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      Barriers to physical activity and markers of adiposity in university students Translated title: Barreras para la práctica de la actividad física y marcadores de adiposidad en estudiantes universitarios Translated title: Barreiras à prática de atividade física e marcadores de adiposidade em universitários

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          Abstract

          ABSTRACT In this study the objective was to establish the association between physical activity barriers and adiposity markers in university students. A cross sectional descriptive study was executed. Anthropometric assessment, sociodemographic data survey and physical activity barrier perception questionnaire were applied to 211 students. The most frequent barriers were lack of time, energy and free will. It was found greater value in indicators of adiposity in men and association between the barriers lack of time, skills and fear of injury, with a higher body mass index. It was found a relationship between barriers to physical activity and adiposity markers, relevant aspects in the strategies of promotion of physical activity and weight control.

          Translated abstract

          RESUMEN El objetivo del estudio fue establecer asociación entre barreras para la práctica de actividad física y marcadores de adiposidad en universitarios. A través de un estudio transversal, se realizó valoración antropométrica, se aplicó encuesta de datos sociodemográficos y cuestionario de percepción de barreras para la práctica de la actividad física en 211 estudiantes. Las barreras más frecuentes son falta de tiempo, de energía y de voluntad. Se encontró mayor valor en indicadores de adiposidad en hombres y asociación entre las barreras falta de tiempo, de habilidades y miedo a lastimarse, con un mayor índice de masa corporal. Como conclusión, se encontró relación entre barreras para la actividad física y marcadores de adiposidad, aspectos relevantes en las estrategias de promoción de actividad física y control de peso.

          Translated abstract

          RESUMO O objetivo do estudo foi estabelecer associação entre barreiras à prática de atividade física e marcadores de adiposidade em universitários. Foi realizado un estudo transversal. Foi realizada avaliação antropométrica, levantamento de dados sociodemográficos e aplicado questionário de percepção de barreiras à prática de atividade física em 211 alunos. As barreiras mais frequentes são falta de tempo, energia e vontade. Maior valor foi encontrado nos indicadores de adiposidade em homens e associação entre as barreiras, falta de tempo, habilidade e medo de machucar, com maior índice de massa corporal. Foi encontrada relação entre barreiras à atividade física e marcadores de adiposidade, aspectos relevantes nas estratégias de promoção da atividade física e controle de peso.

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          Most cited references35

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          A systematic review of waist-to-height ratio as a screening tool for the prediction of cardiovascular disease and diabetes: 0·5 could be a suitable global boundary value.

          This systematic review collated seventy-eight studies exploring waist-to-height ratio (WHtR) and waist circumference (WC) or BMI as predictors of diabetes and CVD, published in English between 1950 and 2008. Twenty-two prospective analyses showed that WHtR and WC were significant predictors of these cardiometabolic outcomes more often than BMI, with similar OR, sometimes being significant predictors after adjustment for BMI. Observations from cross-sectional analyses, forty-four in adults, thirteen in children, supported these predictions. Receiver operator characteristic (ROC) analysis revealed mean area under ROC (AUROC) values of 0·704, 0·693 and 0·671 for WHtR, WC and BMI, respectively. Mean boundary values for WHtR, covering all cardiometabolic outcomes, from studies in fourteen different countries and including Caucasian, Asian and Central American subjects, were 0·50 for men and 0·50 for women. WHtR and WC are therefore similar predictors of diabetes and CVD, both being stronger than, and independent of, BMI. To make firmer statistical comparison, a meta-analysis is required. The AUROC analyses indicate that WHtR may be a more useful global clinical screening tool than WC, with a weighted mean boundary value of 0·5, supporting the simple public health message 'keep your waist circumference to less than half your height'.
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            Methods for estimating prevalence ratios in cross-sectional studies.

            To empirically compare the Cox, log-binomial, Poisson and logistic regressions to obtain estimates of prevalence ratios (PR) in cross-sectional studies. Data from a population-based cross-sectional epidemiological study (n = 2072) on elderly people in Sao Paulo (Southeastern Brazil), conducted between May 2003 and April 2005, were used. Diagnoses of dementia, possible cases of common mental disorders and self-rated poor health were chosen as outcomes with low, intermediate and high prevalence, respectively. Confounding variables with two or more categories or continuous values were used. Reference values for point and interval estimates of prevalence ratio (PR) were obtained by means of the Mantel-Haenszel stratification method. Adjusted PR estimates were calculated using Cox and Poisson regressions with robust variance, and using log-binomial regression. Crude and adjusted odds ratios (ORs) were obtained using logistic regression. The point and interval estimates obtained using Cox and Poisson regressions were very similar to those obtained using Mantel-Haenszel stratification, independent of the outcome prevalence and the covariates in the model. The log-binomial model presented convergence difficulties when the outcome had high prevalence and there was a continuous covariate in the model. Logistic regression produced point and interval estimates that were higher than those obtained using the other methods, particularly when for outcomes with high initial prevalence. If interpreted as PR estimates, the ORs would overestimate the associations for outcomes with low, intermediate and high prevalence by 13%, almost by 100% and fourfold, respectively. In analyses of data from cross-sectional studies, the Cox and Poisson models with robust variance are better alternatives than logistic regression is. The log-binomial regression model produces unbiased PR estimates, but may present convergence difficulties when the outcome is very prevalent and the confounding variable is continuous.
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              Prevalence of Overweight/Obesity and Its Associated Factors among University Students from 22 Countries

              Obesity among young people increases lifetime cardiovascular risk. This study assesses the prevalence of overweight/obesity and its associated factors among a random sample of university students from 22 universities in 22 low, middle income and emerging economy countries. This cross-sectional survey comprised of a self-administered questionnaire and collected anthropometric measurements. The study population was 6773 (43.2%) males and 8913 (56.8%) females, aged 16 to 30 years (mean 20.8 years, SD = 2.6). Body mass index (BMI) was used for weight status. Among men, the prevalence of underweight was 10.8%, normal weight 64.4%, overweight 18.9% and obesity 5.8%, while among women, the prevalence of underweight was 17.6%, normal weight 62.1%, overweight 14.1% and obesity 5.2%. Overall, 22% were overweight or obese (24.7% men and 19.3% women). In multivariate regression among men, younger age, coming from a higher income country, consciously avoiding fat and cholesterol, physically inactivity, current tobacco use and childhood physical abuse, and among women older age, coming from a higher income country, frequent organized religious activity, avoiding fat and cholesterol, posttraumatic stress symptoms and physical childhood abuse were associated overweight or obesity. Several gender specific risk factors identified can be utilized in health promotion programmes.
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                Author and article information

                Journal
                rbce
                Revista Brasileira de Ciências do Esporte
                Rev. Bras. Ciênc. Esporte
                Colégio Brasileiro de Ciências do Esporte (Brasília, DF, Brazil )
                2179-3255
                2022
                : 44
                : e012321
                Affiliations
                [02] Medellín orgnameUniversity of Antioquia orgdiv1Faculty of Medicine Colombia
                [03] Pamplona orgnameUniversity of Pamplona orgdiv1Faculty of Education Colombia
                [01] Pamplona orgnameUniversity of Pamplona orgdiv1Faculty of Health orgdiv2Department of Physiotherapy Colombia
                Article
                S0101-32892022000100209 S0101-3289(22)04400000209
                10.1590/rbce.44.e012321
                2fbaddf1-f8d0-4c76-855a-e8dc363e68b9

                This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

                History
                : 30 December 2021
                : 24 February 2022
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 35, Pages: 0
                Product

                SciELO Brazil

                Categories
                Original Article

                Overweight,Physical activity,Antropometria,Motivação,Excesso de peso,Actividade física,Antropometría,Motivación,Sobrepeso,Actividad física,Anthropometry,Motivation

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