Social mobility and healthy behaviours from a gender perspective in the Spanish multicase-control study (MCC-Spain).

Autor: Pinto-Carbó M; Cancer and Public Health Area, Foundation for the Promotion of the Research in Healthcare and Biomedicine (FISABIO-Salud Pública), Valencia, Valencian Community, Spain., Peiró-Pérez R; Inequalities Area, Foundation for the Promotion of the Research in Healthcare and Biomedicine (FISABIO-Salud Pública), Valencia, Valencian Community, Spain.; General Directorate of Public Health, Valencia, Valencian Community, Spain.; Consortium for Biomedical Research in Epidemiology and Public Health (CIBEResp), Madrid, Spain., Molina-Barceló A; Cancer and Public Health Area, Foundation for the Promotion of the Research in Healthcare and Biomedicine (FISABIO-Salud Pública), Valencia, Valencian Community, Spain., Vanaclocha-Espi M; Cancer and Public Health Area, Foundation for the Promotion of the Research in Healthcare and Biomedicine (FISABIO-Salud Pública), Valencia, Valencian Community, Spain., Alguacil J; Consortium for Biomedical Research in Epidemiology and Public Health (CIBEResp), Madrid, Spain.; Centre for Health and Environmental Research, Huelva University, Huelva, Andalucia, Spain., Castaño-Vinyals G; Consortium for Biomedical Research in Epidemiology and Public Health (CIBEResp), Madrid, Spain.; Barcelona Institute for Global Health (ISGlobal), Barcelona, Catalonia, Spain.; Universitat Pompeu Fabra, Plaça de la Mercè, Barcelona, Catalonia, Spain.; Hospital del Mar Medical Research Institute, Barcelona, Catalonia, Spain., O'Callaghan-Gordo C; Consortium for Biomedical Research in Epidemiology and Public Health (CIBEResp), Madrid, Spain.; Barcelona Institute for Global Health (ISGlobal), Barcelona, Catalonia, Spain.; Universitat Pompeu Fabra, Plaça de la Mercè, Barcelona, Catalonia, Spain.; Faculty of Health Science,Universitat Oberta de Catalunya, Barcelona, Catalonia, Spain., Gràcia-Lavedan E; Consortium for Biomedical Research in Epidemiology and Public Health (CIBEResp), Madrid, Spain.; Barcelona Institute for Global Health (ISGlobal), Barcelona, Catalonia, Spain.; Hospital del Mar Medical Research Institute, Barcelona, Catalonia, Spain., Pérez-Gómez B; Consortium for Biomedical Research in Epidemiology and Public Health (CIBEResp), Madrid, Spain.; Department of Epidemiology of Chronic Diseases, National Center for Epidemiology, Carlos III Institute of Health, Madrid, Spain., Lope V; Consortium for Biomedical Research in Epidemiology and Public Health (CIBEResp), Madrid, Spain.; Department of Epidemiology of Chronic Diseases, National Center for Epidemiology, Carlos III Institute of Health, Madrid, Spain., Aragonés N; Consortium for Biomedical Research in Epidemiology and Public Health (CIBEResp), Madrid, Spain.; Epidemiology Section, Public Health Division, Department of Health of Madrid, Madrid, Spain., Molina AJ; The Research Group in Gene-Environment and Health Interactions, Institute of Biomedicine (IBIOMED), University of León, León, Castilla y León, Spain., Fernández-Villa T; The Research Group in Gene-Environment and Health Interactions, Institute of Biomedicine (IBIOMED), University of León, León, Castilla y León, Spain., Gil-Majuelo L; Ministry of Health of the Basque Government, Sub-Directorate for Public Health and Addictions of Gipuzkoa, San Sebastián, Gipuzkoa, Spain.; Biodonostia Health Research Institute, Group of Epidemiology of Chronic and Communicable Diseases, San Sebastián, Gipuzkoa, Spain., Amiano P; Consortium for Biomedical Research in Epidemiology and Public Health (CIBEResp), Madrid, Spain.; Ministry of Health of the Basque Government, Sub-Directorate for Public Health and Addictions of Gipuzkoa, San Sebastián, Gipuzkoa, Spain.; Biodonostia Health Research Institute, Group of Epidemiology of Chronic and Communicable Diseases, San Sebastián, Gipuzkoa, Spain., Dierssen-Sotos T; Consortium for Biomedical Research in Epidemiology and Public Health (CIBEResp), Madrid, Spain.; Cantabria University, Santander, Cantabria, Spain., Gómez-Acebo I; Consortium for Biomedical Research in Epidemiology and Public Health (CIBEResp), Madrid, Spain.; Cantabria University, Santander, Cantabria, Spain., Guevara M; Consortium for Biomedical Research in Epidemiology and Public Health (CIBEResp), Madrid, Spain.; Navarra Public Health Institute, Pamplona, Navarra, Spain.; Navarra Institute for Health Research (IdiSNA), Pamplona, Navarra, Spain., Moreno-Iribas C; Navarra Public Health Institute, Pamplona, Navarra, Spain.; Navarra Institute for Health Research (IdiSNA), Pamplona, Navarra, Spain., Obón-Santacana M; Consortium for Biomedical Research in Epidemiology and Public Health (CIBEResp), Madrid, Spain.; Oncology Data Analytics Program (ODAP), Catalan Institute of Oncology (ICO), Barcelona, Catalonia, Spain.; ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Catalonia, Spain., Rodríguez-Suárez MM; Preventive Medicine and Public Health Area, Oviedo University, Oviedo, Asturias, Spain.; Central University Hospital of Asturias, Public Health Service of the Principe de Asturias, Oviedo, Asturias, Spain., Salcedo-Bellido I; Consortium for Biomedical Research in Epidemiology and Public Health (CIBEResp), Madrid, Spain.; Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Andalucia, Spain.; Departamento de Medicina Preventiva y Salud Pública, Universidad de Granada, Granada, Andalucia, Spain., Delgado-Parrilla A; Centre for Health and Environmental Research, Huelva University, Huelva, Andalucia, Spain., Marcos-Gragera R; Consortium for Biomedical Research in Epidemiology and Public Health (CIBEResp), Madrid, Spain.; Epidemiology Unit and Girona Cancer Registry, Oncology Coordination Plan, Department of Health, Autonomous Government of Catalonia, Catalan Institute of Oncology, Girona, Catalonia, Spain.; Descriptive Epidemiology, Genetics and Cancer Prevention Group [Girona Biomedical Research Institute], Girona, Catalonia, Spain., Chirlaque MD; Consortium for Biomedical Research in Epidemiology and Public Health (CIBEResp), Madrid, Spain.; Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, El Palmar, Murcia, Spain., Kogevinas M; Consortium for Biomedical Research in Epidemiology and Public Health (CIBEResp), Madrid, Spain.; Barcelona Institute for Global Health (ISGlobal), Barcelona, Catalonia, Spain.; Universitat Pompeu Fabra, Plaça de la Mercè, Barcelona, Catalonia, Spain.; Hospital del Mar Medical Research Institute, Barcelona, Catalonia, Spain., Pollán M; Consortium for Biomedical Research in Epidemiology and Public Health (CIBEResp), Madrid, Spain.; Department of Epidemiology of Chronic Diseases, National Center for Epidemiology, Carlos III Institute of Health, Madrid, Spain., Salas D; Cancer and Public Health Area, Foundation for the Promotion of the Research in Healthcare and Biomedicine (FISABIO-Salud Pública), Valencia, Valencian Community, Spain.; General Directorate of Public Health, Valencia, Valencian Community, Spain.; Consortium for Biomedical Research in Epidemiology and Public Health (CIBEResp), Madrid, Spain.
Jazyk: angličtina
Zdroj: PloS one [PLoS One] 2021 May 12; Vol. 16 (5), pp. e0251447. Date of Electronic Publication: 2021 May 12 (Print Publication: 2021).
DOI: 10.1371/journal.pone.0251447
Abstrakt: There is evidence for the influence of socioeconomic status (SES) on healthy behaviours but the effect of social mobility (SM) is not yet well known. This study aims to analyse the influence of origin and destination SES (O-SES and D-SES) and SM on healthy behaviours and co-occurrence, from an integrated gender and age perspective. Data were obtained from the controls of MCC-Spain between 2008-2013 (3,606 participants). Healthy behaviours considered: healthy diet, moderate alcohol consumption, non-smoking and physical activity. SM was categorized as stable high, upward, stable medium, downward or stable low. Binary and multinomial logistic regression models were adjusted. Those aged <65, with a low O-SES, D-SES and stable low SM are less likely to have healthy behaviours in the case of both women (physically active: OR = 0.65 CI = 0.45-0.94, OR = 0.71 CI = 0.52-0.98, OR = 0.61 CI = 0.41-0.91) and men (non-smokers: OR = 0.44 CI = 0.26-0.76, OR = 0.54 CI = 0.35-0.83, OR = 0.41 CI 0.24-0.72; physically active: OR = 0.57 CI = 0.35-0.92, OR = 0.64 CI = 0.44-0.95, OR = 0.53 CI = 0.23-0.87). However, for those aged ≥65, this probability is higher in women with a low O-SES and D-SES (non-smoker: OR = 8.09 CI = 4.18-15.67, OR = 4.14 CI = 2.28-7.52; moderate alcohol consumption: OR = 3.00 CI = 1.45-6.24, OR = 2.83 CI = 1.49-5.37) and in men with a stable low SM (physically active: OR = 1.52 CI = 1.02-1.26). In the case of men, the same behaviour pattern is observed in those with a low O-SES as those with upward mobility, with a higher probability of co-occurring behaviours (three-to-four behaviours: OR = 2.00 CI = 1.22-3.29; OR = 3.13 CI = 1.31-7.48). The relationship of O-SES, D-SES and SM with healthy behaviours is complex and differs according to age and gender.
Competing Interests: The authors have declared that no competing interests exist.
Databáze: MEDLINE
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