METHODS: The study Pesquisa Dimensões Sociais das Desigualdades (PDSD) (Social Dimensions of Inequalities) involves 12,423 randomly selected Brazilian men and women aged 18 years old or more from urban and rural areas of the five Brazilian regions, and the information collected included the SF-36 as a measure of health-related quality of life. This provided a unique opportunity to develop age and gender-adjusted normative data for the Brazilian population. RESULTS: Brazilian men scored substantially higher than women on all eight domains and the two summary component scales of the SF-36. Brazilians scored less than their international counterparts on almost all of SF-36 domains and both summary component scales, except on general health status (US), pain (UK) and vitality (Australia, US and Canada). CONCLUSION: The differences in the SF-36 scores between age groups, genders and countries confirm that these Brazilian norms are necessary for comparative purposes. The data will be useful for assessing the health status of the general population and of patient populations, and the effect of interventions on health-related quality of life.
METHODS: The study Pesquisa Dimensões Sociais das Desigualdades (PDSD) (Social Dimensions of Inequalities) involves 12,423 randomly selected Brazilian men and women aged 18 years old or more from urban and rural areas of the five Brazilian regions, and the information collected included the SF-36 as a measure of health-related quality of life. This provided a unique opportunity to develop age and gender-adjusted normative data for the Brazilian population. RESULTS: Brazilian men scored substantially higher than women on all eight domains and the two summary component scales of the SF-36. Brazilians scored less than their international counterparts on almost all of SF-36 domains and both summary component scales, except on general health status (US), pain (UK) and vitality (Australia, US and Canada). CONCLUSION: The differences in the SF-36 scores between age groups, genders and countries confirm that these Brazilian norms are necessary for comparative purposes. The data will be useful for assessing the health status of the general population and of patient populations, and the effect of interventions on health-related quality of life.
Authors: Diego Alves Vieira; Luciana Rodrigues da Cunha; Cliviany Borges da Silva; Maria Thereza Bastos Almeida; Adriana Dias Gomes; César Lúcio Lopes de Faria; Rosângela Teixeira; Fernando Silva Neves; Gifone Aguiar Rocha; Fabrício Freire de Melo; Dulciene Maria de Magalhães Queiroz; Luciana Diniz Silva Journal: Qual Life Res Date: 2019-02-07 Impact factor: 4.147
Authors: Fabiano F Lima; Carlos A Camillo; Luis A Gobbo; Iara B Trevisan; Wesley B B M Nascimento; Bruna S A Silva; Manoel C S Lima; Dionei Ramos; Ercy M C Ramos Journal: J Sports Sci Med Date: 2018-03-01 Impact factor: 2.988
Authors: Nelson Miranda Silva-Filho; Juliana Adami Sedrez; Ana Jaqueline Gnoatto Fischer; Cláudia Tarragô Candotti Journal: Rev Bras Med Trab Date: 2020-04-24
Authors: Juliana Dos Santos Müller; Ila Rocha Falcão; Maria Carolina Barreto Moreira Couto; Wendel da Silva Viana; Ivone Batista Alves; Denise Nunes Viola; Courtney Georgette Woods; Rita Franco Rêgo Journal: Int J Environ Res Public Health Date: 2016-05-05 Impact factor: 3.390