Monitoramento por entrevistas telefônicas de fatores de risco para doenças crônicas: experiência de Goiânia, Goiás, Brasil
This study describes results from a surveillance system for risk factors for chronic non-communicable diseases in 2005 in the city of Goiânia, Goiás State, Brazil. A probabilistic sample (n = 2,002) of the adult population living in households with landline telephones was studied by phone interviews...
| Autores: | , , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2008 |
| País: | Brasil |
| Institución: | Fundação Oswaldo Cruz (FIOCRUZ) |
| Repositorio: | Cadernos de Saúde Pública |
| Idioma: | portugués |
| OAI Identifier: | oai:ojs.teste-cadernos.ensp.fiocruz.br:article/3853 |
| Acceso en línea: | https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/3853 |
| Access Level: | acceso abierto |
| Palabra clave: | Doença Crônica Monitoramento Fatores de Risco Entrevistas Telefone |
| Sumario: | This study describes results from a surveillance system for risk factors for chronic non-communicable diseases in 2005 in the city of Goiânia, Goiás State, Brazil. A probabilistic sample (n = 2,002) of the adult population living in households with landline telephones was studied by phone interviews. Factors investigated were: food consumption, physical activity, smoking, alcohol intake, self-reported weight and height, and self-reported medical diagnosis of chronic non-communicable diseases. Prevalence and c² values were calculated. The data showed: low consumption (< 5 days/week) of fruits and vegetables (47.1%), high rate of physical inactivity at work (86.6%), in commuting (92.6%), and during leisure time (61.9%), high alcohol consumption (36.5%), and high rates of obesity (10.6%), hypertension (22.4%), dyslipidemia (18.4%), and diabetes (4.4%). Most of the factors were inversely related to schooling and directly related to age (p < 0.05). High prevalence of risk factors for chronic non-communicable diseases was reported. The advantages of this system were: low operational cost and the ability to monitor trends in chronic non-communicable diseases at the local level. |
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