October 30, 2023
Youths with ADHD are at higher risk of suicide, burn injuries, road injuries, and more generally all-cause mortality than normally developing children. Methylphenidate (MPH) is known to be effective in reducing ADHD symptoms. Can it also reduce the risk of all-cause mortality? A team of Taiwanese researchers, collaborating with two British researchers, explored that question by looking at a nationwide population cohort.
Taiwan has a single-payer national health insurance system that includes the entire population (99.6 percent coverage). Using the National Health Insurance Research Database (NHIRD), the team identified over 183,000 youths under 18 with an ADHD diagnosis. Of these, just over 68,000 had been prescribed to MPH. The team matched them with an equal number of ADHD youths who were not prescribed MPH. All records were anonymized and checked against the National Mortality Register.
All-cause mortality was split into two subcategories. Unnatural-cause mortality consisted of homicide, suicide, and motor vehicle fatalities. Natural-cause mortality encompassed all other premature deaths. In the raw data, ADHD youths on MPH had half the all-cause mortality of those not on MPH. Natural-cause mortality was down about 40 percent and unnatural-cause mortality was by almost two-thirds. In the non-MPH group, 32 committed suicide in the follow-up year, versus only a single individual in the MPH group. There were seven homicide victims in the non-MPH group, versus none at all in the MPH group.
These staggering reductions, however, were almost exclusively among males. The team then adjusted for potential confounding variables - gender, age, residence, insurance premium, out-patient visits, and pre-existing diagnoses. In the adjusted model, the risk for all-cause mortality was still reduced - by about 20 percent - for those on MPH and remained statistically significant. Virtually identical reductions were found for males and for children first diagnosed with ADHD between 4 and 7 years old. But all other risk estimates became statistically non-significant, due in large measure to the rarity of mortality events.
The authors concluded, "This is the first study reporting that a longer interval between first ADHD diagnosis and first prescription of MPH is associated with a higher risk of all-cause mortality. In addition, we also found that participants receiving longer-duration MPH treatment had a lower risk of all-cause mortality. ... an implication is that receiving a diagnosis earlier and receiving medication earlier may reduce the risk of later adverse consequences."
They nevertheless cautioned, "although we adjusted for multiple covariant, information lacking in the database precluded the measurement of other possible confounders, such as family history, psychosocial stressors, the effect of behavioral therapy or severity of comorbidities. Therefore, as with all observational data, it is not possible to be conclusive about whether the association with lower mortality is related to an effect of MPH treatment itself or whether other characteristics of the children receiving MPH may account for the lower risk (i.e. confounding by indication).
Finally, although the cohort sizes were large, the number of deaths was small, and this limited statistical power, particularly for the investigation of cause-specific mortality and of subgroup differences. Because of the relatively low number of deaths and limited follow-up duration, longer-term studies with larger samples are warranted ..."
Vincent Chin-HungChen, Hsiang-Lin Chan, Shu-I Wu, Mong-Liang Lu, Michael E. Dewey, Robert Stewart, and Charles Tzu-Chi Lee, "Methylphenidate and mortality in children with the attention-deficit hyperactivity disorder: a population-based cohort study," British Journal of psychiatry (2020), https://doi.org/10.1192/bjp.2020.129.
This study investigates how certain genetic disorders, called RASopathies, affect the structure of the brain in children. RASopathies are conditions caused by mutations in a specific signaling pathway in the body. Two common RASopathies are Noonan syndrome (NS) and neurofibromatosis type 1 (NF1), both of which are linked to a higher risk of autism spectrum disorder (ASD) and attention deficit and hyperactivity disorder (ADHD).
The researchers analyzed brain scans of children with RASopathies (91 participants) and compared them to typically developing children (74 participants). They focused on three aspects of brain structure: surface area (SA), cortical thickness (CT), and subcortical volumes.
The results showed that children with RASopathies had both similarities and differences in their brain structure compared to typically developing children. They had increased SA in certain areas of the brain, like the precentral gyrus, but decreased SA in other regions, such as the occipital regions. Additionally, they had thinner CT in the precentral gyrus. However, the effects on subcortical volumes varied between the two RASopathies: children with NS had decreased volumes in certain structures like the striatum and thalamus, while children with NF1 had increased volumes in areas like the hippocampus, amygdala, and thalamus.
Overall, this study highlights how RASopathies can impact the development of the brain in children. The shared effects on SA and CT suggest a common influence of RASopathies on brain development, which could be important for developing targeted treatments in the future.
In summary, understanding how these genetic disorders affect the brain's structure can help researchers and healthcare professionals develop better treatments for affected children.
In a recent study, researchers delved into the complex interplay of cognitive processes and eye movements in children with dyslexia and Attention-Deficit/Hyperactivity Disorder. Their findings shed light on predictive models for reading outcomes in these children compared to typical readers.
The study involved 59 children: 19 typical readers, 21 with ADHD, and 19 with developmental dyslexia (DD), all in the 4th grade and around 9 years old on average. Each group underwent thorough neuropsychological and linguistic assessments to understand their psycholinguistic profiles.
During the study, participants engaged in a silent reading task where the text underwent lexical manipulation. Researchers then analyzed eye movement data alongside cognitive factors like memory, attention, and visual processes.
Using multinomial logistic regression, the researchers evaluated predictive models based on three key measures: a linguistic model focusing on phonological awareness, rapid naming, and reading fluency; a cognitive neuropsychological model incorporating memory, attention, and visual processes; and an additive model combining lexical word properties with eye-tracking data, specifically examining word frequency and length effects.
By integrating eye movement data with cognitive factors, the researchers enhanced their ability to predict the development of dyslexia or ADHD, in comparison to typically developing readers. This approach significantly improved the accuracy of predicting reading outcomes in children with learning disabilities.
These findings have profound implications for understanding and addressing reading challenges in children. By considering both cognitive processes and eye movement patterns, educators and clinicians can develop more effective interventions tailored to the specific needs of children with dyslexia and ADHD.
The Study Setup
The researchers recruited children aged 6-12 years diagnosed with ASD and/or ADHD, along with their non-ASD/ADHD siblings and the unrelated non-ASD/ADHD volunteers. The diagnoses were confirmed using standardized assessments like the Autism Diagnostic Observation Schedule-2 (ADOS-2). The study looked at gut microbial diversity using advanced DNA extraction and sequencing techniques, comparing alpha-diversity indices (which reflect the variety and evenness of microbial species within each gut sample) across different groups. They also assessed dietary diversity through standardized questionnaires.
Key Findings
The study included 98 subjects, comprising children with ASD, ADHD, both ASD and ADHD, their non-ASD/ADHD siblings, and the unrelated controls. Here's what they discovered:
What Does This Mean?
The study highlights intriguing connections between gut microbiota and neurodevelopmental disorders like ASD and ADHD. The lower gut microbial diversity observed in children with ASD points towards potential links between gut health and the pathophysiology of ASD. Understanding these connections is crucial for developing targeted therapeutic interventions.
Implications and Future Directions
This research underscores the importance of considering gut microbiota in the context of neurodevelopmental disorders. Moving forward, future studies should account for factors like co-occurrence of ASD and ADHD, as well as carefully control for dietary influences. This will help unravel the complex interplay between gut microbiota, diet, and neurodevelopmental disorders, paving the way for innovative treatments and interventions.
In summary, studies like this shed light on the intricate relationship between our gut health, diet, and brain function. By unraveling these connections, researchers are opening new avenues for understanding and potentially treating conditions like ASD and ADHD.
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