大学生肥胖检出率的空间分布特征及其影响因素

Spatial Distribution Characteristics and Influencing Factors of Obesity Detection Rate Based on GIS Among Chinese College Students

采用整群抽样法抽取2015-2018年大一新生18319名,分析大学生肥胖检出率的空间分布特征及影响空间分布的因素.研究发现:大学生肥胖检出率的高值区为河北省、吉林省和黑龙江省;热点区包含7个省份,集中在东北部;冷点区包含4个省份,集中在南部.气温是影响空间分布特征的重要因素,对处于肥胖检出率高值区和热点区的省份进行干预时,应重点考虑气温的影响.

The cluster sampling method was used to select 18,319 freshmen from 2015 to 2018,and the spatial distribution characteristics of the obesity detection rate of college students and the factors affecting the spatial distribution were analyzed.The study found that:Hebei Province,Jilin Province and Heilongjiang Province have the highest obesity detection rates among college students;the hot spot area includes 7 provinces,concentrated in the northeast;the cold spot area includes 4 provinces,concentrated in the south.Temperature is an important factor that affects this spatial distribution.When intervening in provinces with high obesity detection rates and hot spots,the impact of temperature should be considered.