Superficial temperature distribution patterns before and after physical activity in school children are indicative for personalized exercise coaching and disease prevention

Agnieszka Dębiec-Bąk; Anna Skrzek; Halina Podbielska; Olga Golubnitschaja; Małgorzata Stefańska

doi:10.1007/s13167-021-00262-1

Superficial temperature distribution patterns before and after physical activity in school children are indicative for personalized exercise coaching and disease prevention

EPMA J. 2021 Nov 5;12(4):435-447. doi: 10.1007/s13167-021-00262-1. eCollection 2021 Dec.

Authors

Agnieszka Dębiec-Bąk¹, Anna Skrzek¹, Halina Podbielska², Olga Golubnitschaja³, Małgorzata Stefańska¹

Affiliations

¹ Department of Physiotherapy in Motor Organ Dysfunctions, Faculty of Physiotherapy, Wroclaw University of Health and Sport Sciences, al. Paderewskiego 35, 51-612 Wrocław, Poland.
² Department of Biomedical Engineering, Faculty of Fundamental Problems of Technology, Wrocław University of Science and Technology, Wybrzeże Wyspiańskiego 27, 50-370 Wrocław, Poland.
³ Predictive, Preventive and Personalised (3P) Medicine, Department of Radiation Oncology, University Hospital Bonn, Rheinische Friedrich-Wilhelms-Universität Bonn, 53127 Bonn, Germany.

Abstract

Background: Thermoregulation is highly individual and predictive for potentially cascading pathologies. Altered and deficient thermoregulation is considered an important diagnostic indicator which can be of great clinical utility for specialized screening programs and individualized prediction and prevention of severe pathologies triggered early in life.

Working hypothesis: Individual thermoregulation can be objectively assessed by thermovision camera before and after exercises in school children stratified by age and gender that may be of great clinical utility for personalized training early in life in the framework of 3P medicine.

Study design: In this study, 60 female and male primary school children were exposed to physical exercises in the form of 45-min general fitness training. The subjects under examination were stratified by age: group 1 (7-year-olds), group 2 (9-year-olds), and group 3 (12-year-olds). Superficial body temperature patterns were measured by means of thermovision camera before and immediately after exercises, as well as after the 15-min recovery time. Temperature patterns were analyzed in 12 areas of the body front and back, covering trunk and upper and lower limbs.

Results: The obtained results revealed an individual and age-depended difference in response of the body to exercises. The first measurement prior to exercise (measurement 1) revealed no statistically significant differences in the mean surface temperature of all analyzed areas between 7- and 9-year-old children. Further, 7- and 9-year-old children did not differ significantly in the mean temperature recorded in the trunk compared to the 12-year-old children. However, in 12-year-old children, statistically significant higher values of the mean temperature of the upper and lower limbs, were observed compared to the group of 7-year-olds and significantly higher values of the mean temperature of the lower limbs compared to the group of 9-year-olds. Immediately after exercises (measurement 2), a statistically significant decrease in the temperature was noted in all groups and in all areas of the body. The greatest temperature change was observed in 12-year-olds, while the least one was measured in the youngest subjects. The statistically significant relation between the average trunk temperature of 7-year-old and 12-year-old children was observed: lower values of the mean temperature of the front and back of the trunk were noted in the group of 12-year-old children compared to the group of 7-year-olds. A significantly lower average temperature of the back of the trunk compared to the youngest group was also recorded in 9-year-old children. The study performed after the 15-min recovery time (measurement 3) showed an increase in the average temperature of all analyzed areas. In all subjects, the mean temperature recorded in measurement 3 did not differ significantly from the initial ones (measurement 1, prior to exercises). Only the mean temperature of the trunk back of 12-year-old children was significantly lower after the rest period compared to the initial examination. In all groups, the temperatures after exercises followed by a 15-min recovery returned to the initial ones, except of the trunk backs of 12-year-old children, where the temperature was lower than before exercises.

Conclusions and expert recommendations in the framework of 3pm: Thermovision analysis is an effective tool to assess individual thermoregulation and to stratify school children for personalized exercise coaching. Body exercise-based disease prevention early in life is effective when tailored to the person: multi-parametric guidance for prescribing exercises individually is needed. Contextually, proposed individualized training approach should be adapted to the age-dependent particularities and individual thermoregulation.

Keywords: 7–12 years old; Age-dependent; Assessment tool; Body mass; Body temperature; Fatigue; Fitness training; Healthcare policy; Height; Indicator; Innovative approach; Multi-factorial; Patterns; Personalized coaching; Physical activity; Predictive preventive personalized medicine (PPPM/3PM); School children; Socioeconomic disparity; Stratification; Thermography; Thermoregulation; Thermovision analysis.