Evidence map›Paper›PMID 26473900›Full record

ArticleInternational journal of environmental research and public health2015

Identification of Risk Factors Affecting Impaired Fasting Glucose and Diabetes in Adult Patients from Northeast China.

Yutian Yin, Weiqing Han, Yuhan Wang, Yue Zhang, Shili Wu, Huiping Zhang, Lingling Jiang, Rui Wang, Peng Zhang, Yaqin Yu 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 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 9% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. Pooled it
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  9. Influence of Health Behaviors and Occupational Stress on Prediabetic State among Male Office Workers.International journal of environmental research and public health · 2018
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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 2 institutions in 2 countries.

Yutian YinDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, 1163 Xinmin Street, Changchun, Jilin 130021, China. yinyutian1123@126.com.
Weiqing HanDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, 1163 Xinmin Street, Changchun, Jilin 130021, China. hanwq1987@foxmail.com.
Yuhan WangDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, 1163 Xinmin Street, Changchun, Jilin 130021, China. 626699shiwo@163.com.
Yue ZhangDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, 1163 Xinmin Street, Changchun, Jilin 130021, China. ruiwen9090@126.com.
Shili WuAdministration Bureau of Changbai Mountain Natural Mineral Water Source Protection Areas, Jilin 130021, China. 5813091@163.com.
Huiping ZhangDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT 06511, USA. huiping.zhang@yale.edu.
Lingling JiangDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, 1163 Xinmin Street, Changchun, Jilin 130021, China. jianglingling.2008@163.com.
Rui WangDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, 1163 Xinmin Street, Changchun, Jilin 130021, China. yj@163.com.
Peng ZhangDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, 1163 Xinmin Street, Changchun, Jilin 130021, China. w1099358429@sohu.com.
Yaqin YuDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, 1163 Xinmin Street, Changchun, Jilin 130021, China. yinyutian1123@126.com.
Bo LiDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, 1163 Xinmin Street, Changchun, Jilin 130021, China. Li_bo@jlu.edu.cn.
Jilin University · CNYale University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBesides genetic factors, the occurrence of diabetes is influenced by lifestyles and environmental factors as well as trace elements in diet materials. Subjects with impaired fasting glucose (IFG) have an increased risk of developing diabetes mellitus (DM). This study aimed to explore risk factors affecting IFG and diabetes in patients from Northeast China.

methodsA population-based, cross-sectional survey of chronic diseases and related risk factors was conducted in Jilin Province of Northeast China. All adult residents, aged 18-79, were invited to participate in this survey using the method of multistage stratified random cluster sampling. One hundred thirty-four patients with IFG or DM and 391 healthy control subjects were recruited. We compared demographic factors, body size measurements, healthy-related behaviors, and hair metallic element contents between IFG/diabetes patients and healthy individuals.

resultsIFG/diabetes patients had a greater weight, waist, hip, and body mass index (BMI) than control subjects. Significant differences in the content of zinc (Zn), potassium (K), copper (Ca), and sodium (Na) as well as Cu/Zn ratios between IFG or DM patients and control subjects (p < 0.05) were also observed. Hair Cu, selenium (Se), and Na contents were positively correlated with blood glucose levels (Cu: rs = 0.135, p = 0.002; Se: rs = 0.110, p = 0.012; Na: rs = 0.091, p = 0.038). Polytomous logistic regression adjusting for age, sex, family history of diabetes and BMI, showed that subjects with high BMI were more likely to develop IFG and DM (IFG: OR = 1.15, OR 95% CI = 1.02-1.29; DM: OR = 1.15, OR 95% CI = 1.01-1.33). Moreover, rarely or never eating fruits was a risk factor for DM (OR = 5.46, OR 95% CI = 1.87-15.98) but not for IFG (OR = 1.70, OR 95% CI = 0.72-4.02). Subjects with abdominal obesity or DM history were more susceptible to DM (abdominal obesity: OR = 2.99, OR 95% CI = 1.07-8.37; DM history: OR = 2.69, OR 95% CI = 1.01-7.20). We found that subjects living in Changling County had a significantly lower chance to suffer from IFG (OR and 95% CI for OR: 0.25, 0.08-0.74). Men and 60-69 years old subjects were at increased risk for IFG (male: OR = 3.51, OR 95% CI = 1.34-9.18; age 60-69: OR = 6.64, OR 95% CI = 1.36-32.47). We did not find significant associations of IFG or DM with certain lifestyles (such as eating more meat, exercise or physical activity, smoking, or alcohol drinking) or the content of some metallic elements (such as iron (Fe), Zn , K, calcium (Ca), Na, or magnesium (Mg)).

conclusionsThis study demonstrated that less or no fruit eating, DM family history, abdominal obesity conferred vulnerability to DM. Living in Changling County, men and 60-69 years old subjects were found to be risk factors for IFG. Subjects with high BMI were more likely to develop IFG and DM.

Indexed as

Blood GlucoseBody SizeHealth BehaviorAdolescentAdultAgedAlcohol DrinkingBody Mass IndexCase-Control StudiesChinaCross-Sectional StudiesDiabetes MellitusFastingFemaleHairHumansBlood Glucoseand hair metallic elementsblood glucoseimpaired fasting glucose (IFG)polytomous logistic regressiontype 2 diabetes mellitus (DM)

Identifiers

PMID26473900
PMCPMC4626992
OpenAlexW2143460010

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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.