Pub Date : 2023-03-02DOI: 10.1016/j.sleepx.2023.100066
Alana Biggers, Isaye Barton, Julia Henkins, Hajwa Kim, Rose Perez, Jason Ong, Lisa K. Sharp, Ben S. Gerber
Objective
We explored the relationship between the Sleep Hygiene Practices Scale (SHPS) and sleep quality and sleep-related impairment in Black and Latinx adults with type 2 diabetes (T2DM).
Methods
Forty Black and Latinx adults with T2DM participated. Self-reported measures include the Pittsburg Sleep Quality Index (PSQI), Patient Reported Outcomes Measurement Information System (PROMIS) Sleep Disturbance (SD) and Sleep-Related Impairment (SRI) measures, and SHPS (domains include sleep schedule and timing, arousal-related behaviors, poor eating/drinking habits prior to sleep, and poor sleep environment).
Results
SHPS Cronbach’s alpha coefficients were 0.58 (schedule), 0.78 (arousal), 0.29 (eating), 0.81 (environment) and 0.88 (overall for four domains). SHPS scores correlated with PSQI (Pearson correlation r = 0.67, 95% CI [0.44, 0.81], PROMIS-SD (r = 0.61 [0.36–0.77]), and PROMIS-SRI (r = 0.43, [0.13–0.65]). There remained a significant relationship between sleep hygiene and both sleep quality and sleep-related impairment adjusting for hemoglobin A1c, age, and body mass index in regression models.
Conclusions
We observed moderate correlations between sleep quality and sleep-related impairment with sleep hygiene using the SHPS in Black and Latinx adults with T2DM.
{"title":"Association between sleep hygiene practices scale and sleep quality in Black and Latinx patients with uncontrolled type 2 diabetes","authors":"Alana Biggers, Isaye Barton, Julia Henkins, Hajwa Kim, Rose Perez, Jason Ong, Lisa K. Sharp, Ben S. Gerber","doi":"10.1016/j.sleepx.2023.100066","DOIUrl":"10.1016/j.sleepx.2023.100066","url":null,"abstract":"<div><h3>Objective</h3><p>We explored the relationship between the Sleep Hygiene Practices Scale (SHPS) and sleep quality and sleep-related impairment in Black and Latinx adults with type 2 diabetes (T2DM).</p></div><div><h3>Methods</h3><p>Forty Black and Latinx adults with T2DM participated. Self-reported measures include the Pittsburg Sleep Quality Index (PSQI), Patient Reported Outcomes Measurement Information System (PROMIS) Sleep Disturbance (SD) and Sleep-Related Impairment (SRI) measures, and SHPS (domains include sleep schedule and timing, arousal-related behaviors, poor eating/drinking habits prior to sleep, and poor sleep environment).</p></div><div><h3>Results</h3><p>SHPS Cronbach’s alpha coefficients were 0.58 (schedule), 0.78 (arousal), 0.29 (eating), 0.81 (environment) and 0.88 (overall for four domains). SHPS scores correlated with PSQI (Pearson correlation r = 0.67, 95% CI [0.44, 0.81], PROMIS-SD (r = 0.61 [0.36–0.77]), and PROMIS-SRI (r = 0.43, [0.13–0.65]). There remained a significant relationship between sleep hygiene and both sleep quality and sleep-related impairment adjusting for hemoglobin A1c, age, and body mass index in regression models.</p></div><div><h3>Conclusions</h3><p>We observed moderate correlations between sleep quality and sleep-related impairment with sleep hygiene using the SHPS in Black and Latinx adults with T2DM.</p></div>","PeriodicalId":37065,"journal":{"name":"Sleep Medicine: X","volume":"5 ","pages":"Article 100066"},"PeriodicalIF":0.0,"publicationDate":"2023-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/2a/16/main.PMC10024040.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9149902","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 : 2023-03-02DOI: 10.1016/j.sleepx.2023.100067
Rebecca C. Hendrickson, Catherine A. McCall, Aaron F. Rosser, Kathleen F. Pagulayan, Bernard P. Chang, Ellen D. Sano, Ronald G. Thomas, Murray A. Raskind
Objective/Background: Healthcare workers have experienced high rates of psychiatric symptom burden and occupational attrition during the COVID-19 pandemic. Identifying contributory factors can inform prevention and mitigation measures. Here, we explore the potential contributions of occupational stressors vs COVID-19 infection to insomnia symptoms in US healthcare workers.
Patients/Methods: An online self-report survey was collected between September 2020 and July 2022 from N = 594 US healthcare workers, with longitudinal follow-up up to 9 months. Assessments included the Insomnia Severity Index (ISI), the PTSD Checklist for DSM-5 (PCL-5), and a 13-item scale assessing COVID-19 related occupational stressors.
Results
Insomnia was common (45% of participants reported at least moderate and 9.2% reported severe symptoms at one or more timepoint) and significantly associated with difficulty completing work-related tasks, increased likelihood of occupational attrition, and thoughts of suicide or self-harm (all p<.0001). In multivariable regression with age, gender, and family COVID-19 history as covariates, past two-week COVID-related occupational stressors, peak COVID-related occupational stressors, and personal history of COVID-19 infection were all significantly related to past two-week ISI scores (β = 1.7 ± 0.14SE, β = 0.08 ± 0.03, and β = 0.69 ± 0.22 respectively). Although similar results were found for the PCL-5, when ISI and PCL-5 items were separated by factor, COVID-19 infection was significantly related only to the factor consisting of sleep-related items.
Conclusions
Both recent occupational stress and personal history of COVID-19 infection were significantly associated with insomnia in healthcare workers. These results suggest that both addressing occupational stressors and reducing rate of COVID-19 infection are important to protect healthcare workers and the healthcare workforce.
{"title":"The relative contribution of COVID-19 infection versus COVID-19 related occupational stressors to insomnia in healthcare workers","authors":"Rebecca C. Hendrickson, Catherine A. McCall, Aaron F. Rosser, Kathleen F. Pagulayan, Bernard P. Chang, Ellen D. Sano, Ronald G. Thomas, Murray A. Raskind","doi":"10.1016/j.sleepx.2023.100067","DOIUrl":"10.1016/j.sleepx.2023.100067","url":null,"abstract":"<div><p>Objective/Background: Healthcare workers have experienced high rates of psychiatric symptom burden and occupational attrition during the COVID-19 pandemic. Identifying contributory factors can inform prevention and mitigation measures. Here, we explore the potential contributions of occupational stressors vs COVID-19 infection to insomnia symptoms in US healthcare workers.</p><p>Patients/Methods: An online self-report survey was collected between September 2020 and July 2022 from N = 594 US healthcare workers, with longitudinal follow-up up to 9 months. Assessments included the Insomnia Severity Index (ISI), the PTSD Checklist for DSM-5 (PCL-5), and a 13-item scale assessing COVID-19 related occupational stressors.</p></div><div><h3>Results</h3><p>Insomnia was common (45% of participants reported at least moderate and 9.2% reported severe symptoms at one or more timepoint) and significantly associated with difficulty completing work-related tasks, increased likelihood of occupational attrition, and thoughts of suicide or self-harm (all p<.0001). In multivariable regression with age, gender, and family COVID-19 history as covariates, past two-week COVID-related occupational stressors, peak COVID-related occupational stressors, and personal history of COVID-19 infection were all significantly related to past two-week ISI scores (β = 1.7 ± 0.14SE, β = 0.08 ± 0.03, and β = 0.69 ± 0.22 respectively). Although similar results were found for the PCL-5, when ISI and PCL-5 items were separated by factor, COVID-19 infection was significantly related only to the factor consisting of sleep-related items.</p></div><div><h3>Conclusions</h3><p>Both recent occupational stress and personal history of COVID-19 infection were significantly associated with insomnia in healthcare workers. These results suggest that both addressing occupational stressors and reducing rate of COVID-19 infection are important to protect healthcare workers and the healthcare workforce.</p></div>","PeriodicalId":37065,"journal":{"name":"Sleep Medicine: X","volume":"5 ","pages":"Article 100067"},"PeriodicalIF":0.0,"publicationDate":"2023-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/3c/7d/main.PMC9979693.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9262182","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 : 2023-02-28DOI: 10.1016/j.sleepx.2023.100065
Petar Kalaydzhiev , Nikolay Poroyliev , Desislava Somleva , Radostina Ilieva , Dimitar Markov , Elena Kinova , Asen Goudev
Sleep disorders are a common concomitant comorbidity in patients with heart failure. The aims of our study are to determine the incidence and phenotypic characteristics of sleep apnea in overweight patients with exacerbated heart failure and to assess the degree of involvement of systolic and diastolic function impairment in the individual group. From 100 screened patients with heart failure in our department from 2015 to 2017, 61 met the inclusion criteria and participated in the study. 82% (n = 50) of the patients had obstructive sleep apnea (OSA), and 18% (n = 11) had central sleep apnea (CSA). The CSA group had a significantly lower left ventricular ejection fraction (LVEF) than the OSA group (EF% 49.6 ± 8.5 vs 41.8 ± 11.4; p = 0.013). A negative correlation was found between LVEF and the number of central apnea events (r = −0.52; p < 0.001). More frequent hospitalizations for heart failure (HF) and higher mortality rate were found in the CSA group. Screening for sleep apnea in patients with exacerbated heart failure and obesity is necessary for the complex treatment of these patients.
睡眠障碍是心力衰竭患者常见的合并症。我们研究的目的是确定超重心力衰竭加重患者睡眠呼吸暂停的发生率和表型特征,并评估个体组收缩和舒张功能受损的程度。从2015年至2017年我科筛查的100名心力衰竭患者中,有61人符合纳入标准并参与了研究。82%(n=50)的患者患有阻塞性睡眠呼吸暂停(OSA),18%(n=11)患有中枢性睡眠呼吸中止(CSA)。CSA组的左心室射血分数(LVEF)显著低于OSA组(EF%49.6±8.5 vs 41.8±11.4;p=0.013)。LVEF与中心性呼吸暂停事件数呈负相关(r=-0.52;p<;0.001)。CSA组因心力衰竭(HF)住院的频率更高,死亡率更高。筛查心力衰竭和肥胖加重患者的睡眠呼吸暂停对于这些患者的复杂治疗是必要的。
{"title":"Sleep apnea in patients with exacerbated heart failure and overweight","authors":"Petar Kalaydzhiev , Nikolay Poroyliev , Desislava Somleva , Radostina Ilieva , Dimitar Markov , Elena Kinova , Asen Goudev","doi":"10.1016/j.sleepx.2023.100065","DOIUrl":"10.1016/j.sleepx.2023.100065","url":null,"abstract":"<div><p>Sleep disorders are a common concomitant comorbidity in patients with heart failure. The aims of our study are to determine the incidence and phenotypic characteristics of sleep apnea in overweight patients with exacerbated heart failure and to assess the degree of involvement of systolic and diastolic function impairment in the individual group. From 100 screened patients with heart failure in our department from 2015 to 2017, 61 met the inclusion criteria and participated in the study. 82% (n = 50) of the patients had obstructive sleep apnea (OSA), and 18% (n = 11) had central sleep apnea (CSA). The CSA group had a significantly lower left ventricular ejection fraction (LVEF) than the OSA group (EF% 49.6 ± 8.5 vs 41.8 ± 11.4; p = 0.013). A negative correlation was found between LVEF and the number of central apnea events (r = −0.52; p < 0.001). More frequent hospitalizations for heart failure (HF) and higher mortality rate were found in the CSA group. Screening for sleep apnea in patients with exacerbated heart failure and obesity is necessary for the complex treatment of these patients.</p></div>","PeriodicalId":37065,"journal":{"name":"Sleep Medicine: X","volume":"5 ","pages":"Article 100065"},"PeriodicalIF":0.0,"publicationDate":"2023-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10009711/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9123785","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}
As a public health priority, health-related quality of life (HRQoL) is associated with some factors like sleep disorders. Taking this into consideration, this study aimed at investigating the relationship between sleep duration and sleep quality with HRQoL in patients on hemodialysis.
Methods
This cross-sectional study was carried out among 176 patients on hemodialysis who were admitted to the dialysis ward of 22 Bahman hospital and a private renal clinic in Neyshabur (a city in North-East of Iran) in 2021. Sleep duration and quality were measured using an Iranian version of Pittsburgh Sleep Quality Index (PSQI) and HRQoL was evaluated with the Iranian version of a 12-Item Short Form Survey (SF-12). To analyze the data and examine the independent association of sleep duration and quality with HRQoL, multiple linear regression model was performed.
Results
The mean age of the participants was 51.6 ± 16.4 and 63.6% were male. Moreover, 55.1% and 5.7% of subjects reported a sleep duration shorter than 7 h and equal to or more than 9 h, respectively, and the value prevalence of poor sleep quality was reported as 78.2%. Furthermore, the reported overall score of HRQoL was 57.6 ± 17.9. According to the adjusted models, poor sleep quality was negatively associated with the total HRQoL score (B = −14.5, P < 0.001). Shedding light on sleep duration and Physical Component Summary (PCS), the result indicated that insufficient sleep duration (<7 h) had a borderline negative association with PCS (B = −5.96, p = 0.049).
Conclusions
Sleep duration and quality have important effects on HRQoL in patients on hemodialysis. Therefore, in line with improving sleep quality and HRQoL among these patients, essential interventions should be planned and performed.
{"title":"Relationship of sleep duration and sleep quality with health-related quality of life in patients on hemodialysis in Neyshabur","authors":"Minasadat Hosseini , Maryam Nasrabadi , Ensiyeh Mollanoroozy , Fatemeh Khani , Zahra Mohammadi , Faeze Barzanoni , Asieh Amini , Ali Gholami","doi":"10.1016/j.sleepx.2023.100064","DOIUrl":"10.1016/j.sleepx.2023.100064","url":null,"abstract":"<div><h3>Background</h3><p>As a public health priority, health-related quality of life (HRQoL) is associated with some factors like sleep disorders. Taking this into consideration, this study aimed at investigating the relationship between sleep duration and sleep quality with HRQoL in patients on hemodialysis.</p></div><div><h3>Methods</h3><p>This cross-sectional study was carried out among 176 patients on hemodialysis who were admitted to the dialysis ward of 22 Bahman hospital and a private renal clinic in Neyshabur (a city in North-East of Iran) in 2021. Sleep duration and quality were measured using an Iranian version of Pittsburgh Sleep Quality Index (PSQI) and HRQoL was evaluated with the Iranian version of a 12-Item Short Form Survey (SF-12). To analyze the data and examine the independent association of sleep duration and quality with HRQoL, multiple linear regression model was performed.</p></div><div><h3>Results</h3><p>The mean age of the participants was 51.6 ± 16.4 and 63.6% were male. Moreover, 55.1% and 5.7% of subjects reported a sleep duration shorter than 7 h and equal to or more than 9 h, respectively, and the value prevalence of poor sleep quality was reported as 78.2%. Furthermore, the reported overall score of HRQoL was 57.6 ± 17.9. According to the adjusted models, poor sleep quality was negatively associated with the total HRQoL score (B = −14.5, P < 0.001). Shedding light on sleep duration and Physical Component Summary (PCS), the result indicated that insufficient sleep duration (<7 h) had a borderline negative association with PCS (B = −5.96, p = 0.049).</p></div><div><h3>Conclusions</h3><p>Sleep duration and quality have important effects on HRQoL in patients on hemodialysis. Therefore, in line with improving sleep quality and HRQoL among these patients, essential interventions should be planned and performed.</p></div>","PeriodicalId":37065,"journal":{"name":"Sleep Medicine: X","volume":"5 ","pages":"Article 100064"},"PeriodicalIF":0.0,"publicationDate":"2023-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/65/21/main.PMC9972367.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9388590","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 : 2023-01-20DOI: 10.1016/j.sleepx.2023.100062
Mark R. Pressman
{"title":"Response to Letter to Editor of Perretti et al. re disorders of arousal and timing of the first period of slow wave sleep: Clinical and forensic implications. Sleep Medicine X 2022:4: 100057","authors":"Mark R. Pressman","doi":"10.1016/j.sleepx.2023.100062","DOIUrl":"10.1016/j.sleepx.2023.100062","url":null,"abstract":"","PeriodicalId":37065,"journal":{"name":"Sleep Medicine: X","volume":"5 ","pages":"Article 100062"},"PeriodicalIF":0.0,"publicationDate":"2023-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9923218/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10736062","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 : 2023-01-08DOI: 10.1016/j.sleepx.2023.100061
Sakshi Bajaj , A. Lauren Rice , Payden White , Abigail M. Wiedmer , Natalie M. Jacobson , Nathan R. Jones , Mihaela H. Bazalakova , Kathleen M. Antony
Objective
The purpose of this project was to determine the positive predictive value of existing obstructive sleep apnea (OSA) screening tools in clinical use, in a real-world clinical population of gravidae, and to explore the development of a new questionnaire for screening for OSA during pregnancy.
Methods
Pregnant people were administered sleep screening questionnaires as part of routine clinical care. These included Facco's four variable OSA screening tool, the STOP-BANG, and the Epworth Sleepiness Scale. Those who screened positive were referred for diagnostic sleep testing, typically with a type III home monitoring device. Here we analyzed the screening responses used by those who completed diagnostic testing to determine the positive predictive value of the existing tools.
Results
159 pregnant people completed diagnostic OSA testing and were included in this analysis. The positive predictive value of Facco's four variable sleep screening tool was 74.3%, STOP-BANG was 75.3%, and the Epworth Sleepiness Scale was 69.8%. Our sample size was insufficient to create a new screening tool.
Conclusions
Here we calculated the positive predictive value of Facco's 4 variable screening tool for screening for OSA in pregnancy in a real-world pregnant population. While we were not able to generate a new screening tool for screening for OSA during pregnancy, both STOP-BANG and Facco's four variable tool had positive predictive values over 70% in our population which was characterized by high BMI and advanced maternal age. Increased clinical use of the pregnancy-specific tool may be warranted.
{"title":"Clinical application of a previously validated pregnancy-specific screening tool for sleep apnea in a cohort with a high prevalence of obesity","authors":"Sakshi Bajaj , A. Lauren Rice , Payden White , Abigail M. Wiedmer , Natalie M. Jacobson , Nathan R. Jones , Mihaela H. Bazalakova , Kathleen M. Antony","doi":"10.1016/j.sleepx.2023.100061","DOIUrl":"10.1016/j.sleepx.2023.100061","url":null,"abstract":"<div><h3>Objective</h3><p>The purpose of this project was to determine the positive predictive value of existing obstructive sleep apnea (OSA) screening tools in clinical use, in a real-world clinical population of gravidae, and to explore the development of a new questionnaire for screening for OSA during pregnancy.</p></div><div><h3>Methods</h3><p>Pregnant people were administered sleep screening questionnaires as part of routine clinical care. These included Facco's four variable OSA screening tool, the STOP-BANG, and the Epworth Sleepiness Scale. Those who screened positive were referred for diagnostic sleep testing, typically with a type III home monitoring device. Here we analyzed the screening responses used by those who completed diagnostic testing to determine the positive predictive value of the existing tools.</p></div><div><h3>Results</h3><p>159 pregnant people completed diagnostic OSA testing and were included in this analysis. The positive predictive value of Facco's four variable sleep screening tool was 74.3%, STOP-BANG was 75.3%, and the Epworth Sleepiness Scale was 69.8%. Our sample size was insufficient to create a new screening tool.</p></div><div><h3>Conclusions</h3><p>Here we calculated the positive predictive value of Facco's 4 variable screening tool for screening for OSA in pregnancy in a real-world pregnant population. While we were not able to generate a new screening tool for screening for OSA during pregnancy, both STOP-BANG and Facco's four variable tool had positive predictive values over 70% in our population which was characterized by high BMI and advanced maternal age. Increased clinical use of the pregnancy-specific tool may be warranted.</p></div>","PeriodicalId":37065,"journal":{"name":"Sleep Medicine: X","volume":"5 ","pages":"Article 100061"},"PeriodicalIF":0.0,"publicationDate":"2023-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/82/66/main.PMC9845998.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10586904","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 : 2022-12-09DOI: 10.1016/j.sleepx.2022.100060
Beverly W.X. Wong , Yiong Huak Chan , Michael S. Kramer , Inger Sundström-Poromaa , Susan Logan , Jane A. Cauley , Eu-Leong Yong
Objective
To examine factors associated with poor sleep quality in community-dwelling midlife women.
Methods
Healthy women (aged 45–69 years) of Chinese, Malay and Indian ethnicities attending well-women clinics at the National University Hospital, Singapore, completed the Pittsburgh Sleep Quality Index (PSQI). A PQSI score >5 denoted poor sleep quality. The women filled out validated questionnaires covering menopausal and genito-urinary symptoms, and mental health. Physical performance was measured. Bone mineral density and visceral adiposity were assessed by dual energy X-ray absorptiometry. Binary logistic regression analyses assessed independent factors for poor sleep.
Results
Poor sleep quality was reported in 38.2% of women (n = 1094, mean age: 56.4 ± 6.2 years). Indian women had higher sleep disturbance scores than Chinese women (mean ± SD: 1.33 ± 0.58 vs 1.17 ± 0.49). Malays experienced more daytime dysfunction (0.54 ± 0.60 vs 0.33 ± 0.55) and had a higher overall PSQI score (6.00 ± 3.31 vs 5.02 ± 2.97) than the Chinese. A low education level (aOR: 1.76, 95% CI: 1.01–3.05), feelings of irritability (2.67, 1.56–4.60) and vaginal dryness (1.62, 1.03–2.54) were associated with poor sleep quality in the adjusted multivariable model. Women with moderate to severe disability were ∼3 times (2.99, 1.20–7.44) more likely to experience less than ideal sleep quality, while urinary incontinence (1.53, 1.08–2.17) and breast cancer history (2.77, 1.36–5.64) were also associates of poor sleep quality.
Conclusion
Self-reports of education level, irritability, vaginal dryness, disability, urinary incontinence, and breast cancer history were independently related to poor sleep. Ethnic differences suggest the need for targeted interventions among the ethnic groups.
目的探讨居住在社区的中年妇女睡眠质量差的相关因素。方法在新加坡国立大学医院健康女性诊所就诊的中国、马来和印度裔健康女性(年龄45-69岁)完成匹兹堡睡眠质量指数(PSQI)。PQSI得分>;5表示睡眠质量差。这些女性填写了经过验证的问卷,内容包括更年期和生殖器泌尿系统症状以及心理健康。测量身体表现。骨密度和内脏脂肪通过双能X射线吸收法进行评估。二元逻辑回归分析评估了睡眠不良的独立因素。结果38.2%的女性(n=1094,平均年龄:56.4±6.2岁)睡眠质量差。印度女性的睡眠障碍评分高于中国女性(平均值±标准差:1.33±0.58 vs 1.17±0.49)。马来人的日间功能障碍较多(0.54±0.60 vs 0.33±0.55),总体PSQI评分高于中国人(6.00±3.31 vs 5.02±2.97)。在调整后的多变量模型中,低教育水平(aOR:1.76,95%CI:1.01–3.05)、易怒感(2.67,1.56–4.60)和阴道干燥感(1.62,1.03–2.54)与睡眠质量差有关。患有中度至重度残疾的女性睡眠质量不理想的可能性高出约3倍(2.99,1.20–7.44),而尿失禁(1.53,1.08–2.17)和乳腺癌症病史(2.77,1.36–5.64)也与睡眠质量差有关。结论文化程度、易怒、阴道干燥、残疾、尿失禁、癌症病史的自我报告与睡眠不良独立相关。种族差异表明,需要在各种族群体之间采取有针对性的干预措施。
{"title":"Factors associated with poor sleep quality in midlife Singaporean women: The Integrated Women’s Health program (IWHP)","authors":"Beverly W.X. Wong , Yiong Huak Chan , Michael S. Kramer , Inger Sundström-Poromaa , Susan Logan , Jane A. Cauley , Eu-Leong Yong","doi":"10.1016/j.sleepx.2022.100060","DOIUrl":"10.1016/j.sleepx.2022.100060","url":null,"abstract":"<div><h3>Objective</h3><p>To examine factors associated with poor sleep quality in community-dwelling midlife women.</p></div><div><h3>Methods</h3><p>Healthy women (aged 45–69 years) of Chinese, Malay and Indian ethnicities attending well-women clinics at the National University Hospital, Singapore, completed the Pittsburgh Sleep Quality Index (PSQI). A PQSI score >5 denoted poor sleep quality. The women filled out validated questionnaires covering menopausal and genito-urinary symptoms, and mental health. Physical performance was measured. Bone mineral density and visceral adiposity were assessed by dual energy X-ray absorptiometry. Binary logistic regression analyses assessed independent factors for poor sleep.</p></div><div><h3>Results</h3><p>Poor sleep quality was reported in 38.2% of women (n = 1094, mean age: 56.4 ± 6.2 years). Indian women had higher sleep disturbance scores than Chinese women (mean ± SD: 1.33 ± 0.58 vs 1.17 ± 0.49). Malays experienced more daytime dysfunction (0.54 ± 0.60 vs 0.33 ± 0.55) and had a higher overall PSQI score (6.00 ± 3.31 vs 5.02 ± 2.97) than the Chinese. A low education level (aOR: 1.76, 95% CI: 1.01–3.05), feelings of irritability (2.67, 1.56–4.60) and vaginal dryness (1.62, 1.03–2.54) were associated with poor sleep quality in the adjusted multivariable model. Women with moderate to severe disability were ∼3 times (2.99, 1.20–7.44) more likely to experience less than ideal sleep quality, while urinary incontinence (1.53, 1.08–2.17) and breast cancer history (2.77, 1.36–5.64) were also associates of poor sleep quality.</p></div><div><h3>Conclusion</h3><p>Self-reports of education level, irritability, vaginal dryness, disability, urinary incontinence, and breast cancer history were independently related to poor sleep. Ethnic differences suggest the need for targeted interventions among the ethnic groups.</p></div>","PeriodicalId":37065,"journal":{"name":"Sleep Medicine: X","volume":"5 ","pages":"Article 100060"},"PeriodicalIF":0.0,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/13/57/main.PMC9772553.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10802851","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 : 2022-12-01DOI: 10.1016/j.sleepx.2022.100056
A.U. Larsen , L.A. Hopstock , R. Jorde , G. Grimnes
Objective
To investigate the relation between serum 25-hydroxyvitamin D (s-25(OH)D) and subjective sleep measures in an Arctic population (69°N).
Methods
Cross-sectional data was collected from 21,083 individuals (aged ≥40 years) participating in the population based Tromsø Study: Tromsø7 (2015–2016). The present study included 20,438 participants, after having excluded respondents missing data on s-25(OH)D (n = 161) and/or subjective sleep measures (including sleep duration, insomnia, and daytime sleepiness)(n = 490). Based on s-25(OH)D (assessed using LC-MS/MS), participants were grouped as deficient (<30 nmol/L), insufficient (30–49.9 nmol/L), sufficient (50–75 nmol/L), or high (>75 nmol/L). Sleep duration was grouped as inadequate (ISD) if < 7 or ≥9 h. Linear and logistic regression were used to calculate unstandardized β-values and odds ratios [95% confidence intervals]. The analyses were adjusted for season, age, BMI, lifestyle factors and relevant comorbidities.
Results
In both men and women, s-25(OH)D was positively associated with sleep duration, and compared to the sufficient s-25(OH)D group, the insufficient s-25(OH)D group reported significantly shorter sleep duration in both sexes. There was an increased odds of ISD in both men and women but adjusted for confounding factors this was only significant in women (1.16 [1.03, 1.32], p = .017). In men, there were no significant associations between s-25(OH)D and the remaining sleep measures. Women in the high s-25(OH)D group had lower ESS-scores (−0.28 [-0.47, −0.08], p = .006), but higher odds of insomnia (1.16 [1.01, 1.33], p = .036) compared to women in the sufficient group.
Conclusions
In this Arctic population, a tenuous association was found between s-25(OH)D and subjective sleep measures, predominantly in women.
{"title":"Associations of serum 25-hydroxyvitamin D and subjective sleep measures in an arctic population: Insights from the population-based Tromsø Study","authors":"A.U. Larsen , L.A. Hopstock , R. Jorde , G. Grimnes","doi":"10.1016/j.sleepx.2022.100056","DOIUrl":"10.1016/j.sleepx.2022.100056","url":null,"abstract":"<div><h3>Objective</h3><p>To investigate the relation between serum 25-hydroxyvitamin D (s-25(OH)D) and subjective sleep measures in an Arctic population (69°N).</p></div><div><h3>Methods</h3><p>Cross-sectional data was collected from 21,083 individuals (aged ≥40 years) participating in the population based Tromsø Study: Tromsø7 (2015–2016). The present study included 20,438 participants, after having excluded respondents missing data on s-25(OH)D (n = 161) and/or subjective sleep measures (including sleep duration, insomnia, and daytime sleepiness)(n = 490). Based on s-25(OH)D (assessed using LC-MS/MS), participants were grouped as deficient (<30 nmol/L), insufficient (30–49.9 nmol/L), sufficient (50–75 nmol/L), or high (>75 nmol/L). Sleep duration was grouped as inadequate (ISD) if < 7 or ≥9 h. Linear and logistic regression were used to calculate unstandardized <em>β</em>-values and odds ratios [95% confidence intervals]. The analyses were adjusted for season, age, BMI, lifestyle factors and relevant comorbidities.</p></div><div><h3>Results</h3><p>In both men and women, s-25(OH)D was positively associated with sleep duration, and compared to the sufficient s-25(OH)D group, the insufficient s-25(OH)D group reported significantly shorter sleep duration in both sexes. There was an increased odds of ISD in both men and women but adjusted for confounding factors this was only significant in women (1.16 [1.03, 1.32], <em>p</em> = .017). In men, there were no significant associations between s-25(OH)D and the remaining sleep measures. Women in the high s-25(OH)D group had lower ESS-scores (−0.28 [-0.47, −0.08], <em>p</em> = .006), but higher odds of insomnia (1.16 [1.01, 1.33], <em>p</em> = .036) compared to women in the sufficient group.</p></div><div><h3>Conclusions</h3><p>In this Arctic population, a tenuous association was found between s-25(OH)D and subjective sleep measures, predominantly in women.</p></div>","PeriodicalId":37065,"journal":{"name":"Sleep Medicine: X","volume":"4 ","pages":"Article 100056"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/a0/52/main.PMC9579360.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40566810","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 : 2022-12-01DOI: 10.1016/j.sleepx.2022.100057
Mark R. Pressman
The timing of first period of slow wave sleep (SWS) is often used as a proxy for determining if and when Disorders of Arousal (DOA) such as sleepwalking are likely to occur or did occur in the past. In criminal cases employing a “sleepwalking defense” the prosecution may argue that nocturnal violence or sexually aggressive behavior occurred too early in the sleep period to be associated with SWS. Expert witness opinion on the expected latency to SWS (LSWS) has varied from minutes after sleep onset to ≥60 min. A search of PubMed was conducted for LSWS and for any reports of DOAs occurring from stage N2. A total of 21 studies reported LSWS in normal controls, clinically diagnosed sleepwalkers, in otherwise normal sleepers following different types of sleep deprivation and due to the effects of alcohol. Five studies reported episodes of DOA from N2 sleep. The shortest mean LSWS of 6.4 min was found with a combination of total sleep deprivation and alcohol. In a group of normal research subjects, a LSWS mean of 10.7 min was noted. LSWS in DOA patients occurred as early as a mean of 12.4 min. Two sleep studies performed on Kenneth Parks, acquitted of the murder of his mother-in-law by a sleepwalking defense, reported LSWSs of 9.7 and 10 min. Sleep deprivation but not alcohol was found to decrease LSWS significantly. Expert opinions on LSWS should be based on scientific peer reviewed publications documenting empirical sleep evidence and can be much shorter than is generally reported.
{"title":"Disorders of Arousal and timing of the first period of slow wave sleep: Clinical and forensic implications","authors":"Mark R. Pressman","doi":"10.1016/j.sleepx.2022.100057","DOIUrl":"10.1016/j.sleepx.2022.100057","url":null,"abstract":"<div><p>The timing of first period of slow wave sleep (SWS) is often used as a proxy for determining if and when Disorders of Arousal (DOA) such as sleepwalking are likely to occur or did occur in the past. In criminal cases employing a “sleepwalking defense” the prosecution may argue that nocturnal violence or sexually aggressive behavior occurred too early in the sleep period to be associated with SWS. Expert witness opinion on the expected latency to SWS (LSWS) has varied from minutes after sleep onset to ≥60 min. A search of PubMed was conducted for LSWS and for any reports of DOAs occurring from stage N2. A total of 21 studies reported LSWS in normal controls, clinically diagnosed sleepwalkers, in otherwise normal sleepers following different types of sleep deprivation and due to the effects of alcohol. Five studies reported episodes of DOA from N2 sleep. The shortest mean LSWS of 6.4 min was found with a combination of total sleep deprivation and alcohol. In a group of normal research subjects, a LSWS mean of 10.7 min was noted. LSWS in DOA patients occurred as early as a mean of 12.4 min. Two sleep studies performed on Kenneth Parks, acquitted of the murder of his mother-in-law by a sleepwalking defense, reported LSWSs of 9.7 and 10 min. Sleep deprivation but not alcohol was found to decrease LSWS significantly. Expert opinions on LSWS should be based on scientific peer reviewed publications documenting empirical sleep evidence and can be much shorter than is generally reported.</p></div>","PeriodicalId":37065,"journal":{"name":"Sleep Medicine: X","volume":"4 ","pages":"Article 100057"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/63/81/main.PMC9520070.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40391309","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}