Pregnancy health in a multi-state U.S. population of systemically underserved patients and their children: PROMISE cohort design and baseline characteristics.

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. METHODS: We developed an algorithm to identify and date pregnancies based on outpatient clinical data for patients 15 years or older. The cohort included pregnancies delivered in 2005-2020 with gestational age between 20 weeks, 0 days and 42 weeks, 6 days; and with known height and adequate weight measures needed to examine GWG patterns. We linked offspring data from birth records and clinical records. We defined study variables with attention to timing relative to pregnancy and clinical data collection processes. Descriptive analyses characterize the sociodemographic, baseline, and longitudinal data characteristics of the cohort, overall and within BMI categories. RESULTS: The cohort includes 77,599 pregnancies: 53% had incomes below the federal poverty level, 82% had public insurance, and the largest race and ethnicity groups were Hispanic (56%), non-Hispanic White (23%) and non-Hispanic Black (12%). Pre-pregnancy BMI groups included 2% underweight, 34% normal weight, 31% overweight, and 19%, 8%, and 5% Class I, II, and III obesity. Longitudinal data enable the calculation of trimester-specific GWG; e.g., a median of 2, 4, and 6 valid weight measures were available in the first, second, and third trimesters, respectively. Weekly rate of GWG was 0.00, 0.46, and 0.51 kg per week in the first, second, and third trimesters; differences in GWG between BMI groups were greatest in the second trimester. CONCLUSIONS: The PROMISE cohort enables characterization of GWG patterns and estimation of effects on child growth in underrepresented subgroups, ultimately improving the representativeness of GWG evidence and corresponding guidelines.

Insurance coverage and discontinuity during pregnancy: Frequency and associations documented in the PROMISE cohort.

OBJECTIVE: 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., federally qualified health centers that serve patients regardless of insurance status or ability to pay) in the United States from 2005 to 2021. STUDY DESIGN: This descriptive study was a cohort utilizing longitudinal electronic health record data. DATA COLLECTION/EXTRACTION METHODS: Insurance type at each encounter was recorded in the clinical database and coded as Private, Public, and Uninsured. Pregnant people were categorized into one of several insurance patterns. We analyzed the frequency and timing of insurance changes and care utilization within each group. PRINCIPAL FINDINGS: Continuous public insurance was the most common insurance pattern (69.2%), followed by uninsured/public discontinuity (11.8%), with 6.4% experiencing uninsurance throughout the entirety of pregnancy. Insurance discontinuity was experienced by 16.6% of pregnant people; a majority of these reflect people transitioning to public insurance. Those with continuous public insurance had the highest frequency of inadequate prenatal care (19.5%), while those with all three types of insurance during pregnancy had the highest percentage of intensive prenatal care (16.5%). The majority (71.7%-81.2%) of those with a discontinuous pattern experienced a single insurance change. CONCLUSIONS: Insurance discontinuity and uninsurance are common within our population of pregnant people seeking care at CHCOs. Our findings suggest that insurance status should be regarded as a dynamic rather than a static characteristic during pregnancy and should be measured accordingly. Future research is needed to assess the drivers of perinatal insurance discontinuity and if and how these discontinuities may affect health care access, utilization, and birth outcomes.

Antibiotics prior to age 2 years have limited association with preschool growth trajectory.

BACKGROUND: Prior studies of early antibiotic use and growth have shown mixed results, primarily on cross-sectional outcomes. This study examined the effect of oral antibiotics before age 24 months on growth trajectory at age 2-5 years. METHODS: We captured oral antibiotic prescriptions and anthropometrics from electronic health records through PCORnet, for children with ≥1 height and weight at 0-12 months of age, ≥1 at 12-30 months, and ≥2 between 25 and 72 months. Prescriptions were grouped into episodes by time and by antimicrobial spectrum. Longitudinal rate regression was used to assess differences in growth rate from 25 to 72 months of age. Models were adjusted for sex, race/ethnicity, steroid use, diagnosed asthma, complex chronic conditions, and infections. RESULTS: 430,376 children from 29 health U.S. systems were included, with 58% receiving antibiotics before 24 months. Exposure to any antibiotic was associated with an average 0.7% (95% CI 0.5, 0.9, p < 0.0001) greater rate of weight gain, corresponding to 0.05 kg additional weight. The estimated effect was slightly greater for narrow-spectrum (0.8% [0.6, 1.1]) than broad-spectrum (0.6% [0.3, 0.8], p < 0.0001) drugs. There was a small dose response relationship between the number of antibiotic episodes and weight gain. CONCLUSION: Oral antibiotic use prior to 24 months of age was associated with very small changes in average growth rate at ages 2-5 years. The small effect size is unlikely to affect individual prescribing decisions, though it may reflect a biologic effect that can combine with others.

Positive deviance in health and medical research on individual level outcomes - a review of methodology.

BACKGROUND: Positive deviance as a methodology is increasing in application yet there is high variability in how this approach is applied in health services research. METHODS: We conducted a scoping review of the literature for positive deviance applied to health outcomes informed by PRISMA-ScR. We searched the literature from 1945 to 2020, including articles on positive deviance or positive outliers, and restricted to examining individual rather than organizational outcomes. We analyzed the methodology applied including the process of identifying deviants, the use of control groups, and the degree of community engagement. RESULTS: Our initial search identified 1140 manuscripts; we included 104 papers describing 98 studies, 11 topical and one miscellaneous category. Most studies used objective measures of health or survey-based responses to identify deviants from a sub-set of the population at risk. The use of controls was less common in some topics (hospital infections), whereas controls were universally applied in other topics (malnutrition). The degree of community engagement varied widely. CONCLUSIONS: Positive deviance would benefit from improvements in reporting and standardized approaches to defining deviance. Studies could be improved through clarified definitions of deviance/risk, explicit descriptions of community engagement, and more consistent use of controls.

Association of Early Antibiotic Exposure With Childhood Body Mass Index Trajectory Milestones.

Importance: Past studies have showed associations between antibiotic exposure and child weight outcomes. Few, however, have documented alterations to body mass index (BMI) (calculated as weight in kilograms divided by height in meters squared) trajectory milestone patterns during childhood after early-life antibiotic exposure. Objective: To examine the association of antibiotic use during the first 48 months of life with BMI trajectory milestones during childhood in a large cohort of children. Design, Setting, and Participants: This retrospective cohort study used electronic health record data from 26 institutions participating in the National Patient-Centered Clinical Research Network from January 1, 2009, to December 31, 2016. Participant inclusion required at least 1 valid set of same-day height and weight measurements at each of the following age periods: 0 to 5, 6 to 11, 12 to 23, 24 to 59, and 60 to 131 months (183 444 children). Data were analyzed from June 1, 2019, to June 30, 2020. Exposures: Antibiotic use at 0 to 5, 6 to 11, 12 to 23, 24 to 35, and 36 to 47 months of age. Main Outcomes and Measures: Age and magnitude of BMI peak and BMI rebound. Results: Of 183 444 children in the study (mean age, 3.3 years [range, 0-10.9 years]; 95 228 [51.9%] were boys; 80 043 [43.6%] were White individuals), 78.1% received any antibiotic, 51.0% had at least 1 episode of broad-spectrum antibiotic exposure, and 65.0% had at least 1 episode of narrow-spectrum antibiotic exposure at any time before 48 months of age. Exposure to any antibiotics at 0 to 5 months of age (vs no exposure) was associated with later age (ß coefficient, 0.05 months [95% CI, 0.02-0.08 months]) and higher BMI (ß coefficient, 0.09 [95% CI, 0.07-0.11]) at peak. Exposure to any antibiotics at 0 to 47 months of age (vs no exposure) was associated with an earlier age (-0.60 months [95% CI, -0.81 to -0.39 months]) and higher BMI at rebound (ß coefficient, 0.02 [95% CI, 0.01-0.03]). These associations were strongest for children with at least 4 episodes of antibiotic exposure. Effect estimates for associations with age at BMI rebound were larger for those exposed to antibiotics at 24 to 35 months of age (ß coefficient, -0.63 [95% CI, -0.83 to -0.43] months) or 36 to 47 (ß coefficient, -0.52 [95% CI, -0.72 to -0.31] months) than for those exposed at 0 to 5 months of age (ß coefficient, 0.26 [95% CI, 0.01-0.51] months) or 6 to 11 (ß coefficient, 0.00 [95% CI, -0.20 to 0.20] months). Conclusions and Relevance: In this cohort study, antibiotic exposure was associated with statistically significant, but small, differences in BMI trajectory milestones in infancy and early childhood. The small risk of an altered BMI trajectory milestone pattern associated with early-life antibiotic exposure is unlikely to be a key factor during prescription decisions for children.

The Association Between Birth Weight and Fat, Sugar, and Vegetable Consumption in a National Sample of U.S. Preschool Age Children.

INTRODUCTION: Adverse prenatal development is a contributor to obesity susceptibility in children. Dietary behavior is one mechanism through which adverse prenatal development may promote obesity, but evidence for the role of prenatal overnutrition in dietary intake in young children is scant. METHODS: We used data from the National Health and Nutrition Examination Survey 2009-2014. Our study sample included 1782 U.S. children 2-5 years old with available birth weight and two 24-h dietary recalls. We used linear and Poisson regression to examine the association of birth weight (LBW < 2500 g, HBW > 4100 g) and 2-day average intake of dietary variables. We tested interactions between birthweight and breastfeeding (breastfed > 5 months vs. not breastfed or breastfed 0-5 months), and report breastfeeding-specific results. RESULTS: In multivariable regression analysis, in boys, LBW was associated with 2.4 (95% CI - 4.3, - 0.5) lower percent of kcal from solid fat; lower sugar intake, marginally lower saturated and total fat intake, and 0.6 cup (95% CI 0.1, 1.0) greater vegetable consumption; HBW was marginally associated with lower fat. Birth weight was unrelated to diet in girls. Breastfeeding modified associations between birth weight and dietary intake, but the direction of modification was mixed. DISCUSSION: Our findings do not support the hypothesis that LBW or HBW are associated with adverse diet consumption in preschool age U.S. children. Improved understanding of the role of early life development of dietary behavior requires further research on the development of appetitive traits and the role of the family and preschool food environments.

Associations of Pregnancy After Bariatric Surgery with Long-Term Weight Trajectories and Birth Weight: LABS-2 Study.

OBJECTIVE: This study aimed to examine whether pregnancy following bariatric surgery affects long-term maternal weight change and offspring birth weight. METHODS: Using data from the Longitudinal Assessment of Bariatric Surgery (LABS)-2 study, linear regression was used to evaluate percent change in total body weight over a 5-year follow-up period among reproductive-aged women who underwent Roux-en-Y gastric bypass or laparoscopic adjustable gastric banding as well as evaluate the association of bariatric procedure type and offspring birth weight. RESULTS: Of 727 women with preoperative age of 36.1 (6.3) years (mean [SD]) and BMI of 46.9 (7.0) kg/m2 , 80 (11%) reported at least one pregnancy. After adjusting for covariates, percent change in total body weight was not significantly different between women who became pregnant and those who did not during a 5-year follow-up period (ß = 2.02; 95% CI: -1.03 to 5.07; P = 0.19). Additionally, mean birth weight was not significantly different between mothers who underwent Roux-en-Y gastric bypass versus laparoscopic adjustable gastric banding (P = 0.99). CONCLUSIONS: Postoperative pregnancy did not diminish long-term weight loss in women in the LABS-2 study. The finding of comparable weight loss is relevant for providers counseling women of reproductive age on weight-loss expectations and family planning following bariatric surgery.

Maternal prepregnancy BMI and size at birth: race/ethnicity-stratified, within-family associations in over 500,000 siblings.

PURPOSE: To estimate racial/ethnic-stratified effects of maternal prepregnancy BMI on size for gestational age at birth, by comparing siblings within families. METHODS: This study examined linked vital statistics and patient discharge data from 580,960 infants born to 278,770 women in the State of California (2007-2012). To control for family-level confounding, we used fixed effects multinomial regression, modeling size for gestational age (small [SGA], appropriate, large [LGA]) as a function of maternal BMI (underweight, normal weight, overweight, obesity class I, II, III) and time-varying covariates. We conducted overall and race/ethnicity-stratified (non-Hispanic white, black, Asian; Hispanic) analyses. For comparison, we fit analogous random effects models, which do not control for family-level confounding. RESULTS: In fixed effects models, maternal BMI was most strongly associated with LGA in non-Hispanic white women, reaching 6.7 times greater for class III obesity (OR [95% CI]: 6.7 [5.1, 8.7]); and weakest in black women (OR [95% CI]: 3.0 [1.5, 5.7]). Associations with SGA were similar across race/ethnicity. Compared with random effects estimates, fixed effects were most attenuated for LGA associations among racial/ethnic minority women. CONCLUSIONS: Maternal prepregnancy BMI was differentially associated with size for gestational age across racial/ethnic groups, with the strongest family-level confounding in racial/ethnic minority women.

The tipping point: could increasing the subminimum wage reduce poverty-related antenatal stressors in U.S. women?

PURPOSE: Tipped workers, primarily women of reproductive-age, can be paid a "subminimum wage" 71% lower than the federal minimum wage, contributing to economic hardship. Poverty-related antenatal stress has deleterious health effects for women and their children. The purpose of this study was to investigate the effects of increasing the state-level subminimum wage (currently $2.13 per hour) on poverty-related antenatal stress for women in the United States. METHODS: Utilizing a difference-in-differences approach comparing state wage policies over time, we estimated the impact of increases in the subminimum wage on poverty-related antenatal stress using data from 35 states participating in the Pregnancy Risk Assessment Monitoring System between 2004 and 2014, linked to state-level wage laws, census, and antipoverty policy data. RESULTS: The effect of increasing the subminimum wage on poverty-related stress differed by year and sociodemographics. Wage increases in 2014 were associated with the largest decreases in stress for unmarried women of color with less than a college degree, a population that we estimated would have experienced a 19.7% reduction in stress from 2004 to 2014 if subminimum wage was equivalent to the federal minimum wage. CONCLUSIONS: Increasing the subminimum wage can reduce poverty-related stress and may be a potential intervention for reducing poor health outcomes.

A nationwide investigation of the impact of the tipped worker subminimum wage on infant size for gestational age.

Tipped workers, primarily women of reproductive-age, can be paid a "subminimum wage" 71% lower than the federal minimum wage. We estimated the effects of increasing the state-level tipped worker subminimum wage (federally, $2.13 per hour) on infant size for gestational age in the US as infants born small or large are at risk for poor health across the lifecourse. Utilizing unconditional quantile regression and difference-in-differences analysis of data from 2004 to 2016 Vital Statistics Natality Files (N = 41,219,953 mother-infant dyads), linked to state-level wage laws, census, and antipoverty policy data, we estimated the effect of increasing the subminimum wage on birthweight standardized for gestational age (BWz). Smallest and largest infants are defined as those in the 5th and 95th BWz percentiles, respectively. Increases in the subminimum wage affected the BWz distribution. When compared to a static wage of $2.13 for the duration of the study period, wage set to 100% of the federal minimum ($5.15-$7.25) was associated with an increase in BWz of 0.024 (95% CI: 0.004, 0.045) for the smallest infants and a decrease by 0.041 (95% CI: -0.054, -0.029) for the largest infants. Increasing the subminimum wage may be one strategy to promote healthier birthweight in infants.

Social Determinants of Placental Health and Future Disease Risks for Babies.

Birthweight is a well-known predictor of adult-onset chronic disease. The placenta plays a necessary role in regulating fetal growth and determining birth size. Maternal stressors that affect placental function and prenatal growth include maternal overnutrition and undernutrition, toxic social stress, and exposure to toxic chemicals. These stressors lead to increased vulnerability to disease within any population. This vulnerability arises from placental and fetal exposure to stressors during fetal life. The biological drivers linking various social determinants of health to compromised placental function and fetal development have been little studied.

Physical and Mental Health-Related Quality of Life Changes Among Insurer Subgroups Following Bariatric Surgery.

OBJECTIVE: This study sought to determine improvements in mental and physical health-related quality of life (HRQOL) following bariatric surgery in Medicaid and commercially insured patients. METHODS: Using data from the Longitudinal Assessment of Bariatric Surgery, an observational cohort study of adults undergoing bariatric surgery (2006-2009), changes in Short Form 36 mental component summary (MCS) and physical component summary (PCS) scores were examined in 1,529 patients who underwent Roux-en-Y gastric bypass, laparoscopic adjustable band, or sleeve gastrectomy and were followed for 5 years. Piecewise linear mixed-effects models estimated MCS and PCS scores as a function of insurance group (Medicaid, N = 177; commercial, N = 1,352) from 0 to 1 year and from 1 to 5 years after surgery, with interactions between insurance group and surgery type. RESULTS: Patients with Medicaid had lower PCS and MCS scores at baseline. At 1 year after surgery, patients with Medicaid and commercial insurance experienced similar improvement in PCS scores (commercial-Medicaid difference in PCS change [95% CI]: Roux-en-Y gastric bypass, 1.5 [-0.2, 3.3]; laparoscopic adjustable band, 1.9 [-2.2, 6.0]; sleeve gastrectomy, 6.4 [0.0, 12.8]). One-year MCS score improvement was minimal and similar between insurance groups. In years 1 to 5, PCS and MCS scores were stable in all groups. CONCLUSIONS: Both insurance groups experienced improvements in physical HRQOL and minimal changes in mental HRQOL.

Prenatal predictors of objectively measured appetite regulation in low-income toddlers and preschool-age children.

BACKGROUND: Prenatal nutrition impacts offspring appetite regulation in animal models. However, evidence from humans is scarce. OBJECTIVE: To determine associations between indicators of prenatal nutrition and appetite regulation among young children. METHODS: Participants included 454 low-income mother/child dyads (mean child age = 45.2 months [SD = 9.7]). Children's appetite regulation was ascertained with the maternal-reported Child Eating Behavior Questionnaire and objectively assessed using the Eating in the Absence of Hunger protocol. Using hierarchical linear regression, we modelled child appetite regulation measures as a function of prenatal nutrition indicators (child birthweight z scores [BWz, BWz2 ]; maternal pre-pregnancy body mass index [BMI], gestational weight gain [GWG]), adjusted for sociodemographic characteristics. RESULTS: Among girls, higher and lower birthweight were associated with greater energy consumed in the absence of hunger, primarily sweet foods, coeff (95% CI): BWz 0.17 (0.05, 0.28), BWz2 0.15 (0.04, 0.26), but not food responsiveness or food enjoyment. Higher birthweight was also associated with greater satiety responsiveness among girls. Among boys, birthweight was unrelated to measures of appetite regulation. Associations between maternal BMI and GWG and child appetite regulation were inconsistent. CONCLUSIONS: Among low-income girls, but not boys, indicators of adverse prenatal conditions were associated with poor objectively measured appetite regulation during early childhood.

Comparing Prescribing and Dispensing Data of the PCORnet Common Data Model Within PCORnet Antibiotics and Childhood Growth Study.

Researchers often use prescribing data from electronic health records (EHR) or dispensing data from medication or medical claims to determine medication utilization. However, neither source has complete information on medication use. We compared antibiotic prescribing and dispensing records for 200,395 patients in the National Patient-Centered Clinical Research Network (PCORnet) Antibiotics and Childhood Growth Study. We stratified analyses by delivery system type [closed integrated (cIDS) and non-cIDS]; 90.5 percent and 39.4 percent of prescribing records had matching dispensing records, and 92.7 percent and 64.0 percent of dispensing records had matching prescribing records at cIDS and non-cIDS, respectively. Most of the dispensings without a matching prescription did not have same-day encounters in the EHR, suggesting they were medications given outside the institution providing data, such as those from urgent care or retail clinics. The sensitivity of prescriptions in the EHR, using dispensings as a gold standard, was 99.1 percent and 89.9 percent for cIDS and non-cIDS, respectively. Only 0.7 percent and 6.1 percent of patients at cIDS and non-cIDS, respectively, were classified as false-negative, i.e. entirely unexposed to antibiotics when they in fact had dispensings. These patients were more likely to have a complex chronic condition or asthma. Overall, prescription records worked well to identify exposure to antibiotics. EHR data, such as the data available in PCORnet, is a unique and vital resource for clinical research. Closing data gaps by understanding why prescriptions may not be captured can improve this type of data, making it more robust for observational research.

Not so implausible: impact of longitudinal assessment of implausible anthropometric measures on obesity prevalence and weight change in children and adolescents.

PURPOSE: Implausible anthropometric measures are typically identified using population outlier definitions, conflating implausible and extreme measures. We determined the impact of a longitudinal outlier approach on prevalence of body mass index (BMI) categories and mean change in anthropometric measures in pediatric electronic health record data. METHODS: We examined 996,131 observations from 147,375 children (10-18 years) in the ADVANCE Clinical Data Research Network, a national network of community health centers. Sex-stratified, mixed effects, linear spline regression modeled weight, height, and BMI as a function of age. Longitudinal outliers were defined as observations with studentized residual greater than |6|; population outliers were defined by Centers for Disease Control-defined z-score thresholds. RESULTS: At least 99.7% of anthropometric measures were not extreme by longitudinal or population definitions (agreement ≥ 0.995). BMI category prevalence after excluding longitudinal or population outliers differed by less than 0.1%. Among children greater than 85th percentile at baseline, annual mean changes in anthropometric measures were larger in data that excluded longitudinal (girls: 1.24 inches, 12.39 pounds, 1.53 kg/m2; boys: 2.34, 14.08, 1.07) versus population outliers (girls: 0.61 inches, 8.22 pounds, 0.75 kg/m2; boys: 1.53, 11.61, 0.48). CONCLUSIONS: Longitudinal outlier methods may reduce underestimation of anthropometric change in children with elevated baseline values.

The Health and economic effects of light rail lines: design, methods, and protocol for a natural experiment.

BACKGROUND: The health impacts of community design have been studied extensively over the past two decades. In particular, public transportation use is associated with more walking between transit stops and shops, work, home and other destinations. Change in transit access has been linked with physical activity and obesity but seldom to health outcomes and associated costs, especially within a causal framework. Health related fiscal impacts of transit investment should be a key consideration in major transit investment decisions. METHODS: The Rails & Health study is a natural experiment evaluating changes in clinical measures, health care utilization and health care costs among Kaiser Permanente Northwest (KPNW) members following the opening of a new light rail transit (LRT) line in Portland, Oregon. The study is prospectively following 3036 adults exposed to the new LRT line and a similar cohort of 4386 adults who do not live close to the new line. Individual-level outcomes and covariates are extracted from the electronic medical record at KPNW, including member demographics and comorbidities, blood pressure, body mass index, lipids, glycosylated hemoglobin, and health care utilization and costs. In addition, participants are surveyed about additional demographics, travel patterns, physical activity (PA), and perceived neighborhood walkability. In a subsample of the study population, we are collecting direct measures of travel-related behavior-physical activity (accelerometry), global positioning system (GPS) tracking, and travel diaries-to document mechanisms responsible for observed changes in health outcomes and cost. Comprehensive measures of the built environment at baseline and after rail construction are also collected. Statistical analyses will (1) examine the effects of opening a new LRT line on chronic disease indicators, health care utilization, and health care costs and (2) evaluate the degree to which observed effects of the LRT line on health measures and costs are mediated by changes in total and transportation-associated PA. DISCUSSION: The results of the Rails & Health study will provide urban planners, transportation engineers, health practitioners, developers, and decision makers with critical information needed to document how transit investments impact population health and related costs.

Maternal antibiotic use during pregnancy and childhood obesity at age 5 years.

OBJECTIVE: The benefits of antibiotic treatment during pregnancy are immediate, but there may be long-term risks to the developing child. Prior studies show an association between early life antibiotics and obesity, but few have examined this risk during pregnancy. SUBJECTS: To evaluate the association of maternal antibiotic exposure during pregnancy on childhood BMI-z at 5 years, we conducted a retrospective cohort analysis. Using electronic health record data from seven health systems in PCORnet, a national distributed clinical research network, we included children with same-day height and weight measures who could be linked to mothers with vital measurements during pregnancy. The primary independent variable was maternal outpatient antibiotic prescriptions during pregnancy (any versus none). We examined dose response (number of antibiotic episodes), spectrum and class of antibiotics, and antibiotic episodes by trimester. The primary outcome was child age- and sex-specific BMI-z at age 5 years. RESULTS: The final sample was 53,320 mother-child pairs. During pregnancy, 29.9% of mothers received antibiotics. In adjusted models, maternal outpatient antibiotic prescriptions during pregnancy were not associated with child BMI-z at age 5 years (ß = 0.00, 95% CI -0.03, 0.02). When evaluating timing during pregnancy, dose-response, spectrum and class of antibiotics, there were no associations of maternal antibiotics with child BMI-z at age 5 years. CONCLUSION: In this large observational cohort, provision of antibiotics during pregnancy was not associated with childhood BMI-z at 5 years.

The Association between Maternal Height, Body Mass Index, and Perinatal Outcomes.

OBJECTIVE: To test the hypothesis that maternal height is associated with adverse perinatal outcomes, controlling for and stratified by maternal body mass index (BMI). STUDY DESIGN: This was a retrospective cohort study of all births in California between 2007 and 2010 (n = 1,775,984). Maternal height was categorized into quintiles, with lowest quintile (≤20%) representing shorter stature and the uppermost quintile (≥80%) representing taller stature. Outcomes included gestational diabetes mellitus (GDM), preeclampsia, cesarean, preterm birth (PTB), macrosomia, and low birth weight (LBW). We calculated height/outcome associations among BMI categories, and BMI/outcome associations among height categories, using various multivariable logistic regression models. RESULTS: Taller women were less likely to have GDM, nulliparous cesarean, PTB, and LBW; these associations were similar across maternal BMI categories and persisted after multivariable adjustment. In contrast, when stratified by maternal height, the associations between maternal BMI and birth outcomes varied by specific outcomes, for example, the association between morbid obesity (compared with normal or overweight) and the risk of GDM was weaker among shorter women (adjusted odds ratio [aOR], 95% confidence interval [CI]: 3.48, 3.28-3.69) than taller women (aOR, 95% CI: 4.42, 4.19-4.66). CONCLUSION: Maternal height is strongly associated with altered perinatal risk even after accounting for variations in complications by BMI.

Analyzing Policies Through a DOHaD Lens: What Can We Learn?

Social, health, and environmental policies are critical tools for providing the conditions needed for healthy populations. However, current policy analyses fall short of capturing their full potential impacts across the life course and from generation to generation. We argue that the field of Developmental Origins of Health and Disease (DOHaD), a conceptual and research framework positing that early life experiences significantly affect health trajectories across the lifespan and into future generations, provides an important lens through which to analyze social policies. To illustrate this point, we synthesized evidence related to policies from three domains-family leave, nutrition, and housing-to examine the health implications for multiple generations. We selected these policy domains because they represent increasing distance from a reproductive health focus, each with a growing evidence base to support a potential impact on pregnant women and their offspring. Each of these examples represents an opportunity to extend our understanding of policy impact using a DOHaD lens, taking into account the potential life course and intergenerational effects that have previously been overlooked.

Reduction in Comorbid Conditions Over 5 Years Following Bariatric Surgery in Medicaid and Commercially Insured Patients.

OBJECTIVE: This study sought to determine changes in the prevalence of comorbid disease following bariatric surgery in Medicaid patients compared with commercially insured patients. METHODS: Data were obtained from the Longitudinal Assessment of Bariatric Surgery, an observational cohort study of adults undergoing bariatric surgery at one of six geographically diverse centers in the United States. A total of 1,201 patients who underwent Roux-en-Y gastric bypass with 5 years of follow-up were identified. Poisson mixed models were used to estimate relative risks (RRs) and compare changes in common comorbidities between insurance groups within 0-1 and 1-5 years post surgery. Propensity scores were used to achieve balance in the baseline comorbidity burden between Medicaid and commercial patients. RESULTS: In the first year, risk of all six comorbidities decreased substantially over time in both groups, ranging from a 32% to a 69% decrease from baseline. After 1 year post surgery, the risk of disease was stable in both groups (RRs ranged from 1.0 to 1.1). After propensity score weighting, the RRs in the first year were more similar in magnitude, while the RRs in the 1- to 5-year period were unchanged. CONCLUSIONS: These results suggest that Medicaid patients experience a medium-term reduction in comorbid disease after bariatric surgery.