http://orcid.org/0000-0002-4602-4388
Figures
Abstract
Attention-deficit/hyperactivity disorder (ADHD) is often comorbid with other psychiatric conditions in adults. Yet, less is known about its relationship with common metabolic disorders and how sex and ageing affect the overall comorbidity patterns of adult ADHD. We aimed to examine associations of adult ADHD with several common psychiatric and metabolic conditions. Through the linkage of multiple Swedish national registers, 5,551,807 adults aged 18 to 64 years and living in Sweden on December 31, 2013 were identified and assessed for clinical diagnoses of adult ADHD, substance use disorder (SUD), depression, bipolar disorder, anxiety, type 2 diabetes mellitus (T2DM), and hypertension. Logistic regression models and regression standardization method were employed to obtain estimates of prevalence, prevalence difference (PD), and prevalence ratio (PR). All comorbid conditions of interest were more prevalent in adults with ADHD (3.90% to 44.65%) than in those without (0.72% to 4.89%), with the estimated PRs being over nine for psychiatric conditions (p < 0.001) and around two for metabolic conditions (p < 0.001). Sex differences in the prevalence of comorbidities were observed among adults with ADHD. Effect modification by sex was detected on the additive scale and/or multiplicative scale for the associations of adult ADHD with all comorbidities. ADHD remained associated with all comorbidities in older adults aged 50 to 64 when all conditions were assessed from age 50 onwards. The comorbidity patterns of adult ADHD underscore the severity and clinical complexity of the disorder. Clinicians should remain vigilant for a wide range of psychiatric and metabolic problems in ADHD affected adults of all ages and both sexes.
Citation: Chen Q, Hartman CA, Haavik J, Harro J, Klungsøyr K, Hegvik T-A, et al. (2018) Common psychiatric and metabolic comorbidity of adult attention-deficit/hyperactivity disorder: A population-based cross-sectional study. PLoS ONE 13(9): e0204516. https://doi.org/10.1371/journal.pone.0204516
Editor: Kenji Hashimoto, Chiba Daigaku, JAPAN
Received: May 11, 2018; Accepted: September 10, 2018; Published: September 26, 2018
Copyright: © 2018 Chen et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: The data underlying this study contain sensitive personal information and therefore cannot be made freely available as they are subject to secrecy in accordance with the Swedish Public Access to Information and Secrecy Act. Data can be made available to researchers who apply for approval by the Swedish Central Ethical Review Board (kansli@cepn.se). Requests for data can be made to the Department of Medical Epidemiology and Biostatistics in Karolinska Institutet (internservice@meb.ki.se).
Funding: This work was supported by Shire International GmbH. Although employees of the Sponsor were involved in the editing and fact checking of information, the content of this manuscript, the design of the work, the interpretation of the data, and the decision to submit the manuscript for publication was made by the authors independently. This work was also supported by the Swedish Research Council (grant #2014-3831), the Swedish Initiative for Research on Microdata in the Social And Medical Sciences (SIMSAM) framework (grant #340-2013-5867), the European Union’s Horizon 2020 research and innovation programme (grant #667302). Dr. Faraone also receives support from the K.G. Jebsen Centre for Research on Neuropsychiatric Disorders, University of Bergen, Bergen, Norway, the European Union’s Seventh Framework Programme for research, technological development and demonstration (grant #602805), the European Union’s Horizon 2020 research and innovation programme under grant agreements (grant #728018), and National Institute of Mental Health (grant #5R01MH101519 and U01 MH109536-01). Dr. Dalsgaard also receives support from Aarhus University Foundation Associate Professor Starting Grant (grant #AUFF-E-2015-FLS-8-61) and the Novo Nordisk Foundation (grant #NNF 22018). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: In the past year, Dr. Faraone received income, potential income, travel expenses continuing education support and/or research support from Otsuka, Lundbeck, KenPharm, Rhodes, Arbor, Ironshore, Shire, Akili Interactive Labs, CogCubed, Alcobra, VAYA, Sunovion, Genomind and NeuroLifeSciences. With his institution, he has US patent US20130217707 A1 for the use of sodium-hydrogen exchange inhibitors in the treatment of ADHD. Dr. Larsson has served as a speaker for Eli-Lilly and has received research grants from Shire. Dr. Haavik has served as a speaker for Eli-Lilly, HB Pharma and Shire. The other authors declare no competing interests. This does not alter our adherence to PLOS ONE policies on sharing data and materials.
Introduction
Attention-deficit/hyperactivity disorder (ADHD) is a common childhood-onset neuropsychiatric disorder that often persists into later life [1]. The prevalence of ADHD has been estimated to be 2.5–5% in adults [2, 3].
Clinical studies have documented that adults with ADHD tend to suffer from psychiatric disorders such as substance use disorder (SUD), depression, bipolar disorder, and anxiety [4, 5]. Most of these studies, however, were based on small samples and non-standard assessment approaches for either ADHD or the psychiatric conditions. Moreover, at least three important questions remain to be addressed. First, it is unclear whether clinically diagnosed adult ADHD is associated with common metabolic conditions, such as type 2 diabetes mellitus (T2DM) and hypertension. Despite population-based evidence for an association between ADHD and T2DM in children and adolescents [6], conclusions in adults remain uncertain [7]. With regard to comorbid hypertension, the largest study to date reported an association between three or more self-reported hyperactive-impulsive symptoms and hypertension in young adults [8]. Clinical assessment of adult ADHD was, however, unavailable in the study. Second, prior studies on sex differences in the comorbidity patterns of adult ADHD were mainly performed in small clinical samples [9, 10], providing no evidence supporting sex differences in the patterns. To ensure sufficient statistical power for such investigation, a large sample of adults is needed. Third, although ADHD symptoms seem to persist even into senior age [11, 12] and remain associated with SUD, depression, and anxiety [13, 14], comorbidity rates in elderly patients with ADHD have not been thoroughly investigated in a large representative sample.
In this population-based cross-sectional study, we sought to provide a broader perspective on the comorbidity patterns of adult ADHD by estimating associations of adult ADHD with several common psychiatric and metabolic conditions, using data from the Swedish national registers. Specifically, we aimed to replicate previously reported associations of adult ADHD with psychiatric conditions, including SUD, depression, bipolar disorder, and anxiety, and explore associations with metabolic conditions, in particular T2DM and hypertension. We then assessed sex differences in these associations, and examined the comorbidity patterns of adult ADHD in individuals aged 50 to 64 years.
Materials and methods
Data sources
All residents in Sweden are assigned a unique personal identity number that allows for large-scale linkage across the Swedish national registers [15]. The Total Population Register was established in 1968 and contains information on births, deaths, and migrations [16]. The Swedish National Patient Register covers somatic inpatient care since 1968 and psychiatric inpatient care since 1973, with complete national coverage achieved since 1987 (1973: 86%, 1986:98%) [17]. Since 2001 the register also covers approximately 80% of outpatient visits including day surgery and psychiatric care from both private and public caregivers. Primary care (e.g. general practitioners) is not yet covered in the register. The study was approved by the Regional Ethical Review Board in Stockholm, Sweden (registration number 2013/862-31/5).
Study population
The study population consisted of 5,551,807 adults aged 18 to 64 years and living in Sweden on December 31, 2013, who were identified from the Swedish Total Population Register. A subgroup of 1,665,938 adults aged 50 to 64 were selected for exploring the comorbidity patterns of adult ADHD in older adults.
Ascertainment of adult ADHD and comorbidities
Data on diagnoses of adult ADHD and comorbidities under study were retrieved from the Swedish National Patient Register [17]. Ascertainment of adult ADHD was based on presence of at least one diagnosis of ADHD (ICD-9: 314; ICD-10: F90) between age 18 and 64. Similarly, ascertainment of each comorbid condition was based on presence of at least one diagnosis of the condition between age 18 and 64. In the current study, we considered four psychiatric conditions (SUD, depression, bipolar disorder, and anxiety) and two metabolic conditions (T2DM and hypertension). ICD codes for all conditions can be found in S1 Table.
Statistical analysis
First, we estimated prevalence of each comorbid condition in adults with and without ADHD, as well as the corresponding prevalence ratio (PR), using logistic regression models and regression standardization method [18]. The models were adjusted for two categorical covariates, sex and age in years. For T2DM and hypertension, we conducted additional analyses restricted to individuals without SUD, depression, bipolar disorder, and anxiety.
Second, we tested the presence of effect measure modification (hereinafter referred to as effect modification) by sex on the observed associations. We began with estimating sex-stratified PD for each comorbid condition, comparing adults with ADHD to those without. PD thus reflects the absolute prevalence increase of a comorbid condition associated with ADHD. To assess effect modification by sex on the additive PD scale for the associations, we calculated difference in PD between females and males as
Where Pij is the prevalence of a comorbid condition in the stratum of sex i and adult ADHD status j, with i = 0 denoting male, i = 1 denoting female, j = 0 denoting absence of adult ADHD, j = 1 denoting presence of adult ADHD. Essentially, difference in PD reflects whether the joint effect of both female sex and adult ADHD on the prevalence difference scale is different (difference in PD ≠ 0) from the sum of the effects of female sex alone and adult ADHD alone. Difference in PD = 0 indicates no effect modification by sex on the additive PD scale. Next, we estimated sex-stratified PR for each comorbid condition, comparing adults with ADHD to those without. To evaluate whether the associations were modified by sex on the multiplicative PR scale, we calculated ratio of PR in females to PR in males for the comorbid condition as
Ratio of PRs reflects whether the joint effect of female sex and adult ADHD on the PR scale is different (ratio of PRs ≠ 1) from the product of the effects of female sex alone and adult ADHD alone. Ratio of PRs = 1 indicates no effect modification by sex on the multiplicative PR scale. Despite assessment of effect modification by sex on two selected scales in the current study, other scales might be of biological importance as well. For an association of interest, effect modification by sex could be present on any scale but not necessarily all. Nevertheless, assessing additive effect modification is considered important for identifying a target group for intervention and thus more relevant to public health decision-making [19]. Logistic regression models and regression standardization method [18] were used to obtain estimates of PD, difference in PD, PR, ratio of PRs, and 95% CI. The analyses were adjusted for age in years.
Finally, we explored the associations among older adults aged 50 to 64, with diagnoses of all conditions being assessed from age 50 onwards. The analyses were adjusted for sex and age in years.
Robust standard errors were calculated to construct 95% confidence intervals (CIs), accounting for data clustering within the same families. The significance level for all tests was set at p < .05, two-tailed. SAS software version 9.4 (SAS Institute Inc., Cary, NC) was used for data mining. R software version 3.4.1 [20] was used for statistical analyses.
Results
The study population comprised 5,551,807 adults (49.19% females) aged 18 to 64 years (Mean [SD] age: 40.55 [13.49] years) and living in Sweden on December 31, 2013, of whom 61,129 (1.10%) were diagnosed with ADHD at some point in their adult life. More descriptive information on the distribution of sex, age, and number of psychiatric and metabolic conditions by adult ADHD status is shown in Table 1.
Associations of adult ADHD with psychiatric and metabolic conditions
The prevalence estimates of SUD (35.12%), depression (42.28%), and anxiety (44.65%) were more than nine times higher in adults with ADHD than in those without (Table 2). Bipolar disorder, though relatively rare in the general adult population (0.72%), was highly prevalent in adults with ADHD (14.29%), giving a PR of 19.96. Adults with ADHD showed an increased prevalence of T2DM (3.90%) and hypertension (8.51%) compared to those without ADHD, with PRs being 2.41 and 1.90, respectively (Table 2). All associations were still statistically significant when the analyses were stratified by sex (Table 3). Furthermore, when the analyses were restricted to individuals without SUD, depression, bipolar disorder, and anxiety, adult ADHD remained significantly associated with T2MD (PR: 2.11, 95% CI: 1.79–2.42) and hypertension (PR: 1.72, 95% CI: 1.56–1.89).
Sex differences in prevalence of comorbidities among adults with ADHD
Among adults with ADHD, depression, bipolar disorder, and anxiety were more prevalent in females than in males, whereas SUD, T2DM, and hypertension were more prevalent in males than in females (Fig 1). The most common comorbidity among females with adult ADHD was anxiety, followed by depression, SUD, bipolar disorder, hypertension, and T2DM. The most common comorbidity among males with adult ADHD was SUD, followed by anxiety, depression, bipolar disorder, hypertension, and T2DM (Fig 1).
Adult ADHD and comorbid conditions were assessed between age 18 and 64.
Additive effect modification by sex
We observed additive modifying effects of sex on the associations of adult ADHD with all comorbidities except T2DM (Table 3). For depression, bipolar disorder, and anxiety, adult ADHD was associated with larger absolute prevalence increase (measured by PD) in females than in males (Table 3). For SUD and hypertension, adult ADHD was associated with larger absolute prevalence increase males than in females (Table 3).
Multiplicative effect modification by sex
Multiplicative effect modification by sex was detected for the associations of adult ADHD with all comorbidities except hypertension (Table 3). Females showed more elevated PRs for SUD, bipolar disorder, and T2DM compared to males, while males had higher PRs for depression and anxiety than females (Table 3).
Comorbidity of ADHD in older adults
When diagnoses of adult ADHD and comorbidities under study were assessed from age 50 onwards, the prevalence of ADHD was 0.29% in adults aged 50 to 64. The associations of adult ADHD with all comorbidities remained statistically significant (Table 4).
Discussion
This large population-based investigation of common psychiatric and metabolic comorbidity of adult ADHD generated three main findings. First, SUD, depression, bipolar disorder, anxiety, T2DM, and hypertension were more prevalent in adults with clinically diagnosed ADHD than in those without. Second, effect modification by sex was detected on the additive and/or multiplicative scales for the associations of adult ADHD with all comorbidities. Finally, ADHD remained associated with all comorbidities in adults aged 50 to 64, when all conditions were assessed from age 50 onwards.
Our findings reinforce the associations of adult ADHD with SUD, depression, bipolar disorder, and anxiety found in prior studies [5, 21, 22]. The observed prevalence estimates of SUD (35.12%), depression (42.28%), bipolar disorder (14.29%), and anxiety (44.65%) in adults with ADHD were similar to previously reported [21, 23–25]. Although the mechanisms underlying these associations are not well understood, we know from both epidemiologic and molecular genetic studies that a shared genetic predisposition might account for the co-existence of two or more psychiatric conditions [26–28]. In addition, individuals with ADHD may experience increased difficulties as the demands of life increase, which may contribute to the development of depression and anxiety [29].
Our findings about associations of clinically diagnosed ADHD with T2DM and hypertension might reflect health-risk behaviors among adult patients with comorbid ADHD. As others have noted [30], inattention, disinhibition, and disorganization associated with ADHD could make it difficult for patients to adhere to treatment regimens for metabolic disorders. ADHD-associated deficits in delayed discounting [31] and reinforcement sensitivity [32] could impair the future-oriented activities needed to promote physical health. It is also conceivable that ADHD and metabolic disorders share underlying causes [7], such as oxidative stress [33], immune dysfunction,[34] and inflammation [35]. The association between adult ADHD and hypertension is especially intriguing, as one of the leading animal models of ADHD is the spontaneously hypertensive rat [36] and two antihypertensive drugs, clonidine [37] and guanfacine [38], are efficacious for treatment of ADHD. Yet, stimulant treatment for ADHD is associated with increased systolic blood pressure [39], and it is unclear whether the association between adult ADHD and hypertension observed in the current study was mediated by stimulant treatment for ADHD. The topic deserves further investigation in a separate study. In addition, smoking and obesity are associated with ADHD [40, 41], while they also contribute to insulin resistance [42, 43], a fundamental component of T2DM etiology, and hypertension [44, 45]. This may serve as yet another explanation for the associations of ADHD with T2DM and hypertension.
In contrast to our findings, the prevalence estimates of hypertension or other cardiovascular diseases were similar between adults with ADHD and controls in a study based on U.S. health care claims [46]. The discrepancy between their results and ours could to some degree be attributed to differences in diagnostic criteria for ADHD; Diagnostic and Statistical Manual of Mental Disorders (DSM) criteria used in the U.S. are not as strict as the ICD criteria used in Sweden. Another potential explanation could be that patients with adult ADHD and their family members are overrepresented in unemployment and thus less likely to be covered by employer-sponsored health insurance [46], effectively introducing bias to the estimates in their study.
Among adults with ADHD, we found that the prevalence estimates of depression, bipolar disorder, and anxiety were higher in females than in males, whereas the prevalence estimates of SUD, T2DM, and hypertension were higher in males than in females. The top three comorbidities of adult ADHD were all psychiatric conditions, namely, SUD, depression, and anxiety, with the most common condition being anxiety in females and SUD in males. T2DM is the least common comorbidity in both females and males with ADHD. Unlike prior studies showing no evident sex differences in associations between adult ADHD and psychiatric comorbidities [9, 10], we detected effect modification by sex on the additive scale and/or multiplicative scale for the associations of adult ADHD with all psychiatric and metabolic comorbidities of interest. When sex did not act as an effect modifier on one scale, it could still do on the other. Without a more detailed pathophysiological understanding of an association, it is difficult to speculate which scale is more biologically relevant. Hence, studies examining sex differences exclusively on a multiplicative scale might overlook key information concerning sex-specific mechanisms. There is general consensus among epidemiologists that assessing additive effect modification is most appropriate for public health decision-making [19]. In the current study, while females had higher baseline prevalence of depression, bipolar disorder, and anxiety than males, adult ADHD was associated with larger absolute prevalence increase for these comorbidities in females than in males. Provided that these comorbidities could be prevented or mitigated through early detection and proper treatment of ADHD, targeting females with ADHD could increase the efficiency of prevention for these conditions. Similarly, targeting males with ADHD could increase the efficiency of prevention for SUD and hypertension. In addition, more research is needed to explore whether the sex differences in absolute prevalence, PD, and PR reflect sex-specific biological mechanisms underlying the associations.
Our findings about comorbidity of ADHD in older adults (50 to 64 years) provide a large-scale corroboration of previous findings from a few available studies on this topic. One small study of adults aged 60 to 94 years showed excess risk of depression and anxiety symptoms in those with ADHD compared to those without [13]. Another small pilot study of adults aged 60 to 85 years reported elevated rates of SUD, mood disorders and anxiety disorders in individuals with ADHD compared to controls [14]. In the current study, despite a small proportion of adults (0.29%) continuing to receive ADHD diagnosis at age 50 or older, associations with ADHD were not limited to SUD, depression, and anxiety, but also bipolar disorder, T2DM, and hypertension. Taken together, these findings highlight the need for more research in older adults, even in those older than 65 years. Given that treatments for ADHD are effective in improving ADHD symptoms, it is possible that such treatment may have a positive impact on the psychiatric and metabolic outcomes in the aging population.
It should be acknowledged that the current study was subject to certain limitations. First, ADHD was generally under-diagnosed in adults and largely overlooked in the older group (aged 45 to 64 years by the end of 2013) primarily because ADHD as a diagnostic category was rarely considered for adults in Sweden before 2002. Patients treated in primary care or failing to seek medical care were not covered by the National Patient Register. Consequently, the study could not avoid a certain amount of false negatives, giving rise to an underestimation of the associations. Second, all conditions under study were assessed via registered ICD diagnoses. Although differences in ICDs could lead to different estimates of point prevalence, patients diagnosed with these conditions tended to represent relatively severe cases and have more frequent visits to clinicians, which might induce detection bias and overestimation of the associations. Despite the first and second limitations, the true associations are still likely to be statistically significant given the magnitude of the estimates. Third, although ADHD is a persistent condition, its onset by diagnostic criteria typically precedes the onset of the comorbidities. Further, individuals who received the first diagnosis of ADHD in adulthood are likely to be those who were undiagnosed and untreated in childhood. However, due to a lack of data on outpatient specialty care before 2001 and primary care, we could not determine whether individuals with a diagnosis of ADHD in adulthood had ever been diagnosed in childhood, or deduce the extent to which the development of comorbidities was related to delay in detection and management of childhood ADHD symptoms. Neither could we infer the temporal order of the onsets of the comorbidities. The intriguing question deserves thorough investigation in future longitudinal research. Fourth, in the current study, 83.5% of all adults with an ADHD diagnosis in the National Patient Register had at least one prescription of ADHD medication. However, the Prescribed Drug Register was first introduced in July 2005, which makes it difficult to infer whether the initiation of pharmacological treatment for ADHD preceded the first diagnoses of comorbid conditions. In addition, information on non-pharmacological treatment is not available in the registers. Future research should therefore address the role of pharmacological as well as non-pharmacological treatment for ADHD using appropriate study designs.
In conclusion, the comorbidity patterns of adult ADHD underscore the severity and clinical complexity of the disorder. Clinicians should remain vigilant for a wide range of psychiatric and metabolic problems in ADHD affected adults of all ages and both sexes.
Supporting information
S1 Table. International Classification of Diseases (ICD) codes (Swedish version) for ADHD and comorbidities.
https://doi.org/10.1371/journal.pone.0204516.s001
(DOCX)
References
- 1. Faraone SV, Asherson P, Banaschewski T, Biederman J, Buitelaar JK, Ramos-Quiroga JA, et al. Attention-deficit/hyperactivity disorder. Nat Rev Dis Primers. 2015;1:15020. pmid:27189265.
- 2. Simon V, Czobor P, Balint S, Meszaros A, Bitter I. Prevalence and correlates of adult attention-deficit hyperactivity disorder: meta-analysis. Br J Psychiatry. 2009;194(3):204–11. pmid:19252145.
- 3. Willcutt EG. The prevalence of DSM-IV attention-deficit/hyperactivity disorder: a meta-analytic review. Neurotherapeutics. 2012;9(3):490–9. Epub 2012/09/15. pmid:22976615.
- 4. McGough JJ, Smalley SL, McCracken JT, Yang M, Del’Homme M, Lynn DE, et al. Psychiatric comorbidity in adult attention deficit hyperactivity disorder: findings from multiplex families. Am J Psychiatry. 2005;162(9):1621–7. pmid:16135620.
- 5. van de Glind G, Konstenius M, Koeter MW, van Emmerik-van Oortmerssen K, Carpentier PJ, Kaye S, et al. Variability in the prevalence of adult ADHD in treatment seeking substance use disorder patients: results from an international multi-center study exploring DSM-IV and DSM-5 criteria. Drug Alcohol Depend. 2014;134:158–66. Epub 2013/10/26. pmid:24156882.
- 6. Chen HJ, Lee YJ, Yeh GC, Lin HC. Association of attention-deficit/hyperactivity disorder with diabetes: a population-based study. Pediatr Res. 2013;73(4 Pt 1):492–6. Epub 2013/01/19. pmid:23329200.
- 7. Instanes JT, Klungsoyr K, Halmoy A, Fasmer OB, Haavik J. Adult ADHD and Comorbid Somatic Disease: A Systematic Literature Review. J Atten Disord. 2016. pmid:27664125.
- 8. Fuemmeler BF, Ostbye T, Yang C, McClernon FJ, Kollins SH. Association between attention-deficit/hyperactivity disorder symptoms and obesity and hypertension in early adulthood: a population-based study. Int J Obes (Lond). 2011;35(6):852–62. pmid:20975727.
- 9. Biederman J, Faraone SV, Spencer T, Wilens T, Mick E, Lapey KA. Gender differences in a sample of adults with attention deficit hyperactivity disorder. Psychiatry Res. 1994;53(1):13–29. Epub 1994/07/01. pmid:7991729.
- 10. Biederman J, Faraone SV, Monuteaux MC, Bober M, Cadogen E. Gender effects on attention-deficit/hyperactivity disorder in adults, revisited. Biol Psychiatry. 2004;55(7):692–700. Epub 2004/03/25. pmid:15038997.
- 11. Michielsen M, Semeijn E, Comijs HC, van de Ven P, Beekman AT, Deeg DJ, et al. Prevalence of attention-deficit hyperactivity disorder in older adults in The Netherlands. Br J Psychiatry. 2012;201(4):298–305. Epub 2012/08/11. pmid:22878132.
- 12. Guldberg-Kjar T, Sehlin S, Johansson B. ADHD symptoms across the lifespan in a population-based Swedish sample aged 65 to 80. Int Psychogeriatr. 2013;25(4):667–75. Epub 2012/12/15. pmid:23237190.
- 13. Michielsen M, Comijs HC, Semeijn EJ, Beekman AT, Deeg DJ, Sandra Kooij JJ. The comorbidity of anxiety and depressive symptoms in older adults with attention-deficit/hyperactivity disorder: a longitudinal study. J Affect Disord. 2013;148(2–3):220–7. Epub 2012/12/27. pmid:23267726.
- 14. Philipp-Wiegmann F, Retz-Junginger P, Retz W, Rosler M. The intraindividual impact of ADHD on the transition of adulthood to old age. Eur Arch Psychiatry Clin Neurosci. 2016;266(4):367–71. Epub 2015/10/07. pmid:26438010.
- 15. Ludvigsson JF, Otterblad-Olausson P, Pettersson BU, Ekbom A. The Swedish personal identity number: possibilities and pitfalls in healthcare and medical research. Eur J Epidemiol. 2009;24(11):659–67. Epub 2009/06/09. pmid:19504049.
- 16. Ludvigsson JF, Almqvist C, Bonamy AK, Ljung R, Michaelsson K, Neovius M, et al. Registers of the Swedish total population and their use in medical research. Eur J Epidemiol. 2016;31(2):125–36. Epub 2016/01/16. pmid:26769609.
- 17. Ludvigsson JF, Andersson E, Ekbom A, Feychting M, Kim JL, Reuterwall C, et al. External review and validation of the Swedish national inpatient register. BMC Public Health. 2011;11:450. pmid:21658213.
- 18. Sjolander A. Regression standardization with the R package stdReg. Eur J Epidemiol. 2016;31(6):563–74. Epub 2016/05/18. pmid:27179798.
- 19. Knol MJ, VanderWeele TJ. Recommendations for presenting analyses of effect modification and interaction. Int J Epidemiol. 2012;41(2):514–20. Epub 2012/01/19. pmid:22253321.
- 20.
R Core Team. R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing; 2017.
- 21. Klassen LJ, Katzman MA, Chokka P. Adult ADHD and its comorbidities, with a focus on bipolar disorder. J Affect Disord. 2010;124(1–2):1–8. Epub 2009/08/18. pmid:19683348.
- 22. Asherson P, Buitelaar J, Faraone SV, Rohde LA. Adult attention-deficit hyperactivity disorder: key conceptual issues. Lancet Psychiatry. 2016;3(6):568–78. Epub 2016/05/18. pmid:27183901.
- 23. Kessler RC, Adler L, Barkley R, Biederman J, Conners CK, Demler O, et al. The prevalence and correlates of adult ADHD in the United States: results from the National Comorbidity Survey Replication. Am J Psychiatry. 2006;163(4):716–23. Epub 2006/04/06. pmid:16585449.
- 24. Jacob CP, Romanos J, Dempfle A, Heine M, Windemuth-Kieselbach C, Kruse A, et al. Co-morbidity of adult attention-deficit/hyperactivity disorder with focus on personality traits and related disorders in a tertiary referral center. Eur Arch Psychiatry Clin Neurosci. 2007;257(6):309–17. Epub 2007/04/03. pmid:17401730.
- 25. Roy A, Oldehinkel AJ, Verhulst FC, Ormel J, Hartman CA. Anxiety and disruptive behavior mediate pathways from attention-deficit/hyperactivity disorder to depression. J Clin Psychiatry. 2014;75(2):e108–13. Epub 2014/03/08. pmid:24602257.
- 26. Faraone SV, Biederman J, Wozniak J. Examining the comorbidity between attention deficit hyperactivity disorder and bipolar I disorder: a meta-analysis of family genetic studies. Am J Psychiatry. 2012;169(12):1256–66. Epub 2012/12/06. pmid:23212057.
- 27. Lee SH, Ripke S, Neale BM, Faraone SV, Purcell SM, Perlis RH, et al. Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs. Nat Genet. 2013;45(9):984–94. Epub 2013/08/13. pmid:23933821.
- 28. van Hulzen KJE, Scholz CJ, Franke B, Ripke S, Klein M, McQuillin A, et al. Genetic Overlap Between Attention-Deficit/Hyperactivity Disorder and Bipolar Disorder: Evidence From Genome-wide Association Study Meta-analysis. Biol Psychiatry. 2017;82(9):634–41. Epub 2016/11/29. pmid:27890468.
- 29. McIntosh D, Kutcher S, Binder C, Levitt A, Fallu A, Rosenbluth M. Adult ADHD and comorbid depression: A consensus-derived diagnostic algorithm for ADHD. Neuropsychiatr Dis Treat. 2009;5:137–50. Epub 2009/06/27. pmid:19557108.
- 30. Spencer TJ, Faraone SV, Tarko L, McDermott K, Biederman J. Attention-deficit/hyperactivity disorder and adverse health outcomes in adults. J Nerv Ment Dis. 2014;202(10):725–31. Epub 2014/09/12. pmid:25211634.
- 31. Paloyelis Y, Asherson P, Mehta MA, Faraone SV, Kuntsi J. DAT1 and COMT effects on delay discounting and trait impulsivity in male adolescents with attention deficit/hyperactivity disorder and healthy controls. Neuropsychopharmacology. 2010;35(12):2414–26. Epub 2010/08/26. pmid:20736997.
- 32. Luman M, Tripp G, Scheres A. Identifying the neurobiology of altered reinforcement sensitivity in ADHD: a review and research agenda. Neurosci Biobehav Rev. 2010;34(5):744–54. Epub 2009/12/01. pmid:19944715.
- 33. Joseph N, Zhang-James Y, Perl A, Faraone SV. Oxidative Stress and ADHD: A Meta-Analysis. Journal of attention disorders. 2015;19(11):915–24. Epub 2013/11/16. pmid:24232168.
- 34. Nielsen PR, Benros ME, Dalsgaard S. Associations Between Autoimmune Diseases and Attention-Deficit/Hyperactivity Disorder: A Nationwide Study. J Am Acad Child Adolesc Psychiatry. 2017;56(3):234–40.e1. Epub 2017/02/22. pmid:28219489.
- 35. Donev R, Thome J. Inflammation: good or bad for ADHD? Atten Defic Hyperact Disord. 2010;2(4):257–66. Epub 2011/03/25. pmid:21432611.
- 36. Sagvolden T, Johansen EB, Woien G, Walaas SI, Storm-Mathisen J, Bergersen LH, et al. The spontaneously hypertensive rat model of ADHD—the importance of selecting the appropriate reference strain. Neuropharmacology. 2009;57(7–8):619–26. Epub 2009/08/25. pmid:19698722.
- 37. Jain R, Segal S, Kollins SH, Khayrallah M. Clonidine extended-release tablets for pediatric patients with attention-deficit/hyperactivity disorder. J Am Acad Child Adolesc Psychiatry. 2011;50(2):171–9. Epub 2011/01/19. pmid:21241954.
- 38. Faraone SV, McBurnett K, Sallee FR, Steeber J, Lopez FA. Guanfacine extended release: a novel treatment for attention-deficit/hyperactivity disorder in children and adolescents. Clin Ther. 2013;35(11):1778–93. Epub 2013/10/22. pmid:24139092.
- 39. Mick E, McManus DD, Goldberg RJ. Meta-analysis of increased heart rate and blood pressure associated with CNS stimulant treatment of ADHD in adults. Eur Neuropsychopharmacol. 2013;23(6):534–41. Epub 2012/07/17. pmid:22796229.
- 40. McClernon FJ, Kollins SH. ADHD and smoking: from genes to brain to behavior. Ann N Y Acad Sci. 2008;1141:131–47. Epub 2008/11/11. pmid:18991955.
- 41. Chen Q, Kuja-Halkola R, Sjolander A, Serlachius E, Cortese S, Faraone SV, et al. Shared familial risk factors between attention-deficit/hyperactivity disorder and overweight/obesity—a population-based familial coaggregation study in Sweden. J Child Psychol Psychiatry. 2017;58(6):711–8. pmid:28121008.
- 42. Willi C, Bodenmann P, Ghali WA, Faris PD, Cornuz J. Active smoking and the risk of type 2 diabetes: a systematic review and meta-analysis. JAMA. 2007;298(22):2654–64. Epub 2007/12/13. pmid:18073361.
- 43. Guilherme A, Virbasius JV, Puri V, Czech MP. Adipocyte dysfunctions linking obesity to insulin resistance and type 2 diabetes. Nat Rev Mol Cell Biol. 2008;9(5):367–77. Epub 2008/04/11. pmid:18401346.
- 44. Virdis A, Giannarelli C, Neves MF, Taddei S, Ghiadoni L. Cigarette smoking and hypertension. Curr Pharm Des. 2010;16(23):2518–25. Epub 2010/06/17. pmid:20550499.
- 45. Jiang SZ, Lu W, Zong XF, Ruan HY, Liu Y. Obesity and hypertension. Exp Ther Med. 2016;12(4):2395–9. pmid:27703502.
- 46. Hodgkins P, Montejano L, Sasane R, Huse D. Cost of illness and comorbidities in adults diagnosed with attention-deficit/hyperactivity disorder: a retrospective analysis. Prim Care Companion CNS Disord. 2011;13(2). Epub 2011/10/07. pmid:21977356.