Severity and Its Contributing Factors in Patients With Vestibular Migraine: A Cohort Study

Objective: As a recently defined disease entity, vestibular migraine (VM) is a variant of migraine with broad spectrum of manifestations. We evaluated a prospective cohort of patients with VM in two centers to assess severity of VM attacks and investigate its contributing factors in patients with VM.Methods: Adult participants with the diagnosis of VM or probable VM were enrolled according to the 2012 International Headache Society-Bárány Society Criteria. Every outpatient was followed up for 6 months to record the occurrence of VM attacks. Clinical data such as age, sex, number of VM attacks, severity on the visual analog scale, and lipid intake were collected and analyzed. Generalized Anxiety Disorder-7, Patient Health Questionnaire-9, Horne and Ostberg Morningness-Eveningness Questionnaires, and Pittsburgh Sleep Quality Index were also administered to find contributing factors.Results: During a 6-month clinical follow-up, 313 VM attack were reported. According to the Visual Analog Scale, the patients were divided into two groups. Then univariate and multivariable analyses were conducted. Among the risk factors, duration of illness (adjusted OR, 1.041; 95% CI, 1.010–1.073; P = 0.009), time of onset: 00:00:00–12:00:00 (adjusted OR, 3.961; 95% CI, 1.966–7.979; P < 0.001) and PSQI scores (adjusted OR, 1.086; 95% CI, 1.002–1.178; P = 0.046) were significantly associated with the severity of VM attack assessed by VAS.Conclusion: The data suggest that patients tended to experienced more severe VM attacks in early hours of a day, especially for those sufferers with longer duration of illness or poor sleep quality. Targeted management of such factors is required to reduce the severity of attacks.

Download Full-text

Acne Severity and Sleep Quality in Adults

Clocks & Sleep ◽

10.3390/clockssleep1040039 ◽

2019 ◽

Vol 1 (4) ◽

pp. 510-516 ◽

Cited By ~ 1

Author(s):

Kory P. Schrom ◽

Sayeeda Ahsanuddin ◽

Michelle Baechtold ◽

Raghav Tripathi ◽

Amy Ramser ◽

...

Keyword(s):

Sleep Quality ◽

Quality Index ◽

Life Quality ◽

Poor Sleep ◽

Poor Sleep Quality ◽

Increased Risk ◽

Patient Health ◽

The Usa ◽

Grading Scale ◽

Psychiatric Conditions

Poor sleep quality is extremely prevalent, with about one third of adults in the USA obtaining less than the recommended amount of sleep. In addition, poor sleep quality has been linked to an increased risk of many conditions, including diabetes, hypertension, psychiatric conditions, and overall all-cause mortality. Research has shown that sleep disturbance does impact skin disease, although many details of this relationship are still unclear. The goal of this study is to determine if there is a relationship between acne severity and sleep quality in adults. Forty subjects with acne were recruited from dermatology clinics in Cleveland, OH, to participate in this study. Acne severity was assessed using the Global Acne Grading Scale (GAGS). To assess sleep quality, subjects completed the Pittsburgh Sleep Quality Index (PSQI) and completed a seven-day sleep journal. Subjects also completed the Dermatology Life Quality Index (DLQI), the Patient Health Questionnaire-2 (PHQ-2), and provided information about current and past acne treatments as well as their opinion regarding their own acne severity and exacerbating factors. Our findings support the hypothesis that there is a potential relationship between sleep quality and acne.

Download Full-text

FREQUENCY AND CORRELATES OF POOR SLEEP QUALITY AMONG PATIENTS OF PARKINSON’S DISEASE

Pakistan Armed Forces Medical Journal ◽

10.51253/pafmj.v70i6.3866 ◽

2020 ◽

Vol 70 (6) ◽

pp. 1640-44

Author(s):

Syed Sakhawat Kazmi ◽

Zahid Hassan ◽

Waseem Alamgir ◽

Asif Hashmat ◽

Muhammad Ali Yousaf ◽

...

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Sleep Quality ◽

Quality Index ◽

Pittsburgh Sleep Quality Index ◽

Military Hospital ◽

Poor Sleep ◽

Motor Disorder ◽

Poor Sleep Quality ◽

Duration Of Illness

Objective: To determine the frequency of poor sleep quality among the patients of Parkinson’s disease (PD) and analyze its relationship with the socio-demographic factors.Study Design: Correlational study. Place and Duration of Study: Pak Emirates Military Hospital Rawalpindi, from Jan 2019 to Jun 2019. Methodology: One hundred and fifty patients of Parkinson’s disease were approached to participate in this study. Pittsburgh sleep quality index (PSQI) was the psychometric tool used to assess the study parameter for the patients. Age, gender, duration of illness, poly pharmacy and tobacco smoking were corelated with presence of poor quality of sleep among the patients of Parkinson’s disease. Results: Out of 150 patients of Parkinson’s disease screened through Pittsburgh sleep quality index, 85 (56.7%)showed the presence of poor sleep quality while 65 (43.3%) had good sleep quality. Mean age of the patients was 66.2 ± 4.648 years. After applying the logistic regression, we found that increasing age and longer duration of illness had significant association with the presence of poor sleep quality among the patients of Parkinson disease. Conclusion: Previously considered a pure motor disorder, Parkinsonism has a lot of other neuro-psychiatricmanifestations as well. Poor sleep quality turned out to be one of these non-motor problems associated with this chronic debilitating illness. Increasing age and longer duration of illness among these patients emerged asindependent risk factors for poor sleep quality in Parkinsonism.

Download Full-text

Expanding the screening toolbox to promote athlete health: how the US Olympic & Paralympic Committee screened for health problems in 940 elite athletes

British Journal of Sports Medicine ◽

10.1136/bjsports-2020-102756 ◽

2020 ◽

pp. bjsports-2020-102756

Author(s):

Dustin Nabhan ◽

Melie Lewis ◽

David Taylor ◽

Roald Bahr

Keyword(s):

Mental Health ◽

Sleep Quality ◽

Sleep Apnoea ◽

Screening Tools ◽

Poor Sleep ◽

Poor Sleep Quality ◽

Positive Screen ◽

Health History ◽

Patient Health ◽

Anxiety Depression

AimTo assess the value of including validated screening tools for allergies, anxiety, depression, sleep apnoea and sleep quality into an electronic patient health history questionnaire.MethodsIn this descriptive study, we reviewed electronic medical records of Olympic and Paralympic athletes who completed health screenings, which included validated screens for allergies (Allergy Questionnaire for Athletes), anxiety (General Anxiety Disorder-2), depression (Patient Health Questionaire-2), sleep apnoea (Berlin Questionnaire) and sleep quality (Pittsburgh Sleep Quality Index), using established criteria for a positive screen. We report the prevalence of positive tests and the associations between positive screening tools.ResultsA total of 683 Olympic and 257 Paralympic athletes (462 male, 478 female) completed the health history between May and September of 2019. At least one positive screen was reported by 37% of athletes training for the Olympics and 48% of athletes training for the Paralympics. More than 20% of all athletes screened positive for allergies and poor sleep quality. Athletes training for the Paralympics had a significantly higher percentage of positive screens for anxiety, depression, poor sleep quality and sleep apnoea risk. Females had significantly more positive screens for allergy and poor sleep quality.ConclusionsThe addition of standardised screening tools to an electronic health history resulted in the identification of potential mental health, sleep and allergy problems in both Olympic and Paralympic athletes. Strong associations between mental health and sleep disorders suggest these problems should be considered together in health screening programmes.

Download Full-text

Effects of onabotulinumtoxinA treatment for chronic migraine on common comorbidities including depression and anxiety

Journal of Neurology Neurosurgery & Psychiatry ◽

10.1136/jnnp-2018-319290 ◽

2019 ◽

Vol 90 (3) ◽

pp. 353-360 ◽

Cited By ~ 17

Author(s):

Andrew M Blumenfeld ◽

Stewart J Tepper ◽

Lawrence D Robbins ◽

Aubrey Manack Adams ◽

Dawn C Buse ◽

...

Keyword(s):

Sleep Quality ◽

Chronic Migraine ◽

Poor Sleep ◽

Depression And Anxiety ◽

Poor Sleep Quality ◽

Open Label ◽

Meaningful Improvement ◽

Symptoms Of Depression ◽

Patient Health ◽

Registration Number

ObjectiveTo assess the effects of onabotulinumtoxinA treatment for chronic migraine (CM) on comorbid symptoms of depression, anxiety, fatigue and poor sleep quality.MethodsThe Chronic Migraine OnabotulinuMtoxinA Prolonged Efficacy open-Label (COMPEL) study is a multicentre, open-label, prospective study assessing the long-term safety and efficacy of onabotulinumtoxinA 155 U over nine treatments (108 weeks) in adults with CM. The Patient Health Questionnaire (PHQ-9) and Generalised Anxiety Disorder (GAD-7) scales were used to assess the effects of onabotulinumtoxinA on comorbid symptoms of depression and anxiety, respectively. A clinically meaningful improvement was assessed by the percentage of patients experiencing a ≥1 severity category reduction in PHQ-9 and GAD-7. The effects of onabotulinumtoxinA on associated sleep quality and fatigue were assessed using the Pittsburgh Sleep Quality Index and Fatigue Severity Scale, respectively.ResultsOnabotulinumtoxinA treatment was associated with sustained reduction in headache days and PHQ-9 and GAD-7 scores in the analysis population (n=715) over 108 weeks. PHQ-9 and GAD-7 scores were significantly reduced at all time points in patients with clinically significant symptoms of depression and/or anxiety at baseline. By week 108, 78.0% and 81.5% had clinically meaningful improvement in depression and anxiety symptoms, respectively. Sleep quality and symptoms of fatigue also improved; however, less is understood about clinically meaningful changes in these measures. No new safety concerns were identified.ConclusionIn addition to reducing headache frequency, onabotulinumtoxinA treatment for CM was associated with clinically meaningful reduction in symptoms of depression and anxiety, and improved associated symptoms of poor sleep quality and fatigue.Trial registration numberNCT01516892.

Download Full-text

Descriptive study on sleep quality and its associated factors among elderly in urban population: Chidambaram

International Journal of Community Medicine and Public Health ◽

10.18203/2394-6040.ijcmph20191808 ◽

2019 ◽

Vol 6 (5) ◽

pp. 1999 ◽

Cited By ~ 1

Author(s):

R. Gouthaman ◽

R. Devi

Keyword(s):

Sleep Quality ◽

Elderly People ◽

Population Aging ◽

Depression Scale ◽

Cross Sectional Study ◽

Poor Sleep ◽

Contributing Factors ◽

Cross Sectional ◽

Significance Level ◽

Background Population

Background: Population aging is a major health issue in most countries, sleep is one of the significant factors affecting aging and elderly people’s quality of life. The present study was done to assess sleep quality and its contributing factors among elderly people.Methods: This cross-sectional study was conducted in 2018 on 227 elderly people aged fifty five or more participants were selected from the urban field practice area Chidambaram. Data collection tools were a demographic questionnaire, pittsburg sleep quality index and five point depression scale. The collected data were entered into SPSS software (V-22) and analysed using chi-square test at the significance level of less than 0.5.Results: Among 227 elderly people most of them were between the age group of 55 to 60 years (44.9%) and majority of them were females (59%), literacy (69.6%) married (60.5%), house wives (43.6%). Among the population 34.8% had their PSQI value <5 which suggest good sleep quality and whereas 65.2% had PSQI ≥5 suggesting poor sleep quality.Conclusions: The finding of their study indicates that elderly population in this area, have a fairly good quality. The most important factors contributing to their sleep quality are gender, dependency in doing daily activities, other health problems, marital status and their habitual sleep efficiency.

Download Full-text

P045 A prospective review of sleep quality in hospitalised respiratory inpatients

SLEEP Advances ◽

10.1093/sleepadvances/zpab014.093 ◽

2021 ◽

Vol 2 (Supplement_1) ◽

pp. A36-A36

Author(s):

H Guo ◽

D O’Driscoll ◽

R Ogeil ◽

W Tse ◽

A Young

Keyword(s):

Sleep Quality ◽

Medical Condition ◽

Clinical Care ◽

Significant Proportion ◽

Poor Sleep ◽

Physical And Mental Health ◽

Contributing Factors ◽

Extrinsic Factors ◽

Patient Rating ◽

Hospitalised Patients

Abstract Background and Aim Sleep is an active and restorative state that is vital for maintaining optimal physical and mental health. Hospitalised patients are particularly at risk of poor sleep. We aim to review the sleep quality of respiratory inpatients at a tertiary hospital and to identify modifiable barriers to sleeping well in hospital environments. Methods Prospective data were collected from respiratory ward patients at time of discharge by completion of a medical records review and a Sleep Questionnaire created by Working Group Sleep Health Foundation, including patient rating of sleep quality (very poor, poor, fair, good, very good) and sleep disrupting factors. These data were stratified by pertinent environmental, patient and clinical care factors. Results Data from 6 patients were analysed; median age was 65 years, 3 (50%) were male and median length of hospital stay was 5 days. Four (67%) patients used sedating medications, 1 (17%) used this for treatment of insomnia. Two (33%) of patients characterised their sleep quality as poor or very poor and 3 (50%) patients described their sleep in hospital as slightly worse or much worse than sleeping at home. The main contributing factors to poor sleep quality were noise, checking of vital signs by hospital staff, medical treatments and medical condition relating to admission (eg. pain, dysnpea). Data collection is ongoing. Conclusion A significant proportion of patients experienced poorer sleep quality as a result of their hospital admission, attributable to both extrinsic factors (noise and clinical care) and underlying medical conditions.

Download Full-text