Background: Understanding the risks and effects of gestational weight gain (GWG) is a prominent area of perinatal research but approaches for quantifying GWG are evolving and remain underdeveloped, especially in clinical settings for underserved demographic subgroups. To fill this gap, we demonstrated and compared six GWG metrics across pre-pregnancy BMI classifications: total GWG, trimester-specific linear rate of GWG, adherence to total and trimester-specific recommendations, area under the curve, and GWG for gestational age z-scores.
Methods: We used clinical data on 44,801 pregnant people from community-based health care organizations with extensive longitudinal measures and substantial representation of understudied subgroups.
Background: Electronic health record (EHR) data are an underused source for lactation-related research. The validity of ICD-10-CM-coded lactational mastitis is unknown.
Methods: We assessed lactational mastitis diagnosis code validity by medical record review.
J Womens Health (Larchmt)
November 2024
Objective: The objective of this study was to estimate the effects of trimester-specific gestational weight gain (GWG) on small and large (compared with appropriate) for gestational age (i.e., SGA, LGA, and AGA) by prepregnancy BMI classifications.
View Article and Find Full Text PDFImportance: COVID-19 vaccination is recommended throughout pregnancy to prevent pregnancy complications and adverse birth outcomes associated with COVID-19 disease. To date, data on birth defects after first-trimester vaccination are limited.
Objective: To evaluate the associated risks for selected major structural birth defects among live-born infants after first-trimester receipt of a messenger RNA (mRNA) COVID-19 vaccine.
Background: Lifestyle choices, metformin, and dietary supplements may prevent GDM, but the effect of intervention characteristics has not been identified. This review evaluated intervention characteristics to inform the implementation of GDM prevention interventions.
Methods: Ovid, MEDLINE/PubMed, and EMBASE databases were searched.
Background: Gestational weight gain (GWG) is a routinely monitored aspect of pregnancy health, yet critical gaps remain about optimal GWG in pregnant people from socially marginalized groups, or with pre-pregnancy body mass index (BMI) in the lower or upper extremes. The PROMISE study aims to determine overall and trimester-specific GWG associated with the lowest risk of adverse birth outcomes and detrimental infant and child growth in these underrepresented subgroups. This paper presents methods used to construct the PROMISE cohort using electronic health record data from a network of community-based healthcare organizations and characterize the cohort with respect to baseline characteristics, longitudinal data availability, and GWG.
View Article and Find Full Text PDFBackground: Breastfeeding information stored within electronic health records (EHR) has recently been used for pharmacoepidemiological research, however the data are primarily collected for clinical care.
Objectives: To characterise breastfeeding information recorded in structured fields in EHR during infant and postpartum health care visits, and to assess the validity of lactation status based on EHR data versus maternal report at research study visits.
Methods: We assessed breastfeeding information recorded in structured fields in EHR from one health system for a subset of 211 patients who were also enrolled in a study on breast milk composition between 2014 and 2017 that required participants to exclusively breastfeed their infants until at least 1 month of age.
Objective: Surveys of residents in obstetrics and gynecology, internal medicine, and family medicine have demonstrated low levels of knowledge and comfort in treating patients with menopausal symptoms, suggesting a need for improved training during residency. To address this problem, we used a flipped classroom design to deliver a novel menopause curriculum for medical residents. The curriculum included six podcast episodes followed by an interactive case-based classroom session.
View Article and Find Full Text PDFObjective: To describe insurance patterns and discontinuity during pregnancy, which may affect the experiences of the pregnant person: their timely access to care, continuity of care, and health outcomes.
Data Sources And Study Setting: Data are from the PROMISE study, which utilizes data from community-based health care organizations (CHCOs) (e.g.
Background: Precision prevention involves using the unique characteristics of a particular group to determine their responses to preventive interventions. This study aimed to systematically evaluate the participant characteristics associated with responses to interventions in gestational diabetes mellitus (GDM) prevention.
Methods: We searched MEDLINE, EMBASE, and Pubmed to identify lifestyle (diet, physical activity, or both), metformin, myoinositol/inositol and probiotics interventions of GDM prevention published up to May 24, 2022.
Importance: Hypertensive disorders of pregnancy are a leading cause of pregnancy-related morbidity and mortality in the US.
Objective: To conduct a targeted systematic review to update the evidence on the effectiveness of screening for hypertensive disorders of pregnancy to inform the US Preventive Services Task Force.
Data Sources: MEDLINE and the Cochrane Central Register of Controlled Trials for relevant studies published between January 1, 2014, and January 4, 2022; surveillance through February 21, 2023.
Background And Aims: Precision prevention involves using the unique characteristics of a particular group to determine their responses to preventive interventions. This study aimed to systematically evaluate the participant characteristics associated with interventions in gestational diabetes mellitus (GDM) prevention.
Methods: We searched MEDLINE, EMBASE, and Pubmed to identify lifestyle (diet, physical activity, or both), metformin, myoinositol/inositol and probiotics interventions of GDM prevention published up to May 24, 2022.
Background: Healthier lifestyles in early pregnancy are associated with lower rates of pregnancy complications, childhood adiposity, and maternal and child cardiovascular risks. However, it is not known whether lifestyle coaching initiated prior to pregnancy can affect behavior and attitudes during pregnancy.
Methods: Three hundred and twenty six women planning pregnancy within 2 years with BMI ≥27 kg/m were randomized to a behavioral weight loss intervention or to usual care.