Comparing sleep quality in institutionalized and non-institutionalized elderly individuals

Silva, Raquel Martins da; Afonso, Pedro; Fonseca, Miguel; Teodoro, Tomás

doi:10.1080/13607863.2019.1619168

Cited by 25 publications

(29 citation statements)

References 46 publications

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“…Using a standardized assessment tool for sleep quality, the Pittsburgh Sleep Quality Index (PSQI), epidemiological studies indicated that the self-rated prevalence of poor sleep quality was 62.4% among older adults in Thailand [6], 16.6% among Mexican Americans aged 75 and older [7], 41.5% and 33.8% among the elderly adults living in urban and rural areas of China, respectively [8,9]. However, several studies demonstrated that most sleep problems may be exacerbated by institutional settings [10,11]. For instance, a study conducted on 100 selected individuals of over 65 years of age found that institutionalized elderly people presented more worse overall sleep quality and higher levels of daytime somnolence than noninstitutionalized elderly people [10].…”

Section: Introductionmentioning

confidence: 99%

“…However, several studies demonstrated that most sleep problems may be exacerbated by institutional settings [10,11]. For instance, a study conducted on 100 selected individuals of over 65 years of age found that institutionalized elderly people presented more worse overall sleep quality and higher levels of daytime somnolence than noninstitutionalized elderly people [10]. Fetveit and colleagues [11] found that the prevalence of sleep disturbance was approximately 70% among nursing home residents.…”

Section: Introductionmentioning

confidence: 99%

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The prevalence of poor sleep quality and associated risk factors among Chinese elderly adults in nursing homes: A cross-sectional study

Zhu

Nie

et al. 2020

PLoS ONE

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Background Sleep problems have become the most common complaints among the elderly. There are a few studies that explored the prevalence of poor sleep quality and its associated factors among the elderly in nursing homes. Therefore, this study aimed to examine the prevalence of poor sleep quality and its associated factors among the Chinese elderly in nursing homes. Methods A total of 817 elderly residents, from 24 nursing homes, were included in this cross-sectional study. Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI), and poor sleep quality was defined as PSQI >5. Multiple binary logistic regression was used to estimate the strength of the association between risk factors and poor sleep quality in terms of adjusted odds ratios (AORs) and their 95% confidence intervals (CIs), and interactions of risk factors for poor sleep quality were also examined. Results The prevalence of poor sleep quality was 67.3% (95% CI: 64.0, 70.5%) among the Chinese elderly in nursing homes. Multiple binary logistic regression results showed that participants with the following characteristics had an increased risk of poor sleep quality after adjustments for other confounders:

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The prevalence of poor sleep quality and associated risk factors among Chinese elderly adults in nursing homes: A cross-sectional study

Zhu

Nie

et al. 2020

PLoS ONE

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“…illumination levels and exposure to bright light) in ALCs and NHs is often suboptimal (Voyer et al, 2006), which could contribute to decreased engagement, decreased physical activity and increased daytime sleepiness. In addition, higher levels of depressive symptoms, limited sunlight exposure and decreased daytime stimulation in an NH environment may contribute to decreased overall sleep quality and increase the frequency of sleeping during the day (Martins da Silva et al, 2019). Furthermore, increased napping as a result of increased daytime sleepiness in NH residents is associated with decreased social involvement and decreased cognitive performance (Li et al, 2015), more time spent in bed and requiring assistance with more activities of daily living (ADL) (Martin et al, 2006) and even reduced survival (Gehrman et al, 2004).…”

Section: Introductionmentioning

confidence: 99%

Predictors of change over time in subjective daytime sleepiness among older adult recipients of long-term services and supports

Petrovsky

Hirschman

McPhillips

et al. 2020

Int. Psychogeriatr.

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Objectives: Daytime sleepiness is associated with multiple negative outcomes in older adults receiving long-term services and supports (LTSS) including reduced cognitive performance, need for greater assistance with activities of daily living and decreased social engagement. The purpose of this study was to identify predictors of change in subjective daytime sleepiness among older adults during their first 2 years of receiving LTSS. Design and Setting: Secondary analysis of data from a prospective longitudinal study of older adults who received LTSS in their homes, assisted living communities or nursing homes interviewed at baseline and every 3 months for 24 months. Participants: 470 older adults (60 years and older) newly enrolled in LTSS (mean = 81, SD = 8.7; range 60–98; 71% women). Measurements: Subjective daytime sleepiness was assessed every 3 months through 2 years using the Epworth Sleepiness Scale. Multiple validated measures were used to capture health-related quality of life characteristics of enrollees and their environment, including symptom status (Symptom Bother Scale), cognition (Mini Mental Status Exam), physical function (Basic Activities of Daily Living), physical and mental general health, quality of life (Dementia Quality of Life, D-QoL), depressive symptoms (Geriatric Depression Scale) and social support (Medical Outcomes Survey-Social Support). Results: Longitudinal mixed effects modeling was used to examine the relationship between independent variables and continuous measure of daytime sleepiness. Increased feelings of belonging, subscale of the D-QoL (effect size = −0.006, 95% CI: −0.013 to −0.0001, p = 0.045) and higher number of depressive symptoms (effect size = −0.002, 95% CI: −0.004 to −0.001, p = 0.001) at baseline were associated with slower rates of increase in daytime sleepiness over time. Conclusions: Comprehensive baseline and longitudinal screening for changes in daytime sleepiness along with depression and perceived quality of life should be used to inform interventions aimed at reducing daytime sleepiness among older adults receiving LTSS.

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“…Using a standardized assessment tool for sleep quality named the Pittsburgh Sleep Quality Index (PSQI), epidemiological studies have indicated that the selfrated prevalence of poor sleep quality was 62.4% among older adults in Thailand [6], 16.6% in Mexican Americans aged 75 and older [7], 41.5% and 33.8% among elderly adults living in urban and rural areas in China, respectively [8,9]. However, several studies demonstrated that most sleep problems may be exacerbated by institutional setting [10,11]. For instance, a study conducted among 100 selected individuals over 65 years of age found that institutionalized elderly adults presented worse overall sleep quality and higher levels of daytime somnolence than non-institutionalized elderly adults [10].…”

Section: Introductionmentioning

confidence: 99%

“…However, several studies demonstrated that most sleep problems may be exacerbated by institutional setting [10,11]. For instance, a study conducted among 100 selected individuals over 65 years of age found that institutionalized elderly adults presented worse overall sleep quality and higher levels of daytime somnolence than non-institutionalized elderly adults [10]. Fetveit and colleagues [11] found that the prevalence of sleep disturbance was approximately 70% among nursing home residents.…”

Section: Introductionmentioning

confidence: 99%

The prevalence of poor sleep quality and associated risk factors among Chinese elderly adults in nursing homes: a cross-sectional study

Zhao

Zhu

et al. 2019

Preprint

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Background: Sleep problems have become the most common complaints among elderly adults. There are a few studies indentified prevalence of poor sleep quality and its associated factors in nursing home setting.Therefore, our study aim to examine the prevalence of poor sleep quality, its risk factors, and their interactions among Chinese elderly adults in nursing homes. Methods: A total of 817 elderly residents from 24 nursing homes were included in this cross-sectional study. Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI), and poor sleep quality was defined as PSQI >5. Multiple binary logistic regression was used to estimate adjusted odds ratios (AORs) and 95% confidence intervals (CIs) between risk factors and poor sleep quality. An additional interaction model was used to analyse the interaction between risk factors. Results: The prevalence of poor sleep quality was 67.3% (95% CI: 64.0, 70.5%) among elderly adults in nursing homes. Multiple binary logistic regression results showed that participants with the following characteristics had an increased risk of poor sleep quality after adjustments for other confounders: being 70-79 years old (AOR: 1.81, 95% CI: 1.10, 2.97) or 80 years old and above (AOR: 2.64, 95% CI: 1.67, 4.17); having less than 7 years of education (AOR: 1.59, 95% CI: 1.08, 2.33); having one to two kinds of chronic diseases (AOR: 2.26, 95% CI: 1.53, 3.32) or three or more kinds of chronic disease (AOR: 2.81, 95% CI: 1.65, 4.76); having depression (AOR: 3.13, 95% CI: 2.04, 4.81), anxiety (AOR: 3.42, 95% CI: 1.68, 6.97), and lower social support (AOR: 1.57, 95% CI: 1.11, 2.21). Additive interactions were detected between age and anxiety (AOR: 8.34, 95% CI: 4.43, 15.69), between chronic disease and anxiety (AOR: 8.61, 95% CI; 4.28, 17.31) and between social support and anxiety (AOR: 6.43, 95% CI: 3.22, 12.86). Conclusions: The prevalence of poor sleep quality in nursing homes is relatively high. Anxiety has additive interactions with age, chronic disease and social support for poor sleep quality. These findings have significant implications for interventions that aim to improve sleep quality among elderly residents in nursing homes.

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Comparing sleep quality in institutionalized and non-institutionalized elderly individuals

Cited by 25 publications

References 46 publications

The prevalence of poor sleep quality and associated risk factors among Chinese elderly adults in nursing homes: A cross-sectional study

The prevalence of poor sleep quality and associated risk factors among Chinese elderly adults in nursing homes: A cross-sectional study

Predictors of change over time in subjective daytime sleepiness among older adult recipients of long-term services and supports

The prevalence of poor sleep quality and associated risk factors among Chinese elderly adults in nursing homes: a cross-sectional study

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