Development and validation of a smartphone addiction scale (SAS)

Smartphone addiction is more harmful to adolescents than Internet gaming disorder: Divergence in the impact of parenting styles

Background

The adverse effects of smartphone addiction (SPA) and Internet gaming disorder (IGD) on adolescents' mental health have been widely recognized. However, the influence of parenting styles on these high-risk Internet use behaviors of adolescents still remain elusive. Aiming to identify preventable patterns for adolescents with SPA or IGD, this study compared the mental health status between adolescents with SPA and IGD and used path analysis to confirm actual effects of parenting styles on SPA and IGD.

Methods

Participants were enrolled at a junior high school in Hunan Province and a senior high school in Shanxi Province, China [n = 3,049, female (male): 50.5% (49.5%), mean age = 15.68 ± 1.54]. All participants reported their socio-demographic characteristics and undertook standardized assessments of SPA, IGD, parenting styles, depression, anxiety, insomnia, self-control, and support utilization.

Results

High levels of parental care and low levels of parental overprotection benefited adolescents' mental health with SPA and IGD. However, despite having a more positive parenting style, adolescents with only SPA showed more severe mental health problems than adolescents with only IGD. Furthermore, the results showed that the parenting style of encouraging autonomy might be a protective factor against IGD, but it might reinforce SPA indirectly by reducing abilities of support utilization and self-control in whole sample.

Conclusion

Compared to IGD, SPA which included different kinds of Internet addiction behaviors, was more hazardous for adolescents' mental health. The divergent effects of an autonomy-encouraging parenting style on SPA and IGD may reflect the different impacts of self-control in different types of Internet addiction.

Impact of smartphone overuse on 1-year severe depressive symptoms and momentary negative affect: Longitudinal and experience sampling findings from a representative epidemiological youth sample in Hong Kong

Smartphone overuse can have detrimental impacts on youth mental health. How it may be longitudinally associated with depressive symptoms and functioning, and with daily momentary affect, remains to be investigated. A total of 3,033 young people were consecutively recruited from a large-scale epidemiological youth mental health study in Hong Kong. A subsample (n = 936) was followed-up after 1 year, with experience sampling data collected from 177 participants. Separate multivariable logistic regression models were applied to examine the prospective associations between smartphone overuse and depressive symptoms, with multilevel models fitted to examine its associations with momentary affect. The prevalence of smartphone overuse in the Hong Kong youth population was 29.3%. Smartphone overuse was significantly associated with more depressive symptoms and functional impairments both cross-sectionally and longitudinally. The associations between smartphone overuse and 1-year depressive symptoms were significant, even when accounting for baseline symptoms, social media use, and other risk and protective factors. Baseline depressive symptoms, in contrast, were not associated with 1-year smartphone overuse after adjusting for baseline smartphone overuse. Smartphone overuse was also significantly associated with higher levels of momentary negative affect, even when accounting for depressive symptoms. Strategies to mitigate the impact of smartphone overuse can have important long-term implications.

Beyond tingles: An exploratory qualitative study of the Autonomous Sensory Meridian Response (ASMR)

This qualitative exploratory study investigated the embodied experiences and the meanings of Autonomous Sensory Meridian Response (ASMR) from the viewer's perspective. ASMR research has been sparse and largely quantitative, assuming it to be a predominantly fixed physiological response of "tingles", despite the acronym being rooted in pseudoscience. A qualitative research design was adopted to facilitate the exploratory nature of the study in this under-researched area. In contrast to the mostly survey-based research on ASMR, this study employed semi-structured interviews as a means to understand the lived experience of ASMR and to promote participant agency. Six self-identifying ASMR consumers were recruited using a mixture of snowball and opportunity sampling. Semi-structured interviews were conducted both in person and using Skype to facilitate transnational data collection. Interview transcripts were analysed using an inductive, data-driven approach to thematic analysis. The analysis suggests that ASMR is felt to provide a social environment of comfort rather than a solely physiological-based experience. Three key themes emerged: who and what defines ASMR? (reflecting the variety of what was classed as ASMR and what content was consumed to produce the response); "real" intimacy tailored to me (reflecting the idiosyncratic perception of intimacy made possible through ASMR); and emotional relief on my terms (reflecting the role of ASMR in self-soothing). The present data reflect a rich, complex experience of the ASMR consumer, pointing to potential wider applications and informing further research.

Association between Physical Activity, Sedentary Behavior, Satisfaction with Sleep Fatigue Recovery and Smartphone Dependency among Korean Adolescents: An Age- and Gender-Matched Study

The purpose of this study was to identify the association between physical activity (PA), sedentary behavior (SB), satisfaction with sleep fatigue recovery (SSFR), and smartphone dependency in South Korean adults. We analyzed data from the National Health and Nutrition Examination Survey 2020 data. We selected participants who answered Internet addiction-related questions as “Very much” (n = 241) and answered Internet addiction-related questions as “Not at all” (n = 241) in the questionnaire. The participants were matched by age and gender, then divided into two groups. Between the two groups, there were considerable differences in the number of days participating in moderate to vigorous PA (5 days or more, p = 0.01), the number of strength training days (1 day, p = 0.02), the number of light PA days for more than 60 min (every day for the last 7 days, p = 0.01), and the SSFR over the past 7 days (p < 0.05). Additionally, the mean smartphone usage time and mean sedentary behavior time between the two groups showed significant differences. The study demonstrated that there were significant associations between PA, SB, SSFR, and smartphone dependency among Korean adolescents matched by age and gender. Additionally, this study highlights the importance of increasing overall PA and number of days participating in MVPA, decreasing SB time and smartphone usage time could reduce the incidence of smartphone overdependence.

Prevalence of smartphone addiction and its associated factors among pre-clinical medical and dental students in a public university in Malaysia

INTRODUCTION

Smartphone addiction is becoming a global concern affecting every part of society, including healthcare professionals. This study aimed to identify the prevalence of risk of smartphone addiction and its associated factors among medical and dental students in a public university in Malaysia.

METHOD

This cross-sectional study was conducted among pre-clinical medical and dental students using convenience sampling. Questions regarding sociodemographic profile and responses to the Smartphone Addiction Scale Short Version (SAS-SV) and Depression, Anxiety and Stress Score questionnaire (DASS-21) were collected. Multiple logistic regression testing was used to analyse the factors associated with smartphone addiction.

RESULTS

We invited 409 pre-clinical medical and dental students to participate voluntarily, resulting in a response rate of 80.2%. The prevalence of high-risk smartphone addiction among the participants was 47.9%. Male participants, participants who used smartphones mainly for social media, and participants with depressive symptoms were more likely to have a high risk of smartphone addiction. Medical students, participants who spent less than 3 hours per day on a smartphone, and participants who used smartphones for education-related activities were less likely to have a high risk of smartphone addiction.

CONCLUSION

Smartphone addiction prevalence among pre-clinical medical and dental students was high. Therefore, the authorities should overcome this problem by implementing early measures.

Problematic smartphone use and specific problematic Internet uses among university students and associated predictive factors: a systematic review

University students are a high-risk population with problematic online behaviours that include generalized problematic Internet/smartphone use and specific problematic Internet uses (for example, social media or gaming). The study of their predictive factors is needed in order to develop preventative strategies. This systematic review aims to understand the current state of play by examining the terminology, assessment instruments, prevalence, and predictive factors associated with problematic smartphone use and specific problematic Internet uses in university students. A literature review was conducted according to the PRISMA guidelines using four major databases. A total of 117 studies were included, divided into four groups according to the domain of problem behaviour: problematic smartphone use (n = 67), problematic social media use (n = 39), Internet gaming disorder (n = 9), and problematic online pornography use (n = 2). Variability was found in terminology, assessment tools, and prevalence rates in the four groups. Ten predictors of problematic smartphone use, five predictors of problematic social media use, and one predictor of problematic online gaming were identified. Negative affectivity is found to be a common predictor for all three groups, while social media use, psychological well-being, and Fear of Missing Out are common to problematic smartphone and social media use. Our findings reaffirm the need to reach consistent diagnostic criteria in cyber addictions and allow us to make progress in the investigation of their predictive factors, thus allowing formulation of preventive strategies.

The Impact of Undergraduates' Social Isolation on Smartphone Addiction: The Roles of Academic Anxiety and Social Media Use

The COVID-19 pandemic has an adverse effect on the physical health of societies and individuals. One important concern is the effect of social isolation on the mental health of undergraduates, such as academic anxiety, smartphone addiction and other social psychological problems. The purpose of this study was to investigate associations among undergraduates' social isolation in this special context, social media use for obtaining information about the COVID-19 pandemic (i.e., communicative and non-communicative), academic anxiety, and smartphone addiction. A cross-sectional survey was conducted from May to June in 2022 and a total of 388 undergraduates were included. The results showed significant positive associations between social isolation and smartphone addiction and academic anxiety. Furthermore, academic anxiety played a mediating role in the effect of social isolation on smartphone addiction, which was moderated by non-communicative social media use. Some theoretical and practical implications as well as research limitations are discussed.

Translation and psychometric evaluation of Smartphone Addiction Scale-Short Version (SAS-SV) among Chinese college students

BACKGROUND

Smartphone addiction is very prevalent among college students, especially Chinese college students, and it can cause many psychological problems for college students. However, there is no valid research instrument to evaluate Chinese college students' smartphone addiction.

OBJECTIVE

This study aimed to translate the Smartphone Addiction Scale-Short Version (SAS-SV) into Chinese and evaluate the psychometric characteristics of the Smartphone Addiction Scale- Chinese Short version (SAS-CSV) among Chinese college students.

METHODS

The SAS-SV was translated into Chinese using the forward-backward method. The SAS-CSV was completed by 557 Chinese college students (sample 1: n = 279; sample 2: n = 278). 62 college students were randomly selected from the 557 Chinese college students to be meas- ured twice, with an interval of two weeks. The reliability of the SAS-CSV was evaluated by internal consistency reliability and test-retest reliability, and the validity of the SAS-CSV was evaluated by content validity, structural validity, convergent validity, and discriminant validity.

RESULTS

The SAS-CSV presented good content validity, high internal consistency (sample 1: α = 0.829; sample 2: α = 0.881), and good test-retest reliability (ICC: 0.975; 95% CI: 0.966-0.985). After one exploratory factor analysis, three components (tolerance, withdrawal, and negative effect) with eigenvalues greater than 1 were obtained, and the cumulative variance contribution was 50.995%. The results of confirmatory factor analysis indicated that all the fit indexes reached the standard of good model fit (χ2/df = 1.883, RMSEA = 0.056, NFI = 0.954, RFI = 0.935, IFI = 0.978, TLI = 0.969, CFI = 0.978). The SAS-CSV presented good convergent validity for the factor loading of all the items ranged from 0.626 to 0.892 (higher than 0.50), the three latent variables' AVE ranged from 0.524 to 0.637 (higher than 0.50), and the three latent variables' CR ranged from 0.813 to 0.838 (higher than 0.70). Moreover, the square roots of the AVE of component 1 (tolerance), component 2 (withdrawal) and component 3 (negative effect) were 0.724, 0.778, and 0.798, respectively, higher than they were with other correlation coefficients, indicating that the SAS-CSV had good discrimination validity.

CONCLUSION

The SAS-CSV is a valid instrument for measuring smartphone addiction among Chinese college students.

"Leave your smartphone out of bed": quantitative analysis of smartphone use effect on sleep quality

Smartphones have become an integral part of people's everyday lives. Smartphones are used across all household locations, including in the bed at night. Smartphone screens and other displays emit blue light, and exposure to blue light can affect one's sleep quality. Thus, smartphone use prior to bedtime could disrupt the quality of one's sleep, but research lacks quantitative studies on how smartphone use can influence sleep. This study combines smartphone application use data from 75 participants with sleep data collected by a wearable ring. On average, the participants used their smartphones in bed for 322.8 s (5 min and 22.8 s), with an IQR of 43.7-456. Participants spent an average of 42% of their time in bed using their smartphones (IQR of 5.87-55.5%). Our findings indicate that smartphone use in bed has significant adverse effects on sleep latency, awake time, average heart rate, and HR variability. We also find that smartphone use does not decrease sleep quality when used outside of bed. Our results indicate that intense smartphone use alone does not negatively affect well-being. Since all smartphone users do not use their phones in the same way, extending the investigation to different smartphone use types might yield more information than general smartphone use. In conclusion, this paper presents the first investigation of the association between smartphone application use logs and detailed sleep metrics. Our work also validates previous research results and highlights emerging future work.

The associations between smartphone addiction and self-esteem, self-control, and social support among Chinese adolescents: A meta-analysis

Background

Smartphone addiction has become a social problem that affects the healthy growth of adolescents, and it is frequently reported to be correlated with self-esteem, self-control, and social support among adolescents.

Methods

A meta-analysis was conducted by searching the PubMed, Web of Science, Embase, PsycINFO, PsycArticles, China National Knowledge Infrastructure (CNKI), WANFANG DATA, and Chongqing VIP Information Co., Ltd. (VIP) databases. Stata 16.0 was used to analyse the overall effect and test the moderating effect.

Results

Fifty-six studies were included, involving a total of 42,300 participants. Adolescents' smartphone addiction had a moderately negative correlation with self-esteem (r = -0.25, 95% CI = -0.29 to -0.22, p < 0.001), a strong negative correlation with self-control (r = -0.48, 95% CI = -0.53 to -0.42, p < 0.001), and a weak negative correlation with social support (r = -0.16, 95% CI = -0.23 to -0.09, p < 0.001). Moderation analysis revealed that the correlation between adolescents' smartphone addiction and self-esteem was strongest when smartphone addiction was measured with the Mobile Phone Addiction Tendency Scale for College Students (MPATS; r = -0.38). The correlation between adolescents' smartphone addiction and self-control was strongest when self-control was measured with the Middle school students' Self-control Ability Questionnaire (MSAQ; r = -0.62). The effect of dissertations on smartphone addiction, self-control, and social support among adolescents was significantly larger than that of journal articles. The correlation between adolescents' smartphone addiction and social support was strongest when smartphone addiction was measured with the Mobile Phone Addiction Index (MPAI; r = -0.24). However, the correlations between adolescents' smartphone addiction and self-esteem, self-control, and social support were not affected by age or gender.

Conclusion

There was a strong relationship between smartphone addiction and self-esteem, self-control, and social support among adolescents. In the future, longitudinal research should be carried out to better investigate the dynamic changes in therelationship between smartphone addiction and self-esteem, self-control, and social support.

Systematic review registration

https://www.crd.york.ac.uk/PROSPERO/, identifier: CRD42022300061.

The interconnections among the intensity of social network use, anxiety, smartphone addiction and the parent-child relationship of adolescents: A moderated mediation effect

To explore the mediation role of smartphone addiction on the relationship between parent-child relationships and the intensity of use of social network sites (SNSs), as well as the moderation effect of anxiety, this research conducted self-report questionnaires of the Social networking site (SNS) Usage Questionnaire, Self-Rating Anxiety Scale, Smartphone Addiction Scale and Inventory of Parent and Peer Attachment with 719 adolescents. The results showed that (1) the parent-child relationship negatively predicts SNS usage and (2) smartphone addiction plays a mediating role in the link between the parent-child relationship and SNS usage. (3) The relationship between the parent-child relationship and SNS usage is moderated by anxiety (on the first mediation path), and low levels of anxiety can mitigate the negative impact of the parent-child relationship on smartphone addiction, thus also mitigating the negative effects of the parent-child relationship on SNS usage. Our conclusion highlighted the vital role of the parent-child relationship and anxiety on the influence of smartphone addiction and the intensity of use of SNSs among adolescents. Our research also provides clinical implications: (1) teachers in high school can adopt family group counseling or emotion regulation workshop to help adolescents to prevent addiction to smartphones and social network sites; (2) we can reduce addictive behaviors by designing a series of intervention sessions to improve parent-child relationships and reduce anxiety for adolescents who have been addicted to smartphone and social network sites.

Further exploration of the psychometric properties of the revised version of the Italian smartphone addiction scale – short version (SAS-SV)

Problematic smartphone use (PSU) is an emerging public and social issue, potentially connected to the significant increase in smartphone applications. Different scales have been designed and developed to identify the risk of smartphone addiction, and the 10-item Smartphone Addiction Scale - Short Version (SAS-SV) is one of the most used instruments to assess the risk of PSU. The main objective of the present study was to provide further psychometric properties of the Italian version of the SAS-SV. The study was conducted with a convenience sample of 858 Italian university students. Parallel and confirmatory factor analyses were performed to confirm if the one-factor structure fitted the data well. In addition, because previous studies have emphasised gender and age differences in the SAS-SV, measurement invariance was also tested. Network analysis, predictive validity, and convergent validity were also explored. The parallel analysis results suggested removing Item 3 (feeling pain) because its factor loading was low, resulting in a nine-item SAS-SV. The measurement invariance showed that the SAS-SV performed similarly for gender and age. However, partial scalar invariance across gender and age was observed. Furthermore, gender differences indicated that more females than males scored higher on SAS-SV. No significant age differences were found. The receiver operating characteristic (ROC) curve results indicated a cut-off of 29 points as the best for the SAS-SV (AUC = 0.85). Moreover, among males, the cut-off was 25 (AUC = 0.84), and among females, the cut-off was 30 (AUC = 0.84). The SAS-SV showed a strong association with problematic social media use (PSMU) and other variables related to smartphone use (e.g., time spent on Facebook, Instagram, and WhatsApp). Overall, the present study results indicate that the nine-item SAS-SV appears to be a valid and reliable instrument to assess PSU risk among Italian university students.

Internet addiction is associated with psychological distress in highly schizotypal students

BACKGROUND

There is some limited evidence of an association between technology addictions and emergence of pre-psychotic symptoms, high psychoticism, psychotic like experiences and high schizotypy among young non-clinical adults. These addictions and their subsequent distress are likely to contribute to transition to psychosis in individuals at risk. We aimed to compare smartphone, Internet and Facebook addictions between low and high schizotypal individuals; and to explore the association between these addictions and distress in the high schizotypy group.

METHODS

From a pool of 700 students, the final sample consisted of 74 low schizotypal and 70 high schizotypal students. The Schizotypal Personality Questionnaire, the Bergen Facebook Addiction Scale, the Internet Addiction Test, the Smartphone Addiction Scale-Short Version and the Depression, Anxiety and Stress Scales.

RESULTS

Students of the high schizotypy group displayed significantly greater scores on smartphone (p < .001), Internet (p < .001) and Facebook (p = .001) addictions scales, as compared to those of the low schizotypy group. After controlling for potential confounders, Internet addiction predicted psychological distress in the high schizotypy group (R²  = 0.380, F_(13,55)  = 2.597, p < .001) and explained an additional 19.7% of variation in Depression, Anxiety and Stress Scales total scores in the final model.

CONCLUSION

Although preliminary, our findings shed light on relatively new avenues for prevention and early intervention in psychosis. It is recommended to raise awareness about Internet addiction risks, particularly among vulnerable young adults; and to find ways to turn Internet into a protective rather than stressor factor, by utilizing it as a resource in the care pathway.

Anger and worry are related to problematic smartphone use: A cross-sectional examination of novel psychopathological constructs in a college-aged sample in the United Arab Emirates

Introduction

Problematic smartphone use (PSU) has consistently been shown to be associated with depression and anxiety. However, the association of PSU and psychological constructs beyond these two have rarely been subjected to examination. Worry and anger are transdiagnostic constructs that, given their conceptual similarity with depression and anxiety, may similarly evidence significant relationships with PSU.

Methods

To test these hypotheses, a sample of 264 college-aged students were recruited from a university in the United Arab Emirates. The sample ranged in age from 18 to 36 years (M = 21.51, SD = 2.99). Self-report measures of PSU, worry and anger were administered.

Results

Results revealed statistically significant associations with PSU, anger, and worry – these results were evident following correlational as well as regression analyses. Moreover, using a recommended cut-off score from the literature to identify participants scoring beyond the clinical threshold indicative of PSU, worry and anger scores were significantly higher in the clinical sub-group.

Conclusions

This study's results lend additional credibility to uses and gratifications theory and compensatory internet use theory as it appears that the excessive use of technologies may indeed serve the purpose of compensating for the management of emotional distress. Results are discussed within the context of these two theories.

Association of increased pain intensity, daytime sleepiness, poor sleep quality, and quality of life with mobile phone overuse in patients with migraine: A multicenter, cross-sectional comparative study

BACKGROUND

The number of regular smartphone users has increased dramatically worldwide. Headaches, followed by sleep difficulties, forgetfulness, dizziness, and other ailments, are among the most prevalent complaints among smartphone users during or after use. In addition, migraine is a debilitating disease and is the world's second leading cause of disability. Hence, we performed this study to determine how smartphone overuse influenced migraine patients' level of disability, pain intensity, sleep quality, and overall quality of life.

METHODS

In this observational study, the patients were divided into two groups high mobile phone use group (HMPUG) and the low mobile phone user group (LMPUG) using the Mobile Phone Problematic Use Scale. We assessed, for each group, patients' level of disability, pain intensity, sleep quality, daytime sleepiness, and quality of life through the Migraine Disability Assessment Scale, Visual Analogue Scale, Pittsburgh Sleep Quality Index, Epworth Sleepiness Scale, and 24-h Migraine Quality of Life Questionnaire, respectively.

RESULTS

Our study showed that the respondents' average age was  27.59 (9.79) years. The average number of family members was 5.98 (2.3251). A total of 65.8% (n = 263) of the 400 participants were female, while 34.3 % (n = 137) were male. Greater pain intensity, poor sleep quality, and reduced medication effectivity were found in HMPUG compared to LMPUG (p < .05). However, increased duration of migraine and medication intake was reported in the LMPUG (p < .05).

CONCLUSION

We observed that smartphone overuse could worsen pain, sleep, and reduce treatment efficacy in individuals with migraine. Therefore, controlled smartphone use is recommended to avoid worsening symptoms.

An investigation of the relationship between smartphone addiction and job performance of healthcare employees

PURPOSE

To determine the smartphone addiction and employee performance levels of healthcare personnel working in a university hospital and to investigate their relationship.

DESIGN AND METHOD

This study is descriptive and correlational design. The data collection tool consisted of the Descriptive Information Form, Smartphone Addiction Scale, and Employee Performance Scale.

FINDINGS

The majority of participants were female, aged 30 and younger, working night shifts, and physicians. The majority of those who run out of monthly data bundles said they purchase once-off bundles. There was a negative statistically significant relationship between smartphone addiction and employee performance.

PRACTICE IMPLICATIONS

Healthcare employees' level of smartphone addiction adversely affects employee performance and it is recommended for the managers of the institution to develop internal strategies to prevent those effects.

Reinforcer pathology of internet-related behaviors among college students: Data from six countries

Research has demonstrated that repeated engagement in low-effort behaviors that are associated with immediate reward, such as Internet use, can result in a pathological reinforcement process in which the behavior is increasingly selected over other activities due, in part, to a low availability of alternative activities and to a strong preference for immediate rather than delayed rewards (delay discounting). However, this reinforcer pathology model has not been generalized to other Internet-related behaviors, such as online gaming or smartphone use. Given the widespread availability of these technologies, it is also important to examine whether reinforcer pathology of Internet-related behaviors is culturally universal or culture-specific. The current study examines relations between behavioral economic constructs (Internet demand, delay discounting, and alternative reinforcement) and Internet-related addictive behaviors (harmful Internet use, smartphone use, online gaming, and Internet sexual behavior) in a cross-sectional sample of college students (N = 1,406) from six different countries (Argentina, Australia, India, Malaysia, the United Kingdom, and the United States). Using structural equation modeling, Internet demand was associated with harmful Internet use, smartphone use, and online gaming; delay discounting was associated with harmful smartphone use; and alternative reinforcement was associated with harmful Internet and smartphone use. The models were partially invariant across countries. However, mean levels of behavioral economic variables differed across countries, country-level gross domestic product, person-level income, and sex at birth. Results support behavioral economic theory and highlight the importance of considering both individual and country-level sociocultural contextual factors in models for understanding harmful engagement with Internet-related behaviors. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Effect of Excessive Screen Time on Cardiorespiratory Fitness in Children: A Longitudinal Study

Background: This study investigated the effect of different components of screen time (mobile phone use, TV/video viewing, and video gaming) on cardiorespiratory fitness (CRF) development in children aged 9–12 years. Methods: This was a two-year longitudinal study conducted with 175 children (49.7% girls, mean age = 9.5) in Japan. CRF was assessed using a 20 m shuttle run test conducted at baseline and again at follow-up. Children were categorized as “Good” or “Poor” based on the change in CRF scores for each gender. Screen time was assessed using a self-reported questionnaire at baseline and termed as “high” if children reported ≥ 2 h/day. Univariate and multivariate logistic regression analyses were performed after adjusting for gender, physical activity, and time of data collection. Results: Children scoring “high” on mobile phone use had lower odds of being categorized as “Good” in CRF change (crude odds ratio (OR): 0.34; 95% confidence interval (CI): 0.15–0.90 (adjusted OR: 0.33; 95% CI: 0.12–0.91)). There were no significant effects of TV/video viewing (crude OR: 1.54; 95% CI: 0.84–2.81) and video gaming (crude OR: 0.98; 95% CI: 0.48–1.97) on changes in CRF. Conclusions: Limiting excessive mobile phone usage might be important for ensuring healthy development of CRF in children.

Correlations between smartphone addiction and alexithymia, attachment style, and subjective well-being: A meta-analysis

Background

Smartphone addiction (SA) has become a social problem that affects peoples’ quality of life and is frequently reported to be correlated with alexithymia, avoidant or anxious attachment styles, and subjective well-being. This study aimed to investigate the relationship between SA and alexithymia, attachment style, and subjective well-being.

Methods

A meta-analysis was conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The following electronic databases were searched: PubMed, Web of Science, Embase, PsycINFO, PsycArticles, China National Knowledge Infrastructure (CNKI), WANFANG DATA, and Chongqing VIP Information Co., Ltd. (VIP). Stata 16.0 was used to analyze the overall effect and test the moderating effect.

Results

One hundred and ten studies were included, involving a total of 96,680 participants. SA had a significantly high positive correlation with alexithymia (r = 0.40), attachment anxiety (r = 0.37), and negative emotions (r = 0.31), and a low positive correlation with attachment avoidance (r = 0.17). In addition, there was a high negative correlation between SA and subjective well-being (r = –0.33) and a low negative correlation between SA, life satisfaction (r = –0.17), and positive emotions (r = –0.18). A moderation analysis revealed that age significantly moderated the relationship between SA and positive emotions. The tools for measuring SA significantly moderated the relationship between SA, alexithymia, attachment anxiety, and subjective well-being. Meanwhile, subjective well-being measurement tools significantly moderated the relationships between SA, subjective well-being, and negative emotions.

Conclusion

SA was closely related to alexithymia, attachment style, and subjective well-being. In the future, longitudinal research can be conducted to better investigate the dynamic changes in the relationship between them.

Systematic review registration

[www.crd.york.ac.uk/PROSPERO/], identifier [CRD42022334798].

Aberrant intrinsic neural network strength in individuals with "smartphone addiction": An MRI data fusion study

BACKGROUND AND OBJECTIVES

Excessive smartphone use, also referred to as "smartphone addiction" (SPA), has increasingly attracted neuroscientific interest due to its similarities with other behavioral addictions, particularly internet gaming disorder. Little is known about the neural mechanisms underlying smartphone addiction. We explored interrelationships between brain structure and function to specify neurobiological correlates of SPA on a neural system level.

METHODS

Gray matter volume (GMV) and intrinsic neural activity (INA) were investigated in individuals with SPA (n = 20) and controls (n = 24), using multimodal magnetic resonance imaging and multivariate data fusion techniques, that is, parallel independent component analysis.

RESULTS

The joint analysis of both data modalities explored shared information between GMV and INA. In particular, two amplitudes of low frequency fluctuations-based independent neural systems significantly differed between individuals with SPA and controls. A medial/dorsolateral prefrontal system exhibited lower functional network strength in individuals with SPA versus controls, whereas the opposite pattern was detected in a parietal cortical/cerebellar system. Neural network strength was significantly related to duration of smartphone use and sleep difficulties.

DISCUSSION AND CONCLUSIONS

We show modality-specific associations of the brain's resting-state activity with distinct and shared SPA symptom dimensions. In particular, the data suggest contributions of aberrant prefrontal and parietal neural network strength as a possible signature of deficient executive control in SPA.

SCIENTIFIC SIGNIFICANCE

This study suggests distinct neural mechanisms underlying specific biological and behavioral dimensions of excessive smartphone use.

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

BACKGROUND

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

OBJECTIVE

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

DESIGN

A cross-sectional study.

SETTING

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

PARTICIPANTS

1445 nursing students.

METHODS

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

RESULTS

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

CONCLUSION

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

The Impact of Smartphone Addiction on Chinese University Students' Physical Activity: Exploring the Role of Motivation and Self-Efficacy

Background

Previous studies showed that smartphone addiction (SA) can lead to reduced physical activity (PA), but only a few studies have explored the impact of SA from psychological perspective closely related to PA. This study aimed to examine the extrinsic and partial psychological factors leading to decrease in PA using structural equation modelling analysis.

Methods

We conducted an online survey on 628 males and 1159 female students from 10 universities in Henan Province, China, through a questionnaire survey application “Questionnaire Star”. This study used three models to test the mediating effects of three types of motives (intrinsic motives, body-related motives, and social motives) and self-efficacy, respectively, in the relationship between smartphone addiction and physical activities.

Results

Our result confirmed that smartphone addiction leads to lower physical activities. Secondly, self-efficacy mediates smartphone addiction and physical activities, but the mediating effect of all three types of motivation is not significant. Thirdly, smartphone addiction did not affect intrinsic motivation and body-related motivation, but positively affects social motivation. Finally, as the motivation type changes from internal to external, the mediating effect of self-efficacy becomes stronger.

Conclusion

This study showed that smartphone addiction lead to increase social motivation and decreased self-efficacy, and is a potential barrier to personal participation in physical activities. Our findings provide a new perspective for future design physical activities interventions in China and worldwide especially among university students where smartphone addiction is a problem.

Predicting Multiple Sclerosis Outcomes During the COVID-19 Stay-at-home Period: Observational Study Using Passively Sensed Behaviors and Digital Phenotyping

BACKGROUND

The COVID-19 pandemic has broad negative impact on the physical and mental health of people with chronic neurological disorders such as multiple sclerosis (MS).

OBJECTIVE

We presented a machine learning approach leveraging passive sensor data from smartphones and fitness trackers of people with MS to predict their health outcomes in a natural experiment during a state-mandated stay-at-home period due to a global pandemic.

METHODS

First, we extracted features that capture behavior changes due to the stay-at-home order. Then, we adapted and applied an existing algorithm to these behavior-change features to predict the presence of depression, high global MS symptom burden, severe fatigue, and poor sleep quality during the stay-at-home period.

RESULTS

Using data collected between November 2019 and May 2020, the algorithm detected depression with an accuracy of 82.5% (65% improvement over baseline; F₁-score: 0.84), high global MS symptom burden with an accuracy of 90% (39% improvement over baseline; F₁-score: 0.93), severe fatigue with an accuracy of 75.5% (22% improvement over baseline; F₁-score: 0.80), and poor sleep quality with an accuracy of 84% (28% improvement over baseline; F₁-score: 0.84).

CONCLUSIONS

Our approach could help clinicians better triage patients with MS and potentially other chronic neurological disorders for interventions and aid patient self-monitoring in their own environment, particularly during extraordinarily stressful circumstances such as pandemics, which would cause drastic behavior changes.

Loneliness and academic performance mediates the relationship between fear of missing out and smartphone addiction among Iranian university students

BACKGROUND

Fear of missing out (FoMO) can increase loneliness and smartphone addiction and decrease academic performance in university students. Most studies investigated the relationship between FoMO and smartphone addiction in developed countries, and no studies were found to examine this association in Iran. The mediating role of loneliness and academic performance in the relationship between FoMO and smartphone addiction is unclear. This study investigated the relationship between FoMO and smartphone addiction and the mediating role of loneliness and academic performance in this relationship in Iranian university students.

METHODS

In this cross-sectional study, 447 students from Urmia University of Medical Sciences were investigated. Data were collected using demographic questionnaires, Przybylski's FoMO scale, Pham and Taylor's academic performance questionnaire, Russell's loneliness scale, and Kwon's smartphone addiction scale. Data were analyzed using SPSS ver. 23 and SmartPLS ver. 2.

RESULTS

FoMO had a positive and direct association with smartphone addiction (β = 0.315, t-value = 5.152, p < 0.01). FoMO also had a positive and direct association with students' loneliness (β = 0.432, t-value = 9.059, p < 0.01) and a negative and direct association with students' academic performance (β = -0.2602, t-value = 4.201, p < 0.01). FoMO indirectly associated with smartphone addiction through students' loneliness (β = 0.311, t-value = 5.075, p < 0.01), but academic performance was not mediator of smartphone addiction (β = 0.110, t-value = 1.807, p > 0.05). FoMO also indirectly correlated with academic performance through students' loneliness (β =-0.368, t-value = 6.377, p < 0.01).

CONCLUSIONS

FoMO can be positively associated with students' smartphone addiction, and loneliness is an important mediator of this association. Since smartphone addiction could harm students' academic performance, thus, healthcare administrators should reduce students' loneliness and improve their academic performance by adopting practical strategies to help students to manage their time and control their smartphone use. Holding self-management skills classes, keeping students on schedule, turning off smartphone notifications, encouraging students to engage in sports, and participating in group and family activities will help manage FoMO and loneliness.

A network analysis of problematic smartphone use in Japanese young adults

Background

We aimed to explore the overall network structure of problematic smartphone use symptoms assessed by smartphone addiction scale-short version (SAS-SV) and to identify which items could play important roles in the network.

Methods

487 college and university students filled out the study questionnaire, including SAS-SV. We constructed a regularized partial correlation network among the 10 items of SAS-SV. We calculated three indices of node centrality: strength, closeness, and betweenness, to quantify the importance of each SAS-SV item.

Results

We identified 34 edges in the estimated network. In the given network, one item pertaining to withdrawal symptom hadthe highest strength and high closeness centrality. Additionally, one item related to preoccupation was also found to have high centrality indices.

Conclusion

Our results indicating the central role of one withdrawal symptom and one preoccupation symptom in the symptom network of problematic smartphone use in young adults were in line with a previous study targeting school-age children. Longitudinal study designs are required to elicit the role of these central items on the formation and maintenance of this behavioral problem.

Adaptation and psychometric properties of an Arabic version of the smartphone addiction scale (SAS) in the context of Saudi Arabia

BACKGROUND

The growing accessibility to smartphones has raised concerns about addictive patterns associated with these technologies. A Smartphone Addiction Scale has been developed to assess individuals' smartphone addiction. However, the psychometric properties of the Smartphone Addiction Scale are scarce in the context of Saudi Arabia.

AIMS

This study aimed to translate and adapt the Smartphone Addiction Scale (SAS) to Arabic and examine the psychometric properties of the Arabic scale in the context of Saudi Arabia.

METHODS

Forward and backward translations were performed on the English SAS, as recommended by the World Health Organization (WHO, 2016). The translated version was initially administered to 20 students in a pilot study. In the full study, a sample of 624 participants (52.5% females, mean age = 25 years) responded to questionnaires containing SAS, the Hospital Anxiety and Depression Scale, and the Smartphone Application-Based Addiction Scale. The survey was sent via online platforms in order to reach as many and diverse participants as possible. Exploratory and confirmatory factor analyses were conducted.

RESULTS

The EFA resulted in a structure of six factors and the CFA indicated that the 6-factor model (daily disturbance, positive anticipation, withdrawal, cyberspace-oriented relationships, overuse, and tolerance) had a good fit in Saudi Arabia (CFI = 0.92, TLI = 0.90, RMSEA = 0.04, SRMR = 0.04). The scale was also gender invariant and exhibited adequate reliability and convergent and concurrent validity.

CONCLUSIONS

The SAS is a reliable and valid measure that can be used to assess smartphone addiction in Saudi Arabia.

Reliability and validity study of the Indonesian Smartphone Application-Based Addiction Scale (SABAS) among college students

Background/Objective

Smartphone addiction, smartphone dependence, and compulsive smartphone use all describe similar phenomena that can cause problems in everyday daily life in many countries worldwide. Most scholars agree that it is the applications on smartphones that individuals have problems with rather than the smartphone itself. For this reason, smartphone application-based addiction is an issue of concern and one instrument has been specifically developed to assess this risk, namely, the Smartphone Application-Based Addiction Scale (SABAS). Although the SABAS has been translated into a number of languages, it has not been translated or validated into Indonesian.

Methods

The SABAS was translated into Bahasa Indonesian utilizing a cross-cultural method to ensure its linguistic validity. The linguistic validity of the Indonesian SABAS was ensured using international standard translation guidelines. Moreover, reliability and validity testing of the translated Indonesian SABAS were carried out using Cronbach's α, McDonald's ω, confirmatory factor analysis (CFA), and correlations with psychometric scales assessing psychological distress and nomophobia.

Results

Using a sample of 458 participants (mean age = 22.46 years), reliability tests showed that the Indonesian SABAS was acceptable (Cronbach α = 0.74; McDonald's ω = 0.79). Construct validity of the Indonesian SABAS was supported by satisfactory CFA fit indices; concurrent validity supported by good correlations with psychological distress (r = 0.50) and nomophobia (r = 0.61).

Conclusions

The Indonesian version of SABAS is valid and reliable to be used for assessing the risk of smartphone application-based addiction in college students.

Relationship between insecure attachment and mobile phone addiction: A meta-analysis

OBJECTIVE

Many studies have explored the relationship between insecure attachment and mobile phone addiction from different theoretical perspectives; however, the results have been different. This meta-analysis aimed to explore the relationship between insecure attachment and mobile phone addiction.

METHODS

Studies published before November 2021 were identified through a systematic online search. A total of 22 studies, including 38 independent effect sizes were included from a systematic search of multiple databases, with a total sample size of 11,810 cases. Stata Version 16.0 was used for meta-analysis.

RESULTS

The meta-analysis based on random-effects model showed that mobile phone addiction was highly positively associated with attachment anxiety (r = 0.395, 95%CI [0.345, 0.442]) and weakly positively correlated with attachment avoidance (r = 0.194, 95%CI [0.137, 0.250]). The relationship between attachment anxiety and mobile phone addiction and that between attachment avoidance and mobile phone addiction were both moderated by mobile phone addiction measures but not moderated by gender and attachment measures.

CONCLUSION

There is a positive correlation between mobile phone addiction and insecure attachment. In the future, measures to prevent mobile phone addiction should focus on insecure attachment individuals and help them construct a healthy attachment relationship and secure attachment model.

Validity test of the theory of planned behavior in college students’ withdrawal from smartphone dependence

Smartphone usage has brought great convenience to our daily life. However, the detrimental consequences of smartphone dependence also require special attention. Based on the theory of planned behavior (TPB), this study designed a questionnaire to investigate college students’ withdrawal from smartphone dependence. The reliability and validity of the questionnaire were tested. The results showed that the reliability of the questionnaire was good (α = 0.84–0.94). The principal component analysis was conducted, contribution rates of these factors were moderately high (62.06%–82.35%). The validity was verified through confirmatory factor analysis. All the model fit indices were higher than the acceptable standard, which indicated the construct validity of the TPB questionnaire is good. The results of the multi-group structural equation model revealed that the model provided excellent fit to the data in each demographic group. The results of structural equation model presented that, in most demographic groups, students’ attitude, subjective norm, and perceived behavioral control of withdrawal from smartphone dependence positively influenced their behavioral intention. Furthermore, subjective norm was the most effective predictors in each group. However, part of the paths from intention to behavior failed to reach the significant level, and their coefficients are relatively small. This reveals the gap between college students’ withdrawal intention and their actual behavior, and there may be other factors influence the relationship between the two variables.

Mental health literacy of Internet gaming disorder and problematic smartphone use among Korean teenagers

The last few decades have seen an increased interest in ‘Mental Health Literacy (MHL)’ which addresses knowledge and beliefs relating to mental health problems and is likely to hinder treatment-seeking behaviors. Although MHL research to date has explored various mental disorders, far too little attention has been paid to Internet Gaming Disorder (IGD) and Problematic Smartphone use (PSU). The objective of this study is to develop an MHL questionnaire for IGD and PSU by adopting the MHL approach in the previous literature and examine MHL of IGD and PSU in Korean teenagers by focusing on their ability to recognize addictions, and perceptions and help-seeking attitudes towards a person with addictions. The current study also aimed to compare Korean teenagers’ MHL depending on low- and high-risk of IGD and PSU. A total of 169 teenagers aged 10 and 16 years were recruited from schools and children’s centers in Seoul and completed the newly developed MHL questionnaire and screening questionnaires for IGD and PSU. The MHL questionnaire for IGD and PSU was designed as a vignette-based questionnaire that depicted behavioral characteristics of a severe problem with Internet and smartphone usage. Korean teenagers had a poor ability to recognize IGD and PSU and were more prone to seek parental help than professional help. The current study also showed that teenagers had better recognition of IGD than PSU and perceived that a person with IGD has a more difficult life than a person with PSU. Furthermore, a low-risk or high-risk group of IGD or PSU showed minimal differences in MHL. The current study provided empirical evidence to support a need to develop educational programs to improve Korean teenagers’ MHL for both IGD and PSU.

Psychometric evaluation of the internet addiction test in India

The Internet Addiction Test is a widely used assessment of symptoms of internet addiction. Although originally proposed as assessing different components of internet addiction, research has been mixed in terms of its factor structure. This study is the first to examine the psychometric properties of the IAT in an Indian population. A large sample (N = 2700) of Indians living in the Southern city of India were recruited door-to-door and completed the IAT and other validity measures. In Study 1, an exploratory factor analysis (n = 1375) indicated a one-factor structure, with 13 items measuring symptoms of internet addiction. This short-form IAT showed construct and convergent validity by correlating with higher daily internet use, higher scores on measures of problematic internet gaming, social media use, and smartphone use, and functional impact. In Study 2, confirmatory factor analysis (n = 1375) indicted this one-factor structure was a good fit to the data, and the correlations with validity measures were replicated. This short-form IAT appears to be valid as a measure of one underlying factor of problematic internet use in young Indian adults.

Assessing the prevalence and severity of smartphone addiction in postsecondary students: a brief report

Objective: To explore the prevalence and severity of smartphone addiction among a sample of Canadian university students. Participants: A sample of 925 full-time university students enrolled at the host institution were recruited. Participants were primarily undergraduates (70.2%), women (77.1%), and owned an Apple smartphone (70.3%). Methods: Participants completed an online questionnaire including a modified version of the Smartphone Addiction Scale (SAS) and demographics (i.e., degree pursing, gender, type of phone, faculty). Descriptive statistics for SAS sum score were calculated. Univariate ANOVAs were performed to explore differences in smartphone addiction among demographics. Results: Mean SAS sum score was 92.00 (i.e., "moderate" addiction level), 95% CI [90.52, 93.49]. Significant ANOVAs were found for degree, phone type, and faculty. Post-hoc tests revealed undergraduates and Apple users reported significantly higher smartphone addiction. Conclusions: The prevalence and severity of smartphone addiction among Canadian university students represents a budding health concern for postsecondary students.

Anxiety, Addiction to Social Networks, Internet and Smartphones in Paraguayan Adolescents: A Brief Report

Background

Several authors have pointed out that the use of smartphones might have an impact on mental health in general. Most of the evidences are focused on the incorrect or overblown use of smartphones, videogame or Internet, particularly focusing on related addiction problems among adolescents.

Objective

The present study, although preliminary, aims to report the first evidence in Paraguay regarding the association between anxiety and addiction to social networks/internet as well as the use of smartphones among adolescents.

Method

Participants (100 adolescents, aged 12- 17 years old) were assessed in a school setting with the Beck Anxiety Inventory (BAI) and the Scale of risk of Addiction to Social Networks and Internet for adolescents (ERA-RSI). Categorical variables and associations were statistically assessed.

Results

The average smartphone use in boys rated 8.06 ±3.81 hours and in girls 9.46 ±4.4 hours. The BAI mean score was 20.71 ± 13.2. Of the participants, 27% reported moderate anxiety, and 36% severe anxiety and scores on this scale were not associated with hours of smartphone use. The ERA-RSI mean score was 1.94 ± 0.46 and anxiety was related to the symptoms-addiction, social-use, and nomophobia dimensions of the scale.

Conclusion

The misuse of smartphones in the Paraguayan pediatric population has been reported to be closely related to anxious symptoms. Our results suggest further research with an impact on possible public health policies aimed at preserving the mental health of children and adolescents exposed to internet and electronic devices.

Is Problematic Internet and Smartphone Use Related to Poorer Quality of Life? A Systematic Review of Available Evidence and Assessment Strategies

Purpose of Review

Previous studies have explored the links between problematic Internet use (PIU) or problematic smartphone use (PSU) and quality of life (QOL). In this systematic review, we (i) describe the instruments used to assess QOL or health-related quality of life (HRQOL) in these studies, (ii) critically examine the content validity of the instruments used, and (iii) examine the relationships between PIU, PSU, QOL, and HRQOL.

Recent Findings

We identified 17 PIU and 11 PSU studies in a systematic search. Evidence suggests that PIU and PSU negatively correlate with either QOL or HQOL and most of their domains (especially mental and physical health). Multiple instruments were used to assess QOL or HRQOL in these studies. Our analysis showed an important heterogeneity in the domains covered by these instruments.

Summary

Because of the widespread prevalence of PIU and PSU, which tend to be linked with lower QOL or HRQOL, in particular poor mental and physical health, a more systematic public health campaign is required to target the healthy use of these communication devices. Prevention programs should also target vulnerable individuals, focusing on the most affected domains of QOL and HRQOL (i.e., physical and psychological health). Among the existing instruments, the World Health Organization Quality of Life for adults and the Pediatric Quality of Life Inventory for adolescents (aged 13-18 years) proved to be the most relevant, although new measurement instruments are needed to target domains that are specifically relevant in the context of PIU and PSU (e.g., physical and psychological health domains such as sleep, loneliness, and quality of familial relations).

Changes and correlates of screen time in adults and children during the COVID-19 pandemic: A systematic review and meta-analysis

Background

Screen time has increased as a result of the COVID-19 pandemic, and several correlates have been associated with these increases. These changes, however, have not been aggregated. It was the aim of this review to (a) aggregate changes in screen time in adults and children, and (b) report on variables in relation to screen time during the COVID-19 pandemic.

Methods

A systematic review of major databases was undertaken for studies published from inception to 06/12/2021, using a pre-published protocol (PROSPERO ID: CRD42021261422). Studies reporting (a) screen time pre-versus-during the pandemic, (b) screen time percentage change, or (c) correlates of screen time during the pandemic were included. A random effects meta-analysis was undertaken with subgroup analysis by age group and type of screen time.

Findings

After review, 89 studies (n = 204,734; median age=20·6; median female=53·3%) were included. The majority of studies were cross-sectional. With regards to total screen time, primary aged children (6-10 years) reported largest increases (1·4 hrs/day; 95%CI 1·1-1·7), followed by adults (>18 years; 1·0 hrs/day; 95%CI 0·7-1·2), adolescents (11-17 years; 0·9 hrs/day; 95%CI 0·3-1·5), and young children (0-5 years; 0·6 hrs/day 95%CI 0·3-0·9 hrs/day). For leisure screen time (non-work/non-academic), primary aged children reported largest increases (1·0 hrs/day 95%CI 0·8-1·3), followed by adults (0·7hr/day 95%CI 0·3-1·2), young children (0·6 hrs/day; 95%CI 0·4-0·8), with adolescents reporting the lowest increase (0·5 hrs/day 95%CI 0·3-0·7). Several correlates were associated with reported increases in screen time, including adverse dietary behaviours, sleep, mental health, parental health, and eye health.

Interpretation

Pooled evidence suggest that primary aged children reported the highest increase in both total and leisure screen time during COVID-19. It is recommended that screen time should be reduced in favour of non-sedentary activities. This study has the potential to inform public health policy and future guidance regarding screen time, and to inform future research in this area.

Funding

No funding was received for this study.

Multidimensional Profiles of Addictive Smartphone Use: A Latent Profile Analysis

Given that crucial psychological attributes of smartphone addiction have been studied in isolation from each other, we examined latent profiles of emotional distress (depression, stress, loneliness, and fear of missing out; i.e., FoMO); protective traits (self-control, mindfulness, grit); the behavioral inhibition system (BIS) and approach system (BAS; drive, reward responsiveness, and fun seeking) in relation to addictive smartphone use. We identified three distinctive profiles, using five fit statistics: AIC, BIC, adjusted BIC, an entropy, and LRT. The self-controlled, gritty, and mindful profile (22.7%) was characterized by heightened levels of self-control, grit, and mindfulness but lower levels of emotional distress, BIS, and BAS. The emotionally distressed profile (29.8%) was distinguished by elevated levels of depression, stress, loneliness, FoMO, and BIS, but relatively lower protective traits and BAS. Lastly, the approach sensitive profile (47.5%) corresponded to the normative group characterized by relatively higher BAS but mostly average levels of emotional distress and protective traits. When both global and pairwise comparisons between profiles were performed using Wald tests, we found that the self-controlled, gritty, and mindful profile was associated with significantly lower smartphone addiction tendencies than emotionally distressed or approach sensitive profiles, while the latter two did not differ from each other. These results still held when multiple covariates (age, sex, and income) were controlled for. Using a sophisticated person-centered approach, our findings underscore multidimensional psychological profiles that have different associations with smartphone addiction.

Factors affecting the performance of the deep cervical flexors in young people using smartphones

OBJECTIVE

To determine the factors affecting the performance of the deep cervical flexors (DCFs) in young people using smartphones.

METHODS

Eighty-six individuals were enrolled in this study. Joint position sense errors, forward head and protracted shoulder posture, DCFs, and the superficial cervical muscles were evaluated. Smartphone Addiction Scale, State-Trait Anxiety Inventory, and International Physical Activity Questionnaire were used.

RESULTS

Regression analysis indicated that smartphone addiction and superficial cervical muscle strengths affect the performance of DCFs independently (p < 0.05). SAS was correlated with JPSE-flexion (r = 0.408), DCF activity/performance score (r = -0.453/r = -0.431), forward head posture (r = -0.412), and cervical flexor/extensor muscle strengths (r = -0.313/r = -0.319).

CONCLUSION

Smartphone addiction and cervical superficial muscles are related to the performance of the DCFs in young people. Using smartphones causes impaired joint position sense in flexion, decreased DCF activity, and forward head posture.

The social and ethical issues of online learning during the pandemic and beyond

This article describes how the COVID-19 pandemic has forced the higher education institutes in developing nations like India to relook at pedagogical approaches. Due to government imposing nationwide lockdown, higher educational institutes were quickly adopting to imbibe online learning medium. This research takes a qualitative thematic analytical approach to explore the facilitators and challenges to online learning from the perspectives of both learners and educators in higher education institutes. We have specifically explored the ethical and social concerns related to online learning and the possible solution for the same.

Problematic Smartphone Use and Its Associations with Sexual Minority Stressors, Gender Nonconformity, and Mental Health Problems among Young Adult Lesbian, Gay, and Bisexual Individuals in Taiwan

Smartphones are a necessity for many people; however, problematic smartphone use (PSU) may negatively influence people’s mental health. Using multivariate linear regression analysis, the study examined the associations of sexual minority stressors [namely perceived sexual stigma from family members, sexual orientation microaggressions (SOMs), and internalized sexual stigma] and gender nonconformity with PSU severity as well as the associations of PSU with depression and anxiety in young adult lesbian, gay, and bisexual (LGB) individuals. This cross-sectional survey study recruited 1000 young adult LGB individuals (500 men and 500 women). PSU severity was assessed using the Smartphone Addiction Inventory. The experiences of perceived sexual stigma from family members, SOMs, and internalized sexual stigma and the levels of gender nonconformity, depression, and anxiety were assessed. The results indicated that perceived sexual stigma from family members, SOMs, internalized sexual stigma in the dimensions of social discomfort and identity and gender nonconformity were significantly associated with PSU severity in LGB individuals. Moreover, PSU was significantly associated with depression and anxiety in LGB individuals. The findings highlight the significance of developing strategies for the prevention and early detection of PSU and sexual minority stress in LGB individuals.