DISCUSSION Objective assessment of sleep quality and physical activity among pregnant women in a resource-constrained setting was promising, despite modest data collection completeness. Wearable technology could be used in health interventions to improve sleep quality and physical activity among this population.OBJECTIVE To analyze how engagement with a staffed family child network is associated with compliance on health and safety regulations among family day care (FDC) homes. METHODS Publically available data on health and safety inspection violations on FDC homes were merged with engagement data from a staffed family child network. Descriptive analysis, logistic regression, and latent class analysis were used. RESULTS Network FDC homes, compared to non-network FDC homes, were less likely to have health and safety violations in the areas of Child/Family/Staff Documentation (43.1% vs. 53.6%, p = 0.001) and Indoor Safety (36.0% vs. 42.6%, p = .041). Controlling for area median income and for decades since obtaining license, network FDC homes had fewer violations, fewer violation categories, and less variety of violation categories. Additionally, FDC homes which were not engaged with the staffed family child network but were in the city or town in which the network offered services, performed better compared to FDC homes in cities or towns without network resources. CONCLUSIONS FOR PRACTICE The better compliance among network FDC homes and among FDC homes in cities and towns where the network offers services, suggests that the network is having positive effects on health and safety quality in FDC homes. A staffed child care network may be a means to improve child care quality and may be a means of improving educational and health outcomes for children.BACKGROUND Low birth weight (LBW) is associated with significant mortality and morbidity and remains a significant preventable problem. Risk factors include socioeconomic, demographics, and characteristics of the environment. Spatial analysis can uncover unusual frequencies of health problems in neighborhoods, eventually leading to insights for targeted interventions. OBJECTIVES This study's goals were to 1. Evaluate the geographic distribution of spatial clusters of LBW births and maternal risk factors. 2. Determine the spatial relationship between risk factors and LBW. METHODS This study obtained data on LBW newborns and risk factors from 19,013 births over 5 years (2012-2016) for Escambia County Census Tracts, extracted from FloridaCharts.com. Software was used to detect significant spatial clusters; these clusters were then plotted on a map. Poisson regression determined the statistical relationship between Census Tract risk factors and LBW. A separate analysis of the LBW cluster controlling for risk factors was also performed. RESULTS All risk factor clusters resided in similar locations as the LBW cluster. The multiple Poisson regression model containing all risk factors fully explained the LBW cluster. On bivariate Poisson regression all risk factors in the Census Tract were significantly related to LBW whereas in multivariable Poisson regression, the proportion of births to African American women in the Census Tract remained significant after adjusting for other risk factors (p  less then  0.001). CONCLUSIONS FOR PRACTICE Clusters of LBW and risk factors were located in the same region of the county, with the proportion of births to African American women in the Census Tract remaining significant on multiple Poisson Regression. Targeted interventions should be directed at the geographic level.The human body immune system, metabolism and homeostasis are affected by microbes. Dysbiosis occurs when the homeostatic equilibrium is disrupted due to an alteration in the normal microbiota of the intestine. Dysbiosis can cause cancer, and also affect a patient's ability to respond to treatment. Metataxonomics seeks to identify the bacteria present in a biological sample, based on the sequencing of the 16S rRNA genetic marker. Precision medicine attempts to find relationships between the microbiota and the risk of acquiring cancer, and design new therapies targeting bacteria. Flexible and portable bioinformatic pipelines are necessary to be able to bring metataxonomics to the clinical field, which allow groups of biological samples to be classified according to their diversity in the microbiota. With this aim we implemented Metatax, a new pipeline to analyze biological samples based on 16S rRNA gene sequencing. The results obtained with our pipeline should complement those obtained by sequencing a patient's DNA and RNA, in addition to clinical data, to improve knowledge of the possible reasons for a disease or a worse response to treatment.BACKGROUND AND AIM Diarrhea in kidney transplant recipients influences outcome of transplantation. Data from India in this regard are sparse and do not address the differential outcome of infective and non-infective diarrhea. We studied the demographic data, laboratory findings, treatment response, disease duration, and outcome of diarrhea in kidney transplant recipients, and the differential outcome between infective and non-infective diarrhea, if any. METHODS All kidney transplant recipients who were referred to the Division of Gastroenterology with diarrhea between June 2015 and February 2017 were prospectively included. Demographic, clinical and laboratory data, graft function, treatment administered, and outcome were noted, and the patients were followed up for 3 months. RESULTS Forty-seven patients (median age 45 years, range 16-78; 34 men) with 64 episodes of diarrhea were studied. Thirty-three (51.5%) episodes were attributed to infections. Selleckchem EN4 Eleven (17%) were immunosuppressant-induced (mycophenolate 8, tacrolimus 2, cyclosporine 1). Twenty (31%) were due to other causes (antibiotics 6, laxatives 3, irritable bowel syndrome 3, sepsis 8). Fifty-three episodes (82%) had graft dysfunction during the diarrheal episodes. Mean increase in serum creatinine was 45% in the infectious diarrhea group and 95% in the non-infectious diarrhea group (p  less then  0.05). Median time to resolution of diarrhea was 3 days. With improvement in diarrhea, return to pre-diarrhea creatinine levels occurred in 87% of episodes at 3 months. CONCLUSION One-half of episodes of diarrhea in kidney transplant recipients were non-infectious in origin. Seventeen percent were attributed to immunosuppressants, requiring dose modification. More than 80% were associated with worsening of graft function. Recovery of graft function to baseline was seen in a majority of cases with the resolution of diarrhea.