Identification of Target Body Composition Parameters by Dual-Energy X-Ray Absorptiometry, Bioelectrical Impedance, and Ultrasonography to Detect Older Adults With Frailty and Prefrailty Status Using a Mobile App in Primary Care Services: Descriptive
Body composition variables, particularly WBPhA, LeanM RL, and US, are effective predictors of frailty in older adults. The PowerFrail mobile app, combined with advanced body composition analysis, offers a practical and noninvasive method for early frailty detection in primary care settings. Integrating such technological tools can enhance the early identification and management of frailty, thereby improving health outcomes in the aging population.
Authors
- Margarita Carrillo de Albornoz-Gil (ORCID: https://orcid.org/0000-0001-6115-559X)
- Alejandro Galán-Mercant (ORCID: https://orcid.org/0000-0003-3581-0372)
- José Losa‐Reyna (ORCID: https://orcid.org/0000-0001-9545-5654)
- Jerónimo García-Romero (ORCID: https://orcid.org/0000-0003-1450-3541)
- Verónica Mihaiescu-Ion (ORCID: https://orcid.org/0000-0003-2249-6089)
- Beatriz Ortiz-Navarro
Institutions
- Andalusian Health Service (ES)
- Universidad Rey Juan Carlos (ES)
- Universidad de Cádiz (ES)
- Fundación Pública Andaluza para la Investigación de Málaga en Biomedicina y Salud (ES)
- Centro de Investigación Biomédica en Red (ES)
- Biomedical Research and Innovation Institute of Cadiz (ES)
- Andalusian School of Public Health (ES)
- Universidad de Málaga (ES)
Publication Details
- Journal
- JMIR Aging
- Published
- 2025-05-15
- DOI
- https://doi.org/10.2196/67982
- Citations
- 1
- Primary Topic
- Nutrition and Health in Aging
- Type
- article
- Field-Weighted Citation Impact
- 1.16