Evidence map›Paper›PMID 26473908›Full record

ArticleInternational journal of environmental research and public health2015

Prevalence of Diabetes and Associated Factors in the Uyghur and Han Population in Xinjiang, China.

Haiying Gong, Lize Pa, Ke Wang, Hebuli Mu, Fen Dong, Shengjiang Ya, Guodong Xu, Ning Tao, Li Pan, Bin Wang and 1 more

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
1.8field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 26 citations in OpenAlex.

  1. Pooled it
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  9. Cluster Analysis of Unhealthy Lifestyles among Elderly Adults with Prediabetes: A Cross-Sectional Study in Rural China.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2019
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  15. Can both normal and mildly abnormal albuminuria and glomerular filtration rate be a danger signal for diabetic peripheral neuropathy in type 2 diabetes mellitus?Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2017
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 4 institutions in 1 country.

Haiying GongDepartment of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing 100005, China. gonghaiying2802862@163.com.
Lize PaXinjiang Uyghur Autonomous Region Centre for Disease Control and Prevention, Urumqi 830001, China. 13209963010@163.com.
Ke WangDepartment of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing 100005, China. wangkehope@126.com.
Hebuli MuXinjiang Uyghur Autonomous Region Centre for Disease Control and Prevention, Urumqi 830001, China. kawapqi@sina.com.
Fen DongDepartment of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing 100005, China. fionarab@163.com.
Shengjiang YaXinjiang Uyghur Autonomous Region Centre for Disease Control and Prevention, Urumqi 830001, China. Rzwangul@126.com.
Guodong XuDepartment of Epidemiology and Statistics, College of Public Health, Jilin University, Changchun, 130021, China. xugd13@mails.jlu.edu.cn.
Ning TaoDepartment of Epidemiology and Statistics, College of Public Health, Xinjiang Medical University, Urumqi 830011, China. zflningning@sina.com.
Li PanDepartment of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing 100005, China. panli1716@163.com.
Bin WangDepartment of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing 100005, China. wbpumc@163.com.
Guangliang ShanDepartment of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing 100005, China. guangliang_shan@163.com.
Chinese Academy of Medical Sciences & Peking Union Medical College · CNXinjiang Uygur Autonomous Region Disease Prevention and Control Center · CNJilin University · CNXinjiang Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo estimate the prevalence of diabetes and identify risk factors in the Uyghur and Han population in Xinjiang, China.

methodsA cross-sectional study in urban and rural areas in Xinjiang, including 2863 members of the Uyghur population and 3060 of the Han population aged 20 to 80 years, was conducted from June 2013 to August 2013. Data on fasting plasma glucose (FPG) and personal history of diabetes were used to estimate the prevalence of diabetes. Data on demographic characteristics, lifestyle risk factors, and lipid profiles were collected to identify risks factors using the multivariate logistic regression model.

resultsIn urban areas, the age- and gender-standardized prevalence of diabetes was 8.21%, and the age- and gender-standardized prevalence of diabetes was higher in the Uyghur population (10.47%) than in the Han population (7.36%). In rural areas, the age- and gender-standardized prevalence of diabetes was 6.08%, and it did not differ significantly between the Uyghur population (5.71%) and the Han population (6.59%). The results of the multivariate logistic regression analysis showed that older age, obesity, high triglycerides (TG), and hypertension were all associated with an increased risk of diabetes in the Uyghur and Han population. Urban residence and low high-density lipoprotein cholesterol (HDL-C) were associated with an increased risk of diabetes in the Uyghur population. Being an ex-drinker was associated with an increased risk of diabetes and heavy physical activity was associated with a decreased risk of diabetes in the Han population.

conclusionsOur study indicates that diabetes is more prevalent in the Uyghur population compared with the Han population in urban areas. Strategies aimed at the prevention of diabetes require ethnic targeting.

Indexed as

AdultAgedAged, 80 and overAsian PeopleBlood GlucoseChinaCholesterol, HDLCross-Sectional StudiesDiabetes MellitusDyslipidemiasEthnicityFemaleHumansHypertensionLogistic ModelsMaleBlood GlucoseCholesterol, HDLassociated factorsdiabetesHan populationUyghur population

Identifiers

PMID26473908
PMCPMC4627000
OpenAlexW2142329034

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.