Evidence map›Paper›PMID 26963377›Full record

ArticlePloS one2016

Body Mass Index Is Better than Other Anthropometric Indices for Identifying Dyslipidemia in Chinese Children with Obesity.

Yanna Zhu, Zixian Shao, Jin Jing, Jun Ma, Yajun Chen, Xiuhong Li, Wenhan Yang, Li Guo, Yu Jin

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
4.5field-weighted citation impact, top 5% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

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  6. BIRTH WEIGHT AND OVERWEIGHT IN ADOLESCENTS: THE ERICA PROJECT IN THE CITY OF RECIFE, PERNAMBUCO.Revista paulista de pediatria : orgao oficial da Sociedade de Pediatria de Sao Paulo · 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

9 authors at 2 institutions in 1 country.

Yanna ZhuDepartment of Maternal and Child Health, School of Public Health, Global Health Institute, Sun Yat-sen University, Guangzhou, China.
Zixian ShaoDepartment of Maternal and Child Health, School of Public Health, Global Health Institute, Sun Yat-sen University, Guangzhou, China.
Jin JingDepartment of Maternal and Child Health, School of Public Health, Global Health Institute, Sun Yat-sen University, Guangzhou, China.
Jun MaInstitute of Child and Adolescent Health, School of Public Health, Peking University, Peking, China.
Yajun ChenDepartment of Maternal and Child Health, School of Public Health, Global Health Institute, Sun Yat-sen University, Guangzhou, China.
Xiuhong LiDepartment of Maternal and Child Health, School of Public Health, Global Health Institute, Sun Yat-sen University, Guangzhou, China.
Wenhan YangDepartment of Maternal and Child Health, School of Public Health, Global Health Institute, Sun Yat-sen University, Guangzhou, China.
Li GuoDepartment of Maternal and Child Health, School of Public Health, Global Health Institute, Sun Yat-sen University, Guangzhou, China.
Yu JinDepartment of Maternal and Child Health, School of Public Health, Global Health Institute, Sun Yat-sen University, Guangzhou, China.
Sun Yat-sen University · CNPeking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBody mass index (BMI), waist circumference (WC), and waist-to-hip ratio (WHR) are used in screening and predicting obesity in adults. However, the best identifier of metabolic complications in children with obesity remains unclear. This study evaluated lipid profile distribution and investigated the best anthropometric parameter in association with lipid disorders in children with obesity.

methodsA total of 2243 school children aged 7-17 years were enrolled in Guangzhou, China, in 2014. The anthropometric indices and lipid profiles were measured. Dyslipidemia was defined according to the US Guidelines for Cardiovascular Health and Risk Reduction in Children and Adolescents. The association between anthropometry (BMI, WC, and WHR) and lipid profile values was examined using chi-square analysis and discriminant function analysis. Information about demography, physical activity, and dietary intake was provided by the participant children and their parents.

resultsChildren aged 10-14 and 15-17 years old generally had higher triglyceride values but lower median concentration of total cholesterol, high-density lipoprotein cholesterol, and low-density lipoprotein cholesterol compared with children aged 7-9 years old (all P < 0.001). These lipid parameters fluctuated in children aged 10-14 years old. The combination of age groups, BMI, WC and WHR achieved 65.1% accuracy in determining dyslipidemic disorders. BMI correctly identified 77% of the total dyslipidemic disorders in obese children, which was higher than that by WHR (70.8%) (P< 0.05).

conclusionThe distribution of lipid profiles in Chinese children differed between younger and older age groups, and the tendency of these lipid levels remarkably fluctuated during 10 to 14 years old. BMI had better practical utility in identifying dyslipidemia among school-aged children with obesity compared with other anthropometric measures.

Indexed as

AnthropometryAsian PeopleBody Mass IndexAdolescentAge FactorsChildDiscriminant AnalysisDyslipidemiasFemaleHumansLipidsMaleObesityWaist CircumferenceWaist-Hip RatioLipids

Identifiers

PMID26963377
PMCPMC4786269
OpenAlexW2293238591

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Registered trials

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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.