Very Preterm Birth is Reduced in Women Receiving an Integrated Behavioral Intervention: A Randomized Controlled Trial

Background This study examines whether an integrated behavioral intervention with proven efficacy in reducing psycho-behavioral risks (smoking, environmental tobacco smoke exposure (ETSE), depression, and intimate partner violence (IPV)) in African-Americans is associated with improved pregnancy outcomes Methods A randomized controlled trial targeting risks during pregnancy was conducted in the District of Columbia. African-American women were recruited if reporting at least one of the risks mentioned above. Randomization to intervention or usual care was site and risk specific. Sociodemographic, health risk and pregnancy outcome data were collected. Data on 819 women, and their singleton live born infants were analyzed using an intent-to-treat approach. Bivariate analyses preceded a reduced logistical model approach to elucidate the effect of the intervention on the reduction of prematurity and low birth weight. Results The incidence of low birthweight LBW was 12% and very low birthweight VLBW was 1.6%. Multivariate logistic regression results showed that depression was associated with LBW (OR=1.71, 95%CI=1.12-2.62). IPV was associated with PTB and VPTB (OR 1.64, 95%CI=1.07-2.51, OR=2.94, 95%CI=1.40-6.16, respectively). The occurrence of VPTB was significantly reduced in the intervention compared to the usual care group (OR=0.42, 95%CI=0.19-0.93). Conclusions Our study confirms the significant associations between multiple psycho-behavioral risks and poor pregnancy outcomes, including LBW and PTB. Our behavioral intervention with demonstrated efficacy in addressing multiple risk factors simultaneously reduced VPTB within an urban minority population

Sequential screening for psychosocial and behavioural risk during pregnancy in a population of urban African Americans

Objective: Screening for psychosocial and behavioral risks, such as depression, intimate partner violence and smoking, during pregnancy is considered state-of-the-art in prenatal care (PNC). This prospective longitudinal analysis examines the added benefit of repeated screening over a one-time screen in identifying such risks during pregnancy. Design: Data were collected as part of a randomized controlled trial to address intimate partner violence (IPV), depression, smoking and environmental tobacco smoke exposure (ETSE) in African-Americans women. Setting: PNC sites in the District of Columbia serving mainly minority women Population: 1044 African-American pregnant women in the District of Columbia Methods: Mothers were classified by their initial response (acknowledgement of risks) and updated during pregnancy. Risks were considered new if they were not previously reported. Standard hypothesis tests and logistic regression were used to predict acknowledgment of any new risk(s) during pregnancy. Main Outcome Measures: New risks; psychosocial variables to understand what factors might help identify acknowledgement of additional risk(s). Results: Repeated screening identified more mothers acknowledging risk over time. Reported smoking increased by 11%, ETSE by 19%, IPV by 9%, and depression by 20%. The psychosocial variables collected at the baseline that were entered into the logistic regression model included relationship status, education, Medicaid, illicit drug use, and alcohol use during pregnancy. Among these, only education less than high school was associated in acknowledgement of new risk in the bivariate analyses and significantly predicted identification of new risks (OR=1.39, 95%CI, 1.01-1.90). Conclusions: It is difficult early on to predict who will acknowledge new risks over the course of pregnancy, thus all women should be screened repeatedly to allow identification and intervention during PNC

Automatic differentiation accelerated shape optimization approaches to photonic inverse design on rectilinear simulation grids

Shape optimization approaches to inverse design offer low-dimensional, physically-guided parameterizations of structures by representing them as combinations of shape primitives. However, on discretized rectilinear simulation grids, computing the gradient of a user objective via the adjoint variables method requires a sum reduction of the forward/adjoint field solutions and the Jacobian of the simulation material distribution with respect to the structural shape parameters. These shape parameters often perturb large or global parts of the simulation grid resulting in many non-zero Jacobian entries, which are typically computed by finite-difference in practice. Consequently, the gradient calculation can be non-trivial. In this work we propose to accelerate the gradient calculation by invoking automatic differentiation (AutoDiff) in instantiations of structural material distributions. In doing so, we develop extensible differentiable mappings from shape parameters to shape primitives and differentiable effective logic operations (denoted AutoDiffGeo). These AutoDiffGeo definitions may introduce some additional discretization error into the field solutions because they relax notions of sub-pixel smoothing along shape boundaries. However, we show that some mappings (e.g. simple cuboids) can achieve zero error with respect to volumetric averaging strategies. We demonstrate AutoDiff enhanced shape optimization using three integrated photonic examples: a multi-etch blazed grating coupler, a non-adiabatic waveguide transition taper, and a polarization-splitting grating coupler. We find accelerations of the gradient calculation by AutoDiff relative to finite-difference often exceed 50x, resulting in total wall time accelerations of 4x or more on the same hardware with little or no compromise to final device performance. Our code is available open source at https://github.com/smhooten/emoptComment: 29 pages, 15 figure

An Intervention to Reduce Environmental Tobacco Smoke Exposure Improves Pregnancy Outcomes

Objective—We tested the efficacy of a cognitive-behavioral intervention in reducing environmental tobacco smoke exposure (ETSE) and improving pregnancy outcomes among African-American women. Methods—We recruited 1,044 women to a randomized controlled trial during 2001-2004 in Washington, DC. Data on 691 women with self-reported ETSE were analyzed. A subset of 520 ETSE women and salivary cotinine levels (SCLs)/ml was also analyzed. Individually tailored counseling sessions adapted from evidence-based interventions for ETSE and other risks, were delivered to the intervention group. The usual care group received routine prenatal care as determined by their provider. Logistic regression models were used to predict ETSE before delivery and adverse pregnancy outcomes. Results—Women in the intervention were less likely to self-report ETSE before delivery when controlling for other covariates (OR=0.50, 95%CI=0.35-0.71). Medicaid recipients were more likely to have ETSE (OR=1.97, 95%CI=1.31-2.96). With advancing maternal age, the likelihood of ETSE was less (OR=0.96, 95%CI=0.93-0.99). For women in the intervention the rates of very low birth weight (VLBW) and very preterm birth (VPTB) were significantly improved (OR=0.11, 95%CI=0.01-0.86; OR=0.22, 95%CI=0.07-0.68, respectively). For women with SCL/ml, maternal age was not significant. Intimate partner violence at baseline significantly increased the chances of VLBW and VPTB (OR=3.75, 95%CI=1.02-13.81; OR=2.71, 95%CI=1.11-6.62, respectively). These results were true for mothers who reported ETSE overall and for those with SCL/ml. Conclusions—This is the first randomized clinical trial demonstrating efficacy of a cognitivebehavioral intervention targeting ETSE in pregnancy. We significantly reduced ETSE as well as VPTB and VLBW, leading causes of neonatal mortality and morbidity in minority populations. This intervention may reduce health disparities seen in reproductive outcomes

Prediction of Birth Weight By Cotinine Levels During Pregnancy in a Population of African American Smokers

Objective—The goal was to investigate the association between maternal salivary cotinine levels (SCLs) and pregnancy outcome among African Americans smokers Methods—In a randomized controlled trial conducted in 2001-2004 in Washington, D.C. 714 women (126 active smokers (18%)) were tested for SCLs at the time of recruitment and later in pregnancy. Sociodemographic health risks and pregnancy outcomes were recorded. Results—Birth weights were significantly lower for infants born to mothers with baseline SCLs of ≥20 ng/ml compared to/ml (p=0.024), ≥50 ng/ml compared to/ml (p=0.002), ≥100 ng/ml compared to/ml (p=0.002), in bivariate analyses. In linear regression analyses adjusting for sociodemographic and medical factors, SCLs of ≥20 ng/ml were associated with a reduction in birth weight of 88 grams when SCLs were measured at baseline (p=0.042) and 205 grams when SCLs were measured immediately before delivery (p Conclusions—Elevated SCLs early in pregnancy or before delivery were associated with reductions in birth weight. At any cutoff level, birth weight reduction was more significant for the same SCL measured late in pregnancy. Maintaining lower levels of smoking for women who are unable to quit may be beneficial

Digital chronofiles of life experience

Technology has brought us to the point where we are able to digitally sample life experience in rich multimedia detail, often referred to as lifelogging. In this paper we explore the potential of lifelogging for the digitisation and archiving of life experience into a longitudinal media archive for an individual. We motivate the historical archive potential for rich digital memories, enabling individuals’ digital footprints to con- tribute to societal memories, and propose a data framework to gather and organise the lifetime of the subject

Enterprise IoT Security and Scalability : How Unikernels can Improve the Status Quo

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Environmental Tobacco Smoke Avoidance Among Pregnant African-American Nonsmokers

Background—Environmental tobacco smoke (ETS) exposure during pregnancy contributes to adverse infant health outcomes. Limited previous research has focused on identifying correlates of ETS avoidance. This study sought to identify proximal and more distal correlates of ETS avoidance early in pregnancy among African-American women. Methods—From a sample of low-income, black women (n=1044) recruited in six urban, prenatal care clinics (July 2001–October 2003), cotinine-confirmed nonsmokers with partners, household/ family members, or friends who smoked (n=450) were identified and divided into two groups: any past-7-day ETS exposure and cotinine-confirmed ETS avoidance. Bivariate and multivariate logistic regression analyses identified factors associated with ETS avoidance. Data were initially analyzed in 2004. Final models were reviewed and revised in 2007 and 2008. Results—Twenty-seven percent of pregnant nonsmokers were confirmed as ETS avoiders. In multivariate logistic regression analysis, the odds of ETS avoidance were increased among women who reported household smoking bans (OR=2.96; 95% CI=1.83, 4.77; p Conclusions—Social contextual factors were the strongest determinants of ETS avoidance during pregnancy. Results highlight the importance of prenatal screening to identify pregnant nonsmokers at risk, encouraging household smoking bans, gaining support from significant others, and fully understanding the interpersonal context of a woman’s pregnancy before providing behavioral counseling and advice to prevent ETS exposure