A multivariate joint model to adjust for random measurement error while handling skewness and correlation in dietary data in an epidemiologic study of mortality.
Attenuation
Bayesian analysis
Joint model
NHANES
Usual intake
Journal
Annals of epidemiology
ISSN: 1873-2585
Titre abrégé: Ann Epidemiol
Pays: United States
ID NLM: 9100013
Informations de publication
Date de publication:
06 2023
06 2023
Historique:
received:
03
12
2022
revised:
20
03
2023
accepted:
23
03
2023
pmc-release:
01
06
2024
medline:
5
6
2023
pubmed:
28
3
2023
entrez:
27
3
2023
Statut:
ppublish
Résumé
A substantial proportion of global deaths is attributed to unhealthy diets, which can be assessed at baseline or longitudinally. We demonstrated how to simultaneously correct for random measurement error, correlations, and skewness in the estimation of associations between dietary intake and all-cause mortality. We applied a multivariate joint model (MJM) that simultaneously corrected for random measurement error, skewness, and correlation among longitudinally measured intake levels of cholesterol, total fat, dietary fiber, and energy with all-cause mortality using US National Health and Nutrition Examination Survey linked to the National Death Index mortality data. We compared MJM with the mean method that assessed intake levels as the mean of a person's intake. The estimates from MJM were larger than those from the mean method. For instance, the logarithm of hazard ratio for dietary fiber intake increased by 14 times (from -0.04 to -0.60) with the MJM method. This translated into a relative hazard of death of 0.55 (95% credible interval: 0.45, 0.65) with the MJM and 0.96 (95% credible interval: 0.95, 0.97) with the mean method. MJM adjusts for random measurement error and flexibly addresses correlations and skewness among longitudinal measures of dietary intake when estimating their associations with death.
Identifiants
pubmed: 36972757
pii: S1047-2797(23)00056-X
doi: 10.1016/j.annepidem.2023.03.007
pmc: PMC10239394
mid: NIHMS1886860
pii:
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
8-15Subventions
Organisme : NIA NIH HHS
ID : P30 AG021342
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR002014
Pays : United States
Informations de copyright
Copyright © 2023 Elsevier Inc. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of Competing Interest All the authors have no conflict of interest to declare for this research.
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