9 research outputs found
TECHNOLOGY DEVELOPMENT FOR THE FOOD INDUSTRY: A CONCEPTUAL MODEL
The information available on high technology in food industry is systematized. Different approaches to the development and integration of scientific knowledge are discussed. According to the European Institute for Food Processing (EU-IFP), there are three possible areas where a breakthrough in food science can occur: biotechnology (BIOTECH), nanotechnology (NANO), and information and communication technology (ICT). A transition is expected of high technology in food industry to convergent technologies in a combination with cognitive science (COGNITIVE). The four components of high technology are analyzed using food industry examples. We believe that the transfer of scientific knowledge into food industry can facilitate the technological development of the Russian agroindustrial complex
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 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. © 202
When early and late risers were left to their own devices: six distinct chronotypes under “lockdown” remained dissimilar on their sleep and health problems
Under national “lockdown,” the habitual late risers need not wake up early, and, similarly to the early risers, they don’t lose much sleep on weekdays. We tested whether, despite a decrease in weekday sleep loss, the difference between distinct chronotypes in health and sleep problems persisted during “lockdown.” Two online surveys were conducted from 10th to 20th of May, 2020 and 2021, one of them after 6 non-working weeks and another after 14 working weeks (during and after “lockdown,” respectively). Participants were students of the same grade at the same university department (572 and 773, respectively). The self-assessments included the Single-Item Chronotyping (SIC) designed for self-choosing chronotype among several their short descriptions and several questions about general health, mood state, outdoors and physical activity, and sleep concerns. The results suggested that the responses to each of the questions were not randomly distributed over 6 distinct chronotypes. Such a nonrandomness was identified within each of three pairs of these chronotypes, evening vs. morning types (with a rising throughout the day vs. a falling level of alertness, respectively), afternoon vs. napping types (with a peak vs. a dip of alertness in the afternoon, respectively), and vigilant vs. lethargic types (with the levels of alertness being permanently high vs. low, respectively). Morning, afternoon, and vigilant types reported healthier sleep/mood/behavior/habits than three other types. The most and the least healthy sleep/mood/behavior/habits were reported by morning and evening types, respectively. These relationships with health and sleep problems and the frequencies of 6 chronotypes remained unchanged after “lockdown.” Such results, in particular, suggested that the association of evening types with poorer health and sleep might not be attributed to a big amount of weekday sleep loss. The accounting for this association might help in designing interventions purposed on reduction of sleep and health problems. © 2021 Taylor & Francis Group, LLC
An hour in the morning is worth two in the evening: association of morning component of morningness-eveningness with single nucleotide polymorphisms in circadian clock genes
Overlap between individual variation in personality traits and sleep-wake behavior
The efforts to link the individual differences in personality to the individual differences in sleep-wake behavior have a long history. One of the topics of such research might be to determine the strength of association between these two domains of individual variation. This requires the implementation of several inventories designed for integrative multidimensional assessments of a set of broad personality traits and a set of sleep-wake behavioral traits. Four independent samples were collected (in total, 759 individuals) for estimating general overlap between the domains of individual variation in personality psychology and chronobiology. Canonical correlation analyses provided the estimates of general overlap of six broad personality traits assessed with the 172-word RCIP (Rugby Cake Inventory of Personality) with six distinct sleep-wake adaptabilities assessed with the 72-item SWPAQ (Sleep-Wake Pattern Assessment Questionnaire) and the SWAT (Sleep-Wake Adaptability Test) in two, the 60- and 168-item, versions. It was demonstrated that general overlap between individual variation in two domains was significant and replicable albeit rather weak (6%–8%). Moreover, regression analyses of specific overlaps of each of six scales for assessing sleep-wake adaptability with a set of six scales for personality assessment suggested that a score on any of adaptability scales seemed to be a significant predictor of, at least, one of six scores on personality trait scales. Studies in other tongues are desired for the replication of the results indicating the statistically significant general and specific overlaps between personality traits and sleep-wake adaptabilities. © 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC part of Springer Nature
An hour in the morning is worth two in the evening: association of morning component of morningness–eveningness with single nucleotide polymorphisms in circadian clock genes
Sub-constructs of morning–evening preference might be differentially related to polymorphisms in circadian clock genes. We previously reported significant association between a single nucleotide polymorphism in PER3 (rs2640909) and Morning but not Evening Lateness scale of the Sleep–Wake Pattern Assessment Questionnaire. To further explore such a scale-specific relationship, seven single nucleotide polymorphisms in five circadian clock genes were studied using exploratory and confirmatory samples (in total, n = 698). The association of rs2640909 with Morning Lateness scale was not replicated in the confirmatory sample but remained significant in the merged sample. Moreover, we found and confirmed an association of this scale with rs1159814 in RORα. The results provided further evidence for differential relationship of polymorphisms in circadian clock genes with morning and evening components of morning–evening preference. We also suggested possibility to take into account the pattern of geographic variation in allele frequency for prioritization of circadian clock polymorphisms in candidate gene studies. © 2017 Informa UK Limited, trading as Taylor & Francis Group
Differences between male and female university students in sleepiness, weekday sleep loss, and weekend sleep duration
Introduction: Women and men experience sleep differently and the difference in intrinsic desire for sleep might underlie some of the observed male-female differences. The objective of this cross-sectional questionnaire study of university students was to determine male-female differences in self-reported sleepiness and sleep-wake patterns. Methods: Five questionnaires were completed by 1650 students at four Russian universities. Results: Compared to male students, female students reported a lower subjective sleep quality score, had a higher morning sleepability score and lower nighttime and daytime wakeability scores. They more often reported excessive daytime sleepiness and expected to be sleepier at any time of the day with the largest male-female difference around the times of sleep onset and offset. On free days, they reported a longer sleep duration and an earlier sleep onset. Free-weekday difference was larger for sleep duration and smaller for sleep onset. Such male-female differences showed similarity to the differences observed in university and high school students from different countries around the globe. There was no significant male-female difference in weekly averaged sleep duration, weekday sleep duration, hours slept, midpoint of sleep on free days, free-weekday difference in sleep offset, social jetlag, and morningness-eveningness score. Therefore, when studies rely on these self-reports, the most salient male-female differences might not be immediately evident. Conclusions: It seems that the intrinsic desire for longer sleep duration might contribute to a higher susceptibility of female students to weekday sleep loss. Among these students, negative effects of reduced sleep duration might be more common and more detrimental. © 2021 The Foundation for Professionals in Services for Adolescent
An hour in the morning is worth two in the evening: association of morning component of morningness–eveningness with single nucleotide polymorphisms in circadian clock genes
Sub-constructs of morning–evening preference might be differentially related to polymorphisms in circadian clock genes. We previously reported significant association between a single nucleotide polymorphism in PER3 (rs2640909) and Morning but not Evening Lateness scale of the Sleep–Wake Pattern Assessment Questionnaire. To further explore such a scale-specific relationship, seven single nucleotide polymorphisms in five circadian clock genes were studied using exploratory and confirmatory samples (in total, n = 698). The association of rs2640909 with Morning Lateness scale was not replicated in the confirmatory sample but remained significant in the merged sample. Moreover, we found and confirmed an association of this scale with rs1159814 in RORα. The results provided further evidence for differential relationship of polymorphisms in circadian clock genes with morning and evening components of morning–evening preference. We also suggested possibility to take into account the pattern of geographic variation in allele frequency for prioritization of circadian clock polymorphisms in candidate gene studies. © 2017 Informa UK Limited, trading as Taylor & Francis Group
Single-Item Chronotyping (SIC), a method to self-assess diurnal types by using 6 simple charts
Research on individual differences in the fields of chronobiology and chronopsychology mostly focuses on two – morning and evening – chronotypes. However, recent developments in these fields pointed at a possibility to extend chronotypology beyond just two chronotypes. We examined this possibility by implementing the Single-Item Chronotyping (SIC) as a method for self-identification of chronotype among six simple chart options illustrating the daily change in alertness level. Of 2283 survey participants, 2176 (95%) chose one of these options. Only 13% vs. 24% chose morning vs. evening type (a fall vs. a rise of alertness from morning to evening), while the majority of participants chose four other types (with a peak vs. a dip of alertness in the afternoon and with permanently high vs. low alertness levels throughout the day, 15% vs. 18% and 9% vs. 16%, respectively). The same 6 patterns of diurnal variation in sleepiness were yielded by principal component analysis of sleepiness curves. Six chronotypes were also validated against the assessments of sleep timing, excessive daytime sleepiness, and abilities to wake or sleep on demand at different times of the day. We concluded that the study results supported the feasibility of classification with the 6 options provided by the SIC. © 2020 Elsevier Lt