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Tadej Battelino - One of the best experts on this subject based on the ideXlab platform.
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motor activity during asymptomatic nocturnal hypoglycemia in adolescents with type 1 diabetes mellitus
Acta Diabetologica, 2004Co-Authors: I Radan, E Rajer, Ursic N Bratina, David Neubauer, Ciril Kržisnik, Tadej BattelinoAbstract:Nocturnal hypoglycemia is reported in 13%–56% of adolescents with type 1 diabetes mellitus. It may be asymptomatic in more than 50% of patients. No noninvasive method for detecting asymptomatic nocturnal hypoglycemia (ANH) has so far proven successful. The aim of the present study was to evaluate quantitative changes of motor activity by Actigraphy during episodes of ANH in adolescents with type 1 diabetes mellitus. A total of 18 patients aged 10–16 years with a history of ANH were investigated. Blood was sampled at half-hourly intervals between 22.30 and 06.00 hours with a micropump, and an Actigraph was fastened to the right wrist. Blood glucose concentrations were measured and compared to motor activity. Nocturnal hypoglycemia was recorded in 10 patients (55%), with blood glucose during periods of hypoglycemia of 3.00+0.17 mmol/l (range, 1.2–3.4 mmol/l), and duration of hypoglycemia of 1.95+1.34 hours (range, 0.5–5.0 hours). All periods of hypoglycemia were clinically asymptomatic. Regression analysis revealed a statistically significant linear correlation (p=0.03) between blood glucose concentration and the respective 30-min activity counts. Activity counts in patients with nocturnal hypoglycemia were significantly (ANOVA, p<0.02) higher than in patients with normoglycemia. We conclude that low blood glucose was significantly correlated with an increase in motor activity as detected by Actigraphy. This implies the possibility of noninvasive screening of asymptomatic nocturnal hypoglycemia.
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Motor activity during asymptomatic nocturnal hypoglycemia in adolescents with type 1 diabetes mellitus
Acta Diabetologica, 2004Co-Authors: I Radan, E Rajer, David Neubauer, Ciril Kržisnik, N. Uršič Bratina, Tadej BattelinoAbstract:Nocturnal hypoglycemia is reported in 13%–56% of adolescents with type 1 diabetes mellitus. It may be asymptomatic in more than 50% of patients. No noninvasive method for detecting asymptomatic nocturnal hypoglycemia (ANH) has so far proven successful. The aim of the present study was to evaluate quantitative changes of motor activity by Actigraphy during episodes of ANH in adolescents with type 1 diabetes mellitus. A total of 18 patients aged 10–16 years with a history of ANH were investigated. Blood was sampled at half-hourly intervals between 22.30 and 06.00 hours with a micropump, and an Actigraph was fastened to the right wrist. Blood glucose concentrations were measured and compared to motor activity. Nocturnal hypoglycemia was recorded in 10 patients (55%), with blood glucose during periods of hypoglycemia of 3.00+0.17 mmol/l (range, 1.2–3.4 mmol/l), and duration of hypoglycemia of 1.95+1.34 hours (range, 0.5–5.0 hours). All periods of hypoglycemia were clinically asymptomatic. Regression analysis revealed a statistically significant linear correlation ( p =0.03) between blood glucose concentration and the respective 30-min activity counts. Activity counts in patients with nocturnal hypoglycemia were significantly (ANOVA, p
Peter Hauri - One of the best experts on this subject based on the ideXlab platform.
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Actigraphic assessment of sleep in insomnia: application of the Actigraph Data Analysis Software (ADAS).
Physiology & behavior, 1999Co-Authors: Girardin Jean-louis, Ferdinand Zizi, Hans Von Gizycki, Peter HauriAbstract:The usefulness of the Actigraph methodology has been demonstrated in normal individuals. However, the validity of Actigraphy has been questioned in insomnia patients because of the considerable measurement error that has been reported between Actigraphy (ACT) and polysomnography (PSG). Two independent investigations have reported errors of 48 and 49 min in total sleep time between ACT and PSG. With a new scoring method called the Actigraph Data Analysis Software, a reanalysis of one of these studies was conducted. Based on this reanalysis, we have obtained a measurement error of only 25 min between the two methods. This finding may be an indication of the advantage of this new scoring method. A strong correlation coefficient (r = 0.82, p < 0.0001) was noted between ACT and PSG for total sleep time, thus suggesting a high degree of accuracy of the Actigraph methodology in assessing the sleep/wake profile of insomniacs.
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Actigraphic assessment of sleep in insomnia: application of the Actigraph Data Analysis Software (ADAS).
Physiology & Behavior, 1998Co-Authors: Girardin Jean-louis, Ferdinand Zizi, Hans Von Gizycki, Peter HauriAbstract:Abstract JEAN-LOUIS, G., F. ZIZI, H. VON GIZYCKI AND P. HAURI. Actigraphic Assessment of Sleep in Insomnia: Application of The Actigraph Data Analysis Software (ADAS) . PHARMACOL BIOCHEM BEHAV 65 (4/5)659–663, 1998.—The usefulness of the Actigraph methodology has been demonstrated in normal individuals. However, the validity of Actigraphy has been questioned in insomnia patients because of the considerable measurement error that has been reported between Actigraphy (ACT) and polysomnography (PSG). Two independent investigations have reported errors of 48 and 49 min in total sleep time between ACT and PSG. With a new scoring method called the Actigraph Data Analysis Software, a reanalysis of one of these studies was conducted. Based on this reanalysis, we have obtained a measurement error of only 25 min between the two methods. This finding may be an indication of the advantage of this new scoring method. A strong correlation coefficient (r = 0.82, p
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THE Actigraph DATA ANALYSIS SOFTWARE: I. A NOVEL APPROACH TO SCORING AND INTERPRETING SLEEP-WAKE ACTIVITY
Perceptual and Motor Skills, 1997Co-Authors: Girardin Jean-louis, Ferdinand Zizi, Hans Von Gizycki, Arthur J. Spielman, Peter Hauri, Harvey B. TaubAbstract:Decades of empirical observations have established the validity of Actigraphy primarily in individuals without sleep disorders. Methodological problems encountered thus far coupled with the widespread use of Actigraphy signal the need for concentrated efforts to establish a consensus regarding scoring procedures. Currently available scoring methods show less reliability in clinical populations. To address these issues two validation studies were conducted: one for individuals without sleep disorders and the other for patients diagnosed with insomnia. The results of these two studies using the Actigraph Data Analysis Software as the scoring method have shown that the described system is fairly precise. It can be used for Actigraphs with different features and mode of operation and is applicable to individuals with insomnia. These findings corroborate previous research showing that Actigraphy is a valid instrument for assessment of sleep and wakefulness.
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The Actigraph data analysis software: II. A novel approach to scoring and interpreting sleep-wake activity.
Perceptual and motor skills, 1997Co-Authors: Girardin Jean-louis, Ferdinand Zizi, Peter Hauri, H Von Gizycki, A Spielman, H TaubAbstract:The widespread use of Actigraphy has led to the recognition that a number of methodological issues have to be addressed to facilitate an increased acceptability of this relatively new method. These methodological issues include Actigraph placement, reliability, and sensitivity, and the phenomenon known as the "first night effect." Our findings have demonstrated that Actigraphy is a reliable instrument for assessment of sleep and wakefulness. In addition, Actigraph placement and reliability do not constitute a significant methodological problem as no differences were found in all of these studies. We have also observed no first-night effects associated with sleep-wake monitoring with Actigraphy.
I Radan - One of the best experts on this subject based on the ideXlab platform.
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motor activity during asymptomatic nocturnal hypoglycemia in adolescents with type 1 diabetes mellitus
Acta Diabetologica, 2004Co-Authors: I Radan, E Rajer, Ursic N Bratina, David Neubauer, Ciril Kržisnik, Tadej BattelinoAbstract:Nocturnal hypoglycemia is reported in 13%–56% of adolescents with type 1 diabetes mellitus. It may be asymptomatic in more than 50% of patients. No noninvasive method for detecting asymptomatic nocturnal hypoglycemia (ANH) has so far proven successful. The aim of the present study was to evaluate quantitative changes of motor activity by Actigraphy during episodes of ANH in adolescents with type 1 diabetes mellitus. A total of 18 patients aged 10–16 years with a history of ANH were investigated. Blood was sampled at half-hourly intervals between 22.30 and 06.00 hours with a micropump, and an Actigraph was fastened to the right wrist. Blood glucose concentrations were measured and compared to motor activity. Nocturnal hypoglycemia was recorded in 10 patients (55%), with blood glucose during periods of hypoglycemia of 3.00+0.17 mmol/l (range, 1.2–3.4 mmol/l), and duration of hypoglycemia of 1.95+1.34 hours (range, 0.5–5.0 hours). All periods of hypoglycemia were clinically asymptomatic. Regression analysis revealed a statistically significant linear correlation (p=0.03) between blood glucose concentration and the respective 30-min activity counts. Activity counts in patients with nocturnal hypoglycemia were significantly (ANOVA, p<0.02) higher than in patients with normoglycemia. We conclude that low blood glucose was significantly correlated with an increase in motor activity as detected by Actigraphy. This implies the possibility of noninvasive screening of asymptomatic nocturnal hypoglycemia.
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Motor activity during asymptomatic nocturnal hypoglycemia in adolescents with type 1 diabetes mellitus
Acta Diabetologica, 2004Co-Authors: I Radan, E Rajer, David Neubauer, Ciril Kržisnik, N. Uršič Bratina, Tadej BattelinoAbstract:Nocturnal hypoglycemia is reported in 13%–56% of adolescents with type 1 diabetes mellitus. It may be asymptomatic in more than 50% of patients. No noninvasive method for detecting asymptomatic nocturnal hypoglycemia (ANH) has so far proven successful. The aim of the present study was to evaluate quantitative changes of motor activity by Actigraphy during episodes of ANH in adolescents with type 1 diabetes mellitus. A total of 18 patients aged 10–16 years with a history of ANH were investigated. Blood was sampled at half-hourly intervals between 22.30 and 06.00 hours with a micropump, and an Actigraph was fastened to the right wrist. Blood glucose concentrations were measured and compared to motor activity. Nocturnal hypoglycemia was recorded in 10 patients (55%), with blood glucose during periods of hypoglycemia of 3.00+0.17 mmol/l (range, 1.2–3.4 mmol/l), and duration of hypoglycemia of 1.95+1.34 hours (range, 0.5–5.0 hours). All periods of hypoglycemia were clinically asymptomatic. Regression analysis revealed a statistically significant linear correlation ( p =0.03) between blood glucose concentration and the respective 30-min activity counts. Activity counts in patients with nocturnal hypoglycemia were significantly (ANOVA, p
Girardin Jean-louis - One of the best experts on this subject based on the ideXlab platform.
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Actigraphic assessment of sleep in insomnia: application of the Actigraph Data Analysis Software (ADAS).
Physiology & behavior, 1999Co-Authors: Girardin Jean-louis, Ferdinand Zizi, Hans Von Gizycki, Peter HauriAbstract:The usefulness of the Actigraph methodology has been demonstrated in normal individuals. However, the validity of Actigraphy has been questioned in insomnia patients because of the considerable measurement error that has been reported between Actigraphy (ACT) and polysomnography (PSG). Two independent investigations have reported errors of 48 and 49 min in total sleep time between ACT and PSG. With a new scoring method called the Actigraph Data Analysis Software, a reanalysis of one of these studies was conducted. Based on this reanalysis, we have obtained a measurement error of only 25 min between the two methods. This finding may be an indication of the advantage of this new scoring method. A strong correlation coefficient (r = 0.82, p < 0.0001) was noted between ACT and PSG for total sleep time, thus suggesting a high degree of accuracy of the Actigraph methodology in assessing the sleep/wake profile of insomniacs.
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Actigraphic assessment of sleep in insomnia: application of the Actigraph Data Analysis Software (ADAS).
Physiology & Behavior, 1998Co-Authors: Girardin Jean-louis, Ferdinand Zizi, Hans Von Gizycki, Peter HauriAbstract:Abstract JEAN-LOUIS, G., F. ZIZI, H. VON GIZYCKI AND P. HAURI. Actigraphic Assessment of Sleep in Insomnia: Application of The Actigraph Data Analysis Software (ADAS) . PHARMACOL BIOCHEM BEHAV 65 (4/5)659–663, 1998.—The usefulness of the Actigraph methodology has been demonstrated in normal individuals. However, the validity of Actigraphy has been questioned in insomnia patients because of the considerable measurement error that has been reported between Actigraphy (ACT) and polysomnography (PSG). Two independent investigations have reported errors of 48 and 49 min in total sleep time between ACT and PSG. With a new scoring method called the Actigraph Data Analysis Software, a reanalysis of one of these studies was conducted. Based on this reanalysis, we have obtained a measurement error of only 25 min between the two methods. This finding may be an indication of the advantage of this new scoring method. A strong correlation coefficient (r = 0.82, p
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THE Actigraph DATA ANALYSIS SOFTWARE: I. A NOVEL APPROACH TO SCORING AND INTERPRETING SLEEP-WAKE ACTIVITY
Perceptual and Motor Skills, 1997Co-Authors: Girardin Jean-louis, Ferdinand Zizi, Hans Von Gizycki, Arthur J. Spielman, Peter Hauri, Harvey B. TaubAbstract:Decades of empirical observations have established the validity of Actigraphy primarily in individuals without sleep disorders. Methodological problems encountered thus far coupled with the widespread use of Actigraphy signal the need for concentrated efforts to establish a consensus regarding scoring procedures. Currently available scoring methods show less reliability in clinical populations. To address these issues two validation studies were conducted: one for individuals without sleep disorders and the other for patients diagnosed with insomnia. The results of these two studies using the Actigraph Data Analysis Software as the scoring method have shown that the described system is fairly precise. It can be used for Actigraphs with different features and mode of operation and is applicable to individuals with insomnia. These findings corroborate previous research showing that Actigraphy is a valid instrument for assessment of sleep and wakefulness.
-
The Actigraph data analysis software: II. A novel approach to scoring and interpreting sleep-wake activity.
Perceptual and motor skills, 1997Co-Authors: Girardin Jean-louis, Ferdinand Zizi, Peter Hauri, H Von Gizycki, A Spielman, H TaubAbstract:The widespread use of Actigraphy has led to the recognition that a number of methodological issues have to be addressed to facilitate an increased acceptability of this relatively new method. These methodological issues include Actigraph placement, reliability, and sensitivity, and the phenomenon known as the "first night effect." Our findings have demonstrated that Actigraphy is a reliable instrument for assessment of sleep and wakefulness. In addition, Actigraph placement and reliability do not constitute a significant methodological problem as no differences were found in all of these studies. We have also observed no first-night effects associated with sleep-wake monitoring with Actigraphy.
Sofus C. Larsen - One of the best experts on this subject based on the ideXlab platform.
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Estimating physical activity and sedentary behaviour in a free-living environment: A comparative study between Fitbit Charge 2 and Actigraph GT3X
PloS one, 2020Co-Authors: Marie Louise K. Mikkelsen, Gabriele Berg-beckhoff, Peder Frederiksen, G Horgan, Ruairi O'driscoll, Antonio L. Palmeira, Sarah Scott, James Stubbs, Berit L. Heitmann, Sofus C. LarsenAbstract:Background: Activity trackers such as the Fitbit Charge 2 enable users and researchers to monitor physical activity in daily life, which could be beneficial for changing behaviour. However, the accuracy of the Fitbit Charge 2 in a free-living environment is largely unknown. Objective: To investigate the agreement between Fitbit Charge 2 and Actigraph GT3X for the estimation of steps, energy expenditure, time in sedentary behaviour, and light and moderate-to-vigorous physical activity under free-living conditions, and further examine to what extent placing the Actigraph on the wrist as opposed to the hip would affect the findings. Methods: 41 adults (n = 10 males, n = 31 females) were asked to wear a Fitbit Charge 2 device and two Actigraph GT3X devices (one on the hip and one on the wrist) for seven consecutive days and fill out a log of wear times. Agreement was assessed through Bland-Altman plots combined with multilevel analysis. Results: The Fitbit measured 1,492 steps/day more than the hip-worn Actigraph (limits of agreement [LoA] = -2,250; 5,234), while for sedentary time, it measured 25 min/day less (LoA = -137; 87). Both Bland-Altman plots showed fixed bias. For time in light physical activity, the Fitbit measured 59 min/day more (LoA = -52;169). For time in moderate-to-vigorous physical activity, the Fitbit measured 31 min/day less (LoA = -132; 71) and for activity energy expenditure it measured 408 kcal/day more than the hip-worn Actigraph (LoA = -385; 1,200). For the two latter outputs, the plots indicated proportional bias. Similar or more pronounced discrepancies, mostly in opposite direction, appeared when comparing to the wrist-worn Actigraph. Conclusion: Moderate to substantial differences between devices were found for most outputs, which could be due to differences in algorithms. Caution should be taken if replacing one device with another and when comparing results.
