The application of Pittsburgh sleep quality index to predict quality of life
among Taiwan elderly
Lo, C.; Chen, P.Y.; Lin, J.G.; Liao, W.C.
TAIWAN
Sleep disturbance is a common distress among elderly and may influence quality of
life. However, there is little known what influencing factors of sleep quality can
predict quality of life. The purpose of this study was to explore predictors of quality
of life in terms of sleep quality. Greater than 65 years old 243 retired older adults
were recruited from Tainan city, Taiwan. Data were collected through Pittsburgh
Sleep Quality Index (PSQI) and SF-36 and analyzed by SPSS 12.0. The results have
shown that there were statistically significant in "Sleep disturbances" and "Daytime
dysfunction" aspect to predict quality of life among elderly according to the seven
aspects of PSQI. The regression equation using sleep quality to predict quality of life
in elderly was gained. QOL = 697.9 + (-97.62) * (Sleep disturbances) + (-63.51) *
(Daytime dysfunction). Explained variance achieved to 34%. This finding will help
us promote elderly care and advanced research.
Biosheet
Chyi Lo :Doctor student of Graduate Institute of Chinese Medical Science and
lecturer of school of Nursing,China Medical University
Pei-Yun Chen: RN, Bsn ,Nurse in China Medical University Hospital since 2003 to
2005
Jaung-Geng Lin: Professor of Graduate Institute of Chinese Medical Science,China
Medical University
Wen-Chun Liao:, RN. PhD. Chun Shan Medical Unveristy, School of Nursing,
Taichung, Taiwan.
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