Age-period-cohort analysis for trends in body mass index in Ireland.

ABSTRACT:

Background

Obesity is a growing problem worldwide and can often result in a variety of negative health outcomes. In this study we aim to apply partial least squares (PLS) methodology to estimate the separate effects of age, period and cohort on the trends in obesity as measured by body mass index (BMI).

Methods

Using PLS we will obtain gender specific linear effects of age, period and cohort on obesity. We also explore and model nonlinear relationships of BMI with age, period and cohort. We analysed the results from 7,796 men and 10,220 women collected through the SLAN (Surveys of Lifestyle, attitudes and Nutrition) in Ireland in the years 1998, 2002 and 2007.

Results

PLS analysis revealed a positive period effect over the years. Additionally, men born later tended to

SUBMITTER: Jiang T 

PROVIDER: S-EPMC3852547 | biostudies-literature | 2013 Sep

REPOSITORIES: biostudies-literature