Abstract:Diurnal preference (chronotype) is a useful instrument for studying circadian biology in humans. It harbours trait-like dimensions relating to circadian period and sleep homeostasis, but also has ontogenetic components (morningness increases with age). We used the Morningness-Eveningness questionnaire (MEQ) in the Baependi study, a family-based cohort study based in a small town in Minas Gerais, Brazil. The population is highly admixed and has a cohesive and conservative lifestyle. 825 individuals (497 female)… Show more
“…For example, morning types reach their highest performance early during the day whereas evening types reach their peak performance in the afternoon, evening, or at night. M/E can be assessed by a set of questionnaires, and M/E is a heritable trait (von Schantz et al, 2015) with a genetic basis (Barclay, Watson, Buchwald, & Goldberg, 2014;Toomey, Panizzon, Kremen, Franz, & Lyons, 2015;Watson, Buchwald, & Harden, 2013). The variance in circadian preference is reflected in diurnal profiles of hormones, such as melatonin (Burgess & Fogg, 2008) or cortisol (Randler & Schaal, 2010) and body temperature (Baehr, Revelle, & Eastman, 2000;Mongrain, Lavoie, Selmaoui, Paquet, & Dumont, 2004).…”
Morningness–eveningness is the preference for different times of day for activity and sleep. Here, we addressed the effects of sleep behavior and morningness–eveningness on sociosexuality. Three hundred students ( M age = 22.75 years, with 95% between 18 and 28) participated online, answering questions about morningness–eveningness (rMEQ [Reduced Morningness–Eveningness Questionnaire]), midpoint of sleep on free days (MSF), sleep duration, and the Sociosexuality Orientation Inventory–Revised (SOI-R). The SOI-R contains three subscales, Behavior, Attitude, and Desire. Evening orientation and short sleep duration were related to a higher total SOI-R and to the three subscales. Based on the linear models, the strongest effect on sociosexuality was produced by gender (27% explained variance) while age accounted for 6% of variance. Nonadditive variance explained by sleep–wake behavior was 7% (MSF), 4% (sleep duration), and 4% (rMEQ scores; 3% rMEQ-based typology). Older age was related to less-restricted sociosexuality, and men were less restricted than women in Attitude and Desire. Sleep duration and rMEQ scores were associated with Attitude and Desire; but only MSF was significantly related to Behavior. The data show that sleep–wake variables are associated with sociosexuality, with evening orientation and shorter sleep duration being related to a less-restricted sociosexuality.
“…For example, morning types reach their highest performance early during the day whereas evening types reach their peak performance in the afternoon, evening, or at night. M/E can be assessed by a set of questionnaires, and M/E is a heritable trait (von Schantz et al, 2015) with a genetic basis (Barclay, Watson, Buchwald, & Goldberg, 2014;Toomey, Panizzon, Kremen, Franz, & Lyons, 2015;Watson, Buchwald, & Harden, 2013). The variance in circadian preference is reflected in diurnal profiles of hormones, such as melatonin (Burgess & Fogg, 2008) or cortisol (Randler & Schaal, 2010) and body temperature (Baehr, Revelle, & Eastman, 2000;Mongrain, Lavoie, Selmaoui, Paquet, & Dumont, 2004).…”
Morningness–eveningness is the preference for different times of day for activity and sleep. Here, we addressed the effects of sleep behavior and morningness–eveningness on sociosexuality. Three hundred students ( M age = 22.75 years, with 95% between 18 and 28) participated online, answering questions about morningness–eveningness (rMEQ [Reduced Morningness–Eveningness Questionnaire]), midpoint of sleep on free days (MSF), sleep duration, and the Sociosexuality Orientation Inventory–Revised (SOI-R). The SOI-R contains three subscales, Behavior, Attitude, and Desire. Evening orientation and short sleep duration were related to a higher total SOI-R and to the three subscales. Based on the linear models, the strongest effect on sociosexuality was produced by gender (27% explained variance) while age accounted for 6% of variance. Nonadditive variance explained by sleep–wake behavior was 7% (MSF), 4% (sleep duration), and 4% (rMEQ scores; 3% rMEQ-based typology). Older age was related to less-restricted sociosexuality, and men were less restricted than women in Attitude and Desire. Sleep duration and rMEQ scores were associated with Attitude and Desire; but only MSF was significantly related to Behavior. The data show that sleep–wake variables are associated with sociosexuality, with evening orientation and shorter sleep duration being related to a less-restricted sociosexuality.
“…CH is considered as the combination of both biological (genetic factors, aging of the body) and psychosocial (hours of study or work, the rhythm of family life) processes (Allebrandt and Roenneberg 2008). CH is highly heritable (heritability ~50%) (Koskenvuo et al 2007, von Schantz et al 2015. Studies suggested relationships between CH and both differences in the activation level (extraversion/ introversion, novelty seeking, mobility, strength of activation/inhibition of the nervous system) and severity of depression and anxiety (Frank et al 2013, Ottoni et al 2012.…”
Genetic background and clinical picture of mood disorders (MD) are complex and may depend on many genes and their potential interactions as well as environmental factors. Therefore, clinical variations, or endophenotypes, were suggested for association studies.The aim of the study was to investigate association between the chronotype (CH) and quality of sleep characteristics with polymorphisms CLOCK, ARNTL, TIMELESS and PER3 genes in MD. We included a total sample of 111 inpatients and 126 healthy controls. To assess CH we applied Morningness-Eveningness Questionnaire (MEQ). Additionally, we defined the quality and patterns of sleep using The Pittsburgh Sleep Quality Index (PSQI) and Epworth Sleepiness Scale (ESS). We applied Kruskal-Wallis test to determine associations. The main positive findings refer to associations between selected polymorphisms and: 1) chronotype with the ARNTL gene (rs11824092 and rs1481892) and the CLOCK (rs1268271), 2) sleep duration with the CLOCK gene (rs3805148) and the TIM gene (rs2291739), 3) daytime dysfunction with the PER3 gene (rs228727, rs228642, rs10864315), 4) subjective sleep quality with the ARNTL gene (rs11824092, rs1982350), 5) sleep disturbances with the ARNTL gene (rs11600996).We also found the significant epistatic interactions between polymorphism of the PER3 gene (rs2640909) & the CLOCK gene (rs11932595) and following sleep quality variables: sleep duration, habitual sleep efficiency and subjective sleep quality.The present study suggests a putative role of the analyzed clock genes polymorphisms in chronotype in the control group and in sleep quality disturbances in the course of MD. The results indicate that PSQI variables can be used to refine phenotype in association studies of clock genes in MD.
“…Most studies that have assessed the heritability of chronotype in populations have estimated it to be ~50%. [49][50][51] However, two studies have arrived at much lower estimates of 14% and 23%, 52,53 and notably chronotype was not normally distributed in these two populations. In the study of an Amazonian …”
Section: Does Athletic Activity Influence Chronotype?mentioning
Many of the physiological and psychological qualities that influence an athlete's performance show diurnal variation. Humans present with a temporal phenotype, their chronotype that affects their preference for morning or evening activity. There is considerable interindividual variation in the phase relationship of physiological processes, hormones and core body temperature to external time due to chronotype. This can lead to differences in the times of peaks of physical performance within a day. Chronotype is thus an important variable in determining optimal times for training and competition and may affect an athlete's choice of sport or his/ her success in it. We review the evidence that chronotype influences athletic performance and speculate about how athletes might overcome the effects of chronotype when their schedule is out of phase with their circadian rhythm.
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