Evidence map›Paper›PMID 31383706›Full record

ArticleBMJ open2019

Prevalence of impaired fasting glucose, type 2 diabetes and associated risk factors in undiagnosed Chinese rural population: the Henan Rural Cohort Study.

Tanko Abdulai, Yuqian Li, Haiqing Zhang, Runqi Tu, Xiaotian Liu, Liying Zhang, Xiaokang Dong, Ruiying Li, Yuming Wang, Chongjian Wang

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 3 pooled it
1.4field-weighted citation impact, top 17% 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

13 citing papers in PubMed, 3 syntheses or guidelines pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Article
  7. Combined Effects ofNutrients · 2023
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  10. Epidemiology of Isolated Impaired Glucose Tolerance Among Adults Aged Above 50 Years in Rural China.Diabetes, metabolic syndrome and obesity : targets and therapy · 2021
    Article
  11. Article
  12. Abnormal Glucose Metabolism and Associated Risk Factors Among Adults in Mekelle City, Ethiopia.Diabetes, metabolic syndrome and obesity : targets and therapy · 2020
    Article
  13. Article
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

10 authors at 2 institutions in 2 countries.

Tanko AbdulaiDepartment of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, China.ORCID 0000-0001-9734-3066
Yuqian LiDepartment of Clinical Pharmacology, School of Pharmaceutical Science, Zhengzhou University, Zhengzhou, China.
Haiqing ZhangDepartment of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, China.
Runqi TuDepartment of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, China.
Xiaotian LiuDepartment of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, China.
Liying ZhangSchool of Information Engineering, Zhengzhou University, Zhengzhou, China.
Xiaokang DongDepartment of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, China.
Ruiying LiDepartment of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, China.
Yuming WangDepartment of Endocrinology and Metabolism, Henan Provincial People's Hospital, Zhengzhou, Henan, China.
Chongjian WangDepartment of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, China.ORCID 0000-0001-5091-6621
Zhengzhou University · CNHenan Provincial People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study estimated the burden and characterised the risk factors associated with diabetes and impaired fasting glucose (IFG) in an undiagnosed rural population.

designData for 36 960 participants from the Henan Rural Cohort baseline with undiagnosed diabetes were analysed. X

resultsWomen constituted 60.30% of the study participants, mean age of participants was 55.32±12.18 years, risk factors for diabetes and IFG were prevalent (75% dyslipidaemia, 57% overweight/obese, 50% central obesity and 18% metabolic syndrome). The prevalence of diabetes and IFG was 4.19% and 7.22%, respectively. Having a metabolic syndrome (adjusted OR (aOR) 4.7, 95% CI 4.27 to 5.33), dyslipidaemia (aOR 2.76, 95% CI 2.31 to 3.21), centrally obese (aOR 2.38, 95% CI 2.11 to 2.70), being overweight/obese (aOR 1.66, 95% CI 1.45 to 1.79) and a family history of diabetes (aOR 1.50, 95% CI 1.15 to 1.92) were associated with diabetes. These factors were also associated with IFG. Intake of high salt diet (aOR 1.16, 95% CI 1.02 to 1.32) and smoking (aOR 1.22, 95% CI 1.02 to 1.47; significant in men) were also associated with diabetes. Engaging in moderate physical activity (aOR 0.94, 95% CI 0.89 to 0.98) was noted to be negatively associated with diabetes.

conclusionDiabetes and IFG remain prevalent in Chinese population with obesity and dyslipidaemia being some of the most significant predictors. Regular physical activity and consumption of fruits and vegetables may be beneficial in keeping blood glucose level low. TRIAL REGISTRATION NUMBER: ChiCTR-OOC-15006699.

Indexed as

Rural PopulationUndiagnosed DiseasesAsian PeopleBlood GlucoseChinaCohort StudiesDiabetes Mellitus, Type 2DyslipidemiasFastingFemaleGenetic Predisposition to DiseaseHumansMaleMetabolic SyndromeMiddle AgedObesity, AbdominalBlood GlucoseSodium, Dietaryimpaired fasting glucoseprediabetesprevalencerisk factorsundiagnosed diabetes

Identifiers

PMID31383706
PMCPMC6686996
OpenAlexW2965749718

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.