ORIGINAL RESEARCH article
Front. Public Health
Sec. Children and Health
Research on Spinal Characteristics and Exercise Intervention in 6-18 Year Old Adolescents Based on Computer Vision Recognition
Provisionally accepted- 1Qingdao University of Technology, Qingdao, China
- 2Tsinghua University, Beijing, China
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Introduction: Spinal health significantly impacts adolescents' posture, athletic performance, mental well-being, and quality of life. It provides data support for promoting the physical and mental health of adolescents and implementing the construction of a strong education country. Methods: This study employed computer vision recognition technology to screen and evaluate the spinal health status of 4,534 adolescents aged 6 to 18. Through a 12-week exercise intervention, the study compared the effects of different exercise programs on adolescents' spinal health. Results:(1) The spine characteristics of 4534 children and adolescents aged 6 ~ 18 years old showed that there were more middle and high risk people with neck forward tilt, neck roll, overall spine roll, high and low shoulder and pelvic rotation, and the tilt or rotation angle of boys was larger than that of girls. (2) From the perspective of age, the tilt angle of children and adolescents in the low age group and 18 years old is larger. (3) Football, badminton and dance can improve the spine tilt angle of adolescents, but different sports have different effects on different parts of the spine. Conclusion:(1) Children and adolescents aged 6-18 have different degrees of problems in the neck, chest, waist, spine, shoulder joint and pelvis. (2) There are age and gender differences in spine health of adolescents aged 6-18 years old, and the problems of low age group and 18 years old are more prominent. (3) When using exercise to improve spinal health issues, it is essential to select different types of sports based on the tilt of different body parts and arrange the exercise intensity reasonably according to individual health conditions and physical capabilities.
Keywords: Computer Vision, China, adolescents, Spine, intervention
Received: 05 Jun 2025; Accepted: 07 Nov 2025.
Copyright: © 2025 Cheng, Liu, Liu, Haswgawa, Li, Ye and Xiao. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Jingmin Liu, 41463260@qq.com
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