Dataset Information

Categorical and dimensional approaches to the developmental relationship between ADHD and irritability.

ABSTRACT:

Background

Attention deficit hyperactivity disorder (ADHD) and irritability commonly co-occur, and follow similar developmental trajectories from childhood to adolescence. Understanding of the developmental relationship between these co-occurrences is limited. This study provides a longitudinal assessment of how ADHD diagnostic status and symptom patterns predict change in irritability.

Methods

A community sample of 337 participants (45.2% ADHD), recruited for the Childhood Attention Project, completed the Affective Reactivity Index (ARI) to measure irritability at baseline (mean age 10.5 years) and follow-up after 18-months. Latent change score models were used to assess how (a) baseline ADHD vs. control group status, (b) baseline symptom domain (inattention, hyperactivity-impulsivity) and (c) longitudinal change in ADHD symptom severity predicted change in irritability.

Results

Irritability was significantly higher among the ADHD group than controls; however, change in irritability over time did not differ between groups. When assessed across the entire cohort, change in irritability was predicted by higher symptom count in the hyperactive-impulsive domain, but not the inattentive domain. Greater declines in ADHD symptoms over time significantly predicted greater declines in irritability. Baseline ADHD symptom severity was found to significantly predict change in irritability; however, baseline irritability did not significantly predict change in ADHD symptoms.

Conclusions

ADHD symptoms-particularly hyperactive-impulsive symptoms-predict the degree and trajectory of irritability during childhood and adolescence, even when symptoms are below diagnostic thresholds. The use of longitudinal, dimensional and symptom domain-specific measures provides additional insight into this relationship.

SUBMITTER: Johns-Mead R

PROVIDER: S-EPMC10952727 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Categorical and dimensional approaches to the developmental relationship between ADHD and irritability.

Johns-Mead Rania R Vijayakumar Nandita N Mulraney Melissa M Melvin Glenn G Youssef George G Sciberras Emma E Anderson Vicki A VA Nicholson Jan M JM Efron Daryl D Hazel Philip P Silk Tim J TJ

Journal of child psychology and psychiatry, and allied disciplines 20230511 10

<h4>Background</h4>Attention deficit hyperactivity disorder (ADHD) and irritability commonly co-occur, and follow similar developmental trajectories from childhood to adolescence. Understanding of the developmental relationship between these co-occurrences is limited. This study provides a longitudinal assessment of how ADHD diagnostic status and symptom patterns predict change in irritability.<h4>Methods</h4>A community sample of 337 participants (45.2% ADHD), recruited for the Childhood Attent ...[more]

PMID: 37170636

Similar Datasets

Project description:BackgroundObservational studies have suggested that irritability is associated with a higher risk of cardiovascular disease (CVD). However, the potential causal association is not clear. Therefore, we used Mendelian randomization (MR) analysis to assess the causal association of irritability with CVD risk.MethodsA two-sample MR analysis was performed to confirm the causal association of irritability with the risk of several common CVDs. The exposure data were derived from the UK biobank involving 90,282 cases and 232,386 controls, and outcome data were collected from the published genome-wide association studies (GWAS) and FinnGen database. Inverse-variance weighted (IVW), MR-Egger, and weighted median methods were performed to assess the causal association. Furthermore, the mediating effect of smoking, insomnia, and depressed affect was explored by using a two-step MR.ResultsThe MR analysis indicated that genetically predicted irritability increased the risk of CVD, including coronary artery disease (CAD) (Odds ratio, OR: 2.989; 95% confidence interval, CI: 1.521-5.874, p = 0.001), myocardial infarction (MI) (OR: 2.329, 95% CI: 1.145-4.737, p = 0.020), coronary angioplasty (OR: 5.989, 95% CI: 1.696-21.153, p = 0.005), atrial fibrillation (AF) (OR: 4.646, 95% CI: 1.268-17.026, p = 0.02), hypertensive heart disease (HHD) (OR: 8.203; 95% CI: 1.614-41.698, p = 0.011), non-ischemic cardiomyopathy (NIC) (OR: 5.186; 95% CI: 1.994-13.487, p = 0.001), heart failure (HF) (OR: 2.253; 95% CI: 1.327-3.828, p = 0.003), stroke (OR: 2.334; 95% CI: 1.270-4.292, p = 0.006), ischemic stroke (IS) (OR: 2.249; 95% CI: 1.156-4.374, p = 0.017), and ischemic stroke of large-artery atherosclerosis ISla (OR: 14.326; 95% CI: 2.750-74.540, p = 0.002). The analysis also indicated that smoking, insomnia, and depressed affect play an important role in the process of irritability leading to cardiovascular disease.ConclusionOur findings support the first genetic evidence of the causality of genetically predicted irritability with the risk of developing into CVDs. Our results deliver a viewpoint that more early active interventions to manage an individual's anger and related unhealthy lifestyle habits are needed to prevent the occurrence of adverse cardiovascular events.

Dataset Information

Categorical and dimensional approaches to the developmental relationship between ADHD and irritability.

Background

Methods

Results

Conclusions

Publications

Categorical and dimensional approaches to the developmental relationship between ADHD and irritability.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets