Evidence map›Paper›PMID 31428641›Full record

Trial reportBioMed research international2019

Prevalence of Obesity and Associated Risk Factors and Cardiometabolic Comorbidities in Rural Northeast China.

Shiwen Yu, Liying Xing, Zhi Du, Yuanmeng Tian, Li Jing, Han Yan, Min Lin, Boqiang Zhang, Shuang Liu, Yaping Pan and 1 more

Open access · hybridAbstract readClinical Trial
In one paragraph

Trial report in BioMed research international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 3 pooled it
3.7field-weighted citation impact, top 6% 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

23 citing papers in PubMed, 3 syntheses or guidelines pooled it, 42 citations in OpenAlex.

  1. Pooled it
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  6. Article
  7. Review
  8. Metabolic Syndrome and Associated Factors in Farmers in Southeastern Brazil: A Cross-Sectional Study.International journal of environmental research and public health · 2023
    Observational
  9. Article
  10. Association Between Weight Status and Rate of Cognitive Decline: China Health and Nutrition Survey 1997-2018.The journals of gerontology. Series A, Biological sciences and medical sciences · 2023
    Article
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  16. Diversity and molecular network patterns of symptom phenotypes.NPJ systems biology and applications · 2021
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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.

Shiwen YuDepartment of Periodontics, School of Stomatology, China Medical University, Shenyang, Liaoning, China.ORCID https://orcid.org/0000-0001-9605-7906
Liying XingDisease Control and Prevention of Liaoning Province, Shenyang, Liaoning, China.ORCID https://orcid.org/0000-0002-3301-3516
Zhi DuDepartment of Cardiovascular Medicine, The First Hospital of China Medical University, Shenyang, Liaoning, China.ORCID https://orcid.org/0000-0002-7503-4630
Yuanmeng TianDisease Control and Prevention of Liaoning Province, Shenyang, Liaoning, China.ORCID https://orcid.org/0000-0002-8879-0806
Li JingDisease Control and Prevention of Liaoning Province, Shenyang, Liaoning, China.ORCID https://orcid.org/0000-0003-2555-7430
Han YanDisease Control and Prevention of Liaoning Province, Shenyang, Liaoning, China.
Min LinDepartment of Cardiovascular Medicine, Benxi Central Hospital, Benxi, Liaoning, China.ORCID https://orcid.org/0000-0003-3509-4898
Boqiang ZhangDisease Control and Prevention of Liaoning Province, Shenyang, Liaoning, China.ORCID https://orcid.org/0000-0002-2976-4157
Shuang LiuDepartment of Cardiovascular Medicine, The First Hospital of China Medical University, Shenyang, Liaoning, China.ORCID https://orcid.org/0000-0001-5209-4641
Yaping PanDepartment of Periodontics, School of Stomatology, China Medical University, Shenyang, Liaoning, China.
Chen LiDepartment of Periodontics, School of Stomatology, China Medical University, Shenyang, Liaoning, China.ORCID https://orcid.org/0000-0002-2849-6875
Shenyang Center for Disease Control and Prevention · CNChina Medical University · CNFirst Hospital of China Medical University · CNXian Central Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the epidemiological features of obesity in rural Northeast China.

designThis was a 2017-2018 cross-sectional study of 10,891 participants aged ≥40 years that was designed to investigate the prevalence of obesity in rural areas of Liaoning Province. Demographic data, biochemical parameters, and physical examinations were completed by well-trained personnel. Logistic regression analyses were then carried out to investigate independent risk factors and associated cardiometabolic comorbidities of obesity.

resultsThe proportions of general obesity only, central obesity only, and combined obesity were 1.0%, 31.3%, and 17.4%, respectively. Overall, 49.8% of our subjects were obese. Female gender, being married, being separated/divorced/widowed, or eating more meat were significantly associated with obesity. Smoking, higher family income, or regular physical exercise were negatively associated with obesity. General obesity only was significantly correlated with hypertension, diabetes, and high triglycerides (OR = 2.79, OR = 2.79, and OR = 3.37, resp.). General obesity only was irrelevant to high total cholesterol, low high-density lipoprotein cholesterol, and high low-density lipoprotein cholesterol, although central obesity only, or combined obesity, was relevant to these factors. Prehypertension and prediabetes showed a positive association with different types of obesity.

conclusionsWe identified a high prevalence of general and central obesity in rural Northeast China, with similar independent risk factors. Participants with combined obesity had the highest risk of cardiometabolic comorbidities, indicating that the combined use of both waist circumference and body mass index is useful in practice.

Indexed as

Rural PopulationAdultAgedAged, 80 and overChinaCholesterolComorbidityCross-Sectional StudiesDiabetes MellitusFemaleHumansHypertensionMaleMiddle AgedObesityPrevalenceCholesterolTriglycerides

Identifiers

PMID31428641
PMCPMC6683798
OpenAlexW2962705127

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.