Excessive daytime sleepiness in depressed women

Calati, Raffaella; Gaspar-Barba, Enrique; Cruz-Fuentes, Carlos; Nenclares, Alejandro; Jiménez-Genchi, Alejandro; Ronchi, Diana De; Serretti, Alessandro

doi:10.1016/j.psychres.2009.11.021

Cited by 9 publications

(8 citation statements)

References 37 publications

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“…Daytime dysfunction has been reported to be part of the symptoms of patients with insomnia (Espie, Kyle, Hames, Cyhlarova, & Benzeval, ). Furthermore, daytime dysfunction has been found to be of high importance because of the association with an increased risk of accidents, impairments in quality of life and decreased productivity (Calati et al., ). Only the use of sleep medication slightly increased, which is mainly explained by hypnotics and sedative antidepressants being administered as a symptomatic treatment approach.…”

Section: Discussionmentioning

confidence: 99%

“…Daytime dysfunction has been reported to be part of the symptoms of patients with insomnia (Espie, Kyle, Hames, Cyhlarova, & Benzeval, 2012). Furthermore, daytime dysfunction has been found to be of high importance because of the association with an increased risk of accidents, impairments in quality of life and decreased productivity (Calati et al, 2010 However, despite the significant improvement of the PSQI, a great proportion of patients (67%) still suffered from relevant impairments in their sleep quality at discharge. Given the growing evidence of insomnia being more than a residual symptom of a comorbid psychiatric disorder the importance of implementing insomnia-specific treatment is highlighted (Baglioni, Spiegelhalder, Lombardo, & Riemann, 2010).…”

Section: Persistence Of Insomnia Symptoms As a Clinical Challengementioning

confidence: 99%

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Pre‐ to post‐inpatient treatment of subjective sleep quality in 5,481 patients with mental disorders: A longitudinal analysis

Schennach

Feige

Riemann

et al. 2019

Journal of Sleep Research

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There is only limited evidence of the course of sleep quality and sleep disturbances during acute inpatient treatment and the prediction of/association with treatment outcome in mental disorders. Within this naturalistic study, 5,481 consecutively admitted inpatients completed the Pittsburgh Sleep Quality Index (PSQI) and the Beck Depression Inventory (BDI‐II) at admission and at discharge. Treatment included both individual and group psychotherapy (but no specific interventions for sleep disturbances) and pharmacotherapy based on current national treatment guidelines. Correlation analyses, analyses of variance and linear models were calculated to analyse the datasets. The PSQI improved significantly (p < 0.001) from admission (mean score 9.51 [±4.11]) to discharge (mean score 8.08 [±4.20]) in all diagnostic subgroups. Despite this improvement, 47% of the patients still showed elevated PSQI scores (>5) at discharge. Patients with post‐traumatic stress disorder showed the largest sleep disturbances at both time‐points; patients with obsessive‐compulsive disorder were the least impaired. An improvement of the PSQI was found to be significantly correlated (p < 0.001) to the change of BDI‐II values (without the sleep item) during treatment. The likelihood of achieving remission of depressive symptoms (BDI‐II total score <14) was significantly associated with less sleep disturbances at admission. The results suggest that almost half of inpatients with mental disorders treated successfully with state‐of‐the art specific psychotherapy and pharmacotherapy do not have remission of their sleep problems. Therefore, specific treatment programmes for insomnia should be evaluated and implemented in daily clinical routines.

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Section: Discussionmentioning

confidence: 99%

Section: Persistence Of Insomnia Symptoms As a Clinical Challengementioning

confidence: 99%

Pre‐ to post‐inpatient treatment of subjective sleep quality in 5,481 patients with mental disorders: A longitudinal analysis

Schennach

Feige

Riemann

et al. 2019

Journal of Sleep Research

View full text Add to dashboard Cite

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“…Almost half of the participants generated responses indicative of sleep and wakefulness disorders (30.7% insomnia, 10.7% daytime sleepiness, 7.9% OSA). International estimates range from 9% to 36% for insomnia, 19 8.7% to 20% for daytime sleepiness, 20 and 2% to 10% for OSA. 21 It was interesting to note that the prevalence for insomnia and OSA among the participants in this study was at the higher end of the international ranges, while daytime sleepiness was comparatively lower.…”

Section: Discussionmentioning

confidence: 99%

Can a community pharmacy sleep assessment tool aid the identification of patients at risk of sleep disorders in the community: a pilot study

Kashyap¹,

Nissen²,

Smith³

et al. 2012

IPRP

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Background: When experiencing sleep problems for the first time, consumers may often approach community pharmacists for advice as they are easily accessible health care professionals in the community. In Australian community pharmacies there are no specific tools available for use by pharmacists to assist with the assessment and handling of consumers with sleep enquiries. Objective: To assess the feasibility of improving the detection of sleep disorders within the community through the pilot of a newly developed Community Pharmacy Sleep Assessment Tool (COP-SAT). Method: The COP-SAT was designed to incorporate elements from a number of existing, standardized, and validated clinical screening measures. The COP-SAT was trialed in four Australian community pharmacies over a 4-week period. Key findings: A total of 241 community pharmacy consumers were assessed using the COP-SAT. A total of 74 (30.7%) were assessed as being at risk of insomnia, 26 (10.7%) were at risk of daytime sleepiness, 19 (7.9%) were at risk of obstructive sleep apnea, and 121 (50.2%) were regular snorers. A total of 116 (48.1%) participants indicated that they consume caffeine before bedtime, of which 55 (47%) had associated symptoms of sleep onset insomnia. Moreover, 85 (35%) consumed alcohol before bedtime, of which 50 (58%) experienced fragmented sleep, 50 (58%) were regular snorers, and nine (10.6%) had apnea symptoms. The COP-SAT was feasible in the community pharmacy setting. The prevalence of sleep disorders in the sampled population was high, but generally consistent with previous studies on the general population. Conclusion: A large proportion of participants reported sleep disorder symptoms, and a link was found between the consumption of alcohol and caffeine substances at bedtime and associated symptoms. While larger studies are needed to assess the clinical properties of the tool, the results of this feasibility study have demonstrated that the COP-SAT may be a practical tool for the identification of patients at risk of developing sleep disorders in the community.

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“…Lessov-Schlagga et al 11 verified a relationship between depression symptoms and EDS among men. On the other hand, Calati et al 13 did not find any association between depression and EDS among women.…”

Section: Introductionmentioning

confidence: 87%

“…However, there is evidence that EDS is not only a result of OSAS, since it can be an independent variable of this disease 4 . For these cases, it is possible that obesity [4][5][6] , the metabolic syndrome 4,7 , heart diseases [8][9][10] , and depression [11][12][13] can be related to EDS.…”

Section: Introductionmentioning

confidence: 99%

Excessive daytime sleepiness in the elderly: association with cardiovascular risk, obesity and depression

Lopes

Dantas

Medeiros

2013

Rev. bras. epidemiol.

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Excessive daytime sleepiness in depressed women

Cited by 9 publications

References 37 publications

Pre‐ to post‐inpatient treatment of subjective sleep quality in 5,481 patients with mental disorders: A longitudinal analysis

Pre‐ to post‐inpatient treatment of subjective sleep quality in 5,481 patients with mental disorders: A longitudinal analysis

Can a community pharmacy sleep assessment tool aid the identification of patients at risk of sleep disorders in the community: a pilot study

Excessive daytime sleepiness in the elderly: association with cardiovascular risk, obesity and depression

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