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

Lopes, Johnnatas Mikael; Dantas, Fábio Galvão; Medeiros, Jovany Luis Alves de

doi:10.1590/s1415-790x2013000400007

Cited by 29 publications

(19 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The scale has been validated for older American women and has an adequate internal consistency (α = 0.76) 19 , In Brazil it has been validated for adults 18 and its feasibility was tested in institutionalized older people 20 , demonstrating that is possible use this instrument. Despite the limitations, this is a widely used scale for EDS assessment in older population 8,9,11,21,22 . Sociodemographic variables analyzed were: gender, age (grouped 65 -69, 70 -74, 75 -79 and 80 years and older), education level (0 -1, 1 -4, 5 -8, 9 years or more), and gross monthly family income (0 -1, 1 -3, 3 -5, 5 minimum wages and above).…”

Section: Methodsmentioning

confidence: 99%

Correlates of excessive daytime sleepiness in community-dwelling older adults: an exploratory study

Lima

Soares

Bilton

et al. 2015

Rev. bras. epidemiol.

View full text Add to dashboard Cite

Excessive daytime sleepiness (EDS) imposes a wide range of adverse health-related outcomes in older people, such as disability, which impair everyday activities and may increase the risk of fall. Few studies have explored EDS in Brazilian older people living in the community who are typically cared in primary health services. This study aims to investigate the prevalence of EDS and its sociodemographic, physical and mental health correlates among community-dwelling older adults. This is an exploratory, population-based study derived from Frailty in Brazilian Older Adults (FIBRA) study including adults aged 65 years and older. Participants with a score ≥ 11 points on the Epworth Sleepiness Scale were considered as having excessive daytime sleepiness. A structured, multidimensional questionnaire was used to investigate sociodemographic, physical and mental health, and self-rated health variables. The sample was composed of 776 older adults, of whom 21% (n = 162) presented excessive daytime sleepiness. Multivariate regression analysis revealed that EDS is associated with obesity (OR = 1.50; 95%CI 1.02 -2.20), urinary incontinence (OR = 1.53; 95%CI 1.01 -2.31), poor self-rated health (OR = 1.54; 95%CI 1.06 -2.24), and depression symptoms (OR = 1.49; 95%CI 1.00 -2.20). Our results suggest that healthcare professionals should identify older adults with EDS and implement intervention strategies to minimize the negative impact of the co-occurrence of this condition with obesity, depression and urinary incontinence over health and quality of life.

show abstract

Section: Methodsmentioning

confidence: 99%

Correlates of excessive daytime sleepiness in community-dwelling older adults: an exploratory study

Lima

Soares

Bilton

et al. 2015

Rev. bras. epidemiol.

View full text Add to dashboard Cite

show abstract

“…Sleep disturbances are a hallmark of the depressive disorder, with approximately 80% of patients with depression complaining of a deterioration in the quantity and quality of sleep. 18 Lopes et al 36 also identified an association between depression and excessive daytime sleepiness, a manifestation of sleep dysfunction during wakefulness, and found that men with depression were more associated with this dysfunction.…”

Section: Sleep Characteristicmentioning

confidence: 97%

Associação da depressão com as características sociodemográficas, qualidade do sono e hábitos de vida em idosos do Nordeste brasileiro: estudo seccional de base populacional

Lopes

Fernandes

Dantas

et al. 2015

Rev. bras. geriatr. gerontol.

Self Cite

View full text Add to dashboard Cite

Introduction: Depressive disorders can be defined as episodes of depressed mood or loss of interest and pleasure in nearly all activities. Depression is considered a major mental disorder in the elderly, and may be related to quality of sleep and living habits as well as being influenced by sociodemographic factors. Objective: To determine the prevalence of depression among the elderly in the north-east of Brazil, and the relationship between the condition and socio-demographic profile, quality of sleep and living habits. Method: An epidemiological cross-sectional study was performed of the elderly population of the urban area of Campina Grande, Paraiba. The dependent variable presence of depression and the independent variables sociodemographic aspects, sleep quality, and living habits were investigated. Estimates of the prevalence of the variables were obtained and association measured using Poisson Regression. A 5% significance level was adopted for the estimates. Results: The study included 168 elderly patients with a mean age of 72.3 (±7.8) years, most of whom, 122 (72.6%), were women. Depression was identified in 72 elderly persons (42.9%). Elderly women were twice as associated with depression (PR=2.26) as men. A subjective quality of sleep of very good (PR=0.34), medium/high risk of sleep disturbance (PR = 4.08), taking sleeping medications once or twice (PR=5.21) and three times or more (PR=8.69) a week, daytime dysfunction once or twice (PR=14.40) and three times or more (PR=27) a week and poor quality of sleep on the Pittsburgh index were associated with depression in bivariate analysis, although there was no relationship following multivariable adjustment. Conclusion: The prevalence of depression was high in the studied population, being noticeably more frequent among elderly woman. However, it was not possible to detect an association between depression and living habits and sleep quality.

show abstract

“…(24) The sedentary lifestyle in turn, may be associated with increased waist circumference and obesity, (19) increasing the chances of occurrence of these two risk factors and thus, of cardiovascular disease. A recent study with 168 elderly showed that waist circumference in men is associated with excessive daytime sleepiness, (25) illustrating how the relationships between these factors are intertwined. Thus, a sedentary lifestyle may contribute to the increased cardiovascular risk in various ways, since it is associated, to obesity, increased waist circumference, and excessive daytime sleepiness, among other factors.…”

Section: Discussionmentioning

confidence: 99%

“…(7) In another study, the increased BMI was associated with excessive daytime sleepiness in women but not in men, in which excessive daytime sleepiness was related, among other factors, to increased waist circumference. (25) …”

Section: Discussionmentioning

confidence: 99%

Sonolência diurna excessiva nos pacientes com infarto agudo do miocárdio

Andrechuk

Ceolim

2015

Acta paul. enferm.

View full text Add to dashboard Cite

Objective: To characterize daytime sleepiness in patients with acute myocardial infarction and identify the sociodemographic and clinical characteristics associated with excessive daytime sleepiness in these patients. Methods: A cross-sectional study with 113 patients (mean age of 59.7 years; 70.8% male), in which were used an instrument for the sociodemographic and clinical characterization, and the Epworth Sleepiness Scale. Results: Excessive daytime sleepiness was identified in 33 patients (29.2%). Those with a body mass index above 30 kg/m 2 and those who progressed to clinical worsening obtained a higher score in the Epworth Sleepiness Scale, compared to those with a body mass index less than 30 kg/m 2 and clinical improvement. The patients aged 60 years or more, those separated, and with body mass index greater than 30 kg/m 2 were more likely to mention excessive daytime sleepiness. Conclusion: Identifying individuals with excessive daytime sleepiness should be part of the routine work of nurses for the prevention of cardiovascular diseases. ResumoObjetivos: Caracterizar a sonolência diurna em pacientes com infarto agudo do miocárdio e identificar as características sociodemográficas e clínicas associadas à sonolência diurna excessiva nesses pacientes. Métodos: Estudo transversal com 113 pacientes (média de idade 59,7; 70,8% sexo masculino). Utilizou-se um instrumento para caracterização sociodemográfica e clínica e a Escala de Sonolência de Epworth. Resultados: A sonolência diurna excessiva foi identificada em 33 pacientes (29,2%). Aqueles com índice de massa corporal acima de 30kg/m 2 e aqueles que evoluíram com piora clínica obtiveram escore superior na Escala de Sonolência Epworth, comparados àqueles com índice de massa corporal inferior a 30kg/m 2 e melhora clínica. Os pacientes com 60 anos ou mais, os separados e aqueles com índice de massa corporal superior a 30kg/m 2 apresentaram chances maiores de referir sonolência diurna excessiva. Conclusão: Identificar indivíduos com sonolência diurna excessiva deve constituir parte da atuação rotineira do enfermeiro visando à prevenção das doenças cardiovasculares.

show abstract

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

Abstract: It was found that obesity for women, and depression and cardiovascular dysfunction risking for men were associated with EDS in the elderly. The variable sex is a confusion condition for the association with sleepiness.

Cited by 29 publications

References 29 publications

Correlates of excessive daytime sleepiness in community-dwelling older adults: an exploratory study

Correlates of excessive daytime sleepiness in community-dwelling older adults: an exploratory study

Associação da depressão com as características sociodemográficas, qualidade do sono e hábitos de vida em idosos do Nordeste brasileiro: estudo seccional de base populacional

Sonolência diurna excessiva nos pacientes com infarto agudo do miocárdio

Contact Info

Product

Resources

About