February 26, 2021

Evaluating Financial Decision-Making in Adults With ADHD

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.

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Meta-analysis Finds Little Evidence in Support of Game-based Digital Interventions for ADHD

ADHD treatment usually involves a combination of medication and behavioral therapy. However, medication can cause side effects, adherence problems, and resistance from patients or caregivers. 

Numerous systematic reviews and meta-analyses have evaluated the effects of non-pharmacological interventions on ADHD. With little research specifically examining game-based interventions for children and adolescents with ADHD or conducting meta-analyses to quantify their treatment effectiveness, a Korean study team performed a systematic search of the peer-reviewed medical literature to do just that.  

The Study: 

To be included, studies had to be randomized controlled trials (RCTs) that involved children and adolescents diagnosed with ADHD. The team excluded RCTs that included participants with psychiatric conditions other than ADHD.  

Eight studies met these standards. Four had a high risk of bias.  

Meta-analysis of four RCTs with a combined total of 481 participants reported no significant improvements in either working memory or inhibition from game-based digital interventions relative to controls. 

Likewise, meta-analysis of three RCTs encompassing 160 children and adolescents found no significant improvement in shifting tasks relative to controls. 

And meta-analysis of two RCTs combining 131 participants reported no significant gains in initiating, planning, organizing, and monitoring abilities, nor in emotional control

The only positive results were from two RCTs with only 90 total participants that indicated some improvement in visuospatial short-term memory and visuospatial working memory.  

There was no indication of effect size, because the team used mean differences instead of standardized mean differences.  

Conclusion:

The team concluded, “The meta-analysis revealed that game-based interventions significantly improved cognitive functions: (a) visuospatial short-term memory … and (b) visuospatial working memory … However, effects on behavioral aspects such as inhibition and monitoring … were not statistically significant, suggesting limited behavioral improvement following the interventions.” 

Simply put, the current evidence does not support the effectiveness of game-based interventions in improving behavioral symptoms of ADHD in children and adolescents. The only positive results were from two studies with a small combined sample size, which does not qualify as a genuine meta-analysis. All the other meta-analyses performed with larger sample sizes reported no benefits. 

Understanding Teen Health and Well-being in ADHD: A Fresh Perspective from the CDC

Recent research from the Centers for Disease Control and Prevention (CDC) highlights distinct health and social-emotional challenges faced by teens diagnosed with Attention-Deficit/Hyperactivity Disorder (ADHD). This study, published in the Journal of Developmental and Behavioral Pediatrics, offers critical insights directly from the teens themselves, providing a unique view often missed when relying solely on parent or clinical reports. 

Researchers analyzed nationally representative data from July 2021 through December 2022, comparing self-reported experiences of teens aged 12 to 17 with and without ADHD. Approximately 10% of teenagers had an ADHD diagnosis, and the findings reveal specific areas where teens with ADHD face notable difficulties. 

Teenagers with ADHD reported significantly higher rates of bullying victimization and struggles in making friends compared to their peers. Surprisingly, they were less likely to report a lack of peer support, suggesting complexities in how they perceive friendships and social networks. The study underscores the importance of directly engaging teens in assessing their social relationships, rather than solely relying on parental perspectives. 

Sleep difficulties emerged as another critical issue for teens with ADHD. About 80% reported problems like difficulty waking up and irregular wake times, markedly higher than their non-ADHD counterparts. Such disruptions can exacerbate attention difficulties and emotional regulation issues, further complicating daily life for these teens. 

Excessive screen time also stood out, with nearly two-thirds of teens with ADHD spending over four hours daily on screens, excluding schoolwork. This high screen usage is concerning, given its potential negative impact on physical and mental health, including sleep quality and social interactions. 

Notably, the study found no significant differences in physical activity levels or concerns about weight between teens with and without ADHD. This finding contrasts with previous studies that have highlighted lower physical activity among children with ADHD, suggesting the need for continued research on how physical activity is measured and encouraged in this population. 

The study’s authors emphasize the importance of health promotion interventions tailored specifically for teens with ADHD. By directly engaging teens and considering their unique perspectives, interventions can better address social-emotional well-being and healthy lifestyle behaviors, ultimately improving long-term outcomes for this vulnerable group. 

Overall, this research provides compelling evidence for healthcare providers, educators, and families to focus on supporting teens with ADHD in areas of social skills, sleep hygiene, and healthy screen time habits. Such targeted support can significantly enhance the quality of life and health outcomes for adolescents navigating the challenges of ADHD. 

Meta-analysis Reports No Significant Evidence for Efficacy of Neuromechanistic Treatments for Adult ADHD

The Background on ADHD Treatments, rTMS and tDCS:

Methylphenidate is known as the gold-standard treatment for ADHD, increasing dopamine concentrations and helping to focus. However, these psychostimulants may be less well-tolerated in adults. Adverse effects include decreased appetite, nausea, racing heartbeat, restlessness, nervousness, and insomnia. 

Neurofeedback is a non-pharmaceutical treatment that combines cognitive behavioral therapy techniques like conditioning and positive reinforcement with electroencephalography (EEG) feedback. Electrodes are placed on specific brain areas, guiding patients to regulate their brainwave activity. 

Repetitive transcranial magnetic stimulation (rTMS) uses electromagnetism to induce an electric field by passing a magnetic field through the scalp. Transcranial direct current stimulation (tDCS), on the other hand, directly applies an electric current through the scalp. Both repetitive transcranial magnetic stimulation (rTMS) and tDCS primarily target the outermost layers of neurons, as they are non-invasive methods. Nevertheless, both techniques are believed to affect deeper layers through interconnected neuronal networks.  

The Study:

A French research team conducted a systematic search of the peer-reviewed medical literature to perform a meta-analysis to explore the efficacy of these experimental treatment techniques. 

Eight studies – four using rTMS and another four using tDCS – met the inclusion criteria. Studies had to be randomized controlled trials (RCTs), and had to involve multiple sessions of treatment. Participants had to be adults previously diagnosed with ADHD.  

Outcomes were measured through self-rated scales, neuropsychological tests, and electrophysiological pre-post evaluations. 

Separate meta-analyses of the four tDCS RCTs combining 154 participants and of the four rTMS RCTs encompassing 149 participants likewise reported no significant improvements. In all cases variation in outcomes between studies was moderate, and there were no signs of publication bias. 

The Conclusion on Neuromechanistic Treatments for ADHD:

Meta-analysis of all eight studies with a combined total of 421 participants reported no significant improvements over controls. Narrowing down to studies that used sham controls likewise produced no significant improvements. So, despite the title of this study, these neuromechanistic treatments do not appear to be the future of treatment for adult ADHD.