The relationship between mobile phone addiction and time management disposition among Chinese college students：A cross-lagged panel model. Heliyon Previous research has identified a negative association between mobile phone addiction and time management disposition among college students; however, the direction of this relationship remains divergent. This study utilized a cross-lagged panel model to elucidate the directionality of the relationship between mobile phone addiction and time management disposition. A total of 466 college students completed two measures at seven-month intervals. The findings revealed a prevalence of mobile phone addiction at 10.94 % and 13.73 % in the two surveys. Notably, both mobile phone addiction and time management disposition demonstrated stability over time. Furthermore, a discernible negative bidirectional relationship was observed between the two. The present findings underscore the importance of timely intervention for college students facing challenges in mobile phone usage and time management. 10.1016/j.heliyon.2024.e25060

Mobile usage among degree college students in industrial township of western Maharashtra - "A descriptive study". Industrial psychiatry journal Background:With the advent of smartphones, there is an exponential increase in mobile usage and addiction. The statistics pointing toward mobile dependence in adolescents are of paramount importance to assess the prevalence in them and suggest measures accordingly. Aim:To observe the usage and dependence among the degree college students in an industrial township. Materials and Methods:A validated and structured questionnaire was distributed among the students at a women's degree college in western Maharashtra and responses were collected after obtaining consent. Along with sociodemographic details, qualitative and quantitative information regarding mobile usage were collected. Data were cleaned, coded, and analyzed after ensuring the confidentiality of their information using SPSS v26.0. Results:The mean age of the participants was 18.9+/-1.8 years. The mean time spent on mobile was 2.4+/-0.4 hours per day. Mobile dependency was found in 48% of participants. The mean total score was 92. The primary purpose for using the internet was to browse (41%) and social media 36%. The main benefit of using the internet was searching for information urgently (62.5%). A major limitation of using was felt as the internet to be very slow 61 (42.3%). Conclusion:There is a high prevalence of smartphone dependence in college students. 10.4103/ipj.ipj_229_23

Association of mobile phone usage time with incidence of diabetic retinopathy in type 2 diabetes: a prospective cohort study. Endocrine journal We prospectively analyzed the association between mobile phone usage time and the incidence of diabetic retinopathy (DR) in type 2 diabetes (T2D) among participants.We included a total of 4,371 patients with T2D among the participants. Mobile phone usage time was quantified at baseline by summing up the hours spent on mobile phone use. The types of mobile phone usage time in our study include game time, TikTok time, WeChat time, watching movies or reading time, and online shopping time. We categorized patients into four groups according to different mobile phone usage time: ≤1.5 h/day (n = 1,101), 1.6-3.5 h/day (n = 1,098), 3.6-7.5 h/day (n = 1,095), and >7.6 h/day (n = 1,077). Fundus photography was performed every year from January 2012 to January 2020. During a follow-up of 8 years, 1,119 were affected by DR, resulting in an overall incidence of 25.6%. The incidences of mild nonproliferative DR (NPDR), moderate NPDR, severe NPDR, and proliferative DR (PDR) were 10.1%, 5.1%, 5.1%, and 5.2%, respectively. In comparisons with participants in the lowest category (≤1.5 h/day), the hazard ratios (HRs) of DR were 1.19 (95% confidence interval [CI] 1.07, 1.31, p = 0.040) for 1.6-3.5 h/day, 1.60 (95% CI 1.40, 1.81, p < 0.001) for 3.6-7.5 h/day, and 1.85 (95% CI 1.61, 2.09, p < 0.001) for >7.6 h/day, respectively. Our results provide the general population with a feasible and practical alternative for the reduction of mobile phone use behavior time and new measures to prevent the occurrence of DR. 10.1507/endocrj.EJ22-0431

Bedtime mobile phone use and sleep in adults. Exelmans Liese,Van den Bulck Jan Social science & medicine (1982) BACKGROUND:The few studies that have investigated the relationship between mobile phone use and sleep have mainly been conducted among children and adolescents. In adults, very little is known about mobile phone usage in bed our after lights out. This cross-sectional study set out to examine the association between bedtime mobile phone use and sleep among adults. METHODS:A sample of 844 Flemish adults (18-94 years old) participated in a survey about electronic media use and sleep habits. Self-reported sleep quality, daytime fatigue and insomnia were measured using the Pittsburgh Sleep Quality Index (PSQI), the Fatigue Assessment Scale (FAS) and the Bergen Insomnia Scale (BIS), respectively. Data were analyzed using hierarchical and multinomial regression analyses. RESULTS:Half of the respondents owned a smartphone, and six out of ten took their mobile phone with them to the bedroom. Sending/receiving text messages and/or phone calls after lights out significantly predicted respondents' scores on the PSQI, particularly longer sleep latency, worse sleep efficiency, more sleep disturbance and more daytime dysfunction. Bedtime mobile phone use predicted respondents' later self-reported rise time, higher insomnia score and increased fatigue. Age significantly moderated the relationship between bedtime mobile phone use and fatigue, rise time, and sleep duration. An increase in bedtime mobile phone use was associated with more fatigue and later rise times among younger respondents (≤ 41.5 years old and ≤ 40.8 years old respectively); but it was related to an earlier rise time and shorter sleep duration among older respondents (≥ 60.15 years old and ≥ 66.4 years old respectively). CONCLUSION:Findings suggest that bedtime mobile phone use is negatively related to sleep outcomes in adults, too. It warrants continued scholarly attention as the functionalities of mobile phones evolve rapidly and exponentially. 10.1016/j.socscimed.2015.11.037