@misc{10481/71279,
year = {2021},
url = {http://hdl.handle.net/10481/71279},
abstract = {Noncommunicable diseases are the main cause of death globally, and most are potentially
preventable; they are long term diseases and generally evolve slowly. In Uruguay 64.9% of the population between 25 and 64 years of age are either overweight or obese. The available scientific data
show that workplaces are good for developing food-intake interventions for a healthier life. The
present study aims to report the design, protocol and methodology for the evaluation of the food
intake and physical activity patterns of the Uruguayan State Electrical Company (UTE) workers, as
it is distributed across the whole country, and has established associations with overweight and
obesity in order to establish institutional strategies to improve the situation. This study uses a population and a cross-sectional, randomized, representative sample of UTE workers with a precision
of 3% and a confidence level of 95%. The considered anthropometric variables are weight, height,
waist circumference, percentage of fat mass and percentage of visceral fat. A questionnaire on frequency of consumption of different foods and two 24-h dietary recalls (24-h DR) will be performed
to evaluate the food intake. Accelerometry will be used to evaluate physical activity, and the International physical activity questionnaire (IPAQ) will be applied. Clinical data will be obtained from
the UTE clinical charts. This is the first study of its kind that will be undertaken in Uruguay. It is
registered under ClinicalTrials.gov Identifier nº NCT04509908.},
organization = {UTE},
publisher = {MDPI},
keywords = {Food intake},
keywords = {Lifestyle habits},
keywords = {Physical activity},
keywords = {Food consumption},
keywords = {Workers nutritional state},
keywords = {Food intake patterns},
keywords = {Nutrition surveys},
title = {Study of Food Intake and Physical Activity Patterns in the Working Population of the Uruguayan State Electrical Company (UTE): Design, Protocol and Methodology},
doi = {10.3390/nu13103545},
author = {Medina Vadora, María Mercedes and Severi, Cecilia Maria and Lecot, Carlos and Ruiz López, María Dolores and Gil Hernández, Ángel},
}