ADHD and sleep

Author(s):  
Melissa Mulraney ◽  
Emma Sciberras ◽  
Michel Lecendreux

The chapter ‘ADHD and sleep’ provides an overview of what is known about sleep in children with ADHD. The chapter begins by discussing normal sleep patterns across the lifespan, how sleep is regulated, and the consequences of insufficient sleep. It then reviews the literature relating to the prevalence and potential causes of sleep problems in children with ADHD. The chapter then provides an overview of both subjective and objective assessment methods of sleep in children with ADHD before reviewing the evidence for and providing recommendations for treatment of sleep problems in children with ADHD. The chapter concludes with suggestions for the future.

2016 ◽  
Vol 52 ◽  
pp. 194-202
Author(s):  
S. L. Voitenko ◽  
L. V. Vishnevsky

The article shows the state of Ukrainian Whiteheaded cattle, which includes distribution of cattle, the number of animals belonging to respective bloodlines, evaluation of young animals with live weight in the process of growing and milk production of cows during the first lactation. It reflects the historic development of the breed when it was colonism whiteheaded cattle, which turned into the original breed, undergone a significant expansion in livestock and increase of productivity, decreased in the number, was as basis for creation of Ukrainian Black-and-White dairy breed and now bred only in one breeding farm. Visual estimation of animal exterior showed good development of cows and calves and their belonging to the dairy type. In the vast majority the cows of the herd have a black suit, a white head with " glasses" around the eyes, white belly, udder, lower legs and brush of the tail. The youngsters aren’t consolidated by the exterior, and among them there are animals which are not typical for Ukrainian Whiteheaded breed. The young animals have some lag in live weight behind the breed standard [12] to 7 months’ age with exceeding of this trait in certain periods quite significantly in the future. It was established that selection of heifers on live weight will be effective at the early age (1-5 months), given the coefficient of variation of live weight – 22,63-30,21% and will not have a significant influence in the future. Milk yields of first-calf heifers vary considerably depending on the origin. The milk yield of first-calf heifers in the herd was 4238,5 kg on average, the heifers belonging to Mart 171 and Ozon 417 bloodlines had the best milk performance – 4483,1 and 4254,9 kg accordingly. The most aligned milk yield during the first lactation was in the cows belonging to Ozon 417 bloodline, the limits of the trait are 4128,5-4327,4 kg with the average value by the line 4254,9 kg. In contrast, the first-calf heifers of Ryezvyi 33 bloodline with average milk yield 4048,9 kg had limits of the trait 2199,3-4736,1 kg. Even greater range in cows’ milk yield during the first lactation R= 4939 kg (limits 1687 – 6626 kg) is characterized for the herd in general, it shows, on the one hand, the possibility of qualitative improvement of cows’ productivity due to selection on the investigated trait and lack of selection in the herd on the other hand. It was established that daughters of bull Chardash belonging to Ryezvyi 33 bloodline produced 4736,1 kg of milk for 305 days of the first lactation with fat content 3,6%, whereas Zlak’s descendants of the same line were characterized by the lowest milk yield for the first completed lactation – 2199,3 kg with fat content 3,7% and the average value by the line – 4048,9 kg of milk, fat content 3,6%. Similar variability of first-calf heifers’ milk yields, depending on the origin, is typical for other bloodlines of Ukrainian Whiteheaded breed. To increase milk productivity of Ukrainian Whiteheaded cows is recommended to repeat successful combinations of parental forms, and to preserve the breed – to carry out an objective assessment of animals by a range of traits, given the efficiency of selection of heifers on live weight at early age.


SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A241-A242
Author(s):  
Jack Peltz ◽  
Ronald Rogge ◽  
Joseph Buckhalt ◽  
Lori Elmore-Staton

Abstract Introduction Approximately half of school-aged children (ages 5–18) get either insufficient sleep during school nights or barely meet the required amount of sleep expected for healthy functioning (National Sleep Foundation, 2014).This percentage increases as children develop into adolescents (National Sleep Foundation, 2006). Accordingly, sleep problems and insufficient sleep are so pervasive that they could be considered an epidemic due to their adverse impact on children’s mental and physical health (Owens, 2015; Shochat et al., 2014). Fundamental to children’s sleep health is their sleep environment (Billings et al., 2019; Spilsbury et al., 2005). Despite its importance, however, there remains a noticeable absence of valid and reliable assessments of this construct. The current study sought to develop a measure of children’s sleep environments to support research and clinical work on youth’s sleep health. Methods A total of 813 parents (Mage = 40.6, SD = 8.6; 72% female) completed an online survey regarding their child’s (Mage = 10.5, SD = 3.8; 45% female) sleep environment and sleep-related behavior. The majority of families identified as Caucasian (approximately 80%). Parents reported fairly high annual incomes (Median = $75,000), but 28.2% of families reported incomes less than $50,000. A total of 18 items (total scale score; alpha = .74) were selected from a pool of 38 items developed from previous research that examined aspects of the sleep environment and were entered into an exploratory factor analysis from which 4 factors emerged: general sleep environment (10 items, alpha = .91), sleeping alone vs. with siblings (2 items, alpha = .78), presence of electronic screens (4 items, alpha = .75), and emotional environment (2 items, alpha = .80). Results The subscales demonstrated distinct patterns of correlations with related constructs, and unique predictive variance in explaining children’s daytime sleepiness even after controlling for children’s sleep hygiene, behavior problems, and sleep problems. Conclusion The current study is one of the first to demonstrate a valid/reliable assessment of children’s sleep environments. Not only will this measure provide researchers with an assessment of a fundamental influence on children’s sleep, but it will also enable clinicians to better measure this construct and support effective sleep health recommendations. Support (if any):


2011 ◽  
Vol 17 (4) ◽  
pp. 571-586 ◽  
Author(s):  
Flavie Waters ◽  
Romola S. Bucks

AbstractThere is rapidly accumulating evidence of a close relationship between sleep loss and cognition. Neuropsychologists need to become aware of this body of knowledge as the effects of sleep loss on brain functions are significant. The current study (a) outlines the extent to which insufficient sleep affects performance on cognitive tasks in otherwise healthy people, (b) discusses the relationship between sleep and neurocognitive disorders, and (c) highlights key issues that merit consideration for neuropsychologists. This review shows that sleep loss has a measurable impact on performance through decreases in cognitive functions and effects on biological pathways that support cognitive performance. Sleep loss reliably produces reductions in speed of processing and attention. Higher order cognitive functions are affected to a lesser extent, and there is sparing on tasks of crystallized abilities. Deficits worsen with increasing time awake, but may be overturned after normal sleep is resumed. The review also shows that sleep disorders are a major feature of neuropsychological conditions contributing to the pattern of cognitive impairment. Overall, neuropsychologists must be alert to sleep problems in their clients, so that sleep interventions, or referrals, are put in place in the rehabilitation plan of individuals with cognitive dysfunctions. Recommendations also include routine screening of sleep as part of cognitive assessment. (JINS, 2011,17, 571–586)


2015 ◽  
Vol 10 (4) ◽  
pp. 247 ◽  
Author(s):  
Karine Fournier ◽  
Lindsey Sikora

Abstract Introduction – Librarians in academic institutions have been providing personalized services to the student population by offering individualized research consultations (IRC) for decades. These consultations usually consume many hours of librarians’ busy schedules, and yet the impact of these consultations is unknown. Therefore, it’s worth asking the question: what assessment methods have been used in academic libraries to evaluate the impact of IRC? Methods – A retrospective scoping review of the literature was performed using the following databases: Library and Information Science Abstracts (LISA), Educational Resources Information Center (ERIC), Library and Information Technology Abstracts (LISTA), Scopus, and Web of Science. Additionally, a manual search of the included papers reference lists was conducted to locate additional relevant papers. Articles that mentioned a format of evaluation or assessment and were based within a library setting were included. Articles that discussed group instruction that were not in a library setting, or that did not include any form of evaluation or assessment, were excluded. Results – Researchers located 578 articles and reviewed titles and abstracts. 523 titles were eliminated, while full text sources of the remaining 55 were examined to check inclusion and exclusion criteria. 20 articles remained for qualitative synthesis. Specific methods of assessment were reviewed and three overall assessment methods were identified: 1) usage statistics, 2) survey, and 3) objective quantitative methods. Conclusion – Many articles using a usage statistics method stated that they wanted to further their assessment of individual consultations. Several authors using a survey method described the value of the information gathered by surveying their users for improving their service, but also mentioned that this method is subjective in nature. They mentioned that objective assessment methods would provide a better understanding of the impact of IRCs. The few articles using objective quantitative methods obtained mixed results. Overall, more research in the assessment of IRCs is needed, particularly those with objective quantitative methods.


2016 ◽  
Vol 56 ◽  
pp. 669-685 ◽  
Author(s):  
Amro M. Farid ◽  
Bo Jiang ◽  
Aramazd Muzhikyan ◽  
Kamal Youcef-Toumi

2017 ◽  
Vol 24 (4) ◽  
pp. 499-508 ◽  
Author(s):  
Stephanie G. Craig ◽  
Margaret D. Weiss ◽  
Kristen L. Hudec ◽  
Christopher Gibbins

Objective: Children with ADHD display higher rates of sleep problems, and both sleep disorders and ADHD have been shown to affect functioning in childhood. The current study examines the frequency and relationship between sleep problems and ADHD, and their impact on quality of life (QoL) and functional impairment. Method: Parents of 192 children with ADHD ( M = 10.23 years) completed measures regarding their child’s ADHD symptoms (Swanson, Nolan and Pelham [SNAP]), sleep disorders (Pediatric Sleep Questionnaire [PSQ]), QoL (Child Health Illness Profile [CHIP-PE]), and functioning (Weiss Functional Impairment Rating Scale–Parent Report [WFIRS-P]). Results: Common sleep complaints in participants were insomnia, excessive daytime sleepiness (EDS), and variability in sleep schedule. Regression analysis indicated that sleep problems and ADHD symptoms independently predicted lower levels of QoL (Δ R2 = .12, p < .001) and social functioning (Δ R2 = .12, p < .001). Conclusion: The results suggest that ADHD may coexist with somnolence and that both conditions have a significant impact on a child’s functioning and QoL.


1991 ◽  
Vol 78 (1) ◽  
pp. 66-70
Author(s):  
B. Van Sweden ◽  
A. Wauquier ◽  
B. Kemp ◽  
H.A.C. Kamphuisen
Keyword(s):  

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