Abstract
Background: negative mood is an important construct when assessing the health of older persons. The profile of mood states questionnaire is commonly used to measure mood; however, it might not be suitable for older adults with low education level and those who are not originated North American.Objective: to examine a negative mood scale formed by nine items in the Mood Section of the Minimum Data Set-Home Care of the Resident Assessment Instrument. Methods: a secondary analysis of data from 3,523 older persons aged 60 or over who had first applied for the long-term care services in Hong Kong and completed the screening tool in 2006. Exploratory and confirmatory factor analyses were used to test the factor structure and multiple-group confirmatory factor analysis to test the gender invariance of the Negative Mood Scale in the Minimum Data Set-Home Care. Its reliability using Cronbach's alpha was examined. Results: both a three-factor model at the first level and a one-factor model at the second level provided excellent fits to the overall data, and held equally well for both males and females, and two randomly split samples. Multiple-group confirmatory factor analyses revealed both genders demonstrating an equivalent pattern of factor loadings. Cronbach's alpha value was acceptable for the overall data (0.66). Conclusions: the Negative Mood Scale is a reliable and valid scale and both genders responded to it using the same framework and metric, suggesting it could be used to measure negative mood in Chinese community-dwelling older adults. Further testing of the instrument is needed.
| Original language | English |
|---|---|
| Article number | afr157 |
| Pages (from-to) | 317-322 |
| Number of pages | 6 |
| Journal | Age and Ageing |
| Volume | 41 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 1 May 2012 |
| Externally published | Yes |
Keywords
- Chinese community dwellers
- Confirmatory factor analysis
- Elderly
- Minimum Data Set-Home Care
- Negative mood
- Reliability
ASJC Scopus subject areas
- Ageing
- Geriatrics and Gerontology
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