The smartphone addiction scale: development and validation of a short version for adolescents

Problematic smartphone use and mental health outcomes among Singapore residents: The health and lifestyle survey

BACKGROUND

The excessive use of smartphones and its association with adverse outcomes has been widely reported, with several studies showing an association between smartphone overuse, depression, anxiety, and sleep-related problems.

METHODS

The study used data from the Health and Lifestyle Survey, a nationwide population survey. It examined the prevalence of Problematic Smartphone Use (PSU) and its association with mental health outcomes among Singapore residents aged 15-65 years.

PARTICIPANTS

Participants were assessed for PSU using the Smartphone Addiction Scale-Short Version, psychological distress with the Patient Health Questionnaire-9, and Generalised Anxiety Disorder -7 questionnaire, sleep problems using the Insomnia Severity Index, and positive mental health with Rapid Positive Mental Health Instrument.

RESULTS

In all, 6509 participants completed the survey, giving a survey response rate of 73.2 %. The prevalence of PSU was 30.2 % in the population. Individuals with PSU were more likely to have symptoms of moderate or severe depression (OR: 3.2, 95 % CI: 2.4-4.4), anxiety (OR: 3.4, 95 % CI: 2.4-4.8), insomnia (OR: 3.4, 95 % CI: 2.8-4.2), and poorer positive mental health (β: -0.3, 95 % CI: -0.4 to -0.2).

CONCLUSIONS

The study is the first to examine PSU in a national sample of Singaporeans across a wide age range. It provides valuable insights into mental health comorbidities among those with PSU, which is useful for practitioners.

Comparing the prevalence of nomophobia and smartphone addiction among university students pre-COVID-19 and during COVID-19

BACKGROUND

This study aimed to: (a) explore differences in the prevalence of nomophobia and smartphone addiction (SA) from pre- to during COVID-19; (b) identify students' self-reported changes in smartphone reliance and screen time during COVID-19; and (c) examine whether self-perceived changes in smartphone usage predicted nomophobia and SA scores.

METHODS

Scores on the Nomophobia Questionnaire and Smartphone Addiction Scale between two surveys administered at two timepoints were compared: Sample 1 (September 2019-January 2020; N = 878) and Sample 2 (May-June 2020; N = 258).

RESULTS

No significant differences were found between samples on nomophobia or SA. Nearly all of Sample 2 reported using some type of app more, using their smartphone a little more, and about the same perceived smartphone reliance during COVID-19. Increased screen time, smartphone reliance, and social media significantly predicted nomophobia and SA.

CONCLUSION

COVID-19 does not appear to have exacerbated the prevalence of nomophobia or SA.

Wellbeing and Problematic Smartphone Use: Serial Mediation of Mindfulness and Self-Compassion

The relationship between wellbeing and Problematic Smartphone Use (PSU) has been explored in the past, however, the role of the potential mediators of this association is a relatively neglected area of research. Therefore, the current study examined mindfulness and self-compassion as mediators of the relationship between wellbeing and PSU in 220 university students. WHO-5 Wellbeing Index, Mindful Attention Awareness Scale- State, Self-Compassion Scale- Short form and Smartphone Addiction Scale- Short version were used for assessing wellbeing, mindfulness, self-compassion, and PSU respectively. Wellbeing had a direct and indirect effect on PSU. In addition, results supported a serial mediation model where wellbeing was found to influence PSU via mindfulness and self-compassion in a sequential manner. The results expanded the Compensatory Internet Use Theory (CIUT) to understand PSU and have implications for the management of PSU.

'There's more to life than staring at a small screen': a mixed methods cohort study of problematic smartphone use and the relationship to anxiety, depression and sleep in students aged 13-16 years old in the UK

BACKGROUND

Depression and anxiety are common in adolescents and have increased over the last decade. During that period, smartphone usage has become ubiquitous.

OBJECTIVES

The study aim was to assess the association between problematic smartphone usage (PSU) and anxiety.

METHODS

Using a prospective mixed methods cohort study design, students aged 13-16 year old from two schools were enrolled regarding their smartphone use, mood and sleep via a semistructured questionnaire at baseline and week 4. The primary outcome was symptoms of anxiety (Generalised Anxiety Disorder Questionnaire, GAD-7) and exposure was PSU (Smartphone Addiction Scale Short Version). A linear regression was fitted to assess the change in anxiety. Thematic analysis of free-text responses was conducted.

FINDINGS

The sample included 69 participants that were enrolled and followed up between 28 March and 3 June 2022. Of those with PSU, 44.4% exhibited symptoms of moderate to severe anxiety compared with 26.4% of those without PSU. There was a linear association between change in symptoms of anxiety and PSU β=0.18 (95% CI 0.04 to 0.32, p=0.013). Several themes were found: both positive and negative effects of smartphones on relationships; negative effects on school performance and productivity; mixed effects on mood; a desire to reduce the amount of time spent on smartphones.

CONCLUSIONS

Increased anxiety, depression and inability to sleep were seen in participants as their PSU score increased over time. Participants reported both positive and negative effects of smartphones and almost all used strategies to reduce use.

CLINICAL IMPLICATIONS

Interventions need to be developed and evaluated for those seeking support.

The Impact of Executive Dysfunction on Anxiety in Hearing-Impaired College Students: Smartphone Addiction as a Mediator and Academic Procrastination as a Moderator

Purpose

Hearing-impaired college students often rely on smartphones for information exchange and social interaction due to their hearing limitations, which may increase their risk of smartphone addiction. This study aims to explore the impact of executive dysfunction on anxiety levels in hearing-impaired college students, investigating smartphone addiction as a mediator and academic procrastination as a moderator.

Methods

We conducted a questionnaire survey using the Executive Function Scale, the Anxiety Scale, the Smartphone Addiction Scale, and the Academic Procrastination Scale. The survey included 609 hearing-impaired college students from three universities in Jiangsu, Hunan, and Heilongjiang Provinces, China.

Results

After controlling for age, executive dysfunction was found to significantly predict higher anxiety levels in hearing-impaired college students. Additionally, smartphone addiction partially mediated the relationship between executive dysfunction and anxiety. Academic procrastination further moderated the relationship between smartphone addiction and anxiety.

Conclusion

This study enhances the understanding of the complex interactions between executive dysfunction, smartphone addiction, and academic procrastination in contributing to anxiety among hearing-impaired college students. The findings offer valuable insights for developing strategies to promote the mental health of this population.

The impact of social isolation on smartphone addiction among college students: the multiple mediating effects of loneliness and COVID-19 anxiety

Background

The widespread use of smartphones has significantly increased smartphone addiction among college students, especially during the COVID-19 pandemic. Since the COVID-19 outbreak, university campuses in mainland China have strictly followed the Chinese government's strict quarantine policy, including closed campus management, prohibitions against gatherings, and social distancing, increasing student loneliness and anxiety and thus increasing the risk of smartphone addiction. Extant Studies have revealed that social isolation is a prominent predictor of smartphone addiction but have failed to systematically explore the complex relationship between social isolation and smartphone addiction in the context of COVID-19; therefore, the underlying mechanisms of these factors in the post-pandemic era are unclear.

Objective

This study is the first attempt to consider loneliness, COVID-19 anxiety and social isolation as a whole and to clarify the underlying mechanisms of social isolation and smartphone addiction by constructing a multiple mediating model.

Method

This study included students enrolled at eight higher education institutions in Conghua District (Guangzhou city). Quota proportional sampling was adopted, 900 self-report questionnaires were distributed through the WeChat groups of these universities from December 10 to December 15, 2022, and 868 valid questionnaires (620 females, 248 males) were ultimately obtained.

Results

The direct effect of social isolation on smartphone addiction was significant, and loneliness and COVID-19 anxiety mediated the association between social isolation and smartphone addiction in both parallel and sequential ways. Moreover, a reverse mediation model with COVID-19 anxiety as the first mediator and loneliness as the second mediator was found.

Conclusion

College students who experience social isolation are at greater risk for smartphone addiction, and the core factor leading to their smartphone addiction is the subjective psychological state triggered by campus isolation and social distancing, such as loneliness and anxiety. These risky behaviors of people should receive extra attention, and psychological factors such as loneliness and COVID-19 anxiety should be considered in future therapies aimed at reducing addiction.

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

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

Smartphone Usage and Addiction among Undergraduate Dental Students in South India: A Cross-sectional Study

Background

Mobile phones have become a vital part of modern life, generating concerns about addiction among students. The present study aimed to assess smartphone usage and addiction among undergraduate dental students in Eluru, Andhra Pradesh.

Methods

A cross-sectional study was conducted among 304 dental students using a pre-designed questionnaire based on the Smartphone Addiction Scale Short Version (SAS-SV). Data was analyzed using descriptive and inferential statistics.

Findings

Out of 304 participants, most spent 3-4 hours on smartphones. Females showed slightly lower addiction scores than males. Addiction tendencies differed across different academic years, with second-year students scoring the highest.

Conclusion

The study's findings suggested that most dental students were addicted to smartphones. The study also revealed that having a smartphone was a crucial asset in their daily lives, and they preferred smartphones with advanced features.

The Associations Between Parental Phubbing, Adolescent Phubbing, and Adolescents' Adjustments: A Cross-Lagged Panel Network Analysis

A growing body of research indicates that phubbing can negatively influence adolescent development, it is not clear how perceived parental phubbing, adolescent phubbing, and adolescents' adjustment problems concurrently relate to each other at the dimension level. This study conducted the contemporaneous network analyses and cross-lagged network analysis to examine the distinct relationships between the various dimensions of perceived father phubbing, perceived mother phubbing, adolescent phubbing and adolescent's adjustment problems. A total of 1447 Chinese students (60.5% females; Mean age = 16.15, SD = 0.65) completed a survey at two-time points. The results of the contemporaneous network analyses indicated that perceived father/mother ignorance have the strongest links with the dimensions of adolescent phubbing and adolescents' adjustment problems, suggesting that adolescents who reported high levels of perceived father/mother ignorance are more likely to concurrently face other issues and thus should be a primary focus of concern. The cross-lagged panel network analysis revealed that academic burnout is the primary catalyst in this dynamic network, which underscores a child-driven effect within the network. This emphasizes the importance of addressing adolescent academic burnout as a pivotal intervention point, both to alleviate phubbing in parent-adolescent interactions and to tackle adolescents' adjustment problems.

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.

Mindfulness programs for problematic usage of the internet: A systematic review and meta-analysis

Introduction

Problematic usage of the internet (PUI) is an umbrella term for a range of uncontrolled, excessive, and potentially harmful online behaviors. Recently, numerous studies have examined the potential of mindfulness programs (MPs) for reducing PUI. We conducted a comprehensive systematic review and meta-analysis in this emerging field.

Methods

We searched eight databases from inception to October 18, 2022, with no language restrictions. We included randomized controlled trials (RCTs) and nonrandomized trials (NRTs). The primary outcome was change in self-reported PUI, the secondary outcome was change in screen time.

Results

Of 3,473 identified records, 19 RCTs and 20 NRTs with a total of 1,549 participants were included. Participation in an MP was associated with large reductions in PUI in between-group analysis in RCTs (k = 19; g = -1.67; 95% CI -2.15, -1.19) and in within-group pre-post analysis in all studies (k = 35; g = -1.67; 95% CI -1.99, -1.36). Screen time showed a medium reduction in within-group pre-post analysis (k = 10; g = -0.65; 95% CI -0.90, -0.41). The effects for PUI remained significant in a series of sensitivity analyses, such as excluding low quality studies, excluding outliers, adjusting for publication bias, or using follow-up data. Heterogeneity between studies was high and the overall quality of evidence was rated low.

Discussion and conclusions

MPs are probably effective in reducing PUI and might be effective in reducing screen time. Shortcomings in the quality of evidence highlight the need for high-quality controlled trials with long-term follow-ups to confirm results.

Is decreasing problematic mobile phone use a pathway for alleviating adolescent depression and sleep disorders? A randomized controlled trial testing the effectiveness of an eight-session mindfulness-based intervention

Objective

The present study aimed to evaluate the efficacy of a mindfulness-based cognitive therapy (MBCT) intervention in reducing problematic mobile phone use, depression, and sleep disorders among adolescents. Additionally, it sought to investigate whether the decrease in problematic mobile phone use acted as a mediator in the relationship between the MBCT intervention and adolescent depression and sleep disorders.

Methods

In a randomized controlled trial, a total of 104 adolescents were randomly assigned to the mindfulness group (n = 52) or the wait-list control group (n = 52). The mindfulness group students completed eight 45-min sessions of mindfulness training in four weeks. The outcomes were measured at baseline, postintervention, and at the 2-month follow-up.

Results

Compared with the control group, the mindfulness group had significantly greater levels of mindfulness and lower levels of problematic mobile phone use, depression, and sleep disorders postintervention. The intervention effects were maintained at the 2-month follow-up. In addition, decreased problematic mobile phone use significantly mediated the association between the MBCT intervention and decreased depression and decreased sleep disorders.

Conclusion

The findings suggest that MBCT could improve adolescent depression and sleep disorders and that decreasing problematic mobile phone use is an effective pathway accounting for the MBCT intervention effect on adolescent depression and sleep disorders.

From everyday life to measurable problematic smartphone use: The development and validation of the Smartphone Use Problems Identification Questionnaire (SUPIQ)

Background and aims

Problematic smartphone use (PSU) has gained attention, but its definition remains debated. This study aimed to develop and validate a new scale measuring PSU-the Smartphone Use Problems Identification Questionnaire (SUPIQ).

Methods

Using two separate samples, a university community sample (N = 292) and a general population sample (N = 397), we investigated: (1) the construct validity of the SUPIQ through exploratory and confirmatory factor analyses; (2) the convergent validity of the SUPIQ with correlation analyses and the visualized partial correlation network analyses; (3) the psychometric equivalence of the SUPIQ across two samples through multigroup confirmatory factor analyses; (4) the explanatory power of the SUPIQ over the Short Version of Smartphone Addiction Scale (SAS-SV) with hierarchical multiple regressions.

Results

The results showed that the SUPIQ included 26 items and 7 factors (i.e., Craving, Coping, Habitual Use, Social Conflicts, Risky Use, Withdrawal, and Tolerance), with good construct and convergent validity. The configural measurement invariance across samples was established. The SUPIQ also explained more variances in mental health problems than the SAS-SV.

Discussion and conclusions

The findings suggest that the SUPIQ shows promise as a tool for assessing PSU. Further research is needed to enhance and refine the SUPIQ as well as to investigate its clinical utility.

Clinical Manifestations' Spectrum of Smartphone Addiction: Moving from an Addiction toward a Clinical Syndrome

Background

Smartphone addiction is an emerging type of addiction in the digital era, characterized by smartphone dependence that negatively affects human health with a wide range of psychological and physical manifestations.

Objective

This study aimed to evaluate the detailed clinical manifestations of smartphone addiction as a delineated clinical syndrome.

Methods

A cross-sectional study design was employed to assess smartphone addiction prevalence and its health impacts among Syrian undergraduates using the Smartphone Addiction Scale-Short Version (SAS-SV 2013), the Kessler psychological distress scale (K-6), and a comprehensive assessment of the clinical manifestations frequently linked to smartphone addiction in the literature. Different statistical modeling techniques were applied; a P value of < .05 was considered statistically significant.

Results

Of 1532 invited undergraduates, 1401 (91.45%) completed the assessment adequately. Most participants were females (59.7%) and below 23 years of age (73.2%). The prevalence of smartphone addiction was 67.80%; statistically significant smartphone addiction associations were revealed with psychological distress (P < .0001) with odds ratios of 3.308. Most screened physical manifestations also showed a significant association with smartphone addiction.

Conclusion

A high prevalence of smartphone addiction was observed with a broad spectrum of associated mental and physical manifestations. As smart device addiction becomes a global health concern, combining the clinical findings reported in the related literature into one clinical identity is necessary to develop a holistic management approach for the delineated clinical syndrome.

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.

Effect of an Intervention Based on the Health Action Process Approach Model on Mobile Phone Addiction in Adolescents

Background

Mobile phone addiction in adolescents is a serious social problem that not only negatively affects physical and mental health but also hinders social stability and development. However, studies on interventions for mobile phone addiction in adolescents are still few. Therefore, exploring interventions for mobile phone addiction in adolescents and scrutinizing the corresponding mechanism of action are crucial.

Methods

A questionnaire survey was conducted on 800 adolescents who were recruited using random sampling from communities in Hubei Province, China in 2023, and 232 of them were identified to have mobile phone addiction. Then, they were randomly divided into the experiment group, comprising 119 members, and the control group, composed of 113 members. The experiment group was given a 3-month intervention under the Health Action Process Approach (HAPA) model, whereas the control group was given no intervention.

Results

This intervention significantly reduced the level of mobile phone addiction in adolescents (P<0.05). It also significantly improved self-efficacy in adolescents with mobile phone addiction (P<0.05). The intervention can significantly improved life satisfaction in adolescents with mobile phone addiction (P<0.05). Self-efficacy and life satisfaction had a chain mediating effect (P<0.001).

Conclusion

The HAPA model is conducive to alleviating mobile phone addiction. It further enhances the intervention effect by improving self-efficacy and life satisfaction in adolescents.

Postponing sleep after a stressful day: Patterns of stress, bedtime procrastination, and sleep outcomes in a daily diary approach

Sleep problems and stress are common among students and are associated with negative effects on academic performance as well as mental and physical health risks, but studies exploring mediating factors between stress and sleep on a daily basis are scarce. This study aimed to investigate the relationship of daily stress, Bedtime procrastination (BP) (i.e., postponing bedtime without external reasons), and sleep outcomes controlling for trait factors such as self-control. N = 96 students at a German university (M = 22.2 years, SD = 4.0) wore a sleep-tracking wearable (Fitbit Charge HR) for two weeks to assess sleep duration and to calculate the gap between the intended time to go to sleep and the objectively measured time of falling asleep. Stress, intended time to go to sleep, and sleep quality were assessed via daily diaries. Established questionnaires were used to measure trait self-control, trait BP, and smartphone addiction. Multilevel analyses indicated that more stress experienced during the day was associated with more BP (b = 2.32, p = 0.008), shorter sleep duration (b = -3.46, p = 0.003), and lower sleep quality (b = 1.03, p = 0.005) after controlling for several trait factors. The association of daily stress with sleep outcomes (quality and duration) was partly mediated by BP. Our findings indicate that BP might be one factor that contributes to stress-linked decreases in sleep duration and quality. Potential reasons for stress-related later time to fall asleep-like higher physiological arousal or stress-related worries-should be investigated in future studies.

Perceived impact of a smartphone application: Knowledge, awareness, attitudes, and intention to change an abnormal neck posture among smartphone-addicted undergraduates

Objectives: This study explored the perceived impact of a smartphone app on awareness, knowledge, attitudes, help-seeking, behavior change, and intention to change an abnormal posture of the neck while using smartphones among undergraduates addicted to smartphone use. Patients and methods: This descriptive survey involved smartphone-addicted undergraduates recruited between February 2022 and July 2022. The self-administered questionnaires used for gathering the data were a smartphone addiction survey and a mobile app rating scale on app-specific query assessing changes in awareness, knowledge, attitude, intention to change, health-seeking, and behavior change. Results: The questionnaire was completed by 316 participants (218 females, 98 males; mean: 20.7±2.6 years; range, 16 to 35 years). One hundred forty-two (44.9%) of the respondents strongly agreed that the app improved awareness, while 143 (45.3%) strongly agreed that the app improved knowledge about the significance of addressing abnormal posture of the neck while using smartphones. One hundred thirty-two (41.8%) were of the opinion that the app could change participant attitudes, and 135 (42.7%) agreed that the app could increase intentions toward improving abnormal posture of the neck. One hundred eighteen (37.3%) participants agreed that the app could promote help-seeking for abnormal posture of the neck. Respondents' age had a negative weak correlation with intention to treat (r=-0.191, p=0.001) and help-seeking (r=-0.199, p=0.0001). Conclusion: Most of the respondents in this study agreed that the CerviTech app could increase awareness, knowledge, attitude, intention to change, help-seeking, and behavior change of abnormal posture of the neck while using smartphones, with significant impact according to the age of the respondents regarding the intention to change and help-seeking behavior.

The Effects of Smartphone Addiction on Academic Performance Among Undergraduate Medical Students in Karnataka, India: A Multi-centric Study

Background and objective While smartphones offer various benefits, addiction to them among young people poses a serious problem for parents and educators globally. Several studies have tried to assess the impact of the excessive use of/addiction to smartphones on students' overall academic performance. While a few studies have found a positive impact, most have observed a negative impact, mainly in the form of deterioration of mental and physical health and academic performance of students. In light of this, we conducted this study in three medical colleges in Karnataka, India with the objectives of determining the effect of smartphone addiction on the academic performance of undergraduate medical students and to identify the risk factors associated with it. Material and methods This cross-sectional study, conducted between July 2022 and October 2023, involved undergraduate medical students from Yenepoya Medical College, Subbaiah Institute of Medical Sciences, and Adichunchanagiri Institute of Medical Science. A total of 481 students were enrolled by stratified random sampling. Data were collected with the help of Google Forms by using a pre-tested questionnaire. Mobile phone addiction was assessed by using the smartphone addiction scale-short version (SAS-SV). Results Among 481 students, 211 (43.9%) were found to be mobile phone addicts. An independent t-test showed that academic performance was negatively affected in students who were mobile phone addicts. Multivariate logistic regression analysis revealed several factors significantly associated with mobile phone addiction, including male gender, regular mobile gaming, seeking recognition/popularity through social media, frequent smartphone checking, perceiving smartphone use as more attractive than other activities, limited co-curricular activities, and increased smartphone use during periods of depression or anxiety. Conclusions Based on our findings, smartphone addiction has a negative impact on the academic performance of students. To mitigate this issue, educational institutions should integrate efforts to tackle smartphone addiction into their curricula and prioritize addressing the identified risk factors.

Attentional Biases and Their Association with Substance-Use-Related Problems and Addictive Behaviors: The Utility of a Gamified Value-Modulated Attentional Capture Task

Background

Attentional biases towards reward stimuli have been implicated in substance use-related problems. The value-modulated attentional capture (VMAC) task assesses such reward-related biases. The VMAC task widely used in lab studies tends to be monotonous and susceptible to low effort. We therefore tested a gamified online version of the VMAC that aimed to increase participant engagement. Our goal was to examine how VMAC is associated with substance use-related problems and addictive behaviors, and whether this association is moderated by cognitive control.

Methods

We recruited 285 participants from an online community, including heavy alcohol users. All participants completed a novel gamified version of the VMAC task, measures of substance use and addictive behaviors (addictive-like eating behavior, problematic smartphone use), the WebExec measure of problems with executive functions, and the Stroop Adaptive Deadline Task (SDL) as a measure of cognitive control.

Results

The gamified VMAC task successfully identified value-modulated attentional capture effects towards high-reward stimuli. We found no significant associations between VMAC scores, problematic alcohol or cannabis use, addictive behaviors, or any moderation by a behavioral measure of cognitive control. Exploratory analyses revealed that self-reported cognitive problems were associated with more alcohol-, and cannabis-related problems, and addictive behaviors. Greater attentional capture (VMAC) was associated with more cannabis use-related problems among individuals with higher levels of self-reported cognitive problems.

Conclusions

Our study is one of the first to demonstrate the utility of the gamified version of the VMAC task in capturing attentional reward biases. Self-reported problems with cognitive functions represent a key dimension associated with substance use-related problems and addictive behaviors.

Impairments of Sociocognitive Functions in Individuals with Behavioral Addictions: A Review Article

Since little is known about the exact pattern of social cognitive impairments related to behavioral addictions, the aim of the PRISMA-oriented review was to (i) provide an overview of relevant empirical publications, and to (ii) to elucidate which specific aspects of social cognition (i.e., emotion recognition, empathy, and theory of mind (ToM)) are impaired in different types of behavioral addictions. Behavioral addictions have been associated with cognitive deficits which may contribute to impaired social cognitive functioning. More recently, this domain has been investigated in patients with behavioral addictions as impaired social cognition detrimentally affects daily functioning and thus forms a relevant target for treatment. A systematic search in the PubMed and Web of Science databases was performed focusing on social cognitive functions in behavioral addictions. Studies focusing on the same social cognitive component were grouped together, this was done based on the used assessment measures. In total, 18 studies met the specified inclusion criteria. Five studies focusing on emotion recognition concluded that individuals with behavioral addictions show impairments in this domain. As for the 13 studies focusing on empathy and/or ToM, most of them found deficits linked to different types of behavioral addictions. Only two studies, one of which was investigating a distinct population (multiplayer online role-playing gamers) did not link empathy to behavioral addictions. The results show that the majority of studies focusing on social cognition and behavioral addictions found some deficits. Additional research focusing on this topic is urgently needed in behavioral addictions, addressing several methodological issues.

A moderated chain mediation model examining the relation between smartphone addiction and intolerance of uncertainty among master's and PhD students

The theories of relational regulation and compensatory Internet use suggest that intolerance of uncertainty influences smartphone addiction (SPA), which in turn is influenced by other aspects. This study used previous results to examine how intolerance of uncertainty affects SPA in PhD and master's degree programs. A convenience sample comprising 1727 master's and PhD students (99.9 %; 50.7 % female; Mage = 27.71; SD = 3.80; range = 21-43) was recruited. Using established questionnaires, we measured SPA, anxiety, positive coping style, perceived social support, and intolerance of uncertainty. The results demonstrated that intolerance of uncertainty positively affects SPA in terms of predictive power. Furthermore, anxiety and positive coping style mediate that link in a cascade fashion. A greater SPA indicates that the individual is less likely to use a positive coping style, has a higher anxiety level, and has a lower tolerance for uncertainty. While thinking about how intolerance of uncertainty affects anxiety and positive coping style, perceived social support mediates the relationship. Intolerance of uncertainty has less impact on anxiety and positive coping style when perceived social support is high. These results indicate the possibility of examining SPA prevention and intervention from several angles. Therefore, emotional regulation, which modifies anxiety and the tendency to use a positive coping style, may reduce the impact of intolerance of uncertainty on SPA. Another successful strategy for reducing smartphone addiction is to provide social support from loved ones and the community at large.

Cohort profile: The Social media, smartphone use and Self-harm in Young People (3S-YP) study-A prospective, observational cohort study of young people in contact with mental health services

OBJECTIVES

The Social media, Smartphone use and Self-Harm (3S-YP) study is a prospective observational cohort study to investigate the mechanisms underpinning associations between social media and smartphone use and self-harm in a clinical youth sample. We present here a comprehensive description of the cohort from baseline data and an overview of data available from baseline and follow-up assessments.

METHODS

Young people aged 13-25 years were recruited from a mental health trust in England and followed up for 6 months. Self-report data was collected at baseline and monthly during follow-up and linked with electronic health records (EHR) and user-generated data.

FINDINGS

A total of 362 young people enrolled and provided baseline questionnaire data. Most participants had a history of self-harm according to clinical (n = 295, 81.5%) and broader definitions (n = 296, 81.8%). At baseline, there were high levels of current moderate/severe anxiety (n = 244; 67.4%), depression (n = 255; 70.4%) and sleep disturbance (n = 171; 47.2%). Over half used social media and smartphones after midnight on weekdays (n = 197, 54.4%; n = 215, 59.4%) and weekends (n = 241, 66.6%; n = 263, 72.7%), and half met the cut-off for problematic smartphone use (n = 177; 48.9%). Of the cohort, we have questionnaire data at month 6 from 230 (63.5%), EHR data from 345 (95.3%), social media data from 110 (30.4%) and smartphone data from 48 (13.3%).

CONCLUSION

The 3S-YP study is the first prospective study with a clinical youth sample, for whom to investigate the impact of digital technology on youth mental health using novel data linkages. Baseline findings indicate self-harm, anxiety, depression, sleep disturbance and digital technology overuse are prevalent among clinical youth. Future analyses will explore associations between outcomes and exposures over time and compare self-report with user-generated data in this cohort.

The Google Health Digital Well-Being Study: Protocol for a Digital Device Use and Well-Being Study

BACKGROUND

The impact of digital device use on health and well-being is a pressing question. However, the scientific literature on this topic, to date, is marred by small and unrepresentative samples, poor measurement of core constructs, and a limited ability to address the psychological and behavioral mechanisms that may underlie the relationships between device use and well-being. Recent authoritative reviews have made urgent calls for future research projects to address these limitations. The critical role of research is to identify which patterns of use are associated with benefits versus risks and who is more vulnerable to harmful versus beneficial outcomes, so that we can pursue evidence-based product design, education, and regulation aimed at maximizing benefits and minimizing the risks of smartphones and other digital devices.

OBJECTIVE

The objective of this study is to provide normative data on objective patterns of smartphone use. We aim to (1) identify how patterns of smartphone use impact well-being and identify groups of individuals who show similar patterns of covariation between smartphone use and well-being measures across time; (2) examine sociodemographic and personality or mental health predictors and which patterns of smartphone use and well-being are associated with pre-post changes in mental health and functioning; (3) discover which nondevice behavior patterns mediate the association between device use and well-being; (4) identify and explore recruitment strategies to increase and improve the representation of traditionally underrepresented populations; and (5) provide a real-world baseline of observed stress, mood, insomnia, physical activity, and sleep across a representative population.

METHODS

This is a prospective, nonrandomized study to investigate the patterns and relationships among digital device use, sensor-based measures (including both behavioral and physiological signals), and self-reported measures of mental health and well-being. The study duration is 4 weeks per participant and includes passive sensing based on smartphone sensors, and optionally a wearable (Fitbit), for the complete study period. The smartphone device will provide activity, location, phone unlocks and app usage, and battery status information.

RESULTS

At the time of submission, the study infrastructure and app have been designed and built, the institutional review board of the University of Oregon has approved the study protocol, and data collection is underway. Data from 4182 enrolled and consented participants have been collected as of March 27, 2023. We have made many efforts to sample a study population that matches the general population, and the demographic breakdown we have been able to achieve, to date, is not a perfect match.

CONCLUSIONS

The impact of digital devices on mental health and well-being raises important questions. The Digital Well-Being Study is designed to help answer questions about the association between patterns of smartphone use and well-being.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/49189.

Prevalence and factors associated with lateral epicondylitis among hospital healthcare workers

Background

Hospital healthcare workers have been reported to have a high prevalence of musculoskeletal disorders, but their association with lateral epicondylitis (LE) is unknown. This study aimed to clarify the prevalence of LE and its associated factors among hospital healthcare workers.

Methods

The present study included all staff members of a secondary emergency hospital who provided their consent to participate. Participants with a history of elbow joint trauma were excluded from this study. The diagnostic criteria for definite LE were: (1) pain in the elbow joint within 2 weeks of the study; (2) pain in the lateral epicondyle region on resisted extension of the wrist with the elbow extended; and (3) tenderness in the lateral epicondyle. The diagnosis of LE was defined by meeting all criteria. Age, height, weight, sex, dominant hand, occupation, years of employment, smoking history, drinking history, personal computer usage history, and smartphone usage history were investigated using a questionnaire. A physical examination, in addition to evaluation of pain in the lateral epicondyle, grip strength and wrist extension strength were measured. A statistical analysis was used to assess the prevalence of LE and its associated factors. All investigations, including the diagnosis of LE, were performed by a single orthopedic specialist.

Results

We evaluated 544 individuals, corresponding to approximately 80% of all staff members. The median age was 39 years (interquartile range, 30-48). The study population included 154 males and 390 females. The occupations of the participants were as follows: nurses (n = 265), doctors (n = 47), clerks (n = 93), therapists (n = 27), certified care workers (n = 23), medical technologists (n = 22), pharmacists (n = 19), and others (n = 48). LE was diagnosed in 30 limbs/30 individuals with a prevalence of approximately 5.5%. There was no difference in the prevalence of LE among occupations (P = .85). A logistic regression analysis revealed that age (odds ratio, 1.05; 95% confidence interval 1.01-1.1; P = .01) and smoking history (odds ratio, 2.94; 95% confidence interval 1.01-8.56; P = .04) were independently associated with LE.

Conclusion

This study was conducted to evaluate the prevalence of LE among hospital healthcare workers. The prevalence of LE was 5.5%, and LE was independently associated with age and smoking history.

Associations of problematic smartphone use with depressive symptoms and suicidal ideation in university students before and after the COVID-19 outbreak: A meta-analysis

BACKGROUND AND AIM

Problematic smartphone use (PSU) has been suggested to present with depressive symptoms and suicidal ideation (SI) as well as sleep disturbance, lack of social support, and emotional isolation. The aim of this systematic review and meta-analysis was to evaluate the association between PSU with depressive symptoms and SI in university students, and to determine the potential influence of the coronavirus disease 2019 (COVID-19) outbreak.

METHODS

Observational studies pertinent to our research were identified through comprehensive searches of the PubMed, Embase, Cochrane Library, and Web of Science databases. To account for potential heterogeneity, the random-effects models were employed to aggregate the findings.

RESULTS

Eighteen datasets from 17 case-control studies, including 24,019 university students, were included. Among them, 8,775 (36.5 %) had PSU. A higher prevalence of depressive symptoms (odds ratio [OR]: 2.40, 95 % confidence interval [CI]: 2.19 to 2.63, p < 0.001; prediction interval: 1.95 to 2.96) was observed in university students with higher scores for PSU measures. A subgroup analysis showed a stronger association between PSU and depressive symptoms after the COVID-19 outbreak as compared to that before the outbreak (OR: 2.76 versus 2.16, p for subgroup difference = 0.002), which explained the heterogeneity. The association between PSU and depressive symptoms in university students was similar to those reported in studies from China and other countries, and in studies with different quality scores. Finally, a meta-analysis of three studies suggested that PSU was also associated with the prevalence of SI (OR: 2.18, 95 % CI: 1.77 to 2.68, p < 0.001; I2 = 0 %).

CONCLUSION

In university students, PSU may be a risk factor for depressive symptoms and SI, and the association between PSU and depressive symptoms became stronger after the COVID-19 outbreak.

Prevalence of Smartphone Addiction and its Relationship with Obesity among Young Adults: A Cross-sectional Study from Delhi, India

Smartphone addiction (SA) has emerged as an important health concern worldwide. Recent studies have recognized SA as one of the factors that promote sedentarism and can contribute to obesity. However, the relationship between SA and obesity among Indian young adults remains understudied. The present study aims to estimate the prevalence of SA and explore its association with general and central obesity among young adults in Delhi, India. This cross-sectional study was conducted among 246 young adults (aged 18-30 years) of either sex (60.16% females) from Delhi. Screening for SA was done using the Smartphone Addiction Scale-Short Version. Somatometric measurements (height, weight, waist circumference, and hip circumference) were taken to determine general and central obesity. SA was prevalent among 25.2% of the participants. The prevalence of SA was higher among males and undergraduate students than among females and postgraduate/MPhil/PhD students, respectively. Further, SA was not associated with any of the obesity variables. Interestingly, smartphone addicts were found to have a 2.5-fold increased risk of being underweight. Though SA was not associated with obesity, it was found to be associated with being underweight, indicating a relationship between smartphone use and nutritional status among young adults.

Relationship between smartphone addiction, loneliness, and depression in adolescents: A correlational structural equation modeling study

PURPOSE

This study was aimed to investigate the relationship between smartphone addiction, loneliness, and depression in adolescents.

DESIGN AND METHODS

This study was designed in a correlational-cross-sectional-descriptive model and was conducted with 1041 adolescents attending high schools in a provincial center in Eastern Turkey. The data were collected through face-to-face interviews using a personal information form, Smartphone Addiction Scale-Short Version for Adolescents, UCLA Loneliness Scale, and Kutcher Adolescent Depression Scale.

RESULTS

The average scores for smartphone addiction were found to be higher among females, individuals with low academic success, and those with a high-income level. Similarly, the average scores for loneliness were higher among individuals residing in broken families and those with parents who have limited literacy. Additionally, the mean scores for depression were higher among individuals with low academic success and those with a high-income level. Furthermore, a significant positive correlation was observed between the duration of smartphone use and levels of smartphone addiction, loneliness, and depression.

CONCLUSION

Smartphone addiction, loneliness, and depression were found to be prevalent above the moderate level in adolescents. Additionally, a significant positive correlation was observed between the depression and loneliness scores of adolescents.

PRACTICE IMPLICATIONS

Pediatric and school nurses should assess children's phone use. Nurses are well-positioned to establish a follow-up program aimed at monitoring adolescents' efforts in managing smartphone use, offering continuous support, and providing guidance when necessary. The implementation of such programs enables prompt intervention in addressing any arising issues.

Evaluation of the Relationship Between Smartphone Addiction and Lower Back Pain and Neck Pain Among Medical Students at Al-Baha University

Introduction In recent years, the increased use of smartphones has adversely affected students, leading to issues like musculoskeletal pain. Therefore, our objective was to assess the correlation between smartphone addiction and neck and lower back pain. Methodology An observational cross-sectional study was conducted at Al-Baha University, Al-Baha, Saudi Arabia. The Smartphone Addiction Scale Short Version (SAS-SV) was used to measure the level of smartphone addiction while the Nordic Musculoskeletal Questionnaire (NMQ) was utilized to evaluate musculoskeletal pain. Results Smartphone addiction was prevalent in 72% of the participants (n = 293). Significantly, lower back pain was associated with smartphone addiction (p-value = 0.004). However, none of the demographic characteristics were associated with neck or lower back pain (p-value > 0.05). Students in clinical years had a higher risk of neck pain than those in an internship (p-value = 0.048). Conclusion Almost two-thirds of the students were addicted to smartphones, with a significant association with lower back pain. Students addicted to their smartphones had a higher risk of developing lower back pain, while clinical-year students had a higher risk of developing neck pain. It's important to raise awareness about the health and safety dangers linked to smartphones and other devices.

Unlocking the potential of nanocarrier-mediated mRNA delivery across diverse biomedical frontiers: A comprehensive review

Messenger RNA (mRNA) has gained marvelous attention for managing and preventing various conditions like cancer, Alzheimer's, infectious diseases, etc. Due to the quick development and success of the COVID-19 mRNA-based vaccines, mRNA has recently grown in prominence. A lot of products are in clinical trials and some are already FDA-approved. However, still improvements in line of optimizing stability and delivery, reducing immunogenicity, increasing efficiency, expanding therapeutic applications, scalability and manufacturing, and long-term safety monitoring are needed. The delivery of mRNA via a nanocarrier system gives a synergistic outcome for managing chronic and complicated conditions. The modified nanocarrier-loaded mRNA has excellent potential as a therapeutic strategy. This emerging platform covers a wide range of diseases, recently, several clinical studies are ongoing and numerous publications are coming out every year. Still, many unexplained physical, biological, and technical problems of mRNA for safer human consumption. These complications were addressed with various nanocarrier formulations. This review systematically summarizes the solved problems and applications of nanocarrier-based mRNA delivery. The modified nanocarrier mRNA meaningfully improved mRNA stability and abridged its immunogenicity issues. Furthermore, several strategies were discussed that can be an effective solution in the future for managing complicated diseases.

The Impact of Problematic Smartphone Use on Sleep Quality Among Chinese Young Adults: Investigating Anxiety and Depression as Mediators in a Three-Wave Longitudinal Study

Background

Sleep disorders are a significant health issue that urgently needs to be addressed among undergraduate students, and one of the potential underlying problems could be problematic smartphone use (PSU). This study aimed to clarify the relationship between PSU and poor sleep quality by investigating the independent and serial mediating roles of anxiety and depressive symptoms in a population of university students in Tibet, China.

Methods

A total of 2993 Tibetan college students completed three waves of data surveys, with all participants completing questionnaires on PSU, anxiety, depressive symptoms, and sleep quality (Time 1 (T1) -Time 3 (T3)). Bootstrapped mediation analysis was used to explore the mediating role of anxiety and depressive symptoms in the longitudinal relationship between PSU and sleep quality.

Results

Both direct and indirect effects of PSU on poor sleep quality were found. PSU (T1) can had not only a direct negative influence on poor sleep quality (T3) among young adults (direct effect = 0.021, 95% CI = 0.010-0.033) but also an indirect negative impact via three pathways: the independent mediating effect of anxiety symptoms (T2) (indirect effect 1 = 0.003, 95% CI = 0.001-0.006), the independent mediating effect of depressive symptoms (T2) (indirect effect 2 = 0.004, 95% CI = 0.002-0.006), and the serial mediating effects of anxiety (T2) and depressive symptoms (T2) (indirect effect 3 = 0.008, 95% CI=0.005-0.011).

Conclusion

These findings highlight the role of anxiety and depression symptoms as joint mediating factors in the relationship between PSU and sleep disturbances. Interventions focused on improving sleep that incorporate behavioural measures could benefit from treatment approaches targeting mental disorders.

The Relationship between Reasons for Smartphone Use, Addictive Use Tendencies, Fear of Missing Out, Depression, and Life Satisfaction: A Qualitative and Quantitative Analysis

INTRODUCTION

In the present cross-sectional study, we investigated whether reasons for smartphone use are similar to those of social media use. Also, we explored links between reasons of smartphone use and mental health variables (problematic smartphone use, FOMO, depression symptoms, and life satisfaction) in Germany during the COVID-19 lockdown period.

METHODS

Overall, 571 smartphone users (Mage = 31.60, SDage = 12.73) provided their reasons for smartphone use. The reasons were assigned to six categories by an inductive qualitative content analysis.

RESULTS

Five of six reasons were similar to those of social media described by previous research. "Search for social interaction" goes along with less problematic smartphone use and depression symptoms and more life satisfaction. "Search for positive feelings" is associated with lower life satisfaction. More depressed people, those with problematic smartphone use tendencies, higher FOMO, and lower life satisfaction tend to "escape from negative emotions."

DISCUSSION

Our results help to understand the relationships between reasons for smartphone use and mental health variables.

Exploring the impact of smartphone addiction on decision-making behavior in college students: an fNIRS study based on the Iowa Gambling Task

The pervasive use of smartphones, while enhancing accessibility to information and communication, has raised concerns about its potential negative effects on physical and mental health, including the impairment of decision-making abilities. This study investigates the influence of smartphone addiction on decision-making in college students. A sample of 80 individuals aged 17 to 26 was selected and divided into two groups based on their Smartphone Addiction Scale-Short Version (SAS-SV) scores. Participants underwent the Iowa Gambling Task (IGT) to evaluate their decision-making in risky and uncertain conditions, while fNIRS recorded their prefrontal cortex activity. The study found that individuals prone to smartphone addiction tend to make riskier choices in risky situations. However, when faced with decisions based on ambiguity, the smartphone addiction group showed increased brain activity in the dlPFC (specifically in channels 4, 9, and 11) compared to when making risky decisions. Despite this increased brain activation, there was no observable difference in behavior between the addiction-prone and control groups in ambiguous scenarios. Notably, the left dlPFC (e.g., channel 4) exhibited significantly higher activation in the addiction group compared to the control group. Findings suggest that smartphone addiction can detrimentally influence decision-making, behaviorally and neurologically, particularly in uncertain contexts. This study supports the classification of smartphone addiction as a genuine addiction and underscores its significance in psychiatric research. In essence, our research underscores the adverse effects of excessive smartphone use on decision-making processes, reinforcing the necessity to treat smartphone addiction as a pressing public health issue.

Challenge-obstacle stressors and cyberloafing among higher vocational education students: the moderating role of smartphone addiction and Maladaptive

The start of higher vocational education and training is a new stage for students with a challenge between theoretical classes and the new expectations and demands of companies during the internship period. To understand some of the implications of stress on cyberloafing, we can distinguish between stress perceived as an obstacle that can be overcome - challenge stress - or as a threat that can block work performance - obstacle stress - and stress perceived as an obstacle that can be overcome - challenge stress - or as a threat that can block work performance - obstacle stress-. The aim of this research is to find out the relationships between challenge-obstacle stress in Cyberloafing, as well as the moderating effect of Smartphone Addiction and Maladaptive. In this study, the Challenge-Hindrance Stressors, Smartphone addiction scale-short version (SAS-SV) instrument, the Maladaptive subscale of the Cognitive Emotional Regulation Questionnaire (CERQ) and Cyberloafing were applied to 403 upper-level vocational training students from different secondary schools in all provinces of the autonomous community of Andalusia, Spain, distributed throughout the provinces that make up this autonomous community. The findings show that students' challenge stressors do not increase Cyberloafing, enabling them to cope with the academic demands and work challenges during the theory and internship period. On the contrary, obstacle stressors generate stressful situations that undermine the acquisition of objectives and development of academic competences. In our research we observe that challenge-obstacle stressors have a disparate influence on cyberloafing. Challenge stressors are negatively related to Maladaptive. The same is not true for obstacle stressors.

Smartphone Addiction and Related Factors among Athletes

Smartphone addiction (SA) is increasing worldwide. The aim of this study is to determine the level of SA in athletes affiliated to the Turkish Handball Federation in Izmir and to examine its relationship with factors such as sociodemographic status, health status, eating attitude, and body perception. This cross-sectional study was conducted in March-April 2021 in Izmir Province. The sample of the study consisted of 212 licensed handball athletes. The short SA scale, three-factor nutrition scale, and body perception scale were used. A chi-square test was used for bivariate comparisons and logistic regression analysis was used for multivariate comparisons. The study was completed with 202 individuals (the coverage rate was 95.3%). The prevalence of SA was found to be 27.7%. The risk of SA increased 2.49-fold (CI: 1.17-5.31, p = 0.018) in female participants, 2.01-fold (CI: 1.01-4.06, p = 0.048) in participants with alcohol use, 2.17-fold (CI: 1.04-4.58, p = 0.042) in participants with low nutritional scores, 2.65-fold (CI: 1.15-6.10, p = 0.022) in individuals with high-income status, and 2.66-fold (CI: 1.07-6.64, p = 0.036) in individuals with high body perception scale score. In total, 27.7% of the athlete sample had scores above the SA threshold. These results point out that a behavioral addiction such as SA can occur even in professionals of an activity such as sports, known for beneficial effects in terms of healthy life.

Cyberchondria and smartphone addiction: A correlation survey among undergraduate medical students in Egypt

BACKGROUND

There is an increase in smartphone usage globally. Cyberchondria (CYB) is characterized by excessive Internet searches for health information. Smartphone addiction is constantly rising among medical students together with CYB as a collateral emerging risk, yet there is limited research available on the topic.

METHODS

This cross-sectional study explores the rising phenomenon of smartphone addiction and its potential role in CYB among medical students in seven Egyptian universities. A total of 1435 medical students participated in completing online questionnaires that assessed smartphone addiction and CYB using the Smartphone Addiction Scale-Short Version (SAS-SV) and Cyberchondria Severity Scale (CSS-12). Multivariable regression analysis was applied to assess predictors of smartphone addiction and CYB.

RESULTS

Based on the used scales, 57.6% of students were suffering from smartphone addiction, and 85.8% exhibited a moderate degree of CYB. There was a significant positive correlation between smartphone addiction scores and CYB (p < 0.05). The multivariable regression models revealed that four factors including using Facebook, using WhatsApp, increasing time spent on the Internet per day, and a higher CYB score increase the probability of smartphone addiction. The factors that increase the probability of CYB are using Facebook, an increase in the frequency of Internet searches, a higher degree of worry about one's health or a family member's health, and being a smartphone addict.

CONCLUSION

Smartphone addiction among undergraduate medical students is prevalent. Social media use, time spent online, and smartphone addiction were linked with the risk of CYB. Regular physical activity decreases the probability of smartphone addiction. Awareness programs and increased mental and physical activities are required to help reduce smartphone addiction among youth.

Factors influencing smartphone overdependence among adolescents

Adolescents are particularly vulnerable to smartphone overdependence. Therefore, we identified the factors influencing smartphone overdependence and risk subgroups among adolescents. The current study is a secondary analysis of nationally representative data from the 2020 Korea Youth Risk Behavior Survey. The survey targeted middle- and high-school students in South Korea aged 12-18 using stratified, clustered, multistage probability sampling, and 53,457 students from 793 schools participated in this study. Complex sample data were analyzed considering the strata, clusters, and weights. Multiple logistic regression analysis revealed age, gender, household economic status, anxiety, loneliness, depressive symptoms, and experience of violent treatment as significant predictors of smartphone overdependence. Adolescents with severe anxiety were at a 3.326 times higher risk of smartphone overdependence than adolescents with minimal anxiety. Decision tree analysis showed that anxiety, gender, loneliness, and depressive symptoms were important in differentiating risk subgroups, with anxiety being the most significant factor. Group 13, comprising girls with severe anxiety, had the highest risk at 52.9%. Thus, early detection and prevention of issues such as anxiety, loneliness, and depressive symptoms, as well as treatment for violence, can prevent smartphone overdependence among adolescents. Additionally, more thorough interventions for anxiety are warranted to prevent smartphone overdependence.

Smartphone and social network addiction in early adolescents: The role of self-regulatory self-efficacy in a pilot school-based intervention

BACKGROUND

Youths' online problematic behaviors, such as smartphone or social network sites (SNS) addiction, gained increasing attention nowadays, due to their impact on concurrent and later adjustment, such as emotional and/or behavioral problems, academic impairments, or relational issues.

AIMS

This study aims to evaluate the effectiveness of a pilot school-based intervention to contrast online addictive behaviors while fostering adolescents' self-regulative abilities.

MATERIALS & METHODS

The intervention started in January 2022 in an Italian junior high school located in Rome, and consisted of four meetings with students. A total sample of 462 15-year-old adolescents (Mage = 15.2; SD = 0.50; 41% females; Ncontrol = 214; Nintervention = 248) was considered. Within the latent difference score framework, we examined short-term changes from the pre-to-the-postintervention levels of SNS and smartphone addiction, and self-regulatory self-efficacy (SRSE) beliefs as a possible booster of the intervention's effectiveness.

RESULTS

Results showed a significant decrease in both online addictions (SNS and smartphone addiction), controlling for age, gender, sexual orientation, and socioeconomic status, because of the short-term efficacy of the project. The buffering effect of SRSE beliefs was further supported.

CONCLUSION

These findings emphasized the usefulness of promoting youths' self-regulative beliefs to contrast problematic tendencies, according to a Positive Youth Development perspective which focused on resources rather than only on the prevention of negative outcomes for youths' adjustment.

Anxiety and depression during post covid-19 lockdown period among medical students, and it's relation with stress and smartphone addiction in India

OBJECTIVES

Medical profession, a competitive and ever-updating field which requires great commitment, imposes a stressful environment for students. Our study aimed to find the prevalence and factors associated with psychological illness.

METHODS

A cross-sectional analytical study was done among medical students in Puducherry. A stratified random sampling strategy was incorporated to achieve a calculated sample size of 384. The presence of anxiety and depression, perceived stress and addiction to the phone were assessed using the Hospital Anxiety and Depression Scale, Perceived Stress Scale, and Smartphone Addiction Scale - short version. Prevalence of anxiety and depression was summarized as a proportion with a 95 % confidence interval (CI). The prevalence ratio (PR) for the factors associated was estimated using log-binomial regression.

RESULTS

With the response from 383 students, the prevalence of anxiety and depression was 39.4 % (95 %CI: 34.5-44.3 %) and 26.6 % (22.2-31.1 %). Perceived stress was moderate in 68.2 % and high in 14 % of students. Higher age (aPR=1.49), female gender (aPR=1.22), tobacco or alcohol use (aPR=1.24), smartphone addiction (aPR=2.09) and high stress (aPR=1.93) were the predictors of anxiety among medical students in our study. Use of tobacco or alcohol (aPR=2.07), smartphone addiction (aPR=1.96) and high stress (aPR=1.72) were the predictors of depression.

CONCLUSIONS

Anxiety was more prevalent than depression among the medical students. Use of tobacco or alcohol, smartphone addiction and stress increase the risk of psychological morbidity. Medical training should have a module on coping mechanisms to overcome psychological illness and have better mental well-being.

Association between smartphone addiction and myofascial trigger points

BACKGROUND

The purpose of this study was to clarify the relationship between smartphone addiction and miyafascial trigger points in university students.

METHODS

A cross-sectional study of university students was conducted for the purpose of this study. The participants were assessed based on age, gender, dominant side, the amount of time they spent on their smartphones, the purpose of their use, and their posture. The Smartphone Addiction Scale Short Form (SAS-SF) was used to determine addictes and non-addicts. The cut-off value of SAS-SF is 31 and above for male and 33 and above for female.

RESULTS

There were 136 participants in the study. The posture score for addicts and non-addicts ones was not significantly different (p > 0,05), but the number of trigger points, maximal bending posture and trigger points in the right levator scapula and right cervical erector muscles were significantly higher in the smartphone addict participants (p < 0,05).

CONCLUSIONS

Smartphone addiction in university students is associated with postural changes and trigger points in the bilateral levator scapula and right cervical erector muscles. Public health programs should be developed to raise awareness about smartphone addiction, encourage screen breaks, and emphasize physical activity and exercise regularly.

Childhood Adversity and Adolescent Smartphone Use Across Sexual Orientation and Gender Expression

Importance

Nonheterosexual and gender-nonconforming (GNC) individuals tend to report adverse childhood experiences (ACEs) more frequently compared with heterosexual and gender-conforming individuals, and individuals who have experienced ACEs, identify as nonheterosexual, or exhibit moderate to high levels of GNC are more prone to engaging in problematic smartphone use (PSU). However, there is limited school-based data among adolescents regarding this matter.

Objectives

To explore the associations between ACEs and PSU among adolescents across different sexual orientation and gender expression groups.

Design, setting, and participants

Using data from the 2021 School-Based Chinese Adolescents Health Survey, this cross-sectional study includes participants from 288 public high schools across 8 provinces in China. Statistical analysis was performed from October 2023 to February 2024.

Exposures

Data on ACEs, sexual orientations, and gender expressions (high, moderate, and low GNC) were collected.

Main outcomes and measures

PSU was assessed using the 10-item Smartphone Addiction Scale-Short Version (SAS-SV). Weighted linear, logistic, or Poisson regression models were used.

Results

Among the 85 064 adolescents included (mean [SD] age, 14.92 [1.77] years), 42 632 (50.1%) were female, 70 157 (83.2%) identified as Han Chinese, and 14 208 (16.8) identified as other ethnicities (Miao, Hui, Yi, Dai, and other ethnic groups). The prevalence of PSU among participants was 35.4%. Weighted Poisson regression models indicated that the interaction between GNC and ACE was significant (adjusted prevalence ratio [APR], 0.98; 95% CI, 0.97-0.99). Further stratified analysis demonstrated homosexual adolescents who experienced 4 or more ACEs showed a significantly increased prevalence of PSU (APR, 1.79; 95% CI, 1.64-1.96). Similarly, a markedly higher prevalence of PSU was observed among bisexual individuals with 4 or more ACEs (APR, 1.60; 95% CI, 1.41-1.80). Regarding gender expression categories, a significantly higher prevalence of PSU was noted among high GNC adolescents with 4 or more ACEs (APR, 1.78; 95% CI, 1.60-1.98) compared with low GNC adolescents without ACEs. Furthermore, experiencing any 3 ACE categories (abuse, neglect, and household dysfunction) was associated with an increased prevalence of PSU across different sexual orientation and gender expression subgroups.

Conclusions and relevance

In this cross-sectional study, the amalgamation of elevated ACE scores with nonheterosexual orientations or GNC identities was significantly associated with increased PSU prevalence. These findings underscore that preventing ACEs may be beneficial in mitigating PSU among adolescents, particularly for nonheterosexual adolescents and those with high levels of GNC.

Effects of internet and smartphone addiction on cognitive control in adolescents and young adults: A systematic review of fMRI studies

BACKGROUND

Internet Addiction (IA) refers to excessive or uncontrolled behaviors related to Internet access, causing impairment or distress. Similarly, Smartphone Addiction (SPA) involves the excessive use of smartphones, disrupting users' daily lives. Cognitive control plays a relevant role in the development of IA and SPA, with executive functions and rewards processing being particularly important.

OBJECTIVE

This study aims to provide a synthesis of scientific evidence on the differential effects of IA and SPA on cognition in young adults and adolescents, using fMRI.

METHODS

Relevant articles published between 2013 and May 2023 were identified following the PRISMA protocol.

RESULTS

Included studies (n = 21) revealed that both behavioral addictions were associated with impairments in cognitive control related to reward processing (ACC, insula, amygdala) and executive function (DLPFC, frontal, parietal lobes) in adolescents and young adults.

CONCLUSION

These findings provide evidence for neuroanatomical similarities between IA and SPA in young adults and adolescents related to executive functions and rewards processing. However, differential effects of SPA and IA on cognitive control were not found in this study. Future research should explore the relationship between these addictions with other cognitive domains to further expand our understanding within this field. While both IA and SPA involve the excessive use of online technology, SPA could involve a higher risk, given that smartphones allow internet connectivity anytime.

Do Smartphone Addiction and Self-Regulation Failures Affect Students' Academic Life Satisfaction? The Role of Students' Mind Wandering and Cognitive Failures

Purpose

The purpose of this study is to investigate how smartphone addiction and self-regulation failure influence students' academic life satisfaction considering the impacts of students' mind wandering and cognitive failures. It also sought to look at how students' minds wander, and cognitive failures are affected by smartphone addiction and self-regulation failure among university students.

Methods

The WarpPLS-SEM software was used to analyze the research data retrieved from a sample of 950 undergraduate students from universities in Egypt and the Kingdom of Saudi Arabia (KSA).

Results

In both countries, the findings revealed that students' smartphone addiction and self-regulation failures negatively affect students' academic life satisfaction and positively affect students' mind wandering and cognitive failures. Additionally, smartphone addiction is positively related to failures of students' self-regulation. Besides the negative influences of students' cognitive failures on their academic life satisfaction, cognitive failures mediated negatively the relationship between mind wandering and students' academic life satisfaction. Finally, students' mind wandering mediated the relationship between smartphone addiction, self-regulation failure, and academic life satisfaction.

Discussion

The study introduces fresh insights into the study variables that can be used to expand the literature on academic life satisfaction. The study provides theoretical and practical contributions to students, educators, and policymakers of education.

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.

AI Technology panic-is AI Dependence Bad for Mental Health? A Cross-Lagged Panel Model and the Mediating Roles of Motivations for AI Use Among Adolescents

Background

The emergence of new technologies, such as artificial intelligence (AI), may manifest as technology panic in some people, including adolescents who may be particularly vulnerable to new technologies (the use of AI can lead to AI dependence, which can threaten mental health). While the relationship between AI dependence and mental health is a growing topic, the few existing studies are mainly cross-sectional and use qualitative approaches, failing to find a longitudinal relationship between them. Based on the framework of technology dependence, this study aimed to determine the prevalence of experiencing AI dependence, to examine the cross-lagged effects between mental health problems (anxiety/depression) and AI dependence and to explore the mediating role of AI use motivations.

Methods

A two-wave cohort program with 3843 adolescents (Male = 1848, Mage = 13.21 ± 2.55) was used with a cross-lagged panel model and a half-longitudinal mediation model.

Results

17.14% of the adolescents experienced AI dependence at T1, and 24.19% experienced dependence at T2. Only mental health problems positively predicted subsequent AI dependence, not vice versa. For AI use motivation, escape motivation and social motivation mediated the relationship between mental health problems and AI dependence whereas entertainment motivation and instrumental motivation did not.

Discussion

Excessive panic about AI dependence is currently unnecessary, and AI has promising applications in alleviating emotional problems in adolescents. Innovation in AI is rapid, and more research is needed to confirm and evaluate the impact of AI use on adolescents' mental health and the implications and future directions are discussed.

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.