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April 3, 2021
If you've ever wondered how experts make treatment recommendations for patients with ADHD, take a look at this ADHD treatment decision tree that my colleagues and I constructed for our "Primer" about ADHD,http://rdcu.be/gYyV.
Although a picture is worth a thousand words, keep in mind that this infographic only gives the bare bones of a complex process. That said, it is telling that one of the first questions an expert asks is if the patient has a comorbid condition that is more severe than ADHD. The general rule is to treat the more severe disorder first and after that condition has been stabilized plan a treatment approach for the other condition. Stimulants are typically the first-line treatment due to their greater efficacy compared with non-stimulants.
When considering any medication treatment for ADHD safety is the first concern, which is why medical contraindications to stimulants, such as cardiovascular issues or concerns about substance abuse, must be considered. For very young children (preschoolers) family behavior therapy is typically used before medication. Clinicians also must deal with personal preferences. Some parents and some adolescents and adults with ADHD simply don't want to take stimulant medications for the disorder. When that happens, clinicians should do their best to educate them about the costs and benefits of stimulant treatment.
If, as is the case for most patients, the doctor takes the stimulant arm of the decision tree, he or she must next decide if methylphenidate or amphetamine is more appropriate. Here there is very little guidance for doctors. Amphetamine compounds are a bit more effective, but can lead to greater side effects. Genetic studies suggest that a person's genetic background provides some information about who will respond well to methylphenidate, but we are not yet able to make very accurate predictions. After choosing the type of stimulant, the doctor must next consider what duration of action is appropriate for each patient.
There is no simple rule here; the choice will depend upon the specific needs of each patient. Many children benefit from longer-acting medications to get them through school, homework, and late afternoon/evening social activities. Likewise for adults. But many patients prefer shorter-acting medications, especially as these can be used to target specific times of day and can also lower the burden of side effects.
For patients taking down the non-stimulant arm of the decision tree, duration is not an issue but the patient and doctor must choose from among two classes of medications norepinephrine reuptake inhibitors or alpha-2-agonists. There are not a lot of good data to guide this decision but, again, genetics can be useful in some cases. Regardless of whether the first treatment is a stimulant or a non-stimulant, the patient's response must be closely monitored as there is no guarantee that the first choice of medication will work out well. In some cases, efficacy is low, or adverse events are high. Sometimes this can be fixed by changing the dose, and sometimes a trial of a new medication is indicated.
If you are a parent of a child with ADHD or an adult with ADHD, this trial-and-error approach can be frustrating. But don't lose hope. In the end, most ADHD patients find a dose and a medication that works for them. Last but not least, when medication leads to a partial response, even after adjusting doses and trying different medication types, doctors should consider referring the patient for a non-pharmacologic ADHD treatment.
You can read details about these in my other blogs, but here the main point is to find an evidence-based treatment. For children, the biggest evidence base is for behavioral family therapy. For adults, cognitive behavior therapy (CBT) is the best choice. Except for preschoolers, the experts I worked with on this infographic did not recommend these therapies before medication treatment. The reason is that the medications are much more effective, and many non-pharmacologic treatments (such as CBT) have no data indicating they work well in the absence of medication.
Faraone, S.V. et al. (2015) Attention-deficit/hyperactivity disorder Nat. Rev. Dis.Primers doi:10.1038/nrdp.2015.20. http://rdcu.be/gYyV
Background:
Non-suicidal self-injury (NSSI) means intentionally hurting yourself without trying to end your life. Common examples include cutting, scratching, or burning yourself. This behavior is most common in teenagers, affecting 13-20% of adolescents. It’s also called self-harm or deliberate self-injury.
Young people who struggle with managing emotions, act impulsively, or have mental health conditions like depression are more likely to self-harm.
Because ADHD involves impulsivity and often occurs alongside emotional difficulties, researchers have suspected a link between ADHD and self-injury. However, previous studies have tended to be small, unrepresentative, and inconsistent, making it hard to draw clear conclusions.
The Study:
Researchers combined results from 14 different studies involving nearly 30,000 people to get a clearer picture. They looked at children, teenagers, and adults with ADHD from various settings—including hospitals, community programs, and general population studies.
To be included, studies had to confirm ADHD diagnosis through professional evaluation or validated testing methods.
Key findings
Conclusion:
The researchers concluded that roughly one in four people with ADHD have engaged in non-suicidal self-harm. The findings suggest that ADHD and self-harm share overlapping vulnerabilities.
Overall, this meta-analysis strengthens evidence that people with ADHD face a significantly elevated risk of non-suicidal self-injury, likely reflecting overlapping challenges with impulsivity, emotional regulation, and co-occurring mental health conditions. Importantly, this does not mean self-harm is inevitable in ADHD. It does, however, highlight the need for early screening, supportive environments, and targeted mental-health care to help reduce risk and support healthier coping strategies.
Background:
While ADHD is generally linked to negative childhood outcomes, individual variability exists. Researchers have found that factors like cognition, emotion, parenting, and social interactions can help some adversity-exposed children develop better than expected. This variability has driven extensive resilience research, which now views resilience not as a single trait, but as a combination of biological, psychological, social, and ecological processes supporting adaptation.
The Study:
This meta-analysis sought to address several key research gaps. First, while many potential resilience factors have been identified, no previous meta-analysis has quantitatively synthesized evidence focused specifically on children with ADHD. Second, relatively little research has clarified how particular resilience factors relate to specific developmental outcomes. Third, there is currently no integrated conceptual model of resilience processes tailored to children and adolescents with ADHD.
To keep the analysis focused and clinically relevant, the authors examined psychosocial and ecological resilience factors only. Biological factors (such as genetics or cardiovascular health) and non-modifiable demographic characteristics (such as age and sex) were excluded, as they do not readily inform interventions. The analysis also focused strictly on outcomes for children and adolescents with ADHD, excluding adult outcomes and those reported for parents or teachers. Only studies based on clinical ADHD diagnoses were included.
In total, 28 studies involving more than 11,600 participants met the inclusion criteria. Fifteen studies were rated as high quality and 13 as fair quality; none were rated low quality. However, the evidence base was relatively thin for many analyses. Of the 50 components examined, only one included five studies, six included four studies, ten included three studies, and most (33) were based on just two studies. While some components involved large samples, most did not, meaning the findings should be viewed as suggestive rather than definitive.
Results:
Unsurprisingly, academic skills and cognitive functioning – specifically including working memory and intelligence – were strongly associated with better educational outcomes for children and adolescents with ADHD. In contrast, social skills and proactive attitudes or behaviors showed no significant link to educational attainment.
Well-being outcomes showed a different pattern. Proactive attitudes and behaviors, cognitive functioning, and parental resources were associated with small-to-moderate improvements in well-being. Emotional regulation and positive parenting or attachment, however, were not significantly related to well-being in this analysis.
For relationship outcomes, peer relationships – especially close friendships – stood out as particularly important, showing strong associations with better relational functioning. Social skills and positive parenting or attachment were linked to moderate improvements, although positive parenting alone had no significant effect. This suggests that the observed benefit likely stemmed from parental warmth and secure parent–child attachment rather than parenting practices in isolation. Parental resources (such as parental social support) and school-based support (including student–teacher relationships) showed no significant association with relationship outcomes.
The study also examined behavioral symptoms. Externalizing symptoms refer to outward-directed behaviors that affect others or the environment, such as aggression, defiance, impulsivity, hyperactivity, and rule-breaking. Peer relationships were linked to a modest reduction in these behaviors, while positive relationships with adults were associated with a strong reduction. In contrast, disciplinary parenting – particularly harsh punishment – was strongly associated with increased externalizing symptoms.
Internalizing symptoms involve inward-directed distress, such as anxiety, depression, withdrawal, excessive worry, and unexplained physical complaints. Here again, positive relationships with adults were important, showing a moderate association with fewer internalizing symptoms. Emotional regulation was also linked to small-to-moderate improvements.
Conclusion:
Overall, the findings highlight that resilience factors tend to be closely tied to specific outcomes rather than broadly protective across domains. For example, emotional regulation was associated with lower levels of both internalizing and externalizing symptoms but showed no significant link to well-being, educational achievement, or relationship quality. This suggests that emotional regulation may play a particularly important role in protecting mental health in children with ADHD, rather than driving broader developmental gains – consistent with evidence that emotional dysregulation is a core difficulty in ADHD.
Similarly, academic skills, social competence, and prosocial behaviors were linked mainly to their most closely related outcomes. Cognitive functioning was associated with both educational and well-being outcomes, but its impact was much stronger in education and more modest for well-being. Together, these context-specific patterns underscore the importance of designing interventions that target particular resilience factors with strategies tailored to specific developmental goals, rather than assuming that any single factor will promote resilience across all areas of life.
Key takeaway: resilience is individual and resilience isn’t one trait; different types of support help different individuals, in different areas.
Background:
Traditional measures of obesity, like body mass index (BMI) and waist circumference, have been linked to ADHD risk — but they aren’t great at capturing where fat is actually stored in the body. A newer index called relative fat mass (RFM), which combines height and waist circumference, does a better job of estimating overall body fat and predicting metabolic risks like heart disease and metabolic syndrome. Because those conditions share some underlying biological mechanisms with ADHD, researchers wondered whether RFM might also help explain the relationship between obesity and ADHD — particularly in children.
That question is complicated by the fact that ADHD doesn't look the same in boys and girls. Boys tend to display more hyperactive and impulsive behavior, making their ADHD easier to spot. Girls more often show inattention, which is quieter and frequently goes undiagnosed.
The Study:
A new study set out to test whether RFM is associated with ADHD in children, and whether that association differs between sexes. Using data from the National Health and Nutrition Examination Survey (NHANES) collected between 1999 and 2004, the researchers narrowed a large initial pool of over 31,000 participants down to 5,089 children and adolescents aged 6 to 14 who had complete data on height, waist circumference, ADHD screening, and other relevant variables.
After adjusting for age, race/ethnicity, Poverty-Income Ratio, maternal age at delivery, maternal smoking during pregnancy, health insurance coverage, and birth weight, the results revealed a striking split along sex lines.
In boys, higher RFM was associated with lower odds of ADHD. Compared to boys in the lowest fat-mass quartile, those in the second quartile had about 10% lower odds of ADHD, rising to over 30% lower in the third quartile and nearly 40% lower in the highest. In girls, the pattern reversed entirely. While girls in the second quartile showed similar odds to those with the lowest RFM, girls in the third and fourth quartiles had 60% to 70% greater odds of ADHD.
Conclusion & Why This Matters:
In recent years, the relationship between obesity and ADHD has become an increasingly important focus in pediatric neurodevelopmental research. Studies have reported higher rates of ADHD symptoms among children and adolescents with obesity compared with their non-obese peers, and difficulties with peer relationships have also been linked to increased obesity risk (Sönmez et al., 2019). From a neurobiological standpoint, both conditions may involve shared underlying mechanisms, particularly dysfunction in dopaminergic pathways.
The authors concluded that higher body fat levels appear to lower ADHD risk in boys while raising it in girls. This finding highlights why sex-specific analysis matters in ADHD research. The underlying biological reasons for this divergence, however, remain an open question and open the door for future research.
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