RESUMO
PURPOSE: Criterion-referenced cut-points for health-related fitness measures are lacking. This study aimed to determine the associations between aerobic fitness and high blood pressure levels (HBP) to determine the cut-points that best predict HBP among adolescents. METHOD: This cross-sectional school-based study with sample of 875 adolescents aged 14-19 years was conducted in southern Brazil. Aerobic fitness was assessed using the modified Canadian Aerobic Fitness Test (mCAFT). Systolic and diastolic blood pressure were measured by the oscillometric method with a digital sphygmomanometer. Analyses controlled for sociodemographic variables, physical activity, body mass and biological maturation. RESULTS: Receiver Operating Characteristic (ROC) curves demonstrated that mCAFT measures could discriminate HBP in both sexes (female: AUC = 0.70; male: AUC = 0.63). The cut-points with the best discriminatory power for HBP were 32 mL·kg-1·min-1 for females and 40 mL·kg-1·min-1 for males. Females (OR = 8.4; 95% CI: 2.1, 33.7) and males (OR: 2.5; CI 95%: 1.2, 5.2) with low aerobic fitness levels were more likely to have HBP. CONCLUSION: mCAFT measures are inversely associated with BP and cut-points from ROC analyses have good discriminatory power for HBP.
Assuntos
Hipertensão , Aptidão Física/fisiologia , Adolescente , Brasil , Estudos Transversais , Teste de Esforço , Feminino , Humanos , Masculino , Consumo de Oxigênio , Curva ROC , Valores de Referência , Adulto JovemRESUMO
The aim of this study was to identify prevalence and factors associated with violent behavior among adolescents in Aracaju and Metropolitan region. The study included 2207 adolescents (16.03±1.08 years old) enrolled in high schools of the State Public Network. Violent behavior was identified from question 14 of the YRBS-2007 questionnaire with responses categorized as "never" and "one or more times." Higher prevalence in males in relation to risk factors for adoption of violent behavior was found: cigarette consumption (7.3%), alcohol consumption (39.1%), and marijuana use (3.4%). Data analysis used descriptive statistics and logistic regression with hierarchical model at two levels: (a) sociodemographic variables and (b) behavioral variables. For both sexes, association between violent behavior and cigarette smoking (OR=3.77, CI 95%=2.06-6.92 and OR=1.99, CI 95%=1.04 to 3.81, male and female, resp.) and alcohol consumption (OR=3.38, CI 95%=2.22 to 5.16 and OR=1.83, CI 95%=1.28 to 2.63, male and female, resp.) was verified. It was concluded that violent behavior is associated with the consumption of alcoholic beverages and cigarettes among adolescents.
Assuntos
Comportamento do Adolescente/psicologia , Violência/psicologia , Violência/estatística & dados numéricos , Adolescente , Brasil/epidemiologia , Demografia , Feminino , Humanos , Masculino , Prevalência , Fatores de RiscoRESUMO
BACKGROUND: One of the difficulties in maintaining long-term adherence to exercise is the distance from home to the place of exercise. OBJECTIVE: To determine, for a private supervised exercise program (PSEP), the influence of the home-PSEP distance on adherence. METHODS: We identified 976 individuals and selected 796 who met the inclusion criteria. The home-PSEP distance was obtained by the Google Maps. Adherence was determined by quartiles (months): 1-4, 5-12, 13-36 and more than 36. The clinical conditions were stratified as healthy, obese and/or hypertensive and/or dyslipidemic and/or diabetic patients without coronary disease; coronary artery disease patients and other health problems like cancer, respiratory disease and panic. The home-PSEP distance was divided into (km): up to 1, 1 to 3, 3 to 10 and more than 10. For the statistical analysis, we used the Kruskal-Wallis ANOVA and the chi-square test. RESULTS: Of respondents, 46% lived up to 3 km, 39% lived between 3 and 10 km and about 15% lived more than 10 kilometers from the place of the PSEP. No differences were found between the medians of the months of participation in the PSEP as a function of home-PSEP distance (p = 0.11). CONCLUSION: For a given PSEP in the city of Rio de Janeiro, open from Monday through Saturday with free choice of time, the home-PSEP distance did not influence the adherence of participants. This was probably due to the quality of the service and/or lack of places closer to the participants' home.
Assuntos
Terapia por Exercício/estatística & dados numéricos , Acessibilidade aos Serviços de Saúde , Cooperação do Paciente/estatística & dados numéricos , Fatores Etários , Idoso , Análise de Variância , Brasil , Feminino , Sistemas de Informação Geográfica , Humanos , Masculino , Pessoa de Meia-Idade , Fatores Sexuais , Estatísticas não Paramétricas , Fatores de TempoRESUMO
FUNDAMENTO: Uma das dificuldades para a manutenção da aderência de longo prazo a exercícios é a distância entre domicílio e local de exercício. OBJETIVO: Determinar, para um programa de exercício físico supervisionado (PES) privado, a influência da distância domicílio-PES sobre a aderência. MÉTODOS: Foram identificados 976 sujeitos e selecionados 796 que atendiam aos critérios de inclusão. A distância domicílio-PES foi obtida pelo Google Maps. A aderência foi determinada em quartis (meses): de 1 a 4, 5 a 12, 13 a 36 e mais de 36. As condições clínicas foram estratificadas como: saudáveis; obesos e/ou hipertensos e/ou dislipidêmicos e/ou diabéticos sem doença coronariana; coronariopatas e outros agravos como câncer, pânico e doenças respiratórias. A distância domicílio-PES foi dividida em (km): até 1, entre 1 e 3, entre 3 e 10, e mais de 10. Para a análise estatística, utilizaram-se a ANOVA Kruskal-Wallis e o quiquadrado. RESULTADOS: Dos participantes, 46% residiam até 3 km, 39% entre 3 e 10 km e cerca de 15% moravam a mais de 10 km do local de realização do PES. Não foram encontradas diferenças entre as medianas dos meses de permanência no PES em função da distância domicílio-PES (p = 0,11). CONCLUSÃO: Para um determinado PES privado da cidade do Rio de Janeiro e funcionando de segunda a sábado com livre escolha de horário, a distância domicílio-PES não influenciou na aderência dos participantes. Isso provavelmente se deveu à qualidade do serviço prestado e/ou a ausência de opções mais próximas do local de domicílio dos participantes. (Arq Bras Cardiol. 2012; [online].ahead print, PP.0-0).
BACKGROUND: One of the difficulties in maintaining long-term adherence to exercise is the distance from home to the place of exercise. OBJECTIVE: To determine, for a private supervised exercise program (PSEP), the influence of the home-PSEP distance on adherence. METHODS: We identified 976 individuals and selected 796 who met the inclusion criteria. The home-PSEP distance was obtained by the Google Maps. Adherence was determined by quartiles (months): 1-4, 5-12, 13-36 and more than 36. The clinical conditions were stratified as healthy, obese and/or hypertensive and/or dyslipidemic and/or diabetic patients without coronary disease; coronary artery disease patients and other health problems like cancer, respiratory disease and panic. The home-PSEP distance was divided into (km): up to 1, 1 to 3, 3 to 10 and more than 10. For the statistical analysis, we used the Kruskal-Wallis ANOVA and the chi-square test. RESULTS: Of respondents, 46% lived up to 3 km, 39% lived between 3 and 10 km and about 15% lived more than 10 kilometers from the place of the PSEP. No differences were found between the medians of the months of participation in the PSEP as a function of home-PSEP distance (p = 0.11). CONCLUSION: For a given PSEP in the city of Rio de Janeiro, open from Monday through Saturday with free choice of time, the home-PSEP distance did not influence the adherence of participants. This was probably due to the quality of the service and/or lack of places closer to the participants home. (Arq Bras Cardiol. 2012; [online].ahead print, PP.0-0).