ArticleWork (Reading, Mass.)2024
Exploring anthropometric and functional factors that influence working adult's handgrip strength in north Australia.
Article in Work (Reading, Mass.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Sex hormones and menopause hormone therapy predict muscle strength across the lifespan.Journal of applied physiology (Bethesda, Md. : 1985) · 2026Article
- Use of Handgrip Strength as a Health Indicator in Public Sector Workers: A Cross-Sectional Study.Journal of functional morphology and kinesiology · 2025Article
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3 authors.
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Abstract
backgroundHandgrip strength (HGS) is a reliable assessment of hand function. Interpretation of HGS is commonly done using normative data. Normative HGS data HGS considers the influence of age and gender without adjustment for anthropometric measurements or functional factors known to influence HGS.
objectiveTo determine the potential relationship of select anthropometric measurements (height, weight, hand length and width, forearm length and circumference) and functional factors (hand dominance, work and lifestyle category) to HGS.
methodsThis study included a sample of 119 males and 96 female workers from North Queensland. HGS and six anthropometric measurements were obtained using calibrated instruments and reliable measurement protocols. Age and gender along with three functional factors were documented by self-report.
resultsRight and left mean HGS was greater for individuals who performed heavy/very heavy work (58.1±10.1 kg and 54.1±10.9 kg respectively) compared to light (38.5±12.3 kg and 35.5±11.8 kg) or medium work (44.1±10.8 kg and 40.0±12.9 kg). Mean HGS was greater for individuals who performed heavy/very heavy activity (right 48.5±13.6 kg and left 44.5±13.7 kg) compared to light activity (right 36.3±11.2 kg and left 33.9±11.3 kg) within their lifestyle. HGS positively correlated with gender (p = 0.0001), work (p = 0.001) and anthropometric measurements of forearm circumference (p = 0.001), hand length (p = 0.006) and hand width (p = 0.052).
conclusionsEasy to measure anthropometric measurements of forearm circumference, hand length and width are the strongest predictors of HGS in addition to an individual's physical activity at work and in their lifestyle. Consideration of these factors could lead to improved evaluation of HGS scores.
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