Unravelling the effects of age, period and cohort on metabolic syndrome components in a Taiwanese population using partial least squares regression.

ABSTRACT:

Background

We investigate whether the changing environment caused by rapid economic growth yielded differential effects for successive Taiwanese generations on 8 components of metabolic syndrome (MetS): body mass index (BMI), systolic blood pressure (SBP), diastolic blood pressure (DBP), fasting plasma glucose (FPG), triglycerides (TG), high-density lipoprotein (HDL), Low-density lipoproteins (LDL) and uric acid (UA).

Methods

To assess the impact of age, birth year and year of examination on MetS components, we used partial least squares regression to analyze data collected by Mei-Jaw clinics in Taiwan in years 1996 and 2006. Confounders, such as the number of years in formal education, alcohol intake, smoking history status, and betel-nut chewing were adjusted for.

Resul

SUBMITTER: Tu YK 

PROVIDER: S-EPMC3117818 | biostudies-literature | 2011 May

REPOSITORIES: biostudies-literature