“Leave your smartphone out of bed”: quantitative analysis of smartphone use effect on sleep quality

Personal and Ubiquitous Computing, Journal Year: 2022, Volume and Issue: 27(2), P. 447 - 466

Published: Nov. 9, 2022

Smartphones have become an integral part of people's everyday lives. are used across all household locations, including in the bed at night. Smartphone screens and other displays emit blue light, exposure to light can affect one's sleep quality. Thus, smartphone use prior bedtime could disrupt quality sleep, but research lacks quantitative studies on how influence sleep. This study combines application data from 75 participants with collected by a wearable ring. On average, their smartphones for 322.8 s (5 min 22.8 s), IQR 43.7-456. Participants spent average 42% time using (IQR 5.87-55.5%). Our findings indicate that has significant adverse effects latency, awake time, heart rate, HR variability. We also find does not decrease when outside bed. results intense alone negatively well-being. Since users do phones same way, extending investigation different types might yield more information than general use. In conclusion, this paper presents first association between logs detailed metrics. work validates previous highlights emerging future work.

Language: Английский

---

Association between childhood trauma and Internet gaming disorder: a moderated mediation analysis with depression as a mediator and psychological resilience as a moderator

BMC Psychiatry, Journal Year: 2024, Volume and Issue: 24(1)

Published: June 4, 2024

Abstract Background The effect of childhood trauma on Internet gaming disorder remains unclear. In this study, we examined association in Chinese students and explored the possible associated roles psychological resilience depression. Methods total, 8,579 from Hunan Province, China, provided information regarding their sociodemographic factors, history trauma, any symptoms depression, resilience, characteristics for cross-sectional study. impact disorder, as well extent to which it was mediated by depression moderated evaluated. Results influence partially ( B = 0.07, 95% CI [0.04, 0.05], p < 0.001), with acting a mitigating factor -0.002, [13.74, 21.72], 0.001). Psychological also between − 0.003, [22.17, 28.10], Our mediation model elucidated psychosocial mechanisms, revealing underlying link disorder. It demonstrated partial mediating role modulating among students. Conclusions Education interventions, along effective social support, should be enhance students’ prevent

Language: Английский

---

Rejection Sensitivity and Problematic Internet Use Among Medical Students: A Moderated Mediation Model Involving Loneliness and Self-Control

Behavioral Sciences, Journal Year: 2025, Volume and Issue: 15(5), P. 589 - 589

Published: April 27, 2025

The internet has evolved into an integral facet of the life and educational experience college students. However, driving force behind problematic use in medical students remains largely unexplored. Based on cognitive–behavioral model affect regulation vulnerability, present study seeks to investigate underlying mechanism association between rejection sensitivity among A total 435 undergraduate were investigated using Tendency Expect Rejection Scale, Loneliness Self-control Problematic Internet Test. results revealed that could positively predict loneliness use. Mediation analyses served as a mediator link Additionally, self-control moderated second stage indirect effects relationship These findings theoretically deepen our understanding psychological pathways boundary conditions linking students’ their use, while also offering valuable practical implications for decreasing

Language: Английский

---

Internet Addiction among Secondary School Adolescents: A Mixed Methods Study

Journal of Nepal Medical Association, Journal Year: 2019, Volume and Issue: 57(219)

Published: Oct. 31, 2019

Introduction: Excessive use of internet can lead to "Internet Addiction". A sharp rise in the number users among adolescents Bhutan have been observed lately which could potential side-effects on their health. The aim this study was find prevalence addiction and psychological co-morbidities secondary school-going adolescents. Methods: This is a descriptive cross-sectional quan-qual sequential mixed method design with quantitative component qualitative component. conducted between 1st May 30st November 2017 twelve schools across after taking ethical clearance from Research Ethics Board Health Bhutan. Data were doubleentered EpiData Entry, validated imported into STATA version 12.0 for analysis. Point estimate at 95% CI calculated along frequency proportion binary data. Results: Among 721 selected schools, 248 (34.440%) , Confidence Interval (31-38%). Out total 586 (81%) preferred smartphone 388 (54%) actually using it. Depression anxietywere associated seen addiction. Internet high those home, access, social networking night time Boredom, stress/anxiety peer pressure triggers use. also affected academic performance, interactions sleep. Conclusions: Prevalence comparing previous standard data requires immediate attention.

Language: Английский

---

Prevalence of Internet Addiction, Poor Sleep Quality, and Depressive Symptoms Among Medical Students: A Cross-Sectional Study

Osong Public Health and Research Perspectives, Journal Year: 2020, Volume and Issue: 11(5), P. 303 - 308

Published: Oct. 22, 2020

This objective of the study was to report prevalence internet addiction, sleep quality, depression, anxiety, and stress in undergraduate medical students.A cross-sectional, questionnaire-based conducted among 221 students at Government Doon Medical College, Dehradun, Uttarakhand. Data pertaining depressive symptoms were also collected using validated reliable questionnaires (Young Internet Addiction Test, Pittsburgh Sleep Quality Index, Depression Anxiety Stress Scale 21).The poor severe depression 33.9%, 7.3% 3.6%, respectively. The place residence significantly associated (p = 0.006) with addiction. mean Young Test score higher residing hostels compared staying families. age. age group 17-20 21-24 group. independent predictors quality.Quality is key for good health. Based on limited samples, this showed that quality depression. Hence, continuous counselling suggested supporting managing their

Language: Английский

---