Association of problematic smartphone use with poor sleep quality, depression, and anxiety: A systematic review and meta-analysis

Omega-3 fatty acids and sleep: recent advances in understanding effects and mechanisms

PURPOSE OF REVIEW

Sleep disturbance and low dietary intake of omega-3 fatty acids are common in modern society. Previous research shows that omega-3 fatty acids play an integral role in the regulation of sleep processes, but efficacy data in adults have been equivocal to date. This review examines recent studies highlighting the effects of omega-3 fatty acids on sleep quality and circadian processes.

RECENT FINDINGS

Two randomized controlled trials in healthy adults found that supplementation with DHA-rich interventions improved sleep quality, though effects may vary depending on age, current sleep habits and habitual omega-3 intake. Conversely, EPA-rich interventions in menopausal women, men with prostate cancer and people experiencing episodic migraines did not improve sleep quality. Advances in lipidomics reveal a bidirectional relationship between sleep disturbance and lipid metabolism, to some extent underpinned by activity of omega-3 fatty acids in circadian processes. Therefore, adequate omega-3 fatty acid intake is both a preventive and therapeutic approach to sleep quality and health.

SUMMARY

Omega-3 fatty acids and DHA in particular show promise for improving sleep quality and limiting the adverse effects of sleep disturbance on health. Future research should focus on developing sex-specific and age-specific recommendations for omega-3 fatty acid intake to optimize sleep health.

The predictive value of supervised machine learning models for insomnia symptoms through smartphone usage behavior

Introduction

Digital phenotyping can be an innovative and unobtrusive way to improve the detection of insomnia. This study explores the correlations between smartphone usage features (SUF) and insomnia symptoms and their predictive value for detecting insomnia symptoms.

Methods

In an observational study of a German convenience sample, the Insomnia Severity Index (ISI) and smartphone usage data (e.g., time the screen was active, longest time the screen was inactive in the night) for the previous 7 days were obtained. SUF (e.g., min, mean) were calculated from the smartphone usage data. Correlation analyses between the ISI and SUF were conducted. For the specification of the machine learning models (ML), 80 % of the data was allocated to training, 20 % to testing, and five-fold cross-validation was used. Six algorithms (support vector machine, XGBoost, Random Forest, k-Nearest-Neighbor, Naive Bayes, and Logistic Regressions) were specified to predict ISI scores ≥15.

Results

752 participants (51.1 % female, mean ISI = 10.23, mean age = 41.92) were included in the analyses. Small correlations between some of the SUF and insomnia symptoms were found. In the ML models, sensitivity was low, ranging from 0.05 to 0.27 in the testing subsample. Random Forest and Naive Bayes were the best-performing algorithms. Yet, their AUCs (0.57, 0.58 respectively) in the testing subsample indicated a low discrimination capacity.

Conclusions

Given the small magnitude of the correlations and low discrimination capacity of the ML models, SUFs, as measured in this study, do not appear to be sufficient for detecting insomnia symptoms. Further research is necessary to explore whether examining intra-individual variations and subpopulations or employing alternative smartphone sensors yields more promising outcomes.

Prevalence and Correlates of Poor Sleep Quality Among Psychiatry Physicians in Saudi Arabia: A Cross-Sectional Study

Background and Aims

Sleep issues pose a significant burden to public health and well-being in Saudi Arabia. However, research evidence on sleep health among psychiatry physicians in this territory is limited. Therefore, to bridge the research gap, this study was designed to assess the prevalence and predictors of poor sleep quality among psychiatry physicians in the country.

Methods

This cross-sectional study included 554 psychiatry physicians in Saudi Arabia from March to August 2023. Data were collected via online through a structured questionnaire (Google survey form). Sleep quality, the outcome variable of our study, was evaluated with the Pittsburgh Sleep Quality Index (PSQI; 19 items). Independent variables included sociodemographic and behavioral characteristics, sleep habits, major depression (assessed with Patient Health Questionnaire-9), and anxiety (measured with Generalized Anxiety Disorder-7) symptoms. Binary logistic regression analysis was performed to identify the correlates of poor sleep quality.

Results

Based on the PSQI, 61.3% of the study participants had poor-quality sleep (age range: 24-56 years, male: 48.0%). The adjusted model revealed that male participants (AOR = 2.80, 95% CI = 1.70-4.61) and those who had on-call duties ≥ 2 times per week (for three/four per week: AOR = 3.41, 95% CI = 1.89-6.14) were at higher risk of developing poor sleep quality compared to their respective counterparts. Participants with depressive symptoms (AOR = 3.46, 95% CI = 1.60-7.48) and smoking habits (AOR = 3.47, 95% CI = 1.32-9.08) had higher odds of developing poor sleep quality than their counterparts. Moreover, participants who always used their smartphone/laptop before going to bed were more likely to have poor sleep quality than those who never used such (AOR = 3.15, 95% CI = 1.31-7.60).

Conclusion

Poor sleep quality is extremely prominent among psychiatry physicians in Saudi Arabia. Male sex, higher on-call duty, smoking habits, depression, and smartphone/laptop use before bedtime were significantly associated with poor sleep quality. These findings emphasize the need for sleep-health promotion interventions for Saudi psychiatry physicians.

The relationship between sleep quality, depression, and smartphone addiction in pregnant women: a mediation analysis

In recent years, the prevalence of smartphone addiction has significantly increased. This situation has raised concerns about its potential impact on health aspects, such as sleep quality and mental health, particularly among vulnerable populations like pregnant women. This study aimed to identify the factors that determine sleep quality in pregnant women and examine the relationship between smartphone addiction, depression, and sleep quality. This descriptive correlational study included 257 pregnant women in their second and third trimesters who were registered at six family health centers between September 2022 and March 2023. Data were collected using a sociodemographic questionnaire, the Smartphone Addiction Scale Short Form, Edinburgh Postnatal Depression Scale, and Pittsburgh Sleep Quality Index. Regression and mediation analyses were performed for the data. Of the participants, 44.4 percent had poor sleep quality. Depression and third trimester were significant determinants of sleep quality. The bootstrapping results revealed that smartphone addiction led to an increase in the level of depression (β = 0.145; p < .001). Depression worsened sleep quality (β = 0.262; p < .001). The smartphone addiction did not significantly affect sleep quality (β = 0.020; p = .279). Depression mediates the relationship between sleep quality and smartphone addiction (β = 0.038; 95 percent CI [0.018: 0.062]). The study highlights that while smartphone addiction does not directly impact sleep quality in pregnant women, it is associated with increased depression levels, which subsequently worsen sleep quality. It is recommended that healthcare providers monitor smartphone usage and mental health in pregnant women to mitigate the risk of sleep disturbances and improve overall well-being.

A meta-review of screening and treatment of electronic "addictions"

Concerns surrounding electronic addictions, an umbrella term including any clinically significant technology-based addictive problem, have increased as technology has advanced. Although researchers and clinicians have observed detrimental effects associated with excessive technology use, there is no agreed-on definition or set of criteria for these problems. The lack of a consistent understanding of electronic addictions has led to a lack of consistency in both assessment and treatment studies, precluding strong recommendations for effective screening and clinical intervention. This meta-review integrates findings from 22 systematic reviews and meta-analyses of electronic addictions to determine which measures and interventions may effectively measure and treat electronic addictions. We conducted a meta-review using Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Findings suggest that although some measures may have good internal consistency and reliability among college students, there was a general lack of consistency in how measures were used across studies, making comparison difficult. Psychological and exercise-based interventions were shown to reduce symptoms of electronic addictions short-term, but no treatment was superior to others in overall symptom reduction. Most included reviews raise serious concerns about the lack of consensus on what constitutes an electronic addiction. Consequently, it was not possible to draw conclusions about the overall efficacy of any measurement tools or interventions. We provide suggestions for next steps to establish the phenomenology of electronic addictions before additional research on assessment and intervention is conducted.

Effects of Sleep Quality, Acute Sleep Deprivation, and Napping on Facial Emotion Recognition Accuracy and Speed

Objective

To investigate the effects of sleep quality, sleep deprivation, and napping on facial emotion recognition (FER) accuracy and speed.

Methods

This research included a cross-sectional study (102 qualified participants) and a randomized controlled study (26 in the napping group and 24 in the control group). The stimuli for the FER task were obtained from the Chinese Facial Affective Picture System (CFAPS). Four facial expressions (fearful, disgusted, sad, and angry) were used. The Pittsburgh Sleep Quality Index (PSQI), Self-Rating Anxiety Scale, and Self-Rating Depression Scale were used to measure participants' sleep quality and psychological conditions. In Study 1, FER ability was compared between good and poor sleepers. In Study 2, all participants were sleep-deprived for one night, and completed the FER task before and after sleep deprivation. After different interventions (ie, napping for one hour, or walking around for ten minutes), the participants completed the third FER task.

Results

Study 1: Poor sleepers were able to recognize sad expressions more accurately compared with good sleepers. Study 2: 30-h sleep deprivation had no significant effect on the accuracy (ACC). Napping after sleep deprivation improved the FER ACC of upper-face expressions and marginally significantly improved the FER ACC of disgusted expressions.

Conclusion

Better sleep quality was linked to lower FER accuracy, particularly in recognizing sad expressions, while no significant differences in recognition speed were observed. Additionally, 30 hours of sleep deprivation did not affect FER accuracy, but napping after sleep deprivation improved accuracy for upper-face and marginally for disgusted expressions.

Videoconferencing During the COVID-19 Pandemic is Associated with Sleep Disruption in Young Adults

Purpose

The COVID-19 pandemic resulted in a shift to working and learning from home and a concomitant rise in the use of virtual communication technology, such as videoconferencing. The current study prospectively examined the association between videoconferencing and sleep in a sample of young adults attending a university during the pandemic. The effects of videoconferencing on health and wellness outcomes and academic performance were also evaluated.

Patients and Methods

Participants completed the core Consensus Sleep Diary and reported engagement in videoconferencing, the use of electronic devices, and physical activity daily for 8 consecutive days. They also completed baseline measures of sleep, communication technology use, physical activity, and mental distress, as well as released their end-of-term GPA. Results were evaluated via multilevel modeling and path analysis.

Results

Participants with a heavier videocall volume lost 17 m of sleep and suffered nearly a 1% reduction in sleep efficiency for each additional hour of videoconferencing compared to those with a lower call volume. They also tended to spend more time awake during the night, have earlier sleep midpoints, and report worse sleep, although those trends did not reach statistical significance. For everyone, including individuals with lower videocall volume, earlier sleep midpoints, lower sleep quality, somewhat shorter sleep, and higher fatigue were reported on days with a relatively high videocall load compared to days with a low videocall load. Increased academic engagement with videoconferencing predicted lower academic performance and higher psychological distress: Both relationships were mediated by sleep. Use of videoconferencing for personal reasons, however, was directly associated with a reduction in distress.

Conclusion

Videoconferencing is an important determinant of sleep and may impact health and wellness as well as academic outcomes in young adults. The effects of virtual communication on sleep and human behavior warrant further study in this and other populations.

Less smartphone and more physical activity for a better work satisfaction, motivation, work-life balance, and mental health: An experimental intervention study

Employees' work satisfaction and mental health are crucial for an organization's productivity. The current experimental study on employees (Ntotal = 278) from different professional sectors and workplaces in Germany investigated how to improve both by changes of daily non-work-related smartphone use time and physical activity time. For one week, the smartphone group (N = 73) reduced its daily smartphone use by one hour, the physical activity group (N = 69) increased its daily physical activity by 30 minutes, the combination group (N = 72) followed both interventions, the control group (N = 64) did not change its behavior. Online surveys assessed work-related and mental health-related variables at three measurement time points (baseline; post-intervention; two-week follow-up). The reduction of smartphone use time and the combination of both interventions increased work satisfaction, work motivation, work-life balance, and positive mental health significantly; experience of work overload and problematic smartphone use significantly decreased. All interventions decreased depressive symptoms and enhanced sense of control significantly. Following the present findings, a conscious and controlled reduction of non-work-related smartphone use time and its combination with more physical activity could improve employees' work satisfaction and mental health in the organizational context either as an addition to established training programs or as a separate time- and cost-efficient low threshold program.

Similarities and differences in the psychological factors associated with generalised problematic internet use, problematic social media use, and problematic online gaming

Problematic online behaviours are a concern among university students. Although previous research has identified that psychological distress, cognitive distortions, conscientiousness and neuroticism traits, motor impulsivity, and emotion regulation strategies have a significant direct effect on generalised problematic Internet use (GPIU), problematic social media use (PSMU), and problematic online gaming (POG), it is still necessary to determine the extent to which these psychological factors, taken together, are associated with each of the problematic online behaviours. In a sample of 690 Spanish university students, the present study examined the relationship of these psychological factors with GPIU, PSMU, and POG. Correlation and regression analyses were performed. Results reported that (1) high psychological distress, low conscientiousness trait and high motor impulsivity were common associated factors of GPIU and PSMU, but not of POG; (2) high levels of cognitive distortions and cognitive reappraisal were common associated factors of GPIU, PSMU and POG; and (3) expressive suppression and neuroticism trait had no effect on any of the three problematic online behaviours. The findings will help to develop effective prevention and intervention strategies for each problematic online behaviour in the university context.

A Longitudinal Investigation on the Reciprocal Relationship of Problematic Smartphone Use with Bedtime Procrastination, Sleep Quality, and Mental Health Among University Students

Background

Problematic smartphone use (PSU) is linked to various mental health issues, but the relationship between PSU, bedtime procrastination, and mental health symptoms is unclear. Sleep factors related to PSU and its mental health effects have been understudied. This study explores the longitudinal associations between PSU, bedtime procrastination, sleep quality, and mental health in university students.

Methods

In this study, a total of 683 university students participated by completing questionnaires on Smart Phone Addiction (SAS) scale, Bedtime Procrastination Scale (BPS), Pittsburgh Sleep Quality Index (PSQI), and Depression, Anxiety Stress Scales 21 (DASS-21) across two different time points with six-months interval between them. The participants were selected using a cluster sampling technique from Quaid-e-Azam University, Islamabad, Pakistan. A cross-lagged model was utilized to assess the longitudinal association between these variables.

Results

Statistically significant reciprocal associations were found between PSU, bedtime procrastination, and mental health symptoms. PSU at Time 1 significantly predicted PSU at Time 2, bedtime procrastination at Time 2, sleep quality at Time 2, and mental health symptoms at Time 2. Bedtime procrastination at Time 1 predicted PSU at Time 2, sleep quality at Time 2, and mental health symptoms at Time 2. Sleep quality at Time 1 predicted bedtime procrastination at Time 2 and mental health symptoms at Time 2. Mental health symptoms at Time 1 predicted PSU at Time 2 and sleep quality at Time 2.

Conclusion

The research findings have significantly advanced understanding of the longitudinal connections between PSU, bedtime procrastination, sleep quality, and mental health indicators. This enhanced comprehension is instrumental for psychological practitioners in devising targeted interventions to mitigate such issues among the university student demographic.

Predicting Smartphone Addiction Trajectories in Korean Adolescents: A Longitudinal Analysis of Protective and Risk Factors Based on a National Survey from 2018 to 2020

This longitudinal study aimed to identify the role of psychosocial factors affecting smartphone addiction (SA) among Korean adolescents and predict the trajectory of SA based on the Korean Children and Youth Panel Survey (KCYPS) 2018 to 2020. The dependent variable was SA score as measured by the Korean Smartphone Addiction Propensity Scale (SAPS), and the independent variables were psychosocial factors (attention, grit, life satisfaction, self-esteem, aggression, depression, social withdrawal and physical symptom). Generalized estimating equation (GEE) analysis (adjusted for covariates) results indicated that attention (B = -0.346, P < .001), grit (B = -0.402, P < .001), life satisfaction (B = -0.150, P < .001), and self-esteem (B = -0.099, P < .001) were protective factors for reducing SA score. Conversely, aggression (B = 0.222, P < .001) and depression (B = 0.067, P = .005) were predicted to be risk factors for increasing SA score. A better understanding of the relationship between behavioral addiction and psychosocial development factors in adolescence will assist in the development of more effective prevention and treatment strategies.

Association of screen-based activities and risk of self-harm and suicidal behaviors among young people: A systematic review and meta-analysis of longitudinal studies

Emerging evidence suggests that screen-based activities are associated with self-harm and suicidal behaviors. This study aimed to examine these associations among young people through a meta-analysis. We systematically searched EBSCO pshyARTICLES, MEDLINE (via PubMed), EMBASE, and Web of Science from their inception to April 1, 2022, and updated on May 1, 2024. Longitudinal studies reporting the association between various screen-based activities and subsequent self-harm and suicidal behaviors in young people aged 10 to 24 were included. Nineteen longitudinal studies were included in the qualitative synthesis, and 13 studies comprising 43,489 young people were included in the meta-analysis, revealing that total screen use is significantly associated with the risks of self-harm and suicidal behaviors. Cyberbullying victimization was also related to these adverse outcomes. Subgroup analyses indicated that social media use and problematic screen use are significant risk factors for self-harm and suicidal behaviors. Study quality was appraised using the Newcastle-Ottawa Scale, and potential publication bias was deemed unlikely to affect the results significantly. These findings suggest that screen-based activities should be considered in the management and intervention strategies for self-harm and suicidal behaviors in young people.

Social Media Use and Sleep Quality Among Secondary School Students in Aseer Region: A Cross-Sectional Study

Background

Use of different social media platforms has increased radically over the past decade, emerging as an important part of adolescents and young people's everyday life. This might exert potential adverse effects on sleep quality and daytime performance of young adults.

Aim of Study

To assess the relation between use of social media platforms and sleep quality among public secondary school students.

Methods

A cross-sectional study was conducted on 961 students in Aseer region, Saudi Arabia. Students were asked to fill in a structured interview questionnaire covering personal data, pattern of social media use, sleep quality using The Pittsburgh Sleep Quality Index (PSQI) and their mental health status using the depression, anxiety and stress scale (DASS-21).

Results

Students' ages ranged from 15 to 20 years with a mean age of 16.7 ± 2.1 years old. A total of 570 (59.3%) students were females. Tiktok (80%), Snapchat (77.9%), Instagram (63.8%) and YouTube (58.8%) were the most reported platforms used. Regarding their sleep quality, 34.7% of students were poor sleepers. TikTok use (OR 1.33, 95% CI 1.01-1.77), hours spent on social media (OR 1.26, 95% CI 1.16-1.37) and having moderate to severe depressive symptoms (OR 1.69, 95% CI 1.19-2.40) were significant independent predictors of poor sleep among the studied sample.

Conclusion

The present study emphasized the association between prolonged use of social media and poor sleep quality among Saudi adolescents. Awareness and behavioral change strategies and activities concerning the drawbacks of poor sleep and proper use of social media are urgently called for to control mental and physical health consequences of poor sleep and social media addiction.

Effective parental strategies against problematic smartphone use among adolescents: A 6-month prospective study

Problematic Smartphone Use (PSU) among adolescents is growing problem worldwide and multiple studies investigated its associated parental risk and protective factors. The available studies, however, typically do not address the multidimensional nature of PSU. They also rely heavily on cross-sectional designs with a small number of potentially contributing variables. This 6-month prospective study examines the relationships between a large range of parental factors with the three known dimensions of PSU: social environment pressure, emotional gain, and addiction-like behaviors. Specifically the study examines whether, and to what extent, the various dimensions of current and future PSU are related to parental support giving, general quality of communication, specific communication about smartphone use, and the four common mediation strategies. The sample comprised 1187 triads of mothers, fathers, and adolescents. The data-analysis pipeline consisted of three consecutive phases: (1) analyses of parental factors at baseline, (2) analyses of parental factors change over 6-months, and (3) interaction analyses between parental factors and the time-period of the study. The pipeline elicited three factors that moderated the change in PSU over time: Communication about smartphones with mothers, parental support giving, and parental co-use. The implications of these findings are discussed in the context of the existing literature and the familial, microsystem theoretical framework. Altogether, this prospective study scrutinized key parental factors and strategies that could be utilized by parents for coping with one of the most difficult parenting challenges of the digital era. Further research may build upon these findings to develop designated interventions to reduce PSU.

Problematic Use of Smartphones and Sleep Quality Among Healthcare Workers in Qassim, Saudi Arabia

Background and objectives Problematic use of smartphones among healthcare workers can affect their performance, patient care, safety, care outcomes, and patient satisfaction. The aim of this study was to determine the prevalence of problematic use of smartphones and the relationship between the problematic use of smartphones and sleep quality among healthcare workers in Qassim, Saudi Arabia. Methods We enrolled 393 healthcare workers conveniently selected online for this cross-sectional survey. We assessed the problematic use of smartphones using the short version of the Smartphone Addiction Scale. For sleep quality, we used the Pittsburgh Sleep Quality Index (PSQI). Linear regression was used to assess the association of problematic use of smartphones with sleep quality. IBM SPSS Statistics, version 23.0 (IBM Corp., Armonk, NY) was used for analyses. Results The prevalence of smartphone addiction (SMA) was 59.0%, and 30.5% were at high risk for addiction. The mean PSQI score was 11.56 ± 2.1 out of 21. It was found that female gender was associated with poor sleep quality (adjusted B = 0.45, p-value = 0.049). On the other hand, SMA was also significantly associated with poor sleep quality (adjusted B = 0.90, p-value = 0.016). Conclusion There is a high prevalence of problematic use of smartphones among healthcare workers, which is associated with poor sleep quality. Given the significant occurrence of problematic smartphone use among healthcare professionals and its detrimental effects on sleep quality, it is crucial for public health initiatives to devise and execute suitable preventive measures, such as smartphone use policies at work and education of workers.

Teachers' competence: How to protect teachers' mental health from the burden caused by students' private in-class use of technical devices?

The current study investigated how students' private in-class use of technical devices is associated with teachers' mental health. Data of 361 teachers from primary and secondary schools in Germany were assessed via online surveys. The present cross-sectional results show a positive association between burden caused by the students' private in-class use of technical devices and teachers' depression symptoms. Both were negatively linked to teachers' positive mental health (PMH) and teachers' competence in handling students' private in-class use of technical devices. In a moderated mediation analysis, the association between burden and depression symptoms was mediated by PMH. Teachers' competence moderated the link between PMH and depression symptoms. Specifically, the higher the competence, the weaker the relationship between both variables. Thus, the protective effect of teachers' competence could be especially important in persons with low PMH. Competence training in handling students' use of technical devices is discussed as a potential step that could protect teachers' mental health.

The Use of Text Messaging as an Adjunct to Internet-Based Cognitive Behavioral Therapy for Major Depressive Disorder in Youth: Secondary Analysis

BACKGROUND

As an established treatment for major depressive disorder (MDD), cognitive behavioral therapy (CBT) is now implemented and assessed in internet-based formats that, when combined with smartphone apps, enable secure text messaging. As an adjunct to such internet-based CBT (ICBT) approaches, text messaging has been associated with increased adherence and therapeutic alliance.

OBJECTIVE

This study analyzed data from the intervention arm of a randomized control trial evaluating 24-week ICBT for MDD (intervention arm) against standard-care psychiatry (waitlist control). The aim of this secondary analysis was to assess MDD symptom improvement in relation to the frequency and content of text messages sent by ICBT participants to Navigator-Coaches during randomized control trial participation. Higher text frequency in general and in 3 conceptual categories (appreciating alliance, alliance building disclosures, and agreement confirmation) was hypothesized to predict larger MDD symptom improvement.

METHODS

Participants were young adults (18-30 years) from the Centre for Addiction and Mental Health. The frequencies of categorized texts from 20 ICBT completers were analyzed with respect to MDD symptom improvement using linear regression models. Texts were coded by 2 independent coders and categorized using content analysis. MDD symptoms were measured using the Beck Depression Inventory-II (BDI-II).

RESULTS

Participants sent an average of 136 text messages. Analyses indicated that BDI-II improvement was negatively associated with text messaging frequency in general (β=-0.029, 95% CI -0.11 to 0.048) and in each of the 3 categories: appreciating alliance (β=-0.096, 95% CI -0.80 to 0.61), alliance building disclosures (β=-0.098, 95% CI -0.28 to 0.084), and agreement confirmation (β=-0.076, 95% CI -0.40 to 0.25). Altogether, the effect of text messaging on BDI-II improvement was uniformly negative across statistical models. More text messaging appeared associated with less MDD symptom improvement.

CONCLUSIONS

The hypothesized positive associations between conceptually categorized text messages and MDD symptom improvement were not supported in this study. Instead, more text messaging appeared to indicate less treatment benefit. Future studies with larger samples are needed to discern the optimal use of text messaging in ICBT approaches using adjunctive modes of communication.

TRIAL REGISTRATION

Clinical Trials.gov NCT03406052; https://www.clinicaltrials.gov/ct2/show/NCT03406052.

The mediating effect of attentional impulsivity between mindfulness and problematic smartphone use

OBJECTIVE

Problematic smartphone use has been linked to lower levels of mindfulness, impaired attentional function, and higher impulsivity. This study aimed to identify the psychological mechanisms of problematic smartphone use by exploring the relationship between addictive smartphone use, mindfulness, attentional function and impulsivity.

METHODS

Ninety participants were evaluated with the smartphone addiction proneness scale and classified into the problematic smartphone use group (n = 42; 24 women; mean age: 27.6 ± 7.2 years) or normal use group (n = 48; 22 women; mean age: 30.1 ± 5.7 years). All participants completed self-report questionnaires evaluating their trait impulsivity and mindfulness and attention tests that assessed selective, sustained and divided attention. We compared the variables between the groups and explored the relationship between mindfulness, attentional function, impulsivity and addictive smartphone use through mediation analysis.

RESULTS

The problematic smartphone use group showed higher trait impulsivity and lower mindfulness than the normal use group. There were no significant group differences in performance on attention tests. Levels of addictive smartphone use were significantly correlated with higher levels of trait impulsivity and lower levels of mindfulness, but not with performance on attention tests. Mediation analysis showed that acting with awareness, an aspect of mindfulness, reduces the degree of addictive smartphone use through attentional impulsivity, one of the trait impulsivity.

CONCLUSION

Acting without sufficient awareness could influence addictive smartphone use by mediating attentional impulsivity. This supports that executive control deficits, reflected in high attentional impulsivity, contribute to problematic smartphone use. Our findings imply that mindfulness-based interventions can enhance executive control over smartphone use by promoting awareness.

Unraveling the associations between unhealthy lifestyle behaviors and mental health in the general adult Chinese population: A cross-sectional study

BACKGROUND

This study examined the cumulative risk of unhealthy lifestyle behaviors and the associations between overall lifestyle and common mental disorders (CMDs), insomnia, stress, health-related quality of life (HRQOL), and functional impairment. Additionally, the treatment preferences for managing CMDs and insomnia were examined.

METHODS

A survey was conducted on 1487 Chinese Hong Kong adults, assessing their lifestyle behaviors (i.e., diet and nutrition, substance use, physical activity, stress management, restorative sleep, social support, and environmental exposures), mental health-related outcomes, and treatment preferences via a vignette.

RESULTS

The findings revealed significant additive relationships between the number of 'worse' lifestyle domains and the risk of all outcomes. A healthier overall lifestyle was significantly associated with reduced risks of all outcomes (AORs = 0.88 to 0.93). Having healthier practices in diet and nutrition, substance use, stress management, restorative sleep, and social support domains were significantly associated with lower risks of all outcomes (AORs = 0.93 to 0.98), except that substance use was not significantly associated with stress. Physical activity was inversely associated with only depressive symptoms (AOR = 0.98), anxiety symptoms (AOR = 0.99), and stress (AOR = 0.99). Environmental exposures were not significantly associated with functional impairment but with all other outcomes (AORs = 0.98 to 0.99). Besides, lifestyle interventions (55 %) were significantly more preferred for managing CMDs and insomnia relative to psychotherapy (35.4 %) and pharmacotherapy (9.6 %).

CONCLUSIONS

Our findings underscore the importance of considering lifestyle factors when managing CMDs, insomnia, stress, HRQOL, and functional impairment, with a particular emphasis on adopting a multicomponent treatment approach.

Sleep quality and associated factors among university students in Africa: a systematic review and meta-analysis study

Background

Poor sleep quality significantly impacts academic performance in university students. However, inconsistent and inconclusive results were found in a study on sleep among university students in several African nations. Therefore, this study aimed to estimate the pooled prevalence and associated factors of poor sleep quality among university students in Africa.

Methods

The databases PubMed, Scopus, Cochrane Library, Science Direct, African Journal Online, and Google Scholar were searched to identify articles. A total of 35 primary articles from 11 African countries were assessed and included in this systematic review and meta-analysis. Data were extracted by using a Microsoft Excel spreadsheet and exported to STATA version 14 for analysis. The I2 test was used to assess the statistical heterogeneity. A random effect meta-analysis model was employed with 95% confidence intervals. Funnel plots analysis and Egger regression tests were used to check the presence of publication bias. A subgroup analysis and a sensitivity analysis were done.

Results

A total of 16,275 study participants from 35 studies were included in this meta-analysis and systematic review. The overall pooled prevalence of poor sleep quality among university students in Africa was 63.31% (95% CI: 56.91-65.71) I2 = 97.2. The subgroup analysis shows that the combined prevalence of poor sleep quality in East, North, West, and South Africa were 61.31 (95% CI: 56.91-65.71), 62.23 (95% CI: 54.07-70.39), 54.43 (95% CI: 47.39-61.48), and 69.59 (95% CI: 50.39-88.80) respectively. Being stressed (AOR= 2.39; 95% CI: 1.63 to 3.51), second academic year (AOR= 3.10; 95% CI: 2.30 to 4.19), use of the electronic device at bedtime (AOR= 3.97 95% CI: 2.38 to 6.61)) and having a comorbid chronic illness (AOR = 2.71; 95% CI: 1.08, 6.82) were factors significantly associated with poor sleep quality.

Conclusion

This study shows that there is a high prevalence of poor sleep quality among university students in Africa. Being stressed, in the second year, using electronic devices at bedtime, and having chronic illness were factors associated with poor sleep quality. Therefore, addressing contributing factors and implementing routine screenings are essential to reduce the burden of poor sleep quality.

Systematic Review Registration

https://www.crd.york.ac.uk/prospero/, identifier CRD42023493140.

Microaggressions, perceptions of campus climate, mental health, and alcohol use among first-year college students of color

Depressive and anxiety symptoms are increasingly common, and problematic alcohol use remains prevalent in college. To expand on prior research on mostly white samples, we surveyed first-year students of color from our predominately white university (Southeastern US) to identify risk factors for mental health symptoms and potentially co-occurring problematic alcohol use. Results showed significant associations between microaggressions and poor campus climate (hypothetical predictors) with depressive, anxiety, somatic symptoms (hypothetical outcomes) that were indirectly linked through perceived stress, poor sleep, and academic burnout (hypothetical mediators). Poor campus climate, academic burnout, and using alcohol to cope were the most relevant to alcohol use disorder symptoms. Results support efforts to address and reduce racial microaggressions and promote a positive campus climate for all.

How does smartphone addiction affect the lives of adolescents socially and academically?: a systematic review study

Today, adolescents tend to accept smartphones more quickly than adults and spend more time with these devices since they are members of the first generation born and living in environments where smartphones and the internet are common. However, when they use smartphones excessively and become addicted to smartphones, this may cause them to suffer from various psychological, emotional, and physical health problems from an early age. Therefore, this study systematically examines the articles on smartphone addiction in adolescents. For this purpose, the related articles were screened using the Web of Science database and 188 studies by the search criteria were subjected to a systematic review. In this sense, methodological tendencies, variables and main findings of the studies included in the present study were examined. This study revealed that the quantitative research method was primarily used. The studies mainly investigated smartphone use, social relations, demographic characteristics, depression, personal characteristics, and sleep variables. Moreover, the studies were primarily conducted in China, and large sample groups were preferred. The factors that triggered the smartphone addiction of adolescents were family problems, and especially females were more addicted to smartphones than males. Moreover, smartphone addiction causes depressive symptoms, sleep problems, and decreased academic achievement in adolescents. Finally, various suggestions were presented based on the findings of this study.

The potential causal relationship between various lifestyles and depression: a univariable and multivariable Mendelian randomization study

Background

Previous studies have shown that lifestyle was associated with depression. Thus, the aim of this study was to examine the causality between multiple lifestyles and depression by Mendelian randomization (MR) analysis.

Methods

The single-nucleotide polymorphisms (SNPs) of depression, alcoholic drinks per week, sleeplessness or insomnia, body mass index (BMI), mood swings, weekly usage of mobile phone in the last 3 months, beef intake, cooked vegetable intake, and "smoking status: never" were acquired from the Integrative Epidemiology Unit Open genome-wide association study database. Causal effects of eight exposure factors and depression were investigated using MR-Egger, weighted median, inverse variance weighted (IVW), simple mode, and weighted mode, and results were primarily referred to IVW. Subsequently, univariable MR (UVMR) analysis was performed on eight exposure factors and depression, separately. In addition, sensitivity analysis, including heterogeneity test, horizontal pleiotropy, and leave-one-out (LOO) methods, was conducted to evaluate the stability of MR results. Furthermore, multivariable MR (MVMR) analysis was carried out.

Results

UVMR analysis revealed that all eight exposure factors were causally associated with depression; alcoholic drinks per week, sleeplessness or insomnia, BMI, mood swings, weekly usage of mobile phone in the last 3 months, and cooked vegetable intake were risk factors, and beef intake and "smoking status: never" were protection factors. Heterogeneity tests revealed no heterogeneity for alcoholic drinks per week, sleeplessness or insomnia, mood swings, weekly usage of mobile phone in the last 3 months, and cooked vegetable intake. Meanwhile, there was no horizontal pleiotropy in UVMR, and LOO analysis verified that univariable analysis results were reliable. Moreover, MVMR analysis indicated that mood swings and weekly usage of mobile phone in the last 3 months were risk factors, and beef intake was a protection factor for depression when multiple factors occurred at the same time.

Conclusion

Alcoholic drinks per week, sleeplessness or insomnia, BMI, mood swings, weekly usage of mobile phone in the last 3 months, and cooked vegetable intake were risk factors, and beef intake and "smoking status: never" were protection factors. In addition, mood swings, weekly usage of mobile phone in the last 3 months, and beef intake had a direct effect on depression when multiple factors occurred simultaneously.

The Mediating Effects of Perceived Family Support in the Relationship Between Anxiety and Problematic Smartphone Use: A Cross-Cultural Validation

ABSTRACT

Problematic smartphone use (PSU) is frequently considered a public health issue, especially in East Asia and Europe. Yet, there is a paucity of research focusing on cultural and familial determinants of PSU. This cross-cultural study aimed to investigate smartphone usage patterns and possible mediating effects of perceived family support (PFS) from a stress-coping perspective. Convenience samples of 790 Chinese and 439 Belgian undergraduates completed an online survey that focused on sociodemographics and psychological variables ( i.e. , anxiety, depression, PFS, and PSU). In both samples, PSU was positively associated with anxiety and depression, and negatively associated with PFS. However, after controlling for sex and age in structural equation models, the consistent mediating effects of PFS were only found between anxiety and PSU in both cultural settings. These findings suggest that psychological interventions that take into account familial factors could be helpful for young people presenting with anxiety and PSU.

The impact of problematic mobile phone use and the number of close friends on depression and anxiety symptoms among college students

Background

Psychological problems often occur in college students, with the most common ones being depression and anxiety symptoms. Exploring the risk factors that influence depression and anxiety symptoms in college students is essential to promote their physical and mental health.

Objective

This study aimed to investigate the independent and interaction effects of problematic mobile phone use (PMPU) and the number of close friends (NCFs) on depression and anxiety symptoms and the comorbidity of these symptoms among college students.

Methods

A cross-sectional survey was conducted in Huainan, Anhui Province, and Suzhou, Jiangsu Province in China from October to December 2022. Data from 7,617 college students were collected. The Patient Health Questionnaire and Generalized Anxiety Disorder-7 were used to evaluate depression and anxiety symptoms. The PMPU data were collected by the Mobile Phone Addiction Type Scale. Multinomial logistic regression models were performed to examine the associations of PMPU and NCFs with depression and anxiety symptoms and their interaction effects.

Results

PMPU and lack of close friends significantly increased the risk of depression and anxiety symptoms and the comorbidity of these symptoms in college students (p < 0.001). In addition, the effects of PMPU and lack of close friends on depression and anxiety symptoms in college students were interactive (p < 0.001). No significant sex differences were found.

Conclusion

PMPU and lack of close friends are important risk factors for depression, anxiety, and the comorbidity of these symptoms in college students in China.

Using structural equation modeling to explore the influences of physical activity, mental health, well-being, and loneliness on Douyin usage at bedtime

Douyin is the Chinese version of TikTok. Using Douyin at bedtime is a very common behavior among Douyin users. However, the reasons why users like using Douyin before sleep are yet unclear. We conducted a cross-section survey from January 1st to January 16th, 2023 to capture data to examine the associations of depression, anxiety, life satisfaction, well-being, loneliness, and physical activity with Douyin usage at bedtime. The mediation role of insomnia in these associations was examined. A total of 3,392 participants who met the inclusion criteria were included for analysis. Our structural equation modeling analysis showed that depression on (β = 0.08; p < 0.05), anxiety (β = 0.06; p < 0.05), and loneliness (β = 0.14; p < 0.05) were directly associated with increased Douyin usage at bedtime, and were also indirectly associated with Douyin usage through insomnia (depression: β = 0.18; p < 0.05, anxiety: β = 0.16; p < 0.05, and loneliness: β = 0.12; p < 0.05). Life satisfaction (β = -0.05; p < 0.05) and well-being (β = -0.20; p < 0.05) were directly associated with decreased Douyin usage at bedtime, and were also indirectly associated with Douyin usage through insomnia (life satisfaction: β = -0.09; p < 0.05, and well-being: β = -0.11; p < 0.05). However, physical activity was unexpectedly associated with increased Douyin usage at bedtime (β = 0.20; p < 0.05). In conclusion, our findings shed new light on the specific reasons why Douyin users like using Douyin at bedtime.

Associations of 24-hour movement behaviors with externalizing and internalizing problems among children and adolescents prescribed with eyeglasses/contact lenses

Background

Emerging evidence points towards the psychological benefits of meeting 24-hour movement behavior (24-HMB) guidelines, but such associations have not yet been investigated among children and adolescents of prescribed eyeglasses/contact lenses. To this end, we examined associations of meeting 24-HMB guidelines with internalizing and externalizing challenges in this population.

Methods

We used data from the 2021 National Survey of Children's Health, a cross-sectional survey including a representative sample of US children and adolescents. Data on movement behaviors (physical activity [PA], sedentary behavior operationalized via screen time [ST], and sleep duration [SL]) and internalizing and externalizing problems were collected through caregiver proxy reports. Caregivers completed questionnaires for 6030 (2799 girls) US children and adolescents of prescribed eyeglasses/contact lenses. Logistic regression analyses were conducted to determine the above-presented associations.

Results

Only 7.1 % of those prescribed eyeglasses/contact lenses met all three 24-HMB guidelines, while they were more likely to meet SL guideline alone (32.1 %) in relation to other independent guidelines including PA (2.5 %) and ST (10.9 %). Compared to not meeting any of the three 24-HMB guidelines, meeting at least two guidelines (25.22 %) was significantly linked to lower odds of internalizing problems and externalizing problems.

Conclusion

Meeting at least two components of the 24-HMB guidelines was beneficially linked to internalizing and externalizing problems. Thus, strategies or intervention programs that focus on meeting 24-HMB guidelines should be implemented among children and adolescents of those prescribed eyeglasses/contact lenses to foster coping with psychological issues.

Relationship between problematic smartphone use and sleep problems: The roles of sleep-related compensatory health beliefs and bedtime procrastination

Objective

Concerns regarding sleep problems in emerging adults and their antecedents, such as problematic smartphone use (PSU), have been growing. This study tested the association between PSU and sleep problems and further investigated the mechanisms of this relationship based on the theory of compensatory health beliefs (CHBs).

Methods

This study included 999 participants (74.87% female) in China, aged 17 to 25 years (M = 21.16; standard deviation = 1.60), who voluntarily filled in an anonymous survey.

Results

The findings showed positive correlations between sleep problems and PSU, sleep-related CHBs, and bedtime procrastination (rs = .25-.52, p < .001). Furthermore, the positive link between PSU and sleep problems was mediated by bedtime procrastination alone (β=.21, 95% confidence interval (CI) [.17, .26]) or a serial path of sleep-related CHBs and bedtime procrastination (β=.04, 95% CI [.02, .05]).

Conclusion

This study provides a new perspective to understand the internal mechanism underlying the PSU-sleep problem link. Interventions for sleep disorders ought to consider the theoretical guidelines of the CHBs model to reduce the risk of bedtime procrastination and sleep disorders in emerging adults.

Taking a Break: The Effects of Partaking in a Two-Week Social Media Digital Detox on Problematic Smartphone and Social Media Use, and Other Health-Related Outcomes among Young Adults

Despite their increasing popularity, especially among young adults, there is a dearth of research examining the effectiveness of digital detoxes focused on restricting or limiting social media use. As such, the purpose of this exploratory study was to create and carry out a social media digital detox among young adults and evaluate its effectiveness with regards to smartphone and social media addiction, as well as several health-related outcomes. Additionally, the study also sought to obtain an understanding of participants' experiences and perceptions regarding the digital detox via semi-structured exit interviews in order to improve and maximize the effectiveness of future social media digital detox interventions. Thirty-one young adults completed a two-week social media digital detox (preceded by a two-week baseline period and followed up by a two-week follow-up period), whereby their social media use was limited to 30 min per day. A series of one-way repeated measures analyses of variance revealed that a two-week social media detox improved smartphone and social media addiction, as well as sleep, satisfaction with life, stress, perceived wellness, and supportive relationships. Thematic analysis of exit interviews also revealed eight themes: feelings, effort to detox, adjustment period, the Goldilocks effect, screen to screen, post-detox binge, progress not perfection, and words of wisdom, all of which provide contextualization of the quantitative findings and valuable insights for future detoxes. In conclusion, the findings of this exploratory study provide initial support for the use of social media digital detoxes, suggesting that limiting usage can have beneficial effects with regards to smartphone and social media addiction, as well as many other health-related outcomes.

Association between smartphone usage and health outcomes of adolescents: A propensity analysis using the Korea youth risk behavior survey

OBJECTIVES

We aimed to investigate the association between smartphone use and adverse behavioral health outcomes using nationwide Korea Youth Risk Behavior Web-based Survey data for 2017 and 2020.

METHODS

The 2020 data (N = 54,809) were used to analyze the relationships between daily smartphone usage time (non-user, 0-2 h [hour], 2-4 h, 4-6 h, 6-8 h, and > 8 h), and adverse health outcomes (stress, sleep, depression, suicide, substance use, and smartphone overdependence). A 1:1 propensity score matching (PSM) was used to control for confounding variables.

RESULTS

A total of 40,998 adolescents with < 4 h/day and > 4 h/day of usage were included. Adolescents' mean smartphone usage time in 2020 increased compared to that in 2017 (weighted % of > 2 h/day; 64.3% vs. 85.7%). The curvilinear relationships between smartphone usage time and adverse health outcomes were prominent after > 4 h/day. Adolescents using smartphones 2-4 h/day showed no increased adverse health outcomes compared to non-users, except for smartphone overdependence. Using a smartphone > 4 h/day was significantly associated with stress perception (1.16; 1.11-1.22), suicidal ideation (1.22; 1.13-1.31), and substance use (alcohol, 1.66; 1.57-1.75) after PSM.

CONCLUSIONS

Our study demonstrated the curvilinear relationship between smartphone usage time and adverse health outcomes in adolescents. Our findings can help establish smartphone usage guidelines for adolescents.

Depression and stress are associated with latent profiles of problematic social media use among college students

Background

The previous literature has demonstrated that depression, anxiety, and stress are significant predictors of problematic social media use. However, the manifestation of problematic social media use varies, and the predictive relationship between depression, anxiety, and stress with different subgroups of problematic social media use remains unclear. The aim of this research was to evaluate latent subgroups of problematic social media use among college students and to investigate the impact of depression, anxiety, and stress on these latent subgroups.

Methods

A survey was carried out among college students in China using a cross-sectional approach. A total of 955 participants were included, with a mean age of 19.50 ± 1.22 years. Participants completed questionnaires containing the Bergen Social Media Addiction Scale (BSMAS) and the Depression, Anxiety, and Stress Scale-21 (DASS-21). The study employed latent profile analysis (LPA) to investigate latent subgroups of Chinese college students with problematic social media use, and a robust three-step approach was used to develop predictive regression mixed models of depression, anxiety, and stress on latent subgroups.

Results

Problematic social media use of Chinese college students can be categorized into four latent subgroups, namely, the high-risk group, the moderate-risk with pleasure group, the moderate-risk with compulsion group, and the low-risk group. The regression model showed that there was a significant difference between the high-risk group and the low-risk group on the stress scale. There was a significant difference between the moderate-risk with pleasure group and the moderate-risk with compulsion group on the depression scale.

Conclusion

Problematic social media use is heterogeneous, with depression and stress being potentially key factors influencing problematic social media use. Depression would make college students more likely to be moderate-risk with compulsion problematic social media users than moderate-risk with pleasure problematic social media users, and stress would make college students more likely to be high-risk problematic social media users than low-risk problematic social media users.

The Dark Side of Multimedia Devices: Negative Consequences for Socioemotional Development in Early Childhood

There is growing concern about the relationship between screen use by young children and negative effects on their development, as children with developmental and socioemotional impairments tend to have difficulties in their relationships and increased academic problems. The aim of our study was to analyse the relationship between the use of multimedia devices and paediatric symptoms in children below 5 years old. Data from 534 Portuguese parents of children aged from 18 to 57 months were collected via a self-report questionnaire. Children's daily exposure to multimedia devices was nearly 2 h per day. Paediatric symptoms were positively associated with watching television and screen time and negatively associated with parents' working hours. Touchscreen use was more frequent among girls and older children. Parents' working hours comprised the most significant predictor of paediatric symptoms. Our findings reinforce past findings on the adverse links between the use of multimedia devices and paediatric symptoms and also highlight the influence of other variables like the child's age and gender, as well as parental factors. The need to both create a more comprehensive framework regarding the long-term effects of multimedia device use and delineate effective strategies for prevention and intervention with parents and children is discussed.

Effects of internet addiction and academic satisfaction on mental health among college students after the lifting of COVID-19 restrictions in China

Background

Internet addiction (IA) among students, worsened by Coronavirus disease 2019 (COVID-19) pandemic, has become a social problem with the digitalization of school learning and many aspects of daily life. However, few studies on IA have been conducted among students after the lifting of COVID-19 restrictions in China.

Method

This large-sample, cross-sectional, online survey was conducted to explore the characteristics of IA and the association among IA, academic satisfaction, and mental health problems from December 14, 2022 to February 28, 2023 in Sichuan, China. All participants (N = 22,605) were students in colleges and universities, recruited via their teachers and professors.

Results

Of all the participants, 14,921 (66.0%) participants had IA. Participants with IA were more likely to have depression symptom, anxiety symptom, insomnia, and lifetime suicidal ideation. In addition, participants with severe IA had significantly higher rates of mental health problems (e.g., depression, anxiety, insomnia, and suicidal ideation) than those with mild IA. A significant IA-by-academic satisfactory-interaction on mental health was identified: participants with higher level of IA showed particularly severe symptom of depression, anxiety and insomnia when affected by low satisfactory of academy (p < 0.001).

Conclusion

This study reveals that IA has a significantly negative impact on mental health among college students after the lifting of COVID-19 restrictions in China. IA and academic satisfaction have interactive impacts on mental health problems among students. Further educational and health policies and psychosocial interventions should be developed to reduce IA and enhance academic satisfaction for improving students' mental health.

Excessive Smartphone Use is Associated with Depression, Anxiety, Stress, and Sleep Quality of Australian Adults

Problematic smartphone use has been associated with poorer mental health in different population groups; however, little is known about how levels of smartphone use were associated with mental health outcomes of adults in Australia. Using data from a cross-sectional survey among Australian adults aged 18-59 years (n = 655, Mean = 24.55 [SD = 5.59] years; 66% female), the current study aimed to examine association between problematic smartphone use and different psychological outcomes. Participants completed measures of problematic smartphone use with Mobile Phone Problem Use Scale (MPPUS), mental health outcomes with Depression, Anxiety, and Stress Scale (DASS-21), and Pittsburgh Sleep Quality Index (PSQI), in addition to some socio-demographics. Smartphone use was categorised into three groups: low-moderate, moderate-high, and high-severe. A total of 160 adults (24.4%) reported high-severe smartphone use. Multivariable linear regression analyses showed that smartphone use was inversely associated with psychological outcomes in a dose-dependent manner with high-severe smartphone uses having the most adverse effects. Compared to low-moderate use, average depression score was 3.5 points higher for moderate-high smartphone use (β = 3.51, 95% CI: 1.63-5.40) and 6.9 points higher for high-severe smartphone use (β = 6.91, 95% CI: 4.74-9.07). Similarly, average stress score was 3.4 points higher for moderate-high smartphone use (β = 3.40, 95% CI: 1.75-5.06) and 7.0 points higher for high-severe smartphone use (β = 7.02, 95% CI: 5.11-8.93). Similar association estimates were found for anxiety and sleep quality. Reducing smartphone use has the potential to optimise depression, anxiety, stress, and sleep quality; however, longitudinal research is warranted to establish directionality of the association.

Nighttime sleep quality & daytime sleepiness across inpatient psychiatric treatment is associated with clinical outcomes

Prior research has demonstrated the strong link between sleep disturbance and mental health outcomes, including the importance of examining nighttime sleep quality and daytime sleepiness as separate constructs in relation to mental health outcomes. As such, the current study examined patients' self-reported nighttime sleep quality and daytime sleepiness trajectories over the course of inpatient treatment and how these trajectories related to treatment outcomes. Participants were 1,500 adults who voluntarily admitted to an inpatient psychiatric hospital. Mental health outcomes measured were emotion regulation problems, anxiety severity, depression severity, nightmare severity, and suicide risk. Group-based trajectory modeling was used to determine nighttime sleep quality and daytime sleepiness trajectory groups. Multivariate analyses of covariance (MANCOVA) were used to determine between group differences on mental health outcomes. Patients fit into distinct groups based on their trajectories of nighttime sleep quality and daytime sleepiness across inpatient psychiatric treatment: Low, Moderate, and High. Individuals with greater nighttime sleep disturbance and greater daytime sleepiness throughout treatment (High group) demonstrated significantly increased suicide risk, higher nightmare severity, more anxiety, more depression, and more emotion regulation difficulties at discharge. Results suggest an important connection exists between nighttime sleep quality and excessive daytime sleepiness and mental health outcomes for inpatient psychiatry.

Adolescents' interactive electronic device use, sleep and mental health: a systematic review of prospective studies

Optimal sleep, both in terms of duration and quality, is important for adolescent health. However, young people's sleeping habits have worsened over recent years. Access to and use of interactive electronic devices (e.g., smartphones, tablets, portable gaming devices) and social media have become deep-rooted elements of adolescents' lives and are associated with poor sleep. Additionally, there is evidence of increases in poor mental health and well-being disorders in adolescents; further linked to poor sleep. This review aimed to summarise the longitudinal and experimental evidence of the impact of device use on adolescents' sleep and subsequent mental health. Nine electronic bibliographical databases were searched for this narrative systematic review in October 2022. Of 5779 identified unique records, 28 studies were selected for inclusion. A total of 26 studies examined the direct link between device use and sleep outcomes, and four reported the indirect link between device use and mental health, with sleep as a mediator. The methodological quality of the studies was generally poor. Results demonstrated that adverse implications of device use (i.e., overuse, problematic use, telepressure, and cyber-victimisation) impacted sleep quality and duration; however, relationships with other types of device use were unclear. A small but consistent body of evidence showed sleep mediates the relationship between device use and mental health and well-being in adolescents. Increasing our understanding of the complexities of device use, sleep, and mental health in adolescents are important contributions to the development of future interventions and guidelines to prevent or increase resilience to cyber-bullying and ensure adequate sleep.

Healthy Lifestyle Beliefs Scale: Psychometric properties in Portuguese pregnant women

Healthy lifestyle during pregnancy influences the pregnant woman's and child's physical and mental health, impacting perinatal outcomes. Healthy lifestyle beliefs are predictors of lifestyle behaviors, requiring a valid and reliable instrument to assess them during prenatal care. The 16-item Healthy Lifestyle Belief Scale (HLBS) measures a person's beliefs about their ability to live a healthy lifestyle. This study aimed to examine the psychometric properties of a Portuguese version of the HLBS among pregnant women. A methodological study was developed in two phases: cross-cultural adaptation and evaluation of the psychometric properties of the Portuguese version in a nonprobability sample of 192 Portuguese pregnant women. The exploratory factor analysis suggested three subscales, which explained 53.8% of the total variance. Cronbach's α was 0.83 for the overall scale and for the subscales ranged between 0.71 and 0.81. The HLBS is a reliable and valid instrument to assist health professionals in assessing the ability of Portuguese pregnant women to adopt a healthy lifestyle. Assessing healthy lifestyle beliefs potentially contributes to the development of health behavior interventions in pregnant women and consequently improves perinatal outcomes through evidence-based practices.

The relationship between smartphone addiction and sleep among medical students: A systematic review and meta-analysis

OBJECTIVES

This systematic review aimed to evaluate the association between smartphone addiction and sleep in medical students. The secondary outcomes included the prevalence of smartphone addiction, duration and purpose of its use, prevalence of poor sleep, duration and quality of sleep.

METHODS

The authors searched PubMed, Cochrane Library, Embase, PsycINFO and CINAHL databases, from inception of each database to October 2022. Quantitative studies in the English language on smartphone addiction and sleep in students studying Western Medicine were included. The Rayyan application was used for title-abstract screening, and Joanna Briggs Institute (JBI) critical appraisal checklist to assess the risk of bias. Heterogeneity tests and meta-synthesis of data were performed using the meta-package in R software. Data on the activities used on the smartphone was synthesized qualitatively.

RESULTS

A total of 298 abstracts were initially assessed for inclusion eligibility: 16 of them were eventually appraised, covering 9466 medical students comprising 3781 (39.9%) males and 5161 (54.5%) females. Meta-correlation between the Smartphone Addiction Scale Short Version (SAS-SV) and Pittsburgh Sleep Quality Index (PSQI) was 0.30 (95%CI = 0.24-0.36), and 0.27 (95% CI = 0.18-0.36) for SAS-SV and sleep duration. The meta-analytic estimation of smartphone addiction prevalence was 39% (95%CI = 0.30-0.50), and score using SAS-SV was 31.11 (95%CI = 29.50-32.72). The mean duration of smartphone daily used was 4.90 hours (95%CI = 3.72-6.08). The meta-analytic estimation on prevalence of poor sleep was 57% (95%CI = 0.48-0.66), and the meta-mean of PSQI and duration of sleep was 5.95 (95%CI = 4.90-7.00) and 5.62h (95%CI = 4.87-6.36) respectively. Medical students used their smartphones mostly for text messaging, followed by photo-sharing or social networking. Its usage for medical education remains unclear.

CONCLUSION

The prevalence of poor sleep and smartphone addiction in medical students was 57% and 39% respectively, with a correlation index of 0.30. Medical students commonly used the smartphone for text-messaging, photo-sharing or social networking, averaging 4.9 hours daily.

Smartphone addiction, sleep quality, depression, anxiety, and stress among medical students

Introduction

Studies consistently link excessive smartphone use to poor sleep quality, depression, anxiety, and stress. This study specifically aimed to investigate these associations among medical students in Belgrade and Nis (Central Serbia).

Materials and methods

The cross-sectional study included a sample of 761 students, who were selected from both the Faculties of Medicine at the University of Belgrade and the University of Nis. Questionnaires, including the International Physical Activity Questionnaire - Short Form (IPAQ-SF), Smartphone Addiction Scale - Short Version (SAS-SV), the Pittsburgh Sleep Quality Index (PSQI), and the Depression, Anxiety, and Stress Scale - 21 items (DASS-21), were completed by the participants. Statistical analysis techniques, such as the Chi-square test, student's t-test, and logistic regression, were employed to examine the relationship between smartphone addiction, physical activity, sleep quality, depression, anxiety, and stress.

Results

The findings indicated a prevalence of smartphone addiction among medical students at 21.7%, with rates of 22.9% among males and 21.1% among females. Females exhibited significantly higher scores on the SAS-SV scale compared to males (p = 0.032). Univariate logistic regression analysis revealed significant associations between smartphone addiction and spending over 4 h daily on smartphones (OR = 2.39; p < 0.001), poor sleep quality (OR = 1.65; p = 0,005), as well as elevated levels of stress (OR = 1.75; p = 0.003), anxiety (OR = 2.04; p < 0.001), and depression (OR = 2.29; p < 0.001). Multivariate regression analysis identified spending more than 4 h daily on smartphones (OR = 2.39; p < 0.001) and increased levels of depression (OR = 2.51; p < 0.001) as independent significant factors associated with smartphone addiction.

Conclusion

This study sheds light on the prevalence of smartphone addiction among medical students, with spending excessive time on smartphones and higher levels of depression standing out as significant factors. Future research should delve into the underlying mechanisms and causal relationships between smartphone addiction and these psychosocial factors. Understanding these connections will aid in developing effective interventions and strategies to tackle this growing public health concern.

Analyzing the Caregivers' behavioral patterns in managing their young Children's smartphone use in South Korea

PURPOSE

As the age of exposure to screen media has decreased, problematic smartphone usage is becoming more prevalent among younger children. As children's smartphone use is often determined by their caregivers, understanding their motivations for allowing young children to use smartphones is crucial. This study aimed to explore the behavioral patterns of main caregivers in South Korea related to their young children's smartphone usage and the underlying motivations.

DESIGN AND METHODS

Semi-structured phone interviews were conducted, audio-recorded, transcribed, and analyzed using grounded theory methodology.

RESULTS

Fifteen participants from South Korea, identifying as main caregivers of young children under six years of age and expressing concerns about their children's smartphone usage patterns, were recruited. A core category describing caregiver' behaviors of managing children to use smartphones was identified as "Maintaining a vicious cycle to seek comfort in parenting." Their behavioral patterns appeared to be cyclical, alternating between permitting and restricting their children's smartphone use. They permitted their children to use smartphones to decrease their parenting burdens. However, this led to discomfort as they perceived the negative impacts of smartphones on their children and felt guilty. Consequently, they limited smartphone use, which increased their parental burden again.

CONCLUSION

Parental education and policy efforts are essential to prevent risks associated with children's problematic smartphone usage.

PRACTICE IMPLICATIONS

During regular health checkups for young children, nurses should assess potential smartphone overuse and related problems, considering caregiver motivations.

Nomophobia among university students in five Arab countries in the Middle East: prevalence and risk factors

BACKGROUND

Excessive use of mobile phones leading to development of symptoms suggestive of dependence syndrome with teenagers are far more likely to become dependent on mobile phones as compared to adults. COVID-19 pandemic has had an impact on the mental health of several groups in society, especially university students. This study aimed to explore the prevalence of mobile phone dependence among university students and its associated factors.

METHODS

Between September 2021 and January 2022, a cross-sectional study was conducted at universities in Jordan, Lebanon, Egypt, Bahrain, and Saudi Arabia utilizing an online and paper-based self-administered questionnaire. We employed a previously developed questionnaire by Aggarwal et al. RESULTS: A total of 5,720 university students were involved in this study (Egypt = 2813, Saudi Arabia = 1509, Jordan = 766, Lebanon = 432, and Bahrain = 200). The mean estimated daily time spent on using mobile phone was 186.4 (94.4) minutes. The highest mobile dependence score was observed for the university students from Egypt and the lowest mobile dependence score was observed for the university students from Lebanon. The most common dependence criteria across the study sample was impaired control (55.6%) and the least common one was harmful use (25.1%). Females and those reported having anxiety problem or using a treatment for anxiety were at higher risk of developing mobile phone dependence by 15% and 75%, respectively.

CONCLUSION

Mobile phone dependence is common among university students in Arab countries in the Middle East region. Future studies exploring useful interventions to decrease mobile phone dependence are warranted.

Associations of Death Anxiety, Inclusion of Smartphone in the Self, and Affiliation Motivation with Smartphone use and Addiction: A Multiple Mediation Study

This study is the first to apply terror management theory to understanding smartphone addiction by examining the potential indirect effect of death anxiety on smartphone addiction via inclusion of smartphone in the self (i.e., self-expansion), affiliation motivation (the desire to connect with others) for emotional support, and smartphone use. The sample consisted of 1483 Chinese university students between the ages of 18 and 24 (M = 19.14, SD = 1.03) who voluntarily completed an anonymous questionnaire survey. As hypothesized, death anxiety, inclusion of smartphone in the self, affiliation motivation, and smartphone use were directly, positively correlated with smartphone addiction. In addition, death anxiety exerted significant indirect effects via various pathways, including (i) affiliation motivation for emotional support and smartphone use and (ii) inclusion of smartphone in the self and smartphone use. Findings suggest that effective interventions for smartphone addiction should include targeting death anxiety, self-expansion, and affiliation need frustration.

Burnout Syndrome and Sleep Quality in Basic Education Teachers in Mexico

Burnout syndrome (BS) is the result of chronic stress in the workplace. Moreover, chronic stress can affect sleep. A unidirectional relationship has been established between burnout and sleep, and it is known that white-collar workers with burnout syndrome have sleep fragmentation and marked daytime sleepiness.

OBJECTIVE

The aim of this study was to assess the relationships between burnout and sleep quality in elementary school teachers in Mexico.

METHODS

We collected data from more than 400 teachers who completed tests. Correlation analyses controlled for anxiety and depression, and Poisson logistic regression analyses were performed to examine the relationships of burnout with sleep quality, depression, and anxiety.

RESULTS

There was a significant correlation between burnout syndrome (mainly in the dimension of emotional exhaustion) and sleep disturbances; significant correlations were also observed with other burnout, depression, and anxiety dimensions. The strength of the correlations decreased after controlling for depression and anxiety.

CONCLUSIONS

The symptoms of burnout syndrome in teachers can overlap with sleep disorders, so it is necessary to make a differential diagnosis to differentiate burnout syndrome from depression and anxiety, among others.

Exploring associations between eHealth literacy, cyberchondria, online health information seeking and sleep quality among university students: A cross-section study

Background

University students are increasingly inclined to use the Internet for health-related purposes, and their sleep problems are becoming increasingly prominent. Currently, the relationship between sleep quality and online health-related searches is poorly understood. The aim of this study was to exam the associations of sleep quality, Internet use, eHealth literacy, online health information seeking and cyberchondria in the sample of Chinese university students.

Methods

A total of 2744 students completed self-reported questionnaires online containing the Pittsburgh Sleep Quality Index (PSQI), eHealth Literacy Scale, Online Health Information Seeking, Cyberchondria Severity Scale (CSS) and questions regarding sleep duration, Internet use, health status, and demographic information.

Results

The prevalence of poor sleep quality (PSQI >7) among the university students was 19.9% and 15.6% students slept less than 7 h per day. As time spent on online daily and playing phone before bed increased, the prevalence of sleep disturbance gained. Sleep disturbance was significantly associated with cyberchondria (OR = 1.545, p = 0.001), health status [good (OR = 0.625, p = 0.039), poor (OR = 3.128, p = 0.010), and fair (OR = 1.932, p = 0.001)]. Sleep quality, online health information seeking and eHealth literacy positively influenced with cyberchondria. Compared to 7-8 h sleep duration, online health information seeking (OR = 0.750, p = 0.012) was significantly associated with ≥8 h sleep duration.

Conclusion

Our findings highlighted poor health status, too much time spent on online daily and high cyberchondria level might decrease sleep quality in the sample of Chinese university students, further suggesting the need for developing interventions based on online health-related searches for improving sleep quality among university students.

Association of smartphone use with abnormal social jetlag among adolescents in Korea before and after COVID-19

PURPOSE

This study aimed to use social jetlag to determine how smartphone overuse by adolescents before and after the COVID-19 pandemic might be associated with their circadian rhythm.

METHODS

We used 2017 and 2020 Korea Youth Risk Behavior web-based Survey data and conducted a survey analysis on 100,976 adolescents. The dependent variable was abnormal social jetlag. Based on the times recorded by the survey, we calculated the weekday midpoint and weekend sleep time. The main independent variable was smartphone usage time (<2h/day, 2-3.9 h/day, 4-5.9 h/day, and ≥ 6 h/day). Multiple logistic regression and relative excess risk due to interaction (RERI) were performed.

RESULTS

Abnormal social jetlag was most prevalent in male and female adolescents who used smartphones ≥ 6 h/day (adjusted odds ratio [AOR] = 2.60, 95 % confidence interval [CI] = 2.47-2.74). The longer the smartphone usage time, the higher the association with abnormal social jetlag. This association was more prominent in female adolescents. The additive interaction between longer smartphone usage time and post-COVID-19 year was statistically significant (total: RERI = 0.92, 95 % CI = 0.90-0.95; males: RERI = 0.83, 95 % CI = 0.80-0.87; females: RERI = 1.13, 95 % CI = 1.08-1.18).

CONCLUSION

Our results clearly indicated that increased smartphone usage time tended to result in greater social jetlag, an association that was more pronounced in female. Moreover, the COVID-19 pandemic significantly strengthened this relationship. Further research is needed regarding the proper use of smartphones to ensure good sleep-in adolescents after the COVID-19 pandemic.

Effect of Social Media Addiction on Executive Functioning Among Young Adults: The Mediating Roles of Emotional Disturbance and Sleep Quality

Introduction

The increased research examining social media addiction with its negative consequences has raised concerns over the past decade. However, little research has investigated the association between social media addiction and executive functioning as well as the mechanisms underlying this relationship.

Methods

Using a survey, the present study examined the association between social media addiction and executive functioning via emotional disturbance and sleep quality among 1051 Chinese young adults, aged 18 to 27 years old (M=21.02 years [SD=1.89]; 34.41% male).

Results

The results showed that social media addiction had a significant negative association with executive functioning but positive associations with emotional disturbance and poor sleep quality. Structural equation modeling suggested that there was a significant direct effect between social media addiction and executive functioning. Indirect effects via two paths (ie, emotional disturbance alone, and both emotional disturbance and sleep quality) were also statistically significant.

Discussion

The findings indicate that both emotional disturbance and poor sleep quality are risk-enhancing mediators in the relationship between social media addiction and executive functioning. Intervention programs (eg, emotional regulation strategies) should be considered to reduce the adverse effects of social media addiction on cognitive impairment among young adults.

Factors related to self-reported smartphone addiction among Brazilian adolescents in the face of the COVID-19 pandemic: A mixed-method study

PROBLEM

(1) To identify the factors associated with self-reported smartphone addiction (SRSA) among adolescents in the face of the COVID-19 pandemic; and (2) to analyze the adolescents' perception of these factors related to SRSA.

METHODS

A mixed-method study with a sequential explanatory design, carried out with Brazilian adolescents aged between 15 and 18 years old.

FINDINGS

The prevalence of SRSA was 56.37%, and the variables that remained in the final model of association were as follows: public schools; longer smartphone use during the COVID-19 pandemic; number of hours connected to the smartphone; preference for sleeping during the day; use of the device immediately after waking up, smartphone use after 9 p.m., amount of sleep less than 8 h a day; and smartphone use during meals. Sequentially, after analyzing the data obtained in the focus groups, it was possible to describe how adolescents perceive the intensification of smartphone uses, its repercussions, and activities carried out on it during the pandemic.

CONCLUSIONS

The pandemic had repercussions on the behavior established with the smartphone, such as time and period of use, being associated with the SRSA. In addition, it was found that such conditions also affect the adolescents' sleep quality, diet, and studies.

The role of objectively recorded smartphone usage and personality traits in sleep quality

Purpose

The proliferation of smartphones, accompanied by internet facilities, has contributed to a decrease in sleep quality over the last decades. It has been revealed that excessive internet usage impacts the physical and mental health of smartphone users, while personality traits (PT) could play a role in developing internet addictions and preventing their negative effects. The objective of the present study is to assess the role of PT and smartphone usage in sleep quality.

Method

The sample comprised 269 participants, 55% females, within the age range of 15-64 years. We objectively collected one-week smartphone apps usage data from the participants. They also responded to demographics and the PT (BFI-10) questionnaires. The usage data of smartphone apps were processed to calculate smartphone usage amounts and sleep variables, including sleep duration, sleep distraction, sleeping time, and wake-up time. The data were analyzed using the correlation coefficient and regression analyses.

Results

The results indicated that more smartphone usage was associated with reduced sleep duration, increased sleep distraction, and later bedtime. Furthermore, smartphone users with the conscientiousness trait had a longer sleep duration, earlier sleeping time, less sleep distraction, and earlier wakeablity. Sleep distraction was positively associated with openness. Extraversion and neuroticism were found to be positive predictors of early wakeablity. Neuroticism had a negative association with early wakeablity. Finally, the implications of the study have been discussed.

Conclusion

Our study's usage of data that was acquired objectively has strong methodological qualities. The present study is the first to contribute to the literature on the role of PT and objectively measured smartphone usage in the prediction of sleep quality. We found that smartphone use and sleep variables are associated with PT. Other scholars can use our dataset for benchmarking and future comparisons.