Psychological processes linking problematic smartphone use to sleep disturbance in young adults

Changes in delayed sleep patterns and related clinical factors in a social restriction environment

We aimed to investigate which factors, including socioenvironmental factors and emotional regulation, were associated with pronounced delayed sleep patterns during the COVID-19 social restriction. We evaluated 744 adults aged 20-65 y using a web-based survey with a self-reported questionnaire in May 2022. Based on the survey, we estimated the mid-sleep time on free days corrected for oversleeping on free days (MSFsc) and social jet lag (SJL). We determined delayed sleep patterns using ΔMSFsc, which was defined as the difference between MSFsc during the pre- and mid-pandemic. The high-risk group for delayed sleep patterns (H-DSP) group was younger with evening person and had more severe insomnia, depression with rumination, and smartphone addiction (p < 0.05). Logistic regression revealed that stronger tendencies to express emotions and rumination were independent risk factors associated with a pronounced pattern of delayed sleep during the pandemic. In the H-DPS group, SJL increased even more during the pandemic. In socially restricted environments, emotion regulation significantly affects the severity of delayed sleep patterns, and people with H-DSP also had more disrupted circadian rhythms. Therefore, active education of sleep hygiene and emotional support with psychological interventions are needed in socially restricted environments.

The Impact of Problematic Smartphone Use on Sleep Quality Among Chinese Young Adults: Investigating Anxiety and Depression as Mediators in a Three-Wave Longitudinal Study

Background

Sleep disorders are a significant health issue that urgently needs to be addressed among undergraduate students, and one of the potential underlying problems could be problematic smartphone use (PSU). This study aimed to clarify the relationship between PSU and poor sleep quality by investigating the independent and serial mediating roles of anxiety and depressive symptoms in a population of university students in Tibet, China.

Methods

A total of 2993 Tibetan college students completed three waves of data surveys, with all participants completing questionnaires on PSU, anxiety, depressive symptoms, and sleep quality (Time 1 (T1) -Time 3 (T3)). Bootstrapped mediation analysis was used to explore the mediating role of anxiety and depressive symptoms in the longitudinal relationship between PSU and sleep quality.

Results

Both direct and indirect effects of PSU on poor sleep quality were found. PSU (T1) can had not only a direct negative influence on poor sleep quality (T3) among young adults (direct effect = 0.021, 95% CI = 0.010-0.033) but also an indirect negative impact via three pathways: the independent mediating effect of anxiety symptoms (T2) (indirect effect 1 = 0.003, 95% CI = 0.001-0.006), the independent mediating effect of depressive symptoms (T2) (indirect effect 2 = 0.004, 95% CI = 0.002-0.006), and the serial mediating effects of anxiety (T2) and depressive symptoms (T2) (indirect effect 3 = 0.008, 95% CI=0.005-0.011).

Conclusion

These findings highlight the role of anxiety and depression symptoms as joint mediating factors in the relationship between PSU and sleep disturbances. Interventions focused on improving sleep that incorporate behavioural measures could benefit from treatment approaches targeting mental disorders.

Smartphone Distraction: Italian Validation of the Smartphone Distraction Scale (SDS)

This work aimed to validate the use of the Smartphone Distraction Scale (SDS) in Italy. The SDS was devised to assess distraction related to smartphone use in adult populations. A cross-sectional study was conducted among n = 609 adults (females = 76.4%; mean age = 30.26; SD age = 9.90). An assessment of the factorial structure of the Italian version was carried out using exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). The four factors identified by Throuvala and colleagues were confirmed (i.e., attention impulsiveness, online vigilance, multitasking and emotion regulation). Reliability was assessed using Cronbach's alpha coefficient (0.703-0.889). The scale's scores showed significant linear correlations with validated instruments, including the Mobile Phone Problematic Use Scale (MPPUS)and the Cognitive Failures Questionnaire (CFQ). A multivariate analysis of variance showed significant differences in the means among participants belonging to different age groups (born before 1995 vs. born after 1996). In summary, the good psychometric properties observed led us to assume that this instrument can be applied and used in Italian studies to assess the cognitive dimension of distraction related to the use of smartphones.