Quality of Diet of Patients with Coeliac Disease in Comparison to Healthy Children.
Sara SilaMario MašićDraženka KranjčecTena NiseteoLucija MarićAna RadunićIva HojsakOleg JadrešinZrinjka MisakPublished in: Children (Basel, Switzerland) (2022)
A lifelong strict gluten-free diet is the only available treatment for patients with coeliac disease (CD). As with any restrictive diet, it may potentially lead to nutritional deficits. Seventy-six patients with CD (mean age 9.0 ± 4.3 years, 57% female) and 590 healthy controls (HC) (mean age 9.9 ± 0.1 years, 54% female) were recruited and requested to keep a 3-day food record (3DFR). In HC patients, anthropometric data were determined at the time when 3DFRs were collected. In CD patients, anthropometric data were determined at two time points: at diagnosis and at the time of 3DFRs collection. Intake of energy, macronutrients, and micronutrients was determined using PRODI expert 6.9 software and expressed as a percentage of recommended daily intake. In CD patients, all measured anthropometric measures (body weight (BW), body height (BH), and body mass index (BMI) z-scores) increased significantly after the mean duration of 34.1 months of a GFD. Overall, CD patients had significantly lower BW and BH z-scores compared to healthy controls. Patients with CD were generally more compliant with the recommended dietary intakes of macronutrients and some micronutrients, as compared to HC. Three participants were not compliant with the GFD; 42.1% of participants took oral nutritional supplements at the start of their GFD. Our study showed that patients with CD have better compliance with dietary recommendations compared to healthy controls, showing that a well-balanced GFD diet can provide necessary macro- and micronutrients.
Keyphrases
- end stage renal disease
- body mass index
- newly diagnosed
- chronic kidney disease
- ejection fraction
- physical activity
- peritoneal dialysis
- prognostic factors
- body composition
- body weight
- patient reported outcomes
- weight gain
- machine learning
- big data
- electronic health record
- climate change
- artificial intelligence
- combination therapy
- replacement therapy