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Hassen TA, Harris ML, Shifti DM, Beyene T, Khan MN, Feyissa TR, Chojenta C. Effects of short inter-pregnancy/birth interval on adverse perinatal outcomes in Asia-Pacific region: A systematic review and meta-analysis. PLoS One 2024; 19:e0307942. [PMID: 39083535 PMCID: PMC11290688 DOI: 10.1371/journal.pone.0307942] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2024] [Accepted: 07/16/2024] [Indexed: 08/02/2024] Open
Abstract
BACKGROUND Short inter-pregnancy or birth interval is associated with an increased risk of adverse perinatal outcomes. However, some emerging evidence questions this association and there are also inconsistencies among the existing findings. This study aimed to systematically review the evidence regarding the effect of short inter-pregnancy or birth intervals on adverse perinatal outcomes in the Asia-Pacific region. METHODS A comprehensive search of five databases was conducted targeting studies published between 2000 to 2023. Studies that reported on short inter-pregnancy or birth interval and examined adverse perinatal outcomes, such as low birthweight (LBW) preterm birth (PTB), small for gestational age (SGA), and neonatal mortality were included and appraised for methodological quality using the Joanna Briggs Institute critical appraisal tools. Three reviewers independently screened the studies and performed data extraction. Narrative synthesis and meta-analyses were conducted to summarise the key findings. RESULTS A total of 41 studies that fulfilled the inclusion criteria were included. A short-interpregnancy interval was associated with an increased risk of low birthweight (odds ratio [OR] = 1.65; 95%CI:1.39, 1.95), preterm birth (OR = 1.50; 95%CI: 1.35, 1.66), and small for gestational age (OR = 1.24; 95%CI:1.09, 1.41). We also found elevated odds of early neonatal mortality (OR = 1.91; 95%CI: 1.11, 3.29) and neonatal mortality (OR = 1.78; 95%CI: 1.25, 2.55) among women with short birth intervals. CONCLUSION This review indicates that both short inter-pregnancy and birth interval increased the risk of adverse perinatal outcomes. This underscores the importance of advocating for and implementing strategies to promote optimal pregnancy and birth spacing to reduce the occurrence of adverse perinatal outcomes. Reproductive health policies and programs need to be further strengthened and promote access to comprehensive family planning services and increase awareness about the importance of optimal pregnancy and birth spacing.
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Affiliation(s)
- Tahir Ahmed Hassen
- School of Nursing and Midwifery, College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia
- Centre for Women's Health Research, School of Medicine and Public Health, College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, NSW, Australia
| | - Melissa L Harris
- Centre for Women's Health Research, School of Medicine and Public Health, College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, NSW, Australia
| | - Desalegn Markos Shifti
- Centre for Women's Health Research, School of Medicine and Public Health, College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, NSW, Australia
- Faculty of Medicine, Child Health Research Centre, The University of Queensland, Brisbane, QLD, Australia
| | - Tesfalidet Beyene
- Centre for Women's Health Research, School of Medicine and Public Health, College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, NSW, Australia
| | - Md Nuruzzaman Khan
- Department of Population Science, Jatiya Kabi Kazi Nazrul Islam University, Trishal, Mymensingh, Bangladesh
| | - Tesfaye Regassa Feyissa
- Faculty of Health, Deakin Rural Health, School of Medicine, Deakin University, Warrnambool, Princes Hwy, VIC, Australia
| | - Catherine Chojenta
- School of Medicine and Public Health, College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, NSW, Australia
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Hu X, Yang Y, Wang L, Zhao C, Lyu X, Liu M, Wu H, Lei J, Li J, Yao M, Ding Y, Zhang H, He Y, Wang Y, Peng Z, Shen H, Wang Q, Zhang Y, Yan D, Yin J, Ma X. Interpregnancy Interval After Healthy Live Birth and Subsequent Spontaneous Abortion. JAMA Netw Open 2024; 7:e2417397. [PMID: 38884995 PMCID: PMC11184457 DOI: 10.1001/jamanetworkopen.2024.17397] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/18/2024] Open
Abstract
Importance Many studies have reported that the interpregnancy interval (IPI) is a potential modifiable risk factor for adverse perinatal outcomes. However, the association between IPI after live birth and subsequent spontaneous abortion (SA) is unclear. Objective To investigate the association of IPI after a healthy live birth and subsequent SA. Design, Setting, and Participants This prospective cohort study used data from 180 921 women aged 20 to 49 years who had a single healthy live birth and planned for another pregnancy and who participated in the Chinese National Free Prepregnancy Checkups Project from January 1, 2010, to December 31, 2020. Statistical analysis was conducted from June 20 to October 5, 2023. Exposure Interpregnancy interval, defined as the interval between the delivery date and conception of the subsequent pregnancy, was categorized as follows: less than 18 months, 18 to 23 months, 24 to 35 months, 36 to 59 months, and 60 months or longer. Main Outcomes and Measures The main outcome was SA. Multivariable-adjusted odds ratios (ORs) were calculated by logistic regression models to examine the association between IPI and the risk of SA. Dose-response associations were evaluated by restricted cubic splines. Results The analyses included 180 921 multiparous women (mean [SD] age at current pregnancy, 26.3 [2.8] years); 4380 SA events (2.4% of all participants) were recorded. A J-shaped association between IPI levels and SA was identified. In the fully adjusted model, compared with IPIs of 18 to 23 months, both short (<18 months) and long (≥36 months) IPIs showed an increased risk of SA (IPIs of <18 months: OR, 1.15 [95% CI, 1.04-1.27]; IPIs of 36-59 months: OR, 1.28 [95% CI, 1.15-1.43]; IPIs of ≥60 months: OR, 2.13 [95% CI, 1.78-2.56]). Results of the subgroup analysis by mode of previous delivery were consistent with the main analysis. Conclusions and Relevance This cohort study of multiparous women suggests that an IPI of shorter than 18 months or an IPI of 36 months or longer after a healthy live birth was associated with an increased risk of subsequent SA. The findings are valuable to make a rational prepregnancy plan and may facilitate the prevention of SA and improvement in neonatal outcomes.
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Affiliation(s)
- Xuan Hu
- National Research Institute for Family Planning, Beijing, China
- Department of Epidemiology and Health Statistics, School of Public Health, Medical College of Soochow University, Suzhou, Jiangsu, China
- National Human Genetic Resources Center, Beijing, China
| | - Ying Yang
- National Research Institute for Family Planning, Beijing, China
- National Human Genetic Resources Center, Beijing, China
- Graduate School of Peking Union Medical College, Beijing, China
| | - Long Wang
- Institute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, China
| | - Chuanyu Zhao
- National Research Institute for Family Planning, Beijing, China
- National Human Genetic Resources Center, Beijing, China
- Graduate School of Peking Union Medical College, Beijing, China
| | - Xinyi Lyu
- National Research Institute for Family Planning, Beijing, China
- National Human Genetic Resources Center, Beijing, China
- Graduate School of Peking Union Medical College, Beijing, China
| | - Meiya Liu
- National Research Institute for Family Planning, Beijing, China
- National Human Genetic Resources Center, Beijing, China
| | - Hanbin Wu
- National Research Institute for Family Planning, Beijing, China
- National Human Genetic Resources Center, Beijing, China
| | - Jueming Lei
- National Research Institute for Family Planning, Beijing, China
- National Human Genetic Resources Center, Beijing, China
| | - Jiaxin Li
- National Research Institute for Family Planning, Beijing, China
- National Human Genetic Resources Center, Beijing, China
- Graduate School of Peking Union Medical College, Beijing, China
| | - Mengxin Yao
- Department of Epidemiology and Health Statistics, School of Public Health, Medical College of Soochow University, Suzhou, Jiangsu, China
| | - Yaling Ding
- Department of Epidemiology and Health Statistics, School of Public Health, Medical College of Soochow University, Suzhou, Jiangsu, China
| | - Hongguang Zhang
- National Research Institute for Family Planning, Beijing, China
- National Human Genetic Resources Center, Beijing, China
| | - Yuan He
- National Research Institute for Family Planning, Beijing, China
- National Human Genetic Resources Center, Beijing, China
- Graduate School of Peking Union Medical College, Beijing, China
| | - Yuanyuan Wang
- National Research Institute for Family Planning, Beijing, China
- National Human Genetic Resources Center, Beijing, China
- Graduate School of Peking Union Medical College, Beijing, China
| | - Zuoqi Peng
- National Research Institute for Family Planning, Beijing, China
- National Human Genetic Resources Center, Beijing, China
| | - Haiping Shen
- Department of Maternal and Child Health, National Health Commission of the People's Republic of China, Beijing, China
| | - Qiaomei Wang
- Department of Maternal and Child Health, National Health Commission of the People's Republic of China, Beijing, China
| | - Yiping Zhang
- Department of Maternal and Child Health, National Health Commission of the People's Republic of China, Beijing, China
| | - Donghai Yan
- Department of Maternal and Child Health, National Health Commission of the People's Republic of China, Beijing, China
| | - Jieyun Yin
- Department of Epidemiology and Health Statistics, School of Public Health, Medical College of Soochow University, Suzhou, Jiangsu, China
- Jiangsu Key Laboratory of Preventive and Translational Medicine for Major Chronic Non-communicable Diseases, Soochow University, Jiangsu, China
- MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College of Soochow University, Suzhou, Jiangsu, China
| | - Xu Ma
- National Research Institute for Family Planning, Beijing, China
- National Human Genetic Resources Center, Beijing, China
- Graduate School of Peking Union Medical College, Beijing, China
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Gibbins KJ, Heuser CC. Parental Perceptions of Counseling Regarding Interpregnancy Interval after Stillbirth or Neonatal Death. Am J Perinatol 2024; 41:e1599-e1605. [PMID: 36918159 PMCID: PMC10582198 DOI: 10.1055/a-2053-8189] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/16/2023]
Abstract
OBJECTIVE Although guidelines exist regarding optimal interpregnancy interval (IPI) after live birth, both optimal IPI and counseling regarding recommended IPI (rIPI) after stillbirth or neonatal death is not well established. Our goal was to describe the counseling bereaved parents receive regarding IPI, parents' reactions to that counseling, and actual IPI after loss. STUDY DESIGN Bereaved parents who had a previous pregnancy result in stillbirth or neonatal death participated in a web-based survey. Questions included demographics, details of stillbirth or neonatal death, IPI counseling, and pregnancy after loss. Demographic information, rIPI, and ac'tual IPI were reported using descriptive statistics. The Wilcoxon's rank sum test was used to test the association between rIPI and mode of delivery. The Spearman's correlation was used to test the association between rIPI and maternal age. RESULTS A total of 275 surveys were analyzed. Mean gestational age of stillbirth delivery was 33.1 (standard deviation: 6.6) weeks. A total of 29% delivered via cesarean. Median rIPI was 6 (interquartile ratio [IQR]: 2-9) months, with the primary reason for IPI reported as the need to heal (74%). Delivery via cesarean was associated with longer rIPI, 9 versus 4.2 months (p < 0.0001). Maternal age was not associated with rIPI. Of 144 people who pursued pregnancy again, median time until attempting conception was 3.5 (IQR: 2-6) months. Median actual IPI was 6 (IQR: 4-10) months. CONCLUSION Bereaved parents receive a wide range of counseling regarding rIPI. The majority receive rIPI and pursue actual IPI shorter than current national and international recommendations for optimal IPI. KEY POINTS · There is variation in IPI recommendation after stillbirth/neonatal death.. · Cesarean birth is associated with longer IPI recommendation, but maternal age is not.. · Median IPI after stillbirth or neonatal death was short: 6 (IQR: 4-10) months..
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Affiliation(s)
- Karen J Gibbins
- Department of Obstetrics and Gynecology, Oregon Health & Science University, Portland, Oregon
- Department of Obstetrics and Gynecology, University of Utah, Salt Lake City, Utah
| | - Cara C Heuser
- Department of Obstetrics and Gynecology, University of Utah, Salt Lake City, Utah
- Department of Obstetrics and Gynecology, Intermountain Health, Murray, Utah
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Sakai-Bizmark R, Jackson NJ, Wu F, Marr EH, Kumamaru H, Estevez D, Gemmill A, Moreno JC, Henwood BF. Short Interpregnancy Intervals Among Women Experiencing Homelessness in Colorado. JAMA Netw Open 2024; 7:e2350242. [PMID: 38175646 PMCID: PMC10767616 DOI: 10.1001/jamanetworkopen.2023.50242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Accepted: 11/15/2023] [Indexed: 01/05/2024] Open
Abstract
Importance Short interpregnancy intervals (SIPIs) are associated with increased risk of adverse maternal and neonatal outcomes. Disparities exist across socioeconomic status, but there is little information on SIPIs among women experiencing homelessness. Objective To investigate (1) differences in rates and characteristics of SIPIs between women experiencing homelessness and domiciled women, (2) whether the association of homelessness with SIPIs differs across races and ethnicities, and (3) whether the association between SIPIs of less than 6 months (very short interpregnancy interval [VSIPIs]) and maternal and neonatal outcomes differs between participant groups. Design, Setting, and Participants This cohort study used a Colorado statewide database linking the Colorado All Payer Claims Database, Homeless Management Information System, death records, and infant birth records. Participants included all women who gave birth between January 1, 2016, and December 31, 2021. Data were analyzed from September 1, 2022, to May 10, 2023. Exposures Homelessness and race and ethnicity. Main Outcomes and Measures The primary outcome consisted of SIPI, a binary variable indicating whether the interval between delivery and conception of the subsequent pregnancy was shorter than 18 months. The association of VSIPI with maternal and neonatal outcomes was also tested. Results A total of 77 494 women (mean [SD] age, 30.7 [5.3] years) were included in the analyses, of whom 636 (0.8%) were women experiencing homelessness. The mean (SD) age was 29.5 (5.4) years for women experiencing homelessness and 30.7 (5.3) years for domiciled women. In terms of race and ethnicity, 39.3% were Hispanic, 7.3% were non-Hispanic Black, and 48.4% were non-Hispanic White. Associations between homelessness and higher odds of SIPI (adjusted odds ratio [AOR], 1.23 [95% CI, 1.04-1.46]) were found. Smaller associations between homelessness and SIPI were found among non-Hispanic Black (AOR, 0.59 [95% CI, 0.37-0.96]) and non-Hispanic White (AOR, 0.57 [95% CI, 0.39-0.84]) women compared with Hispanic women. A greater association of VSIPI with emergency department visits and low birth weight was found among women experiencing homelessness compared with domiciled women, although no significant differences were detected. Conclusions and Relevance In this cohort study of women who gave birth from 2016 to 2021, an association between homelessness and higher odds of SIPIs was found. These findings highlight the importance of conception management among women experiencing homelessness. Racial and ethnic disparities should be considered when designing interventions.
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Affiliation(s)
- Rie Sakai-Bizmark
- The Lundquist Institute for Biomedical Innovation at Harbor-UCLA (University of California, Los Angeles) Medical Center, Torrance
- Department of Pediatrics, Harbor-UCLA Medical Center and David Geffen School of Medicine at UCLA, Torrance
| | - Nicholas J. Jackson
- Department of Medicine Statistics Core, David Geffen School of Medicine at UCLA, Los Angeles
| | - Frank Wu
- The Lundquist Institute for Biomedical Innovation at Harbor-UCLA (University of California, Los Angeles) Medical Center, Torrance
| | - Emily H. Marr
- The Lundquist Institute for Biomedical Innovation at Harbor-UCLA (University of California, Los Angeles) Medical Center, Torrance
| | - Hiraku Kumamaru
- Department of Healthcare Quality Assessment, The University of Tokyo School of Medicine, Tokyo, Japan
| | - Dennys Estevez
- The Lundquist Institute for Biomedical Innovation at Harbor-UCLA (University of California, Los Angeles) Medical Center, Torrance
| | - Alison Gemmill
- Department of Population, Family and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Jessica C. Moreno
- The Lundquist Institute for Biomedical Innovation at Harbor-UCLA (University of California, Los Angeles) Medical Center, Torrance
| | - Benjamin F. Henwood
- USC Suzanne Dworak-Peck School of Social Work, University of Southern California, Los Angeles
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Ni W, Gao X, Su X, Cai J, Zhang S, Zheng L, Liu J, Feng Y, Chen S, Ma J, Cao W, Zeng F. Birth spacing and risk of adverse pregnancy and birth outcomes: A systematic review and dose-response meta-analysis. Acta Obstet Gynecol Scand 2023; 102:1618-1633. [PMID: 37675816 PMCID: PMC10619614 DOI: 10.1111/aogs.14648] [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] [Subscribe] [Scholar Register] [Received: 02/11/2023] [Revised: 06/20/2023] [Accepted: 06/30/2023] [Indexed: 09/08/2023]
Abstract
INTRODUCTION The association between extreme birth spacing and adverse outcomes is controversial, and available evidence is fragmented into different classifications of birth spacing. MATERIAL AND METHODS We conducted a systematic review of observational studies to evaluate the association between birth spacing (i.e., interpregnancy interval and interoutcome interval) and adverse outcomes (i.e., pregnancy complications, adverse birth outcomes). Pooled odds ratios (ORs) with 95% confidence intervals (CI) were calculated using a random-effects model, and the dose-response relationships were evaluated using generalized least squares trend estimation. RESULTS A total of 129 studies involving 46 874 843 pregnancies were included. In the general population, compared with an interpregnancy interval of 18-23 months, extreme intervals (<6 months and ≥ 60 months) were associated with an increased risk of adverse outcomes, including preterm birth, small for gestational age, low birthweight, fetal death, birth defects, early neonatal death, and premature rupture of fetal membranes (pooled OR range: 1.08-1.56; p < 0.05). The dose-response analyses further confirmed these J-shaped relationships (pnon-linear < 0.001-0.009). Long interpregnancy interval was only associated with an increased risk of preeclampsia and gestational diabetes (pnon-linear < 0.005 and pnon-linear < 0.001, respectively). Similar associations were observed between interoutcome interval and risk of low birthweight and preterm birth (pnon-linear < 0.001). Moreover, interoutcome interval of ≥60 months was associated with an increased risk of cesarean delivery (pooled OR 1.72, 95% CI 1.04-2.83). For pregnancies following preterm births, an interpregnancy interval of 9 months was not associated with an increased risk of preterm birth, according to dose-response analyses (pnon-linear = 0.008). Based on limited evidence, we did not observe significant associations between interpregnancy interval or interoutcome interval after pregnancy losses and risk of small for gestational age, fetal death, miscarriage, or preeclampsia (pooled OR range: 0.76-1.21; p > 0.05). CONCLUSIONS Extreme birth spacing has extensive adverse effects on maternal and infant health. In the general population, interpregnancy interval of 18-23 months may be associated with potential benefits for both mothers and infants. For women with previous preterm birth, the optimal birth spacing may be 9 months.
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Affiliation(s)
- Wanze Ni
- Department of Public Health and Preventive Medicine, School of MedicineJinan UniversityGuangzhouGuangdongChina
| | - Xuping Gao
- Department of Public Health and Preventive Medicine, School of MedicineJinan UniversityGuangzhouGuangdongChina
| | - Xin Su
- Department of Public Health and Preventive Medicine, School of MedicineJinan UniversityGuangzhouGuangdongChina
| | - Jun Cai
- Department of Public Health and Preventive Medicine, School of MedicineJinan UniversityGuangzhouGuangdongChina
| | - Shiwen Zhang
- Department of Public Health and Preventive Medicine, School of MedicineJinan UniversityGuangzhouGuangdongChina
| | - Lu Zheng
- Department of Public Health and Preventive Medicine, School of MedicineJinan UniversityGuangzhouGuangdongChina
| | - Jiazi Liu
- Department of Public Health and Preventive Medicine, School of MedicineJinan UniversityGuangzhouGuangdongChina
| | - Yonghui Feng
- Department of Public Health and Preventive Medicine, School of MedicineJinan UniversityGuangzhouGuangdongChina
| | - Shiyun Chen
- Department of Public Health and Preventive Medicine, School of MedicineJinan UniversityGuangzhouGuangdongChina
| | - Junrong Ma
- Department of Public Health and Preventive Medicine, School of MedicineJinan UniversityGuangzhouGuangdongChina
| | - Wenting Cao
- Department of Medical Statistics & Epidemiology, International School of Public Health and One HealthHainan Medical UniversityHaikouHainanChina
| | - Fangfang Zeng
- Department of Public Health and Preventive Medicine, School of MedicineJinan UniversityGuangzhouGuangdongChina
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Gebremedhin AT, Regan AK, Håberg SE, Luke Marinovich M, Tessema GA, Pereira G. The influence of birth outcomes and pregnancy complications on interpregnancy interval: a quantile regression analysis. Ann Epidemiol 2023; 85:108-112.e4. [PMID: 37209928 DOI: 10.1016/j.annepidem.2023.05.011] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Revised: 05/09/2023] [Accepted: 05/15/2023] [Indexed: 05/22/2023]
Abstract
PURPOSE To ascertain whether adverse pregnancy outcomes at first pregnancy influence subsequent interpregnancy intervals (IPIs) and whether the size of this effect varies with IPI distribution METHODS: We included 251,892 mothers who gave birth to their first two singletons in Western Australia, from 1980 to 2015. Using quantile regression, we investigated whether gestational diabetes, hypertension, or preeclampsia in the first pregnancy influenced IPI to subsequent pregnancy and whether effects were consistent across the IPI distribution. We considered intervals at the 25th centile of the distribution as 'short' and the 75th centile as 'long'. RESULTS The average IPI was 26.6 mo. It was 0.56 mo (95% CI: 0.25-0.88 mo) and 1.12 mo (95% CI: 0.56 - 1.68 mo) longer after preeclampsia, and gestational hypertension respectively. There was insufficient evidence to suggest that the association between previous pregnancy complications and IPI differed by the extent of the interval. However, associations with marital status, race/ethnicity and stillbirth contributed to either shortening or prolonging IPIs differently across the distribution of IPI. CONCLUSION Mothers with preeclampsia and gestational hypertension had slightly longer subsequent IPIs than mothers whose pregnancies were not complicated by these conditions. However, the extent of the delay was small (<2 mo).
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Affiliation(s)
- Amanuel T Gebremedhin
- Curtin School of Population Health, Curtin University, Perth, Western Australia, Australia.
| | - Annette K Regan
- Curtin School of Population Health, Curtin University, Perth, Western Australia, Australia; School of Population Health, Texas A&M University, College Station
| | - Siri E Håberg
- Centre for Fertility and Health (CeFH), Norwegian Institute of Public Health, Oslo, Norway
| | - M Luke Marinovich
- Curtin School of Population Health, Curtin University, Perth, Western Australia, Australia
| | - Gizachew A Tessema
- Curtin School of Population Health, Curtin University, Perth, Western Australia, Australia
| | - Gavin Pereira
- Curtin School of Population Health, Curtin University, Perth, Western Australia, Australia; enAble Institute, Curtin University, Kent Street, Bentley, Western Australia, Australia; Centre for Fertility and Health (CeFH), Norwegian Institute of Public Health, Oslo, Norway
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Bandyopadhyay A, Jones H, Parker M, Marchant E, Evans J, Todd C, Rahman MA, Healy J, Win TL, Rowe B, Moore S, Jones A, Brophy S. Weighting of risk factors for low birth weight: a linked routine data cohort study in Wales, UK. BMJ Open 2023; 13:e063836. [PMID: 36764720 PMCID: PMC9923297 DOI: 10.1136/bmjopen-2022-063836] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/12/2023] Open
Abstract
OBJECTIVE Globally, 20 million children are born with a birth weight below 2500 g every year, which is considered as a low birthweight (LBW) baby. This study investigates the contribution of modifiable risk factors in a nationally representative Welsh e-cohort of children and their mothers to inform opportunities to reduce LBW prevalence. DESIGN A longitudinal cohort study based on anonymously linked, routinely collected multiple administrative data sets. PARTICIPANTS The cohort, (N=693 377) comprising of children born between 1 January 1998 and 31 December 2018 in Wales, was selected from the National Community Child Health Database. OUTCOME MEASURES The risk factors associated with a binary LBW (outcome) variable were investigated with multivariable logistic regression (MLR) and decision tree (DT) models. RESULTS The MLR model showed that non-singleton children had the highest risk of LBW (adjusted OR 21.74 (95% CI 21.09 to 22.40)), followed by pregnancy interval less than 1 year (2.92 (95% CI 2.70 to 3.15)), maternal physical and mental health conditions including diabetes (2.03 (1.81 to 2.28)), anaemia (1.26 (95% CI 1.16 to 1.36)), depression (1.58 (95% CI 1.43 to 1.75)), serious mental illness (1.46 (95% CI 1.04 to 2.05)), anxiety (1.22 (95% CI 1.08 to 1.38)) and use of antidepressant medication during pregnancy (1.92 (95% CI 1.20 to 3.07)). Additional maternal risk factors include smoking (1.80 (95% CI 1.76 to 1.84)), alcohol-related hospital admission (1.60 (95% CI 1.30 to 1.97)), substance misuse (1.35 (95% CI 1.29 to 1.41)) and evidence of domestic abuse (1.98 (95% CI 1.39 to 2.81)). Living in less deprived area has lower risk of LBW (0.70 (95% CI 0.67 to 0.72)). The most important risk factors from the DT models include maternal factors such as smoking, maternal weight, substance misuse record, maternal age along with deprivation-Welsh Index of Multiple Deprivation score, pregnancy interval and birth order of the child. CONCLUSION Resources to reduce the prevalence of LBW should focus on improving maternal health, reducing preterm births, increasing awareness of what is a sufficient pregnancy interval, and to provide adequate support for mothers' mental health and well-being.
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Affiliation(s)
- Amrita Bandyopadhyay
- National Centre for Population Health and Wellbeing Research, Swansea University Medical School, Swansea, West Glamorgan, UK
| | - Hope Jones
- National Centre for Population Health and Wellbeing Research, Swansea University Medical School, Swansea, West Glamorgan, UK
| | - Michael Parker
- National Centre for Population Health and Wellbeing Research, Swansea University Medical School, Swansea, West Glamorgan, UK
| | - Emily Marchant
- National Centre for Population Health and Wellbeing Research, Swansea University Medical School, Swansea, West Glamorgan, UK
| | - Julie Evans
- Keir Hardie University Health Park, Public Health Wales, Cardiff, UK
| | - Charlotte Todd
- Keir Hardie University Health Park, Public Health Wales, Cardiff, UK
| | - Muhammad A Rahman
- Cardiff School of Technologies, Cardiff Metropolitan University, Llandaff Campus, Cardiff, UK
| | - James Healy
- National Centre for Population Health and Wellbeing Research, Swansea University Medical School, Swansea, West Glamorgan, UK
- Office for National Statistics, Government Buildings, Cardiff Road, Duffryn, Newport, UK
| | - Tint Lwin Win
- National Centre for Population Health and Wellbeing Research, Swansea University Medical School, Swansea, West Glamorgan, UK
| | - Ben Rowe
- National Police Chiefs' Council Lead for Mental Health and Age, London, UK
| | - Simon Moore
- Violence Research Group, School of Dentistry, Cardiff University, Cardiff, UK
- Security, Crime, Intelligence Institute, Cardiff University, SPARK, Maindy Road, Cardiff, UK
| | - Angela Jones
- Keir Hardie University Health Park, Public Health Wales, Cardiff, UK
| | - Sinead Brophy
- National Centre for Population Health and Wellbeing Research, Swansea University Medical School, Swansea, West Glamorgan, UK
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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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Mühlrad H, Björkegren E, Haraldson P, Bohm-Starke N, Kopp Kallner H, Brismar Wendel S. Interpregnancy interval and maternal and neonatal morbidity: a nationwide cohort study. Sci Rep 2022; 12:17402. [PMID: 36258030 PMCID: PMC9579163 DOI: 10.1038/s41598-022-22290-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2022] [Accepted: 10/12/2022] [Indexed: 01/10/2023] Open
Abstract
This study aimed to assess the association between interpregnancy interval (IPI)-the time from childbirth to conception of the next pregnancy-and maternal and neonatal morbidity. The World Health Organization (WHO) currently recommends an IPI of at least 24 months after a live birth to reduce adverse birth outcomes. However, assessing the relationship between IPI and perinatal outcome is complicated by confounding factors. We conducted a nationwide population-based cohort study using Swedish registry data, allowing for adjustment of maternal characteristics and health at first birth. The study population consisted of all women with a singleton, live, and vaginal first birth with a second singleton birth within five years during 1997-2017, covering 327,912 women and 655,824 neonates. IPI was grouped into six-month intervals with 24-29 months as the reference. The association between IPI and morbidity was examined using multivariate logistic regression. For women having a vaginal delivery at their first birth, intervals < 24-29 months were associated with decreased maternal morbidity and unaffected neonatal morbidity. Intervals > 24-29 months were associated with increased maternal and neonatal morbidity. Our findings question the relevance of WHO's recommendation of an IPI of at least 24 months in a high-income country.
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Affiliation(s)
- Hanna Mühlrad
- Department of Clinical Sciences, Karolinska Institutet, Danderyd Hospital, Stockholm, Sweden.
- Department of Women's Health, Danderyd Hospital, Stockholm, Sweden.
- The Institute for Evaluation of Labor Market and Education Policy, Uppsala, Sweden.
| | | | - Philip Haraldson
- Department of Clinical Sciences, Karolinska Institutet, Danderyd Hospital, Stockholm, Sweden
- Department of Women's Health, Danderyd Hospital, Stockholm, Sweden
| | - Nina Bohm-Starke
- Department of Clinical Sciences, Karolinska Institutet, Danderyd Hospital, Stockholm, Sweden
- Department of Women's Health, Danderyd Hospital, Stockholm, Sweden
| | - Helena Kopp Kallner
- Department of Clinical Sciences, Karolinska Institutet, Danderyd Hospital, Stockholm, Sweden
- Department of Women's Health, Danderyd Hospital, Stockholm, Sweden
| | - Sophia Brismar Wendel
- Department of Clinical Sciences, Karolinska Institutet, Danderyd Hospital, Stockholm, Sweden
- Department of Women's Health, Danderyd Hospital, Stockholm, Sweden
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10
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Gurmu L, Wakgari N, Kolola T, Danusa KT. Effect of short inter-pregnancy interval on perinatal outcomes among pregnant women in North-west Ethiopia: A prospective cohort study. Front Public Health 2022; 10:953481. [PMID: 36003632 PMCID: PMC9393389 DOI: 10.3389/fpubh.2022.953481] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Accepted: 07/13/2022] [Indexed: 12/01/2022] Open
Abstract
Background Inter-pregnancy interval (IPI) is the elapse of time between the end of one pregnancy and the conception of another pregnancy, while birth to pregnancy interval, is the time gap between live birth and the conception of the next pregnancy. Hence, this study assessed the effects of short inter-pregnancy intervals on perinatal outcomes among women who gave birth in public health institutions of Assosa zone, North-west Ethiopia. Methods An institution-based prospective cohort study was conducted among 456 mothers who visited health facilities for the fourth antenatal care appointment (152 exposed and 304 non-exposed). Women who gave their recent birth with the pregnancy interval of <24 months or/and had an abortion history of <6 months were considered as exposed otherwise non-exposed. Data was collected through face-to-face interviews by using questionnaires and checklists. The collected data was entered using Epi-data and exported to STATA for analysis. A log-binomial regression model was used to identify the effect of short inter-pregnancy intervals on the perinatal outcomes. Results The overall incidence of adverse perinatal outcomes is 24%. Mothers who had short inter-pregnancy intervals have two times the risk to develop low birth weight (RR: 2.1, 95%CI: 1.16–3.82), and low Apgar score (RR: 2.1, 95%CI: 1.06–2.69). Similarly, the risk to develop small for gestational age (RR: 2.6, 95% CI: 1.19–7.54), and preterm birth (RR: 3.14, 95%CI: 1.05–4.66) was about 3 times among mothers who had short inter-pregnancy interval compared to mothers who had an optimal inter-pregnancy interval. Conclusion Short inter-pregnancy interval increases the risk of low birth weight, preterm birth, small for gestational age, and low Apgar score. Health Policy makers, National health managers and health care providers should work on increasing the awareness of optimal inter-pregnancy intervals and postpartum family planning utilization to reduce the effect of short inter-pregnancy intervals on adverse perinatal outcomes.
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Affiliation(s)
- Leta Gurmu
- Department of Midwifery, College of Health Science, Assosa University, Assosa, Ethiopia
| | - Negash Wakgari
- Department of Midwifery, College of Medicine and Health Sciences, Ambo University, Ambo, Ethiopia
| | - Tufa Kolola
- Department of Public Health, College of Medicine and Health Sciences, Ambo University, Ambo, Ethiopia
| | - Kababa Temesgen Danusa
- Department of Midwifery, College of Medicine and Health Sciences, Ambo University, Ambo, Ethiopia
- *Correspondence: Kababa Temesgen Danusa
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11
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Xu T, Miao H, Chen Y, Luo L, Guo P, Zhu Y. Association of Interpregnancy Interval With Adverse Birth Outcomes. JAMA Netw Open 2022; 5:e2216658. [PMID: 35696164 PMCID: PMC9194661 DOI: 10.1001/jamanetworkopen.2022.16658] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Accepted: 04/25/2022] [Indexed: 02/05/2023] Open
Abstract
IMPORTANCE Many studies have reported an association of interpregnancy interval (IPI) between 2 consecutive births with adverse birth outcomes in low- and middle-income countries. However, most of these studies ignore the implications of some unmeasured confounders. OBJECTIVE To explore the association of IPI with adverse perinatal outcomes. DESIGN, SETTING, AND PARTICIPANTS This large-scale cohort study used the Guangdong Provincial Women and Children Health Information System in Guangdong Province, China, to obtain birth data recorded between January 1, 2014, and December 31, 2020. Matched-sibling design was used. The final cohort included first-born and second-born sibling pairs delivered by mothers who were permanent residents of Guangdong Province. EXPOSURES The exposure variable was IPI, which was categorized as follows: less than 6, 6 to 11, 12 to 17, 18 to 23, 24 to 29, 30 to 35, and 36 or more months. MAIN OUTCOMES AND MEASURES The outcome variables were adverse birth outcomes: preterm birth (PTB, gestational age <37 weeks), low birth weight (LBW, <2500 g), and small for gestational age (SGA). Adjusted odds ratio (OR) and interaction odds ratio (IOR) associated with IPI were calculated. RESULTS The study consisted of 725 392 sibling pairs of multiparous mothers. Among these mothers, 718 111 (99.0%) were aged 20 to 34 years, and 715 583 (98.7%) were of Han Chinese ethnicity. Unmatched analysis showed that a short IPI of less than 6 months was associated with higher risks of PTB (adjusted OR, 1.96; 95% CI, 1.87-2.06), LBW (adjusted OR, 1.88; 95% CI, 1.79-1.98), and SGA (adjusted OR, 1.34; 95% CI, 1.30-1.38) compared with an IPI of 18 to 23 months. These associations were attenuated in the matched-sibling analysis. An association of short IPI (<6 months) with PTB (adjusted IOR, 1.40; 95% CI, 1.30-1.51), LBW (adjusted IOR, 1.30; 95% CI, 1.21-1.40), and SGA (adjusted IOR, 1.16; 95% CI, 1.11-1.22) remained in the matched analysis. For IPI of 36 months or more, the odds of PTB (adjusted OR, 1.08; 95% CI, 1.03-1.14) and LBW (adjusted OR, 1.13; 95% CI, 1.07-1.19) in the unmatched analysis were also greater than the reference interval (18-23 months), but not for SGA (adjusted OR, 0.96; 95% CI, 0.93-0.99). Associations between a long IPI (≥36 months) and PTB (adjusted IOR, 1.10; 95% CI, 1.02-1.19) and LBW (adjusted IOR, 1.16; 95% CI, 1.07-1.26) remained through the sibling comparisons. CONCLUSIONS AND RELEVANCE Results of this study indicated that mothers with a short (<6 months) or long (≥36 months) IPI had greater odds of adverse birth outcomes. The findings may inform family planning policies and guide individuals and families who are planning for another pregnancy in China.
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Affiliation(s)
- Ting Xu
- Department of Preventive Medicine, Shantou University Medical College, Shantou, China
| | - Huazhang Miao
- Department of Healthcare, Guangdong Women and Children Hospital, Guangzhou, China
| | - Yuliang Chen
- Department of Medical Quality Management, Nanfang Hospital, Guangzhou, China
| | - Limei Luo
- Department of Radiation Oncology, Cancer Hospital of Shantou University Medical College, Shantou, China
| | - Pi Guo
- Department of Preventive Medicine, Shantou University Medical College, Shantou, China
- Guangdong Provincial Key Laboratory of Infectious Diseases and Molecular Immunopathology, Shantou, China
| | - Yingxian Zhu
- Department of Healthcare, Guangdong Women and Children Hospital, Guangzhou, China
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12
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Holland ML, Taylor RM, Condon E, Rinne GR, Bleicher S, Seldin ML, Sadler LS, Li C. Using probabilistic record linkage and propensity-score matching to identify a community-based comparison population. Res Nurs Health 2022; 45:390-400. [PMID: 35388528 PMCID: PMC9064948 DOI: 10.1002/nur.22226] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Revised: 03/03/2022] [Accepted: 03/15/2022] [Indexed: 11/06/2022]
Abstract
In retrospective cohort studies of interventions disseminated to communities, it is challenging to find comparison groups with high-quality data for evaluation. We present one methodological approach as part of our study of birth outcomes of second-born children in a home visiting (HV) program targeting first-time mothers. We used probabilistic record linkage to link Connecticut's Nurturing Families Network (NFN) HV program and birth-certificate data for children born from 2005 to 2015. We identified two potential comparison groups: a propensity-score-matched group from the remaining birth certificate sample and eligible-but-unenrolled families. An analysis of interpregnancy interval (IPI) is presented to exemplify the approach. We identified the birth certificates of 4822 NFN families. The propensity-score-matched group had 14,219 families (3-to-1 matching) and we identified 1101 eligible-but-unenrolled families. Covariates were well balanced for the propensity-score-matched group, but poorly balanced for the eligible-but-unenrolled group. No program effect on IPI was found. By combining propensity-score matching and probabilistic record linkage, we were able to retrospectively identify relatively large comparison groups for quasi-experimental research. Using birth certificate data, we accessed outcomes for all of these individuals from a single data source. Multiple comparison groups allow us to confirm findings when each method has some limitations. Other researchers seeking community-based comparison groups could consider a similar approach.
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Affiliation(s)
- Margaret L Holland
- Child Study Center, Yale School of Medicine, Yale School of Nursing, Yale University, New Haven, Connecticut, USA
| | - Rose M Taylor
- Yale School of Nursing, Yale University, New Haven, Connecticut, USA
| | - Eileen Condon
- Yale School of Nursing, Yale University, New Haven, Connecticut, USA
| | - Gabrielle R Rinne
- Yale School of Nursing, Yale University, New Haven, Connecticut, USA
| | - Sarah Bleicher
- Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - Margaret L Seldin
- Yale School of Nursing, Yale University, New Haven, Connecticut, USA
| | - Lois S Sadler
- Child Study Center, Yale School of Medicine, Yale School of Nursing, Yale University, New Haven, Connecticut, USA
- Yale School of Nursing, Yale University, New Haven, Connecticut, USA
| | - Connie Li
- Yale School of Public Health, Yale University, New Haven, Connecticut, USA
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13
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Rao J, Fan D, Ma H, Lin D, Zhang H, Zhou Z, Li P, Chen G, Lu D, Liu Y, Wu Z, He J, Liu X, Peng B, Guo X, Liu Z. Is there an optimal inter-delivery interval in women who underwent trial of labor after cesarean delivery (TOLAC)? Reprod Health 2022; 19:14. [PMID: 35057818 PMCID: PMC8772215 DOI: 10.1186/s12978-021-01319-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2021] [Accepted: 12/23/2021] [Indexed: 11/21/2022] Open
Abstract
BACKGROUND Inter-delivery interval (IDI) has been proven to be a factor associated with adverse maternal and neonatal outcomes. However, the optimal IDI in trial of labor after cesarean delivery (TOLAC) remains unclear. We aimed to investigate the association between IDI and major maternal and neonatal outcomes in women who underwent TOLAC. METHODS A multicenter, retrospective cohort study including five hospitals was conducted between January 2018 and December 2019 in Foshan, China. This study included 1080 pregnant women with one or two cesarean deliveries who attempted a TOLAC. Data on maternal and neonatal outcomes were collected from the electronic record system. Maternal and neonatal outcomes in different groups of IDI were compared by univariate and multivariable analyses. RESULTS A short IDI of < 24 months did not show a statistically significant association with uterine rupture in the univariate analysis (P = 0.668). In multivariable analysis, the incidences of postpartum hemorrhage (OR 19.6, 95% CI:4.4-90.9, P < 0.05), preterm birth (OR 5.5, 95% CI:1.5-21.3, P < 0.05), and low birth weight (OR 3.5, 95% CI:1.2-10.3, P < 0.05) were significantly increased in women with an IDI of < 24 months than in those with a normal interval (24-59 months). Infection morbidity (OR 1.8, 95% CI:1.4-7.9, P < 0.05), transfusion (OR 7.4, 95% CI:1.4-40.0, P < 0.05), and neonatal unit admission (OR 2.6, 95% CI:1.4-5.0, P < 0.05) were significantly increased in women with an IDI of 120 months or more than in those with a normal interval. Postpartum hemorrhage (P = 0.062) had a trend similar to that of a significant IDI of 120 months or more. We found no statistically significant difference in maternal and neonatal outcomes between 24-59 months and 60-119 months. CONCLUSIONS An IDI of less than 24 months or 120 months or more increased the risk of major maternal and neonatal outcomes. We recommend that the optimal interval for women who underwent TOLAC should be 24 to 119 months.
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Affiliation(s)
- Jiaming Rao
- Foshan Fetal Medicine Institute, Affiliated Foshan Maternity & Child Healthcare Hospital, Southern Medical University (Foshan Maternity & Child Healthcare Hospital), Renminxi Road 11, Foshan, 528000, Guangdong, China
| | - Dazhi Fan
- Foshan Fetal Medicine Institute, Affiliated Foshan Maternity & Child Healthcare Hospital, Southern Medical University (Foshan Maternity & Child Healthcare Hospital), Renminxi Road 11, Foshan, 528000, Guangdong, China
| | - Huiting Ma
- Foshan Fetal Medicine Institute, Affiliated Foshan Maternity & Child Healthcare Hospital, Southern Medical University (Foshan Maternity & Child Healthcare Hospital), Renminxi Road 11, Foshan, 528000, Guangdong, China
| | - Dongxin Lin
- Foshan Fetal Medicine Institute, Affiliated Foshan Maternity & Child Healthcare Hospital, Southern Medical University (Foshan Maternity & Child Healthcare Hospital), Renminxi Road 11, Foshan, 528000, Guangdong, China
| | - Huishan Zhang
- Foshan Fetal Medicine Institute, Affiliated Foshan Maternity & Child Healthcare Hospital, Southern Medical University (Foshan Maternity & Child Healthcare Hospital), Renminxi Road 11, Foshan, 528000, Guangdong, China
| | - Zixing Zhou
- Foshan Fetal Medicine Institute, Affiliated Foshan Maternity & Child Healthcare Hospital, Southern Medical University (Foshan Maternity & Child Healthcare Hospital), Renminxi Road 11, Foshan, 528000, Guangdong, China
| | - Pengsheng Li
- Foshan Fetal Medicine Institute, Affiliated Foshan Maternity & Child Healthcare Hospital, Southern Medical University (Foshan Maternity & Child Healthcare Hospital), Renminxi Road 11, Foshan, 528000, Guangdong, China
| | - Gengdong Chen
- Foshan Fetal Medicine Institute, Affiliated Foshan Maternity & Child Healthcare Hospital, Southern Medical University (Foshan Maternity & Child Healthcare Hospital), Renminxi Road 11, Foshan, 528000, Guangdong, China
| | - Demei Lu
- Department of Obstetrics, Affiliated Foshan Maternity & Child Healthcare Hospital, Southern Medical University (Foshan Maternity & Child Healthcare Hospital), Renminxi Road 11, Foshan, 528000, Guangdong, China
| | - Yan Liu
- Department of Obstetrics, Affiliated Foshan Maternity & Child Healthcare Hospital, Southern Medical University (Foshan Maternity & Child Healthcare Hospital), Renminxi Road 11, Foshan, 528000, Guangdong, China
| | - Zhaoxia Wu
- Department of Obstetrics, Nanhai Maternity & Child Healthcare Hospital, Foshan, 528200, Guangdong, China
| | - Jieyun He
- Department of Obstetrics, Shunde Maternity & Child Healthcare Hospital, Foshan, 528300, Guangdong, China
| | - Xinjuan Liu
- Department of Obstetrics, The People's Hospital of Gaoming, Foshan, 528500, Guangdong, China
| | - BingJie Peng
- Department of Obstetrics, Sanshui Maternity & Child Healthcare Hospital, Foshan, 528100, Guangdong, China
| | - Xiaoling Guo
- Department of Obstetrics, Affiliated Foshan Maternity & Child Healthcare Hospital, Southern Medical University (Foshan Maternity & Child Healthcare Hospital), Renminxi Road 11, Foshan, 528000, Guangdong, China.
| | - Zhengping Liu
- Foshan Fetal Medicine Institute, Affiliated Foshan Maternity & Child Healthcare Hospital, Southern Medical University (Foshan Maternity & Child Healthcare Hospital), Renminxi Road 11, Foshan, 528000, Guangdong, China.
- Department of Obstetrics, Affiliated Foshan Maternity & Child Healthcare Hospital, Southern Medical University (Foshan Maternity & Child Healthcare Hospital), Renminxi Road 11, Foshan, 528000, Guangdong, China.
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14
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Pereira G. Vanilla is not always best: Why to try other flavours of study methodology. Paediatr Perinat Epidemiol 2022; 36:167. [PMID: 34791670 DOI: 10.1111/ppe.12835] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Accepted: 10/17/2021] [Indexed: 12/01/2022]
Affiliation(s)
- Gavin Pereira
- Curtin School of Population Health, Curtin University, Perth, Western Australia, Australia
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15
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Tessema GA, Marinovich ML, Håberg SE, Gissler M, Mayo JA, Nassar N, Ball S, Betrán AP, Gebremedhin AT, de Klerk N, Magnus MC, Marston C, Regan AK, Shaw GM, Padula AM, Pereira G. Interpregnancy intervals and adverse birth outcomes in high-income countries: An international cohort study. PLoS One 2021; 16:e0255000. [PMID: 34280228 PMCID: PMC8289039 DOI: 10.1371/journal.pone.0255000] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Accepted: 07/08/2021] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Most evidence for interpregnancy interval (IPI) and adverse birth outcomes come from studies that are prone to incomplete control for confounders that vary between women. Comparing pregnancies to the same women can address this issue. METHODS We conducted an international longitudinal cohort study of 5,521,211 births to 3,849,193 women from Australia (1980-2016), Finland (1987-2017), Norway (1980-2016) and the United States (California) (1991-2012). IPI was calculated based on the time difference between two dates-the date of birth of the first pregnancy and the date of conception of the next (index) pregnancy. We estimated associations between IPI and preterm birth (PTB), spontaneous PTB, and small-for-gestational age births (SGA) using logistic regression (between-women analyses). We also used conditional logistic regression comparing IPIs and birth outcomes in the same women (within-women analyses). Random effects meta-analysis was used to calculate pooled adjusted odds ratios (aOR). RESULTS Compared to an IPI of 18-23 months, there was insufficient evidence for an association between IPI <6 months and overall PTB (aOR 1.08, 95% CI 0.99-1.18) and SGA (aOR 0.99, 95% CI 0.81-1.19), but increased odds of spontaneous PTB (aOR 1.38, 95% CI 1.21-1.57) in the within-women analysis. We observed elevated odds of all birth outcomes associated with IPI ≥60 months. In comparison, between-women analyses showed elevated odds of adverse birth outcomes for <12 month and >24 month IPIs. CONCLUSIONS We found consistently elevated odds of adverse birth outcomes following long IPIs. IPI shorter than 6 months were associated with elevated risk of spontaneous PTB, but there was insufficient evidence for increased risk of other adverse birth outcomes. Current recommendations of waiting at least 24 months to conceive after a previous pregnancy, may be unnecessarily long in high-income countries.
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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
| | - M. Luke Marinovich
- Curtin School of Population Health, Curtin University, Perth, Western Australia, Australia
| | - Siri E. Håberg
- Centre for Fertility and Health (CeFH), Norwegian Institute of Public Health, Oslo, Norway
| | - Mika Gissler
- Information Services Department, Finnish Institute for Health and Welfare, Helsinki, Finland
- Department of Neurobiology, Care Sciences and Society, Karolinska Institute, Stockholm, Sweden
| | - Jonathan A. Mayo
- Department of Pediatrics, March of Dimes Prematurity Research Center, Stanford University, Stanford, CA, United States of America
| | - Natasha Nassar
- Children’s Hospital at Westmead Clinical School, Faculty of Medicine and Health, University of Sydney, New South Wales, Australia
| | - Stephen Ball
- Curtin School of Nursing, Curtin University, Perth, Western Australia, Australia
| | - Ana Pilar Betrán
- UNDP/UNFPA/UNICEF/WHO/World Bank Special Programme of Research, Development and Research Training in Human Reproduction, Department of Reproductive Health and Research, World Health Organization, Geneva, Switzerland
| | - Amanuel T. Gebremedhin
- Curtin School of Population Health, Curtin University, Perth, Western Australia, Australia
| | - Nick de Klerk
- Telethon Kids Institute, University of Western Australia, Subiaco, Western Australia, Australia
| | - Maria C. Magnus
- Centre for Fertility and Health (CeFH), Norwegian Institute of Public Health, Oslo, Norway
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School, Bristol, United Kingdom
| | - Cicely Marston
- Faculty of Public Health and Policy, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Annette K. Regan
- Curtin School of Population Health, Curtin University, Perth, Western Australia, Australia
- School of Public Health,Texas A&M University, College Station, Texas, United States of America
| | - Gary M. Shaw
- Department of Pediatrics, March of Dimes Prematurity Research Center, Stanford University, Stanford, CA, United States of America
| | - Amy M. Padula
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, CA, United States of America
| | - Gavin Pereira
- Curtin School of Population Health, Curtin University, Perth, Western Australia, Australia
- Centre for Fertility and Health (CeFH), Norwegian Institute of Public Health, Oslo, Norway
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16
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Kravdal Ø. Effects of previous birth interval length on child outcomes can be estimated in a sibling analysis even when there are only two siblings. Paediatr Perinat Epidemiol 2021; 35:438-446. [PMID: 33331667 DOI: 10.1111/ppe.12732] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/02/2020] [Revised: 09/16/2020] [Accepted: 09/27/2020] [Indexed: 11/30/2022]
Abstract
BACKGROUND There is much interest in how the length of the previous birth interval affects various child outcomes, and it has become increasingly common to estimate such effects from sibling models. This is because one then controls for unobserved determinants of the outcome that are shared between the siblings and linked to the birth interval length. However, it is a common idea that such effects can only be estimated from data on families with three or more children. OBJECTIVE The goal of this paper is to show, through an intuitive argument and a simulation experiment, that it is possible to estimate effects of birth interval only from families with two children. METHODS Observations are simulated from two equations for fertility and one equation for child mortality. The fertility equations include a random term that is assumed to be correlated with the random term in the mortality equation. Mortality models are then estimated from the simulated observations. This is done 1000 times, and the averages of the 1000 sets of estimates are calculated. RESULTS The simulation experiment illustrates that it is indeed possible (by using a model specification that takes into account that no birth interval is defined for the first birth) to estimate birth interval effects in sibling models even when the data include only families with two children. CONCLUSION It is good news that families with only two children can contribute to the estimation of birth interval effects. This is because, with a broader basis for the estimation, the precision is improved and there is less reason for concern about the general relevance of the estimates. An important limitation, however, is that it is potentially problematic to control for maternal age in a sibling model estimated only for the first and second child.
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Affiliation(s)
- Øystein Kravdal
- Department of Economics, University of Oslo, Oslo, Norway
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
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17
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Gebremedhin AT, Regan AK, Ball S, Betrán AP, Foo D, Gissler M, Håberg SE, Malacova E, Marinovich ML, Pereira G. Interpregnancy interval and hypertensive disorders of pregnancy: A population-based cohort study. Paediatr Perinat Epidemiol 2021; 35:404-414. [PMID: 32189375 DOI: 10.1111/ppe.12668] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/02/2019] [Revised: 02/12/2020] [Accepted: 02/16/2020] [Indexed: 11/27/2022]
Abstract
BACKGROUND Despite extensive research on risk factors and mechanisms, the extent to which interpregnancy interval (IPI) affects hypertensive disorders of pregnancy in high-income countries remains unclear. OBJECTIVES To examine the association between IPI and hypertensive disorders of pregnancy in a high-income country setting using both within-mother and between-mother comparisons. METHODS A retrospective population-based cohort study was conducted among 103 909 women who delivered three or more consecutive singleton births (n = 358 046) between 1980 and 2015 in Western Australia. We used conditional Poisson regression with robust variance, matching intervals of the same mother and adjusted for factors that vary within-mother across pregnancies, to investigate the association between IPI categories (reference 18-23 months), and the risk of hypertensive disorders of pregnancy. For comparison with previous studies, we also applied unmatched Poisson regression (between-mother analysis). RESULTS The incidence of preeclampsia and gestational hypertension during the study period was 4%, and 2%, respectively. For the between-mother comparison, mothers with intervals of 6-11 months had lower risk of preeclampsia with adjusted relative risk (RR) 0.92 (95% confidence interval [CI] 0.85, 0.98) compared to reference category of 18-23 months. With the within-mother matched design, we estimated a larger effect of long IPI on risk of preeclampsia (RR 1.29, 95% CI 1.18, 1.42 for 60-119 months; and RR 1.30, 95% CI 1.10, 1.53 for intervals ≥120 months) compared to 18-23 months. Short IPIs were not associated with hypertensive disorders of pregnancy. CONCLUSIONS In our cohort, longer IPIs were associated with increased risk of preeclampsia. However, there was insufficient evidence to suggest that short IPIs (<6 months) increase the risks of hypertensive disorders of pregnancy.
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Affiliation(s)
| | - Annette K Regan
- School of Public Health, Curtin University, Perth, Western Australia, Australia.,School of Public Health, Texas A&M University, College Station, TX, USA
| | - Stephen Ball
- School of Nursing, Midwifery and Paramedicine, Curtin University, Perth, Western Australia, Australia
| | - Ana P Betrán
- UNDP/UNFPA/UNICEF/WHO/World Bank Special Programme of Research, Development and Research Training in Human Reproduction, Department of Reproductive Health and Research, World Health Organization, Geneva, Switzerland
| | - Damien Foo
- School of Public Health, Curtin University, Perth, Western Australia, Australia
| | - Mika Gissler
- Information Services Department, THL Finnish Institute for Health and Welfare, Helsinki, Finland.,Department of Neurobiology, Care Sciences and Society, Division of Family Medicine, Karolinska Institute, Stockholm, Sweden
| | - Siri E Håberg
- Centre for Fertility and Health (CeFH), Norwegian Institute of Public Health, Oslo, Norway
| | - Eva Malacova
- School of Public Health, Curtin University, Perth, Western Australia, Australia.,QIMR Berghofer Institute of Medical Research, Herston, Queensland, Australia
| | | | - Gavin Pereira
- School of Public Health, Curtin University, Perth, Western Australia, Australia.,Centre for Fertility and Health (CeFH), Norwegian Institute of Public Health, Oslo, Norway.,Telethon Kids Institute, Nedlands, Western Australia, Australia
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18
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Marinovich ML, Regan AK, Gissler M, Magnus MC, Håberg SE, Mayo JA, Shaw GM, Bell J, Nassar N, Ball S, Gebremedhin AT, Marston C, de Klerk N, Betrán AP, Padula AM, Pereira G. Associations between interpregnancy interval and preterm birth by previous preterm birth status in four high-income countries: a cohort study. BJOG 2021; 128:1134-1143. [PMID: 33232573 DOI: 10.1111/1471-0528.16606] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/16/2020] [Indexed: 12/20/2022]
Abstract
OBJECTIVE To investigate the effect of interpregnancy interval (IPI) on preterm birth (PTB) according to whether the previous birth was preterm or term. DESIGN Cohort study. SETTING USA (California), Australia, Finland, Norway (1980-2017). POPULATION Women who gave birth to first and second (n = 3 213 855) singleton livebirths. METHODS Odds ratios (ORs) for PTB according to IPIs were modelled using logistic regression with prognostic score stratification for potential confounders. Within-site ORs were pooled by random effects meta-analysis. OUTCOME MEASURE PTB (gestational age <37 weeks). RESULTS Absolute risk of PTB for each IPI was 3-6% after a previous term birth and 17-22% after previous PTB. ORs for PTB differed between previous term and preterm births in all countries (P-for-interaction ≤ 0.001). For women with a previous term birth, pooled ORs were increased for IPI <6 months (OR 1.50, 95% CI 1.43-1.58); 6-11 months (OR 1.10, 95% CI 1.04-1.16); 24-59 months (OR 1.16, 95% CI 1.13-1.18); and ≥ 60 months (OR 1.72, 95%CI 1.60-1.86), compared with 18-23 months. For previous PTB, ORs were increased for <6 months (OR 1.30, 95% CI 1.18-1.42) and ≥60 months (OR 1.29, 95% CI 1.17-1.42), but were less than ORs among women with a previous term birth (P < 0.05). CONCLUSIONS Associations between IPI and PTB are modified by whether or not the previous pregnancy was preterm. ORs for short and long IPIs were higher among women with a previous term birth than a previous PTB, which for short IPI is consistent with the maternal depletion hypothesis. Given the high risk of recurrence and assuming a causal association between IPI and PTB, IPI remains a potentially modifiable risk factor for women with previous PTB. TWEETABLE ABSTRACT Short versus long interpregnancy intervals associated with higher ORs for preterm birth (PTB) after a previous PTB.
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Affiliation(s)
- M L Marinovich
- School of Public Health, Curtin University, Perth, WA, Australia
| | - A K Regan
- School of Public Health, Texas A&M University, College Station, TX, USA
| | - M Gissler
- Information Services Department, Finnish Institute for Health and Welfare, Helsinki, Finland
- Department of Neurobiology, Care Sciences and Society, Karolinska Institute, Stockholm, Sweden
| | - M C Magnus
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- Centre for Fertility and Health (CeFH), Norwegian Institute of Public Health, Oslo, Norway
| | - S E Håberg
- Centre for Fertility and Health (CeFH), Norwegian Institute of Public Health, Oslo, Norway
| | - J A Mayo
- Department of Pediatrics, March of Dimes Prematurity Research Center, Stanford University, Stanford, CA, USA
| | - G M Shaw
- Department of Pediatrics, March of Dimes Prematurity Research Center, Stanford University, Stanford, CA, USA
| | - J Bell
- Children's Hospital at Westmead Clinical School, University of Sydney, Sydney, NSW, Australia
| | - N Nassar
- Children's Hospital at Westmead Clinical School, University of Sydney, Sydney, NSW, Australia
| | - S Ball
- School of Nursing, Midwifery and Paramedicine, Curtin University, Perth, WA, Australia
| | - A T Gebremedhin
- School of Public Health, Curtin University, Perth, WA, Australia
| | - C Marston
- Faculty of Public Health and Policy, London School of Hygiene and Tropical Medicine, London, UK
| | - N de Klerk
- Telethon Kids Institute, University of Western Australia, Subiaco, WA, Australia
| | - A P Betrán
- Department of Reproductive Health and Research, UNDP/UNFPA, UNICEF/WHO/World Bank Special Programme of Research, Development and Research Training in Human Reproduction, World Health Organization, Geneva, Switzerland
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, CA, USA
| | - A M Padula
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, CA, USA
| | - G Pereira
- School of Public Health, Curtin University, Perth, WA, Australia
- Centre for Fertility and Health (CeFH), Norwegian Institute of Public Health, Oslo, Norway
- Telethon Kids Institute, University of Western Australia, Subiaco, WA, Australia
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19
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Are sibling models a suitable tool in analyses of how reproductive factors affect child mortality? DEMOGRAPHIC RESEARCH 2020. [DOI: 10.4054/demres.2020.42.28] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
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20
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Profile of severely growth-restricted births undelivered at 40 weeks in Western Australia. Arch Gynecol Obstet 2020; 301:1383-1396. [PMID: 32318796 DOI: 10.1007/s00404-020-05537-y] [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: 10/29/2019] [Accepted: 04/04/2020] [Indexed: 10/24/2022]
Abstract
PURPOSE To investigate the proportion of severely growth-restricted singleton births < 3rd percentile (proxy for severe fetal growth restriction; FGR) undelivered at 40 weeks (FGR_40), and compare maternal characteristics and outcomes of FGR_40 births and FGR births at 37-39 weeks' (FGR_37-39) to those not born small-for-gestational-age at term (Not SGA_37+). METHODS The annual rates of singleton FGR_40 births from 2006 to 2015 were calculated using data from linked Western Australian population health datasets. Using 2013-2015 data, maternal factors associated with FGR births were investigated using multinomial logistic regression to estimate odds ratios (OR) with 95% confidence intervals (CI) while relative risks (RR) of birth outcomes between each group were calculated using Poisson regression. Neonatal adverse outcomes were identified using a published composite indicator (diagnoses, procedures and other factors). RESULTS The rate of singleton FGR_40 births decreased by 23.0% between 2006 and 2015. Factors strongly associated with FGR_40 and FGR_37-39 births compared to Not SGA_37+ births included the mother being primiparous (ORs 3.13: 95% CI 2.59-3.79; 1.69, 95% CI 1.47, 1.94, respectively) and ante-natal smoking (ORs 2.55, 95% CI 1.97, 3.32; 4.48, 95% CI 3.74, 5.36, respectively). FGR_40 and FGR_37-39 infants were more likely to have a neonatal adverse outcome (RRs 1.70, 95% CI 1.41, 2.06 and 2.46 95% CI 2.18, 2.46, respectively) compared to Not SGA 37+ infants. CONCLUSIONS Higher levels of poor perinatal outcomes among FGR births highlight the importance of appropriate management including fetal growth monitoring. Regular population-level monitoring of FGR_40 rates may lead to reduced numbers of poor outcomes.
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21
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22
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Effect of interpregnancy interval on gestational diabetes: a retrospective matched cohort study. Ann Epidemiol 2019; 39:33-38.e3. [DOI: 10.1016/j.annepidem.2019.09.004] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2019] [Revised: 08/27/2019] [Accepted: 09/16/2019] [Indexed: 11/20/2022]
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Thoma ME, Rossen LM, De Silva DA, Warner M, Simon AE, Moskosky S, Ahrens KA. Beyond birth outcomes: Interpregnancy interval and injury-related infant mortality. Paediatr Perinat Epidemiol 2019; 33:360-370. [PMID: 31512273 PMCID: PMC6913028 DOI: 10.1111/ppe.12575] [Citation(s) in RCA: 5] [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: 03/25/2019] [Revised: 06/19/2019] [Accepted: 07/07/2019] [Indexed: 01/26/2023]
Abstract
BACKGROUND Several studies have examined the association between IPI and birth outcomes, but few have explored the association between interpregnancy interval (IPI) and postnatal outcomes. OBJECTIVE We examined the association between IPI and injury-related infant mortality, a leading cause of postneonatal mortality. METHODS We used 2011-2015 US period-linked birth-infant death vital statistics data to generate a multiyear birth cohort of non-first-born singleton births (N = 9 782 029). IPI was defined as the number of months between a live birth and the start of the pregnancy leading to the next live birth. Causes of death in the first year of life were identified using ICD-10 codes. Hazard ratios (HR) for IPI categories were estimated using Cox proportional hazards models adjusted for birth order, county poverty level, and maternal characteristics (marital status, race/ethnicity, education, age at previous birth). RESULTS After adjustment, overall infant mortality (48.1 per 10 000 births) was higher for short and long IPIs compared with IPI 18-23 months (reference): <6, aHR 1.61, 95% CI 1.54, 1.68; 6-11, aHR 1.22, 95% CI 1.17, 1.26; and 60+ months, aHR 1.12, 95% CI 1.08, 1.16. In comparison, the risk of injury-related infant mortality (4.4 per 10 000 births) decreased with longer IPIs: <6, aHR 1.77, 95% CI 1.55, 2.01; 6-11, aHR 1.41, 95% CI 1.25, 1.59; 12-17, aHR 1.25, 95% CI 1.10, 1.41; 24-59, aHR 0.78, 95% CI 0.69, 0.87; and 60+ months, aHR 0.55, 95% CI 0.48, 0.62. CONCLUSION Unlike overall infant mortality, injury-related infant mortality decreased with IPI length. While injury-related deaths are rare, these patterns suggest that the timing between births may be a marker of risk for fatal infant injuries. The first year postpartum may be an ideal time for the delivery of evidence-based injury prevention programmes as well as family planning services.
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Affiliation(s)
- Marie E Thoma
- Department of Family Science, School of Public Health, University of Maryland, College Park, MD
| | - Lauren M Rossen
- National Center for Health Statistics, Centers for Disease Control and Prevention, Division of Vital Statistics, Reproductive Health Statistics Branch, Hyattsville, MD
| | - Dane A De Silva
- Department of Family Science, School of Public Health, University of Maryland, College Park, MD
| | - Margaret Warner
- National Center for Health Statistics, Centers for Disease Control and Prevention, Division of Vital Statistics, Mortality Statistics Branch, Hyattsville, MD
| | - Alan E Simon
- Environmental Influences on Child Health Outcomes (ECHO) Project Office, Office of the Director, National Institutes of Health, Rockville, MD
| | - Susan Moskosky
- Office of Population Affairs, Office of the Assistant Secretary for Health, U.S. Department of Health and Human Services, Rockville, MD
| | - Katherine A Ahrens
- Office of Population Affairs, Office of the Assistant Secretary for Health, U.S. Department of Health and Human Services, Rockville, MD
- Muskie School of Public Service, University of Southern Maine, Portland, ME
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24
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Marinovich ML, Regan AK, Gissler M, Magnus MC, Håberg SE, Padula AM, Mayo JA, Shaw GM, Ball S, Malacova E, Gebremedhin AT, Nassar N, Marston C, de Klerk N, Betran AP, Pereira GF. Developing evidence-based recommendations for optimal interpregnancy intervals in high-income countries: protocol for an international cohort study. BMJ Open 2019; 9:e027941. [PMID: 30700492 PMCID: PMC6352763 DOI: 10.1136/bmjopen-2018-027941] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2018] [Revised: 11/23/2018] [Accepted: 11/23/2018] [Indexed: 01/02/2023] Open
Abstract
INTRODUCTION Short interpregnancy interval (IPI) has been linked to adverse pregnancy outcomes. WHO recommends waiting at least 2 years after a live birth and 6 months after miscarriage or induced termination before conception of another pregnancy. The evidence underpinning these recommendations largely relies on data from low/middle-income countries. Furthermore, recent epidemiological investigations have suggested that these studies may overestimate the effects of IPI due to residual confounding. Future investigations of IPI effects in high-income countries drawing from large, population-based data sources are needed to inform IPI recommendations. We aim to assess the impact of IPIs on maternal and child health outcomes in high-income countries. METHODS AND ANALYSIS This international longitudinal retrospective cohort study will include more than 18 million pregnancies, making it the largest study to investigate IPI in high-income countries. Population-based data from Australia, Finland, Norway and USA will be used. Birth records in each country will be used to identify consecutive pregnancies. Exact dates of birth and clinical best estimates of gestational length will be used to estimate IPI. Administrative birth and health data sources with >99% coverage in each country will be used to identify maternal sociodemographics, pregnancy complications, details of labour and delivery, birth and child health information. We will use matched and unmatched regression models to investigate the impact of IPI on maternal and infant outcomes, and conduct meta-analysis to pool results across countries. ETHICS AND DISSEMINATION Ethics boards at participating sites approved this research (approval was not required in Finland). Findings will be published in peer-reviewed journals and presented at international conferences, and will inform recommendations for optimal IPI in high-income countries. Findings will provide important information for women and families planning future pregnancies and for clinicians providing prenatal care and giving guidance on family planning.
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Affiliation(s)
- M Luke Marinovich
- School of Public Health, Curtin University, Bentley, Western Australia, Australia
| | - Annette K Regan
- School of Public Health, Texas A and M University, College Station, Texas, USA
| | - Mika Gissler
- Information Services Department, National Institute for Health and Welfare, Helsinki, Finland
- Department of Neurobiology, Care Sciences and Society, Karolinska Institute, Stockholm, Sweden
| | - Maria C Magnus
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, Bristol, UK
- Centre for Fertility and Health (CeFH), Norwegian Institute of Public Health, Oslo, Norway
| | - Siri Eldevik Håberg
- Centre for Fertility and Health (CeFH), Norwegian Institute of Public Health, Oslo, Norway
| | - Amy M Padula
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, California, USA
| | - Jonathan A Mayo
- Department of Pediatrics, Stanford University, Stanford, California, USA
| | - Gary M Shaw
- Department of Pediatrics, Stanford University, Stanford, California, USA
| | - Stephen Ball
- School of Nursing, Midwifery and Paramedicine, Curtin University, Perth, Western Australia, Australia
| | - Eva Malacova
- School of Public Health, Curtin University, Bentley, Western Australia, Australia
| | | | - Natasha Nassar
- Menzies Centre for Health Policy, School of Public Health, University of Sydney, Sydney, New South Wales, Australia
| | - Cicely Marston
- Faculty of Public Health and Policy, London School of Hygiene and Tropical Medicine, London, UK
| | - Nick de Klerk
- Telethon Kids Institute, University of Western Australia, Subiaco, Western Australia, Australia
| | - Ana Pilar Betran
- UNDP/UNFPA/UNICEF/WHO/World Bank Special Programme of Research, Development and Research Training in Human Reproduction, Department of Reproductive Health and Research, World Health Organization, Geneva, Switzerland
| | - Gavin F Pereira
- School of Public Health, Curtin University, Bentley, Western Australia, Australia
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25
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Regan AK, Ball SJ, Warren JL, Malacova E, Marston C, Nassar N, Leonard H, de Klerk N, Pereira G. Regan et al. Reply to "Sibling Comparison Design in Birth-Spacing Studies". Am J Epidemiol 2019; 188:22-23. [PMID: 30188997 PMCID: PMC6676945 DOI: 10.1093/aje/kwy187] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2018] [Accepted: 08/10/2018] [Indexed: 11/13/2022] Open
Affiliation(s)
- Annette K Regan
- School of Public Health, Curtin University, Bentley, Western Australia, Australia
| | - Stephen J Ball
- School of Nursing, Midwifery and Paramedicine, Curtin University, Bentley, Western Australia, Australia
| | - Joshua L Warren
- School of Public Health, Yale University, New Haven, Connecticut
| | - Eva Malacova
- School of Public Health, Curtin University, Bentley, Western Australia, Australia
| | - Cicely Marston
- Department of Public Health, Environments and Society, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Natasha Nassar
- Sydney School of Public Health, University of Sydney, Camperdown, New South Wales, Australia
| | - Helen Leonard
- Telethon Kids Institute, University of Western Australia, Nedlands, Western Australia, Australia
| | - Nicholas de Klerk
- Telethon Kids Institute, University of Western Australia, Nedlands, Western Australia, Australia
| | - Gavin Pereira
- School of Public Health, Curtin University, Bentley, Western Australia, Australia
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Hutcheon JA, Harper S. Invited Commentary: Promise and Pitfalls of the Sibling Comparison Design in Studies of Optimal Birth Spacing. Am J Epidemiol 2019; 188:17-21. [PMID: 30188975 DOI: 10.1093/aje/kwy195] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2018] [Accepted: 07/19/2018] [Indexed: 11/13/2022] Open
Abstract
Numerous observational studies have shown that infants born after short interpregnancy intervals (the interval between birth and subsequent conception) are more likely to experience adverse perinatal outcomes than infants born following longer intervals. Yet it remains controversial whether the link between short interpregnancy interval and adverse outcomes is causal or is confounded by factors such as low socioeconomic position, inadequate access to health care, and unintended pregnancy. Sibling comparison studies, which use a woman as her own control by comparing exposure and outcome status of her different pregnancies (i.e., comparing sibling offspring), have gained popularity as a strategy to reduce confounding by these difficult-to-measure factors that are nevertheless relatively stable within women. A variant of this approach, used by Regan et al. (Am J Epidemiol. 2019;188(1):9-16) and reported in this issue of the Journal, is a maternally matched design based on a single interpregnancy interval per woman. Using real and simulated data, we highlight underappreciated shortcomings of these designs that could limit the validity of study findings. In particular, we illustrate how the single-interval variant appears to derive estimates from comparisons between different mothers, not within mothers. Future studies of optimal birth spacing using sibling comparison designs should examine in detail the potential consequences of these methodological limitations.
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Affiliation(s)
- Jennifer A Hutcheon
- Department of Obstetrics and Gynaecology, Faculty of Medicine, University of British Columbia, Vancouver, Canada
| | - Sam Harper
- Department of Epidemiology, Biostatistics, and Occupational Health, Faculty of Medicine, McGill University, Montreal, Canada
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