Abstract
Patients with mood disorders commonly manifest comorbid psychiatric disorders, including attention-deficit/hyperactivity disorder (ADHD). However, few studies have evaluated ADHD symptoms in this population. The current study aimed to explore the network structure of ADHD symptomology and identify central symptoms in patients with mood disorders. The Korean version of the Adult ADHD Self-Report Scale was used to assess the overall ADHD symptoms in 1,086 individuals diagnosed with mood disorders (major depressive disorder [n = 373], bipolar I disorder [n = 314], and bipolar II disorder [n = 399]). We used exploratory graph analysis to detect the number of communities, and the network structure was analyzed using regularized partial correlation models. We identified the central ADHD symptom using centrality indices. Network comparison tests were conducted with different subgroups of patients with mood disorders, including three mood diagnosis groups, between the patients who met the diagnostic criteria for ADHD [ADHD-suspected, n = 259] in their self-report and the others [ADHD-non-suspected, n = 827], and groups with high [n = 503] versus low [n = 252] levels of depressive state. The network analysis detected four communities: disorganization, agitation/restlessness, hyperactivity/impulsivity, and inattention. The centrality indices indicated that “feeling restless” was the core ADHD symptom. The result was replicated in the subgroup analyses within our clinically diverse population of mood disorders, encompassing three presentations: Patients with suspected ADHD, patients without suspected ADHD, and patients with a high depressive state. Our findings reveal that “feeling restless” is the central ADHD symptom. The treatment intervention for “feeling restless” may thus play a pivotal role in tackling ADHD symptoms in adult patients with mood disorders.
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Data are available upon request from the correspondence author, [WM]. The data is not publicly available due to privacy or ethical restrictions.
References
Akiskal HS (1989) New insights into the nature and heterogeneity of mood disorders. J Clin Psychiatry 50:6–10
Nandi A, Beard JR, Galea S (2009) Epidemiologic heterogeneity of common mood and anxiety disorders over the lifecourse in the general population: a systematic review. BMC Psychiatry 9:31. https://doi.org/10.1186/1471-244X-9-31
Goodman DW, Thase ME (2009) Recognizing ADHD in adults with comorbid mood disorders: implications for identification and management. Postgrad Med 121:20–30. https://doi.org/10.3810/pgm.2009.09.2049
Chamakalayil S, Strasser J, Vogel M, Brand S, Walter M, Dürsteler KM (2021) Methylphenidate for attention-deficit and hyperactivity disorder in adult patients with substance use disorders: good clinical practice. Frontiers Psychiatry 11:540837. https://doi.org/10.3389/fpsyt.2020.540837
Tükel R, Meteris H, Koyuncu A, Tecer A, Yazıcı O (2006) The clinical impact of mood disorder comorbidity on obsessive–compulsive disorder. Eur Arch Psychiatry Clin Neurosci 256:240–245. https://doi.org/10.1007/s00406-006-0632-z
Norton PJ, Paulus DJ (2016) Toward a unified treatment for emotional disorders: update on the science and practice. Behav Ther 47:854–868. https://doi.org/10.1016/j.beth.2015.07.002
Fava GA, McEwen BS, Guidi J, Gostoli S, Offidani E, Sonino N (2019) Clinical characterization of allostatic overload. Psychoneuroendocrinology 108:94–101. https://doi.org/10.1016/j.psyneuen.2019.05.028
Guidi J, Offidani E, Rafanelli C, Roncuzzi R, Sonino N, Fava GA (2016) The assessment of allostatic overload in patients with congestive heart failure by clinimetric criteria. Stress Health 32:63–69. https://doi.org/10.1002/smi.2579
Di Nicola M, Sala L, Romo L, Catalano V, Even C, Dubertret C, Martinotti G, Camardese G, Mazza M, Tedeschi D, Callea A, De Risio L, Guelfi JD, Rouillon F, Janiri L, Gorwood P (2014) Adult attention-deficit/hyperactivity disorder in major depressed and bipolar subjects: role of personality traits and clinical implications. Eur Arch Psychiatry Clin Neurosci 264:391–400. https://doi.org/10.1007/s00406-013-0456-6
Brus MJ, Solanto MV, Goldberg JF (2014) Adult ADHD vs. bipolar disorder in the DSM-5 era: a challenging differentiation for clinicians. J Psychiatr Pract 20:428–437. https://doi.org/10.1097/01.pra.0000456591.20622.9e
Dunlop BW, Wu R, Helms K (2018) Performance of the Adult ADHD Self-Report Scale, v1.1 in adults with major depressive disorder. Behav Sci (Basel) 8:37. https://doi.org/10.3390/bs8040037
Bron TI, Bijlenga D, Verduijn J, Penninx BW, Beekman AT, Kooij JJ (2016) Prevalence of ADHD symptoms across clinical stages of major depressive disorder. J Affect Disord 197:29–35. https://doi.org/10.1016/j.jad.2016.02.053
Rydén E, Thase ME, Stråht D, Åberg-Wistedt A, Bejerot S, Landén M (2009) A history of childhood attention-deficit hyperactivity disorder (ADHD) impacts clinical outcome in adult bipolar patients regardless of current ADHD. Acta Psychiatr Scand 120:239–246. https://doi.org/10.1111/j.1600-0447.2009.01399.x
Borsboom D, Cramer AO (2013) Network analysis: an integrative approach to the structure of psychopathology. Annu Rev Clin Psychol 9:91–121. https://doi.org/10.1146/annurev-clinpsy-050212-185608
Borsboom D (2017) A network theory of mental disorders. World Psychiatry 16:5–13. https://doi.org/10.1002/wps.20375
Chavez-Baldini U, Nieman DH, Keestra A, Lok A, Mocking RJ, De Koning P, Krzhizhanovskaya VV, Bockting CLH, van Rooijen G, Smit DJA, Sutterland AL, Verweij KJH, van Wingen G, Wigman JTW, Vulink NC, Denys D (2023) The relationship between cognitive functioning and psychopathology in patients with psychiatric disorders: a transdiagnostic network analysis. Psychol Med 53(2):476–485. https://doi.org/10.1017/S0033291721001781
van Borkulo C, Boschloo L, Borsboom D, Penninx BW, Waldorp LJ, Schoevers RA (2015) Association of symptom network structure with the course of depression. JAMA Psychiat 72(12):1219–1226. https://doi.org/10.1001/jamapsychiatry.2015.2079
Borsboom D, Deserno MK, Rhemtulla M, Epskamp S, Fried EI, McNally RJ, Robinaugh DJ, Perugini M, Dalege J, Costantini G, Isvoranu AM, Wysocki AC, van Borkulo CD, van Bork R, Waldorp LJ (2021) Network analysis of multivariate data in psychological science. Nat Rev Methods Primers 1:58. https://doi.org/10.1038/s43586-021-00055-w
McNally RJ (2021) Network analysis of psychopathology: controversies and challenges. Annu Rev Clin Psychol 17:31–53. https://doi.org/10.1146/annurev-clinpsy-081219-092850
Sheehan DV, Lecrubier Y, Sheehan KH, Amorim P, Janavs J, Weiller E, Hergueta T, Baker R, Dunbar GC (1998) The Mini-International Neuropsychiatric Interview (M.I.N.I.): the development and validation of a structured diagnostic psychiatric interview for DSM-IV and ICD-10. J Clin Psychiatry 59:22–33
American Psychiatric Association (2013) DS, American Psychiatric Association. Diagnostic and statistical manual of mental disorders. American Psychiatric Association, Washington, DC
Kim JH, Lee EH, Joung YS (2013) The WHO adult ADHD self-report scale: reliability and validity of the Korean version. Psychiatry Investig 10:41–46. https://doi.org/10.4306/pi.2013.10.1.41
Zung WW (1986) Zung Self-Rating Depression Scale and depression status inventory. Assessment of depression. Springer, Berlin, pp 221–231
Li Y, Yu Q, Ma L, Sun Z, Yang X (2008) Prevalence of depression and anxiety symptoms and their influence factors during menopausal transition and postmenopause in Beijing city. Maturitas 61:238–242. https://doi.org/10.1016/j.maturitas.2008.09.002
Golino HF, Epskamp S (2017) Exploratory graph analysis: A new approach for estimating the number of dimensions in psychological research. PLoS One 12:e0174035. https://doi.org/10.1371/journal.pone.0174035
Golino H, Shi D, Christensen AP, Garrido LE, Nieto MD, Sadana R, Thiyagarajan JA, Martinez-Molina A (2020) Investigating the performance of exploratory graph analysis and traditional techniques to identify the number of latent factors: a simulation and tutorial. Psychol Methods 25:292. https://doi.org/10.1037/met0000255
Fried EI, Boschloo L, Van Borkulo CD, Schoevers RA, Romeijn JW, Wichers M, De Jonge P, Nesse RM, Tuerlinckx F, Borsboom D (2015) Commentary: “Consistent superiority of selective serotonin reuptake inhibitors over placebo in reducing depressed mood in patients with major depression.” Front Psychiatry 6:117. https://doi.org/10.3389/fpsyt.2015.00117
Van Borkulo CD, van Bork R, Boschloo L, Kossakowski JJ, Tio P, Schoevers RA, Borsboom D, Waldorp LJ (2022) Comparing network structures on three aspects: a permutation test. Psychol Methods. https://doi.org/10.1037/met0000476
Christensen AP, Golino H (2021) Estimating the stability of psychological dimensions via bootstrap exploratory graph analysis: A Monte Carlo simulation and tutorial. Psych 3:479–500. https://doi.org/10.3390/psych3030032
McNally RJ (2016) Can network analysis transform psychopathology? Behav Res Ther 86:95–104. https://doi.org/10.1016/j.brat.2016.06.006
Masi G, Perugi G, Toni C, Millepiedi S, Mucci M, Bertini N, Pfanner C (2006) Attention-deficit hyperactivity disorder–bipolar comorbidity in children and adolescents. Bipolar Disord 8:373–381. https://doi.org/10.1111/j.1399-5618.2006.00342.x
Smit AC, Snippe E (2022) Real-time monitoring of increases in restlessness to assess idiographic risk of recurrence of depressive symptoms. Psychol Med. https://doi.org/10.1017/S0033291722002069
Smit AC, Snippe E, Wichers M (2019) Increasing restlessness signals impending increase in depressive symptoms more than 2 months before it happens in individual patients. Psychother Psychosom 88:249–251. https://doi.org/10.1159/000500594
Day RK (1999) Psychomotor agitation: poorly defined and badly measured. J Affect Disord 55:89–98. https://doi.org/10.1016/s0165-0327(99)00010-5
Angst J, Gamma A, Benazzi F, Ajdacic V, Rössler W (2009) Does psychomotor agitation in major depressive episodes indicate bipolarity? Evidence from the Zurich study. Eur Arch Psychiatry Clin Neurosci 259:55–63. https://doi.org/10.1007/s00406-008-0834-7
Sims A (1988) Symptoms in the mind: an introduction to descriptive psychopathology. Bailliere Tindall Publishers
Gelder M, Gath D, Mayou R (1989) Oxford textbook of psychiatry. Oxford University Press
Roberts J, Gracia Canales A, Blanthorn-Hazell S, Craciun Boldeanu A, Judge D (2018) Characterizing the experience of agitation in patients with bipolar disorder and schizophrenia. BMC Psychiatry 18:104. https://doi.org/10.1186/s12888-018-1673-3
Maj M, Pirozzi R, Magliano L, Bartoli L (2003) Agitated depression in bipolar I disorder: prevalence, phenomenology, and outcome. Am J Psychiatry 160:2134–2140. https://doi.org/10.1176/appi.ajp.160.12.2134
Iwanami T, Maeshima H, Baba H, Satomura E, Namekawa Y, Shimano T, Suzuki T, Arai H (2015) Psychomotor agitation in major depressive disorder is a predictive factor of mood-switching. J Affect Disord 170:185–189. https://doi.org/10.1016/j.jad.2014.09.001
Baldessarini RJ, Faedda GL, Offidani E, Vázquez GH, Marangoni C, Serra G, Tondo L (2013) Antidepressant-associated mood-switching and transition from unipolar major depression to bipolar disorder: a review. J Affect Disord 148:129–135. https://doi.org/10.1016/j.jad.2012.10.033
Fredriksen M, Dahl AA, Martinsen EW, Klungsoyr O, Faraone SV, Peleikis DE (2014) Childhood and persistent ADHD symptoms associated with educational failure and long-term occupational disability in adult ADHD. ADHD Atten Def Hyp Disord 6:87–99. https://doi.org/10.1007/s12402-014-0126-1
Kooij SJ, Bejerot S, Blackwell A, Caci H, Casas-Brugué M, Carpentier PJ, Asherson P (2010) European consensus statement on diagnosis and treatment of adult ADHD: The European Network Adult ADHD. BMC Psychiatry 10:1–24. https://doi.org/10.1186/1471-244X-10-67
Brevik EJ, Lundervold AJ, Haavik J, Posserud MB (2020) Validity and accuracy of the adult attention-deficit/hyperactivity disorder (ADHD) self-report scale (ASRS) and the Wender Utah rating scale (WURS) symptom checklists in discriminating between adults with and without ADHD. Brain Behav 10:e01605. https://doi.org/10.1002/brb3.1605
Kessler RC, Adler L, Ames M, Demler O, Faraone S, Hiripi EV, Howes MJ, Jin R, Secnik K, Spencer T, Ustun TB, Walters EE (2005) The World Health Organization Adult ADHD Self-Report Scale (ASRS): a short screening scale for use in the general population. Psychol Med 35:245–256. https://doi.org/10.1017/s0033291704002892
Stanton K, Forbes MK, Zimmerman M (2018) Distinct dimensions defining the Adult ADHD Self-Report Scale: implications for assessing inattentive and hyperactive/impulsive symptoms. Psychol Assess 30:1549–1559. https://doi.org/10.1037/pas0000604
Takeda T, Tsuji Y, Kurita H (2017) Psychometric properties of the Japanese version of the Adult attention-deficit hyperactivity disorder (ADHD) Self-Report Scale (ASRS-J) and its short scale in accordance with DSM-5 diagnostic criteria. Res Dev Disabil 63:59–66. https://doi.org/10.1016/j.ridd.2017.02.011
Herrmann MJ, Saathoff C, Schreppel TJ, Ehlis AC, Scheuerpflug P, Pauli P, Fallgatter AJ (2009) The effect of ADHD symptoms on performance monitoring in a non-clinical population. Psychiatry Res 169:144–148. https://doi.org/10.1016/j.psychres.2008.06.015
Kessler RC, Adler LA, Gruber MJ, Sarawate CA, Spencer T, Van Brunt DL (2007) Validity of the World Health Organization Adult ADHD Self-Report Scale (ASRS) Screener in a representative sample of health plan members. Int J Methods Psychiatr Res 16:52–65. https://doi.org/10.1002/mpr.208
Halmøy A, Fasmer OB, Gillberg C, Haavik J (2009) Occupational outcome in adult ADHD: Impact of symptom profile, comorbid psychiatric problems, and treatment: a cross-sectional study of 414 clinically diagnosed adult ADHD patients. J Atten Disord 13:175–187. https://doi.org/10.1177/1087054708329777
Brown TA, Moore MT (2012) Confirmatory factor analysis. Handbook of structural equation modeling, p 361–379
Price M, Legrand AC, Brier ZMF, Hébert-Dufresne L (2019) The symptoms at the center: examining the comorbidity of posttraumatic stress disorder, generalized anxiety disorder, and depression with network analysis. J Psychiatr Res 109:52–58. https://doi.org/10.1016/j.jpsychires.2018.11.016
Becker SP, Willcutt EG, Leopold DR, Fredrick JW, Smith ZR, Jacobson LA, Burns GL, Mayes SD, Waschbusch DA, Froehlich TE, McBurnett K, Servera M, Barkley RA (2023) Report of a work group on sluggish cognitive tempo: Key research directions and a consensus change in terminology to cognitive disengagement syndrome. J Am Acad Child Adolesc Psychiatry 62:629–645. https://doi.org/10.1016/j.jaac.2022.07.821
Fredrick JW, Jacobson LA, Peterson RK, Becker SP (2023) Cognitive disengagement syndrome (sluggish cognitive tempo) and medical conditions: A systematic review and call for future research. Child Neuropsychol. https://doi.org/10.1080/09297049.2023.2256052
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This work was supported by a National Research Foundation (NRF) of Korea Grant funded by the Korean government (NRF-2021R1A2C4001779; WM). The funding body had no role in the study design, data collection, data analysis, data interpretation, or writing of this report. The corresponding authors had full access to all the data in this study and had final responsibility for the decision to submit for publication.
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WM and JP had full access to all of the data in this study and take responsibility for the integrity of the data and the accuracy of the data analysis. JP, HSK, and WM contributed to conceptualization. DL, HKI, HY, YJ, and JY were involved in data curation. WM performed funding acquisition. DL, JL, and HKI did investigation. HSK, JP, and WM did supervision. JL and DL performed statistical analysis. JL, DL, and HKI wrote the original draft. All the authors were involved in writing––review and editing.
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This study was conducted according to the guidelines of the Declaration of Helsinki and was approved by the Institutional Review Board of Seoul National Bundang Hospital (protocol code B-2205-756-111, approved May 2, 2022).
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Patient consent was waived because the data were gathered through a medical chart review. Comparison consent was also waived, as the researchers did not have direct access to participants’ personal information and used anonymized survey data for the analyses.
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Lee, J., Lee, D., Ihm, H. et al. Network structure of symptomatology of adult attention-deficit hyperactivity disorder in patients with mood disorders. Eur Arch Psychiatry Clin Neurosci (2023). https://doi.org/10.1007/s00406-023-01719-2
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DOI: https://doi.org/10.1007/s00406-023-01719-2