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Objective: The study examined how mobile phone dependency (MPD) is linked to adolescents' engagement in structured exercise and whether this association operates through three theoretically derived mechanisms-self-control (SC), time management (TM), and health awareness (HA). A complementary configurational analysis explored alternative combinations of these factors that lead to high or low exercise participation.
Methods: A cross-sectional survey was administered to 1,404 Chinese students in Grades 5-9 (49.6% girls; 51% rural). Standardized scales assessed MPD, SC, TM, HA, and adolescent exercise participation (AEP). Covariance-based structural equation modeling (CB-SEM) estimated direct and mediated effects; bias-corrected bootstrap confidence intervals tested indirect paths. Fuzzy-set qualitative comparative analysis (fsQCA) identified sufficient configurations of conditions for high and non-high AEP and assessed robustness across calibration thresholds.
Results: The SEM model exhibited excellent fit ( /df = 2.723, CFI = 0.979, TLI = 0.975, SRMR = 0.036, RMSEA = 0.035, 90% CI [0.031, 0.039]). MPD showed a significant total effect on AEP ( = -0.61, < 0.001), of which 83.5% was transmitted through the three hypothesized mediators. Among single mediators, HA accounted for the largest share of the indirect effect ( = -0.15), followed by SC ( = -0.12) and TM ( = -0.03). Three two-step and one three-step chained paths were also significant ( < 0.01). FsQCA revealed three sufficient configurations for high AEP: (a) low MPD + high SC + high HA, (b) low MPD + high TM + high HA, and (c) high SC + high TM + high HA irrespective of MPD. One configuration-high MPD combined with low SC, TM, and HA-was sufficient for non-high AEP. All solutions were robust to parameter changes.
Conclusion: Mobile phone dependency undermines adolescent exercise primarily by eroding self-regulatory capacity, disrupting time structure, and diminishing health motivation. Nonetheless, strong personal resources can offset the risks of heavy phone use. Interventions should therefore adopt a dual focus: curbing excessive smartphone use while simultaneously enhancing self-control, time-management skills, and health awareness to sustain youths' exercise involvement.
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http://dx.doi.org/10.3389/fpsyg.2025.1666004 | DOI Listing |
Anal Chim Acta
November 2025
Guangxi Key Laboratory of Natural Polymer Chemistry and Physics, Key Laboratory of Nanobiosensor Analysis, College of Chemistry and Materials, Nanning Normal University, Nanning, 530001, PR China. Electronic address:
Background: Hexavalent chromium ions (Cr(VI)), a notorious toxic heavy metal pollutant with proven carcinogenicity, endangers human health and the environment. Meanwhile, l-ascorbic acid (L-AA), a vital biological antioxidant, has abnormal levels closely tied to various diseases. Developing efficient synchronous detection methods for these two key analytes is of great value in clinical and environmental monitoring.
View Article and Find Full Text PDFJ Med Internet Res
September 2025
The Hong Kong Jockey Club Centre for Suicide Research and Prevention, University of Hong Kong, 5 Sassoon Rd, Sandy Bay, Hong Kong, 999077, China (Hong Kong), 852 2831 5232.
Background: Online text-based counseling services are becoming increasingly popular. However, their text-based nature and anonymity pose challenges in tracking and understanding shifts in help-seekers' emotional experience within a session. These characteristics make it difficult for service providers to tailor interventions to individual needs, potentially diminishing service effectiveness and user satisfaction.
View Article and Find Full Text PDFJMIR Nurs
September 2025
Université de Montréal, Montreal, QC, Canada.
Background: The integration of artificial intelligence (AI) into health care is set to revolutionize the sector, offering opportunities to enhance diagnostic accuracy, personalize treatment, and improve patient outcomes. However, little is known about nurses' readiness to integrate AI into their professional practice.
Objective: This study aimed to identify the key factors influencing nurses' intention to integrate AI into their practice.
Sleep Breath
September 2025
Université Paris Cité, NeuroDiderot, Inserm U1141, Paris, F-75019, France.
Purpose: obstructive sleep apnea is underdiagnosed due to limited access to polysomnography (PSG). We aimed to assess the performances of Apneal, an application recording sound and movements thanks to a smartphone's microphone, accelerometer and gyroscope, to estimate patients' apnea-hypopnea index (AHI).
Methods: monocentric proof-of-concept study with a first manual scoring step, then automatic detection of respiratory events from recorded signals using a sequential deep-learning model (version 0.
Zhonghua Nan Ke Xue
August 2025
Department of Urology, Third Medical Center, PLA General Hospital, Beijing 100039, China.
Objective: To investigate the feasibility of varicocele ligation with mobile phone microscope.
Methods: The high-performance mobile phone and mobile phone stand were combined to act as a mobile phone microscope. And the varicocele ligation was performed under the mobile phone microscope.