# Association Between Dietary Index for Gut Microbiota and the Risk of Pelvic Inflammatory Disease: Mediating Role of Anti‐ and Pro‐Inflammatory Dietary Patterns

**Authors:** Yanjing Bao, Xianyue Hu, Tianyang Gao, Wenfeng Hua

PMC · DOI: 10.1002/fsn3.71563 · Food Science & Nutrition · 2026-02-19

## TL;DR

A better gut-friendly diet is linked to a lower risk of pelvic inflammatory disease, possibly by reducing inflammation.

## Contribution

This study introduces the Dietary Index for Gut Microbiota (DI-GM) as a predictor of pelvic inflammatory disease risk, mediated by inflammatory dietary patterns.

## Key findings

- Higher DI-GM scores are associated with a decreased risk of pelvic inflammatory disease (PID).
- Inflammatory dietary patterns mediate 26.82% of the association between DI-GM and PID.
- Subgroup analyses confirm an inverse correlation between DI-GM and PID risk across various factors.

## Abstract

Recent studies suggest that an imbalance in the gut microbiota, known as dysbiosis, may affect inflammation. The Dietary Index for Gut Microbiota (DI‐GM) is a new measure of dietary quality that reflects gut microbiota diversity and abundance. However, its association with pelvic inflammatory disease (PID) remains unclear. This study explored the relationship between DI‐GM and the risk of developing PID. This cross‐sectional study analyzed data from 4539 women aged 18–59 years obtained from the National Health and Nutrition Examination Survey (NHANES) database for the period of 2013–2018. To explore the association between DI‐GM and PID, we employed weighted multivariable linear and logistic regression, restricted cubic splines (RCS), and subgroup analyses. Additionally, mediation analysis was conducted to assess the influence of anti‐ and pro‐inflammatory dietary patterns, represented by the Dietary Inflammatory Index (DII), on the relationship between DI‐GM and PID. Among the eligible participants, 255 (5.62%) had PID. A higher proportion of participants with lower DI‐GM scores experienced PID. Multivariable logistic regression analysis revealed a negative association between DI‐GM and the risk of PID, regardless of whether the independent variable was considered a continuous variable or in quartiles in the fully adjusted model (Model 3, continuous variable: OR = 0.87, 95% confidence interval (CI): 0.79–0.96, p = 0.012; Q3 vs. Q1: OR = 0.58, 95% CI = 0.36–0.94, p = 0.036; Q4 vs. Q1: OR = 0.55, 95% CI = 0.35–0.87, p = 0.017, p for trend = 0.018). The RCS curves demonstrated a non‐linear relationship between the DI‐GM scores and PID risk. Subgroup analyses indicated an inverse correlation between DI‐GM and PID risk across various covariates. Mediation analysis showed that inflammatory dietary patterns accounted for 26.82% of the mediation proportion in the association between DI‐GM and PID. These results indicate that higher DI‐GM scores are correlated with a decreased risk of PID. Inflammatory dietary patterns may mediate the association between DI‐GM and PID, suggesting that restoring gut homeostasis and health through dietary interventions may prevent or ameliorate PID.

Higher DI‐GM scores were associated with a lower risk of developing PID. Inflammatory dietary patterns may influence the relationship between DI‐GM and PID, indicating that improving gut health through dietary changes may prevent or alleviate PID.

## Linked entities

- **Diseases:** pelvic inflammatory disease (MONDO:0000922), PID (MONDO:0000922)

## Full-text entities

- **Diseases:** ectopic pregnancy (MESH:D011271), DI (MESH:C564703), gastrointestinal symptoms (MESH:D012817), DII (MESH:D007249), sarcopenia (MESH:D055948), DI-GM (MESH:C566784), carcinogenic (MESH:D011230), hypertension (MESH:D006973), sleep disorders (MESH:D012893), infertility (MESH:D007246), diabetes (MESH:D003920), infection (MESH:D007239), GM (MESH:C562602), obesity (MESH:D009765), pelvic infection (MESH:D034161), nausea and vomiting (MESH:D020250), PID (MESH:D000292), metabolic disorders (MESH:D008659), infectious condition (MESH:D003141), chronic pelvic pain (MESH:D011472)
- **Chemicals:** DI-GM (-), sugar (MESH:D000073893), Nitrite (MESH:D009573), butyrate (MESH:D002087), propionate (MESH:D011422), alcohol (MESH:D000438), acetate (MESH:D000085), ROS (MESH:D017382), SCFA (MESH:D005232), beta-glucan (MESH:D047071), blood glucose (MESH:D001786), Chlorogenic acid (MESH:D002726), nitrosamines (MESH:D009602)
- **Species:** Cicer arietinum (chickpea, species) [taxon 3827], Homo sapiens (human, species) [taxon 9606], Bifidobacterium (genus) [taxon 1678], Lactobacillus (genus) [taxon 1578], Clostridium (genus) [taxon 1485], Brassica oleracea var. italica (asparagus broccoli, varietas) [taxon 36774], Persea americana (avocado, species) [taxon 3435]

## Full text

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## Figures

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## References

56 references — full list in the complete paper: https://tomesphere.com/paper/PMC12920683/full.md

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Source: https://tomesphere.com/paper/PMC12920683