[Spatial distribution of hemoglobin in children aged 0-2 years in China in 2013].

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2019
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Abstract
To obtain hemoglobin values in different regions of China is of great guiding value for judging anemia in children in different regions.A total of 13 951 children aged 0-2 years old(female 6759, male 7192, urban area 6866, rural area 7085) in the 2010-2013 National Nutrition and Health Survey was analyzed the characteristics of hemoglobin spatial differentiation. SAS was used to analyze the data of children's hemoglobin result. Geographic Information System(GIS)spatial analysis method was used to form the spatial distribution map of hemoglobin mean values at 55 monitoring points, and inverse distance weighted spatial interpolation(IDW)method was used to obtain the spatial distribution map of children's hemoglobin in China.Based on the data of 13 951 children aged 0-2 years in the National Nutrition and Health Survey, it was found that the average hemoglobin value of Chinese children ranged from 112. 02 to 139. 03 g/L. The average hemoglobin value of Yi 'an County in Heilongjiang Province(139. 04 ± 1. 22 g/L) and Kangle County in Gansu Province(132. 43 ± 0. 82 g/L) was the highest, followed by Shanxi, Yunnan, Anhui, Qinghai and Fujian Provinces(124. 03-128. 72 g/L). The result of spatial interpolation of hemoglobin for children aged 0-2 in China showed that the hemoglobin of children aged0-2 in China showed spatial differences, forming inland high value areas with Heilongjiang, Gansu-Qinghai, Shanxi and Yunnan as the core, Anhui-Jiangsu-ZhejiangFujian coastal high value areas. Low-value areas of hemoglobin were formed in eastern Sichuan-Chongqing-western Hubei-southern Shaanxi, Inner Mongolia-Shanxi-Shaanxi, Beijing-Hebei, Jilin-Liaoning, southern Guangdong and Hainan. There was no significant correlation between the spatial distribution of hemoglobin and altitude in children aged 0-2 years in China in 2013.The spatial distribution of hemoglobin in children aged 0-2 years in China has significant spatial difference characteristics between different regions, with local higher value region and lower value region distribution, which has no significant correlation with altitude.
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li2019spatialwei Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Li, Shujuan;Yu, Dongmei;Zhao, Liyun;
Journal wei sheng yan jiu = journal of hygiene research
Year 2019
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