Susanne Vogt1, Siona Decke2, Tonia de Las Heras Gala3, Birgit Linkohr4, Wolfgang Koenig5, Karl-Heinz Ladwig6, Annette Peters7, Barbara Thorand8. 1. Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstraße 1, 85764 Neuherberg, Germany. Electronic address: susanne.vogt@helmholtz-muenchen.de. 2. Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstraße 1, 85764 Neuherberg, Germany; Institute of Medical Informatics, Biometry and Epidemiology, Ludwig-Maximilians-Universität, Marchioninistr. 15, 81377 Munich, Germany. Electronic address: decke@ibe.med.uni-muenchen.de. 3. Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstraße 1, 85764 Neuherberg, Germany. Electronic address: tonia.herasgala@helmholtz-muenchen.de. 4. Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstraße 1, 85764 Neuherberg, Germany. Electronic address: birgit.linkohr@helmholtz-muenchen.de. 5. Department of Internal Medicine II - Cardiology, University of Ulm, Medical Center, Ulm, Germany. Electronic address: wolfgang.koenig@uniklinik-ulm.de. 6. Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstraße 1, 85764 Neuherberg, Germany. Electronic address: ladwig@helmholtz-muenchen.de. 7. Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstraße 1, 85764 Neuherberg, Germany. Electronic address: peters@helmholtz-muenchen.de. 8. Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstraße 1, 85764 Neuherberg, Germany. Electronic address: thorand@helmholtz-muenchen.de.
Abstract
OBJECTIVE: To assess the prospective association of serum 25-hydroxyvitamin D [25(OH)D] levels with frailty status and all-cause mortality in a cohort of community-dwelling participants of the population-based KORA [Cooperative Health Research in the Region of Augsburg]-Age Study. METHODS: 727 non-frail participants, aged ≥65years, with 25(OH)D measurement at baseline in 2009, were followed for 2.9±0.1years. Participants were classified as pre-frail or frail if they met 1-2 or ≥3, respectively, of the following five criteria: weight loss, exhaustion, physical inactivity, low walking speed, weakness. The association between 25(OH)D and mortality was assessed in 954 participants. Multivariable adjusted logistic regression models were calculated for each outcome. RESULTS: The incidence of pre-frailty and frailty was 21.2% and 3.9% respectively. After multivariable adjustment, participants with very low 25(OH)D levels (<15ng/ml vs. ≥30ng/ml) had a significantly higher odds for pre-frailty (OR=2.43 [95% CI: 1.17-5.03]) and pre-frailty/frailty combined (OR=2.53 [95% CI: 1.23-5.22]), but not for frailty alone (OR=2.63 [95% CI: 0.39-17.67]). The association between 25(OH)D and mortality (OR=3.39 [95% CI: 1.08-10.65]) was partly mediated by frailty status. CONCLUSION: Very low 25(OH)D levels were independently associated with incident pre-frailty, pre-frailty/frailty combined and all-cause mortality.
OBJECTIVE: To assess the prospective association of serum 25-hydroxyvitamin D [25(OH)D] levels with frailty status and all-cause mortality in a cohort of community-dwelling participants of the population-based KORA [Cooperative Health Research in the Region of Augsburg]-Age Study. METHODS: 727 non-frail participants, aged ≥65years, with 25(OH)D measurement at baseline in 2009, were followed for 2.9±0.1years. Participants were classified as pre-frail or frail if they met 1-2 or ≥3, respectively, of the following five criteria: weight loss, exhaustion, physical inactivity, low walking speed, weakness. The association between 25(OH)D and mortality was assessed in 954 participants. Multivariable adjusted logistic regression models were calculated for each outcome. RESULTS: The incidence of pre-frailty and frailty was 21.2% and 3.9% respectively. After multivariable adjustment, participants with very low 25(OH)D levels (<15ng/ml vs. ≥30ng/ml) had a significantly higher odds for pre-frailty (OR=2.43 [95% CI: 1.17-5.03]) and pre-frailty/frailty combined (OR=2.53 [95% CI: 1.23-5.22]), but not for frailty alone (OR=2.63 [95% CI: 0.39-17.67]). The association between 25(OH)D and mortality (OR=3.39 [95% CI: 1.08-10.65]) was partly mediated by frailty status. CONCLUSION: Very low 25(OH)D levels were independently associated with incident pre-frailty, pre-frailty/frailty combined and all-cause mortality.
Authors: Jacy Aurelia Vieira de Sousa; Maria Helena Lenardt; Clóris Regina Blanski Grden; Luciana Kusomota; Mara Solange Gomes Dellaroza; Susanne Elero Betiolli Journal: Rev Lat Am Enfermagem Date: 2018-09-06
Authors: Romy Conzade; Wolfgang Koenig; Margit Heier; Andrea Schneider; Eva Grill; Annette Peters; Barbara Thorand Journal: Nutrients Date: 2017-11-23 Impact factor: 5.717