• This record comes from PubMed

Differences between problematic internet and smartphone use and their psychological risk factors in boys and girls: a network analysis

. 2023 Jun 12 ; 17 (1) : 69. [epub] 20230612

Status PubMed-not-MEDLINE Language English Country Great Britain, England Media electronic

Document type Journal Article

Grant support
MUNI/A/1525/2021 Masaryk University
Contract No. APVV-18-0070 Slovak Research and Development Support Agency

Links

PubMed 37309011
PubMed Central PMC10262453
DOI 10.1186/s13034-023-00620-z
PII: 10.1186/s13034-023-00620-z
Knihovny.cz E-resources

BACKGROUND: Problematic internet and smartphone use are significant health challenges for contemporary adolescents. However, their mutual relationship is unclear because studies investigating these phenomena are scarce. The present study aimed to investigate the psychological risks and protective factors associated with problematic internet and smartphone use. METHOD: A representative sample of Slovak adolescents (N = 4070, Mage = 14.38, SDage = 0.77, 50.5% girls) from the Health Behavior in School-aged Children project was analyzed using network analysis separately for boys and girls. RESULTS: The results showed weak (for boys) and moderate (for girls) associations between problematic internet use and problematic smartphone use. Risk factors showed stronger associations with problematic internet use than problematic smartphone use, with the exception of fear of missing out, which was strongly associated with problematic smartphone use. The central nodes were externalizing problems for boys and internalizing problems, externalizing problems, and resilience for girls. CONCLUSION: The study concluded that while problematic internet use and problematic smartphone use are somewhat related, they differ at the psychological level. In addition, the phenomena are rather different between boys and girls.

See more in PubMed

Livingstone S, Haddon L, Görzig A, Ólafsson K. Risks and safety on the internet: the perspective of European children: full findings and policy implications from the EU Kids Online survey of 9–16 year olds and their parents in 25 countries. LSE, EU Kids Online Network, London, UK; 2011.

Hollis C, Livingstone S, Sonuga-Barke E. Editorial: the role of digital technology in children and young people’s mental health—A triple-edged sword? J Child Psychol Psychiatry. 2020;61:837–841. doi: 10.1111/jcpp.13302. PubMed DOI

Ferreira C, Ferreira H, Vieira MJ, Costeira M, Branco L, Dias Â, Macedo L. Epidemiologia do Uso de Internet numa População Adolescente e Sua Relação com Hábitos de Sono. Acta Med Port. 2017;30:524–533. doi: 10.20344/amp.8205. PubMed DOI

Aghasi M, Matinfar A, Golzarand M, Salari-Moghaddam A, Ebrahimpour-Koujan S. Internet use in relation to overweight and obesity: a systematic review and meta-analysis of cross-sectional studies. Adv Nutr. 2020;11:349–356. doi: 10.1093/advances/nmz073. PubMed DOI PMC

Rozgonjuk D, Täht K. To what extent does internet use affect academic performance? Using evidence from the large-scale PISA study. Annu Rev CyberTherapy Telemed. 2017;15:39–44.

Jorgenson AG, Hsiao RC-J, Yen C-F. Internet addiction and other behavioral addictions. Child Adolesc Psychiatr Clin N Am. 2016;25:509–520. doi: 10.1016/j.chc.2016.03.004. PubMed DOI

Kuss D, Griffiths M, Karila L, Billieux J. Internet addiction: a systematic review of epidemiological research for the last decade. Curr Pharm Des. 2014;20:4026–4052. doi: 10.2174/13816128113199990617. PubMed DOI

Bickham DS. Current research and viewpoints on internet addiction in adolescents. Curr Pediatr Rep. 2021;9:1–10. doi: 10.1007/s40124-020-00236-3. PubMed DOI PMC

Sahu M, Gandhi S, Sharma MK. Mobile phone addiction among children and adolescents: a systematic review. J Addict Nurs. 2019;30:261–268. doi: 10.1097/JAN.0000000000000309. PubMed DOI

Tateno M, Teo AR, Ukai W, Kanazawa J, Katsuki R, Kubo H, Kato TA. Internet addiction, smartphone addiction, and Hikikomori trait in Japanese young adult: social isolation and social network. Front Psychiatry. 2019;10:455. doi: 10.3389/fpsyt.2019.00455. PubMed DOI PMC

Billieux J. Problematic use of the mobile phone: a literature review and a pathways model. Curr Psychiatry Rev. 2012;8:299–307. doi: 10.2174/157340012803520522. DOI

Fineberg N, Demetrovics Z, Stein D, et al. Manifesto for a European research network into problematic usage of the internet. Eur Neuropsychopharmacol. 2018;28:1232–1246. doi: 10.1016/j.euroneuro.2018.08.004. PubMed DOI PMC

Heather N. Overview of addiction as a disorder of choice and future prospects. In: Heather N, Segal G, editors. Addiction and choice. Oxford: Oxford University Press; 2016. pp. 463–482.

Choi S-W, Kim D-J, Choi J-S, Ahn H, Choi E-J, Song W-Y, Kim S, Youn H. Comparison of risk and protective factors associated with smartphone addiction and Internet addiction. J Behav Addict. 2015;4:308–314. doi: 10.1556/2006.4.2015.043. PubMed DOI PMC

Kwon M, Lee J-Y, Won W-Y, Park J-W, Min J-A, Hahn C, Gu X, Choi J-H, Kim D-J. Development and validation of a Smartphone Addiction Scale (SAS) PLoS ONE. 2013;8:e56936. doi: 10.1371/journal.pone.0056936. PubMed DOI PMC

Lachmann B, Sindermann C, Sariyska RY, Luo R, Melchers MC, Becker B, Cooper AJ, Montag C. The role of empathy and life satisfaction in internet and smartphone use disorder. Front Psychol. 2018;9:398. doi: 10.3389/fpsyg.2018.00398. PubMed DOI PMC

Škařupová K, Ólafsson K, Blinka L. The effect of smartphone use on trends in European adolescents’ excessive internet use. Behav Inf Technol. 2016;35:68–74. doi: 10.1080/0144929X.2015.1114144. DOI

Marino C, Canale N, Melodia F, Spada MM, Vieno A. The overlap between problematic smartphone use and problematic social media use: a systematic review. Curr Addict Rep. 2021;8:469–480. doi: 10.1007/s40429-021-00398-0. DOI

Blinka L, Škařupová K, Ševčíková A, Wölfling K, Müller KW, Dreier M. Excessive internet use in European adolescents: What determines differences in severity? Int J Public Health. 2015;60:249–256. doi: 10.1007/s00038-014-0635-x. PubMed DOI

Rozgonjuk D, Davis KL, Montag C. The roles of primary emotional systems and need satisfaction in problematic Internet and smartphone use: a network perspective. Front Psychol. 2021;12:709805. doi: 10.3389/fpsyg.2021.709805. PubMed DOI PMC

Mok JY, Choi S-W, Kim D-J, Choi J-S, Lee J-W, Ahn H-J, Choi E-J, Song W-Y. Latent class analysis on internet and smartphone addiction in college students. Neuropsychiatr Dis Treat. 2014;817:1. PubMed PMC

Lachmann B, Duke É, Sariyska R, Montag C. Who’s addicted to the smartphone and/or the Internet? Psychol Pop Media Cult. 2019;8:182–189. doi: 10.1037/ppm0000172. DOI

Ho RC, Zhang MW, Tsang TY, et al. The association between internet addiction and psychiatric co-morbidity: a meta-analysis. BMC Psychiatry. 2014;14:183. doi: 10.1186/1471-244X-14-183. PubMed DOI PMC

Koo HJ, Kwon J-H. Risk and protective factors of internet addiction: a meta-analysis of empirical studies in Korea. Yonsei Med J. 2014;55:1691. doi: 10.3349/ymj.2014.55.6.1691. PubMed DOI PMC

Lam LT. Risk factors of internet addiction and the health effect of internet addiction on adolescents: a systematic review of longitudinal and prospective studies. Curr Psychiatry Rep. 2014;16:508. doi: 10.1007/s11920-014-0508-2. PubMed DOI

Cho H-Y, Kim DJ, Park JW. Stress and adult smartphone addiction: mediation by self-control, neuroticism, and extraversion. Stress Health. 2017;33:624–630. doi: 10.1002/smi.2749. PubMed DOI

Sage M, Randolph K, Fitch D, Sage T. Internet use and resilience in adolescents: a systematic review. Res Soc Work Pract. 2021;31:171–179. doi: 10.1177/1049731520967409. DOI

Lee RSC, Hoppenbrouwers S, Franken I. A systematic meta-review of impulsivity and compulsivity in addictive behaviors. Neuropsychol Rev. 2019;29:14–26. doi: 10.1007/s11065-019-09402-x. PubMed DOI

Zhou Z, Zhu H, Li C, Wang J. Internet addictive individuals share impulsivity and executive dysfunction with alcohol-dependent patients. Front Behav Neurosci. 2014 doi: 10.3389/fnbeh.2014.00288. PubMed DOI PMC

Modecki KL, Zimmer-Gembeck MJ, Guerra N. Emotion regulation, coping, and decision making: three linked skills for preventing externalizing problems in adolescence. Child Dev. 2017;88:417–426. doi: 10.1111/cdev.12734. PubMed DOI

Cerutti R, Spensieri V, Presaghi F, Valastro C, Fontana A, Guidetti V. An exploratory study on internet addiction, somatic symptoms and emotional and behavioral functioning in school-aged adolescents. Clin Neuropsychiatry. 2017;14:374–383.

Milani L, La Torre G, Fiore M, Grumi S, Gentile DA, Ferrante M, Miccoli S, Di Blasio P. Internet gaming addiction in adolescence: risk factors and maladjustment correlates. Int J Ment Health Addic. 2018;16:888–904. doi: 10.1007/s11469-017-9750-2. DOI

Ozturk FO, Ekinci M, Ozturk O, Canan F. The relationship of affective temperament and emotional-behavioral difficulties to internet addiction in Turkish teenagers. ISRN Psychiatry. 2013;2013:1–6. doi: 10.1155/2013/961734. PubMed DOI PMC

Riehm KE, Feder KA, Tormohlen KN, Crum RM, Young AS, Green KM, Pacek LR, La Flair LN, Mojtabai R. Associations between time spent using social media and internalizing and externalizing problems among US youth. JAMA Psychiat. 2019;76:1266. doi: 10.1001/jamapsychiatry.2019.2325. PubMed DOI PMC

Durbeej N, Sörman K, Norén Selinus E, Lundström S, Lichtenstein P, Hellner C, Halldner L. Trends in childhood and adolescent internalizing symptoms: results from Swedish population based twin cohorts. BMC Psychol. 2019;7:50. doi: 10.1186/s40359-019-0326-8. PubMed DOI PMC

Kim S-G, Park J, Kim H-T, Pan Z, Lee Y, McIntyre RS. The relationship between smartphone addiction and symptoms of depression, anxiety, and attention-deficit/hyperactivity in South Korean adolescents. Ann Gen Psychiatry. 2019;18:1. doi: 10.1186/s12991-019-0224-8. PubMed DOI PMC

Leo K, Kewitz S, Wartberg L, Lindenberg K. Depression and social anxiety predict internet use disorder symptoms in children and adolescents at 12-month follow-up: results from a longitudinal study. Front Psychol. 2021;12:787162. doi: 10.3389/fpsyg.2021.787162. PubMed DOI PMC

Sevelko K, Bischof G, Bischof A, Besser B, John U, Meyer C, Rumpf H-J. The role of self-esteem in Internet addiction within the context of comorbid mental disorders: findings from a general population-based sample. J Behav Addict. 2018;7:976–984. doi: 10.1556/2006.7.2018.130. PubMed DOI PMC

Velezmoro R, Lacefield K, Roberti JW. Perceived stress, sensation seeking, and college students’ abuse of the Internet. Comput Hum Behav. 2010;26:1526–1530. doi: 10.1016/j.chb.2010.05.020. DOI

Matar Boumosleh J, Jaalouk D. Depression, anxiety, and smartphone addiction in university students—A cross sectional study. PLoS ONE. 2017;12:e0182239. doi: 10.1371/journal.pone.0182239. PubMed DOI PMC

Rębisz S, Sikora I. Internet addiction in adolescents. Educ Pract Theory. 2016;11:194–204.

Danneel S, Nelemans S, Spithoven A, Bastin M, Bijttebier P, Colpin H, Van Den Noortgate W, Van Leeuwen K, Verschueren K, Goossens L. Internalizing problems in adolescence: linking loneliness, social anxiety symptoms, and depressive symptoms over time. J Abnorm Child Psychol. 2019;47:1691–1705. doi: 10.1007/s10802-019-00539-0. PubMed DOI

Liu J, Bowker JC, Coplan RJ, Yang P, Li D, Chen X. Evaluating links among shyness, peer relations, and internalizing problems in Chinese young adolescents. J Res Adolesc. 2019;29:696–709. doi: 10.1111/jora.12406. PubMed DOI

Đurišić M, Gajić J. Social functioning of students with internalizing behavioral problems. Res Pedagogy. 2016;6:32–42. doi: 10.17810/2015.33. DOI

Beyens I, Frison E, Eggermont S. “I don’t want to miss a thing”: adolescents’ fear of missing out and its relationship to adolescents’ social needs, Facebook use, and Facebook related stress. Comput Hum Behav. 2016;64:1–8. doi: 10.1016/j.chb.2016.05.083. DOI

Przybylski AK, Murayama K, DeHaan CR, Gladwell V. Motivational, emotional, and behavioral correlates of fear of missing out. Comput Hum Behav. 2013;29:1841–1848. doi: 10.1016/j.chb.2013.02.014. DOI

Tomczyk Ł, Selmanagic-Lizde E. Fear of missing out (FOMO) among youth in Bosnia and Herzegovina—scale and selected mechanisms. Child Youth Serv Rev. 2018;88:541–549. doi: 10.1016/j.childyouth.2018.03.048. DOI

Gil F, Chamarro A, Oberst U. Addiction to online social networks: A question of “Fear of Missing Out”? J Behav Addict. 2016;4:51.

Alt D, Boniel-Nissim M. Using multidimensional scaling and PLS-SEM to assess the relationships between personality traits, problematic internet use, and fear of missing out. Behav Inf Technol. 2018;37:1264–1276. doi: 10.1080/0144929X.2018.1502353. DOI

Elhai JD, Levine JC, Dvorak RD, Hall BJ. Fear of missing out, need for touch, anxiety and depression are related to problematic smartphone use. Comput Hum Behav. 2016;63:509–516. doi: 10.1016/j.chb.2016.05.079. DOI

Southwick SM, Charney DS. The science of resilience: implications for the prevention and treatment of depression. Science. 2012;338:79–82. doi: 10.1126/science.1222942. PubMed DOI

Mayordomo T, Viguer P, Sales A, Satorres E, Meléndez JC. Resilience and coping as predictors of well-being in adults. J Psychol. 2016;150:809–821. doi: 10.1080/00223980.2016.1203276. PubMed DOI

Bilgin O, Taş İ. Effects of perceived social support and psychological resilience on social media addiction among university students. Univers J Educ Res. 2018;6:751–758. doi: 10.13189/ujer.2018.060418. DOI

Liao YQ, Ye BJ, Jin P, Xu Q, Li AM. The effect of resilience onmobile phone addiction among minority preparatory students in HanDistrict: moderated mediating effect. Psychol Dev Educ. 2017;33:487–495.

Robertson TW, Yan Z, Rapoza KA. Is resilience a protective factor of internet addiction? Comput Hum Behav. 2018;78:255–260. doi: 10.1016/j.chb.2017.09.027. DOI

Zhou P, Zhang C, Liu J, Wang Z. The relationship between resilience and internet addiction: a multiple mediation model through peer relationship and depression. Cyberpsychol Behav Soc Netw. 2017;20:634–639. doi: 10.1089/cyber.2017.0319. PubMed DOI

Li D, Zhang W, Li X, Zhen S, Wang Y. Stressful life events and problematic internet use by adolescent females and males: a mediated moderation model. Comput Hum Behav. 2010;26:1199–1207. doi: 10.1016/j.chb.2010.03.031. DOI

Inchley J, Currie D, Cosma A, Samdal O. Health behaviour in school-aged children (HBSC) study protocol: background, methodology and mandatory items for the 2017/18 survey. St Andrews: CAHRU; 2018.

Škařupová K, Ólafsson K, Blinka L. Excessive internet use and its association with negative experiences: quasi-validation of a short scale in 25 European countries. Comput Hum Behav. 2015;53:118–123. doi: 10.1016/j.chb.2015.06.047. DOI

Griffiths M. A ‘components’ model of addiction within a biopsychosocial framework. J Subst Use. 2005;10:191–197. doi: 10.1080/14659890500114359. DOI

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;60:277–286. doi: 10.1007/s00038-015-0660-4. PubMed DOI

López-Fernández O, Honrubia-Serrano ML, Freixa-Blanxart M. Adaptación española del “Mobile Phone Problem Use Scale” para población adolescente. Adicciones. 2012;24:123. doi: 10.20882/adicciones.104. PubMed DOI

Goodman R. The strengths and difficulties questionnaire: a research note. J Child Psychol Psychiatry. 1997;38:581–586. doi: 10.1111/j.1469-7610.1997.tb01545.x. PubMed DOI

Goodman A, Lamping DL, Ploubidis GB. When to use broader internalising and externalising subscales instead of the hypothesised five subscales on the Strengths and Difficulties Questionnaire (SDQ): data from British parents, teachers and children. J Abnorm Child Psychol. 2010;38:1179–1191. doi: 10.1007/s10802-010-9434-x. PubMed DOI

Kazdin AE, French NH, Unis AS, Esveldt-Dawson K, Sherick RB. Hopelessness, depression, and suicidal intent among psychiatrically disturbed inpatient children. J Consult Clin Psychol. 1983;51:504–510. doi: 10.1037/0022-006X.51.4.504. PubMed DOI

Liebenberg L, Ungar M, LeBlanc JC. The CYRM-12: a brief measure of resilience. Can J Public Health. 2013;104:e131–e135. doi: 10.1007/BF03405676. PubMed DOI PMC

R Core Team. R: a language and environment for statistical computing; 2021.

Van Buuren S, Groothuis-Oudshoorn K. mice: multivariate imputation by chained equations in R. J Stat Soft. 2011 doi: 10.18637/jss.v045.i03. DOI

Revelle W. Psych: procedures for personality and psychological research. Evanston: Northwestern University; 2021.

Epskamp S, Waldorp LJ, Mõttus R, Borsboom D. The Gaussian graphical model in cross-sectional and time-series data. Multivariate Beha Res. 2018;53:453–480. doi: 10.1080/00273171.2018.1454823. PubMed DOI

Rodebaugh TL, Tonge NA, Piccirillo ML, et al. Does centrality in a cross-sectional network suggest intervention targets for social anxiety disorder? J Consult and Clin Psychol. 2018;86:831–844. doi: 10.1037/ccp0000336. PubMed DOI PMC

Costantini G, Epskamp S, Borsboom D, Perugini M, Mõttus R, Waldorp LJ, Cramer AOJ. State of the aRt personality research: a tutorial on network analysis of personality data in R. J Res Pers. 2015;54:13–29. doi: 10.1016/j.jrp.2014.07.003. DOI

Epskamp S, Fried EI. A tutorial on regularized partial correlation networks. Psychol Methods. 2018;23:617–634. doi: 10.1037/met0000167. PubMed DOI

Epskamp S, Borsboom D, Fried EI. Estimating psychological networks and their accuracy: a tutorial paper. Behav Res. 2018;50:195–212. doi: 10.3758/s13428-017-0862-1. PubMed DOI PMC

Epskamp S, Cramer AOJ, Waldorp LJ, Schmittmann VD, Borsboom D. Qgraph: network visualizations of relationships in psychometric data. J Stat Soft. 2012 doi: 10.18637/jss.v048.i04. DOI

Haslbeck JMB, Waldorp LJ. Mgm: estimating time-varying mixed graphical models in high-dimensional data; 2015. 10.48550/ARXIV.1510.06871.

Baggio S, Starcevic V, Studer J, Simon O, Gainsbury SM, Gmel G, Billieux J. Technology-mediated addictive behaviors constitute a spectrum of related yet distinct conditions: a network perspective. Psychol of Addict Behav. 2018;32:564–572. doi: 10.1037/adb0000379. PubMed DOI

Rozgonjuk D, Schivinski B, Pontes HM, Montag C. Problematic online behaviors among gamers: the links between problematic gaming, gambling, shopping, pornography use, and social networking. Int J Ment Health Addic. 2023;21:240–257. doi: 10.1007/s11469-021-00590-3. DOI

Scott RA, Stuart J, Barber BL. What predicts online disinhibition? Examining perceptions of protection and control online and the moderating role of social anxiety. Cyberpsychol Behav Soc Netw. 2022;25:294–300. doi: 10.1089/cyber.2021.0250. PubMed DOI

Verduyn P, Gugushvili N, Kross E. Do social networking sites influence well-being? The extended active-passive model. Curr Dir Psychol Sci. 2022;31:62–68. doi: 10.1177/09637214211053637. DOI

Rozgonjuk D, Ryan T, Kuljus J-K, Täht K, Scott GG. Social comparison orientation mediates the relationship between neuroticism and passive Facebook use. Cyberpsychology. 2019 doi: 10.5817/CP2019-1-2. DOI

Jeong B, Lee JY, Kim BM, Park E, Kwon J-G, Kim D-J, Lee Y, Choi J-S, Lee D. Associations of personality and clinical characteristics with excessive Internet and smartphone use in adolescents: a structural equation modeling approach. Addict Behav. 2020;110:106485. doi: 10.1016/j.addbeh.2020.106485. PubMed DOI

Rozgonjuk D, Sindermann C, Elhai JD, Montag C. Fear of missing out (FoMO) and social media’s impact on daily-life and productivity at work: Do WhatsApp, Facebook, Instagram, and Snapchat use disorders mediate that association? Addict Behav. 2020;110:106487. doi: 10.1016/j.addbeh.2020.106487. PubMed DOI

Milyavskaya M, Saffran M, Hope N, Koestner R. Fear of missing out: prevalence, dynamics, and consequences of experiencing FOMO. Motiv Emot. 2018;42:725–737. doi: 10.1007/s11031-018-9683-5. DOI

Twenge JM, Martin GN. Gender differences in associations between digital media use and psychological well-being: Evidence from three large datasets. J Adolesc. 2020;79:91–102. doi: 10.1016/j.adolescence.2019.12.018. PubMed DOI

Flook L. Gender differences in adolescents’ daily interpersonal events and well-being. Child Dev. 2011;82:454–461. doi: 10.1111/j.1467-8624.2010.01521.x. PubMed DOI

Yau JC, Reich SM. “It’s just a lot of work”: adolescents’ self-presentation norms and practices on Facebook and Instagram. J Res Adolesc. 2019;29:196–209. doi: 10.1111/jora.12376. PubMed DOI

Fox J, Vendemia MA. Selective self-presentation and social comparison through photographs on social networking sites. Cyberpsychol Behav Soc Netw. 2016;19:593–600. doi: 10.1089/cyber.2016.0248. PubMed DOI

Hogue JV, Mills JS. The effects of active social media engagement with peers on body image in young women. Body Image. 2019;28:1–5. doi: 10.1016/j.bodyim.2018.11.002. PubMed DOI

Lee KE, Kim S-H, Ha T-Y, Yoo Y-M, Han J-J, Jung J-H, Jang J-Y. Dependency on smartphone use and its association with anxiety in Korea. Public Health Rep. 2016;131:411–419. doi: 10.1177/003335491613100307. PubMed DOI PMC

Yang Z, Asbury K, Griffiths MD. Do Chinese and British university students use smartphones differently? A cross-cultural mixed methods study. Int J Ment Health Addic. 2019;17:644–657. doi: 10.1007/s11469-018-0024-4. DOI

Dufour M, Brunelle N, Tremblay J, Leclerc D, Cousineau M-M, Khazaal Y, Légaré A-A, Rousseau M, Berbiche D. Gender difference in internet use and internet problems among Quebec high school students. Can J Psychiatry. 2016;61:663–668. doi: 10.1177/0706743716640755. PubMed DOI PMC

Montag C, Błaszkiewicz K, Sariyska R, Lachmann B, Andone I, Trendafilov B, Eibes M, Markowetz A. Smartphone usage in the 21st century: Who is active on WhatsApp? BMC Res Notes. 2015;8:331. doi: 10.1186/s13104-015-1280-z. PubMed DOI PMC

Rigelsky M, Megyesiova S, Ivankova V, Al Khouri I, Sejvl J. Gender differences in internet addiction among university students in the Slovak Republic. Adiktologie. 2021;21:35–42.

Shan X, Ou Y, Ding Y, Yan H, Chen J, Zhao J, Guo W. Associations between internet addiction and gender, anxiety, coping styles and acceptance in university freshmen in South China. Front Psychiatry. 2021;12:558080. doi: 10.3389/fpsyt.2021.558080. PubMed DOI PMC

Ha Y-M, Hwang WJ. Gender differences in internet addiction associated with psychological health indicators among adolescents using a national web-based survey. Int J Ment Health Addict. 2014;12:660–669. doi: 10.1007/s11469-014-9500-7. DOI

Hetzel-Riggin MD, Pritchard JR. Predicting problematic internet use in men and women: the contributions of psychological distress, coping style, and body esteem. Cyberpsychol Behav Soc Netw. 2011;14:519–525. doi: 10.1089/cyber.2010.0314. PubMed DOI

Procházka R, Suchá J, Dostál D, Dominik T, Dolejš M, Šmahaj J, Kolařík M, Glaser O, Viktorová L, Friedlová M. Internet addiction among Czech adolescents. Psych J. 2021;10:679–687. doi: 10.1002/pchj.454. PubMed DOI

Aanesen F, Meland E, Torp S. Gender differences in subjective health complaints in adolescence: the roles of self-esteem, stress from schoolwork and body dissatisfaction. Scand J Public Health. 2017;45:389–396. doi: 10.1177/1403494817690940. PubMed DOI

Campbell OLK, Bann D, Patalay P. The gender gap in adolescent mental health: a cross-national investigation of 566,829 adolescents across 73 countries. SSM Popul Health. 2021;13:100742. doi: 10.1016/j.ssmph.2021.100742. PubMed DOI PMC

Van Droogenbroeck F, Spruyt B, Keppens G. Gender differences in mental health problems among adolescents and the role of social support: results from the Belgian health interview surveys 2008 and 2013. BMC Psychiatry. 2018;18:6. doi: 10.1186/s12888-018-1591-4. PubMed DOI PMC

Haugen T, Johansen BT, Ommundsen Y. The role of gender in the relationship between physical activity, appearance evaluation and psychological distress. Child Adolesc Ment Health. 2014;19:24–30. doi: 10.1111/j.1475-3588.2012.00671.x. PubMed DOI

Klinger DA, Freeman JG, Bilz L, Liiv K, Ramelow D, Sebok SS, Samdal O, Dur W, Rasmussen M. Cross-national trends in perceived school pressure by gender and age from 1994 to 2010. Eur J Public Health. 2015;25:51–56. doi: 10.1093/eurpub/ckv027. PubMed DOI

Patel V, Flisher AJ, Hetrick S, McGorry P. Mental health of young people: a global public-health challenge. Lancet. 2007;369:1302–1313. doi: 10.1016/S0140-6736(07)60368-7. PubMed DOI

Rice SM, Purcell R, McGorry PD. Adolescent and young adult male mental health: transforming system failures into proactive models of engagement. J Adolesc Health. 2018;62:S9–S17. doi: 10.1016/j.jadohealth.2017.07.024. PubMed DOI

Evans J, Frank B, Oliffe JL, Gregory D. Health, Illness, Men and Masculinities (HIMM): a theoretical framework for understanding men and their health. J Men’s Health. 2011;8:7–15.

Wang B, Yao N, Zhou X, Liu J, Lv Z. The association between attention deficit/hyperactivity disorder and internet addiction: a systematic review and meta-analysis. BMC Psychiatry. 2017;17:260. doi: 10.1186/s12888-017-1408-x. PubMed DOI PMC

Lee M, Chung SJ, Lee Y, Park S, Kwon J-G, Kim DJ, Lee D, Choi J-S. Investigation of correlated internet and smartphone addiction in adolescents: copula regression analysis. Int J Environ Res Public Health. 2020;17:5806. doi: 10.3390/ijerph17165806. PubMed DOI PMC

Panagiotidi M, Overton P. Attention deficit hyperactivity symptoms predict problematic mobile phone use. Curr Psychol. 2022;41:2765–2771. doi: 10.1007/s12144-020-00785-2. DOI

Peterka-Bonetta J, Sindermann C, Elhai JD, Montag C. Personality associations with smartphone and internet use disorder: a comparison study including links to impulsivity and social anxiety. Front Public Health. 2019;7:127. doi: 10.3389/fpubh.2019.00127. PubMed DOI PMC

Lau TWI, Lim CG, Acharryya S, Lim-Ashworth N, Tan YR, Fung SSD. Gender differences in externalizing and internalizing problems in Singaporean children and adolescents with attention-deficit/hyperactivity disorder. Child Adolesc Psychiatry Ment Health. 2021;15:3. doi: 10.1186/s13034-021-00356-8. PubMed DOI PMC

Sukhodolsky DG, Gladstone TR, Marsh CL, Cimino KR. Behavioral interventions for irritability in children and adolescents. In: Roy AK, Brotman MA, Leibenluft E, editors. Irritability in pediatric psychopathology. Oxford: Oxford University Press; 2019. pp. 255–274.

Van Der Stouwe T, Gubbels J, Castenmiller YL, Van Der Zouwen M, Asscher JJ, Hoeve M, Van Der Laan PH, Stams GJJM. The effectiveness of social skills training (SST) for juvenile delinquents: a meta-analytical review. J Exp Criminol. 2021;17:369–396. doi: 10.1007/s11292-020-09419-w. DOI

Patafio B, Miller P, Baldwin R, Taylor N, Hyder S. A systematic mapping review of interventions to improve adolescent mental health literacy, attitudes and behaviours. Early Interv Psychiatry. 2021;15:1470–1501. doi: 10.1111/eip.13109. PubMed DOI

Löchner N, Bückle S, Olderbak S. Affect-specific empathy: experience sampling and multilevel structural equation modeling provide a within-person perspective. Emotion. 2022 doi: 10.1037/emo0001105. PubMed DOI

Beck ED, Jackson JJ. Idiographic traits: a return to Allportian approaches to personality. Curr Dir Psychol Sci. 2020;29:301–308. doi: 10.1177/0963721420915860. DOI

Pons M, Bennasar-Veny M, Yañez AM. Maternal education level and excessive recreational screen time in children: a mediation analysis. Int J Environ Res Public Health. 2020;17:8930. doi: 10.3390/ijerph17238930. PubMed DOI PMC

Vaala Sarah E, Mothers' cognitions and structural life circumstances as predictors of infants' and toddlers' television and video exposure (2012). Dissertations available from ProQuest. AAI3509498. https://repository.upenn.edu/dissertations/AAI3509498

Find record

Citation metrics

Loading data ...

Archiving options

Loading data ...