OBJECTIVE: To identify environmental and personal factors associated with social participation in adults with various diseases/health conditions residing in the urban areas of the Belo Horizonte Metropolitan Region, Minas Gerais, Brazil. METHODS: Individual characteristics, social participation, and perception of environmental barriers of 226 patients treated at a public rehabilitation referral service were evaluated. Regression analyses with hierarchical entry of data were performed to verify the association of personal and environmental factors with social participation. RESULTS: More years of schooling, being engaged in the labor market, and consuming alcohol are conditions that increase the social participation of patients. Natural environment, transportation, access to health services, and social capital are perceived as the most important barriers to participation. Based on the linear regression analysis, the adjusted coefficient (R²(adj)) of the full model was 0.42 (P = 0.000). CONCLUSIONS: The results of this study may contribute to the planning and implementation of interventions and public policies at the individual and contextual level that are considered appropriate for reducing barriers and facilitate full participation.
OBJECTIVE: To identify environmental and personal factors associated with social participation in adults with various diseases/health conditions residing in the urban areas of the Belo Horizonte Metropolitan Region, Minas Gerais, Brazil. METHODS: Individual characteristics, social participation, and perception of environmental barriers of 226 patients treated at a public rehabilitation referral service were evaluated. Regression analyses with hierarchical entry of data were performed to verify the association of personal and environmental factors with social participation. RESULTS: More years of schooling, being engaged in the labor market, and consuming alcohol are conditions that increase the social participation of patients. Natural environment, transportation, access to health services, and social capital are perceived as the most important barriers to participation. Based on the linear regression analysis, the adjusted coefficient (R²(adj)) of the full model was 0.42 (P = 0.000). CONCLUSIONS: The results of this study may contribute to the planning and implementation of interventions and public policies at the individual and contextual level that are considered appropriate for reducing barriers and facilitate full participation.
Authors: Soraya León; Miguel Rivera; Sebastián Payero; Gloria Correa-Beltrán; Fernando N Hugo; Rodrigo A Giacaman Journal: Int Dent J Date: 2018-07-20 Impact factor: 2.607
Authors: Fabiana C M S Dutra; Marisa C Mancini; Jorge A Neves; Renata N Kirkwood; Rosana F Sampaio Journal: Braz J Phys Ther Date: 2016-06-16 Impact factor: 3.377
Authors: Dahlia Kairy; Mir Abolfazl Mostafavi; Catherine Blanchette-Dallaire; Eva Belanger; Andrea Corbeil; Meena Kandiah; Tian Qiang Wu; Barbara Mazer Journal: Int J Environ Res Public Health Date: 2021-02-11 Impact factor: 3.390
Authors: Celeste Marsh; Paul A Agius; Gamini Jayakody; Roshan Shajehan; Chandima Abeywickrema; Kelly Durrant; Stanley Luchters; Wendy Holmes Journal: BMC Public Health Date: 2018-05-16 Impact factor: 3.295