With no treatment being yet available, improving objective sleep quality, especially slow‐wave sleep, could prove a viable target to slow‐down the process of cognitive decline and reduce the risk of neurodegenerative disorders such as LOAD.Ĭurrent approaches to quantify and diagnose sleep disorders and circadian rhythm disruption are imprecise, laborious, and often do not relate well to key clinical and health outcomes. We identified associations between PSG based sleep quality markers, but not subjective sleep quality, and brain atrophy related to ageing and LOAD. No associations with the PSQI score were found.
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Similar associations were found for the NAI sum score and the NAI delayed recollection sub‐score, but neither were significant after correcting for multiple testing. Furthermore, there was a non‐linear u‐shaped association between sleep duration and age‐related atrophy patterns. We have identified inverse associations of the percentage of TST spent in slow‐wave and REM sleep with brain atrophy related to ageing and LOAD, which was mainly driven by slow‐wave sleep, with both percentages of TST and duration showing significant inverse associations. We analysed the percentage of total sleep time (TST) spent in slow‐wave and rapid eye movement (REM) sleep, sleep duration, sleep efficiency and sleep latency as objective sleep quality measures and the Pittsburgh sleep quality index (PSQI) as subjective sleep quality measure. 2020) as well as cognitive performance in terms of the immediate and delayed wordlist recollection from the Nuremberg‐Age‐Inventory (NAI) with questionnaire and polysomnography (PSG) based measures of sleep quality in 717 subjects from the large‐scale population‐based Study of Health in Pomerania (SHIP‐Trend). We used ordinary least‐squared regression adjusted for age, gender, BMI, intracranial volume and APOE4‐status to investigate the associations of MRI‐based markers of brain ageing and LOAD‐related brain atrophy patterns (Frenzel et al. Recent studies have also highlighted a relationship between disturbed sleep and age‐related changes in brain structure. Poor sleep quality has been linked to impaired cerebral clearance of amyloid‐beta, neurofibrillary tangles and reduced cognitive function. Sleep is increasingly recognised as a major risk‐factor for cognitive ageing and neurodegenerative disorders such as late‐onset Alzheimer’s Disease (LOAD). As such, we suggest middle-aged men who snore and have a WHR ≥1.0 should be directly referred to a sleep clinic for polysomnography. Furthermore, 88 men with abnormal OXI underwent polysomnography with 91% being subsequently diagnosed with OSA.Ĭonclusions: In ambulatory, predominantly middle-aged men undergoing preventive services evaluation many physician indications for OXI were not predictors of abnormal results however, WHR strongly predicted abnormal OXI in obese and non-obese men. A strong association was observed between WHR and abnormal OXI in obese (BMI ≥ 30.0 kg/m ², OR = 6.28) and non-obese (BMI < 29.9 kg/m ², OR = 6.42, P < 0.01 for both) men.
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During multivariate analysis, the strongest independent predictor of abnormal OXI for men was WHR (≥1.0, OR = 5.59) followed by BMI (≥30.0 kg/m ², OR = 2.75), age (≥55 yrs, OR = 2.06), and the presence of snoring (OR = 1.91, P < 0.05 for all). Results: 295 of the 393 men who completed OXI had abnormal results.
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We compared participant/spouse-reported symptoms (sleepiness, snoring), physician indications for OXI (obesity, fatigue), Epworth Sleepiness Scale scores, anthropomorphic measurements (WHR, BMI), and comorbid medical conditions (hypertension, diabetes) with OXI results. Methods: We performed a retrospective cross-sectional study of 393 men seen in the Executive Health Program at Mayo Clinic in Rochester, Minnesota who underwent ambulatory overnight OXI ordered by preventive medicine physicians between Januthrough December 31, 2010. Obesity is closely associated with obstructive sleep apnea (OSA) however, whether body mass index (BMI) or waist-to-hip ratio (WHR) predicts abnormal overnight OXI remains unknown.
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Background: Ambulatory overnight oximetry (OXI) has emerged as a cost-effective initial test for sleep disordered breathing.