Is there a difference between handgrip strength and biochemical markers in rural workers?
Abstract
Introduction: Handgrip Strength (HGS) can predict various biomarkers, such as muscle levels, nutritional status, physical activity level, and cardiovascular diseases. Objective: To analyze the difference in HGS levels based on biochemical markers among rural workers. Materials e methods: A cross-sectional, analytical, and descriptive study conducted between 2022 and 2023 with rural workers. Glucose and cholesterol levels were obtained through blood tests, and HGS was measured using a hand-held dynamometer with three measurements per hand. Participants were divided into groups according to diabetes classification (No diabetes - ND and With diabetes - WD) and cholesterol levels (Desirable - D and Not desirable - ND). Statistical analysis was performed using SPSS software, with the Shapiro-Wilk test for normality and Student’s t-test (parametric data) or Mann-Whitney U test (non-parametric data), with significance set at p ≤ 0.05. Results: The sample consisted of 110 rural workers, with 93 allocated to the ND group and 17 to the WD group. When glucose, age, and HGS of the left hand were analyzed, no statistical difference was found between the groups. Glucose (p<0.001) and HGS of the right hand (p=0.020) showed significance between the groups. Regarding total cholesterol, the D group had 36 individuals, while the ND group had 74. Only total cholesterol showed a statistical difference (p<0.001). Conclusion: There was no difference between HGS and total cholesterol, but HGS of the right hand showed a significant difference between the groups.
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