Epidemiology
Obesity (2008) 16 12, 2676–2681. doi:10.1038/oby.2008.429
Confirming a Biological Pathway in the Metabolic Syndrome—Insight from the NHANES 1999–2002
Lian-Yu Lin1, Hsu-Ko Kuo1, Hung-Yuan Li1, Juey-Jen Hwang1,2 and Jou-Wei Lin2,3
- 1Department of Internal Medicine, National Taiwan University Hospital and College of Medicine, National Taiwan University, Taipei, Taiwan
- 2Cardiovascular Center, National Taiwan University Hospital Yun-Lin Branch, Dou-Liou City, Taiwan
- 3Institute of Electrical Engineering, National Chung-Cheng University, Chia-Yi, Taiwan
Correspondence: Jou-Wei Lin (jouweilin@yahoo.com)
Received 8 March 2008; Accepted 18 June 2008; Published online 9 October 2008.
Abstract
The objective of this study was to examine the role of obesity in the development of the metabolic syndrome (MS). A total of 3,596 whites aged 19 years and above, who participated in the National Health and Nutrition Examination Survey (NHANES) 1999–2002, were included for analysis. Anthropometric measurements, biochemical profiles, and high-sensitivity C-reactive protein (CRP) were measured. A structural equation model (SEM) was constructed to elucidate a pathway in which obesity initiated the cascade leading to full MS. The results of SEM demonstrated that obesity was positively associated with elevated CRP level (B = 0.05, P < 0.001). This higher inflammatory state directed to insulin resistance (B = 0.32, P < 0.001), which in turn was positively associated with dyslipidemia (B = 0.06, P < 0.001). Obesity could also directly and positively affect blood pressure (B = 0.51, P < 0.001), without the mediation of insulin resistance and/or inflammation. The results of the cross-sectional analysis in the white subjects have shown that obesity has a strong influence on hypertension that obtains little additional influence from inflammation or insulin resistance. The metabolic profile in the NHANES group has been confirmatory with the statement that there is a sequential effect from obesity to inflammation, insulin resistance, and dyslipidemia. This approach has allowed to inferring important biological insights about the nature of the relationships among the components of MS.

