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Dietary risk factors for monoclonal gammopathy of undetermined significance in a racially diverse population.

Janine Marie JosephJens HillengassLi TangAlexander M LesokhinCarl Ola LandgrenSaad Z UsmaniKirsten B MoysichSusan McCannUrvi A Shah
Published in: Blood advances (2023)
Monoclonal gammopathy of undetermined significance (MGUS) - a precursor of multiple myeloma - is associated with shorter lifespan and cardiac, renal, neurologic, and immune-related comorbidities. There is little known about modifiable risk factors for this condition. To determine if risk of MGUS is associated with dietary factors in a racially diverse population, we conducted a United States population-based case-control study from the National Health and Nutrition Examination Survey (1988-2004), which included 373 individuals with MGUS and 1,406 matched controls. Diet was characterized by one 24-hour dietary recall, with gram intake of individual foods and beverages aggregated into groups. Unconditional multivariable logistic regressions were used to model associations between intake of several food groups and MGUS, with odds ratios (OR) and 95% confidence intervals (95% CI) reported for the highest relative to the lowest quantile of intake. Daily gram intake of several food and beverage groups were significantly associated with MGUS. MGUS was inversely associated with whole-grain bread, oats, and rice (OR 0.70; 95% CI 0.48-1.00; P<0.05), fruits (excluding juice) and vegetables (OR 0.69; 95% CI 0.52-0.93; P=0.02), vegetables (OR 0.75; 95% CI 0.56-0.99; P<0.05), tomatoes (OR 0.72; 95% CI 0.51-1.00; P<0.05), and cruciferous vegetables (OR 0.44; 95% CI 0.26-0.74; P<0.01). Direct associations were observed for sugar-sweetened beverages (OR 1.34; 95% CI 1.00-1.78; P<0.05), sugar-sweetened soft drinks (OR 1.41; 95% CI 1.01-1.96; P=0.04), and artificially sweetened soft drinks (OR 1.55; 95% CI 1.04-2.33; P=0.03). Our study shows that diet is potentially a modifiable risk factor for MGUS.
Keyphrases
  • multiple myeloma
  • physical activity
  • human health
  • weight gain
  • heart failure
  • health risk
  • health risk assessment
  • body mass index
  • climate change
  • drinking water
  • drug induced