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  • 1.
    Hellström, Amanda
    et al.
    Blekinge Institute of Technology, Faculty of Health Sciences, Department of Health.
    Hellström, Patrik
    Willman, Ania
    Blekinge Institute of Technology, Faculty of Health Sciences, Department of Health.
    Fagerström, Cecilia
    Blekinge Institute of Technology, Faculty of Health Sciences, Department of Health.
    Association between Sleep Disturbances and Leisure Activities in the Elderly: A Comparison between Men and Women.2014In: Sleep Disorders, ISSN 2090-3545, E-ISSN 2090-3553, Vol. 2014, no Article ID 595208Article in journal (Refereed)
    Abstract [en]

    It has been suggested that physical or social activity is associated with fewer sleep disturbances among elderly people. Women report more sleep disturbances than men, which could indicate a variation in activity patterns between the genders. The aim of this study was to investigate associations between sleep disturbances and leisure activities in men and women (n = 945) aged ≥60 years in a Swedish population. Sleep disturbances were measured using eight dichotomous questions and seventeen variables, covering a wide range of leisure activities. Few leisure activities were found to be associated with sleep disturbances and their importance decreased when the models were adjusted for confounders and gender interactions. After clustering the leisure activities and investigating individual activities, socio-intellectual activities were shown to be significant for sleep. However, following adjustment for confounders and gender interactions, home maintenance was the only activity significant for sleep. Being a female increased the effect of home maintenance. Besides those leisure activities, poor/fair self-rated health (OR 7.50, CI: 4.27-11.81) and being female (OR 4.86, CI: 2.75-8.61) were found to have the highest association with poor sleep. Leisure activities pursued by elderly people should focus on activities of a socio-intellectual nature, especially among women, to promote sleep.

  • 2. Westergren, Albert
    et al.
    Broman, Jan-Erik
    Hellström, Amanda
    Blekinge Institute of Technology, Faculty of Health Sciences, Department of Health.
    Fagerstrom, Cecilia
    Blekinge Institute of Technology, Faculty of Health Sciences, Department of Health.
    Willman, Ania
    Blekinge Institute of Technology, Faculty of Health Sciences, Department of Health.
    Hagell, Peter
    Measurement properties of the Minimal Insomnia Symptom Scale as an insomnia screening tool for adults and the elderly2015In: Sleep Medicine, ISSN 1389-9457, E-ISSN 1878-5506, Vol. 16, no 3, p. 379-384Article in journal (Refereed)
    Abstract [en]

    Background: The psychometric properties of the three-item Minimal Insomnia Symptom Scale (MISS) were evaluated using the classical test theory. Different cut-offs for identifying insomnia were suggested in two age groups (>= 6 and >= 7 among adult and elderly people, respectively). The aim of the present study was to test the measurement properties of the MISS using the Rasch measurement model, with special emphasis on differential item functioning by gender and age. Methods: Cross-sectional MISS data from adult (age 20-64 years, n = 1075) and elderly (age 65+, n = 548) populations were analysed using the Rasch measurement model. Results: Data generally met Rasch model requirements and the scale could separate between two distinct groups of people. Differential item functioning was found by age but not gender. The difference between the adult and elderly samples was lower for the originally recommended >= 6 points cut-off (0.09 logits) than for the >= 7 points cut-off (0.23 logits), but greater at the lower and higher ends of the scale. Conclusions: This study provides general support for the measurement properties of the MISS. Caution should be exercised in comparing raw MISS scores between age groups, but applying a = 6 cut-off appears to allow for valid comparisons between adults and the elderly regarding the presence of insomnia. Nevertheless, additional studies are needed to determine the clinically optimal cut-score for identification of insomnia. (C) 2014 Elsevier B.V. All rights reserved.

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