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Validity and reliability of the Brain Health Self-Efficacy Scale for the elderly

BACKGROUND: With the rapid increase in ageing population, China is confronted with the daunting challenge of a growing number of patients with neurocognitive disorders (NCDs). This trend makes the maintenance of self-health and early intervention essential, highlighting the need for a tool that asse...

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Autores principales: Gao, Yining, Cui, Ming, Yang, Chunyan, Wu, Yuejing, Long, Yun, Chen, Yaopian, Liu, Hongshen, Sun, Lin, Yang, Yinghua, Li, Xia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7388878/
https://www.ncbi.nlm.nih.gov/pubmed/32818168
http://dx.doi.org/10.1136/gpsych-2020-100208
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author Gao, Yining
Cui, Ming
Yang, Chunyan
Wu, Yuejing
Long, Yun
Chen, Yaopian
Liu, Hongshen
Sun, Lin
Yang, Yinghua
Li, Xia
author_facet Gao, Yining
Cui, Ming
Yang, Chunyan
Wu, Yuejing
Long, Yun
Chen, Yaopian
Liu, Hongshen
Sun, Lin
Yang, Yinghua
Li, Xia
author_sort Gao, Yining
collection PubMed
description BACKGROUND: With the rapid increase in ageing population, China is confronted with the daunting challenge of a growing number of patients with neurocognitive disorders (NCDs). This trend makes the maintenance of self-health and early intervention essential, highlighting the need for a tool that assesses self-efficacy of older adults in maintaining brain health or cognitive function. AIM: This study aimed to design the Brain Health Self-Efficacy Scale (BHSES) to measure elderly individuals’ attitudes to NCDs, motivations and future plans for controlling risks. The psychometric properties of BHSES have been validated. METHODS: Based on the current literature and relevant models, a 19-item scale was created during the first stage. A total of 660 older adults in the Yinhang community of Shanghai were included. The statistical approaches of item analysis, exploratory factor analysis (EFA), confirmatory factor analysis (CFA), criterion-related validity and reliability test were used to evaluate the quality of BHSES. In addition, the Geriatric Depression Scale (GDS) and the Self-Rating Anxiety Scale (SAS) were used as criteria to test the criterion-related validity. RESULTS: To test item differentiation, the study adopted item analysis and excluded item 8. Selecting a random half of the sample for EFA, the BHSES was refined to 16 items, which were categorised into the following three dimensions: ‘memory belief efficacy’, ‘self-care efficacy’ and ‘future planning efficacy’. These were highly consistent with the hypothesis model. Its cumulative variance contribution rate reached 61.14%, with factor loads of all items above 0.5. The three-factor model was confirmed by the remaining data through CFA. All fit indices reached the acceptable level (χ(2)=3.045, Goodness of Fit Index=0.898, adjusted Goodness of Fit Index=0.863, Comparative Fit Index=0.916, Incremental Fit Index=0.917, Tucker-Lewis Index=0.900, root mean square error of approximation=0.079 and root mean residual=0.068). The GDS and SAS scores revealed significant correlations with the BHSES score, indicating a high criterion-related validity. The overall Cronbach’s α coefficient was 0.793, with the α coefficients’ distribution of subdimensions ranging from 0.748 to 0.883. CONCLUSIONS: The 16-item, self-compiled BHSES is a reliable and valid measurement. It could help identify older adults with potential risks for developing NCDs or with high suspicion of cognitive impairment onset in recent periods and also offer insight into tracking brain health self-efficacy in association with cognition status.
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spelling pubmed-73888782020-08-17 Validity and reliability of the Brain Health Self-Efficacy Scale for the elderly Gao, Yining Cui, Ming Yang, Chunyan Wu, Yuejing Long, Yun Chen, Yaopian Liu, Hongshen Sun, Lin Yang, Yinghua Li, Xia Gen Psychiatr Original Research BACKGROUND: With the rapid increase in ageing population, China is confronted with the daunting challenge of a growing number of patients with neurocognitive disorders (NCDs). This trend makes the maintenance of self-health and early intervention essential, highlighting the need for a tool that assesses self-efficacy of older adults in maintaining brain health or cognitive function. AIM: This study aimed to design the Brain Health Self-Efficacy Scale (BHSES) to measure elderly individuals’ attitudes to NCDs, motivations and future plans for controlling risks. The psychometric properties of BHSES have been validated. METHODS: Based on the current literature and relevant models, a 19-item scale was created during the first stage. A total of 660 older adults in the Yinhang community of Shanghai were included. The statistical approaches of item analysis, exploratory factor analysis (EFA), confirmatory factor analysis (CFA), criterion-related validity and reliability test were used to evaluate the quality of BHSES. In addition, the Geriatric Depression Scale (GDS) and the Self-Rating Anxiety Scale (SAS) were used as criteria to test the criterion-related validity. RESULTS: To test item differentiation, the study adopted item analysis and excluded item 8. Selecting a random half of the sample for EFA, the BHSES was refined to 16 items, which were categorised into the following three dimensions: ‘memory belief efficacy’, ‘self-care efficacy’ and ‘future planning efficacy’. These were highly consistent with the hypothesis model. Its cumulative variance contribution rate reached 61.14%, with factor loads of all items above 0.5. The three-factor model was confirmed by the remaining data through CFA. All fit indices reached the acceptable level (χ(2)=3.045, Goodness of Fit Index=0.898, adjusted Goodness of Fit Index=0.863, Comparative Fit Index=0.916, Incremental Fit Index=0.917, Tucker-Lewis Index=0.900, root mean square error of approximation=0.079 and root mean residual=0.068). The GDS and SAS scores revealed significant correlations with the BHSES score, indicating a high criterion-related validity. The overall Cronbach’s α coefficient was 0.793, with the α coefficients’ distribution of subdimensions ranging from 0.748 to 0.883. CONCLUSIONS: The 16-item, self-compiled BHSES is a reliable and valid measurement. It could help identify older adults with potential risks for developing NCDs or with high suspicion of cognitive impairment onset in recent periods and also offer insight into tracking brain health self-efficacy in association with cognition status. BMJ Publishing Group 2020-07-28 /pmc/articles/PMC7388878/ /pubmed/32818168 http://dx.doi.org/10.1136/gpsych-2020-100208 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Original Research
Gao, Yining
Cui, Ming
Yang, Chunyan
Wu, Yuejing
Long, Yun
Chen, Yaopian
Liu, Hongshen
Sun, Lin
Yang, Yinghua
Li, Xia
Validity and reliability of the Brain Health Self-Efficacy Scale for the elderly
title Validity and reliability of the Brain Health Self-Efficacy Scale for the elderly
title_full Validity and reliability of the Brain Health Self-Efficacy Scale for the elderly
title_fullStr Validity and reliability of the Brain Health Self-Efficacy Scale for the elderly
title_full_unstemmed Validity and reliability of the Brain Health Self-Efficacy Scale for the elderly
title_short Validity and reliability of the Brain Health Self-Efficacy Scale for the elderly
title_sort validity and reliability of the brain health self-efficacy scale for the elderly
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7388878/
https://www.ncbi.nlm.nih.gov/pubmed/32818168
http://dx.doi.org/10.1136/gpsych-2020-100208
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