ArticleScientific reports2018
A Study on the Factors Influencing Triglyceride Levels among Adults in Northeast China.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 27 citations in OpenAlex.
- Use machine learning models to identify and assess risk factors for coronary artery disease.PloS one · 2024Article
- Identifying Factors Related to Serum Lipids Using Multilevel Quantile Model: Analysis of Nationwide STEPs Survey 2016.International journal of preventive medicine · 2023Article
- Meta-analysis of the effects of smoking and smoking cessation on triglyceride levels.Toxicology reports · 2023Article
- Ultra sonographic indices of the carotid artery in healthy adult population of southwest, Nigeria: a cross-sectional study.The Pan African medical journal · 2023Article
- Article
- Genetic factors increase the identification efficiency of predictive models for dyslipidaemia: a prospective cohort study.Lipids in health and disease · 2021Article
- Waist Circumference as a Preventive Tool of Atherogenic Dyslipidemia and Obesity-Associated Cardiovascular Risk in Young Adults Males: A Cross-Sectional Pilot Study.Diagnostics (Basel, Switzerland) · 2020Article
- Association between standardized vitamin 25(OH)D and dyslipidemia: a community-based study in Riyadh, Saudi Arabia.Environmental health and preventive medicine · 2020Article
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Triglyceride (TG) abnormalities are the most prevalent type of dyslipidaemia in the people of northeast China. Many researchers have investigated the prevalence, treatment and control of TG abnormalities, but little is known about the associations between the TG values and the factors that influence TG levels. This study aims to reveal quantile-specific associations of TG with its risk factors. A sample of 16,340 participants in Jilin Province were included in this study. A quantile regression (QR) model was performed to identify the factors that affected TG levels in different quantiles. The distribution of TG levels was different between males and females (χ
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