Sleep Science最新文献

{"title":"The Effects of Experimental Sleep Extension in Middle-to-Older-Aged Healthy Sleepers.","authors":"Alexandria M Reynolds, Zachary R Seymour, Imran H Iftikhar, M Michele Burnette, Jennifer M C Vendemia, Shawn D Youngstedt","doi":"10.1055/s-0044-1782525","DOIUrl":"10.1055/s-0044-1782525","url":null,"abstract":"<p><p><b>Objectives</b>  To determine the feasibility for middle-aged and older adults to extend their time in bed by 2 h per night for 3 consecutive weeks. Other aims were to examine the effects of sleep extension on mood, cognitive performance, and cardiovascular health. <b>Methods</b>  Ten healthy middle-aged to older adults (9 women; <i>M</i>  = 65.20 ± 4.78 years) who reported regularly sleeping 6 to 8 h per night participated in a randomized controlled cross-over study: 3 weeks of both habitual sleep and extended sleep (1-week recovery between treatments). Participants were asked to spend 2 additional hours in bed per night during sleep extension. Cognitive (e.g., errors, response time), psychological (e.g., depression, anxiety, mood), and physiological measures (e.g., inflammation, glucose, triglycerides, blood pressure) were assessed. <b>Results</b>  Compared with habitual sleep, time in bed increased 81.63 ± 33.11 min and total sleep time increased 66.33 ± 28.64 min during sleep extension; these variables did not significantly change during baseline or the habitual sleep treatment. No significant treatment differences were found in the cognitive, psychological, or physiological measures. <b>Discussion</b>  Neither significant positive nor negative effects of sleep extension were found for any of the variables. In terms of feasibility, it was difficult for the participants to extend their time in bed and, subsequently, attain more sleep by the targeted amount. Sleep extension by a greater degree or longer period of times might be more likely to elicit positive or negative effects.</p>","PeriodicalId":21848,"journal":{"name":"Sleep Science","volume":"17 4","pages":"e357-e369"},"PeriodicalIF":1.0,"publicationDate":"2024-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11651830/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142855351","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":"Sleep Quality and its Predictors in Brazilian Marines.","authors":"Guillermo Brito Portugal, Fabrícia Geralda Ferreira, Carlos Magno Amaral Costa, Vinicius de Oliveira Damasceno, Leonice Aparecida Doimo","doi":"10.1055/s-0044-1787529","DOIUrl":"https://doi.org/10.1055/s-0044-1787529","url":null,"abstract":"<p><p><b>Objectives</b>  The objective of this study was to evaluate the quality of sleep and its associated factors in marines ( <i>Fuzileiros Navais - FN</i> ) of the Brazilian Navy. <b>Material and Methods</b>  The participants included 1,248 military personnel who responded remotely to the following instruments: anamnesis, Pittsburgh Sleep Quality Index, Epworth Sleepiness Scale, International Physical Activity Questionnaire, Eating Habits Scale, and the K10 Questionnaire. Anthropometric information was obtained from a database. Subgroup analysis (good x poor sleep) and regression analysis were performed to verify the factors associated with poor sleep quality. <b>Results</b>  A total of 74.12% of the military were characterized by poor sleep quality. There were differences between sleep quality and sociodemographic, behavioral, and professional factors. Age, being an Officer, and physical activity were protective factors, while living with young children, having more energy in the evening, daytime sleepiness, having problems at work, distress, and regular eating habits were predisposing to poor sleep. <b>Discussion</b>  Marines of the Brazilian Navy have a high prevalence of poor sleep quality associated with personal, family, and occupational factors as contributors to the problem, indicating the need to develop health actions that favor good sleep hygiene in these professionals.</p>","PeriodicalId":21848,"journal":{"name":"Sleep Science","volume":"18 1","pages":"e25-e36"},"PeriodicalIF":1.0,"publicationDate":"2024-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12020560/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144019254","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":"Could a Habitual Sleep Restriction of One-two Hours Be Detrimental to the Benefits of Resistance Training?","authors":"Diego de Alcantara Borba, Lucas Alves Facundo, Valdênio Martins Brant, Carlos Magno Amaral Costa, Renato de Carvalho Guerreiro, Fernanda Veruska Narciso, Andressa da-Silva, Marco Túlio De-Mello","doi":"10.1055/s-0044-1787297","DOIUrl":"https://doi.org/10.1055/s-0044-1787297","url":null,"abstract":"<p><p>The absence or decrease in sleep time can affect different mechanisms associated with changes in body composition and physical exercise performance. However, it is unclear in the literature how chronically sleep-restricted individuals respond to strength training. Thus, this study aimed to evaluate the effects of reducing between one and two hours of recommended sleep time (7 hours) on the response to resistance training. The study included 12 subjects who slept on average 2 hours less than the recommended 7 hours per day (42 ± 8 years; 84.9 ± 11.6 kg; 27.9 ± 3.5 kg/m ² ; 6:17 ± 22 total sleep time/day and 5: 47 ± 29 sleep time/night) and 12 subjects with recommended sleep time (38 ± 11 years; 78.3 ± 9.5 kg; 25.1 ± 3.5 kg/m ² ; 7:47 ± 38 total sleep time/day and 7:16 ± 54 sleep time/night) and a control group (42 ± 7 years; 81 ± 12.2 kg; 26.2 ± 4.0 kg/m ² ; 7:30 ± 40 total sleep time/day and 7: 17 ± 51 sleep time/night) that did not perform resistance training. A total of 16 resistance training sessions were performed, 3 times a week (Sessions= 4 exercises; 2 sets; maximum repetitions to failure). The maximum number of repetitions, arm circumference, and arm muscle area increased, while triceps skinfold decreased after training in the experimental groups ( <i>p</i>  < 0.05), with no changes for the control group. There was no difference in muscle mass, body mass index, or sleep variables (sleep time, latency, efficiency) after the training period in either group (p> 0.05). Thus, the chronic 1-2-hour reduction in average recommended sleep time was not able to affect the positive effects of resistance training.</p>","PeriodicalId":21848,"journal":{"name":"Sleep Science","volume":"17 3","pages":"e244-e254"},"PeriodicalIF":1.0,"publicationDate":"2024-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11390164/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142295943","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":"\"Unveiling Unique Pathologies in Obstructive Sleep Apnea: Two Intriguing Case Reports\".","authors":"Peter M Baptista, Carlos O'connor, Mahran Altoron, Laura Rodriguez-Alcala, Guillermo Plaza-Mayor","doi":"10.1055/s-0044-1787531","DOIUrl":"https://doi.org/10.1055/s-0044-1787531","url":null,"abstract":"<p><p>Obstructive sleep apnea (OSA) is often associated with reduced pharyngeal muscle tone and an anatomically narrowed pharyngeal airspace. We try to describe two cases with OSA that were diagnosed with vascular lesions during DISE: One of them was an aberrant internal carotid artery, and the second one was a glomus tumor. These anatomic anomalies contribute to airspace narrowing in these patients. These two cases describe an exciting presentation of sleep apnea and remind us of the importance of clinically recognizing vascular alterations to avoid damage during routine oropharyngeal procedures.</p>","PeriodicalId":21848,"journal":{"name":"Sleep Science","volume":"18 1","pages":"e114-e118"},"PeriodicalIF":1.0,"publicationDate":"2024-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12020557/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144052517","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":"Nightmare Proneness Predicts Nightmare Frequency Incrementally Over Neuroticism and Distress.","authors":"William E Kelly, Richard C Zamora, Soeun Park","doi":"10.1055/s-0044-1787532","DOIUrl":"https://doi.org/10.1055/s-0044-1787532","url":null,"abstract":"<p><p><b>Introduction</b>  Previous research found that nightmare proneness, a purported disposition to experience frequent nightmares, accounted for nightmare frequency independent of neuroticism and distress. However, these findings may have been the result of reduced reliability and content validity of the measures. The current study aimed to replicate these findings using established, lengthier measures of neuroticism and distress. <b>Materials and Methods</b>  In the present cross-sectional study, 230 university students completed measures of nightmare frequency, nightmare proneness, neuroticism, and distress. <b>Results</b>  Regression models found that nightmare proneness incrementally predicted nightmare frequency above neuroticism and distress. Additional analyses indicated that neuroticism and distress indirectly predicted nightmare frequency through nightmare proneness, whereas nightmare proneness was not associated with nightmares through neuroticism or distress. <b>Conclusion</b> Nightmare proneness was statistically separable from neuroticism and distress. The results and suggestions for future research to better understand the nightmare proneness variable are discussed.</p>","PeriodicalId":21848,"journal":{"name":"Sleep Science","volume":"18 1","pages":"e104-e108"},"PeriodicalIF":1.0,"publicationDate":"2024-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12020566/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144034197","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":"Effects of Acute Aerobic Exercise <i>Versus</i> Acute Zolpidem Intake on Sleep in Individuals with Chronic Insomnia.","authors":"Ariella Rodrigues Cordeiro Rozales, Marcos Gonçalves Santana, Shawn D Youngstedt, SeungYong Han, Daniela Elias de Assis, Bernardo Pessoa de Assis, Giselle Soares Passos","doi":"10.1055/s-0044-1787530","DOIUrl":"https://doi.org/10.1055/s-0044-1787530","url":null,"abstract":"<p><p><b>Introduction</b>  Sleeping pills are assumed to be the most efficacious means of treating acute insomnia, but their use has associated risks. Exercise could provide a healthy alternative treatment for insomnia, particularly if it could be shown to have comparable efficacy to sleeping pills. <b>Objective</b>  The purpose of this study was to compare the effects of acute exercise <i>versus</i> zolpidem on chronic insomnia. <b>Methods</b>  Seventeen participants with chronic insomnia (recruited from advertisements) participated in a parallel randomized controlled trial (exercise, <i>n</i>  = 9; zolpidem, <i>n</i>  = 8). Participants in the exercise treatment performed treadmill exercise for 50 minutes, at 50% of heart rate reserve, between 11 am and 2 pm . Participants in the zolpidem treatment received a 10 mg dose of zolpidem immediately before bedtime. Following baseline and following the treatment, sleep measures included sleep diary, polysomnography, and actigraphy. Treatments were compared with non-inferiority analysis, ANOVA, and effect sizes. <b>Results</b>  Non-inferiority of exercise relative to zolpidem was observed for polysomnographic measurement of sleep latency. For all other comparisons, the non-inferiority was inconclusive. Significant treatment-by-time interactions were observed for N3 sleep ( <i>p</i>  = 0.04) and REM sleep ( <i>p</i>  = 0.03). No other significant treatment-by-time effects were observed. Subjective sleep duration and sleep efficiency, and polysomnographic measurement of sleep efficiency were significantly increased after zolpidem and exercise. The effect size between groups was small for these variables. <b>Conclusion</b>  Exercise impacted sleep in a similar way to zolpidem in participants with chronic insomnia. Considering the far superior health benefits of exercise, further research addressing this question is warranted.</p>","PeriodicalId":21848,"journal":{"name":"Sleep Science","volume":"18 1","pages":"e64-e73"},"PeriodicalIF":1.0,"publicationDate":"2024-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12020570/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144014396","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":"Comparative Analysis of Methods of Evaluating Human Fatigue.","authors":"Marco Túlio de Mello, Renato de Carvalho Guerreiro, Rodrigo Santarelli, Valdênio Martins Brant, Amaury Tavares Barreto, Flavia Rodrigues da Silva, Andressa Silva","doi":"10.1055/s-0044-1782175","DOIUrl":"10.1055/s-0044-1782175","url":null,"abstract":"<p><p>The present study used four different methods to estimate fatigue. Forty-seven volunteers (45 men and 2 women), 41.3 ± 7.5 years old, truck operators for 11.5 ± 6.0 years, were included. All participants accepted the invitation to be included in the study. Actigraphy and core temperature were evaluated. The 5-minute psychomotor vigilance test, the Karolinksa Sleepiness Scale (KSS), and the postural assessment using the Light Sonometer™ (Belo Horizonte, Minas Gerais, Brazil) were performed. Fatigue prediction was performed using the Fatigue Avoidance Scheduling Tool (FAST) program. In response to the Pittsburgh Sleep Quality Index (PSQI), 51.06% had good sleep quality and 48.94% had poor sleep quality with an average efficiency of 81.6%. In response to the actigraphy, workers slept an average of 7.2 hours a day with 93.5% efficiency. The workers' core body temperature (CBT) cosinor analysis showed a preserved circadian curve. Core body temperature showed differences between the 6 hours worked in each shift. Similarly, the light sound level meter showed lower risk scores for fatigue in day shifts. Only the variable of the fastest 10% of the Psychomotor Vigilance Test (PVT) showed worse results, while no significant differences were observed by the KSS. The risk analysis by FAST showed a strong influence of the circadian factor. In conclusion, each method has positive and negative points, and it is up to the evaluator/manager to identify the method that best suits the purpose of the evaluation, as well as the local culture and conditions. We recommend using different methods of risk assessment and management in combination with fatigue prediction by Sonometer as well as carrying out assessments, which enable researchers to estimate performance and fatigue throughout the working day, since these may change over the duration of the working day.</p>","PeriodicalId":21848,"journal":{"name":"Sleep Science","volume":"17 4","pages":"e339-e349"},"PeriodicalIF":1.0,"publicationDate":"2024-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11651853/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142855346","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":"Validation of a Portable Respiratory Monitoring System for the Diagnosis of Obstructive Sleep Apnea in Patients with Chronic Obstructive Pulmonary Disease: A Crossectional Study.","authors":"Marcus Vinicius F P Silva, Thais Clementino Lustosa, Ozeas Lima Lins-Filho, Danielle Cristina Silva Clímaco, Tarcya Couto Patriota, Jessica Amorim Magalhães, Fernando Queiroga, Marilia Montenegro Cabral, Ana Kelley Medeiros, Luiz Oliveira Neto, Valesca Kehrle Rodrigues, Luciano F Drager, Rodrigo Pinto Pedrosa","doi":"10.1055/s-0044-1782530","DOIUrl":"https://doi.org/10.1055/s-0044-1782530","url":null,"abstract":"<p><p><b>Introduction</b>  Portable respiratory monitoring (PM) has been used to diagnose obstructive sleep apnea (OSA) in the general population. However, its validation in patients with both OSA and chronic obstructive pulmonary disease (COPD), remains unclear. <b>Objective</b>  The aim of the study was to validate PM for the diagnosis of OSA in patients with COPD. <b>Materials and Methods</b>  In this crossectional study, COPD patients were submitted simultaneously to polysomnography (PSG) and PM. Moreover, the risk for OSA was verified by the Berlin, NoSAS, and STOP-BANG questionnaires. Sensitivity, specificity, positive predictive value, and negative predictive value for PM were calculated for the cutoff points of the hypopnea apnea index (AHI) of 5, 15, and 30 events/hour, as well as for the questionnaires. The Bland-Altman test and correlation analyses between the AHI of the PSG and PM were performed. <b>Results</b>  A total of 103 patients were evaluated (age 67.5 ± 9.9 years, 60% men). The STOP-BANG questionnaire had the highest sensitivity for OSA diagnosis, at 94.4% (72.7-99.9%). The sensitivity of PM decreased (87.0, 66.7, and 44.4%), and the specificity increased 40.0, 78.6, and 100.0%) as the AHI cutoff point increased from 5, 15, and 30. The Bland-Altman test indicated good limits of agreement (AHI = 5.5 ± 11.7 events/hour). Therefore, the AHI results of the PM showed a strong and positive correlation with those of the PSG (r = 0.70, <i>p</i>  < 0.0001). <b>Conclusion</b>  The PM test can be a useful tool for OSA diagnosis in patients with COPD.</p>","PeriodicalId":21848,"journal":{"name":"Sleep Science","volume":"17 3","pages":"e221-e226"},"PeriodicalIF":1.0,"publicationDate":"2024-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11390165/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142295946","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":"Atopic Dermatitis, Sleep, and the COVID-19 Pandemic.","authors":"Priscila Vernizi Roth, Renata Drizlionoks, Rafaela Cachiolo Antunes, Ana Chrystina Souza Crippa, Mariana Aparecida Pasa Morgan, Vânia Oliveira de Carvalho","doi":"10.1055/s-0044-1787275","DOIUrl":"https://doi.org/10.1055/s-0044-1787275","url":null,"abstract":"<p><p><b>Objective</b>  To investigate sleep disorders among children with atopic dermatitis (AD), before and during the coronavirus disease 2019 (COVID-19) pandemic. <b>Materials and Methods</b>  The present longitudinal, prospective study included 26 patients with AD, and the Sleep Disturbance Scale for Children (SDSC) questionnaire and questions about sleep hygiene were used. The severity of AD was determined by the Patient-Oriented Eczema Measure (POEM). The first evaluation was conducted before the pandemic (in 2019) and the second, during the pandemic, from September to December 2020. <b>Results</b>  Sleep disorder was present in 17 (65.38%) patients in the 1st evaluation, and in 11 (42.30%) in the 2nd ( <i>p</i>  = 0.04). In the 1st evaluation, disorders of initiating and maintaining sleep (DIMSs) were more frequent in patients with moderate-to-severe AD (83.33%). During the pandemic, 6 patients (23.07%) reported improvement in sleep quality. <b>Conclusion</b>  Sleep quality was negatively influenced by the severity of AD. During the COVID-19 pandemic, there was improvement in sleep quality, despite the absence of changes in disease severity.</p>","PeriodicalId":21848,"journal":{"name":"Sleep Science","volume":"18 1","pages":"e97-e103"},"PeriodicalIF":1.0,"publicationDate":"2024-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12020565/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144019251","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":"Sleep Debt and Insulin Resistance: What's Worse, Sleep Deprivation or Sleep Restriction?","authors":"Jorge Fernando Tavares Souza, Marcos Monico-Neto, Sergio Tufik, Hanna Karen Moreira Antunes","doi":"10.1055/s-0044-1782173","DOIUrl":"https://doi.org/10.1055/s-0044-1782173","url":null,"abstract":"<p><p><b>Objective</b>  To evaluate which condition of sleep debt has a greater negative impact on insulin resistance: sleep deprivation for 24 hours or 4 hours of sleep restriction for 4 nights. <b>Materials and Methods</b>  In total, 28 healthy male subjects aged 18 to 40 years were recruited and randomly allocated to two groups: sleep deprivation (SD) and sleep restriction (SR). Each group underwent two conditions: regular sleep (11 pm to 7 am ) and total sleep deprivation for 24 hours (SD); regular sleep (11 pm to 7 am ) and 4 nights of sleep restriction (SR) (1 am to 5 am ). The oral glucose tolerance test (OGTT) was performed, and baseline glucose, insulin, free fatty acids (FFAs), and cortisol were measured. In addition, the area under the curve (AUC) for glucose and insulin, the homeostasis model assessment of insulin resistance (HOMA-IR), and the Matsuda Index (Insulin Sensitivity Index, ISI) were calculated. <b>Results</b>  Glucose and insulin had a similar pattern between groups, except at the baseline, when insulin was higher in the sleep debt condition of the SR when compared with the SD ( <i>p</i>  < 0.01). In the comparison between regular sleep and sleep debt, the SD had a higher insulin AUC ( <i>p</i>  < 0.01) and FFAs ( <i>p</i>  = 0.03) after sleep deprivation, and insulin and the insulin AUC increased ( <i>p</i>  < 0.01 for both), while the ISI decreased ( <i>p</i>  = 0.02) after sleep restriction in the SR. In baseline parameters covariate by the condition of regular sleep, insulin ( <i>p</i>  = 0.02) and the HOMA-IR ( <i>p</i>  < 0.01) were higher, and cortisol ( <i>p</i>  = 0.04) was lower after sleep restriction when compared with sleep deprivation. <b>Conclusion</b>  Sleep restriction for 4 consecutive nights is more detrimental to energy metabolism because of the higher insulin values and insulin resistance compared with an acute period of sleep deprivation of 24 hours.</p>","PeriodicalId":21848,"journal":{"name":"Sleep Science","volume":"17 3","pages":"e272-e280"},"PeriodicalIF":1.0,"publicationDate":"2024-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11390169/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142295945","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}