Objectives: We assessed the effects of a school-based obesity prevention intervention that included dietary, curricula, and physical activity components on body mass index (BMI) percentiles and academic performance among low-income elementary school children.
Methods: The study had a quasi-experimental design (4 intervention schools and 1 control school; 4588 schoolchildren; 48% Hispanic) and was conducted over a 2-year period. Data are presented for the subset of the cohort who qualified for free or reduced-price school lunches (68% Hispanic; n = 1197). Demographic and anthropometric data were collected in the fall and spring of each year, and academic data were collected at the end of each year.
Results: Significantly more intervention than control children stayed within normal BMI percentile ranges both years (P = .02). Although not significantly so, more obese children in the intervention (4.4%) than in the control (2.5%) decreased their BMI percentiles. Overall, intervention schoolchildren had significantly higher math scores both years (P < .001). Hispanic and White intervention schoolchildren were significantly more likely to have higher math scores (P < .001). Although not significantly so, intervention schoolchildren had higher reading scores both years.
Conclusions: School-based interventions can improve health and academic performance among low-income schoolchildren.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2836343 | PMC |
http://dx.doi.org/10.2105/AJPH.2009.165746 | DOI Listing |
Data Brief
February 2025
Facultad de Educación, Universidad Indoamérica, Quito, Ecuador.
This dataset contains evaluation results from video game-based assessments administered to first-level university students across six different academic programs at Universidad Indoamérica from October 2022 to August 2024. The data were collected using an adapted version of Pacman through the ClassTools.net platform, where traditional quiz questions were integrated into gameplay mechanics.
View Article and Find Full Text PDFContemp Clin Trials Commun
February 2025
Department of Medicine, Division of General Internal Medicine and Center for Health Information Partnerships, Institute for Public Health and Medicine, Northwestern University Feinberg School of Medicine, USA.
Background: Unhealthy alcohol use is a leading cause of preventable mortality and a risk factor for an array of social and health problems. The Intervention in Small primary care Practices to Implement Reduction in unhealthy alcohol use (INSPIRE) study is part of a nationwide campaign to improve the identification and treatment of patients engaging in unhealthy alcohol use.
Methods: We conducted a single arm, pragmatic study consisting of seventeen primary care practices in the Chicago metropolitan area, Wisconsin, and California across two waves with a 6-month latent period, a 12-month intervention period, followed by a 6-month sustainability period.
HardwareX
March 2025
INRAE - French National Research Institute for Agriculture, Food and Environment, REVERSAAL Research Unit, 5 rue de la Doua, CS 20244, 69625 Villeurbanne Cedex, France.
Sensors play an important role in both the continuous monitoring and intermittent analyses, which are essential for the study of wastewater treatment plant management and conducting related research. Given the significant environmental impact of the issues involved, accurate measurement of the volume of water flowing into and out of treatment plants is a key parameter for plant management, ecotoxicological studies and academic research programs. Traditionally, flow measurements have been based on calibrated weirs or venturi flumes, using water level measurements for conversion into flow, according to established relationships.
View Article and Find Full Text PDFEndosc Ultrasound
December 2024
Department of Gastroenterology, Ponderas Academic Hospital, Bucharest, Romania.
Background: EUS-guided fine-needle biopsy is the procedure of choice for the diagnosis of pancreatic ductal adenocarcinoma (PDAC). Nevertheless, the samples obtained are small and require expertise in pathology, whereas the diagnosis is difficult in view of the scarcity of malignant cells and the important desmoplastic reaction of these tumors. With the help of artificial intelligence, the deep learning architectures produce a fast, accurate, and automated approach for PDAC image segmentation based on whole-slide imaging.
View Article and Find Full Text PDFHeliyon
January 2025
College of Computer Science and Artificial Intelligence, Wenzhou University, Wenzhou, 325035, China.
In the context of graduate learning in China, mentors are the teachers with the highest frequency of contact and the closest relationships with postgraduate students. Nevertheless, a number of issues pertaining to the relationship between mentors and postgraduate students have emerged with increasing frequency in recent years, resulting in a notable decline in the quality of graduate education. In this paper, we investigate the influence of the relationship between mentors and postgraduate students on the postgraduate learning performance, with postgraduate students' admission motivation and learning pressure acting as moderating variables.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!