Social determinants, health status and 10-year mortality among 10,906 older adults from the English longitudinal study of aging: the ATHLOS project.
Por:
Kollia N, Caballero FF, Sánchez-Niubó A, Tyrovolas S, Ayuso-Mateos JL, Haro JM, Chatterji S and Panagiotakos DB
Publicada:
10 dic 2018
Ahead of Print:
10 dic 2018
Categoría:
Public health, environmental and occupational health
Resumen:
BACKGROUND: In either rich or poor countries, people's health widely depends on the social conditions in which they live and work - the social determinants of health. The aim of the present work was to explore the association of educational and financial status with healthy aging and mortality. METHODS: Data from the English Longitudinal Study of Aging (ELSA) were studied (n = 10,906 participants, 64 ± 11 years, 55% women). A set of 45 self-reported health items and measured tests were used to generate a latent health metric reflecting levels of functioning referred to as health metric (higher values indicated better health status). Overall mortality after 10-years of follow-up (2002-2012) was recorded. RESULTS: Both education and household wealth over time were positively associated with the health metric (p < 0.001) and negatively with overall mortality (p < 0.001). Lifestyle behaviors (i.e., physical activity, smoking habits and alcohol consumption) mediated the effect of education and household wealth on the health metric and the latter mediated their effect on overall mortality. CONCLUSIONS: In conclusion, reducing socioeconomic disparities in health by improving the access to education and by providing financial opportunities should be among the priorities in improving the health of older adults.
Filiaciones:
Kollia N:
Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, 70 Eleftheriou Venizelou Ave, 176 61, Attica, Athens, Greece
Caballero FF:
Department of Preventive Medicine, Public Health and Microbiology, Universidad Autónoma de Madrid, Madrid, Spain
CIBER of Epidemiology and Public Health, Madrid, Spain
Sánchez-Niubó A:
Instituto de Salud Carlos III, Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM, Monforte de Lemos 3-5. Pabellón 11, 28029, Madrid, Spain
Parc Sanitari Sant Joan de Deu, Barcelona, Spain
Tyrovolas S:
Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, 70 Eleftheriou Venizelou Ave, 176 61, Attica, Athens, Greece
Instituto de Salud Carlos III, Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM, Monforte de Lemos 3-5. Pabellón 11, 28029, Madrid, Spain
Parc Sanitari Sant Joan de Deu, Barcelona, Spain
Ayuso-Mateos JL:
Instituto de Salud Carlos III, Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM, Monforte de Lemos 3-5. Pabellón 11, 28029, Madrid, Spain
Hospital Universitario de La Princesa, Instituto de Investigación Sanitaria Princesa (IP), Madrid, Spain
Haro JM:
Instituto de Salud Carlos III, Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM, Monforte de Lemos 3-5. Pabellón 11, 28029, Madrid, Spain
Parc Sanitari Sant Joan de Deu, Barcelona, Spain
Chatterji S:
Department of Health Metrics and Measurement, World Health Organization, Geneva, Switzerland
Panagiotakos DB:
Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, 70 Eleftheriou Venizelou Ave, 176 61, Attica, Athens, Greece.
Open Access
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