The association between dietary insulin index and dietary insulin load with rheumatoid arthritis.
Mohadeseh Soleimani DamanehNaheed AryaeianShole KhajoeniaLeila AzadbakhtFatemeh Sadat Hosseini-BaharanchiPublished in: The British journal of nutrition (2023)
This study was designed to assess the relationship between dietary insulin index (DII) and dietary insulin load (DIL) and rheumatoid arthritis (RA) risk in a case-control study. This study enrolled 95 newly diagnosed RA patients and 200 age- and sex-matched healthy controls. Dietary intakes were assessed using a validated 168-item semi-quantitative FFQ. DII and DIL were calculated using food insulin index values from previously published data. In the unadjusted model, individuals in the highest DIL tertile had the significantly higher odds of RA than those in the lowest tertile of the DIL scores (OR=1.32, 95% CI:1.15-1.78, Ptrend=0.009). After adjusting for confounders, the risk of RA was 2.73 times higher for participants in the highest tertile of DIL than for those in the lowest tertile (OR=2.73, 95% CI:1.22-3.95, Ptrend<0.001). In addition, patients in the highest DII tertile had higher risk of RA than those in the first tertile (OR=2.22, 95% CI:1.48-3.95, Ptrend=0.008). This association persisted after adjusting for potential confounders (OR=3.75, 95% CI:3.18-6.78, Ptrend=0.002). Our findings suggest that diets high in DII and DIL may increase the risk of developing RA, independent of other potential confounders. These findings can be verified by more research, particularly with a prospective design.
Keyphrases
- rheumatoid arthritis
- newly diagnosed
- type diabetes
- disease activity
- end stage renal disease
- ankylosing spondylitis
- ejection fraction
- interstitial lung disease
- glycemic control
- chronic kidney disease
- peritoneal dialysis
- prognostic factors
- systematic review
- high resolution
- mass spectrometry
- weight loss
- risk assessment
- deep learning
- skeletal muscle
- machine learning
- patient reported
- big data
- artificial intelligence