Exploring depression and problematic internet use among college females: A multisite study

ObjectiveThe purpose of this study was to assess associations between depression and problematic internet use (PIU) among female college students, and determine whether Internet use time moderates this relationship.MethodThis cross-sectional survey included 265 female college students from four U.S. universities. Students completed the Patient Health Questionnaire-9 (PHQ-9), the Problematic and Risky Internet Use Screening Scale (PRIUSS) and self-reported daily Internet use. Analyses included multivariate analysis of variance and Poisson regression.ResultsParticipants reported mean age of 20.2 years (SD = 1.7) and were 84.9% Caucasian. The mean PHQ-9 score was 5.4 (SD = 4.6); the mean PRIUSS score was 16.4 (SD = 11.1). Participants’ risk for PIU increased by 27% with each additional 30 min spent online using a computer (RR = 1.27, 95% CI: 1.14–1.42, p < .0001). Risk for PIU was significantly increased among those who met criteria for severe depression (RR = 8.16 95% CI: 4.27–15.6, p < .0001). The PHQ-9 items describing trouble concentrating, psychomotor dysregulation and suicidal ideation were most strongly associated with PIU risk.ConclusionsThe positive relationship between depression and PIU among female college students supports screening for both conditions, particularly among students reporting particular depression symptoms.     

Problematic internet use among older adolescents: A conceptual framework

Problematic internet use (PIU) is of growing significance to adolescent health, but lacks a strong conceptual framework to guide ongoing work. We used Concept Mapping methodology to construct a theoretical framework describing PIU. This validated approach includes five steps: preparation, generation (brainstorming), structuring (sort and rank), representation (statistical analysis) and interpretation (focus groups). Analysis included hierarchical cluster analysis over the overall square similarity matrix to determine a cluster map. A total of 193 college students participated in one or more phases of the study. Students were from 13 universities across 10 states, had an average age of 19.4 years (SD = 1.8), were 67% female and 77% Caucasian. A total of 20 health professionals participated. The seven clusters depicted on the PIU Concept Map include: psychosocial risk factors, physical impairment, emotional impairment, social/functional impairment, risky internet use, impulsive internet use and internet use dependence. The stress value for the fit of the multidimensional solution to the structuring data was 0.28, indicating adequate fit. The concept map may be used towards development of a future comprehensive model of PIU as well as scale development efforts.     

Incidence and correlates of pathological Internet use among college students

This study surveyed 277 undergraduate Internet users, a population considered to be high risk for pathological Internet use (PIU), to assess incidence of PIU as well as characteristics of the Internet and of users associated with PIU. Pathological use was determined by responses to 13 questions which assessed evidence that Internet use was causing academic, work or interpersonal problems, distress, tolerance symptoms, and mood-altering use of the Internet. Approximately one-quarter of students (27.2%) reported no symptoms (NO) while 64.7% reported one to three symptoms (Limited Symptoms) and 8.1% reported four or more symptoms (PIU). Based on popular stereotypes as well as previous research, it was predicted that pathological Internet users would more likely be males, technologically sophisticated, use real-time interactive activities such as online games and chat lines, and feel comfortable and competent online. Further, it was hypothesized that pathological users would be more likely to be lonely and to be socially disinhibited online. Partial confirmation of this model was obtained. Pathological users were more likely to be males and to use online games as well as technologically sophisticated sites, but there was no difference in Internet Relay Chat use. Although reported comfort and competence with the Internet was in the expected direction, differences were not significant. Pathological users scored significantly higher on the UCLA Loneliness Scale, and were socially disinhibited online.     

Engaging college science students and changing academic achievement with technology: A quasi-experimental preliminary investigation

Can modern, computer-based technology engage college students and improve their academic achievement in college? Although numerous examples detail technology’s classroom uses, few studies empirically examine whether technologically oriented pedagogical changes factually lead to positive outcomes among college students. In this pilot study, we used a quasi-experimental design to examine whether a technology enhanced research methods classroom led to increased student engagement and academic achievement among college students. Two features generally characterized the technology enhanced classroom experience: specific feedback generated from recordings of small group discussions and podcasts of class recordings. Technology enhanced classroom students demonstrated statistically significant increases in student engagement and improved academic achievement. These findings support previous efforts to use technology to enhance engagement and achievement among college students and they encourage future efforts.     

Problematic internet use and study motivation in higher education

The current study explored the relationship between problematic internet use (PIU) and motivation to learn, and examined psychological and social factors mediating this relationship. Two hundred and eighty-five students in an Italian University were recruited for the current study. There was a negative relationship between PIU and motivation to study: a negative impact on learning strategies, meaning that the students found it harder to organize their learning productively; and PIU also positively associated with test anxiety. The current results also demonstrated that there was partial mediation of this effect of PIU on learning strategies in terms of loneliness. This suggest at those with high levels of PIU may be particularly at risk from lower motivations to study, and, hence, lower actual generalized academic performance due to a number of consequences of PIU.     

Cross-lagged relationships between problematic Internet use and lifestyle changes

Cross-lagged analysis of panel survey data collected from Taiwanese college students (initially 387 males and 370 females) was used to examine the temporal relationship between problematic Internet use (PIU) and lifestyle changes during the first year in college. We hypothesized that a reciprocal relationship might exist between PIU and lifestyle changes. Structural equation modeling was adopted to test several nested cross-lagged relationship models. The results showed that four measures of lifestyle changes and PIU were moderately to highly stable across one year. Moreover, PIU in freshman year predicted negative changes in lifestyle in the following year, including a reduction of physical and social activities, irregular diet and unhealthy sleep. Lifestyle changes in freshman year, in contrast, did not predict PIU in sophomore year; the hypothesized reciprocal relationship between PIU and lifestyle changes was not warranted. Implications and limitations are discussed.     

Problematic Internet use and psychosocial well-being: development of a theory-based cognitive–behavioral measurement instrument

The paper presents results from an exploratory study that: (1) developed a theory-based measure of PIU and (2) administered the instrument to a sample of undergraduate students to assess the associations among PIU and several psychosocial variables including, depression, self-esteem, loneliness, and shyness. A new instrument, the Generalized Problematic Internet Use Scale (GPIUS) was designed to operationalize Davis's [Computers in Human Behavior, 17 (2001), 187] theoretical construct of generalized PIU. The GPIUS and several measures of psychosocial well-being were administered to 386 undergraduate students. Results from this preliminary study indicate that the GPIUS is both reliable and valid. A factor analysis identified seven unique sub-dimensions of the GPIUS, including: mood alteration, perceived social benefits available online, negative outcomes associated with Internet use, compulsive Internet use, excessive amounts of time spent online, withdrawal symptoms when away from the Internet, and perceived social control available online. All GPIUS subscales were correlated with psychosocial health variables including: depression, loneliness, shyness, and self-esteem. A regression analysis identified several important psychosocial and cognitive–behavioral predictors of negative outcomes associated with generalized PIU. Results also suggest that one's preference for computer-mediated social interaction, as opposed to face-to-face interaction, plays a role in the etiology, development, and outcomes of generalized PIU.     

Internet use and multitasking among older adolescents: An experience sampling approach

Internet use is challenging for individuals to quantify and describe. Previous internet use studies have relied on self-report measures, which may be subject to recall bias. This studied aimed to assess college student internet use using a real-time methodology, experience sampling method (ESM). Undergraduate students participated in a 7-day ESM campaign using text message surveys sent at 6 random times each day. Survey questions evaluated current internet use time and activities. Analyses included hierarchical clustering analysis, multilevel and probability modeling. Among the 189 participants, mean age was 18.9 (SD = 0.9), 58.8% were female and most were Caucasian (90.5%). The modeled average total amount of daily internet time was 56 min, 95% CI [51, 62]. The correlation between self-reported internet use time and ESM data was 0.31 (p < 0.001). Over half of the time participants were on the internet they reported multitasking (56.5%, 95% CI [52.7%, 60.4%]). Study findings suggest that multitasking is frequent among college students, which may explain over-reported internet use.     

Problematic internet use,psychopathology, personality,defense and coping

Many international studies in the field of Internet use and Problematic Internet Use (PIU) have shown strong and frequent relationships with psychopathology. However, few researches have investigated the relationships between PIU and personality variables such as defense, coping and pathological traits. The aim of the present study was to explore the rate of PIU among French users and its relationships with psychopathological (depressive symptoms, self-esteem, pathological personality traits) and psychological variables (defense mechanisms and coping strategies). A sample of 786 participants, aged between 18 and 35 years old (M = 23.7; SD = 4.5) has been recruited online and completed several scales assessing PIU, time spent online, socio demographic, psychological and psychopathological variables. More than 20% of the sample had PIU. Compared to non-problematic users, they had significant higher scores of all personality disorder clusters, non-adaptive coping and depressive symptoms. Among the total sample, PIU was predicted by Clusters B and C personality traits, immature and autistic fantasy defense styles, non-adaptive coping strategies and depressive symptoms. Significant gender differences have been retrieved. Psychological and psychopathological variables, including personality traits should be further explored, and gender differences always taken into account when assessing PIU.     

Psychometric validation of the Generalized Problematic Internet Use Scale 2 in a Portuguese sample

The Generalized Problematic Internet Use Scale 2 (GPIUS2) assesses individuals’ generalized problematic Internet use (PIU) cognitions, behaviors, and negative outcomes. To date, the GPIUS2 has only been validated in English, Spanish, German, and Italian language. Therefore, the aim of this study was to validate a Portuguese version of the GPIUS2 and provide a taxonomy of the potential risk of PIU among participants. A sample of 641 Portuguese-speaking Internet users was recruited online after a process of translation and back-translation of the original GPIUS2. In-depth validity and reliability analyses were conducted alongside latent profile analysis (LPA) to identify the potential risk of PIU of participants. The validity and reliability analyses revealed adequate results concerning the psychometric properties of the Portuguese GPIUS2. According to the LPA results, participants were classed as “low risk” (n = 289, 46.7%), “medium risk” (n = 256, 40.7%), and “high risk” (n = 77, 12.6%) of PIU with key differences emerging among the three classes. The present findings support the overall validity and usefulness of the Portuguese GPIUS2 and the results from the LPA may be potentially useful in informing practitioners currently working with clients struggling with PIU.     

How does the smartphone usage of college students affect academic performance?

The present study aims to investigate the effects of smartphone use by college students on their perceived academic performance. Using five hypotheses derived from the literature related to smartphone use, the initial model was set up for path analysis to reveal the relationships among variables regarding college students' smartphone use in the academic setting. Moreover, multiple group analyses were additionally conducted to verify whether students exhibited different relationships in the hypothesized model depending on their majors. The results from path analyses showed that all path coefficients were positive and statistically significant, which indicated that all five hypothesized paths were supported. Above all, the results from multiple group analysis showed that one path (from Behavioural Intention to Use Smartphone to Academic Performance) differed significantly across groups. The findings from the current study provide educational policymakers and educators with information on how smartphone utilization in learning activities influences students' academic performance.     

Academic self-efficacy and academic procrastination as predictors of problematic internet use in university students

Although computers and the internet, indispensable tools in people’s lives today, facilitate life on the one hand, they have brought new risks with them on the other. Internet dependency, or problematic internet use, has emerged as a new concept of addiction. Parallel to this increasing in society in general, it is also on the rise among university students and is widely believed to have a negative impact on their lives. The aim of this study was to investigate whether academic self-efficacy and academic procrastination can act as predictors of problematic internet use among university students. The study group consisted of 398 students attending education, medicine, architecture and economics programs at the Karadeniz Technical University in Turkey. The Problematic Internet Use Scale, Academic Self-efficacy Scale, Academic Procrastination Scale and a Personal Data Form were used as scaling instruments. Pearson’s correlation coefficient, multiple regression analysis, independent samples t-test and one-way ANOVA were used to analyze the data collected. The results show a significant negative correlation between academic self-efficacy and problematic internet use, while the relation between problematic internet use and academic procrastination was not statistically significant. Furthermore, academic self-efficacy was determined to be a significant predictor of problematic internet use. The results also show a significant difference in problematic internet use in terms of students’ programs, though levels of problematic internet use did not differ in terms of sex or ownership of a computer. These findings are discussed in the light of the relevant literature and some new directions for further studies are suggested.     

Toward a comprehensive theory of problematic Internet use: Evaluating the role of self-esteem,anxiety, flow,and the self-rated importance of Internet activities

Problematic Internet use (PIU) has long been a matter of public concern. Study 1 examined the correlates of a well-validated measure of Internet addiction [Young, K. S. (1998). Caught in the net. New York: John Wiley and Sons] with 315 students (39% male). Hierarchical regression analyses indicated that low self-esteem, unrealistic optimism, and the importance of 7-positive activities (I7PA) all contributed to the prediction of PIU. The inclusion of controls for aspects of Internet uses and demographic characters showed a clear distinction between PIU and frequent Internet use. Subjects who anticipated that negative outcomes were more likely to happen to them than to peers were none-the-less more likely to engage in PIU. The more important positive activities were, the greater the PIU. SEM model suggested that unrealistic optimism was best treated as part of PIU and that low self-esteem and the I7PA were the powerful predictors of PIU. Study 2 tested SEM models of psychosocial characteristics with 279 students (48% male). Anxiety and flow were added as predictors and the felt safety for social contacts was added to Global PIU following Caplan [Caplan, S. E. (2002). Problematic Internet use and psychosocial well-being: Development of a theory-based cognitive-behavioral measurement instrument. Computers in Human Behavior, 18, 553–575]. The more complex model provided excellent fit and showed that low self-esteem, anxiety, and the I7PA were positively related to PIU. The relationship both of flow and sensation-seeking was mediated by the 17PA. Research on the topic has been relatively atheoretical. We propose a theoretical template to guide future research on PIU.     

Studying online: evaluation of an online study environment

This study evaluates student use of an online study environment. Its purposes were to (1) determine if college students will voluntarily use online study tools, (2) identify characteristics of users and nonusers of the tools, and (3) determine if the use of online study tools relates to course achievement. Approximately 25% of students used the online tools for more than one hour before each of three examinations. In comparing use of the study tools provided, the largest number of students made use of the online lecture notes and the greatest amount of online study time was devoted to reviewing multiple choice questions. The perceived ease of access to the Internet differentiated tool users from nonusers. Study tool users scored higher on course examinations after accounting for measures of ability and study skill.     

Parent–adolescent communication,parental Internet use and Internet-specific norms and pathological Internet use among Chinese adolescents

Data were collected from 3556 Chinese junior and senior high school students to explore the associations between adolescent pathological Internet use (PIU) and parental variables, including parent–adolescent communication, parental Internet use and parental Internet-specific norms regarding adolescent Internet use. In particular, this study considered the different role of parental variables under two conditions: parental norms that were consistent or inconsistent with parents’ Internet use behaviors. The participants were asked to answer an anonymous questionnaire that included all mentioned factors. The results revealed an 11% rate of adolescent PIU, and hierarchical multiple regressions indicated that parent–adolescent communication predicted PIU negatively under both conditions. When parental norms were consistent with their Internet use behaviors, parental norms predicted adolescent PIU negatively; conversely, when parental norms were inconsistent with their Internet use behaviors, parental behaviors predicted adolescent PIU positively. Implications for family-based prevention and the limitations of this study are discussed.     

The use of ergonomic measures and musculoskeletal complaints among carpenters and pavers in a 4.5-year follow-up study

The primary aim of this follow-up study was to evaluate the association between the use of ergonomic measures and musculoskeletal complaints among construction workers during an informational campaign on sector level. A questionnaire was sent twice to a cohort of 914 Dutch carpenters and pavers, once in 2000 and once in 2005. Relative risks (RR) were calculated for the regular use of ergonomic measures and regular or sustained lower back and shoulder pain among workers at baseline and 4.5 years follow-up. The response percentages were 78% (n = 469) for carpenters and 64% (n = 202) for pavers. Regular use of specific ergonomic measures varied from 15–66% at baseline to 17–66% at follow-up. Four specific ergonomic measures showed a statistically significant increase in usage. Regular or sustained lower back and shoulder complaints among carpenters decreased from 38 to 34% (p = 0.07) and 24 to 22% (p = 0.18), respectively. Among pavers, lower back (34%) and shoulder (17 to 18%) complaints remained the same or increased. Regular use of a height-adjustable working platform was associated with a lower likelihood of shoulder complaints at baseline (RR = 0.68; 95% CI: 0.46–<1.00) and low back complaints at follow-up (RR = 0.66; 95% CI: 0.50–0.88) among carpenters. Also regular use of aids for handling heavy loads was associated with no shoulder complaints at baseline RR = 0.62 (95% CI: 0.40–0.97) among carpenters. In conclusion, despite a large informational campaign, regular use of ergonomic measures remained low in a 4.5 year period. Regular use of the majority of ergonomic measures was associated, although not statistically significantly, with a lower likelihood of lower back or shoulder complaints. It is recommended to select, apply and monitor powerful implementation strategies to ensure the use of effective ergonomic measures at construction sites.     

The impact of laptop-free zones on student performance and attitudes in large lectures

The goal of this study was to determine if laptop use in lecture negatively impacts learning outcomes of surrounding students taking notes on paper. Two sections of a large introductory biology course (>400 students/section) were zoned into a laptop-permitted and a laptop-free area. Two sections in which laptop users could sit anywhere served as the Control. There was no difference in the attendance (∼85%) or percentage of students using laptops (∼29%) between Zoned and Control sections. Academic performance, based on exam points earned, was not significantly different for paper users in Zoned and Control sections indicating laptop use did not impair the overall achievement of surrounding students. However, there was a correlation between exam performance and note taking preference: paper note takers scored significantly higher and laptop users scored significantly lower than predicted by pre-class academic indicators (p < 0.01, paired t-test). The majority of both laptop (64%) and paper users (82%) in the Zoned sections supported a policy restricting laptop use to specific areas. Thus, while we further investigate whether the relationship between laptop use and performance is correlative or causative, zoning is an effective method for accommodating both laptop users and paper note takers in the same lecture hall.     

The impact of laptop-free zones on student performance and attitudes in large lectures

The goal of this study was to determine if laptop use in lecture negatively impacts learning outcomes of surrounding students taking notes on paper. Two sections of a large introductory biology course (>400 students/section) were zoned into a laptop-permitted and a laptop-free area. Two sections in which laptop users could sit anywhere served as the Control. There was no difference in the attendance (∼85%) or percentage of students using laptops (∼29%) between Zoned and Control sections. Academic performance, based on exam points earned, was not significantly different for paper users in Zoned and Control sections indicating laptop use did not impair the overall achievement of surrounding students. However, there was a correlation between exam performance and note taking preference: paper note takers scored significantly higher and laptop users scored significantly lower than predicted by pre-class academic indicators (p < 0.01, paired t-test). The majority of both laptop (64%) and paper users (82%) in the Zoned sections supported a policy restricting laptop use to specific areas. Thus, while we further investigate whether the relationship between laptop use and performance is correlative or causative, zoning is an effective method for accommodating both laptop users and paper note takers in the same lecture hall.     

Social relationship on problematic Internet use (PIU) among adolescents in South Korea: A moderated mediation model of self-esteem and self-control

Despite previous research efforts on identifying the risk and protective factors of problematic Internet use (PIU), the specific mechanism among these factors are largely unknown. Thus, the present study examined the effect of adolescents’ social relationships on their PIU, as well as the effect of self-esteem as a mediator and the effect of self-control as a moderator. Survey data from 750 South Korean middle and high school students in Seoul and Gyeonggi areas were analyzed using structural equation modeling. The results are as follows. First, PIU is significantly associated with relationship with peers and with mother. Second, self-esteem did not mediate the effect of communication with mother on PIU, but was found to partially mediate the effect of peer relationship on PIU. Third, adolescents’ self-control significantly moderated the indirect effect of peer relationship on PIU via self-esteem. Through detailed analyses, this study identified self-esteem as a mediator and self-control as a moderator in the relationship between social relationships and PIU. Implications of these results for understanding the relationship among social relationships, self-esteem, self-control, and PIU are discussed.     

Musculoskeletal symptoms among mobile hand-held device users and their relationship to device use: A preliminary study in a Canadian university population

The study aims were, in a population of university students, staff, and faculty (n = 140), to: 1) determine the distribution of seven measures of mobile device use; 2) determine the distribution of musculoskeletal symptoms of the upper extremity, upper back and neck; and 3) assess the relationship between device use and symptoms. 137 of 140 participants (98%) reported using a mobile device. Most participants (84%) reported pain in at least one body part. Right hand pain was most common at the base of the thumb. Significant associations found included time spent internet browsing and pain in the base of the right thumb (odds ratio 2.21, 95% confidence interval 1.02–4.78), and total time spent using a mobile device and pain in the right shoulder (2.55, 1.25–5.21) and neck (2.72, 1.24–5.96). Although this research is preliminary, the observed associations, together with the rising use of these devices, raise concern for heavy users.