Prevalence of Mental, Behavioral, and Developmental Disorders Among Children and Adolescents with Diabetes, United States (2016-2019)

Unpacking Tourette Syndrome in Children: Insights into Prevalence and Comorbidities from NSCH Data

Background: Tourette syndrome is a neurodevelopmental disorder characterized by multiple motor and vocal tics. Although Tourette syndrome is known to have various comorbidities, comprehensive data on its prevalence and associated conditions in a large, diverse population are limited. This study aimed to examine the prevalence of Tourette syndrome and its comorbidities in children aged 3 to 17 years using data from the 2021 National Survey of Children's Health (NSCH). Methods: Data from 79,236 children aged 3-17 years were analyzed. The prevalence of Tourette syndrome was assessed, and its association with socio-demographic factors and comorbid conditions, including prematurity and low birth weight, was examined using univariate and multivariate logistic regression models. Results: The prevalence of Tourette syndrome was 0.3% among children aged 3-17 years, with higher rates in males (74%) and adolescents aged 11-17 years (74%). Prematurity and low birth weight were associated with higher rates of Tourette syndrome and its comorbidities. Neurodevelopmental conditions such as ADHD (49% in Tourette syndrome vs. 10.2% in non-Tourette syndrome), autism spectrum disorder (21% vs. 3.2%), and learning disabilities were significantly more prevalent among children with Tourette syndrome. Similarly, psychiatric disorders such as anxiety (60% vs. 11.3%) and depression (25% vs. 5%) were more common in the Tourette syndrome group. Immune-based conditions, including asthma and allergies, and physical health conditions such as diabetes and vision or hearing problems, were also significantly associated with TS. Conclusions: The study highlights the significant burden of comorbidities in children with Tourette syndrome, emphasizing the need for early diagnosis and comprehensive management strategies to address the multifaceted challenges faced by these children.

Diabetes Technology Use in Special Populations: A Narrative Review of Psychosocial Factors

As diabetes technologies continue to advance, their use is expanding beyond type 1 diabetes to include populations with type 2 diabetes, older adults, pregnant individuals, those with psychiatric conditions, and hospitalized patients. This review examines the psychosocial outcomes of these technologies across these diverse groups, with a focus on treatment satisfaction, quality of life, and self-management behaviors. Despite demonstrated benefits in glycemic outcomes, the adoption and sustained use of these technologies face unique challenges in each population. By highlighting existing research and identifying gaps, this review seeks to emphasize the need for targeted studies and tailored support strategies to understand and optimize psychosocial outcomes and well-being.

Comorbid depression and anxiety and their association with health care resource utilization among individuals with type 1 diabetes in the United States

BACKGROUND

Type 1 diabetes mellitus (T1DM) is a prevalent chronic endocrine disorder and accounts for 5%-10% of all diabetes cases worldwide. T1DM can have a substantial impact on health care utilization. Although it is well known that individuals with diabetes are at a greater risk of mental health disorders, specific evidence addressing the health care burden of comorbid depression/anxiety in people affected by T1DM is lacking.

OBJECTIVE

To assess health care resource utilization (HCRU) among adults with T1DM and comorbid depression or anxiety.

METHODS

We identified individuals aged 18 to 64 with a T1DM diagnosis from January 1, 2017, to December 31, 2021, using a 25% random sample of the IQVIA PharMetrics Plus for Academics database. The index date was the date of the first medical claim with a T1DM diagnosis. Eligibility required continuous medical and prescription coverage for 12 months before (baseline) and after (follow-up) the index date. Comorbid depression/anxiety and baseline characteristics were assessed during the baseline period. The following 2 mutually exclusive groups were created: individuals with T1DM and comorbid depression/anxiety, and those with only T1DM. To balance baseline demographic and clinical characteristics between the groups, we implemented 1:1 propensity-score matching. We assessed all-cause, diabetes-related, and major adverse cardiovascular event-related HCRU during the follow-up period. Logistic (binary) and negative binomial (count) regression models examined the association between comorbid depression/anxiety and HCRU across types of health care settings.

RESULTS

Out of 6,491 eligible individuals with T1DM, 1,168 (18%) had either depression or anxiety. In the matched cohort of 2,314 individuals, those with T1DM and comorbid depression/anxiety had significantly higher odds of all-cause emergency department visits (odds ratio = 1.67; 95% CI = 1.39-2.00) and higher rates of physician office visits (incidence rate ratio = 1.37; 95% CI = 1.27-1.47) and other outpatient encounters (incidence rate ratio = 1.23; 95% CI = 1.13-1.34) than those with only T1DM. Findings were similar for diabetes-related and major adverse cardiovascular event-related HCRU.

CONCLUSIONS

Comorbid depression/anxiety among individuals with T1DM results in significantly higher HCRU than T1DM alone. The findings underscore the importance of effective management of comorbid depression/anxiety in the T1DM population.

Relationship of weight-adjusted waist index and developmental disabilities in children 6 to 17 years of age: a cross-sectional study

Purpose

The development of multiple system diseases is increased by obesity. However, the connection between obesity and developmental disabilities (DDs) in children is unclear. As an obesity index, the weight-adjusted waist index (WWI) assessed fat distribution and muscle mass. In this study, we examined the correlation between WWI and DDs among children 6 to 17 years of age.

Methods

This study used data from the National Health and Nutrition Examination Survey database (NHANES) covering 2003 to 2018, which included the data of 17,899 participants between 6 and 17 years of age. Data regarding their waist circumference, weight, and DDs were collected via physical examinations and questionnaire, respectively. A person's WWI is calculated by dividing their waist circumference by their weight squared. The correlation between WWI and DDs was studied using weighted multiple logistic regression models. Additionally, a sensitivity analysis was conducted utilizing a generalized additive model and smooth curve fitting.

Results

After adjusting for all covariates, WWI was positively related to DDs in children ages 6-17. Based on the sensitivity analysis, the correlation between the WWI and prevalence of DDs remained consistent across subgroups. Additionally, there was a J-shaped correlation between the WWI and the prevalence of DDs in children ages 6 through 11.

Conclusion

Children 6-17 years of age with a high WWI were at greater risk for DDs; however, the causal relationships and potential mechanisms require further exploration.

Prevalence of diagnosed depression, anxiety, and ADHD among youth with type 1 or type 2 diabetes mellitus

We examined the prevalence of diagnosed depression, anxiety, and ADHD among youth by diabetes type, insurance type, and race/ethnicity. These mental disorders were more prevalent among youth with diabetes, particularly those with type 2 diabetes, with non-Hispanic White youth with Medicaid and diabetes having a higher prevalence than other races/ethnicities.