A six-factor structure of individual variation in the tendencies to become sleepy and to sleep at different times of the day

A multidimensional approach has been previously applied for modeling and assessment of individual differences in the ability to sleep or to stay awake at certain clock hours. More recently the 19 time-point Visuo-verbal Judgment Task (VJT) has been proposed to predict changes in sleepiness level fro...
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Autor*in:	Arcady A. Putilov [verfasserIn] Elena V. Budkevich [verfasserIn] Elena L. Tinkova [verfasserIn] Marina P. Dyakovich [verfasserIn] Dmitry S. Sveshnikov [verfasserIn] Olga G. Donskaya [verfasserIn] Roman O. Budkevich [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Schlagwörter:	Chronotypology Morning-evening preference Chronopsychology Drowsiness Sleepwake pattern

Übergeordnetes Werk:	In: Acta Psychologica - Elsevier, 2021, 217(2021), Seite 103327-
Übergeordnetes Werk:	volume:217 ; year:2021 ; pages:103327-

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1016/j.actpsy.2021.103327

Katalog-ID:	DOAJ057930015

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allfields_unstemmed	10.1016/j.actpsy.2021.103327 doi (DE-627)DOAJ057930015 (DE-599)DOAJc6de9d1b0b07429394154bbd029605fb DE-627 ger DE-627 rakwb eng BF1-990 Arcady A. Putilov verfasserin aut A six-factor structure of individual variation in the tendencies to become sleepy and to sleep at different times of the day 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier A multidimensional approach has been previously applied for modeling and assessment of individual differences in the ability to sleep or to stay awake at certain clock hours. More recently the 19 time-point Visuo-verbal Judgment Task (VJT) has been proposed to predict changes in sleepiness level from the morning hours to the next day afternoon. The dimensionality of the VJT has not been explored so far. We applied a structural model of individual variation in sleep-wake behavior and habits for explaining the pattern of relationship between the VJT's dimensions yielded by rotation of principal components with eigenvalue<1. The responses to 19 items of the VJT, 72 items of 6-scale Sleep Wake Pattern Assessment Questionnaire (SWPAQ) and 60 items of 6-scale Sleep-Wake Adaptability Test (SWAT) were collected from 1037 survey participants. Factor analyses yielded 4 factorial dimensions of morning (08:00–11:00), daytime (12:00–20:00), nighttime (21:00–04:00), and after 24 h sleepiness (06:00–12:00 next day). The model was found to be capable to explain the correlations among 4 constructs of the VJT as well as the correlations among previously developed scales of the SWPAQ and SWAT. The results confirmed the predictive power of the model and its applicability for multidimensional assessments in chronobiological and chronopsychological studies. Chronotypology Morning-evening preference Chronopsychology Drowsiness Sleepwake pattern Psychology Elena V. Budkevich verfasserin aut Elena L. Tinkova verfasserin aut Marina P. Dyakovich verfasserin aut Dmitry S. Sveshnikov verfasserin aut Olga G. Donskaya verfasserin aut Roman O. Budkevich verfasserin aut In Acta Psychologica Elsevier, 2021 217(2021), Seite 103327- (DE-627)27135142X (DE-600)1480049-4 18736297 nnns volume:217 year:2021 pages:103327- https://doi.org/10.1016/j.actpsy.2021.103327 kostenfrei https://doaj.org/article/c6de9d1b0b07429394154bbd029605fb kostenfrei http://www.sciencedirect.com/science/article/pii/S0001691821000779 kostenfrei https://doaj.org/toc/0001-6918 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_165 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2008 GBV_ILN_2014 GBV_ILN_2025 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2064 GBV_ILN_2086 GBV_ILN_2106 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 217 2021 103327-
allfieldsGer	10.1016/j.actpsy.2021.103327 doi (DE-627)DOAJ057930015 (DE-599)DOAJc6de9d1b0b07429394154bbd029605fb DE-627 ger DE-627 rakwb eng BF1-990 Arcady A. Putilov verfasserin aut A six-factor structure of individual variation in the tendencies to become sleepy and to sleep at different times of the day 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier A multidimensional approach has been previously applied for modeling and assessment of individual differences in the ability to sleep or to stay awake at certain clock hours. More recently the 19 time-point Visuo-verbal Judgment Task (VJT) has been proposed to predict changes in sleepiness level from the morning hours to the next day afternoon. The dimensionality of the VJT has not been explored so far. We applied a structural model of individual variation in sleep-wake behavior and habits for explaining the pattern of relationship between the VJT's dimensions yielded by rotation of principal components with eigenvalue<1. The responses to 19 items of the VJT, 72 items of 6-scale Sleep Wake Pattern Assessment Questionnaire (SWPAQ) and 60 items of 6-scale Sleep-Wake Adaptability Test (SWAT) were collected from 1037 survey participants. Factor analyses yielded 4 factorial dimensions of morning (08:00–11:00), daytime (12:00–20:00), nighttime (21:00–04:00), and after 24 h sleepiness (06:00–12:00 next day). The model was found to be capable to explain the correlations among 4 constructs of the VJT as well as the correlations among previously developed scales of the SWPAQ and SWAT. The results confirmed the predictive power of the model and its applicability for multidimensional assessments in chronobiological and chronopsychological studies. Chronotypology Morning-evening preference Chronopsychology Drowsiness Sleepwake pattern Psychology Elena V. Budkevich verfasserin aut Elena L. Tinkova verfasserin aut Marina P. Dyakovich verfasserin aut Dmitry S. Sveshnikov verfasserin aut Olga G. Donskaya verfasserin aut Roman O. Budkevich verfasserin aut In Acta Psychologica Elsevier, 2021 217(2021), Seite 103327- (DE-627)27135142X (DE-600)1480049-4 18736297 nnns volume:217 year:2021 pages:103327- https://doi.org/10.1016/j.actpsy.2021.103327 kostenfrei https://doaj.org/article/c6de9d1b0b07429394154bbd029605fb kostenfrei http://www.sciencedirect.com/science/article/pii/S0001691821000779 kostenfrei https://doaj.org/toc/0001-6918 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_165 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2008 GBV_ILN_2014 GBV_ILN_2025 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2064 GBV_ILN_2086 GBV_ILN_2106 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 217 2021 103327-
allfieldsSound	10.1016/j.actpsy.2021.103327 doi (DE-627)DOAJ057930015 (DE-599)DOAJc6de9d1b0b07429394154bbd029605fb DE-627 ger DE-627 rakwb eng BF1-990 Arcady A. Putilov verfasserin aut A six-factor structure of individual variation in the tendencies to become sleepy and to sleep at different times of the day 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier A multidimensional approach has been previously applied for modeling and assessment of individual differences in the ability to sleep or to stay awake at certain clock hours. More recently the 19 time-point Visuo-verbal Judgment Task (VJT) has been proposed to predict changes in sleepiness level from the morning hours to the next day afternoon. The dimensionality of the VJT has not been explored so far. We applied a structural model of individual variation in sleep-wake behavior and habits for explaining the pattern of relationship between the VJT's dimensions yielded by rotation of principal components with eigenvalue<1. The responses to 19 items of the VJT, 72 items of 6-scale Sleep Wake Pattern Assessment Questionnaire (SWPAQ) and 60 items of 6-scale Sleep-Wake Adaptability Test (SWAT) were collected from 1037 survey participants. Factor analyses yielded 4 factorial dimensions of morning (08:00–11:00), daytime (12:00–20:00), nighttime (21:00–04:00), and after 24 h sleepiness (06:00–12:00 next day). The model was found to be capable to explain the correlations among 4 constructs of the VJT as well as the correlations among previously developed scales of the SWPAQ and SWAT. The results confirmed the predictive power of the model and its applicability for multidimensional assessments in chronobiological and chronopsychological studies. Chronotypology Morning-evening preference Chronopsychology Drowsiness Sleepwake pattern Psychology Elena V. Budkevich verfasserin aut Elena L. Tinkova verfasserin aut Marina P. Dyakovich verfasserin aut Dmitry S. Sveshnikov verfasserin aut Olga G. Donskaya verfasserin aut Roman O. Budkevich verfasserin aut In Acta Psychologica Elsevier, 2021 217(2021), Seite 103327- (DE-627)27135142X (DE-600)1480049-4 18736297 nnns volume:217 year:2021 pages:103327- https://doi.org/10.1016/j.actpsy.2021.103327 kostenfrei https://doaj.org/article/c6de9d1b0b07429394154bbd029605fb kostenfrei http://www.sciencedirect.com/science/article/pii/S0001691821000779 kostenfrei https://doaj.org/toc/0001-6918 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_165 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2008 GBV_ILN_2014 GBV_ILN_2025 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2064 GBV_ILN_2086 GBV_ILN_2106 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 217 2021 103327-
language	English
source	In Acta Psychologica 217(2021), Seite 103327- volume:217 year:2021 pages:103327-
sourceStr	In Acta Psychologica 217(2021), Seite 103327- volume:217 year:2021 pages:103327-
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Chronotypology Morning-evening preference Chronopsychology Drowsiness Sleepwake pattern Psychology
isfreeaccess_bool	true
container_title	Acta Psychologica
authorswithroles_txt_mv	Arcady A. Putilov @@aut@@ Elena V. Budkevich @@aut@@ Elena L. Tinkova @@aut@@ Marina P. Dyakovich @@aut@@ Dmitry S. Sveshnikov @@aut@@ Olga G. Donskaya @@aut@@ Roman O. Budkevich @@aut@@
publishDateDaySort_date	2021-01-01T00:00:00Z
hierarchy_top_id	27135142X
id	DOAJ057930015
language_de	englisch
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callnumber-first	B - Philosophy, Psychology, Religion
author	Arcady A. Putilov
spellingShingle	Arcady A. Putilov misc BF1-990 misc Chronotypology misc Morning-evening preference misc Chronopsychology misc Drowsiness misc Sleepwake pattern misc Psychology A six-factor structure of individual variation in the tendencies to become sleepy and to sleep at different times of the day
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topic_title	BF1-990 A six-factor structure of individual variation in the tendencies to become sleepy and to sleep at different times of the day Chronotypology Morning-evening preference Chronopsychology Drowsiness Sleepwake pattern
topic	misc BF1-990 misc Chronotypology misc Morning-evening preference misc Chronopsychology misc Drowsiness misc Sleepwake pattern misc Psychology
topic_unstemmed	misc BF1-990 misc Chronotypology misc Morning-evening preference misc Chronopsychology misc Drowsiness misc Sleepwake pattern misc Psychology
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title	A six-factor structure of individual variation in the tendencies to become sleepy and to sleep at different times of the day
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title_full	A six-factor structure of individual variation in the tendencies to become sleepy and to sleep at different times of the day
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author_browse	Arcady A. Putilov Elena V. Budkevich Elena L. Tinkova Marina P. Dyakovich Dmitry S. Sveshnikov Olga G. Donskaya Roman O. Budkevich
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title_sort	six-factor structure of individual variation in the tendencies to become sleepy and to sleep at different times of the day
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title_auth	A six-factor structure of individual variation in the tendencies to become sleepy and to sleep at different times of the day
abstract	A multidimensional approach has been previously applied for modeling and assessment of individual differences in the ability to sleep or to stay awake at certain clock hours. More recently the 19 time-point Visuo-verbal Judgment Task (VJT) has been proposed to predict changes in sleepiness level from the morning hours to the next day afternoon. The dimensionality of the VJT has not been explored so far. We applied a structural model of individual variation in sleep-wake behavior and habits for explaining the pattern of relationship between the VJT's dimensions yielded by rotation of principal components with eigenvalue<1. The responses to 19 items of the VJT, 72 items of 6-scale Sleep Wake Pattern Assessment Questionnaire (SWPAQ) and 60 items of 6-scale Sleep-Wake Adaptability Test (SWAT) were collected from 1037 survey participants. Factor analyses yielded 4 factorial dimensions of morning (08:00–11:00), daytime (12:00–20:00), nighttime (21:00–04:00), and after 24 h sleepiness (06:00–12:00 next day). The model was found to be capable to explain the correlations among 4 constructs of the VJT as well as the correlations among previously developed scales of the SWPAQ and SWAT. The results confirmed the predictive power of the model and its applicability for multidimensional assessments in chronobiological and chronopsychological studies.
abstractGer	A multidimensional approach has been previously applied for modeling and assessment of individual differences in the ability to sleep or to stay awake at certain clock hours. More recently the 19 time-point Visuo-verbal Judgment Task (VJT) has been proposed to predict changes in sleepiness level from the morning hours to the next day afternoon. The dimensionality of the VJT has not been explored so far. We applied a structural model of individual variation in sleep-wake behavior and habits for explaining the pattern of relationship between the VJT's dimensions yielded by rotation of principal components with eigenvalue<1. The responses to 19 items of the VJT, 72 items of 6-scale Sleep Wake Pattern Assessment Questionnaire (SWPAQ) and 60 items of 6-scale Sleep-Wake Adaptability Test (SWAT) were collected from 1037 survey participants. Factor analyses yielded 4 factorial dimensions of morning (08:00–11:00), daytime (12:00–20:00), nighttime (21:00–04:00), and after 24 h sleepiness (06:00–12:00 next day). The model was found to be capable to explain the correlations among 4 constructs of the VJT as well as the correlations among previously developed scales of the SWPAQ and SWAT. The results confirmed the predictive power of the model and its applicability for multidimensional assessments in chronobiological and chronopsychological studies.
abstract_unstemmed	A multidimensional approach has been previously applied for modeling and assessment of individual differences in the ability to sleep or to stay awake at certain clock hours. More recently the 19 time-point Visuo-verbal Judgment Task (VJT) has been proposed to predict changes in sleepiness level from the morning hours to the next day afternoon. The dimensionality of the VJT has not been explored so far. We applied a structural model of individual variation in sleep-wake behavior and habits for explaining the pattern of relationship between the VJT's dimensions yielded by rotation of principal components with eigenvalue<1. The responses to 19 items of the VJT, 72 items of 6-scale Sleep Wake Pattern Assessment Questionnaire (SWPAQ) and 60 items of 6-scale Sleep-Wake Adaptability Test (SWAT) were collected from 1037 survey participants. Factor analyses yielded 4 factorial dimensions of morning (08:00–11:00), daytime (12:00–20:00), nighttime (21:00–04:00), and after 24 h sleepiness (06:00–12:00 next day). The model was found to be capable to explain the correlations among 4 constructs of the VJT as well as the correlations among previously developed scales of the SWPAQ and SWAT. The results confirmed the predictive power of the model and its applicability for multidimensional assessments in chronobiological and chronopsychological studies.
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title_short	A six-factor structure of individual variation in the tendencies to become sleepy and to sleep at different times of the day
url	https://doi.org/10.1016/j.actpsy.2021.103327 https://doaj.org/article/c6de9d1b0b07429394154bbd029605fb http://www.sciencedirect.com/science/article/pii/S0001691821000779 https://doaj.org/toc/0001-6918
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A six-factor structure of individual variation in the tendencies to become sleepy and to sleep at different times of the day

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