Background: Little is known about the association between problem technology use in adolescents and school-related outcomes. The purpose of this study was to determine the prevalence of problem technology use and examine its association with academic performance and school connectedness in a sample of students across Ontario, Canada.
Methods: Self-reported data from a sample of 4837 students in grades 9 to 12 (mean age: 15.9 years; 49.5% females) were cross-sectionally analyzed. Ordered logistic regression models were adjusted for important covariates.
Results: We found that 35.8% of students used their screen device for at least 5 h a day and about 18.6% had moderate-to-serious symptoms of problem technology use, a prevalence that was higher in females (22.4%) than males (14.9%). Heavy technology use was differentially associated with lower academic performance and lower levels of school connectedness in males and females. Having moderate-to-serious symptoms of problem technology use was associated with lower academic performance among males (AOR = 0.68, 95% CI = 0.53-0.87) and females (AOR = 0.66, 95% CI = 0.52-0.84). It was also associated with less school connectedness in both males (AOR = 0.65, 95% CI = 0.50-0.86) and females (AOR = 0.63, 95% CI = 0.51-0.78).
Conclusion: Excessive use and problem technology use are highly prevalent among secondary school students, and they are associated with lower academic performance and lower levels of school connectedness.
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http://dx.doi.org/10.3390/ijerph19042337 | DOI Listing |
Front Plant Sci
December 2024
College of Big Data, Yunnan Agricultural University, Kunming, China.
Introduction: The assessment of the severity of fruit disease is crucial for the optimization of fruit production. By quantifying the percentage of leaf disease, an effective approach to determining the severity of the disease is available. However, the current prediction of disease degree by machine learning methods still faces challenges, including suboptimal accuracy and limited generalizability.
View Article and Find Full Text PDFAnal Methods
December 2024
Jiaxing Key Laboratory of Molecular Recognition and Sensing, College of Biological, Chemical Sciences and Engineering, Jiaxing University, Jiaxing, Zhejiang 314001, P. R. China.
The greenish-yellow synthetic dye quinoline yellow (Qy) is widely used in the food and pharmaceutical industries. However, this dye may lead to health and environmental problems. Therefore, investigating how Qy interacts with biological macromolecules is of great interest.
View Article and Find Full Text PDFPhys Chem Chem Phys
December 2024
Department of Physical Chemistry, University of Chemistry and Technology Prague, Technická 5, CZ-166 28 Prague 6, Praha, Czech Republic.
Poor aqueous solubility of crystalline active pharmaceutical ingredients (APIs) restricts their bioavailability. Amorphous solid dispersions with biocompatible polymer excipients offer a solution to overcome this problem, potentially enabling a broader use of many drug candidate molecules. This work addresses various aspects of the design of a suitable combination of an API and a polymer to form such a binary solid dispersion.
View Article and Find Full Text PDFJ Am Soc Mass Spectrom
December 2024
Institute for Bioscience and Biotechnology Research, National Institute of Standards and Technology and the University of Maryland, College Park, Rockville, Maryland 20850, United States.
Sample carryover is a common problem in hydrogen-deuterium exchange mass spectrometry, particularly because immobilized protease columns cannot withstand the high organic solvent concentrations typically used in liquid chromatography-mass spectrometry (LC-MS) for cleaning. Conventional cleaning methods using injections of guanidine HCl still suffer from carryover and may require four blanks after each sample run to fully remove carryover. We have implemented an additional LC pump to deliver customized wash solutions to protease and enzyme columns, and the associated LC capillaries to eliminate carryover.
View Article and Find Full Text PDFJ Mass Spectrom
January 2025
Department of Chemical Engineering and Chemistry, Institute for Complex Molecular Systems, Eindhoven University of Technology, Eindhoven, The Netherlands.
One critical issue in hydrogen/deuterium exchange mass spectrometry (HDX MS) analysis is the deleterious back exchange. Herein, we report that when matrix-assisted laser desorption/ionization (MALDI) is used, the MALDI process itself can also cause significant back exchange. The back exchange occurred inside the reactive MALDI plume was investigated by depositing a fully deuterated sample prepared in DO on top of a preloaded dried layer of matrix.
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