Wolfgang Stuetz, Daniela Weber, Martijn E. T. Dollé, Eugène Jansen, Beatrix Grubeck-Loebenstein, Simone Fiegl, Olivier Toussaint, Juergen Bernhardt, Efstathios S. Gonos, Claudio Franceschi, Ewa Sikora, María Moreno-Villanueva, Nicolle Breusing, Tilman Grune, Alexander Bürkle
- Blood micronutrient status may change with age. We analyzed plasma carotenoids, α-/γ-tocopherol, and retinol and their associations with age, demographic characteristics, and dietary habits (assessed by a short food frequency questionnaire) in a cross-sectional study of 2118 women and men (age-stratified from 35 to 74 years) of the general population from six European countries. Higher age was associated with lower lycopene and α-/β-carotene and higher β-cryptoxanthin, lutein, zeaxanthin, α-/γ-tocopherol, and retinol levels. Significant correlations with age were observed for lycopene (r = −0.248), α-tocopherol (r = 0.208), α-carotene (r = −0.112), and β-cryptoxanthin (r = 0.125; all p < 0.001). Age was inversely associated with lycopene (−6.5% per five-year age increase) and this association remained in the multiple regression model with the significant predictors (covariables) being country, season, cholesterol, gender, smoking status, body mass index (BMI (kg/m2)), and dietary habits. The positive association of α-tocopherol withBlood micronutrient status may change with age. We analyzed plasma carotenoids, α-/γ-tocopherol, and retinol and their associations with age, demographic characteristics, and dietary habits (assessed by a short food frequency questionnaire) in a cross-sectional study of 2118 women and men (age-stratified from 35 to 74 years) of the general population from six European countries. Higher age was associated with lower lycopene and α-/β-carotene and higher β-cryptoxanthin, lutein, zeaxanthin, α-/γ-tocopherol, and retinol levels. Significant correlations with age were observed for lycopene (r = −0.248), α-tocopherol (r = 0.208), α-carotene (r = −0.112), and β-cryptoxanthin (r = 0.125; all p < 0.001). Age was inversely associated with lycopene (−6.5% per five-year age increase) and this association remained in the multiple regression model with the significant predictors (covariables) being country, season, cholesterol, gender, smoking status, body mass index (BMI (kg/m2)), and dietary habits. The positive association of α-tocopherol with age remained when all covariates including cholesterol and use of vitamin supplements were included (1.7% vs. 2.4% per five-year age increase). The association of higher β-cryptoxanthin with higher age was no longer statistically significant after adjustment for fruit consumption, whereas the inverse association of α-carotene with age remained in the fully adjusted multivariable model (−4.8% vs. −3.8% per five-year age increase). We conclude from our study that age is an independent predictor of plasma lycopene, α-tocopherol, and α-carotene.…
MetadatenAuthor details: | Wolfgang Stuetz, Daniela WeberORCiD, Martijn E. T. Dollé, Eugène Jansen, Beatrix Grubeck-Loebenstein, Simone Fiegl, Olivier Toussaint, Juergen Bernhardt, Efstathios S. Gonos, Claudio Franceschi, Ewa Sikora, María Moreno-Villanueva, Nicolle Breusing, Tilman GruneORCiDGND, Alexander Bürkle |
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URN: | urn:nbn:de:kobv:517-opus4-407659 |
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Title of parent work (English): | Nutrients |
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Subtitle (English): | a cross-sectional study in six European countries |
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Publication series (Volume number): | Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe (449) |
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Publication type: | Postprint |
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Language: | English |
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Date of first publication: | 2018/06/27 |
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Publication year: | 2016 |
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Publishing institution: | Universität Potsdam |
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Release date: | 2018/06/27 |
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Tag: | Europe; age; carotenoids; lycopene; micronutrient; plasma; retinol; tocopherols |
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Number of pages: | 17 |
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Source: | MDPI Nutrients (2016), Vol. 8(10), Art. 614 ; DOI: 10.3390/nu8100614 |
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Organizational units: | Mathematisch-Naturwissenschaftliche Fakultät |
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| Mathematisch-Naturwissenschaftliche Fakultät / Institut für Ernährungswissenschaft |
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DDC classification: | 6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit |
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Peer review: | Referiert |
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Publishing method: | Open Access |
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Grantor: | Multidisciplinary Digital Publishing Institute (MDPI) |
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License (German): | CC-BY - Namensnennung 4.0 International |
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