The impact of smartphone dependence on college students’ sleep quality: the chain-mediated role of negative emotions and health-promoting behaviors DOI Creative Commons
Yunfei Tao,

Zhaozhi Liu,

Huang Li

et al.

Frontiers in Public Health, Journal Year: 2024, Volume and Issue: 12

Published: Sept. 19, 2024

Objective Sleep disturbances among college students have become a significant issue affecting their daily lives. This study aims to explore the relationship between smartphone dependence and sleep quality examine mediating roles of negative emotions health-promoting behaviors. Methods A total 23,652 were included in study, 21,314 valid questionnaires collected. The survey assessed demographic factors, dependence, quality, emotions, chain mediation analysis was conducted relationships these factors. Results Smartphone significantly positively correlated with ( r = 0.272, p < 0.001) 0.414, 0.001), negatively behaviors −0.178, 0.001). 0.472, −0.218, 0.001).Smartphone positive predictor quality. Moreover, influenced effect, direct indirect effect values 0.304, 0.122, 0.170, respectively. Conclusion Different factors (such as gender place residence) can lead variations different variables. impact on students, while impact. directly affects also influence it indirectly through effects behaviors, both individually chain-like manner.

Language: Английский

Exploring smartphone utilization patterns, addiction, and associated factors in school-going adolescents: A mixed-method study DOI Creative Commons

Hemangi Ladani,

M Yogesh,

Nidhi S. Trivedi

et al.

Journal of Family Medicine and Primary Care, Journal Year: 2025, Volume and Issue: 14(1), P. 334 - 340

Published: Jan. 1, 2025

A BSTRACT Background: Smartphone use and addiction among adolescents is an emerging public health concern. This study aimed to assess smartphone use, addiction, patterns of associated factors adolescents. Methods: An institutional-based mixed-method was conducted 560 aged 15–19 years. Data were collected on assessed by a Short Version the Addiction Scale (SAS-SV), correlations with demographic factors, physical health, psychological symptoms. Statistical analysis included percentages, logistic regression, tests significance. P value < 0.05 considered significant. Results: prevalence 89.8% [95% CI (87.09%–92.49%)], 64% (62.66%–72.34%)] users. Factors are statistically significant based adjusted odds ratios (AOR), which urban residence [2.5 (1.8–3.8)], handsfree kit [2.04 (1.56–2.95)], illiterate father’s education [2.7 (1.9–7.8)], [2.38 (1.98–5.7)], primary/secondary educated [2.15 (1.06–4.3)] mother’s education, [3.2 (1.7–4.3)]. Addicted users showed higher for gaming, videos, social media ( 0.05). No or differences found between addicted non-addicted groups. Conclusions: (SA) highly prevalent Use patterns, such as gaming media, well perceptions harm, implicated in risk. Tailored interventions required address this problem

Language: Английский

Citations

0
The correlation between mindfulness and problematic smartphone use: A meta-analysis DOI

Yangshu Ru,

Hassan C Norlizah,

Nur Aimi Nasuha Burhanuddin

et al.

Addictive Behaviors, Journal Year: 2025, Volume and Issue: 164, P. 108272 - 108272

Published: Feb. 2, 2025

Language: Английский

Citations

0
Parent Attachment and Video Gaming Addiction: The Serial Mediation Role of Social Support and Maladaptive Daydreaming DOI Creative Commons
Usman Ahmad Zaheer, Sofia Mastrokoukou, Claudio Longobardi

et al.

European Journal of Investigation in Health Psychology and Education, Journal Year: 2025, Volume and Issue: 15(4), P. 60 - 60

Published: April 13, 2025

Previous research has demonstrated both direct and indirect relationships between parental attachment gaming addiction in adolescents. This study aimed to investigate the role of adolescent addiction, specifically examining how maladaptive daydreaming perceived social support function as mediators this relationship. A convenience sample 898 Italian adolescents (550 female, Mage = 14.89 years, SD 1.71) completed a questionnaire that included Inventory Parent Peers Attachment, Maladaptive Daydreaming Scale, Game Addiction demographic survey. Correlation analyses confirmed negative relationship addiction. Mediation also showed serve significant serial These results emphasize importance factors understanding influences Adolescents exhibiting is caused by low may benefit from psychological interventions targeting adaptive regulation strategies. Strengthening sense security self-confidence through such help reduce excessive behaviors.

Language: Английский

Citations

0
Internet gaming disorder and cognitive failures in daily life among university students: the mediating role of sleep quality and the moderating role of mindfulness DOI

Cuijing Li,

Quanlei Yu, Yao Wu

et al.

Current Psychology, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 10, 2024

Language: Английский

Citations

3
The impact of smartphone dependence on college students’ sleep quality: the chain-mediated role of negative emotions and health-promoting behaviors DOI Creative Commons
Yunfei Tao,

Zhaozhi Liu,

Huang Li

et al.

Frontiers in Public Health, Journal Year: 2024, Volume and Issue: 12

Published: Sept. 19, 2024

Objective Sleep disturbances among college students have become a significant issue affecting their daily lives. This study aims to explore the relationship between smartphone dependence and sleep quality examine mediating roles of negative emotions health-promoting behaviors. Methods A total 23,652 were included in study, 21,314 valid questionnaires collected. The survey assessed demographic factors, dependence, quality, emotions, chain mediation analysis was conducted relationships these factors. Results Smartphone significantly positively correlated with ( r = 0.272, p &lt; 0.001) 0.414, 0.001), negatively behaviors −0.178, 0.001). 0.472, −0.218, 0.001).Smartphone positive predictor quality. Moreover, influenced effect, direct indirect effect values 0.304, 0.122, 0.170, respectively. Conclusion Different factors (such as gender place residence) can lead variations different variables. impact on students, while impact. directly affects also influence it indirectly through effects behaviors, both individually chain-like manner.

Language: Английский

Citations

1