A large international research team has just released a detailed analysis of studies looking at the connection between parents' mental health conditions and their children's mental health, particularly focusing on ADHD (Attention Deficit Hyperactivity Disorder). This analysis, called a meta-analysis, involved carefully examining previous studies on the subject. By September 2022, they had found 211 studies, involving more than 23 million people, that could be combined for their analysis.
Most of the studies focused on mental disorders other than ADHD. However, when they specifically looked at ADHD, they found five studies with over 6.7 million participants. These studies showed that children of parents with ADHD were more than eight times as likely to have ADHD compared to children whose parents did not have ADHD. The likelihood of this result happening by chance was extremely low, meaning the connection between parental ADHD and child ADHD is strong.
The researchers wanted to figure out how common ADHD is among children of parents both with and without ADHD. To do this, they first analyzed 65 studies with about 2.9 million participants, focusing on children whose parents did not have ADHD. They found that around 3% of these children had ADHD.
Next, they analyzed five studies with over 44,000 cases where the parents did have ADHD. In this group, they found that 32% of the children also had ADHD, meaning about one in three. This is a significant difference—children of parents with ADHD are about ten times more likely to have the condition than children whose parents who do not have ADHD.
The researchers also wanted to see if other mental health issues in parents, besides ADHD, were linked to ADHD in their children. They analyzed four studies involving 1.5 million participants and found that if a parent had any mental health disorder (like anxiety, depression, or substance use issues), the child’s chances of having ADHD increased by 80%. However, this is far less than the 840% increase seen in children whose parents specifically had ADHD. In other words, ADHD is much more likely to be passed down in families compared to other mental disorders.
The study had a lot of strengths, mainly due to the large number of participants involved, which helps make the findings more reliable. However, there were also some limitations:
Despite these limitations, the research team concluded that their analysis provides strong evidence that children of parents with ADHD or other serious mental health disorders are at a higher risk of developing mental disorders themselves. While more research is needed to fill in the gaps, the findings suggest that it would be wise to carefully monitor the mental health of children whose parents have these conditions to provide support and early intervention if needed
According to Dexing Zhang et al., writing in the British Medical Bulletin, "Mindfulness is a moment-by-moment awareness of thoughts, feelings, bodily sensations, and surrounding environment. ... These practices can be formal (e.g. breathing, sitting, walking, body scan) or informal (e.g. mindfulness in everyday life).... Mindfulness is rooted in Buddhist traditions. However, it has become popular in recent years among various secular populations in healthcare, educational, and workplace settings: from pre-schoolchildren to older adults across the world." The two most widely adopted mindfulness-based interventions (MBIs) are mindfulness-based stress reduction and mindfulness-based cognitive therapy (Zhang, 2021).
An Italian research team recently conducted a comprehensive search of the peer-reviewed literature to identify studies exploring the efficacy of mindfulness-based treatments for ADHD. It found 31 studies that qualified for review, ten of which met the criteria for meta-analysis, with a total of 596 participants.
A meta-analysis of seven studies with a combined total of 489 participants found MBIs reduced ADHD symptoms with medium effect size and no sign of publication bias. When split into subgroups with and without active controls - in this case, psychoeducation and skills training groups -the outcomes diverged. In the three studies with non-active controls (187 participants), there was a large reduction in ADHD symptoms. In the four with active controls (302 participants), there was no significant difference.
A meta-analysis of ten studies with 596 participants found MBIs reduced inattention symptoms, with a medium-sized effect. Pooling the five studies without active controls (261 participants) produced a very large reduction in inattention symptoms. Once again, in the five studies with active controls (335 participants), there was no significant difference.
After adjusting for publication bias, a third meta-analysis of nine studies with 563 participants found no significant effect of MBIs hyperactivity symptoms. However, when limited to the five studies with-active controls (261 participants), it found a large reduction in hyperactivity symptoms.
After adjusting for publication bias, the fourth meta-analysis of four studies with a combined 243 participants found no significant improvement in executive function.
After adjusting for publication bias, a fifth meta-analysis combining six studies with 449 participants reported a moderate improvement in mindfulness skills. There was no significant improvement when looking only at the three studies with active controls (262 participants).
The team concluded that MBIs seemed to be effective in treating ADHD, but no more so than psychoeducation and skills training groups.
Yet they cautioned that the use of a waiting list for non-active controls muddies that conclusion: "It could be suggested that any intervention seems to have a significantly higher effect than WL [waiting list]in improving ADHD symptoms." This is a known hazard of using waiting lists as control groups (Cunningham, 2013).
Noting "the low general methodological quality," they stated, "From a clinical standpoint, according to the poor available evidence, we cannot conclude that MBIs are superior to other active [psychological] interventions in ameliorating all the considered outcomes, suggesting a role complementation and not as a replacement of the psychoeducation in the management of patients with ADHD, consistently with some guidelines' recommendations."
A French team of physicians conducted a systematic search of peer-reviewed literature to conduct a meta-analysis to examine the relationship between childhood ADHD and subsequent psychotic disorders.
What relationship, if any, might there be between childhood ADHD and subsequent psychotic disorders? Previous epidemiological studies have produced conflicting results.
A French team of physicians conducted a systematic search of the peer-reviewed literature to conduct a meta-analysis to examine this question in greater depth.
They pooled twelve studies with a combined total of 1.85 million participants, consisting of 124,095 with ADHD and just over 1.72 million controls.
The psychotic disorders analyzed included schizophrenia, schizophreniform disorder, schizotypal personality disorder, schizoaffective disorder, delusional disorder, brief psychotic disorder, and psychotic disorder not otherwise specified. These disorders had to be diagnosed after the diagnosis of ADHD in children and adolescents under 18 years old.
The meta-analysis found that persons diagnosed in childhood or adolescence with ADHD were well over four times more likely to have subsequent diagnoses of psychotic disorders than those without a diagnosis of ADHD. Limiting the meta-analysis to the six studies that were adjusted for confounders produced an identical result.
There were no statistically significant between-group differences for subgroup analyses comparing psychotic disorder or schizophrenia outcomes, cohort or case-control study design, and adjusted or unadjusted estimates. There were no significant differences between males and females.
Heterogeneity among studies was moderate (43%), and there was no sign of publication bias. Removing one study reduced heterogeneity to low levels (18%), while very slightly raising the odds of subsequent diagnosis of psychotic disorder. Looking only at the more restrictive diagnosis of schizophrenia also made no difference in the odds.
No matter how the data were analyzed, in all instances, the odds of subsequent diagnosis of psychotic disorder rose well over fourfold for those diagnosed with ADHD in their youth.
The authors concluded, "To improve our knowledge, further cohort studies should be conducted. Ideally, these studies would ensure a sufficiently long follow-up to account for the mean age at which P [psychotic disorders] develop. Such studies should consider the use of psychostimulants and the role of SUD [substance use disorder] in the causal path between ADHD and PD."
A team of Stanford researchers examined data from the Nationwide Emergency Department Sample to determine just how strong the association between injury from unintentional falls and ADHD is.
In the five years from 2006 through 2010, the child falls led to 11,535 head injuries in the United States, costing a billion dollars to treat. Previous studies have shown that persons with ADHD were more prone to accidental falls than normally developing individuals. Just how strong is that association among American youth?
A team of Stanford University researchers examined data for falls among youths under 18 years old from the Nationwide Emergency Department Sample (NEDS), covering 953 hospitals in 36 states between 2010 and 2015. These included falls from stairs, ladders, or scaffolding; falls from buildings or other structures; falls into holes; other falls from one level to another; falls on the same level from collisions, pushing, shoving, slipping, tripping, or stumbling.
Out of almost 49 million injuries involving youths recorded by hospital emergency departments in the NEDS from 2010 to 2015, there were 13,217,237 million falls, 139,642 of which involved youths 5-17 years old with ADHD only. These were compared with almost 7.8 million involving youths 5-17 years old with developmental disabilities.
The team adjusted for the following covariates to reduce confounding: age category, sex, income, payment source, developmental disability status, and mechanism of fall.
Youths with ADHD were found to be roughly 75% more likely than normally developing youths to be admitted for unintentional falls in hospital emergency departments. They were about 60% more likely to be admitted for hospital stays exceeding two days. They were almost twice as likely to require surgery. And they were four times as likely to require intubation through the mouth and into the airway to be placed on a ventilator to assist with breathing.
These outcomes are not surprising, given that a large proportion of youths with ADHD are prone to be more inattentive and/or impulsive on average than their normally developing peers. But they underscore the need for parents and physicians to take preventive action to reduce the chance of harm.
The authors "suggest that practitioners who provide care for children with ADHD spend extra time on educating parents regarding the increased risk of falls, especially among older children, to decrease the odds of worse outcomes from unintentional falls."
Older adults are at greater risk for cardiovascular disease. Psychostimulants may contribute to that risk through side effects, such as elevation of systolic blood pressure, diastolic blood pressure, and heart rate.
On the other hand, smoking, substance abuse, obesity, and chronic sleep loss - all of which are associated with ADHD - are known to increase cardiovascular risk, and stimulant medications are an effective treatment for ADHD.
So how does this all shake out? A Dutch team of researchers sets out to explore this. Using electronic health records, they compared all 139 patients 55 years and older at PsyQ outpatient clinic, Program Adult ADHD, in The Hague. Because a principal aim of the study was to evaluate the effect of medication on cardiovascular functioning after first medication use, the 26 patients who had previously been prescribed ADHD medication were excluded from the study, leaving a sample size of 113.
The ages of participants ranged from 55 from 79, with a mean of 61. Slightly over half were women. At the outset, 13 percent had elevated systolic and/or diastolic blood pressure, 2 percent had an irregular heart rate, 15 percent had an abnormal electrocardiogram, and 29 percent had some combination of these (a "cardiovascular risk profile"), and 21 percent used antihypertensive medication.
Three out of four participants had at least e comorbid disorder. The most common are sleep disorders, affecting a quarter of participants, and unipolar mood disorders (depressive or more rarely manic episodes, but not both), also affecting a quarter of participants.
Twenty-four patients did not initiate pharmacological treatment. Of the 89 who received ADHD medication, 58 (65%) reported positive effects, and five experienced no effect. Thirty-eight (43%) discontinued ADHD medication while at the clinic due to lack of effect or to side effects. The most commonly reported positive effects were enhanced concentration, more overview, less restlessness, more stable mood, and having more energy. The principal reasons for discontinuing medication were anxiety/depression, cardiovascular complaints, and lack of effect.
Methylphenidate raised heart rate and lowered weight, but had no significant effect on systolic and diastolic blood pressure. Moreover, there was no significant correlation between methylphenidate dosage and any of these variables, nor between methylphenidate users taking hypertensive medication and those not taking such medication. There was no significant difference in systolic or diastolic blood pressure and heart rate before and after the use of methylphenidate among patients with the cardiovascular risk profiles.
Systolic blood pressure rose in ten out of 64 patients, with two experiencing an increase of at least 20 mmHg. It descended in five patients, with three having a decrease of at least 20 mmHg. Diastolic blood pressure rose by at least 10 mmHg in four patients, while dropping at least 10 mmHg in five others.
The authors concluded "that the use of a low dose of ADHD-medication is well tolerated and does not cause clinically significant cardiovascular changes among older adults with ADHD, even among those with an increased cardiovascular risk profile. Furthermore, our older patients experienced significant and clinically relevant improvement of their ADHD symptoms using stimulants, comparable with what is found among the younger age group," and that "the use of methylphenidate may be a relatively safe and effective treatment for older adults with ADHD, under the condition that all somatic complaints and especially cardiovascular parameters are monitored before and during pharmacological treatment."
Yet they cautioned that "due to the observational nature of the study and the lack of a control group, no firm conclusions can be drawn as to the effectiveness of the stimulants used. ... Important factors that were not systematically reported were the presence of other risk factors, such as smoking, substance (ab)use, aspirin use, and level of physical activity. In addition, the response to medication was not systematically measured"
Meta-analysis shows clear correlation between maternal PCOS and offspring ADHD.
Polycystic ovary syndrome (PCOS) is a disorder affecting women of reproductive age, characterized by elevated levels of male hormones (androgens). The name is derived from the presence of cysts surrounding the ovum, which cause enlargement of the ovaries. Its cause remains unknown. There is speculation that high androgen levels could affect brain development in the fetus.
A team of Iranian researchers (Maleki et al.) published a twofold meta-analysis earlier this year exploring the relationship between PCOS and offspring ADHD. A systematic search of the peer-reviewed medical literature came up with six studies, consisting of three cohort studies, and three case-control studies.
A meta-analysis of the three case-control studies with a combined total of 79,978 participants found that children of mothers with PCOS were 42 percent more likely to develop ADHD.
A separate meta-analysis of the three cohort studies with a combined total of 325,435 participants produced essentially identical outcomes: children of mothers with PCOS were 43 percent more likely to develop ADHD.
There was no indication of publication bias in either meta-analysis and virtually no heterogeneity. Except for one case-control study, all studies were considered to be of high quality.
The authors concluded, "Our study showed that maternal PCOS is a risk factor for ADHD. Therefore, Screening for ADHD among children of these women should be considered as part of the comprehensive clinical care for women with PCOS."
More recently, a second-team (Dubey et al.), based in Texas, published a meta-analysis on the same subject. Their systematic search produced the same studies, but classified one study described as case-control by Malekiet al. as a cohort study.
Their meta-analysis of four cohort studies with a combined total of over two million participants (they counted participants differently than Maleki et al.) found that children of mothers with PCOS were 43 percent more likely to develop ADHD. Adjusting for confounders made no difference.
Again, there was no indication of publication bias, and between-study heterogeneity was virtually nil.
Considering they relied on the same studies, the fact that both teams reported identical outcomes is unsurprising, confirming there's a clear association between maternal PCOS and ADHD in offspring.
A systematic review of previous studies show clear correlation between neurodevelopmental conditions and sleep-related issues.
A team of Spanish researchers performed a systematic search of the medical literature and found 28 studies that could be included in a series of meta-analyses of specific measures of sleep impairment. Except for a single meta-analysis with eight studies and 1,713 participants, however, all involved just three to five studies apiece, with anywhere from 121 to just over a thousand participants.
The team examined three sorts of measures:
· Subjective measures, based on self-reporting by ADHD patients.
· Polysomnography is an objective sleep study in which the subject is wired up and studied by technicians in a lab, usually overnight, monitoring multiple body functions, such as brain activity, eye movements, muscle activation, and heart rhythm.
· Actigraphy, a non-invasive objective means of monitoring sleep. The subject wears an actimetry monitor, which is usually worn like a wristwatch on the non-dominant arm. Because it is minimally intrusive, the subject may wear it for a week or more while engaging in normal activities.
In the subjective measures, adults with ADHD generally reported substantially higher sleep impairments than non-ADHD controls. In the largest meta-analysis, covering eight studies and 1,713 participants, adults with ADHD reported moderately longer latency times for falling asleep than controls. In meta-analyses of five studies with between 834 and 1,130 participants, they also reported moderately poorer sleep quality, more frequent night awakenings, being moderately less rested upon awakening in the morning, and moderate-to-strongly greater daytime sleepiness. There was no significant difference in perceived sleep duration.
Polysomnography measures, on the other hand, failed to confirm these subjective impressions. No significant differences were found between adults with ADHD and controls for the initial latency period until onset of sleep, sleep efficiency, waking after the onset of sleep, total sleep time, stage one or stage two sleep, slow-wave sleep, REM (rapid eye movement) sleep, and latency period until REM sleep.
As mentioned above, polysomnography is conducted in lab settings, and therefore inevitably diverges from normal patterns of behavior. Actigraphy helps bridge that gap, by monitoring normal behavior, though with more limited types and precision of data analysis.
And indeed, a meta-analysis of four studies with 222 participants confirmed self-reports that sleep efficiency was moderate to strongly lower in adults with ADHD and that the latency period until the onset of sleep was markedly longer. On the other hand, it found no significant difference in true sleep.
The researchers also looked at prevalence statistics. Whereas the prevalence of sleep-onset insomnia in the general population has been reported in the range of 13 to 15 percent, a meta-analysis of four studies with 466 participants found fully two-thirds of adults with ADHD reporting insomnia, a greater than four-to-one ratio. Similarly, a meta-analysis of three studies with 458 participants found one-third reporting daytime sleepiness, which is twice the rate reported in the general population.
There was no sign of publication bias in any of these results. The authors cautioned, however, about the small number of studies involved, stating this "compromises the generalizability of the findings." Also, some studies included patients undergoing pharmacological treatment for ADHD, "increasing the risk of confounding results."
Moreover, "Sleep onset latency and sleep efficiency were not significantly impaired in the polysomnography, which was incongruent with the actigraphy results. This may be due to a difference in the evaluation context. Whereas polysomnography is considered the gold-standard measure to objectively assess sleep architecture, actigraphy shows a more ecological approach, with the evaluation being conducted in a more naturalistic context for a longer period. However, actigraphy has more environmental influence, which can compromise the data recorded and the interpretation of the results, whereas, in polysomnography, multiple variables can be controlled in the laboratory setting to increase the internal validity of the results. On the contrary, polysomnography studies can produce artifacts due to the unusual circumstances in the setting, so results may need to be interpreted with caution."
The authors concluded, "The results found in the present study show the relevance of addressing sleep concerns in adult populations diagnosed with neurodevelopmental conditions."
Meta-analysis show neurofeedback treatments resulted in no noticeable improvements in the working memory, response inhibition, or sustained attention of youth with ADHD.
Neurofeedback, also known as electroencephalogram (EEG) biofeedback, aims to help persons with ADHD train themselves to self-regulate patterns of brain activity associated with the disorder.
An example is theta-beta ratio frequency (TBR) training. Beta waves, with a frequency of 18 to 25 Hz, are associated with electrical activity when the brain is conscious or alert. Theta waves, with a frequency of 4 to 7 Hz, are associated with meditative, daydreaming, or drowsy states. In youths with ADHD, the theta to beta ratio tends to be elevated. TBR training seeks to reduce it.
Neurofeedback is often described as a promising emerging alternative or complement to pharmaceutical treatment. Previous meta-analyses have found neurofeedback can reduce symptoms of ADHD.
But what effect does it have on executive functions? A Thai research team based at Chiang Mai University conducted a comprehensive search of the peer-reviewed journal literature and identified ten studies with results suitable for meta-analysis.
A meta-analysis of all ten studies with a combined total, of 378 participants found no improvement whatsoever in response inhibition.
A second meta-analysis, of nine studies with a combined total of 349 participants, found no improvement in sustained attention.
Finally, a meta-analysis of three studies with a total of 121 participants likewise found no improvement in working memory.
In all three cases, there was no evidence of publication bias.
The authors concluded, "Results did not show the benefits of neurofeedback on executive functions assessed by neuropsychological tests."
A Chinese research team performed two types of meta-analyses to compare the risk of suicide for ADHD patients taking ADHD medication as opposed to those not taking medication.
The first type of meta-analysis combined six large population studies with a total of over 4.7 million participants. These were located on three continents - Europe, Asia, and North America - and more specifically Sweden, England, Taiwan, and the United States.
The risk of suicide among those taking medication was found to be about a quarter less than for unmediated individuals, though the results were barely significant at the 95 percent confidence level (p = 0.49, just a sliver below the p = 0.5 cutoff point). There were no significant differences between males and females, except that looking only at males or females reduced sample size and made results non-significant.
Differentiating between patients receiving stimulant and non-stimulant medications produced divergent outcomes. A meta-analysis of four population studies covering almost 900,000 individuals found stimulant medications to be associated with a 28 percent reduced risk of suicide. On the other hand, a meta-analysis of three studies with over 62,000 individuals found no significant difference in suicide risk for non-stimulant medications. The benefit, therefore, seems limited to stimulant medication.
The second type of meta-analysis combined three within-individual studies with over 3.9 million persons in the United States, China, and Sweden. The risk of suicide among those taking medication was found to be almost a third less than for unmediated individuals, though the results were again barely significant at the 95 percent confidence level (p =0.49, just a sliver below the p = 0.5 cutoff point). Once again, there were no significant differences between males and females, except that looking only at males or females reduced the sample size and made results non-significant.
Differentiating between patients receiving stimulant and non-stimulant medications once again produced divergent outcomes. Meta-analysis of the same three studies found a 25 percent reduced risk of suicide among those taking stimulant medications. But as in the population studies, a meta-analysis of two studies with over 3.9 million persons found no reduction in risk among those taking non-stimulant medications.
A further meta-analysis of two studies with 3.9 million persons found no reduction in suicide risk among persons taking ADHD medications for 90 days or less, "revealing the importance of duration and adherence to medication in all individuals prescribed stimulants for ADHD."
The authors concluded, "exposure to non-stimulants is not associated with a higher risk of suicide attempts. However, a lower risk of suicide attempts was observed for stimulant drugs. However, the results must be interpreted with caution due to the evidence of heterogeneity ..."
Taiwan has a single-payer healthcare system that covers virtually every inhabitant (99.5%). That makes it relatively easy to track healthcare issues using its comprehensive National Health Insurance Research Database.
This database maintains a subset, the Longitudinal Health Insurance Database (LHID), consisting of a million persons, with no significant differences in sex, age, or healthcare use from the parent database.
A Taiwanese research team used the LHID to identify 114,486 individuals diagnosed with ADHD from 1997 to 2013. It then compared their motor vehicle (including motorcycles, which are extremely common in Taiwan) crash patterns with 338,261 normally developing controls from the same database.
Adjusting for sex, age, and psychiatric comorbidities, persons with ADHD were about a fifth (19%)more likely to be in traffic crashes. Breaking it down further by sex, women with ADHD were no more likely to be in crashes, but men with ADHD were about a quarter (24%) more likely than their healthy counterparts.
Since the database also tracks pharmaceutical prescriptions, the team also looked into the effect of methylphenidate (MPH), the medication that is the first-line treatment for ADHD under Taiwanese guidelines, and the only approved stimulant. Atomoxetine, a non-stimulant, is used where MPH is either ineffective or not indicated for any other reason and is only used in 4% of all cases.
Of the 114,486 persons diagnosed with ADHD, 89,826 used MPH, and 24,660 did not.
Compared with persons with ADHD who were not on methylphenidate, those with ADHD who were on MPH for 180 days (roughly half a year) or less had 77% fewer accidents, and those on MPH for over 180 days had 93% fewer accidents. This strong dose-response relationship is suggestive of a causal relationship, with MPH perhaps reducing impulsive behavior, particularly among young men with ADHD.
The team also conducted within-person analyses, comparing times when persons with ADHD were taking MPH with periods when they were not. These showed no effect within 30 days of use, rising to a 65%reduction in crashes within 60 to 90 days of use, which was barely outside the 95% confidence interval (p = .07), very likely because of "the extremely low incidence of transport accidence (i.e. 0.6%)enlarged the confidence interval."
The authors concluded, "All registration medical claim data came from the nationally-representative sample of NHI, minimizing the selection and recall bias. By excluding transport accidents before ADHD diagnosis, we have precluded the reverse association between ADHD and road traffic accidents as much as possible. The advantage of the between-subjects comparison was that we were able to examine the MPH effect in different dose groups. However, confounding by indication cannot be eliminated. For example, those with a severe degree of ADHD symptoms, an exhibition of risky behaviors, or comorbid with other psychiatric illnesses were more likely to be prescribed medication. Hence, we also performed within-subject comparisons to adjust for time-invariant factors."
Transport safety thus offers another compelling reason to treat ADHD symptoms. Methylphenidate in particular seems to be especially effective in reducing traffic fatalities and injuries.
It is difficult enough for a typical child to manage type-1 diabetes. For a child that also has ADHD, with learning difficulties, attention and memory problems, and limitations in social communication, it can be all the more challenging to carry out the complex tasks necessary to maintain glycemic control (control of blood sugar levels) and avoid diabetic harm.
To explore the additional risk associated with ADHD among children with type-1 diabetes, an international research team used the Swedish national registers to conduct a nationwide population study. Sweden has a single-payer national health insurance system, and assigns unique personal identification numbers to all residents, making it easy to cross-reference through various population and health registers.
The team used the Swedish Diabetes Register to identify all individuals born in Sweden from 1973 onwards with childhood-onset type 1 diabetes diagnosed before age 18. They then restricted the cohort to those who had no diabetic complications at diagnosis and whose HbA1c values had been recorded within 5 years of diagnosis.
Also known as the glycated hemoglobin test, HbA1c is an indicator of the average blood sugar (glucose) level over the past three months. When glucose builds up in the blood, it binds to the hemoglobin in red blood cells. The HbA1ctest measures bound glucose. Since red blood cells live for about 3 months, the test shows the average blood glucose over that period.
The team also searched for records of diabetes-related kidney damage (nephropathy) and damage to the retina (retinopathy). Diabetic retinopathy is the leading cause of blindness among working-age adults.
The nationwide cohort consisted of 11,326 Swedish youths diagnosed with type-1 diabetes, of whom 415 (3.7%) were also diagnosed with ADHD.
Poor glycemic control, defined as mean HbA1c greater than 8.5%, was found in 38% of those with ADHD, twice the 19% found in those without neurodevelopmental disorders. After adjusting for confounders(sex, age at diabetes diagnosis, year of birth and year of diabetes diagnosis, another psychiatric morbidity, parental highest education level, parental psychiatric morbidity, smoking status, mean BMI [body mass index], and mean systolic and diastolic blood pressure), those with ADHD were 2.3 times as likely to have poor glycemic control.
Patients with ADHD were also almost twice as likely to suffer kidney damage, after adjusting for sex, age at diabetes diagnosis, year of birth, year of diabetes diagnosis, another psychiatric morbidity, parental highest education level, parental psychiatric morbidity, mean HbA1c levels, mean BMI, systolic and diastolic blood pressure, and smoking status.
After the same adjustments, patients with ADHD were found to be a third (33%) more likely to suffer retinal damage.
The team concluded, "childhood-onset type 1 diabetes patients with neurodevelopmental disorders, especially those with ADHD or intellectual disability, are more prone to poor glycemic control and a higher risk of chronic diabetic complications compared with those without neurodevelopmental disorders.
Further longitudinal studies with a more comprehensive evaluation of diabetes management and molecular data are needed to provide insight into potential mediators in the association between comorbid neurodevelopmental disorder and diabetes complications in type 1 diabetes."