Sedentary and active behaviors and their relationship with obesity: an analysis by Generalized Structural Equations Models
Recent changes related to lifestyles have increased physical inactivity, which has contributed to a higher prevalence of obesity, especially in low- and middle-income countries, including Colombia. Obesity is recognized and significantly associated with the practice of physical activity (PA), howeve...
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| Autores principales: | , , , |
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| Formato: | Artículo revista |
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Universidad Nacional Córdoba. Facultad de Ciencias Médicas. Secretaria de Ciencia y Tecnología
2022
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| Acceso en línea: | https://revistas.unc.edu.ar/index.php/med/article/view/38975 |
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| Sumario: | Recent changes related to lifestyles have increased physical inactivity, which has contributed to a higher prevalence of obesity, especially in low- and middle-income countries, including Colombia. Obesity is recognized and significantly associated with the practice of physical activity (PA), however, its role, from its multiple dimensions, has been scarcely studied in Latin America. The objective of this work was to identify latent constructs that represent behaviors in relation to PA (active and sedentary behaviors) that condition the presence of obesity, using a novel methodology in this study field such as Generalized Structural Equation Models (GSEM).
An observational-analytical cross-sectional study was conducted using data from the National Survey of Nutritional Status (ENSIN) 2015, carried out in Colombia. A sample of 16,005 people aged 18-64 years was extracted, from whom anthropometric and PA characteristics were collected (IPAQ survey). The obesity prevalence was estimated and explored by sex and age. By using GSEM and a Weibull distribution for the variables that represent types and times of AF, latent variables were constructed that describe "sedentary behaviors" (minutes/weeks dedicated to TV/Movies, use of PC/Cell phones, and use of video games) and "active behaviors" (minutes/week of walking, bicycle or car as a means of transportation). The effects of the new dimensions on the presence of Obesity (BMI≥30, Yes/No) were estimated using multiple logistic regression models, adjusted for age, sex, energy intake, wealth quartile and PA in leisure time.
The prevalence of obesity was 20.2% (95% CI: 19.5%-20.9%). The latent variables identified were called "Use of Screens" and "Active Transportation". This last construct was configured as a protective factor against obesity (significant inverse association, p=0.004), with bicycle use being its dominant variable.
Concluding, a new dimension of analysis about active behaviors is associated with the occurrence of obesity in Colombia, which is mainly characterized by the use of bicycles as a means of transportation. These results can be considered in the design of interventions aimed at promoting PA and preventing excess weight. |
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