Evidence map›Paper›PMID 37960206›Full record

ArticleNutrients2023

Construct Validation of the Dietary Inflammatory Index (DII) among Young College-Aged Women.

Deniz Azarmanesh, Jessica Pearlman, Elena T Carbone, Janie C DiNatale, Elizabeth R Bertone-Johnson

Abstract read
In one paragraph

Article in Nutrients, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Trial
  2. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Deniz AzarmaneshDepartment of Human Nutrition and Hospitality Management, The University of Alabama, Tuscaloosa, AL 35487, USA.
Jessica PearlmanInstitute for Social Science Research, University of Massachusetts Amherst, Amherst, MA 01003, USA.
Elena T CarboneDepartment of Nutrition and Commonwealth Honors College, University of Massachusetts Amherst, Amherst, MA 01003, USA.
Janie C DiNataleDepartment of Human Nutrition and Hospitality Management, The University of Alabama, Tuscaloosa, AL 35487, USA.
Elizabeth R Bertone-JohnsonDepartment of Health Promotion and Policy, University of Massachusetts Amherst, Amherst, MA 01003, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Dietary Inflammatory Index (DII) is designed to assess the inflammatory potential of the diet. While previous research has utilized DII among college-aged women, no study to date has validated it in this population. We conducted a construct validation of DII among 393 healthy women aged 18-31 years against a robust panel of 14 inflammatory biomarkers, including CRP, IL-1β, IL-4, IL-6, IL-10, and TNF-α, which were used in the development of DII. Three linear regression models were constructed: (1) an age-adjusted model, (2) the most parsimonious model based on likelihood ratio tests, and (3) a fully adjusted model for age, race, body mass index, waist circumference, physical activity, smoking status, and nonsteroidal anti-inflammatory drug use. DII was derived from the Harvard food frequency questionnaire and categorized into quartiles. Consistent with our hypothesis, DII was negatively and significantly associated with back-transformed IL-10 levels, confirming that a more pro-inflammatory diet was associated with lower levels of an anti-inflammatory cytokine (Model 3: Q4 vs. Q1 β = 0.62; 95% CI: 0.42, 0.93;

Indexed as

InflammationInterleukin-10Anti-Inflammatory AgentsBiomarkersDietFemaleHumansYoung AdultAnti-Inflammatory AgentsBiomarkersInterleukin-10construct validationcytokinesDietary Inflammatory IndexDIIinflammationyoung women

Identifiers

PMID37960206
PMCPMC10647813

What Socratic holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.