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dc.contributor.authorCelis-Morales, Carlos [Univ Mayor, Ctr Exercise Physiol Res CIFE, Santiago, Chile]es_CL
dc.contributor.authorPetermann-Rocha, Fannyes_CL
dc.contributor.authorChen, Minghaoes_CL
dc.contributor.authorGray, Stuart R.es_CL
dc.contributor.authorHo, Frederick K.es_CL
dc.contributor.authorPell, Jill P.es_CL
dc.date.accessioned2020-04-12T14:11:55Z
dc.date.accessioned2020-04-14T15:37:45Z
dc.date.available2020-04-12T14:11:55Z
dc.date.available2020-04-14T15:37:45Z
dc.date.issued2020es_CL
dc.identifier.citationPetermann-Rocha, F., Chen, M., Gray, S. R., Ho, F. K., Pell, J. P., & Celis-Morales, C. (2020). Factors associated with sarcopenia: a cross-sectional analysis using UK Biobank. Maturitas.es_CL
dc.identifier.issn0378-5122es_CL
dc.identifier.issn1873-4111es_CL
dc.identifier.urihttps://doi.org/10.1016/j.maturitas.2020.01.004es_CL
dc.identifier.urihttp://repositorio.umayor.cl/xmlui/handle/sibum/6462
dc.description.abstractIntroduction: The critical sociodemographic, lifestyle and diseases factors influencing sarcopenia, defined by the current European Working Group on Sarcopenia 2 (EWGSOP2) classification and cut-off points, have not yet been fully elucidated. This study aimed, therefore, to determine sociodemographic, anthropometric, lifestyle and health-related factors associated with sarcopenia using the new EWGSOP2 definition. Study design: 396,283 participants (52.8 % women, age 38-73 years) were included in this cross-sectional study. The potential factors associated with sarcopenia were allocated to four categories: sociodemographic (sex, age, education, income and professional qualification), anthropometric (nutritional status, abdominal obesity, body fat and birth weight), lifestyle (physical activity, smoking, sleeping, sitting time, TV viewing, alcohol, and dietary intakes) and health status (self-reported prevalent diseases). P-values were corrected for multiple testing using the Bonferroni method. Results: Age, women, lower education, higher deprivation, underweight, lower birth weight, and chronic diseases such as rheumatoid arthritis, chronic bronchitis and osteoporosis were associated with a higher likelihood of sarcopenia. Conversely, overweight, obesity, as well as a self-reported higher intake of energy, protein, vitamins (B12 and B9) and minerals (potassium, calcium and magnesium) were associated with lower odds of sarcopenia. Conclusion: Women, people aged over 65 years, underweight people and those with rheumatoid arthritis were most likely to have sarcopenia. Considering the increase in the ageing population, sarcopenia is likely to become more prevalent. Identifying factors associated with sarcopenia could inform future strategies for early identification of individuals at high risk of sarcopenia and therefore the implementation of preventive strategies against the disease.es_CL
dc.description.sponsorshipWellcome TrustWellcome Trust; Medical Research CouncilMedical Research Council UK (MRC); Department of HealthDiabetes UK; Scottish Government; Northwest Regional Development Agency; Welsh Assembly Government; British Heart FoundationBritish Heart Foundation; Chilean Governmentes_CL
dc.description.sponsorshipUK Biobank has been funded by the Wellcome Trust, Medical Research Council, Department of Health, Scottish Government and the Northwest Regional Development Agency. It has also had funding from the Welsh Assembly Government and the British Heart Foundation. All authors had final responsibility for submission for publication. FP -R receives financial support from the Chilean Government for doing her PhD (CONICYT-Becas Chile).es_CL
dc.language.isoenes_CL
dc.publisherELSEVIER IRELAND LTDes_CL
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Chile
dc.sourceMaturitas, MAR, 2020. 133: p. 60-67
dc.subjectGeriatrics & Gerontology; Obstetrics & Gynecologyes_CL
dc.titleFactors associated with sarcopenia: A cross-sectional analysis using UK Biobankes_CL
dc.typeArtículoes_CL
umayor.facultadCIENCIAS
umayor.politicas.sherpa/romeoRoMEO green journal (Se puede archivar el pre-print y el post-print o versión de editor/PDF). Disponible en: http://sherpa.ac.uk/romeo/index.phpes_CL
umayor.indexadoWOS:000514004200008es_CL
umayor.indexadoPMID: 32005425es_CL
dc.identifier.doiDOI: 10.1016/j.maturitas.2020.01.004es_CL]
umayor.indicadores.wos-(cuartil)Q2es_CL
umayor.indicadores.scopus-(scimago-sjr)SCIMAGO/ INDICE H: 91 Hes_CL


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