Psychometric Properties of the Italian Version of the Smartphone Application-Based Addiction Scale (SABAS)

Problematic Use of Internet Associates with Poor Quality of Life via Psychological Distress in Invididuals with ADHD

Background

Problematic use of internet (PUI) may have negative impacts on psychological distress and quality of life (QoL). This situation might be more profound in people with attention-deficit/hyperactivity disorder (ADHD) due to poorer behavioral control and regulatory capacity. However, there is little evidence regarding mediated effects in the associations between PUI, psychological distress, and QoL in people with ADHD.

Aims

To investigate mediating effects of psychological distress in the associations of problematic smartphone use (PSPU), problematic use of social media (PUSM), and problematic gaming (PG) with QoL in individuals with ADHD.

Methods and Procedures

PUI behaviors of participants with ADHD (n = 99) were assessed using the Smartphone Application-Based Addiction Scale, Bergen Social Media Addiction Scale, and Internet Gaming Disorder-Short Form. Psychological distress was assessed using the Depression, Anxiety, Stress Scale and QoL using the Kid-KINDL.

Outcomes and Results

Psychological distress mediated the associations between PUI and different domains of QoL, except for self-esteem QoL. There were also positively direct effects between PG and physical QoL, PUSM and friends' QoL, and PSPU and physical QoL.

Conclusions and Implications

PUI may associate with poor QoL in people with ADHD via psychological distress. Programs on reducing PUI for people with ADHD are needed.

Problematic smartphone use and two types of problematic use of the internet and self-stigma among people with substance use disorders

BACKGROUND AND AIMS

Guided by the Interaction of Person-Affect-Cognition-Execution (I-PACE) model and a self-stigma framework, this study aimed to investigate relationships between cognitive and affective self-stigma and behavioral self-stigma, problematic use of internet (PUI), and problematic smartphone use (PSU) among people with substance use disorders (SUDs). It also examined mediating roles for affective self-stigma in the relationships between cognitive self-stigma and behavioral self-stigma/PUI/PSU.

METHODS

Using a cross-sectional design, 530 participants diagnosed with SUDs in Taiwan were recruited from a psychiatric center in Taiwan. Mediation models were investigated using the Hayes' Process Macro Model 4.

RESULTS

Mediation analyses indicated that cognitive self-stigma was directly associated with behavioral self-stigma (p < 0.001), but not with either types of PUI or PSU (p-values ranging from 0.41 to 0.76). Affective self-stigma was directly related to behavioral self-stigma (p < 0.001), two types of PUI, and PSU (β = 0.24-0.30; all p < 0.001); cognitive self-stigma was indirectly associated with behavioral self-stigma (β = 0.53; 95  % bootstrapping CI = 0.46, 0.60), two types of PUI, and PSU (β = 0.20-0.25; 95  % bootstrapping CI = 0.08-0.14, 0.31-0.37) via a mediating effect of affective self-stigma.

DISCUSSION AND CONCLUSION

Findings support the I-PACE model in a self-stigma context. The findings also suggest that addressing affective self-stigma may help prevent or reduce behavioral self-stigma, PUI, and PSU among people with SUDs. Longitudinal studies are warranted to investigate over time relationships between self-stigma and PUI/PSU in people with SUDs.

Determination of the cutoff point for Smartphone Application-Based Addiction Scale for adolescents: a latent profile analysis

BACKGROUNDS

The Smartphone Application-Based Addiction Scale (SABAS) is a validated 6-item measurement tool for assessing problematic smartphone use (PSU). However, the absence of established cutoff points for SABAS hinders its utilities. This study aimed to determine the optimal cutoff point for SABAS through latent profile analysis (LPA) and receiver operating characteristic curve (ROC) analyses among 63, 205. Chinese adolescents. Additionally, the study explored whether PSU screening with SABAS could effectively capture problematic social media use (PSMU) and internet gaming disorder (IGD).

METHOD

We recruited 63,205. adolescents using cluster sampling. Validated questionnaires were used to assess PSMU, IGD, and mental health (depression, anxiety, sleep disturbances, well-being, resilience, and externalizing and internalizing problems).

RESULTS

LPA identified a 3-class model for PSU, including low-risk users (38.6%, n = 24,388.), middle-risk users (42.5%, n = 26,885.), and high-risk users (18.9%, n = 11,932.). High-risk users were regarded as "PSU cases" in ROC analysis, which demonstrated an optimal cut-off point of 23 (sensitivity: 98.1%, specificity: 96.8%). According to the cutoff point, 21.1% (n = 13,317.) were identified as PSU. PSU adolescents displayed higher PSMU, IGD, and worse mental health. PSU screening effectively captured IGD (sensitivity: 86.8%, specificity: 84.5%) and PSMU (sensitivity: 84.5%, specificity: 80.2%).

CONCLUSION

A potential ideal threshold for utilizing SABAS to identify PSU could be 23 (out of 36). Employing SABAS as a screening tool for PSU holds the potential to reliably pinpoint both IGD and PSMU.

Psychometric Properties of the Serbian Smartphone Application-Based Addiction Scale (SABAS) and Validation of the English Version Among Non-native English Speakers

The present study evaluated the psychometric properties of the Serbian Smartphone Application-Based Addiction Scale (SABAS) and the original English version of the same scale administered to a Serbian-speaking sample. In Study 1, 599 participants completed Serbian SABAS, with 189 having both test and retest data. Results suggested good internal consistency (α = .81) and test–retest reliability (ICC = .795, p < .001, 95% CI [.731, .844], rtest-retest = .803) of the scale. Convergent validity of the SABAS was evaluated through correlations with the Smartphone Addiction Scale–Short Version (SAS-SV), as well as with anxiety, depression, worry, duration, and purpose of smartphone use. Divergent validity of the SABAS was evaluated through comparing the correlations with entertainment and productive smartphone use. The modified CFA model showed an acceptable fit (χ2(8) = 25.53, p = .001, CFI = .961, TLI = .926, RMSEA = .096, SRMR = .042), confirming the unidimensionality of the SABAS. In the second study, the English SABAS, completed by 335 non-native speakers from Serbia, also showed a good fit of the single-factor model (χ2(9) = 12.56, p = .184, CFI = .990, TLI = .984, RMSEA = .036, SRMR = 0.026), and good psychometric features. Based on the study’s findings, the Serbian version of SABAS is a reliable and valid measure for screening the risk of smartphone addiction. Moreover, the English version can be used among non-native Serbian English speakers.

The Psychometric Properties of the DASS-21 and Its Association with Problematic Internet Use among Chinese College Freshmen

During transitional periods, college freshmen may experience mental health issues. The Depression, Anxiety, and Stress Scale-21-item version (DASS-21) is commonly used for mental health assessment in China. However, evidence is lacking regarding its applicability with freshmen as a demographic. Debates also exist regarding its factor structure. This study aimed to evaluate the DASS-21's psychometric properties with Chinese college freshmen and investigate its association with three kinds of problematic Internet use. A convenience sampling method was used to recruit two samples of freshmen-one of 364 (female 248; mean age 18.17 years) and the other of 956 (female 499; mean age 18.38 years) participants. McDonald's ω and confirmatory factor analysis were conducted to evaluate both the scale's internal reliability and construct validity. The results indicated acceptable reliability, with a one-factor structure inferior to a three-factor structure in terms of model fit. Furthermore, it was demonstrated that problematic Internet use was significantly and positively associated with depression, anxiety, and stress among Chinese college freshmen. Based on the prerequisite of measurement equivalence across two samples, the study also found that freshmen's problematic Internet use and psychological distress were likely to be affected by the strict measures put in place during the COVID-19 pandemic.

Exploring mediational roles for self-stigma in associations between types of problematic use of internet and psychological distress in youth with ADHD

BACKGROUND

Several studies have linked the problematic use of the Internet (PUI) to psychological distress. Youth with attention deficit hyperactivity disorder (ADHD) are considered a particular disadvantaged population with a high risk of developing PUI, psychological distress, and self-stigma. Nonetheless, the interrelationships of PUI, self-stigma, and psychological distress in adolescents with ADHD are not well understood.

AIMS

This study investigated whether self-stigma mediates relationships between different forms of PUI, such as problematic gaming (PG), problematic social media use (PSMU), problematic smartphone use (PSPU), and psychological distress (i.e., depression, anxiety, and stress), in children with ADHD.

METHODS AND PROCEDURES

We recruited 100 youth with ADHD (mean age=10.80 [SD=3.07] years; 84 boys) from psychiatric outpatient clinics in Taiwan. All participants were assessed for PUI (via Internet Gaming Disorder-Short Form for PG, Bergan Social Medica Addiction Scale for PSMU, and Smartphone Application-Based Addiction Scale for PSPU), self-stigma (via Self-Stigma Short-Scale), and psychological distress (via Depression, Anxiety, Stress Scale).

OUTCOMES AND RESULTS

The results of path and bootstrapping analyses indicated that self-stigma mediated the associations between PSMU and PSPU, but not PG, and depression, anxiety, and stress.

CONCLUSIONS AND IMPLICATIONS

This study expands the extant literature by revealing that self-stigma mediates the association between specific forms of PUI and psychological distress in adolescents with ADHD. Interventions aimed at reducing self-stigma and PUI, particularly PSMU and PSPU, may help decrease psychological distress among adolescents with ADHD.

Temporal associations between physical activity and three types of problematic use of the internet: A six-month longitudinal study

Background and aims

Internet use has become an important part of daily living. However, for a minority it may become problematic. Moreover, problematic use of the Internet/smartphone (PUIS) has been associated with low physical activity. The present study investigated the temporal associations between three types of PUIS (i.e., problematic smartphone use [PSPU], problematic social media use [PSMU] and problematic gaming [PG]) and physical activity among Taiwanese university students.

Methods

A six-month longitudinal survey study comprising three time points for assessments was conducted. From the original 974 participants, a total of 452 completed all three waves of an online survey comprising the International Physical Activity Questionnaire Short Form (IPAQ-SF) assessing physical activity level, Smartphone Application-Based Addiction Scale (SABAS) assessing PSPU, Bergen Social Media Addiction Scale (BSMAS) assessing PSMU, and Internet Gaming Disorder Short Form (IGDS9-SF) assessing PG.

Results

The linear mixed effects model found positive temporal associations of PSMU and PG with physical activity level (PSMU: B = 85.88, SE = 26.24; P = 0.001; PG: B = 36.81, SE = 15.17; P = 0.02). PSPU was not associated with physical activity level (B = 40.54, SE = 22.99; P = 0.08). Additionally, the prevalence rates were 44.4% for at-risk/PSPU, 24.6% for at-risk/PSMU, and 12.3% for at-risk/PG.

Discussion and Conclusions

PSMU and PG unexpectedly demonstrated correlations with higher physical activity level. The nature of these relationships warrants additional investigation into the underlying mechanisms in order to promote healthy lifestyles among university students.

Evaluation of the English Version of the Smartphone Application-Based Addiction Scale (SABAS) among an Adolescent Sample

The increased use of smartphones among adolescents has highlighted the need to distinguish between problematic and non-problematic smartphone use. To date, there are a lack of short, easy-to-use, and valid psychometric tools to assess smartphone addiction. The primary aim of the present study was to conduct the first psychometric assessment and evaluation of the Smartphone Application-Based Addiction Scale (SABAS) among English-speaking adolescents. Participants were 1175 students recruited from across four different high schools in New Zealand, of which 1031 completed all questions and were used in the final analyses. Several psychometric tests were conducted to ascertain reliability and validity. The SABAS had high internal consistency. Consistent with earlier validation studies, the SABAS displayed weak-moderate, positive relationships with symptoms of depression (PHQ-2), anxiety (GAD-2), and sleep quality. Overall, the SABAS is a sound, unidimensional scale with robust psychometric properties and is a short and easy-to-use measure that can be used confidently among English-speaking adolescents.

The Italian version of the mobile phone problematic use scale for adults (MPPUS): A validation study

The Mobile Phone Problematic Use Scale (MPPUS) is a self-report measure developed to identify the problematic use of mobile phones (PSU) among adults. The purpose of this study was to create an Italian version of this scale. A sample of 568 Italian adults completed the MPPUS, presented in association with another validated scale for the assessment of smartphone addiction. We carried out exploratory factor analyses on the MPPUS. Findings emphasised that the Italian version of the MPPUS fits a bi-factor model, in which the general factor 'PSU' was found, including two additional specific factors (i.e., 'Withdrawal and social aspects' and 'Craving and escape from other problems'). The MPPUS was correlated with the Smartphone Addiction Scale short version. With respect to criterion-oriented validity, the MMPUS was also evaluated in relation to socio-demographic variables (i.e., age and gender). The internal consistency and temporal stability of the scales (test-retest assessment after three months) were confirmed.

Temporal associations between problematic use of the internet and self-stigma among people with substance use disorders: A cross-lagged model across one year

Self-stigma is a common experience for people with substance use disorders (SUDs). Understanding factors associated with self-stigma may aid in intervention development. This study investigated the reciprocal relationship between three types of problematic use of the internet [PUI; i.e. problematic use of social media (PUSM), problematic smartphone use (PSPU), and problematic gaming (PG)] and self-stigma among people with SUDs. This longitudinal study involved five waves of a survey given to individuals with SUDs in Taiwan. A total of 319 participants (85% male), with a mean age of 42.2 years (SD = 8.9), were recruited. The Smartphone Application-Based Addiction Scale, Bergen Social Media Addiction Scale, Internet Gaming Disorder-Short Form, and Self-Stigma Scale-Short Form were used. No significant associations between PUI and self-stigma were found in early waves (i.e., Waves 1 and 2). The earliest significant finding was identified between Wave 2 PSPU (smartphone) and Wave 3 self-stigma. Additionally, Wave 3 PSPU (smartphone) and PG (gaming) were associated with Wave 4 self-stigma, and Wave 4 PSPU (smartphone), PG (gaming), and PUSM (social media) were associated with Wave 5 self-stigma. Therefore, all three types of PUI (internet) may elevate self-stigma at different time points for individuals with SUDs. However, the reciprocal effects between self-stigma and PUI (internet) only occurred in PUSM (social media) at a later stage (i.e., from Wave 4 to Wave 5). In conclusion, people with SUDs who have PUI (internet) are at increased likelihood of developing more self-stigma, which may then increase subsequent PUSM (social media), forming a vicious cycle.

Development and Validation of the Digital Life Balance (DLB) Scale: A Brand-New Measure for Both Harmonic and Disharmonic Use of ICTs

The use of new technologies and information communication technology services (ICTs) has greatly increased, especially after the COVID-19 pandemic, resulting in an irrevocable change in people's work-life balance (WLB). Despite the thriving literature on the dysfunctional use of new technologies, a functional use of ICTs also seems to be possible. Inspired by the theory of psychology of harmony and referring to behavioral addiction models and substance use models, we defined the construct of digital life balance to indicate a harmonic balance between digital life and real life. In this context, the imbalance between online and offline life may reflect a dysfunctional use of ICTs and can be seen as a process of disharmonization. With this perspective in mind, the aim of this study was to develop a dedicated measuring instrument that could capture both people's balanced and unbalanced use of ICTs. Through two cross-sectional studies (Study 1= 1473 participants; Study 2 = 953 participants), we validated the scale internally and externally. In line with the literature, Digital Life Balance scores appeared to be negatively associated with addiction measures and positively associated with well-being measures. In conclusion, the Digital Life Balance (DLB) Scale appears to be a reliable (ω = 0.89) and valid instrument to investigate people's harmonic and disharmonic use of ICTs.

Effects of sleep quality on the association between problematic internet use and quality of life in people with substance use disorder

BACKGROUND

Problematic internet use, especially in people with substance use disorder, may negatively affect their quality of life (QoL). However, it is unclear whether sleep quality is a key mediator in the association between problematic internet use and QoL among people with substance use disorder.

AIMS

This study aimed to investigate the relationship between problematic internet use and QoL and how sleep quality may mediate the association between these two variables.

METHOD

Overall, 319 people (85% male) with substance use disorder (mean age 42.2 years, s.d. 8.9) participated in a cross-sectional study in Taiwan. The Smartphone Application-Based Addiction Scale, Bergan Social Media Addiction Scale, Internet Gaming Disorder-Short Form, Pittsburgh Sleep Quality Index and World Health Organization Quality of Life Questionnaire Brief Version were used.

RESULTS

The prevalence of sleep problems was 56%. There were significant and direct associations between sleep quality and two types of problematic internet use, and between sleep quality and different dimensions of QoL. All types of problematic internet use were significantly and negatively correlated with QoL. Mediated effects of sleep quality in relationships between the different types of problematic internet use and all dimensions of QoL were significant, except for problematic use of social media.

CONCLUSIONS

Different types of problematic internet use in people with substance use disorder may be directly associated with reduced QoL. Sleep quality as a significant mediator in this association may be an underlying mechanism to explain pathways between problematic internet use and QoL in this population.

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.

Internet Addiction, Phubbing, Psychological Variables and Self-Perception of Mathematical Competence in College Students

Internet Addiction (IA) and phubbing are prevalent, disruptive behaviours among university students. The aim of this study was to explore the relationship between IA and Phubbing with psychological variables (impulsiveness, self-esteem, and psychological distress), academic performance and self-perception of mathematical competence (SMC), as well as possible gender differences. Results showed (n = 715; Mean Age = 21.7) gender differences in lack of planning, emotional investment and somatisation and IA correlated positively with app addiction, mobile addiction, and psychopathology. A total of 26.3% of IA can be explained by a lack of self-control, time and performance management, mobile phone addiction, anxiety and psychological distress. Finally, 71% of students believe that the use of new technologies has worsened their SMC and this is correlated with impaired communication, obsession with mobile phones, IA (Total Phubbing Scale) and impulsiveness. Our results indicate the importance of taking into account psychological variables that affect the development of IA, phubbing, and SMC in the university population.

Internet-Related Behaviors and Psychological Distress Among Schoolchildren During the COVID-19 School Hiatus

This study assessed the mediating roles of problematic gaming, problematic social media use, and problematic smartphone use in the associations between psychological distress and screen time use among primary school children during the school hiatus due to the outbreak of the novel coronavirus disease 2019 (COVID-19). Students (n = 2,026; mean [standard deviation] age = 10.71 years [1.07]; 1,011 [49.9 percent] girls) in Sichuan, China completed a cross-sectional online survey, and this study was approved by the ethics committee of the Hong Kong Polytechnic University (IRB ref: HSEARS20190718001). The Internet Gaming Disorder Scale-Short Form, Bergen Social Media Addiction Scale, and Smartphone Application-Based Addiction Scale were used to assess problematic gaming, social media use, and smartphone use. The Depression, Anxiety, Stress Scale-21 was used to assess distress, and an item rated on a 0-10 scale was included to assess fear of being infected by COVID-19. Fear of being infected by COVID-19 was assessed because this could be a confounding variable in the association between psychological distress and screen time use. Increased time spent on gaming, social media, and smartphones was associated with greater problematic gaming, problematic social media use, problematic smartphone use, and psychological distress, but was not associated with fear of COVID-19 infection. Mediation analyses showed that problematic gaming, problematic social media use, and problematic smartphone use were significant mediators in the association between psychological distress and increased time spent on Internet-related activities during the COVID-19 outbreak period. Children who had psychological distress during COVID-19 outbreak might have spent longer time on Internet-related activities due to the school hiatus and problematic use of Internet-related activities. Parents/caregivers are recommended to monitor their children's use of Internet while encouraging children to engage in positive activities to ease the concern of negative psychological responses during the COVID-19 pandemic.

Adaptation and Psychometric Analysis of the Test of Mobile Phone Dependence-Brief Version in Italian Adolescents

Since the diffusion of recent models of mobile phones, anyone with an internet connection can communicate continuously and search for information. This raises some questions about the possible consequences of problematic mobile phone use (PMPU) in a complex life phase such as adolescence. Therefore, we performed a psychometric analysis of the brief version of the Test of Mobile Phone Dependence (TMD) in Italy. The sample comprised 575 Italian adolescents aged 11 to 18 years. Data were collected using the TMD-brief, the Personality Inventory for the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) and the Patient-Reported Outcomes Measurement Information System (PROMIS) Sleep Disturbance Short Form. Regarding test dimensionality, the best-fit measurement model included four factors: "Abstinence"; "Abuse and interference with other activities"; "Tolerance"; and "Lack of control" (Satorra-Bentler χ2 (48) = 185.96, p < 0.01; robust root mean square error of approximation (RMSEA) = 0.079 (90% confidence interval (CI): 0.067; 0.091); robust TLI = 0.904; robust comparative fit index (CFI) = 0.930). The Italian version of the TMD-brief was found to have good reliability and psychometric properties, and a four-factorial structure. PMPU predicted significant sleep disturbances and this relationship was moderated by clinical personality traits. Findings from this study support the use of the Italian version of the TMD-brief as a screening tool to investigate PMPU in Italian adolescents.

Psychological distress and internet-related behaviors between schoolchildren with and without overweight during the COVID-19 outbreak

OBJECTIVE

The novel coronavirus disease 2019 (COVID-19) pandemic, and its resulting social policy changes may result in psychological distress among schoolchildren with overweight. This study thus aimed to (1) compare psychological distress (including fear of COVID-19 infection, stress, anxiety, and depression), perceived weight stigma, and problematic internet-related behaviors between schoolchildren with and without overweight; (2) assess whether perceived weight stigma and problematic internet-related behaviors explained psychological distress.

METHODS

Schoolchildren (n = 1357; mean age = 10.7 years) with overweight (n = 236) and without overweight (n = 1121) completed an online survey assessing their fear of COVID-19 infection, stress, anxiety, depression, perceived weight stigma, problematic smartphone application use, problematic social media use, and problematic gaming.

RESULTS

Schoolchildren with overweight had significantly higher levels of COVID-19 infection fear, stress, depression, perceived weight stigma, and problematic social media use than those without overweight. Regression models showed that perceived weight stigma and problematic internet-related behaviors were significant predictors of psychological distress among schoolchildren with overweight.

CONCLUSION

Strategies to manage perceived weight stigma and problematic internet-related behaviors may have a positive influence on mental health among schoolchildren with overweight under health-threatening circumstances, such as the current COVID-19 pandemic.

Psychometric Properties of Three Simplified Chinese Online-Related Addictive Behavior Instruments Among Mainland Chinese Primary School Students

BACKGROUND/OBJECTIVE

There are inadequate screening instruments for assessing specific internet-related addictions among mainland Chinese primary school students. Therefore, the present study validated the psychometric properties of three simplified Chinese online-related addictive behavior instruments among mainland Chinese primary school students.

METHOD

Fourth to sixth graders (n = 1108; 48.3% males; mean [SD] age = 10.37 years [0.95]) completed the nine-item Internet Gaming Disorder Scales-Short Form (IGDS-SF9), Bergen Social Media Addiction Scale (BSMAS), and Smartphone Application-Based Addiction Scale (SABAS) in a classroom. The factorial structures and the unidimensionality of the three scales were examined using confirmatory factor analyses (CFAs). Measurement invariance of the three scales was examined using multigroup confirmatory factor analyses (MGCFAs) across gender.

RESULTS

The findings demonstrated that the three scales (Cronbach's α = 0.73 to 0.84) had unidimensional structure as supported by satisfactory fit indices (comparative fit index = 0.98 to 1.00). The MGCFA findings indicated that the unidimensional structures of the three scales were invariant across gender.

CONCLUSIONS

The findings indicate that the three simplified Chinese scales (IGDS-SF9, BSMAS, and SABAS) are valid instruments for assessing online-related addictive behaviors among mainland Chinese primary school students irrespective of their gender.

Psychometric Analysis and Validation of the Italian Bergen Facebook Addiction Scale

Social media use, and specifically Facebook use, has become increasingly popular over the past decade. Despite the many benefits of social networking, a small minority of individuals appear to develop issues surrounding social media use, and more specifically Facebook use. It has, therefore, led some scholars to describe such problematic activity as a behavioral addiction. Such problematic behaviors have been reported in many countries including Italy. The present study validated and examined the reliability and validity of the Italian version of the Bergen Facebook Addiction Scale (BFAS) by conducting a psychometric examination among an Italian sample of adults (n = 217; aged 18 to 68 years). Internal reliability was examined using various indicators, including Cronbach’s α, which was excellent (α = 0.94). Results indicated that Facebook addiction was significantly correlated with social media addiction, smartphone addiction, narcissism, depression, and self-esteem. The results of the present study support the use of the Italian version of the BFAS in research and confirms the uni-dimensional nature of the single factor proposed by the original authors.