A new dietary inflammatory index predicts interval changes in serum high-sensitivity C-reactive protein.
Inflammation is associated with a number of chronic conditions, such as cancer and cardiovascular disease. Reducing inflammation may help prevent or treat these conditions. Diet has consistently been shown to modulate inflammation. To facilitate research into the inflammatory effect of diet on health in humans, we sought to develop and validate an Inflammatory Index designed to assess the inflammatory potential of individuals' diets. An Inflammatory Index was developed based on the results of an extensive literature search. Using data from a longitudinal observational study that carefully measured diet and the inflammatory marker, serum high-sensitivity (hs) C-reactive protein (CRP), in approximately 600 adults for 1 y, we conducted analyses to test the effect of Inflammatory Index score on hs-CRP as a continuous and dichotomous (<or=3 mg/L, >3 mg/L) indicator of inflammatory response, while controlling for important potential confounders. Results based on continuous measures of hs-CRP suggested that an increasing Inflammatory Index score (representing movement toward an antiinflammatory diet) was associated with a decrease in hs-CRP. Analyses using hs-CRP as a dichotomous variable showed that an antiinflammatory diet was associated with a decrease in the odds of an elevated hs-CRP (P = 0.049). The results are consistent with the ability of the Inflammatory Index to predict hs-CRP and provide additional evidence that diet plays a role in the regulation of inflammation, even after careful control of a wide variety of potential confounders.
Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA. cavicchi@mailbox.sc.edu
Philip P
PP
Cavicchia
Susan E
SE
Steck
Thomas G
TG
Hurley
James R
JR
Hussey
Yunsheng
Y
Ma
Ira S
IS
Ockene
James R
JR
Hébert
D000328:Adult; D015415:Biomarkers / Q000097:blood; D002097:C-Reactive Protein / Q000032:analysis / Q000378:metabolism*; D004032:Diet / Q000009:adverse effects*; D002149:Energy Intake; D015444:Exercise; D005260:Female; D006706:Homeostasis; D006801:Humans; D007249:Inflammation / Q000097:blood / Q000175:diagnosis* / Q000517:prevention & control; D007375:Interleukin-1 / Q000097:blood; D016753:Interleukin-10 / Q000097:blood; D015847:Interleukin-4 / Q000097:blood; D015850:Interleukin-6 / Q000097:blood; D007407:Interviews as Topic; D008297:Male; D008875:Middle Aged; D012016:Reference Values; D057386:Search Engine; D012680:Sensitivity and Specificity; D014409:Tumor Necrosis Factor-alpha / Q000097:blood
D015415:Biomarkers; D007375:Interleukin-1; D015850:Interleukin-6; D014409:Tumor Necrosis Factor-alpha; D016753:Interleukin-10; D015847:Interleukin-4; D002097:C-Reactive Protein