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Updated: Apr 8, 2026

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Assessment of Physical Activity Intensity with Accelerometers and Oxygen Consumption
Published on: June 20, 2025
735
Classification of occupational activity categories using accelerometry: NHANES 2003-2004
Jeremy A Steeves1, Catrine Tudor-Locke2, Rachel A Murphy3
1Department of Kinesiology, University of Wisconsin-Milwaukee, 2400 E Hartford Avenue, Milwaukee, WI, 53201, USA. steevesj@uwm.edu.
Summary
This study classified 40 occupations into high, intermediate, and low occupational activity (OA) groups using accelerometer data. Farm workers had high OA, while secretarial roles had low OA, offering new health insights.
Area of Science:
- Occupational health
- Physical activity research
- Behavioral science
Background:
- Occupational activity (OA) significantly impacts daily physical activity (PA) and sedentary behavior (SB).
- Current methods lack consensus on classifying occupational categories by OA levels.
- Limited population data exists for accelerometer-derived PA and SB across diverse occupations.
Purpose of the Study:
- To provide population estimates of accelerometer-derived PA and SB for 40 occupational categories.
- To systematically classify occupations into high, intermediate, and low OA groups.
- To establish a foundation for exploring OA's relationship with health outcomes.
Main Methods:
- Utilized accelerometer data from 1112 adults (20-60 years) from the 2003-2004 NHANES survey.
- Derived variables included total activity counts/day, counts/minute, and proportions of time in moderate-to-vigorous PA (MVPA), lifestyle, and light PA.
- A summary score, derived from ranking six accelerometer variables, classified occupations into three OA groups: high, intermediate, and low.
Main Results:
- 'Farm and nursery workers' were classified as high OA; 'secretaries, stenographers, and typists' as low OA.
- Higher education/income occupations (e.g., scientists, managers) showed higher MVPA, potentially due to gender composition and leisure PA.
- Men exhibited higher total activity counts and MVPA but similar SB proportions compared to women across all OA groupings.
Conclusions:
- Objective PA measurements enabled precise estimation of PA and SB across occupations.
- Facilitated systematic classification of 40 occupational categories into three distinct OA groupings.
- This classification offers novel avenues for investigating the links between occupational activity and health.

