study that includes EHR data from 15 healthcare systems and applied growthcleanr to identify outliers and errors and compared its performance in pediatric data with 2 other pediatric data cleaning methods: (1) conditional percentile (cp) and (2) PaEdiatric ANthropometric measurement Outlier Flagging pipeline (peanof). Results 687 226 children (<20 years) and 3 267 293 adults contributed 71 246 369 weight and 51 525 487 height measurements. growthcleanr flagged 18% of pediatric and 12% of adult measurements for exclusion, mostly as carried-forward measures for pediatric data and duplicates for adult and pediatric data. After removing the flagged measurements, 0.5% and 0.6% of the pediatric heights and weights and 0.3% and 1.4% of the adult heights and weights, respectively, were biologically implausible according to the CDC and other established cut points. Compared with other pediatric cleaning methods, growthcleanr flagged the most measurements for exclusion; however, it did not flag some more extreme measurements. The prevalence of severe pediatric obesity was 9.0%, 9.2%, and 8.0% after cleaning by growthcleanr, cp, and peanof, respectively. Conclusion growthcleanr is useful for cleaning pediatric and adult height and weight data. It is the only method with the ability to clean adult data and identify carried-forward and duplicates, which are prevalent in EHR. Findings of this study can be used to improve the growthcleanr algorithm.
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Affiliation(s)
- Pi-I D Lin
- Corresponding Author: Pi-I D. Lin, ScD, MS, Division of Chronic Disease Research Across the Lifecourse (CoRAL), Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, 401 Park Drive, Suite 401, Boston, MA 02215, USA;
| | - Sheryl L Rifas-Shiman
- Division of Chronic Disease Research Across the Lifecourse (CoRAL), Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA
| | - Izzuddin M Aris
- Division of Chronic Disease Research Across the Lifecourse (CoRAL), Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA
| | - Matthew F Daley
- Institute for Health Research, Kaiser Permanente Colorado, Aurora, Colorado, USA
| | - David M Janicke
- Department of Clinical and Health Psychology, University of Florida, Gainesville, Florida, USA
| | - William J Heerman
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | | | - David S Freedman
- Division of Nutrition, Physical Activity, and Obesity, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Jason P Block
- Division of Chronic Disease Research Across the Lifecourse (CoRAL), Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA
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Küpers LK, Fernández-Barrés S, Nounu A, Friedman C, Fore R, Mancano G, Dabelea D, Rifas-Shiman SL, Mulder RH, Oken E, Johnson L, Bustamante M, Jaddoe VW, Hivert MF, Starling AP, de Vries JH, Sharp GC, Vrijheid M, Felix JF. Maternal Mediterranean diet in pregnancy and newborn DNA methylation: a meta-analysis in the PACE Consortium. Epigenetics 2022; 17:1419-1431. [PMID: 35236238 PMCID: PMC9586614 DOI: 10.1080/15592294.2022.2038412] [Citation(s) in RCA: 6] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2021] [Revised: 01/20/2022] [Accepted: 02/01/2022] [Indexed: 11/29/2022] Open
Abstract
Higher adherence to the Mediterranean diet during pregnancy is related to a lower risk of preterm birth and to better offspring cardiometabolic health. DNA methylation may be an underlying biological mechanism. We evaluated whether maternal adherence to the Mediterranean diet was associated with offspring cord blood DNA methylation.We meta-analysed epigenome-wide association studies (EWAS) of maternal adherence to the Mediterranean diet during pregnancy and offspring cord blood DNA methylation in 2802 mother-child pairs from five cohorts. We calculated the relative Mediterranean diet (rMED) score with range 0-18 and an adjusted rMED excluding alcohol (rMEDp, range 0-16). DNA methylation was measured using Illumina 450K arrays. We used robust linear regression modelling adjusted for child sex, maternal education, age, smoking, body mass index, energy intake, batch, and cell types. We performed several functional analyses and examined the persistence of differential DNA methylation into childhood (4.5-7.8 y).rMEDp was associated with cord blood DNA methylation at cg23757341 (0.064% increase in DNA methylation per 1-point increase in the rMEDp score, SE = 0.011, P = 2.41 × 10-8). This cytosine-phosphate-guanine (CpG) site maps to WNT5B, associated with adipogenesis and glycaemic phenotypes. We did not identify associations with childhood gene expression, nor did we find enriched biological pathways. The association did not persist into childhood.In this meta-analysis, maternal adherence to the Mediterranean diet (excluding alcohol) during pregnancy was associated with cord blood DNA methylation level at cg23757341. Potential mediation of DNA methylation in associations with offspring health requires further study.
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Affiliation(s)
- Leanne K. Küpers
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Sílvia Fernández-Barrés
- ISGlobal, Institute for Global Health, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- Ciber Epidemiología Y Salud Pública (Ciberesp), Spain
| | - Aayah Nounu
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Bristol Medical School Population Health Sciences, University of Bristol, Bristol, UK
| | - Chloe Friedman
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
- Lifecourse Epidemiology of Adiposity and Diabetes (Lead) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Ruby Fore
- Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Giulia Mancano
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Bristol Medical School Population Health Sciences, University of Bristol, Bristol, UK
| | - Dana Dabelea
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
- Lifecourse Epidemiology of Adiposity and Diabetes (Lead) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Department of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Sheryl L. Rifas-Shiman
- Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Rosa H. Mulder
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Emily Oken
- Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Laura Johnson
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Centre for Exercise, Nutrition and Health Sciences, University of Bristol, Bristol, UK
| | - Mariona Bustamante
- ISGlobal, Institute for Global Health, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- Ciber Epidemiología Y Salud Pública (Ciberesp), Spain
| | - Vincent W.V. Jaddoe
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Marie-France Hivert
- Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA, USA
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Anne P. Starling
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
- Lifecourse Epidemiology of Adiposity and Diabetes (Lead) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Jeanne H.M. de Vries
- Division of Human Nutrition and Health, Wageningen University, Wageningen, The Netherlands
| | - Gemma C. Sharp
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Bristol Medical School Population Health Sciences, University of Bristol, Bristol, UK
| | - Martine Vrijheid
- ISGlobal, Institute for Global Health, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- Ciber Epidemiología Y Salud Pública (Ciberesp), Spain
| | - Janine F. Felix
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
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Jimenez MP, Suel E, Rifas-Shiman SL, Hystad P, Larkin A, Hankey S, Just AC, Redline S, Oken E, James P. Street-view greenspace exposure and objective sleep characteristics among children. Environ Res 2022; 214:113744. [PMID: 35760115 PMCID: PMC9930007 DOI: 10.1016/j.envres.2022.113744] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Revised: 05/19/2022] [Accepted: 06/19/2022] [Indexed: 05/19/2023]
Abstract
Greenspace may benefit sleep by enhancing physical activity, reducing stress or air pollution exposure. Studies on greenspace and children's sleep are limited, and most use satellite-derived measures that do not capture ground-level exposures that may be important for sleep. We examined associations of street view imagery (SVI)-based greenspace with sleep in Project Viva, a Massachusetts pre-birth cohort. We used deep learning algorithms to derive novel metrics of greenspace (e.g., %trees, %grass) from SVI within 250m of participant residential addresses during 2007-2010 (mid-childhood, mean age 7.9 years) and 2012-2016 (early adolescence, 13.2y) (N = 533). In early adolescence, participants completed >5 days of wrist actigraphy. Sleep duration, efficiency, and time awake after sleep onset (WASO) were derived from actigraph data. We used linear regression to examine cross-sectional and prospective associations of mid-childhood and early adolescence greenspace exposure with early adolescence sleep, adjusting for confounders. We compared associations with satellite-based greenspace (Normalized Difference Vegetation Index, NDVI). In unadjusted models, mid-childhood SVI-based total greenspace and %trees (per interquartile range) were associated with longer sleep duration at early adolescence (9.4 min/day; 95%CI:3.2,15.7; 8.1; 95%CI:1.7,14.6 respectively). However, in fully adjusted models, only the association between %grass at mid-childhood and WASO was observed (4.1; 95%CI:0.2,7.9). No associations were observed between greenspace and sleep efficiency, nor in cross-sectional early adolescence models. The association between greenspace and sleep differed by racial and socioeconomic subgroups. For example, among Black participants, higher NDVI was associated with better sleep, in neighborhoods with low socio-economic status (SES), higher %grass was associated with worse sleep, and in neighborhoods with high SES, higher total greenspace and %grass were associated with better sleep time. SVI metrics may have the potential to identify specific features of greenspace that affect sleep.
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Affiliation(s)
- Marcia P Jimenez
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA.
| | - Esra Suel
- Faculty of Medicine, School of Public Health, Imperial College London, London, UK
| | - Sheryl L Rifas-Shiman
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Perry Hystad
- College of Public Health and Human Sciences, Oregon State University, Corvallis, OR, USA
| | - Andrew Larkin
- College of Public Health and Human Sciences, Oregon State University, Corvallis, OR, USA
| | - Steve Hankey
- School of Public and International Affairs, Virginia Tech University, Blacksburg, VA, USA
| | - Allan C Just
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Susan Redline
- Brigham and Women's Faulkner Hospital, Sleep Medicine and Endocrinology Center, Boston, MA, USA
| | - Emily Oken
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Peter James
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA; Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
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Faleschini S, Tiemeier H, Rifas-Shiman SL, Rich-Edwards J, Joffe H, Perng W, Shifren J, Chavarro JE, Hivert MF, Oken E. Longitudinal associations of psychosocial stressors with menopausal symptoms and well-being among women in midlife. Menopause 2022; 29:1247-1253. [PMID: 36099555 PMCID: PMC9613623 DOI: 10.1097/gme.0000000000002056] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
OBJECTIVE We examined longitudinal associations of psychosocial stressors with menopausal symptoms and well-being of women in midlife in a longitudinal cohort. METHODS This study is based on 682 women from Project Viva, a prospective cohort enrolled in 1999 to 2002 during pregnancy (median age = 33.3 y) and followed for almost two decades. In pregnancy, women self-reported psychosocial stressors (history of physical and sexual abuse and financial instability, from childhood to the current pregnancy). In 2017 to 2021 (median age, 51.6 y), they reported their menopausal symptoms (0-44 point scale) and well-being (general health [good/fair/poor vs excellent/very good], generalized anxiety symptoms, and depressive symptoms [both-more than minimal levels vs none/minimal]). We performed multivariable and logistic regression models to examine associations of psychosocial stressors with outcomes, adjusting for covariates. RESULTS History of physical abuse (reported by 37.3%) was associated with worse menopausal symptoms in the somatovegetative (odds ratio [OR], 0.46 points; 95% confidence interval [CI], 0.04-0.87 points) and psychological (OR, 0.52 points; 95% CI, 0.07-0.97 points) domains and with worse general health (OR, 1.73; 95% CI, 1.17-2.55) and greater depressive symptoms (OR, 1.74; 95% CI, 1.05-2.87). History of sexual abuse (7.7%) was associated with worse menopausal symptoms (OR, 2.81 points; 95% CI, 1.05-4.56) and worse general health (OR, 2.04; 95% CI, 1.04-4.03) but not with depressive symptoms. History of financial instability (10.8%) was associated with worse menopausal symptoms (1.92 points; 0.49 to 3.34), worse general health (OR, 2.16; 95% CI, 1.24-3.75), and greater depressive symptoms (OR, 2.68; 95% CI, 1.44-4.98). We observed no association between psychosocial stressors and generalized anxiety symptoms assessed at midlife. CONCLUSIONS Psychosocial stressors were associated with worse menopausal symptoms and well-being decades after initial report.
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Affiliation(s)
- Sabrina Faleschini
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Henning Tiemeier
- Department of Social and Behavioral Science, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Sheryl L. Rifas-Shiman
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Janet Rich-Edwards
- Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA
- Division of Women’s Health, Brigham and Women’s Hospital, Boston, MA, USA
- Connors Center for Women’s Health and Gender Biology, Brigham and Women’s Hospital, Boston, MA, USA
| | - Hadine Joffe
- Connors Center for Women’s Health and Gender Biology, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Psychiatry, Brigham and Women’s Hospital, Boston, MA, USA
| | - Wei Perng
- Department of Epidemiology, Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Jan Shifren
- Department of Obstetrics, Gynecology and Reproductive Biology, Massachusetts General Hospital, Boston, MA, USA
| | - Jorge E. Chavarro
- Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Marie-France Hivert
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Emily Oken
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA
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