Sleepiness/alertness among healthy evening and morning type individuals

Rosenthal, León; Day, Ryan; Gerhardstein, Rebecca; Meixner, Renata; Roth, Thomas; Guido, Peter; Fortier, Joseph

doi:10.1016/s1389-9457(00)00047-2

Cited by 50 publications

(36 citation statements)

References 15 publications

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“…There was no statistical significance by the t test for unequal variances (p = 0.107). ns, not significant previous studies investigating the severity of daytime sleepiness for adults did not report any significant difference as per the ME types [15,22,23] like our result.…”

Section: Discussioncontrasting

confidence: 54%

No association of CLOCK 3111T/C polymorphism with diurnal preference and sleep quality in Korean adults

Kim

Lee

et al. 2015

Sleep Biol. Rhythms

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The CLOCK 3111T/C polymorphism has been associated with evening preference, but most of the following studies did not replicate the original finding.Although several studies suggested that the sleep quality was also influenced by genetic factors, the relationship of CLOCK 3111T/C polymorphism with sleep quality has not been identified in general population. We aimed to examine whether there is a difference in CLOCK 3111T/C polymorphism according to the morningness-eveningness in Korean adults, and to find a difference in sleep quality according to this polymorphism. Forty-five morning type (MT) (age: 43.93 ± 12.51 years, M:F = 14:31), 59 neither type (NT) (age: 35.20 ± 9.53 years, M:F = 20:39), and 52 evening type (ET) (age: 29.08 ± 7.94 years, M:F = 15:37) subjects were finally selected after excluding those with sleep disorders or shift work. The CLOCK 3111T/C was analyzed by DNA sequencing or SNaPshot assay. The genotype distribution, C allele frequency, and proportion of C allele positive subjects were significantly different between the MT, NT and ET groups. There was no significant difference in PSQI scores between the subjects with TC genotype and age-, sex-and ME type-matched subjects with TT genotype (n = 15 for each group). It is difficult to say that our result replicates the previous finding that showed an association of CLOCK 3111C allele with evening preference, for there was no subject with CLOCK 3111CC homozygote in our study. Moreover, the hypothesis that CLOCK 3111T/C polymorphism may be associated with sleep quality was not supported by our study.

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Section: Discussioncontrasting

confidence: 54%

No association of CLOCK 3111T/C polymorphism with diurnal preference and sleep quality in Korean adults

Kim

Lee

et al. 2015

Sleep Biol. Rhythms

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“…However, in adults, a late chronotype, which is associated with elevated incidence of an irregular sleep-wake rhythm, does not appear to influence well-being according to some authors (Taillard et al, 1999), although a recent study found it impacts negatively on academic achievement in early classes and performance by young adults on morning-time examinations (Beşoluk et al, 2011). It was earlier proposed that the negative consequences of an irregular sleep-wake rhythm are observed only in children and teenagers with a late chronotype, but not in adults (Rosenthal et al, 2001). On the basis of our data, it is possible to assume that the chronic disturbance of circadian system function caused by a divergence between social and solar time can lead to increases in cancer incidence, cancer mortality, and reduce life expectancy.…”

Section: Position In Time Zonementioning

confidence: 99%

Latitude of Residence and Position in Time Zone are Predictors of Cancer Incidence, Cancer Mortality, and Life Expectancy at Birth

Borisenkov

2011

Chronobiology International

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According to the hypothesis of circadian disruption, external factors that disturb the function of the circadian system can raise the risk of malignant neoplasm and reduce life span. Recent work has shown that the functionality of the circadian system is dependent not only on latitude of residence but also on the region's position in the time zone. The purpose of the present research was to examine the influence of latitude and time zone on cancer incidence, cancer mortality, and life expectancy at birth. A stepwise multiple regression analysis was carried out on residents of 59 regions of the European part of the Russian Federation (EPRF) using age-standardized parameters (per 100,000) of cancer incidence (CI), cancer mortality (CM), and life expectancy at birth (LE, yrs) as dependent variables. The geographical coordinates (latitude and position in the time zone) of the regions were used as independent variables, controlling for the level of economic development in the regions. The same analysis was carried out for LE in 31 regions in China. Latitude was the strongest predictor of LE in the EPRF population; it explained 48% and 45% of the variability in LE of women and men, respectively. Position within the time zone accounted for an additional 4% and 3% variability of LE in women and men, respectively. The highest values for LE were observed in the southeast of the EPRF. In China, latitude was not a predictor of LE, whereas position in the time zone explained 15% and 18% of the LE variability in women and men, respectively. The highest values of LE were observed in the eastern regions of China. Both latitude and position within the time zone were predictors for CI and CM of the EPRF population. Latitude was the best predictor of stomach CI and CM; this predictor explained 46% and 50% of the variability, respectively. Position within the time zone was the best predictor of female breast CM; it explained 15% of the variability. In most cases, CI and CM increased with increasing latitude of residence, from the eastern to the western border of the time zone, and with increasing level of economic development within the region. The dependence of CI, CM, and LE on the geographical coordinates of residence is in agreement with the hypothesis of circadian disruption.

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“…The biological and behavioral determinants of chronotype are not well understood in athletes, yet they can have a measurable impact on training and athletic performance [30]. A study in young, healthy, non-athletes (ages 27 ± 7 years) classified 14% of individuals as morning types [31]. In athletes, it appears there is a higher prevalence of morning types than in the general population [9,[32][33][34].…”

Section: Introductionmentioning

confidence: 99%

Sleep Quality and Chronotype Differences between Elite Athletes and Non-Athlete Controls

2018

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Previous research has found that elite athletes have insufficient sleep, yet the specific kinds of sleep disturbances occurring as compared to a control group are limited. Here we compare the subjective sleep quality and chronotype of elite athletes to a control group of non-athlete good sleepers. Sixty-three winter Canadian National Team athletes (mean age 26.0 ± 0.0; 32% females) completed the Pittsburgh Sleep Quality Index (PSQI) and the Athlete Morningness Eveningness Scale. They were compared to 83 healthy, non-athlete, good-sleeper controls (aged 27.3 ± 3.7; 51% females) who completed the PSQI and the Composite Scale of Morningness. The elite athletes reported poorer sleep quality (PSQI global score 5.0 ± 2.6) relative to the controls (PSQI global score 2.6 ± 1.3), despite there being no group difference in self-reported sleep duration (athletes 8.1 ± 1.0 h; controls 8.0 ± 0.7 h). Further, athletes' chronotype distribution showed a greater skew toward morningness, despite there being no group differences in self-reported usual bedtime and wake time. These results suggest that a misalignment of sleep times with circadian preference could contribute to poorer sleep quality in elite athletes.

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Sleepiness/alertness among healthy evening and morning type individuals

Cited by 50 publications

References 15 publications

No association of CLOCK 3111T/C polymorphism with diurnal preference and sleep quality in Korean adults

No association of CLOCK 3111T/C polymorphism with diurnal preference and sleep quality in Korean adults

Latitude of Residence and Position in Time Zone are Predictors of Cancer Incidence, Cancer Mortality, and Life Expectancy at Birth

Sleep Quality and Chronotype Differences between Elite Athletes and Non-Athlete Controls

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