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Published in: BMC Geriatrics 1/2021

Open Access 01-12-2021 | Dementia | Research article

Psychometric properties of the Chinese version of the aging transformation scale for older adults with dementia

Authors: Lai You Li, Ning Sun, Li Bo Yu, Xiao Xin Dong, Yu Chen Ying, Han Jun Lang, Li Heng Zhou

Published in: BMC Geriatrics | Issue 1/2021

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Abstract

Background

The key part of home care services is the assessment of the needs of the home environment for older adults with dementia. The present study was conducted to evaluate the psychometric properties of a newly adapted Chinese version of an instrument designed to measure aging transformation needs among older adults with dementia.

Methods

A sample of 175 older adults with dementia was selected from ten communities in China. The 55-item aging transformation needs scale was answered by the participants. Content validity, Cronbach’s alpha, item-to-total correlation, and exploratory factor analysis were used to assess the reliability and validity of the instrument.

Results

The aging transformation needs scale has a good surface validity, content validity, and structural validity. The content validity was 0.965; 55 items had large factor loads on their corresponding principal components (≥0.5). There was a significant correlation between the aging transformation needs scale and each component (r = 0.897–0.973, all P< 0.01), and 9 components also had a high correlation (r = 765~0.977, all P< 0.01); the total table Cronbach’s α was 0.993, the Cronbach’s α of each constituent factor was 0.944~0.990, and the correlation coefficient between factor and content was > 0.40 (all P< 0.01).

Conclusions

Evidence was found to support the reliability and validity of the aging transformation needs scale that measures the quality of the aging transformation needs for older adults with dementia from an aging transformation needs perspective.
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Metadata
Title
Psychometric properties of the Chinese version of the aging transformation scale for older adults with dementia
Authors
Lai You Li
Ning Sun
Li Bo Yu
Xiao Xin Dong
Yu Chen Ying
Han Jun Lang
Li Heng Zhou
Publication date
01-12-2021
Publisher
BioMed Central
Keywords
Dementia
Dementia
Published in
BMC Geriatrics / Issue 1/2021
Electronic ISSN: 1471-2318
DOI
https://doi.org/10.1186/s12877-020-01977-y

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