Statistical analysis
CHRONIC DISEASES
One-way analysis of variance (ANOVA) was used to statistically analyse the data and to compare the groups in terms of quantitative variables such as maternal age, Body Mass Index (BMI), infants' gestational age at birth and age upon entry to the study, infant’s weight, height and head circumference, and maternal consumption of fluids and tea (glass/day). Fisher's exact test was used to compare the groups in terms of variables such as economic status, mode of birth, paternal education level, and type of serum injected into the infant (e.g., Dextrose water). Chi-squared test was used to compare the group in terms of maternal and paternal occupation, maternal education and number of previous births, infant’s observed sex at birth, whether pregnancy was planned or unplanned, chronic diseases, any drug use during pregnancy, maternal use of steroids, supplements and drugs, cause of infant hospitalization and chosen infant feeding method.One-way ANOVA was used to compare the frequency of pumping, time spent on pump, time spent skin-to-skin with the infant, frequency of liquids and tea based on the number of glasses consumed during the day, amount of pumped milk at the end of each day, and infant weight in the groups on the first to seventh days after the start of the intervention. Analysis of variance with repeated measures was used for the comparison of the mean frequency of pump use, time spent on pump, time spent skin-to-skin with the infant, frequency of liquids and tea based on the number of glasses consumed during the day, amount of pumped milk at the end of each day, and infant weight over time (first to seventh days after the start of the interventions). Data were analysed by SPSS software version 22 (IBM Corp, US). In all tests, a p-value of < 0.05 was considered significant.