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Background/objectives: Dynapenic abdominal obesity is characterized by reduced muscle strength and abdominal fat accumulation and is associated with adverse health outcomes in older adults. Evidence from multiple studies conducted in different countries regarding these outcomes is inconsistent. This systematic review and meta-analysis evaluated the association between dynapenic abdominal obesity and adverse health outcomes-specifically falls, disability, and mortality-among middle-aged and older adults.
Methods: A comprehensive search of Embase, PubMed, MEDLINE, CINAHL, and the Cochrane Library (from inception to December 2024) identified 12 eligible prospective cohort studies. Keywords included "older adults", "elderly", "older people", "dynapenic abdominal obesity", "fall", "disability", and "mortality". A systematic review and meta-analysis was conducted using random-effects models, with subgroup analyses based on measurement methods and geographic regions.
Results: Dynapenic abdominal obesity was significantly associated with increased risks of falls (hazard ratio = 1.82, 95% confidence interval: 1.04-3.17) and mortality (hazard ratio = 1.50, 95% confidence interval: 1.14-1.96). The subgroup analysis results indicated variations in outcomes across measurement criteria and countries. Dynapenic abdominal obesity was not significantly associated with disability risk (odds ratio = 0.92, 95% confidence interval: 0.18-4.54).
Conclusions: Dynapenic abdominal obesity is associated with significantly increased fall and mortality risks in middle-aged and older adults. These findings underscore the need for targeted assessments and intervention strategies for high-risk groups.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12027035 | PMC |
http://dx.doi.org/10.3390/healthcare13080916 | DOI Listing |
Clin Nutr
May 2025
Department of Epidemiology, Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; Department of Clinical Epidemiol
Background And Aims: Dynapenic abdominal obesity has been shown as a risk factor for adverse outcomes. There is no evidence on the longitudinal association of this condition with different courses of depressive symptoms. This study aimed to investigate the association of dynapenic abdominal obesity status with the risk of distinct trajectories of depressive symptoms.
View Article and Find Full Text PDFEndocrine
September 2025
Department of Endocrinology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Sci Rep
August 2025
Central Laboratory, Tianjin Fifth Central Hospital (Peking University Binhai Hospital), Tianjin, 300450, China.
Previous studies have shown that diabetes is linked to both low muscle strength and abdominal obesity. However, the combined relationship and synergistic effect on the risk of diabetes in middle-aged and elderly people are still unclear. Using nationally representative data collected between 2011 and 2020 by the China Health and Retirement Longitudinal Study (CHARLS).
View Article and Find Full Text PDFCommun Med (Lond)
July 2025
Research and Development Unit, Parc Sanitari Sant Joan de Déu, Dr. Antoni Pujadas, Sant Boi de Llobregat, Barcelona, Spain.
Background: As far as we are aware, to date, there are no studies on the association between dynapenic abdominal obesity (DAO) and physical multimorbidity (i.e., ≥2 chronic conditions).
View Article and Find Full Text PDFAging Clin Exp Res
July 2025
Research and Development Unit, Parc Sanitari Sant Joan de Déu, Dr. Antoni Pujadas, Sant Boi de Llobregat, Barcelona, Spain.
Objectives: Dynapenic abdominal obesity (DAO) may potentially increase risk for mild cognitive impairment (MCI), but data is scarce, and community-based studies are lacking. Thus, we aimed to investigate the association between DAO and MCI in a large nationally representative community-based sample from six LMICs (China, Ghana, India, Mexico, Russia, South Africa).
Methods: We analyzed cross-sectional data from the Study on Global Ageing and Adult Health.