Daytime sleep latency in medication‐matched parkinsonian patients with and without sudden onset of sleep

2005 ◽  
Vol 20 (12) ◽  
pp. 1620-1622 ◽  
Author(s):  
J. Carsten Möller ◽  
Mira Rethfeldt ◽  
Yvonne Körner ◽  
Karin Stiasny‐Kolster ◽  
Werner Cassel ◽  
...  
SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A63-A64
Author(s):  
R C Brindle ◽  
M Ahmad ◽  
K Evans ◽  
A Hatfield ◽  
S Holthouser

Abstract Introduction The extent to which mental stress causes sleep disturbance is unknown as experimental studies of stress and sleep have yielded mixed results. Potential mechanisms linking stress to poor sleep are also poorly characterized. The current study aimed to 1) assess the impact of experimentally-induced mental stress on daytime sleep and 2) test candidate mechanisms including physiological and emotional stress reactivity, stress rumination, attentional threat bias, and insensitivity to future consequences. Methods Participants (N=30) were randomized to a control (n=14) or stress group (n=16). Both groups were given a 60-minute nap opportunity at midday (≈13:30). Prior to sleep, participants in the stress group completed a socially evaluative mental arithmetic stress task and were instructed that they would be required to give a brief speech upon awakening. Sleep was monitored with polysomnography and scored according to standard AASM criteria. Measures of heart rate (HR), blood pressure (BP) and self-reported stress were recorded during the stress task. Self-reported stress rumination was measured upon awakening. Attentional threat bias was measured using an emotional dot probe and performance on the Iowa Gambling Task quantified insensitivity to future consequences. Results Acute mental stress significantly increased HR and BP (all p<.001, all Cohen’s d>1.24) and participants reported significant increases in self-reported stress (p<.001). The stress group exhibited longer sleep latency (p=.038, d=.82), shorter sleep duration (p=.044, d=.78), and worse sleep continuity (p=.045, d=.79). Subjective sleep quality was not different across groups (p=.39, d=.32). Of all candidate mechanisms, physiological reactivity was the only one significantly related to sleep measures. Greater HR reactivity predicted longer sleep latency (r=.37), shorter sleep duration (r=-.59), and worse sleep continuity (r=-.59). Conclusion Acute mental stress caused significant disturbances in a single episode of daytime sleep. The degree of disturbance was, to an extent, predicted by the amount of physiological reactivity to stress. Support This work was supported a Washington and Lee University Summer Lenfest Grant and the Summer Research Scholars Program.


SLEEP ◽  
1989 ◽  
Vol 12 (4) ◽  
pp. 345-353 ◽  
Author(s):  
C. F. P. George ◽  
T. W. Millar ◽  
P. J. Hanly ◽  
M. H. Kryger

1983 ◽  
Vol 55 (6) ◽  
pp. 652-661 ◽  
Author(s):  
Cheryl L Spinweber ◽  
Reidun Ursin ◽  
Raymond P Hilbert ◽  
Richard L Hildebrand
Keyword(s):  

2021 ◽  
Vol 37 (8) ◽  
Author(s):  
Lailah Maria Luiza Gonzaga Cavalcanti ◽  
Rodrigo Antunes Lima ◽  
Caroline ramos de Moura Silva ◽  
Mauro Virgilio Gomes de Barros ◽  
Fernanda Cunha Soares

This study aims to evaluate factors associated with sleep quality (overall and by domains) in adolescents. A cross-sectional study. This study was conducted with 1,296 first-year high school students from public schools in the Northern Region of the State of Pernambuco, Brazil. Demographic, socioeconomic, and behavioral data were obtained with a questionnaire. Sleep quality was measured using the Pittsburgh Sleep Quality Index (PSQI) Body mass index (BMI) was calculated based on the ratio of weight and height squared. Multilevel linear and logistic regressions evaluated factors associated with sleep quality. We observed 53% of adolescents reported poor sleep quality. Adolescents at higher risk of clinical depression were 3.45 times more likely to have poor sleep quality (95%CI: 2.04; 5.81), and each additional unit in the social anxiety score presented 1.03 (95%CI: 1.01; 1.05) higher odds of adolescents having poor sleep quality. Adolescents with depressive symptoms had higher sleep latency, greater sleep disturbance, and greater daytime sleep dysfunction. Social anxiety was associated with sleep latency, sleep disturbance, and daytime sleep dysfunction. Higher risk of clinical depression was associated with all domains related to sleep quality. Negative health perception was associated with sleep disturbance, and physical inactivity was associated with daytime sleep dysfunction. Social anxiety and especially higher risk of clinical depression were determinants of poor sleep quality. Changes in sleep latency, sleep disturbance and daytime sleep dysfunction seems to be relevant to poor sleep quality.


2019 ◽  
Vol 43 (3) ◽  
pp. 278-285 ◽  
Author(s):  
Angela D. Staples ◽  
John E. Bates ◽  
Isaac T. Petersen ◽  
Maureen E. McQuillan ◽  
Caroline Hoyniak

The present study considered multiple aspects of sleep in a community sample of young children (at ages 30, 36, and 42 months) and their mothers, using both diaries and actigraphy. Through principal components analysis, 17 of 20 commonly used actigraphy variables were reduced to four main components whose variables formed composites of: Activity, night-to-night Variability, Timing, and Duration. Sleep latency and daytime sleep variables remained separate from the composites. The same components were identified at each age, and for both children and mothers. Furthermore, the sleep composites derived from the components showed greater cross-age stability than individual actigraphy variables. Finally, child and mother sleep composites were related concurrently and longitudinally. These findings demonstrate a systematic and efficient way of summarizing child and mother sleep with actigraphy variables.


1991 ◽  
Vol 49 (3) ◽  
pp. 260-264 ◽  
Author(s):  
Rubens Reimão ◽  
Hélio Lemmi

The objective of this study was to evaluate clinical, polysomnography and the multiple sleep latency test (MSLT) features in young narcoleptics. We evaluated 14 patients with mean age of 13.6 years old (ranging from 6 to 18 years) ; 11 were males and 3 females. Daytime sleepiness was the main complaint in all cases and started at the ages of 6 to 17 years. Cataplexy was described in 10 cases and it was considered mild to moderate in all but one case. Sleep paralysis was present in 6 cases and hypnagogic hallucinations in 7 cases. The main polysomnography characteristics were the short sleep latency in 9 cases and the sudden onset of REM periods in 7 cases. The MSLT showed short or borderline sleep latencies in 13 cases, with a mean of 4.9 min; 2 or more REM periods were present in 13 cases. Clinical, polysomnographic and MSLT characteristics in the age bracket focused were remarkably similar to those of adult narcoleptics suggesting the stability of these psysiopa-thological markers.


Author(s):  
Bruce R. Pachter

Diabetes mellitus is one of the commonest causes of neuropathy. Diabetic neuropathy is a heterogeneous group of neuropathic disorders to which patients with diabetes mellitus are susceptible; more than one kind of neuropathy can frequently occur in the same individual. Abnormalities are also known to occur in nearly every anatomic subdivision of the eye in diabetic patients. Oculomotor palsy appears to be common in diabetes mellitus for their occurrence in isolation to suggest diabetes. Nerves to the external ocular muscles are most commonly affected, particularly the oculomotor or third cranial nerve. The third nerve palsy of diabetes is characteristic, being of sudden onset, accompanied by orbital and retro-orbital pain, often associated with complete involvement of the external ocular muscles innervated by the nerve. While the human and experimental animal literature is replete with studies on the peripheral nerves in diabetes mellitus, there is but a paucity of reported studies dealing with the oculomotor nerves and their associated extraocular muscles (EOMs).


2020 ◽  
Vol 5 (1) ◽  
pp. 88-96
Author(s):  
Mary R. T. Kennedy

Purpose The purpose of this clinical focus article is to provide speech-language pathologists with a brief update of the evidence that provides possible explanations for our experiences while coaching college students with traumatic brain injury (TBI). Method The narrative text provides readers with lessons we learned as speech-language pathologists functioning as cognitive coaches to college students with TBI. This is not meant to be an exhaustive list, but rather to consider the recent scientific evidence that will help our understanding of how best to coach these college students. Conclusion Four lessons are described. Lesson 1 focuses on the value of self-reported responses to surveys, questionnaires, and interviews. Lesson 2 addresses the use of immediate/proximal goals as leverage for students to update their sense of self and how their abilities and disabilities may alter their more distal goals. Lesson 3 reminds us that teamwork is necessary to address the complex issues facing these students, which include their developmental stage, the sudden onset of trauma to the brain, and having to navigate going to college with a TBI. Lesson 4 focuses on the need for college students with TBI to learn how to self-advocate with instructors, family, and peers.


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