Evidence mapPaperPMID 12046553Full record

ArticleBiomedical and environmental sciences : BES2002

Predictive values of body mass index and waist circumference for risk factors of certain related diseases in Chinese adults--study on optimal cut-off points of body mass index and waist circumference in Chinese adults.

Bei-Fan Zhou, Cooperative Meta-Analysis Group of the Working Group on Obesity in China

Registry-linked trialAbstract read
PubMed
In one paragraph

Article in Biomedical and environmental sciences : BES, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03151005 (Randomized Clinical Trial to Evaluate The Effect of Metformin-GLP-1 Receptor Agonist Versus Oral Contraceptive), which is not on this map. Cited by 1,327 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1,327citing papers in PubMed, 5 pooled it
3.0field-weighted citation impact, top 8% 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.

NCT03151005 phase4completedstarted 2017, after this paper: background citation

Randomized Clinical Trial to Evaluate The Effect of Metformin-GLP-1 Receptor Agonist Versus Oral Contraceptive (OC) Therapy on Reproductive Disorders and Cardiovascular Risks in Overweight Polycystic Ovarian Syndrome (PCOS) Patients

Ran2017Enrolled70Registered outcomes5Posted comparisons0ConditionsObesity, Overweight, Polycystic Ovary Syndrome (PCOS)ArmsMetformin-GLP-1 Receptor Agonist, Metformin-Oral Contraceptive(OC)
Open the trial in the graph
3 · Its place in the literature

Who cites it

1,327 citing papers in PubMed, 5 syntheses or guidelines pooled it, 1,609 citations in OpenAlex.

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  4. Body mass index and cancer survival: a meta-analysis of cohort studies.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
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  5. Efficacy and Safety of Tirzepatide on Weight Loss in Patients Without Diabetes Mellitus: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025 · on this map
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1,267 more citing papers are in PubMed but not listed here.

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

2 authors at 1 institution in 1 country.

Bei-Fan ZhouInstitute of Cardiovascular Disease, Chinese Academy of Medical Sciences.
Cooperative Meta-Analysis Group of the Working Group on Obesity in China
Chinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveFor prevention of obesity in Chinese population, it is necessary to define the optimal range of healthy weight and the appropriate cut-off points of BMI and waist circumference for Chinese adults. The Working Group on Obesity in China under the support of International Life Sciences Institute Focal point in China organized a meta-analysis on the relation between BMI, waist circumference and risk factors of related chronic diseases (e.g., high diabetes, diabetes mellitus, and lipoprotein disorders).

methods13 population studies in all met the criteria for enrollment, with data of 239,972 adults (20-70 year) surveyed in the 1990s. Data on waist circumference was available for 111,411 persons and data on serum lipids and glucose were available for more than 80,000. The study populations located in 21 provinces, municipalities and autonomous regions in mainland China as well as in Taiwan. Each enrolled study provided data according to a common protocol and uniform format. The Center for data management in Department of Epidemiology, Fu Wai Hospital was responsible for statistical analysis. RESULTS AND

conclusionThe prevalence of hypertension, diabetes, dyslipidemia and clustering of risk factors all increased with increasing levels of BMI or waist circumference. BMI at 24 with best sensitivity and specificity for identification of the risk factors, was recommended as the cut-off point for overweight, BMI at 28 which may identify the risk factors with specificity around 90% was recommended as the cut-off point for obesity. Waist circumference beyond 85 cm for men and beyond 80 cm for women were recommended as the cut-off points for central obesity. Analysis of population attributable risk percent illustrated that reducing BMI to normal range (< 24) could prevent 45%-50% clustering of risk factors. Treatment of obese persons (BMI > or = 28) with drugs could prevent 15%-17% clustering of risk factors. The waist circumference controlled under 85 cm for men and under 80 cm for women, could prevent 47%-58% clustering of risk factors. According to these, a classification of overweight and obesity for Chinese adults is recommended.

Indexed as

Body Mass IndexAdultAgedBody WeightChinaDiabetes MellitusFemaleHealth SurveysHumansHypertensionMaleMiddle AgedObesityReference ValuesRisk FactorsSex Factors

Identifiers

PMID12046553
OpenAlexW1675477531

What Socratic holds

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Registered trials

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 Socratic graph.