Dataset Information

Use of medication for attention-deficit/hyperactivity disorder and risk of unintentional injuries in children and adolescents with co-occurring neurodevelopmental disorders.

ABSTRACT:

Background

Attention-deficit/hyperactivity disorder (ADHD) is often associated with other neurodevelopmental disorders (NDs) and with risky behaviors and adverse health outcomes, including injuries. Treatment with ADHD medication has been associated with reduced risk of injuries. However, it is unknown whether the association is present in individuals with co-occurring NDs. The aim of the present study was to estimate the association between ADHD medication use and unintentional injuries in Sweden in children and adolescents with ADHD, including those with co-occurring NDs.

Methods

Using a linkage of several national registers via the unique personal identification number, we identified individuals with a diagnosis of ADHD and of other NDs, including autism spectrum disorder, intellectual disability, communication disorders, learning disorders and motor disorders. The primary outcome was unintentional injuries. Secondary outcome was traumatic brain injury (TBI). Individuals were followed from January 1st 2006 or their 5th birthday or the date of the first unintentional injury, whichever came last, to December 31st 2013 or their 18th birthday or death, whichever came first. We compared the rate of injuries during periods on-treatment with the rate of injuries during periods off-treatment within the same individual using stratified Cox regression to calculate hazard ratio (HR) with 95% confidence intervals (CIs).

Results

For children and adolescents with ADHD (N = 9,421) the rate of any unintentional injuries (HR = 0.85; 95% CI = 0.78-0.92) and TBIs (HR = 0.27; 95% CIs = 0.20-0.38) during medicated periods was lower than during non-medicated periods. Similar results were found among individuals with co-occurring NDs (N = 2,986), for unintentional injuries (HR = 0.88; 95% CI = 0.77-1.01) and for TBIs (HR = 0.27; 95% CI = 0.16-0.44).

Conclusions

Beneficial effects of ADHD medication may extend beyond reduction of ADHD core symptoms to prevention of unintentional injuries in children and adolescents, including individuals with co-occurring NDs.

SUBMITTER: Ghirardi L

PROVIDER: S-EPMC6980200 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Use of medication for attention-deficit/hyperactivity disorder and risk of unintentional injuries in children and adolescents with co-occurring neurodevelopmental disorders.

Ghirardi Laura L Chen Qi Q Chang Zheng Z Kuja-Halkola Ralf R Skoglund Charlotte C Quinn Patrick D PD D'Onofrio Brian M BM Larsson Henrik H

Journal of child psychology and psychiatry, and allied disciplines 20191018 2

<h4>Background</h4>Attention-deficit/hyperactivity disorder (ADHD) is often associated with other neurodevelopmental disorders (NDs) and with risky behaviors and adverse health outcomes, including injuries. Treatment with ADHD medication has been associated with reduced risk of injuries. However, it is unknown whether the association is present in individuals with co-occurring NDs. The aim of the present study was to estimate the association between ADHD medication use and unintentional injuries ...[more]

PMID: 31625605

Similar Datasets

Project description:BACKGROUND:A recent large-scale mega genome-wide association study identified, for the first time, genetic variants at 12 loci significantly associated with attention-deficit/hyperactivity disorder (ADHD). In this study we use a powerful polygenic approach, with polygenic scores derived from the genome-wide association study, to investigate the etiological overlap between ADHD and frequently co-occurring traits and disorders. METHODS:Polygenic risk scores for ADHD derived from the mega genome-wide association study (20,183 cases and 35,191 control subjects) were computed in a large-scale adult population sample (N = 135,726) recruited by the UK Biobank. Regression analyses were conducted to investigate whether polygenic risk for ADHD is associated with related traits and disorders in this population sample. The effects of sex were investigated via inclusion of an interaction term in the models. RESULTS:Polygenic risk for ADHD significantly and positively predicted body mass index (R2 = .45%; p = 5 × 10-129), neuroticism (R2 = .09%; p = 2 × 10-24), depression (R2 = .11%; p = 2 × 10-13), anxiety (R2 = .06%; p = 3 × 10-4), risk taking (R2 = .12%; p = 9 × 10-25), alcohol intake (R2 = .09%; p = 8 × 10-29), smoking (R2 = .33%; p = 4 × 10-21), alcohol dependency (R2 = .21%; p = 5 × 10-6), and negatively predicted verbal-numerical reasoning (R2 = .38%; p = 5 × 10-36). Polygenic risk scores did not significantly predict schizophrenia or bipolar disorder, although this may be because of the small number of diagnostic cases. We found no interaction effects between polygenic risk for ADHD and sex on any phenotypes. CONCLUSIONS:Our findings suggest that common genetic variation underlying risk for clinically diagnosed ADHD also contributes to higher body mass index, neuroticism, anxiety and depressive disorders, alcohol and nicotine use, risk taking, and lower general cognitive ability in the general population. These findings suggest that the co-occurrence of several traits with ADHD is partly explained by the same common genetic variants.

Project description:BackgroundMaternal diabetes has been associated with a risk of neurodevelopmental disorders (NDDs) in offspring, though the common co-occurrence of autism spectrum disorders (ASD), attention-deficit/hyperactivity disorder (ADHD) and intellectual disability (ID) is rarely considered, nor is the potential for confounding by shared familial factors (e.g. genetics).MethodsThis population-based cohort study used data from Psychiatry Sweden, a linkage of Swedish national registers, to follow 2 369 680 individuals born from 1987 to 2010. We used population-averaged logit models to examine the association between exposure to maternal type 1 diabetes mellitus (T1DM), pre-gestational type 2 diabetes mellitus (T2DM) or gestational diabetes mellitus (GDM), and odds of NDDs in offspring. Subgroup analysis was then performed to investigate the timings of GDM diagnosis during pregnancy and its effect on the odds of NDDs in offspring. We compared these results to models considering paternal lifetime T1DM and T2DM as exposures.ResultsOverall, 45 678 individuals (1.93%) were diagnosed with ASD, 20 823 (0.88%) with ID and 102 018 (4.31%) with ADHD. All types of maternal diabetes were associated with odds of NDDs, with T2DM most strongly associated with any diagnosis of ASD (odds ratioadjusted 1.37, 95% confidence interval 1.03-1.84), ID (2.09, 1.53-2.87) and ADHD (1.43, 1.16-1.77). Considering common co-morbid groups, the associations were strongest between maternal diabetes and diagnostic combinations that included ID. Paternal T1DM and T2DM diagnoses were also associated with offspring NDDs, but these associations were weaker than those with maternal diabetes. Diagnosis of GDM between 27 and 30 weeks of gestation was generally associated with the greatest risk of NDDs in offspring, with the strongest associations for outcomes that included ID.ConclusionThe association of maternal diabetes with NDDs in offspring varies depending on the co-morbid presentation of the NDDs, with the greatest odds associated with outcomes that included ID. Results of paternal-comparison studies suggest that the above associations are likely to be partly confounded by shared familial factors, such as genetic liability.

Dataset Information

Use of medication for attention-deficit/hyperactivity disorder and risk of unintentional injuries in children and adolescents with co-occurring neurodevelopmental disorders.

Background

Methods

Results

Conclusions

Publications

Use of medication for attention-deficit/hyperactivity disorder and risk of unintentional injuries in children and adolescents with co-occurring neurodevelopmental disorders.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets