133 research outputs found

    Risk Factors for Prenatal Depressive Symptoms Among Hispanic Women

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    Prior studies of risk factors for depressive symptoms during pregnancy are sparse and the majority have focused on non-Hispanic white women. Hispanics are the largest minority group in the US and have the highest birth rates

    Correlates of High Perceived Stress Among Pregnant Hispanic Women in Western Massachusetts

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    Prenatal psychosocial stress has been associated with adverse pregnancy outcomes, even after controlling for known risk factors. This paper aims to evaluate correlates of high perceived stress among Hispanic women, a group with elevated rates of stress during pregnancy

    Prepregnancy body mass index, gestational weight gain, and elevated depressive symptoms in a Hispanic cohort.

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    Our objective was to assess the associations among prepregnancy Body Mass Index (BMI), gestational weight gain (GWG), and elevated depressive symptoms across pregnancy

    Physical activity and depressive symptoms during pregnancy among Latina women: a prospective cohort study

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    Abstract Background Latina women are at increased risk for antenatal depressive disorders, which are common during pregnancy and are associated with elevated risk for poor maternal health and birth outcomes. Physical activity is a potential mechanism to reduce the likelihood of depressive symptoms. The purpose of the study was to assess whether total and domain-specific physical activity in early pregnancy reduced risk for elevated antenatal depressive symptoms in mid-late pregnancy in a population of Latina women at high-risk for depression. Methods Data from 820 Latina participants in the prospective cohort study Proyecto Buena Salud was examined using multivariable logistic regression. Total, moderate/vigorous, and domain-specific physical activity (household/caregiving, occupational, sports/exercise, transportation) were assessed using the Pregnancy Physical Activity Questionnaire. The Edinburgh Postnatal Depression Scale was used to assess depressive symptoms and identify women with elevated symptoms indicative of at least probable minor depression and probable major depression. Results A total of 25.9% of participants experienced at least probable minor depression and 19.1% probable major depression in mid-late pregnancy. After adjusting for important risk factors, no significant associations were observed between total physical activity (4th Quartile vs.1st Quartile OR = 1.02, 95% CI = 0.61, 1.71; p-trend = 0.62) or meeting exercise guidelines in pregnancy (OR = 0.96, 95% CI = 0.65, 1.41) and at least probable minor depression; similarly, associations were not observed between these measures and probable major depression. There was a suggestion of increased risk of probable major depression with high levels of household/caregiving activity (4th Quartile vs 1st Quartile OR = 1.51, 95% CI = 0.93, 2.46), but this was attenuated and remained not statistically significant after adjustment. When we repeated the analysis among women who did not have elevated depressive symptoms in early pregnancy (n = 596), findings were unchanged, though a nonsignificant protective effect was observed for sport/exercise activity and probable major depression in fully adjusted analysis (OR = 0.63, 95% CI = 0.30, 1.33). Conclusion Among Latina women at high-risk for antenatal depression, early pregnancy physical activity was not associated with elevated depressive symptoms in mid-to-late pregnancy

    Strategies for recruiting Hispanic women into a prospective cohort study of modifiable risk factors for gestational diabetes mellitus

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    BACKGROUND: The purpose of this article was to describe effective strategies for recruitment of Hispanic women into a prospective cohort study of modifiable risk factors for gestational diabetes mellitus (GDM). Although Hispanic women have two to four times the risk of developing GDM compared with non-Hispanic white women, few GDM prevention studies have included Hispanic women. METHODS: The study was conducted in the ambulatory obstetrical practices of Baystate Medical Center located in a socioeconomically and ethnically diverse city in Massachusetts. The study employed a range of strategies to recruit Hispanic women based on a review of the literature as well as prior experience with the study population. RESULTS: Over a period of 32 months, a total of 851 Hispanic prenatal care patients were recruited. Among eligible women, 52.4% agreed to participate. Participants were young (70% <25 years), with low levels of education, and on public health insurance (81.5%); 88% were unmarried. Study design features such as use of bilingual recruiters, a flexible recruitment process, training recruiters to be culturally sensitive, use of culturally tailored materials, prescreening participants, participant compensation, seeking the cooperation of clinic staff, and continuous monitoring of recruitment goals emerged as important issues influencing recruitment. CONCLUSIONS: Findings suggest that investigators can successfully recruit pregnant women from ethnic minority groups of low socioeconomic status into observational studies. The study provides culturally appropriate recruitment strategies useful for practice-based settings recruiting Hispanic research participation

    Clinical and Economic Evaluation of a Proteomic Biomarker Preterm Birth Risk Predictor: Cost-Effectiveness Modeling of Prenatal Interventions Applied to Predicted Higher-Risk Pregnancies Within a Large and Diverse Cohort

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    Objectives: Preterm birth occurs in more than 10% of U.S. births and is the leading cause of U.S. neonatal deaths, with estimated annual costs exceeding $25 billion USD. Using real-world data, we modeled the potential clinical and economic utility of a prematurity-reduction program comprising screening in a racially and ethnically diverse population with a validated proteomic biomarker risk predictor, followed by case management with or without pharmacological treatment. Methods: The ACCORDANT microsimulation model used individual patient data from a prespecified, randomly selected sub-cohort (N = 847) of a multicenter, observational study of U.S. subjects receiving standard obstetric care with masked risk predictor assessment (TREETOP; NCT02787213). All subjects were included in three arms across 500 simulated trials: standard of care (SoC, control); risk predictor/case management comprising increased outreach, education and specialist care (RP-CM, active); and multimodal management (risk predictor/case management with pharmacological treatment) (RP-MM, active). In the active arms, only subjects stratified as higher risk by the predictor were modeled as receiving the intervention, whereas lower-risk subjects received standard care. Higher-risk subjects\u27 gestational ages at birth were shifted based on published efficacies, and dependent outcomes, calibrated using national datasets, were changed accordingly. Subjects otherwise retained their original TREETOP outcomes. Arms were compared using survival analysis for neonatal and maternal hospital length of stay, bootstrap intervals for neonatal cost, and Fisher\u27s exact test for neonatal morbidity/mortality (significance, p \u3c .05). Results: The model predicted improvements for all outcomes. RP-CM decreased neonatal and maternal hospital stay by 19% (p = .029) and 8.5% (p = .001), respectively; neonatal costs\u27 point estimate by 16% (p = .098); and moderate-to-severe neonatal morbidity/mortality by 29% (p = .025). RP-MM strengthened observed reductions and significance. Point estimates of benefit did not differ by race/ethnicity. Conclusions: Modeled evaluation of a biomarker-based test-and-treat strategy in a diverse population predicts clinically and economically meaningful improvements in neonatal and maternal outcomes

    Performance of a proteomic preterm delivery predictor in a large independent prospective cohort

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    Background Preterm birth remains a common and devastating complication of pregnancy. There remains a need for effective and accurate screening methods for preterm birth. Using a proteomic approach, we previously discovered and validated (Proteomic Assessment of Preterm Risk study, NCT01371019) a preterm birth predictor comprising a ratio of insulin-like growth factor-binding protein 4 to sex hormone-binding globulin. Objective To determine the performance of the ratio of insulin-like growth factor-binding protein 4 to sex hormone-binding globulin to predict both spontaneous and medically indicated very preterm births, in an independent cohort distinct from the one in which it was developed. Study Design This was a prospective observational study (Multicenter Assessment of a Spontaneous Preterm Birth Risk Predictor, NCT02787213) at 18 sites in the United States. Women had blood drawn at 170/7 to 216/7 weeks’ gestation. For confirmation, we planned to analyze a randomly selected subgroup of women having blood drawn between 191/7 and 206/7 weeks’ gestation, with the results of the remaining study participants blinded for future validation studies. Serum from participants was analyzed by mass spectrometry. Neonatal morbidity and mortality were analyzed using a composite score by a method from the PREGNANT trial (NCT00615550, Hassan et al). Scores of 0–3 reflect increasing numbers of morbidities or length of neonatal intensive care unit stay, and 4 represents perinatal mortality. Results A total of 5011 women were enrolled, with 847 included in this planned substudy analysis. There were 9 preterm birth cases at <320/7 weeks’ gestation and 838 noncases at ≥320/7 weeks’ gestation; 21 of 847 infants had neonatal composite morbidity and mortality index scores of ≥3, and 4 of 21 had a score of 4. The ratio of insulin-like growth factor-binding protein 4 to sex hormone-binding globulin ratio was substantially higher in both preterm births at <320/7 weeks’ gestation and there were more severe neonatal outcomes. The ratio of insulin-like growth factor-binding protein 4 to sex hormone-binding globulin ratio was significantly predictive of birth at <320/7 weeks’ gestation (area under the receiver operating characteristic curve, 0.71; 95% confidence interval, 0.55–0.87; P=.016). Stratification by body mass index, optimized in the previous validation study (22<body mass index≤37 kg/m2), resulted in an area under the receiver operating characteristic curve of 0.76 (95% confidence interval, 0.59–0.93; P=.023). The ratio of insulin-like growth factor-binding protein 4 to sex hormone-binding globulin ratio predicted neonatal outcomes with respective area under the receiver operating characteristic curve of 0.67 (95% confidence interval, 0.57–0.77; P=.005) and 0.78 (95% confidence interval, 0.63–0.93; P=.026) for neonatal composite morbidity and mortality scores of ≥3 or 4. In addition, the ratio of insulin-like growth factor-binding protein 4 to sex hormone binding globulin significantly stratified neonates with increased length of hospital stay (log rank P=.023). Conclusion We confirmed in an independent cohort the ratio of insulin-like growth factor-binding protein 4 to sex hormone-binding globulin ratio as a predictor of very preterm birth, with additional prediction of increased length of neonatal hospital stay and increased severity of adverse neonatal outcomes. Potential uses of the ratio of insulin-like growth factor-binding protein 4 to sex hormone-binding globulin predictor may be to risk stratify patients for implementation of preterm birth preventive strategies and direct patients to appropriate levels of care
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