Pub Date : 2024-03-29DOI: 10.1093/sleepadvances/zpae019
C. Gaskin, C. Venegas Hargous, Lena D Stephens, Gunchmaa Nyam, Victoria Brown, Natalie Lander, Serene Yoong, B. Morrissey, Steven Allender, Claudia Strugnell
Insufficient sleep is common among children and adolescents and can contribute to poor health. School-based interventions potentially could improve sleep behaviour due to their broad reach, but their effectiveness is unclear. This systematic review focused on the effects of school-based interventions on sleep behaviour among children and adolescents aged 5 to 18 years. Five electronic databases were searched for randomised controlled trials of sleep health interventions initiated or conducted in school settings and in which behavioural sleep outcomes were measured. Cochrane risk of bias tools were used to assess study quality. From the 5,303 database records and two papers from other sources, 21 studies (22 papers) met the inclusion criteria for this review. These studies involved 10,867 children and adolescents at baseline from 13 countries. Most studies (n=15) were conducted in secondary schools. Sleep education was the most common intervention, either alone (n=13 studies) or combined with other initiatives (stress management training, n=2; bright light therapy, n=1; health education, n=1). Interventions were typically brief in terms of both the intervention period (median=4 weeks) and exposure (median=200 minutes). Behavioural outcomes included actigraphy-measured and self-reported sleep patterns, and sleep hygiene. All outcomes had high risk of bias or some concerns with bias. Sleep education interventions were typically ineffective. Later school start times promoted longer sleep duration over 1 week (1 study, high risk of bias). Current evidence does not provide school-based solutions for improving sleep health, perhaps highlighting a need for complex, multi-component interventions (e.g., whole-of-school approaches) to be trialled.
{"title":"Sleep behavioural outcomes of school-based interventions for promoting sleep health in children and adolescents aged 5 to 18 years: A systematic review","authors":"C. Gaskin, C. Venegas Hargous, Lena D Stephens, Gunchmaa Nyam, Victoria Brown, Natalie Lander, Serene Yoong, B. Morrissey, Steven Allender, Claudia Strugnell","doi":"10.1093/sleepadvances/zpae019","DOIUrl":"https://doi.org/10.1093/sleepadvances/zpae019","url":null,"abstract":"\u0000 \u0000 \u0000 Insufficient sleep is common among children and adolescents and can contribute to poor health. School-based interventions potentially could improve sleep behaviour due to their broad reach, but their effectiveness is unclear. This systematic review focused on the effects of school-based interventions on sleep behaviour among children and adolescents aged 5 to 18 years.\u0000 \u0000 \u0000 \u0000 Five electronic databases were searched for randomised controlled trials of sleep health interventions initiated or conducted in school settings and in which behavioural sleep outcomes were measured. Cochrane risk of bias tools were used to assess study quality.\u0000 \u0000 \u0000 \u0000 From the 5,303 database records and two papers from other sources, 21 studies (22 papers) met the inclusion criteria for this review. These studies involved 10,867 children and adolescents at baseline from 13 countries. Most studies (n=15) were conducted in secondary schools. Sleep education was the most common intervention, either alone (n=13 studies) or combined with other initiatives (stress management training, n=2; bright light therapy, n=1; health education, n=1). Interventions were typically brief in terms of both the intervention period (median=4 weeks) and exposure (median=200 minutes). Behavioural outcomes included actigraphy-measured and self-reported sleep patterns, and sleep hygiene. All outcomes had high risk of bias or some concerns with bias. Sleep education interventions were typically ineffective. Later school start times promoted longer sleep duration over 1 week (1 study, high risk of bias).\u0000 \u0000 \u0000 \u0000 Current evidence does not provide school-based solutions for improving sleep health, perhaps highlighting a need for complex, multi-component interventions (e.g., whole-of-school approaches) to be trialled.\u0000","PeriodicalId":21861,"journal":{"name":"SLEEP Advances","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140366919","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-13DOI: 10.1093/sleepadvances/zpae016
Yizhong Zheng, Brendon J. Yee, Keith Wong, R. Grunstein, Amanda Piper
Symptom burden and neurocognitive function have not been previous compared between patients with obesity-associated hypoventilation disorders (obesity hypoventilation syndrome, OHS) and hypoventilation in the setting of obesity and obstructive airways disease (OHAD). The aim of this study is to compare baseline sleep-related symptoms, health-related quality of life and neurocognitive function between OHS and OHAD and the impact of PAP therapy on these outcomes. ESS, PSQI, SF36, and various neurocognitive tests, in addition to anthropometric, polysomnography, lung function and blood gas data from participants with OHS and participants with OHAD, were included in the analysis. This data was originally collected in their respective randomised clinical trials, comparing the efficacy of different PAP modes (bilevel PAP versus CPAP) in resolving hypercapnia. Between groups (OHS vs OHAD), pre- and post-treatment (with 3 months of positive airway pressure) comparisons were made using linear mixed modelling. 45 OHS participants (mean age 51yo, 33% female, BMI 52kg/m2, FER 0.81, PaCO2 54mmHg, AHI 87/hr) and 32 OHAD participants (mean age 61yo, 31% female, BMI 43kg/m2, FER 0.60, PaCO2 54mmHg, AHI 59/hr) were included in the analysis. Both OHS and OHAD had similar baseline ESS (14(5.6) vs. 12(5.4)), Global PSQI (10(3.2) vs 11(4.8)), SF36 and neurocognitive test performances (other than OHAD had lower digit symbol substitution test performance). Treatment with PAP therapy resulted in similar ESS, Global PSQI, and SF36 improvements in both groups. Neurocognitive performance did not significantly improve after PAP therapy in either group. The symptom burden between two separate hypoventilation disorders (OHS and OHAD), in terms of sleepiness, sleep quality, quality of life and cognitive function, were similar. OHS and OHAD had similar treatment responses in these parameters after 3 months of PAP therapy.
{"title":"A comparison of two obesity-related hypoventilation disorders – impact on sleep, quality of life and neurocognitive outcomes and the effects of PAP therapy","authors":"Yizhong Zheng, Brendon J. Yee, Keith Wong, R. Grunstein, Amanda Piper","doi":"10.1093/sleepadvances/zpae016","DOIUrl":"https://doi.org/10.1093/sleepadvances/zpae016","url":null,"abstract":"\u0000 \u0000 \u0000 Symptom burden and neurocognitive function have not been previous compared between patients with obesity-associated hypoventilation disorders (obesity hypoventilation syndrome, OHS) and hypoventilation in the setting of obesity and obstructive airways disease (OHAD). The aim of this study is to compare baseline sleep-related symptoms, health-related quality of life and neurocognitive function between OHS and OHAD and the impact of PAP therapy on these outcomes.\u0000 \u0000 \u0000 \u0000 ESS, PSQI, SF36, and various neurocognitive tests, in addition to anthropometric, polysomnography, lung function and blood gas data from participants with OHS and participants with OHAD, were included in the analysis. This data was originally collected in their respective randomised clinical trials, comparing the efficacy of different PAP modes (bilevel PAP versus CPAP) in resolving hypercapnia. Between groups (OHS vs OHAD), pre- and post-treatment (with 3 months of positive airway pressure) comparisons were made using linear mixed modelling.\u0000 \u0000 \u0000 \u0000 45 OHS participants (mean age 51yo, 33% female, BMI 52kg/m2, FER 0.81, PaCO2 54mmHg, AHI 87/hr) and 32 OHAD participants (mean age 61yo, 31% female, BMI 43kg/m2, FER 0.60, PaCO2 54mmHg, AHI 59/hr) were included in the analysis. Both OHS and OHAD had similar baseline ESS (14(5.6) vs. 12(5.4)), Global PSQI (10(3.2) vs 11(4.8)), SF36 and neurocognitive test performances (other than OHAD had lower digit symbol substitution test performance). Treatment with PAP therapy resulted in similar ESS, Global PSQI, and SF36 improvements in both groups. Neurocognitive performance did not significantly improve after PAP therapy in either group.\u0000 \u0000 \u0000 \u0000 The symptom burden between two separate hypoventilation disorders (OHS and OHAD), in terms of sleepiness, sleep quality, quality of life and cognitive function, were similar. OHS and OHAD had similar treatment responses in these parameters after 3 months of PAP therapy.\u0000","PeriodicalId":21861,"journal":{"name":"SLEEP Advances","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140245352","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-07DOI: 10.1093/sleepadvances/zpae013
E. Touchette, Gabrielle Fréchette-Boilard, D. Petit, M. Geoffroy, Marie-Hélène Pennestri, Sylvana Côté, Richard E Tremblay, A. Petitclerc, Michel Boivin, Jacques Montplaisir
To investigate whether childhood sleep trajectories are associated with mental health symptoms such as social phobia, generalized anxiety, depression, ADHD, conduct problems and opposition at age 15. A total of 2120 children took part in the Quebec Longitudinal Study of Child Development. Childhood sleep trajectories were computed from maternal reports at 2.5, 3.5, 4, 6, 8, 10 and/or 12 years. At age 15, 1446 adolescents filled out mental health and sleep questions. A path analysis model was assessed in the full sample. Four childhood nocturnal sleep duration trajectories were identified: 1) a short pattern (7.5%), 2) a short-increasing pattern (5.8%), 3) a 10h pattern (50.7%) and 4) an 11h pattern (36.0%). Three childhood sleep latency trajectories were found: 1) a short pattern (31.7%), 2) an intermediate pattern (59.9%) and 3) a long pattern (8.4%). Finally, two childhood wakefulness after sleep onset trajectories were found: 1) a normative pattern (73.0%) and 2) a long pattern (27.0%). The path analysis model indicated that children following a long childhood sleep latency trajectory were more likely to experience symptoms of depression (β = 0.06, 95% CI: 0.01 to 0.12), ADHD (β = 0.07, 95% CI: 0.02 to 0.13), conduct problems (β = 0.05, 95% CI: 0.00 to 0.10) and opposition (β = 0.08, 95% CI: 0.02 to 0.13) at age 15. This longitudinal study revealed that children presenting a long sleep latency throughout childhood are at greater risk of symptoms of depression, ADHD, conduct problems and opposition in adolescence.
{"title":"Longitudinal study of childhood sleep trajectories and adolescent mental health problems","authors":"E. Touchette, Gabrielle Fréchette-Boilard, D. Petit, M. Geoffroy, Marie-Hélène Pennestri, Sylvana Côté, Richard E Tremblay, A. Petitclerc, Michel Boivin, Jacques Montplaisir","doi":"10.1093/sleepadvances/zpae013","DOIUrl":"https://doi.org/10.1093/sleepadvances/zpae013","url":null,"abstract":"\u0000 \u0000 \u0000 To investigate whether childhood sleep trajectories are associated with mental health symptoms such as social phobia, generalized anxiety, depression, ADHD, conduct problems and opposition at age 15.\u0000 \u0000 \u0000 \u0000 A total of 2120 children took part in the Quebec Longitudinal Study of Child Development. Childhood sleep trajectories were computed from maternal reports at 2.5, 3.5, 4, 6, 8, 10 and/or 12 years. At age 15, 1446 adolescents filled out mental health and sleep questions. A path analysis model was assessed in the full sample.\u0000 \u0000 \u0000 \u0000 Four childhood nocturnal sleep duration trajectories were identified: 1) a short pattern (7.5%), 2) a short-increasing pattern (5.8%), 3) a 10h pattern (50.7%) and 4) an 11h pattern (36.0%). Three childhood sleep latency trajectories were found: 1) a short pattern (31.7%), 2) an intermediate pattern (59.9%) and 3) a long pattern (8.4%). Finally, two childhood wakefulness after sleep onset trajectories were found: 1) a normative pattern (73.0%) and 2) a long pattern (27.0%). The path analysis model indicated that children following a long childhood sleep latency trajectory were more likely to experience symptoms of depression (β = 0.06, 95% CI: 0.01 to 0.12), ADHD (β = 0.07, 95% CI: 0.02 to 0.13), conduct problems (β = 0.05, 95% CI: 0.00 to 0.10) and opposition (β = 0.08, 95% CI: 0.02 to 0.13) at age 15.\u0000 \u0000 \u0000 \u0000 This longitudinal study revealed that children presenting a long sleep latency throughout childhood are at greater risk of symptoms of depression, ADHD, conduct problems and opposition in adolescence.\u0000","PeriodicalId":21861,"journal":{"name":"SLEEP Advances","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140259992","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-07DOI: 10.1093/sleepadvances/zpae010
L. Barger, Yuan Zhang, Heidi M Lammers-van der Holst, Davina Snoep, Audra S Murphy, B. Desnoyers, Jeanne F Duffy
To explore the feasibility, effectiveness, and acceptability of an afternoon-evening sleep schedule in older (age 50-65 years) nightshift workers. We used a 3-part strategy: a screening survey to identify individuals who said they could adopt an 8-hour afternoon-evening sleep schedule; a field study where daily diary and actigraphy data were collected during a baseline week and intervention week, with randomization to self-selected sleep, 8-hour afternoon-evening time in bed (TIB), or 8 hour self-selected TIB; and follow-up focus groups to understand the acceptability of the intervention. Gender (p<0.001), Hispanic ethnicity (p=0.023), the care of children (p=0.014), and chronotype (p=0.012), predicted the reported ability to spend 8 hours in bed in the afternoon-evening. Participants assigned to the 8-hour self-selected and 8-hour afternoon-evening groups significantly increased their TIB and sleep duration compared to baseline (p<0.05), while the control group did not. Although spending 8 hours in bed was feasible for the participants during the study, focus group discussions indicated participants would not continue an 8 hour TIB schedule after the study due to family responsibilities and other activities of daily living. Spending 8 hours in bed between successive night shifts, initiated at both a self-selected time and in the afternoon-evening, increased the sleep duration of older shiftworkers, but most would not continue such a schedule on their own. Additional research is needed to find countermeasures for the reduced sleep duration experienced by most shiftworkers that are not only effective, but also compatible with shiftworkers’ lifestyles.
{"title":"Feasibility, Effectiveness and Acceptability of an Afternoon-Evening Sleep Schedule in Older Nightshift Workers","authors":"L. Barger, Yuan Zhang, Heidi M Lammers-van der Holst, Davina Snoep, Audra S Murphy, B. Desnoyers, Jeanne F Duffy","doi":"10.1093/sleepadvances/zpae010","DOIUrl":"https://doi.org/10.1093/sleepadvances/zpae010","url":null,"abstract":"\u0000 \u0000 \u0000 To explore the feasibility, effectiveness, and acceptability of an afternoon-evening sleep schedule in older (age 50-65 years) nightshift workers.\u0000 \u0000 \u0000 \u0000 We used a 3-part strategy: a screening survey to identify individuals who said they could adopt an 8-hour afternoon-evening sleep schedule; a field study where daily diary and actigraphy data were collected during a baseline week and intervention week, with randomization to self-selected sleep, 8-hour afternoon-evening time in bed (TIB), or 8 hour self-selected TIB; and follow-up focus groups to understand the acceptability of the intervention.\u0000 \u0000 \u0000 \u0000 Gender (p<0.001), Hispanic ethnicity (p=0.023), the care of children (p=0.014), and chronotype (p=0.012), predicted the reported ability to spend 8 hours in bed in the afternoon-evening. Participants assigned to the 8-hour self-selected and 8-hour afternoon-evening groups significantly increased their TIB and sleep duration compared to baseline (p<0.05), while the control group did not. Although spending 8 hours in bed was feasible for the participants during the study, focus group discussions indicated participants would not continue an 8 hour TIB schedule after the study due to family responsibilities and other activities of daily living.\u0000 \u0000 \u0000 \u0000 Spending 8 hours in bed between successive night shifts, initiated at both a self-selected time and in the afternoon-evening, increased the sleep duration of older shiftworkers, but most would not continue such a schedule on their own. Additional research is needed to find countermeasures for the reduced sleep duration experienced by most shiftworkers that are not only effective, but also compatible with shiftworkers’ lifestyles.\u0000","PeriodicalId":21861,"journal":{"name":"SLEEP Advances","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139857316","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-07DOI: 10.1093/sleepadvances/zpae010
L. Barger, Yuan Zhang, Heidi M Lammers-van der Holst, Davina Snoep, Audra S Murphy, B. Desnoyers, Jeanne F Duffy
To explore the feasibility, effectiveness, and acceptability of an afternoon-evening sleep schedule in older (age 50-65 years) nightshift workers. We used a 3-part strategy: a screening survey to identify individuals who said they could adopt an 8-hour afternoon-evening sleep schedule; a field study where daily diary and actigraphy data were collected during a baseline week and intervention week, with randomization to self-selected sleep, 8-hour afternoon-evening time in bed (TIB), or 8 hour self-selected TIB; and follow-up focus groups to understand the acceptability of the intervention. Gender (p<0.001), Hispanic ethnicity (p=0.023), the care of children (p=0.014), and chronotype (p=0.012), predicted the reported ability to spend 8 hours in bed in the afternoon-evening. Participants assigned to the 8-hour self-selected and 8-hour afternoon-evening groups significantly increased their TIB and sleep duration compared to baseline (p<0.05), while the control group did not. Although spending 8 hours in bed was feasible for the participants during the study, focus group discussions indicated participants would not continue an 8 hour TIB schedule after the study due to family responsibilities and other activities of daily living. Spending 8 hours in bed between successive night shifts, initiated at both a self-selected time and in the afternoon-evening, increased the sleep duration of older shiftworkers, but most would not continue such a schedule on their own. Additional research is needed to find countermeasures for the reduced sleep duration experienced by most shiftworkers that are not only effective, but also compatible with shiftworkers’ lifestyles.
{"title":"Feasibility, Effectiveness and Acceptability of an Afternoon-Evening Sleep Schedule in Older Nightshift Workers","authors":"L. Barger, Yuan Zhang, Heidi M Lammers-van der Holst, Davina Snoep, Audra S Murphy, B. Desnoyers, Jeanne F Duffy","doi":"10.1093/sleepadvances/zpae010","DOIUrl":"https://doi.org/10.1093/sleepadvances/zpae010","url":null,"abstract":"\u0000 \u0000 \u0000 To explore the feasibility, effectiveness, and acceptability of an afternoon-evening sleep schedule in older (age 50-65 years) nightshift workers.\u0000 \u0000 \u0000 \u0000 We used a 3-part strategy: a screening survey to identify individuals who said they could adopt an 8-hour afternoon-evening sleep schedule; a field study where daily diary and actigraphy data were collected during a baseline week and intervention week, with randomization to self-selected sleep, 8-hour afternoon-evening time in bed (TIB), or 8 hour self-selected TIB; and follow-up focus groups to understand the acceptability of the intervention.\u0000 \u0000 \u0000 \u0000 Gender (p<0.001), Hispanic ethnicity (p=0.023), the care of children (p=0.014), and chronotype (p=0.012), predicted the reported ability to spend 8 hours in bed in the afternoon-evening. Participants assigned to the 8-hour self-selected and 8-hour afternoon-evening groups significantly increased their TIB and sleep duration compared to baseline (p<0.05), while the control group did not. Although spending 8 hours in bed was feasible for the participants during the study, focus group discussions indicated participants would not continue an 8 hour TIB schedule after the study due to family responsibilities and other activities of daily living.\u0000 \u0000 \u0000 \u0000 Spending 8 hours in bed between successive night shifts, initiated at both a self-selected time and in the afternoon-evening, increased the sleep duration of older shiftworkers, but most would not continue such a schedule on their own. Additional research is needed to find countermeasures for the reduced sleep duration experienced by most shiftworkers that are not only effective, but also compatible with shiftworkers’ lifestyles.\u0000","PeriodicalId":21861,"journal":{"name":"SLEEP Advances","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139797450","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-06DOI: 10.1093/sleepadvances/zpae009
Carmen van Klaren, Anneloes Maij, Laurie Marsman, A. van Drongelen
Operator fatigue poses a major concern in safety-critical industries such as aviation, potentially increasing the chances of errors and accidents. To better understand this risk, there is a need for non-invasive objective measures of fatigue. This study aimed to evaluate the performance of cEEGrids, a type of ear-EEG, for fatigue detection by analysing the alpha and theta power before and after sleep restriction in four sessions on two separate days, employing a within-subjects design. Results were compared to traditional, highly validated methods: the Karolinska Sleepiness Scale and Psychomotor Vigilance Task. After sleep restriction and an office workday, twelve participants showed increased alpha band power in multiple electrode channels, but no channels correlated with KSS scores and PVT response speed. These findings indicate that cEEGrids can detect differences in alpha power following mild sleep loss. However, it should be noted that this capability was limited to specific channels, and no difference in theta power was observed. The study shows the potential and limitations of ear-EEG for fatigue detection as a less invasive alternative to cap-EEG. Further design and electrode configuration adjustments are necessary before ear-EEG can be implemented for fatigue detection in the field.
{"title":"The evaluation of cEEGrids for fatigue detection in aviation","authors":"Carmen van Klaren, Anneloes Maij, Laurie Marsman, A. van Drongelen","doi":"10.1093/sleepadvances/zpae009","DOIUrl":"https://doi.org/10.1093/sleepadvances/zpae009","url":null,"abstract":"\u0000 Operator fatigue poses a major concern in safety-critical industries such as aviation, potentially increasing the chances of errors and accidents. To better understand this risk, there is a need for non-invasive objective measures of fatigue. This study aimed to evaluate the performance of cEEGrids, a type of ear-EEG, for fatigue detection by analysing the alpha and theta power before and after sleep restriction in four sessions on two separate days, employing a within-subjects design. Results were compared to traditional, highly validated methods: the Karolinska Sleepiness Scale and Psychomotor Vigilance Task. After sleep restriction and an office workday, twelve participants showed increased alpha band power in multiple electrode channels, but no channels correlated with KSS scores and PVT response speed. These findings indicate that cEEGrids can detect differences in alpha power following mild sleep loss. However, it should be noted that this capability was limited to specific channels, and no difference in theta power was observed. The study shows the potential and limitations of ear-EEG for fatigue detection as a less invasive alternative to cap-EEG. Further design and electrode configuration adjustments are necessary before ear-EEG can be implemented for fatigue detection in the field.","PeriodicalId":21861,"journal":{"name":"SLEEP Advances","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139799877","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-06DOI: 10.1093/sleepadvances/zpae009
Carmen van Klaren, Anneloes Maij, Laurie Marsman, A. van Drongelen
Operator fatigue poses a major concern in safety-critical industries such as aviation, potentially increasing the chances of errors and accidents. To better understand this risk, there is a need for non-invasive objective measures of fatigue. This study aimed to evaluate the performance of cEEGrids, a type of ear-EEG, for fatigue detection by analysing the alpha and theta power before and after sleep restriction in four sessions on two separate days, employing a within-subjects design. Results were compared to traditional, highly validated methods: the Karolinska Sleepiness Scale and Psychomotor Vigilance Task. After sleep restriction and an office workday, twelve participants showed increased alpha band power in multiple electrode channels, but no channels correlated with KSS scores and PVT response speed. These findings indicate that cEEGrids can detect differences in alpha power following mild sleep loss. However, it should be noted that this capability was limited to specific channels, and no difference in theta power was observed. The study shows the potential and limitations of ear-EEG for fatigue detection as a less invasive alternative to cap-EEG. Further design and electrode configuration adjustments are necessary before ear-EEG can be implemented for fatigue detection in the field.
{"title":"The evaluation of cEEGrids for fatigue detection in aviation","authors":"Carmen van Klaren, Anneloes Maij, Laurie Marsman, A. van Drongelen","doi":"10.1093/sleepadvances/zpae009","DOIUrl":"https://doi.org/10.1093/sleepadvances/zpae009","url":null,"abstract":"\u0000 Operator fatigue poses a major concern in safety-critical industries such as aviation, potentially increasing the chances of errors and accidents. To better understand this risk, there is a need for non-invasive objective measures of fatigue. This study aimed to evaluate the performance of cEEGrids, a type of ear-EEG, for fatigue detection by analysing the alpha and theta power before and after sleep restriction in four sessions on two separate days, employing a within-subjects design. Results were compared to traditional, highly validated methods: the Karolinska Sleepiness Scale and Psychomotor Vigilance Task. After sleep restriction and an office workday, twelve participants showed increased alpha band power in multiple electrode channels, but no channels correlated with KSS scores and PVT response speed. These findings indicate that cEEGrids can detect differences in alpha power following mild sleep loss. However, it should be noted that this capability was limited to specific channels, and no difference in theta power was observed. The study shows the potential and limitations of ear-EEG for fatigue detection as a less invasive alternative to cap-EEG. Further design and electrode configuration adjustments are necessary before ear-EEG can be implemented for fatigue detection in the field.","PeriodicalId":21861,"journal":{"name":"SLEEP Advances","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139859432","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-05DOI: 10.1093/sleepadvances/zpae011
Nesrine Adly Ibrahim, Abdulghani Sankari, A. Aldwaikat, Nishtha Pandya, S. Chowdhuri, A. Salloum, Jennifer L Martin, S. Zeineddine, M. S. Badr
Sleep-disordered breathing (SDB) is common in the Veteran population. In this retrospective study, we investigated the prevalence of comorbid central and obstructive SDB and the response rate to PAP among Veterans. Veterans were screened from a single VA medical center who had a polysomnography (PSG) study from 2017-2021 to ascertain the presence, severity, and type of SDB by measuring the Apnea-Hypopnea Index (AHI) and Central Apnea Index (CAI). Patients were excluded if they did not have complete studies (diagnostic and PAP titration studies). The inclusion criteria for these analyses were central sleep apnea (CSA) defined as AHI ≥ 10 events/hour and CAI ≥ 5 events/ hour. Diagnostic “CSA only” was defined as AHI ≥ 10 events/ hour and CAI ≥ 50% of AHI. “OSA only” was defined if AHI≥ 10 events/ hour and CAI < 5 events/ hour. Comorbid central and obstructive sleep apnea (COSA) was defined if AHI≥ 10 events/ hour and CAI > 5 events/ hour but <50% of AHI. The responsiveness to PAP therapy was determined based on the CAI < 5 events/h on the titration study. A total of 90 patients met the inclusion criteria and from those 64 Veterans were found to have COSA (71%), 18 (20%) were CSA only, and 8 (9%) were OSA only. A total of 22 (24.4%) Veterans diagnosed with CSA or COSA were responsive to PAP therapy. Sixty days after treatment initiation, both responsive and nonresponsive groups had significant decreases in AHI and CAI (p<0.05). Comorbid central and obstructive SDB is common among Veterans. The response to PAP therapy is suboptimal but improves over time.
睡眠呼吸障碍 (SDB) 在退伍军人中很常见。在这项回顾性研究中，我们调查了退伍军人中合并中枢性和阻塞性 SDB 的患病率以及对 PAP 的响应率。 我们从一个退伍军人医疗中心筛选出 2017-2021 年间进行过多导睡眠图（PSG）检查的退伍军人，通过测量呼吸暂停-低通气指数（AHI）和中枢性呼吸暂停指数（CAI）来确定 SDB 的存在、严重程度和类型。如果患者没有完整的研究（诊断和 PAP 滴定研究），则将其排除在外。这些分析的纳入标准是中枢性睡眠呼吸暂停（CSA），即 AHI ≥ 10 次/小时和 CAI ≥ 5 次/小时。诊断性 "仅 CSA "是指 AHI ≥ 10 次/小时且 CAI ≥ AHI 的 50%。如果 AHI ≥ 10 次/小时且 CAI < 5 次/小时，则定义为 "仅 OSA"。如果 AHI ≥ 10 次/小时且 CAI > 5 次/小时但低于 AHI 的 50%，则定义为合并中枢性和阻塞性睡眠呼吸暂停（COSA）。在滴定研究中，根据 CAI < 5 事件/小时来确定对 PAP 治疗的反应性。 共有 90 名患者符合纳入标准，其中 64 名退伍军人（71%）患有 COSA，18 名（20%）仅患有 CSA，8 名（9%）仅患有 OSA。共有 22 名（24.4%）被诊断为 CSA 或 COSA 的退伍军人对 PAP 治疗有反应。治疗开始 60 天后，有反应组和无反应组的 AHI 和 CAI 均显著下降（P<0.05）。 中枢性和阻塞性 SDB 合并症在退伍军人中很常见。对 PAP 治疗的反应并不理想，但随着时间的推移会有所改善。
{"title":"Prevalence of Central Sleep Apnea among Veterans and Response Rate to Continuous Positive Airway Pressure Therapy","authors":"Nesrine Adly Ibrahim, Abdulghani Sankari, A. Aldwaikat, Nishtha Pandya, S. Chowdhuri, A. Salloum, Jennifer L Martin, S. Zeineddine, M. S. Badr","doi":"10.1093/sleepadvances/zpae011","DOIUrl":"https://doi.org/10.1093/sleepadvances/zpae011","url":null,"abstract":"\u0000 \u0000 \u0000 Sleep-disordered breathing (SDB) is common in the Veteran population. In this retrospective study, we investigated the prevalence of comorbid central and obstructive SDB and the response rate to PAP among Veterans.\u0000 \u0000 \u0000 \u0000 Veterans were screened from a single VA medical center who had a polysomnography (PSG) study from 2017-2021 to ascertain the presence, severity, and type of SDB by measuring the Apnea-Hypopnea Index (AHI) and Central Apnea Index (CAI). Patients were excluded if they did not have complete studies (diagnostic and PAP titration studies). The inclusion criteria for these analyses were central sleep apnea (CSA) defined as AHI ≥ 10 events/hour and CAI ≥ 5 events/ hour. Diagnostic “CSA only” was defined as AHI ≥ 10 events/ hour and CAI ≥ 50% of AHI. “OSA only” was defined if AHI≥ 10 events/ hour and CAI < 5 events/ hour. Comorbid central and obstructive sleep apnea (COSA) was defined if AHI≥ 10 events/ hour and CAI > 5 events/ hour but <50% of AHI. The responsiveness to PAP therapy was determined based on the CAI < 5 events/h on the titration study.\u0000 \u0000 \u0000 \u0000 A total of 90 patients met the inclusion criteria and from those 64 Veterans were found to have COSA (71%), 18 (20%) were CSA only, and 8 (9%) were OSA only. A total of 22 (24.4%) Veterans diagnosed with CSA or COSA were responsive to PAP therapy. Sixty days after treatment initiation, both responsive and nonresponsive groups had significant decreases in AHI and CAI (p<0.05).\u0000 \u0000 \u0000 \u0000 Comorbid central and obstructive SDB is common among Veterans. The response to PAP therapy is suboptimal but improves over time.\u0000","PeriodicalId":21861,"journal":{"name":"SLEEP Advances","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139805763","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-05DOI: 10.1093/sleepadvances/zpae005
Christopher K McClernon, P. Matsangas, N. Shattuck
The study explores how sleep, sleep-related practices and behaviors, in addition to various demographic and occupational characteristics, are related to overall mood of U.S. Navy sailors when they are underway. Longitudinal assessment of U.S. Navy sailors performing their underway duties (N = 873, 79.2% males, median age 25 years). Participants completed standardized questionnaires, wore wrist-worn actigraphs, and completed daily activity logs. Sailors who reported worse Profile of Mood States (POMS) Total Mood Disturbance (TMD) scores had shorter sleep duration, worse sleep quality, and more episodes of split sleep. The group with worse mood also reported more symptoms of excessive daytime sleepiness as well as more symptoms of insomnia. In addition to sleep results, sailors with worse mood also tended to be younger, more likely to use nicotine and tobacco products, and less likely to have an exercise routine when compared to sailors with better POMS scores. Finally, the group with worse POMS scores included more enlisted personnel, tended to work more hours per day, and were more likely to stand watch – especially on rotating watch schedules. The results found significant associations between the sleep practices and mood of sailors aboard US Navy ships. Numerous other demographic and occupational factors were also strongly associated with mood.
{"title":"Sleepy and grumpy go hand in hand for US Navy Sailors","authors":"Christopher K McClernon, P. Matsangas, N. Shattuck","doi":"10.1093/sleepadvances/zpae005","DOIUrl":"https://doi.org/10.1093/sleepadvances/zpae005","url":null,"abstract":"\u0000 \u0000 \u0000 The study explores how sleep, sleep-related practices and behaviors, in addition to various demographic and occupational characteristics, are related to overall mood of U.S. Navy sailors when they are underway.\u0000 \u0000 \u0000 \u0000 Longitudinal assessment of U.S. Navy sailors performing their underway duties (N = 873, 79.2% males, median age 25 years). Participants completed standardized questionnaires, wore wrist-worn actigraphs, and completed daily activity logs.\u0000 \u0000 \u0000 \u0000 Sailors who reported worse Profile of Mood States (POMS) Total Mood Disturbance (TMD) scores had shorter sleep duration, worse sleep quality, and more episodes of split sleep. The group with worse mood also reported more symptoms of excessive daytime sleepiness as well as more symptoms of insomnia. In addition to sleep results, sailors with worse mood also tended to be younger, more likely to use nicotine and tobacco products, and less likely to have an exercise routine when compared to sailors with better POMS scores. Finally, the group with worse POMS scores included more enlisted personnel, tended to work more hours per day, and were more likely to stand watch – especially on rotating watch schedules.\u0000 \u0000 \u0000 \u0000 The results found significant associations between the sleep practices and mood of sailors aboard US Navy ships. Numerous other demographic and occupational factors were also strongly associated with mood.\u0000","PeriodicalId":21861,"journal":{"name":"SLEEP Advances","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139862572","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-05DOI: 10.1093/sleepadvances/zpae005
Christopher K McClernon, P. Matsangas, N. Shattuck
The study explores how sleep, sleep-related practices and behaviors, in addition to various demographic and occupational characteristics, are related to overall mood of U.S. Navy sailors when they are underway. Longitudinal assessment of U.S. Navy sailors performing their underway duties (N = 873, 79.2% males, median age 25 years). Participants completed standardized questionnaires, wore wrist-worn actigraphs, and completed daily activity logs. Sailors who reported worse Profile of Mood States (POMS) Total Mood Disturbance (TMD) scores had shorter sleep duration, worse sleep quality, and more episodes of split sleep. The group with worse mood also reported more symptoms of excessive daytime sleepiness as well as more symptoms of insomnia. In addition to sleep results, sailors with worse mood also tended to be younger, more likely to use nicotine and tobacco products, and less likely to have an exercise routine when compared to sailors with better POMS scores. Finally, the group with worse POMS scores included more enlisted personnel, tended to work more hours per day, and were more likely to stand watch – especially on rotating watch schedules. The results found significant associations between the sleep practices and mood of sailors aboard US Navy ships. Numerous other demographic and occupational factors were also strongly associated with mood.
{"title":"Sleepy and grumpy go hand in hand for US Navy Sailors","authors":"Christopher K McClernon, P. Matsangas, N. Shattuck","doi":"10.1093/sleepadvances/zpae005","DOIUrl":"https://doi.org/10.1093/sleepadvances/zpae005","url":null,"abstract":"\u0000 \u0000 \u0000 The study explores how sleep, sleep-related practices and behaviors, in addition to various demographic and occupational characteristics, are related to overall mood of U.S. Navy sailors when they are underway.\u0000 \u0000 \u0000 \u0000 Longitudinal assessment of U.S. Navy sailors performing their underway duties (N = 873, 79.2% males, median age 25 years). Participants completed standardized questionnaires, wore wrist-worn actigraphs, and completed daily activity logs.\u0000 \u0000 \u0000 \u0000 Sailors who reported worse Profile of Mood States (POMS) Total Mood Disturbance (TMD) scores had shorter sleep duration, worse sleep quality, and more episodes of split sleep. The group with worse mood also reported more symptoms of excessive daytime sleepiness as well as more symptoms of insomnia. In addition to sleep results, sailors with worse mood also tended to be younger, more likely to use nicotine and tobacco products, and less likely to have an exercise routine when compared to sailors with better POMS scores. Finally, the group with worse POMS scores included more enlisted personnel, tended to work more hours per day, and were more likely to stand watch – especially on rotating watch schedules.\u0000 \u0000 \u0000 \u0000 The results found significant associations between the sleep practices and mood of sailors aboard US Navy ships. Numerous other demographic and occupational factors were also strongly associated with mood.\u0000","PeriodicalId":21861,"journal":{"name":"SLEEP Advances","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139802340","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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