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Archives of Physical Medicine and Rehabilitation
Volume 90, Issue 6
, Pages
987-993
, June 2009
Psychometric Properties of a Scale to Assess the Severity of Bathing Disability
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Box plots showing the distribution of scores on the bathing disability scale at 36 and 54 months for the first analytic sample and at 54 and 72 months for the second analytic sample. The lower border,
Box plots showing the distribution of scores on the bathing disability scale at 36 and 54 months for the first analytic sample and at 54 and 72 months for the second analytic sample. The lower border, midline, and upper border of each box represent the twenty-fifth percentile, median, and seventy-fifth percentile scores, respectively. The line from each box extends to the highest score. The “+” denotes the mean score.
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Changes in scores on the bathing disability scale between 36 and 54 months for the first analytic sample and between 54 and 72 months for the second analytic sample. Changes were categorized as none (Changes in scores on the bathing disability scale between 36 and 54 months for the first analytic sample and between 54 and 72 months for the second analytic sample. Changes were categorized as none (0 points) versus small (1−2), moderate (3−5), or large (6 or more) decline or improvement.
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Associations between changes in scores on bathing disability scale and the occurrence of an intervening hospitalization according to the time prior to the follow-up assessment at 54 and 72 months, resAssociations between changes in scores on bathing disability scale and the occurrence of an intervening hospitalization according to the time prior to the follow-up assessment at 54 and 72 months, respectively, for the first and second analytic samples. An intervening hospitalization was defined as a hospital admission that occurred between the specific month and follow-up assessment. Because the 72-month follow-up assessment was delayed for some participants, data points are included at 19 and 20 months for sample 2.
Supported by the Patrick and Catherine Weldon Donaghue Medical Research Foundation (grant no. DF07-009), the National Institute on Aging (grant no. R01AG022993), and a Midcareer Investigator Award in Patient-Oriented Research grant from the National Institute on Aging (grant no. K24AG021507). The study was conducted at the Yale Claude D. Pepper Older Americans Independence Center (grant no. P30AG21342). None of the funding organizations played any role in the design, conduct, or reporting of the study or in the decision to submit the study for publication.
No commercial party having a direct financial interest in the results of the research supporting this article has or will confer a benefit on the authors or on any organization with which the authors are associated.
Reprints are not available from the author.
PII: S0003-9993(09)00186-5
doi: 10.1016/j.apmr.2008.12.021
© 2009 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.
« Previous
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Archives of Physical Medicine and Rehabilitation
Volume 90, Issue 6
, Pages
987-993
, June 2009
