What are the key findings of this study?

Short sleep duration ( 9 hours of sleep (OR 0.10).

What is the clinical evidence from this study?

Study design: Cross-Sectional. Population: Sleep quality (n=3289). Intervention: Short sleep duration ( 9 hours sleep duration. Primary outcome: Good sleep quality (OR 0.10, 95% CI 0.07-0.14, p=<0.05).

What does this research mean for the field?

Short sleep duration (<7 hours) substantially decreases the likelihood of reporting good sleep quality, and sleep quality is significantly associated with cardio-metabolic risk factors such as insulin resistance and elevated cholesterol in middle-aged and elderly Chinese populations. Novelty: ClaimNovelty.CONFIRMATORY. Consensus alignment: ConsensusAlignment.NEUTRAL.

May 9, 2009BMC Public Health114 citationsOpen Access

Sleep quality in middle-aged and elderly Chinese: distribution, associated factors and associations with cardio-metabolic risk factors

NHNazanin Haseli-Mashhadi TDTony Dadd APAn Pan

Key Result

Short sleep duration (<7 hours) substantially decreased the likelihood of reporting good sleep quality compared to >9 hours of sleep (OR 0.10).

Study Design

Type

Cross-Sectional (n=3,289)

Multicenter

Yes

Structured PICO

Population

3,289 subjects (1,458 men and 1,831 women) aged 50 to 70 years from urban and rural areas of Beijing and Shanghai, China.

Outcome

Distribution of sleep quality, associated factors, and associations with cardio-metabolic risk factors (plasma insulin, total and LDL cholesterol, index of insulin resistance).patient reported

In middle-aged and elderly Chinese populations, good sleep quality is reported by only about half of individuals and is significantly associated with gender, geographical location, self-rated health, depression, sleep quantity, and cardio-metabolic biomarkers.

Main Result

Effect estimate: OR 0.10 (95% CI 0.07-0.14)

p-value: p=<0.05

Limitations

Cross-sectional nature of the data limits causal inference.
Sleep patterns were measured using a self-reported questionnaire, which may be affected by recall bias.
The questionnaire used was not as thorough as alternative validated questionnaires designed to evaluate sleep disturbances.

Abstract

BACKGROUND: Poor sleep quality has been associated with increased risk of heart disease, diabetes and mortality. However, limited information exists on the distribution and determinants of sleep quality and its associations with cardio-metabolic risk factors in Chinese populations. We aimed to evaluate this in the current study. METHODS: A cross-sectional survey conducted in 2005 of 1,458 men and 1,831 women aged 50-70 years from urban and rural areas of Beijing and Shanghai. Using a questionnaire, sleep quality was measured in levels of well, common and poor. Comprehensive measures of socio-demographical and health factors and biomarkers of cardio-metabolic disease were recorded. These were evaluated in association with sleep quality using logistic regression models. RESULTS: Half of the population reported good sleep quality. After adjusting for potential confounders, women and Beijing residents had almost half the probability to report good sleep quality. Good physical and mental health (good levels of self-rated health (OR 2.48; 95%CI 2.08 to 2.96) and no depression (OR 4.05; 95%CI 3.12 to 5.26)) related to an increased chance of reporting good sleep quality, whereas short sleep duration (<7 hrs OR 0.10; 95%CI 0.07 to 0.14)) decreased it substantially. There were significant associations between levels of sleep quality and concentrations of plasma insulin, total and LDL cholesterol, and index of insulin resistance. CONCLUSION: Levels of good sleep quality in middle-age and elderly Chinese were low. Gender, geographical location, self-rated health, depression and sleep quantity were major factors associated with sleep quality. Prospective studies are required to distil the factors that determine sleep quality and the effects that sleep patterns exert on cardio-metabolic health.

Ask AI

Helpful

Bookmark

View Full Paper