Background: The elderly population is increasing globally. Thus, researches focus on the causes and treatment of insomnia, a noteworthy ageing problem. This study aims to investigate the relationship between chronotype and insomnia and whether sleep hygiene mediates this relationship in older adults with depression (OAD). Methods: We assessed subjective insomnia severity, sleep hygiene, chronotype, depressive symptoms, and anxiety symptoms of 82 OAD and 70 healthy controls using the Sleep Hygiene Index (SHI), Insomnia Severity Index (ISI), Morningness-Eveningness Questionnaire (MEQ), Beck Depression Inventory (BDI), and Beck Anxiety Inventory (BAI). Results: The mediation effect of SHI and ISI scores were evaluated in the relationship between MEQ and BDI total scores in OAD. The results showed that MEQ performed its effect on BDI through ISI with full mediation (effect = −0.16, SE: 0.07, 95% CI: −0.3230 to −0.0336). The mediation effect of SHI and BDI scores were evaluated in the relationship between MEQ and ISI total scores in OAD. In this model, it was found that MEQ significantly performed its effect on ISI through SHI and BDI. BDI and SHI predicted the ISI variable as partial mediators (respectively, effect = −0.05, SE: 0.03, 95% CI: −0.1073 to −0.0100; effect = −0.06, SE: 0.02, 95% CI: −0.1051 to −0.0129). Conclusions: Sleep hygiene practices could be essential for the natural functioning of the biological clock and the interrelation of depression and insomnia. Longitudinal follow-up studies of structured sleep hygiene approaches are needed in terms of cost-effectiveness, in OAD.
OBJECTIVE: While Internet use makes life easier in many areas, the negative consequences associated with excessive and frequent Internet use increases. Meanwhile, research on the negative psychosocial consequences of frequent and uncontrolled use of social media, which constitutes most of the time spent on the Internet, also draws attention. The aim of this study is to examine the relationship between Internet Addiction (IA), Problematic Social Media Use (PSMU), depression, anxiety, and sociodemographic characteristics in a cross-sectional student population.MATERIAL AND METHODS: A total of 196 Medical Faculty students (62.2% female, mean age 21.33 ± 1.92 y) who completed the Social Media Disorder Scale (SMDS), the Internet Addiction Test (IAT), and the Hospital Anxiety and Depression Scale (HAD) participated in our study.RESULTS: The results showed that %26.5 participants had moderate IA and PSMU scores (OR: 1.276, %95 CI: 1.187-1.372) and lack of regular sportive activity (OR: 3.003, %95 CI: 1.107-8.144) were risk factors for IA. Multiple linear regression analysis showed that IA was predicted independently by PSMU scores (%49 variances) and anxiety (%6 variances).CONCLUSIONS: The results of our study showed that excessive use of social media and anxiety were significantly associated with IA in young adults. In addition to the contribution of regular sports habits to physical health, better clarification of its relationship with important psychiatric problems such as anxiety and addiction may contribute to addiction prevention programs.
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