Distribution Of Chronotypes Research Articles

Chronotypes in menstrual migraine: a case–control study

Migraine attacks have a seasonal, menstrual and circadian periodicity, suggesting a role of chronobiological mechanisms probably related to a hypothalamic involvement. The aim of the study was to evaluate the chronotypes in patients with menstrual migraine, a migraine sub-type with a cyclical recurrence compared to normal female. Ninety-three patients with ICHD-II diagnosis of pure menstrual migraine and menstrually-related migraine were recruited and compared to 85 age-matched healthy women. The Italian version of Morningness-Eveningness Questionnaire was administered to identify circadian preference of our participants. No differences were found regarding the distribution of chronotypes in patients with menstrual migraine and healthy controls. The study did not confirm the presence of a morning and evening preference among migraineurs as previously reported.

Human chronotypes in the North

Long-term exposure to the climatic and social factors of the North cause desynchronization of the human circadian system, which can lead to an increase in the risk of age-associated diseases. Earlier, on a small sample, I showed that the higher the latitude at which a person resides in the North, the higher the frequency of the late chronotype. In addition, the parameters of diurnal rhythm in a late-chronotype subject are less expressed than in an early-chronotype one. The purpose of this study was to estimate the frequency distribution of various chronotypes depending on the latitude at which a person resides. Chronotypes were assessed by the Munich Chronotype Questionnaire (MCTQ). My study included 772 inhabitants of the Republic of Komi. It was shown that there was a significant northward trend towards a higher prevalence of the late chronotype. Thus, an increase in the frequency of the late chronotype, whose circadian rhythm is most sensitive to the negative action of climatic and social factors of the North, may be one of the causes of its desynchronization and an increase in the risk of age-associated diseases in northerners.

3111T/C CLOCK GENE POLYMORPHISM IS NOT ASSOCIATED WITH SLEEP DISTURBANCES IN UNTREATED DEPRESSED PATIENTS

Sleep patterns, frequently altered in depression, have been hypothesized to be under genetic control. The circadian locomotor output cycles kaput (CLOCK) T3111C variant has been studied in association with sleep disturbances in depressed patients. The aim of this study was to investigate possible effects of T3111C CLOCK on insomnia, daytime sleepiness, sleep quality, and depression severity in a sample of 100 major depressive disorder patients. Inclusion criteria were: major depressive disorder, drug-free for any antidepressant and/or benzodiazepines for at least four weeks previously to the study, and a minimum score of >17 on the Hamilton Rating Scale for Depression. The Morningness–Eveningness Questionnaire, Epworth Sleepiness Scale, Athens Insomnia Scale, and Pittsburgh Sleep Quality Index were applied. No significant difference was found concerning genotype or allele groups and Hamilton Rating Scale for Depression items or clusters. No difference was found between genotypes and comorbidity, chronotype distribution, Epworth Sleepiness Scale, Athens Insomnia Scale, or Pittsburgh Sleep Quality Index total scores. Overall, the present findings did not support the hypothesis of an effect of the T3111C CLOCK variant on sleep disturbances in major depressive disorder. Further analysis of clock machinery will clarify the contribution of clock genes to the maintenance of mental health. (Author correspondence: alessandro.serretti@unibo.it)

The search for circadian clock components in humans: new perspectives for association studies

Individual circadian clocks entrain differently to environmental cycles (zeitgebers, e.g., light and darkness), earlier or later within the day, leading to different chronotypes. In human populations, the distribution of chronotypes forms a bell-shaped curve, with the extreme early and late types _ larks and owls, respectively _ at its ends. Human chronotype, which can be assessed by the timing of an individual's sleep-wake cycle, is partly influenced by genetic factors - known from animal experimentation. Here, we review population genetic studies which have used a questionnaire probing individual daily timing preference for associations with polymorphisms in clock genes. We discuss their inherent limitations and suggest an alternative approach combining a short questionnaire (Munich ChronoType Questionnaire, MCTQ), which assesses chronotype in a quantitative manner, with a genome-wide analysis (GWA). The advantages of these methods in comparison to assessing time-of-day preferences and single nucleotide polymorphism genotyping are discussed. In the future, global studies of chronotype using the MCTQ and GWA may also contribute to understanding the influence of seasons, latitude (e.g., different photoperiods), and climate on allele frequencies and chronotype distribution in different populations.

Chronotype distribution in bipolar I disorder and schizophrenia in a Korean sample

Although a broad range of circadian rhythm variations have been reported, analyses of chronotypes in bipolar I disorder (BDI) and schizophrenia are rare. The present study aimed to investigate specific chronotype patterns in BDI and schizophrenia compared with healthy subjects. All patients were clinically stable and recruited from the outpatient clinics of Seoul National University Hospital. They were diagnosed according to DSM-IV criteria. 'Morningness/eveningness', a chronotype correlated with circadian phase, was evaluated using the Composite Scale of Morningness (CSM) among 92 patients with BDI, 113 patients with schizophrenia (SZ), and 95 control individuals. The CSM scores were significantly correlated with age in the control group, but a significant correlation with age was not observed in the schizophrenia or BDI groups. After controlling for age, there were significant differences between the BDI and control groups. The SZ patients did not differ from the BDI or control groups. In this Korean sample, patients with BDI showed a significantly greater preference for 'eveningness' (including delayed sleep timing) than control individuals. The influences of pharmacotherapy or clinical status on CSM scores need to be clarified.

Influence of Nocturnal Asthma on Chronotype

Individual differences in circadian rhythm have been studied since the past century. Chronotypes are a chronobiology classification based on the preferential times for beginning and ending activities throughout the day. Chronotypes can be classified as definitely morning, moderately morning, indifferent, moderately evening, and definitely evening. We aim to assess the distribution of chronotypes in asthmatics and the relationship of chronotype to the presence of nocturnal symptoms. Two hundred subjects were evaluated, 100 asthmatics and 100 non-asthmatics. The Morningness/Eveningness questionnaire was applied for chronotype determination. The asthmatics were subdivided according to the presence or absence of nocturnal symptoms. The chronotype distribution did not differ significantly between asthmatics and non-asthmatics. Thirty-five percent of the asthma group reported nocturnal symptoms. There was a significant difference in chronotype distribution between asthmatics with and without nocturnal worsening. The asthmatics with nocturnal symptoms had a lower prevalence of morning types and had a greater predominance of indifferent chronotype compared to asthmatics without nocturnal symptoms (p = 0.011). In conclusion, asthmatics with nocturnal symptoms present deviation from the chronotype distribution curve when compared to asthmatics without nocturnal symptoms. This is the first study to show the effect of a disease on chronotypes.

Influence of Chronotype, Season, and Sex of Subject on Sleep Behavior of Young Adults

The aim of this study was to investigate whether sex, season, and/or chronotype influence the sleep behavior of university students. Detailed data were collected on activity/rest patterns by wrist actigraphy combined with diaries. Thirty‐four medical students (19 female and 15 male) were monitored by Actiwatch® actometers for 15 consecutive days in May and again in November. The data of a modified Horne and Östberg chronotype questionnaire, which were collected from 1573 female and 1124 male medical school students surveyed in the spring and autumn over an eight‐year period, were evaluated. Actiwatch® sleep analysis software was used to process the activity data with statistical analyses performed with ANOVA. We found no significant sex‐specific differences in sleep efficiency, sleep onset latency, or actual sleep‐time duration. However, we did find a difference in sleep efficiency between morning and evening types, with morning types having a higher sleep efficiency (87.9%, SD=1.3) than evening types (84.3%, SD=0.87%; p=0.007). Seasonal differences were also detected: the actual sleep‐time duration in autumn was significantly longer (mean 6.9 h, SD=0.13 h) than in spring (6.6 h, SD=0.1 h; p=0.013). Evaluation of the chronotype questionnaire data showed that individuals with no special preference for morningness or eveningness (i.e., so‐called intermediates) were most common. The distribution of chronotypes was related to the sex of subject. Men displayed eveningness significantly more often than women (28.9% males vs. 20.8% females; p<0.001), while females exhibited greater morningness (20.3% females vs.15.6% males; p<0.001). Sex influences chronotype distribution, but not actual sleep time‐duration, sleep onset latency, or sleep efficiency. The latter, however, differed among chronotypes, while actual sleep‐time duration was affected by season.

Social Jetlag: Misalignment of Biological and Social Time

Humans show large differences in the preferred timing of their sleep and activity. This so‐called “chronotype” is largely regulated by the circadian clock. Both genetic variations in clock genes and environmental influences contribute to the distribution of chronotypes in a given population, ranging from extreme early types to extreme late types with the majority falling between these extremes. Social (e.g., school and work) schedules interfere considerably with individual sleep preferences in the majority of the population. Late chronotypes show the largest differences in sleep timing between work and free days leading to a considerable sleep debt on work days, for which they compensate on free days. The discrepancy between work and free days, between social and biological time, can be described as ‘social jetlag.’ Here, we explore how sleep quality and psychological wellbeing are associated with individual chronotype and/or social jetlag. A total of 501 volunteers filled out the Munich ChronoType Questionnaire (MCTQ) as well as additional questionnaires on: (i) sleep quality (SF‐A), (ii) current psychological wellbeing (Basler Befindlichkeitsbogen), (iii) retrospective psychological wellbeing over the past week (POMS), and (iv) consumption of stimulants (e.g., caffeine, nicotine, and alcohol). Associations of chronotype, wellbeing, and stimulant consumption are strongest in teenagers and young adults up to age 25 yrs. The most striking correlation exists between chronotype and smoking, which is significantly higher in late chronotypes of all ages (except for those in retirement). We show these correlations are most probably a consequence of social jetlag, i.e., the discrepancies between social and biological timing rather than a simple association to different chronotypes. Our results strongly suggest that work (and school) schedules should be adapted to chronotype whenever possible.