November 19, 2021
Danish health care is universal and free. That means there is very complete data available that covers the entire population. The health registers are linked to other national registers that provide access to socioeconomic information. That offers unusual opportunities to research correlations across an entire national population.
Moreover, the health care system requires a high standard for diagnosis of ADHD - evaluation by specialist doctors or psychiatrists rather than a general practitioner. An exception is when parents seek a diagnosis from a private practicing child psychiatrist, in which case diagnostic registration is not mandatory and data is therefore incomplete.
A trio of Danish researchers used the country' national registers to conduct a nationwide population cohort study to explore the cumulative effects of social disadvantages as risk factors for being diagnosed with ADHD.
They looked at all 632,725 children born in Denmark during the 1990s, of which 23,287 (3.7 percent) either had a registered diagnosis in the Patient Registry or else were undergoing ADHD treatment before age 18. Of these, 12,610 children had a registered ADHD diagnosis and entered medical treatment, 4,049 children had a registered diagnosis with no medical treatment, and 6,628 children entered medical treatment with no registered diagnosis. The latter were presumably diagnosed by private practicing psychiatrists. Adjustments were made for gender, immigrant status, birth characteristics (weight, gestational age), single-parenthood, parent ADHD diagnosis, and the number of children in the household.
The study determined that parental educational attainment had the largest effect on the risk of ADHD. Having parents who completed no more than the minimum compulsory education was associated with a 3.5 percentage point higher risk of getting an ADHD diagnosis. Completing no more than upper secondary education was associated with a 1.3 percent higher risk. But there was a sharp bifurcation in the two alternative components of upper secondary education. Children of parents who completed a vocational track faced a 1.7 percent increase in risk, whereas those whose parents completed a college preparatory track faced a negligible 0.17 percent increase.
Parental unemployment also had a significant effect. Youths whose parents were unemployed most of the year faced a 2.1 percent higher risk of ADHD, whereas those whose parents were unemployed less than half the year faced a 1.3 percent higher risk.
Relative income poverty had a comparable impact. Children of parents in the lowest income quintile faced a 2.3 percent higher risk of ADHD than those of parents in the uppermost income quintile. Those in the second-lowest quintile faced a 1.9 percent higher risk than those in the uppermost quintile; those in the middle quintile a 1.3 percent higher risk, and those in the second-highest quintile a 0.8 percent higher risk.
All three cases showed a dose-response relationship, in which higher gradations of social disadvantage were associated with higher levels of risk.
Since these social disadvantages often overlap, the researchers looked at combinations as well and found them to be roughly additive in effect. Parental unemployment plus relative income poverty was associated with a 1.9 percent higher risk of offspring ADHD. Parental unemployment plus completion of no more than compulsory education was associated with a 3.2 percent higher risk. Parental relative income poverty plus completion of no more than compulsory education produced a 4.2 percent higher risk. Finally, Parental relative income poverty plus completion of no more than compulsory education plus unemployment was associated with a 4.9 percent higher risk.
The authors concluded, "This study shows that specific and well-measured parental social disadvantages in terms of unemployment, relative income poverty, and low educational attainment independently affect the risk of ADHD."
Maria Kellow, Chunsen Wu, Carsten Obel, "Cumulative social disadvantage and risk of attention deficit hyperactivity disorder: Results from a nationwide cohort study," SSM - Population Health (2020) 10, 100548, https://doi.org/10.1016/j.ssmph.2020.100548.
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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