Psychometric properties of the self-care of chronic illness inventory in Chinese older adults with multiple chronic conditions
Abstract
BACKGROUND
Existing self-care measures for the Chinese population are specific to single chronic conditions. No generic self-care measures exist for the Chinese population with multiple chronic conditions.
OBJECTIVES
To test the structural validity, concurrent validity and reliability of the Self-care of Chronic Illness Inventory (SC-CII) in Chinese older adults with multiple chronic conditions.
METHODS
This cross-sectional study was reported following the Strengthening the Reporting of Observational Studies in Epidemiology guideline. A diverse sample of Chinese older adults with multiple chronic conditions (n = 240) was recruited. Structural validity was assessed with confirmatory factor analysis. Concurrent validity was investigated with hypotheses testing of the relationships between perceived stress, resilience and self-care. Reliability was assessed with Cronbach's alpha and McDonald's omega. Finally, a simultaneous confirmatory factor analysis was conducted to test the general model with all items and all three subscales.
RESULTS
Confirmatory factor analysis supported the two-factor structure of the self-care maintenance and self-care management subscales and the one-factor structure of the self-care monitoring subscale. Concurrent validity was supported by the significant negative correlation (r ranged from -0.18 to -0.38, p < .01) with perceived stress and the significant positive correlation (r ranged from 0.31 to 0.47, p < .01) with resilience. Reliability…
How strong is the evidence?
Evidence Hub reads this as a cross-sectional, done in people. Its evidence level is 4 of 5 (Low · observational). Observational designs can show an association but not prove cause. Reported size: 240 participants or records.
Read the paper
Related studies
- eggNOG 5.0: a hierarchical, functionally and phylogenetically annotated orthology resource based on 5090 organisms and 2502 viruses
- Online Survival Analysis Software to Assess the Prognostic Value of Biomarkers Using Transcriptomic Data in Non-Small-Cell Lung Cancer
- OptiType: precision HLA typing from next-generation sequencing data
- Nicotinic Cholinergic System and COVID-19: In Silico Identification of an Interaction between SARS-CoV-2 and Nicotinic Receptors with Potential Therapeutic Targeting Implications
- Saccharomyces cerevisiae cells have three Omega class glutathione S-transferases acting as 1-Cys thiol transferases
- Hemolysis at low blood flow rates: in-vitro and in-silico evaluation of a centrifugal blood pump
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.