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Prediction of physiological state, cognition, sensory function, and biomarkers for frailty in patients aged 55 years or more with schizophrenia

AIM: We explored the performance of demographic characteristics, physiological state, cognitive function, sensory function, and biomarkers when used as predictors of frailty for patients with schizophrenia. DESIGN: A cross‐sectional study design was adopted. METHODS: Demographic data and data on phy...

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Autores principales: Tsai, Hsiao‐Chi, Wu, Li‐Hui, Chang, Shu‐Fang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10333887/
https://www.ncbi.nlm.nih.gov/pubmed/37038658
http://dx.doi.org/10.1002/nop2.1741
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author Tsai, Hsiao‐Chi
Wu, Li‐Hui
Chang, Shu‐Fang
author_facet Tsai, Hsiao‐Chi
Wu, Li‐Hui
Chang, Shu‐Fang
author_sort Tsai, Hsiao‐Chi
collection PubMed
description AIM: We explored the performance of demographic characteristics, physiological state, cognitive function, sensory function, and biomarkers when used as predictors of frailty for patients with schizophrenia. DESIGN: A cross‐sectional study design was adopted. METHODS: Demographic data and data on physiological state, cognitive function, sensory function, biochemical indices, and frailty status of patients with schizophrenia were collected. The data were analysed using descriptive statistics, a chi‐square test, one‐factor analysis of variance, and logistic regression. RESULTS: The results revealed that frailty was prevalent among patients with lower educational attainment, longer hospital stay, higher skeletal muscle mass, higher basal metabolic rate, lower cognitive function, the use of tranquillisers and sleeping pills, and the use of assistive equipment as well as having fallen in the past year. In addition, cognitive function (p < 0.05), use of a wheelchair (p < 0.05), and use of an assistive walker (p < 0.001) were used as predictors of frailty condition of patients with schizophrenia. PATIENT CONTRIBUTION: Patients with schizophrenia have higher risk of having complications than patients with other chronic illnesses. Therefore, medical staff should regularly assess the levels of frailty risk to help patients with schizophrenia.
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spelling pubmed-103338872023-07-12 Prediction of physiological state, cognition, sensory function, and biomarkers for frailty in patients aged 55 years or more with schizophrenia Tsai, Hsiao‐Chi Wu, Li‐Hui Chang, Shu‐Fang Nurs Open Empirical Research Quantitative AIM: We explored the performance of demographic characteristics, physiological state, cognitive function, sensory function, and biomarkers when used as predictors of frailty for patients with schizophrenia. DESIGN: A cross‐sectional study design was adopted. METHODS: Demographic data and data on physiological state, cognitive function, sensory function, biochemical indices, and frailty status of patients with schizophrenia were collected. The data were analysed using descriptive statistics, a chi‐square test, one‐factor analysis of variance, and logistic regression. RESULTS: The results revealed that frailty was prevalent among patients with lower educational attainment, longer hospital stay, higher skeletal muscle mass, higher basal metabolic rate, lower cognitive function, the use of tranquillisers and sleeping pills, and the use of assistive equipment as well as having fallen in the past year. In addition, cognitive function (p < 0.05), use of a wheelchair (p < 0.05), and use of an assistive walker (p < 0.001) were used as predictors of frailty condition of patients with schizophrenia. PATIENT CONTRIBUTION: Patients with schizophrenia have higher risk of having complications than patients with other chronic illnesses. Therefore, medical staff should regularly assess the levels of frailty risk to help patients with schizophrenia. John Wiley and Sons Inc. 2023-04-10 /pmc/articles/PMC10333887/ /pubmed/37038658 http://dx.doi.org/10.1002/nop2.1741 Text en © 2023 The Authors. Nursing Open published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Empirical Research Quantitative
Tsai, Hsiao‐Chi
Wu, Li‐Hui
Chang, Shu‐Fang
Prediction of physiological state, cognition, sensory function, and biomarkers for frailty in patients aged 55 years or more with schizophrenia
title Prediction of physiological state, cognition, sensory function, and biomarkers for frailty in patients aged 55 years or more with schizophrenia
title_full Prediction of physiological state, cognition, sensory function, and biomarkers for frailty in patients aged 55 years or more with schizophrenia
title_fullStr Prediction of physiological state, cognition, sensory function, and biomarkers for frailty in patients aged 55 years or more with schizophrenia
title_full_unstemmed Prediction of physiological state, cognition, sensory function, and biomarkers for frailty in patients aged 55 years or more with schizophrenia
title_short Prediction of physiological state, cognition, sensory function, and biomarkers for frailty in patients aged 55 years or more with schizophrenia
title_sort prediction of physiological state, cognition, sensory function, and biomarkers for frailty in patients aged 55 years or more with schizophrenia
topic Empirical Research Quantitative
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10333887/
https://www.ncbi.nlm.nih.gov/pubmed/37038658
http://dx.doi.org/10.1002/nop2.1741
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