Background: Physical activity enhances quality of life and body image in obese. Behavioural changes are useful tools to increase life conditions of this population. Aim: To evaluate the physical activity level of candidates to bariatric surgery and its relation with quality of life and body image, when patients are encouraged weekly by personal trainers.
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Method: This is a prospective, interventional and longitudinal study with quantitative analysis. Patients were divided into two groups, control (n=28) and interventional (n= 10). Both groups received physical activity and nutritional recommendations and psychological support. Were used the SF36 and Body Shape questionnaires to assess physical activity level and body image and pedometers to count weekly steps. Patients were followed during 12 weeks.
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Results: Were found significant difference in the domains physical activity (p=0.019), pain (p=0.0001) and health general status (p=0.021). No significant difference in body weight (p=0.095) was noted. Conclusion:When assisted by personal trainers, obese patients can change behavior, increase health quality and physical activity levels and experience less pain. Increase in physical activity, when well structured can benefit these patients.
The present study had a positive appreciation in the ethics Committee on Research with human beings of UFPE, under the CAAE-26594314.3.0000.5208, meeting the standards of resolution 466/12 of the National Health Council.
Method Statistical analysisDescriptive statistical analysis of frequency was used for sociodemographic and clinical data, descriptive statistics of mean and standard deviation for the dimensions of quality of life obtained by the SF-36 and correlational statistics of the data between the two Moments (pre and post).The use of descriptive statistics techniques aims to characterize the sample universe to be researched. Location and dispersion measurements were used to describe the collected data. Among the first, mean and median (Med.) were calculated, which are measures of central tendency. The dispersion measures estimate the variability existing in the data. For this purpose, it is estimated the standard error, the coefficient of variation (CV) and the standard deviation (s). It was also done a study of linear correlations be-
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