Zea Forero Christian Ricardo, Medina-Labrador Manuel, Silva Magda Monroy, Jimenez Jose-Fernando
Department of Industrial Engineering, Pontificia Universidad Javeriana Bogotá D.C., Colombia.
Faculty of Health, Doctoral Program in Ergonomics Universidad del Valle, Cali, Colombia.
Iran J Public Health. 2025 May;54(5):1003-1013. doi: 10.18502/ijph.v54i5.18635.
Handgrip strength (HGS) has been extensively studied for its clinical and industrial significance, often linked to anthropometric measures like height, weight, and hand dimensions. In Colombia, research on these correlations exists but is fragmented and methodologically varied, limiting the ability to generalize findings. This lack of standardization highlights the need for a unified approach. This study aimed to address this gap by analyzing HGS in the Colombian context.
Overall, 678 subjects (48.9% female and 51.1% male) were enrolled in 2022. They were aged between 18 and 63 yr old, apparently healthy, and were from Bogota, Colombia. It was measured using a Jamar dynamometer. To determine the seven variables of the hand, the posture recommended by the ASHT was followed.
Men had significantly higher HGS than women. The dominant hand represents 94.6% of females and 90.5% of males. However, dominance does not have a negative impact on gender when it is analyzed alone. The use of predictive models with cubic regressions permitted us to establish significant variables such as gender and hand width for the right hand and gender, age, hand thickness, and maximum palmar length for the left hand.
The predictive models, the HGS relationship and the dimensions of the hand are evidenced, but in future studies it will be necessary to include the arm, forearm, and wrist sections to the methodology.
握力（HGS）因其临床和工业意义而受到广泛研究，通常与身高、体重和手部尺寸等人体测量指标相关。在哥伦比亚，关于这些相关性的研究存在，但较为零散且方法多样，限制了研究结果的普遍性。这种缺乏标准化的情况凸显了统一方法的必要性。本研究旨在通过分析哥伦比亚背景下的握力来填补这一空白。
2022年共招募了678名受试者（48.9%为女性，51.1%为男性）。他们年龄在18至63岁之间，表面健康，来自哥伦比亚波哥大。使用Jamar测力计进行测量。为确定手部的七个变量，遵循了美国手部治疗师协会（ASHT）推荐的姿势。
男性的握力显著高于女性。优势手在女性中占94.6%，在男性中占90.5%。然而，单独分析时，优势对手性别没有负面影响。使用三次回归预测模型使我们能够确定显著变量，如右手的性别和手宽，以及左手的性别、年龄、手厚度和最大掌长。
证明了预测模型、握力关系和手部尺寸，但在未来研究中，有必要在方法中纳入手臂、前臂和腕部部分。
