Evidence map›Paper›PMID 30040249›Full record

ArticleJournal of diabetes investigation2019

Type 2 diabetes mellitus and neighborhood deprivation index: A spatial analysis in Zhejiang, China.

Xin Zhang, Xiaoxiao Chen, Weiwei Gong

Abstract read
In one paragraph

Article in Journal of diabetes investigation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

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13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

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  12. The Effects of Social, Personal, and Behavioral Risk Factors and PMInternational journal of environmental research and public health · 2020
    Article
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

3 authors.

Xin ZhangACON Biotech (Hangzhou) Co., Ltd., Hangzhou, China.
Xiaoxiao ChenACON Biotech (Hangzhou) Co., Ltd., Hangzhou, China.
Weiwei GongZhejiang Center for Disease Control and Prevention, Hangzhou, China.

Funding

ACON Primary Care Research CenterNatural Science Foundation of China (NSFC) 41401143
6 · The paper itself

Abstract

AIMS/

introductionMany studies have reported that socioeconomically disadvantaged people or people who live in deprived areas are more vulnerable to diabetes complications. However, few such studies were carried out in China. The present study examined the spatial association between the incidence of type 2 diabetes mellitus and neighborhood deprivation in Zhejiang, China, from a spatial epidemiology perspective. MATERIALS AND

methodsType 2 diabetes mellitus data (2012-2016) in the present study were derived from a population-based diabetes registry system maintained by Zhejiang Provincial Center for Disease Control and Prevention. Principal components analysis was used to combine different socioeconomic variables together into a composited Neighborhood Deprivation Index. We applied the global Moran's I and Anselin's local Moran's I statistics to explore the spatial patterns of type 2 diabetes mellitus incidence and Neighborhood Deprivation Index.

resultsType 2 diabetes mellitus incidence (Moran's I: 0.531, P < 0.001) and Neighborhood Deprivation Index (Moran's I: 0.772, P < 0.001) showed positive statistically significant global Moran's I index values, showing a tendency towards clustering. The local Moran's I analyses showed that type 2 diabetes mellitus incidence hot spots were mainly located in urban centers, and type 2 diabetes mellitus incidence cold spots appeared in the provincial capital area (Hangzhou city) and western and south-western regions of Zhejiang; the hot spots of the less deprived areas were concentrated in urban centers (except Lishui city), and the cold spots of the most deprived areas were clustered in western and south-western regions of Zhejiang.

conclusionsThe study showed that the incidence of type 2 diabetes mellitus was higher in affluent areas than the deprived areas across the study period. It will be significant to focus preventive efforts on the least deprived areas.

Indexed as

Poverty AreasSocioeconomic FactorsSpatial AnalysisAdolescentAdultChildChild, PreschoolChinaDiabetes Mellitus, Type 2FemaleFollow-Up StudiesGeographic Information SystemsHumansIncidenceInfantInfant, NewbornDeprivationDiabetesSpatial analysis

Identifiers

PMID30040249
PMCPMC6400165

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.