Sleep Complaints, Subjective and Objective Sleep Patterns, Health, Psychological Adjustment, and Daytime Functioning in Community-Dwelling Older Adults

Center for Gerontological Studies and Department of Psychology, University of Florida, McCarty C, Room 502, PO Box 115911, Gainesville, Florida 32611-5911, USA.
The Journals of Gerontology Series B Psychological Sciences and Social Sciences (Impact Factor: 3.21). 08/2005; 60(4):P182-9. DOI: 10.1093/geronb/60.4.P182
Source: PubMed


We examined sleep complaints, subjective and objective sleep patterns, health, psychological adjustment, and daytime functioning in 103 community-dwelling older adults to identify factors associated with sleep complaints. We collected 2 weeks of sleep diaries and actigraphy. Only health distinguished complaining from noncomplaining sleepers. Noncomplaining good sleepers had poorer objective sleep quantity than complaining poor sleepers. Actigraphy distinguished noncomplaining good and complaining poor sleepers only. Subjective and objective sleep quantities were related for noncomplainers only; this relationship was stronger for women. Implications include a need for research exploring: 1. sleep complaints, sleep perceptions, and health; 2. interventions focusing on older individuals with insomnia secondary to/comorbid with poor health; 3. gender differences in subjective sleep estimates and in "single-shot" versus longitudinal sleep measures.

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    • "The fact that in the present study the BDI values were increased in PS could be due to depression itself or it might be the consequence of an underlying sleep disorder. An overestimation of sleep problems is possible as well: in the study by McCrae et al. [26] noncomplaining GS had poorer objective sleep quantity than complaining PS. Moreover, insomnia patients underestimate their SE whereas healthy persons overestimate their SE [27]. "
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    ABSTRACT: Objectives . Pittsburgh Sleep Quality Index (PSQI) values correlate with depression, but studies investigating the relationship between PSQI values and polysomnographic (PSG) data showed inconsistent findings. Methods . Sixty-five consecutive patients with multiple sclerosis (MS) were retrospectively classified as “good sleepers” (GS) (PSQI ≤ 5) and “poor sleepers” (PS) (PSQI > 5). The PSG data and the values of the Visual Analog Scale (VAS) of fatigue, Modified Fatigue Impact Scale (MFIS), Fatigue Severity Scale (FSS), Epworth Sleepiness Scale (ESS), and the Beck Depression Inventory (BDI) were compared. Results . No significant differences were found either for PSG data or for ESS, MFIS, and FSS values; but PS showed significantly increased BDI and VAS values. Conclusions . Poor sleep is associated with increased depression and fatigue scale values.
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    • "Only 7% of the incidence of insomnia occured in the absence of associated medical conditions (Foley et al., 1999). In the same line further studies on the comorbidity of sleep complaints suggest that the majority of geriatric sleep complaints are not the result of age per se but rather of medical and psychiatric disorders (Foley et al., 2004; Giron et al., 2002; McCrae et al., 2005; Taylor et al., 2007; Vitiello, Moe, & Prinz, 2002). Thus, the high prevalence in sleep complaints among older persons may partially also reflect the age-related high prevalence in chronic diseases and other health problems during older age. "

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    • "can be argued that time to fall asleep and number of sleeping hours would have been more precisely assessed with physiologi - cal measures . We believe that the self - reported measures we used in this study have satisfactory validity , as previous research has shown good correlations between self - reported sleep data and physiological measures [ McCrae et al . , 2005 ] ."
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    ABSTRACT: Exposure to deadlines at work is increasing in several countries and may affect health. We aimed to investigate cross-sectional and longitudinal associations between frequency of difficult deadlines at work and sleep quality. Study participants were knowledge workers, drawn from a representative sample of Danish employees who responded to a baseline questionnaire in 2006 (n = 363) and a follow-up questionnaire in 2007 (n = 302). Frequency of difficult deadlines was measured by self-report and categorized into low, intermediate, and high. Sleep quality was measured with a Total Sleep Quality Score and two indexes (Awakening Index and Disturbed Sleep Index) derived from the Karolinska Sleep Questionnaire. Analyses on the association between frequency of deadlines and sleep quality scores were conducted with multiple linear regression models, adjusted for potential confounders. In addition, we used multiple logistic regression models to analyze whether frequency of deadlines at baseline predicted caseness of sleep problems at follow-up among participants free of sleep problems at baseline. Frequent deadlines were cross-sectionally and longitudinally associated with poorer sleep quality on all three sleep quality measures. Associations in the longitudinal analyses were greatly attenuated when we adjusted for baseline sleep quality. The logistic regression analyses showed that frequent deadlines at baseline were associated with elevated odds ratios for caseness of sleep problems at follow-up, however, confidence intervals were wide in these analyses. Frequent deadlines at work were associated with poorer sleep quality among Danish knowledge workers. We recommend investigating the relation between deadlines and health endpoints in large-scale epidemiologic studies.
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