The association between dietary inflammatory index with endometriosis: NHANES 2001–2006

Hu, Pan-Wei; Yang, Bi-Rong; Zhang, Xiaole; Yan, Xiao-Tong; Ma, Jun; Qian, Cong; Jiang, Guo-Jing

doi:10.1371/journal.pone.0283216

Cited by 12 publications

(1 citation statement)

References 29 publications

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“…In general, the DII parameter was based on 45 different foods (38). Based on earlier research, DII scores based on fewer than 30 items were still dependable even if the NHANES program only recorded 26 foods (39)(40)(41)(42). In this study, the dietary data used to calculate the DII score were evaluated using the average of two 24-h dietary recalls.…”

Section: Dietary Inflammatory Indexmentioning

confidence: 99%

Pro-inflammatory diets promote the formation of hyperuricemia

Liu,

Chen,

Gao

et al. 2024

Front. Endocrinol.

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BackgroundHyperuricemia, as a very prevalent chronic metabolic disease with increasing prevalence year by year, poses a significant burden on individual patients as well as on the global health care and disease burden, and there is growing evidence that it is associated with other underlying diseases such as hypertension and cardiovascular disease. The association between hyperuricemia and dietary inflammatory index (DII) scores was investigated in this study.MethodsThis study enrolled 13, 040 adult subjects (aged ≥ 20 years) from the US National Health and Nutrition Survey from 2003 to 2018. The inflammatory potential of the diet was assessed by the DII score, and logistic regression was performed to evaluate the relationship between the DII score and the development of hyperuricemia; subgroup analyses were used to discuss the influence of other factors on the relationship.ResultsParticipants in the other quartiles had an increased risk of hyperuricemia compared to those in the lowest quartile of DII scores. Stratification analyses stratified by body mass index (BMI), sex, hypertension, drinking, diabetes, education level and albumin-creatinine-ratio (ACR) revealed that the DII score was also associated with the risk of hyperuricemia (P<0.05). There was an interaction in subgroup analysis stratified by sex, age, and hypertension (P for interaction <0.05). The results showed a linear-like relationship between DII and hyperuricemia, with a relatively low risk of developing hyperuricemia at lower DII scores and an increased risk of developing hyperuricemia as DII scores increased.ConclusionsThis study showed that the risk of hyperuricemia increased at slightly higher DII scores (i.e., with pro-inflammatory diets), but not significantly at lower levels (i.e., with anti-inflammatory diets). The contribution of the DII score to the development of hyperuricemia increased with higher scores. The relationship between inflammatory diets and hyperuricemia requires more research on inflammation, and this study alerts the public that pro-inflammatory diets may increase the risk of developing hyperuricemia.

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Section: Dietary Inflammatory Indexmentioning

confidence: 99%

Pro-inflammatory diets promote the formation of hyperuricemia

Liu,

Chen,

Gao

et al. 2024

Front. Endocrinol.

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Association between dietary inflammation index and asthma COPD overlap

Wang,

et al. 2024

Sci Rep

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There are few studies on the relationship between dietary habits and asthma–COPD overlap (ACO). In this study, we aimed to investigate the association between dietary inflammation index (DII) score and ACO. Data from the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2020. The DII score was first calculated and the demographic characteristics of the grouping based on the DII quartile were assessed. The weighted logistic regression model was used to study the relationship between DII and ACO. Subgroup analysis was used to further explore the differences in different subgroups. Restricted cubic spline (RCS) plot was used to show the general trend of DII score and disease risk, and threshold effect analysis was used to determine the inflection point. In a comparison of baseline characteristics, the highest ACO prevalence was found in the fourth quartile array of people in DII. An adjusted weighted logistic regression model showed that DII was positively correlated with the incidence of ACO. Subgroup analysis showed that the association was more pronounced in women, non-Hispanics, people with cardiovascular disease, and people without diabetes. The RCS graph shows that overall, the risk of ACO increases with the increase of DII score. Threshold effect analysis showed that the inflection point was 3.779, and the risk was more significant after the DII score was greater than the inflection point value (OR 2.001, 95% CI 1.334–3.001, P < 0.001). Higher DII scores were positively associated with ACO risk. These results further support diet as an intervention strategy for ACO prevention and treatment.

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