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The association of milk and dairy consumption with iodine status in pregnant women in Oporto region.

Pedro FerreiraCátia PinheiroCláudia Matta CoelhoJuliana GuimarãesGonçalo PereiraNara Xavier MoreiraAlice CortezIsabella BracchiDiogo PestanaInês Barreiros MotaCarmo PruchaCristina MartinsCélia Alves RibeiroEdgar PintoAgostinho AlmeidaCristina Delerue-MatosNuno MontenegroCláudia Camila DiasAndré Moreira-RosárioLuís Filipe AzevedoAnne-Lise BrantsæterCarla RamalhoVirgínia Cruz FernandesConceição CalhauJoão Costa LeiteElisa Keating
Published in: The British journal of nutrition (2021)
The role of milk and dairy products in supplying iodine to pregnant women is unknown in Portugal. The aim of this study was to evaluate the association between milk and dairy product consumption and the iodine status of pregnant women in the IoMum cohort of the Oporto region. Pregnant women were recruited between 10 and 13 weeks of gestation, when they provided a spot urine sample and information on lifestyle and intake of iodine-rich foods. Urinary iodine concentration (UIC) was determined by inductively coupled plasma MS. A total of 468 pregnant women (269 iodine supplement users and 199 non-supplement users) were considered eligible for analysis. Milk (but not yogurt or cheese) intake was positively associated with UIC, in the whole population (P = 0·02) and in the non-supplement users (P = 0·002), but not in the supplement users (P = 0·29). In non-supplement users, adjusted multinomial logistic regression analysis showed that milk consumption <3 times/month was associated with a five times increased risk of having UIC < 50 µg/l when compared with milk consumption ≥2 times/d (OR 5·4; 95 % CI 1·55, 18·78; P = 0·008). The highest UIC was observed in supplement users who reported consuming milk once per d (160 µg/l). Milk, but not yogurt or cheese, was positively associated with iodine status of pregnant women. Despite the observed positive association, daily milk consumption may not be sufficient to ensure adequate iodine intake in this population.
Keyphrases
  • pregnant women
  • dual energy
  • pregnancy outcomes
  • cardiovascular disease
  • multiple sclerosis
  • physical activity
  • healthcare
  • preterm infants
  • weight gain
  • health information
  • gestational age