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Marie Bruyneel - One of the best experts on this subject based on the ideXlab platform.
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Correlation between Sleep Parameters, physical activity and quality of life in somnolent moderate to severe obstructive Sleep apnea adult patients
European Respiratory Journal, 2013Co-Authors: Jelke Verwimp, Lieveke Ameye, Marie BruyneelAbstract:Purpose Several symptoms are described in obstructive Sleep apnea (OSA), including excessive daytime Sleepiness, depressive mood and neurocognitive dysfunction. However, few studies examined the relationship between objective physical activity, quality of life and Sleep Parameters. The purpose of this study was to determine Sleep Parameters (evaluated by actigraphy and polysomnography), implied in the occurrence of impaired physical activity and reduced quality of life in somnolent moderate to severe OSA patients. Methods We reviewed retrospectively data of 75 somnolent moderate to severe (Apnea-Hypopnea Index>20) OSA patients. Data of 5- days actigraphy and polysomnography were analysed. They all completed the Nottingham Health Profile questionnaire (NHP). Sleep Parameters associated with physical activity and quality of life were assessed. Results Patients were mainly obese (mean BMI 36), and males (53%). Controlling for age and BMI, physical activity, expressed as number of steps walked/day, is associated with OSA severity in REM Sleep (p= 0,05). Regarding quality of life, “Sleep”,“energy” and “emotional reactions” scored highest; and patients evaluated correctly their activity impairment through the “mobility” item of NHP questionnaire. Conclusions Low level of physical activity is associated with increasing OSA severity in somnolent moderate to severe OSA patients but is not linked to subjective somnolence. These patients describe concomitantly a severely impaired quality of life in several domains, and the negative perception in the “mobility” domain is effectively related to an objective low level of physical activity.
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Correlation between Sleep Parameters, physical activity and quality of life in somnolent moderate to severe obstructive Sleep apnea adult patients
Sleep & breathing = Schlaf & Atmung, 2013Co-Authors: Jelke Verwimp, Lieveke Ameye, Marie BruyneelAbstract:Purpose Several symptoms are described in obstructive Sleep apnea (OSA), including excessive daytime Sleepiness, depressive mood and neurocognitive dysfunction. However, few studies examined the relationship between objective physical activity, quality of life and Sleep Parameters. The purpose of this study was to determine Sleep Parameters (evaluated by actigraphy and polysomnography) implied in the occurrence of impaired physical activity and reduced quality of life in somnolent moderate to severe OSA patients.
Tomoyuki Kawada - One of the best experts on this subject based on the ideXlab platform.
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Validation study on Sleep Parameters by actigraphy for normal subjects.
Sleep & breathing = Schlaf & Atmung, 2014Co-Authors: Tomoyuki KawadaAbstract:Dear Editor: O’Hare et al. reported the performance of three Sleep monitoring devices for measuring Sleep Parameters in 20 normal subjects against Sleep polysomnography (PSG) [1]. The authors used two non-contact radio-frequency biomot ion sensors , named SleepMinder® and S leepDes ign® , and an acce l e rome te r , named Actiwatch®. Compared with Sleep PSG, all three devices overestimated total Sleep time and underestimated wake after Sleep onset and Sleep onset latency. I appreciate that the authors checked the validity of three Sleep monitoring devices, including Actiwatch®, against Sleep PSG. Although the agreement of Sleep/wake judgment by Sleep monitoring devices is satisfactory for normal subjects, the authors recognized the limitation when these devices were applied for patients with insomnia. I have a query on their study with special emphasis on Actiwatch®. O’Hare et al. quoted a paper on selecting appropriate cutoff point for Sleep-wake judgment [2], but there is no definite way to determine the best sensitivity of Sleepwake judgment for every subject. Kushida et al. found the best overall accuracy and ability to detect wakefulness using Actiwatch® and PSG, when the “high-sensitivity” setting (20 counts per minute) was used [3]. Peterson et al. adopted the default sensitivity setting (40 counts per minute), and they described the overestimation of total Sleep time and underestimation of wake after Sleep onset by Actiwatch® [4], which was the same study outcome by O’Hare et al. There is a difference between brain activity and physical movement during Sleep, and the discrepancy of Sleep Parameters between Sleep PSG and Sleep monitoring devices would be obvious for insomniacs [5]. Validation study of Sleep Parameters by SleepMinder®, SleepDesign®, and Actiwatch® as a tool for Sleep/wake judgment should also be conducted in patients with Sleep apnea syndrome and other Sleep disorders.
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Sleep Parameters in rhesus monkeys by using actigraphy.
Psychopharmacology, 2013Co-Authors: Tomoyuki KawadaAbstract:Dear Editor; Andersen et al. (2013) reported the effect of methamphetamine on Sleep Parameters in rhesus monkeys by using actigraphy, named Actiwatch®. They quoted some references (Mann et al. 2005; Andersen et al. 2010; Andersen et al. 2012) to establish the validity of their study. Sleep efficiency, Sleep latency, and Sleep fragmentation were selected as Sleep Parameters, which were calculated by using Actiware software program. As a conclusion, methamphetamine (0.03 mg/kg) disrupted Sleep by producing an increase in Sleep latency and Sleep fragmentation, in combination with a decrease in Sleep efficiency. After concluding the drug experiment, the effect disappeared. I have two concerns on their study. First, actigraphy cannot become a substitute for Sleep polysomnography. Actigraphy is based on an accelerometer for movement, and it does not directly reflect brain activity. They quoted one validation study with Actiwatch® (Terrill et al. 2010), but Terrill et al. mentioned that the sensitivity of detecting wakefulness during time in bed was poor. There is a cutoff value of Actiwatch® sensitivity for arriving at Sleep/wake differentiation, which is initially set at 40 counts per minute. This value was originally determined for human subjects, and the cutoff value should be set according to each test situation. Second, they prepared two concentrations of methamphetamine and the effect of methamphetamine treatment was evaluated. As an additional analysis, they calculated correlation coefficients between the intake of methamphetamine and three Sleep Parameters. Although statistical significance was observed in each relationship, the explanation rates were 0.27 or smaller. As the authors mentioned, further studies are needed to confirm the relationship. I agree with the simplicity of actigraphy to monitor Sleep, but much more trials are needed to establish validation for the application of actigraphy to small nonhuman primates. Activity monitoring and Sleep monitoring are different concepts, and special caution should be paid when inferring Sleep based on actigraphy (Terrill et al. 2010).
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Relationship between Self-rating and Polygraphic Sleep Parameters - Analysis of Compiled Data from 12 Young Japanese Adults -
Environmental health and preventive medicine, 1997Co-Authors: Tomoyuki Kawada, Kiryu Yasuo, Shosuke SuzukiAbstract:An examination of the relationship of the self-rating Sleep score to polygraphic Sleep Parameters was conducted. The self-rating Sleep questionnaire, OSA, includes five Sleep quality factors: Sleepiness (Fl), Sleep maintenance without interruption (F2), worry about daily life or poor emotional condition (F3), integrated or perceived Sleep feeling (F4) and Sleep initiation or induction (F5). Polygraphic Sleep Parameters including each Sleep stage in minutes were used. If intercorrelation coefficients exceeded 0.8, only one of the related Parameters was selected for multivariate analysis. Twelve male students slept a total of 88 nights, among which the first night was not included, in an experimental room. When absolute values of Spearman’s rank correlation coefficient of not less than 0.4 were tentatively selected, the following pairs were extracted: F2 score and S1 (-0.423) or S3+S4 (0.409), F5 score and Sleep latency (-0.439). Deeper Sleep was closely associated with Sleep maintenance without interruption. Agreement between self-rating and a polygraphic Sleep parameter was recognized between the F5 score and Sleep latency. Each OSA factor score was predicted by other polygraphic Sleep Parameters using multiple regression analysis. MT significantly contributed to the Fl, F3 and F4 scores. The number of stage shifts per night significantly contributed to the Fl and F3 scores, and the number of Sleep spindles significantly contributed to the F5 score. Though prediction of Sleep quality by polygraphic Sleep Parameters is limited, the association between concrete subjective and objective Sleep Parameters was clarified as mentioned above, and their practical meaning was partially elucidated.
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Daily Sleep changes in a noisy environment assessed by subjective and polygraphic Sleep Parameters.
Journal of Sound and Vibration, 1997Co-Authors: Tomoyuki Kawada, Y. Sasazawa, Yasuo Kiryu, Shosuke SuzukiAbstract:Abstract Habituation of Sleep to a noisy environment was investigated by self-rated Sleep scores, polygraphic Sleep Parameters, and a performance test on the following morning. The self-rated Sleep questionaire, OSA, includes five factors of subjective Sleep quality: Sleepiness, Sleep maintenance, worry, integrated Sleep feeling and Sleep initiation. The polygraphic Sleep Parameters were six Sleep stages in minutes, Sleep latency, REM latency, REM cycle, REM duration, frequency and duration in minutes of awakening during Sleep, total Sleep time, number of Sleep stage shifts, Sleep efficiency, number of Sleep spindles and density. The differences between reaction times before Sleep that night and the following morning were also examined. The subjects were twelve students aged 19 to 21 who were tested a total of 96 nights. Each subject slept in an experimental room and was exposed to recorded passing truck noise with peak levels of 45, 50, 55 and 60 dB(A) at intervals of 15 min. Significant changes were recognized in Stage 1, MT, frequency of awakening and number of Sleep stage shifts. The authors speculate that the decrease in the shallow stage as noisy nights were repeated reflects habituation of night Sleep to repeated passing truck noise, whose interval, duration and nature was constant.
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Relationship between Subjective Sleep Rating and Objective Sleep Parameters: A Case Study1
Neurobehavioral Methods and Effects in Occupational and Environmental Health, 1994Co-Authors: Tomoyuki Kawada, Shosuke Suzuki, Shigenobu Aoki, Masayuki OgawaAbstract:The subjective Sleep of a male subject was related to 22 objective polygraphic Sleep Parameters on 39 experimental nights. Subjective Sleep was rated by the Sleeper himself as “good,” “moderate,” or “poor” upon arising, for 10, 24, and 5 nights, respectively. Differences in the 22 Sleep Parameters for these three ratings were examined, and poor Sleep showed a significant increase in stage W (waking), an elongation of Sleep latency, a decrease in mean Sleep depth during the night and 2 hr after going to bed, a decrease in integrated value of Sleep depth during the night, an increase in the gradient and decrease in the intercept of regression line of Sleep depth against time, and a shortening of total Sleep time. The average delta wave percentage per epoch was greater for a subjective rating of “moderate” than for the other groups. Canonical discriminant analysis was conducted using 16 Sleep Parameters, and the overall correct identification rate of three subjective Sleep ratings by the objective Sleep Parameters was 89.7%. Variables of the first or second axis with large standard coefficients were stages 1,2, REM (rapid eye movement), integrated voltage of electromyogram, and Sleep latency. From the above two sets of analyses, Sleep latency was the most useful parameter for predicting subjective Sleep. © 1993 Academic Press, Inc.
Jelke Verwimp - One of the best experts on this subject based on the ideXlab platform.
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Correlation between Sleep Parameters, physical activity and quality of life in somnolent moderate to severe obstructive Sleep apnea adult patients
European Respiratory Journal, 2013Co-Authors: Jelke Verwimp, Lieveke Ameye, Marie BruyneelAbstract:Purpose Several symptoms are described in obstructive Sleep apnea (OSA), including excessive daytime Sleepiness, depressive mood and neurocognitive dysfunction. However, few studies examined the relationship between objective physical activity, quality of life and Sleep Parameters. The purpose of this study was to determine Sleep Parameters (evaluated by actigraphy and polysomnography), implied in the occurrence of impaired physical activity and reduced quality of life in somnolent moderate to severe OSA patients. Methods We reviewed retrospectively data of 75 somnolent moderate to severe (Apnea-Hypopnea Index>20) OSA patients. Data of 5- days actigraphy and polysomnography were analysed. They all completed the Nottingham Health Profile questionnaire (NHP). Sleep Parameters associated with physical activity and quality of life were assessed. Results Patients were mainly obese (mean BMI 36), and males (53%). Controlling for age and BMI, physical activity, expressed as number of steps walked/day, is associated with OSA severity in REM Sleep (p= 0,05). Regarding quality of life, “Sleep”,“energy” and “emotional reactions” scored highest; and patients evaluated correctly their activity impairment through the “mobility” item of NHP questionnaire. Conclusions Low level of physical activity is associated with increasing OSA severity in somnolent moderate to severe OSA patients but is not linked to subjective somnolence. These patients describe concomitantly a severely impaired quality of life in several domains, and the negative perception in the “mobility” domain is effectively related to an objective low level of physical activity.
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Correlation between Sleep Parameters, physical activity and quality of life in somnolent moderate to severe obstructive Sleep apnea adult patients
Sleep & breathing = Schlaf & Atmung, 2013Co-Authors: Jelke Verwimp, Lieveke Ameye, Marie BruyneelAbstract:Purpose Several symptoms are described in obstructive Sleep apnea (OSA), including excessive daytime Sleepiness, depressive mood and neurocognitive dysfunction. However, few studies examined the relationship between objective physical activity, quality of life and Sleep Parameters. The purpose of this study was to determine Sleep Parameters (evaluated by actigraphy and polysomnography) implied in the occurrence of impaired physical activity and reduced quality of life in somnolent moderate to severe OSA patients.
Lieveke Ameye - One of the best experts on this subject based on the ideXlab platform.
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Correlation between Sleep Parameters, physical activity and quality of life in somnolent moderate to severe obstructive Sleep apnea adult patients
European Respiratory Journal, 2013Co-Authors: Jelke Verwimp, Lieveke Ameye, Marie BruyneelAbstract:Purpose Several symptoms are described in obstructive Sleep apnea (OSA), including excessive daytime Sleepiness, depressive mood and neurocognitive dysfunction. However, few studies examined the relationship between objective physical activity, quality of life and Sleep Parameters. The purpose of this study was to determine Sleep Parameters (evaluated by actigraphy and polysomnography), implied in the occurrence of impaired physical activity and reduced quality of life in somnolent moderate to severe OSA patients. Methods We reviewed retrospectively data of 75 somnolent moderate to severe (Apnea-Hypopnea Index>20) OSA patients. Data of 5- days actigraphy and polysomnography were analysed. They all completed the Nottingham Health Profile questionnaire (NHP). Sleep Parameters associated with physical activity and quality of life were assessed. Results Patients were mainly obese (mean BMI 36), and males (53%). Controlling for age and BMI, physical activity, expressed as number of steps walked/day, is associated with OSA severity in REM Sleep (p= 0,05). Regarding quality of life, “Sleep”,“energy” and “emotional reactions” scored highest; and patients evaluated correctly their activity impairment through the “mobility” item of NHP questionnaire. Conclusions Low level of physical activity is associated with increasing OSA severity in somnolent moderate to severe OSA patients but is not linked to subjective somnolence. These patients describe concomitantly a severely impaired quality of life in several domains, and the negative perception in the “mobility” domain is effectively related to an objective low level of physical activity.
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Correlation between Sleep Parameters, physical activity and quality of life in somnolent moderate to severe obstructive Sleep apnea adult patients
Sleep & breathing = Schlaf & Atmung, 2013Co-Authors: Jelke Verwimp, Lieveke Ameye, Marie BruyneelAbstract:Purpose Several symptoms are described in obstructive Sleep apnea (OSA), including excessive daytime Sleepiness, depressive mood and neurocognitive dysfunction. However, few studies examined the relationship between objective physical activity, quality of life and Sleep Parameters. The purpose of this study was to determine Sleep Parameters (evaluated by actigraphy and polysomnography) implied in the occurrence of impaired physical activity and reduced quality of life in somnolent moderate to severe OSA patients.
Shosuke Suzuki - One of the best experts on this subject based on the ideXlab platform.
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Relationship between Self-rating and Polygraphic Sleep Parameters - Analysis of Compiled Data from 12 Young Japanese Adults -
Environmental health and preventive medicine, 1997Co-Authors: Tomoyuki Kawada, Kiryu Yasuo, Shosuke SuzukiAbstract:An examination of the relationship of the self-rating Sleep score to polygraphic Sleep Parameters was conducted. The self-rating Sleep questionnaire, OSA, includes five Sleep quality factors: Sleepiness (Fl), Sleep maintenance without interruption (F2), worry about daily life or poor emotional condition (F3), integrated or perceived Sleep feeling (F4) and Sleep initiation or induction (F5). Polygraphic Sleep Parameters including each Sleep stage in minutes were used. If intercorrelation coefficients exceeded 0.8, only one of the related Parameters was selected for multivariate analysis. Twelve male students slept a total of 88 nights, among which the first night was not included, in an experimental room. When absolute values of Spearman’s rank correlation coefficient of not less than 0.4 were tentatively selected, the following pairs were extracted: F2 score and S1 (-0.423) or S3+S4 (0.409), F5 score and Sleep latency (-0.439). Deeper Sleep was closely associated with Sleep maintenance without interruption. Agreement between self-rating and a polygraphic Sleep parameter was recognized between the F5 score and Sleep latency. Each OSA factor score was predicted by other polygraphic Sleep Parameters using multiple regression analysis. MT significantly contributed to the Fl, F3 and F4 scores. The number of stage shifts per night significantly contributed to the Fl and F3 scores, and the number of Sleep spindles significantly contributed to the F5 score. Though prediction of Sleep quality by polygraphic Sleep Parameters is limited, the association between concrete subjective and objective Sleep Parameters was clarified as mentioned above, and their practical meaning was partially elucidated.
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Daily Sleep changes in a noisy environment assessed by subjective and polygraphic Sleep Parameters.
Journal of Sound and Vibration, 1997Co-Authors: Tomoyuki Kawada, Y. Sasazawa, Yasuo Kiryu, Shosuke SuzukiAbstract:Abstract Habituation of Sleep to a noisy environment was investigated by self-rated Sleep scores, polygraphic Sleep Parameters, and a performance test on the following morning. The self-rated Sleep questionaire, OSA, includes five factors of subjective Sleep quality: Sleepiness, Sleep maintenance, worry, integrated Sleep feeling and Sleep initiation. The polygraphic Sleep Parameters were six Sleep stages in minutes, Sleep latency, REM latency, REM cycle, REM duration, frequency and duration in minutes of awakening during Sleep, total Sleep time, number of Sleep stage shifts, Sleep efficiency, number of Sleep spindles and density. The differences between reaction times before Sleep that night and the following morning were also examined. The subjects were twelve students aged 19 to 21 who were tested a total of 96 nights. Each subject slept in an experimental room and was exposed to recorded passing truck noise with peak levels of 45, 50, 55 and 60 dB(A) at intervals of 15 min. Significant changes were recognized in Stage 1, MT, frequency of awakening and number of Sleep stage shifts. The authors speculate that the decrease in the shallow stage as noisy nights were repeated reflects habituation of night Sleep to repeated passing truck noise, whose interval, duration and nature was constant.
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Relationship between Subjective Sleep Rating and Objective Sleep Parameters: A Case Study1
Neurobehavioral Methods and Effects in Occupational and Environmental Health, 1994Co-Authors: Tomoyuki Kawada, Shosuke Suzuki, Shigenobu Aoki, Masayuki OgawaAbstract:The subjective Sleep of a male subject was related to 22 objective polygraphic Sleep Parameters on 39 experimental nights. Subjective Sleep was rated by the Sleeper himself as “good,” “moderate,” or “poor” upon arising, for 10, 24, and 5 nights, respectively. Differences in the 22 Sleep Parameters for these three ratings were examined, and poor Sleep showed a significant increase in stage W (waking), an elongation of Sleep latency, a decrease in mean Sleep depth during the night and 2 hr after going to bed, a decrease in integrated value of Sleep depth during the night, an increase in the gradient and decrease in the intercept of regression line of Sleep depth against time, and a shortening of total Sleep time. The average delta wave percentage per epoch was greater for a subjective rating of “moderate” than for the other groups. Canonical discriminant analysis was conducted using 16 Sleep Parameters, and the overall correct identification rate of three subjective Sleep ratings by the objective Sleep Parameters was 89.7%. Variables of the first or second axis with large standard coefficients were stages 1,2, REM (rapid eye movement), integrated voltage of electromyogram, and Sleep latency. From the above two sets of analyses, Sleep latency was the most useful parameter for predicting subjective Sleep. © 1993 Academic Press, Inc.
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Relationship between subjective Sleep rating and objective Sleep Parameters: a case study.
Environmental research, 1993Co-Authors: Tomoyuki Kawada, Shosuke Suzuki, Shigenobu Aoki, Masayuki OgawaAbstract:The subjective Sleep of a male subject was related to 22 objective polygraphic Sleep Parameters on 39 experimental nights. Subjective Sleep was rated by the Sleeper himself as "good," "moderate," or "poor" upon arising, for 10, 24, and 5 nights, respectively. Differences in the 22 Sleep Parameters for these three ratings were examined, and poor Sleep showed a significant increase in stage W (waking), an elongation of Sleep latency, a decrease in mean Sleep depth during the night and 2 hr after going to bed, a decrease in integrated value of Sleep depth during the night, an increase in the gradient and decrease in the intercept of regression line of Sleep depth against time, and a shortening of total Sleep time. The average delta wave percentage per epoch was greater for a subjective rating of "moderate" than for the other groups. Canonical discriminant analysis was conducted using 16 Sleep Parameters, and the overall correct identification rate of three subjective Sleep ratings by the objective Sleep Parameters was 89.7%. Variables of the first or second axis with large standard coefficients were stages 1, 2, REM (rapid eye movement), integrated voltage of electromyogram, and Sleep latency. From the above two sets of analyses, Sleep latency was the most useful parameter for predicting subjective Sleep.
