Endocrine Abstracts

JOINT1889

Introduction: Handgrip strength is a widely used method to evaluate muscle strength, a key component of physical fitness. It is well known that low muscle strength is significantly related to early mortality from all causes and cardiovascular disease, as well as greater physical disability.

Objective: To compare the results obtained in the dynamometry of patients with type 1 diabetes mellitus followed at the Hospital de la Axarquía with different reference values (international, European Sarcopenia Consensus values, and reference values from a local study conducted in Pizarra).

Material and Methods: Descriptive cross-sectional observational study in patients with type 1 diabetes mellitus followed at the Hospital de la Axarquía. Clinical data were obtained from the medical history, and dynamometry data were obtained with a Jamar dynamometer. Statistical analysis was performed with the Jamovi program. A low dynamometry value was defined as.

Results: The sample of our study consisted of 134 patients, of which 78 were men (58.2%) and 56 were women (41.8%). The mean age was 45.6 years (±14.4) and the mean BMI was 26.4 kg/m² (±5.01). The mean duration of diabetes was 22.4 years (±13.7 years) and the mean HbA1c was 7.75% (±1.06%). The mean dynamometry value was 41.2 kg (±10.4) in men and 24.9 kg (±6.29) in women. In men, a low dynamometry value was obtained in 7 (9%; with respect to international values), 13 (16.9%; with respect to values from the Pizarra study) or 4 (5.1%; with respect to dynapenia values of the European Consensus). In women, a low dynamometry value was obtained in 8 (14.3%; with respect to international values), 5 (9.1%; with respect to values from the Pizarra study) or 4 (7.1%; with respect to dynapenia values of the European Consensus).

Conclusions: The comparison between the three reference points (international, European Consensus, and Pizarra) reveals differences in the proportion of patients identified with low muscle strength. These differences highlight the importance of choosing appropriate reference points according to the population context.