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


METHODS
The 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.


RESULTS
There 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.


CONCLUSIONS
The 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.
1. School of Public Health, Capital Medical University, Beijing 100069, China; 2. Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing 100069, China.
Li-Xin
LX
Tao
1. School of Public Health, Capital Medical University, Beijing 100069, China; 2. Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing 100069, China.
Kun
K
Yang
1. 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
XT
Liu
1. School of Public Health, Capital Medical University, Beijing 100069, China; 2. Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing 100069, China.
Kai
K
Cao
1. 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
HP
Zhu
1. 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
YX
Luo
1. School of Public Health, Capital Medical University, Beijing 100069, China; 2. Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing 100069, China.
Jin
J
Guo
1. 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
LJ
Wu
1. 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.
Xia
X
Li
1. School of Public Health, Capital Medical University, Beijing 100069, China; 2. Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing 100069, China.
Xiu-Hua
XH
Guo
D000328:Adult; D001786:Blood Glucose / Q000378:metabolism; D001794:Blood Pressure / Q000502:physiology; D015992:Body Mass Index; D002681:China; D008076:Cholesterol, HDL / Q000097:blood; D005260:Female; D006801:Humans; D008137:Longitudinal Studies; D008297:Male; D024821:Metabolic Syndrome / Q000097:blood*; D008875:Middle Aged; D012307:Risk Factors; D014280:Triglycerides / Q000097:blood*
D001786:Blood Glucose; D008076:Cholesterol, HDL; D014280:Triglycerides
Joint model; Longitudinal correlation; Metabolic syndrome components; Triglycerides