Evidence map›Paper›PMID 31827007›Full record

ArticleJournal of atherosclerosis and thrombosis2020

Metabolic Syndrome and Related Factors in Chinese Children and Adolescents: Analysis from a Chinese National Study.

Yanna Zhu, Hao Zheng, Zhiyong Zou, Jin Jing, Yinghua Ma, Haijun Wang, Jiayou Luo, Xin Zhang, Chunyan Luo, Hong Wang and 6 more

Abstract read
In one paragraph

Article in Journal of atherosclerosis and thrombosis, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Interplays of Dietary Fat with BMI andFood science & nutrition · 2024
    Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. Article
  17. Article
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

16 authors.

Yanna ZhuDepartment of Maternal and Child Health, School of Public Health, Sun Yat-sen University.
Hao ZhengDepartment of Maternal and Child Health, School of Public Health, Sun Yat-sen University.
Zhiyong ZouInstitute of Child and Adolescent Health, School of Public Health, Peking University.
Jin JingDepartment of Maternal and Child Health, School of Public Health, Sun Yat-sen University.
Yinghua MaInstitute of Child and Adolescent Health, School of Public Health, Peking University.
Haijun WangInstitute of Child and Adolescent Health, School of Public Health, Peking University.
Jiayou LuoDepartment of Maternal and Child Health, School of Public Health, Central South University.
Xin ZhangSchool of Public Health, Tianjin Medical University.
Chunyan LuoShanghai Municipal Center for Disease Control and Prevention & Shanghai Institute of Preventive Medicine.
Hong WangChongqing Medical University.
Haiping ZhaoNingxia Medical University.
Dehong PanLiaoning Health Supervision Bureau.
Per SangildDepartment of Nutrition and Sport, University of Copenhagen.
Biraj M KarmacharyaDepartment of Community Medicine, Kathmandu University, Nepal. & Sun Yat-sen Global Health Institute, Sun Yat-sen University.
Jun MaInstitute of Child and Adolescent Health, School of Public Health, Peking University.
Yajun ChenDepartment of Maternal and Child Health, School of Public Health, Sun Yat-sen University.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsMetabolic syndrome (MetS) has become a worldwide epidemic; however, few studies have described its status in Chinese children. This study aimed to estimate MetS status and its associations with geography, economic development, birth weight, and parental education of Chinese children and adolescents.

methodsData were derived from 15,045 participants aged 7-18 years across seven Chinese provinces. Physical measurement and blood tests were conducted to assess the five classical MetS components described by the International Diabetes Federation, including abdominal obesity (the essential component), high blood pressure, low high-density cholesterol (HDL-C), high triglyceride, and elevated fasting glucose (FG). Logistic regression was adopted to explore possible associations between MetS and other factors.

resultsOverall, MetS prevalence was 2.3%, higher in males (2.8% vs. 1.7% in females), northern regions (3.1%), more developed regions (2.9%), and older participants (aged 16-18 years) (P<0.05 for all). Among the five MetS components, abdominal obesity and low HDL-C level were most prevalent (21.8% and 14.4%), and 35.9% of the participants had at least one component. In logistic regression, MetS itself did not correlate with birth weight or parental education. High birth weight was positively correlated with abdominal obesity (odds ratio, 1.48) butnegatively associated with elevated FG (odds ratio, 0.49). Concusions: MetS itself was not common in Chinese children and adolescents, whereas its certain components were far more prevalent. Children from North China, more-developed areas, and at an older age were more likely to develop MetS. Strategies designed to prevent pediatric MetS in China should focus on prevalent components as well as its geographic and economic development predilections.

Indexed as

Metabolic SyndromeObesity, AbdominalSocial Determinants of HealthAdolescentBlood GlucoseCardiometabolic Risk FactorsChildChinaCholesterol, HDLFemaleHumansHypertensionMaleParentsPrevalencePreventive Health ServicesBlood GlucoseCholesterol, HDLTriglyceridesAbdominal obesityChildren and adolescentsMetabolic syndrome

Identifiers

PMID31827007
PMCPMC7355101

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.