Nomophobia and compulsive smartphone use: a moderated mediation effect of impulsivity and self-esteem

Sexual Function and Problematic Use of Smartphones and Social Networking Sites

Problematic technology use needs to be tackled so that children and adolescents can reap positive benefits during the COVID-19 pandemic.

Personality and problematic smartphone use: A facet-level analysis using the Five Factor Model and HEXACO frameworks

<p>Against the background of the rapid spread of mobile technologies and the emergence of related forms of problematic behavior, there is a shortage of Russian-language questionnaires that allow you to study the problematic use of smartphones by adolescents and young people. The article presents the results of a study aimed at developing an abbreviated version of the questionnaire version of the questionnaire "Metacognitions about problematic smartphone use" (S. Casale, L. Caponi, G. Fioravanti), based on the idea that metacognitions play a decisive role in the formation of problematic behavior. The sample consisted of 781 respondents aged 14-25 years. The tested version of the questionnaire includes 10 items evaluated on a 5-point Likert scale, which were isolated from the original version of the questionnaire (24 items) using the focus group method (n = 35). Analysis of the questionnaire structure (n = 636) allowed combining the questionnaire items into two scales: "Positive beliefs about problematic smartphone use" and "Negative beliefs about problematic smartphone use". Satisfactory indicators of design validity were obtained (confirmatory factor analysis: χ2/df = 1.84, p<0.01, CFI = 0.97, RMSEA = 0.04), internal consistency of scales, (Kronbach coefficient: "Positive beliefs about problematic smartphone use" α = 0.83; "Negative beliefs about problematic smartphone use" α = 0.72), competitive validity (correlation analysis: r≥0.28 for both scales of the questionnaire and indicators of smartphone dependence, as well as problematic Internet use). Acceptable indicators of retest reliability were also obtained (correlation analysis: "Positive beliefs about problematic smartphone use" r = 0.64; "Negative beliefs about problematic smartphone use" r = 0.56). The possibilities of using the questionnaire to solve the problems of prevention, detection and overcoming of problematic smartphone use, as well as prospects for further research using the developed questionnaire are discussed.</p>

BackgroundThe Evaluation of Digital Addiction (EVADD) study investigates problematic smartphone use in the digital age, as global smartphone users reached 55.88 million in France in 2023. With increased screen time from digital devices, especially smartphones, the study highlights adult use issues and associated risks.ObjectiveThe aim of the study is to assess the prevalence of compulsive smartphone use among French adults and identify patterns of problematic behaviors, including their impact on daily activities, sleep, and safety.MethodsThe EVADD study used a cross-sectional, nonprobability sample design, conducted from May 3 to June 5, 2023. Participants were recruited through the French mutual insurance company PRO-BTP. Data were collected anonymously via a digital questionnaire, including the Smartphone Compulsive Use Test, capturing information on social network engagement, device ownership, and daily screen use.ResultsA total of 21,244 adults (average age 53, SD 15 years; 9844 female participants) participated. Among 21,244 participants, 8025 of 12,034 (66.7%) respondents exhibited compulsive smartphone use (P<.001). Additionally, 7,020 (36.7%) participants scored ≥8 on the Smartphone Compulsion Test, indicating addiction. Younger participants (18‐39 years) were significantly more likely to show signs of addiction (2504/4394, 57%; odds ratio 2.5, 95% CI 1.9‐3.2) compared to participants aged ≥60 years. Problematic behaviors included unsafe smartphone use while driving (5736/12,953, 44.3%), frequent smartphone use before bedtime (9136/21,244, 43%), and using smartphones in the bathroom (7659/21,244, 36.1%). Sleep disturbances and risky behaviors correlated strongly with higher compulsion scores (P<.01).ConclusionsThe EVADD study highlights the complex relationship between adults and smartphones, revealing the prevalence of compulsive behaviors and their impact on daily life, sleep, and safety. These findings emphasize the need for public awareness campaigns, preventive strategies, and therapeutic interventions to mitigate health risks associated with excessive smartphone use.

University students are consistently ranked among the highest users of smartphones. As such, recent research has focused on examining the antecedents and consequences of problematic smartphone use among university students. While this work has been instrumental to our understanding of the risk and protective factors of developing problematic smartphone use, it has been largely variable-centered and thus fails to recognize the diversity with which problematic smartphone use is experienced among university students. As such, this study employed a person-centered approach (i.e., latent class analysis) to classify individuals based on patterns of problematic smartphone use feature/symptom cooccurrence among a sample of 403 Canadian university students. The relationships between these subgroups (or classes) and potential covariates (i.e., self-regulation, attachment anxiety, and attachment avoidance) were then examined to gain a more complete understanding of university students’ experiences of problematic smartphone use. Three classes of problematic smartphone use were identified: (1) “connected” displaying the features/symptoms of problematic smartphone use associated with being constantly connected to smartphones; (2) “problematic” displaying all of the features/symptoms of problematic smartphone use; (3) “distracted” displaying the features/symptoms associated with being distracted by smartphones. Findings indicate that attachment anxiety and avoidance were significantly associated with membership in the most pathological (i.e., “problematic”) class, suggesting that this may be an especially important risk factor for developing problematic smartphone use among university students. Moreover, self-regulation was significantly related to membership in the least pathological class (i.e., “connected”) suggesting that this may function as an important protective factor in developing more concerning patterns of problematic smartphone use. Findings from this work provide empirical evidence of a heterogeneity in patterns of problematic smartphone use associated with distinct individual-level risk factors. This has important implications for conceptualizations of problematic smartphone use and the development of intervention and prevention efforts.

ObjectiveThis study investigates the mediating role of social anxiety in the relationship between physical activity and problematic smartphone use among college students, and examines the moderating role of gender within this model.MethodsFrom April to May 2023, a survey was conducted involving 2905 undergraduate students from various medical schools in Shandong, China. Participants completed the Physical Activity Rating Scale (PARS-3), Mobile Phone Addiction Tendency Scale for College Students (MPATS), and the Social Anxiety Scale (IAS). Descriptive statistics, correlation analysis, and hierarchical regression analysis and other methods were employed to explore the relationships between the variables. The mediating effect of social anxiety on physical activity and mobile phone addiction was assessed using the bootstrapping method, while the moderating role of gender on social anxiety and mobile phone addiction was evaluated using the PROCESS macro's model 14.ResultsThe findings revealed that the scores of problematic smartphone use among medical students was 44.00 (35.00, 50.00), physical activity score was 16.00 (8.00, 32.00), and social anxiety score was 45.00 (42.00, 52.00). Physical activity was significantly and negatively correlated with both problematic smartphone use and social anxiety (P < 0.001), and social anxiety was significantly and positively correlated with problematic smartphone use (P < 0.001). Social anxiety partially mediated the effect between physical activity and problematic smartphone use (β = −0.04, 95%CI = −0.05 to −0.02), with a mediation effect proportion of 57.14%. Sex played a moderating role between social anxiety and problematic smartphone use (β = −0.30, 95%CI = −0.39 to −0.21).ConclusionPhysical activity influences problematic smartphone use among medical students both directly and indirectly through social anxiety. Sex significantly moderates the influence of social anxiety on problematic smartphone use, highlighting the need for gender-specific interventions in this demographic.

Sexual function and problematic use of smartphones and online social networking sites

ABSTRACTBackground:Adolescents are likely to quickly adopt newer technologies and face detrimental effects of the same.Aim:This study assessed the prevalence and correlates of problematic smartphone and social media use among school-going adolescents.Methods:Cross-sectional study was conducted amongst class 8–10 students. Data were collected using an anonymous survey in English which included (a) sociodemographic information, (b) pattern of smartphone use and smartphone addiction scale-short version (SAS-SV), and (c) pattern of social media use and social media disorder (SMD) scale. Educative session on responsible smartphone use was followed by post-session data collection which included patient health questionnaire (PHQ-2), generalized anxiety questionnaire (GAD-2), hyperactivity subscale of strength and difficulty questionnaire (SDQ), and conscientiousness and emotional stability subscales of ten-item personality inventory questionnaire (TIPI) and post-session feedback.Results:Three hundred and twenty out of 325 responses were analyzed (180 male and 140 female). About 8% (n = 27) used smartphone for more than four hours. Prevalence of problematic smartphone use was 12.5% and problematic social media use was 11.9%. Problematic smartphone use was associated with duration of smartphone use per day and problematic social media use, which was in turn found to be associated with Facebook use and frequency of Instagram posts. About 80.6% (n = 256) participants agreed that such sessions should be conducted in schools.Conclusions:One in ten school going adolescents are likely to be having problematic smartphone and social media use. Awareness sessions in schools about responsible mobile phone use may be an acceptable strategy.

Objectives: The prevalence of smartphone use among children raises concerns about the potential for problematic smartphone use. According to previous findings, it was reported that psychological factors affect children’s problematic smartphone use. However, cognitive factors affecting children’s problematic smartphone use have not been investigated enough. To find out how to mitigate and prevent their problematic smartphone use, the present study explores whether children’s negative automatic thoughts affect their problematic smartphone use. It also seeks to investigate the moderation effect of weekend family rituals on the relationship between children’s negative automatic thoughts and problematic smartphone use.Methods: The study participants included 274 fifth and sixth graders attending elementary schools in Seoul and Incheon, South Korea. Statistical analysis for the present study was conducted using SPSS 22.0 and PROCESS macro version 3.2.Results: The study found that children’s negative automatic thoughts are positively related to problematic smartphone use. In addition, children’s negative automatic thoughts are adversely related to weekend rituals, and weekends ritual are also negatively associated with children’s problematic smartphone use. Children’s negative automatic thoughts have an effect on their problematic smartphone use. It also found that weekend family rituals moderated the association between children’s negative automatic thoughts and their problematic smartphone use. That is, children who automatically perceive themselves negatively tend to be dependent on smartphones.Conclusion: Based on the results, this study suggests that it is necessary not only to design intervention programs for preventing children’s problematic smartphone use but also to support work and life balance so that families can create and maintain their weekend family rituals.

The role of stress and motivation in problematic smartphone use among college students

Studies have demonstrated associations between both problematic smartphone and social networks use with everyday life adversities. However, examination of associations between problematic smartphone use (PSU) and problematic use of specific social networking platforms, especially on item-level data, has received relatively little attention. Therefore, the aim of the current study was to explore how items of problematic smartphone, Facebook, WhatsApp, and Instagram use are associated. 949 German-speaking adults participated in a web survey study. The participants were queried about their socio-demographics as well as levels of problematic smartphone, Facebook, WhatsApp, and Instagram use. In addition to bivariate correlation analysis, exploratory graph analysis (EGA), a type of network analysis, was conducted. The results showed that while problematic Facebook and Instagram use seem to be distinct phenomena, problematic smartphone and WhatsApp use were heavily intertwined. Furthermore, the only cross-platform symptom observed was the extent of reported pain in wrists and neck due to digital technology use. The EGA network models showed very good stability in bootstrap analyses. In general, the results of this study suggest that while Instagram and Facebook use may potentially constitute distinct problematic behaviors, problematic smartphone/WhatsApp use scales may be measuring highly similar or even the same construct.

Background and aimsStudies have demonstrated associations between both problematic smartphone and social networks use with everyday life adversities. However, examination of associations between problematic smartphone use (PSU) and problematic use of specific social networking platforms, especially on item-level data, has received relatively little attention. Therefore, the aim of the current study was to explore how items of problematic smartphone, Facebook, WhatsApp, and Instagram use are associated.Methods949 German-speaking adults participated in a web survey study. The participants were queried about their socio-demographics as well as levels of problematic smartphone, Facebook, WhatsApp, and Instagram use. In addition to bivariate correlation analysis, exploratory graph analysis (EGA), a type of network analysis, was conducted.ResultsThe results showed that while problematic Facebook and Instagram use seem to be distinct phenomena, problematic smartphone and WhatsApp use were heavily intertwined. Furthermore, the only cross-platform symptom observed was the extent of reported pain in wrists and neck due to digital technology use. The EGA network models showed very good stability in bootstrap analyses.Discussion and conclusionsIn general, the results of this study suggest that while Instagram and Facebook use may potentially constitute distinct problematic behaviors, problematic smartphone/WhatsApp use scales may be measuring highly similar or even the same construct.

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

BackgroundIncreased smartphone use by children and adolescents places them at higher risk of overdependence. The problematic smartphone use of preteens is rapidly increasing. The preteen period is one of considerable developmental change and the influence of problematic smartphone use should be identified by reflecting on this change and considering its social psychological factors.MethodsThis study employed a secondary analysis using data from the 10th (2017) to 11th (2018) wave of the Panel Study on Korean Children. STATA/BE 17 was used to analyze the panel logit model. Among the 1,286 participants aged 9–10 from the Panel Study on Korean Children, 342 with complete responses were selected as the participants of this study.ResultsThe risk group for problematic smartphone use showed an increase from 126 in 2017 to 149 in 2018. Factors influencing risk of preteens' problematic smartphone use were the child's externalizing problems (p = 0.015) and permissive parenting behavior (p = 0.003). Protective factors influencing preteens' problematic smartphone use were peer communication (p = 0.023), parental supervision (p = 0.020), and authoritative parenting behavior (p = 0.001).ConclusionsPreteens with externalizing problems are at a higher risk for problematic smartphone use and are therefore a group to be observed with caution. It is also required to guide them to form good relationships with friends. Finally, in the problematic smartphone use of preteens, parents are both a protective factor and a risk factor. Therefore, guidance is required so that children can behave properly.