{Reference Type}: Journal Article
{Title}: Anthropometric dataset for the German working-age population using 3D body scans from a regional epidemiological health study and a weighting algorithm.
{Author}: Bonin D;Ackermann A;Radke D;Peters M;Wischniewski S;
{Journal}: Ergonomics
{Volume}: 66
{Issue}: 8
{Year}: Aug 2023 4
{Factor}: 2.561
{DOI}: 10.1080/00140139.2022.2130440
{Abstract}: For the ergonomic design of workplaces and products, a representative anthropometric dataset of the working-age population is needed. As body proportions are constantly changing and the latest publicly available dataset for Germany was published in 2004 (data collection period 1999-2002), the aim of this study was to create and publish an updated anthropometric dataset of the German working-age population. Within a regional epidemiological health study, 3D body scan data from 2313 subjects were collected and used to create an anthropometric dataset with a total of 39 ISO 7250-1 measures. To approximate the goal of generating representative values for Germany, the collected regional dataset was weighted with an algorithm, using values from a known nationally representative survey. Based on the weighted dataset, a gender stratified percentile table with values for the 5th, 50th, and 95th percentile was calculated. Practitioner summary: Body proportions are constantly changing and the latest publicly available anthropometric dataset for Germany was published in 2004. A new dataset was created, using 3D body scans from an epidemiological health study and a weighting algorithm. Ultimately, percentile tables with values for the 5th, 50th, and 95th percentile are published.