The purpose of this study is to explore the self-evaluated sleep quality and its related factors for adults or older in Taiwan. A cross-sectional design and secondary dataset, 2005 Survey of Social Development Trends ? Health and Security were used in this study. The data set was conducted by Directorate General of Budget, Accounting and Statistics, Executive Yuan, R.O.C.
The questionnaire of assessing sleep quality in this study was designed by the WHO worldwide project on sleep and health; it included questions of ?difficulty in falling asleep?, ?waking up frequently during the sleeping?, ?waking up too early in the morning?, and ?insufficient sleeping time?.
This study found that groups of female, age of 65 above (vs. 25-44), widowed (vs. single), illiterate (vs.
elementary school), personal yearly income less than NT$200,000 (vs. NT$400,000-NT$800,000), unemployed and others (vs. employed), regular exercise (vs. not regular), poor self assessed health (vs.
good), obesity (vs. normal), other sleep time (vs. 10PM-12AM), less sleep hours, more daytime sleepiness and bad feeling for personal life are more likely to have night time sleep disturbance; female, age of 25-44 (vs. 65 above), married (vs. single), college and above (vs. illiterate), personal yearly income less than NT$200,000 (vs. NT$400,000-NT$600,000), employed (vs. homemaker), not regular (vs. regular exercise), poor self assessed health (vs. good), normal (vs. obesity), sleep time of 2AM-6AM (vs. 10PM-12AM), less sleep hours, more daytime sleepiness and bad feeling for personal life are more likely to have daytime sequelae of poor sleep.
The results of multiple linear regression could explain 38% of total variance for the model of night time sleep disturbance, and 35% of total variance for the model of daytime sequelae of poor sleep. The study results showed that the main factors affecting sleep quality were daytime sleepiness, self assessed health, personal feelings of life, and hours of sleeping.
This study adds to current knowledge of sleep quality of adults in Taiwan. Policymakers could focus on these significant findings to improve adults? sleep quality, furthermore to enhance their quality of life.
