Evidence map›Paper›PMID 31961891›Full record

ArticlePloS one2020

The predictive value of anthropometric indices for cardiometabolic risk factors in Chinese children and adolescents: A national multicenter school-based study.

Yamei Li, Zhiyong Zou, Jiayou Luo, Jun Ma, Yinghua Ma, Jin Jing, Xin Zhang, Chunyan Luo, Hong Wang, Haiping Zhao and 2 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
9.0field-weighted citation impact, top 2% 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

18 citing papers in PubMed, 2 syntheses or guidelines pooled it, 54 citations in OpenAlex.

  1. Pooled it
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  7. Prevalence and associated factors of hypertension among primary school children: A cross-sectional study in Kuching, Sarawak.Malaysian family physician : the official journal of the Academy of Family Physicians of Malaysia · 2023
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  13. Dyslipidemia, Obesity, and Ethnicity in Mexican Children.International journal of environmental research and public health · 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

12 authors at 9 institutions in 2 countries.

Yamei LiDepartment of Maternal and Child Health, Xiangya School of Public Health, Central South University, Changsha, Hunan Province, China.
Zhiyong ZouInstitute of Child and Adolescent Health, Peking University School of Public Health, National Health Commission Key Laboratory of Reproductive Health, Beijing, China.
Jiayou LuoDepartment of Maternal and Child Health, Xiangya School of Public Health, Central South University, Changsha, Hunan Province, China.
Jun MaInstitute of Child and Adolescent Health, Peking University School of Public Health, National Health Commission Key Laboratory of Reproductive Health, Beijing, China.
Yinghua MaInstitute of Child and Adolescent Health, Peking University School of Public Health, National Health Commission Key Laboratory of Reproductive Health, Beijing, China.
Jin JingDepartment of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong Province, China.
Xin ZhangSchool of Public Health, Tianjin Medical University, Tianjin, China.
Chunyan LuoDepartment of School Health, Shanghai Municipal Center for Disease Control and Prevention & Shanghai Institutes of Preventive Medicine, Shanghai, China.
Hong WangSchool of Public Health and Management, Chongqing Medical University, Chongqing, China.
Haiping ZhaoSchool of Public Health and Management, Ningxia Medical University, Yinchuan, Ningxia Hui Autonomous Region, China.
Dehong PanLiaoning Health Supervision Bureau, Shenyang, Liaoning Province, China.
Peng JiaFaculty of Geo-information Science and Earth Observation, University of Twente, Enschede, The Netherlands.
Central South University · CNPeking University · CNChongqing Public Health Medical Center · CNNational Health and Family Planning Commission · CNNingxia Medical University · CNShanghai Municipal Center For Disease Control Prevention · CNSun Yat-sen University · CNTianjin Medical University · CNUniversity of Twente · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aimed to assess the accuracy of body mass index (BMI) percentile, waist circumference (WC) percentile, waist-height ratio, and waist-hip ratio for identifying cardiometabolic risk factors in Chinese children and adolescents stratified by sex and BMI categories.

methodsWe measured anthropometric indices, fasting plasma glucose, lipid profile and blood pressure for 15698 participants aged 6-17 in a national survey between September and December 2013. The predictive accuracy of anthropometric indices for cardiometabolic risk factors was examined using receiver operating characteristic (ROC) analyses. The DeLong test and Z test were used for the comparisons of areas under ROC curves (AUCs).

resultsThe prevalence of impaired fasting glucose, dyslipidemia, hypertension and cluster of risk factors were 2.9%, 27.3%, 10.5% and 5.7% respectively. The four anthropometric indices showed poor to fair discriminatory ability for cardiometabolic risk factors with the AUCs ranging from 0.53-0.72. Each index performed significantly better AUCs for dyslipidemia (0.59-0.63 vs. 0.56-0.59), hypertension (0.62-0.70 vs. 0.55-0.65) and clustered risk factors (0.70-0.73 vs. 0.60-0.64) in boys than that in girls. BMI percentile performed the best accuracy for hypertension in both sexes; WC percentile had the highest AUC for dyslipidemia and BMI percentile and waist-height ratio performed similarly the best AUCs for clustered risk factors in boys while BMI percentile, WC percentile and waist-height ratio performed similar and better AUCs for dyslipidemia and clustered risk factors in girls; whereas waist-hip ratio was consistently the poorest predictor for them regardless of sex. Though the anthropometric indices were more predictive of dyslipidemia, hypertension and clustered risk factors in overweight/obese group compared to their normal BMI peers, the AUCs in overweight/obese group remained in the poor range below 0.70.

conclusionsAnthropometric indices are not effective screening tools for pediatric cardiometabolic risk factors, even in overweight/obese children.

Indexed as

AdolescentBody Weights and MeasuresCardiovascular DiseasesChildCross-Sectional StudiesFemaleHumansMaleRisk AssessmentRisk Factors

Identifiers

PMID31961891
PMCPMC6974264
OpenAlexW3001886120

What Socratic 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 Socratic graph.