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Ye S, Huang X, Fan D, Chen G, Li P, Rao J, Zhou Z, Guo X, Liu Z, Lin D. Association between interpregnancy interval and adverse perinatal outcomes among subsequent twin pregnancies: a nationwide population-based study. Am J Obstet Gynecol MFM 2024; 6:101439. [PMID: 39079615 DOI: 10.1016/j.ajogmf.2024.101439] [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] [Received: 05/12/2024] [Revised: 06/13/2024] [Accepted: 07/11/2024] [Indexed: 08/23/2024]
Abstract
BACKGROUND The existing evidence on the association between interpregnancy interval (IPI) and pregnancy outcomes primarily focuses on singleton pregnancies, with limited research on twin pregnancies. OBJECTIVE This study aimed to investigate the association between IPI and adverse perinatal outcomes in twin pregnancies. STUDY DESIGN This population-based, retrospective cohort study analyzed data from the National Center for Health Statistics in the United States between 2016 and 2020. We included multiparous women aged 18 to 45 years with live-born twins without congenital anomalies, born between 26 and 42 weeks of gestation. Poisson regression models, adjusted for potential confounders, were used to evaluate the associations between IPI and adverse outcomes, including preterm birth (PTB) <36 weeks, small for gestational age (SGA), neonatal intensive care unit (NICU) admission, neonatal composite morbidity, and infant death. Missing data on covariates were managed using multiple imputations. Dose-response analyses were performed using the restricted cubic splines (RCS) approach. Subgroup analyses were stratified by maternal age, parity, and combination of neonatal sex. Sensitivity analyses were conducted using complete data and excluding pregnancies with intervening events during the IPI. RESULTS A total of 143,014 twin pregnancies were included in the analysis. Compared to the referent group (IPI of 18-23 months), an IPI of less than 6 months was associated with an increased risk of PTB<36 weeks (RR, 1.21; 95% confidence interval [95% CI]: 1.17-1.25), SGA (RR, 1.11; 95% CI: 1.03-1.18), neonatal composite morbidity (RR, 1.19; 95% CI: 1.12-1.27), NICU admission (RR, 1.18; 95% CI: 1.14-1.22), and infant death (RR, 1.29; 95% CI: 1.05-1.60). An IPI of 5 years or more was associated with an increased risk of PTB<36 weeks (RR, 1.18; 95% CI: 1.15-1.21), SGA (RR, 1.24; 95% CI: 1.18-1.30), neonatal composite morbidity (RR, 1.10; 95% CI: 1.05-1.15), and NICU admission (RR, 1.14; 95% CI: 1.11-1.17). The dose-response analyses showed that these outcomes had U-shaped or J-shaped associations with IPI. The associations between IPI and the outcomes slightly differed by advanced maternal age, parity, and combination of neonatal sex. The sensitivity analyses yielded similar results to the main findings. CONCLUSION Extreme IPI, less than 6 months or more than 5 years, was associated with adverse outcomes in twin pregnancies. IPI could be used as a predictor for risk stratification in high-risk twin pregnancies.
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Affiliation(s)
- Shaoxin Ye
- Foshan Institute of Fetal Medicine, Maternal & Child Health Hospital of Foshan, Foshan, Guangdong, China (Ye, Fan, Chen, Li, Rao, Zhou, Liu, Lin); Department of Obstetrics, Maternal & Child Health Hospital of Foshan, Foshan, Guangdong, China (Ye, Fan, Chen, Li, Rao, Zhou, Guo, Liu, Lin)
| | - Xuqiong Huang
- Medical Administration Division, People's Hospital of Huadu District, Guangzhou, Guangdong, China (Huang)
| | - Dazhi Fan
- Foshan Institute of Fetal Medicine, Maternal & Child Health Hospital of Foshan, Foshan, Guangdong, China (Ye, Fan, Chen, Li, Rao, Zhou, Liu, Lin); Department of Obstetrics, Maternal & Child Health Hospital of Foshan, Foshan, Guangdong, China (Ye, Fan, Chen, Li, Rao, Zhou, Guo, Liu, Lin)
| | - Gengdong Chen
- Foshan Institute of Fetal Medicine, Maternal & Child Health Hospital of Foshan, Foshan, Guangdong, China (Ye, Fan, Chen, Li, Rao, Zhou, Liu, Lin); Department of Obstetrics, Maternal & Child Health Hospital of Foshan, Foshan, Guangdong, China (Ye, Fan, Chen, Li, Rao, Zhou, Guo, Liu, Lin)
| | - Pengsheng Li
- Foshan Institute of Fetal Medicine, Maternal & Child Health Hospital of Foshan, Foshan, Guangdong, China (Ye, Fan, Chen, Li, Rao, Zhou, Liu, Lin); Department of Obstetrics, Maternal & Child Health Hospital of Foshan, Foshan, Guangdong, China (Ye, Fan, Chen, Li, Rao, Zhou, Guo, Liu, Lin)
| | - Jiaming Rao
- Foshan Institute of Fetal Medicine, Maternal & Child Health Hospital of Foshan, Foshan, Guangdong, China (Ye, Fan, Chen, Li, Rao, Zhou, Liu, Lin); Department of Obstetrics, Maternal & Child Health Hospital of Foshan, Foshan, Guangdong, China (Ye, Fan, Chen, Li, Rao, Zhou, Guo, Liu, Lin)
| | - Zixing Zhou
- Foshan Institute of Fetal Medicine, Maternal & Child Health Hospital of Foshan, Foshan, Guangdong, China (Ye, Fan, Chen, Li, Rao, Zhou, Liu, Lin); Department of Obstetrics, Maternal & Child Health Hospital of Foshan, Foshan, Guangdong, China (Ye, Fan, Chen, Li, Rao, Zhou, Guo, Liu, Lin)
| | - Xiaoling Guo
- Department of Obstetrics, Maternal & Child Health Hospital of Foshan, Foshan, Guangdong, China (Ye, Fan, Chen, Li, Rao, Zhou, Guo, Liu, Lin)
| | - Zhengping Liu
- Foshan Institute of Fetal Medicine, Maternal & Child Health Hospital of Foshan, Foshan, Guangdong, China (Ye, Fan, Chen, Li, Rao, Zhou, Liu, Lin); Department of Obstetrics, Maternal & Child Health Hospital of Foshan, Foshan, Guangdong, China (Ye, Fan, Chen, Li, Rao, Zhou, Guo, Liu, Lin)
| | - Dongxin Lin
- Foshan Institute of Fetal Medicine, Maternal & Child Health Hospital of Foshan, Foshan, Guangdong, China (Ye, Fan, Chen, Li, Rao, Zhou, Liu, Lin); Department of Obstetrics, Maternal & Child Health Hospital of Foshan, Foshan, Guangdong, China (Ye, Fan, Chen, Li, Rao, Zhou, Guo, Liu, Lin).
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Klebanoff MA, Hade EM. Conditional logistic versus conditional Poisson regression in sibship studies of interpregnancy interval. Paediatr Perinat Epidemiol 2024; 38:161-162. [PMID: 38330206 DOI: 10.1111/ppe.13044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Accepted: 01/07/2024] [Indexed: 02/10/2024]
Affiliation(s)
- Mark A Klebanoff
- Center for Perinatal Research, The Abigail Wexner Research Institute, Nationwide Children's Hospital, Columbus, Ohio, USA
- Department of Pediatrics and Obstetrics and Gynecology, The Ohio State University College of Medicine, Columbus, Ohio, USA
- Division of Epidemiology, The Ohio State University College of Public Health, Columbus, Ohio, USA
| | - Erinn M Hade
- Department of Population Health, Division of Biostatistics, New York University Grossman School of Medicine, New York, New York, USA
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McFarland KV, Hefelfinger LM, Mendez CV, DeFranco EA, Kelly E. Social determinants among Black people during pregnancy following a short interpregnancy interval. AJOG GLOBAL REPORTS 2023; 3:100279. [PMID: 38034023 PMCID: PMC10684387 DOI: 10.1016/j.xagr.2023.100279] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2023] Open
Abstract
BACKGROUND Short interpregnancy interval has been shown to be a key contributor to infant mortality. Black pregnant people have a higher incidence of short interpregnancy interval than people of other races and ethnicities, as well as higher rates of infant mortality. Understanding the factors related to racial disparities in short interpregnancy interval and infant mortality are a public health priority. OBJECTIVE This study aimed to examine the relationship between social determinants of health and interpregnancy interval in Black pregnant people by comparing those with a short interpregnancy interval defined as <18 months with those with a referent interpregnancy interval defined as ≥18 months. STUDY DESIGN This was a nested case-control study from a prospective cohort analyzing social determinants of health in 576 postpartum patients at an urban medical center, 2011-2021. Sociodemographic, pregnancy, and maternal characteristic data were collected from participants' medical records. Structured interviews measured participants' health behaviors, physical environment, social support, health literacy, and structural drivers. Differences in social determinants of health among Black study participants were compared between those with a short interpregnancy interval (<18 months) and those with a referent interpregnancy interval (≥18 months). The odds ratios were calculated to assess the association between short interpregnancy interval and social determinants. Factors with significant differences between the short interpregnancy interval and referent interpregnancy interval groups in Black participants were compared with that of White groups for social context. RESULTS Black participants with a short interpregnancy interval were more likely to report financial support from the Special Supplemental Nutrition Program for Women, Infants, and Children (odds ratio, 2.4; 95% confidence interval, 1.2-5.1), negative feelings toward the pregnancy (odds ratio, 2.4; 95% confidence interval, 1.2-4.9), choosing not to breastfeed because they do not like it (odds ratio ,12.0; 95% confidence interval, 1.5-543.1), not receiving prenatal care as early as desired (odds ratio, 3.4; 95% confidence interval, 1.6-7.2) because of consid- eration of pregnancy termination (odds ratio, 5.2; 95% confidence interval, 1.2-30.5) and less likely to report low levels of social support (odds ratio, 0.3; 95% confidence interval, 0.1-0.8) than Black participants with a referent interpregnancy interval. CONCLUSION Social determinants of health that differed between participants with a short interpregnancy interval and those with a referent interpregnancy interval were Special Supplemental Nutrition Program for Women, Infants, and Children support, feelings toward the pregnancy, social support, breastfeeding intent, and delayed prenatal care because of consideration of abortion. Previous studies examining infant mortality risk factors used White people as the referent group when analyzing social determinants. Our study focused specifically on understanding the lives of Black pregnant people so that future public health initiatives focused on social determinants may attenuate the racial disparity of infant mortality in the United States.
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Affiliation(s)
- Katy V. McFarland
- Department of Obstetrics and Gynecology, University of Cincinnati College of Medicine, (Mses McFarland, Hefelfinger, and Mendez and Drs DeFranco and Kelly) Cincinnati, OH
| | - Leah M. Hefelfinger
- Department of Obstetrics and Gynecology, University of Cincinnati College of Medicine, (Mses McFarland, Hefelfinger, and Mendez and Drs DeFranco and Kelly) Cincinnati, OH
| | - Christina V. Mendez
- Department of Obstetrics and Gynecology, University of Cincinnati College of Medicine, (Mses McFarland, Hefelfinger, and Mendez and Drs DeFranco and Kelly) Cincinnati, OH
| | - Emily A. DeFranco
- Department of Obstetrics and Gynecology, University of Cincinnati College of Medicine, (Mses McFarland, Hefelfinger, and Mendez and Drs DeFranco and Kelly) Cincinnati, OH
| | - Elizabeth Kelly
- Department of Obstetrics and Gynecology, University of Cincinnati College of Medicine, (Mses McFarland, Hefelfinger, and Mendez and Drs DeFranco and Kelly) Cincinnati, OH
- Department of Pediatrics, Perinatal Institute, Cincinnati Children's Hospital Medical Center, (Dr Kelly) Cincinnati, OH
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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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Klebanoff MA, Hade EM. Interpregnancy interval and preterm delivery: An empirical comparison of between-persons and within-sibship designs. Paediatr Perinat Epidemiol 2022. [PMID: 36511351 DOI: 10.1111/ppe.12946] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Revised: 11/16/2022] [Accepted: 11/21/2022] [Indexed: 12/14/2022]
Abstract
BACKGROUND Short interpregnancy interval has been associated with increased risk of preterm delivery; recent studies employing within-sibship designs suggest that this risk may be exaggerated. There are unresolved issues regarding properties of this design. OBJECTIVES To compare directly the results, for short intervals, of between-person and within-sibship analyses when applied to the same target population. METHODS Cross-sectional data are from the National Survey of Family Growth, a statistically representative survey of women and men in the USA, 2006-2015. Participants provided a complete pregnancy history including outcome, duration and ending date, enabling calculation of interval. Conventional analysis employed log-linear regression, controlling survey design, early life events, demographic variables, pregnancy intendedness, breastfeeding of the previous birth and obstetric history. Within-sibship analyses, utilising conditional log-linear regression, controlled the same variables, except those remaining static within each participant. RESULTS Among participants with at least three live- or stillbirths, the percentage of pregnancies in each interval, and the percent of deliveries that were preterm following that interval were 9.2%, 14.6% for <6, and 14.7%, 15.4% for 6-11, versus 12.2%, 14.7% for 18-23 months. Among participants with at least three live- or stillborn infants, those in the within-sibship analysis had a higher risk profile than comparably parous, ineligible participants. In a between-participant analysis, among those included in within-sibship models, the adjusted risk ratios (vs 18-23 months) for preterm delivery for intervals <6 and 6-11 months were 0.74 (95% CI 0.63, 0.88) and 0.85 (95% CI 0.74, 0.98). The corresponding risk ratios were 0.56 (95% CI 0.14, 2.30) and 0.49 (95% CI 0.13, 1.80) for those ineligible for the within-sibship models. CONCLUSIONS When comparable analyses were employed, the association between interval and preterm delivery was similar between participants included in the within-sibship analysis and those ineligible for the within-sibship analysis, but differed from those in the full cohort, perhaps due to different target populations.
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Affiliation(s)
- Mark A Klebanoff
- Center for Perinatal Research, The Abigail Wexner Research Institute, Nationwide Children's Hospital, Columbus, Ohio, USA.,Departments of Pediatrics and Obstetrics and Gynecology, The Ohio State University College of Medicine, Columbus, Ohio, USA.,Division of Epidemiology, The Ohio State University College of Public Health, Columbus, Ohio, USA
| | - Erinn M Hade
- Department of Population Health, Division of Biostatistics, New York University Grossman School of Medicine, New York, New York, USA
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Mishra GD, Baneshi MR, Dobson AJ, Tooth LR. Maternal factors associated with interbirth intervals in Australia: Results from a population-based longitudinal study. Birth 2022; 49:728-740. [PMID: 35355322 PMCID: PMC9790452 DOI: 10.1111/birt.12638] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Revised: 01/30/2022] [Accepted: 03/16/2022] [Indexed: 12/30/2022]
Abstract
BACKGROUND AND OBJECTIVE Short and long intervals between successive births are associated with adverse birth outcomes, especially in low-income and middle-income countries, yet the birth intervals in high-income countries remain relatively understudied. The aim was to examine maternal factors associated with birth intervals in Australia. METHODS The sample comprised 6130 participants in the Australian Longitudinal Study on Women's Health who were born in 1973-1978, had two or more births, and responded to regular surveys between 1996 and 2018. Interbirth interval (IBI) was defined as the time between successive live births. Maternal factors were examined using accelerated failure time models. RESULTS For women with only two births (n = 3802), the median time to the second birth was 34.0 months (IQR 23.1, 46.2) with shorter IBI associated with higher socioeconomic status (eg, university education (31.9 months), less income stress (31.1)), and longer IBI associated with age over 35 (39.7), fair/poor health (43.0), untreated fertility problems (45.5), miscarriage (39.4), or abortion (41.0). For women with three or more births (n = 2328), the median times to the second and third births were 31.2 months (19.9, 42.1) and 36.5 months (25.3, 50.1), respectively; some factors were consistent between the first IBI and second IBI (eg, university education and being married were associated with shorter IBI), whereas income stress was associated with longer first IBI but not with second IBI. CONCLUSIONS Understanding maternal factors associated with birth intervals in a high-income country like Australia may enable more nuanced tailoring of guidelines for prepregnancy care.
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Affiliation(s)
- Gita D. Mishra
- School of Public HealthThe University of QueenslandHerstonQueenslandAustralia
| | - Mohammad Reza Baneshi
- School of Public HealthThe University of QueenslandHerstonQueenslandAustralia
- Department of Biostatistics and Epidemiology, School of HealthKerman University of Medical SciencesKermanIran
| | - Annette J. Dobson
- School of Public HealthThe University of QueenslandHerstonQueenslandAustralia
| | - Leigh R. Tooth
- School of Public HealthThe University of QueenslandHerstonQueenslandAustralia
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Wang Y, Zeng C, Chen Y, Yang L, Tian D, Liu X, Lin Y. Short interpregnancy interval can lead to adverse pregnancy outcomes: A meta-analysis. Front Med (Lausanne) 2022; 9:922053. [PMID: 36530890 PMCID: PMC9747778 DOI: 10.3389/fmed.2022.922053] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2022] [Accepted: 11/01/2022] [Indexed: 12/11/2023] Open
Abstract
BACKGROUND The evidence of some previous papers was insufficient in studying the causal association between interpregnancy interval (IPI) and adverse pregnancy outcomes. In addition, more literature have been updated worldwide during the last 10 years. METHODS English and Chinese articles published from January 1980 to August 2021 in the databases of PubMed, Cochrane Library, Ovid, Embase, China Biology Medicine disc (CBM), and China National Knowledge Infrastructure (CNKI) were searched. Then following the inclusion and exclusion criteria, we screened the articles. Utilizing the Newcastle-Ottawa Scale (NOS), we evaluated the quality of the included articles. The literature information extraction table was set up in Excel, and the meta-analysis was performed with Stata 16.0 software (Texas, USA). RESULTS A total of 41 articles were included in the meta-analysis, and NOS scores were four to eight. The short IPI after delivery was the risk factor of preterm birth (pooled odds ratio 1.49, 95% confidence interval 1.42-1.57), very preterm birth (pooled OR: 1.82, 95% CI: 1.55-2.14), low birth weight (pooled OR: 1.33, 95% CI: 1.24-1.43), and small for gestational age (pooled OR: 1.14, 95% CI: 1.07-1.21), offspring death (pooled OR: 1.60, 95% CI: 1.51-1.69), NICU (pooled OR: 1.26, 95% CI: 1.01-1.57), and congenital abnormality (pooled OR: 1.10, 95% CI: 1.05-1.16), while was not the risk factor of gestational hypertension (pooled OR: 0.95, 95% CI: 0.93-0.98) or gestational diabetes (pooled OR: 1.06, 95% CI: 0.93-1.20). CONCLUSION Short IPI (IPI < 6 months) can lead to adverse perinatal outcomes, while it is not a risk factor for gestational diabetes and gestational hypertension. Therefore, more high-quality studies covering more comprehensive indicators of maternal and perinatal pregnancy outcomes are needed to ameliorate the pregnancy policy for women of childbearing age.
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Affiliation(s)
- Yumei Wang
- Department of Health Care, Chengdu Women’s and Children’s Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
- Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Can Zeng
- Department of Travel to Check, Customs of Chengdu Shuangliu Airport Belongs to Chengdu Customs, Chengdu, China
| | - Yuhong Chen
- Department of Health Care, Chengdu Women’s and Children’s Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Liu Yang
- Department of Health Care, Chengdu Women’s and Children’s Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Di Tian
- Department of Health Care, Chengdu Women’s and Children’s Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Xinghui Liu
- Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Yonghong Lin
- Department of Health Care, Chengdu Women’s and Children’s Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
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Tessema GA, Håberg SE, Pereira G, Magnus MC. The role of intervening pregnancy loss in the association between interpregnancy interval and adverse pregnancy outcomes. BJOG 2022; 129:1853-1861. [PMID: 35596254 PMCID: PMC9541236 DOI: 10.1111/1471-0528.17223] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2021] [Revised: 04/26/2022] [Accepted: 05/16/2022] [Indexed: 12/01/2022]
Abstract
OBJECTIVE To investigate whether intervening miscarriages and induced abortions impact the associations between interpregnancy interval after a live birth and adverse pregnancy outcomes. DESIGN Population-based cohort study. SETTING Norway. PARTICIPANTS A total of 165 617 births to 143 916 women between 2008 and 2016. MAIN OUTCOME MEASURES We estimated adjusted relative risks for adverse pregnancy outcomes using log-binomial regression, first ignoring miscarriages and induced abortions in the interpregnancy interval estimation (conventional interpregnancy interval estimates) and subsequently accounting for intervening miscarriages or induced abortions (correct interpregnancy interval estimates). We then calculated the ratio of the two relative risks (ratio of ratios, RoR) as a measure of the difference. RESULTS The proportion of short interpregnancy interval (<6 months) was 4.0% in the conventional interpregnancy interval estimate and slightly increased to 4.6% in the correct interpregnancy interval estimate. For interpregnancy interval <6 months, compared with 18-23 months, the RoR was 0.97 for preterm birth (PTB) (95% confidence interval [CI] 0.83-1.13), 0.97 for spontaneous PTB ( 95% CI 0.80-1.19), 1.00 for small-for-gestational age ( 95% CI 0.86-1.14), 1.00 for large-for-gestational age (95% CI 0.90-1.10) and 0.99 for pre-eclampsia (95% CI 0.71-1.37). Similarly, conventional and correct interpregnancy intervals yielded associations of similar magnitude between long interpregnancy interval (≥60 months) and the pregnancy outcomes evaluated. CONCLUSION Not considering intervening pregnancy loss due to miscarriages or induced abortions, results in negligible difference in the associations between short and long interpregnancy intervals and adverse pregnancy outcomes.
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Affiliation(s)
- Gizachew A Tessema
- Curtin School of Population Health, Curtin University, Perth, Western Australia, Australia.,School of Public Health, University of Adelaide, Adelaide, South Australia, Australia.,Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Siri E Håberg
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Gavin Pereira
- Curtin School of Population Health, Curtin University, Perth, Western Australia, Australia.,Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Maria C Magnus
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
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Liberman RF, Heinke D, Petersen JM, Parker SE, Nestoridi E, Van Zutphen AR, Nembhard WN, Ramirez GM, Ethen MK, Tran T, Kirby RS, Getz KD, Nance AE, Yazdy MM. Interpregnancy interval and prevalence of selected birth defects: A multistate study. Birth Defects Res 2021; 114:69-79. [PMID: 34676681 DOI: 10.1002/bdr2.1960] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Revised: 09/23/2021] [Accepted: 10/01/2021] [Indexed: 11/06/2022]
Abstract
BACKGROUND Both short and long interpregnancy intervals (IPIs) have been associated with adverse birth outcomes. We undertook a multistate study to describe the prevalence of selected birth defects by IPI. METHODS We obtained data from nine population-based state birth defects registries for singleton live births in 2000-2009 among mothers with a previous live birth identified through birth certificates. IPI was calculated as the difference between prior birthdate and start of the current pregnancy (conception date). We estimated prevalence of selected defects per 10,000 live births and prevalence ratios (PRs) with 95% confidence intervals (CIs) overall and stratified by maternal age at previous birth and race/ethnicity. Primary analyses focused on short IPI < 6 months and long IPI ≥ 60 months compared to 18-23 months (referent). Sensitivity analyses limited to active-surveillance states and those with<10% missing IPI. RESULTS Among 5,147,962 eligible births, 6.3% had short IPI while 19.8% had long IPI. Compared to referent, prevalence with short IPI was elevated for gastroschisis (3.7, CI: 3.0-4.5 vs. 2.0, CI: 1.6-2.4) and with both short and long IPI for tetralogy of Fallot (short: 3.4, 2.8-4.2 long: 3.8, 3.4-4.3 vs. 2.7, 2.3-3.2) and cleft lip ± palate (short: 9.9, 8.8-11.2 long: 9.2, 8.5-9.8 vs. 8.4, 7.6-9.2). Stratified analyses identified additional associations, including elevated prevalence of anencephaly with short IPI in younger mothers and limb defects with long IPI in those ages 25-34 at prior birth. Sensitivity analyses showed similar results. CONCLUSION In this population-based study, we observed increased prevalence of several birth defects with short and long IPI.
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Affiliation(s)
- Rebecca F Liberman
- Massachusetts Department of Public Health, Center for Birth Defects Research and Prevention, Boston, Massachusetts, USA
| | - Dominique Heinke
- Massachusetts Department of Public Health, Center for Birth Defects Research and Prevention, Boston, Massachusetts, USA
| | - Julie M Petersen
- Boston University School of Public Health, Boston, Massachusetts, USA
| | - Samantha E Parker
- Boston University School of Public Health, Boston, Massachusetts, USA
| | - Eirini Nestoridi
- Massachusetts Department of Public Health, Center for Birth Defects Research and Prevention, Boston, Massachusetts, USA
| | - Alissa R Van Zutphen
- New York State Department of Health, Birth Defects Registry, Albany, New York, USA
| | - Wendy N Nembhard
- Arkansas Center for Birth Defects Research and Prevention, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA
| | - Glenda M Ramirez
- Arizona Department of Health Services, Arizona Birth Defects Monitoring Program, Phoenix, Arizona, USA
| | - Mary K Ethen
- Texas Department of State Health Services, Birth Defects Epidemiology and Surveillance Branch, Austin, Texas, USA
| | - Tri Tran
- Louisiana Department of Health, Office of Public Health, New Orleans, Louisiana, USA
| | - Russell S Kirby
- College of Public Health, University of South Florida, Tampa, Florida, USA
| | - Kelly D Getz
- Perelman School of Medicine at the University of Pennsylvania and the Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Amy E Nance
- Utah Department of Health, Bureau of Children with Special Health Care Needs, Utah Birth Defect Network, Salt Lake City, Utah, USA
| | - Mahsa M Yazdy
- Massachusetts Department of Public Health, Center for Birth Defects Research and Prevention, Boston, Massachusetts, USA
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Willis SK, Hatch EE, Wesselink AK, Rothman KJ, Mikkelsen EM, Ahrens KA, Wise LA. Post-partum interval and time to pregnancy in a prospective preconception cohort. Paediatr Perinat Epidemiol 2021; 35:271-280. [PMID: 32700808 DOI: 10.1111/ppe.12702] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/05/2019] [Revised: 04/09/2020] [Accepted: 05/03/2020] [Indexed: 12/01/2022]
Abstract
BACKGROUND Little is known about the influence of the post-partum interval-defined as the time between giving birth and attempting to conceive again-on subsequent fecundability. OBJECTIVES We evaluated the association between the post-partum interval and fecundability in Pregnancy Study Online (PRESTO), a web-based prospective preconception cohort of pregnancy planners from the United States and Canada. METHODS Eligible women were aged 21-45 years, attempting pregnancy, and not using fertility treatment. Women completed a baseline questionnaire to ascertain information on demographics, life style factors, and reproductive history, including detailed information on all previous pregnancies. They completed bi-monthly follow-up questionnaires for up to 12 months to update pregnancy status over time. We used proportional probabilities regression models to estimate fecundability ratios (FRs) and 95% confidence intervals (CIs) adjusted for sociodemographic and reproductive history covariates. Analyses were restricted to multiparous women who had been attempting pregnancy with the same male partner for ≤6 menstrual cycles at enrolment. RESULTS During 2013-2019, 1489 female participants contributed 959 pregnancies and 5003 cycles. The median post-partum interval was 18 months. Compared with a 12- to 23-month post-partum interval, FRs for post-partum intervals of <12, 24-47, and ≥48 months were 0.89 (95% CI 0.77, 1.04), 1.06 (95% CI 0.91, 1.23), and 0.81 (95% CI 0.62, 1.05), respectively. When restricting to women without a history of subfertility, results were consistent for long post-partum interval and attenuated for short post-partum interval. CONCLUSIONS Among North American pregnancy planners, long post-partum intervals (≥48 months) were associated with slightly reduced fecundability. Short post-partum intervals (<12 months) were weakly associated with reduced fecundability in some subgroups including women with a history of caesarean delivery and planned pregnancies.
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Affiliation(s)
- Sydney K Willis
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Elizabeth E Hatch
- 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
| | - Kenneth J Rothman
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA.,RTI International, Research Triangle Park, Durham, NC, USA
| | - Ellen M Mikkelsen
- Department of Clinical Epidemiology, Aarhus University, Aarhus, Denmark
| | - Katherine A Ahrens
- Muskie School of Public Service, University of Southern Maine, Portland, ME, USA
| | - Lauren A Wise
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
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11
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Rendall MS, Harrison EY, Caudillo ML. Intentionally or Ambivalently Risking a Short Interpregnancy Interval: Reproductive-Readiness Factors in Women's Postpartum Non-Use of Contraception. Demography 2020; 57:821-841. [PMID: 32096094 PMCID: PMC8493517 DOI: 10.1007/s13524-020-00859-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
A focus of research on short interpregnancy intervals (IPI) has been on young disadvantaged women whose births are likely to be unintended. Later initiation of family formation in the United States and other high-income countries points to the need to also consider a woman's attributes indicative of readiness for purposefully accelerated family formation achieved through short IPIs. We test for whether factors indicating "reproductive readiness"-including being married, being older, and having just had a first birth or a birth later than desired-predict a woman's non-use of contraception in the postpartum months. We also test for whether this contraceptive non-use results explicitly from wanting to become pregnant again. The data come from the 2012-2015 Pregnancy Risk Assessment Monitoring System, representing women who recently gave birth in any of 35 U.S. states and New York City (N = 120,111). We find that these reproductive-readiness factors are highly predictive of women's postpartum non-use of contraception because of a stated desire to become pregnant and are moderately predictive of contraceptive non-use without an explicit pregnancy intention. We conclude that planning for, or ambivalently risking, a short IPI is a frequent family-formation strategy for women whose family formation has been delayed. This is likely to become increasingly common as family formation in the United States is initiated later in the reproductive life course.
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Affiliation(s)
- Michael S Rendall
- Department of Sociology and Maryland Population Research Center, University of Maryland, College Park, MD, 20742, USA.
| | | | - Mónica L Caudillo
- Department of Sociology and Maryland Population Research Center, University of Maryland, College Park, MD, 20742, USA
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12
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Ahrens KA, Hutcheon JA, Ananth CV, Basso O, Briss PA, Ferré CD, Frederiksen BN, Harper S, Hernández‐Díaz S, Hirai AH, Kirby RS, Klebanoff MA, Lindberg L, Mumford SL, Nelson HD, Platt RW, Rossen LM, Stuebe AM, Thoma ME, Vladutiu CJ, Moskosky S. Report of the Office of Population Affairs' expert work group meeting on short birth spacing and adverse pregnancy outcomes: Methodological quality of existing studies and future directions for research. Paediatr Perinat Epidemiol 2019; 33:O5-O14. [PMID: 30300948 PMCID: PMC6378402 DOI: 10.1111/ppe.12504] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2018] [Revised: 08/09/2018] [Accepted: 08/12/2018] [Indexed: 12/22/2022]
Abstract
BACKGROUND The World Health Organization (WHO) recommends that women wait at least 24 months after a livebirth before attempting a subsequent pregnancy to reduce the risk of adverse maternal, perinatal, and infant health outcomes. However, the applicability of the WHO recommendations for women in the United States is unclear, as breast feeding, nutrition, maternal age at first birth, and total fertility rate differs substantially between the United States and the low- and middle-resource countries upon which most of the evidence is based. METHODS To inform guideline development for birth spacing specific to women in the United States, the Office of Population Affairs (OPA) convened an expert work group meeting in Washington, DC, on 14-15 September 2017 among reproductive, perinatal, paediatric, social, and public health epidemiologists; obstetrician-gynaecologists; biostatisticians; and experts in evidence synthesis related to women's health. RESULTS Presentations and discussion topics included the methodological quality of existing studies, evaluation of the evidence for causal effects of short interpregnancy intervals on adverse perinatal and maternal health outcomes, good practices for future research, and identification of research gaps and priorities for future work. CONCLUSIONS This report provides an overview of the presentations, discussions, and conclusions from the expert work group meeting.
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Affiliation(s)
- Katherine A. Ahrens
- Office of Population AffairsOffice of the Assistant Secretary for HealthRockvilleMaryland
| | - Jennifer A. Hutcheon
- Department of Obstetrics and GynaecologyUniversity of British ColumbiaVancouverBritish ColumbiaCanada
| | - Cande V. Ananth
- Department of Obstetrics and GynecologyVagelos College of Physicians and SurgeonsColumbia UniversityNew YorkNew York,Department of EpidemiologyJoseph L. Mailman School of Public HealthColumbia UniversityNew YorkNew York
| | - Olga Basso
- Department of Obstetrics and GynecologyRoyal Victoria HospitalResearch Institute of McGill University Health CentreMontrealQuebecCanada,Department of Epidemiology, Biostatistics and Occupational HealthMcGill UniversityMontrealQuebecCanada
| | - Peter A. Briss
- National Center for Chronic Disease Prevention and Health Promotion Centers for Disease Control and PreventionAtlantaGeorgia
| | - Cynthia D. Ferré
- Maternal and Infant Health BranchDivision of Reproductive HealthNational Center for Chronic Disease Prevention and Health PromotionCenters for Disease Control and PreventionAtlantaGeorgia
| | - Brittni N. Frederiksen
- Office of Population AffairsOffice of the Assistant Secretary for HealthRockvilleMaryland
| | - Sam Harper
- Department of Epidemiology, Biostatistics and Occupational HealthMcGill UniversityMontrealQuebecCanada
| | - Sonia Hernández‐Díaz
- Department of EpidemiologyHarvard T. H. Chan School of Public HealthBostonMassachusetts
| | - Ashley H. Hirai
- US Department of Health and Human ServicesHealth Resources and Services Administration, Maternal and Child Health BureauOffice of Epidemiology and ResearchRockvilleMaryland
| | - Russell S. Kirby
- Department of Community and Family HealthUniversity of South Florida College of Public HealthTampaFlorida
| | - Mark A. Klebanoff
- Center for Perinatal ResearchDepartments of Pediatrics and Obstetrics and Gynecology and Division of EpidemiologyThe Research Institute at Nationwide Children's HospitalThe Ohio State UniversityColumbusOhio
| | | | - Sunni L. Mumford
- Division of Intramural Population Health Research, Epidemiology BranchNational Institute of Child Health and Human DevelopmentBethesdaMaryland
| | - Heidi D. Nelson
- Department of Medical Informatics and Clinical EpidemiologyOregon Health & Science UniversityPortlandOregon
| | - Robert W. Platt
- Department of Epidemiology, Biostatistics and Occupational HealthMcGill UniversityMontrealQuebecCanada
| | - Lauren M. Rossen
- Reproductive Statistics BranchDivision of Vital StatisticsNational Center for Health StatisticsCenters for Disease Control and PreventionHyattsvilleMaryland
| | - Alison M. Stuebe
- Department of Obstetrics and GynecologyDepartment of Maternal and Child HealthGillings School of Global Public HealthUniversity of North Carolina School of MedicineChapel HillNorth Carolina
| | - Marie E. Thoma
- Department of Family ScienceUniversity of MarylandCollege ParkMaryland
| | - Catherine J. Vladutiu
- US Department of Health and Human ServicesHealth Resources and Services Administration, Maternal and Child Health BureauOffice of Epidemiology and ResearchRockvilleMaryland
| | - Susan Moskosky
- Office of Population AffairsOffice of the Assistant Secretary for HealthRockvilleMaryland
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13
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Thoma ME, De Silva DA, MacDorman MF. Examining interpregnancy intervals and maternal and perinatal health outcomes using U.S. vital records: Important considerations for analysis and interpretation. Paediatr Perinat Epidemiol 2019; 33:O60-O72. [PMID: 30320453 PMCID: PMC7379929 DOI: 10.1111/ppe.12520] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2018] [Revised: 08/08/2018] [Accepted: 09/01/2018] [Indexed: 11/30/2022]
Abstract
BACKGROUND Numerous studies use birth certificate data to examine the association between interpregnancy interval (IPI) and maternal and perinatal health outcomes. Substantive changes from the latest birth certificate revision have implications for examining this relationship. METHODS We provide an overview of the National Vital Statistics System and recent changes to the national birth certificate data file, which have implications for assessing IPI and perinatal health outcomes. We describe the calculation of IPI using birth certificate information and related measurement issues. Missing IPI values by maternal age, race and education using 2016 birth certificate data were also compared. Finally, we review and summarise data quality studies of select covariate and outcome variables (sociodemographic, maternal health and health behaviours, and infant health) conducted after the most recent 2003 birth certificate revision. RESULTS Substantive changes to data collection, dissemination and quality have occurred since the 2003 revision. These changes impact IPI measurement, trends and associations with perinatal health outcomes. Missing values of IPI were highest for older ages, lower education and non-Hispanic black women. Minimal differences were found when comparing IPI using different gestational age measures. Recent data quality studies pointed to substantial variation in data quality by item and across states. CONCLUSION Future studies examining the association of IPI with maternal and perinatal data using vital records should consider these aspects of the data in their research plan, sensitivity analyses and interpretation of findings.
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Affiliation(s)
- Marie E. Thoma
- Department of Family ScienceSchool of Public HealthUniversity of MarylandCollege ParkMaryland
| | - Dane A. De Silva
- Department of Family ScienceSchool of Public HealthUniversity of MarylandCollege ParkMaryland
| | - Marian F. MacDorman
- Maryland Population Research CenterUniversity of MarylandCollege ParkMaryland
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14
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Hutcheon JA, Moskosky S, Ananth CV, Basso O, Briss PA, Ferré CD, Frederiksen BN, Harper S, Hernández‐Díaz S, Hirai AH, Kirby RS, Klebanoff MA, Lindberg L, Mumford SL, Nelson HD, Platt RW, Rossen LM, Stuebe AM, Thoma ME, Vladutiu CJ, Ahrens KA. Good practices for the design, analysis, and interpretation of observational studies on birth spacing and perinatal health outcomes. Paediatr Perinat Epidemiol 2019; 33:O15-O24. [PMID: 30311958 PMCID: PMC6378590 DOI: 10.1111/ppe.12512] [Citation(s) in RCA: 47] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2018] [Revised: 08/22/2018] [Accepted: 08/25/2018] [Indexed: 12/04/2022]
Abstract
BACKGROUND Meta-analyses of observational studies have shown that women with a shorter interpregnancy interval (the time from delivery to start of a subsequent pregnancy) are more likely to experience adverse pregnancy outcomes, such as preterm delivery or small for gestational age birth, than women who space their births further apart. However, the studies used to inform these estimates have methodological shortcomings. METHODS In this commentary, we summarise the discussions of an expert workgroup describing good practices for the design, analysis, and interpretation of observational studies of interpregnancy interval and adverse perinatal health outcomes. RESULTS We argue that inferences drawn from research in this field will be improved by careful attention to elements such as: (a) refining the research question to clarify whether the goal is to estimate a causal effect vs describe patterns of association; (b) using directed acyclic graphs to represent potential causal networks and guide the analytic plan of studies seeking to estimate causal effects; (c) assessing how miscarriages and pregnancy terminations may have influenced interpregnancy interval classifications; (d) specifying how key factors such as previous pregnancy loss, pregnancy intention, and maternal socio-economic position will be considered; and (e) examining if the association between interpregnancy interval and perinatal outcome differs by factors such as maternal age. CONCLUSION This commentary outlines the discussions of this recent expert workgroup, and describes several suggested principles for study design and analysis that could mitigate many potential sources of bias.
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Affiliation(s)
- Jennifer A. Hutcheon
- Department of Obstetrics and GynaecologyUniversity of British ColumbiaVancouverBritish ColumbiaCanada
| | - Susan Moskosky
- Office of Population AffairsOffice of the Assistant Secretary for HealthRockvilleMaryland
| | - Cande V. Ananth
- Department of Obstetrics and GynecologyIrving College of Physicians and SurgeonsColumbia UniversityNew YorkNew York,Department of EpidemiologyJoseph L. Mailman School of Public HealthColumbia UniversityNew YorkNew York
| | - Olga Basso
- Department of Obstetrics and GynecologyRoyal Victoria HospitalResearch Institute of McGill University Health CentreMontrealQuebecCanada,Department of Epidemiology, Biostatistics, and Occupational HealthMcGill UniversityMontrealQuebecCanada
| | - Peter A. Briss
- National Center for Chronic Disease Prevention and Health PromotionCenters for Disease Control and PreventionAtlantaGeorgia
| | - Cynthia D. Ferré
- Maternal and Infant Health BranchDivision of Reproductive HealthNational Center for Chronic Disease Prevention and Health PromotionCenters for Disease Control and PreventionAtlantaGeorgia
| | - Brittni N. Frederiksen
- Office of Population AffairsOffice of the Assistant Secretary for HealthRockvilleMaryland
| | - Sam Harper
- Department of Epidemiology, Biostatistics, and Occupational HealthMcGill UniversityMontrealQuebecCanada
| | - Sonia Hernández‐Díaz
- Department of EpidemiologyHarvard T. H. Chan School of Public HealthBostonMassachusetts
| | - Ashley H. Hirai
- US Department of Health and Human ServicesHealth Resources and Services AdministrationMaternal and Child Health BureauOffice of Epidemiology and ResearchRockvilleMaryland
| | - Russell S. Kirby
- Department of Community and Family HealthUniversity of South Florida College of Public HealthTampaFlorida
| | - Mark A. Klebanoff
- Division of EpidemiologyDepartments of Pediatrics and Obstetrics and GynecologyCenter for Perinatal ResearchThe Research Institute at Nationwide Children's HospitalThe Ohio State UniversityColumbus Ohio
| | | | - Sunni L. Mumford
- Epidemiology BranchDivision of Intramural Population Health ResearchNational Institute of Child Health and Human DevelopmentBethesdaMaryland
| | - Heidi D. Nelson
- Department of Medical Informatics and Clinical EpidemiologyOregon Health and Science UniversityPortlandOregon
| | - Robert W. Platt
- Department of Epidemiology, Biostatistics, and Occupational HealthMcGill UniversityMontrealQuebecCanada
| | - Lauren M. Rossen
- Reproductive Statistics BranchDivision of Vital StatisticsCenters for Disease Control and PreventionNational Center for Health StatisticsHyattsvilleMaryland
| | - Alison M. Stuebe
- Department of Obstetrics and GynecologyUniversity of North Carolina School of MedicineChapel HillNorth Carolina,Department of Maternal and Child HealthGillings School of Global Public HealthChapel HillNorth Carolina
| | - Marie E. Thoma
- Department of Family ScienceUniversity of MarylandCollege ParkMaryland
| | - Catherine J. Vladutiu
- US Department of Health and Human ServicesHealth Resources and Services AdministrationMaternal and Child Health BureauOffice of Epidemiology and ResearchRockvilleMaryland
| | - Katherine A. Ahrens
- Office of Population AffairsOffice of the Assistant Secretary for HealthRockvilleMaryland
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15
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Schummers L, Hutcheon JA, Hernandez-Diaz S, Williams PL, Hacker MR, VanderWeele TJ, Norman WV. Association of Short Interpregnancy Interval With Pregnancy Outcomes According to Maternal Age. JAMA Intern Med 2018; 178:1661-1670. [PMID: 30383085 PMCID: PMC6583597 DOI: 10.1001/jamainternmed.2018.4696] [Citation(s) in RCA: 90] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
IMPORTANCE Interpregnancy intervals shorter than 18 months are associated with higher risks of adverse pregnancy outcomes. It is currently unknown whether short intervals are associated with increased risks among older women to the same extent as among younger women. OBJECTIVE To evaluate whether the association between short interpregnancy (delivery to conception) interval and adverse pregnancy outcomes is modified by maternal age. DESIGN, SETTING, AND PARTICIPANTS A population-based cohort study conducted in British Columbia, Canada, evaluated women with 2 or more singleton pregnancies from 2004 to 2014 with the first (index) pregnancy resulting in a live birth. Data analysis was performed from January 1 to July 20, 2018. MAIN OUTCOMES AND MEASURES Risks of maternal mortality or severe morbidity (eg, mechanical ventilation, blood transfusion >3 U, intensive care unit admission, organ failure, death), small-for-gestational age (<10th birthweight percentile for gestational age and sex), fetal and infant composite outcome (stillbirth, infant death, <third birthweight percentile for gestational age and sex, delivery <28 weeks), and spontaneous and indicated preterm delivery. Risks of each outcome for 3- to 24-month interpregnancy intervals were estimated, according to maternal age at index birth (20-34 and ≥35 years). Adjusted risk ratios (aRRs) comparing predicted risks at 3-, 6-, 9-, and 12-month intervals with risks at 18-month intervals for each age group were calculated. The potential role of other factors explaining any differences (unmeasured confounding) was examined in several sensitivity analyses. RESULTS Among 148 544 pregnancies, maternal mortality or severe morbidity risks were increased at 6-month compared with 18-month interpregnancy intervals for women aged 35 years or older (0.62% at 6 months vs 0.26% at 18 months; aRR, 2.39; 95% CI, 2.03-2.80), but not for women aged 20 to 34 years (0.23% at 6 months vs 0.25% at 18 months; aRR, 0.92; 95% CI, 0.83-1.02). Increased adverse fetal and infant outcome risks were more pronounced for women aged 20 to 34 years (2.0% at 6 months vs 1.4% at 18 months; aRR, 1.42; 95% CI, 1.36-1.47) than women 35 years or older (2.1% at 6 months vs 1.8% at 18 months; aRR, 1.15; 95% CI, 1.01-1.31). Risks of spontaneous preterm delivery at 6-month interpregnancy intervals were increased for women 20 to 34 years old (5.3% at 6 months vs 3.2% at 18 months; aRR, 1.65; 95% CI, 1.62-1.68) and to a lesser extent for women 35 years or older (5.0% at 6 months vs 3.6% at 18 months; aRR, 1.40; 95% CI, 1.31-1.49). Modest increases in risks of small-for-gestational age and indicated preterm delivery at short intervals did not vary meaningfully by maternal age. Sensitivity analyses suggested that observed associations were not fully explained by unmeasured confounding. CONCLUSIONS AND RELEVANCE The findings of this study suggest that short interpregnancy intervals are associated with increased risks for adverse pregnancy outcomes for women of all ages.
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Affiliation(s)
- Laura Schummers
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts.,Department of Family Practice, University of British Columbia, Vancouver, British Columbia, Canada
| | - Jennifer A Hutcheon
- Department of Obstetrics and Gynaecology, University of British Columbia, Vancouver, British Columbia, Canada
| | - Sonia Hernandez-Diaz
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
| | - Paige L Williams
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts.,Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
| | - Michele R Hacker
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts.,Department of Obstetrics and Gynecology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts
| | - Tyler J VanderWeele
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts.,Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
| | - Wendy V Norman
- Department of Family Practice, University of British Columbia, Vancouver, British Columbia, Canada
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16
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Ahrens KA, Hutcheon JA. Optimal Birth Spacing: What Can We Measure and What Do We Want to Know? Paediatr Perinat Epidemiol 2018; 32:149-151. [PMID: 29372564 DOI: 10.1111/ppe.12447] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Katherine A Ahrens
- Office of Population Affairs, Office of the Assistant Secretary for Health, US Department of Health and Human Services, Rockville, MD
| | - Jennifer A Hutcheon
- Department of Obstetrics and Gynaecology, University of British Columbia, Vancouver, Canada
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