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Few studies have examined the safety and tolerability of ADHD medications (stimulants and atomoxetine) extending beyond six months, and none beyond a few years. A pair of Swedish neuroscientists at Uppsala University Hospital set out to explore longer-term outcomes. They conducted a six-year prospective study of 112 adults diagnosed with ADHD who were being treated with ADHD medications (primarily MPH, but also dexamphetamine and atomoxetine).

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They found that at the end of that period, roughly half were still on medication, and half had discontinued treatment. There were no significant differences between the two groups in age, sex, ADHD severity, or comorbidity. The average ADHD score for the entire cohort declined to vary significantly, from a mean of 37 to a mean of 26, with less than one in a thousand odds of that being due to chance. There was also no sign of drug tolerance or a need to increase the dosage over time.
All 55 adults who discontinued treatment had taken MPH for at least part of the time. Eleven had also been treated with dexamphetamine(DEX) and 15 with atomoxetine (ATX). The average time on treatment was just under two years. Almost a third quit MPH because they perceived no beneficial effect. Since they were on average taking higher doses at discontinuation than initiation, that is unlikely to have been due to suboptimal dosage. Almost another third was discontinued for various adverse mental effects, including hyperactivity, elation, depressive moods, aggression, insomnia, fatigue, and lethargy. Another one in eleven quit when they lost contact with the prescribing physician. In the case of ATX, almost half quit because of what they perceived as adverse mental effects.

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Among the 57 adults who remained on medication, four out of five reported a strong beneficial effect. Only two reported minimal or no effect. Compared with the group that discontinued, the group that remained on medication was far more likely to agree with the statements, "My quality of life has improved," and "My level of functioning has improved." Yet, as the authors caution, it is possible "that the subjects' subjective ratings contained a placebo-related mechanism in those who are compliant with the medication and pursue treatment over time." The authors reported that there were no significant differences in ADHD scores or ADHD severity between the group that quit and the group that remained on medication, even though, on average, the group that quit had been off medication for four years at follow-up.

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We cannot explain why the patients who quit treatment showed similar levels of ADHD symptoms to those who continued treatment.  It is possible that some patients remit symptoms over time and do not require sustained treatment.  But we must keep in mind that there was a wide range of outcomes in both groups. Future work needs to find predictors of those who will do well after treatment withdrawal and those who do not.

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Any decision on whether to maintain a course of medication should always weigh expected gains against adverse side effects. Short of hard evidence of continuing efficacy beyond two years, adverse events gain in relative importance. With that in mind, it is worth noting that this study reports that among those who remained on MPH, many reported side effects. More than a quarter complained of decreased appetite, one in four of dry mouth, one in five of anxiousness and increased heart rate, one in six of decreased sexual desire, one in nine of depressed mood, and one in eleven of insomnia.

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This study breaks important ground in looking at the long-term effects of medication. It reaffirms findings elsewhere of the efficacy of ADHD medications. But contrary to the authors' conclusion, the data they present suggests the possibility that permanently medicating ADHD patients may not be more efficacious than discontinuation beyond a certain point, especially when balanced against adverse side effects.
But this is just one study with a relatively small sample size. This suggests a need for additional studies with larger sample sizes to pursue these questions with greater statistical reliability.

An international team of researchers sets out to measure the association between ADHD symptoms and self-evaluations of happiness among adults in the general population of the U.K. A nationally representative sample of 7,274 adults was asked to rate their happiness on a three-point scale. They also used the Adult ADHD Self-Report Scale (ASRS) Screener to assess ADHD symptom levels.
Higher ADHD symptom levels were found to be inversely associated with self-assessments of happiness. Adults with the lowest ADHD symptoms (0-9 on theaters) were roughly twice as likely to report being happy as those scoring10-13, five times as happy as those scoring 14-17, and ten times as happy as those with the highest ADHD symptom scores (18-24). These results were highly significant.
That did not mean that most adults with high ADHD symptom scores were unhappy. Even among those with the highest ADHD symptom scores (18-24), a majority (58 percent) reported being either "fairly happy" or "very happy." Butonly11 a percent of that group reported being "very happy," as opposed to 44 percent of those scoring the lowest on ADHD symptoms.
While the association is clear and strong, establishing causation is trickier. As the authors acknowledge, "as the symptoms associated with ADHD are similar to, and sometimes overlap, with those that are commonly observed in individuals with other psychiatric disorders ... a screening instrument to identify ADHD symptoms may have had limited power to distinguish 'pure' ADHD and cases with ADHD symptoms related to other psychiatric disorders." Emotional instability and anxiety disorder each mediated more than a third of the association between ADHD and unhappiness, and depression almost a third. These could have been brought about by ADHD and could also have been produced by other psychiatric disorders.  Because the ASRS is not a diagnostic instrument, the authors concluded that "the results of this study should be considered provisional, until if, and when, they are replicated in those with a clinical diagnosis of ADHD with and without comorbid disorders."

Our genes are very important for the development of mental disorders-including ADHD, where genetic factors capture up to 75% of the risk. Until now, the search for these genes had yet to deliver clear results.   In the 1990s, many of us were searching for genes that increased the risk for ADHD because we know from twin studies that ADHD had a robust genetic component.  Because I realized that solving this problem required many DNA samples from people with and without ADHD, I created the ADHD Molecular Genetics Network, funded by the US NIMH.  We later joined forces with the Psychiatric Genomics Consortium (PTC) and the Danish psych group, which had access to many samples.  
The result is a study of over 20,000 people with ADHD and 35,000 who do not suffer from it - finding twelve locations (loci) where people with a particular genetic variant have an increased risk of ADHD compared to those who do not have the variant.  The results of the study have just been published in the scientific journal Nature Genetics, https://www.nature.com/articles/s41588-018-0269-7.
These genetic discoveries provide new insights into the biology behind developing ADHD. For example, some genes have significance for how brain cells communicate with each other, while others are important for cognitive functions such as language and learning.
Our study used the genome-wide association study (GWAS)methodology because it allowed us to discover genetic loci anywhere on the genome.  The method assays DNA variants throughout the genome and determines which variants are more common among ADHDvs. control participants.  It also allowed for the discovery of loci having very small effects.  That feature was essential because prior work suggested that, except for very rare cases, ADHD risk loci would individually have small effects.
The main findings are:

A) we found 12 loci on the genome that we can be certain harbor DNA risk variants for ADHD.  None of these loci were traditional candidate genes' for ADHD, i.e., genes involved in regulating neurotransmission systems that are affected by ADHD medications.  Instead, these genes seem to be involved in the development of brain circuits.  
B) we found a significant polygenic etiology in our data, which means that there must be many loci(perhaps thousands) having variants that increase the risk for ADHD.  We will need to collect a much larger sample to find out which specific loci are involved;

We also compared the new results with those from a genetic study of continuous measures of ADHD symptoms in the general population. We found that the same genetic variants that give rise to an ADHD diagnosis also affect inattention and impulsivity in the general population.  This supports prior clinical research suggesting that, like hypertension and hypercholesteremia, ADHD is a continuous trait in the population.  These genetic data now show that the genetic susceptibility to ADHD is also a quantitative trait comprised of many, perhaps thousands, of DNA variants
The study also examined the genetic overlap with other disorders and traits in analyses that ask the questions: Do genetic risk variants for ADHD increase or decrease the likelihood a person will express other traits and disorders.   These analyses found a strong negative genetic correlation between ADHD and education. This tells us that many of the genetic variants which increase the risk for ADHD also make it more likely that a person will perform poorly in educational settings. The study also found a positive correlation between ADHD and obesity, increased BMI, and type-2 diabetes, which is to say that variants that increase the risk of ADHD also increase the risk of overweight and type-2 diabetes in the population. This work has laid the foundation for future work that will clarify how genetic risks combine with environmental risks to cause ADHD.  When the pieces of that puzzle come together, researchers will be able to improve the diagnosis and treatment of ADHD.

An Israeli team compared eating habits and body mass index(BMI) in adults with and without ADHD. They recruited 60 students from Hebrew University in Jerusalem between 20 and 30 years old. To avoid bias due to particular diets, the authors excluded vegetarians and vegans, as well as persons with chronic diseases that require altered diets, such as diabetes, inflammatory bowel diseases, and chronic kidney disease. Twenty-nine of the participants had been diagnosed with ADHD.
All participants filled out the Food Frequency Questionnaire, a semi-quantitative scale querying about 119 food items. Based on World Health Organization guidelines, it distinguished between "healthy" items (such as vegetables, fruits, whole grains, and minimally processed foods)and "unhealthy" ones (such as cookies, processed meats, and other processed foods). The data obtained from the questionnaires were linked to a nutrient database to estimate daily nutrient intake. BMI was calculated from heights and weights reported by the students.
No significant differences were found between the two groups for servings, calories, fats, carbohydrates, and proteins. Yet, the ratio of healthy to unhealthy portions was significantly higher among controls than among those with ADHD. Those without ADHD consumed about a quarter more servings of healthy food and about a quarter fewer servings of unhealthy food.
On average, BMI levels were about 13 percent higher in participants with ADHD than among those without, meaning they were significantly more likely to be overweight. This finding is consistent with many prior studies.
The authors concluded, "Although participants in both groups consumed similar amounts of servings, calories, and nutrients, students with ADHD reported eating lower amounts of healthy food and higher amounts of unhealthy food. The results suggest that ADHD is not associated with general overeating, but with a biased proportion of unhealthy versus healthy food consumption."
They also recognized limitations to their study. One was a relatively small sample size and the fact that all participants were recruited from a single university. Another is that they did not try to fully evaluate the effects of medication, other than to note the absence of significant differences in food choices between those who used medication regularly and those who used it only occasionally. An unrecognized limitation was the exclusive reliance on self-reporting, both for food consumption, weight, and height.
Despite these limitations, this study is an important first step toward understanding the eating habits of people with ADHD.  It suggests to me that those treating ADHD should promote healthy lifestyles, as that should reduce ADHD's known risks of obesity and adverse medical outcomes.

All Swedish residents have their health records tracked through unique personal identity numbers. That makes it possible to identify psychiatric and medical disorders with great accuracy across an entire population, in this case encompassing more than five and a half million adults aged 18 to 64. A subgroup of more than 1.6 million persons between the ages of 50 and 64 enabled a separate examination of disorders in older adults.
Slightly over one percent of the entire population (about 61,000) was diagnosed with ADHD at some point as an adult. Individuals with ADHD were nine times as likely to suffer from depression as were adults not diagnosed with ADHD. They were also more than nine times as likely to suffer from anxiety or a substance use disorder, and twenty times as likely to be diagnosed with bipolar disorder.  These findings are very consistent with reports from clinical samples in the USA and Europe.
Adults with ADHD also had elevated levels of metabolic disorders, being almost twice as likely to have high blood pressure, and more than twice as likely to have type 2 diabetes. Persons with ADHD but without psychiatric comorbidities were also almost twice as likely to have high blood pressure, and more than twice as likely to have type2 diabetes.
Similar patterns were found in men and women with ADHD, although comorbid depression, bipolar disorder, and anxiety were moderately more prevalent in females than in males, whereas substance use disorder, type 2 diabetes, and hypertension were more prevalent in males than in females.
ADHD was less than a third as prevalent in the over-50 population as in the general adult population. Nevertheless, individuals in this older group with ADHD were twelve times as likely to suffer from depression, anxiety, or substance use disorders, and more than 23 times as likely to be diagnosed with bipolar disorder as their non-ADHD peers. They were also 63% more likely to have high blood pressure, and 72% more likely to have type 2 diabetes.
The authors noted, "Although the mechanisms underlying these associations are not well understood, we know from both epidemiologic and molecular genetic studies that a shared genetic predisposition might account for the coexistence of two or more psychiatric conditions. In addition, individuals with ADHD may experience increased difficulties as the demands of life increase, which may contribute to the development of depression and anxiety." As for associations with hypertension and type 2 diabetes, these "might reflect health risk behaviors among adult patients with comorbid ADHD in addition to a shared biological substrate. As others have noted, inattention, disinhibition, and disorganization associated with ADHD could make it difficult for patients to adhere to treatment regimens for metabolic disorders." They concluded that "Clinicians should remain vigilant for a wide range of psychiatric and metabolic problems in ADHD affected adults of all ages and both sexes."

The CDC recently reported that ADHD medication use in women ages 15 to 44 increased from 0.9 percent to 4 percent from 2003 to 2015.  The most commonly used medications were formulations of amphetamine or methylphenidate.  

This increase in treatment for ADHD suggests that educational programs such as adhdinadults.com have been effective in teaching clinicians how to identify and treat the disorder.   The 4 percent rate reported by the CDC is encouraging because it is close to what Ron Kessler and colleagues reported as the prevalence of adult ADHD in the population.   CDC correctly points out that little is known about the effects of ADHD medications on pregnancies. Thus, caution is warranted.

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Oei et al.'s review of amphetamines concluded: "There is little evidence of amphetamine-induced neurotoxicity and long-term neurodevelopmental impact, as data is scarce and difficult to extricate from the influence of other factors associated with children living in households where one or more parent uses drugs in terms of poverty and neglect. ... We suggest that exposed children may be at risk of ongoing developmental and behavioral impediment, and recommend that efforts be made to improve early detection of perinatal exposure and to increase the provision of early intervention services for affected children and their families"

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Bolea-Alamanac et al.'s review of methylphenidate effects concluded: "There is a paucity of data regarding the use of methylphenidate in pregnancy and further studies are required. Although the default medical position is to interrupt any non-essential pharmacological treatment during pregnancy and lactation, in ADHD this may present a significant risk. Doctors need to evaluate each case carefully before interrupting treatment." These words of caution should be heeded by clinicians caring for women of reproductive age.

A team of U.S. endocrinologists recently published the results of a meta-analysis examining a possible association between bisphenol A(BPA) and childhood ADHD. BPA is used in a variety of consumer products, including plastic bottles for food and drink, epoxy resins used to line cans of food, dental sealants, and the thermal receipts issued by stores.
A review of the literature found 29 rodent studies, but only three with humans. The human studies were too different from each other to be suitable for meta-analysis. One found no association between prenatal exposure and ADHD. A second found prenatal BPA exposure to be associated with teacher-reported hyperactivity in 4-year-old boys, but not girls. The third found is to be associated with hyperactivity scores in 3-year-old girls.
As the authors note, "Often, there is little human data available, particularly in the environmental toxicology/health fields, due to the time and expense of conducting epidemiological studies and the ethical barriers for human-controlled trials that involve human exposure to potentially hazardous chemicals. Thus, it is important to have methods for using animal data to inform human health hazard conclusions; indeed, animal models are traditionally used to study human health."
Twelve of the mice and rat studies, with a total of 709 rodents, were suitable for meta-analysis.
Overall these pointed to a tiny SMD effect size of 0.09, but it was not significant, with the odds of such a result being obtained by chance being almost one in four (p = 0.237). But when results from the 356 males and353 females were looked at separately, a significant sex difference emerged. There was essentially no effect on female rodents, with an effect size of -0.07and a 95% confidence interval of -0.27 to 0.14, widely spanning the zero mark, rendering the result statistically non-significant. Among male rodents, however, there was a small but statistically significant effect size (0.24), with a 95%confidence interval from 0.04 to 0.45. The odds of obtaining this outcome by chance were only one in 50 (p = .02).
This result must be viewed with caution, as rodent physiology often differs substantially from that of humans. The authors, therefore, conclude, "early BPA exposure is associated with a presumed hazard of hyperactivity in humans. Our conclusion is based on 'moderate' levels of evidence for the human and 'high' levels of evidence for animal literature."

A Norwegian team based at the University of Bergen recently performed a population study using the country's detailed national health registries. With records from more than two and a half million Norwegians, the team examined what, if any, associations could be found between ADHD and nine autoimmune diseases: ankylosing spondylitis, Crohn's disease, iridocyclitis, multiple sclerosis, psoriasis, rheumatoid arthritis, systemic lupus erythematosus, type 1 diabetes, and ulcerative colitis.

After adjusting for age and maternal education, the team found no association between ADHD and five of the nine autoimmune disorders: type 1 diabetes, rheumatoid arthritis, iridocyclitis, systemic lupus erythematosus, and multiple sclerosis. In the case of ankylosing spondylitis, it found no association with males with ADHD, but a negative association with females. Females with ADHD were less likely to have ankylosing spondylitis. The adjusted odds ratio (AOR) was 0.56 (95% CI 0.32-0.96).

Positive associations were found for only three autoimmune diseases. The strongest was for psoriasis, with adjusted odds ratios of 1.6(95% CI 1.5-1.7) for females and 1.3 (95% CI 1.2-1.4) for males. When further adjusted for education, smoking, and body mass index (BMI), however, the adjusted odds ratio for females with ADHD dropped to 1.3 (95% CI 1.0-1.6).

The second-strongest association was with Crohn's disease. But here it was only among women. The odds ratio, in this case, was 1.4 (95% CI 1.2-1.8). Males with ADHD were less likely to have Crohn's disease, with an odds ratio of 0.71 (95% CI 0.54-0.92).

Finally, females with ADHD were slightly more likely to have ulcerative colitis, with a barely significant odds ratio of 1.3 (95% CI 1.1-1.5), while no such association was found for males with ADHD, whose odds ratio was a statistically non-significant 0.9.

Given the large sample size of over two and a half million, this is no underpowered study. It found no association between ADHD and the generic category of autoimmune disorders. Furthermore, it is a stretch to argue that there are any clear and clinically meaningful links between ADHD and any of the specific disorders that were analyzed in this study. The small and often opposite effect sizes may simply reflect limitations with the data (presumed autoimmune disorders were identified based on drugs prescribed), or other unidentified confounding factors.

Several meta-analyses have assessed this question by computing the standardized mean difference or SMD statistic.  The SMD is a measure that allows us to compare different studies. For context, the effect of stimulant medication for treating ADHD is about 0.9.  SMDs less than 0.3 are considered low, between 0.3 to 0.6 medium, and anything greater than high.
A 2004 meta-analysis by Schab and Trinh combined the results of fifteen studies with a total of 219 participants and found a small association(SMD = .28, 95% CI .08-.49) between consumption of artificial food colors by children and increased hyperactivity. Excluding the smallest and lowest quality studies further reduced the SMD to .21, and a lower confidence limit of .007 also made it barely statistically significant. Publication bias was indicated by an asymmetric funnel plot. No effort was made to correct the bias.
A 2012 meta-analysis by Nigg et al. combined twenty studies with a total of 794 participants and again found a small effect size (SMD =.18, 95% CI .08-.29). It likewise found evidence of publication bias. Correcting for the bias led to a tiny effect size at the outer margin of statistical significance (SMD = .12, 95% CI .01-.23). Restricting the pool to eleven high-quality studies with 619 participants led to a similarly tiny effect size that fell just outside the 95% confidence interval (SMD = .13, CI =0-.25, p = .053). The authors concluded, "Overall, a mixed conclusion must be drawn. Although the evidence is too weak to justify action recommendations absent a strong precautionary stance, it is too substantial to dismiss."
In 2013 a European ADHD Guidelines Group consisting of 21 researchers (Sonuga-Barke et al.) performed a meta-analysis of eight studies involving 294 participants that examined the efficacy of excluding artificial colors from the diets of children and adolescents as a treatment for ADHD. It found a small-to-medium effect size (SMD = .32, 95% CI .06-.58), with less than one in fifty probability that such a result would occur by chance. Yet "Restricting the probably blinded assessment analysis to the four no/low medication trials reduced the standardized mean difference (0.32) to non-significant levels (95%CI=-0.13, 0.77)."
On balance, the research to date suggests a small effect of artificial food colors in aggravating symptoms of hyperactivity in children, and a small beneficial effect of excluding these substances from the diets of children and adolescents, but the evidence is not very robust. More studies with greater numbers of participants, and better control for the effects of ADHD medications, will be required for a more definitive finding.
In the meantime, given that artificial food colors are not an essential part of the diet, parents should consider excluding them from their children's meals, since doing so is risk-free, and the cost (reading labels) negligible.

A study conducted at Auburn University in Alabama recruited 54 college students to address this question. All had previously been diagnosed with ADHD. All lived independently, and all were taking prescribed ADHD medication. Students with severe comorbid psychiatric conditions were excluded. Three students dropped out, leaving a final sample size of 51.
Each student completed a total of four half-hour assessments, scheduled at monthly intervals. At each first assessment, researchers counted the participant's ADHD medication pills and transferred them to an electronic monitoring bottle-a bottle with a microchip sensor in the cap that automatically tracks the date and time of every opening. This enabled them to compare students' subjective estimates at subsequent assessments with the objective evidence from pill counts and the data output from the electronic monitoring bottles.
Overall, students reported missing about one in four (25 percent) of their prescribed doses. But the objective measures showed they were skipping closer to half their doses. According to pill counts, they were missing 40 percent of their doses, and according to the electronic monitoring bottles, 43 percent. The odds of obtaining such a result due to chance with a sample of size were less than one in a hundred (p < 0.01).
In other words, college students with ADHD significantly overestimate their adherence rates to their medications. The authors concluded, "without additional strategies in place, expecting adolescents and young adults with ADHD to remember a daily task that requires no more than a few seconds to accomplish, such as medication taking, is unrealistic. They suggest using smartphone reminder applications ("apps") and text messaging services.
The authors caution that this was the first such study and that it had a small sample size. Moreover, the study was not randomized. Students responded to advertisements posted on campus, and thus self-selected.
Pending the outcome of larger studies with randomization, the authors suggest that wherever possible, prescribing physicians adopt objective measures of medication adherence, as an aid in ensuring greater efficacy of treatment.