ArticlePloS one2025
Association of the newly proposed dietary index for gut microbiota and hyperlipidemia: From the 2007-2020 NHANES study.
Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Dietary Index for Gut Microbiota and the Odds of Metabolic Dysfunction-Associated Fatty Liver Disease in Overweight and Obese Children and Adolescents: A Cross-Sectional Study.Health science reports · 2026Article
- Association between the novel dietary index for gut microbiota and diabetic kidney disease among patients with diabetes: evidence from the NHANES.BMC public health · 2026Article
- Inverse relationship between dietary index for gut microbiota and cardiovascular-kidney-metabolic syndrome among the general adult population.Scientific reports · 2025Article
- Dietary index for gut microbiota and risk of incident irritable bowel syndrome: a large-scale prospective cohort study.Nutrition journal · 2025Article
- The modifying effect of dietary index for gut microbiota on the association between urinary arsenic exposure and bladder cancer risk: a nationwide cohort study.Frontiers in nutrition · 2025Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThe purpose of this study was to investigate the relationship between the Dietary Index for Gut Microbiota (DI-GM) and hyperlipidemia (HL). The DI-GM, a novel index for assessing gut microbiota diversity, has not yet been thoroughly examined in relation to HL.
methodsThis research involved a cohort of 13,529 individuals enrolled from the National Health and Nutrition Examination Survey (NHANES) between 2007 and 2020. We applied restricted cubic spline (RCS) analysis and weighted multivariable logistic regression to assess the association between DI-GM and HL, supplemented by subgroup analyses to reinforce these findings.
resultsAfter multivariable adjustment, subjects with high intake of DI-GM were determined to have a significant reduced risk for developing HL, with a 5% reduced risk for HL for each one standard deviation increased in DI-GM (P = 0.01). In contrast with the group with a DI-GM < 3, HL in the group with a DI-GM > 6 was 40% reduced (P < 0.001). RCS analysis showed a negative linear dose-response relation between DI-GM and development of HL. Subgroup analysis showed an interaction between age-stratification and DI-GM (P = 0.01), but not with gender, racial, BMI, diabetes, and hypertension groups (P > 0.05).
conclusionOur study results show a significant negative linear correlation between DI-GM and HL. However, further research is needed to confirm our findings.
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