The relationship of smartphone addiction with psychological distress and neuroticism among university medical students

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.

The relationship between social media dependency and psychological distress due to misunderstanding and fear of COVID-19 in medical students

Improper use of social media during the COVID-19 outbreak, leading to fear and misunderstanding, can contribute to psychological disorders in vulnerable populations. This descriptive and analytical cross-sectional study was conducted in 2023 on 511 medical students of Babol University of Medical Sciences. Data were collected using demographic, psychological distress, fear and misunderstanding questionnaires related to COVID-19 and social media dependency. A total of 511 medical students, with an average age of Mean and S.D; 23.57 ± 3.03 participated in the study. The average psychological distress score was 23.82 ± 7.73 (out of 54), the average score of social media dependency was 17.53 ± 3.09 (out of 30), for the fear of COVID-19 was12.63 ± 2.56 (out of 35), and for the misperception of COVID-19 was 0.53 ± 0.09 (out of 18). Path analysis results) showed that direct path from improper use of social media to psychological distress is significant (P < 0.001, B = 0.19) but this relationship is not significant through fear and misperception related to COVID-19. Improper use of social media, identified as the strongest predictor, can directly increase psychological distress in medical students, without mediation through fear and misperception related to COVID-19. These findings should be taken into consideration when designing and evaluating interventions aimed at promoting mental health and fostering appropriate use of social media among students during disease outbreaks.

Threats of nursing productivity in the digital era: investigating the interplay between smartphones addiction and procrastination behavior among nurses

BACKGROUND

Controlling smartphone addiction and procrastination among nurses is crucial for enhancing the productivity of both nursing and the healthcare system. Critical care nurses are highly vulnerable to smartphone addiction and procrastination behaviors than other groups. They may purposefully delay their tasks, a practice known as active procrastination, or inadvertently delay them, a practice known as passive procrastination.

AIM

This study was designed to assess the prevalence of smartphone addiction and procrastination behavior among nurses, examine the effect of smartphone addiction on the active and passive procrastination behaviors, and explore the correlation between active and passive procrastination behaviors among nurses.

METHOD

This is a descriptive correlational exploratory study that was conducted at 23 critical care units of one large educational hospital in Egypt. Data were collected from 360 nurses who were conveniently selected using three tools: the Smartphone Addiction Inventory, the New Active Procrastination Scale, and the Unintentional Procrastination Scale. Correlation and regression analyses were conducted to test the hypothetical relationship among the study variables.

RESULTS

This study revealed that 55.0%, 80.0%, and 45.3% of nurses had a moderate perceived level of smartphone addiction, active procrastination behavior, and passive procrastination behavior, respectively. There is a significant positive correlation between smartphone addiction and both nurses' active and passive procrastination behaviors. Smartphone addiction accounts for 25% of the variance in nurses' active procrastination behavior and 18% of the variance in their passive procrastination. Furthermore, there is a moderately significant negative correlation between nurses' active procrastination behavior and their passive procrastination behavior.

CONCLUSION

Nurses are exhibiting moderate levels of smartphone addiction and procrastination, which is a significant threat to the healthcare industry and nursing productivity. This requires technological, educational, and organizational interventions that foster active procrastination and combat passive procrastination behaviors among nurses.

IMPLICATIONS

Continuous training programs are required to enhance time management skills among nurses and increase the awareness of nurse managers with the symptoms of smartphone addiction among nurses. Nurse leaders should early detect and address the addictive use of smartphones among nurses, identify potential procrastinators, and provide counseling to eradicate these behaviors in the workplace.

Prevalence of mobile phone addiction and poor mental health, and factors associated with mental health among medical students in Southeast Iran

BACKGROUND

Mobile phone addiction is on the rise among various populations, particularly among the younger generations. This phenomenon can significantly impact various aspects of life, particularly mental health. This study aimed to examine the prevalence of mobile phone addiction and mental health, as well as the associated factors of mental health among medical students in southeast Iran in 2023.

METHODS

Using stratified sampling, 365 students from the Kerman University of Medical Sciences were included from May to June 2023. The data collection tool comprised a questionnaire assessing general health (GHQ-28), mobile phone addiction, and social support. Logistic regression was used to examine the associated factors of mental health.

RESULTS

The prevalence of mobile phone addiction and poor mental health among students was 46.6% (95% Confidence Intervals [CI]: 41.4; 51.7) and 52.9% (95% CI: 47.7; 57.9), respectively. The results of the multivariable logistic regression analysis indicated that individuals with mobile phone addiction had higher odds of experiencing a poor mental health situation (Adjusted Odds Ratio [aOR] = 2.01; 95% CI: 1.30, 3.09). Conversely, participants with higher social support scores were less likely to have poor health (aOR = 0.95; 95% CI: 0.94, 0.97).

CONCLUSION

We found a high prevalence of mobile phone addiction. Considering the association between mobile phone addiction and mental health, it is necessary to prevent the complications and risks caused by mobile phone addiction; it requires educational planning, counseling, and behavior among vulnerable students.

The effect of smartphone addiction on adolescent health: the moderating effect of leisure physical activities

BACKGROUND

Smartphone addiction is a growing concern, especially among adolescents, due to its negative impact on health. This study examines how leisure physical activity influence this relationship.

OBJECTIVE

This study aimed to investigate the relationship between smartphone addiction and adolescent health, examining the mediating role of loneliness and the moderating effect of leisure physical activity.

METHODS

A survey of 1271 Chinese university students was conducted using the PAPS Health and Fitness Scale, Smartphone Addiction Scale, and Leisure Time Exercise Scale.

RESULTS

Smartphone addiction negatively affects adolescent health. Loneliness mediates this relationship, while leisure physical activity moderates it. High levels of physical activity reduce the negative impact of loneliness on health (bsimple = -0.49, P < 0.001), whereas low levels enhance this impact (bsimple = -0.21, P < 0.001).

CONCLUSION

These research have practical implications for preventing and reducing smartphone addiction and offer a theoretical foundation for promoting healthier lifestyles among adolescents.

The interplay of psychological resilience and adolescent mobile phone addiction in Henan province, China: insights from latent class analysis

Background

The aim of this study was to classify distinct subgroups of adolescents based on the severity levels of their mobile phone addiction and to investigate how these groups differed in terms of their psychosocial characteristics. We surveyed a total of 2,230 adolescents using three different questionnaires to assess the severity of their mobile phone addiction, stress, anxiety, depression, psychological resilience, and personality. Latent class analysis was employed to identify the subgroups, and we utilized Receiver Operating Characteristic (ROC) curves and multinomial logistic regression for statistical analysis. All data analyses were conducted using SPSS 26.0 and Mplus 8.5.

Methods

We classified the subjects into subgroups based on their mobile phone addiction severity, and the results revealed a clear pattern with a three-class model based on the likelihood level of mobile phone addiction (p < 0.05). We examined common trends in psychosocial traits such as age, grade at school, parental education level, anxiety levels, and resilience. ROC analysis of sensitivity versus 1-specificity for various mobile phone addiction index (MPAI) scores yielded an area under the curve (AUC) of 0.893 (95% CI, 0.879 to 0.905, p < 0.001). We also determined diagnostic value indices for potential cutoff points ranging from 8 to 40. The optimal cutoff value for MPAI was found to be >14, which corresponded to the maximum Youden index (Youden index = 0.751).

Results

The latent classification process in this research confirmed the existence of three distinct mobile phone user groups. We also examined the psychosocial characteristics that varied in relation to the severity levels of addiction.

Conclusion

This study provides valuable insights into the categorization of adolescents based on the severity of mobile phone addiction and sheds light on the psychosocial characteristics associated with different addiction levels. These findings are expected to enhance our understanding of mobile phone addiction traits and stimulate further research in this area.

Prevalence of smartphone addiction and its relation with psychological distress and internet gaming disorder among medical college students

Background

The incidence of smartphone addiction has been widely studied, but the research on the relationship between smartphone addiction and psychological distress and internet gaming disorder is limited. This study investigated the characteristics and prevalence of smartphone addiction and its relation with psychological distress and internet gaming disorder. Furthermore, it provides the scientific basis for intervention measures in schools, families, and society.

Methods

A random cluster sampling method was applied to investigate 656 medical students from grades 1 to 4 at Wannan Medical College in Anhui province, People's Republic of China. The questionnaire consisted of general information, a smartphone addiction scale, an Internet gaming disorder scale, and a Kessler 6-item psychological distress test. The obtained results were first summarized using descriptive statistics. The Chi-square test was used to compare the status of smartphone addiction. Binary logistic regression was used to analyze the relationship between smartphone addiction and various variables.

Results

Our results showed that the prevalence of smartphone addiction in medical students was 49.5% (325/656). Psychological distress (p < 0.001), internet gaming disorder (p < 0.001), and childhood trauma (p = 0.001) were highly correlated with smartphone addiction in medical students. Psychological distress, and internet gaming disorder were positively associated with smartphone addiction (p < 0.000).

Conclusion

The prevalence of smartphone addiction is high among medical students in Chinese. Smartphone addiction is highly related to related to internet gaming disorder and psychological distress.

Call to Action: Investigating Interaction Delay in Smartphone Notifications

Notifications are an essential part of the user experience on smart mobile devices. While some apps have to notify users immediately after an event occurs, others can schedule notifications strategically to notify them only on opportune moments. This tailoring allows apps to shorten the users' interaction delay. In this paper, we present the results of a comprehensive study that identified the factors that influence users' interaction delay to their smartphone notifications. We analyzed almost 10 million notifications collected in-the-wild from 922 users and computed their response times with regard to their demographics, their Big Five personality trait scores and the device's charging state. Depending on the app category, the following tendencies can be identified over the course of the day: Most notifications were logged in late morning and late afternoon. This number decreases in the evening, between 8 p.m. and 11 p.m., and at the same time exhibits the lowest average interaction delays at daytime. We also found that the user's sex and age is significantly associated with the response time. Based on the results of our study, we encourage developers to incorporate more information on the user and the executing device in their notification strategy to notify users more effectively.

The relationship between mobile phone addiction and depression, anxiety, and sleep quality in medical students

This study investigates the prevalence of mobile phone addiction among medical students and its relationship with depression, anxiety, and sleep quality. The study was conducted at Mashhad University of Medical Sciences from 2019 to 2021, and it included medical students at four different levels of training. Participants were selected using a stratified random sampling method. All subjects completed the Mobile Phone Addiction Scale, Pittsburgh Sleep Quality Index (PSQI), Beck Depression Inventory, and Beck Anxiety Inventory through online electronic self-report questionnaires. Overall, 355 medical students were included in the study, with 203 (57.2%) being female. Mild and severe mobile phone addiction was reported by 83.7 and 2.5% of the students, respectively. Furthermore, the study's findings revealed significantly higher sleep quality disorder, depression, and anxiety scores among students with severe mobile phone addiction compared to other participants ( P  < 0.001, P  = 0.007, and P  < 0.001, respectively). Although mobile phone addiction was prevalent, severe addiction was rare among medical students. Nevertheless, severe addiction was associated with an increased prevalence of mental health problems and sleep disturbances, emphasizing the importance of interventions aimed at reducing mobile phone addiction and improving mental health.

Depression and Smartphone Addiction Among College Students: The Mediating Effect of Emotional Exhaustion

Objective

Multiple studies claim that depression was a triggering factor for smartphone addiction among college students. But we still know very little about the underlying mechanisms of smartphone addiction. The aim was to shed light on the underlying mechanisms of smartphone addiction from the perspective of depression and emotional exhaustion, to provide alternative paths for university administrators to address smartphone addiction among college students.

Methods

A total of 2764 Chinese college students participated in the survey. They independently filled out self-assessment questionnaires including the Cell Phone Addiction Scale, Beck Depression Inventory II, and Emotional Exhaustion Scale. Subsequently, mediation analysis was conducted using the PROCESS macro developed by Hayes (v 4.0; Model 4).

Results

Statistical analysis showed that depression was positively correlated with emotional exhaustion and smartphone addiction, emotional exhaustion was positively correlated with smartphone addiction, all of which were statistically significant. In addition, the effect of depression on smartphone addiction among college students was partially mediated by emotional exhaustion.

Conclusion

The impact of depression and emotional exhaustion on smartphone addiction had been preliminarily explored, which had certain value for further understanding of smartphone addiction among college students. This study could provide references for universities to develop intervention measures for smartphone addiction.

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.

Smartphone addiction prevalence, patterns of use, and experienced musculoskeletal discomfort during the COVID-19 pandemic in a general Iranian population

BACKGROUND

Smartphone usage is an essential everyday tool in Iran, however problematic use has escalated and become a concern for the Iranian health policy system, particularly during and following the COVID-19 Pandemic. This study's aim was investigation of the prevalence of smartphone addiction, patterns of use, and the relationship to specific demographic characteristics and associated musculoskeletal disorders during the COVID-19 pandemic.

METHODS

A descriptive-analytical correlational study recruited participants from a population of convenience (n = 2344) who were smartphone owners with > 1 year of use. For demographic information an electronic self-report questionnaire collected age, sex, marital status, usage for daily hours, and patterns. To assess addiction levels, the 'Smartphone Addiction Scale-short version' (SAS-SV) patient-reported outcome measure was used (cut-off = 31). For experienced discomfort, the Extended Nordic Musculoskeletal Questionnaire (ENMQ) was used.

RESULTS

The participants (female = 66.6%, n = 1561, mean age = 29.07 ± 12.34 years, range 6-60 years) smartphone use averaged 5.75 ± 3.44 h/day. The general prevalence of smartphone addiction was 46.16% (females = 46.06%, males = 46.36%; married = 44.5%, single = 47.63%). School students had the greatest addiction (53.2%) and those with a higher education to or above a Master's degree were the lowest (39.38%). The highest pattern of use was for social networks at 89.1% of participants (female = 88.34%, male = 90.54%). The areas of highest reported discomfort were the eyes (43.5%) and neck (43.3%). A significant correlation was found between smartphone addiction and hours of daily usage, and the amount of usage increased during the COVID-19 pandemic period.

CONCLUSION

A high level of smartphone addiction in the Iranian population was found to have occurred during the COVID-19 pandemic. Those most affected were unmarried individuals and school students, with the predominant areas being the eyes and neck. Health decision-makers should consider these findings when developing recommendations and plans for public health, particularly those focused on students.

Relationship Between Alexithymia, Smartphone Addiction, and Psychological Distress Among University Students: A Multi-country Study

Objectives

Increasing dependence on smartphones results in the appearance of psychological problems, especially among young people. This study aims to determine the rates of alexithymia and its relationship with smartphone addiction and psychological distress in university students.

Methods

A total of 2616 students (mean age = 22.5±3.5 years; 73.1% female) from universities in Egypt, Oman, and Pakistan were included in a cross-sectional and comparative study conducted through a web survey during the COVID-19 pandemic from October to December 2021. The following scales were used: Toronto Alexithymia Scale (TAS-20), Depression Anxiety Stress Scale (DASS-21), and Smartphone Addiction Scale-Short Version (SAS-SV). The survey also included questions related to sociodemographic and smartphone usage patterns.

Neuroticism and Adolescent Problematic Mobile Social Media Use: A Moderated Mediation Model

Although previous studies have confirmed the influence of neuroticism on problematic mobile social media use, mechanisms underlying this relation have not been well-understood. The present study investigated the mediating effect of self-control, as well as the moderating role of family socioeconomic status (FSES). A total of 1146 adolescents' data (Mage = 16.11, SDage = 0.97, 498 boys) were collected. Participants completed questionnaires about neuroticism, self-control, problematic mobile social media use, and FSES. The moderated mediation analysis showed that self-control mediated the positive association between neuroticism and problematic mobile social media use. In addition, FSES moderated the negative relation between self-control and problematic mobile social media use. Specifically, compared with adolescents in low FSES, the association between self-control and problematic mobile social media use was stronger for adolescents in high FSES. This study advanced our understanding of the development of problematic mobile social media use by revealing the potential mechanism between adolescent neuroticism and problematic mobile social media use.

Cross-sectional survey of smartphone addiction and its relationship with personality traits among medical students

OBJECTIVE

To understand the current smart phone addiction tendency (SPAT) in medical university students and relationship with personality traits.

METHODS

A cross-sectional study from September 2019 to December 2019 selected medical students from Hubei University of China by cluster sampling. Questionnaires were administered to measure smart phone addiction tendency and personality traits.

RESULTS

The prevalence of SPAT among 972 medical students was 24.3%. The prevalence was higher in students from one-child family than those with siblings (28.2% vs. 21.7%), and higher among students from urban families than those from rural ones (29.2% vs. 19.7%).Multivariate logistic regression analysis showed that extraversion and neuroticism were correlated with SPAT, with odds ratio and 95% confidence interval being equal to 1.070 (1.011-1.133) and 0.838 (0.795-0.844), respectively.

CONCLUSIONS

The prevalence of SPAT was high in medical college students. Extraversion and neuroticism were risk and protective factors for SPAT. Long duration phone use and a low number of physical workouts predicted high SPAT.

Problematic use of the internet, smartphones, and social media among medical students and relationship with depression: An exploratory study

BACKGROUND

Students in sub-Saharan African countries experienced online classes for the first time during the COVID-19 pandemic. For some individuals, greater online engagement can lead to online dependency, which can be associated with depression. The present study explored the association between problematic use of the internet, social media, and smartphones with depression symptoms among Ugandan medical students.

METHODS

A pilot study was conducted among 269 medical students at a Ugandan public university. Using a survey, data were collected regarding socio-demographic factors, lifestyle, online use behaviors, smartphone addiction, social media addiction, and internet addiction. Hierarchical linear regression models were performed to explore the associations of different forms of online addiction with depression symptom severity.

RESULTS

The findings indicated that 16.73% of the medical students had moderate to severe depression symptoms. The prevalence of being at risk of (i) smartphone addiction was 45.72%, (ii) social media addiction was 74.34%, and (iii) internet addiction use was 8.55%. Online use behaviors (e.g., average hours spent online, types of social media platforms used, the purpose for internet use) and online-related addictions (to smartphones, social media, and the internet) predicted approximately 8% and 10% of the severity of depression symptoms, respectively. However, over the past two weeks, life stressors had the highest predictability for depression (35.9%). The final model predicted a total of 51.9% variance for depression symptoms. In the final model, romantic relationship problems (ß = 2.30, S.E = 0.58; p<0.01) and academic performance problems (ß = 1.76, S.E = 0.60; p<0.01) over the past two weeks; and increased internet addiction severity (ß = 0.05, S.E = 0.02; p<0.01) was associated with significantly increased depression symptom severity, whereas Twitter use was associated with reduced depression symptom severity (ß = 1.88, S.E = 0.57; p<0.05).

CONCLUSION

Despite life stressors being the largest predictor of depression symptom score severity, problematic online use also contributed significantly. Therefore, it is recommended that medical students' mental health care services consider digital wellbeing and its relationship with problematic online use as part of a more holistic depression prevention and resilience program.

Personality traits of university students with smartphone addiction

BACKGROUND

Nowadays smartphone use is increasing drastically. There is a higher prevalence of smartphone addiction in some specific personality traits.

OBJECTIVES

The goal of this study is to evaluate the association of smartphone addiction with personality traits.

METHODS

This study is correlational research. Three hundred and eighty two students of Tehran universities were asked to answer the smartphone addiction scale (SAS) questionnaire and the Persian version of the Cloninger temperament and character inventory (TCI) questionnaire. After the smartphone addiction questionnaire assessment, individuals with smartphone addiction were identified and compared to the non-smartphone addicted group in terms of personality traits.

RESULTS

One hundred and ten individuals (28.8%) were prone to smartphone addiction. Mean scores of people with smartphone addiction were higher in novelty-seeking, harm avoidance, and self-transcendence than the non-addicts and were statistically significant. In persistence and self-directedness, the mean scores of the smartphone addiction group were lower than the non-addicts and were statistically significant. Individuals with smartphone addiction had higher reward dependence and lower cooperativeness however they were not statistically significant.

CONCLUSIONS

high novelty seeking, harm avoidance, self-transcendence, low persistence, and self-directedness which indicate narcissistic personality disorder, could have a role in smartphone addiction.

Adolescent resilience and mobile phone addiction in Henan Province of China: Impacts of chain mediating, coping style

BACKGROUND

As mobile phone use grows, so it brings benefits and risks. As an important part of adolescents healthy growth, resilience plays an indispensable role. Thus, it is important to identify when mobile phone use of an adolescent becomes an addiction. This study proposed to explore the effects of adolescent resilience on mobile phone addiction, and tested the mediating role of coping style and depression, anxiety, and stress (DASS) on phone addiction among 2,268 adolescents in the Henan province, China.

METHODS

The adolescents were surveyed via an online questionnaire, a mobile phone addiction index (MPAI), a depression, anxiety, and stress scale with 21 items (DASS-21), the Resilience Scale for Chinese Adolescents (RSCA), and the Simplified coping style questionnaire (SCSQ), and we used structural equation modeling to examine the correlations and moderation effects. All data analyses were performed using SPSS 26.0 and Amos 23.0.

RESULTS

The results show that adolescences resilience were negatively related to negative coping, DASS, and mobile phone addiction; both coping style and DASS could mediate the relationship between adolescent resilience and mobile phone addiction among Chinese adolescents. The relationship between adolescent resilience and mobile phone addiction in Chinese adolescents was mediated by the chain of coping styles and DASS.

CONCLUSIONS

There is a negative relationship which exists between resilience and mobile phone addiction in this population. In addition, stress, anxiety, depression, and coping style significantly influence the risk of adolescent mobile phone addiction and play an intermediary role in Chinese adolescent resilience and mobile phone addiction.

How mobile phone addiction is associated with suicidal ideation in university students in China: Roles of depression and online social support

Background

Recent studies have highlighted mobile phone addiction (MPA) as a potential risk of suicidal ideation. However, the mechanisms underlying that association require attention.

Objective

This investigation aims to examine whether the relationship between MPA and suicidal ideation would be mediated by depression, and buffered by online social support (OSS) in university students.

Methods

A convenient sample of 1,042 Chinese university students completed the measures of mobile phone addiction, depression, suicidal ideation, OSS in classroom settings. Moderated mediation analyses were performed to test the roles of depression and OSS in the association between MPA and suicidal ideation.

Results

MPA was positively associated with suicidal ideation through depression (indirect effect =. 23, 95% CI: 0.18, 0.28, p < 0.001); OSS moderated the association between depression and suicidal ideation (B = - 0.09, 95% CI: -0.13, -0.04, p < 0.001). Specifically, the effect of depression on suicidal ideation was weaker in individuals with high (versus low) OSS. OSS moderated the association between MPA and suicidal ideation (B = 0.06, 95% CI: 0.02, 0.10, p = 0.001). The influence of MPA on suicidal ideation was non-significant among individuals with high OSS but negatively significant among students with low OSS.

Conclusion

The results enrich the understanding of how MPA may increase suicidal ideation, and highlight the potential importance of reducing depression and enhancing OSS to prevent suicidal ideation in university students.

The effect of mobile phone addiction on perceived stress and mediating role of ruminations: Evidence from Chinese and Czech university students

Introduction

The rise in the capabilities of mobile devices and the associated increase in the proportion of time we spend on them has not only positive benefits but also several risks, including mobile phone addiction and its consequences. The complex mechanisms of the impact of this addiction on mental health, especially in a cross-cultural context, however, remain relatively unknown. The aim of this cross-cultural study was to investigate the mediating role of rumination on the association between mobile phone addiction and perceived stress.

Methods

A population of 358 Chinese and 282 Czech university students was tested using a battery of validated psychological tests that included a short version of the Smartphone Addiction Scale, the Ruminative Response Scale, and the Perceived Stress Scale.

Results

The results showed significant cross-cultural differences with Czech students manifesting greater rumination (d = 0.79) and perceived stress (d = 0.42) and Chinese students showing greater mobile phone addiction (d = 1.01). Mediation analyses showed that the effect of mobile phone addiction on stress levels was mediated through the rumination in both populations (45.6% and 80.9% of the explained variance for Chinese and Czech students, respectively) and did not differ between the two countries (estimate of difference [95%CI] = -0.052[-0.166, 0.037], p = 0.27). In contrast, the significant direct effect of mobile phone addiction on perceived stress was only present in Chinese students, where it was marginally larger than the indirect effect. In Czech students, the direct effect was not manifested and the difference between countries was significant (estimate of difference [95%CI] = 0.242 [0.035, 0.413], p < 0.001). In all of the cases, the association between the variables was positive, i.e., as one grew, so did the other. Finally, a moderated-mediation analysis confirmed that country of origin significantly moderated only the direct relationship between mobile phone dependence and perceived stress (p = 0.002).

Discussion

These results suggest that the mechanism of interaction between excessive mobile phone use and perceived stress is culturally conditioned, which may limit the transferability of research findings in a global context and requires further cross-cultural studies.

Prospective Association between Smartphone Addiction and Perceived Stress and Moderation of Boredom during COVID-19 in China

Smartphone addiction (SPA) is prevalent in college students and harms their healthy development, and perceived stress (PS) has been a well-documented risk factor of SPA. People often experienced boredom during COVID-19; however, its effect on behavioral/mental health during the pandemic has been rarely tested. We investigated the prospective association between SPA and PS before and during COVID-19, as well as the moderation of boredom. A total of 197 college students participated in four-wave surveys from December 2018 to June 2020 in China. The cross-lagged model was developed to investigate the prospective association between SPA and PS from T1 to T4. Boredom was added to the model at T4 as a moderator to explore the moderating role of boredom during COVID-19. The results showed that the pandemic changed PS's prediction on SPA. During COVID-19, boredom significantly affected SPA and PS and moderated the link from PS at T3 to PS at T4. The results suggest that the prospective associations between SPA and PS varied before and during COVID-19. Prevention of SPA should be conducted for new students and should be used to enhance their stress coping capacity. Intervention programs for eliminating boredom may be effective for reducing stress and SPA during COVID-19.

Exploring the connection between parental bonding and smartphone addiction in Chinese medical students

BACKGROUND

Smartphone addiction bodes adverse consequences, affecting different populations, including medical students. Parental bonding in childhood had been associated with addiction and recovery in later life. Therefore, this study aimed to examine the associations between parental bonding and smartphone addiction among Chinese medical students.

METHOD

Binary logistic regressions were used to investigate the associations between parental bonding with mothers and fathers, respectively, and smartphone addiction. Interaction terms of care and protection were included in the models.

RESULTS

A total of 517 medical students were included in the study. The prevalence of smartphone addiction was 48.16% (n = 249). The estimated effects of maternal and paternal parenting on smartphone addiction differed. Maternal protection was positively associated with smartphone addiction (OR, 1.046;95% CI, 1.005-1.087), and maternal care enhanced the estimated effect of protection on smartphone addiction. Paternal care was negatively associated with smartphone addiction (OR, 0.954;95% CI, 0.919-0.989).

CONCLUSIONS

Chinese medical students with overprotective mothers or with indifferent fathers tended to exhibit traits of smartphone addiction. Further studies on factors influencing the associations between parental bonding and smartphone addiction may pave the way for potential family-oriented interventions for smartphone addiction.

The relationship between neuroticism and mobile phone use among college students in love: The masking effect of self-emotional assessment

The relationship between neuroticism and mobile phone use is a hot research topic in the academic community. The purpose of this study was to investigate the roles of self-emotional assessment and love status in the mechanism through which college students’ neuroticism influences mobile phone use.We construct a moderated mediation model, and taking 869 Chinese college students as the research object and testing the mediating role of self-emotional assessment and the moderating role of love status. The results show that: (1) neuroticism was significantly positively related to mobile phone use and significantly negatively related to self-emotional assessment; self-emotional assessment was significantly positively related to mobile phone use; (2) self-emotional assessment had a masking effect on the relationship between neuroticism and mobile phone use; (3) love status not only moderated the relationship between self-emotional assessment and mobile phone use but also moderated the process through which self-emotional assessment masked the effect of neuroticism on mobile phone use. Our research expands the literature on the mechanisms underlying the effects of neuroticism on mobile phone use, enriches the understanding of the pertinent boundary conditions, and provides a better explanatory basis for the mobile phone use of college students.

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

BACKGROUND

High prevalence of smartphone addiction among medical students may contribute to adverse physical and mental health outcomes.

AIM

To estimate the prevalence of smartphone addiction, and explore the influencing factors and related mental health symptoms of smartphone addiction among Asian medical students.

DESIGN

Systematic review and meta-analysis.

METHODS

PubMed (MEDLINE), the Cochrane Central Register of Controlled Trials, and EMBASE were searched for relevant literature from the inception to September 10, 2021. Using Stata software 11.0, the meta-analysis of prevalence and the influencing factors of smartphone addiction were determined with 95% confidence intervals.

RESULTS

Nineteen articles, published between 2014 and 2019, were included, producing medical student studies from seven different Asian countries. The included studies were conducted in India (n = 11) and Malaysia (n = 3), with China, Saudi Arabia, Turkey, Nepal, and Iran each contributing one study. Among a total of 5,497 medical students, the participants included 3,214 females, of whom 2,181 were medical students with smartphone addiction. The prevalence of smartphone addiction among Asian medical students was 41.93% (95% CI [36.24%, 47.72%]). The influencing factors of smartphone addiction among medical students included gender, duration of smartphone use, smartphone function, and marital status. Ten studies (52.63%) explored related mental health symptoms of smartphone addiction among Asian medical students. Smartphone addiction was positively correlated with poor sleep quality (r = .17-.31), stress (r = .30-.40), anxiety, depression, neuroticism, and general health among Asian medical students.

CONCLUSION

Smartphone addiction is highly prevalent among Asian medical students. Smartphone addiction may adversely affect mental health, resulting in sleep disturbance, stress, anxiety, depression, and neuroticism. It is necessary to take appropriate precautionary actions and interventions to prevent smartphone overuse among medical students.

Mediating effects of academic self-efficacy and smartphone addiction on the relationship between professional attitude and academic burnout in nursing students: A cross-sectional study

BACKGROUND

Academic burnout is a common issue that interferes with the role shift from nursing students to qualified nurses and aggravates a shortage of workforce in global healthcare system. According to the Areas of Worklife Scale, developed by Maslach and Leiter, there are six dimensions that encompass the major antecedents of burnout. Therefore, it's well worth an exploration to understand academic burnout and its' underlying mechanism based on the theoretical instrument. Specifically, academic burnout, professional attitude, academic self-efficacy and smartphone addiction were selected as observation variables after widely literature review.

OBJECTIVE

The purpose of this study is to examine academic burnout and figure out the relationships between academic burnout, professional attitude, academic self-efficacy and smartphone addiction among nursing students.

DESIGN

A cross-sectional study.

SETTING

The study was conducted in a nursing department in Anhui province in eastern China.

PARTICIPANTS

1445 nursing students.

METHODS

Academic burnout, professional attitude, academic self-efficacy and smartphone addiction of participants were measured using online questionnaires with a supportive platform called "wenjuanxing". Data were analyzed using descriptive statistics, Pearson's correlations, and path analysis.

RESULTS

Of all the participants, 44.26 % had a certain degree of academic burnout. Professional attitude and academic self-efficacy were negatively related to academic burnout. Smartphone addiction was positively associated with academic burnout. Meanwhile, academic self-efficacy and smartphone addiction partly mediated the effect of professional attitude on academic burnout.

CONCLUSION

The compound strategies targeted at boosting positive professional attitude, fostering academic self-efficacy, and controlling the smartphone addiction are warranted for decreasing academic burnout.

Smartphone overuse, depression & anxiety in medical students during the COVID-19 pandemic

INTRODUCTION

Medical students have made particular use of smartphones during the COVID-19 pandemic. Although higher smartphone overuse has been observed, its effect on mental disorders is unclear. This study aimed to assess the association between smartphone overuse and mental disorders in Peruvian medical students during the COVID-19 pandemic.

METHODS

A cross-sectional study was conducted in 370 students aged between 16 and 41 years (median age: 20) in three universities from July to October 2020. A survey including Smartphone Dependence and Addiction Scale, PHQ-9, and GAD-7 was applied. Prevalence ratios were estimated using generalized linear models.

RESULTS

Smartphone overuse was a common feature among students (n = 291, 79%). Depressive symptoms were present in 290 (78%) students and anxiety symptoms in 255 (69%). Adjusted for confounders, addictive/dependent smartphone use was significantly associated with presence of depressive symptoms (PR = 1.29, 95% CI: 1.20-1.38 for dependent use; PR = 1.30, 95% CI: 1.12-1.50 for addictive use). Also, addictive/dependent smartphone use was significantly associated with presence of anxiety symptoms (PR = 1.59, 95% CI: 1.14-2.23 for dependent use; PR = 1.61, 95% CI: 1.07-2.41 for addictive use).

CONCLUSIONS

Our findings suggest that medical students exposed to smartphone overuse are vulnerable to mental disorders. Overuse may reflect an inappropriate way of finding emotional relief, which may significantly affect quality of life and academic performance. Findings would assist faculties to establish effective measures for prevention of smartphone overuse.

Associations Between Online Learning, Smartphone Addiction Problems, and Psychological Symptoms in Chinese College Students After the COVID-19 Pandemic

Background

Smartphone-based online education gained popularity during and after the COVID-19 pandemic. Although recent studies have highlighted the association between problematic smartphone use (PSU) and mental health symptoms, the potential role of online learning in this relationship remains unclear. This study aimed to analyze the relationships between higher education modes, PSU, and related psychological symptoms in university students.

Methods

A total of 1,629 Chinese university students from five provinces completed a web-based questionnaire survey between March 2020 and October 2021. Demographic characteristics and learning conditions were recorded. All participants completed the Smartphone Addiction Scale-Short Version, Patient Health Questionnaire, Generalized Anxiety Disorder Scale, and Athens Insomnia Scale. Multiple regressions models and stratified analyses were used to examine the association between online education mode, PSU, and symptoms of depression, anxiety, and insomnia.

Results

The prevalence of PSU was 58.5%. Students who relied primarily on online learning had a higher prevalence of depressive symptoms (29.95% vs. 22.24%), anxiety symptoms (25.13% vs. 18.91%), and insomnia symptoms (75.89% vs. 70.27%) than those who relied on traditional face-to-face learning (Ps < 0.05). After adjusting for covariates, subjects with PSU were more likely to report depressive symptoms (AdjOR = 3.14, 95% CI = 2.26–4.37), anxiety symptoms (AdjOR = 3.73, 95% CI = 2.13–4.59), and insomnia symptoms (AdjOR = 2.96, 95% CI = 2.23–3.92) than those without PSU. Furthermore, the associations of PSU with depressive symptoms (OR = 4.66 vs. 2.33, P for interaction = 0.015) and anxiety symptoms (OR = 6.05 vs. 2.94, P for interaction = 0.021) were more pronounced in the online learning group.

Conclusion

Our study provides preliminary evidence that Chinese university students have serious smartphone addiction problems, which are associated with depressive, anxiety, and insomnia symptoms. Online learning is found to exacerbate PSU and mental health problems. Our findings provide valuable information for targeted psychological interventions in the post-COVID-19 era.

Prevalence of Addictive Behaviors in Medical Students and Their Association With Stress

OBJECTIVE

This study aims to investigate the prevalence of the addictive use of the internet, smartphone, and alcohol in medical students, the association of this addictive use with stress, and the mediating roles of resilience and self-esteem in this association.

METHODS

A total of 866 medical students completed measures of three addictive uses as well as psychological scales for stress, resilience, and self-esteem. Correlation analyses and parallel mediation analysis were carried out.

RESULTS

The prevalence of potential-risk and high-risk users was 5.8% and 1.7% for internet use, 5.4% and 2.2% for smartphone use, 22.6% and 5.3% for alcohol use, respectively. All three addictive behaviors tended to increase in terms of prevalence or mean score according to an increase in a students' grade. Stress was positively correlated with internet use (r=0.324, p<0.001) and smartphone use (r=0.347, p<0.001). Resilience and self-esteem were found to be mediators in the association between stress and internet use or smartphone use.

CONCLUSION

These findings suggest that addictions in medical students are as prevalent as in a general population and that internet use and smartphone use may be better explained by a stress-addiction model with resilience and self-esteem as mediators than alcohol use.

Perceived stress and mobile phone addiction among college students: The roles of self-control and security

OBJECTIVE

According to the General Strain Theory, stress can lead to a range of problem behaviors. In the current study, we focused on the association between perceived stress and mobile phone addiction. We hypothesized that this association is mediated by low self-control and that the first path of the mediation is moderated by security.

METHODS

College students (N = 397; ages 16-21; 51.89% females) from a university in Hunan Province, China, were surveyed by cluster sampling method. The students completed the Smartphone Addiction Scale-Short Version (SAS-SV), the Depression Anxiety Stress Scale (DASS-21), the Self-Control Scale (SCS), and the Security Questionnaire (SQ) during regular class time. SPSS26.0 statistical software was used for descriptive statistics and Pearson correlation analyses, the SPSS macro PROCESS was used to test the mediating effects of self-control and the moderating role of security.

RESULTS

Mediation analysis showed that as expected, perceived stress was associated with lower self-control, which in turn was associated with a higher risk for mobile phone addiction. Also as expected, moderated mediation analysis indicated that the association between perceived stress and self-control was moderated by security. Specifically, the relationship between perceived stress and self-control was stronger for low security.

CONCLUSION

This study provides useful insight into the understanding of how perceived stress increases the risk of mobile phone addiction. The results are consistent with the General Strain Theory and further indicate that concrete approaches are required for the prevention and intervention to reduce mobile phone addiction among college students.

Excessive smartphone use and its correlations with social anxiety and quality of life among medical students in a public university in Malaysia: A cross-sectional study

INTRODUCTION

Smartphone usage has significantly increased in the last decade among young adults has significantly increased in the last decade. While its benefits are undeniable, its negative implications are increasingly emerging. Studies are needed to investigate the effects of excessive smartphone use on a young person's life. This study aimed to determine the prevalence of excessive smartphone use among medical students and its relations with social anxiety, self-esteem, and quality of life.

METHODS

A cross-sectional study was conducted among medical students from Universiti Kebangsaan Malaysia (UKM) in UKM Medical Center. A total of 273 students have consented to participate and completed self-reported questionnaires encompassing sociodemographic information, the Short Version Smartphone Addiction Scale (SAS-SV), the Social Interaction Anxiety Scale (SIAS), the World Health Organization Quality of Life (WHOQOL-BREF) and the Rosenberg Self-esteem Scale (RSES). Sociodemographic data, SIAS score, WHOQOL-BREF score and the Rosenberg Self-esteem Scale score were treated as independent variables. Smartphone addiction Scale score was treated as the dependent variable. Bivariate analysis was used to explore the relationship between independent and dependent variables using the Fisher exact test, Pearson Chi-Square and Pearson correlation coefficient. Multiple linear regression analysis was used to analyze the variables with a p-value of < 0.05 from the Pearson correlation coefficient test.

RESULTS

The percentage of excessive smarphone use among UKM medical students is 48%. The bivariate analysis showed that excessive smartphone use has a small but significant positive correlation with social anxiety (r = 0.173, p = 0.004) and negative correlations with physical health (r = -0.133, p = 0.028), psychological wellbeing (r =-0.135, p = 0.026), social relationships (r = -0.232, p = 0.001), environment (r = -0.260, p = 0.001) and self-esteem (r = -0.128, p = 0.035). In the multiple regression analysis, a better environment predicted a reduced risk for smartphone addiction (β = -0.233, p = 0.013).

CONCLUSION

Almost half of the students were found to have smartphone overdependence. Excessive smartphone use has shown a significant relationship with an increased risk for social anxiety, reduction in self-esteem, and quality of life among medical students. A closer look into the possible intervention is needed in the future to curb the negative effects arising from excessive smartphone use.

Smartphone addiction and personality traits among Lebanese adults: the mediating role of self-esteem

Smartphone usage in Lebanon is increasing constantly. Lebanese population especially university students were described to be at a higher risk of smartphone addiction compared to the general population. To our knowledge there has been no study in the literature that investigated the mediating effect of self-esteem when assessing personality traits and smartphone addiction in young adults. The aim of our study was to assess factors associated with smartphone addiction and investigate the mediating role of self-esteem in the association between smartphone addiction and personality traits. A cross-sectional study was carried out between August and September 2020, during the lockdown period imposed by the government for the COVID-19 pandemic and that coincides with the summer season vacation for most Lebanese, using a sample of community-dwelling participants aged 18 to 29 years. The snowball technique was followed for participants' recruitment. The results showed that the mean age of the participants was 22.25 ± 2.87 years, with 70.9% females. The results showed that 216 (46.9%) of the participants had smartphone addiction. Higher negative emotionality (Beta = 0.17) was significantly associated with more smartphone addiction, whereas higher self-esteem (Beta = -0.37) and household crowding index (Beta = -1.58) were significantly associated with less smartphone addiction. Self-esteem mediated the association between negative emotionality and smartphone addiction. Lebanese young adults were found to be at a high risk of smartphone addiction. These results might serve as a first step towards implementing preventive measures to reduce smartphone addiction. Improving face to face communication, as well as setting specific time for cell phone usage might help reduce the development of addictive behaviors.

Prevalence and Associated Factors of Problematic Smartphone Use During the COVID-19 Pandemic: A Bangladeshi Study

Background

Problematic smartphone use (PSU) has been increasing hastily in recent decades, and it has become inseparable during the COVID-19 pandemic, especially among the students who are at risk of problematic smartphone use. Therefore, the present study aimed to investigate the prevalence and associated factors of PSU during the COVID-19 pandemic among the Bangladeshi students.

Methods

A total of 601 Bangladeshi students were recruited through an online-based cross-sectional survey that was conducted between October 7 and November 2, 2020. The survey collected information related to socio-demographics, behavioral health, internet use behaviors, depression, anxiety, and PSU. Independent samples t-test and one-way ANOVA were performed to present the relationship between the studied variables and PSU. Multiple linear regression analysis was also used for investigating the explanatory power of the predictive models for PSU.

Results

Surprisingly, about 86.9% of the students scored to be problematic smartphone users (≥21 out of a total 36 based on the Smartphone Application-Based Addiction Scale). In addition, medical students, engaging in a relationship, performing less physical activity, longer duration of internet use, some sorts of internet use purpose (eg, messaging, watching videos, using social media), depression, and anxiety were significantly associated with higher scores of PSU. After adjusting all the studied variables, the final model explained a 31.3% variance predicting PSU.

Conclusion

The present study is one of the first approaches to assess the prevalence of PSU among the Bangladeshi students during the COVID-19 pandemic, whereas the addiction level was superfluous (and this may be due to more online engagement related to the pandemic). Thus, the study recommended strategies or policies related to the students' risk-reducing and healthy use of smartphones.

Is there a relationship between nursing students' smartphone use, their fear of missing out and their care-related behaviour?

AIM

This study aims to determine the relationship between smartphone use among intern nursing students, fear of missing out and their care-related behaviour.

BACKGROUND

Today, smartphone use is common and fear of missing out is a prominent issue in our society; this behaviour and issue are linked and may lead to adverse consequences.

DESIGN

The study is conducted as a cross-sectional design.

METHODS

The target population in this research consists of senior nursing students (n = 101). There was no sampling selection and the study was completed with 97 students who agreed to participate in the research. Data were collected with introductory questionnaire forms, the Smartphone Addiction Scale (SAS), the Fear of Missing Out Scale (FoMOs) and the Caring Assessment Questionnaire (Care-Q). The valid and reliable SAS, FoMOs and Care-Q were transformed into online forms and the link was distributed to the participants via online Google forms.

RESULTS

Based on the results of the study, the mean scores were 83.30 ± 2.21 of SAS, 21.56 ± 6.42 for FOMOs and 5.54 ± 0.87 for Care-Q scale. There were statistically significant differences between gender and Care-Q score and between the duration of smartphone use, daily smartphone usage time and SAS score (p < 0.05). There was a weak positive relationship between SAS and FoMOs scale scores, along with a weak negative relationship between the accessibility and comfort sub-dimensions of the SAS and Care-Q scale. Also, the SAS score explains 0.4% of the comfort subscale of the Care-Q scale (p < 0.05).

CONCLUSIONS

Further research focusing on nursing students is recommended to identify potential adverse effects created by the use of smartphones and the fear of missing out. In addition, educators are recommended to develop guidelines and prepare new policies for smartphone use to minimise the potential negative effects of smartphone use and fear of missing out on student care behaviour.

Problematic Smartphone Use-Comparison of Students With and Without Problematic Smartphone Use in Light of Personality

Background: As a device with multiple functions, a smartphone become more and more relevant in everyday life. However, this goes along with an increase in reports about smartphone addiction and its unwanted consequences. One of the most important variables in the etiopathogenesis of addictive smartphone use is personality. Objective: This study aimed to investigate predictors of problematic smartphone use. Clinically relevant differences in personality, psychopathology, and social support between students with and without problematic smartphone use were investigated. Method: All currently enrolled students at the Sigmund Freud University in Vienna (N = 1,836) were surveyed. Response rate was 27.07% (N = 497, age: M = 19.6, SD = 8.04). The Smartphone Addiction Scale (SPAS), the 10-Item Big Five Inventory (BFI-10), the Brief Symptom Inventory (BSI-18), and a questionnaire on social support (F-SozU-K-14) were used. Results: A total of 75 students (15.1% of the total sample) showed problematic smartphone use. In terms of personality, respondents with problematic smartphone use showed significantly higher values for extraversion and neuroticism compared than non-addicted users. Students with problematic smartphone use showed significantly higher levels in terms of depression and anxiety. Contrary to expectations, individuals with problematic smartphone use showed significantly higher values for perceived social support than with individuals without problematic smartphone use. Discussion: Therapy for problematic smartphone use should be carried out taking into account discussed, important etiological factors, such as personality.