Scales for measuring user engagement with social network sites: A systematic review of psychometric properties

Effectiveness of online social networking interventions on social isolation and quality of life of people with psychosis: A systematic review

BACKGROUND

Social isolation is frequent in people with psychosis, contributing to negative health outcomes. Interventions including online social networking (OSN) may overcome some psychosis-related barriers and facilitate social interactions. However, evidence is currently sparse and needs to be collated in a systematic review to better understand effectiveness.

METHOD

Following PRISMA guidelines, this review yielded 9835 results. Eleven publications, reporting data from five RCTs and six non-controlled studies, met the inclusion criteria. Two independent reviewers undertook data extraction and quality assessment, with results narratively synthesised.

RESULTS

This review looked broadly at interventions including either purpose-build platforms for peer-to-peer interactions or existing OSN tools. Yet, we only identified interventions utilising purpose-designed platforms. Early small-scale studies suggested OSN interventions reduced social isolation, but larger effectiveness studies did not confirm these effects. No improvements in quality-of-life outcomes were identified.

CONCLUSION

Higher quality and longer-term studies did not support effectiveness of current OSN interventions in reducing social isolation or improving quality of life of people with psychosis. These interventions used purpose-built platforms and encouraged OSN between selected individuals, which may explain these outcomes. Future research may explore promoting safe use of mainstream OSN platforms to expand the social networks of individuals with psychosis.

Measuring users' psychological self-withdrawal on mobile social media: the development of a context dependent instrument

Introduction

MSM users have many concerns when disclosing information, such as role conflicts and privacy risks, which can result in nondisclosure. We call these negative feelings associated with MSM use "psychological self-withdrawal" (PSW).

Methods

Using a mixed-methods design, this study develops and validates an instrument for measuring PSW in the WeChat context, based on focus-group interviews (seven participants), one-on-one interviews (eight participants), and a survey of 1200 WeChat users.

Results

The result shows that PSW measure is a four-item instrument designed to measure PSW in the WeChat context. The results of two exploratory factor analysis pilot tests (n = 91 and n = 81) and a final confirmatory factor analysis test (n = 1200) indicate that the PSW measure has good internal consistency (α = 0.839), factorial validity, and a single-factor structure.

Discussion

The study defines PSW as "users' series of negative feelings when using WeChat" and develops and validates an PSW measurement, using focus groups, interviews, and a survey. A four-item PSW with acceptable reliability and validity was finally developed.

Development and validation of the AI attitude scale (AIAS-4): a brief measure of general attitude toward artificial intelligence

The rapid advancement of artificial intelligence (AI) has generated an increasing demand for tools that can assess public attitudes toward AI. This study proposes the development and the validation of the AI Attitude Scale (AIAS), a concise self-report instrument designed to evaluate public perceptions of AI technology. The first version of the AIAS that the present manuscript proposes comprises five items, including one reverse-scored item, which aims to gauge individuals' beliefs about AI's influence on their lives, careers, and humanity overall. The scale is designed to capture attitudes toward AI, focusing on the perceived utility and potential impact of technology on society and humanity. The psychometric properties of the scale were investigated using diverse samples in two separate studies. An exploratory factor analysis was initially conducted on a preliminary 5-item version of the scale. Such exploratory validation study revealed the need to divide the scale into two factors. While the results demonstrated satisfactory internal consistency for the overall scale and its correlation with related psychometric measures, separate analyses for each factor showed robust internal consistency for Factor 1 but insufficient internal consistency for Factor 2. As a result, a second version of the scale is developed and validated, omitting the item that displayed weak correlation with the remaining items in the questionnaire. The refined final 1-factor, 4-item AIAS demonstrated superior overall internal consistency compared to the initial 5-item scale and the proposed factors. Further confirmatory factor analyses, performed on a different sample of participants, confirmed that the 1-factor model (4-items) of the AIAS exhibited an adequate fit to the data, providing additional evidence for the scale's structural validity and generalizability across diverse populations. In conclusion, the analyses reported in this article suggest that the developed and validated 4-items AIAS can be a valuable instrument for researchers and professionals working on AI development who seek to understand and study users' general attitudes toward AI.

Psychometric Properties of Screening Instruments for Social Network Use Disorder in Children and Adolescents: A Systematic Review

IMPORTANCE

Children and adolescents spend considerable time on the internet, which makes them a highly vulnerable group for the development of problematic usage patterns. A variety of screening methods have already been developed and validated for social network use disorder (SNUD); however, a systematic review of SNUD in younger age groups has not been performed.

OBJECTIVE

To review published reports on screening tools assessing SNUD in children and adolescents with a maximum mean age of 18.9 years.

EVIDENCE REVIEW

To identify instruments for the assessment of SNUD, a systematic literature search was conducted in the databases PsycINFO, PubMed, Web of Science, PsycArticles, and Scopus. The final search took place on May 2, 2022. Psychometric properties of available tools were examined and evaluated to derive recommendations for suitable instruments for individuals up to 18 years of age.

FINDINGS

A total of 5746 publications were identified, of which 2155 were excluded as duplicates. Of the remaining 3591 nonredundant publications, 3411 studies were assessed as not relevant after title and abstract screening. A full-text analysis of 180 remaining studies classified as potentially eligible resulted in a final inclusion of 29 studies revealing validation evidence for a total of 19 tools. The study quality was mostly moderate. With regard to validation frequency, 3 tools exhibited the largest evidence base: Social Media Disorder Scale (SMDS), the short version of the Bergen Facebook Addiction Scale, and Bergen Social Media Addiction Scale-Short Form (BSMAS-SF). Among these, 1 study tested a parental version (SMDS-P) for its psychometric properties. Taking all criteria into account, the strongest recommendation was made for the SMDS and BSMAS-SF.

CONCLUSIONS AND RELEVANCE

Results suggest that the SMDS-SF and BSMAS-SF were appropriate screening measures for SNUD. Advantages of the SMDS are the availability of a short version and the possibility of an external parental rating.

Information confusion as a driver of consumer switching intention on social commerce platforms: a multi-method quantitative approach

Purpose

On the basis of the approach-avoidance motivation theory, this study aims to examine the role of information confusion in influencing consumer switching intention among social commerce platforms, with the mediating effect of emotional exhaustion and the moderating role of social overload.

Design/methodology/approach

This study applied a multi-method quantitative approach including a survey and two experiments. Data were obtained from consumers on popular social commerce platforms in China. The survey's sample size was 327 respondents, whereas a total of 1,621 consumers participated in the two experiments.

Findings

Findings from the survey reveal that information confusion affects switching intention directly and indirectly via emotional exhaustion. Moreover, social overload moderates the emotional exhaustion–switching intention relationship and the indirect impact of information confusion on switching intention. Results of the two experiments further confirm the relationships found in the survey.

Originality/value

This study develops and validates a mediation and moderation model which expectedly serves as a framework to better explain consumer switching intention on social commerce platforms. The study also offers fresh insights into consumer switching intention in the unique context of social commerce in an emerging market (i.e. China), which has been largely ignored in the prior literature.

Staying connected in old age: associations between bonding social capital, loneliness and well-being and the value of digital media

OBJECTIVES

We examined associations between age, bonding social capital (BSC), loneliness and psychological, social and emotional well-being in old age. As in theory digital media can support both preservation of and access to someone's social capital, we also explored associations between the use of WhatsApp, social network sites (SNS) and Internet applications and respectively BSC and loneliness.

METHOD

In this cross-sectional study a sample of 349 older adults (range = 70y-93y; Mean(SD)=74.8y(4.9y); 59.6% male) filled out a questionnaire including the bonding social capital subscale of the personal social capital scale for elderly (PSCSE), validated scales measuring social, emotional, and psychological well-being and loneliness, the SNS intensity scale and items measuring frequencies of Whatsapp use and use of various Internet functions. Also relevant demographic and other covariates were included.

RESULTS

Regression analyses including relevant covariates confirmed our hypotheses, finding negative associations between BSC and both age and loneliness, and positive associations between BSC and psychological, social and emotional well-being. WhatsApp and Internet use were both found positively associated with BSC, whilst a negative association between WhatsApp use and loneliness was found. SNS use was not associated with BSC nor with loneliness.

CONCLUSION

Our findings indicate BSC as an important factor in positive aging and illustrate a widening gap between the need for socio-emotional resources versus their availability. With regard to digital media, we conclude that its value in old age should be sought in providing access to one's bonding social capital rather than adding to it by expanding the number of social relations.

Heterogeneity of Prevalence of Social Media Addiction Across Multiple Classification Schemes: Latent Profile Analysis

Background

As social media is a major channel of interpersonal communication in the digital age, social media addiction has emerged as a novel mental health issue that has raised considerable concerns among researchers, health professionals, policy makers, mass media, and the general public.

Objective

The aim of this study is to examine the prevalence of social media addiction derived from 4 major classification schemes (strict monothetic, strict polythetic, monothetic, and polythetic), with latent profiles embedded in the empirical data adopted as the benchmark for comparison. The extent of matching between the classification of each scheme and the actual data pattern was evaluated using sensitivity and specificity analyses. The associations between social media addiction and 2 comorbid mental health conditions—depression and anxiety—were investigated.

Methods

A cross-sectional web-based survey was conducted, and the replicability of findings was assessed in 2 independent samples comprising 573 adults from the United Kingdom (261/573, 45.6% men; mean age 43.62 years, SD 12.24 years) and 474 adults from the United States (224/474, 47.4% men; mean age 44.67 years, SD 12.99 years). The demographic characteristics of both samples were similar to those of their respective populations.

Results

The prevalence estimates of social media addiction varied across the classification schemes, ranging from 1% to 15% for the UK sample and 0% to 11% for the US sample. The latent profile analysis identified 3 latent groups for both samples: low-risk, at-risk, and high-risk. The sensitivity, specificity, and negative predictive values were high (83%-100%) for all classification schemes, except for the relatively lower sensitivity (73%-74%) for the polythetic scheme. However, the polythetic scheme had high positive predictive values (88%-94%), whereas such values were low (2%-43%) for the other 3 classification schemes. The group membership yielded by the polythetic scheme was largely consistent (95%-96%) with that of the benchmark.

Conclusions

Among the classification schemes, the polythetic scheme is more well-balanced across all 4 indices.

How does regulatory framework impact sectoral performance? A systematic literature review

Purpose

The regulatory framework may be construed as the existence of supporting infrastructure that assists in control, direction/implementation of a proposed course of law, rule or action. The regulatory order is now more formalized, expert-driven, transparent, independent and pervasive across countries and sectors. As a result, regulatory reforms enable markets to function efficiently by providing a supportive environment for increased investment, private sector growth and market-led economic growth. This study aims to review previous literature for understanding the impact of sectoral regulatory framework on sectoral performance.

Design/methodology/approach

This paper has adopted a systematic literature review to understand dynamics between the sectoral regulatory framework and sectoral performance. While seven multidisciplinary databases were used to identify 51 research articles, the bibliometric research profiling was executed to broaden academic research.

Findings

The results are organized into three broad categories: research context, research area and research methods. The identified articles exhibited association with 12 distinct sectors/industries, with maximum articles belonging to telecom, energy and finance industries. The study has focused on evolution of regulatory studies, impact of regulatory framework on sectoral performance and commonality in regulatory studies. Among the 15 distinct research contexts identified in this systematic literature review (SLR), the highest mapping was registered (from 23 articles) by the research context “impact of regulatory framework on the sector–institutions, infrastructure and performance indicators.”

Practical implications

Public administration researchers are increasingly using mixed methods research approaches to add diverse and novel perspectives on wicked problems. The qualitative approach (grounded theory, action research, phenomenology and participant observations) is appropriate for understanding the native viewpoints of regulatory practitioners and reducing the gap between rigor and relevance.

Originality/value

The study addresses lack of systematic review of articles covering the impact of regulatory framework on sectoral performance encompassing all sectors by, inter alia, collating important bibliometric profiles of the identified articles.

Antecedents and outcomes of enterprise social network usage within UK higher education

Purpose

The purpose of this paper is to investigate factors influencing knowledge sharing on enterprise social network (ESN) use behaviour among academic staff in universities, using the unified theory of acceptance and use of technology (UTAUT) as the underlying research framework

Design/methodology/approach

A conceptual framework was created by extending the UTAUT by incorporating three additional factors, namely, feature value (FV), relationship expectancy (RE) and professional benefits. A quantitative approach based on the survey was used to collect data from 254 academic staff. Data were analysed using structural equation modelling.

Findings

The result indicated significant differences around factors influencing both consumptive and contributive usage patterns within ESNs. These factors suggest more contributive than consumptive use.

Research limitations/implications

Future research should consider a longitudinal study focusing on the change in ESN use behaviour among academic staff and the fundamental aspects influencing this change.

Originality/value

This study extends the UTAUT model by incorporating three additional factors: FV, RE and professional benefits, to study ESN use behaviour in a higher education context. This study has significantly modified UTAUT to include the dynamic nature of ESN usage.

Measurement Invariance of Social Media Use in Younger and Older Adults and Links to Socioemotional Health

BACKGROUND AND OBJECTIVES

Social media use has been linked to socioemotional health; however, less is known regarding whether these associations are moderated by age. Additionally, as the use of social media in older adult populations is rapidly increasing, there is a greater need for the investigation of psychometric properties of social media usage scales before determining age differences in the impact of social media on socioemotional health outcomes.

RESEARCH DESIGN AND METHODS

Using an online adult life-span sample (n = 592), the current cross-sectional study tested the measurement invariance of the general social media usage subscale of the Media and Technology Usage and Attitudes Scale across younger (aged 19-54) versus older (aged 55-81) adults and whether age moderated associations between social media use and socioemotional health (depressive symptoms, self-esteem, and envy).

RESULTS

Confirmatory factor analyses revealed that posting-related and checking-related items were noninvariant across age groups. In multigroup structural equation models accounting for differential item functioning, higher social media use was associated with more depressive symptoms in younger adults, but not in older adults. While higher social media use was associated with higher envy in both age groups, this association was stronger in younger adults.

DISCUSSION AND IMPLICATIONS

Findings suggest younger adults may be more susceptible to the detrimental effects of social media use on socioemotional health. Future directions regarding the measurement of social media use and the salience of social media use across the life span are discussed.

Social Capital-Accrual, Escape-From-Self, and Time-Displacement Effects of Internet Use During the COVID-19 Stay-at-Home Period: Prospective, Quantitative Survey Study

BACKGROUND

COVID-19 has spread like wildfire across the globe, prompting many governments to impose unprecedented stay-at-home orders to limit its transmission. During an extended stay-at-home period, individuals may engage in more online leisure activities. Internet use is a double-edged sword that may have both desirable and undesirable effects on psychological well-being, and this study sought to disentangle adaptive from maladaptive internet use amidst this unusual health crisis.

OBJECTIVE

The objectives of this study were to assess the prevalence of probable depression during the COVID-19 stay-at-home period and to test three hypothesized risk reduction or risk elevation mechanisms, namely social capital-accrual, escape-from-self, and time-displacement effects.

METHODS

This study took place from March to May 2020 at the early stage of the pandemic. The study adopted a prospective design, with an online survey administered to 573 UK and 474 US adult residents at two assessment points 2 months apart.

RESULTS

The prevalence of moderate to severe depression was 36% (bootstrap bias-corrected and accelerated [BCa] 95% CI 33%-39%) at Time 1 (ie, initial time point) and 27% (bootstrap BCa 95% CI 25%-30%) at Time 2 (ie, follow-up time point). The results supported the social capital-accrual hypothesis by showing that the approach coping style was inversely associated with Time 2 depression through its positive associations with both social networking and perceived family support. The results also supported the escape-from-self hypothesis by revealing that the avoidant coping style was positively associated with Time 2 depression through its positive associations with both gaming and cyberbullying victimization, but the serial mediation model was no longer significant after Time 1 depression and some demographic risk factors had been controlled for. Finally, the results supported the time-displacement hypothesis by showing that gaming was positively associated with Time 2 depression through its inverse associations with social networking and perceived family support.

CONCLUSIONS

During the extended stay-at-home period in the early stages of the COVID-19 pandemic, the prevalence of probable depression during the 2-month study period was high among the UK and US residents. Individuals with distinct coping styles may engage in different types of online leisure activities and perceive varying levels of social support, which are associated with risks of probable depression.

Patterns of social media use and associations with psychosocial outcomes among breast and gynecologic cancer survivors

PURPOSE

We sought to characterize the use of social media (SM) among breast and gynecologic cancer survivors, as well as associations between patterns of SM use and psychosocial outcomes.

METHODS

Two hundred seventy-three breast and gynecologic cancer survivors recruited at the Stanford Women's Cancer Center completed the study. Participants completed questionnaires to measure quality of life (FACT-G), functional social support (Duke-UNC FSSQ), distress (PHQ-4), decision regret (DRS), and SM use.

RESULTS

In total, 75.8% of the sample reported using SM. There was no difference in quality of life (QOL), functional social support (FSS), distress, or decision regret between SM users and non-users. SM users indicated using SM for social support (34.3%) and loneliness (24.6%) more than for information-seeking (15.9%), coping (18.8%), or self-disclosure (14%). SM use for coping was associated with lower QOL (p < .001), lower FSS (p < .001), and higher decision regret (p = .029). Use for social support was associated with lower FSS (p = .029). Use for information seeking was associated with lower QOL (p = .012). Use of SM when lonely was associated with lower QOL (p < .001), higher distress (p = .007), lower FSS (p < .001), and higher decision regret (p = .020).

CONCLUSIONS

Associations between SM use and psychosocial outcomes are nuanced and dependent on motivation for use. Further research is needed to better characterize SM use and associations with psychosocial outcomes among cancer survivors.

IMPLICATIONS FOR CANCER SURVIVORS

SM is an important potential avenue for understanding and addressing the psychosocial effects associated with cancer survivorship.

Review: Social networking sites and associations with depressive and anxiety symptoms in children and adolescents - a systematic review

BACKGROUND

Given social networking sites (SNSs) have become a pervasive part of culture; it is critical to understand the ways in which they may be advantageous or detrimental to the mental health of young people. This systematic narrative review examined the relationships between SNS and depressive and anxiety symptoms in the child and adolescent population (5-18 years).

METHODS

Four databases were searched, and all articles between January 2005 and March 2019 were identified.

RESULTS

Increased time spent or frequency of SNS use, and problematic and addictive behaviour on SNS were significantly associated with higher levels of depressive symptoms. Two cross-sectional studies found that increased time spent or frequency of SNS use and higher levels of investment on SNS were significantly associated with higher levels of anxiety symptoms. However, other potential confounding factors could explain the relationship between SNS and depressive and anxiety symptoms, including perceived social support, social comparison and fear of missing out (FoMO).

CONCLUSIONS

While there is evidence that there is a relationship between SNS and anxiety and depressive symptoms, the effect size tends to be small and informed by studies of poor quality. Therefore, results should be interpreted cautiously. Methodological issues in conceptualising SNS complicated the findings. Future studies should explore the various conditions by which SNS may either interfere or enhance the development of emotional regulation in young people. These findings help to inform clinicians and educators in targeting vulnerable young people who are at risk of developing mental health problems.

A PLS-Neural Network Analysis of Motivational Orientations Leading to Facebook Engagement and the Moderating Roles of Flow and Age

Despite engagement being a criterion for the success of initiatives on Facebook, there is a lack of conclusive evidence about its connections with the psychological and motivational orientations that lead one to use Facebook. Built upon the uses and gratifications theory, we develop an integrative and context-specific model that links engagement with enjoyment, self-presentation, and community belonging-identified as motivational orientations underlying Facebookers' behaviors. We also draw on current flow accounts and socioemotional selectivity theory to examine the potential moderating roles of both flow experiences and age differences. We validate the survey instrument and test the model on a sample of active Facebook users. Model testing and sensitive analysis is performed with a two-stage method that combines partial least squares (PLS) and artificial neural network analysis. The results provide strong support for the validity of the hypothesized causal, mediating and moderating relationships embodied in the model. The research also provides insights into practitioners seeking to enhance Facebookers' engagements and promote continued use of Facebook.

Information confusion and intention to stop using social networking site: a moderated mediation study of psychological distress and perceived novelty

Purpose

People are living in a very rich and diversified information world. However, they are facing an explosion of information on social networking site (SNS) bombarding them every day. People get confused when they expose to similar, overloaded, ambiguous and misleading information. Unfortunately, the effect of information confusion on users' psychological outcome and behavioral intention has been absent in prior literature. Thus, this study investigates the relationship between information confusion and users' intention to stop using SNS with a moderated mediation effect of psychological distress and perceived novelty.

Design/methodology/approach

This study uses questionnaire survey to collect a sample data of 380 Facebook users in Vietnam. Structural equation modeling is used to test hypotheses in this study.

Findings

Empirical results show that information confusion has a positive influence on stop using intention. Furthermore, psychological distress is found to have a mediating effect in the link between information confusion and stop using intention. In addition, perceived novelty moderates the relationship between psychological distress and stop using intention. Perceived novelty also moderates the indirect effect of information confusion on stop using intention through psychological distress.

Originality/value

The influence of information confusion on users' psychological outcomes and behavioral intention has not been determined in prior literature. This study is one of the first studies that provide empirical evidence to clarify the relationship between information confusion and users' intention to stop using SNS. Furthermore, this study helps to clarify the mediating and moderating mechanism of psychological distress and perceived novelty in this relationship. By investigating the issue of information confusion and its impact on users in SNS environment, this study provides implications for researchers and practitioners regarding management and development of SNS.

Unique associations of social media use and online appearance preoccupation with depression, anxiety, and appearance rejection sensitivity

Social media (SM) can create a climate of social comparison and preoccupation with appearance, which can pose risks for emotional problems, such as depression and social anxiety. In this study, 763 adolescents and young adults reported time spent and intensity of social media use and preoccupation with both general and appearance-related (AR) social media activities and content. Associations were investigated with markers of depression and social anxiety symptoms and appearance sensitivities - appearance anxiety and appearance rejection sensitivity (appearance-RS). Social media use was positively associated with symptoms of depression, social anxiety, appearance anxiety, and appearance-RS. General and AR preoccupation had unique and positive associations with depression and social anxiety symptoms and with appearance sensitivities. AR preoccupation was also found to strengthen the relationship between time spent on social media and appearance-RS. Although there were gender differences on all measures, with young women scoring higher on all measures, there was no evidence that gender moderated the effects of AR social media preoccupation. Findings support emerging evidence that social media engagement and behavior, particularly activities involving appearance comparisons and judgements, may be more of a risk to depression and social anxiety symptoms and appearance sensitivities than simply the frequency of social media use.

The Role of Recreational Online Activities in School-Based Screen Time Sedentary Behaviour Interventions for Adolescents: A Systematic and Critical Literature Review

Sedentary behaviours are highly associated with obesity and other important health outcomes in adolescence. This paper reviews screen time and its role within school-based behavioural interventions targeting adolescents between the years 2007 and 2019. A systematic literature review following PRISMA guidelines was conducted across five major databases to identify interventions targeting screen time—in addition to TV/DVD viewing. The review identified a total of 30 papers analysing 15 studies across 16 countries aiming at addressing reduction of recreational screen time (internet use and gaming) in addition to television/DVD viewing. All of the interventions focused exclusively on behaviour change, targeting in the majority both reduction of sedentary behaviours along with strategies to increase physical activity levels. A mix of intervention effects were found in the reviewed studies. Findings suggest aiming only for reduction in time spent on screen-based behaviour within interventions could be a limited strategy in ameliorating excessive screen use, if not targeted, in parallel, with strategies to address other developmental, contextual and motivational factors that are key components in driving the occurrence and maintenance of adolescent online behaviours. Additionally, it raises the need for a differential treatment and assessment of each online activity within the interventions due to the heterogeneity of the construct of screen time. Recommendations for enhancing the effectiveness of school-based sedentary behaviour interventions and implications for public policy are discussed.

Psychometric Evaluation and Comparison of Two Gaming Disorder Measures Derived From the DSM-5 and ICD-11 Frameworks

Gaming disorder was listed as a condition for further study in the 5th edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) in 2013, and measures of the disorder have mushroomed in the years since. The Gaming Disorder Test (GDT) was developed after gaming disorder was officially included in the 11th Revision of the International Classification of Diseases (ICD-11) in 2018. However, it remains unknown whether the GDT, which is based on the ICD-11 framework, is psychometrically similar to or different from the popular nine-item Internet Gaming Disorder Scale-Short Form (IGDS9-SF) based on the DSM-5 framework. To address this important but unexplored issue, the present study evaluated and compared the psychometric properties of the GDT and IGDS9-SF in a sample of 544 adult gamers (56.2% men; mean age = 28.8, SD = 8.55). The results revealed both measures to have good reliability, structural validity, and criterion validity, with the exception of one IGDS9-SF item with a low factor loading. Moreover, the IGDS9-SF exhibited scalar measurement invariance for gender and age but only partial metric invariance for employment status, whereas the GDT exhibited scalar measurement invariance for all three demographic characteristics. Finally, the GDT displayed incremental validity over the IGDS9-SF in explaining gaming time, but not social anxiety and depressive symptoms. This study thus contributes to the literature by comparing measures derived from distinct gaming disorder diagnostic frameworks empirically. Recommendations for the selection of gaming disorder measures by researchers and practitioners are discussed.

The relationship between family social capital, social media use and life satisfaction in adolescents

Background: Nowadays, two social phenomena are identified as factors that significantly influence life satisfaction among adolescents: family social capital and social media use. This study aimed to investigate the direct and indirect relationships between family social capital and life satisfaction, and the possible mediating role of social media use between the variables among Iranian adolescents. Methods: In 2018, this cross-sectional study was carried out on 835 adolescents aged from 12to 19, in six high schools of Isfahan, Iran. Data were collected using a validated four-section questionnaire including demographic characteristics (3 items), life satisfaction (5 items), family social capital (31 items) and social media use (4 items) scales. IBM SPSS version 21 statistical software and AMOS version 24 were used to analyze the data. Structural equation modeling was used to assess the fit of model. The significance level of 0.05 was considered for all data analyses. Results: The findings indicated that family social capital and social media use explained 50%of the variance in life satisfaction. Social media use was found with a partial mediating role in the association between family social capital and life satisfaction. Family social capital was the strongest predictor of life satisfaction (β =0.681, P<0.001). The relationship between social media use and life satisfaction was also statistically significant (β =- 0.12, P<0.001). Conclusion: Social media use and family social capital should be considered while investigating the determinants of life satisfaction among adolescents.

Maximizing New Technologies to Treat Depression

In an era of rapid technological evolution, mental healthcare providers are tapping into technology that offers feasible and effective alternatives to reach patients who suffer from depression. This paper provides a brief history and description of current technologies, frequently used taxonomies, and specific applications for the assessment and treatment of depression. These include online healthcare communities and social media, automated screening, wearable technology, and virtual reality therapy. A review of a secondary analysis that incorporated technology used with patients experiencing depressive symptoms is provided and future trends in mHealth or cellular-based technologies to treat depression are explored.

The Motivation for Facebook Use – Is it a Matter of Bonding or Control Over Others?

Abstract. In the present study, we investigated individual differences in the motivation for Facebook use. In total N = 736 participants from Europe and Asia took part in the study. They filled in the Facebook questionnaire (FQ), including the two factors Attitude toward Facebook and Online Sociability, and the Unified Motive Scale (UMS-3), measuring the motives Achievement, Affiliation, Intimacy, Power, and Fear. The results showed that the Attitude toward Facebook was more positive in the subsample from Asia, but no differences could be found between the Asian and European sample with respect to the frequency of use of different activities on Facebook. The motives Fear, Power, Affiliation, and Intimacy significantly predicted the FQ factor Attitudes. Furthermore, the Attitude toward Facebook mediated the associations between the motives Power/Affiliation and Online Sociability. However, these results were only found for the European sample. The associations found suggest the important role of different motives such as Power/Affiliation for the study of Facebook use. The present work shows the possibility of motivational factors for Facebook use to differ depending on the culture. The study adds to the literature by investigating a classic motivation theory in the context of Facebook use.

Measuring Engagement in eHealth and mHealth Behavior Change Interventions: Viewpoint of Methodologies

Engagement in electronic health (eHealth) and mobile health (mHealth) behavior change interventions is thought to be important for intervention effectiveness, though what constitutes engagement and how it enhances efficacy has been somewhat unclear in the literature. Recently published detailed definitions and conceptual models of engagement have helped to build consensus around a definition of engagement and improve our understanding of how engagement may influence effectiveness. This work has helped to establish a clearer research agenda. However, to test the hypotheses generated by the conceptual modules, we need to know how to measure engagement in a valid and reliable way. The aim of this viewpoint is to provide an overview of engagement measurement options that can be employed in eHealth and mHealth behavior change intervention evaluations, discuss methodological considerations, and provide direction for future research. To identify measures, we used snowball sampling, starting from systematic reviews of engagement research as well as those utilized in studies known to the authors. A wide range of methods to measure engagement were identified, including qualitative measures, self-report questionnaires, ecological momentary assessments, system usage data, sensor data, social media data, and psychophysiological measures. Each measurement method is appraised and examples are provided to illustrate possible use in eHealth and mHealth behavior change research. Recommendations for future research are provided, based on the limitations of current methods and the heavy reliance on system usage data as the sole assessment of engagement. The validation and adoption of a wider range of engagement measurements and their thoughtful application to the study of engagement are encouraged.

Disentangling the role of users' preferences and impulsivity traits in problematic Facebook use

The use of social network sites (SNSs) has grown dramatically. Numerous studies have shown that SNS users may suffer from excessive use, associated with addictive-like symptoms. With a focus on the popular SNS Facebook (FB), our aims in the current study were twofold: First, to explore the heterogeneity of FB usage and determine which kind of FB activity predicts problematic usage; second, to test whether specific impulsivity facets predict problematic use of FB. To this end, a sample of FB users (N = 676) completed an online survey assessing usage preferences (e.g., types of activities performed), symptoms of problematic FB use and impulsivity traits. Results indicated that specific usage preferences (updating one’s status, gaming via FB, and using notifications) and impulsive traits (positive and negative urgency, lack of perseverance) are associated to problematic FB use. This study underscores that labels such as FB “addiction” are misleading and that focusing on the actual activities performed on SNSs is crucial when considering dysfunctional usage. Furthermore, this study clarified the role of impulsivity in problematic FB use by building on a theoretically driven model of impulsivity that assumes its multidimensional nature. The current findings have identifiable theoretical and public health implications.