阿坝县大骨节病健康寿命损失的时空集聚特征及影响机制

doi:10.13249/j.cnki.sgs.2022.05.005

地理科学 ›› 2022, Vol. 42 ›› Issue (5): 791-799.doi: 10.13249/j.cnki.sgs.2022.05.005

• 青藏高原环境变化与人类活动专栏 • 上一篇下一篇

阿坝县大骨节病健康寿命损失的时空集聚特征及影响机制

王婧¹(), 李海蓉²^,³^,^*(), 杨林生²^,³, 王五一²

1.华中师范大学地理过程分析与模拟湖北省重点实验室/可持续发展研究中心，湖北武汉 430079
2.中国科学院地理科学与资源研究所/中国科学院陆地表层格局与模拟重点实验室，北京 100101
3.中国科学院大学资源与环境学院，北京 100049

收稿日期:2021-12-20 修回日期:2022-02-15 出版日期:2022-05-10 发布日期:2022-07-11
通讯作者: 李海蓉 E-mail:jingwang@ccnu.edu.cn;lihr@igsnrr.ac.cn
作者简介:王婧（1989−），女，宁夏银川人，讲师，硕导，主要从事环境地理与人类健康研究。E-mail: jingwang@ccnu.edu.cn
基金资助:
国家自然科学基金项目(41907390);第二次青藏高原综合科学考察研究项目(2019QZKK0607);“十一五”国家科技支撑项目资助(2007BAI25B01)

Spatio-temporal Agglomeration and Influencing Mechanism of Healthy Life Loss from Kashin-Beck Disease in Aba County

Wang Jing¹(), Li Hairong²^,³^,^*(), Yang Linsheng²^,³, Wang Wuyi²

1. Key Laboratory for Geographical Process Analysis & Simulation, Research Institute of Sustainable Development, Central China Normal University, Wuhan 430079, Hubei, China
2. Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
3. College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China

Received:2021-12-20 Revised:2022-02-15 Online:2022-05-10 Published:2022-07-11
Contact: Li Hairong E-mail:jingwang@ccnu.edu.cn;lihr@igsnrr.ac.cn
Supported by:
National Natural Science Foundation of China(41907390);The Second Tibetan Plateau Scientific Expedition and Research(2019QZKK0607);The National 11th Five-Year Plan Scientific and Technological Issues(2007BAI25B01)

摘要/Abstract

摘要：

以四川省阿坝县为例，采用伤残所致健康寿命损失年（Years lived with disability, YLD）指标，分别测算不同年龄组、性别和病情程度的大骨节病健康寿命损失，并利用空间自相关分析、趋势拟合、地理探测器等方法，探讨其在县域乡镇级尺度的时空集聚特征和影响机制。结果表明：阿坝县总YLD为1783.58人年，YLD率为31.25人年/1000人，高年龄组和女性YLD率较高，II度大骨节病所致YLDs占比最高（40.8%），患病率与健康寿命损失之间未呈一致趋势。空间上YLD率呈北低南高的集聚特征，土壤类型是影响其分布最主要的环境因子，解释了64.7%的健康寿命损失空间分异，社会因素中土地利用类型的解释力最大（62.0%），气候与地形土壤、人口质量与人口结构交互产生的因子解释力增加更为明显。时间上YLDs集中分布于20世纪60~70年代，并呈稳步下降态势。大骨节病健康寿命损失的时空集聚特征受自然、社会、政策等因素的综合影响，空间上自然因素起主导作用，而时间上则主要受病区社会环境变化的影响。

关键词: 大骨节病, 健康寿命损失年, 地理探测器

Abstract:

Kashin-Beck disease (KBD) is one of the key endemic diseases in China’s Health Poverty Alleviation Project. This study attempts to assess the healthy life loss caused by KBD in Aba County, Sichuan Province by using the metric of years lived with disability (YLD). The age-sex specific YLDs and YLD rate among KBD grades were measured, respectively. The spatial and temporal agglomeration characteristics at the township scale and the influencing mechanism of YLDs and YLD rate were analyzed by the methods of spatial autocorrelation, trend fitting and geo-detector. The results showed that the total healthy life loss from KBD in Aba County was estimated at 1783.58 YLDs (31.25 YLD per 1000 population). YLD rates for elderly group and females were relatively high. Among different KBD grades, KBD of grade II contributed most to the total YLDs (40.8%). There was no consistent trend between the prevalence rate and the YLD rate of KBD. The YLD rate in Aba County showed a spatial agglomeration characteristic, with low values in the north and high values in the south. The soil type was the most important environmental influencing factor, accounting for 78.7% of the spatial variation of the YLD rate. The land use type was the most influential social factor, which accounted for 62.0% of its spatial variation. The interactions between climate and terrain, soil, as well as population quality and population structure presented nonlinear enhancement, significantly increasing the explanatory power of single factors. The YLDs showed a steady decline trend over time and concentrated in the 1960s and 1970s. The spatial and temporal agglomeration of the healthy life loss from KBD were collectively affected by natural, social and policy factors. The natural factors played a dominant role in space, while the social environment mainly played roles in time.

Key words: Kashin-Beck disease, years lived with disability, geo-detector

中图分类号:

K901

王婧, 李海蓉, 杨林生, 王五一. 阿坝县大骨节病健康寿命损失的时空集聚特征及影响机制[J]. 地理科学, 2022, 42(5): 791-799.

Wang Jing, Li Hairong, Yang Linsheng, Wang Wuyi. Spatio-temporal Agglomeration and Influencing Mechanism of Healthy Life Loss from Kashin-Beck Disease in Aba County[J]. SCIENTIA GEOGRAPHICA SINICA, 2022, 42(5): 791-799.

图/表 6

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病情程度	YLDs/人年（男）	YLDs/人年（女）	YLDs/人年（总）	YLD率/(人年/ 1000人)（总）	患病率/%
注：YLD为健康寿命损失年。
I	259.39	350.42	609.80	10.68	9.13
II	320.80	407.35	728.15	12.76	4.02
III	138.86	306.77	445.63	7.81	1.34
总计	719.05	1064.53	1783.58	31.25	14.50

自然环境因子	q值	P值	社会环境因子	q值	P值
注： X₁为气温；X₂为降水； X₃为海拔；X₄为地形起伏度； X₅为土壤pH；X₆为土壤有机碳含量；X₇为土壤类型；X₈为土地利用类型；X₉为性别比； X₁₀为平均受教育年限；X₁₁为60岁以上老年人口比； X₁₂为14岁以下少儿人口比；X₁₃为家庭结构；X₁₄为单位面积GDP总产值。
X₁	0.066	0.660	X₈	0.620	0.002
X₂	0.469	0.045	X₉	0.071	0.574
X₃	0.054	0.657	X₁₀	0.147	0.316
X₄	0.600	0.031	X₁₁	0.020	0.571
X₅	0.054	0.345	X₁₂	0.294	0.156
X₆	0.109	0.414	X₁₃	0.159	0.305
X₇	0.647	0.043	X₁₄	0.233	0.267

阿坝县大骨节病健康寿命损失的时空集聚特征及影响机制

Spatio-temporal Agglomeration and Influencing Mechanism of Healthy Life Loss from Kashin-Beck Disease in Aba County

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