Pub Date : 2025-03-07DOI: 10.1016/j.sleepx.2025.100139
Nadia Hussain , Amal Hussain Ibrahim Al Haddad , Saima Abbass , Zina Alfahl
Sleep quality and its relationship with glycaemic control is of particular interest in the context of geriatric diabetes. We aimed to investigate the potential impact of habitual sleep quality on glycaemic control status among geriatric patients recently diagnosed with type 2 diabetes mellitus (T2DM). A total of 193 geriatric patients recently diagnosed with T2DM in a tertiary-care hospital were selected. A developed questionnaire was used to assess various aspects of sleep quality. Glycaemic control was evaluated through fasting blood glucose levels, HbA1c measurements and number of admissions to the hospital for hypoglycaemic or hyperglycaemic episodes. Patients were divided into Poor Sleep Quality (PSQ, n = 132) and Adequate Sleep Quality (ASQ, n = 61) groups. The PSQ group exhibited significantly worse sleep outcomes, including longer sleep latency (35 ± 9.2 min vs. 15 ± 6.4 min), shorter sleep duration (5 h 42 min vs. 7 h 18 min) and greater use of sleep medications (72 % vs. 22 %). Glycaemic control, measured by HbA1c, was worse in the PSQ group (8.7 ± 1.9 vs. 7.2 ± 1.2; p < 0.01), which also had more frequent severe hypoglycaemic (35 ± 1.4 vs. 8 ± 2.1; p = 0.02) and ketoacidotic episodes (72 ± 1.0 vs. 5 ± 1.1; p = 0.01). These findings suggest an association between poor sleep quality and poorer glycaemic control, with more frequent diabetes-related complications, highlighting the need for further research to explore potential causal relationships and targeted interventions in this population.
睡眠质量及其与血糖控制的关系是在老年糖尿病的背景下特别感兴趣。我们旨在研究习惯性睡眠质量对新近诊断为2型糖尿病(T2DM)的老年患者血糖控制状况的潜在影响。本研究选取了193例新近在三级医院诊断为2型糖尿病的老年患者。一份开发好的问卷用于评估睡眠质量的各个方面。通过空腹血糖水平、糖化血红蛋白(HbA1c)测量和低血糖或高血糖发作入院次数来评估血糖控制。将患者分为睡眠质量差组(PSQ, n = 132)和睡眠质量足组(ASQ, n = 61)。PSQ组表现出明显更差的睡眠结果,包括更长的睡眠潜伏期(35±9.2分钟对15±6.4分钟),更短的睡眠时间(5小时42分钟对7小时18分钟)和更多的睡眠药物使用(72%对22%)。糖化血红蛋白(HbA1c)测量的血糖控制在PSQ组更差(8.7±1.9 vs. 7.2±1.2;p & lt;0.01),严重低血糖发生率也更高(35±1.4∶8±2.1;P = 0.02)和酮症酸中毒发作(72±1.0∶5±1.1;p = 0.01)。这些发现表明睡眠质量差与血糖控制差之间存在关联,糖尿病相关并发症更频繁,强调需要进一步研究以探索潜在的因果关系和针对这一人群的有针对性的干预措施。
{"title":"The potential impact of habitual sleep quality on glycaemic control and inflammation: A study on geriatric patients recently diagnosed with type 2 diabetes mellitus (T2DM)","authors":"Nadia Hussain , Amal Hussain Ibrahim Al Haddad , Saima Abbass , Zina Alfahl","doi":"10.1016/j.sleepx.2025.100139","DOIUrl":"10.1016/j.sleepx.2025.100139","url":null,"abstract":"<div><div>Sleep quality and its relationship with glycaemic control is of particular interest in the context of geriatric diabetes. We aimed to investigate the potential impact of habitual sleep quality on glycaemic control status among geriatric patients recently diagnosed with type 2 diabetes mellitus (T2DM). A total of 193 geriatric patients recently diagnosed with T2DM in a tertiary-care hospital were selected. A developed questionnaire was used to assess various aspects of sleep quality. Glycaemic control was evaluated through fasting blood glucose levels, HbA1c measurements and number of admissions to the hospital for hypoglycaemic or hyperglycaemic episodes. Patients were divided into Poor Sleep Quality (PSQ, n = 132) and Adequate Sleep Quality (ASQ, n = 61) groups. The PSQ group exhibited significantly worse sleep outcomes, including longer sleep latency (35 ± 9.2 min vs. 15 ± 6.4 min), shorter sleep duration (5 h 42 min vs. 7 h 18 min) and greater use of sleep medications (72 % vs. 22 %). Glycaemic control, measured by HbA1c, was worse in the PSQ group (8.7 ± 1.9 vs. 7.2 ± 1.2; p < 0.01), which also had more frequent severe hypoglycaemic (35 ± 1.4 vs. 8 ± 2.1; p = 0.02) and ketoacidotic episodes (72 ± 1.0 vs. 5 ± 1.1; p = 0.01). These findings suggest an association between poor sleep quality and poorer glycaemic control, with more frequent diabetes-related complications, highlighting the need for further research to explore potential causal relationships and targeted interventions in this population.</div></div>","PeriodicalId":37065,"journal":{"name":"Sleep Medicine: X","volume":"9 ","pages":"Article 100139"},"PeriodicalIF":0.0,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143591634","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-16DOI: 10.1016/j.sleepx.2025.100138
Mari Hysing , Allison G. Harvey , Ann Kristin Skrindo Knudsen , Jens C. Skogen , Anne Reneflot , Børge Sivertsen
Background
Depression and anxiety disorders are highly prevalent among young adults, with evidence suggesting sleep problems as key risk factors.
Objective
This study aimed to examine the association between insomnia and sleep characteristics with major depressive episode (MDE) and anxiety disorders, and the association after accounting for baseline mental health symptoms.
Methods
We conducted a prospective cohort study using data from the Students’ Health and Wellbeing Study (SHoT), surveying Norwegian higher education students aged 18 to 35 (N = 53,362). A diagnostic assessment of 10,460 participants was conducted in 2023. Self-reported insomnia, sleep duration, sleep onset latency, and wake after sleep onset were recorded in 2022. MDE and five types of anxiety disorders were assessed after one year using a self-administered CIDI 5.0. Analyses adjusted for age, sex, baseline mental health symptoms, and somatic conditions.
Results
Insomnia in young adults was associated with a significantly increased risk of MDE (adjusted RR = 3.50, 95 % CI = 3.18–3.84) and generalized anxiety disorder (GAD) (adjusted RR = 2.82, 95 % CI = 2.55–3.12) one year later. Sleep duration showed a reversed J-shaped association with mental disorders, with both short and, to a lesser extent, long sleep durations linked to elevated risks, even after adjusting for baseline mental health symptoms and somatic conditions. Although the associations were attenuated after adjustment, they remained statistically significant.
Conclusion
Sleep disturbances, including insomnia and abnormal sleep durations, predict mental health issues in young adults, even after accounting for baseline mental health and somatic health. Addressing sleep problems early may help prevent subsequent mental health conditions in this population.
抑郁症和焦虑症在年轻人中非常普遍,有证据表明睡眠问题是关键的风险因素。目的本研究旨在探讨失眠和睡眠特征与重度抑郁发作(MDE)和焦虑障碍之间的关系,以及在考虑基线心理健康症状后的相关性。方法采用学生健康与幸福研究(SHoT)的数据进行前瞻性队列研究,调查挪威18至35岁的高等教育学生(N = 53,362)。2023年对10460名参与者进行了诊断评估。在2022年记录了自我报告的失眠症、睡眠持续时间、睡眠开始潜伏期和睡眠开始后醒来。一年后使用自我管理的CIDI 5.0对MDE和五种焦虑症进行评估。分析调整了年龄、性别、基线心理健康症状和躯体状况。结果青年睡眠与一年后MDE(校正RR = 3.50, 95% CI = 3.18-3.84)和广泛性焦虑障碍(GAD)(校正RR = 2.82, 95% CI = 2.55-3.12)的风险显著增加相关。睡眠时间与精神障碍呈反j型关系,即使在调整了基线精神健康症状和躯体状况之后,短睡眠时间和较长睡眠时间都与风险增加有关。虽然调整后相关性减弱,但仍具有统计学意义。结论:即使在考虑了基线心理健康和躯体健康后,包括失眠和异常睡眠持续时间在内的睡眠障碍仍可预测年轻人的心理健康问题。尽早解决睡眠问题可能有助于预防这一人群随后出现的精神健康问题。
{"title":"Mind at rest, mind at risk: A prospective population-based study of sleep and subsequent mental disorders","authors":"Mari Hysing , Allison G. Harvey , Ann Kristin Skrindo Knudsen , Jens C. Skogen , Anne Reneflot , Børge Sivertsen","doi":"10.1016/j.sleepx.2025.100138","DOIUrl":"10.1016/j.sleepx.2025.100138","url":null,"abstract":"<div><h3>Background</h3><div>Depression and anxiety disorders are highly prevalent among young adults, with evidence suggesting sleep problems as key risk factors.</div></div><div><h3>Objective</h3><div>This study aimed to examine the association between insomnia and sleep characteristics with major depressive episode (MDE) and anxiety disorders, and the association after accounting for baseline mental health symptoms.</div></div><div><h3>Methods</h3><div>We conducted a prospective cohort study using data from the Students’ Health and Wellbeing Study (SHoT), surveying Norwegian higher education students aged 18 to 35 (N = 53,362). A diagnostic assessment of 10,460 participants was conducted in 2023. Self-reported insomnia, sleep duration, sleep onset latency, and wake after sleep onset were recorded in 2022. MDE and five types of anxiety disorders were assessed after one year using a self-administered CIDI 5.0. Analyses adjusted for age, sex, baseline mental health symptoms, and somatic conditions.</div></div><div><h3>Results</h3><div>Insomnia in young adults was associated with a significantly increased risk of MDE (adjusted RR = 3.50, 95 % CI = 3.18–3.84) and generalized anxiety disorder (GAD) (adjusted RR = 2.82, 95 % CI = 2.55–3.12) one year later. Sleep duration showed a reversed J-shaped association with mental disorders, with both short and, to a lesser extent, long sleep durations linked to elevated risks, even after adjusting for baseline mental health symptoms and somatic conditions. Although the associations were attenuated after adjustment, they remained statistically significant.</div></div><div><h3>Conclusion</h3><div>Sleep disturbances, including insomnia and abnormal sleep durations, predict mental health issues in young adults, even after accounting for baseline mental health and somatic health. Addressing sleep problems early may help prevent subsequent mental health conditions in this population.</div></div>","PeriodicalId":37065,"journal":{"name":"Sleep Medicine: X","volume":"9 ","pages":"Article 100138"},"PeriodicalIF":0.0,"publicationDate":"2025-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143169287","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-20DOI: 10.1016/j.sleepx.2024.100137
Giovana Longo-Silva , Renan Serenini , Roberto Antunes , Márcia Lima , Anny Pedrosa , Risia Menezes
Objective
To examine the influence of latitude, longitude, sunrise, and daylight, in conjunction with individual and behavioral factors, on sleep duration, wake time, and bedtime in a country with the world's broadest latitude range, yet characterized by homogeneity in language, cultural traits, and consistent time zones.
Methods
Participants (n = 1440; 18-65y) were part of a virtual population-based survey (2021–22). Sleep patterns were spatially represented through maps using Multilevel B-spline Interpolation. Relationships between and within biological/personal/socio-economic, behavioral and environment characteristics, and sleep outcomes were examined by Lasso regression. Restricted cubic splines were employed to examine the shape of the association of latitude and sunrise with sleep variables and of screen time before bed with bedtime.
Results
Latitude emerged as the primary geographic factor influencing variations in sleep duration and wake time, shortening and advancing, respectively, as latitude increased (towards equatorial line). Younger individuals, those living without partners, with depression, engaging in more frequent evening alcohol consumption, and with poorer diet quality, tended to wake up later. All the variables influenced bedtime, with daylight emerging as the environmental factor exerting the strongest association. While the variability in bedtime showed a non-linear association with latitude and sunrise, it displayed a dose-response relationship with screen time before bed.
Conclusions
Given that adults living in the same country, potentially with a similar timetable, could be having shorter sleep durations according to their latitude position, further studies are required to contemplate advocating for policies that implement schedules based on the sun position rather than the national time zone.
{"title":"Determinants of variations in sleep patterns across Brazil: Exploring geographic influences","authors":"Giovana Longo-Silva , Renan Serenini , Roberto Antunes , Márcia Lima , Anny Pedrosa , Risia Menezes","doi":"10.1016/j.sleepx.2024.100137","DOIUrl":"10.1016/j.sleepx.2024.100137","url":null,"abstract":"<div><h3>Objective</h3><div>To examine the influence of latitude, longitude, sunrise, and daylight, in conjunction with individual and behavioral factors, on sleep duration, wake time, and bedtime in a country with the world's broadest latitude range, yet characterized by homogeneity in language, cultural traits, and consistent time zones.</div></div><div><h3>Methods</h3><div>Participants (n = 1440; 18-65y) were part of a virtual population-based survey (2021–22). Sleep patterns were spatially represented through maps using Multilevel B-spline Interpolation. Relationships between and within biological/personal/socio-economic, behavioral and environment characteristics, and sleep outcomes were examined by Lasso regression. Restricted cubic splines were employed to examine the shape of the association of latitude and sunrise with sleep variables and of screen time before bed with bedtime.</div></div><div><h3>Results</h3><div>Latitude emerged as the primary geographic factor influencing variations in sleep duration and wake time, shortening and advancing, respectively, as latitude increased (towards equatorial line). Younger individuals, those living without partners, with depression, engaging in more frequent evening alcohol consumption, and with poorer diet quality, tended to wake up later. All the variables influenced bedtime, with daylight emerging as the environmental factor exerting the strongest association. While the variability in bedtime showed a non-linear association with latitude and sunrise, it displayed a dose-response relationship with screen time before bed.</div></div><div><h3>Conclusions</h3><div>Given that adults living in the same country, potentially with a similar timetable, could be having shorter sleep durations according to their latitude position, further studies are required to contemplate advocating for policies that implement schedules based on the sun position rather than the national time zone.</div></div>","PeriodicalId":37065,"journal":{"name":"Sleep Medicine: X","volume":"9 ","pages":"Article 100137"},"PeriodicalIF":0.0,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11754823/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143029657","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-19DOI: 10.1016/j.sleepx.2024.100136
Adina Arshad , Muhammad Abdul Muqtadir Qureshi , Muhammad Abdullah Masood , Hafiz Shahbaz Zahoor , Ayesha Nazakat , Anfal Fatima , Javed Iqbal
Background
Narcolepsy, a central hypersomnolence disorder, disrupts sleep regulation. Sodium oxybate, a CNS (central nervous system) depressant, is widely used as a treatment, but there are surprisingly very few rigorous studies comparing its effectiveness to placebo in adults.
Objectives
To measure the comparative efficacy of sodium oxybate at a dosage regimen of 9 g versus placebo in improving nighttime sleep quality, reducing nocturnal arousals and sleep stage shifts, and enhancing the overall refreshed nature of sleep in adult patients with narcolepsy.
Methods
The methodology included a literature review of PubMed, Cochrane, Scopus, Google Scholar, and Clinicaltrials.gov, retrieving 53 randomized controlled trials (RCT) after removing 14 duplicates. Four studies met the criteria for gauging the efficacy of sodium oxybate compared to placebo in the adult population with narcolepsy. The primary efficacy outcome was improved sleep quality, whereas secondary outcomes were reduced nocturnal arousals and sleep stage shifts with an overall refreshed sleep nature. Analyses used RevMan 5.3 software, and SMD (standardized mean differences) with 95 % CI (confidence intervals) were calculated. Risk and publication biases were measured with Cochrane risk of bias tools and Comprehensive Meta-Analysis Software. Evidence certainty was measured using GRADEpro.
Results
Four RCT involving 1079 participants were analyzed for said outcomes, and relevant forest plots were generated. Statistical analysis showed a substantial improvement in sleep quality [SMD = 0.74(95%Cl:0.53,0.95; p < 0.00001; I2 = 0 %; (high certainty)] and refreshing nature of sleep [SMD = 0.81(95%CI:0.51,1.11; P < 0.00001; I2 = 0 %; (moderate certainty)], reduction in nocturnal arousals [SMD = −0.62(95%CI: 0.92,-0.32; p < 0.00001; I2 = 0 %; (moderate certainty)] and sleep stage shifts [SMD = −1.22(95%CI: 1.46,-0.98; p < 0.00001; I2 = 0 %; (high certainty)]. The risk of bias was located high for one study. Symmetrical funnel plots and Egger's regression intercepts testified to no significant publication bias.
Conclusions
The results showed that sodium oxybate considerably improved the quality of nocturnal sleep, resulting in substantial restorative advantages as well as a decrease in nocturnal arousals and sleep stage transitions. Significant results with low heterogeneity and p-values <0.05, showing consistent effects, were obtained from the analysis. However, overall reliability may be impacted by a high risk of bias in one study.
{"title":"Comparative efficacy of sodium oxybate versus placebo on improvement of nighttime sleep in adult patients with narcolepsy: A systematic review and meta-analysis","authors":"Adina Arshad , Muhammad Abdul Muqtadir Qureshi , Muhammad Abdullah Masood , Hafiz Shahbaz Zahoor , Ayesha Nazakat , Anfal Fatima , Javed Iqbal","doi":"10.1016/j.sleepx.2024.100136","DOIUrl":"10.1016/j.sleepx.2024.100136","url":null,"abstract":"<div><h3>Background</h3><div>Narcolepsy, a central hypersomnolence disorder, disrupts sleep regulation. Sodium oxybate, a CNS (central nervous system) depressant, is widely used as a treatment, but there are surprisingly very few rigorous studies comparing its effectiveness to placebo in adults.</div></div><div><h3>Objectives</h3><div>To measure the comparative efficacy of sodium oxybate at a dosage regimen of 9 g versus placebo in improving nighttime sleep quality, reducing nocturnal arousals and sleep stage shifts, and enhancing the overall refreshed nature of sleep in adult patients with narcolepsy.</div></div><div><h3>Methods</h3><div>The methodology included a literature review of PubMed, Cochrane, Scopus, Google Scholar, and Clinicaltrials.gov, retrieving 53 randomized controlled trials (RCT) after removing 14 duplicates. Four studies met the criteria for gauging the efficacy of sodium oxybate compared to placebo in the adult population with narcolepsy. The primary efficacy outcome was improved sleep quality, whereas secondary outcomes were reduced nocturnal arousals and sleep stage shifts with an overall refreshed sleep nature. Analyses used RevMan 5.3 software, and SMD (standardized mean differences) with 95 % CI (confidence intervals) were calculated. Risk and publication biases were measured with Cochrane risk of bias tools and Comprehensive Meta-Analysis Software. Evidence certainty was measured using GRADEpro.</div></div><div><h3>Results</h3><div>Four RCT involving 1079 participants were analyzed for said outcomes, and relevant forest plots were generated. Statistical analysis showed a substantial improvement in sleep quality [SMD = 0.74(95%Cl:0.53,0.95; p < 0.00001; I<sup>2</sup> = 0 %; (high certainty)] and refreshing nature of sleep [SMD = 0.81(95%CI:0.51,1.11; P < 0.00001; I<sup>2</sup> = 0 %; (moderate certainty)], reduction in nocturnal arousals [SMD = −0.62(95%CI: 0.92,-0.32; p < 0.00001; I<sup>2</sup> = 0 %; (moderate certainty)] and sleep stage shifts [SMD = −1.22(95%CI: 1.46,-0.98; p < 0.00001; I<sup>2</sup> = 0 %; (high certainty)]. The risk of bias was located high for one study. Symmetrical funnel plots and Egger's regression intercepts testified to no significant publication bias.</div></div><div><h3>Conclusions</h3><div>The results showed that sodium oxybate considerably improved the quality of nocturnal sleep, resulting in substantial restorative advantages as well as a decrease in nocturnal arousals and sleep stage transitions. Significant results with low heterogeneity and p-values <0.05, showing consistent effects, were obtained from the analysis. However, overall reliability may be impacted by a high risk of bias in one study.</div></div>","PeriodicalId":37065,"journal":{"name":"Sleep Medicine: X","volume":"9 ","pages":"Article 100136"},"PeriodicalIF":0.0,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11728066/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142984104","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-15DOI: 10.1016/j.sleepx.2024.100131
Sara Girolami, Marta Tardio, Serpetti Loredana, Nadia Di Mattia, Pamela Micheletti, Mario Di Napoli
{"title":"Erratum to “Sleep body position correlates with cognitive performance in middle-old obstructive sleep apnea subjects” [Sleep Med: X 4 (2022) 100050]","authors":"Sara Girolami, Marta Tardio, Serpetti Loredana, Nadia Di Mattia, Pamela Micheletti, Mario Di Napoli","doi":"10.1016/j.sleepx.2024.100131","DOIUrl":"10.1016/j.sleepx.2024.100131","url":null,"abstract":"","PeriodicalId":37065,"journal":{"name":"Sleep Medicine: X","volume":"8 ","pages":"Article 100131"},"PeriodicalIF":0.0,"publicationDate":"2024-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143097921","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Erratum to “The importance of sleep studies in improving the health indices of a nation” [Sleep Med: X 4 (2022) 100049]","authors":"Jitendra Kumar Sinha , Kshitij Vashisth , Shampa Ghosh","doi":"10.1016/j.sleepx.2024.100130","DOIUrl":"10.1016/j.sleepx.2024.100130","url":null,"abstract":"","PeriodicalId":37065,"journal":{"name":"Sleep Medicine: X","volume":"8 ","pages":"Article 100130"},"PeriodicalIF":0.0,"publicationDate":"2024-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143141245","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-15DOI: 10.1016/j.sleepx.2024.100132
Raquel S.M. Zarpellon , Dra Regina M. Vilela , Fernando Mazzilli Louzada , Dra Rosana B. Radominski , Dra Ana Chrystina de Souza Crippa
{"title":"Erratum to “Association of food intake with sleep disorders in children and adolescents with obesity” [Sleep Med: X 4 (2022) 100053]","authors":"Raquel S.M. Zarpellon , Dra Regina M. Vilela , Fernando Mazzilli Louzada , Dra Rosana B. Radominski , Dra Ana Chrystina de Souza Crippa","doi":"10.1016/j.sleepx.2024.100132","DOIUrl":"10.1016/j.sleepx.2024.100132","url":null,"abstract":"","PeriodicalId":37065,"journal":{"name":"Sleep Medicine: X","volume":"8 ","pages":"Article 100132"},"PeriodicalIF":0.0,"publicationDate":"2024-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143141246","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-27DOI: 10.1016/j.sleepx.2024.100135
Nathalea Spode de Arruda , Alessandra Hofstadler Deiques Fleig , Charles Rech , Carine Cristina Callegaro
Objective
This study aimed to compare the prevalence of insomnia, lung function, inspiratory muscle function, functional capacity, and quality of life in individuals with and without post-COVID-19 fatigue.
Methods
Thirty-four post-COVID-19 individuals participated in the study, 20 with fatigue (32 ± 12 years old, 15% male) and 14 without fatigue (31 ± 12 years old, 42.9% male). The Chalder Fatigue Scale (CFS) was employed to categorize the volunteers into two groups: those with fatigue (score ≥4) and those without fatigue (score <4). The Insomnia Severity Index (ISI) and the Epworth Sleepiness Scale (ESS) were used to assess insomnia and excessive daytime sleepiness, respectively. Pulmonary function was evaluated by spirometry, inspiratory muscle strength was assessed by the maximum inspiratory pressure (MIP), and inspiratory endurance was evaluated by maintaining an inspiratory load of 60% of MIP until fatigue. The 6-min walk test (6MWT) was used to evaluated functional capacity, while the WHOQOL-BREF questionnaire assessed quality of life.
Results
Individuals with post-COVID-19 fatigue demonstrated a higher prevalence of insomnia (80% vs. 49%) and excessive daytime sleepiness (45% vs. 7%), as well as lower MIP, shorter distance covered in the 6MWT, and lower FEV1/FVC (forced expired volume in the first second divided by forced vital capacity), and FEV1/FVC% of predicted. Additionally, they exhibited poorer quality of life in the physical and environmental domains. CFS demonstrated a direct correlation with ISI (r=0.436, p=0.01) and ESS (r=0.593, p=0.001), as well as an inverse correlation with the distance covered in the 6MWT (r=-0.398, p=0.022) and FEV1 (r=-0.412, p=0.01). ISI was an independent predictor of CFS, with 62% of CFS variance explained by ISI variance.
Conclusion
Individuals with symptoms of post-COVID-19 fatigue may have a higher prevalence of insomnia, reduced inspiratory muscle strength, functional capacity, and Tiffeneau index, along with impaired quality of life. ISI is an independent predictor of post-COVID-19 fatigue.
{"title":"Insomnia, cardiorespiratory function and quality of life in individuals with post-COVID-19 fatigue","authors":"Nathalea Spode de Arruda , Alessandra Hofstadler Deiques Fleig , Charles Rech , Carine Cristina Callegaro","doi":"10.1016/j.sleepx.2024.100135","DOIUrl":"10.1016/j.sleepx.2024.100135","url":null,"abstract":"<div><h3>Objective</h3><div>This study aimed to compare the prevalence of insomnia, lung function, inspiratory muscle function, functional capacity, and quality of life in individuals with and without post-COVID-19 fatigue.</div></div><div><h3>Methods</h3><div>Thirty-four post-COVID-19 individuals participated in the study, 20 with fatigue (32 ± 12 years old, 15% male) and 14 without fatigue (31 ± 12 years old, 42.9% male). The Chalder Fatigue Scale (CFS) was employed to categorize the volunteers into two groups: those with fatigue (score ≥4) and those without fatigue (score <4). The Insomnia Severity Index (ISI) and the Epworth Sleepiness Scale (ESS) were used to assess insomnia and excessive daytime sleepiness, respectively. Pulmonary function was evaluated by spirometry, inspiratory muscle strength was assessed by the maximum inspiratory pressure (MIP), and inspiratory endurance was evaluated by maintaining an inspiratory load of 60% of MIP until fatigue. The 6-min walk test (6MWT) was used to evaluated functional capacity, while the WHOQOL-BREF questionnaire assessed quality of life.</div></div><div><h3>Results</h3><div>Individuals with post-COVID-19 fatigue demonstrated a higher prevalence of insomnia (80% vs. 49%) and excessive daytime sleepiness (45% vs. 7%), as well as lower MIP, shorter distance covered in the 6MWT, and lower FEV<sub>1</sub>/FVC (forced expired volume in the first second divided by forced vital capacity), and FEV<sub>1</sub>/FVC% of predicted. Additionally, they exhibited poorer quality of life in the physical and environmental domains. CFS demonstrated a direct correlation with ISI (r=0.436, p=0.01) and ESS (r=0.593, p=0.001), as well as an inverse correlation with the distance covered in the 6MWT (r=-0.398, p=0.022) and FEV<sub>1</sub> (r=-0.412, p=0.01). ISI was an independent predictor of CFS, with 62% of CFS variance explained by ISI variance.</div></div><div><h3>Conclusion</h3><div>Individuals with symptoms of post-COVID-19 fatigue may have a higher prevalence of insomnia, reduced inspiratory muscle strength, functional capacity, and Tiffeneau index, along with impaired quality of life. ISI is an independent predictor of post-COVID-19 fatigue.</div></div>","PeriodicalId":37065,"journal":{"name":"Sleep Medicine: X","volume":"9 ","pages":"Article 100135"},"PeriodicalIF":0.0,"publicationDate":"2024-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143169798","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Smartphone use has become widespread and continues to grow rapidly. Medical students, already highly susceptible to sleep deprivation, may experience exacerbated issues due to smartphone usage, particularly at bedtime. Therefore, understanding the potential negative impacts of this behavior is crucial. This study aims to assess the prevalence and risk factors of sleep quality among medical students bed time smart phone users in Ethiopia.
Subject and methods
An institutional-based cross-sectional study design was employed, involving 354 undergraduate medical students selected through simple random sampling from Debre Marko's University, the University of Gondar, and Debre Berhan University. Data were collected using the Pittsburgh Sleep Quality Index and structured interviews. Variables with a p-value of ≤0.2 in bivariable regression were included in multivariable logistic regression. Crude odds ratios and adjusted odds ratios were calculated, while chi-square tests were used to assess assumptions. In multivariable regression, variables with a p-value of ≤0.05 were deemed significant predictors at the 95 % confidence interval.
Result
The results showed that among bedtime smartphone users, 67.52 % had a poor sleep quality index greater than 5. Poor sleep quality was significantly linked to factors such as sex, regular coffee consumption, the purpose of smartphone use, phone position during use, the duration of smartphone use, and a history of disease. Social media usage was the most common activity, accounting for 41.60 % of smartphone use, followed by watching videos (21.65 %).
Conclusion
This study highlights the detrimental effects of bedtime smartphone use on sleep quality, which subsequently impacts mental. Given these findings, it is strongly recommended that medical students reduce their smartphone use before bedtime to improve their sleep quality.
{"title":"Poor sleep quality among bedtime smartphone user medical students in Ethiopia, 2024","authors":"Dereje Esubalew , Amare Mebrat Delie , Liknaw Workie Limenh , Nigus Kassie Worku , Eneyew Talie Fenta , Mickiale Hailu , Alemwork Abie , Molla Getie Mehari , Tenagnework Eseyneh Dagnaw , Mihret Melese","doi":"10.1016/j.sleepx.2024.100134","DOIUrl":"10.1016/j.sleepx.2024.100134","url":null,"abstract":"<div><h3>Background</h3><div>Smartphone use has become widespread and continues to grow rapidly. Medical students, already highly susceptible to sleep deprivation, may experience exacerbated issues due to smartphone usage, particularly at bedtime. Therefore, understanding the potential negative impacts of this behavior is crucial. This study aims to assess the prevalence and risk factors of sleep quality among medical students bed time smart phone users in Ethiopia.</div></div><div><h3>Subject and methods</h3><div>An institutional-based cross-sectional study design was employed, involving 354 undergraduate medical students selected through simple random sampling from Debre Marko's University, the University of Gondar, and Debre Berhan University. Data were collected using the Pittsburgh Sleep Quality Index and structured interviews. Variables with a p-value of ≤0.2 in bivariable regression were included in multivariable logistic regression. Crude odds ratios and adjusted odds ratios were calculated, while chi-square tests were used to assess assumptions. In multivariable regression, variables with a p-value of ≤0.05 were deemed significant predictors at the 95 % confidence interval.</div></div><div><h3>Result</h3><div>The results showed that among bedtime smartphone users, 67.52 % had a poor sleep quality index greater than 5. Poor sleep quality was significantly linked to factors such as sex, regular coffee consumption, the purpose of smartphone use, phone position during use, the duration of smartphone use, and a history of disease. Social media usage was the most common activity, accounting for 41.60 % of smartphone use, followed by watching videos (21.65 %).</div></div><div><h3>Conclusion</h3><div>This study highlights the detrimental effects of bedtime smartphone use on sleep quality, which subsequently impacts mental. Given these findings, it is strongly recommended that medical students reduce their smartphone use before bedtime to improve their sleep quality.</div></div>","PeriodicalId":37065,"journal":{"name":"Sleep Medicine: X","volume":"8 ","pages":"Article 100134"},"PeriodicalIF":0.0,"publicationDate":"2024-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142721558","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-03DOI: 10.1016/j.sleepx.2024.100133
Ernani Tiaraju de Santa Helena , Nicolas Boeira Machado , Rafael Tadao Sakae , Clovis Arlindo de Sousa , Carlos Roberto de Oliveira Nunes , Henry Völzke , Ralf Ewert , Marcello Ricardo Paulista Markus
Objective
To analyze sleep quality and associated socio-demographic and lifestyle factors in participants from a city originally colonised by Germans in southern Brazil.
Methods
A cross-sectional population-based study of 2333 individuals aged 20 to 79 years. Data was collected by interview using a structured questionnaire. Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI) questionnaire. The prevalence of poor sleep quality (PSQI score five or more) was estimated and the associations with study variables were measured by crude and adjusted prevalence ratios using Poisson regression.
Results
participants were mostly women (50.9 %), with an average age of 43.3 years. The median total PSQI score was 4 (IQ = 3-7). The frequency of poor sleep quality was 32.7 % (95 % CI 30.7-34.4), higher in older adults (44.0 % vs 30.7 %; p<0.001) and women (40.0 % vs 25.2 %; p<0.001). Multivariate analysis showed that women (PR = 1.3; 95%CI 1.1- 1.5; p<0.001), former smokers (PR = 1.2; 95%CI 1.0-1.4; p = 0.014), current smokers (PR = 1.3; 95%CI 1.1-1.5; p = 0.006), depression (PR = 1.5; 95%CI 1.3-1.7; p<0.001), taking 5 or more medications (PR = 1.2; 95%CI 1.1-1.4; p = 0.001), self-perceived fair health (PR = 2.1; 95%CI 1.8-2.4; p<0.001) or poor/very poor health (PR = 2.6; 95%CI 2.1-3.1; p<0.001) were risk factors for poor sleep quality. Germanic culture (PR = 0.8; 95%CI 0.7-0.9; p<0.001), high school (PR = 0.8; 95%CI 0.6–1.0; p = 0.046) or elementary school (PR = 0.7; 95%CI 0.6-1.0; p = 0.025) or being at work (RP = 0.8; 95%CI 0.7-0.9; p = 0.002) were inversely associated with poor sleep quality.
Conclusions
Women, older adults and some clinical, social, cultural and behavioural conditions are associated with poor sleep quality.
{"title":"Sleep quality and associated factors in adults living in the southern Brazil: A population-based study","authors":"Ernani Tiaraju de Santa Helena , Nicolas Boeira Machado , Rafael Tadao Sakae , Clovis Arlindo de Sousa , Carlos Roberto de Oliveira Nunes , Henry Völzke , Ralf Ewert , Marcello Ricardo Paulista Markus","doi":"10.1016/j.sleepx.2024.100133","DOIUrl":"10.1016/j.sleepx.2024.100133","url":null,"abstract":"<div><h3>Objective</h3><div>To analyze sleep quality and associated socio-demographic and lifestyle factors in participants from a city originally colonised by Germans in southern Brazil.</div></div><div><h3>Methods</h3><div>A cross-sectional population-based study of 2333 individuals aged 20 to 79 years. Data was collected by interview using a structured questionnaire. Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI) questionnaire. The prevalence of poor sleep quality (PSQI score five or more) was estimated and the associations with study variables were measured by crude and adjusted prevalence ratios using Poisson regression.</div></div><div><h3>Results</h3><div>participants were mostly women (50.9 %), with an average age of 43.3 years. The median total PSQI score was 4 (IQ = 3-7). The frequency of poor sleep quality was 32.7 % (95 % CI 30.7-34.4), higher in older adults (44.0 % vs 30.7 %; p<0.001) and women (40.0 % vs 25.2 %; p<0.001). Multivariate analysis showed that women (PR = 1.3; 95%CI 1.1- 1.5; p<0.001), former smokers (PR = 1.2; 95%CI 1.0-1.4; p = 0.014), current smokers (PR = 1.3; 95%CI 1.1-1.5; p = 0.006), depression (PR = 1.5; 95%CI 1.3-1.7; p<0.001), taking 5 or more medications (PR = 1.2; 95%CI 1.1-1.4; p = 0.001), self-perceived fair health (PR = 2.1; 95%CI 1.8-2.4; p<0.001) or poor/very poor health (PR = 2.6; 95%CI 2.1-3.1; p<0.001) were risk factors for poor sleep quality. Germanic culture (PR = 0.8; 95%CI 0.7-0.9; p<0.001), high school (PR = 0.8; 95%CI 0.6–1.0; p = 0.046) or elementary school (PR = 0.7; 95%CI 0.6-1.0; p = 0.025) or being at work (RP = 0.8; 95%CI 0.7-0.9; p = 0.002) were inversely associated with poor sleep quality.</div></div><div><h3>Conclusions</h3><div>Women, older adults and some clinical, social, cultural and behavioural conditions are associated with poor sleep quality.</div></div>","PeriodicalId":37065,"journal":{"name":"Sleep Medicine: X","volume":"8 ","pages":"Article 100133"},"PeriodicalIF":0.0,"publicationDate":"2024-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142651715","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}