Identifying combinations of long-term conditions associated with sarcopenia: a cross-sectional decision tree analysis in the UK Biobank study
Knowledge of LTC combinations associated with increased sarcopenia risk could aid the identification of individuals for targeted interventions, recruitment of participants to sarcopenia studies and contribute to the understanding of the aetiology of sarcopenia.
Authors
- Rachel Cooper (ORCID: https://orcid.org/0000-0003-3370-5720)
- Miles D. Witham (ORCID: https://orcid.org/0000-0002-1967-0990)
- Antoneta Granic (ORCID: https://orcid.org/0000-0001-9247-899X)
- Richard Dodds (ORCID: https://orcid.org/0000-0003-4968-7678)
- Avan Aihie Sayer (ORCID: https://orcid.org/0000-0003-1283-6457)
- Susan J. Hillman (ORCID: https://orcid.org/0000-0002-4860-671X)
Institutions
- Cumbria Northumberland Tyne and Wear NHS Foundation Trust (GB)
- Newcastle upon Tyne Hospitals NHS Foundation Trust (GB)
- NIHR Newcastle Biomedical Research Centre (GB)
- Newcastle University (GB)
Publication Details
- Journal
- BMJ Open
- Published
- 2024-09-01
- DOI
- https://doi.org/10.1136/bmjopen-2024-085204
- Citations
- 3
- Primary Topic
- Nutrition and Health in Aging
- Type
- article
- Field-Weighted Citation Impact
- 0.98
Funders
- European Geriatric Medicine Society
- Medical Research Council