References
- Adan A, Caci H, Prat G. 2005. Reliability of the Spanish version of the composite scale of morningness. Eur Psychiatry J Assoc Eur Psychiatr. 20(7):503–509. doi:https://doi.org/10.1016/j.eurpsy.2005.01.003
- Akin A, İskender M. 2011. Internet addiction and depression, anxiety and stress. Int Online J Educ Sci. 3(1):138–148.
- Andreassen CS, Griffiths M, Gjertsen SR, Krossbakken SK, Pallesen S. 2013. The relationships between behavioral addictions and the five-factor model of personality. J Behav Addict. 2(2):90–99. doi:https://doi.org/10.1556/JBA.2.2013.003
- Au J, Reece J. 2017. The relationship between chronotype and depressive symptoms: A meta-analysis. J Affect Disorders. 218:93–104. doi:https://doi.org/10.1016/j.jad.2017.04.021
- Błachnio A, Przepiorka A 2016. Personality and positive orientation in Internet and Facebook addiction. An empirical report from Poland. Comput Hum Behav. 59:230–236.
- Błachnio A, Przepiórka A, Pantic I. 2015. Internet use, Facebook intrusion, and depression: results of a cross-sectional study. Eur Psychiatry J Assoc Eur Psychiatr. 30(6):681–684. doi:https://doi.org/10.1016/j.eurpsy.2015.04.002
- Błachnio A, Przepiorka A, Senol-Durak E, Durak M, Sherstyuk L. 2017. The role of personality traits in Facebook and Internet addictions: A study on Polish, Turkish, and Ukrainian samples. Comput Hum Behav. 68:269–275. doi:https://doi.org/10.1016/j.chb.2016.11.037
- Bradley B, DeFife JA, Guarnaccia C, Phifer J, Fani N, Ressler KJ, Westen D. 2011. Emotion dysregulation and negative affect: association with psychiatric symptoms. J Clin Psychiatry. 72(5):685–691. doi:https://doi.org/10.4088/JCP.10m06409blu
- Chan JW, Lam SP, Li SX, Yu MW, Chan NY, Zhang J, Wing Y-K. 2014. Eveningness and insomnia: independent risk factors of nonremission in major depressive disorder. Sleep. 37(5):911–917. doi:https://doi.org/10.5665/sleep.3658
- Cheng C, Li AY. 2014. Internet addiction prevalence and quality of (real) life: A meta-analysis of 31 nations across seven world regions. Cyberpsychology Behav Soc Netw. 17(12):755–760. doi:https://doi.org/10.1089/cyber.2014.0317
- Choi K, Son H, Park M, Han J, Kim K, Lee B, Gwak H. 2009. Internet overuse and excessive daytime sleepiness in adolescents. Psychiatry Clin Neurosci. 63(4):455–462. doi:https://doi.org/10.1111/j.1440-1819.2009.01925.x
- Davis RA. 2001. A cognitive-behavioral model of pathological Internet use. Comput Hum Behav. 17(2):187–195. doi:https://doi.org/10.1016/S0747-5632(00)00041-8
- Davis RA, Gordon L, Flett D, Besser A. 2002. Validation of a new scale for measuring problematic Internet use: implications for pre-employment screening. Cyberpsychology Behav Soc Netw. 5(4):331–345. doi:https://doi.org/10.1089/109493102760275581
- Díaz-Morales JF, Sánchez-López MP. 2005. Composite scales of morningness and preferences: preliminary validity data in Peruvian undergraduates. Ergonomics. 48(4):354–363. doi:https://doi.org/10.1080/0014013042000327661
- Donnellan MB, Oswald FL, Baird BM, Lucas RE. 2006. The Mini-IPIP Scales: tiny-yet-effective measures of the Big Five Factors of Personality. Psychol Assess. 18(2):192–203. doi:https://doi.org/10.1037/1040-3590.18.2.192
- Durak M, Senol‐Durak E. 2014. Which personality traits are associated with cognitions related to problematic Internet use? Asian J Soc Psychol. 17(3):206–218. doi:https://doi.org/10.1111/ajsp.12056
- Eaton WW, Muntaner C, Smith C, Tien A, Ybarra M. 2004. Center for Epidemiologic Studies Depression Scale: review and revision (CESD and CESD-R). In: Maruish M, editor. The use of psychological testing for treatment planning and outcomes assessment. New York: Lawrence Erlbaum; p. 363–377.
- Exelmans L, Meier A, Reinecke L, Bulck JVD. 2019. Just one more episode: predictors of procrastination with television and implications for sleep quality. Mass Commun Soc. 22(5):654–685. doi:https://doi.org/10.1080/15205436.2019.1606246
- Ferraro G, Caci B, D’Amico A, Di Blasi M. 2007. Internet addiction disorder: an Italian study. Cyberpsychol Behav. 10(2):170–175. doi:https://doi.org/10.1089/cpb.2006.9972
- Fossum IN, Nordnes LT, Storemark SS, Bjorvatn B, Pallesen S. 2014. The association between use of electronic media in bed before going to sleep and insomnia symptoms, daytime sleepiness, morningness, and chronotype. Behav Sleep Med. 12(5):343–357. doi:https://doi.org/10.1080/15402002.2013.819468
- Gaina A, Sekine M, Kanayama H, Takashi Y, Hu L, Sengoku K, Kagamimori S. 2006. Morning-evening preference: sleep pattern spectrum and lifestyle habits among Japanese junior high school pupils. Chronobiol Int. 23(3):607–621. doi:https://doi.org/10.1080/07420520600650646
- Gao T, Meng X, Qin Z, Zhang H, Gao G, Kong Y, Hu Y, Mei S. 2018. Association between parental marital conflict and Internet addiction: A moderated mediation analysis. J Affect Disord. 240:27–32. doi:https://doi.org/10.1016/j.jad.2018.07.005
- Goldberg, L. R. (1992). The development of markers for the Big-Five factor structure. Psychological Assessment, 4(1), 26–42. doi:https://doi.org/10.1037/1040-3590.4.1.26
- Hawi NS. 2013. Arabic validation of the internet addiction test. Cyberpsychol Behav. 16(3):200–204. doi:https://doi.org/10.1016/j.chb.2015.01.058
- Hawi NS, Blachnio A, Przepiorka A. 2015. Polish validation of the internet addiction test. Comput Hum Behav. 48(C):548–553. doi:https://doi.org/10.1016/j.chb.2015.01.058
- Jankowski KS. 2015. Composite scale of morningness: psychometric properties, validity with Munich ChronoType Questionnaire and age/sex differences in Poland. Eur Psychiatry J Assoc Eur Psychiatr. 30(1):166–171. doi:https://doi.org/10.1016/j.eurpsy.2014.01.004
- Jankowski KS. 2016. Morningness-eveningness and depressive symptoms: test on the components level with CES-D in Polish students. J Affect Disord. 196:47–53. doi:https://doi.org/10.1016/j.jad.2016.02.015
- Johnson JA. 2017. Big-Five model. In: Zeigler-Hill V, Shackelford T, editors. Encyclopedia of personality and individual differences. Cham: Springer; p. 1–16.
- Kayiş AR, Satici SA, Yilmaz MF, Şimşek D, Ceyhan E, Bakioğlu F. 2016. Big Five-personality trait and Internet addiction: A meta-analytic review. Comput Hum Behav. 63:35–40. doi:https://doi.org/10.1016/j.chb.2016.05.012
- Kerkhof GA. 1985. Inter-individual differences in the human circadian system: A review. Biol Psychol. 20(2):83–112. doi:https://doi.org/10.1016/0301-0511(85)90019-5
- Kerkhof GA, van Dongen HPA. 1996. Morning-type and evening-type individuals differ in the phase position of their endogenous circadian oscillator. Neurosci Lett. 218(3):153–156. doi:https://doi.org/10.1016/S0304-3940(96)13140-2
- Kheirkhah F, Jouybari AG, Gouran A. 2010. Internet addiction. Prevalence and epidemiological features in Mazandaran Province, Iranian Red Crescent Medical J. 12(2):133–137.
- Kim J, Haridakis PM. 2009. The role of Internet user characteristics and motives in explaining three dimensions of Internet addiction. J Comput-Mediat Commun. 14(4):988–1015. doi:https://doi.org/10.1111/j.1083-6101.2009.01478.x
- Kline RB. 2011. Principles and practice of structural equation modeling. New York: The Guilford Press.
- Ko CH, Yen JY, Yen CF, Chen CS, Chen CC. 2010. The association between Internet addiction and psychiatric disorder: a review of the literature. Eur Psychiatry J Assoc Eur Psychiatr. 27(1):1–8. doi:https://doi.org/10.1016/j.eurpsy.2010.04.011
- Koronczai B, Kökönyei G, Griffiths MD, Demetrovics Z. 2019. The relationship between personality traits, psychopathological symptoms, and problematic Internet use: A complex mediation model. J Med Internet Res. 21(4):e11837. doi:https://doi.org/10.2196/11837
- Kotov R, Gamez W, Schmidt F, Watson D. 2010. Linking “big” personality traits to anxiety, depressive, and substance use disorders: A meta-analysis. Psychol Bull. 136(5):768–821. doi:https://doi.org/10.1037/a0020327
- Kuss DJ, Griffiths MD, Binder JF. 2013. Internet addiction in students: prevalence and risk factors. Comput Hum Behav. 29(3):959–966. doi:https://doi.org/10.1016/j.chb.2012.12.024
- Kuss DJ, Griffiths MD, Karila L, Billieux J. 2014. Internet addiction: A systematic review of epidemiological research for the last decade. Curr Pharm Des. 20(25):4026–4052. doi:https://doi.org/10.2174/13816128113199990617
- Laconi S, Kaliszewska-Czeremska K, Gnisci A, Sergi I, Barke A, Jeromin F, Groth J, Gamez-Guadix M, Ozcan NK, Demetrovics Z, et al. 2018. Cross-cultural study of problematic Internet use in nine European countries. Comput Hum Behav. 84:430–440. doi:https://doi.org/10.1016/j.chb.2018.03.020
- Lin Y-H, Gau SS-F. 2013. Association between morningness-eveningness and the severity of compulsive Internet use: the moderating role of gender and parenting style. Sleep Med. 14(12):1398–1404. doi:https://doi.org/10.1016/j.sleep.2013.06.015
- Lipnevich AA, Credè M, Hahn E, Spinath FM, Roberts RD, Preckel F. 2017. How distinctive are morningness and eveningness from the Big Five factors of personality? A meta-analytic investigation. J Pers Soc Psychol. 112(3):491–509. doi:https://doi.org/10.1037/pspp0000099
- LT H, Bentler PM 1999. Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Struct Equ Model Multidiscip J. 6(1):1–55. doi:https://doi.org/10.1080/10705519909540118
- Lucassen EA, Zhao X, Rother KI, Mattingly MS, Courville AB, de Jonge L, Csako G, Cizza G. 2013. Evening chronotype is associated with changes in eating behavior, more sleep apnea, and increased stress hormones in short sleeping obese individuals. PLoS ONE. 8(3):e56519. doi:https://doi.org/10.1371/journal.pone.0056519
- Malouff JM, Thorsteinsson EB, Schutte NS. 2005. The relationship between the five-factor model of personality and symptoms of clinical disorders: A meta-analysis. J Psychopath Behav. 27:101–114. doi:https://doi.org/10.1007/s10862-005-5384-y
- McCrae RR, Costa PT. 1987. Validation of the five-factor model of personality across instruments and observers. J Pers Soc Psychol. 52(1):81–90. doi:https://doi.org/10.1037/0022-3514.52.1.81
- Mehmetoglu M. 2018. Medsem: A Stata package for statistical mediation analysis. Int J Comput Econ Econom. 8(1):63–78. doi:https://doi.org/10.1504/IJCEE.2018.088321
- Morrison CM, Gore H. 2010. The relationship between excessive Internet use and depression: A questionnaire-based study of 1,319 young people and adults. Psychopathology. 43(2):121–126. doi:https://doi.org/10.1159/000277001
- Ostovar S, Allahyar N, Aminpoor H, Moafian F, Nor MBM, Griffiths MD. 2016. Internet addiction and its psychosocial risks (depression, anxiety, stress and loneliness) among Iranian adolescents and young adults: A structural equation model in a cross-sectional study. Int J Ment Health Addict. 14(3):257–267. doi:https://doi.org/10.1007/s11469-015-9628-0
- Pantic I. 2014. Online social networking and mental health. Cyberpsychology Behav Soc Netw. 17(10):652–657. doi:https://doi.org/10.1089/cyber.2014.0070
- Park SM, Park YA, Lee HW, Jung HY, Lee J, Choi J. 2013. The effects of behavioral inhibition/approach system as predictors of Internet addiction in adolescents. Pers Individ Dif. 54(1):7–11. doi:https://doi.org/10.1016/j.paid.2012.07.033
- Poli R, Agrimi E. 2012. Internet addiction disorder: prevalence in an Italian student population. Nord J Psychiatry. 66(1):55–59. doi:https://doi.org/10.3109/08039488.2011.605169
- Ponzi D, Wilson MC, Maestripieri D. 2014. Eveningness is associated with higher risk-taking, independent of sex and personality. Psychol Rep. 115(3):932–947. doi:https://doi.org/10.2466/19.12.PR0.115c28z5
- Portaluppi F, Smolensky MH, Touitou Y. 2010. Ethics and methods for biological rhythm research on animals and human beings. Chronobiol Int. 27(9–10):1911–1929. doi:https://doi.org/10.3109/07420528.2010.516381
- Prat G, Adan A. 2011. Influence of circadian typology on drug consumption, hazardous alcohol use, and hangover symptoms. Chronobiol Int. 28(3):248–257. doi:https://doi.org/10.3109/07420528.2011.553018
- Przepiorka A, Blachnio A, Cudo A. 2019. The role of depression, personality, and future time perspective in Internet addiction in adolescents and emerging adults. Psychiatry Res. 272:340–348. doi:https://doi.org/10.1016/j.psychres.2018.12.086
- Radloff LS. 1977. The CES-D scale: A self-report depression scale for research in the general population. Appl Psychol Meas. 1(3):385–401. doi:https://doi.org/10.1177/014662167700100306
- Randler C. 2008. Morningness-eveningness comparison in adolescents from different countries around the world. Chronobiol Int. 25(6):1017–1028. doi:https://doi.org/10.1080/07420520802551519
- Randler C, Horzum MB, Vollmer C. 2014. Internet addiction and its relationship to chronotype and personality in a Turkish university student sample. Soc Sci Comput Rev. 32(4):484–495. doi:https://doi.org/10.1177/0894439313511055
- Satorra A, Bentler PM. 1994. Corrections to test statistics and standard errors in covariance structure analysis. In: von Eye A, Clogg CC, editors. Latent variables analysis: applications for developmental research. Thousand Oaks (CA): Sage; p. 399–419.
- Servidio R. 2014. Exploring the effects of demographic factors, Internet usage and personality traits on Internet addiction in a sample of Italian university students. Comput Hum Behav. 35:85–92. doi:https://doi.org/10.1016/j.chb.2014.02.024
- Smith CS, Folkard S, Schmieder RA, Parra LF, Spelten E, Almiral H, Sen RN, Sahu S, Perez LM, Tisak J. 2002. Investigation of morning–evening orientation in six countries using the preferences scale. Personal Individ Differ. 32(6):949–968. doi:https://doi.org/10.1016/S0191-8869(01)00098-8
- Smith CS, Reilly C, Midkiff K. 1989. Evaluation of three circadian rhythm questionnaires with suggestions for an improved measure of morningness. J Appl Psychol. 74(5):728–738. doi:https://doi.org/10.1037/0021-9010.74.5.728
- Stavropoulos V, Kuss D, Griffiths M, Motti-Stefanidi F. 2016. A longitudinal study of adolescent Internet addiction. J Adolesc Res. 31(4):442–473. doi:https://doi.org/10.1177/0743558415580163
- Strus W, Cieciuch J, Rowiński T. 2014. Polska adaptacja kwestionariusza IPIP-BFM-50 do pomiaru pięciu cech osobowości w ujęciu leksykalnym [Polish adaptation of the IPIP-BFM-50 questionnaire to measure the number of personality traits in a lexical approach]. Rocz Psychol. 17(2):327–346.
- Su W, Han X, Jin C, Yan Y, Potenza MN. 2019. Are males more likely to be addicted to the Internet than females? A meta-analysis involving 34 global jurisdictions. Comput Hum Behav. 99:86–100. doi:https://doi.org/10.1016/j.chb.2019.04.021
- Sultana M, Uddin MK. 2019. Parental rejection, depression, and Internet addiction among young adults. Pak J Psychol Res. 34(2):419–432.
- Tonetti L, Fabbri M, Natale V. 2009. Relationship between circadian typology and Big Five personality domains. Chronobiol Int. 26(2):337–347. doi:https://doi.org/10.1080/07420520902750995
- Toomey R, Panizzon MS, Kremen WS, Franz CE, Lyons MJ. 2015. A twin-study of genetic contributions to morningness–eveningness and depression. Chronobiol Int. 32(3):303–309. doi:https://doi.org/10.3109/07420528.2014.971366
- Topolewska E, Skimina E, Strus W, Cieciuch J, Rowiński T. 2014. Krótki kwestionariusz do pomiaru Wielkiej Piątki [The short IPIP-BFM-20 questionnaire for measuring the Big Five]. Rocz Psychol. 17(2):365–382.
- Tsai -C-C, Lin SSJ. 2003. Internet addiction of adolescents in Taiwan: an interview study. Cyberpsychology Behav Soc Netw. 6(6):649–652. doi:https://doi.org/10.1089/109493103322725432
- Tuten TL, Bosnjak M. 2001. Understanding differences in web usage: the role of need for cognition and the five factor model of personality. Soc Behav Pers. 29(4):391–398. doi:https://doi.org/10.2224/sbp.2001.29.4.391
- Urbán R, Magyaródi T, Rigó A. 2011. Morningness-eveningness, chronotypes and health-impairing behaviors in adolescents. Chronobiol Int. 28(3):238–247. doi:https://doi.org/10.3109/07420528.2010.549599
- van der Aa N, Overbeek G, Engels RCME, Scholte RHJ, Meerkerk G-J, Van den Eijnden RJJM. 2009. Daily and compulsive Internet use and well-being in adolescence: A diathesis-stress model based on Big Five personality traits. J Youth Adolesc. 38(6):765–776. doi:https://doi.org/10.1007/s10964-008-9298-3
- Whang LS-M, Lee S, Chang G. 2003. Internet over-users’ psychological profiles: A behavior sampling analysis on Internet addiction. Cyberpsychol Behav. 6(2):143–150. doi:https://doi.org/10.1089/109493103321640338
- Yan W, Li Y, Sui N. 2014. The relationship between recent stressful life events, personality traits, perceived family functioning and Internet addiction among college students. Stress Health J Int Soc Investig Stress. 30(1):3–11. doi:https://doi.org/10.1002/smi.2490
- Yeh Y-C, Ko H-C, Wu JY-W, Cheng C-P. 2008. Gender differences in relationships of actual and virtual social support to Internet addiction mediated through depressive symptoms among college students in Taiwan. Cyberpsychology Behav Impact Internet Multimed Virtual Real Behav Soc. 11(4):485–487. doi:https://doi.org/10.1089/cpb.2007.0134
- Yen J-Y, Yen C-F, Wu H-Y, Huang C-J, Ko C-H. 2011. Hostility in the real world and online: the effect of Internet addiction, depression, and online activity. Cyberpsychology Behav Soc Netw. 14(11):649–655. doi:https://doi.org/10.1089/cyber.2010.0393
- Younes F, Halawi G, Jabbour H, El Osta N, Karam L, Hajj A, Rabbaa Khabbaz L. 2016. Internet addiction and relationships with insomnia, anxiety, depression, stress and self-esteem in university students: A cross-sectional designed study. PloS One. 11(9):1–13. doi:https://doi.org/10.1371/journal.pone.0161126
- Young KS. 1998. Internet addiction: the emergence of a new clinical disorder. Cyberpsychol Behav. 1(3):237–244. doi:https://doi.org/10.1089/cpb.1998.1.237
- Young KS, Rogers RC. 1998. The relationship between depression and Internet addiction. Cyberpsychol Behav. 1(1):25–28. doi:https://doi.org/10.1089/cpb.1998.1.25
- Zhang MWB, Tran BX, Huong LT, Hinh ND, Nguyen HLT, Tho TD, Latkin C, Ho RCM. 2017. Internet addiction and sleep quality among Vietnamese youths. Asian J Psychiatry. 28:15–20. doi:https://doi.org/10.1016/j.ajp.2017.03.025
- Zhao X, Lynch JG, Chen Q. 2010. Reconsidering Baron and Kenny: myths and truths about mediation analysis. J Consum Res. 37(2):197–206. doi:https://doi.org/10.1086/651257
- Zhou P, Zhang C, Liu J, Wang Z. 2017a. The relationship between resilience and Internet addiction: A multiple mediation model through peer relationship and depression. Cyberpsychology Behav Soc Netw. 20(10):634–639. doi:https://doi.org/10.1089/cyber.2017.0319
- Zhou Y, Li D, Li X, Wang Y, Zhao L. 2017b. Big Five personality and adolescent Internet addiction: the mediating role of coping style. Addict Behav. 64:42–48. doi:https://doi.org/10.1016/j.addbeh.2016.08.009
- Ziarko M, ŁD K, Haładziński P. 2014. Polish version of Centre for Epidemiological Studies Depression Scale (CES-D): results of a preliminary study on the psychometric properties of the scale. Curr Issues Personal Psychol. 1(1):51–61. doi:https://doi.org/10.5114/cipp.2013.40637
- Zilberman N, Yadid G, Efrati Y, Neumark Y, Rassovsky Y. 2018. Personality profiles of substance and behavioral addictions. Addict Behav. 82:174–181. doi:https://doi.org/10.1016/j.addbeh.2018.03.007