Big six of the individual adaptive ability of the sleep-wake cycle: Explanation and measurement

Putilov, Arcady A.; Putilov, Dmitriy A.

doi:10.1080/09291010500480791

Cited by 14 publications

(8 citation statements)

References 19 publications

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“…This questionnaire was elaborated by the Russian researchers Putilov and Putilov [16 ]in 2006. The multidimensional approach of the SWPAQ does not consider morningness and eveningness as the 2 ends of a continuum, but as independent factors, with other aspects being evaluated using separate subscales.…”

Section: Methodsmentioning

confidence: 99%

A Study of Biological Rhythm Disturbances in Polish Remitted Bipolar Patients using the BRIAN, CSM, and SWPAQ Scales

Dopierała¹,

Chrobak

Kapczinski

et al. 2016

Neuropsychobiology

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Background/Aims: The Biological Rhythms Interview of Assessment in Neuropsychiatry (BRIAN) is a novel tool allowing for a complex assessment of biological rhythms. We compared patients with bipolar disorder (BD) and healthy control subjects (HC) using the Polish version of the BRIAN scale. Method: Fifty-four remitted BD patients (17 males and 37 females aged 52 ± 13 years) and 54 healthy control subjects (25 males and 29 females aged 42 ± 14 years) were studied. In addition to the BRIAN scale, the Composite Scale of Morningness (CSM) and the Sleep-Wake Pattern Assessment Questionnaire (SWPAQ) were employed. Results: The Polish version of the BRIAN scale displayed high feasibility and consistency, showing that the patients had greater biological rhythm disturbances than the controls. After regression analysis, significant differences were obtained for the BRIAN subscales activity and predominant chronotype, and for the SWPAQ items quality of night-time sleep and ability to stay awake. We obtained positive correlations between higher BRIAN scores and morningness and eveningness, but the correlations with vigilance and the ability to stay awake (on the SWPAQ) were negative. Conclusions: Using the BRIAN scale, we confirmed the greater disturbances of biological rhythm in Polish remitted bipolar patients, compared with healthy controls. The differences between these 2 groups in sleep-awake patterns were also demonstrated by the SWPAQ scores. In contrast to other studies, we were unable to confirm an evening chronotype as a discriminating factor between remitted bipolar patients and healthy subjects. This can be explained by the older age and the use of lithium by a significant proportion of the patients.

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Section: Methodsmentioning

confidence: 99%

A Study of Biological Rhythm Disturbances in Polish Remitted Bipolar Patients using the BRIAN, CSM, and SWPAQ Scales

Dopierała¹,

Chrobak

Kapczinski

et al. 2016

Neuropsychobiology

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“…The second sample includes 2240 respondents who completed the same version of the SWPAQ within a questionnaire battery for a study of epidemiology of seasonal depression that was conducted between 1990 and 1992 (Booker et al 1991;Putilov et al 1994Putilov et al , 1999Putilov 2003Putilov , 2005. The third sample (n ¼ 878) was collected between 1993 and 2006 in the course of psychometric evaluation and validation of two enlarged versions of the SWPAQ including either 52 items (Putilov 2000;Danilenko et al 2004;Putilov and Onischenko 2005) or 72 items (Putilov and Putilov 2006;Putilov 2007;Verevkin et al 2007). …”

Section: Methods Samplesmentioning

confidence: 99%

Gender differences in morning and evening lateness

Putilov

Verevkin

Ivanova

et al. 2008

Biological Rhythm Research

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Studies of morning-evening preference consistently recognize age differences, but gender differences are rarely reported. To examine these differences, we applied the Sleep-Wake Pattern Assessment Questionnaire (Putilov 1990(Putilov , 2000(Putilov , 2007. Unlike unidimensional morningness-eveningness scales, it includes separate scales for the measurement of Evening and Morning lateness (E and M, respectively). Data on 7465 adolescents and adults suggest that both E and M scores significantly decline with age. Genders are identical on the sum of E and M scores, but female respondents of any age cohort have a lower E score and a higher M score. Differences between these scores remain constant across ages. Analysis of a subset of data on 2016 adults revealed significant correlation of this difference with self-reported sleep length which, however, is not significantly longer in women. We concluded that, compared to men, women prefer earlier bedtimes and later wake up times and can desire but not obtain more sleep.

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“…Factor analysis of the SWPAQ items always revealed six factors showing reasonable correspondence to the six scales of the questionnaire [13,14], while the rotation of the three largest factors yields three "super factors" combining the items of three pairs of scales, E and M, S and F, and W and V [14]. These "super factor" scores were estimated by summing the scores on the corresponding pairs of scales (.…”

Section: State and Trait Self-ratingsmentioning

confidence: 99%

Structuring the inter-individual variation in waking EEG can help to discriminate between the objective markers of sleep debt and sleep pressure

et al. 2009

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Modern society is characterized by the steadily increasing demand and desire for wakefulness at all hours of the day. Research in the fields of sleep physiology and chronophysiology can offer instruments enabling the identification of people with and without advantageous traits, such as little need for sleep, decreased sleepiness associated with sleep loss, and rapid adaptation to changes in the workrest schedule. These instruments can also help to quantify the severity of sleep-wake disorders (i.e., excessive daytime sleepiness) and the effects of their treatment. However, inter-individual differences in sleep need, vulnerability to sleep loss, and circadian adaptation remain scientifically understudied and are rarely theoretically and practically considered [19]. At present, it remains largely unknown what may underlie and predict sleep-wake related traits, what relationship these traits may have to each other, and what functional significance may be associated with these traits [20].Van Dongen and Dinges [19] emphasized the importance of three independent parameters for any model aimed at predicting reduced alertness and performance in the conditions of sleep loss and sleep disruption. These include (1) the timing and/or rate of circadian adjustment (i.e., circadian phase), (2) the amount of sleep required per day (i.e., sleep need), and (3) the rate of impairment per hour of sleep loss (i.e., vulnerability to sleep deprivation). There is solid evidence for substantial and clearly distinguishable interindividual variation in each of these three parameters. The differences between individuals are often characterized by within-individual stability (i.e., replicability) and robustness (i.e., insensitivity to experimental manipulation). These features suggest that the inter-individual differences represent systematic trait-like variability (see [18,20] for details). Understanding the basis of this variability may yield new insight into sleep-wake regulation and sleep-wake pathology [20].Agreement exists with respect to the markers of the individual circadian phase (i.e., it can be determined by tracing daily variations in core body temperature, secretion of melatonin and cortisol), but, to date, there is no consensus on the biological markers of sleep need and vulnerability to impairment from lack of sleep. However, it is possible to identify these markers by quantification of the response of brain wave activity to sleep deprivation. The analysis of changes in spectral characteristics of the electroencephalogram (EEG) is regarded as the physiological gold standard for identifying shifts along the alertness-drowsiness continuum [1,2,9,17]. It was demonstrated that sleep loss selectively modulates the spectral power densities of the EEG signal recorded either during prolonged wakefulness [3,4] or during subsequent recovery sleep [4,5,12]. Moreover, the results of numerous studies indicate that the changes in oscillatory brain activity within certain frequency ranges can provide reliable indexes of the reduced alertn...

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Big six of the individual adaptive ability of the sleep-wake cycle: Explanation and measurement

Cited by 14 publications

References 19 publications

A Study of Biological Rhythm Disturbances in Polish Remitted Bipolar Patients using the BRIAN, CSM, and SWPAQ Scales

A Study of Biological Rhythm Disturbances in Polish Remitted Bipolar Patients using the BRIAN, CSM, and SWPAQ Scales

Gender differences in morning and evening lateness

Structuring the inter-individual variation in waking EEG can help to discriminate between the objective markers of sleep debt and sleep pressure

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