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Background: The School Wellness Integration Targeting Child Health (SWITCH) intervention has demonstrated feasibility as an implementation approach to help schools facilitate changes in students' physical activity (PA), sedentary screen time (SST), and dietary intake (DI). This study evaluated the comparative effectiveness of enhanced (individualized) implementation and standard (group-based) implementation.
Methods: Twenty-two Iowa elementary schools participated, with each receiving standardized training (wellness conference and webinars). Schools were matched within region and randomized to receive either individualized or group implementation support. The PA, SST, and DI outcomes of 1097 students were assessed at pre- and post-intervention periods using the Youth Activity Profile. Linear mixed models evaluated differential change in outcomes by condition, for comparative effectiveness, and by gender.
Results: Both implementation conditions led to significant improvements in PA and SST over time (p < 0.01), but DI did not improve commensurately (p value range: 0.02‒0.05). There were no differential changes between the group and individualized conditions for PA (p = 0.51), SST (p = 0.19), or DI (p = 0.73). There were no differential effects by gender (i.e., non-significant condition-by-gender interactions) for PA (p = 0.86), SST (p = 0.46), or DI (p = 0.15). Effect sizes for both conditions equated to approximately 6 min more PA per day and approximately 3 min less sedentary time.
Conclusion: The observed lack of difference in outcomes suggests that group implementation of SWITCH is equally effective as individualized implementation for building capacity in school wellness programming. Similarly, the lack of interaction by gender suggests that SWITCH can be beneficial for both boys and girls. Additional research is needed to understand the school-level factors that influence implementation (and outcomes) of SWITCH.
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http://dx.doi.org/10.1016/j.jshs.2021.12.001 | DOI Listing |
Clin J Am Soc Nephrol
September 2025
University College London Great Ormond Street Hospital for Children and Institute of Child Health, London, UK.
Background: Experience with icodextrin use in children on long-term peritoneal dialysis is limited. We describe international icodextrin prescription practices and their impact on clinical outcomes: ultrafiltration, blood pressure control, residual kidney function (RKF), technique and patient survival.
Methods: We included patients under 21 years enrolled in the International Pediatric Peritoneal Dialysis Network (IPPN) between 2007 and 2024, on automated PD with a daytime dwell.
Clin J Am Soc Nephrol
September 2025
Division of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland USA.
Socioeconomic, environmental and lifestyle factors shape kidney health. Among the social determinants of health, access to healthy foods is particularly significant. As a basic need, food is integral to an individual's identity, culture, and health.
View Article and Find Full Text PDFClin J Am Soc Nephrol
September 2025
Kidney Division, Peking University First Hospital, Peking University Institute of Nephrology; Key Laboratory of Kidney Disease, Ministry of Health of China; Key Laboratory of Chronic Kidney Disease Prevention and Treatment (Peking University), Ministry of Education, China.
Background: The Therapeutic Effects of Steroids in IgA Nephropathy Global (TESTING) trial demonstrated that glucocorticoid therapy reduced proteinuria and improved kidney outcomes in patients with Immunoglobulin A Nephropathy (IgAN). Galactose-deficient IgA1 (Gd-IgA1) plays a central role in IgAN pathogenesis by promoting immune complex formation. However, the effects of glucocorticoid on pathogenic IgA levels remain unclear.
View Article and Find Full Text PDFJ Clin Invest
September 2025
The University of Texas at Austin, Austin, United States of America.
Background: Following SARS-CoV-2 infection, ~10-35% of COVID-19 patients experience long COVID (LC), in which debilitating symptoms persist for at least three months. Elucidating biologic underpinnings of LC could identify therapeutic opportunities.
Methods: We utilized machine learning methods on biologic analytes provided over 12-months after hospital discharge from >500 COVID-19 patients in the IMPACC cohort to identify a multi-omics "recovery factor", trained on patient-reported physical function survey scores.