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


CONCLUSIONS
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.
Unilever R&D, Colworth Science Park, Sharnbrook, Bedfordshire, UK. hasseli57@yahoo.com
Nazanin
N
Haseli-Mashhadi
Tony
T
Dadd
An
A
Pan
Zhijie
Z
Yu
Xu
X
Lin
Oscar H
OH
Franco
D000368:Aged; D015415:Biomarkers / Q000097:blood; D002318:Cardiovascular Diseases / Q000097:blood / Q000453:epidemiology*; D002681:China / Q000453:epidemiology; D008078:Cholesterol, LDL / Q000097:blood; D003430:Cross-Sectional Studies; D005260:Female; D006801:Humans; D007328:Insulin / Q000097:blood; D016015:Logistic Models; D008297:Male; D008659:Metabolic Diseases / Q000097:blood / Q000453:epidemiology*; D008875:Middle Aged; D012307:Risk Factors; D012890:Sleep / Q000502:physiology*; D012893:Sleep Wake Disorders / Q000097:blood* / Q000453:epidemiology*; D011795:Surveys and Questionnaires
D015415:Biomarkers; D008078:Cholesterol, LDL; D007328:Insulin