scholarly journals 0570 Apnea-Hypopnea Index is Positively Correlated with Mood Disturbance

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A218-A219
Author(s):  
K M Stubbers ◽  
S S Thosar ◽  
M P Butler ◽  
N P Bowles ◽  
A W McHill ◽  
...  
Keyword(s):  
Diagnostic Criteria ◽  
Mood State ◽  
Mood Disturbance ◽  
Apnea Hypopnea Index ◽  
Uncomplicated Hypertension ◽  
Total Mood Disturbance ◽  
Obstructive Sleep ◽  
Sleep Schedule ◽  
The Relationship ◽  
Larger Sample

Abstract Introduction The prevalence of mood disorders such as depression is higher in individuals with obstructive sleep apnea (OSA). Previous studies have found no significant correlation between the apnea-hypopnea index (AHI) and measures of mood and have only included participants who met diagnostic criteria for OSA. The current analysis sought to determine whether mood correlated with AHI in individuals with any AHI values including those that did not meet diagnostic criteria for OSA. Methods 31 volunteers were studied (BMI=29.2±1.0 kg/m2, mean±SE), free from medication and without psychiatric illness or chronic medical conditions with the exception of untreated OSA, uncomplicated hypertension (BP<160/100), or obesity. Following 1-3 weeks of an 8h habitual at home sleep schedule, participants completed the POMS-Brief questionnaire (POMS-B) to assess mood after undergoing overnight polysomnography to determine AHI. Total mood disturbance (TMD) scores were calculated by adding the scores on the POMS-B for each mood state subscale and subtracting the score for vigor-activity. Results The average AHI was 15.3±3.1 (range of 1.1-74.1) events per hour. The average POMS-B TMD score was 21±1.5 (range of 4-46). There was a significant correlation between the POMS-B TMD score and AHI (p=0.037, r2=0.14). This result was also seen in only those individuals with AHI scores >5 (p=0.002, r2=0.4). Conclusion In this sample, individuals with higher AHI values displayed higher TMD scores. These results differ from previous data that showed no significant correlation between AHI and TMD. This is the first analysis to demonstrate a correlation between TMD and AHI while including individuals who didn’t meet diagnostic criteria for OSA. However, the relationship between AHI and TMD was also significant in those with AHI>5. More data on these measures with larger sample sizes and a more equal representation of AHI values should be gathered to provide additional evidence for this relationship. Support: Support NIH R01-HL125893; CTSA UL1TR000128, R21HL140377

scholarly journals Snoring: a source of noise pollution and sleep apnea predictor

SLEEP ◽  
2019 ◽  
Vol 43 (6) ◽  
Author(s):  
Mudiaga Sowho ◽  
Francis Sgambati ◽  
Michelle Guzman ◽  
Hartmut Schneider ◽  
Alan Schwartz
Keyword(s):  
Sleep Apnea ◽  
Operating Characteristic ◽  
Area Under The Curve ◽  
Noise Pollution ◽  
Apnea Hypopnea Index ◽  
Sleep Study ◽  
Sound Levels ◽  
Obstructive Sleep ◽  
Single Night ◽  
The Relationship

Abstract Snoring is a highly prevalent condition associated with obstructive sleep apnea (OSA) and sleep disturbance in bed partners. Objective measurements of snoring in the community, however, are limited. The present study was designed to measure sound levels produced by self-reported habitual snorers in a single night. Snorers were excluded if they reported nocturnal gasping or had severe obesity (BMI > 35 kg/m2). Sound was measured by a monitor mounted 65 cm over the head of the bed on an overnight sleep study. Snoring was defined as sound ≥40 dB(A) during flow limited inspirations. The apnea hypopnea index (AHI) and breath-by-breath peak decibel levels were measured. Snore breaths were tallied to determine the frequency and intensity of snoring. Regression models were used to determine the relationship between objective measures of snoring and OSA (AHI ≥ 5 events/h). The area under the curve (AUC) for the receiver operating characteristic (ROC) was used to predict OSA. Snoring intensity exceeded 45 dB(A) in 66% of the 162 participants studied, with 14% surpassing the 53 dB(A) threshold for noise pollution. Snoring intensity and frequency were independent predictors of OSA. AUCs for snoring intensity and frequency were 77% and 81%, respectively, and increased to 87% and 89%, respectively, with the addition of age and sex as predictors. Snoring represents a source of noise pollution in the bedroom and constitutes an important target for mitigating sound and its adverse effects on bed partners. Precise breath-by-breath identification and quantification of snoring also offers a way to risk stratify otherwise healthy snorers for OSA.

Mood State Response to Massage and Subsequent Exercise Performance

2005 ◽  
Vol 19 (3) ◽  
pp. 234-250 ◽  
Author(s):  
Dominic Micklewright ◽  
Murray Griffin ◽  
Valerie Gladwell ◽  
Ralph Beneke
Keyword(s):  
Experimental Design ◽  
Exercise Performance ◽  
Psychological Factors ◽  
Mood State ◽  
Mood Disturbance ◽  
Anaerobic Performance ◽  
State Response ◽  
Before And After ◽  
Within Subjects ◽  
The Relationship

A within subjects experimental design (N = 16) was used where participants performed a 30-s Wingate anaerobic cycling test (WAnT) after 30-min rest and after 30-min back massage. Mood State was measured before and after each intervention and after the WAnTs. No significant change in mood was detected following rest or massage. However, WAnT performance was better following massage compared to rest. Mood disturbance increased following the WAnT in both the rest and massage conditions. The results suggest that preperformance massage had no effect on mood state yet seemed to facilitate enhanced WAnT performance. The relationship between massage and anaerobic performance remains unclear, however is almost certainly mediated by preperformance psychological factors other than mood state.

scholarly journals 1014 Relationship Between Lung Function and Obstructive Sleep Apnea in Cystic Fibrosis

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A385-A385
Author(s):  
A Shakkottai ◽  
S Z Nasr ◽  
F Hassan ◽  
L M O’Brien ◽  
R D Chervin
Keyword(s):  
Cystic Fibrosis ◽  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Lung Function ◽  
Forced Expiratory Volume ◽  
Apnea Hypopnea Index ◽  
Lung Function Decline ◽  
Obstructive Sleep ◽  
Larger Sample ◽  
Training Grant

Abstract Introduction The frequency of obstructive sleep apnea (OSA) may be high among patients with cystic fibrosis (CF), a life-shortening, genetic respiratory disease that affects approximately 30,000 Americans. Yet, the potential relationship between OSA and lung function has not been thoroughly explored. Methods Single-center retrospective review of polysomnography (PSG) results from 2009-2017 in referred patients with CF and available pulmonary function data (PFTs) obtained at time of PSG and at 3, 6, 9, and 12-months prior. Results Mean ages were 11.1±3.9 (sd) and 37.1±14.1 years, among 18 children and 16 adults, respectively. Mean body mass index (BMI) was normal in both groups (62.5±26.6% in children; 25.1±6.4 kg/m2 in adults). Twenty-six subjects (76%) had OSA (apnea-hypopnea index >1 in children, ≥5 in adults). Mean forced expiratory volume in 1 second percent predicted (FEV1 PPD) was higher among subjects with vs. without OSA at PSG and at each time-point in the year prior, independent of age and BMI at PSG (longitudinal mixed effects model, β=19.0, SE=8.1, p=0.028). While FEV1 PPD remained unchanged in the non-OSA group, FEV1 PPD at PSG was lower, in comparison to the year prior in subjects with OSA, with the greatest difference observed at 9-months prior to PSG (2-sample t-test, difference of -6.6% vs 0.6% in OSA vs. non-OSA groups respectively, p=0.078). Conclusion The PFTs, as daytime markers of CF lung disease severity, do not seem to reliably predict risk for OSA. In our sample, CF patients with vs. without OSA had better PFTs at baseline but they also showed a greater tendency for decline in PFTs over the year prior to OSA diagnosis. Larger sample size and longer duration of assessment may help, going forward, to assess any potential adverse impact of OSA on lung function decline. Support NIH Training Grant (T32NS007222, F32HL145915)

Does craniofacial morphology relate to sleep apnea severity reduction following weight loss intervention? A patient-level meta-analysis

SLEEP ◽  
2020 ◽  
Author(s):  
Kate Sutherland ◽  
Julia L Chapman ◽  
Elizabeth A Cayanan ◽  
Aimee B Lowth ◽  
Camilla M Hoyos ◽  
...  
Keyword(s):  
Weight Loss ◽  
Sleep Apnea ◽  
Meta Analysis ◽  
Craniofacial Morphology ◽  
Apnea Hypopnea Index ◽  
Facial Morphology ◽  
Weight Loss Intervention ◽  
Obstructive Sleep ◽  
Intervention Trials ◽  
The Relationship

Abstract Study Objectives Obesity is a common and reversible risk factor for obstructive sleep apnea (OSA). However, there is substantial unexplained variability in the amount of OSA improvement for any given amount of weight loss. Facial photography is a simple, inexpensive, and radiation-free method for craniofacial assessment. Our aims were (1) to determine whether facial measurements can explain OSA changes, beyond weight loss magnitude and (2) whether facial morphology relates to how effective weight loss will be for OSA improvement. Methods We combined data from three weight loss intervention trials in which participants had standardized pre-intervention facial photography (N = 91; 70.3% male, mean ± SD weight loss 10.4 ± 9.6% with 20.5 ± 51.2% apnea–hypopnea index [AHI] reduction). Three skeletal-type craniofacial measurements (mandibular length, lower face height, and maxilla-mandible relationship angle) were assessed for relationship to AHI change following weight loss intervention. Results Weight and AHI changes were moderately correlated (rho = 0.3, p = 0.002). In linear regression, an increased maxilla-mandible relationship angle related to AHI improvement (β [95% CI] −1.7 [−2.9, −0.5], p = 0.004). Maxilla-mandible relationship angle explained 10% in the variance in AHI over the amount predicted by weight loss amount (20%). The relationship between weight change and AHI was unaffected by the maxilla–mandible relationship angle (interaction term p > 0.05). Conclusions Regardless of facial morphology, weight loss is similarly moderately predictive of OSA improvement. Increased maxilla-mandible relationship angle, suggestive of retrognathia, was weakly predictive of OSA response to weight loss. Although this is unlikely to be clinically useful, exploration in other ethnic groups may be warranted.

Abstract MP21: Better Sleep Health is Associated With Greater Weight Loss During a 12-month Behavioral Weight Loss Intervention

Circulation ◽  
2020 ◽  
Vol 141 (Suppl_1) ◽  
Author(s):  
Christopher E Kline ◽  
Zhadyra H Bizhanova ◽  
Susan M Sereika ◽  
Daniel Buysse ◽  
Christopher C Imes ◽  
...  
Keyword(s):  
Weight Loss ◽  
Weight Change ◽  
Apnea Hypopnea Index ◽  
Poor Sleep ◽  
Weight Loss Intervention ◽  
Behavioral Weight Loss ◽  
Sleep Health ◽  
Obstructive Sleep ◽  
Behavioral Weight Loss Intervention ◽  
The Relationship

Introduction: Sleep is consistently associated with obesity risk, but minimal research has examined its relationship with attempted weight loss. Most of the available evidence has focused on sleep duration, which fails to recognize the multidimensional nature of sleep. Purpose: To examine the relationship between a composite measure of sleep health and weight change in a sample of adults who participated in a 12-month behavioral weight loss intervention. Methods: 125 adults with overweight or obesity enrolled in the EMPOWER study (50.3±10.6 years, 91% female, 81% white) were included in analyses. All individuals participated in a 12-month behavioral weight loss intervention, with assessments at baseline, 6 months, and 12 months. Six dimensions of sleep were included in our operationalization of sleep health: regularity, satisfaction, alertness, timing, efficiency, and duration. Sleep dimensions were assessed using validated questionnaires and actigraphy, with values dichotomized into ‘good’ and ‘poor’ sleep. A composite sleep health score was calculated based upon the sum of the ‘good’ individual dimensions (range: 0-6), with higher scores indicating better sleep health. Obstructive sleep apnea (OSA) was assessed in a subset of participants (n=117) with a portable home sleep testing device, using the apnea-hypopnea index (AHI) as a marker of OSA severity. Linear mixed modeling was used to examine the relationship between sleep health and weight change during the subsequent 6-month interval with adjustment for age, gender, bed partner, and race. An additional model adjusted for AHI along with the previously noted covariates. Results: Mean sleep health was 4.5±1.1 at baseline and 4.5±1.2 at 6 months, and mean % weight change from 0 to 6 months and 6 to 12 months was -9.3±6.1% and 0.4±4.8%, respectively. In the adjusted model, greater sleep health was associated with greater weight loss (b=-0.77, SE=0.32; P=.02). Following additional adjustment for AHI, the relation between sleep health and weight loss was no longer significant (b=-0.53, SE=0.34; P=.12). Among individual sleep dimensions, only regularity and satisfaction showed trends to be associated with weight change (b=-1.28, SE=0.72 [P=.08] and b=-1.67, SE=0.86 [P=.06], respectively); however, these marginal associations were not retained after AHI adjustment (each P=.15). Conclusions: Better sleep health was associated with greater weight loss, but this association did not persist after accounting for OSA severity. Because OSA negatively impacts sleep health, future research should address whether improving sleep health, OSA, and/or the combination leads to better weight loss.

scholarly journals Mood Predicts Response to Placebo CPAP

2012 ◽  
Vol 2012 ◽  
pp. 1-6 ◽  
Author(s):  
Carl J. Stepnowsky ◽  
Wei-Chung Mao ◽  
Wayne A. Bardwell ◽  
José S. Loredo ◽  
Joel E. Dimsdale
Keyword(s):  
Positive Airway Pressure ◽  
Placebo Response ◽  
Hierarchical Regression ◽  
Apnea Hypopnea Index ◽  
Drug Trials ◽  
Factors Associated ◽  
Beneficial Effects ◽  
Cpap Treatment ◽  
Total Mood Disturbance ◽  
Obstructive Sleep

Study Objectives. Continuous positive airway pressure (CPAP) therapy is efficacious for treating obstructive sleep apnea (OSA), but recent studies with placebo CPAP (CPAP administered at subtherapeutic pressure) have revealed nonspecific (or placebo) responses to CPAP treatment. This study examined baseline psychological factors associated with beneficial effects from placebo CPAP treatment.Participants. Twenty-five participants were studied with polysomnography at baseline and after treatment with placebo CPAP.Design. Participants were randomized to either CPAP treatment or placebo CPAP. Baseline mood was assessed with the Profile of Mood States (POMS). Total mood disturbance (POMS-Total) was obtained by summing the six POMS subscale scores, with Vigor weighted negatively. The dependent variable was changed in apnea-hypopnea index (ΔAHI), calculated by subtracting pre- from post-CPAP AHI. Negative values implied improvement. Hierarchical regression analysis was performed, with pre-CPAP AHI added as a covariate to control for baseline OSA severity.Results. Baseline emotional distress predicted the drop in AHI in response to placebo CPAP. Highly distressed patients showed greater placebo response, with a 34% drop (i.e., improvement) in AHI.Conclusion. These findings underscore the importance of placebo-controlled studies of CPAP treatment. Whereas such trials are routinely included in drug trials, this paper argues for their importance even in mechanical-oriented sleep interventions.

P4479The association of LEPR rs1137101 polymorphism with the incidence of left ventricular hypertrophy in patients with obstructive sleep apnea and hypertension

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
P Sobieraj ◽  
P Bielicki ◽  
R Plywaczewski ◽  
K Brzoska ◽  
M Barnas ◽  
...  
Keyword(s):  
Obstructive Sleep Apnea ◽  
Risk Factor ◽  
Left Ventricular Hypertrophy ◽  
Arterial Hypertension ◽  
Odds Ratio ◽  
Ventricular Hypertrophy ◽  
Left Ventricular ◽  
Apnea Hypopnea Index ◽  
Obstructive Sleep ◽  
The Relationship

Abstract Background/Introduction Obstructive sleep apnea (OSA) is one of the most common respiratory disease which is considered as a risk factor for cardiovascular disease and death. Although coexistence of OSA and arterial hypertension may be attributed to well-known common environmental risk factors for both diseases, a genetic background should be considered. LEPR rs1137101 polymorphism was reported to be associated with coronary artery disease and heart failure. Left ventricular hypertrophy is a part of hypertension-mediated organ damage assessment and an independent risk factor for adverse outcome in patients with hypertension. Purpose This study is aimed to establish the relationship between LEPR rs1137101 polymorphism and left ventricular hypertrophy in patients with OSA and arterial hypertension. Methods Consecutive patients with newly diagnosed OSA confirmed by polysomnography underwent genotyping for the single nucleotide polymorphisms of LEPR (rs1137101). LVH was diagnosed using standard 12-lead electrocardiogram according to the current European Society of Cardiology guidelines. Logistic regression was used to assess the relationship between LEPR rs1137101 polymorphisms and LVH. Results From 600 subjects diagnosed with OSA, 427 subjects with hypertension were included for further analysis (25.1% women, 74.9% men). In analyzed subpopulation mean age was 58.5±9.4 years, body mass index 33.7±6.6 kg/m2, apnea-hypopnea index 43.1±23.6/hour. In 34 (8.0%) subjects LVH was diagnosed. Genotyping revealed, that 123 (28.8%) subjects were LEPR rs1137101 AA homozygotes, 202 (47.3%) LEPR rs1137101 A/G heterozygotes and 102 (23.9) LEPR rs1137101 G/G homozygotes. Logistic regression showed, that LEPR rs1137101 A/A polymorphism vs A/G and G/G was associated with increased risk of LVH (odds ratio: 2.08, 95% confidence interval: 1.02–4.25, p=0.03). The relationship was significant also after adjustment for age, sex, apnea-hypopnea index and current smoking status (odds ratio: 2.28, 95% confidence interval: 1.08–4.83, p=0.03). Conclusions Our study shows a possible link between the polymorphism of the LEPR rs1137101 polymorphism and LVH in patients with OSA and arterial hypertension. Acknowledgement/Funding The study received financial support from the Polish National Science Centre (710/N-COST/2010/0)

scholarly journals A Clinical Prediction Formula for Apnea-Hypopnea Index

2014 ◽  
Vol 2014 ◽  
pp. 1-5 ◽  
Author(s):  
Mustafa Sahin ◽  
Cem Bilgen ◽  
M. Sezai Tasbakan ◽  
Rasit Midilli ◽  
Ozen K. Basoglu
Keyword(s):  
Linear Regression Analysis ◽  
Sleep Apnea Syndrome ◽  
Laboratory Data ◽  
Apnea Hypopnea Index ◽  
Multivariate Linear Regression Analysis ◽  
Clinical Prediction ◽  
Prediction Formula ◽  
Obstructive Sleep ◽  
Apnea Syndrome ◽  
The Relationship

Objectives. There are many studies regarding unnecessary polysomnography (PSG) when obstructive sleep apnea syndrome (OSAS) is suspected. In order to reduce unnecessary PSG, this study aims to predict the apnea-hypopnea index (AHI) via simple clinical data for patients who complain of OSAS symptoms.Method. Demographic, anthropometric, physical examination and laboratory data of a total of 390 patients (290 men, average age 50 ± 11) who were subject to diagnostic PSG were obtained and evaluated retrospectively. The relationship between these data and the PSG results was analyzed. A multivariate linear regression analysis was performed step by step to identify independent AHI predictors.Results. Useful parameters were found in this analysis in terms of body mass index (BMI), waist circumference (WC), neck circumference (NC), oxygen saturation measured by pulse oximetry (SpO2), and tonsil size (TS) to predict the AHI. The formula derived from these parameters was the predicted AHI = (0.797 × BMI) + (2.286 × NC) − (1.272 × SpO2) + (5.114 × TS) + (0.314 × WC).Conclusion. This study showed a strong correlation between AHI score and indicators of obesity. This formula, in terms of predicting the AHI for patients who complain about snoring, witnessed apneas, and excessive daytime sleepiness, may be used to predict OSAS prior to PSG and prevent unnecessary PSG.

scholarly journals Circulating Endocannabinoids and Insulin Resistance in Patients with Obstructive Sleep Apnea

2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Xiaoya Wang ◽  
Qin Yu ◽  
Hongmei Yue ◽  
Jiabin Zhang ◽  
Shuang Zeng ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Resistance Index ◽  
Control Group ◽  
Apnea Hypopnea Index ◽  
Insulin Resistance Index ◽  
Obstructive Sleep ◽  
Insulin Homeostasis ◽  
The Relationship

Objectives. The purpose of this study is to investigate the relationship between plasma endocannabinoids and insulin resistance (IR) in patients with obstructive sleep apnea (OSA).Methods. A population of 64 with OSA and 24 control subjects was recruited. Body mass index (BMI), waist circumference, lipids, blood glucose and insulin, homeostasis model of assessment for insulin resistance index (HOMA-IR), anandamide (AEA), 1/2-arachidonoylglycerol (1/2-AG), and apnea-hypopnea index (AHI) were analyzed.Results. Fasting blood insulin (22.9 ± 7.8 mIU/L versus 18.5 ± 7.2 mIU/L,P<0.05), HOMA-IR (2.9 ± 1.0 versus 2.4 ± 0.9,P<0.01), AEA (3.2 ± 0.7 nmol/L versus 2.5 ± 0.6 nmol/L,P<0.01), and 1/2-AG (40.8 ± 5.7 nmol/L versus 34.3 ± 7.7 nmol/L,P<0.01) were higher in OSA group than those in control group. In OSA group, AEA, 1/2-AG, and HOMA-IR increase with the OSA severity. The correlation analysis showed significant positive correlation between HOMA-IR and AHI (r=0.44,P<0.01), AEA and AHI (r=0.52,P<0.01), AEA and HOMA-IR (r=0.62,P<0.01), and 1/2-AG and HOMA-IR (r=0.33,P<0.01). Further analysis showed that only AEA was significantly correlated with AHI and HOMA-IR after adjusting for confounding factors.Conclusions. The present study indicated that plasma endocannabinoids levels, especially AEA, were associated with IR and AHI in patients with OSA.

scholarly journals High Vitamin C Status Is Associated with Elevated Mood in Male Tertiary Students

Antioxidants ◽  
2018 ◽  
Vol 7 (7) ◽  
pp. 91 ◽  
Author(s):  
Juliet Pullar ◽  
Anitra Carr ◽  
Stephanie Bozonet ◽  
Margreet Vissers
Keyword(s):  
Vitamin C ◽  
Mood State ◽  
Mood Disturbance ◽  
Plasma Vitamin ◽  
Adult Males ◽  
High Vitamin ◽  
Micronutrient Status ◽  
Total Mood Disturbance ◽  
Brain Structure And Function ◽  
The Individual

Micronutrient status is thought to impact on psychological mood due to the role of nutrients in brain structure and function. The aim of the current study was to investigate the association of vitamin C status with mood state in a sample of male tertiary students. We measured fasting plasma vitamin C levels as an indicator of vitamin C status, and subjective mood was determined using the Profile of Mood States (POMS) questionnaire. One hundred and thirty-nine male students aged 18 to 35 years were recruited from local tertiary institutes in Christchurch, New Zealand. The average plasma vitamin C concentration was 58.2 ± 18.6 (SD) µmol/L and the average total mood disturbance score was 25.5 ± 26.6 (possible score −32 to 200 measuring low to high mood disturbance, respectively). Plasma vitamin C concentration was inversely correlated with total mood disturbance as assessed by POMS (r = −0.181, p < 0.05). Examination of the individual POMS subscales also showed inverse associations of vitamin C status with depression, confusion, and anger. These findings suggest that high vitamin C status may be associated with improved overall mood in young adult males.

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