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Libutzki B, Neukirch B, Reif A, Hartman CA. Somatic burden of attention-deficit/hyperactivity disorder across the lifecourse. Acta Psychiatr Scand 2024; 150:105-117. [PMID: 38804256 DOI: 10.1111/acps.13694] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Revised: 04/07/2024] [Accepted: 05/06/2024] [Indexed: 05/29/2024]
Abstract
OBJECTIVE A thorough and comprehensive knowledge base on the extent of comorbidity of attention-deficit/hyperactivity disorder (ADHD) and somatic conditions is needed. METHOD We compared the prevalence of a wide range of somatic conditions in individuals with and without ADHD and described sex and lifecourse differences. Individuals with an ADHD diagnosis (N = 87,394) and age and sex-matched individuals without an ADHD diagnosis were identified from a large health claims dataset representative of the general German population, including both primary and specialized care (N = 4.874,754). Results were provided for the full sample as well as stratified for sex and age (<12 years, 13-17 years, 18-29 years, 30-59 years, ≥60 years). RESULTS The results showed that ADHD is associated with a wide variety of somatic conditions across the entire lifecourse. Specifically neurological disorders such as Parkison's disease (odds ratio [OR]: 5.21) and dementia (OR: 2.23), sleep-related disorders (OR: 2.38) and autoimmune disorders affecting the musculoskeletal, digestive, and endocrine system (fibromyalgia OR: 3.33; lupus OR: 2.17) are strongly and significantly associated with ADHD. Additionally, ADHD is associated with higher occurrence of common acute diseases typically treated by the general practitioner, hinting at an overall general lower health status. Sex differences in somatic comorbidity were not prominent. Age differences, in contrast, stood out: in particular endocrine, cardiovascular, and neurological disorders had an early onset in individuals with compared to individuals without ADHD. CONCLUSION This research underlines the high burden of disease due to somatic conditions among individuals with ADHD. The findings indicate the need for preventive measures to reduce comorbidity.
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Affiliation(s)
- Berit Libutzki
- Department of Psychiatry, Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE), University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Benno Neukirch
- Hochschule Niederrhein, University of Applied Sciences, Krefeld, Germany
| | - Andreas Reif
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Catharina A Hartman
- Department of Psychiatry, Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE), University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
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Shi J, Wen W, Long J, Gamazon ER, Tao R, Cai Q. Genetic correlation and causal associations between psychiatric disorders and lung cancer risk. J Affect Disord 2024; 356:647-656. [PMID: 38657774 DOI: 10.1016/j.jad.2024.04.080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Revised: 04/04/2024] [Accepted: 04/21/2024] [Indexed: 04/26/2024]
Abstract
BACKGROUND Patients with certain psychiatric disorders have increased lung cancer incidence. However, establishing a causal relationship through traditional epidemiological methods poses challenges. METHODS Available summary statistics of genome-wide association studies of cigarette smoking, lung cancer, and eight psychiatric disorders, including attention deficit/hyperactivity disorder (ADHD), autism, depression, major depressive disorder, bipolar disorder, insomnia, neuroticism, and schizophrenia (range N: 46,350-1,331,010) were leveraged to estimate genetic correlations using Linkage Disequilibrium Score Regression and assess causal effect of each psychiatric disorder on lung cancer using two-sample Mendelian randomization (MR) models, comprising inverse-variance weighted (IVW), weighted median, MR-Egger, pleiotropy residual sum and outlier testing (MR-PRESSO), and a constrained maximum likelihood approach (cML-MR). RESULTS Significant positive correlations were observed between each psychiatric disorder and both smoking and lung cancer (all FDR < 0.05), except for the correlation between autism and lung cancer. Both univariable and the cML-MA MR analyses demonstrated that liability to schizophrenia, depression, ADHD, or insomnia was associated with an increased risk of overall lung cancer. Genetic liability to insomnia was linked specifically to squamous cell carcinoma (SCC), while genetic liability to ADHD was associated with an elevated risk of both SCC and small cell lung cancer (all P < 0.05). The later was further supported by multivariable MR analyses, which accounted for smoking. LIMITATIONS Participants were constrained to European ancestry populations. Causal estimates from binary psychiatric disorders may be biased. CONCLUSION Our findings suggest appropriate management of several psychiatric disorders, particularly ADHD, may potentially reduce the risk of developing lung cancer.
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Affiliation(s)
- Jiajun Shi
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN 37203, USA
| | - Wanqing Wen
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN 37203, USA
| | - Jirong Long
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN 37203, USA
| | - Eric R Gamazon
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37203, USA; Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN 37203, USA; Data Science Institute, Vanderbilt University Medical Center, Nashville, TN 37203, USA; Clare Hall, University of Cambridge, Cambridge CB3 9AL, UK; MRC Epidemiology Unit, University of Cambridge, Cambridge CB2 0SL, UK
| | - Ran Tao
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN 37203, USA; Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN 37203, USA
| | - Qiuyin Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN 37203, USA.
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Chen J, Zhu Q, Li L, Xue Z. Celiac disease and attention-deficit/hyperactivity disorder: a bidirectional Mendelian randomization analysis. Front Psychiatry 2024; 15:1291096. [PMID: 38868492 PMCID: PMC11167073 DOI: 10.3389/fpsyt.2024.1291096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Accepted: 05/16/2024] [Indexed: 06/14/2024] Open
Abstract
Background Recent observational research suggests a potential link between celiac disease (CeD) and an increased incidence of attention-deficit/hyperactivity disorder (ADHD). However, the genetic relationship between CeD and ADHD remains unclear. In order to assess the potential genetic causality between these two conditions, we conducted a Mendelian randomization (MR) analysis. Methods We performed a bidirectional MR analysis to investigate the relationship between CeD and ADHD. We carefully selected single nucleotide polymorphisms (SNPs) from publicly available large-scale genome-wide association studies (GWAS) databases, employing rigorous quality screening criteria. MR estimates were obtained using four different methods: fixed-effect inverse variance weighted (fe-IVW), random-effect inverse variance weighting (re-IVW), weighted median (WM), and MR-Egger. The robustness and reliability of our findings were confirmed through sensitivity analyses, assessment of instrumental variable (IV) strength (F-statistic), and statistical power calculations. Results Our MR analyses did not reveal any significant genetic associations between CeD and ADHD (fe-IVW: OR = 1.003, 95% CI = 0.932-1.079, P = 0.934). Similarly, in the reverse direction analysis, we found no evidence supporting a genetic relationship between ADHD and CeD (fe-IVW: OR = 0.850, 95% CI = 0.591-1.221, P = 0.378). Various MR approaches consistently yielded similar results. Sensitivity analysis indicated the absence of significant horizontal pleiotropy or heterogeneity. However, it's important to note that the limited statistical power of our study may have constrained the causal analysis of the exposure's influence on the outcome. Conclusions Our findings do not provide compelling evidence for a genetic association between CeD and ADHD within the European population. While the statistical power of our study was limited, future MR research could benefit from larger-scale datasets or datasets involving similar traits. To validate our results in real-world scenarios, further mechanistic studies, large-sample investigations, multicenter collaborations, and longitudinal studies are warranted.
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Affiliation(s)
- Jing Chen
- Department of Pediatrics, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Qiaozhen Zhu
- Infection and Immunity Institute and Translational Medical Center, Huaihe Hospital of Henan University, Kaifeng, China
| | - Lan Li
- Department of Pediatrics, The first affiliated hospital of Zhejiang Chinese Medical University, Hangzhou, China
| | - Zheng Xue
- Department of Pediatrics, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
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Lee YS, Sprong ME, Shrestha J, Smeltzer MP, Hollender H. Trajectory Analysis for Identifying Classes of Attention Deficit Hyperactivity Disorder (ADHD) in Children of the United States. Clin Pract Epidemiol Ment Health 2024; 20:e17450179298863. [PMID: 39130191 PMCID: PMC11311732 DOI: 10.2174/0117450179298863240516070510] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Revised: 04/12/2024] [Accepted: 04/30/2024] [Indexed: 08/13/2024]
Abstract
Background Attention Deficit Hyperactivity Disorder (ADHD) is a mental health disorder that affects attention and behavior. People with ADHD frequently encounter challenges in social interactions, facing issues, like social rejection and difficulties in interpersonal relationships, due to their inattention, impulsivity, and hyperactivity. Methods A National Longitudinal Survey of Youth (NLSY) database was employed to identify patterns of ADHD symptoms. The children who were born to women in the NLSY study between 1986 and 2014 were included. A total of 1,847 children in the NLSY 1979 cohort whose hyperactivity/inattention score was calculated when they were four years old were eligible for this study. A trajectory modeling method was used to evaluate the trajectory classes. Sex, baseline antisocial score, baseline anxiety score, and baseline depression score were adjusted to build the trajectory model. We used stepwise multivariate logistic regression models to select the risk factors for the identified trajectories. Results The trajectory analysis identified six classes for ADHD, including (1) no sign class, (2) few signs since preschool being persistent class, (3) few signs in preschool but no signs later class, (4) few signs in preschool that magnified in elementary school class, (5) few signs in preschool that diminished later class, and (6) many signs since preschool being persistent class. The sensitivity analysis resulted in a similar trajectory pattern, except for the few signs since preschool that magnified later class. Children's race, breastfeeding status, headstrong score, immature dependent score, peer conflict score, educational level of the mother, baseline antisocial score, baseline anxious/depressed score, and smoking status 12 months prior to the birth of the child were found to be risk factors in the ADHD trajectory classes. Conclusion The trajectory classes findings obtained in the current study can (a) assist a researcher in evaluating an intervention (or combination of interventions) that best decreases the long-term impact of ADHD symptoms and (b) allow clinicians to better assess as to which class a child with ADHD belongs so that appropriate intervention can be employed.
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Affiliation(s)
- Yu-Sheng Lee
- School of Integrated Sciences, Sustainability, and Public Health, College of Health, Science, and Technology, University of Illinois at Springfield, Illinois, United States
| | - Matthew Evan Sprong
- School of Public Management and Policy, College of Public Affairs and Education, University of Illinois at Springfield, llinois, United States
| | - Junu Shrestha
- School of Integrated Sciences, Sustainability, and Public Health, College of Health, Science, and Technology, University of Illinois at Springfield, Illinois, United States
| | - Matthew P. Smeltzer
- Division of Epidemiology, Biostatistics, and Environmental Health, School of Public Health, University of Memphis, Tennessee, United States
| | - Heaven Hollender
- School of Health and Human Sciences, Indiana University Indianapolis, Indiana, United States
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Dobrosavljevic M, Kuja-Halkola R, Li L, Chang Z, Larsson H, Du Rietz E. Attention-deficit/hyperactivity disorder symptoms and subsequent cardiometabolic disorders in adults: investigating underlying mechanisms using a longitudinal twin study. BMC Med 2023; 21:452. [PMID: 37993878 PMCID: PMC10664476 DOI: 10.1186/s12916-023-03174-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Accepted: 11/13/2023] [Indexed: 11/24/2023] Open
Abstract
BACKGROUND Emerging research suggests that attention-deficit/hyperactivity disorder (ADHD) increases the risk for cardiovascular (CVDs) and metabolic disorders (i.e., cardiometabolic disorders) in adulthood. Yet, available studies are scarce and have mainly been focused on individuals receiving clinical ADHD diagnoses. We aimed to investigate the prospective associations of ADHD symptoms in young and mid-adulthood with subsequent cardiometabolic disorders and the underlying mechanisms. METHODS We studied 10,394 twins from the Swedish Twin Registry (STR), born between 1958 and 1985 without previous medical history of cardiometabolic disorders. They provided self-assessment of ADHD symptoms (score range 0-36) via a validated, DSM-IV-based scale in a web-based questionnaire/telephone interview within the Study of Twin Adults: Genes and Environment (STAGE), in 2005-2006 (aged 19-47 years), and were followed until the end of 2018 (33-59 years) to identify incident clinical diagnoses/medication prescriptions for cardiometabolic disorders acquired from Swedish national registers. We used Cox regression models to investigate the associations between ADHD symptoms score and cardiometabolic outcomes, with and without adjustment for relevant covariates, and a co-twin control design to study familial confounding. RESULTS A one-unit increase in the level of ADHD symptoms was associated with a 2% increase in the rate of CVDs (hazard ratio [HR] = 1.02, 95% confidence interval 1.01-1.04) and a 3% increase in the rate of metabolic disorders (HR = 1.03, 1.02-1.05), after adjusting for birth year and sex. The associations were no longer significant after adjusting for educational attainment, lifestyle factors, and comorbid psychiatric disorders. The associations remained significant after adjusting for familial factors shared by dizygotic twin pairs but became nonsignificant after adjusting for factors shared by monozygotic twin pairs. However, the strength of the associations attenuated significantly in monozygotic twins compared to dizygotic twins for CVDs only, suggesting genetic confounding. CONCLUSIONS ADHD symptom score is associated with a higher risk for cardiometabolic disorders, which may be explained by lower educational attainment, adverse lifestyle factors, and psychiatric comorbidities. Moreover, the associations appear to be partly confounded by shared genetic factors, especially for CVDs. Further research is needed to investigate the identified associations at the level of individual cardiometabolic disorders and to follow-up participants until a more advanced older age.
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Affiliation(s)
- Maja Dobrosavljevic
- School of Medical Sciences, Faculty of Medicine and Health, Örebro University, SE-701 82, Örebro, Sweden.
| | - Ralf Kuja-Halkola
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Lin Li
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Zheng Chang
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Henrik Larsson
- School of Medical Sciences, Faculty of Medicine and Health, Örebro University, SE-701 82, Örebro, Sweden
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Ebba Du Rietz
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
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Smari UJ, Valdimarsdottir UA, Aspelund T, Hauksdottir A, Thordardottir EB, Hartman CA, Andell P, Larsson H, Zoega H. Psychiatric comorbidities in women with cardiometabolic conditions with and without ADHD: a population-based study. BMC Med 2023; 21:450. [PMID: 37981673 PMCID: PMC10659052 DOI: 10.1186/s12916-023-03160-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/07/2023] [Accepted: 11/06/2023] [Indexed: 11/21/2023] Open
Abstract
BACKGROUND Leveraging a large nationwide study of Icelandic women, we aimed to narrow the evidence gap around female attention-deficit/hyperactivity disorder (ADHD) and cardiometabolic comorbidities by determining the prevalence of obesity, hypertension, type 2 diabetes, and cardiovascular diseases among women with ADHD and examine the association between cardiometabolic conditions and co-occurring ADHD with anxiety and mood disorders, alcoholism/substance use disorder (SUD), self-harm, and suicide attempts. METHODS We conducted a cross-sectional analysis of the nationwide, all-female, population-based SAGA Cohort Study (n = 26,668). To ascertain diagnoses and symptoms, we used self-reported history of ADHD diagnoses, selected cardiometabolic conditions and psychiatric disorders, and measured current depressive, anxiety, and PTSD symptoms through appropriate questionnaires (PHQ-9, GAD-7, and PCL-5). We calculated age-adjusted prevalences of cardiometabolic conditions by women's ADHD status and estimated adjusted prevalence ratios (PR) and 95% confidence intervals (CI), using modified Poisson regression models. Similarly, we assessed the association of cardiometabolic conditions and co-occurring ADHD with current psychiatric symptoms and psychiatric disorders, using adjusted PRs and 95% CIs. RESULTS We identified 2299 (8.6%) women with a history of ADHD diagnosis. The age-adjusted prevalence of having at least one cardiometabolic condition was higher among women with ADHD (49.5%) than those without (41.7%), (PR = 1.19, 95% CI 1.14-1.25), with higher prevalence of all measured cardiometabolic conditions (myocardial infarctions (PR = 2.53, 95% CI 1.83--3.49), type 2 diabetes (PR = 2.08, 95% CI 1.66-2.61), hypertension (PR = 1.23, 95% CI 1.12-1.34), and obesity (PR = 1.18, 95% CI 1.11-1.25)). Women with cardiometabolic conditions and co-occurring ADHD had, compared with those without ADHD, substantially increased prevalence of (a) all measured mood and anxiety disorders, e.g., depression (PR = 2.38, 95% CI 2.19-2.58), bipolar disorder (PR = 4.81, 95% CI 3.65-6.35), posttraumatic stress disorder (PR = 2.78, 95% CI 2.52-3.07), social phobia (PR = 2.96, 95% CI 2.64-3.32); (b) moderate/severe depressive, anxiety, and PTSD symptoms with PR = 1.76 (95% CI 1.67-1.85), PR = 1.97 (95% CI 1.82-2.12), and PR = 2.01 (95% CI 1.88-2.15), respectively; (c) alcoholism/SUD, PR = 4.79 (95% CI 3.90-5.89); and (d) self-harm, PR = 1.47 (95% CI 1.29-1.67) and suicide attempts, PR = 2.37 (95% CI 2.05-2.73). CONCLUSIONS ADHD is overrepresented among women with cardiometabolic conditions and contributes substantially to other psychiatric comorbidities among women with cardiometabolic conditions.
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Affiliation(s)
- Unnur Jakobsdottir Smari
- Centre of Public Health Sciences, Faculty of Medicine, University of Iceland, Sturlugata 8, Reykjavík, 102, Iceland.
| | - Unnur Anna Valdimarsdottir
- Centre of Public Health Sciences, Faculty of Medicine, University of Iceland, Sturlugata 8, Reykjavík, 102, Iceland
- Unit of Integrative Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Thor Aspelund
- Centre of Public Health Sciences, Faculty of Medicine, University of Iceland, Sturlugata 8, Reykjavík, 102, Iceland
| | - Arna Hauksdottir
- Centre of Public Health Sciences, Faculty of Medicine, University of Iceland, Sturlugata 8, Reykjavík, 102, Iceland
| | - Edda Bjork Thordardottir
- Centre of Public Health Sciences, Faculty of Medicine, University of Iceland, Sturlugata 8, Reykjavík, 102, Iceland
- Mental Health Services, Landspitali, The National University Hospital of Iceland, Reykjavik, Iceland
| | - Catharina A Hartman
- Interdisciplinary Center Psychopathology and Emotion Regulations (ICPE), Department of Psychiatry, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Pontus Andell
- Unit of Cardiology, Department of Medicine, Karolinska Institutet, Heart and Vascular Division, Karolinska University Hospital, Stockholm, Sweden
| | - Henrik Larsson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- School of Medical Sciences, Örebro University, Örebro, Sweden
| | - Helga Zoega
- Centre of Public Health Sciences, Faculty of Medicine, University of Iceland, Sturlugata 8, Reykjavík, 102, Iceland
- School of Population Health, Faculty of Medicine and Health, UNSW Sydney, Sydney, NSW, Australia
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Thapar AK, Riglin L, Blakey R, Collishaw S, Davey Smith G, Stergiakouli E, Tilling K, Thapar A. Childhood attention-deficit hyperactivity disorder problems and mid-life cardiovascular risk: prospective population cohort study. Br J Psychiatry 2023; 223:472-477. [PMID: 37408455 PMCID: PMC7615511 DOI: 10.1192/bjp.2023.90] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Revised: 05/26/2023] [Accepted: 05/30/2023] [Indexed: 07/07/2023]
Abstract
BACKGROUND It is well-known that childhood attention-deficit hyperactivity disorder (ADHD) is associated with later adverse mental health and social outcomes. Patient-based studies suggest that ADHD may be associated with later cardiovascular disease (CVD) but the focus of preventive interventions is unclear. It is unknown whether ADHD leads to established cardiovascular risk factors because so few cohort studies measure ADHD and also follow up to an age where CVD risk is evident. AIMS To examine associations between childhood ADHD problems and directly measured CVD risk factors at ages 44/45 years in a UK population-based cohort study (National Child Development Study) of individuals born in 1958. METHOD Childhood ADHD problems were defined by elevated ratings on both the parent Rutter A scale and a teacher-rated questionnaire at age 7 years. Outcomes were known cardiovascular risk factors (blood pressure, lipid measurements, body mass index and smoking) at the age 44/45 biomedical assessment. RESULTS Of the 8016 individuals assessed both during childhood and at the biomedical assessment 3.0% were categorised as having childhood ADHD problems. ADHD problems were associated with higher body mass index (B = 0.92 kg/m2, s.d. = 0.27-1.56), systolic (3.5 mmHg, s.d. = 1.4-5.6) and diastolic (2.2 mmHg, s.d. = 0.8-3.6) blood pressure, triglyceride levels (0.24 mol/l, s.d. = 0.02-0.46) and being a current smoker (odds ratio OR = 1.6, s.d. = 1.2-2.1) but not with LDL cholesterol. CONCLUSIONS Childhood ADHD problems predicted multiple cardiovascular risk factors by mid-life. These findings, when taken together with previously observed associations with cardiovascular disease in registries, suggest that individuals with ADHD could benefit from cardiovascular risk monitoring, given these risk factors are modifiable with timely intervention.
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Affiliation(s)
- Ajay K. Thapar
- Division of Psychological Medicine and Clinical Neurosciences, Centre for Neuropsychiatric Genetics and Genomics, Wolfson Centre for Young People's Mental Health, Cardiff University School of Medicine, Cardiff, UK
| | - Lucy Riglin
- Division of Psychological Medicine and Clinical Neurosciences, Centre for Neuropsychiatric Genetics and Genomics, Wolfson Centre for Young People's Mental Health, Cardiff University School of Medicine, Cardiff, UK
| | - Rachel Blakey
- Population Health Sciences and MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Stephan Collishaw
- Division of Psychological Medicine and Clinical Neurosciences, Centre for Neuropsychiatric Genetics and Genomics, Wolfson Centre for Young People's Mental Health, Cardiff University School of Medicine, Cardiff, UK
| | - George Davey Smith
- Population Health Sciences and MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Evie Stergiakouli
- Population Health Sciences and MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Kate Tilling
- Population Health Sciences and MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Anita Thapar
- Division of Psychological Medicine and Clinical Neurosciences, Centre for Neuropsychiatric Genetics and Genomics, Wolfson Centre for Young People's Mental Health, Cardiff University School of Medicine, Cardiff, UK
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Li L, Yao H, Zhang L, Garcia‐Argibay M, Du Rietz E, Brikell I, Solmi M, Cortese S, Ramos‐Quiroga JA, Ribasés M, Chang Z, Larsson H. Attention-deficit/hyperactivity disorder is associated with increased risk of cardiovascular diseases: A systematic review and meta-analysis. JCPP ADVANCES 2023; 3:e12158. [PMID: 37720588 PMCID: PMC10501695 DOI: 10.1002/jcv2.12158] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Accepted: 02/16/2023] [Indexed: 09/19/2023] Open
Abstract
Attention-deficit/hyperactivity disorder (ADHD) often co-occurs with other psychiatric and physical diseases. However, available evidence on associations between ADHD and cardiovascular diseases (CVDs) is mixed. To systematically review, quantitatively synthesize, and appraise available evidence on the link between ADHD with CVDs, we searched relevant articles in PubMed, Embase, PsycINFO, and Web of Science from inception to May 1, 2022. Study quality was assessed by using the Newcastle-Ottawa Scale, and random-effects model meta-analyses were performed. A total of 18,391,169 (ADHD: n = 421,224) individuals from 11 studies were included in our systematic review and 8,196,648 (ADHD = 332,619) individuals from five studies were included in the main meta-analysis of adjusted estimates. Pooled estimates showed that ADHD was significantly associated with an increased risk of CVDs in analyses based on adjusted effect size (odds ratio (OR) = 1.96; 95% confidence interval (CI) = 1.19-2.23, Q = 140.74, P Q < 0.001, I 2 = 97.2%). When restricted among adults, the heterogeneity declined to null (OR = 1.73; 95% CI = 1.14-2.62, Q = 6.28, P Q = 0.10, I 2 = 6.28%), suggesting age might be the main source of heterogeneity. In subgroup analyses, we found increased risk of CVDs associated with ADHD across age groups, type of CVDs, and data sources. This systematic review and meta-analyses indicate that ADHD is associated with increased risk for CVDs, but further studies with various study designs are warranted to advance the understanding of the underlying mechanisms for the observed association between ADHD and CVDs. Additional research is also needed to resolve the role of ADHD medications which remains unclear due to the limited number of primary studies exploring this issue.
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Affiliation(s)
- Lin Li
- School of Medical SciencesÖrebro UniversityÖrebroSweden
- Department of Medical Epidemiology and BiostatisticsKarolinska InstitutetStockholmSweden
| | - Honghui Yao
- Department of Medical Epidemiology and BiostatisticsKarolinska InstitutetStockholmSweden
| | - Le Zhang
- Department of Medical Epidemiology and BiostatisticsKarolinska InstitutetStockholmSweden
| | | | - Ebba Du Rietz
- Department of Medical Epidemiology and BiostatisticsKarolinska InstitutetStockholmSweden
| | - Isabell Brikell
- Department of Medical Epidemiology and BiostatisticsKarolinska InstitutetStockholmSweden
- Department of BiomedicineAarhus UniversityAarhusDenmark
| | - Marco Solmi
- Department of PsychiatryUniversity of OttawaOttawaOntarioCanada
- Department of Mental HealthThe Ottawa HospitalOttawaOntarioCanada
- Ottawa Hospital Research Institute (OHRI) Clinical Epidemiology Program University of OttawaOttawaOntarioCanada
- Department of Child and Adolescent PsychiatryCharité UniversitätsmedizinBerlinGermany
- Centre for Innovation in Mental Health‐Developmental LabSchool of PsychologyUniversity of SouthamptonSouthamptonUK
| | - Samuele Cortese
- Centre for Innovation in Mental Health‐Developmental LabSchool of PsychologyUniversity of SouthamptonSouthamptonUK
- Solent NHS TrustSouthamptonUK
- Hassenfeld Children's Hospital at NYU LangoneNew York University Child Study CenterNew YorkHampshireUSA
- Division of Psychiatry and Applied PsychologySchool of MedicineUniversity of NottinghamNottinghamUK
| | - J. Antoni Ramos‐Quiroga
- Department of Psychiatry and Forensic MedicineUniversitat Autònoma de BarcelonaBarcelonaSpain
- Biomedical Network Research Centre on Mental Health (CIBERSAM)MadridSpain
- Department of Mental HealthHospital Universitari Vall d'HebronBarcelonaSpain
- Psychiatric Genetics UnitGroup of PsychiatryMental Health and AddictionVall d’Hebron Research Institute (VHIR)Universitat Autònoma de BarcelonaBarcelonaSpain
| | - Marta Ribasés
- Biomedical Network Research Centre on Mental Health (CIBERSAM)MadridSpain
- Department of Mental HealthHospital Universitari Vall d'HebronBarcelonaSpain
- Psychiatric Genetics UnitGroup of PsychiatryMental Health and AddictionVall d’Hebron Research Institute (VHIR)Universitat Autònoma de BarcelonaBarcelonaSpain
- Department of Genetics, Microbiology, and StatisticsFaculty of BiologyUniversitat de BarcelonaBarcelonaSpain
| | - Zheng Chang
- Department of Medical Epidemiology and BiostatisticsKarolinska InstitutetStockholmSweden
| | - Henrik Larsson
- School of Medical SciencesÖrebro UniversityÖrebroSweden
- Department of Medical Epidemiology and BiostatisticsKarolinska InstitutetStockholmSweden
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Larsson H. How can we improve the management of individuals with attention deficit hyperactivity disorders and co-occurring cardiometabolic disease? Expert Rev Cardiovasc Ther 2023; 21:725-728. [PMID: 37925740 DOI: 10.1080/14779072.2023.2279608] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Accepted: 11/01/2023] [Indexed: 11/07/2023]
Affiliation(s)
- Henrik Larsson
- School of Medical Sciences, Örebro University, Örebro, Sweden
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10
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Xu RH, Dai Y, Ng SSM, Zhang S, Dong D. Health-related quality of life in children and adolescents with Duchenne muscular dystrophy and comorbid attention-deficit hyperactivity disorder using propensity-score matching. J Affect Disord 2023; 333:147-153. [PMID: 37084967 DOI: 10.1016/j.jad.2023.04.036] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Revised: 03/26/2023] [Accepted: 04/14/2023] [Indexed: 04/23/2023]
Abstract
OBJECTIVE This study aimed to assess and compare the health-related quality of life (HRQoL) in a group of paediatric patients with Duchenne muscular dystrophy (DMD) with and without comorbid attention-deficit hyperactivity disorder (ADHD) diagnosis using a propensity-scoring method (PSM). METHOD Data used in this study obtained from a cross-sectional and web-based survey to investigate the HRQoL for paediatric DMD patients. Data about those who diagnosed with ADHD was elicited for analysis. PSM was used to ensure generation of 1:5 matched pairs with no differences in several background characteristics between DMD patients with and without ADHD. Wilcoxon rank sum test and Multiple logistic regression models were used to measure the differences in HRQoL between matched DMD patients with and without ADHD. RESULTS After PSM, 630 DMD patients were assigned to the 'No ADHD' group, and successfully matched with another 126 DMD patients in the ADHD comparison group. Compared to DMD patients without ADHD, those with ADHD were more likely to report having symptoms and side-effects. Additionally, paediatric DMD patients with ADHD reported a significantly lower HRQoL on the subscales of emotional, social, and school functioning as compared to those without ADHD. CONCLUSION This study demonstrated a higher burden of clinical symptoms, health service utilization, and psychosocial factors on HRQoL in DMD patients with ADHD compared to those without ADHD. Future studies using global data may provide meaningful comparisons with our results, and the efficacy of ADHD programs in DMD patients can be compared based on their HRQoL.
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Affiliation(s)
- Richard Huan Xu
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region
| | - Yi Dai
- Department of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Shamay S M Ng
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region
| | - Shuyang Zhang
- Department of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Dong Dong
- JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong Special Administrative Region.
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11
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Du R, Zhou Y, You C, Liu K, King DA, Liang ZS, Ranson JM, Llewellyn DJ, Huang J, Zhang Z. Attention-deficit/hyperactivity disorder and ischemic stroke: A Mendelian randomization study. Int J Stroke 2023; 18:346-353. [PMID: 35670701 DOI: 10.1177/17474930221108272] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
BACKGROUND Observational studies have found an association between attention-deficit/hyperactivity disorder (ADHD) and ischemic stroke. AIMS The purpose of this study was to investigate whether genetic liability to ADHD has a causal effect on ischemic stroke and its subtypes. METHODS In this two-sample Mendelian randomization (MR) study, genetic variants (nine single-nucleotide polymorphisms; P < 5 × 10-8) using as instrumental variables for the analysis was obtained from a genome-wide association study of ADHD with 19,099 cases and 34,194 controls. The outcome datasets for stroke and its subtypes were obtained from the MEGASTROKE consortium, with 40,585 cases and 406,111 controls. MR inverse variance-weighted method was conducted to investigate the effect of genetic liability to ADHD on ischemic stroke and its subtypes. Sensitivity analyses (median-based methods, MR-Egger, MR-robust adjusted profile scores, MR-pleiotropy residual sum and outlier) were also utilized to assess horizontal pleiotropy and remove outliers. Multivariable MR (MVMR) analyses were conducted to explore potential mediators. RESULTS Genetically determined ADHD (per 1 SD) was significantly associated with a higher risk of any ischemic stroke (AIS) (odds ratio (OR) = 1.15, 95% confidence interval (CI) = 1.05-1.25, P = 0.002) and large-artery atherosclerotic stroke (LAS) (OR = 1.40, 95% CI = 1.10-1.76, P = 0.005). The significant association was also found in sensitivity analyses and MVMR analyses. CONCLUSIONS Genetic liability to ADHD was significantly associated with an increased risk of AIS, especially LAS. The association between ADHD and LAS was independent of age of smoking initiation but mediated by coronary artery disease.
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Affiliation(s)
- Runming Du
- Department of Global Health, Peking University School of Public Health, Beijing, China
| | - Yi Zhou
- Department of Global Health, Peking University School of Public Health, Beijing, China
| | - Chong You
- Department of Biostatistics, Peking University School of Public Health, Beijing, China
| | - Kevin Liu
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
| | - Daniel A King
- Northwell Health Cancer Institute and Feinstein Institute of Research, Lake Success, NY, USA
| | - Zhi-Sheng Liang
- Department of Global Health, Peking University School of Public Health, Beijing, China
| | - Janice M Ranson
- College of Medicine and Health, University of Exeter, Exeter, UK
| | - David J Llewellyn
- College of Medicine and Health, University of Exeter, Exeter, UK.,Alan Turing Institute, London, UK
| | - Jie Huang
- School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen, Guangdong, China
| | - Zhenyu Zhang
- Department of Global Health, Peking University School of Public Health, Beijing, China.,Institute for Global Health and Development, Peking University, Beijing, China
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12
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da Silva BS, Grevet EH, Silva LCF, Ramos JKN, Rovaris DL, Bau CHD. An overview on neurobiology and therapeutics of attention-deficit/hyperactivity disorder. DISCOVER MENTAL HEALTH 2023; 3:2. [PMID: 37861876 PMCID: PMC10501041 DOI: 10.1007/s44192-022-00030-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/30/2022] [Accepted: 12/29/2022] [Indexed: 10/21/2023]
Abstract
Attention-Deficit/Hyperactivity Disorder (ADHD) is a prevalent psychiatric condition characterized by developmentally inappropriate symptoms of inattention and/or hyperactivity/impulsivity, which leads to impairments in the social, academic, and professional contexts. ADHD diagnosis relies solely on clinical assessment based on symptom evaluation and is sometimes challenging due to the substantial heterogeneity of the disorder in terms of clinical and pathophysiological aspects. Despite the difficulties imposed by the high complexity of ADHD etiology, the growing body of research and technological advances provide good perspectives for understanding the neurobiology of the disorder. Such knowledge is essential to refining diagnosis and identifying new therapeutic options to optimize treatment outcomes and associated impairments, leading to improvements in all domains of patient care. This review is intended to be an updated outline that addresses the etiological and neurobiological aspects of ADHD and its treatment, considering the impact of the "omics" era on disentangling the multifactorial architecture of ADHD.
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Affiliation(s)
- Bruna Santos da Silva
- ADHD and Developmental Psychiatry Programs, Hospital de Clínicas de Porto Alegre, Universidade Federal Do Rio Grande Do Sul, Porto Alegre, Brazil
- Department of Genetics and Graduate Program in Genetics and Molecular Biology, Instituto de Biociências, Universidade Federal Do Rio Grande Do Sul, Porto Alegre, Brazil
- Department of Physiology and Biophysics, Instituto de Ciencias Biomedicas Universidade de Sao Paulo, São Paulo, Brazil
- Laboratory of Physiological Genomics of Mental Health (PhysioGen Lab), Institute of Biomedical Sciences, University of Sao Paulo, São Paulo, Brazil
| | - Eugenio Horacio Grevet
- ADHD and Developmental Psychiatry Programs, Hospital de Clínicas de Porto Alegre, Universidade Federal Do Rio Grande Do Sul, Porto Alegre, Brazil
- Department of Psychiatry and Graduate Program in Psychiatry and Behavioral Sciences, Faculdade de Medicina, Universidade Federal Do Rio Grande Do Sul, Porto Alegre, Brazil
| | - Luiza Carolina Fagundes Silva
- ADHD and Developmental Psychiatry Programs, Hospital de Clínicas de Porto Alegre, Universidade Federal Do Rio Grande Do Sul, Porto Alegre, Brazil
- Department of Psychiatry and Graduate Program in Psychiatry and Behavioral Sciences, Faculdade de Medicina, Universidade Federal Do Rio Grande Do Sul, Porto Alegre, Brazil
| | - João Kleber Neves Ramos
- Department of Physiology and Biophysics, Instituto de Ciencias Biomedicas Universidade de Sao Paulo, São Paulo, Brazil
- Laboratory of Physiological Genomics of Mental Health (PhysioGen Lab), Institute of Biomedical Sciences, University of Sao Paulo, São Paulo, Brazil
| | - Diego Luiz Rovaris
- Department of Physiology and Biophysics, Instituto de Ciencias Biomedicas Universidade de Sao Paulo, São Paulo, Brazil
- Laboratory of Physiological Genomics of Mental Health (PhysioGen Lab), Institute of Biomedical Sciences, University of Sao Paulo, São Paulo, Brazil
| | - Claiton Henrique Dotto Bau
- ADHD and Developmental Psychiatry Programs, Hospital de Clínicas de Porto Alegre, Universidade Federal Do Rio Grande Do Sul, Porto Alegre, Brazil.
- Department of Genetics and Graduate Program in Genetics and Molecular Biology, Instituto de Biociências, Universidade Federal Do Rio Grande Do Sul, Porto Alegre, Brazil.
- Department of Psychiatry and Graduate Program in Psychiatry and Behavioral Sciences, Faculdade de Medicina, Universidade Federal Do Rio Grande Do Sul, Porto Alegre, Brazil.
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13
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Akingbuwa WA, Hammerschlag AR, Allegrini AG, Sallis H, Kuja-Halkola R, Rimfeld K, Lichtenstein P, Lundstrom S, Munafò MR, Plomin R, Nivard MG, Bartels M, Middeldorp CM. Multivariate analyses of molecular genetic associations between childhood psychopathology and adult mood disorders and related traits. Am J Med Genet B Neuropsychiatr Genet 2023; 192:3-12. [PMID: 36380638 PMCID: PMC7615008 DOI: 10.1002/ajmg.b.32922] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Revised: 09/07/2022] [Accepted: 10/18/2022] [Indexed: 11/17/2022]
Abstract
Ubiquitous associations have been detected between different types of childhood psychopathology and polygenic risk scores based on adult psychiatric disorders and related adult outcomes, indicating that genetic factors partly explain the association between childhood psychopathology and adult outcomes. However, these analyses in general do not take into account the correlations between the adult trait and disorder polygenic risk scores. This study aimed to further clarify the influence of genetic factors on associations between childhood psychopathology and adult outcomes by accounting for these correlations. Using a multivariate multivariable regression, we analyzed associations of childhood attention-deficit/hyperactivity disorder (ADHD), internalizing, and social problems, with polygenic scores (PGS) of adult disorders and traits including major depression, bipolar disorder, subjective well-being, neuroticism, insomnia, educational attainment, and body mass index (BMI), derived for 20,539 children aged 8.5-10.5 years. After correcting for correlations between the adult phenotypes, major depression PGS were associated with all three childhood traits, that is, ADHD, internalizing, and social problems. In addition, BMI PGS were associated with ADHD symptoms and social problems, while neuroticism PGS were only associated with internalizing problems and educational attainment PGS were only associated with ADHD symptoms. PGS of bipolar disorder, subjective well-being, and insomnia were not associated with any childhood traits. Our findings suggest that associations between childhood psychopathology and adult traits like insomnia and subjective well-being may be primarily driven by genetic factors that influence adult major depression. Additionally, specific childhood phenotypes are genetically associated with educational attainment, BMI and neuroticism.
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Affiliation(s)
- Wonuola A Akingbuwa
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - Anke R Hammerschlag
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
- Child Health Research Centre, the University of Queensland, Brisbane, Queensland, Australia
| | - Andrea G Allegrini
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Division of Psychology and Language Sciences, Department of Clinical, Educational and Health Psychology, University College London, London, UK
| | - Hannah Sallis
- School of Psychological Science, University of Bristol, Bristol, UK
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Centre for Academic Mental Health, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Ralf Kuja-Halkola
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Kaili Rimfeld
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Paul Lichtenstein
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Sebastian Lundstrom
- Centre for Ethics Law and Mental Health, Gillberg Neuropsychiatry Centre, University of Gothenburg, Gothenburg, Sweden
| | - Marcus R Munafò
- School of Psychological Science, University of Bristol, Bristol, UK
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- NIHR Biomedical Research Centre, University Hospitals Bristol NHS Foundation Trust, University of Bristol, Bristol, UK
| | - Robert Plomin
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Michel G Nivard
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Meike Bartels
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - Christel M Middeldorp
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Child Health Research Centre, the University of Queensland, Brisbane, Queensland, Australia
- Child and Youth Mental Health Service, Children's Health Queensland Hospital and Health Services, Brisbane, Queensland, Australia
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14
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Riglin L, Stergiakouli E. Mendelian randomisation studies of Attention Deficit Hyperactivity Disorder. JCPP ADVANCES 2022. [DOI: 10.1002/jcv2.12117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Affiliation(s)
- Lucy Riglin
- Division of Psychological Medicine and Clinical Neurosciences and MRC Centre for Neuropsychiatric Genetics and Genomics Cardiff University Cardiff UK
- Wolfson Centre for Young People's Mental Health Cardiff UK
| | - Evie Stergiakouli
- MRC Integrative Epidemiology Unit University of Bristol Bristol UK
- Population Health Sciences Bristol Medical School University of Bristol Bristol UK
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15
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Li L, Chang Z, Sun J, Garcia‐Argibay M, Du Rietz E, Dobrosavljevic M, Brikell I, Jernberg T, Solmi M, Cortese S, Larsson H. Attention-deficit/hyperactivity disorder as a risk factor for cardiovascular diseases: a nationwide population-based cohort study. World Psychiatry 2022; 21:452-459. [PMID: 36073682 PMCID: PMC9453905 DOI: 10.1002/wps.21020] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
Abstract
Accumulating evidence suggests a higher risk for cardiovascular diseases among individuals with mental disorders, but very little is known about the risk for overall and specific groups of cardiovascular diseases in people with attention-deficit/hyperactivity disorder (ADHD). To fill this knowledge gap, we investigated the prospective associations between ADHD and a wide range of cardiovascular diseases in adults. In a nationwide population-based cohort study, we identified 5,389,519 adults born between 1941 and 1983, without pre-existing cardiovascular diseases, from Swedish registers. The study period was from January 1, 2001 to December 31, 2013. Incident cardiovascular disease events were identified according to ICD codes. Hazard ratios (HR) with 95% confidence intervals (CI) were calculated using Cox proportional hazards regression model, with ADHD as a time-varying exposure. After an average 11.80 years of follow-up, 38.05% of individuals with ADHD versus 23.57% of those without ADHD had at least one diagnosis of cardiovascular disease (p<0.0001). ADHD was significantly associated with increased risk of any cardiovascular disease (HR=2.05, 95% CI: 1.98-2.13) after adjusting for sex and year of birth. Further adjustments for education level, birth country, type 2 diabetes mellitus, obesity, dyslipidemia, sleep problems and heavy smoking attenuated the association, which however remained significant (HR=1.84, 95% CI: 1.77-1.91). Further adjustment for psychiatric comorbidities attenuated but could not fully explain the association (HR=1.65, 95% CI: 1.59-1.71). The strongest associations were found for cardiac arrest (HR=2.28, 95% CI: 1.81-2.87), hemorrhagic stroke (HR=2.16, 95% CI: 1.68-2.77), and peripheral vascular disease/arteriosclerosis (HR=2.05, 95% CI: 1.76-2.38). Stronger associations were observed in males and younger adults, while comparable associations were found among individuals with or without psychotropic medications and family history of cardiovascular diseases. These data suggest that ADHD is an independent risk factor for a wide range of cardiovascular diseases. They highlight the importance of carefully monitoring cardiovascular health and developing age-appropriate and individualized strategies to reduce the cardiovascular risk in individuals with ADHD.
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Affiliation(s)
- Lin Li
- School of Medical SciencesÖrebro UniversityÖrebroSweden,Department of Medical Epidemiology and BiostatisticsKarolinska InstitutetStockholmSweden
| | - Zheng Chang
- Department of Medical Epidemiology and BiostatisticsKarolinska InstitutetStockholmSweden
| | - Jiangwei Sun
- Department of Medical Epidemiology and BiostatisticsKarolinska InstitutetStockholmSweden,Institute of Environmental MedicineKarolinska InstitutetStockholmSweden
| | | | - Ebba Du Rietz
- Department of Medical Epidemiology and BiostatisticsKarolinska InstitutetStockholmSweden
| | | | - Isabell Brikell
- Department of Medical Epidemiology and BiostatisticsKarolinska InstitutetStockholmSweden
| | - Tomas Jernberg
- Department of Clinical SciencesDanderyd University HospitalStockholmSweden
| | - Marco Solmi
- Department of PsychiatryUniversity of OttawaOttawaONCanada,Department of Mental HealthOttawa HospitalOttawaONCanada,Ottawa Hospital Research Institute (OHRI) Clinical Epidemiology ProgramUniversity of OttawaOttawaONCanada,Centre for Innovation in Mental Health ‐ Developmental Lab, School of PsychologyUniversity of Southampton, and NHS TrustSouthamptonUK
| | - Samuele Cortese
- Centre for Innovation in Mental Health ‐ Developmental Lab, School of PsychologyUniversity of Southampton, and NHS TrustSouthamptonUK,Hassenfeld Children's Hospital at NYU LangoneNew York University Child Study CenterNew York CityNYUSA,Division of Psychiatry and Applied Psychology, School of MedicineUniversity of NottinghamNottinghamUK
| | - Henrik Larsson
- School of Medical SciencesÖrebro UniversityÖrebroSweden,Department of Medical Epidemiology and BiostatisticsKarolinska InstitutetStockholmSweden
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16
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ADHD and its neurocognitive substrates: A two sample Mendelian randomization study. Transl Psychiatry 2022; 12:378. [PMID: 36085199 PMCID: PMC9463186 DOI: 10.1038/s41398-022-02139-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Revised: 08/17/2022] [Accepted: 08/24/2022] [Indexed: 11/28/2022] Open
Abstract
Attention-deficit/hyperactivity disorder (ADHD) is associated with a wide array of neural and cognitive features, and other psychiatric disorders, identified mainly through cross-sectional associations studies. However, it is unclear if the disorder is causally associated with these neurocognitive features. Here, we applied a two-sample bidirectional Mendelian randomization (MR) study to summary GWAS data to explore the presence and direction of a causal effect between ADHD and a range of neurocognitive features and other psychiatric disorders. The inverse variance weighted method was used in the main analysis, and two MR methods (MR-Egger, weighted median) were used for robustness checks. We found that genetic risk for ADHD was causally associated with a decreased area of lateral orbitofrontal cortex. Conversely, we found that brain volume and some features of intrinsic functional connectivity had causal effects on ADHD risk. Bidirectional causal links were found between ADHD and adult general intelligence, as well as depression and autistic spectrum disorders. Such work highlights the important ties between ADHD and general cognitive ability, and suggest some neural features, previously merely associated with the disorder, may play a causal role in its pathogenesis.
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17
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Langley K, Martin J, Thapar A. Genetics of Attention-Deficit Hyperactivity Disorder. Curr Top Behav Neurosci 2022; 57:243-268. [PMID: 35538303 DOI: 10.1007/7854_2022_338] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
Attention-Deficit Hyperactivity Disorder (ADHD) has long been recognized as being a highly heritable condition and our understanding of the genetic contributions to ADHD has grown over the past few decades. This chapter will discuss the studies that have examined its heritability and the efforts to identify specific genetic risk-variants at the molecular genetic level. We outline the various techniques that have been used to characterize genetic contributions to ADHD, describing what we have learnt so far, what there is still to learn and the methodologies that can be used to further our knowledge. In doing so we will discuss research into rare and common genetic variants, polygenic risk scores, and gene-environment interplay, while also describing what genetic studies have revealed about the biological processes involved in ADHD and what they have taught us about the overlap between ADHD and other psychiatric and somatic disorders. Finally, we will discuss the strengths and limitations of the current methodologies and clinical implications of genetic research to date.
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Affiliation(s)
- Kate Langley
- School of Psychology, Cardiff University, Cardiff, UK. .,MRC Centre for Psychiatric Genetics and Genomics, Cardiff University, Cardiff, UK.
| | - Joanna Martin
- MRC Centre for Psychiatric Genetics and Genomics, Cardiff University, Cardiff, UK.,Division of Psychological Medicine, School of Medicine, Cardiff University, Cardiff, UK.,Wolfson Centre for Young People's Mental Health, Cardiff University, Cardiff, UK
| | - Anita Thapar
- MRC Centre for Psychiatric Genetics and Genomics, Cardiff University, Cardiff, UK.,Division of Psychological Medicine, School of Medicine, Cardiff University, Cardiff, UK.,Wolfson Centre for Young People's Mental Health, Cardiff University, Cardiff, UK
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18
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Soler Artigas M, Sánchez-Mora C, Rovira P, Vilar-Ribó L, Ramos-Quiroga JA, Ribasés M. Mendelian randomization analysis for attention deficit/hyperactivity disorder: studying a broad range of exposures and outcomes. Int J Epidemiol 2022; 52:386-402. [PMID: 35690959 PMCID: PMC10114062 DOI: 10.1093/ije/dyac128] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Accepted: 05/26/2022] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Attention deficit/hyperactivity disorder (ADHD) is a highly prevalent neurodevelopmental disorder caused by a combination of genetic and environmental factors and is often thought as an entry point into a negative life trajectory, including risk for comorbid disorders, poor educational achievement or low income. In the present study, we aimed to clarify the causal relationship between ADHD and a comprehensive range of related traits. METHODS We used genome-wide association study (GWAS) summary statistics for ADHD (n = 53 293) and 124 traits related to anthropometry, cognitive function and intelligence, early life exposures, education and employment, lifestyle and environment, longevity, neurological, and psychiatric and mental health or personality and psychosocial factors available in the MR-Base database (16 067 ≤n ≤766 345). To investigate their causal relationship with ADHD, we used two-sample Mendelian randomization (MR) with a range of sensitivity analyses, and validated MR findings using causal analysis using summary effect estimates (CAUSE), aiming to avoid potential false-positive results. RESULTS Our findings strengthen previous evidence of a causal effect of ADHD liability on smoking and major depression, and are consistent with a causal effect on odds of decreased average total household income [odds ratio (OR) = 0.966, 95% credible interval (CrI) = (0.954, 0.979)] and increased lifetime number of sexual partners [OR = 1.023, 95% CrI = (1.013, 1.033)]. We also found evidence for a causal effect on ADHD for liability of arm predicted mass and weight [OR = 1.452, 95% CrI = (1.307, 1.614) and OR = 1.430, 95% CrI = (1.326, 1.539), respectively] and time spent watching television [OR = 1.862, 95% CrI = (1.545, 2.246)], and evidence for a bidirectional effect for age of first sexual intercourse [beta = -0.058, 95% CrI = (-0.072, -0.044) and OR = 0.413, 95% CrI = (0.372, 0.457), respectively], odds of decreased age completed full-time education [OR = 0.972, 95% CrI = (0.962, 0.981) and OR = 0.435, 95% CrI = (0.356, 0.533), respectively] and years of schooling [beta = -0.036, 95% CrI = (-0.048, -0.024) and OR = 0.458, 95% CrI = (0.411, 0.511), respectively]. CONCLUSIONS Our results may contribute to explain part of the widespread co-occurring traits and comorbid disorders across the lifespan of individuals with ADHD and may open new opportunities for developing preventive strategies for ADHD and for negative ADHD trajectories.
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Affiliation(s)
- María Soler Artigas
- Psychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addiction, Vall d'Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain.,Department of Mental Health, Hospital Universitari Vall d'Hebron, Barcelona, Spain.,Biomedical Network Research Centre on Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain.,Department of Genetics, Microbiology, and Statistics, Faculty of Biology, Universitat de Barcelona, Barcelona, Spain
| | - Cristina Sánchez-Mora
- Psychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addiction, Vall d'Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain.,Department of Mental Health, Hospital Universitari Vall d'Hebron, Barcelona, Spain.,Biomedical Network Research Centre on Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain.,Department of Genetics, Microbiology, and Statistics, Faculty of Biology, Universitat de Barcelona, Barcelona, Spain
| | - Paula Rovira
- Psychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addiction, Vall d'Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain.,Department of Mental Health, Hospital Universitari Vall d'Hebron, Barcelona, Spain.,Vicerectorat de Recerca, postdoctoral researcher Margarita Salas, Universitat de Barcelona, Barcelona, Spain.,Departament of Psychiatry, Faculty of Medicine, Universidad de Granada, Spain
| | - Laura Vilar-Ribó
- Psychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addiction, Vall d'Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain.,Department of Mental Health, Hospital Universitari Vall d'Hebron, Barcelona, Spain.,Biomedical Network Research Centre on Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
| | - Josep Antoni Ramos-Quiroga
- Psychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addiction, Vall d'Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain.,Department of Mental Health, Hospital Universitari Vall d'Hebron, Barcelona, Spain.,Biomedical Network Research Centre on Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain.,Department of Psychiatry and Forensic Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Marta Ribasés
- Psychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addiction, Vall d'Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain.,Department of Mental Health, Hospital Universitari Vall d'Hebron, Barcelona, Spain.,Biomedical Network Research Centre on Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain.,Department of Genetics, Microbiology, and Statistics, Faculty of Biology, Universitat de Barcelona, Barcelona, Spain
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19
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The role of ADHD genetic risk in mid-to-late life somatic health conditions. Transl Psychiatry 2022; 12:152. [PMID: 35399118 PMCID: PMC8995388 DOI: 10.1038/s41398-022-01919-9] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/11/2021] [Revised: 03/23/2022] [Accepted: 03/24/2022] [Indexed: 12/14/2022] Open
Abstract
Growing evidence suggests that ADHD, an early onset neurodevelopmental disorder, is associated with poor somatic health in adulthood. However, the mechanisms underlying these associations are poorly understood. Here, we tested whether ADHD polygenic risk scores (PRS) are associated with mid-to-late life somatic health in a general population sample. Furthermore, we explored whether potential associations were moderated and mediated by life-course risk factors. We derived ADHD-PRS in 10,645 Swedish twins born between 1911 and 1958. Sixteen cardiometabolic, autoimmune/inflammatory, and neurological health conditions were evaluated using self-report (age range at measure 42-88 years) and clinical diagnoses defined by International Classification of Diseases codes in national registers. We estimated associations of ADHD-PRS with somatic outcomes using generalized estimating equations, and tested moderation and mediation of these associations by four life-course risk factors (education level, body mass index [BMI], tobacco use, alcohol misuse). Results showed that higher ADHD-PRS were associated with increased risk of seven somatic outcomes (heart failure, cerebro- and peripheral vascular disease, obesity, type 1 diabetes, rheumatoid arthritis, and migraine) with odds ratios ranging 1.07 to 1.20. We observed significant mediation effects by education, BMI, tobacco use, and alcohol misuse, primarily for associations of ADHD-PRS with cardiometabolic outcomes. No moderation effects survived multiple testing correction. Our findings suggests that higher ADHD genetic liability confers a modest risk increase for several somatic health problems in mid-to-late life, particularly in the cardiometabolic domain. These associations were observable in the general population, even in the absence of medical treatment for ADHD, and appear to be in part mediated by life-course risk factors.
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Du Rietz E, Larsson H. Editorial: Attention-Deficit/Hyperactivity Disorder Polygenic Scores in Context: Interpretations, Implications, and Directions for Future Research. J Am Acad Child Adolesc Psychiatry 2021; 60:1178-1180. [PMID: 33775770 DOI: 10.1016/j.jaac.2021.03.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Accepted: 03/17/2021] [Indexed: 11/17/2022]
Abstract
During the past 15 years, genome-wide association studies (GWASs) have been instrumental for identifying common genetic variants that influence complex traits. The latest attention-deficit/hyperactivity disorder (ADHD) GWAS, published in 2019, identified for the first time 12 loci significantly associated with ADHD.1 Since then a large number of studies have used the summary statistics of this GWAS to calculate individual polygenic scores (PGSs) in independent genotyped samples to explore how the ADHD PGS associates with relevant outcomes. The study by Ronald et al.2 synthesized the available literature on ADHD PGS and concluded that the ADHD PGS is robust and reliable, but not yet useful in clinical practice.
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Affiliation(s)
- Ebba Du Rietz
- Dr. Du Rietz and Larsson are with Karolinska Institutet, Stockholm, Sweden. Dr. Larsson is also with the School of Medical Sciences, Örebro University, Örebro, Sweden.
| | - Henrik Larsson
- Dr. Du Rietz and Larsson are with Karolinska Institutet, Stockholm, Sweden. Dr. Larsson is also with the School of Medical Sciences, Örebro University, Örebro, Sweden
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21
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Arleevskaya M, Takha E, Petrov S, Kazarian G, Novikov A, Larionova R, Valeeva A, Shuralev E, Mukminov M, Bost C, Renaudineau Y. Causal risk and protective factors in rheumatoid arthritis: A genetic update. J Transl Autoimmun 2021; 4:100119. [PMID: 34522877 PMCID: PMC8424591 DOI: 10.1016/j.jtauto.2021.100119] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Accepted: 08/30/2021] [Indexed: 02/08/2023] Open
Abstract
The characterization of risk and protective factors in complex diseases such as rheumatoid arthritis (RA) has evolved from epidemiological studies, which test association, to the use of Mendelian randomization approaches, which test direct relationships. Indeed, direct associations with the mucosal origin of RA are retrieved with periodontal disease (Porphyromonas gingivalis and Aggregatibacter actinomycetemcomitans predominantly), interstitial lung involvement, tobacco smoking and air pollutants. Next, factors directly associated with an acquired immune response include genetic factors (HLA DRB1, PTPN22), capacity to produce anti-modified protein antibodies (AMPA), and relatives with a history of autoimmune diseases. Finally, factors can be also classified according to their direct capacity to interfere with the IL-6/CRP/sIL-IL6R proinflammatory pathway as risk factor (body fat, cardiometabolic factors, type 2 diabetes, depressive syndrome) or either as protective factors by controlling of sIL-6R levels (higher education level, and intelligence). Although some co-founders have been characterized (e.g. vitamin D, physical activity, cancer) the direct association with sex-discrepancy, pregnancy, and infections among other factors remains to be better explored.
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Affiliation(s)
- M Arleevskaya
- Central Research Laboratory, Kazan State Medical Academy, Kazan, Russia.,Institute of Fundamental Medicine and Biology, Kazan (Volga Region) Federal University, Kazan, Russia
| | - E Takha
- Central Research Laboratory, Kazan State Medical Academy, Kazan, Russia
| | - S Petrov
- Central Research Laboratory, Kazan State Medical Academy, Kazan, Russia.,Institute of Environmental Sciences, Kazan (Volga Region) Federal University, Kazan, Russia
| | - G Kazarian
- Central Research Laboratory, Kazan State Medical Academy, Kazan, Russia
| | - A Novikov
- Sobolev Institute of Mathematics, Siberian Branch of Russian Academy of Science, Russia
| | - R Larionova
- Central Research Laboratory, Kazan State Medical Academy, Kazan, Russia.,Institute of Fundamental Medicine and Biology, Kazan (Volga Region) Federal University, Kazan, Russia
| | - A Valeeva
- Central Research Laboratory, Kazan State Medical Academy, Kazan, Russia
| | - E Shuralev
- Central Research Laboratory, Kazan State Medical Academy, Kazan, Russia.,Institute of Environmental Sciences, Kazan (Volga Region) Federal University, Kazan, Russia.,Kazan State Academy of Veterinary Medicine Named After N.E. Bauman, Kazan, Russia
| | - M Mukminov
- Central Research Laboratory, Kazan State Medical Academy, Kazan, Russia.,Institute of Environmental Sciences, Kazan (Volga Region) Federal University, Kazan, Russia
| | - C Bost
- CHU Toulouse, INSERM U1291, CNRS U5051, University Toulouse III, Toulouse, France
| | - Y Renaudineau
- Central Research Laboratory, Kazan State Medical Academy, Kazan, Russia.,CHU Toulouse, INSERM U1291, CNRS U5051, University Toulouse III, Toulouse, France
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