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The aim of this study is to determine the relationship between diets of children with cystic fibrosis and glycemic responses and some inflammatory markers.
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Cystic fibrosis is an autosomal recessive genetic disease; thick, sticky mucus accumulates in the mucin-secreting organs due to the absence or dysfunction of the cystic fibrosis transmembrane regülatör (CFTR) protein. The most commonly affected organ is the lung and the respiratory system disorder is the leading cause of death in patients with cystic fibrosis (CF). Pancreatic insufficiency is also a frequent complication in this patient group in older ages and significantly reduces life expectancy. It is argued that growth and development are adversely affected even in the stages before pancreatic insufficiency occurs. The challenges in the treatment of CFRD include dealing with increased caloric requirements for people with CF, resulting in high carbohydrate intake and frequent snacking, which exacerbates hyperglycemia. This situation causes difficulty in providing glycemic control in patients. In addition, decreased insulin secretion, as well as increased insulin resistance, delay the response to dietary glucose. This leads to an excursion of blood glucose and impaired respiratory function during the day. In addition, increased inflammation exacerbates pancreatic damage. The aim of this study is to determine the relationship between the diets of children with cystic fibrosis and glycemic responses and some inflammatory markers. In this study, general information and anthropometric measurements of patients with cystic fibrosis aged 6-18 will be recorded and their growth and development will be evaluated. With the continuous glucose monitoring system (CGMS) of the participants, the times (at least three, maximum fourteen days) when the blood glucose is below and above the target, the time in the target interval, and glucose fluctuations will be monitored. During the days of monitoring, total energy, macro-micronutrients intakes, glycemic index, and load will be calculated by asking individuals to keep a record of food consumption. The data obtained from the study will be evaluated with the SPSS package program using appropriate statistical analysis.
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24 participants in 1 patient group
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