Evidence map›Paper›PMID 37111075›Full record

ArticleNutrients2023

The Relationship between the Dietary Inflammatory Index (DII) and Metabolic Syndrome (MetS) in Middle-Aged and Elderly Individuals in the United States.

Qilong Zhao, Xinyue Tan, Zhenni Su, Habasi Patrick Manzi, Li Su, Zhenchuang Tang, Ying Zhang

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 26 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 3 pooled it
–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

26 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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

7 authors.

Qilong ZhaoSchool of Public Health, Lanzhou University, Lanzhou 730000, China.
Xinyue TanSchool of Public Health, Lanzhou University, Lanzhou 730000, China.
Zhenni SuSchool of Public Health, Lanzhou University, Lanzhou 730000, China.
Habasi Patrick ManziSchool of Public Health, Lanzhou University, Lanzhou 730000, China.
Li SuSchool of Public Health, Lanzhou University, Lanzhou 730000, China.
Zhenchuang TangInstitute of Food and Nutrition Development, Ministry of Agriculture and Rural Affairs, Beijing 100081, China.ORCID 0000-0002-9678-6970
Ying ZhangSchool of Public Health, Lanzhou University, Lanzhou 730000, China.ORCID 0000-0003-1116-8290

Funding

the Fundamental Research Funds for the Central Universities lzujbky-2021-ct20the National Natural Science Foundation of China 82173497
6 · The paper itself

Abstract

(1) Background: With the aging demographic shift in society, there is a growing number of middle-aged and elderly individuals affected by metabolic syndrome (MetS), a risk factor contributing to all causes of mortality. Inflammation plays a crucial role in the development of MetS. This study aims to examine the correlation between MetS and pro-inflammatory diets in middle-aged and elderly individuals, utilizing the Dietary Inflammation Index (DII) as a measure. (2) Methods: Data were extracted from the 2007-2016 National Health and Nutrition Examination Survey (NHANES) database for individuals who were 45 years of age or older. The DII was determined for each participant through 24-h dietary recall interviews. The relationship between DII and MetS was assessed using binary logistic regression analysis, and the association between DII and MetS-related indicators was further explored through generalized linear model (GLM) and quantile regression analysis. (3) Results: A total of 3843 middle-aged and elderly individuals were included in the study. After controlling for confounding factors, the highest quartile of DII was associated with a higher risk of MetS (ORQ4:Q1 = 1.339; 95% CI: 1.013, 1.769;

Indexed as

Metabolic SyndromeAgedDietHumansInflammationMiddle AgedNutrition SurveysRisk FactorsUnited Statesdietdietary inflammatory indexmetabolic syndromemiddle-aged and elderly peoplenutrition

Identifiers

PMID37111075
PMCPMC10146265

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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 OpenQuestion graph.