ArticleNursing open2023
Prediction of physiological state, cognition, sensory function, and biomarkers for frailty in patients aged 55 years or more with schizophrenia.
Article in Nursing open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed, 8 citations in OpenAlex.
- Smartphone video games effectively improve cognitive function in middle-aged and elderly patients with chronic schizophrenia: a randomized clinical trial.Translational psychiatry · 2025Trial
- The health-driven security for older adults with partial dependency in activities of daily living who experience loneliness: a research and development.BMC geriatrics · 2025Article
- Hepatic function is associated with cognitive function in patients with stable schizophrenia.BMC psychiatry · 2025Article
- Accelerated pace of frailty in patients with schizophrenia.The journal of nutrition, health & aging · 2025Article
- Prediction of physiological state, cognition, sensory function, and biomarkers for frailty in patients aged 55 years or more with schizophrenia.Nursing open · 2023Article
Corrections and comments
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Authors and funding
3 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimWe explored the performance of demographic characteristics, physiological state, cognitive function, sensory function, and biomarkers when used as predictors of frailty for patients with schizophrenia.
designA cross-sectional study design was adopted.
methodsDemographic 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.
resultsThe 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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Registered trials
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