Age-related sleep change

Vitiello, Michael V.; Larsen, Lawrence H.; Moe, Karen E.

doi:10.1016/s0022-3999(04)00023-6

Cited by 277 publications

(86 citation statements)

References 20 publications

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“…As concern results pertaining to the demographic variables, the result of poorer sleep quality in women is consistent with prior studies (e.g., Mallon et al, 2002; Vitello et al, 2004). In the present study, age was not significantly related to sleep quality nor daytime sleepiness in line with some prior studies (e.g., Holfeld and Ruthig, 2014).…”

Section: Discussionsupporting

confidence: 90%

Time Perspective Biases Are Associated With Poor Sleep Quality, Daytime Sleepiness, and Lower Levels of Subjective Well-Being Among Older Adults

Rönnlund

Carelli

2018

Front. Psychol.

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This study examined the extent to which individual differences in time perspective, i.e., habitual way of relating to the personal past, present, and future, are associated with sleep quality and daytime sleepiness in a sample of older adults. The participants (N = 437, 60–90 years) completed the Karolinska Sleep Questionnaire (KSQ), a the Swedish version of the Zimbardo Time Perspective Inventory (S-ZTPI), and two ratings of subjective well-being (SWB) (life satisfaction, happiness). Based on established relationships between dimension of time perspective and other variables (e.g., depression) and relations between negative retrospection (rumination) and negative prospection (worry) in prior studies, we expected higher scores on Past Negative and Future Negative to be linked to poor sleep quality and (indirectly) increased daytime sleepiness. Moreover, we examined the possibility that variations in perceived sleep and sleepiness during the day mediates the expected association between an aggregate measure of deviations from a so called balanced time perspective (DBTP) and SWB. In regression analyses controlling for demographic factors (age, sex, and work status), higher scores on Past Negative and Future Negative predicted poorer sleep quality and higher levels of daytime sleepiness. Additionally, most of the association between time perspective and daytime sleepiness was accounted for by individual differences in sleep quality. Finally, structural equation modeling yielded results consistent with the hypothesis that variations in sleep mediate part of the negative relationship between DBTP and SWB. Given that good sleep is essential to multiple aspects of health, future studies evaluating relationships between time perspective and adverse health outcomes should consider sleep quality as a potentially contributing factor.

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Section: Discussionsupporting

confidence: 90%

Time Perspective Biases Are Associated With Poor Sleep Quality, Daytime Sleepiness, and Lower Levels of Subjective Well-Being Among Older Adults

Rönnlund

Carelli

2018

Front. Psychol.

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“…14 (see Figure 1). Similar findings have been noted for sleep complaints, 15 with only weak correlations between objective and subjective sleep in older adults. 16 A final consideration is the phenomenon of sleep debt, that is, the difference between the actual amounts of sleep an individual obtains as compared to the amount of sleep that they need.…”

Section: Introductionsupporting

confidence: 86%

Sleep in Older Adults

Gooneratne

Vitiello

2014

Clinics in Geriatric Medicine

155

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1 Synopsis Sleep disorders are common in older adults: Approximately 5% of older adults meet criteria for clinically significant insomnia disorders and 20% for sleep apnea syndromes. When considering insomnia symptoms, it is important to distinguish age-appropriate changes in sleep from clinically significant insomnia, with the latter distinguished by the presence of significant daytime symptoms such as fatigue. Evaluation with a sleep diary and screening for comorbid conditions, especially mood disorders, is essential. Non-pharmacologic therapies, such as cognitive-behavioral therapy for insomnia, can be highly effective and have sustained benefit. A broad range of pharmacologic therapies are also available but can have unwanted psychomotor effects. If left untreated, insomnia can be associated with increased risk of depression and significant impairments in quality of life. In regards to sleep apnea, a high index of suspicion is crucial for effective diagnosis because symptoms commonly noted in younger patients, such as obesity or loud snoring, may not be present in older patients. Diagnosis and management is fairly similar across age groups, except that a more nuanced approach to weight loss is warranted in older adults. The increasing use of home-based portable polysomnography and auto-titrating positive-airway pressure therapy can reduce barriers to treatment.

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“…The purpose of this study was to characterize and compare relationships among sleep, mood, and QOL using both subjective and objective measures of sleep in patients receiving treatment for lung cancer. The authors hypothesized that some discrepancies would exist between objective and subjective measures (Schlesinger, Hering-Hanit, & Dagan, 2001; Vitiello, Larsen, & Moe, 2004), but associations also would exist between objective and subjective measures and that mood disorders and poorer QOL would be highly associated with self-reported sleep disturbance.…”

mentioning

confidence: 99%

Sleep, Mood, and Quality of Life in Patients Receiving Treatment for Lung Cancer

Dean¹,

Redeker²,

Wang³

et al. 2013

Oncology Nursing Forum

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Purpose/Objectives To distinguish relationships among subjective and objective characteristics of sleep, mood, and quality of life (QOL) in patients receiving treatment for lung cancer. Design Descriptive, correlational study. Setting Two ambulatory oncology clinics. Sample 35 patients with lung cancer. Methods The following instruments were used to measure the variables of interest: Pittsburgh Sleep Quality Index (PSQI), Hospital Anxiety and Depression Scale, Functional Assessment of Cancer Treatment–Lung (FACT-L), a sleep diary, and a motionlogger actigraph. Main Research Variables Sleep, mood, and QOL. Findings Significant differences were found between sleep diary and actigraph measures of sleep efficiency (p = 0.002), sleep latency (p = 0.014), sleep duration (p < 0.001), and wake after sleep onset (p < 0.001). Poor sleepers (PSQI score greater than 5) were significantly different from good sleepers (PSQI score of 5 or lower) on sleep diary measures of sleep efficiency and sleep latency and the FACT-L lung cancer symptom subscale, but not on mood or actigraphy sleep measures. Conclusions Although patients with lung cancer may report an overall acceptable sleep quality when assessed by a single question, those same patients may still have markedly increased sleep latencies or reduced total sleep time. The findings indicate the complexity of sleep disturbances in patients with lung cancer. Lung cancer symptoms had a stronger association with sleep than mood. Research using prospective methods will help to elucidate their clinical significance. Implications for Nursing Patients receiving treatment for lung cancer are at an increased risk for sleep disturbances and would benefit from routine sleep assessment and management. In addition, assessment and management of common symptoms may improve sleep and, ultimately, QOL. Knowledge Translation A high frequency of sleep disturbances in patients receiving treatment for lung cancer was evident, and poor sleepers had lower QOL. Sleep disturbances may be more related to lung cancer symptoms than anxiety or depression. Improving lung cancer symptoms such as dyspnea may improve sleep.

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Age-related sleep change

Cited by 277 publications

References 20 publications

Time Perspective Biases Are Associated With Poor Sleep Quality, Daytime Sleepiness, and Lower Levels of Subjective Well-Being Among Older Adults

Time Perspective Biases Are Associated With Poor Sleep Quality, Daytime Sleepiness, and Lower Levels of Subjective Well-Being Among Older Adults

Sleep in Older Adults

Sleep, Mood, and Quality of Life in Patients Receiving Treatment for Lung Cancer

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