Spatial Analysis of Incidence of Diagnosed Type 2 Diabetes Mellitus and Its Association With Obesity and Physical Inactivity

被引:3
作者
Wu, Jinrong [1 ,2 ]
Wang, Yang [1 ]
Xiao, Xin [1 ,3 ]
Shang, Xianwen [1 ]
He, Mingguang [1 ,4 ,5 ]
Zhang, Lei [1 ,6 ,7 ,8 ]
机构
[1] Royal Victorian Eye & Ear Hosp, Ctr Eye Res Australia, Melbourne, Vic, Australia
[2] La Trobe Univ, Res Ctr Data Analyt & Cognit, Melbourne, Vic, Australia
[3] Peoples Hosp Guangxi Zhuang Autonomous Reg, Dept Optometry, Ctr Optometry & Visual Sci, Guangxi, Peoples R China
[4] Univ Melbourne, Dept Surg, Ophthalmol, Melbourne, Vic, Australia
[5] Sun Yat Sen Univ, Zhongshan Ophthalm Ctr, State Key Lab Ophthalmol, Guangzhou, Peoples R China
[6] Alfred Hlth, Melbourne Sexual Hlth Ctr, Alfred, Vic, Australia
[7] Monash Univ, Cent Clin Sch, Fac Med, Melbourne, Vic, Australia
[8] Zhengzhou Univ, Dept Epidemiol & Biostat, Coll Publ Hlth, Zhengzhou, Peoples R China
基金
中国国家自然科学基金;
关键词
diabetes; incidence; GIS; Australian; risk factors; obesity; physical inactivity; LIFE-STYLE INTERVENTION; BODY-MASS-INDEX; SOCIOECONOMIC-STATUS; PUBLIC-HEALTH; RISK; POPULATION; PREVALENCE; PREVENTION; WEIGHT; COHORT;
D O I
10.3389/fendo.2021.755575
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Objectives To investigate the spatial distribution of 10-year incidence of diagnosed type 2 diabetes mellitus (T2DM) and its association with obesity and physical inactivity at a reginal level breakdown.</p> Methods Demographic, behavioral, medical and pharmaceutical and diagnosed T2DM incidence data were collected from a cohort of 232,064 participants who were free of diabetes at enrolment in the 45 and Up Study, conducted in the state of New South Wales (NSW), Australia. We examined the geographical trend and correlation between obesity prevalence, physical inactivity rate and age-and-gender-adjusted cumulative incidence of T2DM, aggregated based on geographical regions.</p> Result The T2DM incidence, prevalence of obesity and physical inactivity rate at baseline were 6.32%, 20.24%, and 18.7%, respectively. The spatial variation of T2DM incidence was significant (Moran's I=0.52; p<0.01), with the lowest incidence of 2.76% in Richmond Valley-Coastal and the highest of 12.27% in Mount Druitt. T2DM incidence was significantly correlated with the prevalence of obesity (Spearman r=0.62, p<0.001), percentage of participants having five sessions of physical activities or less per week (r=0.79, p<0.001) and percentage of participants walked to work (r=-0.44, p<0.001). The geographical variations in obesity prevalence and physical inactivity rate resembled the geographical variation in the incidence of T2DM.</p> Conclusion The spatial distribution of T2DM incidence is significantly associated with the geographical prevalence of obesity and physical inactivity rate. Regional campaigns advocating the importance of physical activities in response to the alarming T2DM epidemic should be promoted.</p>
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页数:8
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