Social media use in lectures mediates the relationship between procrastination and problematic smartphone use

A Longitudinal Investigation on the Reciprocal Relationship of Problematic Smartphone Use with Bedtime Procrastination, Sleep Quality, and Mental Health Among University Students

Background

Problematic smartphone use (PSU) is linked to various mental health issues, but the relationship between PSU, bedtime procrastination, and mental health symptoms is unclear. Sleep factors related to PSU and its mental health effects have been understudied. This study explores the longitudinal associations between PSU, bedtime procrastination, sleep quality, and mental health in university students.

Methods

In this study, a total of 683 university students participated by completing questionnaires on Smart Phone Addiction (SAS) scale, Bedtime Procrastination Scale (BPS), Pittsburgh Sleep Quality Index (PSQI), and Depression, Anxiety Stress Scales 21 (DASS-21) across two different time points with six-months interval between them. The participants were selected using a cluster sampling technique from Quaid-e-Azam University, Islamabad, Pakistan. A cross-lagged model was utilized to assess the longitudinal association between these variables.

Results

Statistically significant reciprocal associations were found between PSU, bedtime procrastination, and mental health symptoms. PSU at Time 1 significantly predicted PSU at Time 2, bedtime procrastination at Time 2, sleep quality at Time 2, and mental health symptoms at Time 2. Bedtime procrastination at Time 1 predicted PSU at Time 2, sleep quality at Time 2, and mental health symptoms at Time 2. Sleep quality at Time 1 predicted bedtime procrastination at Time 2 and mental health symptoms at Time 2. Mental health symptoms at Time 1 predicted PSU at Time 2 and sleep quality at Time 2.

Conclusion

The research findings have significantly advanced understanding of the longitudinal connections between PSU, bedtime procrastination, sleep quality, and mental health indicators. This enhanced comprehension is instrumental for psychological practitioners in devising targeted interventions to mitigate such issues among the university student demographic.

Smartphone Distraction and Academic Anxiety: The Mediating Role of Academic Procrastination and the Moderating Role of Time Management Disposition

The present study investigated the relationship between smartphone distraction, academic procrastination, academic anxiety, and time management disposition. A total of 474 college students were recruited to complete a survey comprising measures of smartphone distraction, academic procrastination, academic anxiety, and time management disposition. The hypothesised moderated mediation model was tested using Model 4 and Model 15 of the PROCESS macro for SPSS. Results showed that smartphone distraction was positively and significantly correlated with academic anxiety (r = 0.40, p < 0.001) and academic procrastination (r = 0.42, p < 0.001). Academic procrastination mediated the relationship between smartphone distraction and academic anxiety. Time management disposition moderated the paths from academic procrastination and smartphone distraction to academic anxiety. The present study suggests that smartphone distraction could predict increased levels of academic procrastination, which could then lead to higher academic anxiety. However, the predicting effects in this mediation model could fluctuate across individuals with different time management dispositions. Further studies are needed to explore the mechanism of smartphone distraction using different methods.

The Association between Problematic Instagram Use, Psychological Distress, and Well-Being: A Systematic Review and Meta-Analysis

Recent studies have indicated the potential detrimental psychological effects of Instagram use (IU) and problematic Instagram use (PIU). PIU and IU have been associated with depression, anxiety, and negative general well-being. This study aimed to investigate that correlation through a systematic review and meta-analysis. Seven databases, including PubMed/MEDLINE, were explored in February of 2023. Studies that assessed the association between IU and/or PIU with depression, anxiety, other psychological distresses, and/or general well-being were deemed eligible. The Hunter-Schmidt random effects model and multilevel meta-analysis were applied to assess the outcomes of interest. A total of 1,927 hits were identified with 37 studies included in the quantitative analysis after removal of duplicates and screening of abstracts and full texts, with the total number of participants at 14,305. The obtained correlations between PIU and depression, anxiety, and well-being with 95% confidence interval were found to be r = 0.35, [0.25, 0.44], r = 0.31, [0.22, 0.40], r = -0.17, [-0.24, -0.10], respectively. Similarly, for IU and depression r = 0.11, [0.06, 0.16], p < 0.05 for all of the aforementioned results. The association between IU and anxiety was found to be r = 0.12, [0.04, 0.21], p < 0.05. The present meta-analysis found significant conceptual heterogeneity across the studies included due to different study designs and population heterogeneity. The results show a positive association of PIU and IU with depression, anxiety, and other psychological distress(es). There is a need for robust designed longitudinal research to explore this association.

Predictors of Procrastination in a Moderated Mediation Analysis: The Roles of Problematic Smartphone Use, Psychological Flexibility, and Gender

Research has revealed that problematic smartphone use is a cause of procrastination. This study investigated the predictive role of problematic smartphone use on procrastination with consideration of the mediating effect of psychological flexibility. The moderating role of gender in the frequency of checking smartphones was also tested in this mediational model. Of total, 471 undergraduate students (369 female, 102 male) with a mean age of 20.65 participated in the study. The study was conducted face to face in classroom settings, and the results of the analysis revealed that psychological flexibility indeed affected the relationship between problematic smart phone use and procrastination. In addition, moderated mediation analysis suggested that female university students were significantly impacted. Finally, it was observed that psychological flexibility played a significant role amongst the female university students surveyed in the relationship between problematic smart phone use and procrastination.

Procrastination Mediates the Relationship between Problematic TikTok Use and Depression among Young Adults

Background: Although the prevalence of depression has increased significantly in recent years, especially in the young adult population, little is known about its causes and risk factors. The study aims to examine the mediating role of TikTok use in the relationships between procrastination and depression in young adults. Methods: A sample of 448 adults, ranging in age from 18 to 35 years (M = 24.45, SD = 3.76), including 214 men (48%), participated in the study. The cross-sectional survey consists of a modified Bergen Facebook Addiction Scale (BFAS) to assess problematic TikTok use (PTTU), the Pure Procrastination Scale (PPS) for procrastination measurement, and the nine-item Patient Health Questionnaire (PHQ-9) for screening depression symptoms. Results: The independent samples t-test indicates that emerging adults (ages ranging between 18 and 25 years) have more severe depression symptoms than young adults (26-35 years old). Gender differences were not found for procrastination, PTTU, and depression symptoms. Positive correlations were found between procrastination, PTTU, and depression symptoms. PTTU plays a mediating role in the associations between procrastination and depression. Conclusions: Both procrastination and PTTU treatment should be prioritized in the prevention and intervention programs for improving mental health among young adults. Some effective therapeutic methods are recommended.

The correlation between mobile phone addiction and procrastination in students: A meta-analysis

BACKGROUND

Mobile phone addiction (MPA) has been extensively researched as an important factor for students' procrastination. However, the direction and magnitudes of the correlation between MPA and procrastination remain unclear. This meta-analysis, thus, aims to explore the relationship between MPA and procrastination in students, as well as the moderating effects of participant's individual characteristics (education level and sex), measurement tools, and social situational factors (publication year and culture).

METHODS

Qualified studies were obtained through a systematic search of PubMed, Web of Science, Embase, PsycINFO, China National Knowledge Infrastructure (CNKI), Wanfang, and Weipu. Meta-analysis was conducted in the CMA 3.0 software, and meta-analysis of variance (ANOVA) was used to test the moderating effect.

RESULTS

A total of 75 studies, including 48,031 participants, were obtained. The combined effect size of the random effects model showed a significant positive correlation between MPA and procrastination in students (r = 0.376, 95 % CI [0.345, 0.406]). Education level, sex, culture, and MPA measurement tools significantly moderated the correlation between MPA and procrastination. However, the correlation was not moderated by the year of publication and the measurement tools of procrastination.

CONCLUSION

MPA is positively correlated with procrastination in students. Given the high incidence of MPA in students and its potential risk factors for procrastination, attention should be paid to the identification and intervention of MPA to prevent students from procrastination.

The Mediating Role of Procrastination in the Relationship between Fear of Missing Out and Internet Addiction in University Students

This study aims to examine the potential mediating role of procrastination in the relationship between fear of missing out and internet addiction. Employing a cross-sectional research design, this study utilized a paper-pencil form to collect data from 315 students (65.4% undergraduate and 66.3% females) between 18 and 32 (Mage = 22.43; SD = 3.81) studying at a state university in Türkiye. Data were collected through the convenience sampling method. The study was designed as a survey model. This design was tested via mediation analysis. The participants completed self-report assessments using the Fear of Missing Out Scale (FoMOs), General Procrastination Scale (GPS-9), and Young Internet Addiction Scale (short form). The findings showed that FoMO had a significant positive direct effect on both procrastination (R2 = 0.13) and internet addiction (R2 = 0.33). Procrastination also had a significant positive direct effect on internet addiction (R2 = 0.34). Additionally, procrastination mediated the relationship between the fear of missing out and internet addiction (β = 0.156, p < 0.001). These findings not only extend the scope of existing research but also hold practical implications for the development of sustainable interventions. It is believed that the findings will contribute to the consideration of procrastination when preparing psychoeducation or group guidance programs for internet addiction. These interventions can effectively address the process through which fear of missing out leads to internet addiction by considering the significant role of procrastination in students. Findings typically suggest that procrastination behavior is a key factor in explaining the association between FoMO and internet addiction.

Bidirectional relations between problematic smartphone use and bedtime procrastination among Chinese university students: Self-control as a mediator

OBJECTIVE

Based on theoretical and empirical evidence, this study examined the longitudinal relationship between problematic smartphone use and bedtime procrastination and the potential mediating role of self-control.

METHODS

Between November 2021 and November 2022, a three waves longitudinal design was employed. Wave 1 included 622 Chinese college students (46.95% male, Mage = 18.16, SD = 0.73), with 6-month intervals between waves. The data was collected using self-report assessments.

RESULTS

The results of the cross-lagged panel models show that problematic smartphone use positively predicted later bedtime procrastination, and the bedtime procrastination also positively predicted later problematic smartphone use among college students. More importantly, self-control played a mediating role in their bidirectional predictive relationship.

CONCLUSIONS

These findings add to the understanding of the causal relationship between problematic smartphone use and bedtime procrastination and reveal the core psychological mechanisms underlying their vicious cycle, with important practical implications for the prevention and intervention of problematic smartphone use and sleep problems.

Relationship between Problematic Smartphone Use, Sleep Quality and Bedtime Procrastination: A Mediation Analysis

The purpose of this investigation was to study the relationship between sleep quality, problematic smartphone use (PSU) and bedtime procrastination, as well as to assess gender and age differences. A total of 313 participants, aged 18-60 (M = 30 ± 10.1; 53.2% males), completed an online survey between February and May 2023 in Spain. The Pittsburgh Sleep Quality Index, Smartphone Addiction Scale-Short Version and Bedtime Procrastination Scale were used to measure sleep quality, PSU and bedtime procrastination, respectively. Additionally, smartphone use habits were evaluated through self-report questions. Pearson correlations, independent samples t-tests, one-way ANOVA, Bonferroni's post hoc tests and mediation analysis were conducted. Correlation analysis showed positive associations between the three main variables. Independent sample t-tests indicated females were more prone to PSU along with higher overall smartphone use. Post hoc analysis of one-way ANOVA exposed age differences between young adults (18-25 years old), adults (26-44 years old) and middle-aged adults (45-60 years old) in PSU and bedtime procrastination. Finally, mediation analysis revealed that PSU had indirect effects on sleep quality through bedtime procrastination, but no direct effects on sleep quality. Therefore, PSU, and especially bedtime procrastination, should be considered as targets in future campaigns or intervention programs to improve sleep quality among the young Spanish population.

Time Spent on Mobile Apps Matters: A Latent Class Analysis of Patterns of Smartphone Use among Adolescents

The aims of the present study are: (1) to determine classes of adolescents with homogeneous patterns of smartphone or social media use; and (2) to examine the level of distress across the empirically derived profiles. Three hundred and forty adolescents (Mage = 15.61, SD = 1.19; 38.2% females) participated in a cross-sectional survey. Participants provided objective trace data on time spent on smartphones and applications, as well as self-reported social media addiction, social media use intensity, online social comparison, emotion dysregulation, and psychological distress. Latent class analysis (LCA) with total smartphone use categorized participants into three classes. Participants in Class 3 (19%) showed a more impaired functioning profile, with a tendency towards social media addiction and greater levels of distress. LCAs with the amount of time devoted to specific applications are more heterogeneous, and results showed that heavy use of social media apps was not consistently connected to the most impaired psychosocial profiles. Although the amount of mobile screen time can be a characteristic of problematic users, the link between social media usage and an adolescent's psychological characteristics is mixed. More research is needed to explore the interplay between mobile screen time and social media usage among adolescents.

Flow mediates the relationship between problematic smartphone use and satisfaction with life among college students

Smartphones, while useful, can also function as a source of distraction from daily life and may reduce life satisfaction by inhibiting concentration and interrupting attention to ongoing tasks, thoughts, and social interactions.

OBJECTIVES

The current study tested whether interruptions in flow mediate associations between problematic smartphone use (PSU) and life satisfaction among college students.

PARTICIPANTS

Two hundred and nine college student smartphone users screened in to the study.

METHODS

188 individuals (90%) completed baseline and 158 individuals (76%) completed one week of Ecological Momentary Assessment surveys and a one-week follow-up survey.

RESULTS

Flow mediates the relationship between PSU and satisfaction with life such that PSU was negatively associated with flow, flow was positively associated with satisfaction with life, and the indirect effect of PSU on satisfaction with life through flow was significant and negative.

CONCLUSION

These findings suggest that the lack of flow college students experience due to PSU contributes to lower life satisfaction.

How to Procrastinate Productively With ADHD: A Study of Smartphone Use, Depression, and Other Academic Variables Among University Students With ADHD Symptoms

OBJECTIVE

The association between chemical dependency and Attention-Deficit Hyperactivity Disorder is widely recognized, but there is less data regarding modern behavioral addictions among young adults.

METHOD

In this cross-sectional study, a sample of 408 Hungarian college students (67.2% female, mean age 23.37 years [SD = 3.87]) responded to an online survey including the Adult ADHD Self-Report Scale, the Center for Epidemiologic Studies-Depression Scale (CES-D), the Procrastination Scale, the Short College Boredom Scale, and the Smartphone Addiction Scale (SAS-SV).

RESULTS

Regression analyses showed that passive procrastination (ß = .31, p < .001), depression (ß = .20, p < .001), academic boredom (ß = .18, p < .001), active procrastination (ß = -.12, p < .001), and smartphone addiction (ß = .13, p < .001) were significantly related to ADHD symptoms, accounting for 41% of the variance.

CONCLUSION

Findings provide important additions to knowledge of mental health challenges among young adults with ADHD.

Problematic use of social media: The influence of social environmental forces and the mediating role of copresence

People's dependence on technology in the digital environment has increasingly become the focus of academic and social attention. Social media, in particular, with the functions of connecting with others and maintaining interactions, has become an inseparable part of people's lives. Although the formation of problematic use of social media has been extensively discussed by scholars, it is mainly confined to the individual level and lacks a macro perspective from the external environment. This study draws on the perspective of institutional theory and introduces copresence as a mediating role, aiming to investigate the influence mechanism of social environmental forces on individuals' problematic use of social media. An online survey (N = 462) was conducted to collect data and test the research model. Our data were analyzed using the structural equation modeling (SEM) approach. Results show that social environmental forces exert an impact on problematic use of social media through the sense of copresence, and only mimetic force can directly affect behavior outcomes while the other two forces can not. Besides, social environmental forces have a relationship with people's sense of copresence while using social media. Among them, mimetic force and normative force positively correlate with copresence while coercive force is negatively related to copresence. Furthermore, copresence is found to influence problematic use of social media positively. Practical and theoretical implications are discussed.

Examination of non-cognitive variables affecting academic achievement: a conceptual model proposal

Psychological factors have a significant role in better understanding mechanisms that affect students' academic performance. The intense and long-term stress of the pandemic process has made it necessary to rethink the components which effect the academic achievement of pupils. The purpose of this study is to examine the variables that predict the academic achievement of university students during the pandemic process and to present a model on these variables. The study group has 241 students who continue their undergraduate education in Turkey. The data were collected with a self-description form and 6 scales. The partial Least Squares (PLS) Structural Equation Model was used to analyses the developed research model. In consequence of the study, a relationship was obtained between academic procrastination (AP) and multi-screen addiction (MSA). Covid-19 burnout has a crucial effect on AP, multiscreen addiction, and psychological well-being variables. Motivation and self regulation-attention variables are explanatory of AP. This study contributes to expanding the nomological network regarding the effects of Covid-19 on the psychological well-being and behavior of individuals.

Prevalence of Smartphone Addiction and Its Association with Sociodemographic, Physical and Mental Well-Being: A Cross-Sectional Study among the Young Adults of Bangladesh

Smartphones have made our lives easier and have become indispensable for everyday life; however, their uncontrolled and excessive use can trigger "smartphone addiction" (SA). SA is a rising public health issue, particularly among young people around the world. There is a dearth of empirical research about SA and its impacts on young adults, particularly in developing countries such as Bangladesh. This cross-sectional study is an attempt to fill this gap. The data were collected from 440 eligible young adults in Bangladesh using an online survey between July 2021 and February 2022. Study results revealed that 61.4% of the young adults were addicted to their smartphone. Logistic regression analysis showed that being male, aged ≤25, unemployed and living with a large family size (≥8) were the significant sociodemographic predictors of SA. Smartphone-addicted participants were more likely to be less physically active, suffer from insomnia, be overweight or obese and use their phones while driving, walking and eating. In addition, the SA group were more likely to have physical and mental well-being problems. This study brings to light significant implications for policy makers and indicates a need for an SA community awareness programme which aims to reduce SA at the societal level.

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

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

Academic Cyberslacking: Why Do Students Engage in Non-Academic Internet Access During Lectures?

Introduction

University students, as members of the digital generation, often access the internet for non-academic purposes while attending lectures in the classroom. Internet access for non-academic purposes during lectures is known as academic cyberslacking. This study aims to test the effects of media multitasking, self-efficacy, self-regulation, social media engagement, and Attention, Relevance, Confidence, and Satisfaction (ARCS) motivation, on the engagement in academic cyberslacking by university students.

Methods

The participants were 1485 university students, who had previously engaged in academic cyberslacking during lectures. The research instruments in this study were an academic cyberslacking scale, a media multitasking self-efficacy scale, a self-regulation scale, a social media engagement scale, and an ARCS motivation scale. The research model and hypotheses are tested using structural equation model (SEM) by Lisrel. Confirmatory factor analysis (CFA) is also used to analyze all the instruments. The respondents’ demographic data were analyzed using SPSS.

Results

The results showed that it is only media multitasking self-efficacy and social media engagement which have any significant effects regarding academic cyberslacking. Self-regulation and ARCS motivation do not have direct association with academic cyberslacking.

Conclusion

Students do academic cyberslacking during lectures. Media multitasking self-efficacy and social media engagement can predict students’ academic cyberslacking. It is recommended that students direct their involvement in the digital environment to more constructive efforts during lectures.

Effect of smartphone use before bedtime on smartphone addiction behaviors among Chinese college students

Smartphone addiction behaviors are becoming more and more common with the rapid popularity and widespread use of smartphones. Such behaviors are significantly influenced by the overuse of smartphones before bedtime. In this study, the overuse of smartphones after 9:00 pm before bedtime was investigated by an online questionnaire. The sample consists of 1,035 college students in China. The artificial neural networks were applied to predict the use time of smartphones before bedtime based on their different usages, and the relationship between smartphone usage and additive behaviors was analyzed. The results show that the neural network model can more accurately predict the usage time of smartphones according to the usage of smartphones before going to bed. At the same time, it is also found that the prediction accuracy of the samples that use the smartphone for less than half an hour and more than 3 h before bed is higher than that of other samples. Moreover, watching short videos and playing games are more likely to lead to mobile phone addiction behavior. These findings would help guide college students to correctly use phones and reduce smartphone addition, which is of great significance for mental health education.

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

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

Tolerance for ambiguity, reappraisal, and suppression mediate the relationship between problematic internet use and procrastination

The current scientific literature lacks studies on the relationship between problematic internet use (PIU) and procrastination, especially regarding the mediating mechanisms underlying this relationship. The present study examined the association between procrastination and PIU, as well as determining the mediating roles of tolerance for ambiguity, reappraisal, and suppression. The conceptual model was tested using data collected from 434 Iranian college students. The participants completed a number of psychometric scales assessing procrastination, PIU, tolerance for ambiguity, reappraisal, and suppression. Structural equation modeling was used to test the hypothesized model. Results showed that PIU, tolerance for ambiguity, and suppression were positively associated with procrastination, and that there was a negative association between reappraisal and procrastination. Moreover, the mediation analysis indicated that tolerance for ambiguity, reappraisal, and suppression fully mediated the association between PIU and procrastination. However, it is also possible to interpret the results as suggesting that PIU is unimportant as a predictor for procrastination once mediators are controlled for.

Qudah MF, Al-Barashdi HS, Bakhiet SF, Darandari E, Al-Asqah SS, Hammad HI, Al-Khadher MM, Qara S, Al-Mutairy SH, Albursan HI. Smartphone Addiction among University Students in Light of the COVID-19 Pandemic: Prevalence, Relationship to Academic Procrastination, Quality of Life, Gender and Educational Stage

The current study aims to identify the level and proportions of smartphone addiction, and academic procrastination among university students in the light of the Corona pandemic; identify the differences in smartphone addiction, academic procrastination, and quality of life according to gender and stage of study; and revealing the predictive ability of academic procrastination and quality of life for smartphone addiction. Methods: 556 male and female students from Saudi universities participated in the study, whose ages ranged from 18 to 52 years. Measures of academic procrastination and quality of life were used, in addition to the Italian scale of smartphone addiction, which was translated and checked for validity and reliability. Results: The results revealed that 37.4% of the sample were addicted to smartphone use, while 7.7% had a high level of procrastination, and 62.8% had an average level of procrastination. The results did not show statistically significant differences in smartphone addiction and quality of life according to gender and educational stage, while there were statistically significant differences in academic procrastination according to gender in favor of males, and according to stage of education in favor of undergraduate students. The results also revealed a statistically significant positive relationship between academic procrastination and smartphone addiction, and a statistically significant negative relationship between smartphone addiction and quality of life. A negative relationship between quality of life and academic procrastination was found. The results also revealed that addiction to smartphones could be predicted through academic procrastination and quality of life.

Problematic Smartphone Use Leads to Behavioral and Cognitive Self-Control Deficits

Excessive use of smartphones has been associated with a number of negative consequences for individuals. Some of these consequences relate to many symptoms of behavioral addiction. The present study aims to investigate whether participants with high levels of smartphone usage may have difficulty with their ability to wield the self-control that is needed to restrict smartphone usage compared to participants with lower levels of smartphone addiction. Specifically, we expect that people with high levels of smartphone usage may have problems in refraining from using a smartphone. In addition, we expect people with a high level of smartphone use may show deficiencies in cognitive tasks such as memory, executive control, and visual and auditory attention. An ABA design was applied to analyze the effects of smartphone withdrawal. The first A refers to baseline measurements: Visual RT, Auditory RT, Go/No-Go RT and N-Back RT and Eriksen flanker RT. The B refers to 3 days of smartphone withdrawal, whereas the second A refers to the same measurements used in the baseline. In addition, several standardized scales were administered, among them: Smartphone addiction scale-short version (SAS-SV), Fear of missing out scale (FoMOs), Procrastination scale, and Psychological General Well-Being Index. One hundred and eleven participants took part in the study. Based on median split they were divided into two groups: high level and low level smartphone users. Moreover, thanks to an app installed on the participants' smartphones, it was possible to measure levels of compliance with the task. Results indicate that participants with low levels of smartphone usage show less difficulty in their ability to wield the self-control needed to withdraw smartphone use and faster reaction times on cognitive tests than participants with high levels of smartphone usage. Moreover, the profile of participants with high levels of smartphone usage shows higher scores on the FoMOs and Procrastination scale, and lower scores in the Psychological General Well-Being Index. The results are discussed in light of self-regulation theory.

Smartphone Addiction Prevalence and Its Association on Academic Performance, Physical Health, and Mental Well-Being among University Students in Umm Al-Qura University (UQU), Saudi Arabia

Smartphone use can lead to smartphone addiction, which is a growing concern worldwide. However, there are limited studies about smartphone addiction and its impacts on university students in Saudi Arabia. This study aims to fill this gap. This is a quantitative study conducted among undergraduate students in Umm Al-Qura University (UQU), Saudi Arabia from May 2019 and February 2021. Study data were collected using both online and hard copy administered surveys. A self-administered questionnaire, Grade point average, Smartphone Addiction Short Version, and Kessler Psychological Distress scales were used to assess the outcomes. A total of 545 undergraduate students, mostly females, aged ≤21 years old and lived with large family sizes. More than half owned a smartphone for 5–8 years and the majority used their smartphone on average 6–11 h per day for social networking (82.6%), entertainment (66.2%) and web surfing (59.6%). Most of the participants were smartphone-addicted (67.0%). Logistic regression analysis showed that age ≤ 21, not gainfully employed, small family size and high family income were the main significant socio-demographic predictors of smartphone addiction. Smartphone-addicted participants were more likely to: have lower academic performance (GPA); be physically inactive; have poor sleep; be overweight/obese; have pain in their shoulder (39.2%), eyes (62.2%) and neck (67.7%) and have a serious mental illness (30.7%). This finding has significant implications for decision makers and suggests that smartphone education focusing on the physical and mental health consequences of smartphone addiction among university students can be beneficial.

Problematic Smartphone Use and Problematic Social Media Use: The Predictive Role of Self-Construal and the Mediating Effect of Fear Missing Out

Problematic smartphone use (PSU) and problematic social media use (PSMU) are two interrelated constructs which have received significant research attention over the past decade. The present study investigated the relationship between self-construal (distinguished as independent and interdependent), PSU and PSMU with Fear of Missing Out (FoMO) as a mediating variable. The sample comprised 405 Italian students who completed standardized psychometric scales assessing the variables of the study. Bivariate correlations analysis showed that FoMO and independent self-construal was significantly and negatively associated. On the contrary, interdependent self-construal was significantly and positively associated with FoMO, PSU, and PSMU. Mediation analysis showed that FoMO mediated the relationship between self-construal and both PSMU and PSU, but at different levels. The results demonstrated that FoMO full mediated the relationships between interdependent self and PSU, whereas only partial mediation was found between interdependent self and PSMU. Therefore, taking these personality characteristics into account may help reduce dysfunctional behaviour associated with problematic technology use and promote psychological well-being among students. However, it is recommended that further studies replicate the proposed model by including other psychological constructs.

Academic Procrastination and Negative Emotions Among Adolescents During the COVID-19 Pandemic: The Mediating and Buffering Effects of Online-Shopping Addiction

Purpose

The COVID-19 pandemic that began in 2019 has had a significant impact on people’s learning and their lives, including a significant increase in the incidence of academic procrastination and negative emotions. The topic of how negative emotions influences academic procrastination has been long debated, and previous research has revealed a significant relationship between the two. The purpose of this study was to further investigate the mediating and buffering effects of online-shopping addiction on academic procrastination and negative emotions.

Methods

The researchers conducted a correlation analysis followed by a mediation analysis and developed a mediation model. The study used stratified sampling and an online questionnaire as the data collection method. In this study, first, five freshmen students at vocational and technical colleges in Guangdong Province, China, were called to distribute the questionnaire. Second, after communicating with them individually, first-year students of Guangdong origin were selected as participants. Finally, 423 freshman students participated by completing the questionnaire. The questionnaire consisted of 4 parts: demographic information, an online-shopping-addiction scale, an academic-procrastination scale and a negative-emotions scale. A total of 423 students, 118 males (27.9%) and 305 females (72.1%) from 10 vocational and technical colleges in Guangdong were surveyed. SPSS 25.0 was used to process and analyze the data. The data collected were self-reported.

Results

The results showed that: first, academic procrastination was significantly and positively associated with online-shopping addiction (r = 0.176, p < 0.01). Second, academic procrastination was significantly and positively associated with negative emotions (r = 0.250, p < 0.01). Third, online-shopping addiction was significantly and positively associated with negative emotions (r = 0.358, p < 0.01). In addition, academic procrastination had a significant positive predictive effect on online-shopping addiction (β = 0.1955, t = 3.6622, p < 0.001). Online-shopping addiction had a significant positive predictive effect on negative emotions (β = 0.4324, t = 7.1437, p < 0.001).

Conclusion

This study explored the relationship between students’ academic procrastination, negative emotions, and online-shopping addiction during the COVID-19 pandemic. The results indicated that students’ level of academic procrastination positively influenced their level of online-shopping addiction and negative emotions, and their level of online-shopping addiction increased their negative emotions. In addition, there was a mediating effect between the degree of participants’ online-shopping addiction and their degree of academic procrastination and negative emotions during the pandemic. In other words, with the mediating effect of online-shopping addiction, the higher the level of a participant’s academic procrastination, the more likely that the participant would have a high score for negative emotions.

Fear of Missing Out and Irrational Procrastination in the Mobile Social Media Environment: A Moderated Mediation Analysis

This study explored the relationship between Fear of Missing Out (FoMO) and irrational procrastination in a mobile social media environment and its underlying mechanism: the mediating role of cognitive failure. The study was conducted with 817 college students using the FoMO Scale, Irrational Procrastination Scale, Cognitive Failures Questionnaire, and Self-Control Scale. The results showed that (a) FoMO positively predicted irrational procrastination in the mobile social media environment; (b) cognitive failure had a complete mediating effect on the relationship between FoMO and irrational procrastination; and (c) self-control had a moderating effect on the relationship between FoMO and cognitive failure.

Psychometric Properties of the Smartphone Distraction Scale in Chinese College Students: Validity, Reliability and Influencing Factors

AIM

The objective of this study was to evaluate the Chinese version of the Smartphone Distraction Scale (C-SDS), which is an easy-to-use tool for screening the risk of smartphone distraction in Chinese college students.

METHODS

The C-SDS, Smartphone Addiction Scale - Short Version (SAS-SV), Fear of Missing Out scale (FoMO) and Metacognition about Smartphone Use Questionnaire (MSUQ) were used in a sample of 1,002 Chinese college students to test smartphone distraction and its influencing factors. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were performed to test measurement properties and factor structures of the C-SDS. Multi-variable linear regressions examined the relationships of sex, age, education level, the purpose of using a smartphone, usage of smartphone (hours per day), fear of missing out, smartphone addiction and positive and negative metacognitions about smartphone use with the C-SDS.

RESULTS

The EFA showed a 3-factor structure, which consisted of attention impulsiveness, multitasking and emotion regulation. The CFA showed that the 3-factor demonstrated an overall better model fit (RMSEA = 0.07, SRMR = 0.05, CFI = 0.94, TLI = 0.93). The C-SDS showed internal consistency (Cronbach's α = 0.88, McDonald's Omega ω = 0.88). Findings included that negative metacognition about smartphone use was most correlated with the C-SDS (b = 0.73; p < 0.001). Smartphone addiction, positive metacognition about smartphone use and fear of missing out also correlated with the C-SDS (b = 0.66, p < 0.001; b = 0.53, p < 0.001; b = 0.40, p < 0.001, respectively). The study shows that males compared to females (b = -1.65; p = 0.003), had a higher C-SDS score.

CONCLUSION

The C-SDS was valid and reliable for assessing the distraction of using smartphones in the Chinese context. Being female, the purpose of using a smartphone, smartphone usage (hours per day), fear of missing out, smartphone addiction and positive and negative metacognitions about smartphone use were positively correlated to the C-SDS.

Is the relationship between problematic mobile phone use and mental health problems mediated by fear of missing out and escapism?

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Higher level of problematic mobile phone use was associated with higher level of mental health problems, Fear of Missing Out (FoMO) and escapism.

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Higher level of mental health problems was associated with higher level of FoMO.

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Higher level of FoMO and worry was associated with higher level of escapism.

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The association between problematic mobile phone use and mental health problems was not mediated by FoMO and escapism.

Introduction

Individuals with problematic mobile phone use often report mental health problems, however, little is known about factors which mediate this association. Therefore, the aim of this study was to examine the mediating role of fear of missing out (FoMO) and escapism in an attempt to explain the relationship between problematic mobile phone use and mental health problems.

Method

A total of 235 undergraduate students in Turkey participated in this study. These participants completed a set of questionnaires to measure fear of missing out, problematic mobile phone use, escapism, depression, anxiety, stress, and worry severity.

Results

Participants with a high level of problematic mobile phone use also had a high level of mental health problems, FoMO, and escapism. The association between problematic mobile phone use and mental health problems was not mediated by FoMO and escapism.

Conclusion

Personal characteristics such as emotional regulation and self-regulation need to be examined in future studies in order to determine their potential mediating role in explaining the association between problematic mobile phone use and mental health problems.

Why Are We Distracted by Social Media? Distraction Situations and Strategies, Reasons for Distraction, and Individual Differences

Social media is a major source of distraction and thus can hinder users from successfully fulfilling certain tasks by tempting them to use social media instead. However, an understanding of why users get distracted by social media is still lacking. We examine the phenomenon of social media distraction by identifying reasons for, situations of, and strategies against social media distraction. The method adopted is a quantitative online survey (N = 329) with a demographically diverse sample. The results reveal two reasons for social media distraction: social (e.g., staying connected and being available) and task-related distraction (e.g., not wanting to pursue a task). We find individual differences in these reasons for distraction. For social distraction, affiliation motive and fear of missing out (FoMO) are significant predictors, while for task-related distraction, self-regulatory capabilities (self-control, problematic social media use) and FoMO are significant predictors. Additionally, typical distraction situations are non-interactive situations (e.g., watching movies, facing unpleasant tasks). Strategies used to reduce distractions mostly involved reducing external distractions (e.g., silencing the device). This paper contributes to the understanding of social media use by revealing insights into social media distraction from the user perspective.

The Overlap Between Problematic Smartphone Use and Problematic Social Media Use: a Systematic Review

Purpose of Review

Over the last decade, problematic smartphone use (PSU) and problematic social media use (PSMU) have emerged as new potential problematic behaviours. Several studies have suggested that smartphones are predominantly used for social purposes (i.e., using messaging apps and social networking sites). The aim of the current article is to provide a systematic review of the extant literature that has explicitly analysed the association between PSU and PSMU in order to examine study characteristics in terms of samples analysed and effect sizes of the associations reported. This systematic review is based on the ongoing debate about whether the smartphone can be considered as the medium of one or more problematic activities, including PSMU.

Recent Findings

Existing evidence suggests that the effect sizes of the associations between PSU and PSMU are medium to large and large across the 13 studies included, with the largest correlations observed between PSU and problematic WhatsApp use or general PSMU. Overall, reviewed results suggest a partial overlap between the two problematic behaviours.

Summary

PSU and PSMU are overlapped mostly because the smartphone is a common medium to use social media, especially concerning instant messaging apps like WhatsApp. Moreover, PSU should be preferentially studied with a focus on specific types of apps used rather than a more holistic phenomenon.

Academic procrastination precedes problematic mobile phone use in Chinese adolescents: A longitudinal mediation model of distraction cognitions

Cross-sectional studies have documented a positive association between academic procrastination and problematic mobile phone use (PMPU). However, the specific predictive direction has remained controversial and the potential mechanisms underlying the association have not been rigorously evaluated. According to Davis's cognitive-behavioral model, Brand et al.'s I-PACE model, and procrastination-related theories, academic procrastination and PMPU might have a reciprocal relationship and distraction cognitions might play a mediating role in this process. A total of 633 secondary school students completed three self-report questionnaires at three 6-month intervals over the course of 1.5 years. The cross-lagged panel model results showed that earlier academic procrastination positively predicted subsequent PMPU over time, but the reverse prediction was not stable. Furthermore, distraction cognitions played a mediating role in linking earlier academic procrastination and subsequent PMPU. These findings indicate that academic procrastination precedes PMPU with distraction cognitions as a potential mediator, which contributes to clarifying the controversial relationship and explicating the underlying mechanism. Overall, interventions for academic procrastination may be effective in reducing maladaptive cognitions associated with mobile phones and preventing adolescents from developing PMPU.

Longitudinal relationships among problematic mobile phone use, bedtime procrastination, sleep quality and depressive symptoms in Chinese college students: a cross-lagged panel analysis

BACKGROUND

Cross-sectional and longitudinal studies have found that problematic mobile phone use, bedtime procrastination, sleep quality, and depressive symptoms are strongly associated. However, studies are inconsistent regarding whether problematic mobile phone use predicts depressive symptoms or vice versa, and sleep factors have been infrequently focused on in this regard. In addition, few studies have examined the longitudinal associations and directions of effects between these factors. Therefore, this study aims to explore the longitudinal relationship among problematic mobile phone use, bedtime procrastination, sleep quality, and depressive symptoms in college students.

METHODS

Overall, 1181 college students completed questionnaires on problematic mobile phone use, bedtime procrastination, sleep quality, and depressive symptoms at two time points 12 months apart. A cross-lagged model was used to examine the longitudinal relationship between these factors.

RESULTS

Cross-lagged analyses showed significant bidirectional relationships of problematic mobile phone use with bedtime procrastination and depressive symptoms. Additionally, there were also significant bidirectional relationships of sleep quality with bedtime procrastination and depressive symptoms. Problematic mobile phone use predicted subsequent sleep quality one-way, and bedtime procrastination predicted subsequent depressive symptoms one-way.

CONCLUSIONS

This study further expands our understanding of the longitudinal and bidirectional relationships among problematic mobile phone use, bedtime procrastination, sleep quality and depressive symptoms and helps school mental health educators design targeted interventions to reduce problematic mobile phone use, sleep problems, and depressive symptoms among college students.

Bedtime Smart Phone Usage and Its Effects on Work-Related Behaviour at Workplace

The over usage and over dependency on digital devices, like smartphones, has been considered as a growing international epidemic. The increased dependency on gadgets, especially smartphones for personal and official uses, has also brought many detrimental effects on individual users. Hence it is vital to understand the negative effects of smartphone usage on human. Therefore, this study aims to investigate the effects of bedtime smartphone usage on work performances, interpersonal conflicts, and work engagement, via the mediating role of sleep quality among employees. Using a cross-sectional study design, a questionnaire-based field survey was conducted on 315 employees who participated as respondents. The results confirmed the negative effects of bedtime smartphone usage on sleep quality. Along with it, the effects of sleep quality on work performances, work engagements and interpersonal conflicts were also proven to be statistically significant. Regarding the mediating role of sleep quality, it was empirically evident that sleep quality mediates the relationship between bedtime smartphone usage with work performances and interpersonal conflicts. The findings revealed that bedtime smartphone usage reduces sleep quality among the employees, resulting in lower work performances and engagements while contributing to higher interpersonal conflicts. The findings concluded that smartphone usage before sleep increases the prospects of employees to be less productive, less engaged, and have more workplace conflicts. The findings warrant the continued managerial as well as academic research attention, as the smartphones are now used by many organisations to run businesses as well.

Procrastination on social media: predictors of types, triggers and acceptance of countermeasures

Procrastination refers to the voluntary delay of urgent tasks and can have several negative consequences such as stress, health issues and academic under-achievement. Several factors including personality, culture and gender have been identified as predictors of procrastination, although there are some conflicting findings within the literature. Social networking sites have been identified as a possible facilitator of procrastination, in part due to their design features that encourage immersion and continual interaction. However, social networking sites also provide the opportunity for intelligent, real-time prevention and intervention strategies to be delivered that can reduce the experience of procrastination. In this paper, we build upon our research in which we used a mixed-method approach to explore the types, triggers and acceptance of countermeasures for procrastination on social media. Following a survey of 288 participants from the UK (n = 165) and the Kingdom of Saudi Arabia (n = 123), we conducted a series of multiple regression and binary logistic regression models to determine predictors of these factors. Several predictors such as self-control and conscientiousness were found to be significant predictors, but overall, the amount of variance explained by the regression models was relatively low. The results demonstrate that participants are receptive to countermeasures for procrastination being delivered through social networking sites but suggest that the predictors of procrastination related phenomena experienced in social networking sites are different than in offline settings.

Exploring the Dimensions of Smartphone Distraction: Development, Validation, Measurement Invariance, and Latent Mean Differences of the Smartphone Distraction Scale (SDS)

Background: Distraction is a functional emotion regulation strategy utilized to relieve emotional distress. Within the attention economy perspective, distraction is increasingly associated with digital technology use, performance impairments and interference with higher-order cognitive processes. Research on smartphone distraction and its association with problematic smartphone use is still scarce and there is no available psychometric assessment tool to assess this cognitive and emotive process parsimoniously. Method: The present study reports the development and evaluation of the psychometric properties of the Smartphone Distraction Scale (SDS) through exploratory and confirmatory factor analysis, construct validity, gender invariance, and latent mean differences. The study was conducted in a sample of British university students (N = 1,001; M = 21.10 years, SD = 2.77). Results: The 16-item SDS was best conceptualized in a four-factor model solution comprising attention impulsiveness, online vigilance, emotion regulation, and multitasking. Construct validity was established using relevant psychosocial and mental health measures, with SDS scores being moderately associated with deficient self-regulation and problematic social media use. Gender measurement invariance was achieved at the configural, metric, and scalar levels, and latent mean differences indicated that females had significantly higher means than males across all four SDS latent factors. Discussion: The SDS presents with several strengths, including its theoretical grounding, relatively short length, and sound psychometric properties. The SDS enables the assessment of distraction, which appears to be one of the pathways to problematic smartphone use facilitating overuse and overreliance on smartphones for emotion regulation processes. The assessment of distraction in relation to problematic use in vulnerable populations may facilitate interventions that could encourage metacognition and benefit these groups by allowing sustained productivity in an increasingly disrupted work and social environment.

Effects of smartphone addiction on sleep quality among Chinese university students: The mediating role of self-regulation and bedtime procrastination

The steep rise of smartphone use has raised public concerns about smartphone addiction and its associated negative health consequences, such as poor sleep quality; however, limited research has examined the psychological mechanisms underlying these associations. The current study tested the effects of smartphone addiction on poor sleep quality, through self-regulation and bedtime procrastination, among 427 Chinese undergraduate students, aged 18 or older (M = 19.36; female = 66%), who voluntarily completed an anonymous online questionnaire. The results showed that 1/3 of participants reported poor subjective sleep quality. Smartphone addiction and bedtime procrastination had a significant positive relationship, whereas self-regulation had a significant negative association, with poor sleep quality (which was assessed by sleep latency, sleep duration, and subjective sleep quality). Despite its nonsignificant direct effects, the indirect effects of smartphone addiction, via both self-regulation and bedtime procrastination, on the three indicators of poor sleep quality were statistically significant. The findings have supported the premise that both bedtime procrastination and poor self-regulation are risk-enhancing mediators on the association between smartphone addiction on poor sleep quality. Therefore, they should be considered in intervention programs (e.g., self-regulation skill training) to reduce smartphone addiction and improve sleep quality and physical wellbeing among university students.

Trait Procrastination and Mobile Phone Addiction Among Chinese College Students: A Moderated Mediation Model of Stress and Gender

Recent studies have indicated that trait procrastination as a personality factor could lead to mobile phone addiction, however little is known about the mediating and moderating mechanisms underlying this process. The current study investigated the mediating role of stress in the relationship between trait procrastination and mobile phone addiction, and whether the mediating effect was moderated by gender. A sample including 1,004 Chinese college students completed measurements of trait procrastination, stress, mobile phone addiction, and demographic information. The results showed that trait procrastination was positively related to college students' mobile phone addiction. Mediation analyses revealed that this relationship was partially mediated by stress. Moderated mediation further indicated that the path between trait procrastination and stress was stronger for male students compared with female students. These findings broadened our knowledge of the underlying mechanisms between trait procrastination and mobile phone addiction, the implications and limitations of this study were discussed.

Fear of Missing Out (FoMO) and social media's impact on daily-life and productivity at work: Do WhatsApp, Facebook, Instagram, and Snapchat Use Disorders mediate that association?

Fear of Missing Out (FoMO) is the tendency to experience anxiety over missing out on rewarding experiences of others. It has been associated with daily-life disruptions, such as distractions during driving. FoMO has also consistently been a predictor of Internet, smartphone, and social networks use disorders. In the current work, we investigated the association between FoMO and social media use's impact on daily-life and productivity at work. In addition, we aimed to determine whether WhatsApp, Facebook, Instagram, and Snapchat Use Disorders mediate that relationship. The effective sample comprised 748 German-speaking study participants from the general population (age M = 38.63, SD = 12.10; 336 men, 412 women) who took part in an online survey study. Bivariate analyses showed that severity of all social networks use disorders were positively correlated with FoMO and social media's negative impact on daily-life and productivity at work. Furthermore, controlling for age and gender, mediation analyses showed that out of all platforms, only Snapchat Use Disorder did not mediate the association between FoMO and social media's negative impact on daily-life and productivity at work. These results provide further evidence about FoMO's central role in digital technology use-related disorders.

Mexican and Spanish university students' Internet addiction and academic procrastination: Correlation and potential factors

The 21^st-century problem of Internet addiction is increasing globally, but especially among university students. Not surprisingly, then, problematic Internet use is associated with university students’ academic procrastination. Because studies are scarce in Mexico and Spain has one of the highest rates of Internet addiction in Europe, this paper (i) analyzed the presence and degree of Internet addiction among university students in Mexico and Spain, (ii) determined potential sociodemographic factors influencing Internet addiction, and (iii) established the type of correlation between Internet addiction and academic procrastination. The cross-sectional study design used an online questionnaire to measure problematic Internet use and academic procrastination through convenience sampling at one university in Mexico and one in Spain. The questionnaire contained three sections: participants’ sociodemographic data, the Internet Addiction Test, and the Academic Procrastination Scale. The final sample comprised 758 university students, 387 from Mexico, and 371 from Spain, aged from 18 to 35 (M = 20.08, SD = 3.16). Results revealed similar prevalence rates of problematic and daily Internet use for leisure, potentially influencing Internet addiction in all three models (i.e., Mexico, Spain, and Total). Additionally, significant positive correlation was revealed between problematic Internet use and academic procrastination (p < .001). Finally, findings showed relevant data on Internet addiction’s prevalence in Mexican and Spanish university contexts, along with its influential sociodemographic factors.

Linking FOMO and Smartphone Use to Social Media Brand Communities

Social media brand communities provide firms with the necessary apparatus to develop and maintain relationships. This study explores the effect of fear of missing out (FOMO) and smartphone use on consumer engagement in social media brand communities, which the study hypothesizes to affect consumer loyalty. Data from 279 social media brand community (SMBC) participants were analyzed. Findings reveal that both fear of missing out and smartphone use influence consumer engagement, which in turn influences consumer loyalty in social media brand communities. Furthermore, smartphone use was found to mediate the impact of fear of missing out on consumer engagement.