The Relationship of Sleep Quality and PTSD to Anxious Reactivity from Idiographic Traumatic Event Script-Driven Imagery

2012 ◽  
Vol 25 (5) ◽  
pp. 503-510 ◽  
Author(s):  
Kimberly A. Babson ◽  
Christal L. Badour ◽  
Matthew T. Feldner ◽  
Liviu Bunaciu
2019 ◽  
Vol 13 (2) ◽  
pp. 121-129
Author(s):  
Reza Karimi ◽  
Raziyeh Abedini ◽  
Nasrin Arshadi ◽  
◽  
◽  
...  

2021 ◽  
Vol 12 ◽  
Author(s):  
Chi Zhang ◽  
Ping Zeng ◽  
Joshua Tan ◽  
Siwei Sun ◽  
Minghao Zhao ◽  
...  

Background: The COVID-19 pandemic brought about great transformation to medical education mode. Although mobile communication devices played a crucial role in online learning among quarantined university students, the potential smartphone addition problems, negative health behaviors, and psychological symptoms need considerable attention. This study examined the relationship of problematic smartphone use (PSU), sleep quality, and daytime fatigue among medical students.Methods: A web-based survey was conducted in six polyclinic hospitals in Beijing between February and May 2020. 1016 participants (26.01 ± 2.46 years, 65.16% female) completed self-report measurements including Short Version Smartphone Addiction Scale (SAS-SV), Athens Insomnia Scale (AIS), and Subjective Fatigue Scale (FS). Spearman correlation coefficients and multiple regression models were used to analyze the association among PSU, sleep quality, and daytime fatigue. We used structural equation modeling to test the mediating effect of sleep quality between PSU and daytime fatigue.Results: 49.70% of the participants had PSU. Significant positive correlations were found among SAS-SV, AIS, and FS scores (r = 0.35–0.61, PS < 0.001). Subjects with PSU were more likely to report sleep disturbance (β = 1.07, P < 0.001, OR = 2.91, 95%CI = 2.17–3.91), physical fatigue (β = 1.16, P < 0.001, OR = 3.18, 95%CI = 2.45–4.15), and mental fatigue (β = 0.88, P < 0.001, OR = 2.42, 95%CI = 1.86–3.14). The indirect effect of PSU on physical fatigue and mental fatigue mediated by sleep quality accounted for 50.03 and 45.43% of the total effect, respectively.Conclusions: PSU was significantly associated with sleep disturbance and fatigue among medical students during the COVID-19 pandemic. Sleep quality mediated the relationship between PSU and daytime fatigue. Our results provide valuable information for maintaining medical students' health status and constructing online education structures.


2020 ◽  
Vol 9 (2) ◽  
pp. 1680-1686
Author(s):  
Eka Adithia Pratiwi ◽  
Lestari Ananda ◽  
Baik Heni Rispawati ◽  
Rias Pratiwi Safitri

Around 1.5 billion children have been dismissed from school due to the outbreak of Covid-19,as a result of which many of them are spending more time using electronic devices during the lockdown.According to data from the American Children's Academy, 75% of 9-10 year olds experience sleep deprivation due to unsupervised use of technology.The purpose of this study was to determine the relationship between gadget use and sleep quality in school age children.This study used a correlation design with a cross sectional approach.The data collection tool used a questionnaire. Data analysis used the Spearman-rho test.The results of this study found that there was no relationship between the use of gadgets and the quality of sleep during the Covid-19 pandemic with a P-Value of 0.653> 0.05 (insignificant). Recommend that parents can increase their activities and activities with children,such as involving children in home activities and exercising together to distract children from gadgets.


2017 ◽  
Vol 28 (3) ◽  
pp. 356-373 ◽  
Author(s):  
Masomeh Norozi Firoz ◽  
Vida Shafipour ◽  
Hedayat Jafari ◽  
Seyed Hamzeh Hosseini ◽  
Jamshid Yazdani - Charati

This descriptive correlational study was aimed at determining the relationship of hemodialysis shift with sleep quality and depression in 310 hemodialysis patients. Demographic and Clinical Questionnaires, the Pittsburgh sleep quality index, and Beck’s Depression Inventory were used to ascertain the aforementioned relationship. Among the patients, 59.6% reported poor sleep quality and 44.8% reported experiencing depression. Results show that these conditions were significantly related to many factors. Although dialysis shift was not significantly related to sleep quality and depression, sleep quality was found significantly associated with age, female gender, illiteracy, unemployment, residence in rural areas, diabetes, addiction to sedatives, and phosphorus levels. A significant relationship was also found between depression and phosphorus levels. Logistic regression predicted age, gender, illiteracy, unemployment, residence in rural areas, and addiction to sedatives as factors for poor sleep quality. A body mass index (BMI) above 30, decreased urea, and increased phosphorus were predicted as factors for increased depression.


2021 ◽  
pp. 1-16
Author(s):  
Elahe Zamani ◽  
Mehdi Akbari ◽  
Shahram Mohammadkhani ◽  
John H. Riskind ◽  
Christopher L. Drake ◽  
...  

2019 ◽  
pp. 135910531989165 ◽  
Author(s):  
Rachel S Bergmans ◽  
Kara Zivin ◽  
Briana Mezuk

In older adults, we determined (1) the association of perceived sleep quality with stress-coping behaviors (drinking alcohol, smoking tobacco, medication/drug use, overeating, prayer, exercise, social support, and treatment from a health professional) and (2) whether coping behavior mediated the relationship of perceived sleep quality with depression. Data came from the US Health and Retirement Study 2008–2010 ( n = 1174). Using logistic regression, poor perceived sleep quality was associated with medication/drug use (odds ratio = 2.9; 95% confidence interval = 1.4–6.0) and overeating (odds ratio = 1.6; 95% confidence interval = 1.1–2.5). However, using structural equation modeling, coping behavior did not mediate the relationship of perceived sleep quality with depression symptomology ( p = 0.14).


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