ArticleScientific reports2025
A multicenter cross-sectional study on quality of life and influencing factors in patients with 10 kinds of chronic diseases.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- The semantic differential questionnaire format warrants consideration for use in healthcare settings.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026Article
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7 authors.
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Abstract
Research on QOL of patients with chronic diseases has attracted extensive attention and the QLICD-GM (general module of Quality of Life Instruments for Chronic Diseases) has been used worldwide. To compare QOL in patients with 10 kinds of different chronic diseases, and to explore its socio-demographic influencing factors, so as to provide reference for improving QOL of chronic disease patients. A Multicenter Large Sample Cross-sectional Study with nine hospitals. 1953 patients with 10 kinds of chronic diseases were investigated by a general situation questionnaire, and the QLICD-GM including three domains of physical function (PHD), psychological function (PSD) and social function (SOD). The influencing factors of PHD, PSD, SOD and the overall scale were analyzed by univariate analysis such as t-test or one-way analysis of variance, and multiple linear regressions. The total mean score of QLICD-GM in all chronic diseases was 65.24 ± 13.50;Among three domains, the highest mean score was found in SOD 72.54 ± 15.55, the second highest mean score in PHD was 62.45 ± 15.37, and the lowest mean score in PSD was 62.23 ± 17.79. Marriage, occupation, education, family economic, medical format were main influencing factors of QOL for patients with chronic diseases. QOL of patients with chronic diseases is low. Effective corresponding strategies and targeted management or intervention measures should be taken to improve QOL, and it is important to give personalized treatment and nursing to patients based on various factors.
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