scholarly journals Enhanced Monitoring of Sleep Position in Sleep Apnea Patients: Smartphone Triaxial Accelerometry Compared with Video-Validated Position from Polysomnography

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3689
Author(s):  
Ignasi Ferrer-Lluis ◽  
Yolanda Castillo-Escario ◽  
Josep Maria Montserrat ◽  
Raimon Jané
Keyword(s):  
Sleep Apnea ◽  
Sleep Quality ◽  
Position Angle ◽  
Cerebrovascular Diseases ◽  
Sleep Position ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Position Resolution ◽  
Obstructive Sleep ◽  
Discrete Values

Poor sleep quality is a risk factor for multiple mental, cardiovascular, and cerebrovascular diseases. Certain sleep positions or excessive position changes can be related to some diseases and poor sleep quality. Nevertheless, sleep position is usually classified into four discrete values: supine, prone, left and right. An increase in sleep position resolution is necessary to better assess sleep position dynamics and to interpret more accurately intermediate sleep positions. This research aims to study the feasibility of smartphones as sleep position monitors by (1) developing algorithms to retrieve the sleep position angle from smartphone accelerometry; (2) monitoring the sleep position angle in patients with obstructive sleep apnea (OSA); (3) comparing the discretized sleep angle versus the four classic sleep positions obtained by the video-validated polysomnography (PSG); and (4) analyzing the presence of positional OSA (pOSA) related to its sleep angle of occurrence. Results from 19 OSA patients reveal that a higher resolution sleep position would help to better diagnose and treat patients with position-dependent diseases such as pOSA. They also show that smartphones are promising mHealth tools for enhanced position monitoring at hospitals and home, as they can provide sleep position with higher resolution than the gold-standard video-validated PSG.

scholarly journals Clinical Implications of Active Coping on Sleep: John Henryism in a Sickle Cell Disease Cohort

Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 1025-1025
Author(s):  
Vence L. Bonham ◽  
Kayla Cooper ◽  
Caterina P. Minniti ◽  
Khadijah Abdallah ◽  
Ashley Buscetta
Keyword(s):  
Sleep Apnea ◽  
Sleep Quality ◽  
Demographic Data ◽  
Active Coping ◽  
Poor Sleep ◽  
John Henryism ◽  
Poor Sleep Quality ◽  
Obstructive Sleep ◽  
High Utilization ◽  
High Effort

Background: Approximately 57% of individuals with Sickle Cell Disease (SCD) suffer from sleep disorders and poor sleep quality. Poor sleep quality may cause excessive daytime sleepiness and is often associated with psychosocial and clinical factors contributing to disease burden and stress levels. One of these psychosocial factors is John Henryism (JH). Defined as a high-effort, active coping style, JH is used by persons with a strong determination to succeed in the face of chronic stressors. Both sleep and JH have mostly been shown to be negatively associated with cardiovascular health. Living with SCD is a unique stressor and how persons cope with their disease may impact their quality of life and health outcomes. The objective of this study is to 1) evaluate the impact of sleep quality and 2) quantify the effect of sleep quality on high-effort coping among persons with SCD. Methods: The sample comprised 191 adults aged 19-71 with SCD. Most participants were women (57%) and had a mean age of 39 years (SD+12.2) (see Table 1). All participants were enrolled in the Insights into Microbiome and Environmental Contributions to SCD and Leg Ulcers (INSIGHTS) study (NCT02156102). All participants were administered a variety of psychosocial measures, a comprehensive medical history and physical exam, and provided blood and saliva samples for clinical and research analysis. Our binary outcome assessed participants' high or low utilization of JH coping style by using the John Henryism Active Coping Scale (JHAC12). JHAC12 scores were measured from participant responses to a 12-item Likert scale. Scores range from 12 to 60 with higher scores indicting higher utilization of JH active coping. Based on the median JH score of our participants, scores between 12-50.9 were categorized as low utilization of JH and scores between 51-60 were categorized as high utilization of JH. Predictors included demographic data and psychosocial measures. Sleep quality was assessed via clinical and survey measures. Clinically, obstructive sleep apnea was self-reported during a comprehensive medical exam. The ASCQ-ME sleep survey is a 5-item measure, and was used to ascertain participant sleep patterns within the past seven days. Scores range from 40 to 60. Scores less than 50 are considered abnormal. Multivariable logistic regression was performed to evaluate differences within the cohort. Results: Mean ASCQ-ME sleep score of the entire cohort was 46, indicating worse sleep quality for participants compared to the ASCQ-ME national SCD reference cohort. Obstructive sleep-apnea was self-reported by 23 participants (12%). The mean JH score was 52, indicating high utilization of active coping. Poorer sleep quality was associated with higher JH coping (OR:1.14, 95% CI: [1.06-1.22]) (see Table 2). There were no significant associations between utilization of JH active coping with the demographic data including sex, age, education and marital status. Worse sleep quality within the SCD cohort was associated with increased usage of hydroxyurea (r= .16, p<.05), history of cardiovascular disease (r= .13, p<.05), higher pain score at study visit (r=.15, p<.05) and increased systolic blood pressure (r=.18, p<.01). Conclusion: Preliminary findings support a relationship between JH and sleep quality in a SCD cohort. In a disease population with high sleep apnea prevalence, these findings have potential clinical implications. Future work should focus on how these psychosocial factors impact sleep and clinical presentation. Disclosures Minniti: Doris Duke Foundation: Research Funding.

Which Factors Are the Most Important for Predicting Sleep Quality in Obstructive Sleep Apnea Patients with Obesity?

2019 ◽  
Vol 81 (3-4) ◽  
pp. 190-196
Author(s):  
Byung Joon Kim ◽  
Kang Min Park
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Sleep Quality ◽  
Control Group ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Obstructive Sleep ◽  
N Stage ◽  
Improve Sleep Quality

Background: Both obstructive sleep apnea (OSA) and obesity are associated with poor sleep quality. However, there have been no studies investigating sleep quality in OSA patients with obesity. The aims of this study were to (1) evaluate the sleep quality in OSA patients with obesity and (2) identify the parameters most related to sleep quality in OSA patients with obesity. Methods: Of the patients with polysomnography (PSG), OSA patients with obesity (body mass index [BMI] ≥25) were enrolled and then divided into 2 groups based on the Pittsburg Sleep Questionnaire Index (PSQI): patients with good sleep quality (PSQI ≤5, good sleepers) and those with poor sleep quality (PSQI >5, poor sleepers). In addition, we enrolled OSA patients without obesity as a disease control group. Results: Eighty-two OSA patients with obesity met the inclusion criteria (28 were good sleepers, whereas 54 were poor sleepers). We found that the BMI of the poor sleepers was significantly higher than that of the good sleepers, whereas the N-stage sleep ratio of good sleepers was higher than that of poor sleepers. Logistic ­regression analysis also showed that a high BMI and low ­N-stage sleep ratio were independently associated with poor sleep quality. In addition, BMI and N-stage sleep ratio were significantly correlated with PSQI. However, in 56 OSA patients (n = 56) without obesity, there were no differences of demographic/clinical characteristics and PSG parameters between the good (n = 18) and poor sleepers (n = 38). Discussions: About two-thirds of OSA patients with obesity show poor sleep quality. The sleep quality of these patients was more affected by the severity of obesity, but not the severity of OSA. Thus, we recommend weight loss in OSA patients with obesity to improve sleep quality as well as the severity of OSA.

scholarly journals Underlying Mechanisms for Coexisting Central and Obstructive Sleep Apnea: Nocturnal PaCO2 and Poor Sleep Quality Are Key Issues

Respiration ◽  
2015 ◽  
Vol 89 (5) ◽  
pp. 416-419 ◽  
Author(s):  
Olivier Contal ◽  
Jean Louis P�pin ◽  
Jean Christian Borel ◽  
Fabrice Espa ◽  
Stephen Perrig ◽  
...  
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Sleep Quality ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Obstructive Sleep ◽  
Key Issues ◽  
Underlying Mechanisms

scholarly journals Association of Musculoskeletal Joint Pain With Obstructive Sleep Apnea, Daytime Sleepiness, and Poor Sleep Quality in Men

2017 ◽  
Vol 69 (5) ◽  
pp. 742-747 ◽  
Author(s):  
Joule J. Li ◽  
Sarah L. Appleton ◽  
Tiffany K. Gill ◽  
Andrew Vakulin ◽  
Gary A. Wittert ◽  
...  
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Sleep Quality ◽  
Daytime Sleepiness ◽  
Joint Pain ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Obstructive Sleep

scholarly journals Poor sleep quality and obstructive sleep apnea in patients with GERD and Barrett's esophagus

2013 ◽  
Vol 26 (3) ◽  
pp. 346-352 ◽  
Author(s):  
M. F. Vela ◽  
J. R. Kramer ◽  
P. A. Richardson ◽  
R. Dodge ◽  
H. B. El-Serag
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Sleep Quality ◽  
Barrett’S Esophagus ◽  
Barrett's Esophagus ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Obstructive Sleep

The Role of Cortical Arousals as an Indicator of Poor Sleep Quality in the Reduction of Blood Pressure Under Long-term CPAP Therapy for Obstructive Sleep Apnea and Resistant Hypertension

CHEST Journal ◽  
2015 ◽  
Vol 148 (4) ◽  
pp. 1057A
Author(s):  
Oana-Claudia Deleanu ◽  
Andra Malaut ◽  
Ana Maria Nebunoiu ◽  
Alexandra Roberta Sandu ◽  
Valentin Caius Cosei ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Sleep Quality ◽  
Poor Sleep ◽  
Cpap Therapy ◽  
Poor Sleep Quality ◽  
Obstructive Sleep

scholarly journals Sleep disturbances in HIV-infected patients associated with depression and high risk of obstructive sleep apnea

2019 ◽  
Vol 7 ◽  
pp. 205031211984226 ◽  
Author(s):  
Jeydith Gutierrez ◽  
Ellen M Tedaldi ◽  
Carl Armon ◽  
Vaidahi Patel ◽  
Rachel Hart ◽  
...  
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Sleep Quality ◽  
Sleep Disturbances ◽  
Sleep Problems ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Patient Cohort ◽  
Obstructive Sleep ◽  
Single Question

Objective: To evaluate sleep disturbances in a diverse, contemporary HIV-positive patient cohort and to identify demographic, clinical, and immune correlates. Methods: A convenience sample of 176 patients from a racially and ethnically diverse HIV-positive patient cohort in an urban population. This was a cross-sectional, epidemiologic study. We surveyed participants using multiple standardized instruments to assess depression, sleep quality, and risk for sleep apnea. We analyzed demographic, behavioral, and clinical correlates. Results: A total of 56% of participants were female, 75% Black and 64% had heterosexual HIV risk. The median age was 49 years. Poor sleep quality (Pittsburgh Sleep Quality Index > 5) was reported by 73% of patients and 52% met insomnia diagnosis criteria. A single question about self-reported sleep problems predicted a Pittsburgh Sleep Quality Index > 5 with a sensitivity and specificity of 82% and 81%, respectively. Female sex was significantly associated with higher risk of poor sleep quality, depression, and insomnia, whereas higher risk of obstructive sleep apnea was significantly associated with older age, male sex, obesity (body mass index ⩾ 30 kg/m2), and metabolic comorbidities. High risk for obstructive sleep apnea, high rate of depression, and poor sleep hygiene represent treatment targets for sleep problems in HIV patients. Conclusion: Sleep disturbances were common in this patient cohort, although largely undiagnosed and untreated. Sleep problems are linked to worse disease progression and increased cardiovascular mortality. Screening for sleep problems with a single question had high sensitivity and specificity. In those patients with self-reported sleep problems, screening for obstructive sleep apnea, depression, and sleep hygiene habits should be part of routine HIV care.

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