Collective Dynamics of Neural Networks With Sleep-Related Biological Drives in Drosophila.

The collective electrophysiological dynamics of the brain as a result of sleep-related biological drives in Drosophila are investigated in this paper. Based on the Huber-Braun thermoreceptor model, the conductance-based neurons model is extended to a coupled neural network to analyze the local field potential (LFP). The LFP is calculated by using two different metrics: the mean value and the distance-dependent LFP. The distribution of neurons around the electrodes is assumed to have a circular or grid distribution on a two-dimensional plane. Regardless of which method is used, qualitatively similar results are obtained that are roughly consistent with the experimental data. During wake, the LFP has an irregular or a regular spike. However, the LFP becomes regular bursting during sleep. To further analyze the results, wavelet analysis and raster plots are used to examine how the LFP frequencies changed. The synchronization of neurons under different network structures is also studied. The results demonstrate that there are obvious oscillations at approximately 8 Hz during sleep that are absent during wake. Different time series of the LFP can be obtained under different network structures and the density of the network will also affect the magnitude of the potential. As the number of coupled neurons increases, the neural network becomes easier to synchronize, but the sleep and wake time described by the LFP spectrogram do not change. Moreover, the parameters that affect the durations of sleep and wake are analyzed.

Investigating genetic correlations and causal effects between caffeine consumption and sleep behaviours.

Observationally, higher caffeine consumption is associated with poorer sleep and insomnia. We investigated whether these associations are a result of shared genetic risk factors and/or (possibly bidirectional) causal effects. Summary-level data were available from genome-wide association studies on caffeine intake (n = 91 462), plasma caffeine and caffeine metabolic rate (n = 9876), sleep duration and chronotype (being a "morning" versus an "evening" person) (n = 128 266), and insomnia complaints (n = 113 006). First, genetic correlations were calculated, reflecting the extent to which genetic variants influencing caffeine consumption and those influencing sleep overlap. Next, causal effects were estimated with bidirectional, two-sample Mendelian randomization. This approach utilizes the genetic variants most robustly associated with an exposure variable as an "instrument" to test causal effects. Estimates from individual variants were combined using inverse-variance weighted meta-analysis, weighted median regression and MR-Egger regression. We found no clear evidence for a genetic correlation between caffeine intake and sleep duration (rg = 0.000, p = .998), chronotype (rg = 0.086, p = .192) or insomnia complaints (rg = -0.034, p = .700). For plasma caffeine and caffeine metabolic rate, genetic correlations could not be calculated because of the small sample size. Mendelian randomization did not support causal effects of caffeine intake on sleep, or vice versa. There was weak evidence that higher plasma caffeine levels causally decrease the odds of being a morning person. Although caffeine may acutely affect sleep when taken shortly before bedtime, our findings suggest that a sustained pattern of high caffeine consumption is more likely to be associated with poorer sleep through shared environmental factors. Future research should identify such environments, which could aid the development of interventions to improve sleep.

Sleep Pattern and Sleep Hygiene Practices among Nigerian Schooling Adolescents.

BACKGROUND: Sleep problems, especially in the adolescent stage of development, may be associated with excessive daytime sleepiness, impaired neurocognitive function, and a host of others leading to suboptimal performance. OBJECTIVES: To determine the pattern of sleep problems in school-going adolescents based on the bedtime problems; excessive daytime sleepiness; awakenings during the night and problems falling back asleep; regularity and duration of sleep; sleep-disordered breathing (BEARS) sleep screening algorithm. MATERIALS AND METHODS: This is a cross-sectional descriptive study involving 353 secondary school-going adolescents in Kano metropolis. Subjects were selected for the study using multistage sampling technique. The study lasted from March 2015 to July 2015. Sleep problems were screened for using the BEARS sleep screening algorithm. Tables were used to present the qualitative data. The various BEARS sleep patterns were assessed, and comparison between stages of adolescence was done using Chi-square test (and Fisher's exact test where necessary). A significant association was considered at P < 0.05. RESULTS: Of the 353 adolescents studied, 61.8% were males while 38.2% were females with male, female ratio of 1.6:1. Early, middle, and late adolescents constituted 13.9%, 39.9%, 46.2% respectively. BEARS sleep screening revealed awakenings during the night (34.6%) as the most common sleep-related problem reported, and this was followed by excessive daytime sleepiness (21.0%). Age-group dependent sleep duration was 7.19 ± 1.26, 7.13 ± 1.13, 7.16 ± 1.28, with P > 0.05. Although 62.9% of all the adolescents watched TV/play video games until 1 h before going to bed and this was highest in late adolescence, it was not statistically significantly associated with any of the sleep problems. CONCLUSION: Both the quality and quantity of sleep in Nigerian adolescents in Kano is suboptimal. Adolescent and sleep medicine should receive more attention in our environment.

The relationship between hours of sleep, screen time and frequency of food and drink consumption in Spain in the 2011 and 2013 ALADINO: a cross-sectional study.

BACKGROUND: The frequency of intake of food and beverages depends on a number of ill-defined behaviour patterns. The objectives of this study were to evaluate the effects of screen time and sleep duration on food consumption frequency, and to describe frequencies and types of food consumption according to BMI category and parents' level of education. METHODS: We studied 6287 and 2806 children drawn from the 2011 and 2013 cross-sectional ALADINO studies respectively. Data were collected on number of hours of sleep, screen time, and weekly frequency of consumption of 17 food groups. Weight status was measured, and information was also collected on parents' educational level. Average food consumption frequencies were calculated by reference to hours of sleep and hours of screen time, and were defined as ≥4 times or <4 times per week (once per week for soft drinks and diet soft drinks). Differences in frequency were evaluated for screen times of more and less than 2 h per day, and for sleep durations longer or shorter than the daily average. We fitted logistic regression models to evaluate the independent association between screen exposure and hours of sleep on the one hand, and food consumption frequency on the other. RESULTS: Consumption of fruit and vegetables was lower among children who had parents with no formal or only primary school education. High levels of screen time were associated with a greater frequency of consumption of energy-dense, micronutrient-poor products and a lower frequency of consumption of fruit and vegetables. Sleeping a sufficient number of hours was associated with a higher consumption of fruit and vegetables. The results for 2011 were concordant with those for 2013. CONCLUSIONS: If efforts to ensure healthier eating habits among children are to be at all successful, they should focus on promoting a sufficient amount of sleep for children, limiting the time they spend watching television and/or playing with computers or video games, and educating parents accordingly.

Study of the association between 3111T/C polymorphism of the CLOCK gene and the presence of overweight in schoolchildren, / Estudo da associação entre o polimorfismo 3111T/C do gene CLOCK e a presença de excesso de peso em escolares,

Objectives: To evaluate the association between 3111T/C polymorphism of the CLOCK gene and the presence of obesity and sleep duration in children aged 6-13 years. In adults, this genetic variant has been associated with duration of sleep, ghrelin levels, weight, and eating habits. Although short sleep duration has been linked to obesity in children, no study has aimed to identify the possible molecular mechanisms of this association to date. Methods: Weight, height, and circumferences were transformed into Z-scores for age and gender. Genotyping was performed using TaqMan methodology. A questionnaire regarding hours of sleep was provided to parents. The appropriate statistical tests were performed. Results: This study evaluated 370 children (45% males, 55% females, mean age 8.5 ± 1.5 years). The prevalence of overweight was 18%. The duration of sleep was, on average, 9.7 hours, and was inversely related to age (p < 0.001). Genotype distribution was: 4% CC, 31% CT, and 65% TT. There was a trend toward higher prevalence of overweight in children who slept less than nine hours (23%) when compared to those who slept more than ten hours (16%, p = 0.06). Genotype was not significantly correlated to any of the assessed outcomes. Conclusions: The CLOCK 3111T/C polymorphism was not significantly associated with overweight or sleep duration in children in this city. .

Objetivos: Avaliar a relação entre o polimorfismo 3111 T/C do gene CLOCK (rs1801260) e a presença de obesidade, bem como a duração do sono, em crianças de 6 a 13 anos. Em adultos, essa variante genética foi associada à duração do sono, níveis de grelina, peso e padrão alimentar. Embora, em crianças, a curta duração do sono tenha sido relacionada à obesidade, até o momento nenhum estudo foi direcionado no sentido de identificar possíveis mecanismos moleculares dessa associação. Métodos: Peso, altura e circunferências foram transformados em escores-Z para idade e sexo. A genotipagem foi realizada pela metodologia Taqman. Um questionário sobre horas de sono foi entregue aos pais. Testes estatísticos apropriados foram realizados. Resultados: Foram avaliadas 370 crianças (45% meninos, 55% meninas, idade média 8,5±1,5 anos). A prevalência de excesso de peso foi de 18%. A duração do sono foi, em média, 9,7 horas, sendo inversamente relacionada à idade (p < 0,001). A distribuição genotípica foi: 4% CC, 31% TC e 65% TT. Houve uma tendência de maior prevalência de excesso de peso em crianças que dormiam menos de 9 h (23%), quando comparadas às que dormiam mais de 10 h (16%, p = 0,06). O genótipo não se correlacionou significativamente a nenhum dos desfechos avaliados. Conclusões: O polimorfismo CLOCK 3111 T/C não está significativamente associado ao excesso de peso ou à duração do sono em crianças desta localidade. .

Study of the association between 3111T/C polymorphism of the CLOCK gene and the presence of overweight in schoolchildren.

OBJECTIVES: To evaluate the association between 3111T/C polymorphism of the CLOCK gene and the presence of obesity and sleep duration in children aged 6-13 years. In adults, this genetic variant has been associated with duration of sleep, ghrelin levels, weight, and eating habits. Although short sleep duration has been linked to obesity in children, no study has aimed to identify the possible molecular mechanisms of this association to date. METHODS: Weight, height, and circumferences were transformed into Z-scores for age and gender. Genotyping was performed using TaqMan methodology. A questionnaire regarding hours of sleep was provided to parents. The appropriate statistical tests were performed. RESULTS: This study evaluated 370 children (45% males, 55% females, mean age 8.5 ± 1.5 years). The prevalence of overweight was 18%. The duration of sleep was, on average, 9.7hours, and was inversely related to age (p<0.001). Genotype distribution was: 4% CC, 31% CT, and 65% TT. There was a trend toward higher prevalence of overweight in children who slept less than nine hours (23%) when compared to those who slept more than ten hours (16%, p=0.06). Genotype was not significantly correlated to any of the assessed outcomes. CONCLUSIONS: The CLOCK 3111T/C polymorphism was not significantly associated with overweight or sleep duration in children in this city.