Revista Brasileira de Epidemiologia (Dec 2012)

Fatores associados à inatividade física em adolescentes de 10-14 anos de idade, matriculados na rede pública de ensino do município de Salvador, BA Factors associated with physical inactivity in adolescents aged 10-14 years, enrolled in the public school network of the city of Salvador, Brazil

  • Carlos Fernando de Amorim Alves,
  • Rita de Cássia Ribeiro Silva,
  • Ana Marlúcia Oliveira Assis,
  • Carine de Oliveira Souza,
  • Elizabete de Jesus Pinto,
  • Deivis Elton Schlickmann Frainer

Journal volume & issue
Vol. 15, no. 4
pp. 858 – 870

Abstract

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OBJETIVO: Investigar os fatores associados à inatividade física em adolescentes de Salvador, BA. MÉTODOS: Trata-se de um estudo transversal, realizado com 803 jovens de 10 a 14 anos, matriculados na rede pública de ensino da cidade de Salvador, BA. Foram coletados dados referentes ao nível de atividade física (variável dependente), hábitos sedentários, dados demográficos, socioeconômicos, maternos e antropométricos (variáveis independentes). Optou-se pela análise de Poisson multivariada para as análises estatísticas de interesse. RESULTADOS: A prevalência da inatividade física foi de 49,6% (IC 95% 46,14 - 53,06); sendo maior entre as moças (feminino: 59,9%; masculino: 39%, p OBJECTIVE: To investigate the factors associated to the physical inactivity among teenagers in Salvador, BA. METHODOLOGY: A cross-sectional study was made with 803 teenagers from 10 to 14 years old, enrolled in public high schools in Salvador, BA. Information concerning physical activity levels (dependent variable), sedentary behavior, demographic, anthropometric, socioeconomic and maternal characteristics (independent variables) were collected. The Poisson multivariate analysis was chosen to analyze the statistical data. RESULTS: The prevalence of physical inactivity was 49,6% (CI 95% 46,14 - 53,06); with higher standards between females (girls: 59,9%; boys: 39%, p < 0,001). With the multivariate analyses, it was verified a inverse association between physical inactivity and family economical condition that was classified in D/E worse economical levels either among males (PR = 0,73, CI 95%, 0,54 - 0,046), as among females (PR = 0,79; CI 95%; 0,66 - 0,96). In complementary analysis according to domains of physical activity, It was observed a significant decrease of physical inactivity in displacement domain between teenagers of lower economical levels (Boys - Classes B1/B2/C1 = 20,6%, C2 = 11%, D/E = 6%, p = 0,001; Girls - Classes B1/B2/C1 = 26,7%, C2 = 12,5%, D/E = 10,8%, p = 0,003). CONCLUSIONS: The prevalence of physical inactivity is high among the studied teenagers. Youths with lower economical levels are more active comparing with those with higher economical standards. Moreover, the association between physical activity and economical condition is influenced by physical activity domain that was investigated.

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