Prevalence of smartphone addiction among Asian medical students: A meta-analysis of multinational observational studies

Trends and Influencing Factors in Problematic Smartphone Use Prevalence (2012-2022): A Systematic Review and Meta-Analysis

Given that problematic smartphone use (PSU) has been researched for a long time, it becomes necessary to assess how the trends of PSU prevalence have evolved over time. In total, 106 articles from 2012 to 2022 with 109 studies covering 97,748 individuals were included in this systematic review and meta-analysis. The estimation of the global pooled PSU prevalence was 37.1% (95% confidence interval, 33.5 - 40.8%) and the PSU prevalence is growing over time in total. Although the PSU prevalence exhibited wide variation between regions and measurement scales, the increasing trend remained. In addition, the regression slope of the PSU prevalence trend in males was higher than that in females. Males initially had a lower prevalence of PSU than females, but this steadily changed over time until it was greater in males than in females. Moreover, the prevalence of PSU showed an increasing trend across all age groups, with a faster growth rate in the older age group. Considering the aforementioned results, it's necessary to implement proper interventions to do with this phenomenon. In addition, considering the differences in prevalence brought by regions, and measurement scales, in practice and research, we should not only take into account the disparities of PSU between countries or cultures, but also to concern about establishing unified standard and measurement tools to confirm it.

Validation of the Chinese version of the Smartphone Distraction Scale

The Smartphone Distraction Scale (SDS) is a novel assessment scale for smartphone distraction; it comprises 16 items that cover attention impulsiveness, online vigilance, multitasking, and emotion regulation. This study aimed to investigate the validity and reliability of the SDS in college students in China. After translating and culturally adapting the original version of the SDS into Chinese, the scale was tested on a sample of 1302 college students.The validity and reliability were assessed utilizing SPSS 25.0, AMOS 25.0 and Mplus 8.3. Parallel analysis, Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) were performed for the validity analysis. Criterion-related validity for the SDS was tested by correlation analysis with the mobile phone addiction scale (MPAI). The reliability analysis was tested by Cronbach's alpha coefficients and intraclass correlation coefficients (ICC). EFA and parallel analysis revealed a three-factor structure. The EFA identified factor loadings on three factors (14 items), explaining a total variance of 60.73 %. The CFA model fit was good (χ2/df = 4.644, RMSEA = 0.047, GFI = 0.930, CFI = 0.955, SRMR = 0.047), and the multigroup confirmatory factor analysis indicated measurement invariance for gender. Both convergent and discriminant validity were established. The criterion-related validity was established based on a significant correlation (r = 0.758) with the MPAI. The Cronbach's alpha coefficient was 0.916, and the split-half reliability was 0.769, demonstrating a satisfactory internal consistency. The score of ICC was 0.907, demonstrating the stability of the SDS. Based on these data, the Chinese version of the SDS demonstrated satisfactory validity and reliability in a sample of college students.

The effects of mobile phone dependence on athletic performance and its mechanisms

Mobile phone dependence (also known as internet dependence, MPD), defined as a problematic behavior characterized by excessive use or intermittent craving to use a mobile phone, results in various social, behavioral, and affective problems in daily life. In sports, MPD is directly related to the physical and mental health and sports performance of athletes. The individual and environmental factors, neurobiological mechanisms and theoretical models of MPD affecting athletic performance were analyzed by reviewing previous studies, aiming to construct effective training and development protocols to prevent and control the occurrence of MPD in athletes. At present, athletic performance can be affected by MPD through individual factors and environmental factors. The neurobiological mechanisms between the two are based on the brain reward system and microwave radiation from mobile phones, with athletic performance being restricted by alterations in the corresponding brain regions. Relevant theoretical models mainly include the social cognitive model of self-regulation and the integrative model of self-control, which explain the interrelationship between MPD and athletic performance from the perspectives of athletes' self-regulation and self-control, respectively. As an emerging phenomenon, the influence pathways and mechanisms by which MPD affects athletic performance need to be further investigated. A longitudinal perspective should be adopted to trace the dynamic impact relationship between the two, and developing relevant theoretical frameworks from an interdisciplinary research perspective should be valuable for providing theoretical support for coaches and sports administrators to formulate scientific training protocols and thus improve the mental health of athletes.

Factors Affecting Sleep Quality among University Medical and Nursing Students: A Study in Two Countries in the Mediterranean Region

Poor sleep quality, a global public health concern, poses a significant burden on individuals, particularly health care university students facing intense academic stress. A three-center cross-sectional study was conducted at the Higher Institute of Nursing and Health Sciences in Tetouan (Morocco), Faculty of Medicine in Tangier (Morocco) and Faculty of Nursing in Valencia (Spain). We collected various data using a sociodemographic questionnaire, the Pittsburgh sleep quality questionnaire, the international physical activity questionnaire (IPAQ) and the smartphone addiction questionnaire short-version (SAS-SV). A total of 1210 students were included in our study (mean age 20.4 years, 67.2% female, nursing students (66.2%) and medical students (33.8%), 76.1% students from Morocco and 33.9% from Spain). Analysis revealed a higher prevalence of poor sleep quality among Moroccans students compared to Spanish ones (p < 0.001), that nursing students showed less favorable sleep quality than medical students (p < 0.011) and that living with a chronic disease was linked to less favorable sleep quality (p < 0.001). Lastly, intense or weak physical activity and smartphone addiction were correlated with poor sleep quality (p < 0.001). In the multivariate analysis, an association persisted between poor sleep quality and factors such as the country of study (Odds ratio (OR): 6.25 [95% Confidence Interval (CI): 4.34-9.09]), involvement in nursing studies (OR: 3.50 [95% CI: 2.36-5.27]), and the presence of chronic diseases (OR: 2.70 [95% CI: 1.72-4.16]), (p < 0.01 each). Our findings highlight the multifaceted factors affecting sleep quality in young university students. The implications underscore the imperative of interventions tailored to this demographic group.

The relationship between mobile phone addiction and non-suicidal self-injury: Findings from six universities in Shaanxi province, China

BACKGROUND

Although the development and application of mobile phones have changed various aspects of people's lives, excessive use of mobile phones has also raised physical and mental health concerns. However, the relationship between mobile phone addiction (MPA) and non-suicidal self-injury (NSSI) is unclear.

METHODS

A cross-sectional study was conducted (2022) among students from six universities to assess the relationship between MPA and NSSI. A Mobile Phone Addiction Tendency Scale (MPATS) was used to assess MPA, while NSSI was assessed via The Ottawa Self-Injury Inventory. Binary logistic regression models were used to assess the relationship between MPA and NSSI.

RESULTS

A total of 18,723 college students (6531 males [34.9 %] and 12,192 females [65.1 %]) were included in the final analyses. The prevalence of NSSI during the past 12 months was 6.5 %. Furthermore, 5553 participants (29.7 %) met the MPA criteria (MPATS score ≥ 48), and the average MPATS score was 39.5 ± 13.0. MPA was associated with increased odds of NSSI after adjusting for socio-demographic characteristics, health-related characteristics, and relevant psychosocial variables (OR, 1.29; 95 % CI, 1.13-1.46). Moreover, gender did not affect the association of MPA and MPATS score with NSSI (P for interaction>0.05). The restricted cubic splines regression showed that a monotonically increasing risk of NSSI was associated with increasing MPATS score (P for non-linearity = 0.474).

CONCLUSIONS

MPA is associated with increased odds of NSSI among college students, indicating that early examination, prevention, and intervention for MPA may prevent and control NSSI.

Network analysis of depression and anxiety symptoms and their associations with mobile phone addiction among Chinese medical students during the late stage of the COVID-19 pandemic

Network analysis provides a novel approach to discovering associations between mental disorders at the symptom level. This study aimed to examine the characteristics of the network of depression and anxiety symptoms and their associations with mobile phone addiction (MPA) among Chinese medical students during the late stage of the COVID-19 pandemic. A total of 553 medical students were included. Depression and anxiety symptoms and MPA were measured by the nine-item Patient Health Questionnaire (PHQ-9), the seven-item Generalized Anxiety Disorder Scale (GAD-7), and the Mobile Phone Addiction Index (MPAI), respectively. Central and bridge symptoms were identified with centrality indices and bridge centrality indices. Network stability was examined using the case-dropping procedure. "Uncontrollable worry", "restlessness" and "nervousness" were the central symptoms in the depression and anxiety network. "Restlessness" and "motor" were the most central bridge symptoms linking depression and anxiety. "Concentration", "anhedonia" and "sleep" were most strongly associated with MPA. "Uncontrollable worry", "restlessness", "nervousness," and "motor" may be the symptoms for interventions to target in medical students with comorbid depression and anxiety. From a network perspective, depressive symptoms may be more important than anxiety symptoms in medical students with MPA.

The relationship of smartphone addiction with depression, anxiety, and stress among medical students

Introduction

An increasing amount of research has shown a link between psychopathological behaviors such as smartphone addiction, depression, anxiety, and stress. The aim of this study was to assess the association of smartphone addiction with depression, anxiety, and stress.

Methods

A cross-sectional study was conducted between 26th January and 3rd March 2021. The sample was chosen using a convenient sampling technique and Raosoft tool. The survey assessed smartphone addiction using abbreviated versions of the Addiction Scale Short Version, a self-administered questionnaire that has been validated in the English and Arabic languages. Also, Depression and Anxiety Stress Scale was used to measure the level of depression, anxiety, and stress among the university students.

Results

A total of 367 university students from the Medical and Health Sciences College participated. Our findings showed that smartphone addiction exhibited positive correlations with depression (r = 0.375, p < 0.01), anxiety (r = 0.253, p < 0.01), and stress (r = 0.328, p < 0.05). In addition, there was a strong positive correlation between depression and both anxiety and stress (r = 0.731, p < 0.01) (r = 0.778, p < 0.01), respectively. Finally, stress and anxiety showed a positive correlation (r = 0.708, p < 0.01).

Conclusion

When combined, our data offer strong support for a bidirectional hybrid theory that takes into account the link between smartphone addiction and depression, anxiety, and stress. The current study's findings might assist national health authorities in strengthening their efforts to prevent depression, anxiety, and stress associated with the use of modern technology.

Associations of mobile phone addiction with suicide ideation and suicide attempt: findings from six universities in China

Background

Mobile phones are becoming indispensable for life and have changed various aspects of people's lives. The psychological impacts of excessive mobile phone use have emerged as an impressive problem among college students. However, little is known about the associations of mobile phone addiction with suicide ideation and suicide attempt.

Methods

A cross-sectional study was conducted with students from six universities in 2022. We collected the socio-demographic characteristics, suicide ideation, suicide attempt, psychosocial factors (depressive symptoms, social support, sleep quality), and health-related characteristics (smoking, drinking, body mass index). Mobile phone addiction was ascertained by the Mobile Phone Addiction Tendency Scale (MPATS). The associations of mobile phone addiction with suicide ideation and suicide attempt were estimated using binary logistic regression and restricted cubic splines regression.

Results

A total of 18,723 college students [6,531 males (34.9%) and 12,192 females (65.1%)] were included in the final analysis. Eleven percent of participants had a history of suicide ideation, and 1.8% of participants had engaged in suicide attempt. A total of 5,553 students (29.7%) met the criteria of mobile phone addiction (MPATS score ≥48), and the average score on the MPATS was 39.5 ± 13.0. After adjustment for potential covariates, mobile phone addiction was significantly associated with increased odds of suicide ideation (OR, 1.70; 95% CI, 1.53-1.88) and suicide attempt (OR, 1.48; 95% CI, 1.18-1.86). Gender did not affect the associations of mobile phone addiction with suicide ideation and suicide attempt (P for interaction > 0.05). The restricted cubic splines regression displayed a nonlinear dose-response association between MPATS score and risk of suicide ideation (P for non-linearity < 0.001), while a monotonically increasing risk of suicide attempt was found to be associated with an increasing MPATS score (P for non-linearity = 0.420).

Conclusions

Mobile phone addiction is associated with suicide ideation and suicide attempt among college students. The findings indicate that early examination, prevention, and intervention for mobile phone addiction may benefit the prevent and control of suicide.

Prevalence and factors associated with smartphone addiction among nursing postgraduates during the COVID-19 pandemic: a multilevel study from China's mainland

BACKGROUND

Smartphone addiction is prevalent among college students, and there is a concern that the COVID-19 pandemic may bring an increased prevalence of smartphone addiction due to constant online classes and repeat quarantine policies. This study aims to assess the prevalence and influencing factors of smartphone addiction among Chinese nursing postgraduates during the pandemic by examining variables, including loneliness, perceived stress, resilience, and sense of security.

METHODS

This online cross-sectional survey recruited 224 nursing postgraduates in four cities in 2022, using Smartphone Addiction Scale for College Students, the Chinese version of Perceived Stress Scale, UCLA Loneliness Scale Version 3, Chinese version of the 10-item Connor-Davidson Resilience Scale, and the Security Questionnaire. Hierarchical regression analysis and logistic regression analysis were performed to explore the associated factors and predictors of smartphone addiction.

RESULTS

During the COVID-19 pandemic, the prevalence of smartphone addiction was 10.41%. There was a positive correlation between smartphone addiction and loneliness, perceived stress (P < 0.001), and a negative relationship with resilience and sense of security (P < 0.001). The logistic regression analysis identified five risk factors that contribute to smartphone addiction, including daily duration of using a smartphone (3-5 h) (OR = 11.085, 95%CI = 1.21-101.79), numbers of smartphone (OR = 3.704, 95%CI = 1.33-10.30), perceived stress (OR = 1.163, 95%CI = 1.06-1.28), loneliness (OR = 1.071, 95%CI = 1.01-1.13), age of using a smartphone first time (OR = 0.754, 95%CI = 0.60-0.95). Two protective factors, resilience (OR = 1.098, 95%CI = 1.01-1.20) and sense of security (OR = 0.950, 95%CI = 0.90-1.00), were identified.

CONCLUSIONS

Collectively, our study found that during the COVID-19 pandemic, smartphone addiction was prevalent among nursing postgraduates, and loneliness and perceived stress are important risk factors for smartphone addiction. Therefore, administrators should adopt targeted interventions to reduce smartphone addiction and the negative impacts on the psychological well-being of nursing postgraduates during a sudden outbreak of a national epidemic crisis.

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.

The worldwide prevalence of self-reported psychological and behavioral symptoms in medical students: An umbrella review and meta-analysis of meta-analyses

OBJECTIVE

Medical students frequently experience a range of stressors, such as demanding academic requirements, competition and rivalry, self-doubt, and financial distress. As a result, they are at risk for psychological and behavioral symptoms (PBS) including: depression, anxiety, and sleep difficulties as well as maladaptive substance use.

METHODS

To determine the degree of risk for these symptoms, 13 databases, without language restriction., were searched.

RESULTS

A total of 32 meta-analyses were included in this umbrella review. A global analysis of all self-reported PBS combined yielded a pooled prevalence rate of 30.3% [26.9%; 33.7%]; 95% PI [2.2%; 58.3%]. The highest reported prevalence was for sleep problems 42.0% [35.6%; 48.4%], followed by stress 41.7% [35.3%; 48.1%], burnout 35.8% [25.7%; 45.8%], anxiety 32.5% [27.9%; 37.1%], depression 32.5% [28.8%; 36.1%], internet addiction 26.0% [5.5%; 46.5%], substance use 25.2% [18.9%; 31.6%], eating disorders 9.8% [1.1%; 18.4%], and suicidal thoughts/gestures/acts 8.9% [4.8%; 12.9%]. The prevalence estimates were deemed acceptable for all PBS.

CONCLUSION

The evidence shows that fully one-third of medical students experience a range of problematic PBS, likely attributable to the demanding and intense study environment, the hierarchical structure of medical training facilities, and the vulnerability of the young adulthood time period. Appropriately targeted assessment and intervention efforts are clearly warranted to decrease the psychological burden of medical student training. PROSPERO Identifier: CRD42023391800. Open Science Network (OSF) Identifier: DOI 10.17605/OSF.IO/SXQYN.

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.

Nomophobia (No Mobile Phone Phobia) and Psychological Health Issues among Young Adult Students

BACKGROUND

Smart phone use has become a part of people's everyday life. However, when the lack of using the smart phone to establish and maintain electronic communication is related to psychological distress, such a behavior may be considered a modern-age phobia, or nomophobia (no mobile phone phobia). The aims of the present study were to investigate among a sample of young adults the associations between scores for nomophobia and symptoms of depression, anxiety, stress, insomnia, and obsessive-compulsive disorders.

METHODS

A total of 537 students (mean age: 25.52 years; 42.3% females) participated in the study. They completed a booklet of self-rating questionnaires covering sociodemographic information and symptoms of nomophobia, depression, anxiety, stress, insomnia, and obsessive-compulsive disorders.

RESULTS

Higher scores for nomophobia were associated with higher scores for depression, anxiety, and stress, but not with scores for insomnia and obsessive-compulsive disorders. The regression model confirmed that symptoms of anxiety predicted nomophobia.

CONCLUSIONS

The present results support the assumption that nomophobia appears to be a mood disturbance related to stronger associations with symptoms of anxiety and, to a lesser extent, with symptoms of depression and stress. By contrast, nomophobia appeared to be unrelated to insomnia and symptoms of obsessive-compulsive disorders.

Is There an Association between Increased Stress and Smartphone Addiction? Insights from a Study on Medical Students from Saudi Arabia during the COVID-19 Pandemic

Purpose: Smartphone addiction is prevalent among medical students, and there is a concern that the coronavirus disease 2019 (COVID-19) pandemic fueled a rise in smartphone addiction. Earlier studies suggest a link between excessive smartphone usage and negative outcomes such as depression, stress, and reduced academic achievement. However, there is a dearth of both local studies in Saudi Arabia and studies conducted during the COVID-19 pandemic exploring the prevalence of smartphone addiction and its association with academic performance, depression, and perceived stress, which is the purpose of the current study. Methods: In 2021, a cross-sectional research project took place among medical students at King Saud University and the Vision Colleges located in Riyadh, Saudi Arabia. An online self-administered questionnaire consisting of demographic variables, grade point average (GPA), the Patient Health Questionnaire-9 (PHQ-9), the Perceived Stress Scale-4 (PSS-4), and the Smartphone Addiction Scale-Short Version (SAS-SV) was deployed. Results: Three hundred and fifteen students participated. Around 47.9% of students reported smartphone addiction, and the mean SAS-SV score was 32.31 ± 12.01 points. Both PHQ-9 and PSS-4 scores showed a significant positive correlation with the SAS-SV score (r = 0.216, p < 0.001 and r = 247, p < 0.001, respectively), while GPA did not (r = -0.027, p = 0.639). An adjusted analysis showed that the PSS-4 score was positively associated with the SAS-SV score (odds ratio (OR) = 1.206, p < 0.001), while the PHQ-9 score was not (OR = 102, p = 0.285). Conclusions: Smartphone addiction is prevalent among medical students and associated with perceived stress. Additional research is required to gain a deeper comprehension of this issue and to assess the success of intervention initiatives aimed at encouraging healthy smartphone usage, particularly in times of crisis like the COVID-19 pandemic.

Impact of Learning Burnout on Mobile Phone Dependence Among Adolescents in Western China Under the "Double Reduction" Policy: The Mediating Role of Social Support

Purpose

This paper investigated the prevalence of mobile phone dependence (MPD) and its associated with learning burnout under the "double reduction" policy among adolescents in Guizhou Province in western China. In addition, the influence of the mediating mechanism of social support on this relationship was investigated.

Methods

The sample was collected from 16,216 adolescents in West China's Guizhou province, from December 2021 to January 2022 via multistage stratified random sampling. The Self-rating Questionnaire for Adolescent Problematic Mobile Phone Use (SQAPMPU) was used to assess the MPD, the Adolescent Student Burnout Scale (ASBI) was used to assess the learning burnout, and the Social Support Scale (SSS) was used to assess the social support. A hierarchical linear regression model was used to analyze the relationship between MPD, learning burnout, and social support. The mediating effect of social support between MPD and learning burnout was analyzed by structural equation model.

Results

Prevalence of MPD was 26.4% among adolescents in Guizhou province in western China. After adjusting for confounding variables like demographics, multiple linear regression model has revealed that learning burnout positively predicted MPD and social support negatively predicted MPD. The structural equation model showed that 10.9% of the effect was explained by the mediating effect of social support.

Conclusion

These findings could inform service delivery and policy formulation to reduce learning and avoid MPD in adolescents.

Intolerance of uncertainty fuels preservice teachers' smartphone dependence through rumination and anxiety during the COVID-19 pandemic: A cross-sectional study

Objectives

We aimed to explore the relationship among intolerance of uncertainty (IU), rumination, anxiety, and smartphone dependence (SPD) in preservice teachers during the COVID-19 pandemic.

Methods

Two cross-sectional studies were conducted with Chinese preservice teachers, using questionnaires on IU, rumination, anxiety, and SPD. Data were analyzed using AMOS 24.0 and SPSS 25.0, and the mediating mechanism was tested using the macro program Model 6. Study 1 recruited participants who were forcibly sequestered in a university due to an anti-epidemic policy during the COVID-19 crisis. Study 2 was surveyed online from different universities to replicate and enhance the reliability of Study 1 finding.

Results

Study 1 (N = 553, Mage = 20.8 ± 2.3, 30.0% female) and Study 2 (N = 1610, Mage = 21.1 ± 2.1, 51.4% female) both found that IU affected SPD through the independent mediators of rumination and anxiety, as well as the chain mediation of rumination→ anxiety. In Study 1, the indirect effect of IU on SPD was significant through rumination (β = 0.16, 95% CI [0.03, 0.06]), anxiety (β = 0.11, 95% CI [0.03, 0.06]), and the chain mediation (β = 0.02, 95% CI [0.01, 0.04]); in Study 2, the indirect effect of IU on SPD was significant through rumination (β = 0.08, 95% CI [0.05, 0.11]), anxiety (β = 0.10, 95% CI [0.08, 0.13]), and the chain mediation (β = 0.02, 95% CI [0.02, 0.03]).

Conclusion

Two cross-sectional studies found that preservice teachers' SPD is indirectly connected to IU, mediated by rumination and anxiety, and weakly mediated by the chain mediation of rumination and anxiety. Our findings may help educators understand the impact of anti-epidemic policies on preservice teachers and possible inclusive later interventions.

The relationship between self-cohesion and smartphone addiction: the mediating role of rejection sensitivity

Background

The increasing use of smartphones with attractive applications has yielded concerns over problematic overuse, also called smartphone addiction, thus creating a need to investigate the antecedents and pathways of this addiction.

Objective

The aim of this study was to investigate the relationships between the self-cohesion dimensions of presence and consistency and smartphone addiction, and the potentially mediating role of rejection sensitivity.

Methods

A total sample of 910 respondents (58% females, mean age = 34.9, SD = 13.6) participated in the study. They completed a questionnaire including demographic characteristics and queries about frequency and duration of smartphone use, as well as the Self-Cohesion Scale, the Short Version of Smartphone Addiction Scale, and the Rejection Sensitivity RS-Adult Questionnaire. Structural equation modeling was used to examine the relationships in question.

Results

The findings indicated that smartphone addiction was positively correlated with rejection sensitivity and negatively correlated with the self-cohesion dimensions of presence and consistency. Further, both presence and consistency were negatively associated with smartphone addiction and rejection sensitivity negatively mediated these relationships.

Conclusion

Self-cohesion and rejection sensitivity appear to be important predictors of smartphone addiction. Efforts to counteract smartphone addiction should, therefore, endeavor to increase smartphone users' self-cohesion and reduce their rejection sensitivity.

Relationship between depression, smartphone addiction, and sleep among Chinese engineering students during the COVID-19 pandemic

BACKGROUND

Existing research has demonstrated that depression is positively related to smartphone addiction, but the role of sleep has not been discussed thoroughly, especially among engineering undergraduates affected by the coronavirus disease 2019 pandemic.

AIM

To evaluate sleep as a mediator of the association between smartphone addiction and depression among engineering undergraduates.

METHODS

Using a multistage stratified random sampling method, a cross-sectional survey was conducted among 692 engineering undergraduates from a top engineering university in China, and data were collected by self-reported electronic questionnaires. The data included demographic characteristics, such as age, gender, the Smartphone Addiction Scale-Short Version (SAS-SV), the 9-item Patient Health Questionnaire, and the Pittsburgh Sleep Quality Index. Pearson correlation and multiple linear regression analyses were used to examine the association between smartphone addiction and depression, while structural equation models were established to evaluate the possible mediating role of sleep.

RESULTS

Based on the cutoffs of the SAS-SV, the rate of smartphone addiction was 63.58 percent, with 56.21 percent for women and 65.68 percent for men, among 692 engineering students. The prevalence of depression among students was 14.16 percent, with 17.65 percent for women, and 13.18 percent for men. Smartphone addiction was positively correlated with depression, and sleep played a significant mediating effect between the two, accounting for 42.22 percent of the total effect. In addition, sleep latency, sleep disturbances, and daytime dysfunction significantly mediated the relationship between depression and smartphone addiction. The mediating effect of sleep latency was 0.014 [P < 0.01; 95% confidence interval (CI): 0.006-0.027], the mediating effect of sleep disturbances was 0.022 (P < 0.01; 95%CI: 0.011-0.040), and the mediating effect of daytime dysfunction was 0.040 (P < 0.01; 95%CI: 0.024-0.059). The influence of sleep latency, sleep disturbances, and daytime dysfunction accounted for 18.42%, 28.95%, and 52.63% of the total mediating effect, respectively.

CONCLUSION

The results of the study suggest that reducing excessive smartphone use and improving sleep quality can help alleviate depression.

Smartphone Use and Addiction among Pharmacy Students in Northern Thailand: A Cross-Sectional Study

In Thailand and worldwide, smartphone addiction among university students is a growing concern. This study aims to investigate behaviors of smartphone use, the prevalence of smartphone addiction, the duration of smartphone use, and their associated factors among pharmacy students at a university in northern Thailand. This cross-sectional study was conducted using an online self-administered questionnaire to collect data from January to February 2021. Smartphone addiction was measured using the Smartphone Addiction Scale: Thai Short Version (SAS-SV-TH). Of 281 students (70% female, average age of 21.1 (2.0), year 1 to 5), 87% used smartphones and tablets. Their average time spent on a smartphone was 7.5 (±3.1) hours daily on weekdays and 8.1 (±3.1) on weekends. The top three reasons for using smartphones were social networking (92.9%), education (90.3%) and entertainment (89.6%). Health-related problems associated with smartphone use were insomnia (51.3%), anxiety (41.3%), headache (38.8%) and stress (38.4%). The prevalence of smartphone addiction was 49% (95% CI: 44-55%); the associated factor comprised time spent on smartphones (>5 h/day). The prevalence of spending more than five hours daily on smartphones was 75% (95% CI: 70-80%) during weekdays and 81% (95% CI: 77-86%) during weekends; associated factors for during weekdays included a monthly smartphone bill of more than 500 THB (adjusted odds ratio: 4.30 (95% CI: 2.00-9.24) and for senior students (adjusted OR: 3.31 (95% CI: 1.77-6.19). The results remained the same for the weekend. In short, the results show that half of the pharmacy students were addicted to their smartphone; time spent on smartphones (>5 h/day) was associated with addiction. Therefore, university students should be encouraged to adopt healthy habits for smartphone use (such as limiting screen time and maintaining good posture while using a smartphone or tablet) and to increase their awareness of health-related problems.

A bidirectional association between smartphone addiction and depression among college students: A cross-lagged panel model

Background

Smartphone addiction (SA) is associated with adverse consequences, especially for freshmen. Evidence indicates that SA is associated with depression, and it is necessary to conduct a longitudinal study to explore the association further.

Methods

SA (measured by the Smartphone Addiction Scale-Short Version) and depression (measured by the Zung's Self-Rating Depression Scale) among 1,186 freshmen were surveyed at baseline and a respective 12-month follow-up for each participant. The application of a cross-lagged panel model approach (CLPM) revealed an association between SA and depression after adjusting for demographic variables.

Results

The CLPM results showed a significant path from baseline SA to follow-up depression (β = 0.08, P < 0.001) and a significant path from baseline depression to follow-up SA (β = 0.08, P < 0.001). Compared with the overall cross-lagged model, the cross-lagged coefficient of the path from baseline SA to follow-up depression increased in the female group (β = 0.10, P = 0.015), and the cross-lagged coefficient of the path from baseline depression to follow-up SA also increased significantly (β = 0.15, P < 0.001). In contrast, the cross-lagged model in the male group showed no predictive effect between SA and depression (P > 0.05).

Conclusions

The current study showed a significant bidirectional association between smartphone addiction and depression among freshmen, but only in the female population.

Depression and Anxiety Mediate the Association between Sleep Quality and Self-Rated Health in Healthcare Students

OBJECTIVES

This study aimed to investigate factors associated with sleep quality in healthcare students and to determine whether depressive and anxiety symptoms may explain some of the associations between sleep quality and self-rated health.

STUDY DESIGN

This is a cross-sectional study at wave one.

METHODS

A total of 637 healthcare students were recruited via a stratified random sampling method in Hangzhou, China. The Sleep Quality Questionnaire (SQQ) and the four-item Patient Health Questionnaire (PHQ-4) were used to assess sleep quality and depressive and anxiety symptoms, respectively. Self-rated health was assessed via a self-developed questionnaire of both physical and psychological health. Structural equation modeling was used to examine the direct and indirect effects of sleep quality on self-rated health through depressive and anxiety symptoms.

RESULTS

Students engaged in part-time employment (p = 0.022), with poor perceived employment prospects (p = 0.009), and who did not participate in recreational sports (p = 0.008) had worse sleep quality. Structural equation modeling revealed a significant total effect of sleep quality on self-rated health (b = 0.592, p < 0.001), a significant direct effect of both sleep quality and depressive and anxiety symptoms on self-rated health (b = 0.277, 95% CI: 0.032-0.522), and a significant indirect effect of sleep quality on self-rated health through depressive and anxiety symptoms (b = 0.315, 95% CI: 0.174-0.457).

CONCLUSIONS

Depressive and anxiety symptoms partially explain the association between sleep quality and self-rated health. Intervening upon sleep quality, depressive, and anxiety symptoms may bolster the self-rated health of healthcare students.

The association between academic achievement, psychological distress, and smartphone addiction: A cross-sectional study among medical students

This study investigates the relationship between academic achievement, psychological distress, and smartphone addiction in medical students. In total, 513 medical students voluntarily completed a survey that included the Personal Information Questionnaire, the Smartphone Addiction Scale-Short Version (SAS-SV), the Depression, Anxiety and Stress Scale (DASS-21), and the Interaction Anxiousness Scale (IAS). Results showed that 321 participants were screened positive for smartphone addiction and the prevalence of smartphone addiction was 62.6%. We found that the prevalence of smartphone addiction was higher among male rather than female students (67.1% vs 58.2%; p = 0.039). There were significant differences between the smartphone addiction group and the smartphone non-addiction group as per the DASS-21 scores and the IAS scores. In addition, multiple regression indicated that psychological distress including anxiety, stress, depression, and social anxiety might be the predictors of smartphone addiction. However, smartphone addiction was found to have no significant correlation with academic performance in 274 undergraduate medical students. In conclusion, the study revealed the high prevalence of smartphone addiction in medical students. Smartphone addiction was associated with states of depression, anxiety, stress, and social anxiety, and there was no significant relationship between academic performance and smartphone addiction in undergraduate medical students. Further longitudinal research is needed to clarify the causal relationship between smartphone addiction and psychological distress.

Mobile phone addiction and depression among Chinese medical students: the mediating role of sleep quality and the moderating role of peer relationships

The literature has shown that mobile phone addiction is an important risk factor for depression. However, the internal mechanisms of mobile phone addiction leading to depression are still not clear. This study examined the mediating role of sleep quality and moderating role of peer relationships in the association between mobile phone addiction and depression. A sample of 450 Chinese medical students were recruited to complete measures of mobile phone addiction, depression, sleep quality and peer relationships. In this study, SPSS 25.0 and macro PROCESS were used to conduct statistical analysis on the collected data. The results showed that sleep quality partially mediated the association between mobile phone addiction and depression. Moreover, the effect of sleep quality on depression was moderated by peer relationships. The present study can advance our understanding of how and when mobile phone addiction leads to depression. Limitations and implications of this study are discussed.

Association of depression symptoms and sleep quality with state-trait anxiety in medical university students in Anhui Province, China: a mediation analysis

BACKGROUND

The prevalence of depression symptoms among medical students is particularly high, and it has increased during the COVID-19 epidemic. Sleep quality and state-trait anxiety are risk factors for depression, but no study has yet investigated the mediating role of state-trait anxiety in the relationship between poor sleep quality and depression symptoms in medical students. This study aims to investigate the relationship among depression symptoms, sleep quality and state-trait anxiety in medical university students in Anhui Province.

METHODS

This was a cross-sectional survey of 1227 students' online questionnaires collected from four medical universities in Anhui Province using a convenience sampling method. We measured respondents' sleep quality, state-trait anxiety, and depression symptoms using three scales: the Pittsburgh Sleep Quality Index (PSQI), the State-Trait Anxiety Inventory (STAI) and the Self-rating Depression Scale (SDS). We analysed the mediating role of STAI scores on the association between PSQI scores and SDS scores through the Sobel-Goodman Mediation Test while controlling for covariates. P < 0.05 was considered statistically significant.

RESULTS

A total of 74.33% (912) and 41.40% (518) of the respondents reported suffering from poor sleep quality and depression symptoms. Sleep quality, state-trait anxiety, and depression symptoms were positively associated with each other (β = 0.381 ~ 0.775, P < 0.001). State-trait anxiety partially mediated the association between sleep quality and depression symptoms (Sobel test Z = 15.090, P < 0.001), and this mediating variable accounted for 83.79% of the association when adjusting for potential confounders. Subgroup analysis further revealed that STAI scores partially mediated the association between PSQI scores and SDS scores in females and rural students and fully mediated the association between PSQI scores and SDS scores in males and urban students.

CONCLUSIONS

This study found that sleep quality and state-trait anxiety have a significant predictive effect on depression symptoms. State-trait anxiety mediated the relationship between sleep quality and depression symptoms, with a more complex mechanism observed among rural and female medical students. Multiple pathways of intervention should be adopted, such as encouraging students to self-adjust, providing professional psychological intervention and timely monitoring, enriching extracurricular activities, and making changes in policies regarding long shifts and working hours.

Psychometric evaluation of the Chinese version of social anxiety scale for social media users and cross-sectional investigation into this disorder among college students

BACKGROUND

Recent years have seen an increased incidence of social anxiety due to increasing intensive use of social media, especially among young adults.

OBJECTIVE

The present study aimed to translate the original English version of Social Anxiety Scale for Social Media Users (SAS-SMU) into Chinese, examine its applicability among Chinese College students via reliability and validity indexes, and investigate the influencing factors contributing to SAS-SMU.

METHODS

A cross-sectional study was conducted among a cohort of 1307 Chinese college students, 486 males and 821 females, aged 20.75 ± 3.13 years old. The original version of SAS-SMU was translated into Chinese using the backward and forward translation procedure. An exploratory factor analysis (EFA) and a confirmatory factor (CFA) analysis were used for construction of underlying factor structure. Criterion-related validity was assessed using Interaction anxiousness scale (IAS) and the "extraversion" domain of Eysenck Personality Short Scale (EPQ-R-S). Cronbach's alpha coefficient was computed for evaluation of internal consistency. A multivariate stepwise linear regression analysis was conducted for determining the potential correlates of SMU-related social anxiety.

RESULTS

The final Chinese version of SAS-SMU had 21 items. Item analysis, exploratory factor, EFA, and CFA jointly supported a three-factor structure of the translated version, defined as social recognition anxiety, interaction anxiety, and privacy concern anxiety, respectively. The three-factor structure of this scale showed configural, metric, scalar measurement invariance across gender. Cronbach's alpha coefficient of the scale and its three subscales were 0.96, 0.93, 0.94, and 0.91, respectively. The mean SAS-SMU overall score for each college student was 51.63 ± 16.32, with 21.64 ± 7.24 (recognition anxiety), 17.10 ± 6.30 (interaction anxiety), 12.90 ± 4.61 (privacy concern anxiety) for each subscale, respectively. IAS score, mobile phone addiction index (MPAI) score, EPQ-E score, time spent on social media per week, relationship with parents, childhood life status, whether being an only child, and cyber bullying experience can explain 51.1% of the variance of SMU related social anxiety.

CONCLUSION

Based on the data, the Chinese version of SAS-SMU has shown to be satisfactory in psychometric properties. Subjects prone to interaction anxiousness, addictive smartphone use, extraversion personality trait, bad relationship with parents, unfortunate childhood life, only-child status, and having cyberbullying experience tend to have a higher level of SMU related social anxiety.