September 30, 2024
Congenital heart disease (CHD) is a common birth defect where the heart’s blood vessels don’t develop normally before birth. This condition affects about 9% of all births worldwide, meaning about one in eleven babies is born with CHD. A recent analysis found that children with CHD have three times the risk of developing ADHD compared to children without CHD. However, that study only included five smaller studies, and almost 90% of the results varied between studies, making the findings less reliable. To improve on this, a team of researchers conducted a new, more thorough analysis.
The updated analysis combined eleven studies, involving nearly 300,000 people. This larger study also confirmed that children with CHD are three times more likely to develop ADHD than those without CHD. Importantly, there was no evidence that the results were biased by only including studies that showed stronger results ("publication bias"). The variation between the studies (heterogeneity) was lower in this new analysis, down to a more manageable 60%.
The researchers looked at two types of studies: cohort studies and cross-sectional studies, and found different levels of risk:
While both types of studies suggest a strong link between CHD and ADHD, cohort studies are more reliable because they track children over time, which helps researchers establish that CHD occurred before ADHD, suggesting a stronger cause-and-effect relationship. Both types of studies are observational. In any observational study, researchers look at data without actively changing or controlling anything in the study environment. Because they aren't conducting controlled experiments, it's possible that some important factors, known as "confounding factors," aren't being measured or accounted for. These factors can influence both the exposure (what the study is investigating, like CHD) and the outcome (ADHD) in a way that creates an association that is apparent but not rea.
Nine of the studies, which included almost 300,000 participants, adjusted their findings to account for "confounding factors"—things like age, gender, or other health conditions that could also influence whether a child develops ADHD. Even after making these adjustments, the risk of ADHD in children with CHD was still three times higher.
The researchers also found that the way ADHD was diagnosed—whether through clinical assessments or standardized symptom checklists—didn’t change the results much. Additionally, there was no major difference between studies done in the U.S. and those conducted in other countries, or between higher- and lower-quality studies.
The research team concluded that children born with congenital heart disease are at a much higher risk of developing ADHD than children without CHD. They suggested that children with CHD should be monitored more closely for ADHD as they grow up to ensure early intervention if needed.
Jiapeng Tang, Jun Ou, Yige Chen, Liuxuan Li, Hanjun Liu, Mengting Sun, Manjun Luo, Taowei Zhong, Tingting Wang, Jianhui Wei, Qian Chen, and Jiabi Qin, “The risk of attention-deficit hyperactivity disorder among children with congenital heart disease: A systematic review and meta-analysis,” Child: Care, Health and Development (2024), vol. 50, issue 1, e13174, https://doi.org/10.1111/cch.13174.
Georges Choueiry, “Cohort vs Cross-Sectional Study: Similarities and Differences,” Quantifying Health, https://quantifyinghealth.com/cohort-vs-cross-sectional-study/.
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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