Association of stress, anxiety, and depression levels with sleep quality in patients with temporomandibular disorders

CRANIO® ◽  
2020 ◽  
pp. 1-9
Author(s):  
Ömer Ekici
Author(s):  
GALIT ALMOZNINO ◽  
AVRAHAM ZINI ◽  
ZAKUTO AVRAHAM ◽  
HULIO SLUTZKY ◽  
YAIR SHARAV ◽  
...  

2016 ◽  
Vol 8 (1) ◽  
pp. 83-92 ◽  
Author(s):  
Emre Selcuk ◽  
Sarah C. E. Stanton ◽  
Richard B. Slatcher ◽  
Anthony D. Ong

The present study investigated whether perceived partner responsiveness—the extent to which individuals feel cared for, understood, and validated by their partner—predicted subjective sleep problems and objective (actigraph-based) sleep efficiency through lower anxiety and depression symptoms. A life span sample of 698 married or cohabiting adults (35–86 years old) completed measures of perceived partner responsiveness and subjective sleep problems. A subset of the sample ( N = 219) completed a weeklong sleep study where actigraph-based measures of sleep efficiency were obtained. Perceived partner responsiveness predicted lower self-reported global sleep problems through lower anxiety and depression and greater actigraph-assessed sleep efficiency through lower anxiety. All indirect associations held after controlling for emotional support provision to the partner, agreeableness, and demographic and health covariates known to affect sleep quality. These findings are among the first to demonstrate how perceived partner responsiveness, a core aspect of romantic relationships, is linked to sleep behavior.


2021 ◽  
Author(s):  
Dandan Zhang ◽  
Jing Wang ◽  
Xixi Gu ◽  
Zhifeng Gu ◽  
Liren Li ◽  
...  

Abstract Purpose Sleep disturbance is common in meningioma patients and may lead to disease aggravation and decreases health-related quality of life (HRQoL). However, the sleep quality of meningioma patients newly diagnosed and ready for surgery has not been well clarified in China. This study aims to evaluate the prevalence, correlates, and impact of sleep disturbance among Chinese meningioma patients. Methods In this cross-sectional study, meningioma patients were recruited from the Affiliated Hospital of Nantong University from January 2020 to November 2020. A series of questionnaires were applied: the 0–10 Numerical Rating Scale (NRS), the Hospital Anxiety and Depression Scale (HADS), the Multidimensional Fatigue Inventory (MFI-20), the Epworth Sleepiness Scale (ESS), the Short-Form 36 (SF-36), the Pittsburgh Sleep Quality Index (PSQI). Independent samples t test, Mann-Whitney U test, chi-square analysis, Pearson/Spearman correlation, and binary logistic regression were used to analyze the data. Results 100 meningioma patients completed the questionnaires. Sleep disturbance affected 43% of the meningioma patients and was linked to many concomitant symptoms, such as headache, fatigue, anxiety and depression. Binary logistic regression indicated that fatigue and headache were predictors of sleep disturbance in meningioma patients. Meanwhile, severe sleep disturbance led to lower quality of life. Conclusions These findings demonstrated that a considerable number of meningioma patients newly diagnosed and ready for surgery suffered from sleep disturbance, potentially contributing to impair HRQoL. Medical personnel should pay more attention to meningioma patients with sleep disturbance and take effective measures to improve sleep quality, with the ultimate goal to improve their HRQoL.


SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A74-A74
Author(s):  
J Choynowski ◽  
M Pirner ◽  
C Mickelson ◽  
J Mantua ◽  
W J Sowden ◽  
...  

Abstract Introduction U.S. Army Reserve Officer Training Corps (ROTC) Cadets are college students training to be Army Officers. During a month-long capstone course (Advanced Camp), Cadets are rated on their leadership ability. Little work has been done to determine predictors of leadership ability at Advanced Camp. This study examined the effect of poor sleep and mood disorders -- two prevalent factors among college students -- on leadership ability. Methods Metrics on leadership, sleep quality, anxiety, and depression, were assessed in 159 ROTC Cadets (22.06±2.49 years; 23.90%female) at Days 1 (Baseline), 14 (Mid), and 29 (Post) of Advanced Camp. Leadership ratings were determined by ROTC Instructors over the course of Advanced Camp (1–5 score; higher score indicates poorer leadership). Predictors were the Pittsburgh Sleep Quality Index, Generalized Anxiety Disorder-7, and Patient Health Questionnaire-9. The relationships between the predictors and leadership scores were tested using linear regression. The interaction between mood disorders and sleep quality on leadership was tested using SPSS Process (Model 1). Results Poorer sleep quality at the Post time point (reflecting the prior 2 weeks of sleep) predicted poorer leadership (B=.05,p=.03), while sleep quality from Baseline (B=.03,p=.14) and Mid (B=.01,p=.67) did not. Higher anxiety and depression scores from all time points predicted poorer leadership (p-values<.03). There was an interaction: higher anxiety and high depression predicted poorer leadership only in the context of poor sleep quality (not good or average sleep quality) [anxiety: R2=.04,F(1,159)=6.04,p=.02; interaction: R2=.03,F(1,155)=5.30,p=.02]. Conclusion The current study identified a relationship between sleep quality and leadership ratings in ROTC cadets. This relationship was moderated by anxiety and depression. ROTC instructors should encourage ROTC Cadets to take advantage of sleep opportunities at Advanced Camp in order to maximize leadership potential. Support Support for this study came from the Military Operational Medicine Research Program (MOMRP) of the United States Army Medical Research and Development Command (USAMRDC). Disclaimer: The opinions and assertions contained herein are the private views of the authors and are not to be construed as official or as reflecting the views of the US Army or of the US


2020 ◽  
Vol 2020 ◽  
pp. 1-6
Author(s):  
Yajia Li ◽  
Danrong Jing ◽  
Yi Xiao ◽  
Xiaoyan Huang ◽  
Minxue Shen

Purpose. Previous studies confirmed that chronic arsenic exposure could lead to pigmentary changes and hyperkeratosis. However, skin health-related quality of life (HRQoL) among people under lifetime arsenic exposure remains underappreciated. Our study is aimed at investigating several patient-reported outcomes in a population under chronic arsenic exposure. Patients and Methods. A cross-sectional study was conducted in communities in Shimen, China. Dermatologists performed skin examinations for participants. Patient-reported outcomes (PROs) included HRQoL, itch, sleep quality, and symptoms of anxiety and depression. The Dermatology Life Quality Index (DLQI) was used to measure skin HRQoL. The numerical rating scale (NRS) was used to measure the intensity of itching. Sleep disturbance was measured by Pittsburgh Sleep Quality Index (PSQI). Anxiety and depression were measured by two-item Generalized Anxiety Disorder (GAD-2) and Patient Health Questionnaire (PHQ-2), respectively. Results. A total of 464 participants suffering from arsenic-related skin lesions finished the assessment of DLQI. Pigmentary changes and arsenical keratosis were not associated with the patient-reported outcomes except PHQ-2. Hair arsenic exceeding 1 μg/g was associated with higher itch NRS and DLQI (P<0.05). Itch NRS (adjusted β=0.80, 95% CI: 0.70–0.90, P<0.01) and hair arsenic concentration (adjusted β=0.12, 95% CI: 0.01–0.24, P<0.05) were independently associated with the DLQI. Conclusion. HRQoL, sleep quality, and mental wellbeing are impaired in residents under chronic arsenic exposure. Itching and hair arsenic are independent risk factors for impaired HRQoL.


Author(s):  
Patrícia V. S. M. Drabovicz ◽  
Veridiana Salles ◽  
Paulo E. M. Drabovicz ◽  
Maria J. F. Fontes

Author(s):  
Cristina Naranjo ◽  
María Dueñas ◽  
Carlos Barrera ◽  
Guillermo Moratalla ◽  
Inmaculada Failde

This study aims to compare the sleep characteristics (structure and quality) in patients with type-2 diabetes mellitus with and without diabetic neuropathic pain (DNP), and to investigate the relationship of sensory phenotypes, anxiety, and depression with sleep quality in DNP patients. A cross-sectional study was performed in patients with type-2 diabetes mellitus and neuropathy. Patients were classified into two groups—with or without neuropathic pain—according to the “Douleur Neuropathique-4 (DN4)” scale. Sleep characteristics and quality (Medical Outcomes Study—MOS-sleep), pain phenotype (Neuropathic Pain Symptom Inventory—NPSI), mood status (Hospital Anxiety and Depression scale—HADS), pain intensity (Visual Analogue Scale—VAS), and quality of life (SF-12v2) were measured. The sample included 130 patients (65 with DNP). The mean scores in all the dimensions of the MOS-sleep scale were higher (more disturbances) in the DNP patients. Higher scores in anxiety or depression, greater intensity of pain or a higher score in the paroxysmal pain phenotype were associated with lower sleep quality in DNP patients. A shorter duration of the diabetes and lower levels of glycated hemoglobin were also associated with lower sleep quality. The results show the relationship between DNP and sleep quality, and the importance of assessing sensory phenotypes and mental comorbidities in these patients. Taking these factors into consideration, to adopt a multimodal approach is necessary to achieve better clinical results.


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