Socioeconomic determinants of sarcopenic obesity and frail obesity in community-dwelling older adults: The Seniors-ENRICA Study

Autor: Raúl F. Pérez-Tasigchana, Martín Laclaustra, Juan L. Gutiérrez-Fisac, Fernando Rodríguez-Artalejo, Belén Moreno-Franco, Esther Lopez-Garcia, Pilar Guallar-Castillón
Přispěvatelé: UAM. Departamento de Medicina Preventiva y Salud Pública y Microbiología
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Zdroj: Scientific Reports, Vol 8, Iss 1, Pp 1-7 (2018)
Repositorio Institucional de la Consejería de Sanidad de la Comunidad de Madrid
Consejería de Sanidad de la Comunidad de Madrid
Biblos-e Archivo. Repositorio Institucional de la UAM
instname
Zaguán. Repositorio Digital de la Universidad de Zaragoza
Scientific Reports
ISSN: 2045-2322
Popis: Information on the association between socioeconomic status (SES) throughout life and sarcopenic obesity is scarce, whereas no study has been focused on the association between SES and frail obesity. This analysis estimated the prevalence of sarcopenic obesity and frail obesity, and their associations with SES in older adults. Data were collected in 2012 from 1,765 non-institutionalized individuals aged ≥65 participating in the Seniors-ENRICA study in Spain, by using standardized techniques and equipment. SES throughout life was evaluated with the father's occupation, participant's educational level, former own occupation, and current poor housing condition. Overall, 17.2% of participants had sarcopenic obesity, and 4.0% frail obesity. No association was found between SES and sarcopenic obesity. In contrast, the prevalence of frail obesity was higher in those with lower education, having worked in manual job, and currently having poor housing condition. Having ≥1 social disadvantages throughout life was associated with higher prevalence of frail obesity. The prevalence of this disorder increased by 1.49 (95% CI: 1.21-1.85) times for each social disadvantage added. The OR (95% CI) of frail obesity was 3.13 (1.71-5.7) for those having 3 or 4 vs. 0 or 1 social disadvantages, implying a more complex process beginning early in life.
Data collection was funded by the following grants: PI13/0288; PI14/0009; PI16/01460; PI16/01512; and PI16/00609 (State Secretary of R+D and FEDER/FSE). BM-F was supported by a CIBERCV contract, RFP-T was supported by the National Government of Ecuador through the National Institution of Higher Education, Science, Technology and Innovation-SENESCYT, and ML research activity is funded by Agencia Aragonesa para la Investigación y el Desarrollo (ARAID)
Databáze: OpenAIRE
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