98%
921
2 minutes
20
Background: Adult-led organized settings for children (eg, classrooms) provide opportunities for physical activity (PA). The structure of setting time may influence inequalities (ie, unequalness) in the distribution of PA. This study examined differences in PA inequality by setting and time-segment purpose in time-segmented organized group settings for children.
Methods: PA and setting meetings were assessed using accelerometer and video observation data from school, before-/after-school, and youth club groups (n = 30) for third- through sixth-grade children (n = 699) in 2 rural US communities. Meetings (n = 130) were time-segmented into smaller units (sessions; n = 835). Each session was assigned a purpose code (eg, PA). Accelerometer data were paired with the meetings and sessions, and the Gini coefficient quantified inequality in activity counts and moderate to vigorous PA minutes for each segment. Beta generalized estimating equations examined differences in PA inequality by setting and session purpose.
Results: Activity count inequality was lowest (P < .05) during youth club meetings (Gini = 0.17, 95% CI, 0.14-0.20), and inequality in moderate to vigorous PA minutes was greatest (P < .01) during school (Gini = 0.34, 95% CI, 0.30-0.38). Organized PA sessions (Gini = 0.20, 95% CI, 0.17-0.23) had lower activity count inequality (P < .0001) than academic (Gini = 0.30, 95% CI, 0.27-0.34), enrichment (Gini = 0.31, 95% CI, 0.27-0.36), and nonactive recreation (Gini = 0.30, 95% CI, 0.25-0.34) sessions. Inequality in moderate to vigorous PA minutes was lower (P < .05) in organized PA (Gini = 0.26, 95% CI, 0.20-0.32) and free play (Gini = 0.28, 95% CI, 0.19-0.39) than other sessions.
Conclusions: PA inequality differed by setting time structure, with lower inequality during organized PA sessions. The Gini coefficient can illuminate PA inequalities in organized settings and may inform population PA improvement efforts in rural communities.
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http://dx.doi.org/10.1123/jpah.2024-0053 | DOI Listing |
PLoS One
June 2025
Department of Emergency, The People's Hospital of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Sciences, Nanning, China.
Objective: This study aimed to evaluate the effectiveness of a virtual reality (VR) training system for mass casualty management, integrating artificial intelligence (AI) and machine learning (ML) to analyze trainee performance and error patterns. The goal was to identify key predictors of performance, generate personalized feedback, and provide actionable recommendations for optimizing VR-based medical training.
Materials And Methods: A total of 196 medical professionals participated in a 1-hour VR training session, followed by a 20-question assessment and a post-training evaluation survey.
JMIR Ment Health
December 2024
Department of Systems and Information Engineering, University of Virginia, Charlottesville, VA, United States.
Background: Digital mental health is a promising paradigm for individualized, patient-driven health care. For example, cognitive bias modification programs that target interpretation biases (cognitive bias modification for interpretation [CBM-I]) can provide practice thinking about ambiguous situations in less threatening ways on the web without requiring a therapist. However, digital mental health interventions, including CBM-I, are often plagued with lack of sustained engagement and high attrition rates.
View Article and Find Full Text PDFJ Phys Act Health
September 2024
Department of Health Promotion, College of Public Health, University of Nebraska Medical Center, Omaha, NE, USA.
Background: Adult-led organized settings for children (eg, classrooms) provide opportunities for physical activity (PA). The structure of setting time may influence inequalities (ie, unequalness) in the distribution of PA. This study examined differences in PA inequality by setting and time-segment purpose in time-segmented organized group settings for children.
View Article and Find Full Text PDFInt J Environ Res Public Health
March 2023
Department of Community and Preventive Dentistry, School of Dentistry, Universidade Federal de Minas Gerais, Belo Horizonte 31270-901, MG, Brazil.
This cross-sectional analytical study assessed the frequency of avoided referrals of primary care to other care levels by dental teleconsulting and its association with individual and contextual variables using a multilevel approach. It appraised asynchronous dental teleconsulting sessions from the secondary database of the Monitoring and Evaluation System of the Telehealth Results during 2020, during the COVID-19 pandemic. The outcome was "whether referral to secondary care was avoided".
View Article and Find Full Text PDFBraz Oral Res
August 2022
Universidade Federal de Minas Gerais - UFMG, School of Dentistry, Department of Community and Preventive Dentistry , Belo Horizonte , MG , Brazil .
This cross-sectional study nationally evaluated asynchronous dental teleconsulting services offered by the Telehealth Brazil Networks Program, using the 2019 Telehealth Results Monitoring and Evaluation System database and considering Brazilian regional differences. The following teleconsulting variables were collected: dentist's sex and specialty, date/time of question and answer, response time; dental specialty, professional satisfaction, and patient referral. Five Brazilian regions were socioeconomically characterized according to the Human Development Index, estimated population, Gini coefficient, coverage of dental specialty centers, oral health teams in Family Health Strategy, and oral health teams in primary health care (PHC).
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