scholarly journals Association between Loss of Sleep-specific Waves and Age, Sleep Efficiency, Body Mass Index, and Apnea-Hypopnea Index in Human N3 Sleep

2020 ◽  
Vol 11 (1) ◽  
pp. 73
Author(s):  
Weiguang Li ◽  
Ying Duan ◽  
Jiaqing Yan ◽  
He Gao ◽  
Xiaoli Li
2019 ◽  
Vol 35 (4) ◽  
pp. 713-724
Author(s):  
Theresa Casey ◽  
Hui Sun ◽  
Helen J. Burgess ◽  
Jennifer Crodian ◽  
Shelley Dowden ◽  
...  

Background: Metabolic and hormonal disturbances are associated with sleep disturbances and delayed onset of lactogenesis II. Research aims: The aim of this study was to measure sleep using wrist actigraphy during gestation weeks 22 and 32 to determine if sleep characteristics were associated with blood glucose, body mass index, gestational related disease, delayed onset of lactogenesis II, or work schedule. Methods: Demographic data were collected at study intake from primiparous women who wore a wrist actigraph during gestation weeks 22 ( n = 50) and 32 ( n = 44). Start and end sleep time, total nighttime sleep, sleep efficiency, wake after sleep onset, and sleep fragmentation were measured. Night to night variability was assessed with the root mean square of successive difference. Blood glucose levels, body mass index, and gestational disease data were abstracted from medical charts. Timing of lactogenesis II was determined by survey. Results: Between gestation week 22 and 32, sleep efficiency decreased and fragmentation increased ( p < .05). During gestation week 32, blood glucose was negatively correlated with sleep duration, and positively related to fragmentation ( p < .05). Women who experienced delayed lactogenesis II had lower sleep efficiency and greater fragmentation ( p < .05), and greater night-to-night variability in sleep start and end time, efficiency, and duration during gestation week 32 ( p < .05). Conclusion: Women with better sleep efficiency and more stable nightly sleep time are less likely to experience delayed onset of lactogenesis II. Interventions to improve sleep may improve maternal health and breastfeeding adequacy.


CHEST Journal ◽  
2007 ◽  
Vol 132 (4) ◽  
pp. 644C
Author(s):  
Basel Al Haddad ◽  
Ali El Atat ◽  
Mohammad-Ali A. El-Harakeh ◽  
Jean-Louis Giaridin ◽  
John Kassostis ◽  
...  

2016 ◽  
Vol 2016 ◽  
pp. 1-7 ◽  
Author(s):  
Macario Camacho ◽  
Soroush Zaghi ◽  
Daniel Tran ◽  
Sungjin A. Song ◽  
Edward T. Chang ◽  
...  

Objective. To evaluate the effect of turbinate sizes on the titrated continuous positive airway pressure (CPAP) therapeutic treatment pressures for patients with obstructive sleep apnea (OSA) who have not had nasal surgery.Study Design. Retrospective case series.Methods. A chart review was performed for 250 consecutive patients.Results. 45 patients met inclusion criteria. The mean ± standard deviation (M ± SD) for age was54.6±22.4years and for body mass index was28.5±5.9 kg/m2. The Spearman’s rank correlation coefficient (rs) between CPAP therapeutic treatment pressures and several variables were calculated and were weakly correlated (agers=0.29, nasal obstructionrs=-0.30), moderately correlated (body mass indexrs=0.42and lowest oxygen saturationrs=-0.47), or strongly correlated (apnea-hypopnea indexrs=0.60and oxygen desaturation index (rs=0.62)). No statistical significance was found with one-way analysis of variance (ANOVA) between CPAP therapeutic treatment pressures and inferior turbinate size (right turbinatespvalue = 0.2012, left turbinatepvalue = 0.3064), nasal septal deviation (pvalue = 0.4979), or mask type (pvalue = 0.5136).Conclusion. In this study, CPAP titration based therapeutic treatment pressures were not found to be associated with inferior turbinate sizes; however, the CPAP therapeutic treatment pressures were strongly correlated with apnea-hypopnea index and oxygen desaturation index.


2007 ◽  
Vol 137 (1) ◽  
pp. 110-114 ◽  
Author(s):  
Kenny P. Pang ◽  
B. Tucker Woodson

OBJECTIVE: In this study, we assessed the efficacy of a new method (expansion sphincter pharyngoplasty [ESP]) to treat obstructive sleep apnea. STUDY DESIGN: We conducted a prospective, randomized controlled trial. METHODS: Forty-five adults with small tonsils, body mass index less than 30 kg/m 2 , of Friedman stage II or III, of type I Fujita, and with lateral pharyngeal wall collapse were selected for the study. RESULTS: The mean body mass index was 28.7 kg/m 2 . The apnea-hypopnea index improved from 44.2 ± 10.2 to 12.0 ± 6.6 ( P < 0.005) following ESP and from 38.1 ± 6.46 to 19.6 ± 7.9 in the uvulopalatopharyngoplasty group ( P < 0.005). Lowest oxygen saturation improved from 78.4 ± 8.52% to 85.2 ± 5.1% in the ESP group ( P = 0.003) and from 75.1 ± 5.9% to 86.6 ± 2.2% in the uvulopalatopharyngoplasty group ( P < 0.005). Selecting a threshold of a 50% reduction in apnea-hypopnea index and apnea-hypopnea index less than 20, success was 82.6% in ESP compared with 68.1% in uvulopalatopharyngoplasty ( P < 0.05). CONCLUSION/SIGNIFICANCE: The ESP may offer benefits in a selected group of OSA patients.


2015 ◽  
Vol 30 (1) ◽  
pp. 89-93 ◽  
Author(s):  
C. Boudebesse ◽  
P.-A. Geoffroy ◽  
C. Henry ◽  
A. Germain ◽  
J. Scott ◽  
...  

AbstractStudy objectives:Obesity and excess bodyweight are highly prevalent in individuals with bipolar disorders (BD) and are associated with adverse consequences. Multiple factors may explain increased bodyweight in BD including side effects of psychotropic medications, and reduced physical activity. Research in the general population demonstrates that sleep disturbances may also contribute to metabolic burden. We present a cross-sectional study of the associations between body mass index (BMI) and sleep parameters in patients with BD as compared with healthy controls (HC).Methods:Twenty-six French outpatients with remitted BD and 29 HC with a similar BMI completed a 21-day study of sleep parameters using objective (actigraphy) and subjective (PSQI: Pittsburgh Sleep Quality Index) assessments.Results:In BD cases, but not in HC, higher BMI was significantly correlated with lower sleep efficiency (P = 0.009) and with several other sleep parameters: shorter total sleep time (P = 0.01), longer sleep onset latency (P = 0.05), higher fragmentation index (P = 0.008), higher inter-day variability (P = 0.05) and higher PSQI total score (P = 0.004).Conclusions:The findings suggest a link between a high BMI and several sleep disturbances in BD, including lower sleep efficiency. Physiological mechanisms in BD cases may include an exaggeration of phenomena observed in non-clinical populations. However, larger scale studies are required to clarify the links between metabolic and sleep-wake cycle disturbances in BD.


2021 ◽  
Vol 15 (1) ◽  
Author(s):  
Seda Beyhan Sagmen ◽  
Sevda Cömert

Abstract Background Obstructive sleep apnea is a condition characterized by the complete or partial obstruction of the upper airway during sleep. This study aimed to compare the clinical and polysomnographic characteristics of our obstructive sleep apnea patients according to their positional and non-positional features. Results Two hundred eighty patients were included in the study. One hundred two patients (36.43%) were female, while 178 patients (63.57%) were male. While 88 (31.43%) of these patients were defined as positional patients, 192 (68.57%) were defined as non-positional patients. The mean age of the positional patients (46.78 ± 9.66) was lower than the mean age of the non-positional patients (50.90 ± 10.96) (p 0.001). Similarly, the mean body mass index of the positional patients (29.39 ± 3.80) was lower than the mean body mass index of the non-positional patients (33.30 ± 6.45) (p < 0.001). Neck circumference values of the positional patients (40.36 ± 2.65) were lower compared to the non-positional patients (43.32 ± 2.54) (p < 0.001). Sleep values were compared based on the presence of positional sleep apnea. In the positional patients, sleep duration, sleep efficiency (percentage), duration of stage N3, minimum, and mean saturation values were found to be higher compared to the non-positional patients, while nightlong apnea hypopnea index, apnea index, percentage of sleep time with oxygen saturation below 90%, oxygen desaturation index, mean heart rate, and periodic limb movement index values were found to be lower (p < 0.05). The rate of severe sleep apnea (7.95%) in the positional patients was lower than the non-positional patients (53.65%) (p < 0.001). Conclusion In the light of these data, positional OSA is a very important condition presented in 31.43% of OSA patients and it was determined that these patients were younger, had less body mass index, and shorter neck circumference. The rate of severe disease was found to be lower in positional OSA patients


2005 ◽  
Vol 99 (4) ◽  
pp. 1592-1599 ◽  
Author(s):  
Terry Young ◽  
Paul E. Peppard ◽  
Shahrad Taheri

Excess weight is a well-established predictor of sleep-disordered breathing (SDB). Clinical observations and population studies throughout the United States, Europe, Asia, and Australia have consistently shown a graded increase in the prevalence of SDB as body mass index, neck girth, or other measures of body habitus increases. Clinical studies of weight loss and longitudinal population studies provide strong support for a causal association. The role of excess body weight, a modifiable risk factor, with SDB raises many questions relevant to clinical practice and public health. The topic takes on added importance with the alarming rate of weight gain in children as well as adults in industrialized nations. Among adults ages 30–69 yr, averaging over the estimated United States 2003 age, sex, and BMI distributions, we estimate that ∼17% of adults have mild or worse SDB (apnea-hypopnea index ≥ 5) and that 41% of those adults have SDB “attributable” to having a body mass index of ≥25 kg/m2. Similarly, we estimate that ∼5.7% of adults have moderate or worse SDB (apnea-hypopnea index ≥ 15) and that 58% of those adults have SDB attributable to excess weight. Clearly, if the expanding epidemic of obesity seen in the United States continues, the prevalence of SDB will almost certainly increase, along with the proportion of SDB attributable to obesity.


2020 ◽  
Vol 16 (1) ◽  
pp. 34-38
Author(s):  
Nathir Obeidat ◽  
Saif Aldeen AlRyalat ◽  
Khaled Al Oweidat ◽  
Mahmoud Abu-Khalaf ◽  
Asma Btoush ◽  
...  

Background: Obstructive sleep apnea is a common disorder involving, intermittent mechanical obstruction of the upper airway during sleep. Obesity is the most powerful risk factor for obstructive sleep apnea. Objective: This study aimed to investigate the long-term effect of Roux-en-Y gastric bypass bariatric surgery on patients with obstructive sleep apnea. Methods: This study included patients were referred for bariatric surgery (Roux-en-Y gastric bypass) to control symptoms and complications of obesity during a 5-year period. An overnight sleep study was performed for each patient before and after the bariatric surgery, to study its effect on different obstructive sleep apnea-related variables. Results: This study included 179 patients (mean age 35.9 ± 10.7 years). The mean duration from preoperative assessment to postoperative assessment was 2.4 ± 2.2 years. The mean change in body mass index and weight showed a decrease of 16.0 ± 16.0 kg/m2 and48.7 ± 25.9 kg, respectively. The apnea hypopnea index decreased by a mean of 22.6 ± 26.3 events/hour. Conclusion: We concluded that a decrease in the body mass index by 1 kg/m2 could predict a decrease in the apnea hypopnea index by 0.46 events/hour. Moreover, after mean follow-up duration of 2.4 years, 84.3% of mild and 83.3% of moderate obstructive sleep apnea patients became normal postoperatively.


2020 ◽  
pp. 089011712096906
Author(s):  
June J. Pilcher ◽  
Dylan N. Erikson ◽  
Carolyn A. Yochum

Purpose: To examine how sleep and physical activity predict body mass index (BMI) in college students. Design: Cross-sectional. Setting: Medium-sized public university in the Southeastern United States. Subjects: 386 undergraduate students (245 females; 18-25 years). Measures: Surveys included the Pittsburg Sleep Quality Index (PSQI) and Concise Physical Activity Questionnaire (CPAQ). PSQI provided 5 sleep scores: PSQI Global Score, Sleep Quality Factor Score, Sleep Efficiency Factor Score, Sleep Duration, and Habitual Sleep Efficiency. Height and weight measurements were taken to calculate Body Mass Index (BMI). Analysis: Correlational analyses were completed first. Linear and moderation regression models using CPAQ as the moderator were used to predict BMI. The Johnson-Neyman technique determined regions of significance where sleep significantly predicted BMI dependent on CPAQ score. Results: Sleep Duration significantly predicted BMI ( β = -.385, p = .043) while significant interaction terms predicting BMI were found for Global PSQI ScoreXCPAQ ( β = -.103, p = .015) and Sleep Quality Factor ScoreXCPAQ ( β = -.233, p = .013). Johnson-Neyman analyses demonstrated that better sleep quality (measured by Global PSQI and Sleep Quality Factor Scores) predict lower BMI when exercise levels are low and higher BMI when exercise levels are high. Conclusion: At low levels of exercise, better sleep quality significantly predicts lower BMI, suggesting that interventions designed to increase sleep quality could promote healthy weight maintenance in college students.


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