Body surface scan anthropometrics are associated with grip strength in the general population.

Nutr Metab Cardiovasc Dis

Institute for Community Medicine, Department SHIP Clinical-Epidemiological Research, University Medicine Greifswald, Greifswald, Germany; DZHK (German Center for Cardiovascular Research), Partner Site Greifswald, Germany. Electronic address:

Published: August 2024

Background And Aim: Body shape and anthropometrics are well-known risk factors for cardiovascular diseases (CVD) and mortality. Hand-grip strength (HGS) is also a meaningful marker of health and a promising predictor of CVD and mortality. There is a lack of studies that have systematically investigated associations between body shape and anthropometrics with HGS. In a population-based study, we investigated if anthropometric markers derived from 3D body scanning are related to HGS.

Methods And Results: We used the data of 1,599 individuals aged 36 to 93 years, who participated in the Study of Health in Pomerania. A total of 87 anthropometric markers, determined by a 3D body scanner, were included in the analysis. Anthropometric measurements were standardized and used as exposure variables. HGS was measured with a hand dynamometer and used as outcome. Sex-stratified linear regression models adjusted for age and height were used to relate standardized anthropometrics and HGS. Anthropometric markers were ranked according to -log-p-values. In men, left and right forearm circumference, left arm length to neck (C7), left forearm length, and forearm-fingertip length were most strongly related to HGS. In women, right forearm circumference, forearm-fingertip length, shoulder breadth, left forearm circumference, and right wrist circumference showed the most significant associations with HGS. The final prediction models contained 13 anthropometric markers in males (R=0.54) and eight anthropometric markers in females (R=0.37).

Conclusions: The identified parameters may help estimate HGS in the clinical setting. However, studies in clinical settings are essential to validating our findings.

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http://dx.doi.org/10.1016/j.numecd.2024.03.020DOI Listing

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