中国全科医学 ›› 2023, Vol. 26 ›› Issue (07): 816-824.DOI: 10.12114/j.issn.1007-9572.2022.0648

所属专题: 肥胖最新文章合集

• 论著·人群健康研究 • 上一篇    下一篇

中国5岁以下儿童超重的时空演变模式高精度识别与预测研究

张曦宇1, 李叶1,*(), 吴群红2, 李继达2, 胡钰2   

  1. 1.150081 黑龙江省哈尔滨市,哈尔滨医科大学卫生管理学院卫生政策与医院管理研究中心
    2.150081 黑龙江省哈尔滨市,哈尔滨医科大学卫生管理学院社会医学教研室
  • 收稿日期:2022-09-07 修回日期:2022-12-25 出版日期:2023-03-05 发布日期:2023-01-12
  • 通讯作者: 李叶

  • 作者贡献:张曦宇负责数据管理、形式呈现与统计分析、论文的撰写与修订,并对文章整体负责;李叶负责提出概念、文章的可行性分析、论文审查,并提供资金支持,参与论文撰写;吴群红负责论文审核,并参与论文撰写;李继达、胡钰负责对研究结果进行验证与可视化。
  • 基金资助:
    国家自然科学基金资助项目--后减贫时代医保减贫效应测度研究时空分异格局、脆弱性识别与协同治理(72174047); 国家自然科学基金资助项目--复杂自适应系统视角下大病医保理论模型、效果评价及优化策略仿真研究(71874045); 黑龙江省自然科学基金项目--基于空间减贫视域的黑龙江省健康贫困全景追踪与脆弱靶点研究(LH2021G015)

High-precision Identification and Prediction of Spatio-temporal Evolutionary Patterns of Overweight among Children under 5 in China

ZHANG Xiyu1, LI Ye1,*(), WU Qunhong2, LI Jida2, HU Yu2   

  1. 1. Research Centre of Health Policy and Hospital Management, School of Health Management, Harbin Medical University, Harbin 150081, China
    2. Department of Social Medicine, School of Health Management, Harbin Medical University, Harbin 150081, China
  • Received:2022-09-07 Revised:2022-12-25 Published:2023-03-05 Online:2023-01-12
  • Contact: LI Ye

摘要: 背景 低龄儿童超重问题呈现普遍化、严重化的趋势在一定程度上降低了未来人口素质,给中国健康人力资本存量的可持续发展带来巨大风险。 目的 科学认识中国5岁以下儿童超重率的时空演变模式与未来发展趋势,旨在为控制儿童超重现象、提升地方政府治理效能、实施精准的干预措施提供支持。 方法 于2022年4月,以华盛顿大学卫生计量与评估研究所提供的全球105个中低收入国家5 km×5 km格网数据集作为数据源,提取2000—2019年中国(除香港特别行政区、澳门特别行政区、台湾地区)5岁以下儿童超重率5 km×5 km格网数据,逐像元计算2000—2019年平均5岁以下儿童超重率,使用泰尔森估算法、Mann-Kendall检验法与Hurst指数估计法,逐像元对5岁以下儿童超重率的时空演变模式与未来发展趋势进行刻画。 结果 2000—2019年20年间,5岁以下儿童超重情况在山东省、湖南省的大部分地区及福建省、广东省、海南省、北京市、天津市等省份的局部地区较为普遍,其中湖南省全省的平均5岁以下儿童超重率达29.42%;5岁以下儿童超重率明显增长的地区面积占研究区总面积(不含数据缺失区域)的60.59%,中部与东部地区5岁以下儿童超重率呈明显增长趋势的面积占中部与东部地区总面积(不含数据缺失区域)的比例高于西部地区5岁以下儿童超重率呈明显增长趋势的面积占西部地区面积(不含数据缺失区域)的比例;超重率演变趋势无明显变化的地区面积占研究区总面积的25.33%,从空间分布上看,以斑块状散布在各省份的部分地区,如长江中游城市群等;超重率演变呈明显降低趋势的地区面积占研究区总面积的14.08%,集中于西部地区的新疆维吾尔自治区、青海省、四川省、云南省等省份的部分地区,以及东部地区的河北省、辽宁省、山东省的局部区域。根据Hurst指数,5岁以下儿童超重率时间序列具有持久性或趋势增强特征的地区面积占研究区总面积的84.87%。 结论 中国5岁以下儿童超重率空间分异特征明显。5岁以下儿童超重率与地区发展整体水平存在着协同的"U"型关联,这种关联背后蕴含着"发育迟缓超重现象下降期""超重现象平稳期""营养过剩超重现象上升期"这一多阶段、串联式的发展过程。针对低龄儿童超重这一多维因素耦合衍生出的社会问题,研究结果为政府制定区域政策、构建"政府政策调控-社会理念渗透-家庭健康管理"三级联动的治理网络、科学精准地解决儿童超重问题提供了科学支撑与政策参考。

关键词: 儿童, 超重, 时空演变模式, 趋势分析, 健康地理, 中国

Abstract:

Background

The trend of prevalence and severity of the overweight problem in young children, reduces the general quality of the future population to a certain extent, inducing a great risk to the sustainable development of health human capital stock in China.

Objective

To scientifically understand the spatio-temporal evolutionary patterns and future development trends of overweight rates among children under 5 in China, in order to provide support for controlling overweight in children, improve the efficiency of local governance and support for the implementation of precise interventions.

Methods

In April 2022, the 5 km×5 km gridded dataset in 105 middle-and low-income countries provided by the Institute for Health and Evaluation at the University of Washington (IHME) was used as the data source to extract the gridded data of overweight rates among children under 5 in China (excluding Hong Kong Special Administrative Region, Macao Special Administrative Region and Taiwan District) from 2000 to 2019 in this study. The average overweight rate of children under 5 from 2000 to 2019 was calculated pixel-to-pixel, the Theil-Sen estimator, Mann-Kendall test and Hurst index estimation method was used to characterize the spatio-temporal evolutionary patterns and future development trends among children under 5 pixel-to-pixel.

Results

Overweight among children under 5 is more prevalent in most regions of Shandong Province, Hunan Province and local regions of Fujian Province, Guangdong Province, Hainan Province, Beijing Municipality and Tianjin Municipality during the 20-year period from 2000 to 2019, with the average overweight rate of children under 5 in Hunan Province reaching 29.42%. The area of the regions with significant increase in overweight rates among children under 5 accounts for 60.59% of the total area of the regions in the study (excluding regions with missing data) . The area of the central and eastern regions with a significantly increasing trend in the overweight rates among children under 5 accounts for a higher proportion of the total area of central and eastern regions (excluding regions with missing data) than the proportion accounted by the area of the western regions with a significantly increasing trend in the overweight rates among children under 5 of the total area of western regions (excluding regions with missing data) . The area of the regions with no significant change in the evolution trend of overweight rates accounts for 25.33% of the total area of the regions in the study, which is scattered in patches in parts of provinces, such as cities cluster in the middle reaches of the Yangtze River urban agglomeration. The area of the regions with significant change in the evolution trend of overweight rates accounts for 14.08% of the total area of the regions in the study, concentrated in some regions in the Xinjiang Uygur Autonomous Region, Qinghai Province, Sichuan Province and Yunnan Province in the west of China, and local regions of Hebei Province, Liaoning Province and Shandong Province in the east of China. According to the Hurst index, the area of the regions with persistent or trend-enhancing characteristics of the time series of overweight rates of children under 5 accounts for 84.87% of the total area of the regions in the study.

Conclusion

The spatial heterogeneity of overweight rates among children under 5 in China is obvious. There is a synergistic "U"-shaped association between the overweight rates of children under 5 and the overall level of regional development, the association implies a multi-stage, cascading developmental process of "declining stage of stunting" "stabilization stage" "rising stage of overweight with overnutrition". Focusing on social problems derived from the coupling of multidimensional factors of overweight in young children, the results of the study provide scientific support and policy reference for the government to formulate region-specific policies, build a three-level governance network of "government policy regulation - social concept penetration - family health management", and scientifically and precisely solve the overweight problem among children under 5.

Key words: Children, Overweight, Spatio-temporal evolution patterns, Trend analysis, Health geography, China