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Evaluating the associations of consumption of non-red meat protein sources and flavor preferences on sleeping patterns among older adults in China
- Source :
- Sleep and Biological Rhythms. 17:79-92
- Publication Year :
- 2018
- Publisher :
- Springer Science and Business Media LLC, 2018.
-
Abstract
- Non-red meat protein provides essential nutrients to human beings with fewer health burdens. Nevertheless, little is known about the relationships of non-red meat protein sources and flavor preferences with sleeping patterns among the older adults and the oldest-old in China. Using a nationally representative database, the Chinese Longitudinal Healthy Longevity Survey (n = 5241, with 2407 males and 2834 females), older adults’ quality of sleep, daily hours of sleep, and recommended range of sleeping duration (7 to 8 h daily) were studied. Food consumption behaviors included fish, eggs, milk and bean products, nuts, and flavor preferences. Sex-stratified multivariable logistic and ordinary least squares regression models were performed for statistical analyses. Nearly 61% of older adults reported good quality of sleep, but only 39% slept within the recommended hours of sleep daily. In general, less frequent consumption of eggs was associated with lower odds of reporting good quality of sleep among both male and female older adults. Among male participants, monthly consumption of milk products was associated with lower odds of good quality of sleep (Adjusted odds ratio [AOR] = 0.60, 95% CI 0.41, 0.88; p
- Subjects :
- Consumption (economics)
medicine.medical_specialty
Physiology
business.industry
Public health
Odds ratio
Sleep in non-human animals
Odds
03 medical and health sciences
Health psychology
0302 clinical medicine
Neuropsychology and Physiological Psychology
Neurology
Physiology (medical)
medicine
Red meat
China
business
030217 neurology & neurosurgery
Demography
Subjects
Details
- ISSN :
- 14798425 and 14469235
- Volume :
- 17
- Database :
- OpenAIRE
- Journal :
- Sleep and Biological Rhythms
- Accession number :
- edsair.doi...........687fda199e5f08cd1e3f28cafee43c97
- Full Text :
- https://doi.org/10.1007/s41105-018-0187-1