Opening book details…
Can I read Redefining the association of triglycerides with all-cause and Cardiovascular Disease Mortality in the Chinese population: a nationwide, population-based, prospective cohort study of 3.8 million Chinese adults on EtoBox?
Redefining the association of triglycerides with all-cause and Cardiovascular Disease Mortality in the Chinese population: a nationwide, population-based, prospective cohort study of 3.8 million Chinese adults by Guangyu Li & Linkang He & Xueke Bai & Shi Chen & Hao Dai & Guangda He & Yang Yang & Xiaoyan Zhang & Jianlan Cui & Xi Li & Chris Packard & Jan Boren & Liang Chen & Shengshou Hu is a book available to read on EtoBox.
What is Redefining the association of triglycerides with all-cause and Cardiovascular Disease Mortality in the Chinese population: a nationwide, population-based, prospective cohort study of 3.8 million Chinese adults about?
The Lancet Regional Health - Western Pacific, 63 (2025) 101689. doi:10.1016/j.lanwpc.2025.101689SummaryThe Lancet RegionalHealth - WesternBackground Current international guidelines on dyslipidemia were formulated based on the research performedPacific 2025;63:mostly in White populations. However, whether the association of triglycerides (TGs) with cardiovascular disease101689(CVD) differs between Chinese and White populations is unknown.Published Online xxxMethods 3,789,025 participants from the China Health Evaluation And risk Reduction through nationwide Team (ChinaHEART) were evaluated for the association between TGs and all-cause and CVD mortality with Cox101689regression models. The findings were tested for sex-specific differences and contrasted with another comparisoncohort of 434,919 UK Biobank participants.Findings 92,888 Chinese adults died during a median follow-up of 4.6 years. All-cause and CVD mortality initiallyincreased with TG elevation abruptly and plateaued in Chinese men, while U-shaped associations were seen inChinese women. In contrast, CVD risk increased incrementally with TGs in White people. Hazard ratios (95%confidence intervals) were 1.02 (0.97–1.07), 1
- Author
- Guangyu Li & Linkang He & Xueke Bai & Shi Chen & Hao Dai & Guangda He & Yang Yang & Xiaoyan Zhang & Jianlan Cui & Xi Li & Chris Packard & Jan Boren & Liang Chen & Shengshou Hu
- Publisher
- The Author(s)
- Published
- 2025
- Language
- EN
More by Guangyu Li & Linkang He & Xueke Bai & Shi Chen & Hao Dai & Guangda He & Yang Yang & Xiaoyan Zhang & Jianlan Cui & Xi Li & Chris Packard & Jan Boren & Liang Chen & Shengshou Hu
Similar books
- Association of High-density Lipoprotein Cholesterol with All-cause and Cause-specific Mortality in a Chinese Population of 3.3 Million Adults: a Prospective Cohort Study — Lu, Jiapeng; Han, Guiyuan; Liu, Xiaoying; Chen, Bowang; Peng, Ke; Shi, Yu; Zhang, Mei; Yang, Cui, Jianlan; Song, Lijuan; Xu, Wei; Yang, Hao; He, Wenyan; Zhang, Yan; Tian, Yuan; Li, Yichong; Li, Xi (2024)
- Dietary Fiber Intake and All-cause and Cause-specific Mortality: An Updated Systematic Review and Meta-analysis of Prospective Cohort Studies — Ramezani, Fatemeh; Pourghazi, Farzad; Eslami, Maysa; Gholami, Maryam; Mohammadian Khonsari, Nami; Ejtahed, Hanieh-Sadat; Larijani, Bagher; Qorbani, Mostafa (2024)
- Association of Blood Trihalomethane Concentrations with Risk of All-Cause and Cause-Specific Mortality in U.S. Adults: A Prospective Cohort Study
- Associations of Fat and Carbohydrate Intake with Cardiovascular Disease and Mortality: Prospective Cohort Study of UK Biobank Participants
- Prediabetes Transitions to Normoglycaemia or Type 2 Diabetes and Associated Risk Factors in the Obesity, Diabetes and Cardiovascular Disease Collaboration: an Individual-level Pooled Analysis of 19 Prospective Cohort Studies — Najmeh Davoodian MD & Mojtaba Lotfaliany PhD & Prof Rachel R Huxley PhD & Crystal Man Ying Lee PhD & Prof Julie A Pasco PhD & Robert J Adams MD & Prof Fereidoun Azizi MD & Prof Alain G Bertoni MD MPH & Prof Cecilia Björkelund MD & Prof Stephen... (2025)
- Spousal Depressive Symptoms and Partner's Subsequent Risk of Cardiovascular Diseases: A Nationwide Population-based Prospective Study in China — Guo, Yujia; Tian, Wenhua (2026)