Risk Factors and Predictive Models for Sarcopenia in Older Adults
This study identified risk factors and developed predictive models for sarcopenia in older adults, contributing to timely intervention and treatment of the disease. The nomogram provided an intuitive way to measure the probability of sarcopenia in the elderly population, and the decision tree model made the assessment of sarcopenia simple and rapid. Both models are helpful for clinical staff in early screening and identifying sarcopenia.
Authors
- Nina An
- Rui Liu (ORCID: https://orcid.org/0000-0002-2014-180X)
- Weiguo Chen (ORCID: https://orcid.org/0000-0003-1552-0511)
- Lanyu Yang (ORCID: https://orcid.org/0009-0002-2488-2258)
- Shiyuan Zhang (ORCID: https://orcid.org/0000-0002-1123-9821)
- Yongjun Mao (ORCID: https://orcid.org/0000-0003-0359-2876)
- Xue Yang (ORCID: https://orcid.org/0000-0003-1623-4234)
- Song Hu
- Meng Lv
- Feng Wenjing (ORCID: https://orcid.org/0000-0002-4793-1684)
Institutions
- Qingdao University (CN)
- University of Illinois Chicago (US)
- Affiliated Hospital of Qingdao University (CN)
Publication Details
- Journal
- Aging Medicine
- Published
- 2025-04-18
- DOI
- https://doi.org/10.1002/agm2.70012
- Primary Topic
- Nutrition and Health in Aging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Shandong Province
- Marine S&T Fund of Shandong Province