December 9, 2021
It is difficult enough for a typical child to manage type-1 diabetes. For a child that also has ADHD, with learning difficulties, attention and memory problems, and limitations in social communication, it can be all the more challenging to carry out the complex tasks necessary to maintain glycemic control (control of blood sugar levels) and avoid diabetic harm.
To explore the additional risk associated with ADHD among children with type-1 diabetes, an international research team used the Swedish national registers to conduct a nationwide population study. Sweden has a single-payer national health insurance system, and assigns unique personal identification numbers to all residents, making it easy to cross-reference through various population and health registers.
The team used the Swedish Diabetes Register to identify all individuals born in Sweden from 1973 onwards with childhood-onset type 1 diabetes diagnosed before age 18. They then restricted the cohort to those who had no diabetic complications at diagnosis and whose HbA1c values had been recorded within 5 years of diagnosis.
Also known as the glycated hemoglobin test, HbA1c is an indicator of the average blood sugar (glucose) level over the past three months. When glucose builds up in the blood, it binds to the hemoglobin in red blood cells. The HbA1ctest measures bound glucose. Since red blood cells live for about 3 months, the test shows the average blood glucose over that period.
The team also searched for records of diabetes-related kidney damage (nephropathy) and damage to the retina (retinopathy). Diabetic retinopathy is the leading cause of blindness among working-age adults.
The nationwide cohort consisted of 11,326 Swedish youths diagnosed with type-1 diabetes, of whom 415 (3.7%) were also diagnosed with ADHD.
Poor glycemic control, defined as mean HbA1c greater than 8.5%, was found in 38% of those with ADHD, twice the 19% found in those without neurodevelopmental disorders. After adjusting for confounders(sex, age at diabetes diagnosis, year of birth and year of diabetes diagnosis, another psychiatric morbidity, parental highest education level, parental psychiatric morbidity, smoking status, mean BMI [body mass index], and mean systolic and diastolic blood pressure), those with ADHD were 2.3 times as likely to have poor glycemic control.
Patients with ADHD were also almost twice as likely to suffer kidney damage, after adjusting for sex, age at diabetes diagnosis, year of birth, year of diabetes diagnosis, another psychiatric morbidity, parental highest education level, parental psychiatric morbidity, mean HbA1c levels, mean BMI, systolic and diastolic blood pressure, and smoking status.
After the same adjustments, patients with ADHD were found to be a third (33%) more likely to suffer retinal damage.
The team concluded, "childhood-onset type 1 diabetes patients with neurodevelopmental disorders, especially those with ADHD or intellectual disability, are more prone to poor glycemic control and a higher risk of chronic diabetic complications compared with those without neurodevelopmental disorders.
Further longitudinal studies with a more comprehensive evaluation of diabetes management and molecular data are needed to provide insight into potential mediators in the association between comorbid neurodevelopmental disorder and diabetes complications in type 1 diabetes."
Shengxin Liu, Ralf Kuja-Halkola, Henrik Larsson, PaulLichtenstein, Jonas F. Ludvigsson, Ann-Marie Svensson, Soffia Gudbjörnsdottir, Magnus Tideman, Eva Serlachius, and Agnieszka Butwicka, "NeurodevelopmentalDisorders, Glycemic Control, and Diabetic Complications in Type 1 Diabetes: a Nationwide Cohort Study," The Journal of Clinical Endocrinology &Metabolism(2021), Vol. 106, No. 11, e4459-e4470, published online,https://doi.org/10.1210/clinem/dgab467.
There has been consistent evidence of an association between ADHD and subjectively reported sleep problems even in patients not medicated for the disorder. There have also been studies using wrist-worn actigraphy (a wrist watch-like device that measures gross motor activity) and sleep lab-based polysomnography that measure objective sleep parameters.
What has been missing are large population-based cohort studies to explore the prevalence rates of different sleep disorders and medical prescriptions in ADHD.
Methods Used:
Sweden has a single-payer health insurance system and a series of national population registers that track virtually its entire population. Using the Swedish Total Population Register, a local research team created a cohort of all 6,470,658 persons born between 1945 and 2008. They linked this to the Swedish National Patient Register, which includes inpatient hospitalizations from 1975 to 2013, and outpatient specialist diagnoses from 2001 to 2013, to identify diagnoses of sleep disorders. They also linked to the Prescribed Drug Register, covering 2005 to 2013, to identify prescriptions for sleep medications.
Summary of Findings:
Overall, persons with ADHD were eight times more likely to be diagnosed with any sleep disorder relative to normally developing peers. Broken down by age, adolescents with ADHD were 16 times more likely to receive such diagnoses, young adults (18-30) twelve times more likely, children and mid-age adults (31-45) eight times more likely, and older adults six times more likely.
Broken down by specific sleep disorder diagnoses, relative to normally developing peers, persons with ADHD were:
As for sleep medication, relative to normally developing peers, persons with ADHD were:
Conclusion:
The team concluded, “Our findings also suggest that greater clinical attention should be directed towards addressing sleep problems in individuals with ADHD. This entails implementing proactive measures through sleep education programmes and providing both pharmacological and non-pharmacological approaches such as cognitive behavioural therapy and parental sleep training.”
Attention is a critical determinant of academic achievement, influencing domains such as language, literacy, and mathematics. To explore whether physical activity can improve attention in children with ADHD, an international team conducted a meta-analysis of peer-reviewed studies. The goal was to evaluate the impact of various physical activity regimens on attention-related outcomes in this population.
The researchers performed a comprehensive search of the medical literature to identify studies examining the effects of physical activity on attention in schoolchildren with ADHD. They included 10 studies with a total of 474 participants in their meta-analysis. The studies evaluated two main types of physical activity:
Additionally, they examined variations based on the frequency, duration, and type of control groups used in the studies. To assess consistency, they also analyzed heterogeneity (variability of outcomes) and checked for potential publication bias.
Key findings from the meta-analysis include:
The authors concluded that mentally engaging exercise is more effective than aerobic exercise in improving attention problems in schoolchildren with ADHD. Furthermore, higher frequency and longer duration of physical activity do not necessarily yield better outcomes.
This research underscores the importance of tailoring physical activity interventions to emphasize cognitive engagement over intensity or duration. By refining strategies, educators and parents can better support children with ADHD in achieving academic success. But take note: given the results from controlled studies, it seems clear that if there is a positive effect of exercise, it is very small so should not replace standard treatments for ADHD.
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Previous studies have examined how stimulant medications affect the brain in controlled settings, but less is known about their impact in real-world conditions, where children may not always take their medication consistently or may combine it with other treatments. A new study leverages data from the Adolescent Brain Cognitive Development (ABCD) study to explore how real-world stimulant use impacts brain connectivity and ADHD symptoms over two years.
Changes in Brain Connectivity Researchers used brain imaging data from the ABCD study to examine the functional connectivity—communication between brain areas—of six regions within the striatum, a brain area involved in motivation and movement control. They focused on how stimulant use influenced connectivity between the striatum and other networks involved in executive functioning and visual-motor control.
The study found that stimulant exposure was linked to reduced connectivity between key striatal areas (such as the caudate and putamen) and large brain networks, including the frontoparietal and visual networks. These changes were more pronounced in children taking stimulants compared to those who were not medicated, as well as compared to typically developing children. Importantly, this reduction in connectivity seemed to regulate certain brain networks that are typically altered in children with ADHD.
Symptom Improvement In addition to brain changes, 14% of children taking stimulants experienced a significant reduction in ADHD symptoms over the two-year period. These children showed the strongest connectivity reductions between the right putamen and the visual network, suggesting that stimulant-induced connectivity changes may contribute to improvements in visual attentional control, which is a common challenge for children with ADHD.
Why This Matters This study is one of the first to examine how stimulant use in real-world conditions affects brain networks in children with ADHD over time. The findings suggest that stimulants may help normalize certain connectivity patterns associated with ADHD, particularly in networks related to attention and control. These insights could help clinicians better understand the potential long-term effects of stimulant treatment and guide personalized approaches to ADHD management.
Conclusion Stimulant medications appear to alter striatal-cortical connectivity in children with ADHD, with some changes linked to symptom improvement. This research highlights the potential for stimulant medications to impact brain networks in ways that support attention and control, highlighting the importance of understanding how real-world medication use influences ADHD treatment outcomes.
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