Evidence map›Paper›PMID 28106792›Full record

ArticleNutrients2017

Prevalence and Correlates of Metabolic Syndrome in Chinese Children: The China Health and Nutrition Survey.

Peige Song, Jinyue Yu, Xinlei Chang, Manli Wang, Lin An

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

36 citing papers in PubMed, 56 citations in OpenAlex.

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  17. Simple Method to Predict Insulin Resistance in Children Aged 6-12 Years by Using Machine Learning.Diabetes, metabolic syndrome and obesity : targets and therapy · 2022
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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

5 authors at 3 institutions in 2 countries.

Peige SongDepartment of Child, Adolescent and Women's Health, School of Public Health, Peking University, Beijing 100191, China. peigesong@hsc.pku.edu.cn.
Jinyue YuDivision of Medicine, School of Life and Medical Science, University College London, London WC1E 6BT, UK. rmhajyy@ucl.ac.uk.
Xinlei ChangDepartment of Child, Adolescent and Women's Health, School of Public Health, Peking University, Beijing 100191, China. changxl_echo@163.com.
Manli WangDepartment of Child, Adolescent and Women's Health, School of Public Health, Peking University, Beijing 100191, China. 18354226871@163.com.
Lin AnDepartment of Child, Adolescent and Women's Health, School of Public Health, Peking University, Beijing 100191, China. anlinbjmu@163.com.
Peking University · CNUniversity College London · GBUniversity of Edinburgh · GB

Funding

UNIV OF NORTH CAROLINA CLINICAL NUTRITION RESEARCH UNITP30DK056350 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SUSAN M. SMITH · 1999 to 2026
$31.6M
MONITORING SOCIAL CHANGE: HEALTH, REPRODUCTION, AGINGR01HD030880 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ADAIR, LINDA S, POPKIN, BARRY M · 1994 to 2024
$27.0M
CHILD HEALTH EFFECTS OF RAPID SOCIO-DEMOGRAPHIC CHANGER01HD038700 · NICHD · UNIVERSITY OF NORTH CAROLINA CHAPEL HILL · PI POPKIN, BARRY M · 2000 to 2004
$1.5M
NICHD NIH HHS R01 HD030880NICHD NIH HHS R01 HD038700NIDDK NIH HHS P30 DK056350
6 · The paper itself

Abstract

Metabolic syndrome (MetS) is generally defined as a cluster of metabolically related cardiovascular risk factors which are often associated with the condition of insulin resistance, elevated blood pressure, and abdominal obesity. During the past decades, MetS has become a major public health issue worldwide in both adults and children. In this study, data from the China Health and Nutrition Surveys (CHNS) was used to assess the prevalence of MetS based on both the National Cholesterol Education Program Adult Treatment Panel III (NCEP-ATPIII) guidelines and the International Diabetes Federation (IDF) criteria, and to evaluate its possible correlates. A total of 831 children aged 7-18 years were included in this study, and 28 children were classified as having MetS as defined by the modified NCEP-ATPIII definition, which yielded an overall prevalence of 3.37%. Elevated blood pressure was the most frequent MetS component. The results of logistic regression models revealed that increased body mass index (BMI), hyperuricemia, and insulin resistance (IR) were all associated with the presence of MetS. To conclude, our study revealed the prevalence of MetS in Chinese children at the national level. Further large-scale studies are still needed to identify better MetS criteria in the general paediatric population in China.

Indexed as

Asian PeopleAdolescentBlood GlucoseBody Mass IndexBody WeightChildChinaCholesterol, HDLCholesterol, LDLFemaleHealth SurveysHumansHypertensionInsulinLogistic ModelsMaleBlood GlucoseCholesterol, HDLCholesterol, LDLInsulinTriglycerideschildrenChinaepidemiologymetabolic syndrome

Identifiers

PMID28106792
PMCPMC5295123
OpenAlexW2572897413

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.