BackgroundGiven the importance of anxiety and quality of life for the mental health of children with type 1 diabetes (T1D), exercise prescription can be of crucial significance. The present study aims to explore the effect of concurrent resistance-aerobic training on serum cortisol level, anxiety, and quality of life among pediatric T1D.MethodsForty children (aged 8–14 years) were randomly assigned to experimental (n = 20) and control groups (n = 20) for 16 weeks. The exercise training program was composed of 16 weeks of interval concurrent resistance-aerobic training with a duration of 60 min performed three times a week. The subjects first performed the resistance training (20 min of Pilates exercises and 20 min of body weight-bearing exercises). Then, the aerobic exercises were performed with an intensity of 50–75% of maximum heart rate. Before and after the training, blood tests including cortisol were carried out on the subjects by RIA kit. Anxiety and quality of life were measured by the Revised Children’s Manifest Anxiety Scale (RCMAS) and Pediatric Quality of Life (PedsQL), respectively. Body composition was measured by InBody. Data were analyzed by paired and independent t-test at p < 0.05 significance level.ResultsSixteen weeks of concurrent resistance-aerobic exercise significantly reduced the anxiety index (p = 0.001) and increased the quality of life (p = 0.003). Although the cortisol index was increased, it did not reveal any significant differences between the experimental and control groups (p = 0.781). No significant differences were observed in the indices of quality of life, anxiety, and cortisol in the control group.ConclusionsA 16-week program of concurrent resistance-aerobic training can improve the quality of life and anxiety among children suffering from T1D, but it may not influence the cortisol level (p > 0.05).
Abstract- We aimed to define Metabolic Syndrome (METs) from different viewpoints to determine the most appropriate method that could be used for early METs' diagnosis in general population and treat them immediately. This study was an analytic cross-sectional study which was conducted on 725, twelve year-old-girls and boys from Rasht city in Iran. METs was defined based on 7 different methods. Data were reported by descriptive statistics (number, percent, mean, and standard deviation) and analyzed by Cohen's kappa coefficient correlation and chi-square in SPSS version 19. The highest and lowest percentages of METs were obtained by DE Ferranti (17.5%) and viner et al., (0.8%) methods, respectively. Results showed that viner et al., had the highest degree of agreement with NCEP ATPIII and the lowest with DE Ferranti. Furthermore, De Ferranti showed the highest degree of agreement with NHANESIII and the lowest with Viner et al., According to results, the identification of the cut off points of obesity could help to promote public health care.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.