Association between dietary inflammation index and inflammatory bowel disease in adults: Results from National Health and Nutrition Examination Survey 2009–2010

• Published in: Clinical and experimental pharmacology & physiology Vol. 51; no. 6; pp. e13859 - n/a
• Main Authors: Zhu, Jing‐yi, Sun, Xiao‐ru, Liu, Mu‐yun, Sun, Chang
• Format: Journal Article
• Language: English
• Published: Australia Wiley Subscription Services, Inc 01.06.2024
• Subjects: Adult; Adults; C-Reactive Protein - analysis; C-Reactive Protein - metabolism; Confidence intervals; cross‐sectional study; Curve fitting; Diet - adverse effects; dietary inflammatory index; Female; Hemoglobin; Humans; Inflammation; Inflammation - blood; Inflammation - epidemiology; Inflammatory bowel disease; Inflammatory bowel diseases; Inflammatory Bowel Diseases - epidemiology; Intestine; Male; Middle Aged; NHANES; Nutrition Surveys; Quartiles; Regression analysis; Regression models; Risk Factors; Statistical analysis; Subgroups; Surveys; United States - epidemiology; United States; cross‐sectional study; NHANES; dietary inflammatory index; inflammatory bowel disease
• DOI: 10.1111/1440-1681.13859
• ISSN: 0305-1870

Previous study has demonstrated that the Dietary Inflammation Index (DII) played a role in the risk of inflammatory bowel disease (IBD), however, the prevalence and risk factors for IBD are distinct across locations and groups, and therefore, the findings are debatable and warrant further investigation. A total of 4363 participants were calculated in the National Health and Nutrition Examination Survey (NHANES) 2009 to 2010, of whom 1.21% self‐reported a history of IBD. DII values were performed as a good predictor of dietary inflammation based on data from two 24‐h dietary reviews in the NHANES database. Comparing the multifarious effects along with variations of the whole population by grouping populations according to DII quartiles, dietary inflammation levels increased progressively from DII quartile 1(Q1) to quartile 4(Q4). The association between DII and IBD was tested with multi‐variable logistic regression models, subgroup analyses and weighted generalized additive models. Participants in the Q4 group showed the highest levels of C‐reactive protein and reduced haemoglobin and albumin levels. Logistic regression confirmed the odds ratios (95% confidence intervals) of IBD for DII were 0.99 (0.86, 1.15), 0.97 (0.84, 1.13) and 0.80 (0.66, 0.98) in models 1, 2 and 3, respectively. The negative correlation between DII and IBD among United States adults from the NHANES database became increasingly apparent as covariates were adjusted. Subgroup analyses and smoothed curve fitting confirmed the inverse results. The study revealed that DII was correlated with the overall physical well‐being of participants. However, there was no significant association between DII and IBD.