scholarly journals Relationship of Problematic Smartphone Use, Sleep Quality, and Daytime Fatigue Among Quarantined Medical Students During the COVID-19 Pandemic

2021 ◽  
Vol 12 ◽  
Author(s):  
Chi Zhang ◽  
Ping Zeng ◽  
Joshua Tan ◽  
Siwei Sun ◽  
Minghao Zhao ◽  
...  
Keyword(s):  
Medical Students ◽  
Sleep Quality ◽  
Sleep Disturbance ◽  
Mental Fatigue ◽  
Mediating Effect ◽  
Physical Fatigue ◽  
Problematic Smartphone Use ◽  
Smartphone Use ◽  
Relationship Of ◽  
The Relationship

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.

scholarly journals Problematic Smartphone Use and Aggressive Behavior Among University Students: The Mediating Role of Sleep Disturbance

2021 ◽  
Vol 11 (3) ◽  
pp. 157-164
Author(s):  
Salman Zarei ◽  
Keyword(s):  
University Students ◽  
Sleep Quality ◽  
Sleep Disturbance ◽  
Aggressive Behavior ◽  
Smartphone Addiction ◽  
Problematic Smartphone Use ◽  
Mediating Role ◽  
Smartphone Use ◽  
The Relationship

Background: Despite several benefits, research has found that problematic smartphone use is positively associated with behavioral problems. However, the internal mechanisms underlying this relationship need further investigation. So, the current study aimed to investigate the mediating role of sleep disturbance in the relationship between problematic smartphone use and aggression. Methods: The research design was descriptive-correlational. Also, the study population included the male university students of the Islamic Azad University of South Tehran Branch in the academic year of 2019-2020. Using the convenience sampling method, a total number of 213 participants from two faculties (Faculty of Human Sciences and Faculty of Law and Political Sciences) were selected and tested by Buss-Perry Aggression Questionnaire, Smartphone Addiction Scale-Short Version, and Pittsburgh Sleep Quality Index. Then, the Pearson correlation and path analysis were conducted to analyze the data. Results: The results revealed the significant and direct effects of problematic smartphone use on aggression (β=0.12, P<0.05), sleep quality on aggression (β=0.37, P<0.001), and problematic smartphone use on sleep disturbance (β=0.42, P<0.001). Also, sleep quality significantly mediated in the relationship between problematic smartphone use and aggression (β=0.15, P<0.01). Conclusion: According to the present findings, problematic smartphone use and sleep disturbance are two important factors affecting aggressive behavior among university students. These findings highlight the critical role of early intervention for aggression with a focus on those with problematic smartphone use and more specifically those with sleep disturbance.

scholarly journals Effects of Coronavirus-19 Induced Loneliness on Mental Health: Sleep Quality and Intolerance for Uncertainty as Mediators

2021 ◽  
Vol 12 ◽  
Author(s):  
Simeng Gu ◽  
Zhengming He ◽  
Lianwang Sun ◽  
Yao Jiang ◽  
Minghong Xu ◽  
...  
Keyword(s):  
Mental Health ◽  
Confidence Interval ◽  
Sleep Quality ◽  
Effect Size ◽  
Mediating Effect ◽  
Poor Sleep ◽  
Mediating Effects ◽  
Relationship Of ◽  
Anxiety Depression ◽  
The Relationship

Objective: The aim of the study is to investigate effects of loneliness on individual's mental health and the mediating effects of intolerance of uncertainty and sleep quality in the post Coronavirus-19 period, especially for the young people.Methods: The questionnaires used in this study include UCLA loneliness scale (UCLA-3), the Pittsburgh Sleep Quality Index (PSQI), intolerance for uncertainty (IU) and the Chinese version of DASS-21. A total number of 289 subjects were recruited in the study, which includes 209 females (72.3%), 80 males (27.7%); and 212 students (73.4%), 77 working staffs (26.6%).Results: The results showed that: (1) people have high levels of loneliness, anxiety, depression and stress, and poor sleep quality; (2) the mediating effect of intolerance for uncertainty in the relationship of loneliness and mental health is significant (effect size = 0.178, 95% CI confidence interval: [0.115, 0.241]), and the mediating effects of sleep quality in the relationship between loneliness and mental health is significant (effect size = 0.127, 95% CI confidence interval: [0.017, 0.239]).Conclusion: Loneliness invokes a stronger self-concerned inadaptability to threat response and may lead to more mental diseases through more serious intolerance for uncertainty and insomnia.

Mental Fatigue Over 2 Elite Netball Seasons: A Case for Mental Fatigue to be Included in Athlete Self-Report Measures

2021 ◽  
pp. 1-10
Author(s):  
Suzanna Russell ◽  
David G. Jenkins ◽  
Shona L. Halson ◽  
Laura E. Juliff ◽  
Mark J. Connick ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Well Being ◽  
Team Sport ◽  
Mental Fatigue ◽  
Self Report ◽  
Physical Fatigue ◽  
Likert Scales ◽  
Independent Measure ◽  
The Relationship ◽  
Sporting Performance

Purpose: Mental fatigue is emerging as an important consideration for elite sporting performance, yet it is rarely monitored. The present study assessed changes in mental fatigue in professional team-sport athletes across 2 seasons and examined the relationship between mental fatigue and other athlete self-report measures of well-being. Methods: Elite netballers contracted to all teams competing in Australia’s premier professional netball competition during the 2018 and 2019 seasons (N = 154) participated. Using 5-point Likert scales, mental fatigue, fatigue (physical), tiredness, sleep quality, stress, mood, and motivation were assessed daily across 2 seasons composed of 14 round and finals series. Results: The ratings of mental fatigue significantly changed during both seasons. In 2018, lower ratings of mental fatigue were reported in round 1 versus 3, 4, 6, 8, and 14; round 7 versus 6; and round 6 versus 10 (P < .05). In 2019, lower ratings of mental fatigue were identified for round 1 versus 3, 9, 10 to 14, and semifinal; round 2 versus 10 to 13; and 5 versus 10 to 12 (P < .05). Ordinal regression revealed significant differences between mental fatigue and physical fatigue (P < .001), tiredness (P < .001), stress (P < .001), mood (P < .001), and motivation (P < .05). Conclusions: The present study found mental fatigue to significantly fluctuate across a season in elite netballers. Moreover, perceived mental fatigue differed from physical fatigue, tiredness, stress, mood, and motivation. The data impress the need for mental fatigue to be included as an independent measure of athlete well-being. Monitoring of mental fatigue can allow practitioners to implement strategies to manage its influence on performance.

scholarly journals Psychological Capital Mediates the Relationship Between Problematic Smartphone Use and Learning Burnout in Chinese Medical Undergraduates and Postgraduates: A Cross-Sectional Study

2021 ◽  
Vol 12 ◽  
Author(s):  
Changhong Zhang ◽  
Ge Li ◽  
Zhaoya Fan ◽  
Xiaojun Tang ◽  
Fan Zhang
Keyword(s):  
Psychological Capital ◽  
Bootstrap Method ◽  
Demographic Variables ◽  
Mediating Effect ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Problematic Smartphone Use ◽  
Medical Undergraduates ◽  
Smartphone Use ◽  
The Relationship

Learning burnout is a pressing issue among Chinese medical undergraduates and Postgraduates and has drawn continuous attention worldwide. Studies have found that problematic smartphone use could affect learning burnout, but more research is needed in this direction. Furthermore, few studies focused on the mediating effect of psychological capital on the relationship between problematic smartphone use and learning burnout. The present study was a cross-sectional survey that recruited 1,800 participants from a medical university in Chongqing, China. A questionnaire based on the Mobile Phone Addiction Tendency Scale, Psychological Capital Questionnaire, Learning Burnout Scale, and demographic variables were administered to these students, and 1,475 provided valid responses (81.94%). 771 were undergraduates (52.3%) and 704 were postgraduates (47.7%). Hierarchical regression and the bootstrap method were used to examine the mediating effect of psychological capital. After controlling for demographic variables, problematic smartphone use positively predicted learning burnout in undergraduates (β = 0.328, p &lt; 0.01) and in postgraduates (β = 0.342, p &lt; 0.01). The partial mediating effect of psychological capital was 0.068 in undergraduates and 0.074 in postgraduates, accounting for 20.67 and 21.64%, respectively, of the total effect of problematic smartphone use on learning burnout. All the 95% confidence intervals (CI) did not contain 0. Problematic smartphone use can directly predict learning burnout and their relationship was mediated by psychological capital in Chinese medical undergraduates and postgraduates. Strategies to alleviating problematic smartphone use and enhance psychological capital in medical undergraduates and postgraduates may provide useful suggestions for future interventions on dealing with learning burnout in Chinese medical undergraduates and postgraduates.

scholarly journals Using 24-h Heart Rate Variability to Investigate the Sleep Quality and Depression Symptoms of Medical Students

2022 ◽  
Vol 12 ◽  
Author(s):  
Xiansheng Guo ◽  
Tiehong Su ◽  
Haoran Xiao ◽  
Rong Xiao ◽  
Zhongju Xiao
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Depressive Symptoms ◽  
Medical Students ◽  
Correlation Analysis ◽  
Sleep Quality ◽  
Sleep Disturbance ◽  
Depression Symptoms ◽  
Poor Sleep ◽  
The Relationship

There have been numerous studies on the relationship between sleep and depression, as well as the relationship between sleep and depression, and heart rate variability (HRV), respectively. Even so, few studies have combined 24-h HRV analysis to study sleep quality and depressive symptoms. The purpose of this cross-sectional study was to investigate the relationship between depressed symptoms, sleep quality, and 24-h HRV in medical students. The particiants were all students at a medical university in Guangdong province, China. A total of 74 college students participated. They were asked to complete a questionnaire that included the Pittsburgh Sleep Quality Index (PSQI), the Beck Depression Inventory-II (BDI-II), the Positive and Negative Affect Scale (PANAS), and 24-h ECG monitoring. The results showed that 41.7% of the medical students had poor sleep quality, with higher levels of depressive symptoms and more negative emotions, and there was no difference in 24-h HRV indices between the low PSQI group and the high one. Correlation analysis showed that there was a significant relationship between sleep quality and depressive symptoms (r = 0.617), but the relationship between 24-h HRV indices and PSQI global scores, BDI scores were not significant. However, the correlation analysis of PSQI components and 24-h HRV showed that sleep disturbance was significantly negatively correlated with SDNN and LF in waking period (r = −0.285, −0.235), and with SDNN in sleeping period (r = −0.317). In general, the sleep disturbance in PSQI components can sensitively reflect the relationship between sleep quality and 24-h HRV of medical students. Individuals with higher sleep disturance may have lower SDNN during awake period and bedtime period, and lower LF in awake period. Twenty-four hour HRV has certain application value in clinical sleep quality monitoring, and its sensitivity and specificity in clinical application and daily life are still worth further investigation.

scholarly journals The Relationship of CSR Communication on Social Media with Consumer Purchase Intention and Brand Admiration

2021 ◽  
Vol 16 (5) ◽  
pp. 1217-1230
Author(s):  
Shuchi Gupta ◽  
Nishad Nawaz ◽  
Adel Abdulmhsen Alfalah ◽  
Rana Tahir Naveed ◽  
Saqib Muneer ◽  
...  
Keyword(s):  
Social Media ◽  
Purchase Intention ◽  
Structural Equation ◽  
Mediating Effect ◽  
Equation Modeling ◽  
Csr Communication ◽  
Consumer Purchase Intention ◽  
Relationship Of ◽  
The Impact ◽  
The Relationship

With the advent of the Internet and other digital technologies, contemporary businesses from all sectors are using social media for communication with consumers to engage them meaningfully with a brand. However, the use of social media for corporate social responsibility (CSR) communication is relatively new to the existing literature. Likewise, the impact of CSR communication through social media (CSR-S) on consumer emotions and behavior is, to date, underexplored. To address this, the present research aims to test the relationship of CSR-S on brand admiration and consumer purchase intention. The study proposes a direct relationship between CSR-S and purchase intention with a mediating effect of brand admiration. The data were collected from the banking consumers of Pakistan through a self-administered questionnaire. The authors distributed 800 questionnaires and received 463 questionnaires useful for data analysis, so the present research study response rate was around 59%. The data were analyzed using the structural equation modeling (SEM) technique in AMOS. The results revealed that CSR-S is positively related to purchase intention (β = 0.233). The results further showed that brand admiration partially mediates this relationship (β = 0.079). The survey respondents confirmed that their bank’s CSR communication helps enhance their purchase likelihood and their feelings of admiration for their bank. These findings will help policymakers at banking institutions better understand the importance of CSR communication on different social media platforms to achieve consumer-related outcomes.

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