title: Thermal responses for men with different fat compositions during immersion in cold water at two depths: prediction versus observation.
abstract: A cold thermoregulatory model (CTM) was applied to data from partially immersed subjects divided into normal (NF) or low fat (LF) groups in order to validate CTM during immersion at two depths and to examine mechanisms underlying the individual differences. CTM defines thermal characteristics, e.g. surface area and maximal shivering intensity, using height, weight, fat %, age and VO(2max). Ten clothed subjects, 5 NF (15-19%) and 5 LF (8.1-14.7%), were immersed in both 10 and 15 degrees C water at chest (CH) and waist (WA) level. Environmental and clothing inputs for CTM were weighted to adjust for the ratio of skin surface area covered by either air or water at various immersion depths. Predicted core temperature (Tc) responses for each individual trial were compared with measured data. There were no significant differences (P > 0.05) between measured Tc and predicted Tc for NF at all four conditions. In contrast, for the LF group, the predicted Tc responses were all higher than measured (P < 0.05). However, predicted Tc agreed closer with measured Tc for LF when leg muscle blood flow was increased in the simulation. This suggests that blood flow may contribute to the rapid decline in Tc observed in LF and its variance may cause in part the individual differences in Tc responses. CTM predicts Tc responses to immersion at various depths with acceptable accuracy for NF individuals in this study and can be adapted to non-uniform environments.
authors.affiliation: Biophysics and Biomedical Modeling Division, US Army Research Institute of Environmental Medicine, Kansas St., Natick, MA, 01760, USA. xiaojiang.xu@us.army.mil
authors.forename: Xiaojiang
authors.initials: X
authors.lastname: Xu
authors.forename: John W
authors.initials: JW
authors.lastname: Castellani
authors.forename: William
authors.initials: W
authors.lastname: Santee
authors.forename: Margaret
authors.initials: M
authors.lastname: Kolka
mesh_terms: D000273:Adipose Tissue / Q000502:physiology*; D000293:Adolescent; D000328:Adult; D000465:Algorithms; D000886:Anthropometry; D001823:Body Composition / Q000502:physiology*; D001833:Body Temperature Regulation / Q000502:physiology*; D003080:Cold Temperature / Q000009:adverse effects*; D006801:Humans; D007101:Immersion / Q000503:physiopathology*; D008297:Male; D015233:Models, Statistical; D018482:Muscle, Skeletal / Q000098:blood supply; D010101:Oxygen Consumption / Q000502:physiology; D011237:Predictive Value of Tests; D011312:Pressure; D012039:Regional Blood Flow / Q000502:physiology; D012768:Shivering / Q000502:physiology; D014867:Water
chemical_list: D014867:Water