Mobile Phone Involvement Questionnaire Research Articles

Associations between adverse childhood experiences and early adolescent problematic screen use in the United States

BackgroundProblematic screen use, defined as an inability to control use despite private, social, and professional life consequences, is increasingly common among adolescents and can have significant mental and physical health consequences. Adverse Childhood Experiences (ACEs) are important risk factors in the development of addictive behaviors and may play an important role in the development of problematic screen use.MethodsProspective data from the Adolescent Brain Cognitive Development Study (Baseline and Year 2; 2018–2020; N = 9,673, participants who did not use screens were excluded) were analyzed in 2023. Generalized logistic mixed effects models were used to determine associations with ACEs and the presence of problematic use among adolescents who used screens based on cutoff scores. Secondary analyses used generalized linear mixed effects models to determine associations between ACEs and adolescent-reported problematic use scores of video games (Video Game Addiction Questionnaire), social media (Social Media Addiction Questionnaire), and mobile phones (Mobile Phone Involvement Questionnaire). Analyses were adjusted for potential confounders including age, sex, race/ethnicity, highest parent education, household income, adolescent anxiety, depression, and attention-deficit symptoms, study site, and participants who were twins.ResultsThe 9,673 screen-using adolescents ages 11–12 years old (mean age 12.0) were racially and ethnically diverse (52.9% White, 17.4% Latino/Hispanic, 19.4% Black, 5.8% Asian, 3.7% Native American, 0.9% Other). Problematic screen use rates among adolescents were identified to be 7.0% (video game), 3.5% (social media), and 21.8% (mobile phone). ACEs were associated with higher problematic video game and mobile phone use in both unadjusted and adjusted models, though problematic social media use was associated with mobile screen use in the unadjusted model only. Adolescents exposed to 4 or more ACEs experienced 3.1 times higher odds of reported problematic video game use and 1.6 times higher odds of problematic mobile phone use compared to peers with no ACEs.ConclusionsGiven the significant associations between adolescent ACE exposure and rates of problematic video and mobile phone screen use among adolescents who use screens, public health programming for trauma-exposed youth should explore video game, social media, and mobile phone use among this population and implement interventions focused on supporting healthy digital habits.

Mobile phone dependency and sleep quality in college students during COVID-19 outbreak: the mediating role of bedtime procrastination and fear of missing out

ObjectiveThe purpose of this study was to investigate the associations between mobile phone dependency, bedtime procrastination, FoMO, and sleep quality among college students during the COVID-19 outbreak. Specifically, we examined whether bedtime procrastination and FoMO mediate the relationship between mobile phone dependency and sleep quality.MethodsA total of 881 college students completed an online survey in May 2022 in Shanghai, China. Mobile Phone Involvement Questionnaire, Bedtime Procrastination Scale, Fear of Missing Out Scale and Pittsburgh Sleep Quality Index were used to assess mobile phone dependency, bedtime procrastination, fear of missing out, and sleep quality, respectively. Multiple linear regression and mediation analysis were conducted.ResultsThe correlation analyses indicated mobile phone dependency was positively associated with fear of missing out, bedtime procrastination, and poor sleep quality among college students. The structural equation modeling analyses revealed that mobile phone dependency had significant indirect effects on sleep quality through bedtime procrastination (indirect effect: 0.030, 95%CI: 0.022–0.041) and fear of missing out (indirect effect: 0.013, 95%CI: 0.003–0.023).ConclusionThe findings indicated that bedtime procrastination and fear of missing out are mediators mediating the relationship between mobile phone dependency with sleep quality. Bedtime procrastination and fear of missing out should be considered as potential intervention targets for reducing mobile phone dependency and improving sleep quality in college students.

Social epidemiology of early adolescent problematic screen use in the United States

ObjectiveTo determine sociodemographic correlates of problematic screen use (social media, video games, mobile phones) among a racially/ethnically and socioeconomically diverse population-based sample of 10–14-year-old early adolescents.Study designWe analyzed cross-sectional data from the Adolescent Brain Cognitive Development Study (Year 2, 2018–2020; N = 8753). Multiple linear regression analyses were used to estimate associations between sociodemographic factors (age, sex, race/ethnicity, primary language, household income, parental education) and adolescent-reported problematic video game (Video Game Addiction Questionnaire), social media (Social Media Addiction Questionnaire), and mobile phone use (Mobile Phone Involvement Questionnaire).ResultsBoys reported higher problematic video game use while girls reported higher problematic social media and mobile phone use. Native American, black, and Latinx adolescents reported higher scores across all problematic screen measures compared to non-Latinx white adolescents. Having unmarried/unpartnered parents was associated with higher problematic social media use. Although higher household income was generally protective against problematic video game use, these associations were weaker for black than white adolescents (p for interaction <0.05).ConclusionsGiven the sociodemographic differences in problematic screen use, digital literacy education strategies can focus on at-risk populations, encourage targeted counseling by pediatricians, and adapt family media use plans for diverse backgrounds.ImpactWhile sociodemographic differences in screen time are documented, we examined sociodemographic differences in problematic screen use in a large, diverse sample of early adolescents in the US.Boys reported higher problematic video game use while girls reported higher problematic social media and mobile phone use.Native American, black, and Latinx adolescents reported higher scores across all problematic screen measures compared to non-Latinx white adolescents.Although higher household income was generally protective against problematic video game use, these associations were weaker for black than white adolescents.Beyond time spent on screens, pediatricians, parents, and educators should be aware of sociodemographic differences in problematic screen use.

Nomophobia and Phubbing: Wellbeing and new media education in the family among adolescents in Bosnia and Herzegovina

Nomophobia and Phubbing are negative phenomena linked to the proliferation of smartphones as well as unlimited Internet access. Individual and social changes in behaviour determined by the ubiquity of smartphones necessitate an analysis of these two types of problematic Internet use. Both types of behaviour are particularly noticeable among adolescents. The aim of this article is to show the extent of nomophobia and phubbing among adolescents in Bosnia and Herzegovina, and to link these phenomena to wellbeing and the influence of the family on the style of smartphone use among young people. The research was conducted in the first half of 2021 among adolescents aged 12–18 years (N = 1083) using a triangulation of survey questionnaires such as NMP-Q The Nomophobia Questionnaire and Mobile Phone Involvement Questionnaire, Phubbing scale, and the Wellbeing level, as well as new media parenting style in the family. From the data collected, it was noted that: 1) Thinking about the phone while bored and not being able to 'keep in contact with members of the social circle are the most common factors of nomophobia; 2) About 1/3 of the respondents declare having symptoms of nomophobia; 3) More than 2/3 of teenagers have a phone in their environment all of the time; 4) Every fourth teenager very often receives negative comments from their immediate peers due to the style of smartphone use; 5) Smartphone use in the vicinity of other people is the norm for teenagers - an acceptable behaviour in contrast to the perception of this situation among some groups of adults; 6) Only 9.87% of adolescents have a high saturation of phubbing; 7) Most indicators related to nomophobia and phubbing are more frequent among girls than boys; 8) Only 16.43% of parents use dialogue methods related to education about new media; 9) Over 60% of parents do not employ any methods to reduce selected forms of problematic use of smartphones; 10) Parents are more active in educating younger than older adolescents about new media; 11) Satisfaction with activities in the offline sphere is a protective factor for phubbing.

Effects of Electronic Devices and Internet Addiction on Sleep and Academic Performance Among Female Egyptian and Saudi Nursing Students: A Comparative Study.

IntroductionThe widespread availability of Internet access and increasing rate of electronic device usage has helped enlighten the world community through copious applications, information resources, and other benefits. However, both the lack of controlled behavior and excessive Internet usage have resulted in a variety of difficulties that can hinder user achievement in many areas.ObjectivesThis study investigated the prevalence of Internet and electronic device addiction among Egyptian and Saudi nursing students, with the aim of identifying any effects on sleep and academic performance.MethodsA cross-sectional comparative research design was employed among a systematic random sample comprised of 920 Egyptian and Saudi female nursing students. All participants completed the Young-Internet Addiction Test (IAT), Mobile Phone Involvement Questionnaire (MPIQ), and Epworth Sleepiness Scale (ESS).ResultsSevere Internet Addiction (IA) detected in 42.69% and 10.31% of Saudi and Egyptian participants, respectively. However, Saudi participants were more likely to report high rates of mobile phone usage (P < 0.001), while Egyptian participants tended to score higher on the ESS (17.47 ± 3.99 vs. 16.8 ± 3.83; P = 0.024). For all participants, IAT and MPIQ scores were correlated with ESS results, while IA was specifically associated with poor academic performance. Finally, MPIQ scores were inversely correlated with academic performance for Saudi participants.ConclusionSmartphone and Internet addiction were notable problems for the Egyptian and Saudi nursing students investigated in this study. Importantly, these conditions adversely affect academic performance and other activity engagement in addition to inducing excessive daytime sleepiness.

Testing the Bidirectional Associations of Mobile Phone Addiction Behaviors With Mental Distress, Sleep Disturbances, and Sleep Patterns: A One-Year Prospective Study Among Chinese College Students.

BackgroundMobile phone addiction behaviors (MPAB) are extensively associated with several mental and sleep problems. Only a limited number of bidirectional longitudinal papers have focused on this field. This study aimed to examine the bidirectional associations of MPAB with mental distress, sleep disturbances, and sleep patterns.MethodsA total of 940 and 902 (response rate: 95.9%) students participated at baseline and one-year follow-up, respectively. Self-reported severity of mobile phone addiction was measured using Mobile Phone Involvement Questionnaire (MPIQ). Mental distress was evaluated by using Beck Depression Inventory (BDI) and Zung Self-Rating Anxiety Scale (SAS). Sleep disturbances were assessed by using Insomnia Severity Index (ISI), Pittsburgh Sleep Quality Index (PSQI), and Epworth Sleepiness Scale (ESS). Sleep patterns were evaluated by using reduced Morningness-Eveningness Questionnaire (rMEQ), weekday sleep duration, and weekend sleep duration.ResultsCross-lagged analyses revealed a higher total score of BDI, SAS, and ISI predicted a greater likelihood of subsequent MPAB, but not vice versa. We found the bidirectional longitudinal relationships between MPAB and the total score of PSQI and ESS. Besides, a higher score of MPIQ at baseline predicts a subsequent lower total score of rMEQ and shorter weekday sleep duration.ConclusionsThe current study expands our understanding of causal relationships of MPAB with mental distress, sleep disturbances, and sleep patterns.

Validity and reliability of the Chinese version of Mobile Phone Involvement Questionnaire in college students

To test the validity and reliability of the Chinese version of Mobile Phone Involvement Questionnaire (MPIQ) in college students. We assessed the degree of phone dependence using the MPIQ among 2122 college students. One month later, 60 students were randomly selected for assessment with the MPIQ, and the ROC curve was generated to evaluate the true positive rate (sensitivity) and false positive rate at different cutoff values to determine the optimal cutoff score of the MPIQ. Among 98.9% of the participants who finished all the items, their MPIQ scores show a positive skew distribution and a one-factor structure. The load scores of the items ranged from 0.54 to 0.77. The Cronbach's α coefficient and the Spearman Brown split reliability were 0.84 and 0.83, respectively, the correlation coefficients between the items and total score ranged from 0.54 to 0.76, and the test-retest reliability was 0.48 (P &lt; 0.001). At the optimal cut-off score of 32, the sensitivity and the specificity of the MPIQ were 0.634 and 0.652, respectively. At the optimal cut-off score of 32, the MPIQ has good validity and reliability for assessing phone dependence among college students.

Perceived stress and resilience and their relationship with the use of mobile phone among nursing students.

Objective. The study sought to explore the relationship between levels of stress and resilience with the use of the mobile phone in nursing students. Methods. Cross-sectional study conducted with 102 nursing students from several Nursing schools in India who were invited to participate in the research. The data were gathered by using the following instruments: Perceived Stress Scale (PSS) by Cohen, The Connor-Davidson Resilience scale (CD-RISC), and Mobile Phone Involvement Questionnaire (MPIQ) by Walsh.Results. Most of the participants were women (94.1%), studying in the undergraduate (70.6%), with a mean age of 25.2 years. In all, 77.5% of the students had stress perception between moderate and high, 20.6% had high resilience capacity, and 25.5% were frequent mobile phone users. Perceived stress was correlated significantly and negatively with age and resilience capacity. Graduate students had greater capacity to recover than undergraduate students. Conclusion. This study indicates the negative relation of resilience capacity with stress and the use of mobile phones among nursing students. Hence, it is necessary for institutions preparing nurses to develop intervention strategies to enhance the resilience capacity, improve skills to manage stress, and healthy use of the mobile phone.

Mobile phone involvement, beliefs, and texting while driving in Ukraine

There is extensive evidence that using a mobile phone whilst driving is one of the biggest contributors to driver distraction, which in turn increases the risk of motor vehicle collisions. Whilst most of the developed countries have been trying to deter this behaviour through legislation, enforcement and educational campaigns, in Ukraine, where the road fatality rate is the highest in Europe, this issue has only recently become publicised. The present study examined psychological factors that are associated with hand-held mobile phone use while driving among a sample of Ukrainian drivers, in particular writing or reading a text message while driving. This included drivers’ behavioural, normative, and control beliefs relating to mobile phone use while driving, as well as the degree to which using a mobile phone is integral to one’s everyday life (measured using the Mobile Phone Involvement Questionnaire; MPIQ). Almost one quarter to one third of the sample reported using their phone on a daily basis to write (22.2%) or read (38.2%) text messages while driving. A binary logistic regression showed that gender, higher MPIQ scores, perceived approval from family members, lower perceived likelihood of receiving traffic fines and less demanding traffic conditions were all significantly associated with mobile phone use while driving. These results suggest that dependence upon a mobile phone in everyday life may be an important factor to consider when developing interventions to reduce hand-held mobile phone use while driving.

Mobile phone involvement and dependence among undergraduate medical students in a Medical College of West Bengal, India.

INTRODUCTION:Mobile phone dependence has become an emerging public health problem. This cross-sectional study was conducted to find out the mobile phone involvement and dependence among undergraduate medical students in a Medical College of West Bengal, India.MATERIALS AND METHODS:A study was conducted at IQ City Medical College, Durgapur, District Burdwan, West Bengal, India, during July–August 2015 among 252 undergraduate medical students. Involvement and dependence were elicited by mobile phone involvement questionnaire (MPIQ) and mobile phone dependence questionnaire (MPDQ), respectively. Statistical Package for the Social Sciences (SPSS) software (version 19.0) was used for analysis.RESULTS:About 14.9% of students were being highly involved with their mobile phone. The mean score of MPIQ was greatest in domain 5, i.e. euphoria followed by domain 2, i.e. behavioral salience and then domain 4, i.e. conflict with other activities. About 19.4% of males and 11.1% of females had high dependence. Mean MPDQ score was higher among males, though it was not significant statistically. Sex, total recharge, and total hours spent on mobile phone could explain between 2.2% and 3.8% variance of the presence of dependence in binary logistic regression. Total recharge (adjusted odds ratio 1.144) and total hours spent on mobile (adjusted odds ratio 1.135) were positively associated with the presence of dependence.CONCLUSION:Many students were highly involved and dependent on mobile phone and they had already been experiencing some health-related problems. There is a need to identify students having high involvement and dependence so as to generate adequate awareness and plan educational or treatment interventions accordingly.

Exploratory investigation of theoretical predictors of nomophobia using the Mobile Phone Involvement Questionnaire (MPIQ)

Despite the advantages that the development of new technologies has brought to our lives, it is also true that the problematic use of technology can have negative effects on some people, as the prevalence of nomophobia, defined as the fear and anxiety of being unreachable via one's mobile phone. While some authors are beginning to study the relationship of nomophobia with variables such as age, no investigation has yet been carried out into psychological variables. Our study contributes to the literature by looking at personality, self-esteem, gender and age as predictors of nomophobia, evaluated by the Mobile Phone Involvement Questionnaire (MPIQ). The study comprised 242 Spanish students (46.7% men and 53.3% women; 49.2% studying for a high school certificate and 50.8% for a university degree). Multiple regressions were conducted, finding that self-esteem, extraversion, conscientiousness and emotional stability predict nomophobia. Finally, we discuss these results and provide suggestions for future research.

Technology Use and Sleep Quality in Preadolescence and Adolescence.

The purpose of this study was to analyze differences between preadolescents and adolescents on the use of technology and to test the contribution of using Internet and mobile phone, and circadian preference on sleep quality. We recruited a sample of 850 (364 males) preadolescents and adolescents. Self-report questionnaires about sleep schedule, sleep wake behavior problems, circadian preferences, and the use of technology (e.g., Internet and mobile phone) were administered. Students were asked to fill out the School Sleep Habits Survey, a self-report questionnaire on the use of technology, the Mobile Phone Involvement Questionnaire (MPIQ), and the Shorter Promis Questionnaire (SPQ). Adolescents reported more sleep problems, a tendency toward eveningness, and an increase of Internet and phone activities, as well as social network activities, while preadolescents were more involved in gaming console and television viewing. The regression analysis performed separately in the two age groups showed that sleep quality was affected by the circadian preference (eveningness) in both groups. Adolescents' bad sleep quality was consistently associated with the mobile phone use and number of devices in the bedroom, while in preadolescents, with Internet use and turning-off time. The evening circadian preference, mobile phone and Internet use, numbers of other activities after 21:00, late turning off time, and number of devices in the bedroom have different negative influence on sleep quality in preadolescents and adolescents.

Models of Attachment On the Web

Background Adolescents with a problematic use of the Web reported less satisfaction also in interpersonal relationships and poorer onces with their parents (Liu & Kou, 2007). Other studies have shown that attachment plays a role in the way in which the person interacts with others in the network (Buote et.al. 2009). Aim of the Study This study was focused on the psychological profile of a sample of young Facebook users and on the relationships between the time spent on the Web, symptoms detected by the SLC-90, the state of attachment (Ca-Mir), and the self perception of attachment to parents and friends. Methods 500 adolescents (F = 221, M = 214), aged between 13 and 18 years, were assessed by means of self rating questionnaires (BFAS Over-Bergen Facebook Addiction Scale, SPQ – Shorter Promis Questionnaire, MPIQ – Mobile Phone Involvement Questionnaire, UCLA – Loniless Scale, Self-Disclosure Online, IPPA – Inventory of Parent and Peer Attachment, SCL-90 – Syntom Check List, Ca-mir). On two subjects was performed EEG recording, during exposure to stimuli related to Facebook and to the Web. Results A subgroup of young people were spending more time on the Web and were also reporting situations of mental and emotional vulnerability asociated with dysfunction in family relationships. Conclusions These results emerge from profiles of normality and risk, even multiples, which relate the quality of parent-child attachment relationship and the proper use of social networks and the Internet in general. Further investigations are needed to fully understand the brain dynamics behind these profiles.

Constantly connected – The effects of smart-devices on mental health

A number of studies have demonstrated the mental health implications of excessive Internet-browsing, gaming, texting, emailing, social networking, and phone calling. However, no study to date has investigated the impact of being able to conduct all of these activities on one device. A smart-device (i.e., smart-phone or tablet) allows these activities to be conducted anytime and anywhere, with unknown mental health repercussions. This study investigated the association between smart-device use, smart-device involvement and mental health. Two-hundred and seventy-four participants completed an online survey comprising demographic questions, questions concerning smart-device use, the Mobile Phone Involvement Questionnaire, the Internet Addiction Test and the Depression, Anxiety and Stress Scales. Higher smart-device involvement was significantly associated with higher levels of depression and stress but not anxiety. However, smart-device use was not significantly associated with depression, anxiety or stress. These findings suggest that it is the nature of the relationship a person has with their smart-device that is predictive of depression and stress, rather than the extent of use.

EPA-1276 – Internet use and abuse: attachment and new forms of psychopathology

DSM 5 (2013) solicits more empirical data on Internet Addiction (IA) before its inclusion in the Manual. The objective of the present study was to deepen the relation between internet use and abuse among adolescents and attachment variables. AIMS The aim of the study was to define a psychological profile of adolescents that may enable to discriminate the variables that mark the border between internet use and abuse. 435 adolescents (F=221; M=214) aged 13 to 18 years (mean=15,25; S.D.=1,75) completed the following measures: BFAS - The Bergen Facebook Addiction Scale (Andreassen, et. Al. 2012); SPQ - Shorter Promis Questionnaire (Italian adaptaation Baiocco et.al. 2005); MPIQ - Mobile Phone Involvement Questionnaire (Walsh et.al., 2010); UCLA - Loniless Scale (Russel, 1996); Self Disclosure Online (Schouten et.al. 2007); IPPA – Inventory of Parent and Peer Attachment (Armsed e Greenberg, 1989; SCL-90 - Symptom Check List (Derogatis, 1980) Camir (Pierrehumbert 1996). Data showed that ‘digital’ identity is common within the new multitasking generation of not-clinical adolescents, whereas internet abuse is linked to psychic vulnerability and to emotional neglect. Attachment security, as manifested by secure perception of attachment to parents and friends, the capacity to express emotions, the ability to balance online and offline friendships and psychological wellbeing predict an adequate use of Facebook, preventing internet abuse.

Needing to connect: The effect of self and others on young people's involvement with their mobile phones

The present research was a preliminary examination of young Australians' mobile phone behaviour. The study explored the relationship between, and psychological predictors of, frequency of mobile phone use and mobile phone involvement conceptualised as people's cognitive and behavioural interaction with their mobile phone. Participants were 946 Australian youth aged between 15 and 24 years. A descriptive measurement tool, the Mobile Phone Involvement Questionnaire, was developed. Self-identity and validation from others were explored as predictors of both types of mobile phone behaviour. A distinction was found between frequency of mobile phone use and mobile phone involvement. Only self-identity predicted frequency of use whereas both self-identity and validation from others predicted mobile phone involvement. These findings reveal the importance of distinguishing between frequency of use and people's psychological relationship with their phone and that factors relating to one's self-concept and approval from others both impact on young people's mobile phone involvement.