The DOI matches its Crossref record; 55 of the 55 references it cites were found in a registry or an index.
Problematic mobile phone use in adolescence: a cross-sectional study
Open accessOverview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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
“There is also evidence of an association between behavioral addiction (i.e., pathological gambling, compulsive buying, Internet addiction, work addiction, and exercise addiction) and problematic use of mobile phones in youth (127).”
From Mobile intervention for individuals with psychosis, dual disorders, and their common comorbidities: A literature review (2019) · cites this paper as [127]
In the citing paper
“Some authors have based their research on the criteria of Internet addiction or general behavioral addiction, which had a clear support on the criteria established from substance abuse research (34, 80, 85, 88, 91, 95, 96, 102).”
From Cell-phone addiction: a review (2016) · cites this paper as [80]
Citations
Cites
(1990) · Choice Reviews Online · doi:10.5860/choice.27-3338 · Cited by 35,305
Cook, R. J., Dickens, B. M., & Fathalla, M. F. (2003) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780199241323.003.0025 · Cited by 10,825
Kupper, L. L., Hosmer, D. W., & Lemeshow, S. A. (1990) · Journal of the American Statistical Association · doi:10.2307/2290035 · Cited by 7,690
Monitoring the Future: National Results on Adolescent Drug Use: Overview of Key Findings
Johnston, L. D., O’Malley, P. M., Bachman, J. G., & Schulenberg, J. E. (2003) · FOCUS The Journal of Lifelong Learning in Psychiatry · doi:10.1037/e560352009-001 · Cited by 6,930
(1987) · American Journal of Psychiatry · doi:10.1176/ajp.144.9.1184 · Cited by 2,948
A pathways model of problem and pathological gambling
Blaszczynski, A., & Nower, L. (2002) · Addiction · doi:10.1046/j.1360-0443.2002.00015.x · Cited by 2,013
Psychological 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
Shaffer, H. J., Hall, M. N., & Bilt, J. V. (1999) · American Journal of Public Health · doi:10.2105/ajph.89.9.1369 · Cited by 1,253
Petry, N. M., Stinson, F. S., & Grant, B. F. (2005) · The Journal of Clinical Psychiatry · doi:10.4088/jcp.v66n0504 · Cited by 1,245 · cited 1×
“Problematic mobile phone use is associated with different conditions in the two genders; this could reflect the difference in prevalence of gambling and other addictive behaviours in the two genders, in line with previous research (Shaffer et al. 1999; Petry et al. 2005; Greenberg et al. 1999).”
ResultAssociation between Cellular-Telephone Calls and Motor Vehicle Collisions
Redelmeier, D. A., & Tibshirani, R. J. (1997) · New England Journal of Medicine · doi:10.1056/nejm199702133360701 · Cited by 1,176
The psychometric properties of the Internet addiction test
Widyanto, L., & McMurran, M. (2004) · CyberPsychology & Behavior · doi:10.1089/cpb.2004.7.443 · Cited by 1,073
A Clinical Screener for Compulsive Buying
Faber, R. J., & O’Guinn, T. C. (1992) · Journal of Consumer Research · doi:10.1086/209315 · Cited by 1,016
Preventing Tobacco Use Among Young People: A Report of the Surgeon General
(1994) · PsycEXTRA Dataset · doi:10.1037/e601082007-001 · Cited by 690
Estimated Prevalence of Compulsive Buying Behavior in the United States
Koran, L. M., Faber, R. J., Aboujaoude, E. N., Large, M. D., & Serpe, R. T. (2006) · American Journal of Psychiatry · doi:10.1176/ajp.2006.163.10.1806 · Cited by 554
The neurobiology and genetics of impulse control disorders: Relationships to drug addictions
Brewer, J. A., & Potenza, M. N. (2007) · Biochemical Pharmacology · doi:10.1016/j.bcp.2007.06.043 · Cited by 540
The Exercise Addiction Inventory: A New Brief Screening Tool
Terry, A., Szabo, A., & Griffiths, M. (2004) · Addiction Research & Theory · doi:10.1080/16066350310001637363 · Cited by 504
Toward the development of an adolescent gambling problem severity scale
Winters, K. C., Stinchfield, R. D., & Fulkerson, J. A. (1993) · Journal of Gambling Studies · doi:10.1007/bf01019925 · Cited by 450
Addictive Personality and Problematic Mobile Phone Use
Takao, M., TAKAHASHI, S. Y., & Kitamura, M. (2009) · CyberPsychology & Behavior · doi:10.1089/cpb.2009.0022 · Cited by 424
Yen, C., Tang, T., Yen, J., Lin, H., Huang, C., Liu, S., & Ko, C. (2009) · Journal of Adolescence · doi:10.1016/j.adolescence.2008.10.006 · Cited by 416
Jensen, J. (2005) · SecEd · doi:10.12968/sece.2005.4.415 · Cited by 362
Hakala, P., Rimpelä, A., Saarni, L. A., & Salminen, J. J. (2006) · European Journal of Public Health · doi:10.1093/eurpub/ckl025 · Cited by 338
Walsh, S. P., White, K. M., & Young, R. M. (2007) · Journal of Adolescence · doi:10.1016/j.adolescence.2007.04.004 · Cited by 324
The exercise addiction inventory: a quick and easy screening tool for health practitioners: Table 1
Griffiths, M. D., Szabó, A., & Terry, A. (2005) · British Journal of Sports Medicine · doi:10.1136/bjsm.2004.017020 · Cited by 306
Characteristics of excessive cellular phone use in Korean adolescents
Ha, J. H., Chin, B., Park, D.-H., Ryu, S.-H., & Yu, J. (2008) · CyberPsychology & Behavior · doi:10.1089/cpb.2008.0096 · Cited by 304
Behavioural addictions in adolescents and young adults: Results from a prevalence study
Villella, C., Martinotti, G., Di Nicola, M., Cassano, M., La Torre, G., Gliubizzi, M. D., Messeri, I., Petruccelli, F., Bria, P., Janiri, L., et al. (2011) · Journal of Gambling Studies · doi:10.1007/s10899-010-9206-0 · Cited by 287
Self-citationThe Work Addiction Risk Test: Development of a Tentative Measure of Workaholism
Robinson, B. E. (1999) · Perceptual and Motor Skills · doi:10.2466/pms.1999.88.1.199 · Cited by 274
Johnston, L. D., O’Malley, P. M., Bachman, J. G., Schulenberg, J. E., & Miech, R. A. (2001) · Deep Blue (University of Michigan) · Cited by 251
Patterns and characteristics of adolescent gambling
Winters, K. C., Stinchfield, R. D., & Fulkerson, J. A. (1993) · Journal of Gambling Studies · doi:10.1007/bf01014628 · Cited by 247
Beyers, W., & Goossens, L. (2002) · Educational and Psychological Measurement · doi:10.1177/00164402062003009 · Cited by 232
ROBERTS, J. A. (1998) · Journal of Consumer Affairs · doi:10.1111/j.1745-6606.1998.tb00411.x · Cited by 216
Is the SOGS an Accurate Measure of Pathological Gambling Among Children, Adolescents and Adults?
Ladouceur, R., Bouchard, C., Rhéaume, N., Jacques, C. J., Ferland, F., Leblond, J., & Walker, M. (2000) · Journal of Gambling Studies · doi:10.1023/a:1009443516329 · Cited by 213
Youth gambling problems: a public health perspective
Messerlian, C. (2005) · Health Promotion International · doi:10.1093/heapro/dah509 · Cited by 205
Environmental factors and semen quality
Jurewicz, J., Hanke, W., Radwan, M., & Bonde, J. P. (2009) · International Journal of Occupational Medicine and Environmental Health · doi:10.2478/v10001-009-0036-1 · Cited by 194
Overlapping addictions and self-esteem among college men and women
Greenberg, J. L., Lewis, S. E., & Dodd, D. K. (1999) · Addictive Behaviors · doi:10.1016/s0306-4603(98)00080-x · Cited by 193
Mobile (cellular) phone use and driving: a critical review of research methodology
Haigney, D., & Westerman, S. (2001) · Ergonomics · doi:10.1080/00140130118417 · Cited by 184
Mobile phones, cordless phones and the risk for brain tumours
Hardell (2009) · International Journal of Oncology · doi:10.3892/ijo_00000307 · Cited by 173
Monitoring adolescent gambling in Minnesota
Winters, K. C., Stinchfield, R. D., & Kim, L. G. (1995) · Journal of Gambling Studies · doi:10.1007/bf02107113 · Cited by 166
Meta-analysis of long-term mobile phone use and the association with brain tumours
Hardell, L., Carlberg, M., Söderqvist, F., & Mild, K. H. (2008) · International Journal of Oncology · doi:10.3892/ijo.32.5.1097 · Cited by 162
A Structural and Discriminant Analysis of the Work Addiction Risk Test
Flowers, C. P., & Robinson, B. E. (2002) · Educational and Psychological Measurement · doi:10.1177/00164402062003008 · Cited by 156
Adolescence et Psychopathologie
(2018) · Elsevier eBooks · doi:10.1016/c2016-0-01371-2 · Cited by 136
Estimated Prevalence of Compulsive Buying Behavior in the United States
Koran, L. (2006) · American Journal of Psychiatry · doi:10.1176/appi.ajp.163.10.1806 · Cited by 116
Behavioural addictions in bipolar disorder patients: role of impulsivity and personality dimensions
Di Nicola, M., Tedeschi, D., Mazza, M., Martinotti, G., Harnic, D., Catalano, V., Bruschi, A., Pozzi, G., Bria, P., & Janiri, L. (2010) · Journal of Affective Disorders · doi:10.1016/j.jad.2009.12.016 · Cited by 112
Self-citationAn Assessment of the Validity and Reliability of the SOGS-RA
Poulin, C. (2002) · Journal of Gambling Studies · doi:10.1023/a:1014584213557 · Cited by 104
Validity of the Work Addiction Risk Test
Robinson, B. E., & Post, P. B. (1994) · Perceptual and Motor Skills · doi:10.2466/pms.1994.78.1.337 · Cited by 103
Neurobiological Processes in Adolescent Addictive Disorders
Schepis, T. S., Adinoff, B. H., & Rao, U. (2008) · American Journal on Addictions · doi:10.1080/10550490701756146 · Cited by 100
Rutland, J. B., Sheets, T., & Young, T. (2007) · CyberPsychology & Behavior · doi:10.1089/cpb.2007.9943 · Cited by 93
Schooling the Mobile Generation: The future for schools in the mobile-networked society
Selwyn, N. (2003) · British Journal of Sociology of Education · doi:10.1080/01425690301905 · Cited by 78
Mobile phone related-hazards and subjective hearing and vision symptoms in the Saudi population.
Meo, S. A., & Al-Drees, A. M. (2005) · PubMed · Cited by 64
Test-Retest Reliability of the Work Addiction Risk Test
Robinson, B. E., Post, P. B., & Khakee, J. F. (1992) · Perceptual and Motor Skills · doi:10.2466/pms.1992.74.3.926 · Cited by 58
Adolescence et psychopathologie
Marcelli, D., Braconnier, A., & Coslin, P. G. (1996) · Bulletin de psychologie · doi:10.3406/bupsy.1996.14564 · Cited by 56
Concurrent Validity of the Work Addiction Risk Test as a Measure of Workaholism
Robinson, B. E. (1996) · Psychological Reports · doi:10.2466/pr0.1996.79.3f.1313 · Cited by 51
The Most Primary of Care — Talking about Driving and Distraction
Ship, A. N. (2010) · New England Journal of Medicine · doi:10.1056/nejmp0910137 · Cited by 23
Mobile Phone Use and Brain Cancer: Is the Association Biased
Kundi, M. (2010) · Neuroepidemiology · doi:10.1159/000314928 · Cited by 8
Six assertions about the salutogenic approach and health promotion
Simonelli, F., Guerreiro, A. I. F., Simonelli, I., & Pasquale, C. D. (2010) · Italian Journal of Public Health · doi:10.2427/5734 · Cited by 4
Paulus, P. (2024) · Italian Journal of Public Health · doi:10.2427/5862 · Cited by 4
Research works printed but not linked: 5
- American Psychiatric Association (2000) DSM-IV-TR: diagnostic and statistical manual of mental disorders, 4th edn., text revision. American Psychiatric Association, Washington, DC
- Brown RIF (1993) Some contributions of the study of gambling to the study of other addictions. In: Eadington WR, Cornelius JA (eds) Gambling behaviour and problem gambling. Institute for the Study of Gambling and Commercial Gaming, Reno, pp 241–272
- Istituto Nazionale di Statistica (2008) La vita quotidiana di bambini e ragazzi Anno 2008. ISTAT, Roma
- Johnston LD, O’Malley PM, Bachman JG, Schulenberg JE (2005) Monitoring the future national survey results on drug use, 1975–2004. National Institute on Drug Abuse, Bethesda, MD
- Robinson BE (1989) Work addiction. Health Communications, Dearfield Beach, FL
Cited by
Sorted by citations
Cell-phone addiction: a review
De-Sola Gutiérrez, J., Rodríguez de Fonseca, F., & Rubio, G. (2016) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2016.00175 · Cited by 722
A proposal for including nomophobia in the new DSM-V
Bragazzi, N., & Del Puente, G. (2014) · Psychology Research and Behavior Management · doi:10.2147/prbm.s41386 · Cited by 615
Gökçearslan, Ş., Mumcu, F. K., Haşlaman, T., & Çevik, Y. D. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.05.091 · Cited by 424
Prevalence of problematic mobile phone use in British adolescents.
Lopez-Fernandez, O., Honrubia-Serrano, L., Freixa-Blanxart, M., & Gibson, W. (2014) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2012.0260 · Cited by 371
Thomée, S. (2018) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph15122692 · Cited by 370
Metadata
- Authors
- Martinotti, G., Villella, C., Di Thiene, D., Di Nicola, M., Bria, P., Conte, G., Cassano, M., Petruccelli, F., Corvasce, N., Janiri, L., & La Torre, G.
- Affiliations
- Università Cattolica del Sacro Cuore (IT)
- Università degli studi di Cassino e del Lazio Meridionale (IT)
- Corresponding author
- Villella, Corrado
- Venue
- Journal of Public Health
- Published
- 2011-05-10
- Volume
- 19
- Issue
- 6
- Pages
- 545-551
- ISSN
- 0943-1853 (ISSN-L)
- 1613-2238
- OpenAlex
- W1979264835
- Cited by
- 135
- References
- 55
- Citations by year
- 2026: 3 · 2025: 2 · 2024: 6 · 2023: 8 · 2022: 6 · 2021: 14 · 2020: 30 · 2019: 20 · 2018: 8 · 2017: 7 · 2016: 9 · 2015: 11 · 2014: 1 · 2013: 7 · 2012: 3
- FWCI
- 11.77
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- other-oa
- www.springer.com/tdm (tdm)
- Locations
- Journal of Public Health (publishedVersion)
- Archivio Istituzionale della Ricerca - Università degli Studi di Cassino (submittedVersion, other-oa)
- IRIS Research product catalog (Sapienza University of Rome) (submittedVersion)
- 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 mobile phone use, adolescents, behavioral addiction, compulsive buying, prevalence, high school students, Italian youth, internet addiction, exercise addiction, workaholism
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
