Association between fat-soluble vitamins and self-reported health status: a cross-sectional analysis of the MARK-AGE cohort

  1. Stokes, Caroline Sarah
  2. Weber, Daniela
  3. Wagenpfeil, Stefan
  4. Stuetz, Wolfgang ORCID logo
  5. Moreno-Villanueva, Maria
  6. Dollé, Martijn E. T.
  7. Jansen, Eugene
  8. Gonos, Efstathios S.
  9. Bernhardt, Jürgen
  10. Grubeck-Loebenstein, Beatrix
  11. Fiegl, Simone
  12. Sikora, Ewa
  13. Toussaint, Olivier
  14. Debacq-Chainiaux, Florence
  15. Capri, Miriam
  16. Hervonen, Antti
  17. Slagboom, P. Eline
  18. Breusing, Nicolle
  19. Frank, Jan
  20. Bürkle, Alexander
  21. Franceschi, Claudio
  22. Grune, Tilman

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1000 Titel
  • Association between fat-soluble vitamins and self-reported health status: a cross-sectional analysis of the MARK-AGE cohort
1000 Autor/in
  1. Stokes, Caroline Sarah |
  2. Weber, Daniela |
  3. Wagenpfeil, Stefan |
  4. Stuetz, Wolfgang |
  5. Moreno-Villanueva, Maria |
  6. Dollé, Martijn E. T. |
  7. Jansen, Eugene |
  8. Gonos, Efstathios S. |
  9. Bernhardt, Jürgen |
  10. Grubeck-Loebenstein, Beatrix |
  11. Fiegl, Simone |
  12. Sikora, Ewa |
  13. Toussaint, Olivier |
  14. Debacq-Chainiaux, Florence |
  15. Capri, Miriam |
  16. Hervonen, Antti |
  17. Slagboom, P. Eline |
  18. Breusing, Nicolle |
  19. Frank, Jan |
  20. Bürkle, Alexander |
  21. Franceschi, Claudio |
  22. Grune, Tilman |
1000 Erscheinungsjahr 2021
1000 LeibnizOpen
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2021-11-19
1000 Erschienen in
1000 Quellenangabe
  • 128(3):433-443
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2021
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1017/S0007114521004633 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9340855/ |
1000 Ergänzendes Material
  • https://www.cambridge.org/core/journals/british-journal-of-nutrition/article/association-between-fatsoluble-vitamins-and-selfreported-health-status-a-crosssectional-analysis-of-the-markage-cohort/96C25EF2693A93EF7DAFE37C2B8E6307#s4 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Self-rated health (SRH) is associated with higher risk of death. Since low plasma levels of fat-soluble vitamins are related to mortality, we aimed to assess whether plasma concentrations of vitamins A, D and E were associated with SRH in the MARK-AGE study. We included 3158 participants (52 % female) aged between 35 and 75 years. Cross-sectional data were collected via questionnaires. An enzyme immunoassay quantified 25-hydroxyvitamin D and HPLC determined α-tocopherol and retinol plasma concentrations. The median 25-hydroxyvitamin D and retinol concentrations differed significantly (P < 0·001) between SRH categories and were lower in the combined fair/poor category v. the excellent, very good and good categories (25-hydroxvitamin D: 40·8 v. 51·9, 49·3, 46·7 nmol/l, respectively; retinol: 1·67 v. 1·75, 1·74, 1·70 µmol/l, respectively). Both vitamin D and retinol status were independently associated with fair/poor SRH in multiple regression analyses: adjusted OR (95 % CI) for the vitamin D insufficiency, deficiency and severe deficiency categories were 1·33 (1·06–1·68), 1·50 (1·17–1·93) and 1·83 (1·34–2·50), respectively; P = 0·015, P = 0·001 and P < 0·001, and for the second/third/fourth retinol quartiles: 1·44 (1·18–1·75), 1·57 (1·28–1·93) and 1·49 (1·20–1·84); all P < 0·001. No significant associations were reported for α-tocopherol quartiles. Lower vitamin A and D status emerged as independent markers for fair/poor SRH. Further insights into the long-term implications of these modifiable nutrients on health status are warranted.
1000 Sacherschließung
lokal Micronutrients
lokal Retinol
lokal Plasma
lokal Vitamin D
lokal α-tocopherol
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
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  1. Association between fat-soluble vitamins and self-reported health status: a cross-sectional analysis of the MARK-AGE cohort
    Association between fat-soluble vitamins and self-reported health status: a cross-sectional analysis of the MARK-AGE cohort
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1000 Erstellt am 2022-12-01T08:21:46.744+0100
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