The DOI matches its Crossref record; 65 of the 65 references it cites were found in a registry or an index; none of the 94 sources its claims cite is checked for support yet.
Problematic Use of the Internet and Smartphones in University Students: 2006–2017
Open accessPublished version of a preprint
Abstract
It has been more than a decade since a concern about the addictive use of the Internet and mobile phones was first expressed, and its possible inclusion into the lists of mental disorders has recently become a popular topic of scientific discussion. Thus, it seems to be a fitting moment to investigate the prevalence of this issue over time. The aim of the present study was to analyze the prevalence of the perception of problematic Internet and smartphone use in young people over the period 2006–2017. To this end, a questionnaire on Internet use habits and two questionnaires on the negative consequences of Internet and smartphone use were administered to a sample of 792 university students. The scores were then compared with the results of former studies that had used these questionnaires. The perception of problematic Internet and mobile phone use has increased over the last decade, social networks are considered responsible for this increase, and females are perceived to be more affected than males. The current study shows how strong smartphone and Internet addiction and social media overlap. Participants from 2017 report higher negative consequences of both Internet and mobile phone use than those from 2006, but long-term observations show a decrease in problematic use after a sharp increase in 2013. We conclude that the diagnosis of technological addictions is influenced by both time and social and culture changes.
Overview
AI snapshot
Written from the paper’s full text.
TL;DR
This study compared 2017 survey data from 792 Spanish university students with earlier cohorts from 2006–2017 using the CERI and CERM to track perceived problematic Internet and smartphone use. Perceived negative consequences rose from 2006 to 2013, then declined by 2017, with social network use and female gender linked to higher perceived smartphone-related problems.
Key findings
- In the 2017 cohort, the mean CERI score was 18.04 (SD = 4.50) and the mean CERM score was 15.77 (SD = 3.50); the correlation between CERI and CERM was high (r = 0.76, p = 0.000).
- Problematic Internet use rose from 1.5% in 2005 to 6.4% in 2017, and problematic mobile phone use rose from 0.6% to 3.0%.
- 375 students (47.4%) agreed or strongly agreed with “I am addicted to the Internet,” and 73.2% answered that girls are more Internet-addicted than boys; those who strongly agreed scored significantly higher on both CERI and CERM (correlations 0.38 and 0.34, p < 0.001).
- Scores increased from 2006 to 2013, showed no significant 2013–2015 difference, then decreased from 2015 to 2017 (p < 0.001 for CERM; CERI decreased from 2013 to 2015 and 2015 to 2017, p < 0.001). Women had higher CERM scores but not CERI scores.
Methods
- Cross-sectional survey conducted in May 2017 with 792 Universitat Ramon Llull students (mean age 21.6 years, SD = 3.3; 76.5% women), compared with five prior cohorts from 2005–2016 in Spain, the United States, and Colombia.
- Instruments included an ad hoc sociodemographic and Internet-use habits questionnaire, the 10-item CERI, and the 10-item CERM, both using 4-point Likert scales and summed to a maximum of 40 points; Cronbach’s alpha was 0.76 for CERI and 0.73 for CERM in the present study.
- Analyses included Student’s t-tests, correlations, and a multiple analysis of variance for gender and year of questionnaire administration on CERI and CERM scores, with post-hoc Bonferroni pairwise comparisons.
Limitations
- Stated by the paper: university students are not representative of other young people; problematic use does not correspond to a diagnostic entity; CERI and CERM are self-report measures created before smartphones and should be updated; cultural differences between samples may influence differences more than time.
- Evident from the text: the design compares separate cohorts rather than following the same individuals longitudinally, and the samples differ by country, university, and year; the measures capture perceived problems, not clinical diagnoses.
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A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“females are perceived to be more affected than males”
- Also stated in: § 3.1. Results of the Present Study · plain
“To the question, “Do you think girls are more addicted to the Internet than boys?” 73.2% answered affirmatively.”
§ Problematic Use of the Internet and Smartphones in University Students: 2006–2017 > Abstract
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passes- Also stated in: § 3.1. Results of the Present Study · plain
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Table 4 shows that people who “strongly agreed” with the statement “I am addicted to the internet” obtained significantly higher results than the rest of the participants on both the CERI and the CERM.”
§ Problematic Use of the Internet and Smartphones in University Students: 2006–2017 > 3. Results > 3.1. Results of the Present Study
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The number of students who showed problematic Internet use went from 1.5% in 2005 to 6.4% in 2017 and from 0.6% to 3.0%, in the case of problematic mobile phone use.”
§ Problematic Use of the Internet and Smartphones in University Students: 2006–2017 > 3. Results > 3.2. Comparison between Present Study and Former Studies with CERM and CERI
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The mean CERI score was 18.04 (SD = 4.50), and the mean CERM score was 15.77 (SD = 3.50) for the whole cohort 6.”
§ Problematic Use of the Internet and Smartphones in University Students: 2006–2017 > 3. Results > 3.1. Results of the Present Study
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Regarding the self-assessment of whether they considered themselves addicted to the Internet, 375 students (47.4%) either agreed or agreed strongly with this statement.”
§ Problematic Use of the Internet and Smartphones in University Students: 2006–2017 > 3. Results > 3.1. Results of the Present Study
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesNone of the sources cited for this claim have been checked yet.
In the paper
“The activities in which the university students invest the least time are betting games and adult pages, like in other similar samples [17,45,46] and as is expected for university students.”
§ Problematic Use of the Internet and Smartphones in University Students: 2006–2017 > 4. Discussion
What the sources say
- Not checked yetcites [17] Kuss, 2017, Self-reported dependence on mobile phones in young adults: A European cross-cultural empirical survey, J. Behav. Addict. source
- Not checked yetcites [45] Griffiths, 2014, Is excessive online usage a function of medium or activity?, J. Behav. Addict. source
- Not checked yetcites [46] Pontes, 2015, The impact of Internet-based specific activities on the perceptions of Internet addiction, quality of life, and excessive usage: A cross-sectional study, Addict. Behav. Rep.
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Significant gender differences were found between all uses except for online purchases, viewing of TV series, movies or videos, and administrative tasks.”
§ Problematic Use of the Internet and Smartphones in University Students: 2006–2017 > 3. Results > 3.1. Results of the Present Study
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The number of students who showed problematic Internet use went from 1.5% in 2005 to 6.4% in 2017 and from 0.6% to 3.0%, in the case of problematic mobile phone use.”
§ Problematic Use of the Internet and Smartphones in University Students: 2006–2017 > 3. Results > 3.2. Comparison between Present Study and Former Studies with CERM and CERI
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“but long-term observations show a decrease in problematic use after a sharp increase in 2013”
§ Problematic Use of the Internet and Smartphones in University Students: 2006–2017 > Abstract
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passes- Rests on an assumption: The CERI and CERM scores are comparable across the different cohorts and years of assessment.
- Rests on an assumption: The compared cohorts differ primarily in year of assessment and not in other characteristics (e.g., country, university, degree composition) that could affect CERI/CERM scores.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The correlation between the CERI and the CERM was high (r = 0.76, p = 0.000).”
§ Problematic Use of the Internet and Smartphones in University Students: 2006–2017 > 3. Results > 3.1. Results of the Present Study
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passes
- It may state two separate claims as one. 43
- Probably not a substantial claim. 38
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The perception of problematic Internet and mobile phone use has increased over the last decade”
- Also stated in: § 4. Discussion · plain
“Taken globally, the results of the study support the idea that the perception of a problematic use of the Internet and mobile phones exists and has increased over the last decade (H1).”
§ Problematic Use of the Internet and Smartphones in University Students: 2006–2017 > Abstract
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
- Rests on an assumption: The CERI and CERM scores are comparable across the different cohorts and years of assessment.
- Rests on an assumption: The compared cohorts differ primarily in year of assessment and not in other characteristics (e.g., country, university, degree composition) that could affect CERI/CERM scores.
- Rests on an assumption: Self-reported perception of problematic Internet and smartphone use is a valid indicator of actual problematic use.
- Also stated in: § 4. Discussion · plain
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“To the question, “Do you think girls are more addicted to the Internet than boys?” 73.2% answered affirmatively.”
§ Problematic Use of the Internet and Smartphones in University Students: 2006–2017 > 3. Results > 3.1. Results of the Present Study
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“As can be seen, the increase of the perception of problematic Internet and smartphone use was stronger for females than for males, but as of 2017, both sexes had lower scores and tended to present the same degree of negative effects.”
§ Problematic Use of the Internet and Smartphones in University Students: 2006–2017 > 3. Results > 3.2. Comparison between Present Study and Former Studies with CERM and CERI
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“There were no significant differences either for gender or for the different major degrees (F(4, 787) = 1.24; p = 0.291 for the CERI, and F(4, 787) = 1.85; p = 0.116 for the CERM).”
§ Problematic Use of the Internet and Smartphones in University Students: 2006–2017 > 3. Results > 3.1. Results of the Present Study
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Post-hoc Bonferroni pairwise comparisons showed that scores for both CERM and CERI had increased from the first survey: there was, in fact, a significant difference between the 2006 scores and those of all the following surveys (p < 0.001 in all comparisons).”
§ Problematic Use of the Internet and Smartphones in University Students: 2006–2017 > 3. Results > 3.2. Comparison between Present Study and Former Studies with CERM and CERI
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Our results show that women use social networks and academic applications more and listen to more music than men.”
§ Problematic Use of the Internet and Smartphones in University Students: 2006–2017 > 4. Discussion
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The most frequent activities on the Internet were checking emails and sending messages, participating in social networks, and listening to music.”
§ Problematic Use of the Internet and Smartphones in University Students: 2006–2017 > 3. Results > 3.1. Results of the Present Study
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Men play more videogames and betting games and use more adult pages than women.”
§ Problematic Use of the Internet and Smartphones in University Students: 2006–2017 > 4. Discussion
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Women presented higher scores in the CERM, but not in the CERI.”
§ Problematic Use of the Internet and Smartphones in University Students: 2006–2017 > 3. Results > 3.2. Comparison between Present Study and Former Studies with CERM and CERI
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“As shown in Table 5, the scores in the CERI and CERM grew from 2005 to 2013 and remained stable during the 2013–2014 academic year.”
§ Problematic Use of the Internet and Smartphones in University Students: 2006–2017 > 3. Results > 3.2. Comparison between Present Study and Former Studies with CERM and CERI
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“However, between the 2013 and the following years, there was no significant difference between 2013 and 2015, and there was even a decrease of the negative effects between 2015 and 2017 (p < 0.001) with respect to the CERM; for the CERI, there was a decrease from 2013 to 2015 and from 2015 to 2017 (p < 0.001 in both cases).”
§ Problematic Use of the Internet and Smartphones in University Students: 2006–2017 > 3. Results > 3.2. Comparison between Present Study and Former Studies with CERM and CERI
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The correlation between CERI and CERM was “moderate” up to 2014 and increased to “high” as of 2015.”
§ Problematic Use of the Internet and Smartphones in University Students: 2006–2017 > 3. Results > 3.2. Comparison between Present Study and Former Studies with CERM and CERI
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The correlations between the different online functions and the CERI and CERM were mostly significant, but low, with the most relevant correlation being between social networks and both the CERI and the CERM (see Table 3).”
§ Problematic Use of the Internet and Smartphones in University Students: 2006–2017 > 3. Results > 3.1. Results of the Present Study
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The correlations with the CERI and CERM were 0.38 (p < 0.001) and 0.34 (p < 0.001), respectively.”
§ Problematic Use of the Internet and Smartphones in University Students: 2006–2017 > 3. Results > 3.1. Results of the Present Study
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The multivariate analysis of variance for the effects of gender and year of administration on CERI and CERM showed significant effects of both factors (except for gender on CERI) and also a combined effect (see Table 7).”
§ Problematic Use of the Internet and Smartphones in University Students: 2006–2017 > 3. Results > 3.2. Comparison between Present Study and Former Studies with CERM and CERI
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Although the Internet activities of men and women were different, there were no differences found in the problematic use of the Internet [53,54].”
§ Problematic Use of the Internet and Smartphones in University Students: 2006–2017 > 4. Discussion
What the sources say
- Not checked yetcites [53] Beranuy, 2009, Problematic Internet and mobile phone use and clinical symptoms in college students: The role of emotional intelligence, Comput. Hum. Behav. source
- Not checked yetcites [54] Casas, 2013, Validation of the Internet and Social Networking Experiences Questionnaire in Spanish adolescents, Int. J. Clin. Health Psychol. source
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“However, the perception of our students was that women are more addicted to the Internet than men probably because of the fact that using social networks is more common than using video games.”
§ Problematic Use of the Internet and Smartphones in University Students: 2006–2017 > 4. Discussion
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
In the paper
“Social network use is the only Internet use that moderately correlated with CERI and CERM. The other correlations, in line with other studies, were low or nonexistent [17].”
§ Problematic Use of the Internet and Smartphones in University Students: 2006–2017 > 4. Discussion
What the sources say
- Not checked yetcites [17] Kuss, 2017, Self-reported dependence on mobile phones in young adults: A European cross-cultural empirical survey, J. Behav. Addict. source
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“No differences were found between men and women in the problematic use of the mobile phone despite this being a frequent result in other investigations [15,17,40,53].”
§ Problematic Use of the Internet and Smartphones in University Students: 2006–2017 > 4. Discussion
What the sources say
- Not checked yetcites [15] 2015, Predictors of problematic Internet and mobile phone usage in adolescents, Aloma
- Not checked yetcites [17] Kuss, 2017, Self-reported dependence on mobile phones in young adults: A European cross-cultural empirical survey, J. Behav. Addict. source
- Not checked yetcites [40] Bolle, 2015, Modeling habitual and addictive smartphone behavior. The role of smartphone usage types, emotional intelligence, social stress, self-regulation, age, and gender, Comput. Hum. Behav.
- Not checked yetcites [53] Beranuy, 2009, Problematic Internet and mobile phone use and clinical symptoms in college students: The role of emotional intelligence, Comput. Hum. Behav. source
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“The average scores in the CERI were higher than in the CERM, as has been the case with these instruments in other studies [18,20,53].”
§ Problematic Use of the Internet and Smartphones in University Students: 2006–2017 > 4. Discussion
What the sources say
- Not checked yetcites [18] Beranuy, 2009, Validación de dos escalas breves para evaluar la adicción a Internet y el abuso de móvil, Psicothema
- Not checked yetcites [20] Panova, 2016, Avoidance or boredom: Negative mental health outcomes associated with use of Information and Communication Technologies depend on users’ motivations, Comput. Hum. Behav. source
- Not checked yetcites [53] Beranuy, 2009, Problematic Internet and mobile phone use and clinical symptoms in college students: The role of emotional intelligence, Comput. Hum. Behav. source
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Although the correlation of the CERI and CERM with the statement “I am addicted to the internet” was moderate, the participants who were “very much in agreement” and “agreed” with this statement obtained significantly higher results than the rest in both the CERI and the CERM.”
§ Problematic Use of the Internet and Smartphones in University Students: 2006–2017 > 4. Discussion
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Although men and women use the Internet differently, their problematic use of the Internet and mobile phones are quite similar.”
§ Problematic Use of the Internet and Smartphones in University Students: 2006–2017 > 5. Conclusions
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes? Based: unclearIt may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Young people are worried about the phenomenon”
§ Problematic Use of the Internet and Smartphones in University Students: 2006–2017 > 5. Conclusions
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✗ Based: failsProbably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
In the paper
“Other studies have also reported reliability indexes of 0.80 [41].”
§ Problematic Use of the Internet and Smartphones in University Students: 2006–2017 > 2. Materials and Methods > 2.2. Instruments
What the sources say
- Not checked yetcites [41] Oberst, 2017, Negative consequences from heavy social networking in adolescents: The mediating role of fear of missing out, J. Adolesc. source
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“For example, in 2015, in Spain, there was a clear preference for smartphones (88.2%) over computers (78.2%) for accessing the Internet, especially in 14–19 year olds.”
§ Problematic Use of the Internet and Smartphones in University Students: 2006–2017 > 1. Introduction
What the sources say
- Not checked yetcites [8] Fundación Telefónica (2016). La Sociedad de la Información en España 2016, Fundación Telefónica.
Strength:boosted· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“The study was approved by the Committee of Ethics and Research of the FPCEE Blanquerna, Universitat Ramon Llull.”
§ Problematic Use of the Internet and Smartphones in University Students: 2006–2017 > 2. Materials and Methods > 2.3. Procedure
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
None of the sources cited for this claim have been checked yet.
In the paper
“The term ‘Internet addiction’ or ‘smartphone addiction’ is not used consistently in the literature. A review shows the use of different expressions; there is, for instance, ‘digital addiction’ [25], ‘problematic Internet use’ [26], or ‘Internet-use disorder’ [27].”
§ Problematic Use of the Internet and Smartphones in University Students: 2006–2017 > 1. Introduction
What the sources say
- Not checked yetcites [25] Montag, 2016, Carpe diem instead of losing your social mind: Beyond digital addiction and why we all suffer from digital overuse, Cogent Psychol. source
- Not checked yetcites [26] Anderson, 2017, Internet use and Problematic Internet Use: A systematic review of longitudinal research trends in adolescence and emergent adulthood, Int. J. Adolesc. Youth source
- Not checked yetcites [27] Brand, 2016, Integrating psychological and neurobiological considerations regarding the development and maintenance of specific Internet-use disorders: An Interaction of Person-Affect-Cognition-Execution (I-PACE) model, Neurosci. Biobehav. Rev. source
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“In fact, the DSM-5 [4] included addiction to video games in the list of disorders that should receive further research.”
§ Problematic Use of the Internet and Smartphones in University Students: 2006–2017 > 1. Introduction
What the sources say
- Not checked yetcites [4] American Psychiatric Association (2013). Diagnostic and Statistical Manual of Mental Disorders (DSM-5), American Psychiatric Association. source
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
None of the sources cited for this claim have been checked yet.
In the paper
“However, studies on the addictive consequences of both the ‘old’ mobile phone [9,33,34,35,36], the current smartphone [22,24,37,38,39,40], and the Internet are cross-sectional, and therefore the temporal evolution of their addictive impact on the population is still unknown.”
§ Problematic Use of the Internet and Smartphones in University Students: 2006–2017 > 1. Introduction
What the sources say
- Not checked yetcites [9] Bianchi, 2005, Psychological predictors of problem mobile phone use, Cyberpsychol. Behav. source
- Not checked yetcites [33] Ha, 2008, Characteristics of excessive cellular phone use in Korean adolescents, Cyberpsychol. Behav. source
- Not checked yetcites [34] Jenaro, 2007, Problematic internet and cell-phone use: Psychological, behavioral, and health correlates, Addict. Res. Theory source
- Not checked yetcites [35] Labrador, 2010, Menores y nuevas tecnologías: Conductas indicadoras de posible problema de adicción, Psicothema
- Not checked yetcites [36] Otero, 2009, Factors associated with cell phone use in adolescents in the community of Madrid (Spain), Cyberpsychol. Behav. source
- Not checked yetcites [22] Kwon, M., Lee, J.Y., Won, W.Y., Park, J.W., Min, J.A., Hahn, C., Gu, X., Choi, J.H., and Kim, D.J. (2013). Development and validation of a Smartphone Addiction Scale (SAS). PLoS ONE, 8. source
- Not checked yetcites [24] Aljomaa, 2016, Smartphone addiction among university students in the light of some variables, Comput. Hum. Behav. source
- Not checked yetcites [37] Bian, 2015, Linking loneliness, shyness, smartphone addiction symptoms, and patterns of smartphone use to social capital, Soc. Sci. Comput. Rev. source
- Not checked yetcites [38] Mumcu, 2016, Modelling smartphone addiction: The role of smartphone usage, self-regulation, general self-efficacy and cyberloafing in university students, Comput. Hum. Behav. source
- Not checked yetcites [39] Lin, 2015, Time distortion associated with smartphone addiction: Identifying smartphone addiction via a mobile application (App), J. Psychiatr. Res. source
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“The reliability (Cronbach’s alpha) in the present study was 0.76; in the original study it was 0.77.”
§ Problematic Use of the Internet and Smartphones in University Students: 2006–2017 > 2. Materials and Methods > 2.2. Instruments
What the sources say
- Not checked yetcites [18] Beranuy, 2009, Validación de dos escalas breves para evaluar la adicción a Internet y el abuso de móvil, Psicothema
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
In the paper
“Ever since Young [1] presented Internet Addiction: the Emergence of a New Disorder at the Congress of the American Psychological Association in Toronto, Internet addiction has been a widely discussed disorder in the media and in scientific literature [2].”
§ Problematic Use of the Internet and Smartphones in University Students: 2006–2017 > 1. Introduction
What the sources say
- Not checked yetcites [2] Carbonell, 2009, A bibliometric analysis of the scientific literature on Internet, video games, and cell phone addiction, J. Med. Libr. Assoc. source
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“In the present study, Cronbach’s alpha was 0.73. Cronbach’s alpha in the original study was 0.80.”
§ Problematic Use of the Internet and Smartphones in University Students: 2006–2017 > 2. Materials and Methods > 2.2. Instruments
What the sources say
- Not checked yetcites [18] Beranuy, 2009, Validación de dos escalas breves para evaluar la adicción a Internet y el abuso de móvil, Psicothema
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“The participants had to click on a box to give their informed consent and continue with the study.”
§ Problematic Use of the Internet and Smartphones in University Students: 2006–2017 > 2. Materials and Methods > 2.3. Procedure
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“The interest in the possible addiction to the Internet, video games, online role-playing games, television, and mobile phones has given rise to a new field of study: technological addictions [3].”
§ Problematic Use of the Internet and Smartphones in University Students: 2006–2017 > 1. Introduction
What the sources say
- Not checked yetcites [3] Griffiths, 1995, Technological addictions, Clin. Psychol. Forum source
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
None of the sources cited for this claim have been checked yet.
In the paper
“Because of its popularity and because it is a relatively new device (compared to the “classical” mobile phone), the smartphone has raised concerns about its potential to be addictive [9,10,11,12] as happens with other possible behavioral addictions, such as those to the Internet or to social networking sites [13].”
§ Problematic Use of the Internet and Smartphones in University Students: 2006–2017 > 1. Introduction
What the sources say
- Not checked yetcites [9] Bianchi, 2005, Psychological predictors of problem mobile phone use, Cyberpsychol. Behav. source
- Not checked yetcites [10] Billieux, 2015, Can disordered mobile phone use be considered a behavioral addiction? An update on current evidence and a comprehensive model for future research, Curr. Addict. Rep. source
- Not checked yetcites [11] 2010, Mobile phone addiction: A point of issue, Addiction source
- Not checked yetcites [12] Pedrero, 2012, Adicción o abuso del teléfono móvil. Revisión de la literatura, Adicciones source
- Not checked yetcites [13] Carbonell, 2017, A critical consideration of social networking sites’ addiction potential, Addict. Res. Theory source
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
In the paper
“This evolution of preference for the phone over the computer was also observed for the accessing of leisure activities, which decreases the dominance of the computer in the professional and educational spheres [8].”
§ Problematic Use of the Internet and Smartphones in University Students: 2006–2017 > 1. Introduction
What the sources say
- Not checked yetcites [8] Fundación Telefónica (2016). La Sociedad de la Información en España 2016, Fundación Telefónica.
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“The negative consequences of this problem include the possible increase of stress, anxiety, and/or the “paradox” of a lack of communication, despite being more connected, especially among young people and adolescents [5,6,7].”
§ Problematic Use of the Internet and Smartphones in University Students: 2006–2017 > 1. Introduction
What the sources say
- Not checked yetcites [5] Lepp, 2015, Exploring the relationships between college students’ cell phone use, personality and leisure, Comput. Hum. Behav. source
- Not checked yetcites [6] Thomée, S., Härenstam, A., and Hagberg, M. (2011). Mobile phone use and stress, sleep disturbances, and symptoms of depression among young adults—A prospective cohort study. BMC Public Health, 11. source
- Not checked yetcites [7] Carbonell, 2012, Internet and mobile phone addiction: A review of empirical Spanish studies, Papeles Psicol.
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The term ‘addiction’ is probably adequate when related to specific types of use, such as addiction to gaming via the Internet or to pornography via the Internet.”
§ Problematic Use of the Internet and Smartphones in University Students: 2006–2017 > 4. Discussion
Strength:hedged· not yet calibratedTests✓ Asserted: passes✗ Checkable: fails✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. It may be too vague to check against evidence. The paper’s conclusions may not depend on it.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“It is also not surprising that the Internet uses of young men and women are quite different from each other as there are differences in behavior and attitudes between them in the real world which are perpetuated in the network (H2).”
§ Problematic Use of the Internet and Smartphones in University Students: 2006–2017 > 4. Discussion
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“The questionnaires used make it possible to detect a concern about certain technology-based behaviors but in no case to issue a clinical diagnosis.”
§ Problematic Use of the Internet and Smartphones in University Students: 2006–2017 > 4. Discussion
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim. It may state two separate claims as one.
In the paper
“In a recent research, the percentages ranged from 3.9% in Belgium to 1% in Poland, with 1.7% addicts identified in the Spanish sample [17].”
§ Problematic Use of the Internet and Smartphones in University Students: 2006–2017 > 4. Discussion
What the sources say
- Not checked yetcites [17] Kuss, 2017, Self-reported dependence on mobile phones in young adults: A European cross-cultural empirical survey, J. Behav. Addict. source
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“A preliminary comparison shows that the range of values for problematic users or addicts ranges between 0% and 35%, with 10–20% being the most frequent values [7,10,12], although there have been reports of 48% in university students [24].”
§ Problematic Use of the Internet and Smartphones in University Students: 2006–2017 > 4. Discussion
What the sources say
- Not checked yetcites [7] Carbonell, 2012, Internet and mobile phone addiction: A review of empirical Spanish studies, Papeles Psicol.
- Not checked yetcites [10] Billieux, 2015, Can disordered mobile phone use be considered a behavioral addiction? An update on current evidence and a comprehensive model for future research, Curr. Addict. Rep. source
- Not checked yetcites [12] Pedrero, 2012, Adicción o abuso del teléfono móvil. Revisión de la literatura, Adicciones source
- Not checked yetcites [24] Aljomaa, 2016, Smartphone addiction among university students in the light of some variables, Comput. Hum. Behav. source
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“This problematic use of the Internet is specific and not general; that is, it depends on the concrete activity that is carried out [45,46,47]. This can also be affirmed for mobile phones [17,48,49].”
§ Problematic Use of the Internet and Smartphones in University Students: 2006–2017 > 4. Discussion
What the sources say
- Not checked yetcites [45] Griffiths, 2014, Is excessive online usage a function of medium or activity?, J. Behav. Addict. source
- Not checked yetcites [46] Pontes, 2015, The impact of Internet-based specific activities on the perceptions of Internet addiction, quality of life, and excessive usage: A cross-sectional study, Addict. Behav. Rep.
- Not checked yetcites [47] Montag, 2015, Is it meaningful to distinguish between generalized and specific Internet addiction? Evidence from a cross-cultural study from Germany, Sweden, Taiwan and China, Asia-Pac. Psychiatry source
- Not checked yetcites [17] Kuss, 2017, Self-reported dependence on mobile phones in young adults: A European cross-cultural empirical survey, J. Behav. Addict. source
- Not checked yetcites [48] Jeong, 2016, What type of content are smartphone users addicted to? SNS vs. games, Comput. Hum. Behav. source
- Not checked yetcites [49] Griffiths, 2018, Conceptual issues concerning Internet addiction and Internet gaming disorder: Further critique on Ryding and Kaye (2107), Int. J. Ment. Health Addict. source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“In any case, women’s problematic use is greater (H3), probably as a consequence of their using social networks more than males and of the role that those social networks play in communication and in creating and maintaining connections [17,40,51].”
§ Problematic Use of the Internet and Smartphones in University Students: 2006–2017 > 4. Discussion
What the sources say
- Not checked yetcites [17] Kuss, 2017, Self-reported dependence on mobile phones in young adults: A European cross-cultural empirical survey, J. Behav. Addict. source
- Not checked yetcites [40] Bolle, 2015, Modeling habitual and addictive smartphone behavior. The role of smartphone usage types, emotional intelligence, social stress, self-regulation, age, and gender, Comput. Hum. Behav.
- Not checked yetcites [51] Sapacz, 2016, Are we addicted to our cell phones?, Comput. Hum. Behav. source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“However, despite the existence of problematic use, it seems that the term ‘addiction’ is an inadequate construct when used as simply “Internet addiction”, because: (i) the problematic use does not depend on the mobile phone or the Internet itself, but on the activities accessed on them; (ii) the problematic use can be the symptom of other disorders, not a primary disorder in itself [10,17]; (iii)”
§ Problematic Use of the Internet and Smartphones in University Students: 2006–2017 > 4. Discussion
What the sources say
- Not checked yetcites [10] Billieux, 2015, Can disordered mobile phone use be considered a behavioral addiction? An update on current evidence and a comprehensive model for future research, Curr. Addict. Rep. source
- Not checked yetcites [17] Kuss, 2017, Self-reported dependence on mobile phones in young adults: A European cross-cultural empirical survey, J. Behav. Addict. source
- Not checked yetcites [50] Billieux, 2015, Are we overpathologizing everyday life? A tenable blueprint for behavioral addiction research, J. Behav. Addict. source
Load-bearingStrength:hedged· not yet calibratedTests✓ Asserted: passes✗ Checkable: fails✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim. It may be too vague to check against evidence.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“It is difficult to compare our data on problematic mobile use with those of other prevalence studies because of the use of different measuring instruments.”
§ Problematic Use of the Internet and Smartphones in University Students: 2006–2017 > 4. Discussion
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“No personal information was requested, and it was not possible to connect any of the data from the questionnaires to academic records.”
§ Problematic Use of the Internet and Smartphones in University Students: 2006–2017 > 2. Materials and Methods > 2.3. Procedure
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“We conclude that the diagnosis of technological addictions is influenced by both time and social and culture changes.”
§ Problematic Use of the Internet and Smartphones in University Students: 2006–2017 > Abstract
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
- Rests on an assumption: The CERI and CERM scores are comparable across the different cohorts and years of assessment.
- Rests on an assumption: The compared cohorts differ primarily in year of assessment and not in other characteristics (e.g., country, university, degree composition) that could affect CERI/CERM scores.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“social networks are considered responsible for this increase”
§ Problematic Use of the Internet and Smartphones in University Students: 2006–2017 > Abstract
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✗ Based: failsProbably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
- Rests on an assumption: The CERI and CERM scores are comparable across the different cohorts and years of assessment.
None of the sources cited for this claim have been checked yet.
In the paper
“The first was focused on the non-smart mobile phone and was mainly due to two factors: the amount of phone bills that the use led to and the high use of text messages.”
§ Problematic Use of the Internet and Smartphones in University Students: 2006–2017 > 4. Discussion
What the sources say
- Not checked yetcites [6] Thomée, S., Härenstam, A., and Hagberg, M. (2011). Mobile phone use and stress, sleep disturbances, and symptoms of depression among young adults—A prospective cohort study. BMC Public Health, 11. source
- Not checked yetcites [9] Bianchi, 2005, Psychological predictors of problem mobile phone use, Cyberpsychol. Behav. source
- Not checked yetcites [34] Jenaro, 2007, Problematic internet and cell-phone use: Psychological, behavioral, and health correlates, Addict. Res. Theory source
- Not checked yetcites [36] Otero, 2009, Factors associated with cell phone use in adolescents in the community of Madrid (Spain), Cyberpsychol. Behav. source
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
- Rests on an assumption: Phone bills were a point of concern because a flat rate did not exist, and users needed a learning period to manage use within reasonable limits.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“we wonder if it is still convenient to use both the CERI and the CERM since, at the current time, both measures may be considered equivalent in the context of young people’s technology use”
§ Problematic Use of the Internet and Smartphones in University Students: 2006–2017 > 4. Discussion
Load-bearingStrength:hedged· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
- Rests on an assumption: When the CERM was designed, the mobile phones used by the participants did not have access to the Internet.
- Rests on an assumption: At present, there is not really a distinction between mobile phones and smartphones because they are considered synonymous.
- Rests on an assumption: Students who responded to the CERI 10 years ago did so thinking primarily about their connection to the Internet via their computer, whereas now they access the Internet indiscriminately from their mobile phones, other handheld devices, and home or university computer.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“From our point of view, the concern over mobile phone addiction came in two distinct waves.”
§ Problematic Use of the Internet and Smartphones in University Students: 2006–2017 > 4. Discussion
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“This question reveals to what extent the diagnosis of technological addictions is influenced by time and social and cultural change.”
§ Problematic Use of the Internet and Smartphones in University Students: 2006–2017 > 4. Discussion
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
In the paper
“Another point of concern was the number of text messages (i.e., for women: 11 or more calls or text messages per day, see Thomee, Dellve, Harenstam, Hagberg [6]).”
§ Problematic Use of the Internet and Smartphones in University Students: 2006–2017 > 4. Discussion
What the sources say
- Not checked yetcites [6] Thomée, S., Härenstam, A., and Hagberg, M. (2011). Mobile phone use and stress, sleep disturbances, and symptoms of depression among young adults—A prospective cohort study. BMC Public Health, 11. source
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
None of the sources cited for this claim have been checked yet.
In the paper
“Another possible explanation is that women are more vulnerable to this type of problem because it is related to communication practices such as establishing and actively maintaining relationships, which women engage in more than men [38,40].”
§ Problematic Use of the Internet and Smartphones in University Students: 2006–2017 > 4. Discussion
What the sources say
- Not checked yetcites [38] Mumcu, 2016, Modelling smartphone addiction: The role of smartphone usage, self-regulation, general self-efficacy and cyberloafing in university students, Comput. Hum. Behav. source
- Not checked yetcites [40] Bolle, 2015, Modeling habitual and addictive smartphone behavior. The role of smartphone usage types, emotional intelligence, social stress, self-regulation, age, and gender, Comput. Hum. Behav.
Strength:hedged· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
In the paper
“Davis [62] offered one of the first theoretical models, which differentiates between a generalized and a specific type of Internet addiction.”
§ Problematic Use of the Internet and Smartphones in University Students: 2006–2017 > 4. Discussion
What the sources say
- Not checked yetcites [62] Davis, 2001, A cognitive-behavioral model of pathological Internet use, Comput. Hum. Behav. source
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“Facebook and WhatsApp (as WhatsApp could be considered a social media) could be used as a key component to understand how young people socialize through these applications [57].”
§ Problematic Use of the Internet and Smartphones in University Students: 2006–2017 > 4. Discussion
What the sources say
- Not checked yetcites [57] O’Hara, K.P., Massimi, M., Harper, R., Rubens, S., and Morris, J. (2014, January 15–19). Everyday dwelling with WhatsApp. Proceedings of the 17th ACM Conference on Computer Supported Cooperative Work & Social Computing—CSCW’14, Baltimore, MD, USA. source
Strength:hedged· not yet calibratedTests✓ Asserted: passes✗ Checkable: fails✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. It may be too vague to check against evidence. The paper’s conclusions may not depend on it.
In the paper
“Some studies suggest that there may be different thresholds for males and females with respect to these negative effects [52].”
§ Problematic Use of the Internet and Smartphones in University Students: 2006–2017 > 4. Discussion
What the sources say
- Not checked yetcites [52] Lachmann, 2016, Life satisfaction and problematic Internet use: Evidence for gender specific effects, Psychiatry Res. source
Strength:hedged· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
None of the sources cited for this claim have been checked yet.
In the paper
“In fact, online social networking is considered, along with video games, to be the use with the highest risk of becoming problematic [55,56] even though there is a lack of empirical confirmation [13].”
§ Problematic Use of the Internet and Smartphones in University Students: 2006–2017 > 4. Discussion
What the sources say
- Not checked yetcites [55] Kuss, 2011, Online social networking and addiction—A review of the psychological literature, Int. J. Environ. Res. Public Health source
- Not checked yetcites [56] Ryan, 2014, The uses and abuses of Facebook: A review of Facebook addiction, J. Behav. Addict. source
- Not checked yetcites [13] Carbonell, 2017, A critical consideration of social networking sites’ addiction potential, Addict. Res. Theory source
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
In the paper
“A large-scale tracking of online behavior showed that the use of WhatApp over the smartphone accounted for nearly 20% of all smartphone behavior, above Facebook use [58].”
§ Problematic Use of the Internet and Smartphones in University Students: 2006–2017 > 4. Discussion
What the sources say
- Not checked yetcites [58] Montag, C., Błaszkiewicz, K., Sariyska, R., Lachmann, B., Andone, I., Trendafilov, B., Eibes, M., and Markowetz, A. (2015). Smartphone usage in the 21st century: Who is active on WhatsApp?. BMC Res. Notes, 8. source
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“In the last decade, we have learned that it is convenient to distinguish between behavioral addictions that take place on the Internet (for example, pathological gambling), the specific uses of the Internet that can become problematic (for example, videogames and social networks), and a possible generalized Internet addiction [45,46,49].”
§ Problematic Use of the Internet and Smartphones in University Students: 2006–2017 > 4. Discussion
What the sources say
- Not checked yetcites [45] Griffiths, 2014, Is excessive online usage a function of medium or activity?, J. Behav. Addict. source
- Not checked yetcites [46] Pontes, 2015, The impact of Internet-based specific activities on the perceptions of Internet addiction, quality of life, and excessive usage: A cross-sectional study, Addict. Behav. Rep.
- Not checked yetcites [49] Griffiths, 2018, Conceptual issues concerning Internet addiction and Internet gaming disorder: Further critique on Ryding and Kaye (2107), Int. J. Ment. Health Addict. source
Strength:plain· not yet calibratedTests✓ Asserted: passes✗ Checkable: fails✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. It may be too vague to check against evidence. The paper’s conclusions may not depend on it.
In the paper
“The terms “internet addiction” and “smartphone addiction” could be ‘misnomers’ [49] which we might not want to use anymore.”
§ Problematic Use of the Internet and Smartphones in University Students: 2006–2017 > 4. Discussion
What the sources say
- Not checked yetcites [49] Griffiths, 2018, Conceptual issues concerning Internet addiction and Internet gaming disorder: Further critique on Ryding and Kaye (2107), Int. J. Ment. Health Addict. source
Strength:hedged· not yet calibratedTests✓ Asserted: passes✗ Checkable: fails✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. It may be too vague to check against evidence. The paper’s conclusions may not depend on it. It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“which may correspond to a progressive normalization and integration of these new technologies into our daily life.”
§ Problematic Use of the Internet and Smartphones in University Students: 2006–2017 > 4. Discussion
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✗ Checkable: fails✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. It may be too vague to check against evidence. The paper’s conclusions may not depend on it.
In the paper
“Later, more sophisticated models to explain the different levels of the addiction process have been developed, such as the I-PACE model [27], which is useful for understanding the development and maintenance of specific Internet-use disorders.”
§ Problematic Use of the Internet and Smartphones in University Students: 2006–2017 > 4. Discussion
What the sources say
- Not checked yetcites [27] Brand, 2016, Integrating psychological and neurobiological considerations regarding the development and maintenance of specific Internet-use disorders: An Interaction of Person-Affect-Cognition-Execution (I-PACE) model, Neurosci. Biobehav. Rev. source
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“Finally, it is possible that some differences found in this study were more influenced by the cultural differences between the samples than by the temporal differences.”
§ Problematic Use of the Internet and Smartphones in University Students: 2006–2017 > 4. Discussion
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✗ Based: failsProbably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“Firstly, university students have a higher than average level of academic development and their use of the Internet and mobile phones is not necessarily representative of the use that other young people engage in.”
§ Problematic Use of the Internet and Smartphones in University Students: 2006–2017 > 4. Discussion
Strength:hedged· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✗ Based: failsProbably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds. It may state two separate claims as one.
The paper relies on this without support.
The CERI and CERM scores are comparable across the different cohorts and years of assessment.
“The data on problematic Internet and mobile phone use obtained in the present study (called Cohort 6 hereinafter) was compared with data obtained from other cohorts of university students who answered the CERI and CERM questionnaires in studies conducted by our team between 2006 and 2017”
“The scores were then compared with the results of former studies that had used these questionnaires.”
The paper relies on this without support.
The compared cohorts differ primarily in year of assessment and not in other characteristics (e.g., country, university, degree composition) that could affect CERI/CERM scores.
“Cohort 2: 318 Psychology students from the University of Illinois at Urbana-Champaign in the United States, 51% of which were women, aged between 17 and 21 years.”
“Cohort 5: 308 psychology students from Ibagué University in Ibagué, Colombia.”
The paper relies on this without support.
Self-reported perception of problematic Internet and smartphone use is a valid indicator of actual problematic use.
“The perception of problematic Internet and mobile phone use has increased over the last decade”
“The questionnaires used make it possible to detect a concern about certain technology-based behaviors but in no case to issue a clinical diagnosis.”
The paper relies on this without support.
The CERI and CERM measure the same constructs when administered to cohorts in different countries and languages.
“Cohort 2: 318 Psychology students from the University of Illinois at Urbana-Champaign in the United States, 51% of which were women, aged between 17 and 21 years.”
“Cohort 5: 308 psychology students from Ibagué University in Ibagué, Colombia.”
The paper relies on this without support.
When the CERM was designed, the mobile phones used by the participants did not have access to the Internet.
“when we designed the CERM, the mobile phones used by the participants did not have access to the Internet”
The paper relies on this without support.
At present, there is not really a distinction between mobile phones and smartphones because they are considered synonymous.
“at present, there is not really a distinction between mobile phones and smartphones because they are considered synonymous.”
The paper relies on this without support.
Students who responded to the CERI 10 years ago did so thinking primarily about their connection to the Internet via their computer, whereas now they access the Internet indiscriminately from their mobile phones, other handheld devices, and home or university computer.
“The students who responded to the CERI 10 years ago did so thinking primarily about their connection to the Internet via their computer, whereas now they access the Internet indiscriminately from their mobile phones, other handheld devices, and home or university computer.”
The paper relies on this without support.
A problematic use of these technologies does not correspond to any diagnostic entity.
“a problematic use of these technologies does not correspond to any diagnostic entity”
The paper relies on this without support.
A general use of the Internet is no longer conceivable; rather, a specific one is.
“a general use of the Internet is no longer conceivable; rather, a specific one is”
The paper relies on this without support.
Phone bills were a point of concern because a flat rate did not exist, and users needed a learning period to manage use within reasonable limits.
“Phone bills were a point of concern because a flat rate did not exist, and users needed a certain learning period to understand how to manage their use so that it remained within reasonable limits.”
The paper relies on this without support.
When users managed to control phone expenses and worries dissipated, smartphones emerged on the market.
“When, thanks to new billing structures, users managed to control their phone expenses and these worries seemed to dissipate, smartphones emerged on the market.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“The rising use of smartphones [3] and rapidly increasing availability of health information on the internet has led to more people using the internet as their first healthcare resource, often before seeking professional advice [4].”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Conflicting claims about gender differences in problematic use
MajorThe discussion says women's problematic use is greater, but later says there were no gender differences in problematic mobile phone or Internet use. The text does not specify a different cohort or analysis to reconcile these claims.
“In any case, women’s problematic use is greater (H3), probably as a consequence of their using social networks more than males”
“No differences were found between men and women in the problematic use of the mobile phone despite this being a frequent result in other investigations [15,17,40,53]. Although the Internet activities of men and women were different, there were no differences found in the problematic use of the Internet [53,54].”
Citations
Cites
Diagnostic and Statistical Manual of Mental Disorders
American Psychiatric Association (2013) · doi:10.1176/appi.books.9780890425596 · Cited by 116,369
Internet Addiction: The Emergence of a New Clinical Disorder
YOUNG, K. S. (1998) · CyberPsychology & Behavior · doi:10.1089/cpb.1998.1.237 · Cited by 5,513
Motivational, emotional, and behavioral correlates of fear of missing out
Przybylski, A. K., Murayama, K., DeHaan, C. R., & Gladwell, V. (2013) · Computers in Human Behavior · doi:10.1016/j.chb.2013.02.014 · Cited by 3,932 · cited 1×
“Results of these alerts are concepts such as the so-called technostress [29], smombie (a combination of “smartphone” and “zombie”) [30], fear of missing out (“FoMO”) [31], and nomophobia (“no-mobile-phone phobia”) [32].”
BackgroundA cognitive-behavioral model of pathological Internet use
Davis, R. A. (2001) · Computers in Human Behavior · doi:10.1016/s0747-5632(00)00041-8 · Cited by 3,010 · cited 1×
“Davis [62] offered one of the first theoretical models, which differentiates between a generalized and a specific type of Internet addiction.”
BackgroundBrand, M., Young, K. S., Laier, C., Wölfling, K., & Potenza, M. N. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.08.033 · Cited by 2,416 · cited 3×
“Even the same authors use different expressions in different papers [27,28].”
BackgroundOnline Social Networking and Addiction—A Review of the Psychological Literature
Kuss, D. J., & Griffiths, M. D. (2011) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph8093528 · Cited by 2,038 · cited 1×
“In fact, online social networking is considered, along with video games, to be the use with the highest risk of becoming problematic [55,56] even though there is a lack of empirical confirmation [13].”
BackgroundDevelopment and Validation of a Smartphone Addiction Scale (SAS)
Kwon, M., Lee, J.-Y., Won, W.-Y., Park, J.-W., Min, J.-A., Hahn, C., Gu, X., Choi, J.-H., & Kim, D.-J. (2013) · PLoS ONE · doi:10.1371/journal.pone.0056936 · Cited by 1,670 · cited 1×
“Recently, several other questionnaires were adapted to asses smartphone addiction, like the Smartphone Addiction Scale (SAS) [22], the Smartphone Addiction Inventory (SPAI) [23], or the one used in Saudi Arabia [24].”
BackgroundPsychological Predictors of Problem Mobile Phone Use
Bianchi, A., & Phillips, J. G. (2005) · CyberPsychology & Behavior · doi:10.1089/cpb.2005.8.39 · Cited by 1,514 · cited 3×
“Several studies can serve as examples [6,9,34,36].”
BackgroundMethodThomée, S., Härenstam, A., & Hagberg, M. (2011) · BMC Public Health · doi:10.1186/1471-2458-11-66 · Cited by 1,269 · cited 3×
“Several studies can serve as examples [6,9,34,36].”
BackgroundBillieux, J., Maurage, P., Lopez-Fernandez, O., Kuss, D. J., & Griffiths, M. D. (2015) · Current Addiction Reports · doi:10.1007/s40429-015-0054-y · Cited by 1,205 · cited 3×
“However, despite the existence of problematic use, it seems that the term ‘addiction’ is an inadequate construct when used as simply “Internet addiction”, because: (i) the problematic use does not depend on the mobile phone or the Internet itself, but on the activities accessed on them; (ii) the problematic use can be…”
Background
Flagged first, then by citations
Research works printed but not linked: 3
- Carbonell, 2012, Internet and mobile phone addiction: A review of empirical Spanish studies, Papeles Psicol., 33, 82
- Beranuy, 2009, Validación de dos escalas breves para evaluar la adicción a Internet y el abuso de móvil, Psicothema, 21, 480
- Labrador, 2010, Menores y nuevas tecnologías: Conductas indicadoras de posible problema de adicción, Psicothema, 22, 180
Cited by
Sorted by citations
Items 201–236 of 236
Grendova, K., Machajova, M., & Bartková, K. (2021) · Clinical Social Work and Health Intervention · doi:10.22359/cswhi_12_5_04
Martins, G. D. G., & Andrade, A. L. M. (2022) · doi:10.31219/osf.io/z8vqj
Social Network Sites (SNS) and Their Irrepressible Popularity
Koç, T., & Akbıyık, A. (2022) · IGI Global eBooks · doi:10.4018/978-1-6684-6307-9.ch054
Lysytsia, N., & Byelikova, Y. V. (2022) · Economics of Development · doi:10.57111/devt.20(1).2022.25-34
EXAMINATION OF THE ONLINE GAME ADDICTION LEVELS OF SECONDARY SCHOOL STUDENTS ACC
Kılıç, M. A. (2023) · Route Educational and Social Science Journal · doi:10.17121/ressjournal.3308
Subba, D., & Choudhary, R. K. (2023) · Pearl A Journal of Library and Information Science · doi:10.5958/0975-6922.2023.00002.5
Pansakun, N., Kantow, S., Chaiya, T., Pudpong, P., & Charoenthararak, K. (2023) · Journal of Public Health and Development · doi:10.55131/jphd/2023/210203 · Cited by 1
da Silva, T. P. A. (2023) · Editora Omnis Scietia eBooks · doi:10.47094/978-65-5854-337-4
Domínguez-Lara, S., Sánchez‐Villena, A. R., Aranda, M., Gutiérrez, V. F., & Domingo, M. G. (2023) · African journal of rhetoric · doi:10.21134/haaj.v23i2.769 · Cited by 5
Prevalence of Internet Usage Complaints Among Undergraduate StudentsPreprint
Mgbedo, N. E., & Zavradashvili, N. (2024) · medRxiv · doi:10.1101/2024.01.29.24301866
“Students tend to spend more time on the Internet, which can affect their physical health, resulting in pain in the eyes, fingers, neck, and shoulder, and clinical symptoms such as dry eyes, headaches, vision problems, and loss of appetite [16-18].”
BackgroundInfluentialUSING SOCIAL MEDIA TO IMPROVE THE STUDENTS’ ENGLISH ABILITY
Pratiwi, E., Kartikasari, D., & Jaya, A. (2023) · JURNAL SMART · doi:10.52657/js.v9i1.1931
Exploring the Influence of Cumulative Ecological Risk on Belief in Fake News: A Longitudinal Study
Wu, Y., & Mustafa, H. (2024) · American Journal of Health Behavior · doi:10.5993/ajhb.48.2.22
García, J. R., Ramírez, J. P., & Gehrig, R. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4904839
Investigasi Keterkaitan Adiksi Internet, Kepuasan Hidup dan Depresi
Zaen, F. N., Aulia, M. A., Aziz, R., Auliya, S., Saepullah, W., Fuji, M. D., & Natanael, Y. (2024) · Psikologia Jurnal Psikologi · doi:10.21070/psikologia.v9i2.1645
Problematic internet use among people with dentofacial deformity: a preliminary study
Kożybska, M., Szpyt, J., Pajor, K., Radlińska, I., Starkowska, A., & Karakiewicz, B. (2025) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2025.1481739
“However, some researchers suggest that gender does not signi fi cantly in fl uence PIU (42, 83, 84).”
Martins, G. D. G., & Andrade, A. L. M. (2022) · doi:10.31219/osf.io/z8vqj_v1
Students and Smartphone Usage: Influencing Factors
Afzali, F. M., Rastegari, E., & Ning, W. (2025) · ACM Southeast Regional Conference (ACMSE) · doi:10.1145/3696673.3723072 · Cited by 2
The Relationship Between Nursing Students' Cyberloafing Behaviors and Their Academic Achievement
Çalışkan, F., & Sezer, M. (2025) · CIN Computers Informatics Nursing · doi:10.1097/cin.0000000000001361
Aibod, S., Naghipour, S., Naghipour, K., Veisani, Y., Mohamadian, F., Rajaei, M., & Azizifar, A. (2025) · Shiraz E-Medical Journal · doi:10.5812/semj-146864
Ortega, A., & Chávez, S. A. R. (2025) · Arandu-UTIC. · doi:10.69639/arandu.v12i3.1431
Exploring Determinants and Factors Associated with Problematic Smartphone Use among Youth
Guimarães, R. D. F., de Almeida, B. P., & da Silva, M. P. (2025) · IntechOpen eBooks · doi:10.5772/intechopen.1012669
Farnood, A., Johnston, B., & Mair, F. S. (2020) · Figshare · doi:10.6084/m9.figshare.13059289
Farnood, A., Johnston, B., & Mair, F. S. (2020) · Figshare · doi:10.6084/m9.figshare.13059295
Farnood, A., Johnston, B., & Mair, F. S. (2020) · Figshare · doi:10.6084/m9.figshare.13059292
Farnood, A., Johnston, B., & Mair, F. S. (2020) · Figshare · doi:10.6084/m9.figshare.13059286
Ferreira, M. A. M., Chacón, G. N., & Solano-Becerra, E. (2025) · Revista perspectivas/Perspectiva · doi:10.22463/25909215.5592
Scrolling on the Clock: How Millennials in IT Are Redefining Cyberloafing
Helmiatin, H., Riani, A. L., Wahyuni, S., & Sunaryo, S. (2026) · Human Behavior and Emerging Technologies · doi:10.1155/hbe2/4333010
Anwar, P., Muzaffar, A., Kausar, R., Anmol, H., & Sabir, S. (2026) · Qlantic Journal of Social Sciences and Humanities · doi:10.55737/qjssh.vii-i.26477
Validation of the Farsi version of the cyberloafing scale in Iranian university students
Abdolpour, G. (2026) · BMC Psychology · doi:10.1186/s40359-026-04735-8
“Another notable finding was the moderate positive correlation between cyberloafing subscales and both social media addiction and rumination, echoing earlier studies by [4, 41, 42], which linked excessive internet and social media use to psychological problems.”
Problematic internet use: Determinant of sleep problems and perceived stress levels in young adults
Akca, A., & Ertuğrul, B. (2026) · Journal of Health Psychology · doi:10.1177/13591053261448158
Estrada-Muñoz, C., Meyer, F., Vásquez, M. E. G., Navarrete, J. P., Vega-Muñoz, A., & Salazar-Sepúlveda, G. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2026.1827523
Ahamed, P. C. A., & Jinwala, Z. A. (2026) · IGI Global eBooks · doi:10.4018/979-8-2600-2468-3.ch003
Liu, N., Wu, Y., Shen, Y., & Hsu, C. (2026) · Information & Management · doi:10.1016/j.im.2026.104432
Keleş, M. K., & Özer, Ö. (2026) · Journal of Human Behavior in the Social Environment · doi:10.1080/10911359.2026.2729449
Aldbyani, A., Wang, G., Wang, R., & Wong, B. Y. (2026) · Current Psychology · doi:10.1007/s12144-026-10105-9
“…use reflects broader maladaptive or compulsive patterns of use, whereas smartphone-related academic distraction focuses more specifically on the extent to which smartphone use interferes with concentration and learning processes (Carbonell et al., 2018; Sánchez-Fernán-dez & Borda-Mas, 2023).”
Muchemwa, S., Moyo, P. I. A., Paradza, B., Chipunza, O., Hove, A. R., Shava, B. K., Chibanda, D., & Dambi, J. M. (2026) · Addiction and Health · doi:10.34172/ahj.1677
“5 The consequences of problematic smartphone use among university students are multifaceted and mutually reinforcing.”
Metadata
- Authors
- Carbonell, X., Chamarro, A., Oberst, U., Rodrigo, B., & Prades, M.
- Affiliations
- Universitat Ramon Llull (ES)
- Departamento de Psicología, Universitat Autónoma de Barcelona, Cerdanyola del Vallès, 08193 Barcelona, Spain
- Corresponding author
- Carbonell, Xavier
- Venue
- International Journal of Environmental Research and Public Health
- Publisher
- MDPI AG
- Published
- 2018-03-08
- Volume
- 15
- Issue
- 3
- Pages
- 475
- ISSN
- 1660-4601 (ISSN-L)
- PMC
- PMC5877020
- OpenAlex
- W2785113047
- Semantic Scholar
- f0f720b07d2b8c867b6ca5acbe319fd94babb208
- Cited by
- 240
- References
- 65
- Citations by year
- 2026: 11 · 2025: 18 · 2024: 31 · 2023: 33 · 2022: 40 · 2021: 43 · 2020: 35 · 2019: 20 · 2018: 8
- FWCI
- 60.29
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- International Journal of Environmental Research and Public Health (publishedVersion, cc-by)
- Preprints.org (acceptedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Dipòsit Digital de Documents de la UAB (Universitat Autònoma de Barcelona) (submittedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (submittedVersion, cc-by)
- RECERCAT (Consorci de Serveis Universitaris de Catalunya) (submittedVersion, cc-by)
- Topics
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Psychology › Clinical Psychology › Sexuality, Behavior, and Technology
- Social Sciences › Education › Child Development and Digital Technology
- Keywords
- problematic internet use, smartphone addiction, internet addiction, university students, social media, prevalence trends, gender differences, temporal trends
- MeSH terms
- Smartphone, Online Social Networking, Adolescent, Female, Habits, Humans, Male, Surveys and Questionnaires, Spain, Students, Technology, Universities, Prevalence, Behavior, Addictive, Internet, Cell Phone, Young Adult, Social Media
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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