Sleep Quality Features Research Articles

Influence of psychometric and sleep quality features on painful mechanical sensitivity and pain modulation in patients with temporomandibular disorders.

Assessing whether combined psychometric properties and sleep quality impact painful mechanical sensitivity and pain modulation in TMD patients. A cross-sectional study using secondary data analysis of 77 TMD patients and 101 controls. All participants completed questionnaires characterizing their psychometric profile (anxiety, depression, stress and catastrophizing) and sleep quality, alongside psychophysical tests for painful mechanical sensory (mechanical pain threshold (MPT), pressure pain threshold (PPT), and wind-up ratio (WUR)) and conditioned pain modulation (CPM). Participants were grouped into "High distress" or "Low distress" categories based on psychometric properties and sleep quality using hierarchical cluster and k-means analyses. Multiple linear regression evaluated the influence of TMD, age, and the distress cluster on MPT, WUR, PPT, and CPM in masseter and thenar muscles. Differences were statistically significant when p < 0.05. The presence of TMD was the strongest predictor of mechanical painful sensitivity in the trigeminal region (MPT[F(3,174) = 51.902;p < .001;R2 = .463]; TMD presence (β = -.682) / PPT[F(3,174) = 15.573;p < .001;R2 = .198] TMD presence (β = -.452), and extra-trigeminal (MPT[F(3,174) = 35.897;p < .001;R2 = .382] TMD (β = -.647) / CPM [F(3,174) = 4.106;p < .05;R2 = .050] TMD presence (β = .197). Furthermore, neither the high distress group nor the low distress group were able to significantly influence the variation of the values of any of the psychophysical variables evaluated (p > .05). There is not a significant influence of impairment clusters based on psychological variables and sleep quality on painful mechanical sensitivity and pain modulation, regardless of the presence of TMD. This outcome suggests that psychosocial factors and sleep quality may not play a decisive role in the sensory-discriminative aspect of pain, particularly concerning painful TMD.

Sleep quality features and their association with mood symptoms and cognitive factors in a non-clinical sample of older Brazilian adults.

There is strong interest in sleep disorders in the elderly, but there are gaps in identifying how multiple factors affect sleep quality in this population. We aimed to assess sleep quality and its relationship to mood, general cognition, and sociodemographic factors in a sample of cognitively active older adults. We assessed 105 non-clinical older adults (mean age ± SD: 69.64 ± 0.66 years) based on a sociodemographic profile questionnaire, the Beck Anxiety Inventory, the Beck Depression Inventory II, the Montreal Cognitive Assessment, the Pittsburgh Sleep Quality Index, and the Epworth Sleepiness Scale. Separate analyses were conducted, controlled by sleep quality and daytime sleepiness, to understand how variables were associated. About 46.7% of individuals had significantly poor sleep quality. Univariate analysis showed that non-workers had a lower risk of impaired sleep quality (prevalence ratio (PR) = 0.67; P = 0.044). However, there was an increased risk of poor sleep quality in those experiencing depressive symptoms (PR = 1.78; P < 0.001) and anxiety symptoms (PR = 1.98; P < 0.001). In multivariate analysis, the language component of the Montreal Cognitive Assessment (PR = 0.80; P = 0.011) was associated with a lower risk of poor sleep quality, and anxiety symptoms (PR = 1.99; P < 0.001) remained significantly associated with a higher risk of poor sleep quality. No significant difference was observed in variables related to daytime sleepiness. We found that overall quality of sleep potentially relates to mood, cognition, and sociodemographic factors. Further studies using multifactorial approaches to sleep investigation are required.