Abstract
Background: 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.
Methods: 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.
Results: 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.
Conclusion: 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.
Methods: 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.
Results: 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.
Conclusion: 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.
| Original language | English |
|---|---|
| Article number | 5 |
| Pages (from-to) | 1003-1013 |
| Number of pages | 11 |
| Journal | IRANIAN JOURNAL OF PUBLIC HEALTH |
| Volume | 54 |
| Issue number | 5 |
| State | Published - 01 May 2025 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 3 Good Health and Well-being
Keywords
- Dynamometry
- Hand anthropometry
- Handgrip strength
Fingerprint
Dive into the research topics of 'An Analysis of Hand Size and Grip Strength in a Working Population in Bogotá, Colombia'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver