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Updated: Jan 5, 2026

Frailty Assessment in an Aging Mouse Model
Published on: September 23, 2025
Frailty and the Metabolic Syndrome - Results of the Berlin Aging Study II (BASE-II)
1Nikolaus Buchmann, Universität Greifswald Bereich Geriatrie der Universitätsmedizin Greifswald, Fleischmannstraße 8 17475 Greifswald, Email: Nikolaus.buchmann@uni-greifswald.de, Phone: ++49 3836 257 591, FAX: ++49 3836 257 202.
Background:
Frailty and the metabolic Syndrome (MetS) are frequently found in old subjects and have been associated with increased risk of functional decline and dependency. Moreover, central characteristics of the MetS like inflammation, obesity and insulin resistance have been associated with the frailty syndrome. However, the relationship between MetS and frailty has not yet been studied in detail. Aim of the current analysis within the Berlin Aging Study II (BASE-II) was to explore associations between MetS and frailty taking important co-variables such as nutrition (total energy intake, dietary vitamin D intake), physical activity and vitamin D-status into account.
Methods:
Complete cross-sectional data of 1,486 old participants (50.2% women, 68.7 (65.8-71.3) years) of BASE-II were analyzed. MetS was defined following the joint interim statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity in 2009. Frailty was defined according to the Fried criteria. Limitations in physical performance were assessed via questionnaire, muscle mass was measured using dual energy X-ray absorptiometry (DXA) and grip strength using a Smedley dynamometer. Adjusted regression models were calculated to assess the association between MetS and Frailty.
Results:
MetS was prevalent in 37.6% of the study population and 31.9% were frail or prefrail according to the here calculated frailty index. In adjusted models the odds of being frail/prefrail were increased about 50% with presence of the MetS (OR1.5; 95% CI 1.2,1.9; p= 0.002). Moreover the odds of being prefrail/frail were significantly increased with low HDL-C (OR: 1.5 (95%CI: 1.0-2.3); p = 0.037); and elevated waist circumference (OR: 1.65 (95%CI: 1.1-2.3); p = 0.008).
Conclusion:
The current analysis supports an association between MetS and frailty. There are various metabolic, immune and endocrine alterations in MetS that also play a role in mechanisms underlying the frailty syndrome. To what extent cytokine alterations, inflammatory processes, vitamin D supply and hormonal changes in age and in special metabolic states as MetS influence the development of frailty should be subject of further research.
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