Science topic

Sleep - Science topic

Sleep is a readily reversible suspension of sensorimotor interaction with the environment, usually associated with recumbency and immobility.
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Normal people suffer from insomnia due to anxiety and take melatonin (MT) to aid sleep. What are the harms to the body due to long-term use?
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You misunderstood M.R. Rosatti, he did no wrote, as you referenced: "You said that taking a large amount of melatonin can cause diabetes". He wrote: "...can have complications for Type II diabetes". That makes a big difference.
Generelly from the internet: "Less common melatonin side effects might include short-lasting feelings of depression, mild tremor, mild anxiety, abdominal cramps, irritability, reduced alertness, confusion or disorientation. Because melatonin can cause daytime drowsiness, don't drive or use machinery within five hours of taking the supplement."
Specific issues on your question:
research papers:
I advise you to search in pubmed for specific issues. I hope, this help you further. Best regards, János
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Hello All, I'm seeking the latest and more empirical resources to inform the development of sleep clinic for division 1 athletes to enhance sleep and potential for performance/emotional-wellbeing. These college student athletes are faced with many nuances of sleep patterns such as long travel for competition. Case studies or exemplary examples of how other Universities, Centers, etc. have gone about this. Thank you!
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Dear Colter,
modest sleep disorders are indication for several herbal medicines, but clinical evidence for oral use is weak and effects seem to be quite small.
In the 90ies we performed controlled studies with herbal bath additives and had shown significant improvement of sleep quality by e.g. citronella oil 4 and g per 100 L Bath for 30 min. Etheric oils are easily absorbed transdermally.
Unfortunately our studies had never been confirmed by other researchers.... and the research topic "Phytobalneology" not been received by Phytotherapy nor Balneology research scenes.
I would be happy to give more informations
Bernhard
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Many motivators drive behavior from temperature and sleep regulation to water and food sustenance to the avoidance of predators (Mogenson 1977), but there are few drives as powerful as sex, which evolutionist would say is central to maintaining the future of a species (Darwin 1809-1882; Dawkins 1976). That sex is a major driver even for humans is substantiated by the following cases: Jeffrey Epstein, Larry Nasser, Ghislaine Maxwell, Harvey Weinstein, Prince Andrew, Bill Clinton, Donald Trump, and I am sure you have your own list of notoriety. If you have ever read the Old Testament, the rape of a defeated army and people is used as a form of retribution, followed by the killing of all males (Trump 2024).
In 2003, Nielson et al. conducted a study on the quality of dreams experienced by 1,181 university students from the universities of McGill, Trent, and Alberta in Canada (Neilson et al. 2003). The average age of the students was twenty. The most common theme was being chased or pursued with no injury (82%) and the next most common theme was sexual experience (77%). The former (i.e., being chased) was evident amongst women (83% for females vs. 78% for males) and the latter (i.e., sexual experience) was common amongst men (85% for males vs. 73% for females). Other themes reported in 50% of the subjectsincluded falling, studying, arriving late, remembering a dead person, trying-and-trying-again, soaring through the air, failing an exam, and physical attack. Perhaps not surprising, the themes cover many of the four-F’s of evolutionary biology: fleeing, fornicating, and fighting, but (less so) of feeding (Dawkins 1976). Memories are consolidated during both slow-wave sleep and rapid eye movement sleep or dream sleep (Boyce et al. 2016; Girardeau et al. 2009; Louie and Wilson 2001; Wilson and McNaughton 1994). That the sleep state is dominated by fleeing, fornicating, and fighting (but less so by feeding, see Footnote 1) should not be surprising, given that humans like all animals must ultimately deal with the drive to survive: humans are expected to attain a population of 10 billion by the end of this century, well out competing most other animals whose numbers are in decline [UN Report, 2019, Nature’s Dangerous Decline, May 6]. Thus, as proposed by Sigmund Freud (1899) the purpose of dreaming (a putative pathway to the id) is to remind the organism of its basic motor drives [also see Jouvet 1962, Peever et al. 2014, Porte and Hobson 1996].
Footnote 1: The absence of dreams of food by the students is perhaps because Western students are typically well-fed. My oldest adopted boy who experienced extreme hunger while growing up still has dreams of food and its absence.
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Thank you very much for your piece. I will share it with colleagues.
Ed Tehovnik.
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I completed my PhD last year and am currently not affiliated with or employed by a university. I continue to utilize my previous affiliation for manuscripts resulting from the projects I undertook during my PhD. However, I am involved in other collaborative projects. I am curious about the possibility of obtaining an honorary status from a university or research institute for the purpose of publication, allowing me to use their affiliation until I secure a post-doc or research position in a university or institution. Is this feasible?
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Yes, you can secure honorary affiliation for post-PhD publications by contacting academic institutions or research organizations and demonstrating your research contributions and potential. Networking with faculty, attending conferences, and collaborating on research projects can also help establish such affiliations.
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Alike a death, as the separation of the sole from body, such separation of the mind is the dreaming state, but separation of reason . the deep sleep.
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I want to study without feeling sleepy or tired or bored. How do I study for 3 hours without feeling sleepy while I am studying?
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Hi Paul, make sure you are getting all the rest that you need for your body mind spirit and soul. Then, you can start to study something that you are truly interested in.
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The question of whether machines will become more intelligent than humans is a common one, with the definition of intelligence being key to the comparison. Computers have several advantages over humans, such as better memories, faster data gathering, continuous work without sleep, no mathematical errors, and better multitasking and planning capabilities. However, most AI systems are specialized for very specific applications, while humans can use imagination and intuition when approaching new tasks in new situations. Intelligence can also be defined in other ways, such as the possession of a group of traits, including the ability to reason, represent knowledge, plan, learn, and communicate. Many AI systems possess some of these traits, but no system has yet acquired them all.
Scholars have designed tests to determine if an AI system has human-level intelligence, such as the Turing Test. The term "singularity" is sometimes used to describe a situation in which an AI system develops agency and grows beyond human ability to control it. So far, experts continue to debate when—and whether—this is likely to occur. Some AI systems can pass this test successfully but only over short periods of time. As AI systems grow more sophisticated, they may become better at translating capabilities to different situations the way humans can, resulting in the creation of "artificial general intelligence" or "true artificial intelligence."
The history of artificial intelligence dates back to several milestones that highlight the advancement of artificial intelligence relative to human intelligence. These include the first autonomous robots developed by William G. Walter (1948-49) and the development of the Turing Test by Alan Turing (1950), which unearthed the thinking capabilities of machines. In 1951, Marvin Minsky and Dean Edmonds developed the first artificial neural network which gave birth to artificial intelligence. Artificial neural networks were first applied in Machine Learning by Arthur Samuel in 1959 and the first natural language processing program, ELIZA was developed. Artificial intelligence has since been applied in robotics, gaming, and classification.
The first AI robot, Shakey, developed in 1966, became the first intelligent robot to perceive its environment, plan routes, recover from errors, and communicate in simple English. A further advancement of AI was achieved in 1969 when an optimized backpropagation algorithm was developed by Arthur Bryson and Yu-Chi Ho, which enabled AI systems to improve on their own using their past errors. The introduction of the internet in 1991 enabled online data sharing which had a significant impact on the advancement of AI. Large companies such as IBM and Caltech subsequently developed AI controlled databases that includes millions of labeled images available for computer vision research. The publication of the AlexNet architecture is considered one of the most influential papers in computer vision.
In 2016, AI system AlphaGo, created by Google subsidiary DeepMind, defeated Go champion Lee Se-dol four matches to one. In 2018, Joy Buolamwini and Timnit Gebru published the influential report, “Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification,” demonstrating that machine-learning algorithms were prone to discrimination based on classifications such as gender and race. In 2018, Waymo’s self-driving taxi service was offered in Phoenix, Arizona. In 2020, Artificial intelligence research laboratory OpenAI announced the development of Generative Pre-Trained Transformer 3 (GPT-3), a language model capable of producing text with human-like fluency.
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Hello everyone,
While AI has the potential to match human intelligence in various ways, the true extent of its capabilities will largely depend on advancements in quantum computing. Human intelligence encompasses not only factual knowledge but also creativity, emotional understanding, and intuition—qualities that current AI models can mimic but not fully replicate. While computers excel at memory and data processing, humans uniquely apply imagination and intuition to novel situations. The concept of ‘artificial general intelligence’ aims to create machines that surpass human abilities, but achieving this remains an ongoing challenge.
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How does rest promotes,modulates or inhibits the longevity of humans?
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Alexander Ohnemus
António José Rodrigues Rebelo
Birth marks the beginning and equally marks the day, date, and second of death, the end for all living beings who breathe oxygen, consume water, or ingest the carbon and the nitrogen that grace the food on Earth, even if it be the gum at the back of a postage stamp that allows the cockroach to live upon for years and even longer.
The two phases are unalterable and absolute but a completely transparent certitude that defies challenge as well as the highest level of comprehension, and a level of acceptance that is achieved only by rarely-of-the-rare, and, is far beyond our narcissistic and simplistic ego-massaging or understanding to ascribe even the slightest or infinitesimal meaning to our existence. Beyond NATURE that we partially or minimalistically perceive by our senses or lack of senses, lie oceans of incomprehension. A simple fusion of microscopic sperm and ovum marks birth while dissipation of all body processes underscore death. The humility of understanding (standing under and inner) NATURE can yield a nano-drop or quintillionth of the Cosmos with endless galaxies dwarfing the ignorance of our existence.
-- when breath turns air, death is the end, yours and mine and all those who live. Our existence as such is the product of a long evolution over millions of years. Everything has to be considered in order to understand ourselves as we are today. But, first of all, what we can remember, or research, about the causes and the course that man has taken in his life, of long distance, can never make us forget that man, or the being that gave rise to him, the first reaction that he produced, gave rise to another reaction, or sensation. which is not one of trust, but of fear. It is this feeling that is at the origin of a whole process that, from a cultural and even philosophical point of view, translates the emergence of a life beyond the existing one. With it came a whole set of figures, which man needed to use to calm this feeling: fear. At the moment, we have a broader set of knowledge, technological means and processes, which we can use, at any time, and thus guarantee our confidence, security, so that we are not afraid, but we are afraid. We continue to feel fear and, for this reason, we cannot completely disconnect from a symbolic pretext, with evaluative content, that we create to calm ourselves, or self-regulate our emotional tension; And we didn't even realize it. Heaven and hell are figures created by an ideology, the dominant one, that has entertained us. However, we cannot disregard all this reality, because although philosophical, it has produced an action of guaranteeing comfort in man and with man. Am I wrong? Am I frivolous, because I question a whole magical reality that man has created? I do not think so. I am not an atheist, because I continue to believe in something that does not exist, but that gives me comfort as it exists. I would have been burned alive if the words I now produce had been produced in the time of the Inquisition. I wasn't burned, but a lot of good people were burned, because they defended ideas identical to those I hold today. In my country, every day, or almost every day, I move in squares where people have been burned alive by the work of the Tribunal of the Holy Office. This fact arose in Spain and was also transferred to Portugal. We condemn the atrocities of Hitler, Putin and others, who are directly responsible for the deaths of thousands, millions of people, but we forget that we have whitewashed, and are whitewashing, the attitude of a religious institution, which was responsible for the deaths of thousands of people. This forgetfulness exists, and will continue to exist, because we are afraid of fear.
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Hi everyone,
I am studying the effects of odor presentation during sleep and wakefulness on psychotherapy outcomes. My experimental design includes: * A between-subject factor: Group (sleep or wake) * Two within-subject factors: Odor (congruent or incongruent) and Time of measurement (pre, post 1, post 2). For all my psychotherapy measures, I conducted a 2x2x3 ANOVA (Group x Odor x Time). However, I found that for some variables, there are significant/marginally significant differences between the wake and sleep groups at baseline (please see the attached figure for an example). To address these baseline differences and run an ANCOVA, I need to identify an appropriate covariate that works for my between-subject factor(sleep-wake). Here are my questions: What can I use as a covariate in this context? Is it correct to think that I need to perform ANOVAs separately for each sleep and wake group, and that I cannot include a covariate in my 2x2x3 ANOVA? I hope I was clear enough. I will be looking forward to your response and I thank you so much in advance!
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I think a mixed-design analysis of variance (ANOVA) is more appropriate in this case.
A mixed-design ANOVA allows you to assess the main effects of each factor (Group, Odor, Time of measurement) as well as any interactions between factors.
Specifically, you can examine:
The main effect of Group to assess overall differences between the sleep and wake groups.
The main effect of Odor to assess the effect of odor presentation.
The main effect of Time of measurement to assess changes over time.
Interactions between factors (e.g., Group × Odor, Group × Time, Odor × Time) to explore whether the effects of one factor depend on the levels of another factor.
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Humorous English Syntax.
There are two kinds of ambiguity—lexical ambiguity and syntactic ambiguity. All of the following sentences are syntactically ambiguous:
Smoking grass can be nauseating.
Dick finally decided on the boat.
The professor’s appointment was shocking.
The design has big squares and circles.
That sheepdog is too hairy to eat.
Could this be the invisible man’s hair tonic?
The governor is a dirty street fighter.
I cannot recommend him too highly.
Terry loves his wife and so do I.
They said she would go yesterday.
No smoking section available.
All of the following sentences are syntactically anomalous:
*I never saw a horse smoke a dozen oranges. (Martin Joos’s example)
*Enormous crickets in pink socks danced at the prom.
*A verb crumpled the milk.
*Colorless green ideas sleep furiously. (Noam Chomsky’s example).
But these are not nonsense sentences. Each sentence has a different meaning. “I never saw a horse smoke a dozen oranges” is not only meaningful, it is true. Furthermore such “nonsense” sentences can occur in a regular conversation. In fact, Chomsky’s “Colorless green ideas sleep furiously” is a sentence which occurs very often in various linguistics classes. Furthermore, Chomsky’s sentence is very poetic (as opposed to being prosaic). It brings up numerous to the human and could be illustrated by a cartoonist in many different ways.
Like “Colorless green ideas sleep furiously,” “‘Twas brillig, and the slithy toves / Did Gire and gimble in the wabe” is also syntactically well formed but semantically anomalous.
In the “Colorless green…” example the words are incompatible; however in the “’Twas brillig” example the content words don’t even exist.
The function words “it,” “was” “and” “did,” and “in” exist, but the content words “brillig,” “slithy” “toves,” “gyre,” “gimble” and “wabe” are not English words, and therefore the issue of their compatibility with other words is a mute point.
Don and Alleen Nilsen “Humor Across the Academic Disciplines” PowerPoints:
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Joseph: Excellent references. I've recommended your comment to other humor scholars.
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I am wondering which term is more appropriate for use in titles when discussing a group within a larger category: 'among' or 'in'?
For example:
'Prevalence of sleep disorders among children with autism'
'Prevalence of sleep disorders in children with autism'
Could you explain the difference between using 'among' and 'in' in such contexts and advise which option is more suitable for title usage?
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Both "among" and "in" can be appropriate in titles when discussing a group within a larger category, but the choice depends on the specific context and emphasis of the title. Here's a brief overview of the optimal usage for each term:
Among:
Use "among" when you want to emphasize the idea of being part of a larger group or set, but not necessarily confined to it. This term suggests that the group you're referring to is integrated or exists within a broader context.
Example title: "Patterns of Communication Among Adolescents in Urban Schools"
In:
Use "in" when you want to emphasize the idea of being contained or located within a specific category or context. This term suggests a more specific or bounded relationship between the group and the larger category.
Example title: "Factors Affecting Academic Achievement in Students with Disabilities"
In summary, consider the nuances of meaning and emphasis you want to convey in your title when choosing between "among" and "in." If you want to highlight the group's integration within a larger context, use "among." If you want to emphasize their specific location or relationship within a category, use "in."
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Hi all,
I did a multiple regression analysis with four IVs (autistic traits, ADHD traits, anxiety symptoms and depressive symptoms) and DV (sleep problem) and the overall regression was statistically significant, explaining 22% of the variance. However, only two of the IVs (anxiety and depressive symptoms) contributed significantly to the model (where I would have expected all four predictors to predict the DV according to the literature- more info below).
Some background info:
- Those diagnosed with autism and ADHD often show more sleep problems
- Those diagnosed with autism and ADHD experience more anxiety and depressive symptoms
- Having more anxiety and depressive symptoms cause more sleep problems
I somehow wanted to explain the reason of the non-significant results of the two IVs, so I conducted an additional Spearman’s correlation analysis. Results showed that all four IVs were significantly correlated with the DV, autistic and ADHD traits also significantly correlated with anxiety and depressive symptoms) (see image attached).
My questions are:
1. Can I interpret my non-significant results (autistic and ADHD traits) in regression using the results I obtained from the correlation analysis? If so, how?
[In other words, is it possible to use the results from correlation to explain/ interpret results from a regression analysis?]
2. Having said that, is it valid to say that having high levels of autistic and ADHD traits lead to more anxiety and depressive symptoms that then lead to sleep problems? Could I use the correlation results to explain that this could be a possible underlying mechanism?
I hope that’s not too complicated to understand and I would appreciate whatever help there is. Thanks in advance!
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1. Yes, you can use the results from the correlation analysis to provide context and interpretation for the non-significant results in your regression analysis. Since the correlation analysis indicates significant relationships between all four independent variables (IVs) and the dependent variable (DV), it suggests that there are associations between these variables, even if they did not all contribute significantly in the regression model. You could discuss how these correlations highlight the interrelationships among the variables and provide insights into potential underlying mechanisms affecting sleep problems.
2. It is valid to hypothesize that high levels of autistic and ADHD traits may indirectly lead to more anxiety and depressive symptoms, which in turn contribute to sleep problems. The significant correlations between autistic and ADHD traits with anxiety and depressive symptoms support this hypothesis. You could use these correlation results to propose a potential pathway or mechanism by which these traits influence sleep problems through the mediation of anxiety and depressive symptoms. However, it's important to note that correlation does not imply causation, so further research would be needed to establish causality and validate this interpretation.
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Colleagues #question, or rather three questions that have been tormenting me for many months and even preventing me from sleeping. Maybe you can answer them:
#1. Do creative people (artists, writers, sculptors, etc.) have entrepreneurial competencies?
#2. Do they need them or not in their professional career?
#3. Do they use them or not? The answers are simple: 1-yes or no, 2-yes or no, 3-yes or no. Can you please answer, it’s very, very important.
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Yes at the same time. Dealings in art is the most likely way for artists to make sufficient money. So if they don’t have a management company, then they suffer organizing all their projects and also fall prey to bad dealings simply because there’s so much on their plate. Creative people need space to think and process their own information and their carefree expression. That’s why you need the manager so they focus on all the business and then you as the artist just focus on the making art.
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maybe can you help me. Thank you very much.
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Not familiar with this questionnaire. But found this. Uncertain if it is the “full” thing but maybe it helps. https://emj.bmj.com/content/emermed/37/1/42/DC1/embed/inline-supplementary-material-1.pdf?download=true
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I am a student carrying out research on poor sleep quality and its associated factors among university students. I intend to carry out the research online. I want to find out if i can use the scale questionnaire online in qualitrics.
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I suggest you contact mapi-trust and ask for permission to use it. Where you then base the questionnaire is a separate issue. Good luck.
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As far as I know, these ideas have been used mainly in theological discussions. However, it seems to me that such ideas would also have application in more general discussions of Cartesian dualism and the mind–body problem, e.g. they could be used to describe what happens to the Cartesian soul or mind when one is sleeping dreamlessly or when one is unconscious.
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Colleague @Naeim Sepehri's comment is sensational and decidedly gratifying, I totally agree with him
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Dear Colleagues,
I am looking for the best references regarding the sexual difference in sleep as a phenotype as well as in the circadian and homeostatic regulation of sleep.
Thank you
Karim
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thank you so much Mr Dimithrove.
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I am looking to use the SynWin test in an upcoming study. I have found many articles using and describing the test however cannot seem to find any way in which I can actually obtain the test.
Does anyone know how I could access SynWin or a similar multitask test?
Many thanks.
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Thank you so much, Lester. Following through.
Best wishes and Gratitude.
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there are students who travel 1hour , 2 hours early in the morning to reach college . doing so does their sleep quality gets affected ?
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That's depending on night sleep time.
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Sleep disturbances is a main stay obstacle in our understanding of the major issues facing our daily activities and their interpretation with our surroundings
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Here are some widely recognized sleep quality questionnaires:
Pittsburgh Sleep Quality Index (PSQI): The PSQI is one of the most commonly used questionnaires for assessing overall sleep quality. It covers various aspects of sleep, such as sleep duration, latency, disturbances, and daytime dysfunction. It provides a comprehensive score of sleep quality.
Insomnia Severity Index (ISI): If your research focuses on insomnia specifically, the ISI is a useful tool for assessing the severity of insomnia symptoms. It covers the nature, severity, and impact of insomnia.
Sleep Disturbance Questionnaire (SDQ): The SDQ is a brief questionnaire used to assess sleep disturbances in clinical populations. It covers various aspects of sleep quality and disturbance.
Medical Outcomes Study Sleep Scale (MOS-Sleep): The MOS-Sleep questionnaire is a comprehensive instrument that assesses multiple dimensions of sleep, including sleep disturbance, sleep adequacy, and daytime somnolence.
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I've used Actiwatch, Fitbits, and Condors and found them comparably good for user experience but they all have software/analysis flaws. Has anyone been satisfied with the sleep tracker they used for their sleep research and why? What are the cons? What's the analysis software like?
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The satisfaction level with sleep trackers used in sleep research can vary among researchers and individuals based on their specific needs and expectations. While some researchers may find certain sleep trackers satisfactory for their research purposes, others may encounter limitations or challenges. Here are some general considerations regarding sleep trackers and their analysis software:
1. Device Accuracy: The accuracy of sleep trackers in measuring sleep parameters can vary. Some devices may provide reliable data for sleep duration, sleep onset, and wake times, while others may struggle with accuracy, especially in distinguishing between different sleep stages (e.g., light sleep, deep sleep, REM sleep). It's important to evaluate the validity and reliability of the sleep tracker you intend to use for your specific research purposes.
2. User Experience: User experience is a crucial factor when selecting a sleep tracker. The comfort, ease of use, and wearability of the device can affect participants' compliance with wearing it during sleep. Look for devices that are comfortable to wear and have user-friendly interfaces or apps for data collection.
3. Data Analysis Software: The analysis software accompanying sleep trackers can vary in terms of features, usability, and compatibility with different research needs. Some software provides basic sleep summary metrics, while others offer more advanced analytical capabilities such as sleep stage classification algorithms, sleep efficiency calculations, and sleep pattern visualization. It's important to assess whether the software meets your specific research requirements and allows you to extract the necessary sleep parameters for analysis.
4. Validity and Reliability: Sleep trackers should ideally undergo validation studies to assess their accuracy compared to gold standard measures such as polysomnography (PSG). It's important to review the existing literature on the validity and reliability of the specific sleep tracker you are considering, especially in relation to the sleep parameters you are interested in studying.
5. Limitations: Sleep trackers have inherent limitations. Factors such as device placement, movement artifacts, and individual variability in sleep patterns can influence the accuracy of data collected. It's essential to consider these limitations when interpreting the results and drawing conclusions from sleep tracker data.
6. Interoperability: If you plan to integrate sleep tracker data with other physiological or behavioral measures, consider the device's compatibility and ability to synchronize data with other systems or software.
It's recommended to consult with experts in the field of sleep research or data analysis to gain insights into specific sleep tracker models, their strengths, limitations, and the suitability of their analysis software for your research needs. Reading reviews and studies comparing different sleep trackers can also provide valuable information to make an informed decision.
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  • What are the minimum and maximum recommended daily nap durations for healthy children aged between 3-5 years old? What are the standard nap schedules for children in this age group?
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Thanks, all, for sharing your experience!
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My partner and I will conduct our undergraduate thesis on the efficacy of certain music genres in improving sleep quality. The results garnered from these would be used as a guide as we compose original musical pieces aimed specifically for shortened sleep latency and improved sleep quality. We have found several studies that use Western classical and pop music, but none have specified which musical piece (i.e., title and composer/performer) in particular was used; they were just mentioned as the genre as a whole.
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Thank you very much for your inputs and recommendations! بلعربي عبد القادر Abdelkader Belarbi Esther Kooistra Michael Henrik Wynn
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I'm reading a paper about memory consolidation during sleep. It says "Replay of firing patterns in hippocampal neuron ensembles during sleep is a key feature of active systems consolidation". Is the replay of this firing pattern the same as it was originally formed? How can the brain replay such pattern without samples input?
Here is the article:
Mechanisms of systems memory consolidation during sleep | Nature Neuroscience
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Hi Han,
I will try to follow up on what Blaine has explained. There are two points that need to be taken into consideration in what you're reading. The first one is the memory phase you're looking at. As Blaine well said, you're studying what is happening during the consolidation of a given memory, which means the brain is undergoing plasticity changes in order to register a given event and the stimuli associated with that event (the firing patterns you're reading are associated with that. It doesn't mean that during memory recall (a different phase of the memory process), these firing patterns will be happening again as if the firing patter itself represented what the memory means to the brain.
It leads us to the second point, which is the brain region you're looking at: the hippocampus. The hippocampus is heavily involved in the memory consolidation process, specially the spatial components of a given memory. But it is not where the memory is stored. The hippocampus is not the equivalent of a biological Hard Drive (HD). It's more like a hub that coordinate the encoding of new information throughout the whole CNS.
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I have suffered of Empty Nose Syndrome (ENS) for more than 20 years, and it has caused many other diseases. Fortunately, I am a surgeon, a sportman, an optimist and a practitioner of positive psychology. After seeking hopeless medical help, I, instead of complaining, think when the Heaven is about to grant a man great responsibility, he would first put his flesh and bone to test. I overcame all the difficulties and fought against the disease. As I work, I took advantage of scientific knowledge for self-treatment and rehabilitation. I already had a solid foundation in cycling, running and swimming. With the help of many people, I signed up for the triathlon competition.
I have taken foreign visiting students of taizhou hospital to enjoy swiming here, for fun and also cultural exchanges. In spite of language barriers and different national conditions, we all love sports, understand sports language, and pursue the goal of health, stability, peace and friendship.
How can we improve our immunity and increase our ability to resist diseases under in the pandemic era? In my opinion, first of all, we should learn positive psychology, maintain a healthy lifestyle, cultivate an optimistic and positive spirit, and live a simple life. We may take reasonable meals, enjoy fresh food, regular living and adequate sleep, and breathe the fresh air of nature. At the same time, proper outdoor sports are needed, such as biking, running and climbing. If conditions allow, we may learn to swim, especially all-season outdoor swimming, making it as important as dining and sleeping.
source:
2022-02-19
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If you can't fly then run, if you can't run then walk, if you can't walk then crawl, but whatever you do you have to keep moving forward.
Martin Luther King, Jr.
Medical science, dear Chen Huabin , is definitely an ancient scientific discipline, but there is a lot of room form improvement, e.g. in terms of psychological medicine, psychosomatics and prevention strategies. It makes great sense to connect our own experiences (pain, suffering, well-being) with the available techniques of medical healing; the disease-centered approach alone cannot help to achieve a higher level of medical intervention for maintaining our health.
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Is there any special method or test to check if rats have sleep problems( duration and quality) during experiments
Specially if anxiety increased in them deliberately
I should mention that I cant use EEG
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Hi,
Here are a few articles on sleep assessment in Rodents:
Saré RM, Lemons A, Torossian A, Beebe Smith C. Noninvasive, High-throughput Determination of Sleep Duration in Rodents. J Vis Exp. 2018 Apr 18;(134):57420. doi: 10.3791/57420
Fisher SP, Godinho SI, Pothecary CA, Hankins MW, Foster RG, Peirson SN. Rapid assessment of sleep-wake behavior in mice. J Biol Rhythms. 2012 Feb;27(1):48-58. doi: 10.1177/0748730411431550
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What is the relationship between sleep disturbance and emotional divorce?
What is the relationship between emotional divorce and violence for wives?
What is the relationship between eating disorder and violence for abused wives?
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Please help to obtain studies linking these variables
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Although a plethora of work-nonwork theoretical frameworks exists, none have incorporated the third major area of life: sleep. I call for the expansion and acknowledgement of sleep, an important source of variance in everyday attitudes, behaviours, and states, and ultimately in long-term organizational, family, and individual health and well-being.
What do you have to say? - Looking for an expert or practitioner or academic's view on this!
Please share findings from research that you have come across or are currently investigating.
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Hi
I think I have seen a few articles on WNS as well; you might want to refresh your literature review if you have none of the articles mentioning sleep.
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Good day seniors,
Even though I am new to mining of repositories, I have a task to complete within two days, and I have been sleeping behind my system to get this thing done. I want to extract some metrics that are important to the bug fixing process of Pytorch and Tensorflow. I understand that the Number of comments, Number of commits, Number of contributors, and duration of the issues to be resolved are all important to this process. But Python is throwing error that some of the listed items are not part of the issues object. Please how else can I go about it?
Thanks.
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Adekunle Ajibode It appears that you are attempting to extract information from the Pytorch and Tensorflow repositories' GitHub Issues, but are receiving difficulties because some characteristics (e.g., number of comments, number of contributions) are not available in the issues object.
One solution is to utilize the GitHub API to obtain extra information about the problems. The API allows you to obtain information about a single issue, such as comments, commits, and contributors. You may use the API to get extra information and mix it with the information from the problem object.
To perform the API call, you may use the Python module "requests." After installing it, you can use it to make a GET request to the GitHub API to obtain data about the problems. Then, using the json() function, you can parse the answer and retrieve the data you want.
You may also obtain the data via the GitHub REST APIs, and you can learn more about how to use them by reading the GitHub REST API documentation.
Another option is to utilize a Python library designed expressly for mining GitHub repositories, such as PyGithub, GitPython, and so on. These libraries provide a straightforward and easy method to access the GitHub API and can assist you in extracting the data you want without the need for programming.
To utilize the API, you must first register a GitHub account and then create a personal access token. You must also verify the API's limitations to ensure that you do not exceed the rate restriction.
I hope this information assists you in extracting the data you require. Feel free to seek assistance if you run across any specific problems.
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Urgent need for help!
An article given the mean and standard deviation of Sleep latency and Sleep duration of PSQI, how can I convert the mean and standard deviation of the scores of these two parts?
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Hi,
Scoring/interpretation: Scoring is on a 0 – 3 scale, with 3 being the negative extreme. A total sum of 5 or more indicates a “poor” sleeper.
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Removed
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Yes, it's complicated. Has low pH been identified as a risk factor for SIDS? If so, then that would provide support for one of my two hypotheses.
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I am looking for a validated German version of the Pittsburgh Sleep Quality Index Addendum for PTSD. Could anyone maybe direct me to a paper on this matter?
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D. J. Buysse, C. F. Reynolds, T. H. Monk, S. R. Berman, D. J. Kupfer: The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research. In: Psychiatry Research. Band 28, Nr. 2, Mai 1989, ISSN 0165-1781, S. 193–213, doi:10.1016/0165-1781(89)90047-4, PMID 2748771 (nih.gov [abgerufen am 5. Oktober 2022]).
Check this out and see if it helps you.
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Proposed Hypothesis:
Ventricular Fibrillation is to cardiac arrest, as
“Acute Diaphragmatic Spasm“ (ADS) is to respiratory arrest
ADS is herby proposed a terminal respiratory mechanism of sudden death in infants (SIDS), children (SUDC) and adults.
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This discussion needs to stay here as we don't want SIDS parents to learn about this at this point without scientific validation. Please respect my wishes. I will delete this discussion if need-be.
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Hi, We are starting a project investigating the relationship between death anxiety/general anxiety and how that impacts the content of dreams and if a religious or spiritual practice is a mediating factor in reducing anxiety. Does anyone have any thoughts or suggestions on validated questionnaires to use?
So far
Nightmare Severity Scale (NSS)
Pittsburgh Sleep Quality Index
GAD 7 for anxiety
Scale of Death Anxiety
SpREUK for religious practices
Interested in what everyone might have to add?
Cheers Ian
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Death is a companion of our life & he has to remain with us till our final journey. As human being we have our life with ambition , suggestive guideline related with our intuition this makes us what we are & which mode we have to frame our life.
Religion is our primary stone of our life & it is which every human being in which mode he has to frame his life in a worthy manner so that it may help him to move for his final journey in a very helpful & comfortable manner .
This is my personal opinion
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Trying to identify source for 3 questions on sleep:
Over the past [7] days, have you:
had trouble sleeping?
woken up for reasons during the night?
felt tired during the day?
Any clues? Thank you all so much!
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Thank you Lauren and Bohogaraju, much appreciated!
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Is there a questionnaire about physical exercise that I can use as an instrument for my research thesis? I'm conducting a quantitative study investigating the relationship between sleep and physical exercise and how they affect a person's wellbeing, but I'm having trouble finding a questionnaire I can use that has good validity and can be used freely.
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You can also check a systematic review of common tools to make a choice. For example: https://www.mdpi.com/1660-4601/17/19/7161/pdf
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I'm planning to analyze sleep quality using Pittsburgh Sleep Questionnaire Index (PSQI) score and assessing insomnia severity using Insomnia Severity Index (ISI).
I've seen at least three dozen publications using mean and SD to describe both. The question is: - is it actually possible to describe PSQI and ISI in a population using mean and SD?
For what I mean, lets take example from NIH Stroke Scale for stroke;
NIHSS = 4 means "mild stroke", but it's not only can be interpreted as "alert patient with partial gaze palsy with drifting left arm and left leg" but also "alert patient with limb ataxia and gaze palsy". Does this apply for PSQI and ISI?
Anyone can help?
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Correct. When you use the basic assumptions of statistics you cannot technically calculate mean and SD from ordinal variables, but in practice, composite scores from those measures are used as continuous variables.
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I have a dataset for 500 participants and their total sleep time for a period of 10 days, some of these participants do not have data for all the days, e.g. 10 of them have data only for 4 days instead of 10. Can I perform a correlation analysis on this data for sleep time and temperature, without excluding these participants? What other methods can I use for this analysis? Can I use linear regression to explain the effect of temperature on sleep?
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Hello Shambhavi Thakur. I don't think you said what software you use, but you can find "textbook" examples of longitudinal analysis for several of the main stats packages here:
HTH.
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In my experimental design there are three experimental groups and one control group measured pre- and post intervention. Each group has around 20 samples.
Groups / Interventions / Independent Variables
0) Control group
Experimental Groups:
1) Timelimit
2) Notifications disabled
3) Grayscale
Dependent variables measured:
  • Depression
  • Stress
  • Anxiety
  • Sleep quality
  • Smartphone use in minutes
  • Smartphone addiction
before and after the following treatments/interventions 0) doing nothing (control group), 1) using a timelimit, 2) disabling notifications or 3) using a grayscale.
Confounding variables measured:
  • Willingness to change
  • Neuroticism
  • Extraversion
  • Self-Control
Questions I want to answer:
A1) What is the effect of using a timelimit on depression, anxiety, stress, sleep, smartphone usage and smartphone addiction versus doing nothing?
A2) What is the effect of using a grayscale on depression, anxiety, stress, sleep, smartphone usage and smartphone addiction versus doing nothing?
A3) What is the effect of disabling notifications on depression, anxiety, stress, sleep, smartphone usage and smartphone addiction versus doing nothing?
B1a) Is there any difference between the effect of the inverventions on depression, anxiety, stress, sleep, smartphone usage and smartphone addiction?
B1b) If so, which intervention has most influence on the aforementioned dependent variables?
C1) How does willingness to change, neuroticism, extraversion and self-control mediate the effect of the intervention on the dependent variables among different groups?
(In other words: How do different people react to different interventions when looking at depression, anxiety, stress.. etc.?)
So far I have performed simple paired t-tests and investigated various variations of ANOVA and MANOVA. However, I am very much unsure which analysis I need to use to answer these questions as they feel more complex than I anticipated when starting this research.
Are the questions that I am trying to ask too complex, and are there too many variables involved?
Any suggestions for which analysis to use are highly welcome.
I attached a sample of my dataset.
Thanks in advance.
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If you want example of pre-post design and regression analysis I can attach our paper:
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Hello everyone, I'm a beginner at sleep analyzing in mice. I'm struggling with defining specific thresholds for EMG, theta ratio, and delta power for an individual mouse. If I used identical thresholds for all mice, the classified stages might not be accurate. I'm using Sleepsign to analyze EEG/EMG recording by setting the logic in the sleep staging function, as shown in the picture. Could you please share your experiences with this stuff?
I appreciate any help you can provide.
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Better to refer to literature. I am not an expert in this field. However, when classification is performed, the inputs should be on the same scale (can be different data types; categorical, continuous ). Otherwise model will bias towards some subject or signal. If these thresholds are not subject-specific, my suggestion is to normalize the EMG signal with respect to some common factor among mice (for humans, it is maximum voluntary contraction MVC).
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Today, image processing is overwhelmingly used, usually with an "intelligent" attached to it, and is taking as a panacea in so many technological scenarios. It's slow, it's data intensive, it has a myriad of problems to solve. Usually, when we solve a problem in image processing, it will come back with consequences that are more complex.
Why not using voice recognition instead? It should be much easier. Maybe one of the reason is that in many real applications, we also need to be sure that something is "at present". voice can be recorded, and replayed. After all, it's a one-dimensional time series that can be manipulated in many ways. On the hand, an image is just "skin deep" and can be disguised easily. These days I'm required to blink in front of a camera frequently, to make sure I'm not a robot. That's ridiculous, a robot that can blink can certainly be made, easily. Maybe one day we'll find out that robots can fake everything we do, except one thing -- dreaming. My notebook "sleeps" when it's idle for too long, and then just sits there and do nothing. I'm not going to be scared by robots until one day they also dream.
So, any way, why not voice recognition?
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The Disadvantages of Voice Recognition Software
  • Lack of Accuracy and Misinterpretation.
  • Time Costs and Productivity.
  • Accents and Speech Recognition.
  • Background Noise Interference.
  • Physical Side Effects.
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Galvanic Skin Response (GSR) varies from person to person. How to set a baseline for GSR considering parameters such as probe-type, probe-material, skin moisture level, blood pressure, temperature and stress-level which can affect the result?
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Hi, in our recent research , we used zero affection pictures at start and end of target pictures , then we have plan to subtract GSR values as baseline, however our paper is not published yet, we may get some comments in review. Hope this helps
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I confront this problem when I using data from Neurosky. The eight EEG powers are: delta (0.5 - 2.75Hz), theta (3.5 - 6.75Hz), low-alpha (7.5 - 9.25Hz), high-alpha (10 - 11.75Hz), low-beta (13 - 16.75Hz), high-beta (18 - 29.75Hz), low-gamma (31 - 39.75Hz), and mid-gamma (41 - 49.75Hz). I have found the meanning of some, for example, Delta reflects sleep and unconscious. However, the resource decribing the meaning of low-Alpha, high-Alpha, low-Gamma, mid-Gamma is too much little.
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Like João noted, the boundaries of these frequency bands are quite flexible and at the end of the day, they're going to be somewhat arbitrary. The power of these different frequency bands even differs from person to person which is why some researchers extract individual frequencies' peaks. The function of these different frequency bands is hotly debated as well and again, as João mentioned, these functions change depending on where they originate in the brain and even the context of the task in some cases. For example, alpha activity from the visual cortex can be thought of as inhibitory activity but when the same frequency band is recorded from the motor cortex, it's called mu and thought to represent motor preparation. As of now, there is no real consensus on the functional significance and precise boundaries of neural oscillations but that's why we continue to research them!
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Insomnia is a form of sleep disorder. Having difficulty in sleeping may increase the symptoms of mental health problems. What are the common causes, effects and probable cure for insomnia? Sharing is caring. Thanks!!!
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Sleep problems such as insomnia are a common symptom of many mental illnesses, including anxiety, depression, schizophrenia, bipolar disorder and attention deficit hyperactivity disorder (ADHD).
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Ideally, a good sleep ranges from 5 hours to 8 hours. But, as a student and an adult, I think we all have the same problem: lots of work to do. The crowded schedule sometimes made us sacrifice our sleep duration to complete our work. What happens to our bodies if we get less sleep? How do you overcome it to finish the job and get enough sleep? Please leave your opinion below. Thank you.
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You might want to read my papers:
This will give ideas.
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Cole-Kripke, Sadeh Catrine Tudor-Locke, The Munich Actimetry Sleep Detection Algorithm (MASDA) or Roenneberg algorithm, ACceleration-based Classification and Estimation of Long-term sleep–wake cycles (ACCEL) and Kyoko Nakazaki measured with the FS-750 actigraph:
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I have found myself that all are open.
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Hello everyone,
I am conducting a study evaluating the effects of product X on their sleep patterns over time. There are 3-4 time points and drop outs at each time point. These are the same participants and my client wants to take gender, age, and dosage into consideration when examining effects. I thought of conducting a repeated measures ANOVA but the drop outs would not allow me to conduct an accurate test. Is the only option to eliminate the incomplete cases? Would an MMRM work?
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I'd use a mixed model before considering imputation.
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I have collected data from 9 participants during the phases. The first phase the participants were asked to record their sleep throughout the night and fast from the evening before the lab. Blood glucose was then tested for 3 hours following a sugary drink. The second phase the participants were asked to restrict there sleep to 4-5 hours the night before and fast as well. The no participants would then have their blood glucose tested for 2 hours after consumption of sugary drink. The third phase the participants sleep was restricted and while in the lab they were asked to consume caffeinated coffee. Their blood Glucose was tested after the consumption of the sugary drink.
This study will therefore answer two important questions: (1) Does caffeinated coffee intake further impair blood sugar control after acute sleep restriction? And (2) Does caffeinated coffee supress appetite when consumed following sleep restriction? The participants were asked to fill out a 5 question Sprite questionnaire before each blood glucose test.
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It is not easy to answer your question without knowing the data set. The number of the participants seems to be also too low to for me. You should certainly have a statistician at your University, so I advise you to contact him to address your problem. This will be the best way.
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Currently we are working on a sleep project to study the efficacy of herbals in the context of sleep.
From the literature it was understood that pentobarbital / diazepam /ketamine were used to study effect of herbals on sleep in rodents.
Here are my doubts -
1. On what basis we should select hypnotic agent ?
2. Even if the herb/plant is showing efficiency in sleep latency as well as duration (after pento barbital injection), how can we attribute the same to plant, as it is showing in the presence of established hypnotic ?
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Sergiu Groppa
I need the PSQI scoring and interpretation for my study. Do you know where I can find it? Thanks a lot!
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Dear Dr. Bulcsu Szekely
This research survey is about all kinds of athletes and sports players including football players. It would be really great if you participate in this research.
Best Regards
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Please help to circulate this questionnaire, which is part of a big international study (you can find below the questionnaire in different languages):
The project has the collaboration of researchers (including sport scientists) from 6 continents.
Globally, the coronavirus (COVID-19) pandemic has transformed people’s day-to-day life. The world’s sporting calendar, recreational and professional, is almost unrecognisable. Athletes have seen access to training facilities and/or the ability to even leave their homes (i.e., to run, cycle) severely restricted, if not removed entirely. This questionnaire will investigate how the lockdown is affecting (or has affected) athletes’ lifestyle (including nutritional, psychological and sleep aspects) and how athletes are responding (have responded) to the pandemic.
Why participate in this project? Project outcomes will be used for research purposes and to inform current/future guidelines for athletes, coaches, sports scientists and (potentially) policymakers. It will reveal what has happened globally, across every inhabited continent, during the pandemic relative to athletes and their training practices. Your participation will contribute to improving the current and future lifestyle of athletes.
Target population: Elite or sub-elite athletes (amateur or professional from both genders, including Para athletes) from any country that is experiencing, or has experienced, a lockdown during the COVID-19 pandemic.
Privacy, confidentiality, and Data security : All responses will be de-identified and processed anonymously (you will not be asked to provide us with your name, ensuring total anonymity). No other identifying information, including IP address will be recorded. At the end of the study, the data will be destroyed in compliance with international regulations. Precautions will be taken to control access to all data. Only authorized individuals (principal investigators) will have access to the dataset. We’re minimizing the risk of breach of confidentiality by collecting and storing the data anonymously, and by saving data with password protection. This international survey has been approved by the Ethics Committee of Imam Khomeini International University.
Results : The results of this project will be used for scientific publications where it will not possible to identify any of the participants. To inquire about the results of the survey, please email the principal investigator. For any inquiries, please feel free to contact the principal investigator: Morteza Taheri E-mail: m.taheri@soc.ikiu.ac.ir
English
Arabic
Persian:
Turkish:
Portuguees
Germany
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Hello dear colleague.
A very interesting study. I can join.
I have experience in questioning student-athletes.
As well as the correction of their nutrition in order to increase immunity and endurance.
I would be happy to work together.
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Hi,
Just checking if anyone has an Excel scoring synthax for the Pittsburgh Sleep Quality Index that they would be happy to share
Thanks
Kate
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Hannah Beaman Thank you! That saved me a lot of time on a short deadline.
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Sleep is known for its immuno-modulatory and immune strengthening effects. Different sleep stage specific deprivations studies across animal kingdom are found correlated with many patho-physiological, immune-weakening and health detrimental issues. Is the lack of sleep with modern stress and socio-economical changes are driving the immuno-deficiency in humans to combat virus challenges?
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A disrupted circadian rhythm caused by poor sleep may decrease night-time melatonin levels increasing the susceptibility for SARS-CoV-2 infection
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I have been trying to acquire 2P images during awake and sleep states, however according to the EEG recordings, the mice are not falling asleep. I have recorded around 2-3 h but nothing happens. Any suggestions on what I can do to make it more "comfortable" for the mice to fall asleep while recording?
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Hola, yo haría lo que Fernanda recomienda. Privar de sueño para que cuando haga el registro me asegure de que está dormido. Tambien puedes intentar inducirlo farmacológicamente. O habituar a los animales a los aparatos, tal vez acostumbrarlos a dormir con algo que simule tus aparatos del día de registro.
Saludos
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Our lab is looking into actigraphy devices for sleep study including insomnia and metabolic measurements such as heart rate. Are there any well-validated devices, wearable for 7+ days and with easily exportable data that would be applicable in this setting?
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Jawac device to measure mandibular movements. Read the Bassam Chakar's article.
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To: All Students
Cc: Faculty Members
Subject: Invitation to participate in research about the inter-relationship between sleep pattern, physical activities and quality of life in students
Dear students
Within an international scientific research framework approved by the Institutional Review Board of Qatar University (QU-IRB 1510-EA/21) led by the College of Education, we would like to invite you to answer the following online survey about The inter-relationship between sleep pattern, physical activities and quality of life in students.
We would like to kindly ask you to do your best to answer all questions, if possible, because this will allow us to anonymously process and analyze the data, and thus, improve the knowledge in the field.
The estimated time to complete the survey is of about 20 minutes and it is available in three languages:
In case of any query, please feel free to email the lead principal investigator Imen Moussa-Chamari:
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Ok with great pleasure
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I am conducting repeated measures research on sleep quality (outcome variable) assessed daily over 2 weeks (14 time points). My research question is about determining which behaviours engaged in on the previous day contribute to the outcome variable. These behaviours are mostly dichotomous ("Yes, I did this behaviour" vs "No, I did not") and there are 15+ behaviours assessed.
I have several questions I hope people can help with:
1) Am I ok to use all behaviours in the model as fixed factors given I have data from almost 100 participants to draw from? I suspect that the model might become too complex with more than 15 factors but I do not know for sure, nor am I familiar with the pros and cons for analysing all behaviours together or having separate models for each behaviour.
2) If I assume that I can use all behaviours in one model would I be correct in fitting the participants as a random factor?
3) Should I also be considering interactions? As I expect that certain behaviours may have bigger impacts on sleep depending on the participant. If so, how do I account for this in the model - am I able to fit the interaction as fixed even if participants are fitted as random?
4) If there are deviations from normality of residuals, am I able to use GLMM instead, or should I consider using GLMM from the get-go? (I'm not entirely clear on the differences) but I have seen this come up in my search for an approriate analysis.
Many thanks in advance,
Tom
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Hi Tom,
I think the first question you have to ask yourself is how your dependent variable (DV) would look like. You say yourself that you have 14 time points for the DV, but L(M)M (linear (mixed) models) can only handle one column of DV. You may come up with a way to create it from your time points, but that depends on the theoretical bases of your research, not stats.
Assuming you get a clear outcome DV, here are some answers to your questions:
1 - It's not really about how many participants you have (in terms of model convergence; statistical power is a different question), but whether the experimental design is filled (you have data points for each cell). Let's assume you do. In that case, since I guess you collected all the independent variables (IV, i.e., behaviours) because you are interested in their effect on the DV, you definitely should add them in the model. You should not build separate models for behaviours, because that would inflate errors and because you'd miss the interplay of them on the DV.
2 - It's always advisable to add a random intercept for participant, if your model can handle it. However, mind that if you only have one row of data per subject, random effects cannot be fitted.
3 - Whether you should fit interactions or not is not a stats question, but it depends on your hypotheses. If you hypothesise there is an interaction, you need to fit it, regardless of it being or not being statistically significant. However, if you're rather running an exploratory model, you may want to add all possible IVs (if the model converges) and run a step-wise procedure which would choose the best model based on AIC/BIC. Do mind that the fact that one IV would have a bigger impact on DV than another would not be reflected in an interaction. Instead, you'd want to look into how much variance in the DV each IV explains - check how much bigger is the R^2 of the model with this IV in comparison to one without it. Of course, p-values also tell you if the IV explains statistically significant amount of variance (however you want to interpret it).
4 - If you have theoretical reasons to believe that the relation between DV and IVs is linear, you should start with an LMM. However, it's crucial to check the model's assumptions, which include normality of the residuals. If these are not normal, you need to either transform your data, or go to GLMMs. GLMM, though, is more complicated than LMM, so I'd suggest you first really understand your steps in LMM before you move on. You may also want to check papers discussing transformations/GLMMs, e.g., https://www.frontiersin.org/articles/10.3389/fpsyg.2015.01171/full.
Good luck!
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Assume vehicle is off and windows are closed. Can enough fresh air enter through door seals or fresh air intake in cowling to provide enough oxygen. Assume one person is in car.
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Richard Muscoplat I guess its actually carbon monoxide maximum!
However, According to a recent research by Swedish sensors maker Senseair, CO2 levels reach 1,000 ppm in 1.5 minutes, 2,500 ppm in 5 minutes, and frightening 6,000 ppm after 22 minutes, although with air flow ventilation powered on! Drowsiness is also a factor for 10% to 30% of car accidents annually, with high CO2 levels being a significant contributor. The usage of CO2 sensors in automobiles can help manage ventilation and perhaps protect fatalities. Modern automotive interiors are modeled to constantly deliver adequate air flow to manage CO2 levels for an individual traveler around or underneath 2,500 ppm. Therefore, by switching on "recirculate," the relatively stable flow of fresh air is halted, resulting in CO2 accumulation.
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A self report after 6 to 7 months of May 2021 operation ( proGAV 2 + Miethke blue + peritoneal catheter change)
Implantation settings: proGAV 2 was 1 and Miethke blue was on 20. After operation supine headache was remarkably improved compared to preoperative (supine adjustment postoperative was 1 compared to 3 preoperative). This was my main preoperative complaint which motivated me to go for valve replacement (proSA stopped going up).
My preoperative standing was 20 (3 + 17). Postoperative adjustments were 1) proGAV 1 to zero and 2) Miethke blue from 20 to 19. Before adjustments I noticed a crescendo increase in headaches followed by spontaneous relief after around 1 week. This happened in cycles. Currently I am at sum of 19 standing and zero supine. This Miethke blue cycle disappeared. I think this is a very important advancement in M. blue.
My self current evaluation:
In case our grading scale is 0 to 10 regarding headache; when 0 refers to no headache and 10 is worst headache:
My standing or sitting headache is 1 to 2 and my supine headache is 5 to 6
Examples of self report improvements:
1)Comfort of sleep and dream qualities are fair.
2)Time spent in preparing and taking morning medicines (5 tablets from strips + eyedrops + inhaler) improved: from 10 min. to 4 to 5 min.
3)Improvement of my medical reading.
4)Social relation improvements which included strategic planning of things and solving problems.
5)Some hobbies occasionally like swimming, walking and enjoying watching football matches.
The above are good positive things. I hope I will be able to write a second report after 1 year. Also a new MRI for comparison.
The point of this discussion is a trial to improve supine adjustment and sleep which is described as elixir of life. This logically apply to all vp shunted patients.
Suggestions and comments are wellcomed.
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I found that sleeping in a slope about 30 degrees improves supine headaches. I will watch in the coming period the standing situation. I hope nothing, but theoritcally if supine csf pressure is lowered, on getting up we I am starting daily activity with a lower csf pressure.
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I am interested in the scoring guide for the ASKME (Assessing Sleep Knowledge in Medical Education) survey. In addition to the correct answers, I am also interested in how the different questions are divided into the categories. Thanks!
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Hi everyone,
I want to simulate different energy plus models with different occupancy profiles from excel using python. Could you suggest a library to do so and in which format I should import my occupancy profiles? As of now, excel sheets has activity data such as sleeping, cooking and so on and different IDF files with default 24*7 occupancy schedule from Design Builder.
Thanks in advance!
Divyanshu
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Hey Divyanshu,
We have an open source platform BESOS developed at the Energy Systems and Sustainable Cities lab at UVic for running E+ parametric simulations using Python. You can modify any parameter of your occupancy profile in the IDF within the platform. Let me know if that is something you are after.
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Is there any effect on the airway and development of obstructive sleep apnoea after surgically setting the mandible back with a bilateral sagittal split osteotomy? Is there any evidence?
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Just like I call you Adill
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I am looking for a short questionnaire to assess the quality of sleep, ideally it should not have more than 5 questions, but I am having difficulty finding one. Any suggestions ?
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Hi,
Some references from where you can get cross-references:
Sancho-Domingo C, Carballo JL, Coloma-Carmona A, Buysse DJ. Brief version of the Pittsburgh Sleep Quality Index (B-PSQI) and measurement invariance across gender and age in a population-based sample. Psychol Assess. 2021 Feb;33(2):111-121. doi: 10.1037/pas0000959
Ibáñez V, Silva J, Cauli O. A survey on sleep questionnaires and diaries. Sleep Med. 2018 Feb;42:90-96. doi: 10.1016/j.sleep.2017.08.026
link with sleep-related scales
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I need Theory for Continous Care Model for sleep quality
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Hi,
Maybe some of the cross-references in the articles given below can be of help to you
Otaghi M, Bastami M, Borji M, Tayebi A, Azami M. The Effect of Continuous Care Model on the Sleep Quality of Hemodialysis Patients. Nephrourol Mon. 2016 Mar 19;8(3):e35467. doi: 10.5812/numonthly.35467
Khosravan S, Alami A, Golchin Rahni S. Effects of continuous care model based non-pharmacological intervention on sleep quality in patients with type 2 diabetes mellitus: a randomized controlled clinical trial. Int J Community Based Nurs Midwifery. 2015 Apr;3(2):96-104
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People have to eat and drink because of hunger, thirst and basic requirement to live. People rest and sleep because it's also a requirement to continue living. Both eating and sleeping come naturally and instinctively. Exercise, however, requires work and motivation and does not have the same natural instinctive behavior to stay alive as eating and sleeping.
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As the holiday season comes into full gear and the year comes to an end, many people may be thinking about starting regular physical exercise as a new activity for the new year whether to keep fit or maintain ideal body weight. Throughout the years, there have been so many commercially well-known products from gym membership to home gadgets that people can do at home. Whether the gyms are used for exercises or for socializing, the lure to get new members to replace the members that quit is pretty much constant. Why do people quit the gym? As for home gadgets are concerned, they lure people with all kinds of gimmicks. They even make gadgets that require no actual conscious muscle contractions. The gadgets have electrodes to actually stimulate and contract the muscle fibers for you. People can buy a very expensive stationary bicycle and have a coach appear on a monitor screen cheering you on while exercising. Whether it's the gym or home gadgets to do exercises, most have failed and do not have much staying power. People eventually quit the gym for whatever reason, and the gadgets end up collecting dust or parts of a garage sale. Physical exercise to keep fit and to spend the extra calories consumed requires both work and commitment. One form of natural activity that people forget and underestimate that can still be used as an exercise to keep fit and healthy is "walking". The long lower limbs are perfectly made and have evolved to be used so we can be mobile and independent to move from one place to another and not only from the couch to a dining chair or inside the house to a driver's seat of a car.
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Hi. It is well known that we lose consciousness when we fell asleep, as an individual, we stop being conscious of external and internal stimuli, at least, in most cases. In no-dream sleep, brain activity should be one that can unconsciously manage internal and external stimuli, and should not experiment significant changes in blood flow to the brain, as if we were to observe with fMRI, nearly no BOLD signal would appear. Am I right about this last thing? If not, please reply. Thanks to all.
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I have to find the correlation and causality between participants’ smartphone uses pattern and loneliness. For that, i have the dependent variable loneliness (both baseline (0 to 80) and daily: in an 0 to 10 numeric scale), and independent variables listed from daily smartphone uses screen time, spend time in several categorized apps like social media, entertainment, communication, physical activity, sleep, and some social variables and moods like how much the person felt bored, anxious, satisfied, productive, etc. I will collect these independent variables for 10 days, and the psychosocial variables will be collected three times a day. I also have to use a couple of prediction algorithms for predicting loneliness with the above-mentioned independent variables. But first, I have to find the correlation and causality between the dependent and independent variables. I just have programming experience until now with python, no statistics knowledge. I have about 9 months remaining to complete my thesis. Please share your valuable guideline and resources on how can I proceed with this challenge where I can get the most meaningful results.
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Abiodun Christian Ibiloye Thank you so much sir for your enormous suggestions.
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Hi sir/madam,
Hope you are Healthy and doing well,
In my study I have 2 experimental groups (patients with neck pain and sleep disturbances at baseline) these two groups are equal at baseline in almost all variables and one control group (healthy participants).
After 6 weeks of interventions I have taken the post readings.
Is 2 way repeated measure ANOVA suitable test to use ? Or other test could be more accurate?
If 2 way repeated measure is suitable, should I incorporate covariate in the analysis or keep it blank ?
Thank you
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Hi Mosab,
I hope you are doing well.
In this case, where you have got 3 groups and 2 time points of measurement, you should go for 3X2 repeated measured ANOVA. ANOVA will be applicable subject to type of data (only if the data is continous, you can go ahead with ANOVA) and normality of the data (log transform the if non-normal). These are basic assumptions to any parametric test.
Regarding including the covariates, you need not to add any co-variate if you have not proposed any co-variate adjusted analysis. If in case, any variable comes out to be significantly different between the groups at baseline, then, you can go for analysis of covariance (ANCOVA) where in you can put the baseline value as a covariate.
Thanks & regards,
Dr. Pooja
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Can anyone give instructions for the scoring of Global Sleep Assessment Questionnaire? The original authors (Roth, et al, 2002) do not provide clear-cut scoring criteria
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Hi,
A new quetionnaire to detect sleep disorders
  • April 2002
  • Sleep Medicine 3(2):99-108
  • Follow journal
  • DOI:
  • 10.1016/S1389-9457(01)00131-9
  • This is a request article in Research Gate. Place a request with authors and ask for instruction details.
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