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Study Design for Quantifying Workload and Shoulder–Upper-Arm Musculoskeletal Load in Dog Groomers’ Post-Bath Drying Tasks- With an Emphasis on Blow-Drying and Final Drying Stages-

  • Industry Promotion Research
  • Abbr : IPR
  • 2026, 11(2), pp.91~100
  • DOI : 10.21186/IPR.2026.11.2.091
  • Publisher : Industrial Promotion Institute
  • Research Area : Interdisciplinary Studies > Interdisciplinary Research
  • Received : February 12, 2026
  • Accepted : March 9, 2026
  • Published : April 30, 2026

Shin, Do Hwan 1 Cho, Gyu-Sun 1

1호서대학교

Accredited

ABSTRACT

This study proposes a process-structure–based ergonomic framework to quantify musculoskeletal load in dog grooming bathing tasks, focusing on post-bath drying and final drying processes characterized by sustained arm elevation and static upper-arm use during tool handling. A structured survey was conducted with 30 professional dog groomers, and on-site video recordings were obtained from six participants for observational analysis. The bathing task was organized into six sequential processes: transition, bathing/fixation, shampooing, rinsing, post-bath drying, and final drying. Using video-based work sampling, exposure indicators—including arm elevation, static tool holding, trunk flexion, and asymmetric posture—were quantified within the temporal workflow. RULA and OWAS were applied to evaluate upper-limb and whole-body load across processes. Preliminary application identified post-bath drying and final drying as concentrated load phases, with RULA scores ranging from 5 to 7 and OWAS classified within AC2–AC4. These processes involved prolonged arm elevation and concurrent trunk flexion, indicating combined upper-limb and whole-body load accumulation. The findings suggest that musculoskeletal risk in dog grooming emerges from cumulative exposure embedded within the process structure rather than from isolated postures. This study presents a foundational ergonomic protocol for service-based manual work and provides a basis for future research incorporating larger samples and physiological validation using electromyography (EMG).

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