Measurement properties of the Minimal Insomnia Symptom Scale (MISS) in an elderly population in Sweden.
|Document type:||Journal Articles|
|Article type:||Original article|
|Author(s):||Amanda Hellström, Peter Hagell, Cecilia Fagerström, Ania Willman|
|Title:||Measurement properties of the Minimal Insomnia Symptom Scale (MISS) in an elderly population in Sweden.|
|Organization:||Blekinge Institute of Technology|
|Department:||School of Health Science (Sektionen för hälsa)
School of Health Science S-371 79 Karlskrona
+46 455 38 50 00
|Authors e-mail:||email@example.com, firstname.lastname@example.org|
|Abstract:||Background: Insomnia is common among elderly people and associated with poor health. The Minimal Insomnia Symptom Scale (MISS) is a three item screening instrument that has been found to be psychometrically sound and capable of identifying insomnia in the general population (20-64 years). However, its measurement properties have not been studied in an elderly population. Our aim was to test the measurement properties of the MISS among people aged 65 + in Sweden, by replicating the original study in an elderly sample.
Methods: Data from a cross-sectional survey of 548 elderly individuals were analysed in terms of assumptions of summation of items, floor/ceiling effects, reliability and optimal cut-off score by means of ROC-curve analysis and compared with self-reported insomnia criteria.
Results: Corrected item-total correlations ranged between 0.64-0.70, floor/ceiling effects were 6.6/0.6% and reliability was 0.81. ROC analysis identified the optimal cut-off score as ≥7 (sensitivity, 0.93; specificity, 0.84; positive/negative predictive values, 0.256/0.995). Using this cut-off score, the prevalence of insomnia in the study sample was 21.7% and most frequent among women and the oldest old.
Conclusions: Data support the measurement properties of the MISS as a possible insomnia screening instrument for elderly persons. This study make evident that the MISS is useful for identifying elderly people with insomnia-like sleep problems. Further studies are needed to assess its usefulness in identifying clinically defined insomnia.
|Subject:||Nursing & Caring Sciences\General
|Note:||Open access journal|