Evidence map›Paper›PMID 27279794›Full record

ArticleInternational journal of medical sciences2016

Longitudinal Associations between Triglycerides and Metabolic Syndrome Components in a Beijing Adult Population, 2007-2012.

Li-Xin Tao, Kun Yang, Xiang-Tong Liu, Kai Cao, Hui-Ping Zhu, Yan-Xia Luo, Jin Guo, Li-Juan Wu, Xia Li, Xiu-Hua Guo

Abstract read
In one paragraph

Article in International journal of medical sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

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0cells of the map it votes in
12citing papers in PubMed
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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

The trial behind it

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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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Mechanisms of Oxidative Stress in Metabolic Syndrome.International journal of molecular sciences · 2023
    Review
  4. Review
  5. Article
  6. Body Composition and Biological Functioning in Polish Perimenopausal Women with Type 2 Diabetes.International journal of environmental research and public health · 2021
    Article
  7. Article
  8. Article
  9. Multiple metabolic pathways are predictive of ricin intoxication in a rat model.Metabolomics : Official journal of the Metabolomic Society · 2019
    Article
  10. Article
  11. Article
  12. Observational
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.

Li-Xin Tao1. School of Public Health, Capital Medical University, Beijing 100069, China; 2. Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing 100069, China.
Kun Yang1. School of Public Health, Capital Medical University, Beijing 100069, China; 2. Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing 100069, China.
Xiang-Tong Liu1. School of Public Health, Capital Medical University, Beijing 100069, China; 2. Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing 100069, China.
Kai Cao1. School of Public Health, Capital Medical University, Beijing 100069, China; 2. Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing 100069, China.
Hui-Ping Zhu1. School of Public Health, Capital Medical University, Beijing 100069, China; 2. Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing 100069, China.
Yan-Xia Luo1. School of Public Health, Capital Medical University, Beijing 100069, China; 2. Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing 100069, China.
Jin Guo1. School of Public Health, Capital Medical University, Beijing 100069, China; 2. Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing 100069, China.
Li-Juan Wu1. School of Public Health, Capital Medical University, Beijing 100069, China; 2. Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing 100069, China.
Xia Li1. School of Public Health, Capital Medical University, Beijing 100069, China; 2. Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing 100069, China; 3. Department of Epidemiology & Public Health, University College Cork, Cork 78746, Ireland.
Xiu-Hua Guo1. School of Public Health, Capital Medical University, Beijing 100069, China; 2. Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing 100069, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLongitudinal associations between triglycerides (TG) and other metabolic syndrome (MetS) components have rarely been reported. The purpose was to investigate the longitudinal association between TG and other MetS components with time.

methodsThe longitudinal study was established in 2007 on individuals who attended health check-ups at Beijing Tongren Hospital and Beijing Xiaotangshan Hospital. Data used in this study was based on 7489 participants who had at least three health check-ups over a period of 5-year follow up. Joint model was used to explore longitudinal associations between TG and other MetS components after adjusted for age.

resultsThere were positive correlations between TG and other MetS components except for high density lipoprotein (HDL), and the correlations increased with time. A negative correlation was displayed between TG and HDL, and the correlation also increased with time. Among all five pairs of TG and other MetS components, the marginal correlation between TG and body mass index (BMI) was the largest for both men and women. The marginal correlation between TG and fasting plasma glucose was the smallest for men, while the marginal correlation between TG and diastolic blood pressure was the smallest for women.

conclusionsThe longitudinal association between TG and other MetS components increased with time. Among five pairs of TG and other MetS components, the longitudinal correlation between TG and BMI was the largest. It is important to closely monitor subjects with high levels of TG and BMI in health check-up population especially for women, because these two components are closely associated with development of hypertension, diabetes, cardiovascular disease and other metabolic diseases.

Indexed as

AdultBlood GlucoseBlood PressureBody Mass IndexChinaCholesterol, HDLFemaleHumansLongitudinal StudiesMaleMetabolic SyndromeMiddle AgedRisk FactorsTriglyceridesBlood GlucoseCholesterol, HDLTriglyceridesJoint modelLongitudinal correlationMetabolic syndrome componentsTriglycerides

Identifiers

PMID27279794
PMCPMC4893559

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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.