Anthropometry applied to work

Anthropometry applied to work uses the dimensions of the human body to design spaces, equipment, and workstations that are adapted to their users. It allows for determining heights, reaches, clearances, and adjustment ranges.

In short

Designing for an average-sized person leaves out part of the workforce. Adaptation requires relevant data, functional dimensions, and testing with diverse users.

Content
  1. What does occupational anthropometry study?
  2. Static and functional dimensions
  3. How to interpret percentiles
  4. Select relevant data
  5. Adjustability and individual adaptation
  6. Practical example
  7. Verification and monitoring
  8. Common mistakes
  9. Related concepts
  10. On the blog
  11. References

AZ Dictionary →

What does occupational anthropometry study?

Anthropometry studies body dimensions and their variability. In prevention, it is applied to specific issues: whether a person can reach a control, have sufficient legroom, or use a tool without adopting an awkward posture. Its value lies in transforming these needs into verifiable design requirements.

It’s part of ergonomics, but it doesn’t encompass all the conditions of the workstation on its own. A table can have adequate dimensions and still impose excessive effort or an inappropriate pace. Therefore, its results must be integrated with an analysis of the activity, forces involved, time, and work organization.

Static and functional dimensions

Static measurements describe the body in standardized positions, such as elbow height or segment length. Functional dimensions consider how the body moves and uses space during an activity. A reach measured under controlled conditions does not necessarily equate to a comfortable reach during a workday.

Clothing, footwear, gloves, and protective equipment must also be considered. The space required for access while wearing respiratory protection or for handling items while wearing gloves may vary. The verification process should accurately represent the actual task, including maintenance, adjustments, and cleaning, and not be limited to the posture shown in a photograph of the empty workstation.

How to interpret percentiles

A percentile expresses the position of a measurement within a reference population. The 5th percentile for a dimension indicates a value below which approximately five percent of that population falls. It does not describe a person who is small in all body dimensions.

The choice depends on the problem. To facilitate reaching a specific area, the smaller end of the range is usually more important; to provide slack, the larger end. Always using the average can be inadequate in both cases. Furthermore, covering a range in one dimension does not demonstrate that the design simultaneously accommodates all combinations of measurements for its users.

Select relevant data

The data should reasonably correspond to the user population and specify how it was obtained. It is not advisable to transfer an outdated table, one from another country, or one from a very different group without review. The year, size, and composition of the sample help to interpret its limitations, especially when the position will be used by diverse individuals.

Self-measurements can address specific needs, but they must be conducted using consistent criteria and respecting privacy. For designing an adjustment mechanism, dimensional information is usually sufficient; collecting personal data unrelated to the objective is inappropriate. Participation can be channeled through usage testing and observations without publishing identifiable measurements of each staff member.

Adjustability and individual adaptation

An adjustable design allows for height, distance, and support adjustments to suit different people and tasks. However, adjustments are only useful if they are accessible, easy to understand, and stable. A seat with many mechanisms can remain poorly adjusted if no one knows their function or if modifying them requires an effort that discourages use.

Participatory ergonomics helps to identify these difficulties. Adaptations should also be considered for individuals outside the expected range or with specific needs. The solution is not to automatically exclude them from the job, but rather to analyze adjustments, assistive devices, and ways of organizing the work with appropriate preventive guidance.

Practical example

A packing station is designed with a fixed table, taking into account the average height of the workforce. During the test, some people raise their shoulders while others bend over to work. The materials placed at the back also require repeated arm extensions, although everyone manages to reach them in a brief demonstration.

The redesign incorporates adjustable height and brings frequently used materials closer to the user. Elbow position, clearance below, and reach are tested during complete cycles with diverse users. The improvement is validated by observing actual work; simply matching dimensions to a table or having an ergonomic label on the furniture is not sufficient.

Verification and monitoring

Validation should include both routine tasks and less frequent situations that also require access. It’s advisable to record which users and conditions were checked, what adjustments were needed, and what limitations remain. This facilitates the evaluation of future purchases and prevents recurring problems when changing vendors or replicating the workstation at another location.

Changes in tools, protective equipment, or products can alter dimensional requirements. It’s also advisable to inspect the workstation if awkward postures or access difficulties arise that weren’t previously observed. The absence of complaints doesn’t replace an inspection, as people may have normalized uncomfortable compensations to complete their tasks.

Common mistakes

Common mistakes include designing everything for the average, confusing height with reach, or treating percentiles as absolute safety limits. It is also a mistake to add an adjustment mechanism whose range does not cover the actual need, or to assess access without the clothing and equipment used during work.

Anthropometry guides design decisions; it does not, on its own, predict injury. Its best application combines reliable data, functional analysis, and usage testing. The preventive goal is to reduce forced adaptations of the body to the equipment and to enable different people to work under suitable conditions throughout the activity.

Related concepts

On the blog

References

  1. Official State Gazette. Law 31/1995, on Occupational Risk Prevention. Consolidated text. Official source
  2. National Institute for Occupational Safety and Health. Job Design. Official Source
  3. National Institute for Occupational Safety and Health. Anthropometric aspects of the Spanish working population applied to industrial design. 2003. Official source
  4. National Institute for Occupational Safety and Health. Work postures. Official source

Editorial information

Publication date: October 10, 2026.

Editorial Manager: Sabentis Editorial Team.

Author: Pablo Rodríguez LinkedIn

Executive Vice President of the ORP International Foundation and Chief Financial Officer of Sabentis.

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