Comparative Analysis of Clothing Pressure Distribution in Obese and Normal-Weight Dogs Based on Material and Postural Variations Using CLO 3D Virtual Fitting.

Abstract

Clothing pressure influences the comfort, mobility, and welfare of dogs; however, quantitative evidence on how obesity affects localized garment pressure is limited. Using CLO 3D virtual fitting, we evaluated clothing pressure according to body condition (normal vs. obese), posture, and fabric type. We constructed normal and obese avatars for three breeds and simulated a short-sleeved T-shirt across six postures and three fabrics, yielding <i>n</i> = 108 simulation conditions (two body conditions × three breeds × six postures × three fabrics). Clothing pressure was quantified as ROI-averaged pressure (kPa) at four body regions (P1-P4). The overall mean pressure (averaged across P1-P4) increased from 16.69 ± 3.69 kPa (normal) to 19.56 ± 5.03 kPa (obese), with the highest pressures consistently observed at the chest (P2) and abdomen (P4). Region-specific ANOVA/GLM analyses (breed treated as a fixed factor) showed significant main effects of body condition, posture, fabric type, and breed on clothing pressure (all <i>p</i> < 0.001), while the three-way interaction (body condition × posture × fabric) was not significant (<i>p</i> > 0.05). These findings show that CLO 3D virtual fitting enables controlled, simulation-based comparisons of clothing pressure across body conditions; however, because no in vivo wear trials were conducted, the results should be interpreted as preliminary, and they require future experimental validation before practical application.