Cited by 39Impact of Technology on AdolescentsSexuality, Behavior, and TechnologySubstance Abuse Treatment and Outcomes

Psychological factors and alcohol use in problematic mobile phone use in the Spanish population

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De-Sola, José, Talledo, Hernán, Rubio, Gabriel, de Fonseca, Fernando Rodríguez·2017·Frontiers in Psychiatry

Abstract

This research aims to study the existing relationships among the factors of state anxiety, depression, impulsivity, and alcohol consumption regarding problematic mobile phone use, as assessed by the Mobile Phone Problem Use Scale. The study was conducted among 1,126 participants recruited among the general Spanish population, aged 16-65 years, by assessing the predictive value of these variables regarding this problematic use. Initially tobacco use was also considered being subsequently refused because of the low internal consistency of the scale used. In general terms, the results show that this problematic use is mainly related to state anxiety and impulsivity, through the dimensions of Positive and Negative Urgency. Considering its predictive value, multiple regression analysis reveals that state anxiety, positive and negative urgency, and alcohol consumption may predict problematic mobile phone use, ruling out the influence of depression.

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  1. [1]Smetaniuk P. A preliminary investigation into the prevalence and prediction of problematic cell phone use. J Behav Addict (2014) 3: 41– 53. 10.1556/JBA.3.2014.004 25215213 PMC4117273 · DOI · Paper page
  2. [2]Alavi SS Ferdosi M Jannatifard F Eslami M Alaghemandan H Setare M. Behavioral addiction versus substance addiction: correspondence of psychiatric and psychological views. Int J Prev Med (2012) 3: 290– 4. 22624087 PMC3354400
  3. [4]Potenza MN. Should addictive disorders include non-substance-related conditions? Addiction (2006) 101: 142– 51. 10.1111/j.1360-0443.2006.01591.x 16930171 · DOI · Paper page
  4. [7]Beranuy M Oberst U Carbonell X Chamarro A Problematic internet and mobile phone use and clinical symptoms in college students: the role of emotional intelligence. Comput Human Behav (2009) 25: 1182– 7. 10.1016/j.chb.2009.03.001 · DOI · Paper page
  5. [8]Cheung LM Wong WS. The effects of insomnia and internet addiction on depression in Hong Kong Chinese adolescents: an exploratory cross-sectional analysis. J Sleep Res (2011) 20: 311– 7. 10.1111/j.1365-2869.2010.00883.x 20819144 · DOI
  6. [9]Jenaro C Flores N Gómez-Vela M González-Gil F Caballo C Problematic internet and cell-phone use: psychological, behavioral, and health correlates. Addict Res Theory (2007) 15: 309– 20. 10.1080/16066350701350247 · DOI · Paper page
  7. [11]Sansone RA Sansone LA. Cell phones: the psychosocial risks. Innov Clin Neurosci (2013) 10: 33– 7. 23439568 PMC3579483
  8. [13]Ali M Asim M Danish SH Ahmad F Iqbal A Hasan SD Frequency of De Quervain’s tenosynovitis and its association with SMS texting. Muscles Ligaments Tendons J (2014) 4: 74– 8. 24932451 PMC4049654
  9. [14]Lin Y-H Lin S-H Li P Huang W-L Chen C-Y. Prevalent hallucinations during medical internships: phantom vibration and ringing syndromes. PLoS One (2013) 8: e65152. 10.1371/journal.pone.0065152 23762302 PMC3677878 · DOI · Paper page
  10. [17]Ha JH Chin B Park D-H Ryu S-H Yu J. Characteristics of excessive cellular phone use in Korean adolescents. Cyberpsychol Behav (2008) 11: 783– 4. 10.1089/cpb.2008.0096 18991536 · DOI · Paper page
  11. [18]Suresh S Sabanayagam C Kalidindi S Shankar A. Cell-phone use and self-reported hypertension: national health interview survey 2008. Int J Hypertens (2011) 2011: 1– 7. 10.4061/2011/360415 21629867 PMC3095917 · DOI
  12. [19]Delevi R Weisskirch RS Personality factors as predictors of sexting. Comput Human Behav (2013) 29: 2589– 94. 10.1016/j.chb.2013.06.003 · DOI
  13. [20]Strassberg DS McKinnon RK Sustaíta MA Rullo J. Sexting by high school students: an exploratory and descriptive study. Arch Sex Behav (2013) 42: 15– 21. 10.1007/s10508-012-9969-8 22674035 · DOI
  14. [23]Davey S Davey A. Assessment of smartphone addiction in Indian adolescents: a mixed method study by systematic-review and meta-analysis approach. Int J Prev Med (2014) 5: 1500– 11. 25709785 PMC4336980
  15. [25]Moeller FG Barratt ES Dougherty DM Schmitz JM Swann AC. Psychiatric aspects of impulsivity. Am J Psychiatry (2001) 158: 1783– 93. 10.1176/appi.ajp.158.11.1783 11691682 · DOI · Paper page
  16. [26]Evenden JL. Varieties of impulsivity. Psychopharmacology (1999) 146: 348– 61. 10.1007/PL00005481 10550486 · DOI · Paper page
  17. [27]Gagnon J Daelman S McDuff P Kocka A UPPS dimensions of impulsivity. J Individ Differ (2013) 34: 48– 55. 10.1027/1614-0001/a000099 · DOI
  18. [28]Michalczuk R Bowden-Jones H Verdejo-Garcia A Clark L. Impulsivity and cognitive distortions in pathological gamblers attending the UK National problem gambling clinic: a preliminary report. Psychol Med (2011) 41: 2625– 35. 10.1017/S003329171100095X 21733207 PMC3206226 · DOI · Paper page
  19. [31]Roberts JA Pullig C Manolis C I need my smartphone: a hierarchical model of personality and cell-phone addiction. Pers Individ Dif (2015) 79: 13– 9. 10.1016/j.paid.2015.01.049 · DOI
  20. [32]Jeffrey W Barry J Trevor W. Impulsivity, compulsivity, and top-down cognitive control. Neuron (2011) 69: 680– 94. 10.1016/j.neuron.2011.01.020 21338879 · DOI · Paper page
  21. [33]Hogarth L. The role of impulsivity in the aetiology of drug dependence: reward sensitivity versus automaticity. Psychopharmacology (2011) 215: 567– 80. 10.1007/s00213-011-2172-0 21301818 PMC3090566 · DOI
  22. [34]Miller J Flory K Lynam D Leukefeld C A test of the four-factor model of impulsivity-related traits. Pers Individ Dif (2003) 34: 1403– 18. 10.1016/S0191-8869(02)00122-8 · DOI · Paper page
  23. [35]Whiteside SP Lynam DR Miller JD Reynolds SK Validation of the UPPS impulsive behaviour scale: a four-factor model of impulsivity. Eur J Pers (2005) 19: 559– 74. 10.1002/per.556 · DOI
  24. [36]Anestis MD Selby EA Joiner TE. The role of urgency in maladaptive behaviors. Behav Res Ther (2007) 45: 3018– 29. 10.1016/j.brat.2007.08.012 17923108 · DOI
  25. [37]Cyders MA Smith GT Spillane NS Fischer S Annus AM Peterson C. Integration of impulsivity and positive mood to predict risky behavior: development and validation of a measure of positive urgency. Psychol Assess (2007) 19: 107– 18. 10.1037/1040-3590.19.1.107 17371126 · DOI · Paper page
  26. [38]Magid V Colder CR The UPPS impulsive behavior scale: factor structure and associations with college drinking. Pers Individ Dif (2007) 43: 1927– 37. 10.1016/j.paid.2007.06.013 · DOI
  27. [39]Papachristou H Nederkoorn C Havermans R Van der Horst M Jansen A Can’t stop the craving: the effect of impulsivity on cue-elicited craving for alcohol in heavy and light social drinkers. Psychopharmacology (2012) 219: 511– 8. 10.1007/s00213-011-2240-5 21384105 PMC3249167 · DOI
  28. [40]Whiteside SP Lynam DR. Understanding the role of impulsivity and externalizing psychopathology in alcohol abuse: application of the UPPS impulsive behavior scale. Exp Clin Psychopharmacol (2003) 11: 210– 7. 10.1037/1064-1297.11.3.210 12940500 · DOI · Paper page
  29. [41]Evren C Dalbudak E Evren B Demirci AC High risk of internet addiction and its relationship with lifetime substance use, psychological and behavioral problems among 10th grade adolescents. Psychiatr Danub (2014) 26: 330– 9. 25377367
  30. [43]Young KS Rogers RC The relationship between depression and internet addiction. Cyberpsychol Behav (1998) 1: 25– 8. 10.1089/cpb.1998.1.25 · DOI
  31. [44]Pérez EJ Monje MT de León JM Adicción o abuso del teléfono móvil. Revisión de la Literatura. Adicciones (2012) 24: 139– 52. 10.20882/adicciones.107 22648317 · DOI · Paper page
  32. [47]Bianchi A Phillips JG. Psychological predictors of problem mobile phone use. Cyberpsychol Behav (2005) 8: 39– 51. 10.1089/cpb.2005.8.39 15738692 · DOI · Paper page
  33. [50]Pierce T Social anxiety and technology: face-to-face communication versus technological communication among teens. Comput Human Behav (2009) 25: 1367– 72. 10.1016/j.chb.2009.06.003 · DOI
  34. [51]Sultan AJ Addiction to mobile text messaging applications is nothing to “lol” about. Soc Sci J (2014) 51: 57– 69. 10.1016/j.soscij.2013.09.003 · DOI
  35. [52]Igarashi T Motoyoshi T Takai J Yoshida T No mobile, no life: self-perception and text-message dependency among Japanese high school students. Comput Human Behav (2008) 24: 2311– 24. 10.1016/j.chb.2007.12.001 · DOI
  36. [53]Walsh S White KM Young RMD Needing to connect: the effect of self and others on young people’s involvement with their mobile phones. Aust J Psychol (2010) 62: 194– 203. 10.1080/00049530903567229 · DOI · Paper page
  37. [54]Walsh SP White KM Cox S Young RM Keeping in constant touch: the predictors of young Australians’ mobile phone involvement. Comput Human Behav (2011) 27: 333– 42. 10.1016/j.chb.2010.08.011 · DOI
  38. [57]Toda M Monden K Kubo K Morimoto K Mobile phone dependence and health-related lifestyle of university students. Soc Behav Pers (2006) 34: 1277– 84. 10.2224/sbp.2006.34.10.1277 · DOI
  39. [58]López-Fernández O Honrubia-Serrano ML Freixa-Blanxart M Adaptación española del “Mobile Phone Problem Use Scale” para población adolescente. Adicciones (2012) 24: 123– 30. 10.20882/adicciones.104 22648315 · DOI
  40. [61]Whiteside SP Lynam DR The five factor model and impulsivity: using a structural model of personality to understand impulsivity. Pers Individ Dif (2001) 30: 669– 89. 10.1016/S0191-8869(00)00064-7 · DOI · Paper page
  41. [62]Beck AT Beck RW Screening depressed patients in family practice. Postgrad Med (1972) 52: 81– 5. 10.1080/00325481.1972.11713319 4635613 · DOI
  42. [64]Fagerström KO Measuring degree of physical dependence to tobacco smoking with reference to individualization of treatment. Addict Behav (1978) 3: 235– 41. 10.1016/0306-4603(78)90024-2 735910 · DOI · Paper page
  43. [65]Heatherton TF Kozlowski LT Frecker RC Fagerstrom K-O The Fagerstromtest for nicotine dependence: a revision of the fagerstrom tolerance questionnaire. Br J Addict (1991) 86: 1119– 27. 10.1111/j.1360-0443.1991.tb01879.x 1932883 · DOI · Paper page
  44. [66]Verdejo-García A Lozano Ó Moya M Alcázar MÁ Pérez-García M Psychometric properties of a Spanish version of the UPPS-P impulsive behavior scale: reliability, validity and association with trait and cognitive impulsivity. J Pers Assess (2010) 92: 70– 7. 10.1080/00223890903382369 20013458 · DOI
  45. [67]d’Acremont M Linden MV Adolescent impulsivity: findings from a community sample. J Youth Adolesc (2005) 34: 427– 35. 10.1007/s10964-005-7260-1 · DOI
  46. [68]Beck AT Ward CH Mendelson M Mock J Erbaugh J An inventory for measuring depression. Arch Gen Psychiatry (1961) 4: 561– 71. 10.1001/archpsyc.1961.01710120031004 13688369 · DOI · Paper page
  47. [69]Spielberger CD Gorsuch RL Lushene R STAI Manual for the State-Trait Anxiety Inventory (“Self-Evaluation Questionnaire”). Palo Alto, CA: Consulting Psychologists Press (1970).
  48. [70]Foerster M Roser K Schoeni A Röösli M. Problematic mobile phone use in adolescents: derivation of a short scale MPPUS-10. Int J Public Health (2015) 60: 277– 86. 10.1007/s00038-015-0660-4 25645102 · DOI
  49. [71]Kalhori SM Mohammadi MR Alavi SS Jannatifard F Sepahbodi G Reisi MB Validation and psychometric properties of mobile phone problematic use scale (MPPUS) in University students of Tehran. Iran J Psychiatry (2015) 10: 25– 31. 26005477 PMC4434425
  50. [74]Park N Lee H Nature of youth smartphone addiction in Korea. J Commun Res (2014) 51: 100– 32. 10.22174/jcr.2014.51.1.100 · DOI
  51. [76]Takao M. Problematic mobile phone use and big-five personality domains. Indian J Community Med (2014) 39: 111– 3. 10.4103/0970-0218.132736 24963228 PMC4067922 · DOI
  52. [77]Takao M Takahashi S Kitamura M Addictive personality and problematic mobile phone use. CyberpsycholBehav (2009) 12: 1– 9. 19817562
  53. [80]Guillén-Riquelme A Buela-Casal G Actualización psicométrica y funcionamiento diferencial de los items en el State Trait Anxiety Inventory (STAI) [Psychometric update and differential functioning of items of the State Trait Anxiety Inventory (STAI)]. Psicothema (2011) 23: 510– 5. 21774907
  54. [81]Arnáiz A Bautista J Montesdeoca J Martel A León P Utilidad diagnóstica del cuestionario Alcohol Use Disorders Identification Test (AUDIT) para detectar el consumo de alcohol de riesgo en atención primaria. Med Clin (2001) 116: 121– 4. 10.1016/S0025-7753(01)71745-9 11222156 · DOI
  55. [82]Ángel Pérula-de Torres L Ángel Fernández-García J Arias-Vega R Muriel-Palomino M Márquez-Rebollo E Ruiz-Moral R Validez del cuestionario AUDIT para la detección de problemas relacionados con el consumo de alcohol en mujeres. Med Clin (2005) 125: 727– 30. 10.1016/S0025-7753(05)72170-9 16324465 · DOI
  56. [83]Rubio G Bermejo J Caballero MC Santo Domingo J [Validation of the Alcohol Use Disorder Identification Test (AUDIT)]. Rev Clin Esp (1998) 198(1): 11– 4. 9534342
  57. [84]Contel MC Gual AS Farran J Test para la identificación de trastornos por uso de alcohol (AUDIT): traducción y validación del AUDIT al catalán y castellano. Adicciones (1999) 11: 337– 47. 10.20882/adicciones.613 · DOI
  58. [85]De Meneses-Gaya C Zuardi AW de Marques JM Souza RM Loureiro SR Crippa JAS Psychometric qualities of the Brazilian versions of the Fagerstrom test for nicotine dependence and the heaviness of smoking index. Nicotine Tob Res (2009) 11: 1160– 5. 10.1093/ntr/ntp114 19596727 · DOI
  59. [86]Becoña E Vazquez FL The Fagerstrom test for nicotine dependence in a Spanish sample. Psychol Rep (1998) 83: 1455– 8. 10.2466/PR0.83.7.1455-1458 10079737 · DOI
  60. [87]Ghasempour A Mahmoodi-Aghdam M The role of depression and attachment styles in predicting students’ addiction to cell phones. Addict Health (2015) 7: 192– 7. 26885356 PMC4741240
  61. [88]Babadi-Akashe Z Zamani BE Abedini Y Akbari H Hedayati N The relationship between mental health and addiction to mobile phones among University students of Shahrekord, Iran. Addict Health (2014) 6: 93– 9. 25984275 PMC4354213
  62. [89]Augner C Hacker GW. Associations between problematic mobile phone use and psychological parameters in young adults. Int J Public Health (2012) 57: 437– 41. 10.1007/s00038-011-0234-z 21290162 · DOI · Paper page
  63. [90]Tavakolizadeh J Atarodi A Ahmadpour S Pourgheisar A The prevalence of excessive mobile phone use and its relation with mental health status and demographic factors among the students of Gonabad university of medical sciences in 2011-2012. Razavi Int J Med (2014) 2: e15527 10.5812/rijm.15527 · DOI · Paper page
  64. [91]Giota KG Kleftaras G The role of personality and depression in problematic use of social networking sites in Greece. Cyberpsychology (2013) 7 10.5817/CP2013-3-6 · DOI · Paper page
  65. [93]Toda M Ezoe S Multifactorial study of mobile phone dependence in medical students: relationship to health-related lifestyle, Type A behavior, and depressive state. Open J Prev Med (2013) 03: 99– 103. 10.4236/ojpm.2013.31012 · DOI
  66. [94]Kim JH Seo M David P Alleviating depression only to become problematic mobile phone users: can face-to-face communication be the antidote? Comput Human Behav (2015) 51: 440– 7. 10.1016/j.chb.2015.05.030 · DOI
  67. [95]Billieux J Van der Linden M Ceschi G. Which dimensions of impulsivity are related to cigarette craving? Addict Behav (2007) 32: 1189– 99. 10.1016/j.addbeh.2006.08.007 16997490 · DOI
  68. [96]Mottram AJ Fleming MJ. Extraversion, impulsivity, and online group membership as predictors of problematic internet use. Cyberpsychol Behav (2009) 12: 319– 21. 10.1089/cpb.2007.0170 19445635 · DOI
  69. [97]Roberts JA Pirog SF. A preliminary investigation of materialism and impulsiveness as predictors of technological addictions among young adults. J Behav Addict (2013) 2: 56– 62. 10.1556/JBA.1.2012.011 26165772 · DOI
  70. [99]Verdejo-García A Bechara A Recknor EC Pérez-García M. Negative emotion-driven impulsivity predicts substance dependence problems. Drug Alcohol Depend (2007) 91: 213– 9. 10.1016/j.drugalcdep.2007.05.025 17629632 · DOI
  71. [101]Malmberg M Kleinjan M Overbeek G Vermulst AA Lammers J Engels RCME. Are there reciprocal relationships between substance use risk personality profiles and alcohol or tobacco use in early adolescence? Addict Behav (2013) 38: 2851– 9. 10.1016/j.addbeh.2013.08.003 24018230 · DOI
  72. [102]Reid DJ Reid FJM. Text or talk? Social anxiety, loneliness, and divergent preferences for cell phone use. Cyberpsychol Behav (2007) 10: 424– 35. 10.1089/cpb.2006.9936 17594267 · DOI
  73. [103]Chiu SI The relationship between life stress and smartphone addiction on taiwanese university student: a mediation model of learning self-Efficacy and social self-Efficacy. Comput Human Behav (2014) 34: 49– 57. 10.1016/j.chb.2014.01.024 · DOI · Paper page
  74. [107]Lee YK Chang CT Lin Y Cheng ZH The dark side of smartphone usage: psychological traits, compulsive behavior and technostress. Comput Human Behav (2014) 31: 373– 83. 10.1016/j.chb.2013.10.047 · DOI
  75. [108]Bian M Leung L Linking loneliness, shyness, smartphone addiction symptoms, and patterns of smartphone use to social capital. Soc Sci Comput Rev (2014) 33: 61– 79. 10.1177/0894439314528779 · DOI · Paper page
  76. [109]Hong FY Chiu SI Huang DH A model of the relationship between psychological characteristics, mobile phone addiction and use of mobile phones by Taiwanese university female students. Comput Human Behav (2012) 28: 2152– 9. 10.1016/j.chb.2012.06.020 · DOI · Paper page

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Authors
De-Sola, J., Talledo, H., Rubio, G., & de Fonseca, F. R.
Affiliations
  • Universidad Complutense de Madrid (ES)
  • Hospital Universitario 12 De Octubre (ES)
Corresponding author
  • De-Sola, José
  • Rubio, Gabriel
Venue
Frontiers in Psychiatry
Published
2017-02-03
Volume
8
Pages
11-11
ISSN
1664-0640 (ISSN-L)
OpenAlex
W2585224644
Cited by
39
References
18
Citations by year
2026: 1 · 2025: 2 · 2024: 4 · 2023: 5 · 2022: 4 · 2021: 6 · 2020: 4 · 2019: 6 · 2018: 6 · 2017: 1
FWCI
11.91
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • Frontiers in Psychiatry (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (submittedVersion, cc-by)
  • RISalud Institutional Health Repository of Andalucía (submittedVersion, cc-by)
  • LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (submittedVersion, other-oa)
  • LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (submittedVersion, cc-by-nc-nd)
  • Americanae (AECID Library) (submittedVersion, cc-by-nc-nd)
  • RISalud Institutional Health Repository of Andalucía (submittedVersion, other-oa)
Funders
  • Junta de Andalucía (CTS-8221)
  • Instituto de Salud Carlos III (RD16/0017, RD16/0017/0001)
  • European Regional Development Fund (CTS-8221, RD16/0017/0001)
Topics
  • Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
  • Social Sciences › Psychology › Clinical Psychology › Sexuality, Behavior, and Technology
  • Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
Keywords
problematic mobile phone use, state anxiety, depression, impulsivity, alcohol consumption, positive urgency, negative urgency, tobacco use, Spanish population

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