Evidence map›Paper›PMID 27129304›Full record

ArticleLipids in health and disease2016

Gender and urban-rural difference in anthropometric indices predicting dyslipidemia in Chinese primary school children: a cross-sectional study.

Wei Zheng, Ai Zhao, Yong Xue, Yingdong Zheng, Yun Chen, Zhishen Mu, Peiyu Wang, Yumei Zhang

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Lipids in health and disease, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.9field-weighted citation impact, top 19% 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

10 citing papers in PubMed, 31 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Wei ZhengDepartment of Social Medicine and Health Education, School of Public Health, Peking University Health Science Center, Beijing, China.
Ai ZhaoDepartment of Social Medicine and Health Education, School of Public Health, Peking University Health Science Center, Beijing, China.
Yong XueCAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Science, Beijing, China.
Yingdong ZhengDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China.
Yun ChenDairy Research Institute, Inner Mongolia Mengniu Dairy (Group) Co. Ltd., Inner Mongolia, China.
Zhishen MuDairy Research Institute, Inner Mongolia Mengniu Dairy (Group) Co. Ltd., Inner Mongolia, China.
Peiyu WangDepartment of Social Medicine and Health Education, School of Public Health, Peking University Health Science Center, Beijing, China.
Yumei ZhangDepartment of Nutrition and Food Hygiene, School of Public Health, Peking University Health Science Center, Xueyuan Road 38, Haidian District, 100191, Beijing, China. zhangyumei111@gmail.com.
Peking University · CNChina National Center for Food Safety Risk Assessment · CNInstitute of Microbiology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChildhood dyslipidemia is a critical factor of lifelong health. Therefore, screening and controlling dyslipidemia from childhood is a practical healthy strategy. However, few studies have examined the performance of anthropometric predictors of dyslipidemia in Chinese children, let alone the potential gender and urban-rural disparity. Thus, we evaluated anthropometric indices predicting dyslipidemia by genders and living areas in Chinese children.

methodsData were from a health and nutrition survey conducted in seven urban areas and two rural areas in China between 2011 and 2012. The serum lipid levels of the participants were compared between genders and living areas. The body mass index z-score (BMI z-score), waist-hip ratio (WHR), waist-height ratio (WHtR), and mid-upper arm height ratio (MaHtR) were used as predictors. The receiver operating characteristic (ROC) analysis was performed to investigate the ability of anthropometric indices predicting dyslipidemia.

resultsA total of 773 participants (average age = 9.3 ± 1.7 y) were included. The prevalence of dyslipidemia was 10.9%. Anthropometric indices were all significantly related to blood lipid profiles in boys after adjustment for age. The areas under the ROC curves (ACUs) were significantly larger than 0.5 in boys (ranged between 0.66-0.73), and were larger in rural boys (ranged between 0.68 and 0.94). MaHtR and WHR were associated with the highest specificity (93.8%) and highest sensitivity (100%), respectively.

conclusionUsing anthropometric indices, screening for dyslipidemia may be more appropriate in boys than in girls in China, especially in rural boys. The BMI z-score, WHR, WHtR, and MaHtR were all significantly associated with dyslipidemia in boys; using WHR and MaHtR as indicators achieved the highest sensitivity and specificity, respectively.

Indexed as

AnthropometryBody Mass IndexChildChinaCross-Sectional StudiesDyslipidemiasFemaleHumansLipidsMaleRisk FactorsROC CurveRural HealthUrban HealthWaist-Hip RatioLipidsBody mass indexDyslipidemiaMid-upper arm height ratioSerum lipidWaist-hip ratio

Identifiers

PMID27129304
PMCPMC4851820
OpenAlexW2344950974

What Socratic holds

Textmetadata
LicenceCC BY
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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.