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Aris IM, Lin PID, Wu AJ, Dabelea D, Lester BM, Wright RJ, Karagas MR, Kerver JM, Dunlop AL, Joseph CL, Camargo CA, Ganiban JM, Schmidt RJ, Strakovsky RS, McEvoy CT, Hipwell AE, O'Shea TM, McCormack LA, Maldonado LE, Niu Z, Ferrara A, Zhu Y, Chehab RF, Kinsey EW, Bush NR, Nguyen RH, Carroll KN, Barrett ES, Lyall K, Sims-Taylor LM, Trasande L, Biagini JM, Breton CV, Patti MA, Coull B, Amutah-Onukagha N, Hacker MR, James-Todd T, Oken E. Birth outcomes in relation to neighborhood food access and individual food insecurity during pregnancy in the Environmental Influences on Child Health Outcomes (ECHO)-wide cohort study. Am J Clin Nutr 2024; 119:1216-1226. [PMID: 38431121 PMCID: PMC11130689 DOI: 10.1016/j.ajcnut.2024.02.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Revised: 02/21/2024] [Accepted: 02/26/2024] [Indexed: 03/05/2024] Open
Abstract
BACKGROUND Limited access to healthy foods, resulting from residence in neighborhoods with low-food access or from household food insecurity, is a public health concern. Contributions of these measures during pregnancy to birth outcomes remain understudied. OBJECTIVES We examined associations between neighborhood food access and individual food insecurity during pregnancy with birth outcomes. METHODS We used data from 53 cohorts participating in the nationwide Environmental Influences on Child Health Outcomes-Wide Cohort Study. Participant inclusion required a geocoded residential address or response to a food insecurity question during pregnancy and information on birth outcomes. Exposures include low-income-low-food-access (LILA, where the nearest supermarket is >0.5 miles for urban or >10 miles for rural areas) or low-income-low-vehicle-access (LILV, where few households have a vehicle and >0.5 miles from the nearest supermarket) neighborhoods and individual food insecurity. Mixed-effects models estimated associations with birth outcomes, adjusting for socioeconomic and pregnancy characteristics. RESULTS Among 22,206 pregnant participants (mean age 30.4 y) with neighborhood food access data, 24.1% resided in LILA neighborhoods and 13.6% in LILV neighborhoods. Of 1630 pregnant participants with individual-level food insecurity data (mean age 29.7 y), 8.0% experienced food insecurity. Residence in LILA (compared with non-LILA) neighborhoods was associated with lower birth weight [β -44.3 g; 95% confidence interval (CI): -62.9, -25.6], lower birth weight-for-gestational-age z-score (-0.09 SD units; -0.12, -0.05), higher odds of small-for-gestational-age [odds ratio (OR) 1.15; 95% CI: 1.00, 1.33], and lower odds of large-for-gestational-age (0.85; 95% CI: 0.77, 0.94). Similar findings were observed for residence in LILV neighborhoods. No associations of individual food insecurity with birth outcomes were observed. CONCLUSIONS Residence in LILA or LILV neighborhoods during pregnancy is associated with adverse birth outcomes. These findings highlight the need for future studies examining whether investing in neighborhood resources to improve food access during pregnancy would promote equitable birth outcomes.
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Affiliation(s)
- Izzuddin M Aris
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, United States.
| | - Pi-I D Lin
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, United States
| | - Allison J Wu
- Division of Gastroenterology, Hepatology and Nutrition, Boston Children's Hospital, Harvard Medical School, Boston, MA, United States
| | - Dana Dabelea
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, United States; Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, United States; Department of Pediatrics, Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Barry M Lester
- Department of Pediatrics, Warren Alpert Medical School of Brown University, Providence, RI, United States
| | - Rosalind J Wright
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Margaret R Karagas
- Department of Epidemiology, Dartmouth Geisel School of Medicine, Hanover, NH, United States
| | - Jean M Kerver
- Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI, United States
| | - Anne L Dunlop
- Department of Gynecology and Obstetrics, Emory University School of Medicine, Atlanta, GA, United States
| | - Christine Lm Joseph
- Department of Public Health Sciences, Henry Ford Health System, Detroit, MI, United States
| | - Carlos A Camargo
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Department of Medicine, Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States; Department of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Jody M Ganiban
- Department of Psychological and Brain Sciences, George Washington University, Washington, DC, United States
| | - Rebecca J Schmidt
- Department of Public Health Sciences, School of Medicine, University of California Davis, Davis, CA, United States
| | - Rita S Strakovsky
- Department of Food Science and Human Nutrition, Michigan State University, East Lansing, MI, United States
| | - Cindy T McEvoy
- Department of Pediatrics, Oregon Health & Science University, Portland, OR, United States
| | - Alison E Hipwell
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, United States
| | - Thomas Michael O'Shea
- Department of Pediatrics, University of North Carolina, Chapel Hill, NC, United States
| | - Lacey A McCormack
- Avera Research Institute, Sioux Falls, SD, United States; Department of Pediatrics, University of South Dakota School of Medicine, Sioux Falls, SD, United States
| | - Luis E Maldonado
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
| | - Zhongzheng Niu
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
| | - Assiamira Ferrara
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, United States
| | - Yeyi Zhu
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, United States
| | - Rana F Chehab
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, United States
| | - Eliza W Kinsey
- Department of Family Medicine & Community Health, Perelman School of Medicine, University of Pennsylvania, PA, United States
| | - Nicole R Bush
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, CA, United States; Department of Pediatrics, University of California, San Francisco, CA, United States
| | - Ruby Hn Nguyen
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, MN, United States
| | - Kecia N Carroll
- Division of General Pediatrics, Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Emily S Barrett
- Department of Biostatistics and Epidemiology, Rutgers School of Public Health, Piscataway, NJ, United States
| | - Kristen Lyall
- AJ Drexel Autism Institute, Drexel University, Philadelphia, PA, United States
| | - Lauren M Sims-Taylor
- Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis, TN, United States
| | - Leonardo Trasande
- Department of Pediatrics, New York University Grossman School of Medicine, New York, NY, United States
| | - Jocelyn M Biagini
- Division of Asthma Research, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States; Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, United States
| | - Carrie V Breton
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
| | - Marisa A Patti
- AJ Drexel Autism Institute, Drexel University, Philadelphia, PA, United States
| | - Brent Coull
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Ndidiamaka Amutah-Onukagha
- Department of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA, United States
| | - Michele R Hacker
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Department of Obstetrics and Gynecology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States
| | - Tamarra James-Todd
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Emily Oken
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, United States
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Zamani-Hank Y, Brincks A, Talge NM, Slaughter-Acey J, Margerison C. The Association Between Adverse Childhood Experiences and Preterm Delivery: A Latent Class Approach. J Womens Health (Larchmt) 2024; 33:522-531. [PMID: 38457646 PMCID: PMC11250838 DOI: 10.1089/jwh.2023.0196] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/10/2024] Open
Abstract
Background: Racial and socioeconomic status (SES) disparities in preterm delivery (PTD) have existed in the United States for decades. Disproportionate maternal exposures to adverse childhood experiences (ACEs) may increase the risk for adverse birth outcomes. Moreover, racial and SES disparities exist in the prevalence of ACEs, underscoring the need for research that examines whether ACEs contribute to racial and SES disparities in PTD. Methods: We examined the relationship between ACEs and PTD in a longitudinal sample of N = 3,884 women from the National Longitudinal Study of Adolescent to Adult Health (1994-2018). We applied latent class analysis to (1) identify subgroups of women characterized by patterns of ACE occurrence; (2) estimate the association between latent class membership (LCM) and PTD, and (3) examine whether race and SES influence LCM or the association between LCM and PTD. Results: Two latent classes were identified, with women in the high ACEs class characterized by a higher probability of emotional abuse, physical abuse, sexual abuse, and foster care placement compared with the low ACEs class, but neither class was associated with PTD. Race and SES did not predict LCM. Conclusions: Our findings suggest that ACEs may not impact PTD risk in previously hypothesized ways. Future research should assess the impact of ACEs on the probability of having live birth pregnancies as well as the role of potential protective factors in mitigating the impact of ACEs on PTD.
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Affiliation(s)
- Yasamean Zamani-Hank
- Department of Epidemiology and Biostatistics, College of Human Medicine, Michigan State University, East Lansing, Michigan, USA
| | - Ahnalee Brincks
- Department of Human Development and Family Studies, Michigan State University, East Lansing, Michigan, USA
| | - Nicole M. Talge
- Department of Epidemiology and Biostatistics, College of Human Medicine, Michigan State University, East Lansing, Michigan, USA
| | - Jaime Slaughter-Acey
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Claire Margerison
- Department of Epidemiology and Biostatistics, College of Human Medicine, Michigan State University, East Lansing, Michigan, USA
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Harville EW, Hakala JO, Rovio SP, Pahkala K, Raitakari O, Lehtimäki T. Trajectories of cardiovascular risk predict pregnancy outcomes: The Bogalusa Heart Study and the Cardiovascular Risk in Young Finns Study. Paediatr Perinat Epidemiol 2024; 38:168-179. [PMID: 37432549 PMCID: PMC10782826 DOI: 10.1111/ppe.12995] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2022] [Revised: 06/16/2023] [Accepted: 06/21/2023] [Indexed: 07/12/2023]
Abstract
BACKGROUND Life course patterns of change in risk-trajectories-affect health. OBJECTIVES To examine how trajectories of cardiovascular risk factors are associated with pregnancy and birth outcomes. METHODS Data from two cohort studies participating in the International Childhood Cardiovascular Consortium-The Bogalusa Heart Study (BHS; started in 1973, N = 903 for this analysis) and the Cardiovascular Risk in Young Finns Study (YFS; started in 1980, N = 499) were used. Both followed children into adulthood and measured cardiovascular risk factors, including body mass index (BMI), systolic and diastolic blood pressure (SBP/DBP), total, lipoprotein (LDL)- and high density lipoprotein (HDL)-cholesterol and serum triglycerides. Discrete mixture modelling was used to divide each cohort into distinct trajectories according to these risk factors from childhood to early adulthood, and these groups were then used to predict pregnancy outcomes including small for gestational age (SGA; <10th study-specific percentile of gestational age by sex), preterm birth (PTB; <37 weeks' gestation), hypertensive disorders of pregnancy (HDP) and gestational diabetes mellitus (GDM), with control for age at baseline and at first birth, parity, socioeconomic status, BMI and smoking. RESULTS The models created more trajectories for BMI, SBP and HDL-cholesterol in the YFS than in BHS, for which three classes generally seemed to be sufficient to represent the groups in the population across risk factors. In BHS, the association between the higher and flatter DBP trajectory and PTB was aRR 1.77, 95% confidence interval [CI] 1.06, 2.96. In BHS the association between consistent total cholesterol and PTB was aRR 2.16, 95% CI 1.22, 3.85 and in YFS the association between elevated high trajectory and PTB was aRR 3.35, 95% CI 1.28, 8.79. Elevated-increasing SBP was associated with a higher risk of GH in BHS and increasing or persistent-obese BMI trajectories were associated with GDM in both cohorts (BHS: aRR 3.51, 95% CI 1.95, 6.30; YFS: aRR 2.61, 95% CI 0.96, 7.08). CONCLUSIONS Trajectories of cardiovascular risk, particularly those that represent a consistent or more rapid worsening of cardiovascular health, are associated with a higher risk of pregnancy complications.
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Affiliation(s)
- Emily W. Harville
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA
| | - Juuso O. Hakala
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
- Paavo Nurmi Centre, Sports & Exercise Medicine Unit, Department of Physical Activity and Health, University of Turku, Turku, Finland
| | - Suvi P. Rovio
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
| | - Katja Pahkala
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
- Paavo Nurmi Centre, Sports & Exercise Medicine Unit, Department of Physical Activity and Health, University of Turku, Turku, Finland
| | - Olli Raitakari
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories, Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere 33520 Finland
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Bond JC, Coleman CM, Yland JJ, Wesselink AK, Wang T, Willis M, Hatch EE, Rothman KJ, Savitz D, Eisenberg ML, Wise LA. Preconception sleep duration, non-daytime work schedules, and incidence of spontaneous abortion: a prospective cohort study. Hum Reprod 2024; 39:413-424. [PMID: 38059518 PMCID: PMC11491594 DOI: 10.1093/humrep/dead249] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Revised: 10/25/2023] [Indexed: 12/08/2023] Open
Abstract
STUDY QUESTION To what extent do self-reported sleep duration and non-daytime work schedules in either partner affect the rate of spontaneous abortion (SAB)? SUMMARY ANSWER Incidence of SAB had little association with female sleep duration and a modest positive association with male short sleep duration, female work at night, and discrepant work schedules among partners. WHAT IS KNOWN ALREADY Several studies have reported an association between short sleep duration in either partner and reproductive health outcomes, including fecundability. Moreover, certain types of female occupational exposures during pregnancy have been associated with an increased risk of SAB. No studies have evaluated SAB risk in relation to male sleep and work schedules, or joint exposures within a couple. STUDY DESIGN, SIZE, DURATION This prospective cohort study included 9357 female participants and 2602 of their male partners residing in North America (June 2013 to April 2023). PARTICIPANTS/MATERIALS, SETTING, METHODS Participants enrolled when they were attempting pregnancy and completed self-administered baseline questionnaires about their average sleep duration and work schedules. Among those who conceived, we ascertained SAB and gestational age at loss via follow-up questionnaires. We used multivariable Cox proportional hazards models with gestational weeks as the time scale to estimate hazard ratios (HRs) and 95% CIs relating SAB with sleep duration and non-daytime work schedules for female and male participants, and the couple. We used inverse probability weighting to account for potential selection bias due to the possibility of differential participation of male partners with respect to the exposures. MAIN RESULTS AND THE ROLE OF CHANCE Compared to female participants with recommended sleep (7-8.9 h), those reporting short sleep duration (<6 h) did not have a higher rate of SAB (HR 0.88, 95% CI 0.69, 1.13). Short self-reported sleep duration among male participants was modestly associated with a higher rate of SAB (adjusted and weighted HR 1.30, 95% CI 0.96, 1.75). Female night work at night (adjusted HR 1.19, 95% CI 1.02, 1.38) and male non-daytime work (adjusted and weighted HR 1.26, 95% CI 1.00, 1.59) were associated with modestly higher rates of SAB, whereas female rotating shift work was not (adjusted HR 0.91, 0.78, 1.05) compared with daytime workers. Couples in which work schedules were discrepant had an elevated rate of SAB if the male partner worked a non-daytime shift (adjusted and weighted HR 1.46, 95% CI 1.13, 1.88) compared with couples in which both members worked during the day. The corresponding HR if only the female partner worked a non-daytime shift was 1.21 (95% CI 0.92, 1.58). LIMITATIONS, REASONS FOR CAUTION Data on sleep duration and work schedules were based on self-report, which is vulnerable to misclassification, particularly since participants were asked to report their average sleep duration during the past month. Work exposures were heterogeneous, as many different types of employment may require night and shift work and may have different associations with SAB. WIDER IMPLICATIONS OF THE FINDINGS Our findings are consistent with previous research indicating that some types of female employment schedules may be associated with SAB incidence. This is the first study to indicate a relationship between SAB and male employment schedules, indicating that discrepant work schedules within a couple might be relevant. STUDY FUNDING/COMPETING INTEREST(S) This work was funded by the Eunice Kennedy Shriver National Institute of Child Health and Human Development grants R01HD105863 (PIs: L.A.W. and M.L.E.), R01HD086742 (PIs: L.A.W. and E.E.H.), and R21HD072326 (PI: L.A.W.). PRESTO has received in-kind donations from Swiss Precision Diagnostics and Kindara.com for primary data collection. L.A.W. is a consultant for AbbVie, Inc. and the Gates Foundation. M.L.E. is an advisor for and holds stock in Ro, Hannah, Dadi, Underdog, Vseat, & Doveras. The other authors have no competing interests to declare. TRIAL REGISTRATION NUMBER N/A.
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Affiliation(s)
- J C Bond
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - C M Coleman
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - J J Yland
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - A K Wesselink
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - T Wang
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - M Willis
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - E E Hatch
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - K J Rothman
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - D Savitz
- Department of Epidemiology, Brown University School of Public Health, Providence, RI, USA
| | - M L Eisenberg
- Department of Urology, Stanford University School of Medicine, Palo Alto, CA, USA
| | - L A Wise
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
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Yland JJ, Wesselink AK, Hernandez-Diaz S, Huybrechts K, Hatch EE, Wang TR, Savitz D, Kuohung W, Rothman KJ, Wise LA. Preconception contraceptive use and miscarriage: prospective cohort study. BMJ MEDICINE 2023; 2:e000569. [PMID: 37705685 PMCID: PMC10496668 DOI: 10.1136/bmjmed-2023-000569] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Accepted: 07/14/2023] [Indexed: 09/15/2023]
Abstract
Objectives To evaluate the association between preconception contraceptive use and miscarriage. Design Prospective cohort study. Setting Residents of the United States of America or Canada, recruited from 2013 until the end of 2022. Participants 13 460 female identified participants aged 21-45 years who were planning a pregnancy were included, of whom 8899 conceived. Participants reported data for contraceptive history, early pregnancy, miscarriage, and potential confounders during preconception and pregnancy. Main outcome measure Miscarriage, defined as pregnancy loss before 20 weeks of gestation. Results Preconception use of combined and progestin-only oral contraceptives, hormonal intrauterine devices, copper intrauterine devices, rings, implants, or natural methods was not associated with miscarriage compared with use of barrier methods. Participants who most recently used patch (incidence rate ratios 1.34 (95% confidence interval 0.81 to 2.21)) or injectable contraceptives (1.44 (0.99 to 2.12)) had higher rates of miscarriage compared with recent users of barrier methods, although results were imprecise due to the small numbers of participants who used patch and injectable contraceptives. Conclusions Use of most contraceptives before conception was not appreciably associated with miscarriage rate. Individuals who used patch and injectable contraceptives had higher rates of miscarriage relative to users of barrier methods, although these results were imprecise and residual confounding was possible.
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Affiliation(s)
- Jennifer J Yland
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Amelia K Wesselink
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Sonia Hernandez-Diaz
- Department of Epidemiology and CAUSALab, Harvard University T H Chan School of Public Health, Boston, MA, USA
| | - Krista Huybrechts
- Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Elizabeth E Hatch
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Tanran R Wang
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - David Savitz
- Department of Epidemiology, Brown University School of Public Health, Providence, RI, USA
| | - Wendy Kuohung
- Department of Obstetrics and Gynecology, Boston University School of Medicine, Boston, MA, USA
| | - Kenneth J Rothman
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Lauren A Wise
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
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Regan AK, Wesselink AK, Wang TR, Savitz DA, Yland JJ, Rothman KJ, Hatch EE, Wise LA. Risk of Miscarriage in Relation to Seasonal Influenza Vaccination Before or During Pregnancy. Obstet Gynecol 2023; 142:625-635. [PMID: 37535959 PMCID: PMC10424825 DOI: 10.1097/aog.0000000000005279] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Revised: 03/10/2023] [Accepted: 04/20/2023] [Indexed: 08/05/2023]
Abstract
OBJECTIVE To evaluate the association between seasonal influenza vaccination and miscarriage using data from an ongoing, prospective cohort study. METHODS We analyzed 2013-2022 data from PRESTO (Pregnancy Study Online), a prospective prepregnancy cohort study of female pregnancy planners and their male partners in the United States and Canada. Female participants completed a baseline questionnaire and then follow-up questionnaires every 8 weeks until pregnancy, during early and late pregnancy, and during the postpartum period. Vaccine information was self-reported on all questionnaires. Miscarriage was identified from self-reported information during follow-up. Male partners were invited to complete a baseline questionnaire only. We used Cox proportional hazard models to estimate the hazard ratio (HR) and 95% CI for the association between vaccination less than 3 months before pregnancy detection through the 19th week of pregnancy and miscarriage, with gestational weeks as the time scale. We modeled vaccination as a time-varying exposure and used propensity-score fine stratification to control for confounding from seasonal and female partner factors. RESULTS Of 6,946 pregnancies, 23.3% of female partners reported exposure to influenza vaccine before or during pregnancy: 3.2% during pregnancy (gestational age 4-19 weeks) and 20.1% during the 3 months before pregnancy detection. The miscarriage rate was 16.2% in unvaccinated and 17.0% among vaccinated participants. Compared with no vaccine exposure, influenza vaccination was not associated with increased rate of miscarriage when administered before (HR 0.99, 95% CI 0.81-1.20) or during (HR 0.83, 95% CI 0.47-1.47) pregnancy. Of the 1,135 couples with male partner vaccination data available, 10.8% reported vaccination less than 3 months before pregnancy. The HR for the association between male partner vaccination and miscarriage was 1.17 (95% CI 0.73-1.90). CONCLUSION Influenza vaccination before or during pregnancy was not associated with miscarriage.
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Affiliation(s)
- Annette K Regan
- School of Nursing and Health Professions, University of San Francisco, Orange, and Fielding School of Public Health, University of California, Los Angeles, Los Angeles, California; Boston University School of Public Health, Boston, Massachusetts; and Brown University School of Public Health, Providence, Rhode Island
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Siddika N, Song S, Margerison CE, Kramer MR, Luo Z. The impact of place-based contextual social and environmental determinants on preterm birth: A systematic review of the empirical evidence. Health Place 2023; 83:103082. [PMID: 37473634 DOI: 10.1016/j.healthplace.2023.103082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2023] [Revised: 06/28/2023] [Accepted: 06/29/2023] [Indexed: 07/22/2023]
Abstract
The objective of this study was to systematically review the available empirical evidence examining associations between preterm birth (PTB) and five domains of place-based contextual social and environmental determinants, including (1) physical environment, (2) residential greenness, (3) neighborhood violence/crime, (4) food accessibility and availability, and (5) health services accessibility, among adult mothers in high-income countries. The evidence in this review suggests an adverse association between damaged physical environment, neighborhood violence/crime, lack of health services accessibility, and PTB. The existing evidence also suggests a beneficial effect of residential greenness on PTB. Further studies are needed to investigate these associations for more understanding of the direction and magnitude of these association and for potential heterogeneity by factors such as race/ethnicity, urban vs rural residence, immigration status, and social class.
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Affiliation(s)
- Nazeeba Siddika
- Department of Epidemiology and Biostatistics, Michigan State University, Fee Hall West Wing; 909 Wilson Rd, East Lansing, MI, 48824, USA
| | - Shengfang Song
- Department of Epidemiology and Biostatistics, Michigan State University, Fee Hall West Wing; 909 Wilson Rd, East Lansing, MI, 48824, USA
| | - Claire E Margerison
- Department of Epidemiology and Biostatistics, Michigan State University, Fee Hall West Wing; 909 Wilson Rd, East Lansing, MI, 48824, USA
| | - Michael R Kramer
- Department of Epidemiology, Emory University, 1518 Clifton Rd. NE, Atlanta, GA, 30322, USA
| | - Zhehui Luo
- Department of Epidemiology and Biostatistics, Michigan State University, Fee Hall West Wing; 909 Wilson Rd, East Lansing, MI, 48824, USA.
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Regan AK, Pereira G. The 'ins' and 'outs' of interpregnancy interval effects: Who contributes, and does it matter? Paediatr Perinat Epidemiol 2023; 37:376-378. [PMID: 36919712 PMCID: PMC10946868 DOI: 10.1111/ppe.12969] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/25/2023] [Accepted: 02/27/2023] [Indexed: 03/16/2023]
Affiliation(s)
- Annette K. Regan
- School of Nursing and Health ProfessionalsUniversity of San FranciscoSan FranciscoCaliforniaUSA
- Fielding School of Public HealthUniversity of California Los AngelesLos AngelesCaliforniaUSA
- Curtin School of Population HealthCurtin UniversityPerthWestern AustraliaAustralia
| | - Gavin Pereira
- Curtin School of Population HealthCurtin UniversityPerthWestern AustraliaAustralia
- enAble InstituteCurtin UniversityBentleyWestern AustraliaAustralia
- Centre for Fertility and Health (CeFH), Norwegian Institute of Public HealthOsloNorway
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9
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Regan AK, Swathi PA, Nosek M, Gu NY. Measurement of Health-Related Quality of Life from Conception to Postpartum Using the EQ-5D-5L Among a National Sample of US Pregnant and Postpartum Adults. APPLIED HEALTH ECONOMICS AND HEALTH POLICY 2023; 21:523-532. [PMID: 36964853 PMCID: PMC10039326 DOI: 10.1007/s40258-023-00798-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Accepted: 02/21/2023] [Indexed: 05/03/2023]
Abstract
BACKGROUND During pregnancy, physiological changes occur from conception to birth. We assessed the health-related quality of life (HRQoL) throughout pregnancy and postpartum using the EQ-5D-5L. METHODS Between May and July 2021 (wave 1) and December 2021 and April 2022 (wave 2), we conducted a series of cross-sectional, national online surveys of 5250 pregnant and postpartum United States (US) adults. The survey included the EQ-5D-5L, EQ visual analog scale (EQ VAS), items measuring respondents' sociodemographic and health information, last menstrual period, estimated date of delivery, and date of pregnancy end (if postpartum). We examined monthly EQ-5D-5L items, utility values, and EQ VAS scores during pregnancy and postpartum. We used quantile regression adjusted for calendar month of last menstrual period to estimate changes in HRQoL at different time points of pregnancy and postpartum. RESULTS There was a steady increase in the frequency of respondents reporting health-related problems and a decline in EQ-5D-5L utility values from early pregnancy until the ninth month of pregnancy (β = - 0.21; standard error [SE] 0.02; P < 0.001), followed by a 0.10 (SE 0.02; P < 0.001) unit increase in values during the first postpartum month and a stabilization during the remainder of the postpartum period (β = 0.02; SE 0.02; P = 0.214). The median EQ-5D-5L utility value was lowest during the ninth month of pregnancy (median 0.78 [interquartile range 0.30]). CONCLUSIONS HRQoL as measured by EQ-5D-5L varies across pregnancy, indicating progressive declines throughout pregnancy and a return to first trimester values during the first month postpartum. Studies involving HRQoL measurement in pregnant people should account for the stage of pregnancy in their estimates.
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Affiliation(s)
- Annette K Regan
- School of Nursing and Health Professions, University of San Francisco, San Francisco, CA, USA.
- Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA, USA.
| | - Pallavi Aytha Swathi
- School of Medicine, University of Colorado, Denver, CO, USA
- College Arts and Sciences, University of San Francisco, San Francisco, CA, USA
| | - Marcianna Nosek
- School of Nursing and Health Professions, University of San Francisco, San Francisco, CA, USA
| | - Ning Yan Gu
- School of Nursing and Health Professions, University of San Francisco, San Francisco, CA, USA
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10
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Kim C, Catov J, Schreiner PJ, Appiah D, Wellons MF, Siscovick D, Calderon‐Margalit R, Huddleston H, Ebong IA, Lewis CE. Women's Reproductive Milestones and Cardiovascular Disease Risk: A Review of Reports and Opportunities From the CARDIA Study. J Am Heart Assoc 2023; 12:e028132. [PMID: 36847077 PMCID: PMC10111436 DOI: 10.1161/jaha.122.028132] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/01/2023]
Abstract
In 1985 to 1986, the CARDIA (Coronary Artery Risk Development in Young Adults) study enrolled 5115 Black or White participants, including 2788 women, aged 18 to 30 years. Over the following 35 years, the CARDIA study amassed extensive longitudinal data on women's reproductive milestones, spanning menarche to menopause. Although not initially conceived as a study of women's health, >75 CARDIA study publications address relationships between reproductive factors and events with cardiovascular and metabolic risk factors, subclinical and clinical cardiovascular disease, and social determinants of health. The CARDIA study was one of the earliest population-based reports to note Black-White differences in age at menarche and associations with cardiovascular risk factors. Adverse pregnancy outcomes, particularly gestational diabetes and preterm birth, have been assessed along with postpartum behaviors, such as lactation. Existing studies have examined risk factors for adverse pregnancy outcomes and lactation, as well as their relationship to future cardiovascular and metabolic risk factors, diagnoses, and subclinical atherosclerosis. Ancillary studies examining components of polycystic ovary syndrome and ovarian biomarkers, such as anti-Müllerian hormone, have facilitated examination of reproductive health in a population-based cohort of young adult women. As the cohort transitioned through menopause, examination of the importance of premenopausal cardiovascular risk factors along with menopause has improved our understanding of shared mechanisms. The cohort is now aged in the 50s to mid-60s, and women will begin to experience a greater number of cardiovascular events as well as other conditions, such as cognitive impairment. Thus, in the next decade, the CARDIA study will provide a unique resource for understanding how the women's reproductive life course epidemiology informs cardiovascular risk, as well as reproductive and chronological aging.
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Affiliation(s)
- Catherine Kim
- Departments of Medicine, Obstetrics and Gynecology, and EpidemiologyUniversity of MichiganAnn ArborMI
| | - Janet Catov
- Department of Obstetrics, Gynecology and Reproductive SciencesUniversity of PittsburghPittsburghPA
| | - Pamela J. Schreiner
- Division of Epidemiology and Community HealthUniversity of MinnesotaMinneapolisMN
| | - Duke Appiah
- Department of Public Health, Graduate School of Biomedical SciencesTexas Tech UniversityLubbockTX
| | | | | | | | - Heather Huddleston
- Department of Obstetrics, Gynecology and Reproductive SciencesUniversity of California San FranciscoSan FranciscoCA
| | | | - Cora E. Lewis
- Department of EpidemiologyUniversity of Alabama at BirminghamBirminghamAL
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11
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MacDorman MF, Barnard-Mayers R, Declercq E. United States community births increased by 20% from 2019 to 2020. Birth 2022; 49:559-568. [PMID: 35218065 DOI: 10.1111/birt.12627] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Revised: 02/05/2022] [Accepted: 02/08/2022] [Indexed: 12/11/2022]
Abstract
BACKGROUND Anecdotal and emerging evidence suggested that the 2020 COVID-19 pandemic may have influenced women's attitudes toward community birth. Our purpose was to examine trends in community births from 2019 to 2020, and the risk profile of these births. METHODS Recently released 2020 birth certificate data were compared with prior years' data to analyze trends in community births by socio-demographic and medical characteristics. RESULTS In 2020, there were 71 870 community births in the United States, including 45 646 home births and 21 884 birth center births. Community births increased by 19.5% from 2019 to 2020. Planned home births increased by 23.3%, while birth center births increased by 13.2%. Increases occurred in every US state, and for all racial and ethnic groups, particularly non-Hispanic Black mothers (29.7%), although not all increases were statistically significant. In 2020, 1 of every 50 births in the United States was a community birth (2.0%). Women with planned home and birth center births were less likely than women with hospital births to have several characteristics associated with poor pregnancy outcomes, including teen births, smoking during pregnancy, obesity, and preterm, low birthweight, and multiple births. More than two-thirds of planned home births were self-paid, compared with one-third of birth center and just 3% of hospital births. CONCLUSIONS It is to the great credit of United States midwives working in home and birth center settings that they were able to substantially expand their services during a worldwide pandemic without compromising standards in triaging women to optimal settings for safe birth.
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Affiliation(s)
- Marian F MacDorman
- Maryland Population Research Center, University of Maryland, College Park, Maryland, USA
| | | | - Eugene Declercq
- Boston University School of Public Health, Boston, Massachusetts, USA
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12
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Protein-rich food intake and risk of spontaneous abortion: a prospective cohort study. Eur J Nutr 2022; 61:2737-2748. [DOI: 10.1007/s00394-022-02849-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Accepted: 02/22/2022] [Indexed: 11/04/2022]
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