Obstructive sleep apnea syndrome (OSAS): Pathophysiology in Estonians

Veldi, Marlit; Ani, Raivo; Vaher, Helen; Eller, Triin; Hion, Tuuliki; Aluoja, Anu; Vasar, Veiko

doi:10.1016/j.pathophys.2010.01.001

Cited by 7 publications

(6 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Another limitation concerns the lack of some interacting factors of OSAS, while OSAS has been recognized as multifactorial sleep-disordered breathing. Some behaviors, including smoking, alcohol use, environmental parameters, and menopausal status are highly associated with OSAS (44,45). To understand in uence of background details, the questionnaire can be used to obtain personal habits.…”

Section: Accuracy Performance and Parameter Importancementioning

confidence: 99%

Risk Screening of Obstructive Sleep Apnea Syndrome by Body Profiles via Random Forests Model

Tsai

Lin

et al. 2020

Preprint

View full text Add to dashboard Cite

Background Obstructive Sleep Apnea Syndrome (OSAS) is a major global health concern and is typically diagnosed by in-lab polysomnography (PSG). This examination though has high medical manpower costs and alternative portable methods have further limitations. This paper develops a new model for screening the risk of OSAS in different age groups and gender by using body profiles. The effects of body profiles for different subgroups in sleep stage alteration and OSAS severity are also investigated. Methods The data is derived from 6614 Han-Taiwanese subjects who have previously undergone PSG in order to assess the severity of OSAS in the sleep center of Taipei Medical University Shuang-Ho Hospital between March 2015 and October 2019. Characteristics of subjects, including age, gender, body mass index (BMI), neck circumference, and waist circumference, were obtained from a questionnaire. Pearson regression was used to evaluate the correlations between body profiles and sleep stages as well as sleep disorder indexes. To develop an age and gender independent model, random forests (RF), which is an ensemble learning method with high explainability, were trained by the four groups by gender and age (older or younger than 50 years old) with ratios of 70% (training dataset) and 30% (testing dataset), respectively. Prediction performance was evaluated by sensitivity, specificity and accuracy. Variable importance was assessed by averaging the impurity decrease to account for the effect of different factors. Results Results indicate that high BMI, neck circumference and waist circumference decreased the duration of slow-wave sleep and increased the sleep disorder indices and the percentage of wake and N1. Additionally, screening models for different gender and age utilizing anthropometric features as predictors via RF were established and demonstrated to have high accuracy (75.63% for younger males, 74.72% for elder males, 78.81% for younger females, and 72.10% for elder females). Feature importance indicated that waist circumference was the highest contributing factor in females and elder males, whereas the BMI was the highest contribution in younger males. Conclusions The authors recommend the use of the prediction models for those with Han-Taiwanese craniofacial features.

show abstract

Section: Accuracy Performance and Parameter Importancementioning

confidence: 99%

Risk Screening of Obstructive Sleep Apnea Syndrome by Body Profiles via Random Forests Model

Tsai

Lin

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…An equal decrease in both tonic and phasic contraction of the dilating muscles of the upper airways during sleep has also been observed in OSAS patients, compared to healthy controls. Recurrent upper‐airway diseases, nasal obstruction, and hypertrophy of tonsils are thought to contribute to OSAS 40 . A variety of defective respiratory control mechanisms, including impaired chemical drive, defective inspiratory load responses, and abnormal upper airway protective reflexes, also play a role.…”

Section: Obstructive Sleep Apnea (Osas)mentioning

confidence: 99%

“…Several classic neurotransmitters and a growing list of neuromodulators have now been identified that contribute to neurochemical regulation of pharyngeal motor neuron activity and airway patency 41 . Several risk factors have been recognized, among which the most important are obesity, male sex, middle age (40‐60 years), cigarette smoking, alcohol intake, and benzodiazepines before bedtime 40‐42 …”

Section: Obstructive Sleep Apnea (Osas)mentioning

confidence: 99%

Sleep and Headache: The Clinical Relationship

Mitsikostas

Papadopoulos

2010

Headache

View full text Add to dashboard Cite

Abbreviations: AHI apnea-hypopnea index, BMI body mass index, CH cluster headache, CPAP continuous positive airway pressure, ICHD International Classification of Headache Disorders, ICSD International Classification of Sleep Disorders, EHS exploding head syndrome, HH hypnic headache, MOH medication overuse headache, MRI magnetic resonance imaging, TMD temporomandibular disorder, OSAS obstructive sleep apnea syndrome, PH paroxysmal hemicrania, REM rapid eye movement, RLS restless legs syndrome, SRBD sleep-related breathing disorders, SB sleep-related bruxism, TTH tension-type headache

show abstract

“…Children's physical development is greatly influenced by their living conditions. Obstructive sleep apnoea [56] is strongly related to obesity; thus, it is more and more often seen in children [27] with overweight. Approximately 40% of toddlers have pulsating, sore lower limb pain from the age of 2-3 years, but mainly from the age of 4-6 years [23] and up to 12-14 years [41,47].…”

Section: Introductionmentioning

confidence: 99%

Somnological findings based on the Körmend Growth Study (2008) data (Hungary)

Buda¹,

Marksz

Tóth³

2020

PoA

View full text Add to dashboard Cite

In 1958, a series of tests repeated every ten years, which is unique worldwide, was launched in Körmend, with the primary goal of assessing more than 20 different body size characteristics, constitution, and development of healthy children aged 3–18. The secular trend phenomenon was proved for the first time in Hungary in this study. A clear correlation between physiological sleeping and sleeping disorders compared to changes in body composition has been shown, which led to the inclusion of a sleep questionnaire study in 2008. The present study aims to analyze a part of the sleep questionnaires received in 2008. The aim of this study was to investigate the presence and frequency of growth pain, restless leg syndrome (RLS) and anaemia, and the associations between these parameters. According to the results, the incidence of growth pains was found to be higher than in international data. In many aspects this difference was confirmed by the present study, however, there were also contradictory, significantly detectable differences, the causes of which require further investigation. Due to the limitations of the questionnaire, many errors may occur. Other studies have shown strong genetic determinations for RLS; however, our results do not seem to confirm this. This may be due to the high latency of RLS and the inaccurate filling of the questionnaires as well. The results of our study showed that, in iron-deficient children, the incidence of RLS is an order of magnitude higher than in the general population.

show abstract

Obstructive sleep apnea syndrome (OSAS): Pathophysiology in Estonians

Cited by 7 publications

References 17 publications

Risk Screening of Obstructive Sleep Apnea Syndrome by Body Profiles via Random Forests Model

Risk Screening of Obstructive Sleep Apnea Syndrome by Body Profiles via Random Forests Model

Sleep and Headache: The Clinical Relationship

Somnological findings based on the Körmend Growth Study (2008) data (Hungary)

Contact Info

Product

Resources

About