Sleep Disturbance in Psoriatic Disease: Prevalence and Associated Factors

2017 ◽  
Vol 44 (9) ◽  
pp. 1369-1374 ◽  
Author(s):  
Ian T.Y. Wong ◽  
Vinod Chandran ◽  
Suzanne Li ◽  
Dafna D. Gladman
Keyword(s):  
Psoriatic Arthritis ◽  
Sleep Quality ◽  
Sleep Disturbance ◽  
Quality Index ◽  
Short Form ◽  
Life Quality ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Psoriatic Disease ◽  
Patient Reported

Objective.We aimed to determine the prevalence and quality of sleep in patients with psoriatic arthritis (PsA) and those with psoriasis without PsA (PsC) followed in the same center, to identify factors associated with sleep disturbance, and to compare findings to those of healthy controls (HC).Methods.The study included 113 PsA [ClASsification for Psoriatic ARthritis (CASPAR) criteria] and 62 PsC (PsA excluded by a rheumatologist) patients and 52 HC. Clinical variables were collected using a standard protocol. The sleep quality was evaluated using the Pittsburgh Sleep Quality Index (PSQI). Other patient-reported outcomes collected included the Health Assessment Questionnaire (HAQ), Dermatology Life Quality Index, EQ-5D, Medical Outcomes Study Short Form-36 survey, patient’s global assessment, and the Functional Assessment of Chronic Illness Therapy-Fatigue (FACIT-fatigue) scale. Statistical analyses included descriptive statistics, Wilcoxon rank-sum test, and linear regression.Results.The prevalence of poor sleep quality was 84%, 69%, and 50% in PsA, PsC, and HC, respectively. Total PSQI score was higher in both patients with PsA and patients with PsC compared with HC (p < 0.01) and higher in patients with PsA compared to patients with PsC (p < 0.0001). EQ-5D anxiety component, EQ-5D final, and FACIT-fatigue were independently associated with worse PSQI in patients with PsC and those with PsA (p < 0.05). Actively inflamed (tender or swollen) joints are independently associated with worse PSQI in patients with PsA (p < 0.01).Conclusion.Patients with psoriatic disease have poor sleep quality. Poor sleep is associated with fatigue, anxiety, and lower EQ-5D. In patients with PsA, poor sleep is associated with active joint inflammation.

scholarly journals Acne Severity and Sleep Quality in Adults

2019 ◽  
Vol 1 (4) ◽  
pp. 510-516 ◽  
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.

scholarly journals The Association Between Cardiorespiratory Fitness and Reported Physical Activity With Sleep Quality in Apparently Healthy Adults: A Cross-Sectional Study

2021 ◽  
Author(s):  
Ahmad Osailan ◽  
Ragab Elnaggar ◽  
Saud Alsubaie ◽  
Bader Alqahtani ◽  
Walid Kamal Abdelbasset
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Cardiorespiratory Fitness ◽  
Quality Index ◽  
Short Form ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Subjective Sleep Quality ◽  
Subjective Sleep ◽  
Apparently Healthy

Abstract: Background: Recently, cardiorespiratory fitness (CRF) has been postulated as an adverse health outcome related to poor sleep quality. However, studies investigating the relationship between CRF with subjective sleep quality index are scarce. Thus, the current study aimed to investigate the association between CRF and Pittsburgh sleep quality index (PSQI) in apparently healthy people. The secondary aim was to investigate the association between reported physical activities (PA) and PSQI. Methods: 33 apparently healthy male participants volunteered to participate. CRF (VO2 peak) was measured via cardiopulmonary exercise testing on a treadmill. A short form of the International physical activity questionnaire (IPAQ) was used to measure PA, and PSQI was used for sleep quality index. Results: There was no correlation between CRF and PSQI total score or any component of the PSQI. Also, there was no correlation between IPAQ and PSQI total score. Categorical data analysis of the two questionnaires revealed that 45.5% of the participants reported low physical activity and poor sleep quality. Conclusions: There was no association between CRF, reported PA with subjective sleep quality index. The use of objective tools for assessing the quality and quantity of sleep should be recommended for future studies as it may clarify the association between CRF and sleep quality.

scholarly journals Factors associated with poor sleep quality in women with cancer

2017 ◽  
Vol 25 (0) ◽  
Author(s):  
Thalyta Cristina Mansano-Schlosser ◽  
Maria Filomena Ceolim
Keyword(s):  
Sleep Quality ◽  
Quality Index ◽  
Sleep Disturbances ◽  
Pittsburgh Sleep Quality Index ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Factors Associated ◽  
Scale Data

ABSTRACT Objectives: to analyze the factors associated with poor sleep quality, its characteristics and components in women with breast cancer prior to surgery for removing the tumor and throughout the follow-up. Method: longitudinal study in a teaching hospital, with a sample of 102 women. The following were used: a questionnaire for sociodemographic and clinical characterization, the Pittsburgh Sleep Quality Index; the Beck Depression Inventory; and the Herth Hope Scale. Data collection covered from prior to the surgery for removal of the tumor (T0) to T1, on average 3.2 months; T2, on average 6.1 months; and T3, on average 12.4 months. Descriptive statistics and the Generalized Estimating Equations model were used. Results: depression and pain contributed to the increase in the score of the Pittsburgh Sleep Quality Index, and hope, to the reduction of the score - independently - throughout follow-up. Sleep disturbances were the component with the highest score throughout follow-up. Conclusion: the presence of depression and pain, prior to the surgery, contributed to the increase in the global score of the Pittsburgh Sleep Quality Index, which indicates worse quality of sleep throughout follow-up; greater hope, in its turn, influenced the reduction of the score of the Pittsburgh Sleep Quality Index.

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

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.

scholarly journals The impact of COVID-19 pandemic in the quality of sleep by Pittsburgh Sleep Quality Index: A systematic review

2021 ◽  
Vol 26 (4) ◽  
pp. 1457-1466
Author(s):  
Luiz Felipe Ferreira de Souza ◽  
Laisa Liane Paineiras-Domingos ◽  
Maria Eduarda de Souza Melo-Oliveira ◽  
Juliana Pessanha-Freitas ◽  
Eloá Moreira-Marconi ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Health Professionals ◽  
Quality Index ◽  
Pittsburgh Sleep Quality Index ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Eligibility Criteria ◽  
Different Populations ◽  
The Impact

Abstract This article aims to evaluate the sleep quality in individuals during the COVID-19 pandemic by Pittsburgh Sleep Quality Index (PSQI). Searches were conducted in the PubMed, Embase, Web of Science, and PEDro databases, on May 22, 2020. In the publications, 208 articles were found and, considering the eligibility criteria, 10 articles were included at the end, showing the effects on sleep quality during the pandemic, in populations hospitalized, quarantined, and in frontline health professionals. The PSQI measured sleep disorders and a higher score indicated poor sleep quality. Nine articles were classified with evidence level IV and one as level III-2. Eight studies present a “serious” risk of bias and two in “moderate”. The studies investigated different populations and described the results as “poor” sleep quality, considering the PSQI on quarantined individuals and frontline health professionals as the most committed. A poor sleep quality was found in the populations evaluated in the selected publications, probably, due to the COVID-19 to contribute as a risk factor for mental health. Psychological interventions must be made to minimize the consequences through social support and social capital.

scholarly journals Improvement in Patient-Reported Sleep in Type 2 Diabetes and Prediabetes Participants Receiving a Continuous Care Intervention with Nutritional Ketosis

2018 ◽  
Author(s):  
Morgan J. Siegmann ◽  
Shaminie J Athinarayanan ◽  
Sarah J Hallberg ◽  
Amy L. McKenzie ◽  
Nasir H. Bhanpuri ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Sleep Quality ◽  
Sleep Disturbance ◽  
Dietary Intervention ◽  
Poor Sleep ◽  
Continuous Care ◽  
Care Intervention ◽  
Patient Reported ◽  
One Year

AbstractObjectiveSleep disruption is frequently associated with type 2 diabetes (T2D) and hyperglycemia. We recently reported the effectiveness of a continuous care intervention (CCI) emphasizing nutritional ketosis for improving HbA1c, body weight and cardiovascular risk factors in T2D patients. The present study assessed the effect of this CCI approach on sleep quality using a subjective patient-reported sleep questionnaire.MethodsA non-randomized, controlled longitudinal study; 262 T2D and 116 prediabetes patientsenrolled in the CCI and 87 separately recruited T2D patients continued usual care (UC) treatment. Patients completed the Pittsburgh Sleep Quality Index (PSQI) questionnaire. A PSQI score of >5 (scale 0 to 21) was used to identify poor sleepers.ResultsGlobal sleep quality improved in the CCI T2D (p<0.001) and prediabetes (p<0.001) patients after one year of intervention. Subjective sleep quality (component 1), sleep disturbance (component 5) and daytime dysfunction (component 7), also showed improvements in the CCI T2D (p<0.01 for sleep quality and sleep disturbance; and p<0.001 for daytime dysfunction) and prediabetes patients (p<0.001 for all three components); compared to the UC T2D group after one year. The proportion of patients with poor sleep quality was significantly reduced after one year of CCI (T2D; from 68.3% at baseline to 56.5% at one year, p=0.001 and prediabetes; from 77.9% at baseline to 48.7% at one year, p<0.001).ConclusionThis study demonstrates improved sleep quality as assessed by PSQI in patients with T2D and prediabetes undergoing CCI including nutritional ketosis but not in T2D patients receiving UC. The dietary intervention benefited both sleep quality and the severity of T2D symptoms suggesting that nutritional ketosis improves overall health via multiple mechanisms.

scholarly journals Quality of sleep and associated factors among people living with HIV/AIDS on follow up at Ethiopian Zewditu Memorial Hospital,2018

2020 ◽  
Author(s):  
Nebiyu Mengistu ◽  
Telake Azale ◽  
Solomon Yimer ◽  
Mahilet Fikreyesus ◽  
Elsa Melaku ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Sleep Disturbance ◽  
Associated Factors ◽  
Poor Sleep ◽  
People Living With Hiv ◽  
Quality Of Sleep ◽  
Poor Sleep Quality ◽  
Living With Hiv ◽  
Hiv Aids

Abstract Background: Sleep disturbance is a common complaint in people living with HIV/AIDS. Despite the influence of sleep disturbance on treatment adherence, quality of life, work productivity, risk of chronic illness, it remains under-recognized and under-studied in Ethiopia. Therefore it is necessary to produce scientific evidence to fill the knowledge gap and areas of management. The current study aimed to assess sleep quality and its associated factors among people living with HIV/AIDS. Methods: An institution-based cross-sectional study was utilized among 408 participants who were selected by a systematic random sampling technique at Zewditu memorial hospital from April to May 2018. The Pittsburgh Sleep Quality Index questionnaire was used to measure sleep quality. Ethical clearance was obtained from the joint ethics committee of the University of Gondar and Amanuel Mental Specialized Hospital. Oral informed consent was obtained from each participant. Binary and multivariable logistic regression models were fitted. Odds ratios (OR) with the corresponding 95% confidence interval (95%CI) was computed. Results: The magnitude of poor sleep quality was 55.6%. Being female [AOR=3.40, 95% CI: (1.80, 6.41)], depression [AOR =3.52, 95% CI: (1.95, 6.32)], CD4count ≤ 200 cells/mm3 [AOR=3.18,95%CI: (1.65,6.13)], duration of HIV/AIDS diagnosis [AOR=3.43,95% CI: (1.61,7.29)], current use of tobacco [AOR=5.69, 95% CI: (2.04,15.9)] and chat or caffeinated drinks [AOR=2.65, 95% CI: (1.06,6.64)] and poor sleep hygiene [AOR=3.55, 95% CI: (1.85, 6.78)] were significantly associated with poor sleep quality.Conclusions: More than half of the study participants were found to have poor sleep quality. A range factors influence quality of sleep of people with HIV/AIDS. Routine screening of sleep condition among people living with HIV/AIDS and early intervention based on the findings is suggested.

scholarly journals Sleep Disturbance Among Patients with Myelodysplastic Syndromes and Acute Leukemia

Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 4786-4786
Author(s):  
Marlise Luskin ◽  
Eric Zhou ◽  
Zilu Zhang ◽  
Daniel J. DeAngelo ◽  
Richard Stone ◽  
...  
Keyword(s):  
Acute Leukemia ◽  
Sleep Quality ◽  
Sleep Disturbance ◽  
Myelodysplastic Syndromes ◽  
Research Funding ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Entire Cohort ◽  
Obstructive Sleep ◽  
Leukemia Data

BACKGROUND: Most patients with myelodysplastic syndromes (MDS) describe difficulty sleeping (Luskin et al Br J Haem 2017) and sleep disturbance is a likely contributor to the fatigue experienced by patients with MDS and acute leukemia. Data are sparse regarding the sleep of this patient population as formally assessed with sleep-focused survey instruments. METHODS: We surveyed consecutive adult patients with MDS, AML or ALL at the Dana-Farber Leukemia clinic. With permission from the treating oncologist, patients with a physician-assessed life expectancy ≥ 12 weeks were mailed a questionnaire packet assessing insomnia symptom severity (Insomnia Severity Index; ISI), sleep quality (Pittsburgh Sleep Quality Index; PSQI), obstructive sleep apnea risk (STOP-Bang), and depressive symptoms (Patient Health Questionnaire-9; PHQ-9). Respondents underwent concomitant medical record review. RESULTS: Of 332 eligible patients contacted, 158 (47.6%) responded. Responders were 56% male with a median age of 67 years. Overall, 42% of patients reported insomnia symptoms (ISI ≥10) with the prevalence of such symptoms similar among patients with MDS and acute leukemia (48% vs 38%, p=0.23). OSA risk was high (58%), particularly in patients with MDS (67% vs 52% p=0.10). Those with high OSA risk were more likely to have clinical insomnia as defined by ISI ≥10 (OR 2.6, p=0.01). Depression was uncommon: only 7% had PHQ-measured moderately severe or severe depression. Median sleep duration for the entire cohort was 6.9 hours (range 3-12) indicating that over half of respondents slept less than the 7 hours per night recommended by the National Sleep Foundation for healthy adults. Poor sleep quality (PSQI "Bad Sleep") was seen in 79% of the overall cohort. CONCLUSION: When measured with validated tools, disturbed sleep is common among patients with MDS and acute leukemia. OSA risk is also prevalent but does not likely explain all of the poor sleep quality seen. These data suggest that strategies are needed to improve both quantity and quality of sleep in this population. Table Disclosures DeAngelo: Abbvie: Research Funding; GlycoMimetics: Research Funding; Blueprint: Consultancy, Research Funding; Amgen: Consultancy; Celgene: Consultancy; Shire: Consultancy; Incyte: Consultancy; Novartis: Consultancy, Research Funding; Takeda Pharmaceuticals: Consultancy; Jazz Pharmaceuticals Inc: Consultancy; Pfizer: Consultancy. Garcia:Abbvie: Research Funding; Genentech: Research Funding. Winer:Jazz Pharmaceuticals, Pfizer: Consultancy. Steensma:Aprea: Research Funding; Arrowhead: Equity Ownership; Pfizer: Consultancy; H3 Biosciences: Other: Research funding to institution, not investigator.; Astex: Consultancy; Onconova: Consultancy; Stemline: Consultancy; Summer Road: Consultancy.

The relationship between sleep quality and fibromyalgia symptoms

2018 ◽  
Vol 25 (9) ◽  
pp. 1176-1186 ◽  
Author(s):  
Alexandro Andrade ◽  
Guilherme Torres Vilarino ◽  
Sofia Mendes Sieczkowska ◽  
Danilo Reis Coimbra ◽  
Guilherme Guimarães Bevilacqua ◽  
...  
Keyword(s):  
Multivariate Analysis ◽  
Sleep Quality ◽  
Sleep Disorders ◽  
Quality Index ◽  
Pittsburgh Sleep Quality Index ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Memory Failure ◽  
D 74 ◽  
The Relationship

This study investigated the relationship between sleep quality and fibromyalgia symptoms in 326 patients. The Pittsburgh Sleep Quality Index was used to assess the presence of sleep disorders. Multivariate analysis of variance was performed to determine the influence of fibromyalgia symptoms on sleep quality. The prevalence of sleep disorders was 92.9 percent. Patients reported generalized pain (88.3%), memory failure (78.5%), moodiness (59%), excessive anxiety (77.5%), and concentration difficulties (69.1%). Patients with more symptoms reported poor sleep quality ( p < .05; d = .74), and the total Pittsburgh Sleep Quality Index score correlated with the number of symptoms ( p < .01). Sleep quality has an important association with fibromyalgia symptoms.

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