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Open AccessJournal ArticleDOI

Relationships between self-rated health, quality of life and sleep duration in middle aged and elderly Australians.

TLDR
Short and long sleep were significantly associated with poor self-rated health and lower quality of life in this large sample of middle aged and older Australian adults, adding weight to recent data emphasising the importance of adequate sleep in physical and mental health.
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This article is published in Sleep Medicine.The article was published on 2011-04-01 and is currently open access. It has received 145 citations till now. The article focuses on the topics: Self-rated health & Quality of life (healthcare).

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Citations
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Journal ArticleDOI

Variability of sleep duration is related to subjective sleep quality and subjective well-being : An actigraphy study

TL;DR: The findings show that great day-to-day variability in sleep duration – more than averageSleep duration – is related to poor subjective sleep quality and poor subjective well-being.
Journal ArticleDOI

Short sleep duration is associated with hypertension risk among adults: a systematic review and meta-analysis.

TL;DR: The present meta-analysis indicated that short sleep duration was associated with an increased risk of hypertension in the overall polulation and incident hypertension among subjects younger than 65 years and long sleep duration might be associated with a risk of prevalent hypertension.
Journal ArticleDOI

Sleep duration and all-cause mortality: a critical review of measurement and associations

TL;DR: It is premature to conclude, as previous reviews have, that a robust, U-shaped association between sleep duration and mortality risk exists across populations, but careful attention must be paid to measurement, response bias, confounding, and reverse causation in the interpretation of associations between sleepduration and mortality.
Journal ArticleDOI

Does access to neighbourhood green space promote a healthy duration of sleep? Novel findings from a cross-sectional study of 259 319 Australians.

TL;DR: Green space planning policies may have wider public health benefits than previously recognised and further research in the role of green spaces in promoting healthier sleep durations and patterns is warranted.
References
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Journal ArticleDOI

Short screening scales to monitor population prevalences and trends in non-specific psychological distress.

TL;DR: The brevity, strong psychometric properties, and ability to discriminate DSM-IV cases from non-cases make the K10 and K6 attractive for use in general-purpose health surveys.
Book

Principles and Practice of Sleep Medicine

TL;DR: Part 1: Normal Sleep and Its Variations; Part 2: Abnormal Sleep.
Journal ArticleDOI

A critical appraisal of the quality of quality-of-life measurements

TL;DR: To evaluate how well quality of life is being measured in the medical literature and to offer a new approach to the measurement, original English-language articles having the term "quality of life" in their titles were identified.
Journal ArticleDOI

Mortality prediction with a single general self-rated health question. A meta-analysis.

TL;DR: In this article, the authors conducted a systematic review of the association between a single item assessing general self-rated health (GSRH) and mortality and found that persons with poor self-reported health had a 2-fold higher mortality risk compared with persons with "excellent" health status, even after adjustment for key covariates such as functional status, depression, and co-morbidity.
Journal ArticleDOI

Self-reported and measured sleep duration: how similar are they?

TL;DR: In a population-based sample of middle-aged adults, subjective reports of habitual sleep are moderately correlated with actigraph-measured sleep, but are biased by systematic over-reporting.
Related Papers (5)
Frequently Asked Questions (11)
Q1. What contributions have the authors mentioned in the paper "Relationships between self-rated health, quality of life and sleep duration in middle aged and elderly australians" ?

In this paper, the authors examined the relationship between sleep duration and self-rated health in a large Australian sample of middle aged and elderly adults. 

Short sleep may also lead to a number of adverse physiological changes (e.g., impaired glucose tolerance, inflammation), which increase the risks of chronic conditions such as diabetes, obesity and hypertension [32], [33] and [34]. 

Participants’ scores on this scale were coded as low emotional disturbances (<16), moderate emotional disturbances (16–21) and high/very high emotional disturbances (22–50) [31]. 

Additional demographic variables such as sex, place of residence, country of birth, education level, and marital status were also measured and included in the analyses. 

Body mass index (BMI) was determined from self-reported height and weight; participants were categorised as lean (BMI: 18.5–24.9), overweight (BMI: 25.0–29.9) or obese (BMI: ≥ 30). 

In the adjusted analyses, sleep duration was entered alongside socio-demographic factors (age, sex, country of birth, education level, marital status, work hours, place of residence), health-related behaviours (alcohol consumption and smoking status), chronic health conditions (obesity, cancer, heart disease, diabetes and stroke) and emotional disturbances (as assessed by the Kessler Psychological Distress Scale). 

Short sleep could contribute to poor SRH and QOL by impairing mood and cognitive functioning or because of an increase in fatigue. 

Self-rated health status as a health measure: the predictive value of self-reported health status on the use of physician services and on mortality in the working-age population. 

Short and long sleep were associated with poorer SRH in the 75–84 year age group in the unadjusted analyses, but only long sleep significantly predicted poor SRH in the adjusted analyses. 

The largest of these studies was conducted on a sample of 17,465 university students from 24 countries, where short sleep (but not long sleep) was found to be associated with poor SRH [21]. 

This was preferred over binary logistic regression as more detailed information regarding categorical covariates can be obtained without dummy coding.