Sleep Science最新文献

{"title":"Do Sleep Time and Duration Affect the Development of Prehypertension in Undergraduate Medical Students? An Experience from a Tertiary Care Hospital in Kolkata.","authors":"Sayan Ali, Samit Karmakar, Arup Chakraborty, Saptarshi Ghosh","doi":"10.1055/s-0044-1787838","DOIUrl":"https://doi.org/10.1055/s-0044-1787838","url":null,"abstract":"<p><p><b>Introduction and Objective</b>  Hypertension is an evolving public health challenge at present, and it is preceded by a prehypertensive stage. Irregular sleep duration and pattern have been found to be linked with cardiovascular diseases. Medical students are highly vulnerable to low quality sleep due to pressure regarding the academic curriculum and poor lifestyle. The present study aimed to estimate the prevalence of prehypertension, describe the risk factors and sleep patterns of undergraduate medical students, and determine the association, if any, involving sleep time and duration and prehypertension. <b>Materials and Methods</b>  Data was collected from 254 undergraduate medical students via the Pittsburgh Sleep Quality Index (PSQI) questionnaire and a self-structured questionnaire. The frequency of events was established and the Chi-squared and <i>t</i> -tests were applied to determine the association. Finally, regression analysis was performed to determine the correlation. <b>Results</b>  Male sex, high body mass index (BMI), poor sleep quality, and night sleep duration shorter than 5 hours were found to be significant risk factors for the development of prehypertensive condition (prevalence of 42.5%). However, there were no statistically significant associations regarding prehypertension and family history, junk food and salt intake, physical activity and daytime napping, bedtime, and wake-up time. Night sleep duration shorter than 5 hours presented an odds ratio of 4.713 ( <i>p</i>  = 0.010) for the development of prehypertension after adjusting for other risk factors, such as male sex, sleep quality, and high BMI. <b>Discussion and Conclusion</b>  A high prevalence of prehypertension (42.5%) was noted among undergraduate medical students. Night sleep duration shorter than 5 hours was a significant risk factor for the development of prehypertension, whereas sleep time was not significantly associated with prehypertension.</p>","PeriodicalId":21848,"journal":{"name":"Sleep Science","volume":"18 1","pages":"e56-e63"},"PeriodicalIF":1.0,"publicationDate":"2024-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12020568/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144027160","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":"Physical Activity Level and Sleep Quality in Community-Dwelling Older Adults. A Cross-Sectional Study.","authors":"Ygor Matos Luciano, Rafael Zambelli Pinto, Cynthia Gobbi, Guilherme Luiz Fernandes, Vinicius Dokkedal-Silva, Ítalo R Lemos, Gabriel Natan Pires, Monica Levy Andersen, Sergio Tufik, Priscila Kalil Morelhão","doi":"10.1055/s-0044-1787757","DOIUrl":"10.1055/s-0044-1787757","url":null,"abstract":"<p><p>The worldwide increase in life expectancy has resulted in a significant aging of the population. The physiological and functional changes that result from the aging process, changes in sleep patterns, and the prevalence of chronic diseases affect the health and well-being of individuals aged over 60. <b>Objective</b>  The aim of this study was to investigate the relationship between levels of physical activity (PA) and sleep quality in community-dwelling older adults. <b>Methods</b>  This is a cross-sectional study, with the participants randomly recruited according to the region and street in which they live. The Pittsburgh Sleep Quality Index (PSQI) was applied to assess sleep quality, the Modified Baecke Questionnaire for the Elderly (MBQ-E) to assess PA levels, as well as questionnaires to obtain social, demographic and anthropometric data. Multivariable regression analyses were conducted with PA activity as the independent variable and sleep quality as the dependent variable of interest, while also considering all potential covariates. <b>Results</b>  A total of 503 older adults were analyzed, of whom 377 (75%) were classified as inactive and only 126 (25%) as active. Among the participants, 344 (68.4%) had poor sleep quality, 86 (17.1%) had symptoms of insomnia, and 57 (11.5%) reported complaints of excessive daytime sleepiness. We found that 128 participants (25.4%) consumed alcohol and 41 (8.2%) were current smokers. Multivariate regression results showed an inverse association between PA levels and sleep (Beta coefficient = -0.67 ([95% confidence interval = -1.29 to -0.04]). <b>Conclusions</b>  The results of the study indicate that being physically inactive is associated with poor sleep quality.</p>","PeriodicalId":21848,"journal":{"name":"Sleep Science","volume":"18 2","pages":"e120-e127"},"PeriodicalIF":1.0,"publicationDate":"2024-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12263207/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144650591","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":"Association between Eating-Fasting and Sleep-Wake Cycles with Eating Times and Food Consumption throughout the Day: Longitudinal Study with Pregnant Women.","authors":"Cecília Silva Pereira, Laura Cristina Tibiletti Balieiro, Gabriela Pereira Teixeira, Cristiana Araújo Gontijo, Luisa Pereira Marot, Walid Makin Fahmy, Cibele Aparecida Crispim, Yara Cristina de Paiva Maia","doi":"10.1055/s-0044-1787276","DOIUrl":"https://doi.org/10.1055/s-0044-1787276","url":null,"abstract":"<p><p><b>Objective</b>  To investigate the associations of the sleep-eating interval with eating times and food consumption throughout the day in pregnant women. <b>Materials and Methods</b>  A longitudinal study with 100 pregnant women treated at the public health network in the city of Uberlândia, state of Minas Gerais (MG), Brazil, during the entire gestational period. The time intervals between waking up and the first eating episode and between the last eating episode and going to sleep (independent variables) were investigated. Outcome measures were meal and sleep times, as well as food consumption throughout the day. <b>Results</b>  Food consumption closer to sleep at night is associated with higher total daily caloric intake in the first (β = -0.337, <i>p</i>  = 0.016) and second trimesters (Ts) of pregnancy (β = -0.240, <i>p</i>  = 0.023), and with longer sleep duration on weekdays ( <i>p</i>  < 0.05 for all three trimesters). We did not find associations between the wake-up to first eating episode interval and total calories ( <i>p</i>  > 0.05 for all three trimesters), but the longer this interval, the greater the percentage of calories at dinner (1T: β = 0.266, <i>p</i>  = 0.003; 2T: β = 0.269, <i>p</i>  = 0.045) and at the last meal (1T: β = 0.324, <i>p</i>  = 0.001; 2T: β = 0.231, <i>p</i>  = 0.033). <b>Discussion</b>  Taking longer to eat the first meal after waking up is associated with higher caloric intake later in the day, while taking longer to sleep after eating the last meal is associated with higher total daily caloric intake and shorter sleep duration, especially in the beginning and middle of pregnancy.</p>","PeriodicalId":21848,"journal":{"name":"Sleep Science","volume":"18 1","pages":"e44-e55"},"PeriodicalIF":1.0,"publicationDate":"2024-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12020575/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144054178","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 Sleep-Disordered Breathing on Daytime Brain Activity in Community-Dwelling Older Adults.","authors":"Hiroki Shibata, Akiko Noda, Yuanjie Mao, Kunihiro Iwamoto, Masato Okuda, Ippei Okada, Seiko Miyata, Toshiaki Taoka, Fumihiko Yasuma","doi":"10.1055/s-0044-1782627","DOIUrl":"https://doi.org/10.1055/s-0044-1782627","url":null,"abstract":"<p><p><b>Introduction</b>  Sleep-disordered breathing (SDB) is associated with an increased risk of cardiovascular diseases. The present study aimed to examine the influence of SDB on daytime brain activity in the community-dwelling older adults. <b>Material and Methods</b>  Eighty one consecutive volunteers aged 60 years or older (mean age 70.5 ± 4.8 years) participated in the present study. Daytime brain activity was assessed by measuring the peak cortical oxygenated hemoglobin (OxyHb) levels and area under the near-infrared spectroscopy (NIRS) curve. The respiratory event index (REI) and 3% oxygen desaturation index (3%ODI) were evaluated using a home sleep-apnea test. <b>Results</b>  The peak OxyHb and area under the NIRS curve were significantly lower in the participants with REI ≥ 15/h than those with REI < 15/h. The body mass index (BMI), REI, 3%ODI, and Epworth sleepiness scale (ESS) scores were significantly correlated with peak OxyHb levels (BMI: <i>r</i>  = -0.202, <i>p</i>  = 0.035; REI: <i>r</i>  = -0.307, <i>p</i>  = 0.003; 3%ODI: <i>r</i>  = -0.321, <i>p</i>  = 0.002; and ESS score: <i>r</i>  = -0.287, <i>p</i>  = 0.005). Also, the BMI, REI, and 3%ODI were significantly correlated with the area under the NIRS curve (BMI: <i>r</i>  = -0.306, <i>p</i>  = 0.002; REI: <i>r</i>  = -0.326, <i>p</i>  = 0.002; and 3%ODI: <i>r</i> =-0.322, <i>p</i>  = 0.002), and BMI was a significant factor associated with the area under the NIRS curve. <b>Conclusions</b>  Brain activity during wakefulness was associated with severities of SDB and obesity. A simple NIRS may yield unique information for characterizing the decline in daytime brain activity of the community-dwelling older adults.</p>","PeriodicalId":21848,"journal":{"name":"Sleep Science","volume":"18 1","pages":"e10-e16"},"PeriodicalIF":1.0,"publicationDate":"2024-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12020571/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144026188","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":"Are Sleep Quality, Daytime Sleepiness, and Depression Associated with Knee Pain? A Cross-Sectional Study in Older Adults.","authors":"Viviane Akemi Kakazu, Rafael Z Pinto, Vinicius Dokkedal-Silva, Guilherme Luiz Fernandes, Cynthia Gobbi Alves Araujo, Gabriel Natan Pires, Tayná A Dias, Sergio Tufik, Monica L Andersen, Priscila K Morelhão","doi":"10.1055/s-0044-1787528","DOIUrl":"https://doi.org/10.1055/s-0044-1787528","url":null,"abstract":"<p><p><b>Introduction</b>  Osteoarthritis (OA) is common among older adults, and studies have suggested that it is commonly associated with sleep problems and depression. However, the results are inconsistent concerning overall sleep quality, daytime sleepiness, and depression in studies that consider OA knee pain specifically. <b>Objectives</b>  To examine the relationship between sleep quality, daytime sleepiness and depression, and OA knee pain in older adults. <b>Methods</b>  This was a cross-sectional study. Adults aged 60 and above with OA knee pain according to the National Institute for Health and Care Excellence (NICE) guidelines, and who had preserved cognitive function were recruited. Sleep quality, daytime sleepiness, and depression symptoms were assessed using the Pittsburgh Sleep Quality Index (PSQI), the Epworth Sleepiness Scale (ESS), and the Center for Epidemiologic Studies Depression Scale (CESD), respectively. The generalized linear model (GzLM) approach was used in the statistical analysis. A logistic regression model was performed to evaluate whether ESS, PSQI, and CESD symptoms were associated with knee pain. <b>Results</b>  The sample comprised 451 older adults. Sleep quality (OR = 1.22, 95% confidence interval [CI]: 1.07 to 1.40) and depressive symptoms (OR = 1.09, 95%CI: 1.01 to 1.17) were associated with knee pain, but there was no association with excessive daytime sleepiness (OR= 1.09, 95%CI: 0.90 to 1.20). <b>Conclusions</b>  Sleep quality and depression symptoms are associated with knee pain.</p>","PeriodicalId":21848,"journal":{"name":"Sleep Science","volume":"18 1","pages":"e91-e96"},"PeriodicalIF":1.0,"publicationDate":"2024-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12020562/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144052518","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":"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}