Development and validation of a prediction model for iron status in a large U.S. cohort of women.
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
12 10 2023
12 10 2023
Historique:
received:
06
12
2022
accepted:
18
09
2023
medline:
1
11
2023
pubmed:
13
10
2023
entrez:
12
10
2023
Statut:
epublish
Résumé
Serum iron levels can be important contributors to health outcomes, but it is not often feasible to rely on blood-based measures for a large epidemiologic study. Predictive models that use questionnaire-based factors such as diet, supplement use, recency of blood donation, and medical conditions could potentially provide a noninvasive alternative for studying health effects associated with iron status. We hypothesized that a model based on questionnaire data could predict blood-based measures of iron status biomarkers. Using iron (mcg/dL), ferritin (mcg/dL), and transferrin saturation (%) based on blood collected at study entry, in a subsample from the U.S.-wide Sister Study (n = 3171), we developed and validated a prediction model for iron with multivariable linear regression models. Model performance based on these cross-sectional data was weak, with R
Identifiants
pubmed: 37828137
doi: 10.1038/s41598-023-42993-3
pii: 10.1038/s41598-023-42993-3
pmc: PMC10570329
doi:
Substances chimiques
Iron
E1UOL152H7
Hemoglobins
0
Ferritins
9007-73-2
Transferrins
0
Transferrin
0
Types de publication
Journal Article
Research Support, N.I.H., Intramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
17309Informations de copyright
© 2023. Springer Nature Limited.
Références
PLoS One. 2017 Nov 30;12(11):e0188903
pubmed: 29190715
J Stat Softw. 2010;33(1):1-22
pubmed: 20808728
Am J Clin Nutr. 2003 Dec;78(6):1160-7
pubmed: 14668279
Gastroenterology. 2004 May;126(5):1293-301
pubmed: 15131790
Stat Med. 1996 Feb 28;15(4):361-87
pubmed: 8668867
Clin Epigenetics. 2019 Aug 23;11(1):123
pubmed: 31443682
Ann Intern Med. 2015 Jan 6;162(1):W1-73
pubmed: 25560730
Ren Fail. 2018 Nov;40(1):700-709
pubmed: 30741616
Circ Cardiovasc Qual Outcomes. 2019 Nov;12(11):e005927
pubmed: 31718298
PLoS One. 2019 Aug 13;14(8):e0220862
pubmed: 31408501
BMC Med Res Methodol. 2021 Jan 7;21(1):9
pubmed: 33413132
Maturitas. 2016 Jun;88:46-51
pubmed: 27105697
Am J Clin Nutr. 2017 Jul;106(Suppl 1):359S-371S
pubmed: 28615259
Transfusion. 2019 May;59(5):1723-1733
pubmed: 30779173
Acta Chir Iugosl. 2007;54(1):91-105
pubmed: 17633868
Taiwan J Obstet Gynecol. 2020 Nov;59(6):838-841
pubmed: 33218398
Cancer Epidemiol Biomarkers Prev. 2021 Feb;30(2):422-425
pubmed: 33293341
Diabetes Care. 2007 Sep;30(9):2309-13
pubmed: 17536071
J Comput Graph Stat. 2022;31(4):1063-1075
pubmed: 36644406
Trends Endocrinol Metab. 2012 Oct;23(10):509-15
pubmed: 22579050
BMJ. 2015 Jan 07;350:g7594
pubmed: 25569120
BMC Med Res Methodol. 2009 Jul 28;9:57
pubmed: 19638200
Nutrients. 2016 Feb 16;8(2):89
pubmed: 26891320
Biol Res Nurs. 2014 Jan;16(1):38-45
pubmed: 24057220
Life Sci. 2011 Nov 7;89(19-20):717-24
pubmed: 21925516
Pharmacol Ther. 2015 Feb;146:35-52
pubmed: 25205158
Eur Heart J. 2014 Aug 1;35(29):1925-31
pubmed: 24898551
Am J Clin Nutr. 2001 Aug;74(2):219-26
pubmed: 11470724
Br J Nutr. 2010 Mar;103(5):742-8
pubmed: 19860985
Environ Health Perspect. 2017 Dec 20;125(12):127003
pubmed: 29373861
Am J Clin Nutr. 2005 Oct;82(4):813-20
pubmed: 16210711
Med Hypotheses. 2010 Jan;74(1):78-80
pubmed: 19692186
Metallomics. 2014 Apr;6(4):748-73
pubmed: 24549403
Am J Clin Nutr. 1993 Mar;57(3):414-9
pubmed: 8438777
J Clin Epidemiol. 2003 Jan;56(1):28-37
pubmed: 12589867
Transfusion. 2014 Mar;54(3 Pt 2):789-96
pubmed: 24372094
J Matern Fetal Neonatal Med. 2010 May;23(5):383-8
pubmed: 19951010
Int J Mol Sci. 2019 Jul 04;20(13):
pubmed: 31277367
Hemodial Int. 2013 Jan;17(1):116-21
pubmed: 22716163
Epidemiology. 2010 Jan;21(1):128-38
pubmed: 20010215