Obstructive sleep apnea syndrome (OSAS) is a disorder characterized by repetitive collapse of the pharyngeal airway during sleep, which leads to oxygen desaturation, sleep fragmentation and daytime somnolence. Obesity is one of the most important risk factor for the development of OSAS. The exact mechanisms responsible for the relationship between obesity and OSAS are still unclear. The fat deposits in the pharynx region as well as the reduction in the lung volume have been considered as factors that might be responsible for the increase of the upper airway collapsibility. The aim of our study was to evaluate the correlation between the Body Mass Index (BMI) and sleep study parameters in overweight and obese patients suffering from breathing disturbances during sleep. We studied a group of 106 consecutive obese or overweight patients with a primary complaint of snoring or other breathing disturbances during sleep. In all cases, BMI and sleep studies (PolyMESAM) were examined. We evaluated relationship between the BMI and sleep study parameters such as Respiratory Disturbance Index (RDI), Apnea Index (AI), Desaturation Index (DI) and Average of Lowest Saturation (LSAT). The results showed the lack of significant statistical correlations between BMI and all the sleep parameters studied in the overweight patients and the statistical positive correlation between the BMI and RDI in the obese cases. We conclude that BMI determination may be considered as a simple, yet important predictor, of the OSAS in the group of obese patients.
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J Med Internet Res
January 2025
International Institute for Integrative Sleep Medicine (WPI-IIIS), University of Tsukuba, Tsukuba, Ibaraki, Japan.
Background: Few studies have explored the relationship between macronutrient intake and sleep outcomes using daily data from mobile apps.
Objective: This cross-sectional study aimed to examine the associations between macronutrients, dietary components, and sleep parameters, considering their interdependencies.
Methods: We analyzed data from 4825 users of the Pokémon Sleep and Asken smartphone apps, each used for at least 7 days to record objective sleep parameters and dietary components, respectively.
BMC Public Health
January 2025
Early Start, Faculty of the Arts, Social Sciences and Humanities, University of Wollongong, Wollongong, NSW, 2522, Australia.
Introduction: The relationship between 24-h movement behaviours (i.e. sleep, sedentary behaviour and physical activity) and adiposity in preschoolers remains unclear.
View Article and Find Full Text PDFMol Psychiatry
January 2025
Department of Psychiatry, Rutgers Robert Wood Johnson Medical School, Piscataway, NJ, 08854, USA.
The hypothalamic neuropeptide system of orexin (hypocretin) neurons provides projections throughout the neuraxis and has been linked to sleep regulation, feeding and motivation for salient rewards including drugs of abuse. However, relatively little has been done to examine genes associated with orexin signaling and specific behavioral phenotypes in humans. Here, we tested for association of twenty-seven genes involved in orexin signaling with behavioral phenotypes in humans.
View Article and Find Full Text PDFDiabetol Int
January 2025
Center of Diabetes, Endocrinology and Metabolism, Toho University Sakura Medical Center, Sakura, Chiba Japan.
Aim: To investigate the effect of weight loss and metabolic improvement after laparoscopic sleeve gastrectomy (LSG) in older adults aged 65 years or over compared with younger adults in a retrospective analysis.
Methods: The J-SMART study database of 322 Japanese individuals with body mass index (BMI) ≥32 kg/m who underwent LSG between 2011 and 2014 at 10 centers accredited by the Japanese Society for Treatment of Obesity were analyzed. The subjects were classified into two groups: ≥65 age group (range, 65-76 years; n = 25) and <65 age group (range, 22-64 years; n = 297).
Eur J Orthod
December 2024
Professor, Department of Orthodontics, School of Dentistry, Kyung Hee University, Seoul 02453, Republic of Korea.
Objectives: We aimed to characterize a craniofacial skeletal phenotype (CSP) of adult obstructive sleep apnea (OSA) patients from a multidimensional perspective, exploring the impact of transverse skeletal discrepancy (TSD) on multivariable polysomnographic profiles.
Materials And Methods: This retrospective, cross-sectional study included 102 adult OSA patients. Sagittal, vertical, and transverse skeletal patterns were categorized on the cone beam computed tomography images.
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