The relationship between smartphone addiction and symptoms of depression, anxiety, and attention-deficit/hyperactivity in South Korean adolescents

Effects of socio-demographical characteristics of high school students on smartphone addiction and depression

This study was conducted to determine the smartphone addiction and severity of depressive symptoms of high school students. In this descriptive cross-sectional and correlational study, the sample consisted of 1744 high school students. In the study, data were collected using a Descriptive Questionnaire, the Smartphone Addiction Scale-Short Form, and the Depression Scale for Children. Data were analyzed in independent groups Student's t test, One-way ANOVA, Pearson correlation analysis, and a multiple regression model. It was determined that the students' mean smartphone addiction score was affected by gender, grade level, school success, having problems with the family, relationship with family, relationship with friends, and social self-evaluation. The mean depression score was affected by family type, economic status, social self-evaluation. According to the multiple regression analysis, effects of socio-demographic variables on smartphone addiction were 25%. It was concluded that the socio-demographic characteristics of high school students have an effect on smartphone addiction and depression.

Prevalence, associated factors and consequence of problematic smartphone use among adolescents and young adults in Bangladesh: A cross-sectional study

BACKGROUND

Problematic smartphone use (PSU) and attention deficit hyperactivity disorder (ADHD) in children, adolescents, and young adults are of major concern to parents. However, the prevalence and associated factors related to these issues in Bangladeshi adolescents and young adults remain unclear to the best of our knowledge. The aim of this study is to assess PSU and ADHD in the context of adolescent and young adult age groups in Bangladesh.

METHODS

The present study collected data from diverse geographical locations in Bangladesh via face-to-face surveys using stratified random sampling methods. We considered age, sex, and geographic location stratification criteria. A total of 578 respondents participated in the survey initially. From this, we discarded 36 responses after screening because the information provided was insufficient or incomplete response. In the end, 542 replies were incorporated into the final analysis. PSU and ADHD depend on several factors, including the individual's demographic background.

RESULTS

The prevalence of PSU and ADHD symptoms in adolescents and young adults in Bangladesh is 61.44% and 37.45%, respectively based on our findings. The symptoms of PSU are correlated with age, education level, family type (nuclear/joint), sleeping pattern, physical exercise, and residence area. ADHD symptoms are correlated with age, education level, living with family, smoking habit, physical disability, sleeping pattern, physical exercise, residence area, and PSU. Also, we observed that ADHD and PSU symptoms are positively correlated with each other.

CONCLUSION

A large proportion of young adults and adolescents reported PSU and ADHD symptoms. The present findings have practical implications in clinical psychology, psychotherapy, and related policy considerations. We propose to develop an inclusive interventional strategy and community-based programs to address PSU and ADHD-related issues.

Nomophobia, loneliness and depressive symptom levels of adults living in a district of Türkiye

This study was conducted to evaluate whether smart cell phones detach people from social life, make them lonely, cause depressive symptoms and whether there is a relationship between them. This is a cross-sectional study using face-to-face survey method. The sample was determined as 376 participants, with 95% confidence interval, 50% probability depending on the probability of having a smartphone or not. Participants in the sample were determined by systematic random sampling from adults aged 20 and over in Çiftlik district of Niğde province. The NMP-Q, DASS-42 and UCLA-LS were used. The median age of the 376 participants (192 male, 184 female) was 30 and the mean age was 32.0 (±10.94) years. Participants that had social media accounts were 68.9% of the population. Over 70% of the participants had mild, moderate or severe nomophobia. Nomophobia status of the participants was affected by the mean duration of the first-time smartphone use (P = .017), the mean daily smartphone usage time of the participants (P < .001), the mean number of smartphone users in the participants' families (P = .003), the mean depression and stress scores of the participants (P < .001), having social media account (P = .001), and declaration of smart phone dependency (P = .005). Nomophobia status was not affected by participants' gender, mean age, educational level, employment status, economic status and marital status (P > .05). The duration of daily smartphone use, the duration of first-time smartphone use, and having multiple smartphone users in family increased nomophobia. Also, having active social media accounts and self-reported smartphone addiction found correlated to nomophobia. Smartphone addiction increases depression, anxiety, and stress scores of the participants.

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.

Explainable prediction of problematic smartphone use among South Korea's children and adolescents using a Machine learning approach

BACKGROUND

Korea is known for its technological prowess, has the highest smartphone ownership rate in the world at 95%, and the smallest gap in smartphone ownership between generations. Since the onset of the COVID-19 pandemic, problematic smartphone use is becoming more prevalent among Korean children and adolescent owing to limited school attendance and outdoor activities, resulting in increased reliance on smartphones. 40.1% of adolescents are classified as high-risk, with only the adolescent group showing a persistent rise year after year.

OBJECTIVE

The study purpose is to present data-driven analysis results for predicting and preventing smartphone addiction in Korea, where problematic smartphone use is severe.

PARTICIPANTS AND METHODS

To predict the risk of problematic smartphone use in Korean children and adolescents at an early stage, we used data collected from the Smartphone Overdependence Survey conducted by the National Information Society Agency between 2017 and 2021. Eight representative machine and deep learning algorithms were used to predict groups at high risk for smartphone addiction: Logistic Regression, Random Forest, Gradient Boosting Machine (GBM), extreme Gradient Boosting (XGBoost), Light GBM, Categorical Boosting, Multilayer Perceptron, and Convolutional Neural Network.

RESULTS

The XGBoost ensemble algorithm predicted 87.60% of participants at risk of future problematic smartphone usebased on precision. Our results showed that prolonged use of games, webtoons/web novels, and e-books, which have not been found in previous studies, further increased the risk of problematic smartphone use.

CONCLUSIONS

Artificial intelligence algorithms have potential predictive and explanatory capabilities for identifying early signs of problematic smartphone use in adolescents and young children. We recommend that a variety of healthy, beneficial, and face-to-face activities be offered as alternatives to smartphones for leisure and play culture.

Attention-Deficit/Hyperactivity Disorder and Unhealthy Lifestyle in Adolescence: Unforeseen Role of Allostatic Overload and Psychological Well-Being

Unhealthy lifestyle behaviors (ULBs) are common in early adolescence and could be worsened by Attention-Deficit/Hyperactivity Disorder (ADHD), as well as by specific psychosocial factors, such as stress and unbalanced (i.e., too high or low scores of) psychological well-being (PWB) dimensions. This multi-center study aimed to evaluate how interactions between ADHD symptoms and psychosocial factors associated with ULBs (i.e., Allostatic Overload and multidimensional Psychological Well-Being), considered as moderators, could affect the adoption of ULBs during adolescence. A total of 440 fourteen-year-old adolescents were recruited from six upper secondary schools in Bologna and Rome (Italy) and completed self-report questionnaires on ULBs, ADHD, and psychosocial factors. Relations between ADHD symptomatology and specific ULBs (i.e., impaired sleep, problematic Internet use) were moderated by variables deemed as "negative" (i.e., Allostatic Overload) or "positive" (i.e., PWB dimensions of Self-Acceptance, Personal Growth, Positive Relations, Purpose in Life, Environmental Mastery): when the "negative" moderator is absent and the levels of the "positive" moderators are higher, ULBs decrease among students with lower ADHD symptomatology but increase among students with more severe ADHD. Based on ADHD severity, interventions should aim at promoting a state of euthymia, which consists in balanced PWB dimensions and reflects the optimal level of well-being to fulfill one's own potential and self-realization.

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.

Association between smartphone overdependence and mental health in South Korean adolescents: a secondary data analysis

PURPOSE

The rising prevalence of smartphone overdependence among adolescents and its detrimental impact on mental health have become a growing concern. This study aimed to investigate the association between smartphone overdependence and the mental health of Korean adolescents.

METHODS

Participants were drawn from the 16th Korea Youth Risk Behavior Web-based Survey conducted in 2020. The dependent variable as smartphone overdependence, while the main exposure of interest was mental health, encompassing generalized anxiety disorder (GAD), perceived stress, sources of perceived stress, perceived loneliness, and perceived depressive symptoms. The study employed the Rao-Scott chi-square test and multiple logistic regression using IBM SPSS version 26.0.

RESULTS

The participants comprised 54,948 adolescents aged 13 to 18 years. Among them, 25.1% (n=13,775) were categorized as smartphone overdependence group. Specifically, 20.3% of adolescents who reported GAD ≥10 and 22.5% of those who reported experiencing high levels of perceived loneliness were identified as smartphone overdependent. The GAD increased a risk of smartphone overdependence by 2.61 times (95% confidence interval [95% CI]: 2.46-2.77). Perceived loneliness was associated with 1.98-fold (95% CI: 1.87-2.09) increased risk of smartphone overdependence. Additionally, conflict with peers was found to increase the risk of smartphone overdependence by 4.63-fold (95% CI: 3.89-5.52), followed by conflict with parents (odds ratio [OR]: 4.52, 95% CI: 3.84-5.31), and family environment (OR: 4.52, 95% CI: 3.75-5.46).

CONCLUSION

The findings underscore a significant association between smartphone overdependence and mental health in Korean adolescents. Healthcare services to improve their emotional coping and interpersonal skills are necessary.

Trait anxiety and corresponding neuromarkers predict internet addiction: A longitudinal study

Background and Aims

The high prevalence of internet addiction (IA) has become a worldwide problem that profoundly affects people's mental health and executive function. Empirical studies have suggested trait anxiety (TA) as one of the most robust predictors of addictive behaviors. The present study investigated the neural and socio-psychological mechanisms underlying the association between TA and IA.

Methods

Firstly, we tested the correlation between TA and IA. Then we investigated the longitudinal influence of TA on IA using a linear mixed effect (LME) model. Secondly, connectome-based predictive modeling (CPM) was employed to explore neuromarkers of TA, and we tested whether the identified neuromarkers of TA can predict IA. Lastly, stressful life events and default mode network (DMN) were considered as mediating variables to explore the relationship between TA and IA.

Findings

A significant positive correlation between TA and IA was found and the high TA group demonstrated higher IA across time. CPM results revealed that the functional connectivity of cognitive control and emotion-regulation circuits and DMN were significantly correlated with TA. Furthermore, a significant association was found between the neuromarkers of TA and IA. Notably, the CPM results were all validated in an independent sample. The results of mediation demonstrated that stressful life events and correlated functional connectivity mediated the association between TA and IA.

Conclusions

Findings of the present study facilitate a deeper understanding of the neural and socio-psychological mechanisms linking TA and IA and provide new directions for developing neural and psychological interventions.

Emotional and Behavioural Factors Predisposing to Internet Addiction: The Smartphone Distraction among Italian High School Students

In a digitally oriented society, smartphones provide continual online accessibility to daily life while simultaneously predisposing adolescents to engage in prolonged connections for various purposes, thus escalating the risk of Internet addiction (IA). Cognitive processes such as multitasking and attentional shifting are frequently associated with smartphone activities. Additionally, online engagements may serve as emotional strategies for regulating negative states (e.g., boredom and distress), redirecting attention towards more gratifying activities, such as social media contents. This study delves into cognitive-emotional processes (i.e., emotion regulation, attention impulsiveness, online vigilance, and multitasking) and emotional/behavioural factors (i.e., emotional problems, conduct problems, hyperactivity/inattention, peer relationships, and prosocial behaviours) that may be implicated in smartphone activities and technology addiction among adolescents. A community sample of Italian high school students (N = 676; 42.2% females) completed the Smartphone Distraction Scale (SDS), the Strength and Difficulties Questionnaire (SDQ) for internalising/externalising symptoms and the Internet Addiction Test (IAT) to assess the presence and severity of IA. The scores on the SDS were found to be positively associated with IA levels. Furthermore, students exhibiting higher internalising/externalising symptoms, particularly those with traits of attention deficit hyperactivity disorder (ADHD), are more likely to manifest problematic smartphone usage. The implications for screening adolescents more susceptible to developing IA symptoms and for implementing preventive interventions are discussed.

Exploring the Relationship between Smartphone Addiction, Quality of Life, and Personality Traits in University Students

Objective: This study aimed to explore the dynamics of the relationship among smartphone addiction, quality of life, and personality characteristics in university students. Method : This correlational and descriptive research was conducted to investigate the relationship between smartphone addiction, quality of life, and personality traits among university students. Using a nonprobability random sampling method, 496 university students were selected. Data collection involved the Student Information Form, Smartphone Addiction Scale, Symptom Checklist (SCL-90-R), Revised Eysenck Personality Questionnaire-Abridged Form (EPQR-A), and the WHO Quality of Life Scale-Short Form (WHOQOL-BREF). Statistical analysis was conducted with SPSS 25.0, utilizing Chi-square tests, independent sample t-tests, and Pearson's correlation analysis. Results: Out of 496 students (average age of 20.52), 59.87% were identified as smartphone addicts based on the Smartphone Addiction Scale-Short Version. A notable difference was found by study year (P = 0.009) and socioeconomic status (P = 0.003). Participants with smartphone addiction registered higher SCL-90-r scores for conditions like Obsessive Compulsive Disorder, Interpersonal Sensitivity, and Psychoticism. The Eysenck Personality Inventory highlighted that the Psychoticism score was significantly higher in the group with smartphone addiction (P = 0.001). A negative correlation between smartphone addiction scores and general health (WHOQoL) was identified, whereas a positive correlation with SCL-90-R's Psychoticism dimension score was observed (P < 0.001). Conclusion: Smartphone addiction is widespread among university student population. The study indicates that smartphone addiction not only impacts the individual's quality of life but also is associated with personality disorders, and these problems intensify with the severity of addiction. The findings underscore the need for interventions and educational programs to address smartphone addiction in this population.

The Dual Systems Model-Impulsivity and Narcissism as the Reflexive System and Self-Regulation as the Reflective System-of Smartphone Addiction

The exploration of underlying mechanisms leading to the development of smartphone addiction has been limited, with only a few studies incorporating theories to provide explanations. Drawing upon the Dual Systems Model, this study tested the hypothesis that the reflective system of self-regulation would mediate the relation between the reflexive system of impulsivity and narcissism, and smartphone addiction in a sample of 298 undergraduate students. Participants completed a self-administrated web-based questionnaire containing measures of impulsivity (the Barratt Impulsiveness Scale), narcissism (the Narcissistic Personality Inventory), self-regulation (the Self-Regulation Scale), and smartphone addiction (the Smartphone Addiction Inventory). The findings from structural equation modeling revealed that self-regulation served as a significant mediator between impulsivity and smartphone addiction, as well as between narcissism and smartphone addiction. These findings offer insights that can contribute to the development of interventions and strategies that target impulsivity and narcissism by enhancing self-regulation skills.

Relationship between bruxism and smartphone overuse in young adults

OBJECTIVE

To evaluate the possible relationship between bruxism and smartphone overuse and assess the potential role of anxiety and depression in this relationship. The null hypothesis was that there was no significant difference between sleep bruxism (SB) and/or awake bruxism (AB) and non-bruxers in the level of smartphone overuse, anxiety, and depression.

METHODS

In total, 167 dental students were included in this study. They were evaluated using the American Academy of Sleep Medicine (AASM) criteria, Smartphone Addiction Scale (SAS), Beck Anxiety Inventory (BAI), and the Beck Depression Inventory (BDI). T-test and chi-square test were used to compare the means and percentages between groups.

RESULTS

A higher percentage of sleep bruxers were high smartphone users (60.3%) compared to non-SBs (44.2%). The frequencies of high smartphone users among participants with high anxiety and depression were higher than those with low anxiety and depression.

CONCLUSION

SB and high smartphone use were positively associated.

Acute smartphone use impairs vigilance and inhibition capacities

Smartphones are now in very widespread use, and concerns have arisen about potential detrimental effects, even with acute use. These adverse consequences are often linked to the emergence of mental fatigue. While the cognitive implications of fatigue are well-documented, knowledge about the specific influence of acute smartphone use on cognitive performance remains scarce. The aim of this study was therefore to investigate the impact of acute smartphone use on cognitive performance. It included two experiments: one designed to assess the impact of smartphone use on vigilance, and the other focusing on evaluating inhibition capacities. In Experiment 1, two groups of 40 participants completed a Psychomotor Vigilance Task (PVT) before and after using a smartphone for 45 min (experimental group), or before and after watching a documentary (control group). In Experiment 2, two groups of 40 participants were subjected to a similar experimental design but had to perform a Go/NoGo task instead of a PVT. Mental fatigue and drowsiness were evaluated with visual analog scales before and after smartphone use and watching a documentary. Results suggested that both watching a documentary and using a smartphone for 45 min increased subjective mental fatigue and drowsiness. Watching the documentary did not impair cognitive performance. Reaction times on the PVT and number of errors on NoGo trials in the Go/NoGo task were higher among the participants in the smartphone condition. These results indicate reduced vigilance and impaired inhibition capacities only after smartphone use. We conclude that acute smartphone use induces mental fatigue and decreases cognitive performance. Further research is needed to understand the mechanisms underlying this decline in cognitive performance.

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

OBJECTIVES

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

The relationship between problematic internet use and attention deficit, hyperactivity and impulsivity: A meta-analysis

OBJECTIVE

This study aimed to investigate the relationship between problematic internet use (PIU) and ADHD-related symptoms of attention deficit, impulsivity and hyperactivity.

METHODS

We chose a meta-analytical approach and searched for relevant studies in different databases (Pubmed, PsycInfo, Google scholar). We identified 24 studies with 18 859 participants (mean age = 18.40 (SD = 5.51)) published between 2004 and 2021 which were applicable for our research. We calculated 21, 7, and 9 effect sizes for attention deficit, hyperactivity and impulsivity, respectively.

RESULTS

We found significant associations between PIU and attention deficit (r = 0.36, 95% confidence interval = [0.28 to 0.43]), hyperactivity (r = 0.44, 95% confidence interval = [0.33 to 0.53]), and impulsivity (r = 0.41, 95% confidence interval = [0.30 to 0.51]), p < .001 for all three. The effect sizes of attention deficit and hyperactivity were significantly higher in male compared to female participants. Additionally, higher attention deficit effects were found in adults compared to children/adolescents.

CONCLUSIONS

Our meta-analysis indicates that ADHD-related symptoms are associated with PIU. Although cross-sectional analyses cannot explain cause-and-effect relationships, we hypothesize that attention deficit, hyperactivity and impulsivity constitute a vulnerability towards PIU.

Association between Problematic Smartphone Use and Physical Activity among Adolescents: A Path Analysis Based on the 2020 Korea Youth Risk Behavior Web-Based Survey

BACKGROUND

Physical activity is known to prevent several diseases and positively affect mental health. Previous studies have shown that smartphone addiction negatively affects the physical activity of children and adolescents. This study aimed to investigate the relationship between problematic smartphone use and physical activity among adolescents and the related factors using path analysis.

METHODS

Using data from the 16th Youth Risk Behavior Web-based Survey from 2020, scores on the Smartphone Addiction Scale-Short Version for Adolescents, physical activity, sex, socioeconomic status (SES), academic performance, depression, smoking, drinking, and sitting time were assessed. Complex sampling and path analyses were performed.

RESULTS

Of the total 54,948 students, 25.5% were smartphone risk users, including potential and high-risk users. The direct path coefficients of each factor indicated that female sex (-0.14 for male), low SES (-0.062), high academic performance (0.056), low sitting time for studying purposes (-0.033), high sitting time for non-studying purposes (0.071), and depressive mood (0.130) were related to problematic smartphone use (all P<0.001). Each factor affected problematic smartphone use, and subsequently had a negative effect on the amount of physical activity, with a direct path coefficient of -0.115 (P<0.001).

CONCLUSION

In this study, we confirmed that problematic smartphone use among adolescents was negatively associated with performing an adequate amount of physical activity and that various factors, such as sex, SES, academic performance, and sitting time, directly and indirectly affected this relationship.

The role of boredom proneness and self-control in the association between anxiety and smartphone addiction among college students: a multiple mediation model

Background

Smartphone addiction has been found to be a widespread public health issue, especially among youth. Previous studies reported a significant association between anxiety and smartphone addiction, but the underlying mechanism in this relationship is unclear. The purpose of this study was to investigate the mediating roles of boredom proneness and self-control in the relationship between anxiety and smartphone addiction.

Methods

Self-reported measures of anxiety, boredom proneness, self-control and smartphone addiction were administered to 1,526 Chinese college students.

Results

Smartphone addiction scores varied between 10 and 60 with an average of 30.89 ± 10.57 points. Anxiety had a direct and positive effect on smartphone addiction (effect = 0.18, 95% CI = 0.11-0.25), and an indirect effect on smartphone addiction through boredom proneness (effect = 0.10, 95% CI = 0.06-0.15) and self-control (effect = 0.16, 95% CI = 0.13-0.20). Boredom proneness and self-control sequentially mediated the relationship between anxiety and smartphone addiction (effect = 0.12, 95% CI = 0.10-0.15).

Conclusion

Anxiety is positively associated with smartphone addiction, and boredom proneness and self-control are important mediators in this relationship. Strengthening self-control and mitigating boredom could prevent smartphone addiction in anxious college students.

Differences between problematic internet and smartphone use and their psychological risk factors in boys and girls: a network analysis

BACKGROUND

Problematic internet and smartphone use are significant health challenges for contemporary adolescents. However, their mutual relationship is unclear because studies investigating these phenomena are scarce. The present study aimed to investigate the psychological risks and protective factors associated with problematic internet and smartphone use.

METHOD

A representative sample of Slovak adolescents (N = 4070, M_age = 14.38, SD_age = 0.77, 50.5% girls) from the Health Behavior in School-aged Children project was analyzed using network analysis separately for boys and girls.

RESULTS

The results showed weak (for boys) and moderate (for girls) associations between problematic internet use and problematic smartphone use. Risk factors showed stronger associations with problematic internet use than problematic smartphone use, with the exception of fear of missing out, which was strongly associated with problematic smartphone use. The central nodes were externalizing problems for boys and internalizing problems, externalizing problems, and resilience for girls.

CONCLUSION

The study concluded that while problematic internet use and problematic smartphone use are somewhat related, they differ at the psychological level. In addition, the phenomena are rather different between boys and girls.

Validity, reliability, and correlates of the Smartphone Addiction Scale-Short Version among Japanese adults

BACKGROUND

The short version of the smartphone addiction scale (SAS-SV) is widely used to measure problematic smartphone use (PSU). This study examined the validity and reliability of the SAS-SV among Japanese adults, as well as cross-sectional and longitudinal associations with relevant mental health traits and problems.

METHODS

Datasets from a larger project on smartphone use and mental health were used to conduct two studies. Participants were adults aged over 20 years who carried a smartphone.

RESULTS

Study 1 (n = 99,156) showed the acceptable internal consistency and structural validity of the SAS-SV with a bifactor model with three factors. For the test-retest reliability of the SAS-SV, the intraclass correlation coefficient (ICC) was .70, 95% CI [.69, 70], when the SAS-SV was measured seven and twelve months apart (n = 20,389). Study 2 (n = 3419) revealed that when measured concurrently, the SAS-SV was strongly positively correlated with another measure of PSU and moderately correlated with smartphone use time, problematic internet use (PIU), depression, the attentional factor of impulsiveness, and symptoms related to attention-deficit hyperactivity disorder and obsessive-compulsive disorder. When measured 12 months apart, the SAS-SV was positively strongly associated with another measure of PSU and PIU and moderately associated with depression.

DISCUSSION

The structural validity of the SAS-SV appeared acceptable among Japanese adults with the bifactor model. The reliability of the SAS-SV was demonstrated in the subsequent seven- and twelve-month associations.

CONCLUSION

The cross-sectional and longitudinal associations of the SAS-SV provided further evidence regarding PSU characteristics.

The association between problematic smartphone use and symptoms of anxiety and depression-a meta-analysis

BACKGROUND

Recent research links problematic smartphone use (PSU) and mental health problems. The purpose of this meta-analysis was to evaluate the relationship between PSU and symptoms of anxiety and/or depression.

METHODS

We searched for research literature published recently in PubMed and Google Scholar via a systematic literature search. Twenty-seven studies published since 2014 with 120 895 participants were included in the meta-analysis.

RESULTS

PSU was moderately but robustly associated with both anxiety, r = 0.29 (95% CI: 0.23-0.35), and depression, r = 0.28 (95% CI: 0.22-0.34), P < 0.001 for both. Homogeneity tests showed significant P-values for anxiety and depression, but without affecting the results. Neither the age of the participants, publication year nor the study quality could explain the heterogeneity. Furthermore, we found no evidence for publication bias, since Egger's regression test showed no significance for depression (P = 0.21) and anxiety (P = 0.35).

CONCLUSIONS

Our study shows that PSU can be viewed as an indicator of symptoms of anxiety and depression and a possible manifestation of these mental health problems in modern society. Furthermore, PSU as a maladaptive coping behavior may contribute by worsening these symptoms. PSU screening should thus become part of standard clinical psychological diagnostic procedures.

Associations between changes in behavioral difficulties and levels of problematic smartphone use in adolescents over a 1-year period

OBJECTIVES

The present longitudinal study investigates associations between changes in externalizing and internalizing behavioral difficulties and changes in problematic smartphone usage within the same 1-year period in healthy adolescents.

METHODS

The project is part of the LIFE Child cohort study conducted in Leipzig, Germany. Ten- to 16-year-old adolescents (n = 363) provided information on behavioral difficulties [Strengths and Difficulties Questionnaire (SDQ)], the duration of daily smartphone use, and symptoms of smartphone addiction [Smartphone Addiction Proneness Scale (SAPS)] at two consecutive study visits, t1 and t2 (1 year after t1). In the first of two analysis phases, we applied linear regression analyses to assess cross-sectional associations between externalizing and internalizing behavioral difficulties and the duration of smartphone use and symptoms of smartphone addiction (at t1 and t2). In the second, we assessed associations between the changes measured in these variables over the period of a year. All associations were adjusted for age, sex, and soci-economic status.

RESULTS

Children who reported prolonged periods of smartphone use or more symptoms of smartphone addiction exhibited significantly higher levels of externalizing and internalizing behavioral difficulties at t1 and t2. Further, children who increased their usage or developed addiction symptoms between t1 and t2 also developed more externalizing behavioral difficulties. We found the same tendencies in regard to internalizing behavioral difficulties, although the associations did not reach statistical significance.

CONCLUSIONS

The present findings suggest that externalizing behavioral difficulties and problematic smartphone use are mutually dependent in the long term.

Addictive smartphone use in the elderly: relationship with depression, anxiety and sleep quality

BACKGROUND

The aim of the present study was to explore the relationship between addictive smartphone use (ASU) and depressive symptoms, anxiety and sleep quality in elderly adults.

METHODS

The study sample included smartphone users over the age of 65 years. The research data were obtained from social networking sites via a Google survey link. In addition to filling out a sociodemographic data form, the participants were also assessed with Smartphone Addiction Scale (SAS), Geriatric Depression Scale, Beck Anxiety Inventory and Pittsburgh Sleep Quality Index tools.

RESULTS

The correlation analysis revealed the SAS score to be positively correlated with depression and anxiety, and negatively correlated with sleep quality. In the regression analysis, depressive symptoms, anxiety level and sleep quality were all found to have an effect on the SAS total score. Furthermore, the SAS score was found to have an effect on depressive symptoms, anxiety and sleep quality.

CONCLUSIONS

Our findings reveal a bidirectional relationship between ASU and depressive, anxiety symptoms and impaired sleep quality in elderly adults. It is important to question smartphone use patterns in people with sleep problems, symptoms of depression or anxiety.

Unpacking the relation between children's use of digital technologies and children's well-being: A scoping review

Over the last decade, a substantial number of studies have addressed children's use of technologies and their impact on well-being. Nonetheless, there is still a lack of clarity on the operationalisation of technology use, well-being, and the relation between the two. This scoping review intended to shed lights on Digital Technologies Use, its operationalisation, and the relation between Digital Technologies Negative Use (DTNU) and children's well-being. For the scope of the special issue we focused on negative use. Results showed two conceptualisations of DTNU: compulsive/addictive use of devices and the Internet (e.g., Internet addiction) and negative online experiences/risky behaviours (e.g., cyberbullying). Well-being in relation to DTNU was mainly studied in terms of psycho/social dimensions (e.g., depression), and a gap in cognitive well-being studies was identified. Study designs were largely quantitative, and, in most studies, well-being was considered as a predictor of DTNU. Also, research with children under 12 years was lacking. Future research on DTNU should look at: how dimensions of addiction and negative online experiences relate; provide more evidence on cognitive well-being; explore the interplay of well-being multiple components relying on integrative conceptual frameworks. The recent notion of digital well-being should also be explored considering the results of this review.

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.

Internet addiction and its effects on psychological wellbeing: A community-based study

Background

The internet has become an essential part of life, and it has both beneficial and detrimental effects. There is a plethora of evidence relating to the effect of internet addiction on psychological health. There is also an unmet need to lay the foundation for the differences in usage and the effects on mental health in regard to the use of the internet for rural and urban students.

Materials and Methods

The present study was conducted on 200 adolescent subjects belonging to the urban and rural areas around the city of Varanasi to establish the pattern of use of the internet as well as its psychological implications. The participants were evaluated upon the Internet Addiction Test (IAT) and General Health Questionnaire-12 (GHQ-12), and information pertaining to socio-demographics as well as accessory information related to internet usage were captured through semi-structured proforma.

Results

The results indicated no significant differences in the pattern of internet usage (mean IAT score) as well as psychological health (mean GHQ-12) between urban and rural youth. There was a significant positive association between the overall severity of internet use with poor psychological health (GHQ-12 score). There was a significant difference in the overall mean age as well as the mean age of onset of internet use between both groups (rural versus urban). This study highlighted an important issue of the digital divide based on gender-wise differences in the pattern in the overall sample.

Conclusion

This study highlighted the important differences in the pattern of internet use among the rural and urban populations with its clinical implication being a need to educate the youth regarding the healthy use of technology.

Alarmingly high prevalence and lack of gender differences in ADHD among high school students: Screening for ADHD with ASRS among adolescents and working adults

Introduction: The aim was to examine the psychometric properties of the Polish version of the Adult ADHD Self-Report Scale (ASRS) among adolescents and adult working populations of different genders, the prevalence of ADHD, and its relationship to stress.

Materials and methods: A sample of 723 professionally active people and 1744 high school students participated in the study. Part A of the Adult ADHD Self-Report Scale (ASRS) was used to measure ADHD and the 4-item Perceived Stress Scale (PSS-4) was used to measure stress.

Results: Confirmatory factor analyses showed that the original 6-item two-factor solution of ASRS Part A had a satisfactory fit and showed basic measurement invariance between age groups and genders. Inattention and hyperactivity were related mostly similarly to stress in all groups. The prevalence of ADHD among adolescents was much higher than in previous reports, and no gender differences were found. About every fifth high school student and every tenth adult showed a risk of ADHD. The potential cause of the difference in the prevalence in the studied groups can be generation change.

Conclusions: ASRS is a well-functioning screening measure with good psychometric properties. It is a convenient option for large-scale epidemiological surveys necessary to understand potential generational changes in the prevalence of ADHD and the lack of gender differences among adolescents.

Structural and Functional Neural Correlates in Individuals with Excessive Smartphone Use: A Systematic Review and Meta-Analysis

Background: Despite known association of internet addiction with a reduced brain volume and abnormal connectivity, the impact of excessive smartphone use remains unclear. Methods: PubMed, Embase, ClinicalTrial.gov, and Web of Science databases were systematically searched from inception to July 2022 using appropriate keywords for observational studies comparing differences in brain volumes and activations between excessive smartphone users and individuals with regular use by magnetic resonance imaging. Results: Of the 11 eligible studies retrieved from 6993 articles initially screened, seven and six evaluated brain volumes and activations, respectively. The former enrolled 421 participants (165 excessive smartphone users vs. 256 controls), while the latter recruited 276 subjects with 139 excessive smartphone users. The results demonstrated a smaller brain volume in excessive smartphone users compared to the controls (g = −0.55, p < 0.001), especially in subcortical regions (p < 0.001). Besides, the impact was more pronounced in adolescents than in adults (p < 0.001). Regression analysis revealed a significant positive association between impulsivity and volume reduction. Regarding altered activations, the convergences of foci in the declive of the posterior lobe of cerebellum, the lingual gyrus, and the middle frontal gyrus were noted. Conclusions: Our findings demonstrated a potential association of excessive smartphone use with a reduced brain volume and altered activations.

Indulging in Smartphones in Times of Stress: A Moderated Mediation Model of Experiential Avoidance and Trait Mindfulness

Although previous studies have shown that perceived stress is positively related to problematic smartphone use, knowledge of mediating and moderating mechanisms underpinning this relationship is quite limited. In this study, we explored whether experiential avoidance mediated the relationship between perceived stress and problematic smartphone use and whether trait mindfulness moderated this mediating process. A total of 763 Chinese college students completed the measures of perceived stress, experiential avoidance, problematic smartphone use, and trait mindfulness. The results indicate that perceived stress was positively related to problematic smartphone use and this relation was partially mediated by experiential avoidance. Furthermore, moderated mediation analysis showed that trait mindfulness moderated the linkage between perceived stress and problematic smartphone use via experiential avoidance. This link became weaker for college students with higher levels of trait mindfulness. The results highlight the value of identifying the underlying mechanisms between perceived stress and college students' problematic smartphone use.

A Longitudinal Relationship Between Mother's Smartphone Addiction to Child's Smartphone Addiction

Children are more likely to become addicted as they become accustomed to using smartphones, and as they observe and imitate their parents using smartphones. This study aims to confirm longitudinally the effect of mother's smartphone addiction on children's smartphone addiction. Latent growth modeling was used to analyze longitudinal relationships between 3615 pairs of children and their mothers from the Korean Children and Youth Panel Survey (KCYPS) (2018-2020). As a result, both the mothers and children's smartphone addiction significantly increased over time. The initial value of the mother's smartphone addiction was found to have a significant effect on the child's initial value and the change rate. Moreover, children's smartphone addiction change rate was significantly affected by the change rate of the mother's smartphone addiction. To intervene in children's smartphone addiction, a family-level approach, as well as parental addiction, must also be addressed, and a preventive approach should focus on those with a low risk of addiction.

The association between dietary total antioxidant capacity and odds and severity of irritable bowel syndrome among Iranian adults: a cross-sectional study

Background

Little evidence is available in terms of the role of dietary antioxidants in the management of irritable bowel syndrome (IBS) disease. This study aimed to examine the association between dietary total antioxidant capacity (dTAC) and odds of IBS and its severity.

Methods

This cross-sectional study was conducted on 3,362 Iranian adults who were referred to health centers in Isfahan province, Iran. Participants' dietary intakes were collected using a semi-quantitative validated food frequency questionnaire (DS-FFQ). The dTAC was measured by the ferric-reducing antioxidant power (FRAP) method. Multivariable binary or ordinal logistic regression analyses were performed to estimate any associations between dTAC and odds of IBS, IBS severity, and IBS subtypes.

Results

The average age and BMI of the participants and dTAC score were 36.3 ± 7.87 year, 24.9 ± 3.82 kg/m2. The prevalence of IBS, IBS with constipation (IBS-C), IBS with diarrhoea (IBS-D), mixed IBS (IBS-M), and un-subtyped IBS (IBS-U) were 22.2, 7.5, 4.6, 3.8, and 6.2%, respectively. In crude and adjusted models, the results did not show any significant association between dTAC and odds of IBS among whole and gender-age stratified populations. Being in the third compared with the first tertile of dTAC was not also significantly associated with odds of IBS severity. Besides, there were no significant associations between dTAC and odds of IBS-C, IBS-D, IBS-M, and IBS-U.

Conclusion

This study indicates that dTAC may not be associated with the odds of IBS and its severity even after stratification for gender and body mass index.

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

PROBLEM

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

METHODS

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

FINDINGS

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

CONCLUSIONS

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

Mental distress and associated factors among college students in Kemisie district, Ethiopia

Mental health problems such as distress affect society in a non-differential fashion. In recent decades, mental distress is becoming a common health problem among students. In this regard, there is limited information about the problem available in Ethiopia. Therefore, this study aimed to determine the prevalence and associated factors of mental distress among college students in Kemisie district, Ethiopia. An institution-based cross-sectional study was conducted among 408 students from February 11 to 14 2020. A stratified sampling technique was used to select the study participants. Data were collected using a structured self-administered questionnaire. Self-reporting questionnaire (referred to as the SRQ-20) is a standardized questionnaire having 20-item questions and was used as a tool for mental distress. Appropriate descriptive statistics was done. A binary logistic regression model was used to identify factors associated with mental distress. An adjusted odds ratio with a 95% confidence interval was computed to determine the level of significance. A p value < 0.05 was used to declare the statistical significance of the variables. Prevalence of mental distress among students was 17.6% (95% CI 13.8-21.4%). Not having close friends (AOR = 3.61; 95% CI 1.61-8.14), attend religious programs (AOR = 0.23; 95% CI 0.14-0.53), conflict with friend (AOR = 3.07; 95% CI 1.44-6.33), not having pocket money (AOR = 2.72; 95% CI 1.27-25.80), ever use of Chat (AOR = 5.06; 95% CI 2.12-11.80), current use of Chat (AOR = 3.12; 95% CI 1.04-9.82), decreased grade than anticipated (AOR = 3.20; 95% CI 1.436-7.16), and low and moderate social support (AOR = 3.34; 95% CI 1.41-7.92) and (AOR = 1.47; 95% CI 1.08-5.68), respectively were statistically significantly associated factors of mental distress. The overall prevalence of mental distress among students in Kemisie district, Ethiopia was high. In Ethiopia, along with the current economic crisis and the absence of social support, the problem could be increased. Therefore, the mental health needs of the college students require attention with special emphasis on not having close friends, never attending religious programs, conflict with friends, absence of pocket money, students who use Khat, and those who have low social support.

Correlations between Problematic Mobile Phone Use and Depressiveness and Daytime Sleepiness, as Well as Perceived Social Support in Adolescents

(1) The aim of this study was to estimate the scale of mobile phone addiction among young adults as well as to establish whether the low level of perceived social support is related to problematic smartphone use, and whether an addictive pattern of mobile phone use is related to the prevalence of depressiveness and excessive daytime sleepiness. (2) The study was carried out using the diagnostic poll method via the questionnaire technique. Both the author's own questionnaire and the following standardized research tools were used: the Mobile Phone Problem Use Scale for Adolescents (MPPUSA), the Beck Depression Inventory (BDI), the Epworth Sleepiness Scale (ESS), and the Multidimensional Scale of Perceived Social Support (MSPSS). (3) Perceived social support was significantly lower in the group of respondents who problematically used their mobile phones in comparison with the ones who used them in a proper way. Severity of depressive symptoms and daytime sleepiness was significantly higher in respondents addicted to their mobiles compared to nonaddicted ones. (4) Conclusions: An important correlation between phone addiction and the prevalence of depressive symptoms and excessive daytime sleepiness exists. Problematic mobile phone use concerns individuals with low levels of perceived social support.

The roles of behavioral inhibition/activation systems and impulsivity in problematic smartphone use: A network analysis

Background

Behavioral inhibition/activation systems (BIS/BAS) and impulsivity are associated with problematic smartphone use (PSU). However, no studies to date have explored how the subdomains of BIS/BAS and the dimensions of impulsivity relate to the components of PSU in a joint framework. This study aimed to examine the relationships between the three constructs at a fine-grained level and identify the central nodes and bridge nodes of their relationships using network analysis.

Methods

A regularized partial correlation network of PSU, BIS/BAS, and impulsivity communities was estimated to investigate the connections between variables and determine the expected influence and bridge expected influence for each variable based on data from 325 Chinese adults. PSU, BIS/BAS, and impulsivity were assessed using the Smartphone Application-Based Addiction Scale (SABAS), BIS/BAS scales, and Barratt Impulsiveness Scale-Version 11 (BIS-11), respectively.

Results

In addition to connections within each community, network analysis revealed that there were connections between different communities, especially connections to PSU. I2 "motor impulsivity" was strongly associated with PSU2 "conflict" and PSU6 "relapse"; BASR "BAS-reward responsiveness" was strongly associated with PSU5 "withdrawal." Nodes BASR "BAS-reward responsiveness" and PSU6 "relapse" were the most central variables, while nodes BASR "BAS-reward responsiveness" and I2 "motor impulsivity" were the strongest bridge variables.

Conclusion

The connections between the subdomains of BIS/BAS and the components of PSU and between the dimensions of impulsivity and the components of PSU may be particularly important in the development and maintenance of PSU. The central variables identified here, along with the bridge variables, could be promising and effective targets for the prevention and intervention of PSU.

The Role of Family Health in Mediating the Association between Smartphone Use and Health Risk Behaviors among Chinese Adolescent Students: A National Cross-Sectional Study

The direct impact of smartphones on health risk behaviors of adolescent students has been verified. However, the mediating mechanisms that underly this relationship remain largely unknown. Therefore, the aim of the study is to explore the role of family health in mediating the relationship between the frequency of smartphone use and adolescent students' health risk behaviors. A questionnaire was used to collect cross-sectional data from 693 adolescent students aged 12-18 in China and a structural equation model was analyzed. Among the nine health risk behaviors, the most frequent health risk behaviors in Chinese adolescent students were non-compliance walking behaviors (M=Mean; SD = Standard deviation) (M ± SD) (2.78 ± 1.747), eating unhygienic food (M ± SD) (2.23 ± 1.299), being subjected to physical violence (M ± SD) (2.19 ± 0.645), and leaving home (M ± SD) (2.13 ± 0.557). The SEM results showed that the adolescent students' smartphone use had a positive impact on delaying the age of first alcohol consumption (β = 0.167, CI:0.067 0.287) and a negative impact on the non-compliance walking behaviors (β = 0.176, CI:0.011 0.266). Family health plays an indirect-only mediated role (the proportions of indirect-only mediated roles are 11.2%, 12.4%, and 11.5%) in the relationship between smartphone use and adolescent students' partial health risk behaviors: (CI: -0.042 -0.002), (CI: -0.049 -0.005), and (CI: -0.043 -0.002). These findings provided a theoretical and practical basis for better interventions in adolescent health risk behaviors.

Problematic Smartphone Use: Prevalence and Associated Factors Among Health Sciences Students in Saudi Arabia

Excessive smartphone use leads to several physical and psychological disorders, particularly among young adults. This study aimed to investigate the prevalence and the associated factors of problematic smartphone use (PSU) among health sciences students in Jeddah, Saudi Arabia. During the 2019 academic year, a cross-sectional analytic study randomly recruited 408 health sciences students (67.5% were females), with a mean age of 20.5 ± 1.42. Data on sociodemographic and health profiles, smartphone usage patterns, and overuse symptoms were collected for each participant. The Smartphone Addiction Scale-Short Version (SAS-SV) and Generalized Anxiety Disorder 7-item (GAD-7) scale were used to assess PSU and anxiety levels. PSU was detected in 66.9% of the study participants. The prevalence is high among both females and males (69.5 and 61.7%, respectively). PSU was found to be associated with more years of use and frequent smartphone upgrading (aOR = 2.11, 95% CI: 1.12, 3.97) and (aOR = 1.69, 95% CI: 1.08, 2.65), respectively (p = 0.021 and 0.021, respectively). Participants with moderate and severe anxiety levels were found to be more likely to have PSU (aOR = 2.22, 95% CI: 1.21, 4.05) and (aOR = 5.97, 95% CI: 2.41, 14.78), respectively. (p = 0.010 and < 0.001, respectively). PSU is an emerging problem among health sciences students in Saudi Arabia with a high prevalence in both genders. Longer years of use, more frequent smartphone upgrades, and higher anxiety levels are associated with PSU among health sciences students. Special health education and psychological support programs are recommended to guide and support future healthcare providers against the consequences of PSU.

Psychological Morbidities Associated With Excessive Usage of Smartphones Among Adolescents and Young Adults: A Review

Adolescents and young adults have progressively become smartphone and internet-dependent. Its addiction is affecting them mentally and physically. Due to its overutilization, it is causing a detrimental effect on them. These dilemmas need to be acknowledged. Furthermore, the goal is to reduce overutilization and overreliance, and the task is to reduce the heavy toll on their mental and psychological condition. We need to review the evidence linking smartphone and social media use with psychological morbidities among adolescents and young adults. The aim of this study is to summarize the present situation and the correlation between smartphones and mental health. Cognitive, emotional difficulties, poor cognitive function, impulsivity, shyness, social networking addiction, low self-esteem, and some medical issues like insomnia, anxiety, depression, and a lack of cognitive control have been linked to excessive smartphone use.

Parental Efficacy in Managing Smartphone Use of Adolescents with Attention-Deficit/Hyperactivity Disorder: Parental and Adolescent Related Factors

Parental management has an important role in preventing problematic smartphone use among adolescents with attention-deficit/hyperactivity disorder (ADHD). This study aimed to examine the parental factors (e.g., demographics, depressive symptoms and parenting styles) and adolescent factors (e.g., demographics, ADHD and oppositional defiant disorder [ODD] symptoms, and problematic smartphone use) related to parental efficacy in managing adolescent smartphone use (PEMASU) among 237 parents of adolescents with ADHD. PEMASU was measured by the Parental Smartphone Use Management Scale. Parental depressive symptoms and parenting styles (parental affection/care and overprotection) were measured by the Center for Epidemiologic Studies—Depression Scale and Parental Bonding Instrument, respectively. Adolescent ADHD and ODD symptoms and problematic smartphone use were measured by the Swanson, Nolan, and Pelham, version IV scale and Problematic Smartphone Use Questionnaire, respectively. Three models of hierarchical linear regression were performed to examine the parental and adolescent factors related to PEMASU. The results indicated that adolescent older age and more severe ODD symptoms and problematic smartphone use were significantly associated with lower PEMASU, whereas greater parental affection/care was significantly associated with higher PEMASU. This study demonstrated that both parental and adolescent factors contribute to PEMASU among parents of adolescents with ADHD. Intervention programs aiming to enhancing PEMASU need to take these related factors into consideration.

The Relationship between Physical Activity and College Students’ Mobile Phone Addiction: The Chain-Based Mediating Role of Psychological Capital and Social Adaptation

The purpose of this study was to investigate the effects and mechanisms of physical activity on mobile phone addiction among college students. A total of 9406 students, ranging from freshmen to seniors, from 35 colleges in four regions of Jiangsu Province were selected using the whole group sampling method. Questionnaires, particularly the International Physical Activity Questionnaire—Long Form (IPAQ), the positive psychological capital scale (PPQ), the social adjustment diagnostic questionnaire (SAFS), and the mobile phone addiction index scale (MPAI), were administered. We found that physical activity negatively predicted mobile phone addiction among university students. Social adaptation partially mediates between physical activity and mobile phone addiction among university students, with separate mediation of psychological capital playing no indirect role. Psychological capital and social adjustment mediate the chain between physical activity and mobile phone dependence among college students. Our findings suggest that physical activity is an important external factor influencing college students’ mobile phone dependence, and it indirectly affects university students’ mobile phone addiction through psychological capital and social adaptation. Improving the physical activity level of college students, enhancing their psychological capital, and promoting improved social adaptation are important ways to prevent mobile phone addiction among college students.

Association between smartphone addiction risk, sleep quality, and sleep duration among Korean school-age children: a population-based panel study

Smartphone addiction is regarded as a public health threat to the lives of children and adolescents. However, its association with sleep quality and quantity is poorly understood in the Korean context. This study investigated the association between smartphone addiction, sleep quality, and sleep duration among Korean school-age children. Our study employed data from the Korean Children and Youth Panel Survey of 2018-2019, which included 4287 participants. Smartphone addiction was assessed using the Smartphone Addiction Proneness Scale. A generalized estimating equation model was used to analyze the data. Children in the high-risk group showed an increased likelihood of poor sleep quality compared to those in the low-risk group (odds ratio (OR) = 1.59, confidence interval (CI) [1.06-2.38]). Children in the potential-risk and high-risk groups showed an increased likelihood of short sleep duration compared to those in the low-risk group (potential-risk: OR = 1.44, CI [1.09-1.90]; high-risk: OR = 2.25, CI [1.66-3.05]) Children who are at high risk for smartphone addiction are likely to have poor sleep quality and short sleep duration. Therefore, appropriate interventions and continuous monitoring are required to protect children from smartphone addiction and improve their sleep quality and duration.

Longitudinal Cross-Lagged Analysis Between Mobile Phone Dependence, Friendships, and Depressive Symptoms Among Korean Adolescents

This study examined reciprocal longitudinal effects between mobile phone dependence, friendships, and depressive symptoms using 3-year longitudinal data from the Korean Children and Youth Panel Survey. An autoregressive cross-lagged model was applied to a sample of 1,737 adolescents. Results suggested that unidirectional relationships exist between the three variables: friendships reduce mobile phone dependence (B = -0.068, p = 0.058; B = -0.118, p < 0.001) and depressive symptoms increase mobile phone dependence (B = 0.082, p = 0.001; B = 0.128, p < 0.001); however, mobile phone dependence does not affect friendships and depressive symptoms. In addition, this study provided evidence of the negative bidirectional relationship between friendships and depressive symptoms. We suggest that, to prevent or treat adolescents' mobile phone dependence, a practical approach regarding friendships and depressive symptoms is needed.

Relationship between Lifestyle and Self-Reported Smartphone Addiction in adolescents in the COVID-19 pandemic: A mixed-methods study

OBJECTIVES

1) To verify the association between Lifestyle and Self-Reported Smartphone Addiction in adolescents; and 2) to analyze the adolescents' perception of this relationship in the context of the COVID-19 pandemic.

METHOD

A mixed-methods research study with a sequential and explanatory design, developed with Brazilian adolescents aged between 15 and 18 years old. In the first phase, a quantitative, observational and cross-sectional study was carried out with 479 participants and, in the second, a qualitative approach of an exploratory and descriptive nature, with 16 participants.

RESULTS

An association was verified between Lifestyle and Self-Reported Smartphone Addiction by adolescents (p < 0.01), with a large size effect (d=0.98). All the domains related to lifestyle were associated with Self-Reported Smartphone Addiction, with greater effects evidenced in the following aspects: high effect for sleep, seat belt, stress and safe sex (d=0.85); and moderate effect for insight (d=0.74) and career (d=0.71). Subsequently, the qualitative analysis resulted in a category that describes how the adolescents understand this relationship in the face of the COVID-19 pandemic.

CONCLUSION

More problematic lifestyles were evidenced among the adolescents classified as dependent. In addition to that, it was understood that the COVID-19 pandemic exerted a considerable impact on the lifestyle and behavior established by the adolescents with their smartphones.

IMPLICATIONS FOR THE PRACTICE

Nurses and other health professionals are essential in the promotion of healthy lifestyles and adaptive behavior in smartphone use, especially in the face of this pandemic scenario and, thus, mitigating the harms to the adolescents' health.

The Impact of Adolescent Resilience on Mobile Phone Addiction During COVID-19 Normalization and Flooding in China: A Chain Mediating

Natural disasters cause long-term psychological problems and increase substance use in some adults. However, it is unclear whether disasters also lead to these problems in adolescents. We hypothesized the influence of adolescent resilience on mobile phone addiction during the normalization of COVID-19 and flooding. We tested the mediating role of coping style and depression, anxiety, and stress (DASS) on phone addiction among 1,751 adolescents in the Henan Province in China. The adolescents were surveyed via an online questionnaire, and we used structural equation modeling to examine the correlations and moderation effects. The results show that coping style and DASS could mediate the relationship between adolescent resilience and mobile phone addiction among Chinese adolescents. A chain of coping styles and DASS mediated the relationship between adolescent resilience and mobile phone addiction in Chinese adolescents.

Approaches and hurdles of implementing pharmacogenetic testing in the psychiatric clinic

Pharmacogenetic (PGx) testing has emerged as a tool for predicting a person's ability to process and react to drugs. Despite the growing evidence-base, enthusiasm, and successful efforts to implement PGx testing in psychiatry, a consensus on how best to implement PGx testing into practice has not been established and numerous hurdles to widespread adoption remain to be overcome. In this article, we summarize the most used approaches and commonly encountered hurdles when implementing PGx testing into routine psychiatric care. We also highlight effective strategies that have been used to overcome hurdles. These strategies include the development of user-friendly clinical workflows for test ordering, use, and communication of results, establishment of test standardization and reimbursement policies, and development of tailored curriculums for educating health-care providers and the public. Although knowledge and awareness of these approaches and strategies to overcome hurdles alone may not be sufficient for successful implementation, they are necessary to ensure the effective spread, scale, and sustainability of PGx testing in psychiatry and other areas of medicine.

The Association Between Binge-Watching Behavior and Psychological Problems Among Adolescents

This study aims to investigate the relationship between binge-watching addiction and family, emotional, conduct, cognitive and anger control problems, hyperactivity, Diagnostic and Statistical Manual of Mental Disorders, 4th Edition (DSM-IV)-ADHD Index, DSM-IV-Inattention, and DSM-IV-Hyperactivity Impulsivity in a large sample of healthy Turkish adolescents. The association between binge-watching behavior addiction and mood disorders in healthy adolescents was examined in this cross-sectional study conducted in Turkey. Participants completed both measures, The Binge-Watching Addiction Questionnaire and The Conners-Wells' Adolescent Self-Report Scale. An online survey of 189 adolescents was conducted. One hundred fourteen subjects (60.3%) were categorized into the binge-watcher group. Results showed important positive associations between binge-watching behavior and emotional, conduct, cognitive problems, and DSM-IV-Inattention. The conducted analysis showed an important association between high frequency of binge-watching and emotional problems (p < 0.001), conduct problems (p = 0.012), cognitive problems (p = 0.001), and inattention (p < 0.001). These findings contributed to our comprehension of adolescents' psychological correlates of television viewing behavior. Further researches on the relationship between extreme binge-watching and psychiatric disorders of adolescents are recommended.

Hedonic use, stress, and life satisfaction as predictors of smartphone addiction

This study examined the relationship between hedonic smartphone use (entertainment, social media, games), perceived life stress, and satisfaction with life with smartphone addiction (SA). We tested the connections using structural equation modeling (SEM) on questionnaire data obtained from 410 participants (73.2% women). Results indicated a good overall fit of the model (χ2 (36) = 58.06, p = .011; CFI = 0.970, TLI = 0.954, RMSEA[90% CI] = 0.039 [0.019, 0.056], SRMR = 0.037). Perceived stress and hedonic use were positive predictors of SA (β = 0.264, p = .001 and β = 0.176, p = .002, respectively). Satisfaction with life did not directly predict SA, but an indirect effect, via perceived stress, was statistically significant (β = -0.146, p = .001). Women showed greater SA than men, but the effect of age was not significant. Perceived stress was negatively predicted by satisfaction with life, and positively by hedonic use. Based on the compensatory internet use theory, hedonic or non-utilitarian smartphone use might be associated with SA. The study concludes that being female, hedonic smartphone use, and perceived life stress predict SA.