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Journal Article
Research Support, Non-U.S. Gov't
Health-related quality of life and mild behavioral impairment in older adults without dementia.
International Journal of Geriatric Psychiatry 2023 September
BACKGROUND: The Mild Behavioral Impairment Checklist (MBI-C) was developed to assess neuropsychiatric symptoms (NPS) and to identify mild behavioral impairment (MBI). This study validated the Taiwanese version of the MBI-C and examined its association of health-related quality of life (HR-QoL).
METHODS: We recruited 242 older individuals without dementia (129 amnestic mild cognitive impairment, 113 cognitively normal). Their family completed the MBI-C, the Neuropsychiatric Inventory Questionnaire (NPI-Q), and instrumental activities of daily living scale. Participants completed the Geriatric Depression Scale (GDS-15), the Mini-Mental State Examination, the 12-item word recall test, the category verbal fluency test and the EuroQol 5 dimensions questionnaire (EQ-5D). Cronbach's α was used to evaluate the internal consistency of the MBI-C. Linear regression models were used to examined the association between MBI-C score and HR-QoL assessed using ED-5D.
RESULTS: The prevalence of MBI was 12% of all participants. Cronbach's α of the MBI-C was 0.893. The optimal cut-off point of MBI-C was 7.5 for identifying MBI, with a sensitivity of 100% and specificity of 85%. The MBI-C total score (β = -0.01, 95% confidence interval [CI] = -0.02 to -0.01, p < 0.001), MBI-C subdomain of decreased motivation (β = -0.04, 95% CI = -0.05 to -0.02, p < 0.001) and emotional dysregulation (β = -0.02, 95% CI = -0.04 to -0.004, p = 0.01) were factors related to EQ-5D index scores.
CONCLUSION: Among older adults without dementia, the Taiwanese version of the MBI-C has good reliability and validity for detecting MBI. The total and subdomains of MBI-C were associated with decreased HR-QoL among individuals without dementia.
METHODS: We recruited 242 older individuals without dementia (129 amnestic mild cognitive impairment, 113 cognitively normal). Their family completed the MBI-C, the Neuropsychiatric Inventory Questionnaire (NPI-Q), and instrumental activities of daily living scale. Participants completed the Geriatric Depression Scale (GDS-15), the Mini-Mental State Examination, the 12-item word recall test, the category verbal fluency test and the EuroQol 5 dimensions questionnaire (EQ-5D). Cronbach's α was used to evaluate the internal consistency of the MBI-C. Linear regression models were used to examined the association between MBI-C score and HR-QoL assessed using ED-5D.
RESULTS: The prevalence of MBI was 12% of all participants. Cronbach's α of the MBI-C was 0.893. The optimal cut-off point of MBI-C was 7.5 for identifying MBI, with a sensitivity of 100% and specificity of 85%. The MBI-C total score (β = -0.01, 95% confidence interval [CI] = -0.02 to -0.01, p < 0.001), MBI-C subdomain of decreased motivation (β = -0.04, 95% CI = -0.05 to -0.02, p < 0.001) and emotional dysregulation (β = -0.02, 95% CI = -0.04 to -0.004, p = 0.01) were factors related to EQ-5D index scores.
CONCLUSION: Among older adults without dementia, the Taiwanese version of the MBI-C has good reliability and validity for detecting MBI. The total and subdomains of MBI-C were associated with decreased HR-QoL among individuals without dementia.
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