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Evaluation of the Effect of Two Online Interventions -Watch Your Weight During the Holidays Program and the Relative 5:2 Fasting- for the Prevention of Body Weight Gain at 8 Weeks in Mexican Adults in the Covid-19 Pandemic

Universidad de Sonora · 2021
ClinicalTrials.gov · Datasets · License: Public Domain · 2021
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naobesityoverweightpreventionweight-gain
Introduction. Obesity is the main risk factor for the development of chronic degenerative diseases in Mexico and other countries around the world. Due to the difficulty of treating obesity, it is necessary to change the curative paradigm for a preventive one. A review showed that holiday periods during the year are critical points for weight gain. The holiday season is the festive period with the greatest impact on adults' body weight. Observational studies have shown that more than 50% of the annual weight is gained during this period. However, few preventive interventions in the festive period have been carried out globally. Additionally, the COVID-19 pandemic seems to be negatively affecting diet, physical activity and body weight. So preventive interventions are needed, especially those that can be implemented in an online format. The purpose of the study is to evaluate the effect of two online interventions -Watch your Weight during the Holidays Program and the Relative 5:2 Fasting - on the prevention of body weight gain from baseline to 8 weeks in comparison with a control group in Mexican adults during the COVID-19 pandemic. Methodology: This is a Pilot Randomized Controlled Trial (RCT). The primary outcome is the change in body weight from baseline to 8 weeks. Secondary outcomes are the percentage of retention / desertion of the participants, adherence to interventions, participant satisfaction scale, changes in other obesity parameters, biochemical, physical, and quality of life variables from baseline to 8 weeks. Obesity and quality of life parameters from baseline to 52 weeks are also secondary outcomes. The statistical analysis of the primary and secondary variables will be conducted, according to their distribution, by intention to treat and, secondarily, by completer´s analysis.
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