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This study examined the effectiveness of a nutrition intervention program to enhance children''s knowledge, preference, and intake of whole fruit and to decrease parents'' use of controlling child-feeding behaviors. Subjects were fifth- and sixth-grade students (children aged 10-12 years) from Cincinnati, Ohio. Nine parent-child pairs completed the study. Seventeen parent-child pairs who expressed interest but were unable to attend more than one session served as controls. Based on the Social Learning Theory, the curriculum combined child-focused interactive lessons and skill-building activities with parent-focused lessons on child-feeding strategies to increase the fruit intake of children. Change in children''s knowledge, preference, and intake of fruit and parents'' use of controlling child-feeding strategies were measured in a pretest/posttest manner using validated questionnaires. There was a significant increase in knowledge scores and fruit intake by children in the experimental vs the control group. Fruit preference scores were similar between groups. Additionally, there was a significant decrease in use of controlling child-feeding strategies by parents in the intervention vs the control group. J Am Diet Assoc. 2003;103:100-103. [Copyright &y& Elsevier]

Since stormwater conveys a variety of contaminants into water bodies, green infrastructure (GI) is increasingly being adopted as an on-site treatment solution in addition to controlling peak flows. The purpose of this study was to identify differences in microbial water quality of stormwater in watersheds retrofitted with GI vs. those without GI. Considering stormwater is recently recognized as a contributor to the antibiotic resistance (AR) threat, another goal of this study was to characterize changes in the microbiome and collection of AR genes (resistome) of urban stormwater with season, rainfall characteristics, and fecal contamination. MinION long-read sequencing was used to analyze stormwater microbiome and resistome from watersheds with and without GI in Columbus, Ohio, United States, over 18 months. We characterized fecal contamination in stormwater via culturing Escherichia coli and with molecular microbial source tracking (MST) to identify sources of fecal contamination. Overall, season and storm event (rainfall) characteristics had the strongest relationships with changes in the stormwater microbiome and resistome. We found no significant differences in microbial water quality or the microbiome of stormwater in watersheds with and without GI implemented. However, there were differences between the communities of microorganisms hosting antibiotic resistance genes (ARGs) in stormwater from watersheds with and without GI, indicating the potential sensitivity of AR bacteria to treatment. Stormwater was contaminated with high concentrations of human-associated fecal bacterial genes, and the ARG host bacterial community had considerable similarities to human feces/wastewater. We also identified 15 potential pathogens hosting ARGs in these stormwater resistome, including vancomycin-resistant Enterococcus faecium (VRE) and multidrug-resistant Pseudomonas aeruginosa. In summary, urban stormwater is highly contaminated and has a great potential to spread AR and microbial hazards to nearby environments. This study presents the most comprehensive analysis of stormwater microbiome and resistome to date, which is crucial to understanding the potential microbial risk from this matrix. This information can be used to guide future public health policy, stormwater reuse programs, and urban runoff treatment initiatives., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024. Published by Elsevier Ltd.)

The global pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has resulted in more than 129 million confirm cases. Many health authorities around the world have implemented wastewater-based epidemiology as a rapid and complementary tool for the COVID-19 surveillance system and more recently for variants of concern emergence tracking. In this study, three SARS-CoV-2 target genes (N1 and N2 gene regions, and E gene) were quantified from wastewater influent samples (n = 250) obtained from the capital city and 7 other cities in various size in central Ohio from July 2020 to January 2021. To determine human-specific fecal strength in wastewater samples more accurately, two human fecal viruses (PMMoV and crAssphage) were quantified to normalize the SARS-CoV-2 gene concentrations in wastewater. To estimate the trend of new case numbers from SARS-CoV-2 gene levels, different statistical models were built and evaluated. From the longitudinal data, SARS-CoV-2 gene concentrations in wastewater strongly correlated with daily new confirmed COVID-19 cases (average Spearman's r = 0.70, p < 0.05), with the N2 gene region being the best predictor of the trend of confirmed cases. Moreover, average daily case numbers can help reduce the noise and variation from the clinical data. Among the models tested, the quadratic polynomial model performed best in correlating and predicting COVID-19 cases from the wastewater surveillance data, which can be used to track the effectiveness of vaccination in the later stage of the pandemic. Interestingly, neither of the normalization methods using PMMoV or crAssphage significantly enhanced the correlation with new case numbers, nor improved the estimation models. Viral sequencing showed that shifts in strain-defining variants of SARS-CoV-2 in wastewater samples matched those in clinical isolates from the same time periods. The findings from this study support that wastewater surveillance is effective in COVID-19 trend tracking and provide sentinel warning of variant emergence and transmission within various types of communities., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2021 Elsevier B.V. All rights reserved.)

Objectives: Data on next-day discharge (NDD) after transcatheter aortic valve replacement (TAVR) are limited. This study investigated the feasibility and safety of NDD as a first-line option (the very-early discharge [VED] strategy) compared with the early-discharge (ED) strategy (2-3 days as a first-line option) after TAVR., Methods: We reviewed 611 consecutive patients who had minimalist TAVR (transfemoral approach under conscious sedation) and no in-hospital mortality; a total of 418 patients underwent ED strategy (since December 2013) and 193 patients underwent VED strategy (as part of a hospital initiative to reduce length of stay, since August 2016). NDD in the VED strategy was performed with heart team consensus in patients without significant complications. The primary outcome was a composite of 30-day all-cause mortality/rehospitalization., Results: Sixty-five patients (33.7%) in the VED strategy and 10 patients (2.4%) in the ED strategy were discharged the next day (P<.001). NDD patients had received balloon-expandable (n = 30) or self-expanding valves (n = 45) and showed a similar primary outcome rate compared with non-NDD patients. After adjustment using propensity score matching (172 pairs), post-TAVR length of stay was significantly shorter in the VED group (3.2 ± 3.1 days) than in the ED group (3.5 ± 2.7 days; P<.01). The primary outcome did not differ between the two groups (7.0% vs 11.6%; P=.14), with comparable 30-day mortality rate (1.2% vs 2.3%; P=.68) and rehospitalization rate (5.8% vs 11.1%; P=.08)., Conclusions: Utilization of NDD as a first-line option after minimalist TAVR is feasible and safe, and leads to further reduction in length of stay compared with an ED strategy.