Juli Carrere1, Andrés Peralta2, Laura Oliveras3, María José López4, Marc Marí-Dell'Olmo5, Joan Benach6, Ana M Novoa7. 1. Institut d'Investigació Biomèdica (IIB Sant Pau), Barcelona, Spain; Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Spain; Agència de Salut Pública de Barcelona, Barcelona, Spain; Asociación Bienestar y Desarrollo, Barcelona, Spain. Electronic address: julicarrere@gmail.com. 2. Agència de Salut Pública de Barcelona, Barcelona, Spain; Health Inequalities Research Group, Employment Conditions Knowledge Network (GREDS-EMCONET), Department of Political and Social Sciences, Universitat Pompeu Fabra, Barcelona, Spain; Johns Hopkins University, Pompeu Fabra University Public Policy Center, Barcelona, Spain. 3. Institut d'Investigació Biomèdica (IIB Sant Pau), Barcelona, Spain; Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Spain; Agència de Salut Pública de Barcelona, Barcelona, Spain. 4. Agència de Salut Pública de Barcelona, Barcelona, Spain; CIBER de Epidemiología y Salud Pública (CIBERESP), Spain. 5. Institut d'Investigació Biomèdica (IIB Sant Pau), Barcelona, Spain; Agència de Salut Pública de Barcelona, Barcelona, Spain; CIBER de Epidemiología y Salud Pública (CIBERESP), Spain. 6. Health Inequalities Research Group, Employment Conditions Knowledge Network (GREDS-EMCONET), Department of Political and Social Sciences, Universitat Pompeu Fabra, Barcelona, Spain; Johns Hopkins University, Pompeu Fabra University Public Policy Center, Barcelona, Spain; Transdisciplinary Research Group on Socioecological Transitions (GinTRANS2), Universidad Autónoma de Madrid, Madrid, Spain. 7. Institut d'Investigació Biomèdica (IIB Sant Pau), Barcelona, Spain; Agència de Salut Pública de Barcelona, Barcelona, Spain.
Abstract
OBJECTIVE: To describe and compare the health status between vulnerable population participating in a program to tackle energy poverty (Energía, la justa) and the non-energy poor Barcelona (Spain) population and to analyse among participants the effect of energy poverty intensity on health. METHOD: Cross-sectional study based on data from program participants obtained before the intervention. Participants (1799 women and 671 men) were compared to non-energy poor population of Barcelona (1393 women and 1215 men) sampled from the Barcelona Public Health Survey (2016). Standardized prevalence and prevalence ratios of self-perceived poor health, asthma, chronic bronchitis, and depression and/or anxiety were estimated, and among participants the association between health status and energy poverty intensity was estimated with multivariate models. RESULTS: The probability of poor self-perceived physical and mental health ranged from 2.2 to 5.3 times greater in the program participants than non-energy poor Barcelona population. Among program participants, those most affected were found to be the most likely to report poor health outcomes, regardless of other sociodemographic factors. CONCLUSIONS: The prevalence of poor physical and mental health was considerably higher among women and men participating in the programme compared to the non-energy poor population and was even worse among those who were more severely affected. Public policies that tackle energy poverty and its consequences are urgently needed in Spain.
OBJECTIVE: To describe and compare the health status between vulnerable population participating in a program to tackle energy poverty (Energía, la justa) and the non-energy poor Barcelona (Spain) population and to analyse among participants the effect of energy poverty intensity on health. METHOD: Cross-sectional study based on data from program participants obtained before the intervention. Participants (1799 women and 671 men) were compared to non-energy poor population of Barcelona (1393 women and 1215 men) sampled from the Barcelona Public Health Survey (2016). Standardized prevalence and prevalence ratios of self-perceived poor health, asthma, chronic bronchitis, and depression and/or anxiety were estimated, and among participants the association between health status and energy poverty intensity was estimated with multivariate models. RESULTS: The probability of poor self-perceived physical and mental health ranged from 2.2 to 5.3 times greater in the program participants than non-energy poor Barcelona population. Among program participants, those most affected were found to be the most likely to report poor health outcomes, regardless of other sociodemographic factors. CONCLUSIONS: The prevalence of poor physical and mental health was considerably higher among women and men participating in the programme compared to the non-energy poor population and was even worse among those who were more severely affected. Public policies that tackle energy poverty and its consequences are urgently needed in Spain.
Keywords:
Desigualdades sociales en salud; Determinantes sociales de la salud; Energy poverty; Fuel poverty; Health; Población vulnerable; Pobreza energética; Salud; Social determinants of health; Social health inequalities; Vulnerable populations
Authors: Juli Carrere; Francesc Belvis; Andrés Peralta; Marc Marí-Dell'Olmo; María José López; Joan Benach; Ana M Novoa Journal: J Urban Health Date: 2022-05-27 Impact factor: 5.801
Authors: Miguel Negrín Hernández; Clara Bermúdez-Tamayo; Juan Alguacil; David Cantarero; Gonzalo Casino; Azucena Santillán; Mar García Calvente; David Epstein; Mariano Hernán; Leila Posenato García; Mercedes Carrasco Portiño; María Teresa Ruiz Cantero; Andreu Segura; Javier García Amez; Lucero Juárez; Juan Jaime Miranda; Manuel Franco Tejero; Joan Carles March; Jorge Marcos-Marcos; Zulma M Cucunubá; Blanca Lumbreras; Javier Mar; Rosana Peiró; Carlos Álvarez-Dardet Journal: Gac Sanit Date: 2022 Mar-Apr Impact factor: 2.139