Glycemic control and health behaviors in adolescents with type 1 diabetes (original) (raw)
Related papers
Glycemic control and correlates in a group of sub Saharan type 1 diabetes adolescents
Objectives: This study aims to describe the prevalence of glycemic control and related factors in a population of Sub-Saharan African T1D patients. We carried out a cross-sectional study including children and adolescents from seven different centers of the Changing Diabetes in Children (CDiC) program. All children enrolled in the program where recruited after parental consent. Diabetes history, daily practice anthropometrics parameters and HbA1c were assessed for each participant. Results: We enrolled 95 children adolescents, aged from 06 to 19 years. The mean HbA1c was 9.2 ± 2.5% and 67.4% of participant had poor glycemic control. There was an association between study level of the patients (p = 0.03), healthy eating habits (p < 0.001), diabetes duration (p < 0.001) and level of glycemic control on univariate analysis. On multivariate analysis, diabetes diagnosed for more than 2 years was associated to a good control compared to those with diagnosis that is more recent. Glycemic control of adolescents with type1 diabetes remain very poor in Cam-eroon despite the implementation of free diabetes care through the program CDiC.
Pediatric diabetes, 2016
The main aims of this study were to assess longitudinal glycemic control and the prevalence of retinopathy and nephropathy in young people (aged 14-30 yr) with type 1 diabetes in Norway. Data on 874 patients were obtained by linking two nationwide, population-based medical quality registries: The Norwegian Diabetes Register for Adults and The Norwegian Childhood Diabetes Registry. Median age was 23 yr, median diabetes duration 9 yr and 51% were male. Median HbA1c increased through adolescence to peak at ages of 17 yr for females and 19 yr for males, females had higher HbA1c than males: 9.3% (78 mmol/mol) vs. 9.1% (76 mmol/mol). Subsequently, median HbA1c declined but was still >8% (>64 mmol/mol) for patients approaching 30 yr. Half of the patients aged 14-17 yr and 40% of patients aged 18-25 yr had HbA1c >9% (75 mmol/mol). Retinopathy was found in 16% and nephropathy in 13% of the population. Patients transferring from the pediatric department to adult care between the ages...
Glycemic Control in Youth with Diabetes: The SEARCH for Diabetes in Youth Study
The Journal of Pediatrics, 2009
Objective To assess correlates of glycemic control in a diverse population of children and youth with diabetes. Study design This was a cross-sectional analysis of data from a 6-center US study of diabetes in youth, including 3947 individuals with type 1 diabetes (T1D) and 552 with type 2 diabetes (T2D), using hemoglobin A 1c (HbA 1c ) levels to assess glycemic control.
Journal of Diabetes & Metabolism, 2015
Background: Type 1 diabetes (T1DM) is a chronic metabolic disorder. Factors affecting glycemic control including insulin regimen and glucose monitoring are important aspects in management of this disease. Objective: We aimed to investigate the relationship between glycemic control measured as glycosylated hemoglobin (HbA1c) with self-monitoring of blood glucose (SMBG) and insulin regimen in children and adolescents with T1DM. Methods: A cross-sectional questionnaire-based study looking into SMBG and insulin regimens among children and adolescents diagnosed with T1DM in King Abdulaziz University Hospital. Results: The study population was composed of (n=230) patients. The mean level of HbA1c was 8.79 ± 2.58%. The majority of patients (98.6%) were on intensive insulin therapy. Most frequently used (84.5%) type of insulin regimen was the intermediate plus short acting insulin. Statistical analysis revealed no significant association between various factors such as gender, age, type of insulin, SMBG, nor glucose correction with glycemic control. Conclusion: SMBG and intensive insulin therapy were suggested in literature as predictors of well-controlled T1DM. However, in our Saudi population, the results were not statistically significant enough to make such an association. Nevertheless, it is good practice to emphasize the value of SMBG and regular insulin injections in improving diabetic care.
Predictors of glucose control in children and adolescents with type 1 diabetes mellitus
Pediatric Diabetes, 2005
Aims: To evaluate the glucose control [(as measured by hemoglobin A1c (HbA1c)], the factors associated with glycemic control, and possible explanations for these associations in a sample of children and adolescents with type 1 diabetes. Methods: Data were collected on 155 children and adolescents, with type 1 diabetes mellitus, attending a multidisciplinary diabetes clinic in Portland, OR. Patients' hospital charts were reviewed to determine demographic factors, disease-related characteristics, and HbA1c level. Results: Mean percent HbA1c was 9.3. Adolescents between the ages of 14 and 18 yr were in poorer metabolic control (adjusted mean percent HbA1c 0.56 higher than children 2-8 yr). Children who attended the clinic three to four times in the previous year were in better control (adjusted mean percent HbA1c 0.46 lower than those who visited two or fewer times and 1.11 lower than those who attended five or more times). Children with married parents were in better glycemic control than those of single, separated, or divorced parents (adjusted mean percent HbA1c 0.47 lower for children of married parents). This effect appeared to be mediated, in part, by the number of glucose checks performed per day. Conclusions: This study suggests that adolescents should be targeted for improved metabolic control. Diabetes team members need to be aware of changing family situations and provide extra support during stressful times. Regular clinic attendance is an important component of intensive diabetes management. Strategies must be developed to improve accessibility to the clinic and to identify patients who frequently miss appointments.
Adolescent Risk Behavior is Less Frequent in Patients with Type 1 Diabetes
Journal of Diabetes & Metabolism, 2013
Aims/Hypothesis: This study assessed whether adolescents with type 1 diabetes engaged in risk behaviors as frequently as their healthy peers and whether engaging in risk behavior influenced their metabolic control. Subjects and methods: Specially designed self-report questionnaires containing questions on demographic and family characteristics, cigarette smoking, alcohol and illegal drug use, eating and dieting habits, school truancy, running away from home, sexual activity, and engagement in sports were administered to a representative cohort of adolescents with type 1 diabetes and healthy controls. Results: Questionnaires were returned by 126 patients (75 females, 51 males; mean age 16.9 ± 1.7) and 499 control subjects (307 females, 192 males; mean age 16.9 ± 1.2). The groups showed no differences in demographic and family characteristics. The females with type 1 diabetes compared to healthy controls reported lower prevalence of cigarette smoking (p<0.05), drinking liquors (p<0.001), being drunk (p<0.01), and higher prevalence of binge eating (p<0.01), maladaptive purging behavior (p<0.001) and frequently exercising (p<0.001). The males with type 1 diabetes compared to healthy controls reported lower prevalence of cigarette smoking (p<0.001), drinking beer (p<0.001), wine (p<0.05), and liquors (p<0.001), being drunk (p<0.001), using soft drugs (p<0.001), cutting class (p<0.05), running away from home (p<0.05) and being sexually active (p<0.01). Average glycosylated hemoglobin values of the patients who ever engaged in maladaptive purging (p=0.04) and used hard drugs (p=0.005) were higher compared to the ones who never had. Conclusions: Type 1 diabetes was protective for most adolescent risk behaviors apart from disordered eating in females.
Journal of Clinical Research in Pediatric Endocrinology
What is already known on this topic? What this study adds? Objective: The aim of this study was to show the reliability and validity of a Turkish version of Diabetes Eating Problem Survey-Revised (DEPS-R) in children and adolescents with type 1 diabetes mellitus. Methods: A total of 200 children and adolescents with type 1 diabetes, ages 9-18 years, completed the DEPS-R Turkish version. In addition to tests of validity, confirmatory factor analysis was conducted to investigate the factor structure of the 16-item Turkish version of DEPS-R. Results: The Turkish version of DEPS-R demonstrated satisfactory Cronbach's ∝ (0.847) and was significantly correlated with age (r=0.194; p<0.01), hemoglobin A 1c levels (r=0.303; p<0.01), and body mass index-standard deviation score (r=0.412; p<0.01) indicating criterion validity. Median DEPS-R scores of Turkish version for the total samples, females, and males were 11.0, 11.5, and 10.5, respectively. Conclusion: Disturbed eating behaviors and insulin restriction were associated with poor metabolic control. A short, self-administered diabetes-specific screening tool for disordered eating behavior can be used routinely in the clinical care of adolescents with type 1 diabetes. The Turkish version of DEPS-R is a valid screening tool for disordered eating behaviors in type 1 diabetes and it is potentially important to early detect disordered eating behaviors. Keywords: Diabetes eating problem survey-revised, distributed eating behaviors, type 1 diabetes mellitus, children and adolescent No validated disease-specific short screening tool for children and adolescents with type 1 diabetes in Turkey has so far been established. The Turkish version of Diabetes Eating Problem Survey-Revised can be used as a valid screening tool for disordered eating behaviors in type 1 diabetes. This short, self-administered diabetes-specific screening tool for disordered eating behavior can be used in the clinical care of children and adolescents with type 1 diabetes. Noticing and treating eating disorders in children and adolescents with type 1 diabetes is important because of their potentially severe consequences. Using a screening tool designed specifically for individuals with type 1 diabetes when assessing disturbed eating behaviors in this population is important.
Glycemic Control and Metabolic Parameters in Children and Adolescents With Type 1 Diabetes
Cureus, 2023
Aim: The association between glycemic control and metabolic status is poorly defined in children and adolescents with T1D, besides being biologically plausible. We aimed to evaluate the association between glycemic control and body mass index (BMI), blood pressure (BP), and lipid profile in children and adolescents with T1D. Methods: Observational cross-sectional study including children and adolescents (5-18 years old) followed in our outpatient clinic with the diagnosis of T1D for at least a year. We used linear regression models (unadjusted and adjusted to sex and age) to evaluate the association between glycated hemoglobin (A1c) and time in range (TIR), several prespecified metabolic parameters, and prespecified demographic and clinical characteristics. We considered a p-value of <0.05 to be statistically significant. Results: A total of 144 patients were included, 51% of whom were female. The population had a mean age of 12.7±3.4 years old. We report a positive association between A1c and BMI, systolic and diastolic BP, totaland LDL-cholesterol and triglycerides. Females and patients diagnosed at a younger age presented with higher A1c values. There is a tendency for a negative association between TIR and the former parameters. Higher A1c levels and lower TIR were associated with higher glycemic variability and were treated with a higher basal insulin per Kg dose. Conclusion: Our results support an important association between worse glycemic control and an unhealthier metabolic profile in children and adolescents with T1D. We can hypothesize that a good glycemic profile is needed to achieve good metabolic control at a young age.
For the Norwegian Study Group for Childhood Diabetes
2016
OBJECTIVE — To examine the relationship between blood glucose control and the time spent watching television in Norwegian children and adolescents with type 1 diabetes in a population-based study. RESEARCHDESIGNANDMETHODS — A total of 538 children and adolescents from 9 hospitals in the eastern part of Norway participated in the study; 70 % of eligible subjects participated. The time spent watching television and time using a computer was recorded separately by interview together with clinical data. Mean (SD) age was 13.1 3.7 years, mean diabetes duration was 5.4 3.4 years, and mean A1C was 8.6 1.3 % (reference range 4.1–6.4). RESULTS — Sixty-two patients (11%) watched television 1 h daily (mean A1C 8.2 0.9%), 189 patients (35%) watched television between 1 and 2 h daily (8.4 1.2%), 166 patients (31%) watched television 2–3 h daily (8.7 1.4%), 75 patients (14%) watched televi-sion 3–4 h daily (8.8 1.2%), and 46 patients (9%) watched television4 h daily (9.5 1.6%). This trend was hig...