{"title":"Disparities in Care for Ectopic Pregnancies in Women with Disabilities: A Call for Reproductive Justice.","authors":"Intira Sriprasert, Jason D Wright","doi":"10.1111/ppe.70138","DOIUrl":"10.1111/ppe.70138","url":null,"abstract":"","PeriodicalId":19698,"journal":{"name":"Paediatric and perinatal epidemiology","volume":" ","pages":"386-387"},"PeriodicalIF":2.5,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147531224","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Maternal Residential Mobility Between Births: A California Statewide Study.","authors":"Giselle Bellia, Haoran Zhuo, Xuejuan Ning, Zeyan Liew","doi":"10.1111/ppe.70055","DOIUrl":"10.1111/ppe.70055","url":null,"abstract":"<p><strong>Background: </strong>Studies of perinatal and paediatric health often analyse data from consecutive pregnancies. However, little is known about the factors associated with maternal residential changes between births or how maternal mobility may affect the validity of epidemiological findings, particularly those involving geographic-based measurements.</p><p><strong>Objectives: </strong>Using a statewide sibling cohort, we studied the pattern of residential mobility between births and its association with several major sociodemographic and perinatal factors. We discussed how maternal moving between births may affect the validity of epidemiologic research, focusing on sibling comparison analyses.</p><p><strong>Methods: </strong>We geocoded maternal residential addresses extracted from the livebirth records of sibling pairs from 2007 to 2015 in California. We described moving patterns between births, and we estimated the risk ratio (RR) of maternal moving according to maternal sociodemographic, pregnancy, and neonatal factors of the preceding birth. We studied maternal social mobility by examining the changes in the neighbourhood Social Vulnerability Indexes (SVI) among the movers.</p><p><strong>Results: </strong>Our sample included 995,342 sibling pairs. Overall, 49.8% of mothers moved between births; 34.9% to another ZIP code, and 9.3% to another county. Younger maternal age, smoking during pregnancy, self-reported non-Hispanic Black race, lower educational attainment, nulliparous status, no prenatal care or having used government insurance for prenatal care, and non-adverse birth outcomes at the precedent birth were associated with maternal moving between births. Maternal social mobility between births in the cohort also varied by age, race/ethnicity, and education levels.</p><p><strong>Conclusions: </strong>Maternal residential mobility between births was more common within certain sociodemographic subgroups in California. We recommend measuring residential changes in sibling studies, and assessing the potential impacts on statistical power, time-varying confounding, carry-over effect, and generalisability of findings. Further research is warranted to better understand how maternal mobility influences various types of perinatal epidemiological studies.</p>","PeriodicalId":19698,"journal":{"name":"Paediatric and perinatal epidemiology","volume":" ","pages":"364-375"},"PeriodicalIF":2.7,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13124671/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144691096","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Residential Mobility During Pregnancy and Between Births: Implications for the Interpretation of Findings in Environmental Epidemiology.","authors":"Marianthi-Anna Kioumourtzoglou","doi":"10.1111/ppe.70112","DOIUrl":"10.1111/ppe.70112","url":null,"abstract":"","PeriodicalId":19698,"journal":{"name":"Paediatric and perinatal epidemiology","volume":" ","pages":"376-377"},"PeriodicalIF":2.5,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146030475","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Belle Martin, David E Cantonwine, Lyndsey A Darrow, Kelly K Ferguson, Thomas F McElrath, Barrett M Welch
{"title":"Trends in Gestational Weight Gain From 2007 to 2019: A Prospective Cohort Study.","authors":"Belle Martin, David E Cantonwine, Lyndsey A Darrow, Kelly K Ferguson, Thomas F McElrath, Barrett M Welch","doi":"10.1111/ppe.70101","DOIUrl":"10.1111/ppe.70101","url":null,"abstract":"<p><strong>Background: </strong>Gestational weight gain (GWG), the maternal weight gained between pre-pregnancy and delivery, is an important risk factor for adverse maternal and infant health outcomes. In 1990, the National Academy of Medicine released GWG recommendations based on pre-pregnancy body mass index (BMI). These guidelines were revised in 2009, yet few studies have assessed temporal trends in GWG following the change.</p><p><strong>Objectives: </strong>To evaluate temporal trends in total GWG within a large, ongoing pregnancy cohort.</p><p><strong>Methods: </strong>We used data from a prospective cohort in Boston, Massachusetts, of 3675 participants with deliveries between 2007 and 2019. Using 29,037 serial weight measures (median = 7/participant), we fit mixed-effect models to predict weight at delivery. Total GWG (kg) was defined as the difference between the model-predicted weight at delivery and self-reported pre-pregnancy weight. We categorised GWG as below, within or above the 2009 BMI-specific guidelines. We analysed proportional trends in GWG categories: (a) overall and (b) stratified by maternal characteristics (pre-pregnancy BMI, race/ethnicity, educational level and parity). We analysed trends in covariate-adjusted geometric mean (GMs) of GWG using multiple linear regression.</p><p><strong>Results: </strong>The proportion of participants gaining weight within the GWG guidelines decreased from 46% in 2007-2008 to 24% in 2018-2019, which was driven by an increase in those gaining above the guidelines (40% to 73%). Across maternal characteristics, the largest increases of proportions above the guidelines were among those of normal pre-pregnancy BMI (19% to 62%) and of non-Hispanic Black (48% to 85%) or non-Hispanic White (37% to 74%) race/ethnicity. Consistently, GMs increased from 8.3 kg (95% confidence interval [CI] 6.3, 10.8) in 2007-2008 to 10.9 kg (95% CI 7.9, 14.9) in 2018-2019.</p><p><strong>Conclusions: </strong>Results from this large cohort study provide evidence that fewer women have been meeting the revised GWG guidelines and more have been gaining above the recommendations.</p>","PeriodicalId":19698,"journal":{"name":"Paediatric and perinatal epidemiology","volume":" ","pages":"329-338"},"PeriodicalIF":2.7,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12919654/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145687765","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Josue Antonio G Estrada, Nina Cesare, Katherine Barger, Emily Q Sisson, Megan B Cole, Laura Graham Holmes, Samantha E Parker, Alianna Higgins, Collette N Ncube, Samuel B Rosenberg, Ashley Scott, Sowmya R Rao, Martha Werler, Eric Rubenstein
{"title":"Fertility Rates Among Women With Intellectual and Developmental Disability Enrolled in Medicaid and/or Medicare, 2011-2022.","authors":"Josue Antonio G Estrada, Nina Cesare, Katherine Barger, Emily Q Sisson, Megan B Cole, Laura Graham Holmes, Samantha E Parker, Alianna Higgins, Collette N Ncube, Samuel B Rosenberg, Ashley Scott, Sowmya R Rao, Martha Werler, Eric Rubenstein","doi":"10.1111/ppe.70121","DOIUrl":"10.1111/ppe.70121","url":null,"abstract":"<p><strong>Background: </strong>Women with intellectual and developmental disability (IDD), including those with autism and/or intellectual disability, have historically been sterilised and institutionalised to limit their reproductive rights. As sterilisation laws have been repealed and protections against institutionalisation enacted, stigma persists but may be changing over time.</p><p><strong>Objectives: </strong>Our objective was to describe fertility rates among women with identified IDD (defined using ICD codes for intellectual disability or autism) using 11 years of data of all women aged 18-45 and enrolled in Medicaid and/or Medicare.</p><p><strong>Methods: </strong>We identified a cohort of women with IDD enrolled in Medicaid and/or Medicare between January 2011 and December 2022. International Classification of Diseases (ICD) 9 and 10 codes were used to identify pregnancies and IDD diagnoses. We calculated general fertility rate (GFR), age-specific fertility rate (ASFR) and total fertility rate (TFR) and corresponding 95% confidence intervals (CI) for each year.</p><p><strong>Results: </strong>From 2011 to 2022, we observed 50,562 livebirths among 33,457 women. There were 38,983 births to women with intellectual disability, 9360 with autism, and 2219 with autism and co-occurring intellectual disability. There were 1403 pregnancies to women with cerebral palsy and autism or intellectual disability. GFR in women with IDD was relatively stable over the years, from 9.3 per 1000 (95% CI 9.0, 9.6) in 2011 to 9.9 per 1000 (95% CI 9.6, 10.2) in 2022. ASFR for both women with autism-only and women with an intellectual disability-only was highest at 21-25 years. Total fertility rates were slightly higher for those with autism-only (ranging from 0.22 to 0.40 across years) than for women with intellectual disability-only (ranging from 0.25 to 0.27). Data also reveal that fertility rates for women with IDD have increased in most states.</p><p><strong>Conclusion: </strong>Trends in fertility rates among women with IDD were consistent over time. Incremental increase in fertility rates were observed among women with autism. Results warrant the need to further examine factors related to access, quality and continuity of care among women with IDD.</p>","PeriodicalId":19698,"journal":{"name":"Paediatric and perinatal epidemiology","volume":" ","pages":"308-317"},"PeriodicalIF":2.7,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12993431/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146227950","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Third Stage Active Management: Labouring Under Delusions of Severe Morbidity and Mortality Prevention.","authors":"Marit L Bovbjerg","doi":"10.1111/ppe.70118","DOIUrl":"10.1111/ppe.70118","url":null,"abstract":"","PeriodicalId":19698,"journal":{"name":"Paediatric and perinatal epidemiology","volume":" ","pages":"397-399"},"PeriodicalIF":2.5,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146119691","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jorieke E H Bergman, Annie Perraud, Ester Garne, Ingeborg Barisic, David Tucker, Elisa Ballardini, Lea Bruneau, Clara Cavero-Carbonell, Ianis Cousin, Miriam Gatt, Katya Kovacheva, Anna Latos-Bielenska, Mary O'Mahony, Isabelle Monier, Isabelle Perthus, Riccardo Pertile, Anke Rissmann, Florence Rouget, Michelle Santoro, Joanna Sichitiu, Christine Verellen-Dumoulin, Wladimir Wertelecki, Diana Wellesley, Joan K Morris
{"title":"Genetic Diagnoses Among Congenital Anomaly Cases in Europe: Data From the EUROCAT Network.","authors":"Jorieke E H Bergman, Annie Perraud, Ester Garne, Ingeborg Barisic, David Tucker, Elisa Ballardini, Lea Bruneau, Clara Cavero-Carbonell, Ianis Cousin, Miriam Gatt, Katya Kovacheva, Anna Latos-Bielenska, Mary O'Mahony, Isabelle Monier, Isabelle Perthus, Riccardo Pertile, Anke Rissmann, Florence Rouget, Michelle Santoro, Joanna Sichitiu, Christine Verellen-Dumoulin, Wladimir Wertelecki, Diana Wellesley, Joan K Morris","doi":"10.1111/ppe.70099","DOIUrl":"10.1111/ppe.70099","url":null,"abstract":"<p><strong>Background: </strong>Surveillance of congenital anomaly prevalence over time can identify new teratogens. Anomalies with a genetic cause are excluded from the monitoring.</p><p><strong>Objectives: </strong>We examined temporal changes in the proportion of genetic diagnoses among cases with a congenital anomaly.</p><p><strong>Methods: </strong>Data was used from twenty EUROCAT congenital anomaly registries over the birth years 2013 and 2022. All pregnancy outcomes were included. Multilevel binomial regression models were fitted to estimate the annual change in the proportion of genetic diagnoses of all anomalies by registry. Results were additionally reported, excluding cases with trisomy 13, 18, or 21.</p><p><strong>Results: </strong>Overall, 20% of the 100,099 cases in the study had a genetic diagnosis, and this proportion increased annually by 1.4% (95% CI, 0.8%-1.9%); an absolute increase of approximately 3% from 2013 to 2022. After excluding the trisomies, the overall proportion was 10% with an annual increase of 1.2% (95% CI 0.4%-2.0%). There was considerable variation in the proportion of genetic cases per registry. An increasing proportion of genetic diagnoses was found for five congenital anomaly groups, after excluding the trisomies. We hypothesise that the increase in genetic diagnoses is due to increased access to clinical genetic services, more extensive genetic testing, and the identification of new genes as causes of congenital anomalies.</p><p><strong>Conclusions: </strong>The modest increase in genetic diagnoses among cases with a congenital anomaly is not expected to have a large impact on the surveillance of the non-genetic anomalies in the EUROCAT network. EUROCAT will continue to monitor the proportion of genetic diagnoses every five years.</p>","PeriodicalId":19698,"journal":{"name":"Paediatric and perinatal epidemiology","volume":" ","pages":"414-425"},"PeriodicalIF":2.7,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13124677/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145588280","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Takamasa Sakai, Hedvig Nordeng, Marleen M H J van Gelder
{"title":"Longitudinal Methods Versus Multiple Imputation to Infer Missing Maternal Data in Registry-Based Pregnancy Studies.","authors":"Takamasa Sakai, Hedvig Nordeng, Marleen M H J van Gelder","doi":"10.1111/ppe.70011","DOIUrl":"10.1111/ppe.70011","url":null,"abstract":"<p><strong>Background: </strong>In birth registries, incomplete recording of information leads to missing values. Multiple imputation (MI) by chained equations is a widely used method for analysing datasets with missing data. It is unknown whether using registry records from multiple pregnancies contributed by the same woman could potentially give more accurate values when resolving missing data.</p><p><strong>Objectives: </strong>To investigate the relative performance of five methods to infer missing data on maternal characteristics using data from a medical birth registry, comparing longitudinal methods and MI with data from previous and future pregnancies.</p><p><strong>Methods: </strong>We used data from the Medical Birth Registry of Norway (MBRN), selecting records among mothers with more than one pregnancy between 2004 and 2018. Longitudinal methods used reference pregnancies in three time directions: past, future and closest pregnancy record. MI was conducted with only index pregnancy records (single-pregnancy MI) and with both index and closest reference pregnancy records (multiple-pregnancy MI). Validity was assessed by comparing the actual values with inferred/imputed values. For continuous variables, we calculated the proportion of inferred values within predefined increments. For binary variables, we calculated five parameters: agreement rate, sensitivity, specificity, positive predictive value and negative predictive value.</p><p><strong>Results: </strong>We included 578,670 pregnancies among 256,658 women. For continuous variables, the longitudinal methods showed the highest proportion within predefined increments, followed by multiple-pregnancy MI, and single-pregnancy MI showed the lowest value. For binary variables, longitudinal methods generally showed higher values among the five validity parameters than MI. Single-pregnancy MI had substantially lower agreement, while multiple-pregnancy MI performed similarly to longitudinal methods.</p><p><strong>Conclusions: </strong>The longitudinal method outperformed MI in inferring missing data on maternal characteristics in a medical birth registry.</p>","PeriodicalId":19698,"journal":{"name":"Paediatric and perinatal epidemiology","volume":" ","pages":"264-277"},"PeriodicalIF":2.5,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144507272","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nedghie Adrien, Richard F MacLehose, Martha M Werler, Mahsa M Yazdy, Matthew P Fox, Samantha E Parker
{"title":"Assessing the Impact of Exposure Misclassification in Case-Control Studies of Self-Reported Medication Use.","authors":"Nedghie Adrien, Richard F MacLehose, Martha M Werler, Mahsa M Yazdy, Matthew P Fox, Samantha E Parker","doi":"10.1111/ppe.13161","DOIUrl":"10.1111/ppe.13161","url":null,"abstract":"<p><strong>Background: </strong>Empirically evaluating the potential impact of recall bias on observed associations of prenatal medication exposure is crucial.</p><p><strong>Objective: </strong>We sought to assess the effects of exposure misclassification on previous studies of the use of nonsteroidal anti-inflammatory drugs (NSAIDs) in early pregnancy and increased risk of amniotic band syndrome (ABS).</p><p><strong>Methods: </strong>Using data from the National Birth Defects Prevention Study (NBDPS) on births from 1997 to 2011, we included 189 mothers of infants with ABS and 11,829 mothers of infants without congenital anomalies. We identified external studies of medication use during pregnancy to obtain validity parameters for a probabilistic bias analysis to adjust for exposure misclassification. Due to uncertainty about the transportability of these parameters, we conducted multidimensional bias analyses to explore combinations of values on the results.</p><p><strong>Results: </strong>When we assumed higher specificity in cases or higher sensitivity in controls, misclassification-adjusted estimates suggested confounding-adjusted estimates were attenuated. However, in a few instances, when we assumed greater sensitivity in the cases than the controls (and Sp ≥ 0.9), the misclassification-adjusted estimates suggested upward bias in the confounding-adjusted estimates.</p><p><strong>Conclusions: </strong>Results from our bias analysis highlighted that the magnitude of bias depended on the mechanism and the extent of misclassification. However, the parameters available from the validation studies were not directly applicable to our study. In the absence of reliable validation studies, considering mechanisms of bias and simulation studies to outline combinations of plausible scenarios to better inform conclusions on the effects of these medications on pregnancy outcomes remains important.</p>","PeriodicalId":19698,"journal":{"name":"Paediatric and perinatal epidemiology","volume":" ","pages":"190-199"},"PeriodicalIF":2.5,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12167750/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142829352","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Interpreting Impacts of Population-Level Interventions in the Presence of Exposure Misclassification.","authors":"Chase D Latour, Ellen C Caniglia","doi":"10.1111/ppe.70115","DOIUrl":"10.1111/ppe.70115","url":null,"abstract":"","PeriodicalId":19698,"journal":{"name":"Paediatric and perinatal epidemiology","volume":"40 2","pages":"245-247"},"PeriodicalIF":2.7,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13010239/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147504487","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}