Evidence map›Paper›PMID 42458333›Full record

ArticleBMC public health2026

Association between dietary inflammatory index, empirical dietary inflammatory patterns and the risk of Long COVID: a prospective cohort study.

Yue Zhang, Daihai Mo, Yang Cai, Hongyao Lv, Minjing Wei, Fengyang Jing, Jiang Xu, Yihan Ou, Yuan Yuan, Ziqi Liu and 4 more

Abstract read
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In one paragraph

Article in BMC public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Yue Zhang *Department of Epidemiology, College of Preventive Medicine, Third Military Medical University (Army Medical University), Chongqing, 400038, China.
Daihai Mo *Department of Epidemiology, College of Preventive Medicine, Third Military Medical University (Army Medical University), Chongqing, 400038, China.
Yang CaiDepartment of Epidemiology, College of Preventive Medicine, Third Military Medical University (Army Medical University), Chongqing, 400038, China.
Hongyao LvDepartment of Epidemiology, College of Preventive Medicine, Third Military Medical University (Army Medical University), Chongqing, 400038, China.
Minjing WeiDepartment of Epidemiology, College of Preventive Medicine, Third Military Medical University (Army Medical University), Chongqing, 400038, China.
Fengyang JingDepartment of Epidemiology, College of Preventive Medicine, Third Military Medical University (Army Medical University), Chongqing, 400038, China.
Jiang XuDepartment of Epidemiology, College of Preventive Medicine, Third Military Medical University (Army Medical University), Chongqing, 400038, China.
Yihan OuDepartment of Epidemiology, College of Preventive Medicine, Third Military Medical University (Army Medical University), Chongqing, 400038, China.
Yuan YuanDepartment of Epidemiology, College of Preventive Medicine, Third Military Medical University (Army Medical University), Chongqing, 400038, China.
Ziqi LiuDepartment of Epidemiology, College of Preventive Medicine, Third Military Medical University (Army Medical University), Chongqing, 400038, China.
Xiaoyu FangDepartment of Epidemiology, College of Preventive Medicine, Third Military Medical University (Army Medical University), Chongqing, 400038, China.
Wenhui WuDepartment of Epidemiology, College of Preventive Medicine, Third Military Medical University (Army Medical University), Chongqing, 400038, China.
Xiangyu MaDepartment of Epidemiology, College of Preventive Medicine, Third Military Medical University (Army Medical University), Chongqing, 400038, China.
Xiangyu MaDepartment of Epidemiology, College of Preventive Medicine, Third Military Medical University (Army Medical University), Chongqing, 400038, China. xymacq@tmmu.edu.cn.

Funding

Chongqing Talents: Exceptional Young Talents Project CQYC202005003National Natural Science Foundation of China 82373643Outstanding Youth Science Fund of Chongqing cstc2020jcyj-jqX0014
6 · The paper itself

Abstract

backgroundInflammatory responses and immune dysregulation are considered core mechanisms of Long COVID. Given that diet can modulate systemic inflammation, we evaluated the associations between two indices reflecting dietary inflammatory potential-the Dietary Inflammatory Index (DII) and the Empirical Dietary Inflammatory Pattern (EDIP)-and the risk of Long COVID in a prospective cohort of 69,070 participants from the UK Biobank.

methodThe DII and EDIP were calculated and categorized into quartiles based on Dietary information obtained from the Oxford WebQ online system. Outcome information was obtained from hospital admission records (HESIN, ICD-10) linked to the UK Biobank. Cox proportional hazards models were used to calculate hazard ratios (HR) and 95% confidence intervals (CI). Restricted cubic splines were employed to evaluate the nonlinearity.

resultsAfter full adjustment, the highest EDIP quartile (most pro-inflammatory) was associated with increased Long COVID risk (HR = 1.15, 95% CI: 1.08-1.22, p < 0.001), with no significant association for DII. Yet, both indices demonstrated significant associations with risks for specific organ system conditions-particularly affecting the cardiovascular, gastrointestinal, kidney, and mental health systems-among the 10 predefined categories. Both indices showed significant non-linear associations with Long COVID risk (p for nonlinearity < 0.05), with a U-shaped pattern for DII and a J-shaped pattern for EDIP.

conclusionIn this prospective observational study, a pro-inflammatory dietary pattern was associated with a higher risk of Long COVID-related outcomes and multi-organ sequelae. These findings suggest that dietary inflammatory potential may be relevant to post-COVID-19 health and warrant further investigation as a potentially modifiable factor.

Indexed as

COVID-19DietInflammationAgedFemaleHumansMaleMiddle AgedPost-Acute COVID-19 SyndromeProportional Hazards ModelsProspective StudiesRisk FactorsSARS-CoV-2United KingdomDietDietary Inflammation IndexEmpirical Dietary Inflammatory PatternLong COVID

Identifiers

What Socratic holds

Textmetadata
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Registered trials

None linked

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.