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      Factores de riesgo del comportamiento y preparación de aficionados inscritos a carreras atléticas de fondo de 18 a 64 años en Bogotá, Colombia, 2014 Translated title: Behavioral risk factors and readiness in amateur marathon runners 18-64 years of age in Bogotá, Colombia, 2014 Translated title: Fatores de risco comportamentais e prontidão em corredores amadores de 18 a 64 anos, inscritos em corridas de fundo em Bogotá, Colômbia, 2014

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          Abstract

          La participación en carreras atléticas de calle ha aumentado; esto requiere detectar riesgos previos al esfuerzo físico. El objetivo fue identificar factores de riesgo del comportamiento y preparación física de inscritos a una carrera. Estudio transversal en aficionados de 18-64 años. Encuesta digital con módulos de IPAQ, Par-Q+ y STEPwise. Muestreo aleatorio sistemático con n = 510, para una inactividad física esperada de 35% (±5%). Se evaluó nivel de actividad física, consumo de alcohol (peligroso), de fruta, verdura, tabaco y sal, y preparación. El cumplimiento de actividad física fue 97,4%; 2,4% consume un nivel óptimo de fruta o verdura (diferencias por edad, sexo y estrato), 3,7% fuma y 44,1% consumo peligroso de alcohol. El 19,8% reportó Par-Q+ positivo y 5,7% requiere supervisión. Hay diferencias por trabajo y estudio. Los aficionados cumplen el nivel de actividad física; pero no de otros factores. Una estrategia de seguridad en el atletismo de calle es evaluar los factores de riesgo relacionados con el estilo de vida, así como la preparación.

          Translated abstract

          Participation in amateur street marathons has become increasingly popular and requires prior individual health risk assessment. The objective was to identify risk factors and readiness in registered runners. This was a cross-sectional study in a random sample (n = 510) of registered amateur runners 18-64 years of age, using a digital survey with IPAQ, Par-Q+, and STEPwise, with an expected physical inactivity rate of 35% (±5%). The study explored physical activity, (binge) alcohol consumption, fruit, vegetable, and salt intake, smoking, and readiness. Self-reported rates were: 97.4% recommended level of physical activity, 2.4% optimal fruit and vegetable intake, 3.7% smoking, and 44.1% binge drinking. 19.8% were Par-Q+ positive and 5.7% practiced supervised exercise. The analysis showed differences by age, sex, and socioeconomic status. Recreational runners followed the recommended levels of physical activity but did not score well on other risk factors. Prior evaluation of lifestyle-related risk factors and readiness provides a safer athletic strategy.

          Translated abstract

          A participação em corridas de rua tem aumentado; isto requer uma detecção de riscos prévios ao esforço físico. O objetivo foi identificar os fatores de risco de comportamento e de readiness nos inscritos em uma corrida atlética. Estudo transversal em aficionados de 18 a 64 anos. Foi aplicado um questionário digital com módulos do IPAQ, Par-Q+ e STEPwise. Uma amostra aleatória sistemática, n = 510, para uma inatividade física estimada em 35% (± 5%). Avaliou-se o nível de atividade física, o consumo perigoso de álcool, fruta, verdura, tabaco, sal e readiness. A realização de atividade física foi de 97,4%; 2,4% consomem níveis ideais de frutas ou verduras (diferenças de idade, sexo e estrato); 3,7% são fumantes; e 44,1% consomem álcool. Dezenove vírgula oito por cento relataram Par-Q+ positivo e 5,7% requerem exercício supervisionado. Existem diferenças de trabalho e estudo.Os corredores recreacionais atendem aos níveis de atividade física, mas não de outros fatores. Uma estratégia de atletismo seguro é avaliar os fatores de risco relacionados ao estilo de vida e readiness.

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          Most cited references128

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          The prevalence and clustering of four major lifestyle risk factors in an English adult population.

          The aim of this study was to examine the clustering of four major lifestyle risk factors (smoking, heavy drinking, lack of fruit and vegetables consumption, and lack of physical activity), and to examine the variation across different socio-demographic groups in the English adult population. The study population was derived from the 2003 Health Survey for England (n=11,492). Clustering was examined by comparing the observed and expected prevalence of the different possible combinations. A multinomial multilevel regression model was conducted to examine the socio-demographic variation in the clustering of the four risk factors. The study found that, when using British health recommendations, a majority of the English population have multiple lifestyle risk factors at the same time. Clustering was found at both ends of the lifestyle spectrum and was more pronounced for women than for men. Overall, multiple risk factors were more prevalent among men, lower social class households, singles, and people who are economically inactive, but less prevalent among home owners and older age groups. The clustering of multiple risk factors provides support for multiple-behavior interventions as opposed to single-behavior interventions.
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                Author and article information

                Contributors
                Role: ND
                Role: ND
                Journal
                csp
                Cadernos de Saúde Pública
                Cad. Saúde Pública
                Escola Nacional de Saúde Pública Sergio Arouca, Fundação Oswaldo Cruz
                1678-4464
                2016
                : 32
                : 4
                : e00066815
                Affiliations
                [1 ] Universidad del Rosario Colombia
                [2 ] Centro de Estudios de Medición de Actividad Física Colombia
                Article
                S0102-311X2016000400706
                10.1590/0102-311X00066815
                58853234-93cf-4436-83e8-990b4d519a13

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

                History
                Product

                SciELO Public Health

                Self URI (journal page): http://www.scielosp.org/scielo.php?script=sci_serial&pid=0102-311X&lng=en
                Categories
                Health Policy & Services

                Public health
                Atletas,Enfermedad Crónica,Factores de Riesgo,Running,Sudden Death,Athletes,Chronic Disease,Risk Factors,Corrida,Morte Súbita,Doença Crônica,Fatores de Risco,Carrera,Muerte Súbita

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