Evidence map›Paper›PMID 26844042›Full record

ArticlePreventive medicine reports2014

Association between leg length-to-height ratio and metabolic syndrome in Chinese children aged 3 to 6 years.

Gongshu Liu, Jian Liu, Nan Li, Zheying Tang, Fengrong Lan, Lei Pan, Xilin Yang, Gang Hu, Zhijie Yu

Abstract read
In one paragraph

Article in Preventive medicine reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

5 citing papers in PubMed.

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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.

Gongshu LiuTianjin Women and Children's Health Center, Tianjin, China.
Jian LiuDepartment of Community Health Sciences, Brock University, St. Catharines, ON, Canada, L2S 3A1.
Nan LiTianjin Women and Children's Health Center, Tianjin, China.
Zheying TangTianjin Women and Children's Health Center, Tianjin, China.
Fengrong LanTianjin Women and Children's Health Center, Tianjin, China.
Lei PanTianjin Women and Children's Health Center, Tianjin, China.
Xilin YangDepartment of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China.
Gang HuChronic Disease Epidemiology Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA, USA.
Zhijie YuDepartment of Community Health Sciences, Brock University, St. Catharines, ON, Canada, L2S 3A1; Population Cancer Research Program and Department of Pediatrics, Dalhousie University, Halifax, NS, B3H 4R2, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe aim of this study is to investigate the association between leg-length-to-height ratio (LLHR) and metabolic syndrome (MetS) among Chinese children.

methods1236 children (619 obese and 617 nonobese children) aged 3-6 years participated in a cross-sectional survey in 2005 in Tianjin, China. Information on body adiposity, metabolic traits, and related covariates was obtained using a standardized protocol. LLHR was calculated as the ratio of leg length to stature.

resultsIn the multivariable logistic regression analyses, compared with those in the lowest quartile, odds ratios (OR) and 95% confidence intervals (CI) of MetS among children in the second through the highest quartiles of LLHR Z-score were 0.89 (95% CI, 0.64-1.25), 0.45 (95% CI, 0.32-0.63), and 0.37 (95% CI, 0.26-0.53), respectively, (P for trend < 0.0001 across LLHR Z-score quartiles). Compared with children with both higher levels of LLHR and lower levels of adipose indices, the corresponding ORs of MetS for those with both lower levels of LLHR and higher levels of anthropometric indices were 4.51 (95% CI, 3.08-6.62) for BMI Z-score, 3.86 (95% CI, 2.60-5.73) for waist circumference, and 2.75 (95% CI, 1.85-4.10) for waist-to-hip ratio, respectively.

conclusionsGreater LLHR is inversely associated with MetS in Chinese children.

Indexed as

BMI, body mass indexCI, confidence intervalCVD, cardiovascular diseaseHDL, high-density lipoproteinLDL, low-density lipoproteinLeg length-to-height ratioLLHR, leg-length-to-height ratioMetabolic syndromeMetS, metabolic syndromeObesityOR, odds ratiosPediatricsPI, Ponderal indexT2D, type 2 diabetesWHR, waist-to-hip ratio

Identifiers

PMID26844042
PMCPMC4721392

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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.