School of Physical Education, Hunan First Normal University, Changsha, Hunan, China.
School of Physical Education, Huizhou University, Huizhou, Guangdong, China.
PLoS One. 2024 Aug 7;19(8):e0287806. doi: 10.1371/journal.pone.0287806. eCollection 2024.
Physical health is fundamental to a country's socio-economic advancement. An in-depth exploration of the spatial distribution and dynamic evolution of national physical fitness across China is crucial for enhancing the country's overall physical health. This study aims to provide valuable insights into the geographical and temporal patterns of physical fitness, informing strategies for national physical fitness improvement.
Employing data from China's national physical fitness monitoring of 31 provinces, cities, and districts for the years 2005, 2010, and 2015, this study utilizes the Gini coefficient, its decomposition, and nonparametric density estimation methods. These techniques are applied to analyze the spatial disparities and temporal trends in national physical fitness levels among different demographics, including the overall population, males, females, and urban and rural residents.
The study reveals that the regional disparity in China's national physical fitness initially narrowed and then expanded across the general population, females, and in both urban and rural areas, while consistently increasing among males. In terms of geographical distribution, the East, Middle, and West regions show significant heterogeneity, with the East-West gap being the most pronounced (Gini coefficients of 0.0249, 0.0230, 0.0263). The contribution rate of regional gaps was highest (54.40% -64.69%), followed by regional disparities (24.78% -27.15%), and the contribution of hypervariable density difference was the smallest (10.53% -19.75%). Despite a slight improvement in overall national physical fitness, the absolute regional disparities have further widened.
Provinces with lower levels of national physical fitness demonstrate a 'club convergence' trend, indicating regional clustering of similar fitness levels. Additionally, a 'catch-up effect' is evident in rural areas, particularly in provinces with historically lower levels of national physical fitness. These findings suggest the need for region-specific public health strategies to address the growing disparities in national physical fitness across China.
身体健康是一个国家社会经济发展的基础。深入探讨中国国民体质的空间分布和动态演变,对于提高全民健康水平具有重要意义。本研究旨在为中国国民体质的地理和时间格局提供有价值的见解,为国家体质提升策略提供信息。
本研究利用 2005、2010 和 2015 年中国全国体质监测 31 个省、市、自治区的数据,采用基尼系数及其分解和非参数密度估计方法,分析不同人群(总人口、男性、女性以及城市和农村居民)的国民体质水平的空间差异和时间趋势。
研究发现,中国国民体质的区域差异在总人口、女性以及城乡居民中呈现先缩小后扩大的趋势,而在男性中则持续扩大。从地理分布上看,东、中、西部地区存在显著的异质性,其中东西部差距最大(基尼系数分别为 0.0249、0.0230 和 0.0263)。区域差距的贡献率最高(54.40%-64.69%),其次是区域差异(24.78%-27.15%),超变量密度差异的贡献最小(10.53%-19.75%)。尽管整体国民体质略有提高,但绝对区域差距进一步扩大。
国民体质水平较低的省份呈现出“俱乐部趋同”的趋势,表明这些地区的体质水平存在聚类现象。此外,农村地区也出现了“追赶效应”,特别是在国民体质水平历来较低的省份。这些发现表明,需要针对不同地区制定具体的公共卫生策略,以应对中国日益扩大的国民体质差异。