February 26, 2021
A Dutch and German team compared the performance of 45 adults with ADHD and 51 normally developing controls on a battery of standardized tests and questionnaires designed to assess competence in financial decision-making (FDM). These were supplemented with neuropsychological tests, as well as evaluations of each participant’s personal financial situation.
The two groups had roughly comparable demographic characteristics. There were no significant differences in age, gender balance, years of education, or work status. Students were excluded from both groups because they tend to be financially dependent and to have little or no income.
The ADHD group scored more than three times higher on self-report questionnaires for both the retrospective assessment of childhood symptoms ( Wender Utah Rating Scale—Childhood) and for evaluating current symptoms of ADHD (ADHD self-report scale). Researchers did not perform clinical evaluations of ADHD.
To determine their personal financial situation, participants were asked about their income range as well as, “Do you have debts other than mortgage or study loans?”;“Do you receive social security?”; “Do you have a savings account?”;“Do you save actively, that is, do you put money in your savings account on a regular basis?”; “Do you save for retirement?”; and “Do you own a house?” They were also asked how much they set aside in monthly savings, and, where applicable, how much they receive in social security.
On five out of nine criteria, significant differences emerged between the two groups. Whereas healthy controls had median incomes in the range of €35,000 to €45,000, for those with ADHD it was dramatically lower, between €15,000 and €25,000. Healthy controls also had twice as much disposable income. Whereas almost half of adults with ADHD reported debts other than mortgage or educational loans, only a third as many healthy adults had such debt. And whereas only slightly over half of those with ADHD reported having savings accounts, among healthy adults it was more than six out of seven. Finally, healthy controls were four times as likely to own a home.
Participants were then given standardized tests to evaluate financial competence, financial decision-making capacity, financial decision styles, the ability to make financial decisions using decision rules, the capacity to make decisions with implications for the future, impulsive buying tendencies, and a gambling task as a measure of emotional decision-making.
Adults with ADHD scored significantly lower than healthy adults on the financial competence test, and in particular, on financial abilities, financial judgment, financial management, and financial support resources. Similar outcomes emerged from the financial decision-making capacity test, especially when it came to identifying and understanding relevant information. Adults with ADHD were also significantly more likely to use avoidant and spontaneous decision styles. They also showed significantly more temporal discounting, meaning they tended to prefer immediate gratification over long-term financial security. That translated into significantly higher propensities to buy on impulse. In all cases these differences had large effect sizes.
Finally, participants were tested on nine cognitive functions: information processing speed, vigilance and selective attention, inhibition, interference, figural fluency, cognitive flexibility, task switching, verbal working memory, and numeracy.
Those with ADHD performed significantly worse, with medium effect sizes, on three cognitive measures: vigilance, interference, and numeracy. There were no significant differences on the other six measures.
The authors concluded, “The results show that the personal financial situation of adults with ADHD was less optimal than the financial situation of healthy controls. Furthermore, adults with ADHD showed significantly decreased performances compared with healthy controls in five out of seven tasks measuring FDM and on measures of vigilance, interference, and numeracy. However, mediation analyses indicated that differences in cognitive functioning cannot fully explain the differences with regard to FDM between adults with ADHD and healthy controls.”
They also pointed to limitations of the study. One is that 19 of the 45 adults with ADHD had comorbid disorders, of which three were substance dependencies. However, removing them had little effect on the outcome. Another limitation was that adults with ADHD were off medication during the testing, so it is unclear how stimulants would affect the test outcomes. The authors state, “The influence of treatment use should, therefore, be explored in future research on FDM and adults with ADHD.”
Dorien F. Bangma, et al., “Financial Decision-Making in Adults With ADHD,” Neuropsychology (2019), http://dx.doi.org/10.1037/neu0000571.
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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