@article{MTMT:34745474,
	title = {Objective sleep quality predicts subjective sleep ratings},
	url = {https://m2.mtmt.hu/api/publication/34745474},
	author = {Pierson-Bartel, Róbert and Ujma, Przemyslaw Péter},
	doi = {10.1038/s41598-024-56668-0},
	journal-iso = {SCI REP},
	journal = {SCIENTIFIC REPORTS},
	volume = {14},
	unique-id = {34745474},
	year = {2024},
	eissn = {2045-2322},
	orcid-numbers = {Ujma, Przemyslaw Péter/0000-0002-7981-3009}
}

@article{MTMT:34212404,
	title = {Protocol of the Budapest sleep, experiences, and traits study: An accessible resource for understanding associations between daily experiences, individual differences, and objectively measured sleep},
	url = {https://m2.mtmt.hu/api/publication/34212404},
	author = {Taji, Wael and Pierson-Bartel, Róbert and Ujma, Przemyslaw Péter},
	doi = {10.1371/journal.pone.0288909},
	journal-iso = {PLOS ONE},
	journal = {PLOS ONE},
	volume = {18},
	unique-id = {34212404},
	abstract = {Sleep is both a neurophysiological state and a biologically necessary behavior that performs a variety of indispensable roles for human health, development, and cognitive functioning. Despite this, comparatively little is known about the relationships between daily experiences and sleep features. Importantly, these relationships are bidirectional in nature, may be differently associated with subjectively and objectively assessed sleep, and may also be modulated by individual differences To address this challenge, we created the Budapest Sleep, Experiences, and Traits Study (BSETS), a multidisciplinary observational sleep study utilizing novel remote EEG devices. BSETS was designed to establish a dataset for future use in investigating the relationships between sleep features and daily experiences. In this paper we describe the protocol of the currently ongoing BSETS, which examines a community-dwelling sample of over 250 healthy participants who are studied in a naturalistic setting using a large questionnaire assessing psychological, demographic, and anthropometric information, as well as evening/morning diaries of sleep and daily experiences, and mobile EEG recordings over a period of 7 days. This dataset will become an accessible resource to the wider scientific community and can be utilized to investigate the complex multidirectional relationships between objectively and subjectively measured sleep, daily experiences, and individual differences, bestowing it with significant value for sleep researchers as well as practitioners working in clinical settings with patients suffering from disordered sleep.},
	year = {2023},
	eissn = {1932-6203},
	orcid-numbers = {Taji, Wael/0000-0002-2111-2410; Ujma, Przemyslaw Péter/0000-0002-7981-3009}
}

@article{MTMT:34081564,
	title = {Daily rhythms, light exposure and social jetlag correlate with demographic characteristics and health in a nationally representative survey},
	url = {https://m2.mtmt.hu/api/publication/34081564},
	author = {Ujma, Przemyslaw Péter and G. Horváth, Csenge and Bódizs, Róbert},
	doi = {10.1038/s41598-023-39011-x},
	journal-iso = {SCI REP},
	journal = {SCIENTIFIC REPORTS},
	volume = {13},
	unique-id = {34081564},
	abstract = {The timing of daily activity in humans have been associated with various demographic and health-related factors, but the possibly complex patterns of confounding and interaction between these has not been systematically explored. We use data from Hungarostudy 2021, a nationally representative survey of 7000 Hungarian adults to assess the relationship between self-reported chronotype, social jetlag (using the Munich Chronotype Questionnaire), demographic variables and self-reported health and demographic variables, including ethnic minority membership. Supporting the validity of self-reports, participants with later chronotypes reported the lowest daytime sleepiness at a later clock time. We found that older age, female sex, a more eastward and southward geographical position, residence in a smaller settlement, less education and income, religiousness and cohabiting with small children were associated with an earlier chronotype. Younger age, higher education and income, and cohabiting with small children were associated with increased social jetlag. Of the 48 health-related variables surveyed, the relationship with both chronotype and social jetlag were mostly accounted for by age, sex, and socioeconomic effects, but we identified alcohol consumption, smoking, and physical activity as predictors of both social jetlag and chronotype, while a number of disorders were either positively or negatively associated with chronotype and social jetlag. Our findings from a large, nationally representative sample indicate that both biological and social factors influence chronotype and identified both demographic and health-related variables as risk factors for social jetlag. Our results, however, do not support a causal relationship between light exposure and mental health.},
	year = {2023},
	eissn = {2045-2322},
	orcid-numbers = {Ujma, Przemyslaw Péter/0000-0002-7981-3009; G. Horváth, Csenge/0000-0003-2609-5565; Bódizs, Róbert/0000-0001-5341-060X}
}

@article{MTMT:2511351,
	title = {Social jetlag negatively correlates with academic performance in undergraduates},
	url = {https://m2.mtmt.hu/api/publication/2511351},
	author = {Haraszti, RA and Ella, Krisztina and Gyöngyösi, Norbert and Roenneberg, T and Káldi, Krisztina},
	doi = {10.3109/07420528.2013.879164},
	journal-iso = {CHRONOBIOL INT},
	journal = {CHRONOBIOLOGY INTERNATIONAL},
	volume = {31},
	unique-id = {2511351},
	issn = {0742-0528},
	year = {2014},
	eissn = {1525-6073},
	pages = {603-612},
	orcid-numbers = {Ella, Krisztina/0000-0003-4961-5615; Káldi, Krisztina/0000-0002-5724-0182}
}