Evaluating fear of hypoglycemia, pediatric parenting stress, and self-efficacy among parents of children with type 1 diabetes and their correlation with glycemic control

The Impact of Parental Electronic Health Literacy on Disease Management and Outcomes in Pediatric Type 1 Diabetes Mellitus: Cross-Sectional Clinical Study

BACKGROUND

Despite the growing uptake of smart technologies in pediatric type 1 diabetes mellitus (T1DM) care, little is known about caregiving parents' skills to deal with electronic health information sources.

OBJECTIVE

We aimed to assess the electronic health literacy of parents caring for children with T1DM and investigate its associations with disease management and children's outcomes.

METHODS

A cross-sectional survey was performed involving 150 parent-child (8-14 years old with T1DM) dyads in a university pediatric diabetology center. Parents' electronic health literacy (eHealth Literacy Scale [eHEALS]), general health literacy (Chew questionnaire and Newest Vital Sign [NVS]), and attitudes toward T1DM care (Parental Self-Efficacy Scale for Diabetes Management [PSESDM] and Hypoglycemia Fear Survey [HFS]) were investigated. Children's treatment, HbA1c level, and quality of life (Pediatric Quality of Life Inventory Diabetes Module [PedsQL Diab] and EQ-5D-Y-3L) were assessed. Multiple linear regression analysis was performed to investigate the determining factors of 6-month average HbA1c.

RESULTS

Of the 150 children, 38 (25.3%) used a pen, 55 (36.7%) used a pen plus a sensor, 6 (4.0%) used an insulin pump, and 51 (34.0%) used an insulin pump plus a sensor. Parents' average eHEALS score (mean 31.2, SD 4.9) differed significantly by educational level (P=.04) and the children's treatment (P=.005), being the highest in the pump + sensor subgroup. The eHEALS score showed significant Pearson correlations with the Chew score (r=-0.45; P<.001), NVS score (r=0.25; P=.002), and PSESDM score (r=0.35; P<.001) but not with the children's HbA1c (r=-0.143; P=.08), PedsQL Diab (r=-0.0002; P>.99), and EQ-5D-Y-3L outcomes (r=-0.13; P=.12). Regression analysis revealed significant associations of the child's HbA1c level with sex (β=0.58; P=.008), treatment modality (pen + sensor: β=-0.66; P=.03; pump + sensor: β=-0.93; P=.007), and parents' self-efficacy (PSESDM; β=-0.08; P=.001).

CONCLUSIONS

Significantly higher parental electronic health literacy was found in T1DM children using a glucose sensor. The electronic health literacy level was associated with parents' diabetes management attitude but not with the child's glycemic control. Studies further investigating the role of parental electronic health literacy in T1DM children managed at different levels of care and the local context are encouraged.

Clinically elevated parent depressive symptoms and stress at child type 1 diabetes diagnosis: Associations with parent diabetes self-efficacy at 18-months post-diagnosis

OBJECTIVE

Eighteen percent of new diagnoses of type 1 diabetes (T1D) occur in children ages 9 and younger, and the burden of diabetes management in young children predominantly falls on parents. Despite the significant amount of information parents must learn and implement quickly after diagnosis, little research has examined diabetes self-efficacy in parents of young children soon after diagnosis in a longitudinal manner. The current study examined changes in parent diabetes self-efficacy over time, and parent depressive symptoms and stress soon after child T1D diagnosis as predictors of parent diabetes self-efficacy at 12- and 18-months post-diagnosis.

RESEARCH DESIGN AND METHODS

One hundred fifty-seven primary caregivers (91.7% female, 62.2% White, Non-Hispanic) of young children (M_age  = 4.47 ± 1.65 years, 54.8% female, 60% White, Non-Hispanic) were recruited within 2 months of their child's T1D diagnosis from two pediatric hospitals in the United States as part of a randomized clinical trial. Parents self-reported on their diabetes self-efficacy, depressive symptoms, and stress and at baseline (M_days since diagnosis = 29) and on parent diabetes self-efficacy again 12- and 18-months post-diagnosis.

RESULTS

Parent diabetes self-efficacy significantly improved from baseline to 12-months and 18-months post-diagnosis (p < 0.05). Parents exhibiting clinically elevated levels of depressive symptoms and stress at baseline had significantly lower parent diabetes self-efficacy 12- and 18-months post-diagnosis compared to parents with normal levels of depressive symptoms and stress.

CONCLUSIONS

Brief interventions for parents with clinically elevated depressive symptoms and stress soon after their child's diagnosis may improve parents' diabetes self-efficacy and ultimately support the management of their child's diabetes.

Characterization of Post-Hypoglycemic Hyperglycemia in Children and Adolescents With Type 1 Diabetes: The EPHICA Study

BACKGROUND

In patients with diabetes, the dynamics in which hypoglycemia recovers impacts cardiovascular disease risk. Our study investigated the extents of "post-hypoglycemic hyperglycemia (PHH)" (i.e. hypoglycemia that recover to hyperglycemia in any circumstance) and factors likely to influence PHH characteristics in a pediatric cohort of patients with type 1 diabetes (T1D).

METHODS

We collected retrospective continuous glucose monitoring (CGM) data from 142 pediatric patients with T1D to characterize episodes of PHH during a two-month follow-up period. Factors influencing PHH were determined using univariate and multivariate analyses.

RESULTS

In our EPHICA cohort, PHH rate was 0.6 ± 0.3 episode/day and correlated (r=0.33; p<0.0001) with hyperglycemia rate (2.6 ± 0.5 episodes/day). The global proportion of hyperglycemia corresponding to PHH was 0.22 ± 0.1, yet 14.8% of patients had more than 1/3 of hyperglycemia related to PHH. Episodes of PHH lasted 239.6 ± 124.8 minutes with a hyperglycemic peak of 258.8 ± 47.1 mg/dL. Only 12.2% of PHH occurred at night. While a younger age (<12 years) and lower body mass index (BMI) (SDS: -2 to 1.6) were associated with higher daily PHH rates, teenagers (≥12 years) and obese patients experienced longer PHH and higher hyperglycemic peaks. Parameters of glycemic variability (i.e. HbA_1C, IDAA_1C and GTAA_1C) moderately correlated with PHH duration and related hyperglycemic peak. Multivariate analysis confirmed these results, as factors likely to influence PHH rate were phenotype (age and BMI) and glycemic variability parameters (time in range, mean glycemia, HbA_1C and GTAA_1C).

CONCLUSION

Our EPHICA study highlights the importance of PHH as a prominent component of hyperglycemia in some children and adolescents with T1D. Factors associated with PHH features are age, BMI and parameters of glycemic control. Young and lean children are more prone to experience hypoglycemia that recover with hyperglycemia, but adolescents and obese children tend to experience hyperglycemia of longer duration.