Smartphone Application-Based Addiction Scale Research Articles

Internet-Related Instruments (Bergen Social Media Addiction Scale, Smartphone Application-Based Addiction Scale, Internet Gaming Disorder Scale-Short Form, and Nomophobia Questionnaire) and Their Associations with Distress among Malaysian University Students.

The present study evaluated the psychometric properties of four instruments related to internet use, namely the Bergen Social Media Addiction Scale (BSMAS), Smartphone Application-Based Addiction Scale (SABAS), (nine-item) Internet Gaming Disorder Scale Short Form (IGDS9-SF), and Nomophobia Questionnaire (NMPQ) as well as their associations with psychological distress among Malaysian university students. A total of 380 Malaysian university students (71.6% females, mean age 24.0 years) were recruited through convenience sampling and completed an online survey including questions concerning socio-demographic background, social media addiction, smartphone addiction, internet gaming disorder, and nomophobia. Confirmatory factor analysis and Rasch analysis were applied to evaluate the psychometric properties of the instruments and Cronbach’s alpha value and McDonald’s omega value were used to confirm the internal consistency reliability of the instruments. The unidimensional structure was confirmed for the BSMAS, SABAS, and IGDS9-SF while the four-factor structure was confirmed for NMPQ. All instruments showed good internal consistency reliability. Promising validity and reliability were confirmed for BSMAS, SABAS, IGDS9-SF, and NMPQ. Therefore, they are useful to assess different types of problematic internet use among university students in Malaysia. Furthermore, a significant association was observed between internet use and psychological distress. The present study is the first to investigate the validity and reliability of BSMAS, SABAS, IGDS9-SF, and NMPQ among Malaysian university students using rigorous psychometric testing methods (i.e., Rasch analysis).

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

Background/ObjectiveSmartphone 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. MethodsThe 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. ResultsUsing 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). ConclusionsThe Indonesian version of SABAS is valid and reliable to be used for assessing the risk of smartphone application-based addiction in college students.

Demographic characteristics, family environment and psychosocial factors affecting internet addiction in Chinese adolescents

BackgroundInternet addiction of adolescents has aroused social concern recently. The present study aims to identify predicting factors of internet addiction on adolescents. MethodsThe demographic characteristics and psychological characteristics of 50, 855 middle school students were investigated through Internet Gaming Disorder Scale- Short Form(IGDS9-SF), Smartphone Application-Based Addiction Scale (SABAS), Bergen Social Media Addiction Scale (BSMAS), Strengths and Difficulties Questionnaire-students (SDQS), 16-Item Version of the Prodromal Questionnaire (PQ-16), Patient Health Questionnaire-9 (PHQ-9), Generalized Anxiety Disorder 7-item (GAD-7), Multidimensional Peer Victimization Scale (MPVS), Warwick-Edinburgh Mental Well-being Scale (WEMWBS), and Connor-Davidson Resilience Scale (CD-RISC10) were used to analyze factors associated with internet addiction by Pearson correlation coefficient and multiple hierarchical regression. ResultsIGDS9-SF, SABAS and BSMAS are positively correlated with SDQS, PQ-16, PHQ-9, GAD-7 and MPVS (r-values ranging from 0.180 to 0.488, p < 0.01). IGDS9-SF, SABAS and BSMAS are negatively correlated with WEMWB and CD-RISC (r-values ranging from −0.242 ~ −0.338, p < 0.01). Multiple hierarchical regression shown gender, one-child, twins, left-behind, rural, education (father), drink (father), smoke (father), CD-RISC-10, SDQS, PQ-16, PHQ-9, GAD-7 and MPVS predicted 32.7 % of the variance in internet gaming disorder (IGD) (F = 1174.949, p < 0.001). Group (junior and senior), Gender, Age, One-Child, Twins, Village, Education (father), Drink (father), Drink (mother), Smoke (father), WEMWBS, CD-RISC-10, SDQS, PQ-16, PHQ-9, GAD-7 and MPVS predicted 28.9 % of the total variance in social media addiction (SMA) (F = 982.932, p < 0.001). Fifteen variables [Gender, Age, Twins, Left-behind, Residence, Residence, Education (mother), Drink(father), Drink (mother), Smoke (father), WEMWBS, CD-RISC-10, PHQ-9, GAD-7 and MPVS] predicted 30.7 % of the variance in smartphone addiction (SA) (F = 1076.02, p < 0.001). ConclusionThe present study found that demographic characteristics, family environment and psychosocial factors were associated with internet gaming addiction, social media addiction and smartphone addiction. Negative psychological factors (such as anxiety and depression) play an important role in different behavioral addictions.

Does Smartphone Addiction, Social Media Addiction, and/or Internet Game Addiction Affect Adolescents' Interpersonal Interactions?

The purpose of this study is to investigate the correlations that levels of addiction to smartphones, social media, and online games have with levels of real-life and online interpersonal interactions among adolescents. In this cross-sectional study of adolescents in a college in Taiwan, structured questionnaire surveys were used to collect information. The questionnaire included the following: demographic background, Real Interpersonal Interaction Scale (RIIS), Internet Interpersonal Interaction Scale (IIIS), Smartphone Application-Based Addiction Scale (SABAS), Bergen Social Media Addiction Scale (BSMAS), and Internet Gaming Disorder Scale—Short Form (IGDS9-SF). Multiple regression analyses were carried out to investigate the correlations between SABAS, BSMAS, IGDS9-SF, and RIIS/IIIS. We recruited 998 students (413 boys). The average age was 17.18 ± 1.46. The study results show that adolescents with higher levels of addiction to smartphones and social media may have greater interpersonal interaction with friends in real life, but adolescents with high levels of addiction to online games may have less interpersonal interactions with friends in real life. Adolescents with high levels of addiction to smartphones, social media, and online games may have greater interpersonal interactions with friends online.

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

BackgroundThe 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. AimsThis 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. MethodsForward 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. ResultsThe 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. ConclusionsThe SAS is a reliable and valid measure that can be used to assess smartphone addiction in Saudi Arabia.

A longitudinal study of the effects of problematic smartphone use on social functioning among people with schizophrenia: Mediating roles for sleep quality and self-stigma.

Background and aimsIndividuals with schizophrenia may often experience poor sleep, self-stigma, impaired social functions, and problematic smartphone use. However, the temporal relationships between these factors have not been investigated. The present study used a longitudinal design to examine potential mediating roles of poor sleep and self-stigma in associations between problematic smartphone use and impaired social functions among individuals with schizophrenia.MethodsFrom April 2019 to August 2021, 193 individuals with schizophrenia (mean [SD] age = 41.34 [9.01] years; 88 [45.6%] males) were recruited and asked to complete three psychometric scales: the Smartphone Application-Based Addiction Scale to assess problematic smartphone use; the Pittsburgh Sleep Quality Index to assess sleep quality; and the Self-Stigma Scale-Short Scale to assess self-stigma. Social functioning was evaluated by a psychiatrist using the Personal and Social Performance Scale. All measures were assessed five times (one baseline and four follow-ups) at three-month intervals between assessments.ResultsGeneral estimating equations found that problematic smartphone use (coefficient = −0.096, SE = 0.021; P < 0.001), sleep quality (coefficient = −0.134, SE = 0.038; P < 0.001), and self-stigma (coefficient = −0.612, SE = 0.192; P = 0.001) were significant statistical predictors for social functioning. Moreover, sleep quality and self-stigma mediated associations between problematic smartphone use and social functioning.ConclusionProblematic smartphone use appears to impact social functioning longitudinally among individuals with schizophrenia via poor sleep and self-stigma concerns. Interventions aimed at reducing problematic smartphone use, improving sleep, and addressing self-stigma may help improve social functioning among individuals with schizophrenia.

A Network Analysis of the Relationships Between Behavioral Inhibition/Activation Systems and Problematic Mobile Phone Use.

BackgroundIt is of great concern to society that individuals can be vulnerable to problematic mobile phone use (PMPU). However, there are a few studies in the field evaluating associations between behavioral inhibition/activation systems (BIS/BAS) and PMPU, and the results have been inconsistent. This study aimed to explore the relationships between BIS/BAS and PMPU by network analysis.MethodsA total of 891 young adults participated in the study. BIS/BAS and PMPU were assessed by using the behavioral inhibition and activation systems scale and smartphone application-based addiction scale, respectively. The structure of the BIS/BAS-PMPU network was characterized using “strength,” “closeness” and “betweenness” as centrality indices. Edge-weight accuracy and centrality stability were tested using a bootstrap procedure.ResultsThe network analysis showed that “mood modification,” “tolerance” and “withdrawal symptoms” had high centrality. In addition, the positive connection between BIS and “mood modification” or “tolerance” and between BAS-fun seeking and “mood modification” or “conflict” were also shown in the BIS/BAS-PMPU network.ConclusionThese findings shed light on the central and bridge components between the BIS/BAS and PMPU communities, providing new evidence relevant to potential mechanisms that account for how high-BIS or high-BAS individuals develop PMPU, and inspiring component-based PMPU prevention or interventions.

Does childhood maltreatment increase the subsequent risk of problematic smartphone use among adolescents? A two-wave longitudinal study

There is a lack of longitudinal data on the relationship between childhood maltreatment and problematic smartphone use and its underlying mechanisms. Therefore, this study aimed to examine the relationship between childhood maltreatment and adolescent problematic smartphone use and explore the mediating effects of basic psychological needs and self-compassion in this relationship. We employed a two-wave longitudinal design among 890 Chinese adolescents (49.0% males, mean age at Time 2 = 15.96 ± 0.46 years). They completed the Childhood Trauma Questionnaire and the Smartphone Application-Based Addiction Scale at Time 1, and the Basic Need Satisfaction Scale, the Self-Compassion Scale, and the Smartphone Application-Based Addiction Scale at Time 2. The results indicated that prior maltreatment experiences positively predicted adolescents’ subsequent problematic smartphone use (p < .001); and basic psychological needs satisfaction and self-compassion did not parallelly mediate the relationship between prior maltreatment experiences and subsequent problematic smartphone use. Finally, basic psychological needs satisfaction and self-compassion completely and sequentially mediated the relationship between prior maltreatment experiences and subsequent problematic smartphone use. Interventions that target students engaging in problematic smartphone use should focus on reducing childhood maltreatment and improving their psychological needs satisfaction and self-compassion.

Psychometric Properties of the Arabic Short Version of the Smartphone Addiction Scale (SAS-SV) in Saudi Arabia

this study aimed to translate and investigate the psychometric properties of the short version of the Smartphone Addiction Scale in Saudi Arabia. A sample of 590 respondents participated in this study and answered the Smartphone Addiction Scale, the Smartphone Application-Based Addiction Scale (SABAS), the Internet Gaming Disorder Scale – Short Form (IGDS-SF) and the Hospital Anxiety and Depression Scale,

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

BackgroundProblematic smartphone use (PSU) has been increasing hastily in recent decades, and it has become inseparable during the COVID-19 pandemic, especially among the students who are at risk of problematic smartphone use. Therefore, the present study aimed to investigate the prevalence and associated factors of PSU during the COVID-19 pandemic among the Bangladeshi students.MethodsA total of 601 Bangladeshi students were recruited through an online-based cross-sectional survey that was conducted between October 7 and November 2, 2020. The survey collected information related to socio-demographics, behavioral health, internet use behaviors, depression, anxiety, and PSU. Independent samples t-test and one-way ANOVA were performed to present the relationship between the studied variables and PSU. Multiple linear regression analysis was also used for investigating the explanatory power of the predictive models for PSU.ResultsSurprisingly, about 86.9% of the students scored to be problematic smartphone users (≥21 out of a total 36 based on the Smartphone Application-Based Addiction Scale). In addition, medical students, engaging in a relationship, performing less physical activity, longer duration of internet use, some sorts of internet use purpose (eg, messaging, watching videos, using social media), depression, and anxiety were significantly associated with higher scores of PSU. After adjusting all the studied variables, the final model explained a 31.3% variance predicting PSU.ConclusionThe present study is one of the first approaches to assess the prevalence of PSU among the Bangladeshi students during the COVID-19 pandemic, whereas the addiction level was superfluous (and this may be due to more online engagement related to the pandemic). Thus, the study recommended strategies or policies related to the students’ risk-reducing and healthy use of smartphones.

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.

Prevalence and Predisposing Factors of Suicidal Ideation Among the University Students in Bangladesh: A Single-Site Survey

Recently, suicide among Bangladeshi university students has become a serious problem. However, to date, there have been no studies assessing suicidal behaviors among Bangladeshi students. Therefore, the present study investigated suicidal ideation (SI) and its risk factors among this population. A classroom-based convenience sampling method was utilized to survey 665 students of a university in Bangladesh (67.5% males; aged 21.16 years: SD ± 1.6). In addition to socio-demographic questions, the survey also included the Smartphone Application-Based Addiction Scale, Bergen Facebook Addiction Scale, and Depression Anxiety Stress Scale–21. Results showed that the prevalence of suicidal ideation was 2.3% in the past 24 h, 4.8% in the past 15 days, 6.9% in the past month, 14.7% in the past year, and 61.1% in the lifetime. The unadjusted regression model showed that being divorced (or separated) from a partner (OR = 4.486, 95% CI = 1.972–10.207, p < 0.0001), Facebook addiction (OR = 1.550, 95% CI = 1.006–2.388, p = 0.047), depression (OR = 1.657, 95% CI = 1.677–4.211, p < 0.0001), anxiety (OR = 2.649, 95% CI = 1.624–4.320, p < 0.0001), and stress (OR = 2.626, 95% CI = 1.673–4.122, p < 0.0001) were the risk factors of past-year SI. Compared with global prevalence rates, the present study reported higher levels of SI prevalence. Therefore, supportive suicide prevention programs are needed to tackle SI and alongside comorbid psychopathology.

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

Background/ObjectiveThere 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.MethodFourth 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.ResultsThe 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.ConclusionsThe 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.

Assessing Risk for Smartphone Addiction: Validation of an Arabic Version of the Smartphone Application-Based Addiction Scale

The Smartphone Application-Based Addiction Scale (SABAS) is a brief measure that can be used to screen for risk associated with smartphone addiction. While it has been validated in a number of languages, an Arabic version is yet to be tested. This study aimed to test the construct validity an Arabic language version of the SABAS using a confirmatory factor analysis (CFA) and maximum likelihood estimation. A sample of 453 Emirati (citizens of the United Arab Emirates) young adults (Mage = 20.32, SD = 1.53; 117 males [25.8%]) completed the SABAS measure, which was translated using recommended back-translation procedures, measures of depression, anxiety, and stress, and self-reported their daily duration of smartphone use, as well as demographic information. CFA results supported the unidimensional structure of the Arabic SABAS and the data met a number of indices indicative of acceptable model fit (λ range 0.45 to 0.66). The measure displayed satisfactory internal consistency (α = 0.71) and convergent validity. Correlations between the SABAS and depression, anxiety, stress, and smartphone use were statistically significant, but small in magnitude (r ranged 0.11 to 0.25). The availability of a validated Arabic version of the SABAS will facilitate the conduct of smartphone addiction research in the Arabic-speaking world. However, the present study’s results should be viewed as preliminary evidence of its psychometric properties. Further investigation with larger and more diverse samples of Arabic-speaking participants is required.

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

The aim of the present study was to test the psychometric properties of the Italian version of the Smartphone Application-Based Addiction Scale (SABAS; Csibi et al., International Journal of Mental Health and Addiction, 16, 393–403, 2018), a short and easy to use six-item tool for screening the risk of addiction to smartphone-based applications. A further goal was to explore the impact on smartphone addiction of several variables related to smartphone use habits, perceived quality of life, and sociability measures. The data were collected online from 205 Italian-speaking volunteers (128 males and 77 females aged 18 to 99 years). The psychometric instruments included in the study were the SABAS and the Nomophobia Questionnaire (NMP-Q). Psychometric testing showed that the six items included in the SABAS comprised a unidimensional factor with good reliability (Cronbach’s alpha = .890). Therefore, the SABAS appears to be a reliable instrument to assess the risk of addiction to smartphone apps. Moreover, longer daily time spent using the smartphone was found to be positively correlated with the total SABAS and NMP-Q scores, while perceived quality of life and self-reported sociability were found to be negatively correlated with such scores.

Examining the psychometric properties of the Smartphone Addiction Scale and its short version for use with emerging adults in the U.S

The Smartphone Addiction Scale (SAS) and Smartphone Addiction Scale – Short Version (SAS-SV) were originally developed and validated for use with South Korean adults and adolescents respectively. Despite being frequently used in U.S. adult populations, neither scale has been validated for this purpose. This study seeks to validate both the SAS and SAS-SV for use with U.S. emerging adults. College students ranging in age from 18 to 24 (Mage= 19.2, SD ​= 1.2, 67.3% female, N ​= ​150) completed the SAS, a modified Internet Addiction Test (IAT), the Smartphone Application-Based Addiction Scale (SABAS), the Smartphone Addiction Inventory (SPAI), and a questionnaire adapted from proposed diagnostic criteria for smartphone addiction. Results indicate high internal consistency and concurrent validity of the SAS (Cronbach’s alpha ​= ​0.93) and SAS-SV (Cronbach’s alpha ​= ​0.84). The six-factor structure of the SAS was not well-replicated and the reliability of the other potential factor structures that emerged appear questionable, suggesting that interpretation in U.S. samples may be better suited at the full scale rather than subscale level. The SAS-SV demonstrated near-equivalent predictive validity and comparable concurrent validity as compared to the SAS, suggesting that the SAS-SV offers a viable and convenient alternative to the SAS.

Measurement invariance across young adults from Hong Kong and Taiwan among three internet-related addiction scales: Bergen Social Media Addiction Scale (BSMAS), Smartphone Application-Based Addiction Scale (SABAS), and Internet Gaming Disorder Scale-Short Form (IGDS-SF9) (Study Part A)

Internet addiction has been found to be prevalent worldwide, including Asian countries, and related to several negative outcomes and other behavioral addictions. The Bergen Social Media Addiction Scale (BSMAS), Smartphone Application-Based Addiction Scale (SABAS), and nine-item Internet Gaming Disorder Scale-Short Form (IGDS-SF9) have been extensively used to assess internet-related addictions. However, the three aforementioned instruments have rarely been used in Asian countries. The aim of the present study was to investigate whether the BSMAS, SABAS, and IGDS-SF9 were appropriate for use in heterogeneous subsamples from Hong Kong and Taiwan. University students from Hong Kong (n = 306) and Taiwan (n = 336) were recruited via an online survey. Multigroup confirmatory factor analysis (MGCFA) was used to assess measurement invariance of the BSMAS, SABAS, and IGDS-SF9 across the two subcultures. The original unidimensional structures of BSMAS, SABAS and IGDS-SF9 were confirmed through confirmatory factorial analysis in both subcultures. The MGCFA results showed that the unidimensional structures of the BSMAS and IGDS-SF9 were invariant across the two Chinese cultural areas (Hong Kong and Taiwan). However, the measurement invariance of the SABAS was established after some model modifications. In conclusion, the present study found that the Chinese BSMAS, SABAS, and IGDS-SF9 were all adequate instruments to validly assess internet-related addictions among university students. The three brief instruments used for assessing addictions to social media, smartphone applications, and online gaming are valid and psychometrically robust across two Chinese subcultures and can be used by healthcare professionals in these regions.

Time invariance of three ultra-brief internet-related instruments: Smartphone Application-Based Addiction Scale (SABAS), Bergen Social Media Addiction Scale (BSMAS), and the nine-item Internet Gaming Disorder Scale- Short Form (IGDS-SF9) (Study Part B)

Given the many technological advances over the past two decades, a small minority of young people are at risk of problematic use or becoming addicted to these technologies (including activities on the internet and smartphones). Many brief psychometric scales have been developed to assess those at risk of problematic use or addiction including the six-item Smartphone Application-Based Addiction Scale [SABAS], the six-item Bergen Social Media Addiction Scale [BSMAS], and the nine-item Internet Gaming Disorder Scale-Short Form [IGDS-SF9]). However, to date, the reproducibility of these three scales has only been examined over a short period of time (e.g., two weeks), and it is unclear whether they are time invariant across a longer period (e.g., three months). Given the emergence of internet and smartphone addiction in Chinese population, the present study translated the three instruments into Chinese and recruited 640 university students (304 from Hong Kong [99 males] and 336 from Taiwan [167 males]) to complete the three scales twice (baseline and three months after baseline). Multigroup confirmatory factor analysis (MGCFA) was applied to examine the time invariance. The intraclass correlation coefficient (ICC) was used to assess the relative reliability, and the percentage of smallest real difference (SRD%) was utilized to explore the absolute reliability for the three scales. MGCFA showed that all three scales were time invariant across three months. ICC demonstrated that all the scales were satisfactory in reproducibility (0.82 to 0.94), and SRD% indicated that all the scales had acceptable measurement noise (23.8 to 29.4). In conclusion, the short, valid, reliable, and easy-to-use Chinese SABAS, BSMAS, and IGDS-SF9 show good properties across periods of three months.

Validity and reliability of the Turkish version of the Smart Phone Application Based Addiction Scale

The aim of the study was to determine the validity and reliability of the Turkish version of Smart Phone Application Based Addiction Scale (SABAS). The study was conducted among people who work in Ankara Provincial Health Directorate. Total 413 people were participated to the study, more than half of the participants were female (66.3%), the mean age was 40.87±7.96 years (range, 23-63) years. The mean score of SABAS was 15.22±6.94 (range 6-36). The scores obtained from SABAS decreased with increasing age (r=0.163; p=0.001) and did not change according to gender (Z=0.982; p=0.332). According to the Kaiser-Meyer-Olkin (KMO) criteria, the size of the correlation coefficients and the correlation coefficients were correlated with the factor analysis (KMO=0.867, p

Smartphone Application-Based Addiction Among Iranian Adolescents: A Psychometric Study

The Smartphone Application-Based Addiction Scale (SABAS) can be used in screening for the risk of smartphone addiction. This study aimed to validate a Persian version of the SABAS using confirmatory factor analysis (CFA), Rasch analysis, and latent class analysis (LCA). In a sample of 3807 Iranian adolescents, CFAs were used to confirm the factor structure of SABAS, Rasch models were used to examine the unidimensionality of SABAS, and LCAs were used to classify the adolescents in terms of application preferences and smartphone application-based addiction. The unidimensional structure of SABAS was supported by CFA and Rasch model. LCA classified the sample into three subgroups (i.e., low, medium, high) in terms of risk of smartphone addiction. This study showed the unidimensionality of the Persian SABAS with robust psychometric properties. It can be used by healthcare providers in screening for risk of addiction to smartphone applications and provide early intervention if necessary.