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Journal of the American Psychiatric Nurses Association, Vol. 12, No. 5, 286-293 (2006)
DOI: 10.1177/1078390306295071

Predictors of Daytime Sleep of Nursing Home Residents With Dementia

Swarna M. Viegas

Kathy C. Richards

College of Nursing at the University of Arkansas for Medical Sciences, Little Rock; Health Services Research, Geriatric Research, Education, and Clinical Center, Central Arkansas Veterans Affairs Healthcare System, North Little Rock

Cornelia K. Beck

College of Medicine/Department of Geriatrics at the University of Arkansas for Medical Sciences, Little Rock

Corinne W. Lambert

University of Arkansas for Medical Sciences, Little Rock

Patricia S. O'Sullivan

Department of Medicine, and associate director for Educational Research at the Office of Medical Education at the University of California, San Francisco

Catherine S. Cole

College of Nursing at the University of Arkansas for Medical Sciences, Little Rock

Lisa Hutchison

College of Pharmacy at the University of Arkansas for Medical Sciences, Little Rock

Valorie M. Shue

College of Nursing at the University of Arkansas for Medical Sciences, Little Rock

BACKGROUND: Excessive daytime sleep (EDS) in nursing home residents with dementia may lead to decline in cognitive, affective, and functional status. Yet, we know little about predictors of EDS. OBJECTIVES: Describe daytime, nighttime, and 24-hr sleep and determine predictors of daytime sleep among them. STUDY DESIGN: This cross-sectional study of 104 residents from nine nursing homes used actigraphy to measure sleep variables and multiple linear regression to analyze 10 predictor factors (age, gender, body mass index, cognitive function, functional status, comorbidity, psychiatric illness, nighttime sleep minutes, frequency of nighttime awakenings, and number of sedating medications per participant). RESULTS: In this sample, 66% of participants were female octogenarians. On average, they slept 139.0 min (SD ± 113.5) during the day, 340.6 min (SD ± 156.0) at night, and 479.6 min (SD ± 227.1) during 24 hr. Significant predictors of daytime sleep were nighttime sleep minutes (Beta = .34; p < .001), comorbidity (Beta = .24; p < .01), and gender (Beta = .21; p < .05). CONCLUSIONS: Controlling comorbidity may enhance daytime alertness.

Key Words: daytime sleep • napping • nursing homes • dementia • actigraphy

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