Sleep and Quality of Well-Being

Department of Psychiatry, University of California San Diego, USA.
Sleep (Impact Factor: 4.59). 01/2001; 23(8):1115-21.
Source: PubMed


It is commonly believed that sleep duration in the population has been declining gradually. Whereas sleep restriction in the laboratory induces sleepiness and mood disturbances, it is not certain whether a short sleep duration impairs the quality of everyday life.
Using population-based data, we explored whether greater habitual sleep duration is a predictor of better health-related quality of life, measured by the Quality of Well-Being (QWB) scale. The relationships between QWB and several potential correlates were examined in a stepwise linear regression analysis.
Neither subjective nor actigraphic sleep duration were associated with QWB. Greater quality of well-being was associated with greater sleep satisfaction, younger age, less obesity, non-Hispanic White ethnicity, and greater experienced illumination.
These data suggest that increasing sleep duration may not directly improve quality of life, despite evidence that curtailment of nocturnal sleep is associated with fatigue.

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    • "The subjective feeling about insufficient sleep may be as important as true sleep duration or a diagnosed sleep disorder when studying health outcomes of short sleep. It has been observed that the greater the sleep satisfaction, rather than the subjectively or objectively measured sleep duration, the greater the quality of wellbeing is [42], and that self-reported insufficient sleep is related to an unhealthier lifestyle, including physical inactivity [43]. "
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    ABSTRACT: Physical activity (PA) and sleep are related to cardiovascular diseases (CVD) and their risk factors. The interrelationship between these behaviors has been studied, but there remain questions regarding the association of different types of PA, such as occupational, commuting, and leisure time to sleep, including quality, duration and sufficiency. It is also unclear to what extent sleep affects peoples' PA levels and patterns. Our aim is to investigate the interrelationship between PA and sleep behaviors in the Finnish population, including employment status and gender. The study comprised population based data from the FINRISK 2012 Study. A stratified, random sample of 10,000 Finns, 25 to 74 years-old, were sent a questionnaire and an invitation to a health examination. The participation rate was 64% (n = 6,414). Latent class analysis was used to search for different underlying profiles of PA and sleep behavior in men and women, respectively. Models with one through five latent profiles were fitted to the data. Based on fit indicators, a four-class model for men and women, respectively, was decided to be the best fitted model. Four different profiles of PA and sleep were found in both men and women. The most common profile of men comprised 45% of the total participants, and in women, 47%. These profiles were distinguished by probabilities for high leisure time PA and sleep, subjectively rated as sufficient, as well as sleep duration of 7-7.9 hours. The least common profiles represented 5% (men) and 11% (women) of the population, and were characterized by probabilities for physical inactivity, short sleep, and evening type for women and morning type for men. There was also one profile in both genders characterized by likelihood for both high occupational PA and subjectively experienced insufficient sleep. The use of latent class analysis in investigating the interrelationship between PA and sleep is a novel perspective. The method provides information on the clustering of behaviors in people and the profiles found suggest an accumulative nature of leisure time PA, and better sleep. Our data also suggest that high levels of occupational PA are associated with shorter and poorer sleep.
    BMC Public Health 01/2014; 14(1):82. DOI:10.1186/1471-2458-14-82 · 2.26 Impact Factor
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    • "However, our finding that psychomotor slowness was even more pronounced among long sleepers than among short sleepers calls for an explanation. One possible explanation is that long self-reported sleep duration reflects a behaviourally defined long time in bed (Jean-Louis et al., 2000; Kripke, 2004), which, in turn, may reflect a compensatory response to a failure in sleep function(s ). An alternative, but not necessarily exclusionary, explanation is that a long self-reported sleep duration represents a surrogate of pathological processes (Gangwisch et al., 2008), and consequently is a component of the individualÕs subjective symptom formation (Kronholm et al., 2009). "
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    ABSTRACT: Short and long self-reported sleep durations have been found to be associated with several seemingly disparate health risks and impaired functional abilities, including cognitive functioning. The role of long sleep is especially poorly understood in this context. Psychomotor slowness, shown to have analogous associations with cognitive performance and health risks as self-reported long sleep duration, has not been studied together with sleep duration in epidemiological settings. We hypothesized that self-reported habitual sleep duration, especially long sleep, is associated with slow psychomotor reaction time, and that this association is independent of vigilance-related factors. The hypothesis was tested in a sample of 5352 individuals, representing the general adult population. We found a U-shaped association between self-reported sleep duration and psychomotor speed, which prevailed even after controlling for several pertinent confounders. This novel finding can be interpreted to mean that self-reported sleep duration, at least in the case of long sleep, is an indicator of bodily/brain integrity and, taken together with the results of cognitive epidemiology, may provide some new insights into the mechanisms underlying the associations between habitual self-reported sleep duration, health risks and impaired functional abilities.
    Journal of Sleep Research 12/2011; 20(2):288-97. DOI:10.1111/j.1365-2869.2010.00899.x · 3.35 Impact Factor
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    • "Humans spend nearly one third of each day sleeping, and it is a daily process of physiologic restitution and recovery. An epidemiologic study reported a decline in sleep duration over the past few decades by 1.5 to 2 hours [1], with about one third of adults reporting that they sleep less than 6 hours per night, meaning that we live in a sleep-deprived society. U-shaped patterns have been observed for the relationships between sleep duration and all-cause mortality [2] [3] [4], coronary heart disease [5], hypertension [6] [7], obesity [7] [8], and diabetes [9] [10] [11] [12] [13]. "
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    ABSTRACT: U-shaped patterns have been observed for the relationship between sleep duration and diabetes. In addition, prediabetes is associated with the risk of cardiovascular diseases and diabetes. However, there are few studies investigating the relationship between sleep duration and prediabetes/newly diagnosed diabetes. The aim of this study is to examine the relationship between sleep duration and prediabetes/newly diagnosed diabetes in a Taiwanese population. After excluding the subjects with a high risk of obstructive sleep apnea, those with a positive history of diabetes, or those taking hypnotic drugs, a total of 3470 adults were recruited from a health checkup center. Each subject completed a self-administrated structured questionnaire on sleep duration and lifestyle factors. Prediabetes/diabetes was defined following the definition of the American Diabetes Association. Subjects with different sleep durations were classified into short (<6.0 hours), normal (6.0∼8.49 hours), and long sleepers (≥8.5 hours). The proportion of subjects with normal glucose tolerance, prediabetes, and newly diagnosed diabetes was 71.9%, 22.9%, and 5.2%, respectively. There were significant differences in age, sex, weight, education level, body mass index, waist-to-hip ratio, systolic and diastolic blood pressure, alcohol and coffee drinking habits, family history of diabetes, and sleep duration among the 3 glycemic groups. In multinomial regression, both short and long sleepers had a higher risk of newly diagnosed diabetes; and the odds ratio were 1.55 (95% confidence interval, 1.07-2.24) and 2.83 (1.19-6.73), respectively. However, sleep duration was not found to relate to prediabetes. In conclusion, both short and long sleep durations were independently associated with newly diagnosed diabetes, but not with prediabetes.
    Metabolism: clinical and experimental 06/2011; 60(6):799-804. DOI:10.1016/j.metabol.2010.07.031 · 3.89 Impact Factor
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