Objective: To investigate the relationship between obesity and sleep architecture in postmenopausal women.
Methods: One hundred seven postmenopausal women from the Ambulatory of Integrative Treatment for Female Sleep Disorders were invited by telephone to participate in this study. Fifty-three completed the study. We included women aged 50 to 70 years, and excluded women on hormone therapy or missing data. The study consisted of two meetings, including a full-night polysomnography. Menopause status was confirmed by amenorrhea for at least 1 year. Anthropometric measurements included: body mass, height, body mass index (BMI), waist circumference, hip circumference, waist-to-hip ratio (WHR), and neck circumference. Participants were allocated into two groups according to BMI: nonobese group (BMI <30 kg/m) and obese group (BMI ≥30 kg/m).
Results: The obese group had significantly (P < 0.01) increased values of BMI, neck circumference, waist circumference, and hip circumference. WHR was similar between the groups (P = 0.77). Obese participants had significantly increased values of respiratory disturbance index (16.4 vs 9.3 n°/h) and apnea-hypopnea index (14.2 vs 5.6 n°/h). Rapid eye movement sleep latency was positively correlated to body mass (r = P < 0.01), BMI (P < 0.01), and hip circumference (P = 0.01). WHR was negatively correlated to sleep efficiency (P = 0.03). The linear regression model showed that BMI (P < 0.01) and WHR (P < 0.01) were positive predictors of rapid eye movement sleep latency.
Conclusion: In postmenopausal women, high BMI and abdominal obesity are sources of sleep disturbances, decreasing deep sleep, and sleep efficiency, while increasing the risk of obstructive sleep apnea.
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http://dx.doi.org/10.1097/GME.0000000000000962 | DOI Listing |
J Cachexia Sarcopenia Muscle
February 2025
Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan.
Background: Chest computed tomography (CT) is a valuable tool for diagnosing and predicting the severity of coronavirus disease 2019 (COVID-19) and assessing extrapulmonary organs. Reduced muscle mass and visceral fat accumulation are important features of a body composition phenotype in which obesity and muscle loss coexist, but their relationship with COVID-19 outcomes remains unclear. In this study, we aimed to investigate the association between the erector spinae muscle (ESM) to epicardial adipose tissue (EAT) ratio (ESM/EAT) on chest CT and disease severity in patients with COVID-19.
View Article and Find Full Text PDFAm J Physiol Lung Cell Mol Physiol
January 2025
Johns Hopkins University, Division of Pulmonary and Critical Care Medicine, Baltimore, MD, USA.
Obesity is a risk factor for asthma morbidity, associated with less responsiveness to inhaled corticosteroids. CD4+ T-cells are central to the immunology of asthma and may contribute to the unique obese asthma phenotype. We sought to characterize the single cell CD4+ Transcriptional profile differences in obese children with asthma compared to normal weight children with asthma.
View Article and Find Full Text PDFWorld J Cardiol
January 2025
Department of Internal Medicine-II, Paracelsus Medical University Salzburg, Salzburg 5020, Austria.
The recurrence of atrial fibrillation (AF) in patients after successful radiofrequency catheter ablation (RFCA) appears to be an unresolved clinical issue and needs to be clearly elucidated. There are many factors associated with AF recurrence, such as duration of AF, male sex, concomitant heart failure, hemodynamic parameters, chronic obstructive pulmonary disease, hypertension, obstructive sleep apnea, hyperthyroidism, smoking and obesity. However, the inflammatory changes are strongly associated with electrical and structural cardiac remodeling, cardiac damage, myocardial fibrotic changes, microvascular dysfunction and altered reparative response.
View Article and Find Full Text PDFBackground: The American Heart Association (AHA), in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, nutrition, sleep, and obesity) and health factors (cholesterol, blood pressure, glucose control, and metabolic syndrome) that contribute to cardiovascular health. The AHA Heart Disease and Stroke Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, brain health, complications of pregnancy, kidney disease, congenital heart disease, rhythm disorders, sudden cardiac arrest, subclinical atherosclerosis, coronary heart disease, cardiomyopathy, heart failure, valvular disease, venous thromboembolism, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs).
Methods: The AHA, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States and globally to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing.
Brain Inj
January 2025
Department of Physical Medicine & Rehabilitation, O'Donnell Brain Institute, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Objective: To examine the relationship between body mass index (BMI), newly developed sleep disorders and functional outcome after moderate-to-severe traumatic brain injury (msTBI).
Methods: Retrospective data from the TBI Model Systems National Database was analyzed, focusing on the independent association between BMI, sleep disorder diagnosis, and functional outcome as measured by the Extended Glasgow Outcome Scale (GOSE) at 1-year post-injury. Linear and logistic regression were used.
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