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Research Article
Effect of Environmental Factors on Obesity: A Quantile Regression
Approach
Author(s): Anthony J Payne, Julia A Knight and Taraneh AbarinAnthony J Payne, Julia A Knight and Taraneh Abarin
Objectives: This study explored associations of environmental factors with percent trunk fat (PTF) and body mass index (BMI), using quantile regression to explain variability in these traits at percentiles of the distributions.
Methods: Using a sample of 1695 adults from Newfoundland and Labrador, multiple and quantile regression models were used to analyse the significance of environmental factors on the average population and upper percentiles of the BMI and PTF distributions.
Results: Higher physical activity was associated with significantly lower PTF and BMI in the average population and upper percentiles, regardless of age. Both genders in percentiles closer to the median of PTF had more benefit with increased physical activity compared to higher percentiles. Interestingly, adults in higher percentiles of BMI dis.. Read More»
DOI:
10.4172/2155-6180.1000293
Journal of Biometrics & Biostatistics received 3496 citations as per Google Scholar report