Spatial-temporal evolution of overweight and obesity among Chinese adolescents from 2016 to 2020
Zihan Tong,
Hanyue Zhang,
Jingjing Yu,
Xiao Jia,
Xiao Hou,
Zhenxing Kong
Affiliations
Zihan Tong
Key Laboratory of Exercise and Physical Fitness, Ministry of Education, Beijing Sport University, Beijing 100084, China
Hanyue Zhang
Key Laboratory of Exercise and Physical Fitness, Ministry of Education, Beijing Sport University, Beijing 100084, China; Institute of Physical Education, Northeast Normal University, Changchun 130024, China
Jingjing Yu
Key Laboratory of Exercise and Physical Fitness, Ministry of Education, Beijing Sport University, Beijing 100084, China
Xiao Jia
Key Laboratory of Exercise and Physical Fitness, Ministry of Education, Beijing Sport University, Beijing 100084, China
Xiao Hou
Key Laboratory of Exercise and Physical Fitness, Ministry of Education, Beijing Sport University, Beijing 100084, China; School of Sport Science, Beijing Sport University, Beijing 100084, China; Corresponding author
Zhenxing Kong
Key Laboratory of Exercise and Physical Fitness, Ministry of Education, Beijing Sport University, Beijing 100084, China; Corresponding author
Summary: This study examines the spatial-temporal evolution of overweight and obesity among Chinese adolescents aged 14–17. Data from five national surveys conducted between 2016 and 2020 were analyzed to determine distribution patterns and trends. Results showed that overweight and obesity exhibit spatial clustering, with greater severity in the north and less severity in the south. The issue has spread from the northeast to the southwest of Mainland China. Using a local autocorrelation model, the regions were divided into a northern disease cold spot area (Inner Mongolia) and a southern disease hot spot area (Guangxi). Over the past five years, overweight rates among Chinese adolescents have not been effectively curbed, but obesity has shown some success in control and reversal until 2019. Future efforts should focus on the spatial-temporal pattern of disease spread, targeting hotspot areas and abnormal values for regional synergy and precise prevention and control.
