Unlabelled: To examine sleep latency and sleep disturbance as mediators between nighttime cell phone use variables (cell phone use for unstructured leisure activities and for accessing emotionally charged media content before sleep: CPU_BeforeBed and CPU_Arousal) and psychological well-being (PWB) of college students. 521 (74% female) undergraduate students from a large public university were surveyed using a validated self-report quantitative questionnaire assessing CPU variables, sleep quality, and PWB. Pearson correlation analyses were used to compute the correlation between CPU_BeforeBed, CPU_Arousal, sleep latency, and sleep disturbance. Ordinary least-squares regressions were conducted to assess the estimates of the relationships within the models. One-way ANOVA was used to see the difference between the groups. The partial eta squared was used to determine the effect size between the groups. The PROCESS method was used to perform mediation analyses. The sample consisted of undergraduate students between 18 and 29 years old, with an average age of 20 years (SD = 3.18). The sample was diverse in terms of ethnicity (49% Caucasian, 24% Latinx, 19% Asian, 3% African American, 1% Native American, 3% identified as "other") and the number of years the participants had been attending a 2 year or 4 year higher institution (38% incoming freshman, 19% sophomore, 17% junior, 14% senior, and 13% returning senior). The correlation between CPU_BeforeBed and PWB ( = - 0.044, = 0.615), and the correlation between CPU_Arousal and PWB ( = - 0.061, = 0.228) were not statistically significant. However, the correlation between sleep latency and PWB ( = - 0.140, = 0.001), and the correlation between sleep disturbance and PWB ( = - 0.121, = 0.005) were statistically significant. The mediation effect of sleep latency on the association between CPU_BeforeBed and PWB (Effect = - 0.0325, SE = 0.0145, < 0.05), and the mediation effect of sleep disturbance on the association between CPU_Arousal and PWB (Effect = - 0.0214, SE = 0.0086, < 0.05) were statistically significant. Sleep latency and sleep disturbance act as a mediator on the association between CPU_BeforeBed and PWB, and the association between CPU_Arousal and PWB. However, CPU_BeforeBed and CPU_Arousal did not have a direct impact on their PWB. These findings may help college students in regulating CPU habits before going to bed. These findings may also help medical practitioners make informed decisions about the use of cell phones for patients with sleep-related disorders.
Supplementary Information: The online version contains supplementary material available at 10.1007/s41105-022-00388-3.
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http://dx.doi.org/10.1007/s41105-022-00388-3 | DOI Listing |
Psychol Health Med
December 2024
School of Public Health, China Medical University, Shenyang, Liaoning, China.
This study assessed the relationships among cognitive risk, phone use behaviors, and sleep quality. We used a questionnaire, which included the Pittsburgh Sleep Quality Index (PSQI), mobile phone use behaviours, and questionnaires on mobile phone use cognitive risk to gather information from 1204 college students. T-test, chi-square test, and Wilcoxon signed rank test were applied to test differences in measurement data.
View Article and Find Full Text PDFAnn Clin Transl Neurol
December 2024
Department of Neurology, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
Objectives: To explore the efficacy of ofatumumab in new onset narcolepsy type 1 following SARS-CoV-2 infection.
Methods: We present a 9-year-old girl who experienced new onset narcolepsy type 1 following SARS-CoV-2 infection. Polysomnography (PSG) followed by a daytime multiple sleep latency test (MSLT) was under taken after admission.
JMIR Ment Health
December 2024
Otsuka Pharmaceutical Development & Commercialization, Inc, 508 Carnegie Center Drive, Princeton, NJ, 08540, United States, 1 609 535 9035.
Background: Sleep-wake patterns are important behavioral biomarkers for patients with serious mental illness (SMI), providing insight into their well-being. The gold standard for monitoring sleep is polysomnography (PSG), which requires a sleep lab facility; however, advances in wearable sensor technology allow for real-world sleep-wake monitoring.
Objective: The goal of this study was to develop a PSG-validated sleep algorithm using accelerometer (ACC) and electrocardiogram (ECG) data from a wearable patch to accurately quantify sleep in a real-world setting.
Chronobiol Int
December 2024
Habilitation studio "The Little Prince", Municipal autonomous institution of additional education, "Children and Youth Center of the Frunzensky district of Saratov", Saratov, Russia.
The purpose of this study was to investigate the sleep characteristics, circadian rhythms, behavior, and postnatal development of children with and without language difficulties (LDs) and the association of these variables with melatonin-containing food (FMT) consumption. The study involved parents who anonymously and voluntarily provided their children's personal data and assessed LDs, bedtime, meal timing, behavioral problems, gross motor skill development, and FMT consumption. Multiple regression analysis was used to analyze the associations between study variables.
View Article and Find Full Text PDFSleep Med
December 2024
Department of Pulmonary Medicine, Koc University School of Medicine, Istanbul, Türkiye; Koc University Research Center for Translational Medicine (KUTTAM), Istanbul, Türkiye; Department of Molecular and Clinical Medicine, Institute of Medicine, University of Gothenburg, Sahlgrenska Academy, Gothenburg, Sweden; Department of Clinical Sciences, Respiratory Medicine and Allergology, Lund University School of Medicine, Lund, Sweden; Division of Pulmonary, Allergy, and Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA. Electronic address:
Background: Previous reports from relatively small clinical cohorts have suggested that the clinical presentation of obstructive sleep apnea (OSA) differs between men and women.
Objective: We aimed to explore sex differences in clinical and polysomnographic features of OSA in a large nationwide registry.
Methods: Participants from the ongoing Turkish Sleep Apnea Database (TURKAPNE) Study from 34 centers were included in the current analysis.
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