Evidence map›Paper›PMID 37199474›Full record

ArticleJournal of global health2023

Difference of glucose and lipid metabolism abnormalities and body fat between the Chinese and USA teenagers.

Yiwen Huang, Liwang Gao, Hong Cheng, Xi Wang, Hongbo Dong, Yinkun Yan, Xiaoyuan Zhao, Junting Liu, Xinying Shan, Jie Mi

Open access · goldAbstract read
In one paragraph

Article in Journal of global health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

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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

10 authors at 3 institutions in 1 country.

Yiwen Huang *Center for Non-communicable Disease Management, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China.
Liwang Gao *Center for Non-communicable Disease Management, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China.
Hong Cheng *Department of Epidemiology, Capital Institute of Pediatrics, Beijing, China.
Xi WangCenter for Non-communicable Disease Management, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China.
Hongbo DongCenter for Non-communicable Disease Management, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China.
Yinkun YanCenter for Non-communicable Disease Management, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China.
Xiaoyuan ZhaoDepartment of Epidemiology, Capital Institute of Pediatrics, Beijing, China.
Junting LiuDepartment of Epidemiology, Capital Institute of Pediatrics, Beijing, China.
Xinying ShanDepartment of Epidemiology, Capital Institute of Pediatrics, Beijing, China.
Jie MiCenter for Non-communicable Disease Management, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China.
Capital Institute of Pediatrics · CNBeijing Children’s Hospital · CNCapital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Comparing body fat and the effect of body fat on metabolic abnormalities in Chinese and USA teenagers may provide clues for the early prevention and control of cardiovascular disease (CVD). We aimed to compare the prevalence of glucose and lipid metabolism abnormalities, body fat amount and distribution, and the effect of body fat on glucose and lipid metabolism in Chinese and US teenagers. Methods: We included 5424 Chinese teenagers (48.5% male) from the China Child and Adolescent Cardiovascular Health (CCACH) study and 8704 USA teenagers (55.6% male) from the USA National Health and Nutrition Examination Survey (NHANES). Blood lipid, blood glucose, and body fat indicators were obtained using the same standardised measurements. Results: The prevalence of dyslipidaemia in Chinese teenagers was of those in the USA (hypercholesterolaemia = 3.5% vs 7.4%; high low-density lipoprotein cholesterol (LDL-C) = 3.6% vs 5.0%; low high-density lipoprotein cholesterol (HDL-C) = 9.9% vs 14.3%; hypertriglyceridaemia = 3.7% vs 10.1%) (P < 0.05). However, with the increase in body mass index (BMI), the prevalence of high LDL-C increased more in Chinese than in US teenagers, even exceeding them in the obese group (2.7% in non-overweight to 9.7% in overweight group in China, P < 0.05; 3.5% in non-overweight to 6.5% in the obese group in the USA, P < 0.05). The prevalence of impaired fasting glucose was higher in China than in the USA (28.0% vs 17.5%, P < 0.05). Besides, Chinese adolescents are more likely to accumulate fat in the abdomen, and the per-unit fat increase would bring a higher risk of dyslipidaemia in Chinese boys than in USA boys. Conclusions: Dyslipidaemia was more prevalent in US teenagers than in Chinese teenagers, but with the increase in BMI, the prevalence of high LDL-C increased more in Chinese than in US teenagers. Impaired fasting glucose (IFG) was significantly more prevalent in China than in the USA. The unfavoured body fat and higher risk of body fat on metabolic disorders in Chinese teenagers suggest that Chinese teenagers should pay more attention to the adverse effect of body fat on metabolic abnormalities.

Indexed as

DyslipidemiasGlucoseAdipose TissueAdolescentCholesterolCholesterol, HDLCholesterol, LDLEast Asian PeopleFemaleHumansLipid MetabolismMaleNutrition SurveysObesityRisk FactorsUnited StatesCholesterolCholesterol, HDLCholesterol, LDLGlucose

Identifiers

PMID37199474
PMCPMC10193895
OpenAlexW4377010634

What OpenQuestion holds

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LicenceCC BY
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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.