Chronotypes are significantly associated with emotional well-being in a general population cohort in Hungary
Roenneberg, T., Wirz-Justice, A. & Merrow, M. Life between clocks: daily Temporal patterns of human chronotypes. J. Biol. Rhythm. 18, 80–90 (2003).
Google Scholar
Bullock, B. Focus: clocks and cycles: an interdisciplinary perspective on the association between chronotype and well-being. Yale. J. Biol. Med. 92, 359 (2019).
Google Scholar
Shimura, A., Yokoi, K., Sugiura, K., Higashi, S. & Inoue, T. On workdays, earlier sleep for morningness and later wakeup for eveningness are associated with better work productivity. Sleep Med. 92, 73–80 (2022).
Google Scholar
Tzischinsky, O. & Shochat, T. Eveningness, sleep patterns, daytime functioning, and quality of life in Israeli adolescents. Chronobiol. Int. 28, 338–343 (2011).
Google Scholar
Einat, H. et al. Late chronotypes show lower scores on a combined measure of emotional wellbeing: a study in the general population in Greece. Biol. Rhythm Res. 54, 732–742 (2023).
Google Scholar
Roenneberg, T., Pilz, L. K., Zerbini, G. & Winnebeck, E. C. Chronotype and social jetlag: a (self-) critical review. Biology 8, 54 (2019).
Google Scholar
Roenneberg, T. et al. Epidemiology of the human circadian clock. Sleep Med. Rev. 11, 429–438 (2007).
Google Scholar
Wittmann, M., Dinich, J., Merrow, M. & Roenneberg, T. Social jetlag: misalignment of biological and social time. Chronobiol. Int. 23, 497–509 (2006).
Google Scholar
Roenneberg, T. How can social jetlag affect health? Nat. Reviews Endocrinol. 19, 383–384 (2023).
Google Scholar
Adan, A. et al. Circadian typology: a comprehensive review. Chronobiol. Int. 29, 1153–1175 (2012).
Google Scholar
Zavecz, Z., Török, C., Köteles, F., Pálosi, V. & Simor, P. [The psychometric properties of the Hungarian version of the morningness-Eveningness questionnaire (MEQ-H): the separate factors of morning freshness and circadian rhythmicity]. Psychiatr Hung. 30, 318–331 (2015).
Google Scholar
Didikoglu, A. et al. Associations between chronotype and employment status in a longitudinal study of an elderly population. Chronobiol. Int. 39, 1118–1131 (2022).
Google Scholar
Xavier, N. B. et al. Chronobiological parameters as predictors of early treatment response in major depression. J. Affect. Disord. 323, 679–688 (2023).
Google Scholar
Facer-Childs, E. R., Middleton, B., Skene, D. J. & Bagshaw, A. P. Resetting the late timing of ‘night owls’ has a positive impact on mental health and performance. Sleep Med. 60, 236–247 (2019).
Google Scholar
Dimitrov, A. et al. Chronotype is associated with psychological well-being depending on the composition of the study sample. J. Health Psychol. 25, 1236–1247 (2020).
Google Scholar
Wang, H., Wang, S., Yu, W. & Lei, X. Consistency of chronotype measurements is affected by sleep quality, gender, longitude, and latitude. Chronobiol. Int. 40, 952–960 (2023).
Google Scholar
Prieto, P. D., Díaz-Morales, J. F., Barreno, C. E., Mateo, M. J. C. & Randler, C. Morningness-eveningness and health-related quality of life among adolescents. Span. J. Psychol. 15, 613–623 (2012).
Google Scholar
Selvi, Y. et al. Associations between chronotype, sleep quality, suicidality, and depressive symptoms in patients with major depression and healthy controls. Chronobiol. Int. 27, 1813–1828 (2010).
Google Scholar
Jang, S. J. & Lee, H. Social jetlag and quality of life among nursing students during the COVID-19 pandemic: a cross-sectional study. BMC Nurs. 22, 61 (2023).
Google Scholar
Stendardo, M. et al. Sleep quality: a critical determinant of perceived quality of life in the administrative-technical workers of an Italian university. Eur. Rev. Med. Pharmacol. Sci. 24, 13025–13036 (2020).
Google Scholar
Levandovski, R. et al. Depression scores associate with chronotype and social jetlag in a rural population. Chronobiol. Int. 28, 771–778 (2011).
Google Scholar
Guilloux, J. P., Seney, M., Edgar, N. & Sibille, E. Integrated behavioral z-scoring increases the sensitivity and reliability of behavioral phenotyping in mice: relevance to emotionality and sex. J. Neurosci. Methods. 197, 21–31 (2011).
Google Scholar
Huynh, T. N., Krigbaum, A. M., Hanna, J. J. & Conrad, C. D. Sex differences and phase of light cycle modify chronic stress effects on anxiety and depressive-like behavior. Behav. Brain. Res. 222, 212–222 (2011).
Google Scholar
Raymond, C., Provencher, J., Bilodeau-Houle, A., Leclerc, J. & Marin, M. F. A longitudinal investigation of psychological distress in children during COVID-19: the role of socio-emotional vulnerability. Eur. J. Psychotraumatology. 13, 2021048 (2022).
Google Scholar
Sládek, M., Klusáček, J., Hamplová, D. & Sumová, A. Population-representative study reveals cardiovascular and metabolic disease biomarkers associated with misaligned sleep schedules. Sleep 46, zsad037 (2023).
Google Scholar
Quinn, L. M. et al. Chronotype and well-being in adults with established type 2 diabetes: A cross‐sectional study. Diabet. Med. 39, e14690 (2022).
Google Scholar
Stolarski, M. & Jankowski, K. S. Morningness–eveningness and performance-based emotional intelligence. Biol. Rhythm Res. 46, 417–423 (2015).
Google Scholar
Gulec, M. et al. Chronotype effects on general well-being and psychopathology levels in healthy young adults. Biol. Rhythm Res. 44, 457–468 (2013).
Google Scholar
Wittmann, M., Paulus, M. & Roenneberg, T. Decreased psychological well-being in late ‘chronotypes’ is mediated by smoking and alcohol consumption. Subst. Use Misuse. 45, 15–30 (2010).
Google Scholar
Adan, A. & Guàrdia, J. Circadian variations of self-reported activation: a multidimensional approach. Chronobiologia 20, 233–244 (1993).
Google Scholar
Natale, V., Adan, A. & Scapellato, P. Are seasonality of mood and eveningness closely associated? Psychiatry Res. 136, 51–60 (2005).
Google Scholar
Juhasz, G. et al. The CREB1-BDNF-NTRK2 pathway in depression: multiple gene-cognition-environment interactions. Biol. Psychiatry. 69, 762–771. (2011).
Google Scholar
Derogatis, L. R. & Melisaratos, N. The brief symptom inventory: an introductory report. Psychol. Med. 13, 595–605 (1983).
Google Scholar
Boulet, J. & Boss, M. W. Reliability and validity of the brief symptom inventory. Psychol. Assessment: J. Consulting Clin. Psychol. 3, 433 (1991).
Google Scholar
Kovacs, D. et al. Interleukin-6 promoter polymorphism interacts with pain and life stress influencing depression phenotypes. J. Neural Transm. 123, 541–548 (2016).
Google Scholar
Zung, W. W. A self-rating depression scale. Arch. Gen. Psychiatry. 12, 63–70 (1965).
Google Scholar
Simon, A. in Pszichodiagnosztikai Vademecum (eds F. Merei & F. Szakacs) 180–185 Nemzeti Tankönyvkiadó (1994).
Spielberger, C. D., Gorsuch, R.L. & Lushene, R. E. Manual for the State-Trait anxiety inventory (self-evaluation questionnaire). (Consulting Psychologists Press, Palo Alto, 1970).
Sipos, K. & Sipos, M. The development and validation of the Hungarian form of the STAI. Cross-cultural Anxiety. 2, 51–61 (1978).
Beck, A. T., Steer, R. A., Beck, J. S. & Newman, C. F. Hopelessness, depression, suicidal ideation, and clinical diagnosis of depression. Suicide Life-Threatening Behav. 23, 139–145 (1993).
Google Scholar
Beck, A. T. The measurement of pessimism: the hopelessness scale. J. Consult Clin. Psychol. 42, 861–865 (1974).
Google Scholar
Perczel Forintos, D., Sallai, J. & Rózsa, S. Adaptation of the Beck hopelessness scale in Hungary. Psihologijske Teme. 19, 307–321 (2010).
Horne, J. A. & Ostberg, O. A self-assessment questionnaire to determine morningness-eveningness in human circadian rhythms. Int. J. Chronobiology. 4, 97–110 (1976).
Google Scholar
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