The relationship between chronotype, psychological pain, problematic social media use, and suicidality among university students in Turkey

References

• Adan A, Archer SN, Hidalgo MP, Di Milia L, Natale V, Randler C. 2012. Circadian typology: a comprehensive review. Chronobiol Int. 29:1153–1175. doi: 10.3109/07420528.2012.719971.
   PubMed Web of Science ®Google Scholar
• Agargun MY, Cilli AS, Boysan M, Selvi Y, Gulec M, Kara H. 2007. Turkish version of morningness-eveningness questionnaire (MEQ). Sleep Hypn. 9:16–23.
   Google Scholar
• Antúnez JM, Blanch A. 2020. Circadian typology is related to emotion regulation, metacognitive beliefs and assertiveness in healthy adults.Blanch A, editor. PLoS One. 15:e0230169. doi: 10.1371/journal.pone.0230169.
   PubMed Web of Science ®Google Scholar
• Antypa N, Verkuil B, Molendijk M, Schoevers R, Penninx BWJH, Van Der Does W. 2017. Associations between chronotypes and psychological vulnerability factors of depression. Chronobiol Int. 34:1125–1135. doi: 10.1080/07420528.2017.1345932.
   PubMed Web of Science ®Google Scholar
• Au J, Reece J. 2017. The relationship between chronotype and depressive symptoms: a meta-analysis. J Affect Disord. 218:93–104. doi: 10.1016/j.jad.2017.04.021.
   PubMed Web of Science ®Google Scholar
• Baryshnikov I, Isometsä E. 2022. Psychological pain and suicidal behavior: a review. Front Psychiatry. 13:1–11. doi: 10.3389/fpsyt.2022.981353.
   Web of Science ®Google Scholar
• Batıgün AD, Şahin NH. 2018. İntihar Olasılığı Ölçeği : Gözden geçirme, geçerlik ve güvenirlik çalışması. Klin Psikol Derg. 2:52–64.
   Google Scholar
• Boysan M, Kuss DJ, Barut Y, Ayköse N, Güleç M, Özdemir O. 2017. Psychometric properties of the Turkish version of the internet addiction test (IAT). Addict Behav. 64:247–252. doi: 10.1016/j.addbeh.2015.09.002.
   PubMed Web of Science ®Google Scholar
• Campos RC, Holden RR, Laranjeira P, Troister T, Oliveira AR, Costa F, Abreu M, Fresca N. 2016. Self-report depressive symptoms do not directly predict suicidality in nonclinical individuals: contributions toward a more psychosocial approach to suicide risk. Death Stud. 40:335–349. doi: 10.1080/07481187.2016.1150920.
   PubMed Web of Science ®Google Scholar
• Cheng C, Lau Y, Chan L, Luk JW. 2021. Prevalence of social media addiction across 32 nations: meta-analysis with subgroup analysis of classification schemes and cultural values. Addict Behav. 117:106845. doi: 10.1016/j.addbeh.2021.106845.
   PubMed Web of Science ®Google Scholar
• Cheng Y-S, Tseng P-T, Lin P-Y, Chen T-Y, Stubbs B, Carvalho AF, Wu C-K, Chen Y-W, Wu M-K. 2018. Internet addiction and its relationship with suicidal behaviors. J Clin Psychiatry. 79:17r11761. doi: 10.4088/JCP.17r11761.
   PubMed Web of Science ®Google Scholar
• Conejero I, Olié E, Calati R, Ducasse D, Courtet P. 2018. Psychological pain, depression, and suicide: recent evidences and future directions. Curr Psychiatry Rep. 20:33. doi: 10.1007/s11920-018-0893-z.
   PubMed Web of Science ®Google Scholar
• Cull JG, Gill WS. 1988. Suicide probability scale (SPS). Los Angeles: West Psychological Services.
   Google Scholar
• Demirkol ME, Güleç H, Tamam L, Güleç MY, Öztürk SA, Uğur K, Karaytuğ MO, Eroğlu MZ. 2020. Reliability and validity of mee-bunney psychological pain assessment scale Turkish version. Curr Psychol. 39:1181–1188. doi: 10.1007/s12144-019-00400-z.
   Web of Science ®Google Scholar
• Dong G, Hu Y, Lin X. 2013. Reward/Punishment sensitivities among internet addicts: Implications for their addictive behaviors. Prog Neuro Psychopharmacol Biol Psychiatry. 46:139–145. doi: 10.1016/j.pnpbp.2013.07.007.
   PubMed Web of Science ®Google Scholar
• Ducasse D, Holden RR, Boyer L, Artéro S, Calati R, Guillaume S, Courtet P, Olié E. 2018. Psychological pain in suicidality. J Clin Psychiatry. 79:16r10732. doi: 10.4088/JCP.16r10732.
   PubMed Web of Science ®Google Scholar
• Eisenberger NI. 2012. The neural bases of social pain. Psychosom Med. 74:126–135. doi: 10.1097/PSY.0b013e3182464dd1.
   PubMed Web of Science ®Google Scholar
• Franchina V, Vanden Abeele M, van Rooij A, Lo Coco G, De Marez L. 2018. Fear of missing out as a predictor of problematic social media use and phubbing behavior among flemish adolescents. Int J Environ Res Public Health. 15:2319. doi: 10.3390/ijerph15102319.
   PubMed Web of Science ®Google Scholar
• Franklin JC, Ribeiro JD, Fox KR, Bentley KH, Kleiman EM, Huang X, Musacchio KM, Jaroszewski AC, Chang BP, Nock MK. 2017. Risk factors for suicidal thoughts and behaviors: a meta-analysis of 50 years of research. Psychol Bull. 143:187–232. doi: 10.1037/bul0000084.
   PubMed Web of Science ®Google Scholar
• Grant JE, Chamberlain SR. 2016. Expanding the definition of addiction: DSM-5 vs. ICD-11. CNS Spectr. 21:300–303. doi: 10.1017/S1092852916000183.
   PubMed Web of Science ®Google Scholar
• Hayes AF. 2017. Introduction to mediation, moderation, and conditional process analysis, second edition: a regression-based approach. New York: Guilford publications.
   Google Scholar
• Hofstra E, van Nieuwenhuizen C, Bakker M, Özgül D, Elfeddali I, de Jong SJ, van der Feltz-Cornelis CM. 2020. Effectiveness of suicide prevention interventions: A systematic review and meta-analysis. Gen Hosp Psychiatry. 63:127–140. doi: 10.1016/j.genhosppsych.2019.04.011.
   PubMed Web of Science ®Google Scholar
• Holma KM, Haukka J, Suominen K, Valtonen HM, Mantere O, Melartin TK, Sokero TP, Oquendo MA, Isometsä ET. 2014. Differences in incidence of suicide attempts between bipolar I and II disorders and major depressive disorder. Bipolar Disord. 16:652–661. doi: 10.1111/bdi.12195.
   PubMed Web of Science ®Google Scholar
• Horne JA, Ostberg O. 1976. A self assessment questionnaire to determine morningness eveningness in human circadian rhythms. Int J Chronobiol. 4:97–110.
   PubMedGoogle Scholar
• Hussain Z, Starcevic V. 2020. Problematic social networking site use: a brief review of recent research methods and the way forward. Curr Opin Psychol. 36:89–95. doi: 10.1016/j.copsyc.2020.05.007.
   PubMed Web of Science ®Google Scholar
• Katz E, Blumler JG, Gurevitch M. 1973. Uses and gratifications research. Public Opin Q. 37:509–523. doi: 10.1086/268109.
   Web of Science ®Google Scholar
• Kuss D, Griffiths M. 2017. Social networking sites and addiction: ten lessons learned. Int J Environ Res Public Health. 14:311. doi: 10.3390/ijerph14030311.
   PubMed Web of Science ®Google Scholar
• Kuss DJ, Griffiths MD. 2012. Internet gaming addiction: a systematic review of empirical research. Int J Ment Health Addict. 10:278–296. doi: 10.1007/s11469-011-9318-5.
   Web of Science ®Google Scholar
• Levi Y, Horesh N, Fischel T, Treves I, Or E, Apter A. 2008. Mental pain and its communication in medically serious suicide attempts: An “impossible situation. J Affect Disord. 111:244–250. doi: 10.1016/j.jad.2008.02.022.
   PubMed Web of Science ®Google Scholar
• Li H, Fu R, Zou Y, Cui Y. 2017. Predictive roles of three-dimensional psychological pain, psychache, and depression in suicidal ideation among Chinese college students. Front Psychol. 8. doi: 10.3389/fpsyg.2017.01550.
   Web of Science ®Google Scholar
• Mee S, Bunney BG, Bunney WE, Hetrick W, Potkin SG, Reist C. 2011. Assessment of psychological pain in major depressive episodes. J Psychiatr Res. 45:1504–1510. doi: 10.1016/j.jpsychires.2011.06.011.
   PubMed Web of Science ®Google Scholar
• Mento C, Silvestri MC, Muscatello MRA, Rizzo A, Celebre L, Bruno A, Zoccali AR. 2022. Psychological pain and risk of suicide in adolescence. Int J Adolesc Med Health. 34. doi: 10.1515/ijamh-2019-0270.
   Google Scholar
• Miranda R, Tsypes A, Gallagher M, Rajappa K. 2013. Rumination and hopelessness as mediators of the relation between perceived emotion dysregulation and suicidal ideation. Cognit Ther Res. 37:786–795. doi: 10.1007/s10608-013-9524-5.
   Web of Science ®Google Scholar
• Mokros Ł, Nowakowska-Domagała K, Koprowicz J, Witusik A, Pietras T. 2021. The association between chronotype and suicidality among students of the medicine and psychology faculties – the mediating role of general mental health indices. Chronobiol Int. 38:509–517. doi: 10.1080/07420528.2020.1865393.
   PubMed Web of Science ®Google Scholar
• Montemarano V, Troister T, Lambert CE, Holden RR. 2018. A four-year longitudinal study examining psychache and suicide ideation in elevated-risk undergraduates: a test of Shneidman’s model of suicidal behavior. J Clin Psychol. 74:1820–1832. doi: 10.1002/jclp.22639.
   PubMed Web of Science ®Google Scholar
• Nock MK, Hwang I, Sampson NA, Kessler RC. 2010. Mental disorders, comorbidity and suicidal behavior: results from the national comorbidity survey replication. Mol Psychiatry. 15:868–876. doi: 10.1038/mp.2009.29.
   PubMed Web of Science ®Google Scholar
• Ömer A, Taner G, Levent K, Kültür S. 1997. The validity and reliability of the Turkish version of hospital anxiety and depression scale. Turk Psychiatry. 8:280–287.
   Google Scholar
• Orbach I, Mikulincer M, Sirota P, Gilboa-Schechtman E. 2003. Mental Pain: A Multidimensional Operationalization and Definition. Suicide Life Threat Behav. 33:219–230. doi: 10.1521/suli.33.3.219.23219.
   PubMed Web of Science ®Google Scholar
• Park H, Lee H-K, Lee K. 2018. Chronotype and suicide: the mediating effect of depressive symptoms. Psychiatry Res. 269:316–320. doi: 10.1016/j.psychres.2018.08.046.
   PubMed Web of Science ®Google Scholar
• Piteo EM, Ward K. 2020. Review: social networking sites and associations with depressive and anxiety symptoms in children and adolescents – a systematic review. Child Adolesc Ment Health. 25:201–216. doi: 10.1111/camh.12373.
   PubMed Web of Science ®Google Scholar
• Rodríguez-García A-M, Moreno-Guerrero A-J, López Belmonte J. 2020. Nomophobia: an individual’s growing fear of being without a smartphone—a systematic literature review. Int J Environ Res Public Health. 17:580. doi: 10.3390/ijerph17020580.
   PubMed Web of Science ®Google Scholar
• Roenneberg T, Wirz-Justice A, Merrow M. 2003. Life between clocks: daily temporal patterns of human chronotypes. J Biol Rhythms. 18:80–90. doi: 10.1177/0748730402239679.
   PubMed Web of Science ®Google Scholar
• Savci M, Ercengiz M, Aysan F. 2018. Turkish adaptation of the social media disorder scale in adolescents. Noro Psikiyatr Ars. 55:248–255. doi: 10.29399/npa.19285.
   PubMedGoogle Scholar
• Séguin M, Beauchamp G, Robert M, DiMambro M, Turecki G. 2014. Developmental model of suicide trajectories. Br J Psychiatry. 205:120–126. doi: 10.1192/bjp.bp.113.139949.
   PubMed Web of Science ®Google Scholar
• Shneidman ES. 1998. Perspective on suicidology: further reflections on suicide and psychache. Suicide Life Threat Behav. 28:245–250. doi: 10.1111/j.1943-278X.1998.tb00854.x.
   PubMed Web of Science ®Google Scholar
• Takano K, Tanno Y. 2011. Diurnal variation in rumination. Emotion. 11:1046–1058. doi: 10.1037/a0022757.
   PubMed Web of Science ®Google Scholar
• Tossani E. 2013. The concept of mental pain. Psychother Psychosom. 82:67–73. doi: 10.1159/000343003.
   PubMed Web of Science ®Google Scholar
• Troister T, Holden RR. 2010. Comparing psychache, depression, and hopelessness in their associations with suicidality: a test of Shneidman’s theory of suicide. Pers Indiv Differ. 49:689–693. doi: 10.1016/j.paid.2010.06.006.
   Web of Science ®Google Scholar
• Turecki G, Brent DA. 2016. Suicide and suicidal behaviour. Lancet. 387:1227–1239. doi: 10.1016/S0140-6736(15)00234-2.
   PubMed Web of Science ®Google Scholar
• Turel O, Serenko A. 2012. The benefits and dangers of enjoyment with social networking websites. Eur J Inf Syst. 21:512–528. doi: 10.1057/ejis.2012.1.
   Web of Science ®Google Scholar
• Turkish Statistical Institute (TSI). 2021. TSI data collection. Nüfus ve Demogr [Internet]. [accessed 2021 May 20]. https://data.tuik.gov.tr/Kategori/GetKategori?p=nufus-ve-demografi-109&dil=1
   Google Scholar
• Üzer A, Kurtses Gürsoy B. 2022a. The mediating roles of depression, anxiety, and psychological pain in the relationship between chronotype and suicide in patients with depressive disorder. Chronobiol Int. 39:1352–1358. doi: 10.1080/07420528.2022.2108438.
   PubMed Web of Science ®Google Scholar
• Üzer A, Kurtses Gürsoy B. 2022b. The relationship between internet addiction, problematic social media use, anxiety, depression, and sociodemographic variables in medical school students. Kocatepe Tıp Dergisi. 23:288–294. doi: 10.18229/kocatepetip.976765.
   Google Scholar
• Van den Berg JF, Kivelä L, Antypa N. 2018. Chronotype and depressive symptoms in students: an investigation of possible mechanisms. Chronobiol Int. 35:1248–1261. doi: 10.1080/07420528.2018.1470531.
   PubMed Web of Science ®Google Scholar
• Van Den Eijnden RJJM, Lemmens JS, Valkenburg PM. 2016. The social media disorder scale: validity and psychometric properties. Comput Human Behav. 61:478–487. doi: 10.1016/j.chb.2016.03.038.
   Web of Science ®Google Scholar
• Van Orden KA, Witte TK, Cukrowicz KC, Braithwaite SR, Selby EA, Joiner TE. 2010. The interpersonal theory of suicide. Psychol Rev. 117:575–600. doi: 10.1037/a0018697.
   PubMed Web of Science ®Google Scholar
• Watts AL, Norbury R. 2017. Reduced effective emotion regulation in night owls. J Biol Rhythms. 32:369–375. doi: 10.1177/0748730417709111.
   PubMed Web of Science ®Google Scholar
• World Health Organization. 2019. Suicide in the world: global health estimates. place unknown: World Health Organization.
   Google Scholar
• Young K. 1998. Internet addiction: the emergence of a new clinical disorder. CyberPsychol Behav. 1:237–244. doi: 10.1089/cpb.1998.1.237.
   Google Scholar
• Young K. 2009. Internet addiction: diagnosis and treatment considerations. J Contemp Psychother. 39:241–246. doi: 10.1007/s10879-009-9120-x.
   Google Scholar
• Zalsman G, Hawton K, Wasserman D, van Heeringen K, Arensman E, Sarchiapone M, Carli V, Höschl C, Barzilay R, Balazs J, et al. 2016. Suicide prevention strategies revisited: 10-year systematic review. Lancet Psychiatry. 3:646–659. doi: 10.1016/S2215-0366(16)30030-X.
   PubMed Web of Science ®Google Scholar
• Zigmond AS, Snaith RP. 1983. The hospital anxiety and depression scale. Acta Psychiatr Scand. 67:361–370. doi: 10.1111/j.1600-0447.1983.tb09716.x.
   PubMed Web of Science ®Google Scholar
• Zou H, Zhou H, Yan R, Yao Z, Lu Q. 2022. Chronotype, circadian rhythm, and psychiatric disorders: recent evidence and potential mechanisms. Front Neurosci. 16:1–24. doi: 10.3389/fnins.2022.811771.
   Web of Science ®Google Scholar