Improved dietary guidelines for vitamin D: Application of Individual Participant Data (IPD)-level meta-regression analyses
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Improved dietary guidelines for vitamin D : Application of Individual Participant Data (IPD)-level meta-regression analyses. / Cashman, Kevin D; Ritz, Christian; Kiely, Mairead; Odin Collaborators.
In: Nutrients, Vol. 9, No. 5, 469, 2017.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - Improved dietary guidelines for vitamin D
T2 - Application of Individual Participant Data (IPD)-level meta-regression analyses
AU - Cashman, Kevin D
AU - Ritz, Christian
AU - Kiely, Mairead
AU - Odin Collaborators, null
N1 - CURIS 2017 NEXS 133
PY - 2017
Y1 - 2017
N2 - Dietary Reference Values (DRVs) for vitamin D have a key role in the prevention of vitamin D deficiency. However, despite adopting similar risk assessment protocols, estimates from authoritative agencies over the last 6 years have been diverse. This may have arisen from diverse approaches to data analysis. Modelling strategies for pooling of individual subject data from cognate vitamin D randomized controlled trials (RCTs) are likely to provide the most appropriate DRV estimates. Thus, the objective of the present work was to undertake the first-ever individual participant data (IPD)-level meta-regression, which is increasingly recognized as best practice, from seven winter-based RCTs (with 882 participants ranging in age from 4 to 90 years) of the vitamin D intake-serum 25-hydroxyvitamin D (25(OH)D) dose-response. Our IPD-derived estimates of vitamin D intakes required to maintain 97.5% of 25(OH)D concentrations >25, 30, and 50 nmol/L across the population are 10, 13, and 26 µg/day, respectively. In contrast, standard meta-regression analyses with aggregate data (as used by several agencies in recent years) from the same RCTs estimated that a vitamin D intake requirement of 14 µg/day would maintain 97.5% of 25(OH)D >50 nmol/L. These first IPD-derived estimates offer improved dietary recommendations for vitamin D because the underpinning modeling captures the between-person variability in response of serum 25(OH)D to vitamin D intake.
AB - Dietary Reference Values (DRVs) for vitamin D have a key role in the prevention of vitamin D deficiency. However, despite adopting similar risk assessment protocols, estimates from authoritative agencies over the last 6 years have been diverse. This may have arisen from diverse approaches to data analysis. Modelling strategies for pooling of individual subject data from cognate vitamin D randomized controlled trials (RCTs) are likely to provide the most appropriate DRV estimates. Thus, the objective of the present work was to undertake the first-ever individual participant data (IPD)-level meta-regression, which is increasingly recognized as best practice, from seven winter-based RCTs (with 882 participants ranging in age from 4 to 90 years) of the vitamin D intake-serum 25-hydroxyvitamin D (25(OH)D) dose-response. Our IPD-derived estimates of vitamin D intakes required to maintain 97.5% of 25(OH)D concentrations >25, 30, and 50 nmol/L across the population are 10, 13, and 26 µg/day, respectively. In contrast, standard meta-regression analyses with aggregate data (as used by several agencies in recent years) from the same RCTs estimated that a vitamin D intake requirement of 14 µg/day would maintain 97.5% of 25(OH)D >50 nmol/L. These first IPD-derived estimates offer improved dietary recommendations for vitamin D because the underpinning modeling captures the between-person variability in response of serum 25(OH)D to vitamin D intake.
KW - Vitamin D recommendations
KW - DRV
KW - RDA
KW - EAR
KW - Individual Participant Data-level meta-regression analyses
U2 - 10.3390/nu9050469
DO - 10.3390/nu9050469
M3 - Journal article
C2 - 28481259
VL - 9
JO - Nutrients
JF - Nutrients
SN - 2072-6643
IS - 5
M1 - 469
ER -
ID: 178256340