This study aimed to asses previous research results about bio-physiological alterations during pregnancy and postpartum, and make clear outlook about prevalence and related factors of sleep disorders during pregnancy and postpartum. In this review, the articles that published from 2000 to 2019 were reviewed. Related articles were searched from databases in English language. After evaluation of inclusion and exclusion criteria, articles were chosen and reviewed based on the University of York strategies. Sleep disorders in present study were classified according to the International Classification of Sleep Disorders-3. The search revealed 4449 articles, after evaluating and assessing qualified articles, finally 56 article selected to review. According to the results of this review, The prevalence of sleep disorders was almost 76%–97% in whole pregnancy. The most common sleep disorders included central disorders of hyper somnolence (waking up in the middle of the night, daytime sleepiness, sleeplessness) or insomnia, sleep-related movement disorders (restless legs syndrome), sleep related breathing disorders (obstructive sleep apnea), and parasomnia. In addition, sleep disorder may continue 3–12 months postpartum (33.2%). Sleep disorders induced by physiological processes (fetal movement, excessive weight gain, male sex of the fetus, and multiparty), health-related risks (metabolism disorders, cardiovascular diseases, and mood disorders), and physical or sexual abuse in childhood. In addition, these disorders could have maternal outcomes that can be greatest trigger to postpartum psychiatric disorders and fetal outcomes that have harmful sequences during childhood (sexual, fertility, emotional, and cognitive problems). Health care providers should evaluate the mothers’ sleep quality because sleep disorder leads to harmful consequences in fetuses and children.
{"title":"Sleep Disorders During Pregnancy and Postpartum: A Systematic Review","authors":"Z. Moghadam, E. Rezaei, A. Rahmani","doi":"10.17241/smr.2021.00983","DOIUrl":"https://doi.org/10.17241/smr.2021.00983","url":null,"abstract":"This study aimed to asses previous research results about bio-physiological alterations during pregnancy and postpartum, and make clear outlook about prevalence and related factors of sleep disorders during pregnancy and postpartum. In this review, the articles that published from 2000 to 2019 were reviewed. Related articles were searched from databases in English language. After evaluation of inclusion and exclusion criteria, articles were chosen and reviewed based on the University of York strategies. Sleep disorders in present study were classified according to the International Classification of Sleep Disorders-3. The search revealed 4449 articles, after evaluating and assessing qualified articles, finally 56 article selected to review. According to the results of this review, The prevalence of sleep disorders was almost 76%–97% in whole pregnancy. The most common sleep disorders included central disorders of hyper somnolence (waking up in the middle of the night, daytime sleepiness, sleeplessness) or insomnia, sleep-related movement disorders (restless legs syndrome), sleep related breathing disorders (obstructive sleep apnea), and parasomnia. In addition, sleep disorder may continue 3–12 months postpartum (33.2%). Sleep disorders induced by physiological processes (fetal movement, excessive weight gain, male sex of the fetus, and multiparty), health-related risks (metabolism disorders, cardiovascular diseases, and mood disorders), and physical or sexual abuse in childhood. In addition, these disorders could have maternal outcomes that can be greatest trigger to postpartum psychiatric disorders and fetal outcomes that have harmful sequences during childhood (sexual, fertility, emotional, and cognitive problems). Health care providers should evaluate the mothers’ sleep quality because sleep disorder leads to harmful consequences in fetuses and children.","PeriodicalId":37318,"journal":{"name":"Sleep Medicine Research","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47936368","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}
Background and Objective It is widely known that poor sleep quality is closely related to depression, but there are limited studies on the mediating factors.Methods Based on national health survey data, the relationship between sleep quality and depressive symptoms was explored, and structural equations were drawn to determine whether emotional regulation activities, such as regular breakfast, regular exercise, smoking, and drinking contribute to poor sleep quality-induced depression.Results There was a significant correlation between poor sleep quality and depressive symptoms. Regular breakfast tended to mediate between poor sleep quality and depression the most, followed by smoking, drinking, and regular exercise.Conclusions Several emotional regulation activities including regular breakfast, can play a protective role in the process leading to poor sleep quality-induced depression. A follow-up study is required to examine the clinical aspect of how regular breakfast can prevent the process of poor sleep quality to depression.
{"title":"Emotional Regulation Activities Moderates the Risk of Depression in People With Sleep Disturbance: Evidence From a Community Health Survey","authors":"Jihye Oh, Seung-Chul Hong","doi":"10.17241/smr.2021.01151","DOIUrl":"https://doi.org/10.17241/smr.2021.01151","url":null,"abstract":"Background and Objective It is widely known that poor sleep quality is closely related to depression, but there are limited studies on the mediating factors.Methods Based on national health survey data, the relationship between sleep quality and depressive symptoms was explored, and structural equations were drawn to determine whether emotional regulation activities, such as regular breakfast, regular exercise, smoking, and drinking contribute to poor sleep quality-induced depression.Results There was a significant correlation between poor sleep quality and depressive symptoms. Regular breakfast tended to mediate between poor sleep quality and depression the most, followed by smoking, drinking, and regular exercise.Conclusions Several emotional regulation activities including regular breakfast, can play a protective role in the process leading to poor sleep quality-induced depression. A follow-up study is required to examine the clinical aspect of how regular breakfast can prevent the process of poor sleep quality to depression.","PeriodicalId":37318,"journal":{"name":"Sleep Medicine Research","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41760948","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}
Background and Objective Obstructive sleep apnea (OSA) is a sleep-related breathing disorder caused by repetitive obstruction of the upper airway. Repetitive obstruction of the upper airway causes impaired gaseous exchange, resulting hypoxia, hypercapnia, and frequent arousals of sleep architecture. Polysomnography (PSG) is a gold standard for diagnosing OSA. Excessive daytime sleepiness (EDS) is a common accompanying daytime symptoms in OSA patients. Since EDS can cause unexpected events such as traffic accident or poor performance in workplace, it is regarded as a significant public health problem. Therefore, accurate assessment and prediction of this symptom is important. The Epworth Sleepiness Scale (ESS) and multiple sleep latency test are most commonly used to evaluate EDS, but their efficacies are controversial. The purpose of this study is to find the parameter to evaluate and predict the EDS for OSA patients.Methods We retrospectively reviewed the medical records of 88 OSA patients. Patients were divided into two groups according to the presence of EDS. We analyzed the clinical records, questionnaire scores, and PSG data to find the difference between two groups.Results ESS was 10.64 ± 4.28 in EDS patients and 8.63 ± 4.86 in non-EDS patients. ESS showed a statistically significant difference between two groups (p = 0.044). Also, the percentage of 1st stage non-REM sleep in total sleep time (N1%) was 25.09 ± 15.24 in EDS patients and 18.97 ± 10.30 in non-EDS patients and showed a statistically significant difference between groups (p = 0.033). Patients’ weight was 81.59 ± 20.52 in EDS patients and 74.14 ± 12.63 in non-EDS patients and showed a statistically significant difference between groups (p = 0.046).Conclusions ESS, N1% and patients’ weight were significant parameter which is related with the presence of EDS for OSA patients. These parameters will be useful in evaluating the presence of EDS for OSA patients. Also, in patients diagnosed with sleep disorder with high N1%, EDS must be accurately evaluated as well.
{"title":"Evaluation Parameter of Excessive Daytime Sleepiness for Obstructive Sleep Apnea Patients","authors":"Sang Hoo Park, W. Bae, Sangjun Kim, Young Gun Kim","doi":"10.17241/smr.2021.01116","DOIUrl":"https://doi.org/10.17241/smr.2021.01116","url":null,"abstract":"Background and Objective Obstructive sleep apnea (OSA) is a sleep-related breathing disorder caused by repetitive obstruction of the upper airway. Repetitive obstruction of the upper airway causes impaired gaseous exchange, resulting hypoxia, hypercapnia, and frequent arousals of sleep architecture. Polysomnography (PSG) is a gold standard for diagnosing OSA. Excessive daytime sleepiness (EDS) is a common accompanying daytime symptoms in OSA patients. Since EDS can cause unexpected events such as traffic accident or poor performance in workplace, it is regarded as a significant public health problem. Therefore, accurate assessment and prediction of this symptom is important. The Epworth Sleepiness Scale (ESS) and multiple sleep latency test are most commonly used to evaluate EDS, but their efficacies are controversial. The purpose of this study is to find the parameter to evaluate and predict the EDS for OSA patients.Methods We retrospectively reviewed the medical records of 88 OSA patients. Patients were divided into two groups according to the presence of EDS. We analyzed the clinical records, questionnaire scores, and PSG data to find the difference between two groups.Results ESS was 10.64 ± 4.28 in EDS patients and 8.63 ± 4.86 in non-EDS patients. ESS showed a statistically significant difference between two groups (p = 0.044). Also, the percentage of 1st stage non-REM sleep in total sleep time (N1%) was 25.09 ± 15.24 in EDS patients and 18.97 ± 10.30 in non-EDS patients and showed a statistically significant difference between groups (p = 0.033). Patients’ weight was 81.59 ± 20.52 in EDS patients and 74.14 ± 12.63 in non-EDS patients and showed a statistically significant difference between groups (p = 0.046).Conclusions ESS, N1% and patients’ weight were significant parameter which is related with the presence of EDS for OSA patients. These parameters will be useful in evaluating the presence of EDS for OSA patients. Also, in patients diagnosed with sleep disorder with high N1%, EDS must be accurately evaluated as well.","PeriodicalId":37318,"journal":{"name":"Sleep Medicine Research","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43311886","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}
Young Jeong Lee, Hyunwook Kang, J. Choi, J. Moon, Young Jun Lee, Tae Kyung Ha, Ho Dong Lee
Background and Objective Few clinical studies have investigated the accuracy of non-contact monitoring devices for vital signs during sleep and sleep architecture in adults with sleep-disordered breathing (SDB). The purpose of this study was to assess the accuracy of a contactless monitoring device for 1) heart rate, respiratory rate, and body temperature during sleep and 2) sleep architecture in adults with SDB.Methods Thirty-five consecutive adults, who visited a tertiary university hospital due to suspected SDB, underwent a complete physical examination and standard (level 1) polysomnography plus body temperature measurement with a contactless monitoring device (HoneyCube System).Results A total of 30 subjects (mean age = 46.43 ± 12.9 years; male: female = 22: 8) were finally included, and five subjects were excluded due to inadequate data in this study. The intraclass correlation coefficient values of heart rate, respiratory rate, and body temperature measured using the contactless monitoring device were 0.91 (95% confidence interval [CI]: 0.892, 0.928), 0.937 (95% CI: 0.919, 0.954), and 0.918 (95% CI: 0.895, 0.941), respectively. The mean kappa value for sleep architecture was 0.562 (95% CI: 0.529, 0.596).Conclusions The contactless monitoring device showed good (almost perfect) agreement in terms of heart rate, respiratory rate, and body temperature and moderate agreement in sleep architecture with contact measurements. These results suggest that the HoneyCube System is a good candidate device for sleep monitoring at home and in multiple accommodations.
{"title":"Validation Study of a Contactless Monitoring Device for Vital Signs During Sleep and Sleep Architecture in Adults With Sleep-Disordered Breathing","authors":"Young Jeong Lee, Hyunwook Kang, J. Choi, J. Moon, Young Jun Lee, Tae Kyung Ha, Ho Dong Lee","doi":"10.17241/smr.2021.01144","DOIUrl":"https://doi.org/10.17241/smr.2021.01144","url":null,"abstract":"Background and Objective Few clinical studies have investigated the accuracy of non-contact monitoring devices for vital signs during sleep and sleep architecture in adults with sleep-disordered breathing (SDB). The purpose of this study was to assess the accuracy of a contactless monitoring device for 1) heart rate, respiratory rate, and body temperature during sleep and 2) sleep architecture in adults with SDB.Methods Thirty-five consecutive adults, who visited a tertiary university hospital due to suspected SDB, underwent a complete physical examination and standard (level 1) polysomnography plus body temperature measurement with a contactless monitoring device (HoneyCube System).Results A total of 30 subjects (mean age = 46.43 ± 12.9 years; male: female = 22: 8) were finally included, and five subjects were excluded due to inadequate data in this study. The intraclass correlation coefficient values of heart rate, respiratory rate, and body temperature measured using the contactless monitoring device were 0.91 (95% confidence interval [CI]: 0.892, 0.928), 0.937 (95% CI: 0.919, 0.954), and 0.918 (95% CI: 0.895, 0.941), respectively. The mean kappa value for sleep architecture was 0.562 (95% CI: 0.529, 0.596).Conclusions The contactless monitoring device showed good (almost perfect) agreement in terms of heart rate, respiratory rate, and body temperature and moderate agreement in sleep architecture with contact measurements. These results suggest that the HoneyCube System is a good candidate device for sleep monitoring at home and in multiple accommodations.","PeriodicalId":37318,"journal":{"name":"Sleep Medicine Research","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46272155","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}
Bayan Tarek Abou Ali, N. Saleh, Hussein Walid Mreydem, Sajida Fawaz Hammoudi, Taeyeop Lee, Seockhoon Chung, S. Hallit, P. Salameh
Background and Objective Our aim is to investigate the impact of COVID-19 on screen time among Lebanese high school students (grades 9–12).Methods An anonymous online questionnaire was distributed among 510 school students from different governorates in Lebanon; this included questions regarding screen time, food habits, and physical activity. Psychological symptoms were assessed using the Generalized Anxiety Disorder-7 items and Patient Health Questionnaire-9 items. Effects of screen time on sleep was evaluated using the Insomnia Severity Index and Bedtime Procrastination Scale.Results Female students reported higher depression (p = 0.018) and anxiety (p = 0.023) than male students; however, there was no difference in their sleep. Insomnia, depression, and anxiety were highest among phone users. A screen time of more than 7 hours per day was significantly associated with higher depression (67.9%), anxiety (61.6%), insomnia (82.1%), and bedtime procrastination. It also indicated a shift toward a less healthy diet and light exercise.Conclusions Seven hours of screen was found to develop depression and anxiety, exercising less, eating a less healthy diet, and experiencing disturbed sleep among school adolescents.
{"title":"Screen Time Effect on Insomnia, Depression, or Anxiety Symptoms and Physical Activity of School Students During COVID-19 Lockdown in Lebanon: A Cross Sectional Study","authors":"Bayan Tarek Abou Ali, N. Saleh, Hussein Walid Mreydem, Sajida Fawaz Hammoudi, Taeyeop Lee, Seockhoon Chung, S. Hallit, P. Salameh","doi":"10.17241/smr.2021.01109","DOIUrl":"https://doi.org/10.17241/smr.2021.01109","url":null,"abstract":"Background and Objective Our aim is to investigate the impact of COVID-19 on screen time among Lebanese high school students (grades 9–12).Methods An anonymous online questionnaire was distributed among 510 school students from different governorates in Lebanon; this included questions regarding screen time, food habits, and physical activity. Psychological symptoms were assessed using the Generalized Anxiety Disorder-7 items and Patient Health Questionnaire-9 items. Effects of screen time on sleep was evaluated using the Insomnia Severity Index and Bedtime Procrastination Scale.Results Female students reported higher depression (p = 0.018) and anxiety (p = 0.023) than male students; however, there was no difference in their sleep. Insomnia, depression, and anxiety were highest among phone users. A screen time of more than 7 hours per day was significantly associated with higher depression (67.9%), anxiety (61.6%), insomnia (82.1%), and bedtime procrastination. It also indicated a shift toward a less healthy diet and light exercise.Conclusions Seven hours of screen was found to develop depression and anxiety, exercising less, eating a less healthy diet, and experiencing disturbed sleep among school adolescents.","PeriodicalId":37318,"journal":{"name":"Sleep Medicine Research","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45288138","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}
Minjung Kim, Y. Um, Tae-Won Kim, Sung-Min Kim, H. Seo, Jong-Hyun Jeong, Jihyun Lee, Suhyung Kim, I. Cho, S. Kim, Seung-Chul Hong
Background and Objective This study aimed to investigate the changes in sleep quality with increasing age and the effect of age on the components of the Pittsburgh Sleep Quality Index (PSQI).Methods We used data from the Community Health Survey conducted by the Korea Center for Disease Control and Prevention in 2018. A total of 228340 participants in this nationwide survey. Sleep quality was assessed using the PSQI. Adults aged ≥ 19 years were divided into six age groups and one-way analysis of variance (one-way ANOVA) was used to compare the mean values of PSQI of each group. By comparing the scores for each PSQI component in those aged ≥ 65 years and < 65 years, we aimed to reveal the differences in special components according to age group.Results In total, 223334 respondents were included in the study. Based on a one-way ANOVA, the PSQI score generally increased with age. Although the average PSQI score of patients in their 40s was lower than that of patients in their 30s, there was no significant difference between the two groups (p = 0.11). When the PSQI component was compared between the population aged over and under 65 years, the population aged ≥ 65 years scored higher in most components. In contrast, daytime dysfunction scored higher in the population aged < 65 years.Conclusions Sleep quality tends to decrease with increasing age. Several factors, including physiological changes, underlying physical conditions, and psychosocial factors, may contribute to a decrease in sleep quality with age.
{"title":"Association Between Age and Sleep Quality: Findings From a Community Health Survey","authors":"Minjung Kim, Y. Um, Tae-Won Kim, Sung-Min Kim, H. Seo, Jong-Hyun Jeong, Jihyun Lee, Suhyung Kim, I. Cho, S. Kim, Seung-Chul Hong","doi":"10.17241/smr.2021.01158","DOIUrl":"https://doi.org/10.17241/smr.2021.01158","url":null,"abstract":"Background and Objective This study aimed to investigate the changes in sleep quality with increasing age and the effect of age on the components of the Pittsburgh Sleep Quality Index (PSQI).Methods We used data from the Community Health Survey conducted by the Korea Center for Disease Control and Prevention in 2018. A total of 228340 participants in this nationwide survey. Sleep quality was assessed using the PSQI. Adults aged ≥ 19 years were divided into six age groups and one-way analysis of variance (one-way ANOVA) was used to compare the mean values of PSQI of each group. By comparing the scores for each PSQI component in those aged ≥ 65 years and < 65 years, we aimed to reveal the differences in special components according to age group.Results In total, 223334 respondents were included in the study. Based on a one-way ANOVA, the PSQI score generally increased with age. Although the average PSQI score of patients in their 40s was lower than that of patients in their 30s, there was no significant difference between the two groups (p = 0.11). When the PSQI component was compared between the population aged over and under 65 years, the population aged ≥ 65 years scored higher in most components. In contrast, daytime dysfunction scored higher in the population aged < 65 years.Conclusions Sleep quality tends to decrease with increasing age. Several factors, including physiological changes, underlying physical conditions, and psychosocial factors, may contribute to a decrease in sleep quality with age.","PeriodicalId":37318,"journal":{"name":"Sleep Medicine Research","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44783272","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}
Background and ObjectiveaaAs sleep is a predictor of quality of life, studying sleep health and measurement is important. Actigraphy as a physiologic measure based on monitoring an individual’s movement has also been increasing in use as it has several advantages over traditional self-reports. This study aimed to report the research trends of sleep and actigraphy using a bibliometric and keyword analysis. MethodsaaUsing topic search queries, this study collected data from 3955 publications published between 2004 and 2020 and listed in the Web of Science Core Collection. A text-mining unstructured data analysis was performed using author keywords and a bibliographic analysis. ResultsaaStudies on sleep and actigraphy have been actively conducted in the fields of neurosciences and neurology but not in other fields. A gradual increase in publication and the steep increase in citations related to this topic occurring during the period considered. By clustering the author keywords, the analysis revealed five clusters: 1) monitoring physical activity and blood pressure, 2) measuring sleep quality, 3) insomnia and cognitive behavioral therapy for adolescents and children, 4) disorders and circadian rhythms, and 5) shift work. The leading research cluster has changed over the time. ConclusionsaaWith the increase in the number of studies and citations on sleep and actigraphy over the past 16 years, the trend of sleep and actigraphy studies have shifted from a focus on sleeprelated psychiatric disorders to a focus on cognitive behavioral therapy for children and adolescents and, more recently, the measurement of sleep quality. Sleep Med Res
{"title":"Sleep and Actigraphy Research Trends: A Bibliometric and Keyword Network Analysis From 2004 to 2020","authors":"In-hye Park, R. Q. Aini","doi":"10.17241/smr.2021.01039","DOIUrl":"https://doi.org/10.17241/smr.2021.01039","url":null,"abstract":"Background and ObjectiveaaAs sleep is a predictor of quality of life, studying sleep health and measurement is important. Actigraphy as a physiologic measure based on monitoring an individual’s movement has also been increasing in use as it has several advantages over traditional self-reports. This study aimed to report the research trends of sleep and actigraphy using a bibliometric and keyword analysis. MethodsaaUsing topic search queries, this study collected data from 3955 publications published between 2004 and 2020 and listed in the Web of Science Core Collection. A text-mining unstructured data analysis was performed using author keywords and a bibliographic analysis. ResultsaaStudies on sleep and actigraphy have been actively conducted in the fields of neurosciences and neurology but not in other fields. A gradual increase in publication and the steep increase in citations related to this topic occurring during the period considered. By clustering the author keywords, the analysis revealed five clusters: 1) monitoring physical activity and blood pressure, 2) measuring sleep quality, 3) insomnia and cognitive behavioral therapy for adolescents and children, 4) disorders and circadian rhythms, and 5) shift work. The leading research cluster has changed over the time. ConclusionsaaWith the increase in the number of studies and citations on sleep and actigraphy over the past 16 years, the trend of sleep and actigraphy studies have shifted from a focus on sleeprelated psychiatric disorders to a focus on cognitive behavioral therapy for children and adolescents and, more recently, the measurement of sleep quality. Sleep Med Res","PeriodicalId":37318,"journal":{"name":"Sleep Medicine Research","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45425854","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}
Min Su Kim, Min Gyu Kim, Jae-Yoon Kang, Jaein Chung, Yu Ju Seo, Soo-Kyoung Park, Ki-Sang Rha, Yong Min Kim
Background and ObjectiveaaThe numbers of prescriptions for continuous positive airway pressure and automatic positive airway pressure (APAP) machines have increased dramatically since the Korean government changed national health insurance coverage. This study examined adherence to APAP therapy in patients with obstructive sleep apnea who completed the 3-month adaptation period required by the insurance service, and evaluated the factors predictive of good adherence. MethodsaaWe retrospectively reviewed the medical records of a total of 315 patients who received APAP prescriptions between July 2018 and December 2019. After screening, 189 patients were analyzed. Patients were divided into an adherent (AD) group and a non-adherent (NAD) group based on 9 months’ APAP adherence. Patient demographics, medical history, body mass index and pretreatment polysomnography results, as well as APAP therapy adherence-related variables, the 90th percentile pressure, residual apnea hypopnea status, and type of devices or managers were compared between the two groups. ResultsaaWe found mean usage times, mean pressures, days with ≥ 4 hours of use a day, and 90th percentile pressures differed significantly between the AD and NAD groups. The device-related data at months 1 and 3 and 9 were similar. One type of device performed differently compared to the other devices, but this did not affect adherence. ConclusionsaaThe mean pressure and 90th percentile pressure were the main determinants of adherence in patients who passed a 3-month compliance assessment conducted by the Korean National Institute of Health. The data on adherence at months 1, 3 and 9 were similar. Sleep Med Res
{"title":"Factors Affecting Automatic Positive Airway Pressure Therapy Adherence in Patients Who had Completed the 3-Month Compliance Assessment for Korean National Health Insurance Coverage","authors":"Min Su Kim, Min Gyu Kim, Jae-Yoon Kang, Jaein Chung, Yu Ju Seo, Soo-Kyoung Park, Ki-Sang Rha, Yong Min Kim","doi":"10.17241/smr.2021.00990","DOIUrl":"https://doi.org/10.17241/smr.2021.00990","url":null,"abstract":"Background and ObjectiveaaThe numbers of prescriptions for continuous positive airway pressure and automatic positive airway pressure (APAP) machines have increased dramatically since the Korean government changed national health insurance coverage. This study examined adherence to APAP therapy in patients with obstructive sleep apnea who completed the 3-month adaptation period required by the insurance service, and evaluated the factors predictive of good adherence. MethodsaaWe retrospectively reviewed the medical records of a total of 315 patients who received APAP prescriptions between July 2018 and December 2019. After screening, 189 patients were analyzed. Patients were divided into an adherent (AD) group and a non-adherent (NAD) group based on 9 months’ APAP adherence. Patient demographics, medical history, body mass index and pretreatment polysomnography results, as well as APAP therapy adherence-related variables, the 90th percentile pressure, residual apnea hypopnea status, and type of devices or managers were compared between the two groups. ResultsaaWe found mean usage times, mean pressures, days with ≥ 4 hours of use a day, and 90th percentile pressures differed significantly between the AD and NAD groups. The device-related data at months 1 and 3 and 9 were similar. One type of device performed differently compared to the other devices, but this did not affect adherence. ConclusionsaaThe mean pressure and 90th percentile pressure were the main determinants of adherence in patients who passed a 3-month compliance assessment conducted by the Korean National Institute of Health. The data on adherence at months 1, 3 and 9 were similar. Sleep Med Res","PeriodicalId":37318,"journal":{"name":"Sleep Medicine Research","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43701103","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}
Hoon Sung Son, M. Ahn, Kyumin Kim, Inn-Kyu Cho, Joohee Lee, S. Suh, Seockhoon Chung
Background and ObjectiveaaThe aim of this study is to explore the usefulness of the Stress and Anxiety to Viral Epidemic-3 items (SAVE-3) scale as a tool for assessing work-related stress inhealthcare workers.MethodsaaThere were 389 participants and all remained anonymous. The SAVE-9, the PatientHealth Questionnaire-4, the Maslach Burnout Inventory-Human Services Survey for Medical Personnel(MBI-HSS-MP), the perceived stress scale (PSS), and single item insomnia measure wereused. After checking whether the SAVE-3 scale is clustered into a sole factor from SAVE-9 scalebased on principal component analysis with promax rotation, confirmatory factor analysis (CFA)was done on the 3 items of the SAVE-3 to examine the factorial validity for a unidimensionalstructure.ResultsaaThe SAVE-3 was clustered with factor loadings from 0.664–0.752, and a CFA revealedthat 3 items of the SAVE-3 cohered together into a unidimensional construct with fit for all of indices(comparative fit index = 1.00;Tucker Lewis index = 1.031;standardized root-mean-square residual= 0.001;root-mean-square-error of approximation = 0.00). The SAVE-3 scale showed acceptablereliability (Cronbach’s α = 0.56 and McDonald’s ω = 0.57) in this sample. A high SAVE-3score correlated significantly with younger age (r = -0.12, p = 0.02), a high PSS score (r = 0.24, p <0.001), a high total score for the MBI-HSS-MP (r = 0.35, p < 0.001) and all of its subscales (emotionalexhaustion, r = 0.40, p < 0.001;personal accomplishment, r = -0.14, p < 0.005;depersonalization,r = 0.39, p < 0.001), and poor sleep quality (r = 0.15, p < 0.001).ConclusionsaaTaken together, the data suggest that SAVE-3 is a reliable, valid, and usable scalefor measuring work-related stress in healthcare workers during the COVID-19 epidemic
背景与目的本研究的目的是探讨压力和焦虑对病毒流行-3项目(SAVE-3)量表作为评估医护人员工作压力的工具的有效性。方法389名参与者均为匿名。采用SAVE-9、patienthehealth Questionnaire-4、Maslach Burnout Inventory-Human Services Survey for医务人员(MBI-HSS-MP)、perceived stress scale (PSS)和单项失眠量表。在检验SAVE-3量表是否从SAVE-9量表中聚为单一因子后，采用主成分分析(promax rotation)对SAVE-3量表的3个项目进行验证性因子分析(confirmatory factor analysis, CFA)，检验其对单维度结构的析因效度。结果SAVE-3的因子负荷在0.664 ~ 0.752范围内聚类，CFA分析显示，SAVE-3的3个项目凝聚成一个适合所有指标的一维结构(比较拟合指数= 1.00,Tucker Lewis指数= 1.031，标准化均方根残差= 0.001，近似均方根误差= 0.00)。SAVE-3量表在本样本中具有可接受的信度(Cronbach 's α = 0.56, McDonald 's ω = 0.57)。较高的save -3得分与较年轻(r = -0.12, p = 0.02)、较高的PSS得分(r = 0.24, p <0.001)、较高的mpi - hss - mp总分(r = 0.35, p <0.001)及其所有子量表(情绪耗竭，r = 0.40, p <0.001;个人成就，r = -0.14, p < 0.005;人格解体，r = 0.39, p <0.001)和较差的睡眠质量(r = 0.15, p <0.001)显著相关。综上所述，这些数据表明，SAVE-3是衡量COVID-19流行期间医护人员工作压力的可靠、有效和可用的量表
{"title":"Utility of the Stress and Anxiety to Viral Epidemic-3 Items as a Tool for Assessing Work-Related Stress, and Relationship With Insomnia and Burnout of Healthcare Workers During the COVID-19 Pandemic","authors":"Hoon Sung Son, M. Ahn, Kyumin Kim, Inn-Kyu Cho, Joohee Lee, S. Suh, Seockhoon Chung","doi":"10.17241/smr.2021.01025","DOIUrl":"https://doi.org/10.17241/smr.2021.01025","url":null,"abstract":"Background and ObjectiveaaThe aim of this study is to explore the usefulness of the Stress and Anxiety to Viral Epidemic-3 items (SAVE-3) scale as a tool for assessing work-related stress inhealthcare workers.MethodsaaThere were 389 participants and all remained anonymous. The SAVE-9, the PatientHealth Questionnaire-4, the Maslach Burnout Inventory-Human Services Survey for Medical Personnel(MBI-HSS-MP), the perceived stress scale (PSS), and single item insomnia measure wereused. After checking whether the SAVE-3 scale is clustered into a sole factor from SAVE-9 scalebased on principal component analysis with promax rotation, confirmatory factor analysis (CFA)was done on the 3 items of the SAVE-3 to examine the factorial validity for a unidimensionalstructure.ResultsaaThe SAVE-3 was clustered with factor loadings from 0.664–0.752, and a CFA revealedthat 3 items of the SAVE-3 cohered together into a unidimensional construct with fit for all of indices(comparative fit index = 1.00;Tucker Lewis index = 1.031;standardized root-mean-square residual= 0.001;root-mean-square-error of approximation = 0.00). The SAVE-3 scale showed acceptablereliability (Cronbach’s α = 0.56 and McDonald’s ω = 0.57) in this sample. A high SAVE-3score correlated significantly with younger age (r = -0.12, p = 0.02), a high PSS score (r = 0.24, p <0.001), a high total score for the MBI-HSS-MP (r = 0.35, p < 0.001) and all of its subscales (emotionalexhaustion, r = 0.40, p < 0.001;personal accomplishment, r = -0.14, p < 0.005;depersonalization,r = 0.39, p < 0.001), and poor sleep quality (r = 0.15, p < 0.001).ConclusionsaaTaken together, the data suggest that SAVE-3 is a reliable, valid, and usable scalefor measuring work-related stress in healthcare workers during the COVID-19 epidemic","PeriodicalId":37318,"journal":{"name":"Sleep Medicine Research","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45778387","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}
Background and ObjectiveaaInsomnia is a common symptom that is experienced by the patients post hematopoietic stem cell transplant that interfere with recovery outcomes and patients’ quality of life. Little is known about insomnia among post hematopoietic stem cell transplant in Jordan and in other Arab countries. The purpose of the current study was to identify the levels of insomnia and the related factors in post hematopoietic stem cell transplant. MethodsaaA descriptive cross-sectional correlational design was used to guide this study. Data was collected from 163 patients by the Arabic version of the Insomnia Severity Index (ISI). ResultsaaThe participant’s average ISI was 14.06 ± 7.71 indicating sub-threshold insomnia. Regarding the insomnia levels, 23.9% of the participants reported no insomnia, 27.6% had subthreshold insomnia, 31.3% had moderate clinical insomnia, and 17.2% had severe clinical insomnia. A significant difference in insomnia levels in some related factors was reported including the higher educated patients (t = 2.40, p = 0.018), patients who received allogeneic transplants (t = -2.932, p = 0.004), and patients within a 30 days’ post-transplant (F (160, 2) = 61.03, p < 0.001). ConclusionsaaIn conclusion, the overall prevalence of insomnia among post HSCT patients was 48.5% (n = 79) that suggested clinical insomnia, and it was affected by several clinical variables. Further studies are needed to provide appropriate interventions to decrease insomnia levels among patients. Sleep Med Res
{"title":"Insomnia in Post-Hematopoietic Stem-Cell Transplant Patients in Jordan: Prevalence and Associated Factors","authors":"O. Abdalrahman, Khaled Suleiman","doi":"10.17241/smr.2021.00962","DOIUrl":"https://doi.org/10.17241/smr.2021.00962","url":null,"abstract":"Background and ObjectiveaaInsomnia is a common symptom that is experienced by the patients post hematopoietic stem cell transplant that interfere with recovery outcomes and patients’ quality of life. Little is known about insomnia among post hematopoietic stem cell transplant in Jordan and in other Arab countries. The purpose of the current study was to identify the levels of insomnia and the related factors in post hematopoietic stem cell transplant. MethodsaaA descriptive cross-sectional correlational design was used to guide this study. Data was collected from 163 patients by the Arabic version of the Insomnia Severity Index (ISI). ResultsaaThe participant’s average ISI was 14.06 ± 7.71 indicating sub-threshold insomnia. Regarding the insomnia levels, 23.9% of the participants reported no insomnia, 27.6% had subthreshold insomnia, 31.3% had moderate clinical insomnia, and 17.2% had severe clinical insomnia. A significant difference in insomnia levels in some related factors was reported including the higher educated patients (t = 2.40, p = 0.018), patients who received allogeneic transplants (t = -2.932, p = 0.004), and patients within a 30 days’ post-transplant (F (160, 2) = 61.03, p < 0.001). ConclusionsaaIn conclusion, the overall prevalence of insomnia among post HSCT patients was 48.5% (n = 79) that suggested clinical insomnia, and it was affected by several clinical variables. Further studies are needed to provide appropriate interventions to decrease insomnia levels among patients. Sleep Med Res","PeriodicalId":37318,"journal":{"name":"Sleep Medicine Research","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43750314","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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