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Socio-demographic differences in the dietary inflammatory index from National Health and Nutrition Examination Survey 2005–2018

A comparison of multiple imputation versus complete case analysis

Bibliographic Data

ID15091036
AuthorsRachel J Meadows (0000-0001-6949-4932, JPS Health Network, corresponding author), Electra D Paskett (0000-0002-8247-8299, The Ohio State University), Julie K Bower (The Ohio State University), Gail Kaye (The Ohio State University), Gail L Kaye (The Ohio State University), Stanley Lemeshow (The Ohio State University), Randall E Harris (The Ohio State University)
Year2024
Volume27
Issue1
Pagese184-e184
Publication date2024-01-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenuePublic Health Nutrition (JOURNAL)
Journal identifiersISSN: 1368-9800 • E-ISSN: 1475-2727
PublisherCambridge University Press (CUP) (PUBLISHER)
DOI10.1017/s1368980024001800
PMID39327915
OpenAlexW4402930721
LanguageEN
Citations received1
References cited38

Objective: Studies using the dietary inflammatory index often perform complete case analyses (CCA) to handle missing data, which may reduce the sample size and increase the risk of bias. Furthermore, population-level socio-economic differences in the energy-adjusted dietary inflammatory index (E-DII) have not been recently studied. Therefore, we aimed to describe socio-demographic differences in E-DII scores among American adults and compare the results using two statistical approaches for handling missing data, i.e. CCA and multiple imputation (MI). Design: Cross-sectional analysis. E-DII scores were computed using a 24-hour dietary recall. Linear regression was used to compare the E-DII scores by age, sex, race/ethnicity, education and income using both CCA and MI. Setting: USA. Participants: This study included 34 547 non-Hispanic White, non-Hispanic Black and Hispanic adults aged ≥ 20 years from the 2005–2018 National Health and Nutrition Examination Survey. Results: The MI and CCA subpopulations comprised 34 547 and 23 955 participants, respectively. Overall, 57 % of the American adults reported 24-hour dietary intakes associated with inflammation. Both methods showed similar patterns wherein 24-hour dietary intakes associated with high inflammation were commonly reported among males, younger adults, non-Hispanic Black adults and those with lower education or income. Differences in point estimates between CCA and MI were mostly modest at ≤ 20 %. Conclusions: The two approaches for handling missing data produced comparable point estimates and 95 % CI. Differences in the E-DII scores by age, sex, race/ethnicity, education and income suggest that socio-economic disparities in health may be partially explained by the inflammatory potential of diet

Environmental health · Ethnic group · Imputation (statistics · Missing data · National Health and Nutrition Examination Survey · Population · Statistics · Demography · Medicine · Nutritional Studies and Diet · Gerontology

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Unique citing works1
Citations per year1
Citation span2026 - 2026 (1)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 1

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