Development and validation of knowledge assessment scales on sarcopenia and fall for Chinese community-dwelling older adults
Lingqi Li
Xiangya School of Public Health, Central South University, Changsha, China
Search for more papers by this authorXuemei Sun
Xiangya School of Public Health, Central South University, Changsha, China
Search for more papers by this authorYinyan Gao
Xiangya School of Public Health, Central South University, Changsha, China
Search for more papers by this authorYancong Chen
Changsha Municipal Center for Disease Control and Prevention, Changsha, China
Search for more papers by this authorLang Qin
Xiangya School of Public Health, Central South University, Changsha, China
Search for more papers by this authorYali Lin
Xiangya School of Public Health, Central South University, Changsha, China
Search for more papers by this authorJinlu Song
Xiangya School of Public Health, Central South University, Changsha, China
Search for more papers by this authorZixuan Zhang
Xiangya School of Public Health, Central South University, Changsha, China
Search for more papers by this authorBetty H Wang
Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China
Search for more papers by this authorHui Feng
Xiangya Nursing School, Central South University, Changsha, China
Search for more papers by this authorHongzhuan Tan
Xiangya School of Public Health, Central South University, Changsha, China
Search for more papers by this authorQiong Chen
Xiangya Hospital of Central South University, Changsha, China
Search for more papers by this authorLinlin Peng
Xiangya Hospital of Central South University, Changsha, China
Search for more papers by this authorXuewei Zhang
Health Management Center, Xiangya Hospital, Central South University, Changsha, China
Center for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, China
National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
Search for more papers by this authorCorresponding Author
Irene XY Wu
Xiangya School of Public Health, Central South University, Changsha, China
Hunan Provincial Key Laboratory of Clinical Epidemiology, Changsha, China
Correspondence
Irene XY Wu PhD, Xiangya School of Public Health, Central South University, 5/F, No. 238, Shang ma yuan ling Alley, Kaifu District, Changsha, Hunan, China.
Email: [email protected]
Search for more papers by this authorLingqi Li
Xiangya School of Public Health, Central South University, Changsha, China
Search for more papers by this authorXuemei Sun
Xiangya School of Public Health, Central South University, Changsha, China
Search for more papers by this authorYinyan Gao
Xiangya School of Public Health, Central South University, Changsha, China
Search for more papers by this authorYancong Chen
Changsha Municipal Center for Disease Control and Prevention, Changsha, China
Search for more papers by this authorLang Qin
Xiangya School of Public Health, Central South University, Changsha, China
Search for more papers by this authorYali Lin
Xiangya School of Public Health, Central South University, Changsha, China
Search for more papers by this authorJinlu Song
Xiangya School of Public Health, Central South University, Changsha, China
Search for more papers by this authorZixuan Zhang
Xiangya School of Public Health, Central South University, Changsha, China
Search for more papers by this authorBetty H Wang
Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China
Search for more papers by this authorHui Feng
Xiangya Nursing School, Central South University, Changsha, China
Search for more papers by this authorHongzhuan Tan
Xiangya School of Public Health, Central South University, Changsha, China
Search for more papers by this authorQiong Chen
Xiangya Hospital of Central South University, Changsha, China
Search for more papers by this authorLinlin Peng
Xiangya Hospital of Central South University, Changsha, China
Search for more papers by this authorXuewei Zhang
Health Management Center, Xiangya Hospital, Central South University, Changsha, China
Center for Medical Genetics & Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, China
National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
Search for more papers by this authorCorresponding Author
Irene XY Wu
Xiangya School of Public Health, Central South University, Changsha, China
Hunan Provincial Key Laboratory of Clinical Epidemiology, Changsha, China
Correspondence
Irene XY Wu PhD, Xiangya School of Public Health, Central South University, 5/F, No. 238, Shang ma yuan ling Alley, Kaifu District, Changsha, Hunan, China.
Email: [email protected]
Search for more papers by this authorAbstract
Aim
This study aimed to develop and validate sarcopenia and fall knowledge assessment scales for community-dwelling older adults.
Methods
A five-phase, systematic and standardized process was used. Phase 1: item pools were constructed based on the Symptom Interpretation Model. Phase 2: the Delphi expert consultation was carried out for items selection and revision. Phase 3: a pilot survey was carried out to further select and revise the items. Phase 4: older adults were surveyed to finalize the items. Phase 5: older adults were surveyed to test the psychometric properties of the two developed scales, including construct validity, reliability and acceptability.
Results
Both scales comprise three dimensions (symptom, risk factor and management strategy), with 10 items for the sarcopenia knowledge assessment scale and 14 items for the fall knowledge assessment scale. They had acceptable construct validity, with all indicators meeting their specific criteria. Their reliability was acceptable, with the Cronbach's α coefficients being 0.82 for both scales, the value of spilt-half reliability being 0.86 for the sarcopenia knowledge assessment scale and 0.85 for the fall knowledge assessment scale. Their acceptability was good, with both scales having a completion rate of 94.35% and an average completion time of 5 min.
Discussion
Two Chinese knowledge assessment scales with acceptable validity, reliability and acceptability have been developed, which will facilitate the assessment of the knowledge on sarcopenia and fall among community-dwelling older adults, especially for large-scale surveys. Geriatr Gerontol Int 2023; 23: 430–436.
Open Research
Data availability statement
The data are available from the corresponding author upon reasonable request. This study was not preregistered.
Supporting Information
| Filename | Description |
|---|---|
| ggi14596-sup-0001-Supinfo.docxWord 2007 document , 284 KB | Table S1. The method of assignment of expert judgment justification. Table S2. Item pool of the sarcopenia knowledge assessment scale. Table S3. Item pool of the fall knowledge assessment scale. Table S4. Characteristics of consulted experts. Figure S1. Flowchart of the expert consultation. Table S5. The first round of expert consultation on the sarcopenia knowledge assessment scale. Table S6. The second round of expert consultation on the sarcopenia knowledge assessment scale. Table S7. The third round of expert consultation on the sarcopenia knowledge assessment scale. Table S8. The first round of expert consultation on the fall knowledge assessment scale. Table S9. The second round of expert consultation on the fall knowledge assessment scale. Table S10. The third round of expert consultation on the fall knowledge assessment scale. Table S11. Pilot survey of the sarcopenia knowledge assessment scale. Table S12. Pilot survey of the fall knowledge assessment scale. Table S13. Characteristics of the study participants for the sarcopenia knowledge assessment scale. Table S14. Characteristics of the study participants for the fall knowledge assessment scale. Table S15. Explained variance of each factor and cumulative explained variance. Table S16. Final version of the sarcopenia knowledge assessment scale. Table S17. Final version of the fall knowledge assessment scale. Table S18. The indexes of model fit in confirmatory factor analysis. Figure S2. The standardized path diagrams of the confirmatory factor model for the sarcopenia knowledge assessment scale. Figure S3. The standardized path diagrams of the confirmatory factor model for the fall knowledge assessment scale. |
Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.
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