Reciprocal Relationships between Sleep Problems and Problematic Smartphone Use in Taiwan: Cross-Lagged Panel Study

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.

Associations of sleep problems with non-physical bullying perpetration and victimization among adolescents: A cross-lagged panel study

OBJECTIVE

The current study attempted to explore the possible temporal direction of the relationship between sleep problems and non-physical bullying perpetration as well as non-physical bullying victimization among adolescents.

DESIGN

The study used a longitudinal panel survey design with a 6-month interval.

SETTING

A cluster random sampling method was conducted to recruit students from junior high schools in Northern Taiwan.

PARTICIPANTS

Eight hundred twenty-two students (46.6% were boys) completed a survey at 2 waves.

MEASUREMENT

Adolescents reported their sleep problems, non-physical bullying perpetration, and non-physical bullying victimization in both waves.

RESULTS

The results from cross-lagged panel models revealed that sleep problems at time 1 significantly predicted non-physical bullying victimization at time 2, but not in the opposite direction. In addition, non-physical bullying perpetration at time 1 significantly predicted sleep problems at time 2, but not in the opposite direction. No significant differences emerged between male and female adolescents in the cross-lagged model of sleep problems with non-physical bullying perpetration and non-physical bullying victimization.

CONCLUSION

This study advances the literature by revealing that sleep problems may be a consequence, not a precursor, of adolescent non-physical bullying perpetration and a precursor, not a consequence, of non-physical bullying victimization. Intervention programs aimed at preventing adolescents from being non-physically bullied may consider improving their sleep quality. Reducing adolescents' non-physical bullying perpetration may also improve sleep quality along the way.

An updated of meta-analysis on the relationship between mobile phone addiction and sleep disorder

BACKGROUND

To conduct a meta-analysis to quantitatively assess the association between mobile phone addiction (MPA) and sleep disorder (SD) by reviewing current evidence from observational studies.

METHODS

The meta-analysis was conducted by searching Pubmed, Embase, Scopus, and Web of science using a retrieval strategy related to MPA and SD. Pooled Odds ratios and Pearson's correlation coefficients were calculated by R software using a random effects model.

RESULTS

29 studies including a total of 20041 participants were identified. We found that MPA was significantly associated with an increased risk of adolescents having SD (OR = 2.25, 95%CI= 1.72-2.94). Additionally, the findings also demonstrated that weak-to-moderate positive correlations were found between MPA and SD (summary r = 0.30, 95%CI= 0.25-0.34). The meta-regression analysis and subgroup analysis suggested that the geographic location and the measurement of MPA might be the sources of heterogeneity, and the robustness of the findings was confirmed by sensitivity analysis.

LIMITATIONS

The information collected was self-reported, and the recall bias was inevitable.

CONCLUSIONS

This study updated the findings of the association between MPA and SD from the previous reviews and was also the first meta-analysis to assess the association between MPA and SD using Odds Radios and correlation coefficients concurrently. The result of this study re-emphasized that paying more attention to the public health concerns of MPA and SD is needed in the future, whether implementation more relevant researches or developing targeted policies.