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ARTICLE
Published Date: 11 February 2025

Are There Race‐Based Differences in Neuropsychological Test Performance and Psychological Symptom Endorsement Among Adults Diagnosed With ADHD?

Publication: Psychiatric Research and Clinical Practice

Abstract

Objective

Prevalence rates of attention‐deficit/hyperactivity disorder (ADHD) vary by several demographic factors, including sex, socioeconomic status, geographic region, and race/ethnicity, with higher rates seen among non‐Hispanic White children and adults compared to racially/ethnically minoritized individuals. This study investigated if similar race‐based differences exist in neurocognitive test performance and psychiatric/ADHD symptom reporting among groups in a demographically diverse sample.

Methods

Data from 491 adults with a confirmed diagnosis of ADHD were analyzed to assess for differences in broad neurocognitive domains (i.e., learning and memory, attention/working memory, processing speed, and executive functions), as well as on measures of mood and ADHD‐related symptomatology.

Results

Findings largely demonstrated comparable neurocognitive test performance and ADHD and psychiatric symptom endorsement across racial groups with a known diagnosis of ADHD.

Conclusions

Although prior research has consistently documented racial/ethnic disparities in rates of ADHD diagnosis, current results largely did not demonstrate neuropsychological performance‐based differences among demographically diverse patients diagnosed with ADHD.

Relevance to clinical practice

ADHD is one of the most prevalent neurodevelopmental disorders in the U.S. and constitutes a large number of referrals for diagnostic evaluation. Despite disparities in rates of diagnosis among broad racial/ethnic groups, neuropsychological outcomes remain largely consistent among these groups.

Highlights

This study investigated if race‐based differences exist in neurocognitive test performance and psychiatric/attention‐deficit/hyperactivity disorder (ADHD) symptom reporting among a racially diverse sample.
Comparable neurocognitive test performance and psychiatric/ADHD symptom reporting were found across racial groups.
Despite disparities in rates of ADHD that exist across racial groups, neurocognitive performance and symptom endorsement differences were largely nonexistent
In the United States (U.S.), attention‐deficit/hyperactivity disorder (ADHD) is one of the most prevalent neurodevelopmental disorders diagnosed in childhood (1). The 2016 National Survey of Children's Health (NSCH) estimated that 8.4% of children aged 2–17 had a current ADHD diagnosis (2). More recent NSCH data from 2022 suggests that 10.5% (∼6.5 million) of U.S. children are currently diagnosed with ADHD (3). Although ADHD was originally conceptualized as a childhood disorder, extant literature suggests symptoms often endure into adulthood (4). Current prevalence estimates for persistent adult ADHD range from 2.5% (∼139 million) to 6.7% (∼366 million) worldwide (5). Increasing prevalence estimates across time may be due to a growing awareness of ADHD through the use of social media platforms (which can lead to over‐evaluation through the sharing of [oftentimes] misleading information), increased efforts to seek care for ADHD, and/or heightened levels of mental health challenges during the COVID‐19 pandemic (6, 7, 8).
ADHD prevalence rates vary by several demographic factors, including sex, socioeconomic status, geographic region, and race/ethnicity (2, 9, 10, 11). Notably, ADHD diagnosis is more prevalent among non‐Hispanic White children and adults compared to racially/ethnically minoritized individuals (12, 13, 14, 15). However, these differential prevalence rates largely reflect racial and ethnic health disparities in both the diagnosis and treatment of ADHD (12, 15, 16). Both structural and attitudinal barriers to treatment (i.e., socio‐economic status and access to healthcare resources, trust in the medical system, general healthcare utilization) likely explain why non‐Hispanic White children and adults are overtreated/over‐diagnosed with ADHD while racially/ethnically minoritized groups are undertreated/underdiagnosed (12, 17, 18).
Interestingly, although disparities in ADHD diagnosis are well documented among minoritized individuals, relatively little research has examined for other differences, particularly neurocognitive test performance and co‐occurring psychopathology. Outside of ADHD populations, research has shown significant group differences in neuropsychological test performance between adult non‐Hispanic White and racial/ethnic minorities in the U.S. compared to non‐Hispanic White adults on tests of language, visuoconstruction, attention, nonverbal processing speed, and executive functioning (19, 20, 21). Additionally, significant differences in psychological symptom (e.g., depressive symptoms) reporting are present across racial/ethnic groups in adults, with minority individuals often reporting higher levels of psychological distress (22, 23). Despite these findings, few studies have examined potential differences in either neurocognitive performance or psychological symptoms among adults with ADHD from diverse ethnic groups. This lack of clarity is concerning given the rise of ADHD prevalence in the U.S. and the present healthcare disparities experienced by racial/ethnic minority groups.
Future research is warranted to delineate race‐based differences in neurocognitive test performance and psychological symptom reporting among adults with ADHD. Assessing group differences may aid clinicians by reducing diagnostic errors and improving treatment outcomes for underserved patients with ADHD (24). This study was designed to expand upon the limited representation of racial/ethnic minorities in neuropsychological research by investigating race‐based disparities in neurocognitive test performance and psychiatric/ADHD symptom reporting among groups in a demographically diverse sample.

METHODS

Participants

Data from 913 consecutive adults referred for neuropsychological evaluation at an academic medical center psychiatry department for ADHD diagnostic clarification or treatment planning related to established ADHD were analyzed. All patients received a comprehensive diagnostic evaluation, which included record review, detailed patient history questionnaire, clinical interview, self‐report measures of ADHD and psychological symptomology, and a focused neuropsychological test battery (see Measures below). Study exclusion criteria were: (1) no ADHD diagnosis following evaluation; (2) evidence of invalid test performance on objective performance validity tests (PVTs); (3) “other” patient‐identified race/ethnicity (i.e., biracial/multiracial, non‐Black, ‐Hispanic, ‐Asian, ‐White); and/or (4) below average estimated IQ (i.e., <90) based on the test of premorbid functioning (TOPF; (25)). Following application of exclusion criteria, the final sample consisted of 491 patients with a mean age of 28.62 (SD = 7.16) and education of 16.10 years (SD = 2.12). The sample was 42% male/58% female with the following patient‐identified racial/ethnic breakdown: 51% White (n = 252), 22% Hispanic (n = 110), 15% Black (n = 74), and 11% Asian (n = 55). Notably, all patients identified English as their primary language and 30% (n = 148) of the total sample identified as bi‐lingual (White = 12%; Hispanic = 75%; Black = 14%; Asian = 59%). Additionally, of the entire sample, 4% (n = 18) had a history of comorbid learning disability, of which the demographic breakdown was as follows: White 4% (n = 10); Hispanic 6% (n = 7); Black 1% (n = 1); Asian 0%.

Measures

Neuropsychological Test Battery

The battery consisted of the following tests: TOPF, Rey Auditory Verbal Learning Test (RAVLT; unstructured verbal learning and memory), Weschler Adult Intelligence Scale‐Fourth Edition (WAIS‐IV) Digit Span (DS; working memory), Letter‐Number Sequencing (LN; working memory), Coding (CD; processing speed), and Symbol Search (SS; processing speed) subtests, Trail Making Test Parts A & B (TMT‐A, psychomotor processing speed/sequencing; TMT‐B; mental flexibility and set‐shifting), and Stroop Color and Word Test (SCWT; Inhibition Trial; response inhibition). As part of this battery, two freestanding (Dot Counting Test (26) and Rey‐15 item and Recognition (27)) and two embedded (RAVLT Effort Score (28) and Stroop Word Reading T‐score (29)) PVTs were examined. Those with ≥2 failures were excluded for performance invalidity.

ADHD/Psychological Symptom Measures

The Clinical Assessment of Attention Deficit‐Adult (CAT‐A; (30)) is a 108‐item measure in which examinees self‐rate key ADHD symptoms of inattention, impulsivity, and hyperactivity in both childhood and currently. For this study, the childhood, current, and overall clinical index scores were examined. The Beck Depression Inventory‐Second Edition (BDI‐II; (31)) and Beck Anxiety Inventory (BAI; (32)) were used to assess severity of depressive mood symptoms and anxiety symptoms, respectively.

Data Analysis

The sample was dichotomized into average (90–109; n = 174) and above average (≥110; n = 317) IQ groups based on TOPF‐estimated FSIQ. This was done due to IQ's influence on ADHD outcomes and evidence for greater performance on neuropsychological tests compared those with average IQ or below (33, 34). The TOPF‐estimated IQ has been shown to correlate highly with WAIS‐IV FSIQ (35). Analyses of variance (ANOVAs) assessed for significant group differences in demographic variables (i.e., age, education), objective neurocognitive test performance, or self‐reported depression, anxiety, and ADHD symptoms based on patient‐identified race/ethnicity (i.e., White, Black, Hispanic, Asian). The false discovery rate (FDR) procedure controlled the familywise error rate associated with multiple comparisons with a 0.05 maximum FDR (36).

RESULTS

Groups were well‐matched across age and education among the average and above average IQ groups (Table 1). For the average IQ group, ANOVAs assessing mean differences between race and neurocognitive performance were nonsignificant, aside from Digit Span, with medium effect size. No differences emerged among self‐reported depression, anxiety, or ADHD symptoms. ANOVAs for the above average IQ group found no significant differences for any of the neurocognitive or psychiatric measures. These findings demonstrate comparable neurocognitive test performance and ADHD and psychiatric symptom endorsement across racial groups undergoing neuropsychological evaluation for ADHD.
TABLE 1. Tests of between‐subjects effects for one‐way ANOVA by race for average IQ and above average IQ groups.a
Average IQNon‐Hispanic WhiteNon‐Hispanic BlackHispanicAsianFnp2
M (SD)M (SD)M (SD)M (SD)
n = 74n = 28n = 57n = 15
Age28.32 (6.73)30.57 (11.00)26.54 (6.38)26.73 (6.80)2.010.034
Education15.54 (2.13)15.89 (1.97)14.86 (2.32)16.27 (1.79)2.600.044
IQ102.01 (5.74)99.61 (5.57)100.75 (5.93)100.93 (6.32)1.290.022
RAVLT total learning46.26 (11.13)43.00 (12.92)42.52 (11.17)48.27 (8.88)1.850.033
RAVLT delayed recall49.53 (9.06)47.16 (11.93)45.80 (11.65)54.73 (7.62)3.460.060
Digit span9.99 (2.33)10.04 (2.21)8.54 (2.08)9.73 (3.15)4.80*0.081
Letter‐number9.10 (1.71)9.48 (2.24)8.66 (1.88)9.53 (2.80)4.450.026
Coding9.68 (2.49)10.00 (2.99)9.45 (2.41)11.07 (2.89)1.650.029
Symbol search11.13 (2.98)10.24 (2.74)9.75 (3.15)10.07 (2.43)2.410.042
Trails Part A24.96 (8.46)25.72 (11.58)26.37 (10.13)21.20 (4.75)1.260.023
Trails Part B63.03 (21.50)64.76 (18.54)74.93 (38.13)74.80 (29.73)2.220.039
Stroop47.86 (11.15)45.28 (10.07)46.89 (9.19)41.60 (6.83)1.770.031
BDI‐II15.54 (11.05)21.71 (11.53)20.09 (12.99)23.20 (12.55)3.300.055
BAI10.11 (7.73)9.93 (8.03)13.09 (10.95)16.67 (10.80)2.960.050
CAT‐A child67.36 (11.52)65.54 (8.57)69.11 (10.24)69.93 (14.37)0.890.016
CAT‐A current71.55 (12.67)69.50 (9.48)73.89 (10.65)75.47 (13.41)1.370.024
CAT‐A total71.12 (11.76)69.00 (8.55)73.16 (10.74)74.60 (14.84)1.250.022
Above average IQn = 178n = 46n = 53n = 40  
Age30.13 (7.25)28.54 (8.32)27.02 (5.50)26.93 (3.82)4.420.041
Education16.55 (1.91)16.41 (2.20)15.79 (2.25)17.02 (1.64)3.220.030
IQ117.68 (4.62)116.57 (5.16)114.81 (3.61)117.58 (4.22)5.880.053
RAVLT total learning48.50 (11.60)43.82 (12.89)45.19 (11.36)48.36 (11.22)2.630.025
RAVLT delayed recall50.45 (11.35)48.00 (12.93)49.85 (10.75)50.92 (11.34)0.630.006
Digit span11.38 (2.68)10.80 (2.84)10.19 (1.94)11.67 (2.75)3.670.034
Letter‐number10.75 (2.68)9.84 (1.85)10.21 (2.49)10.64 (2.60)1.850.018
Coding10.15 (2.34)10.07 (2.36)10.19 (2.76)10.79 (2.83)0.810.008
Symbol search11.85 (3.00)11.16 (2.87)10.87 (3.26)12.21 (2.92)2.280.022
Trails Part A23.01 (8.42)23.82 (8.77)25.28 (8.39)22.05 (7.13)1.420.014
Trails Part B54.92 (17.49)61.38 (14.25)62.04 (24.25)56.97 (26.80)2.520.024
Stroop51.56 (10.31)49.29 (12.01)49.70 (11.11)49.90 (10.31)0.870.008
BDI‐II17.62 (10.82)17.59 (11.63)20.13 (12.78)15.95 (10.55)1.120.011
BAI12.35 (9.19)13.00 (10.09)12.13 (8.82)10.23 (8.72)0.720.007
CAT‐A child65.64 (10.09)66.37 (11.98)66.35 (8.41)67.23 (11.00)0.300.003
CAT‐A current71.96 (9.75)74.46 (13.37)72.90 (9.49)72.51 (13.24)0.680.007
CAT‐A total70.34 (9.99)71.98 (12.96)71.12 (8.67)71.44 (12.50)0.360.003
a
BAI, Beck Anxiety Inventory; BDI‐II, Beck Depression Inventory, 2nd Edition; CAT‐A, Clinical Assessment of Attention Deficit, Adult; RAVLT, Rey Auditory Verbal Learning Test.
*p < 0.05.

DISCUSSION

Overall, findings from the present study demonstrated nonsignificant differences between participants of different racial/ethnic groups with regard to neuropsychological test performance and psychological symptom reporting. Specifically, outside of Hispanic patients performing significantly lower on Digit Span, which is a previously documented phenomenon (37), there were nonsignificant differences in verbal learning and delayed recall, processing speed, and executive functioning scores between participants who identified as non‐Hispanic White, non‐Hispanic Black, Hispanic, or Asian in both the Average and Above Average IQ groups.
Although disparities in the diagnosis and treatment of ADHD based on race/ethnicity have been well documented (e.g., (18)), there is less clarity on potential differences in neuropsychological functioning and symptom presentation across racial/ethnic groups, particularly in adult populations. For example, there is evidence that cultural differences such as parenting styles may influence ADHD symptom presentation (38). Notably, although prior research has demonstrated performance differences on neuropsychological tests between non‐Hispanic White adults and non‐White counterparts across various populations (19, 21) and less psychological distress reported by non‐Hispanic Whites compared to other racial groups (22, 23), neither of these have been well‐studied among adults with ADHD. Based on the current findings, there is generally parity in neuropsychological test performance and psychological symptom reporting across individuals of various racial/ethnic backgrounds, when stratified by IQ. While differences emerged on an isolated measure of attention/working memory, scores remained average across groups. Working memory abilities in children have been associated with parental sociodemographic status, which may partly account for disparities maintained throughout adulthood (39). The replicability of this finding, along with potential moderating variables should be examined in future studies.
This study benefited from several methodological strengths, including a large sample, a neuropsychological test battery that allowed for comparison of performance differences across multiple domains of neurocognitive functioning (e.g., attention/working memory, learning/memory, processing speed, executive functions), and inclusion of multiple PVTs. That said, some limitations warrant notation. The sample was largely composed of undergraduate and graduate/professional students undergoing ADHD evaluation. Consequently, mean education of the sample was higher than the general population average, and findings may not necessarily generalize to broader, community‐dwelling populations. Relatedly, although the sample had a wide range of IQ, there was insufficient data for those with IQs <90 for statistical analysis. Thus, it remains unclear if current findings would replicate among those with below average baseline intellectual function. Finally, some of the subgroup sample sizes were modest, such that replication with larger subgroup sizes and among those who identify as other ethnoracial identities would be beneficial.
ADHD is one of the most prevalent neurodevelopmental disorders in the U.S., though many facets of this disorder remain understudied among adults, especially among adults from minoritized populations. Current results showed largely nonsignificant differences in neuropsychological test performance, ADHD symptom reporting, and active affective psychopathology symptoms between non‐Hispanic White, non‐Hispanic Black, Hispanic, and Asian adults with ADHD referred for clinical neuropsychological evaluation. As such, although prior research has consistently documented racial/ethnic disparities in rates of ADHD diagnosis (primarily among children), current results did not demonstrate neuropsychological performance‐based differences apart from working memory performance among young adults diagnosed with ADHD.

Footnotes

The authors received no financial support for the research, authorship, and/or publication of this article.
Acknowledgments: None.
Statements and Declarations: Not applicable.
Consent for Publication: Not applicable.
The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
All patients provided written consent to their evaluation data being used for research purposes as part of an university medical center IRB‐approved database study.
The study design and analysis were not preregistered, and materials/analysis code are not available.

REFERENCES

1.
American Psychiatric Association . What is ADHD? Available from: https://www.psychiatry.org/patients‐families/adhd/what‐is‐adhd (2022). Accessed 14 July 2024.
2.
Danielson ML, Bitsko RH, Ghandour RM, Holbrook JR, Kogan MD, Blumberg SJ. Prevalence of parent‐reported ADHD diagnosis and associated treatment among US children and adolescents, 2016. J Clin Child Adolesc Psychol. 2018;47(2):199–212. https://doi.org/10.1080/15374416.2017.1417860
3.
Danielson ML, Claussen AH, Bitsko RH, Katz SM, Newsome K, Blumberg SJ, et al. ADHD prevalence among US children and adolescents in 2022: diagnosis, severity, co‐occurring disorders, and treatment. J Clin Child Adolesc Psychol. 2024;53(3):1–18. https://doi.org/10.1080/15374416.2024.2335625
4.
Sibley MH, Arnold LE, Swanson JM, Hechtman LT, Kennedy TM, Owens E, et al. Variable patterns of remission from ADHD in the multimodal treatment study of ADHD. Am J Psychiatr. 2022;179(2):142–151. https://doi.org/10.1176/appi.ajp.2021.21010032
5.
Song P, Zha M, Yang Q, Zhang Y, Li X, Rudan I. The prevalence of adult attention‐deficit hyperactivity disorder: a global systematic review and meta‐analysis. J Global Health. 2021;11:04009. https://doi.org/10.7189/jogh.11.04009
6.
Yeung A, Ng E, Abi‐Jaoude E. TikTok and attention‐deficit/hyperactivity disorder: a cross‐sectional study of social media content quality. Can J Psychiatr. 2022;67(12):899–906. https://doi.org/10.1177/07067437221082854
7.
Abdelnour E, Jansen MO, Gold JA. ADHD diagnostic trends: increased recognition or overdiagnosis? Mo Med. 2022;119(5):467.
8.
Lebrun‐Harris LA, Ghandour RM, Kogan MD, Warren MD. Five‐year trends in US children’s health and well‐being, 2016–2020. JAMA Pediatr. 2022;176(7):e220056. https://doi.org/10.1001/jamapediatrics.2022.0056
9.
Bitsko RH, Claussen AH, Lichstein J, Black LI, Jones SE, Danielson ML, et al. Mental health surveillance among children—United States, 2013–2019. MMWR Suppl. 2022;71(2):1–42. https://doi.org/10.15585/mmwr.su7102a1
10.
Fairman KA, Peckham AM, Sclar DA. Diagnosis and treatment of ADHD in the United States: update by gender and race. J Atten Disord. 2020;24(1):10–19. https://doi.org/10.1177/1087054716688534
11.
Zablotsky B, Black LI. Prevalence of children aged 3–17 years with developmental disabilities, by urbanicity: United States, 2015–2018. National Health Statistics Reports. Number 139. National Center for Health Statistics; 2020.
12.
Adams SM, Riley T, Quinn PD, Meraz R, Karna V, Rickert M, et al. Racial‐ethnic differences in ADHD diagnosis and treatment during adolescence and early adulthood. Psychiatr Serv. 2024;75(6):521–527. https://doi.org/10.1176/appi.ps.20230113
13.
Chung W, Jiang SF, Paksarian D, Nikolaidis A, Castellanos FX, Merikangas KR, et al. Trends in the prevalence and incidence of attention‐deficit/hyperactivity disorder among adults and children of different racial and ethnic groups. JAMA Netw Open. 2019;2(11):e1914344. https://doi.org/10.1001/jamanetworkopen.2019.14344
14.
Li Y, Liu W, Zhu Y, Liu X, Winterstein AG. Determinants of pharmacological treatment initiation and persistence in publicly insured adults with attention‐deficit/hyperactivity disorder. J Clin Psychopharmacol. 2017;37(5):546–554. https://doi.org/10.1097/JCP.0000000000000759
15.
Shi Y, Guevara LRH, Dykhoff HJ, Sangaralingham LR, Phelan S, Zaccariello MJ, et al. Racial disparities in diagnosis of attention‐deficit/hyperactivity disorder in a US national birth cohort. JAMA Netw Open. 2021;4(3):e210321. https://doi.org/10.1001/jamanetworkopen.2021.0321
16.
Chronis‐Tuscano A, Bounoua N. ADHD prevalence rose, yet disparities remain: commentary on the 2022 National Survey of Children’s Health. J Clin Child Adolesc Psychol. 2024;53(3):361–372. https://doi.org/10.1080/15374416.2024.2359075
17.
Bax AC, Bard DE, Cuffe SP, McKeown RE, Wolraich ML. The association between race/ethnicity and socioeconomic factors and the diagnosis and treatment of children with attention‐deficit hyperactivity disorder. J Dev Behav Pediatr. 2019;40(2):81–91. https://doi.org/10.1097/DBP.0000000000000626
18.
Coker TR, Elliott MN, Toomey SL, Schwebel DC, Cuccaro P, Tortolero Emery S, et al. Racial and ethnic disparities in ADHD diagnosis and treatment. Pediatrics. 2016;138(3):e20160407. https://doi.org/10.1542/peds.2016-0407
19.
Boone KB, Victor TL, Wen J, Razani J, Pontón M. The association between neuropsychological scores and ethnicity, language, and acculturation variables in a large patient population. Arch Clin Neuropsychol. 2007;22(3):355–365. https://doi.org/10.1016/j.acn.2007.01.010
20.
Rea‐Sandin G, Korous KM, Causadias JM. A systematic review and meta‐analysis of racial/ethnic differences and similarities in executive function performance in the United States. Neuropsychology. 2021;35(2):141–156. https://doi.org/10.1037/neu0000715
21.
Werry AE, Daniel M, Bergström B. Group differences in normal neuropsychological test performance for older non‐Hispanic White and Black/African American adults. Neuropsychology. 2019;33(8):1089–1100. https://doi.org/10.1037/neu0000579
22.
McKnight‐Eily LR, Okoro CA, Strine TW, Verlenden J, Hollis ND, Njai R, et al. Racial and ethnic disparities in the prevalence of stress and worry, mental health conditions, and increased substance use among adults during the COVID‐19 pandemic — United States, April and May 2020. MMWR Morb Mortal Wkly Rep. 2021;70(5):162–166. https://doi.org/10.15585/mmwr.mm7005a3
23.
Wen M, Shi L, Zhang D, Li Y, Chen Z, Chen B, et al. Racial‐ethnic disparities in psychological distress during the COVID‐19 pandemic in the United States: the role of experienced discrimination and perceived racial bias. BMC Publ Health. 2023;23(1):957. https://doi.org/10.1186/s12889-023-15912-4
24.
Malik HB, Norman JB. Best practices and methodological strategies for addressing generalizability in neuropsychological assessment. J Pediatr Neuropsychol. 2023;9(2):47–63. https://doi.org/10.1007/s40817-023-00145-5
25.
Wechsler D. Test of premorbid functioning (TOPF). New York, NY: Pearson Assessments; 2009.
26.
Abramson DA, White DJ, Rhoads T, Carter DA, Hansen ND, Resch ZJ, et al. Cross‐validating the dot counting test among an adult ADHD clinical sample and analyzing the effect of ADHD subtype and comorbid psychopathology. Assessment. 2023;30(2):264–273. https://doi.org/10.1177/10731911211050895
27.
Ashendorf L, Clark EL, Humphreys CT. The Rey 15‐item memory test in US veterans. J Clin Exp Neuropsychol. 2021;43(3):324–331. https://doi.org/10.1080/13803395.2021.1932761
28.
Phillips MS, Bing‐Canar H, Shields AN, Cerny B, Chang F, Wisinger AM, et al. Assessment of learning and memory impairments in adults with predominately inattentive versus combined presentation attention‐deficit/hyperactivity disorder. Appl Neuropsychol Adult. 2023:1–10. https://doi.org/10.1080/23279095.2023.2169887
29.
Khan H, Rauch AA, Obolsky MA, Skymba H, Barwegen KC, Wisinger AM, et al. A comparison of embedded validity indicators from the Stroop Color and Word Test among adults referred for clinical evaluation of suspected or confirmed attention‐deficit/hyperactivity disorder. Psychol Assess. 2022;34(7):697–703. https://doi.org/10.1037/pas0001137
30.
Bracken B, Boatwright B. CAT‐C, clinical assessment of attention deficit‐ child and CAT‐A, clinical assessment of attention deficit‐adult professional manual. Lutz, FL: Psychological Assessment Resources; 2005.
31.
Beck AT, Steer RA, Brown G. Beck Depression Inventory–II (BDI‐II) [Database record]. APA PsycTests; 1996. https://doi.org/10.1037/t00742-000
32.
Beck AT, Epstein N, Brown G, Steer R. Beck Anxiety Inventory [Database record]. APA PsycTests; 1988. https://doi.org/10.1037/t02025-000
33.
Keezer RD, Leib SI, Scimeca LM, Smith JT, Holbrook LR, Sharp DW, et al. Masking effect of high IQ on the Rey Auditory Verbal Learning Test in an adult sample with attention deficit/hyperactivity disorder. Appl Neuropsychol Adult. 2021;31(1):1–9. https://doi.org/10.1080/23279095.2021.1983575
34.
Vainieri I, Michelini G, Cheung CH, Oginni OA, Asherson P, Rijsdijk F, et al. The etiological and predictive association between ADHD and cognitive performance from childhood to young adulthood. J Atten Disord. 2023;27(7):709–720. https://doi.org/10.1177/10870547231159908
35.
Kirton JW, Soble JR, Marceaux JC, Messerly J, Bain KM, Webber TA, et al. Comparison of models of premorbid IQ estimation using the TOPF, OPIE‐3, and Barona equation, with corrections for the Flynn effect. Neuropsychology. 2020;34(1):43–52. https://doi.org/10.1037/neu0000569
36.
Benjamini Y, Hochberg Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J Roy Stat Soc B. 1995;57(1):289–300. Available from: http://www.jstor.org/stable/2346101
37.
Schroeder RW, Twumasi‐Ankrah P, Baade LE, Marshall PS. Reliable digit span: a systematic review and cross‐validation study. Assessment. 2012;19(1):21–30. https://doi.org/10.1177/1073191111428764
38.
Gómez‐Benito J, Van de Vijver FJ, Balluerka N, Caterino L. Cross‐cultural and gender differences in ADHD among young adults. J Atten Disord. 2019;23(1):22–31. https://doi.org/10.1177/1087054715611748
39.
Akhlaghipour G, Assari S. Parental education, household income, race, and children’s working memory: complexity of the effects. Brain Sci. 2020;10(12):950. https://doi.org/10.3390/brainsci10120950

Information & Authors

Information

Published In

Go to Psychiatric Research and Clinical Practice
Psychiatric Research and Clinical Practice
Pages: n/a

History

Received: 2 December 2024
Revision received: 30 December 2024
Accepted: 13 January 2025
Published online: 11 February 2025

Authors

Details

Matthew S. Phillips, Psy.D., https://orcid.org/0009-0001-8219-6195
Department of Psychiatry, University of Illinois College of Medicine, Chicago, Illinois, USA (M. S. Phillips, M. I. Leese, S. A. Abalos, G. Shapiro, K. Bare, N. A. Orleans, N. M. Durkin, J. R. Soble); Department of Psychology, Rosalind Franklin University of Medicine and Science, North Chicago, Illinois, USA (M. I. Leese); Department of Clinical Psychology, The Chicago School, Chicago, Illinois, USA (S. A. Abalos, G. Shapiro); Department of Psychology, DePaul University, Chicago, Illinois, USA (K. Bare); Department of Neurology, University of Illinois College of Medicine, Chicago, Illinois, USA (J. R. Soble)
Mira I. Leese, M.S.
Department of Psychiatry, University of Illinois College of Medicine, Chicago, Illinois, USA (M. S. Phillips, M. I. Leese, S. A. Abalos, G. Shapiro, K. Bare, N. A. Orleans, N. M. Durkin, J. R. Soble); Department of Psychology, Rosalind Franklin University of Medicine and Science, North Chicago, Illinois, USA (M. I. Leese); Department of Clinical Psychology, The Chicago School, Chicago, Illinois, USA (S. A. Abalos, G. Shapiro); Department of Psychology, DePaul University, Chicago, Illinois, USA (K. Bare); Department of Neurology, University of Illinois College of Medicine, Chicago, Illinois, USA (J. R. Soble)
Steven A. Abalos, M.A.
Department of Psychiatry, University of Illinois College of Medicine, Chicago, Illinois, USA (M. S. Phillips, M. I. Leese, S. A. Abalos, G. Shapiro, K. Bare, N. A. Orleans, N. M. Durkin, J. R. Soble); Department of Psychology, Rosalind Franklin University of Medicine and Science, North Chicago, Illinois, USA (M. I. Leese); Department of Clinical Psychology, The Chicago School, Chicago, Illinois, USA (S. A. Abalos, G. Shapiro); Department of Psychology, DePaul University, Chicago, Illinois, USA (K. Bare); Department of Neurology, University of Illinois College of Medicine, Chicago, Illinois, USA (J. R. Soble)
Greg Shapiro, M.A.
Department of Psychiatry, University of Illinois College of Medicine, Chicago, Illinois, USA (M. S. Phillips, M. I. Leese, S. A. Abalos, G. Shapiro, K. Bare, N. A. Orleans, N. M. Durkin, J. R. Soble); Department of Psychology, Rosalind Franklin University of Medicine and Science, North Chicago, Illinois, USA (M. I. Leese); Department of Clinical Psychology, The Chicago School, Chicago, Illinois, USA (S. A. Abalos, G. Shapiro); Department of Psychology, DePaul University, Chicago, Illinois, USA (K. Bare); Department of Neurology, University of Illinois College of Medicine, Chicago, Illinois, USA (J. R. Soble)
Kailyn Bare, M.A.
Department of Psychiatry, University of Illinois College of Medicine, Chicago, Illinois, USA (M. S. Phillips, M. I. Leese, S. A. Abalos, G. Shapiro, K. Bare, N. A. Orleans, N. M. Durkin, J. R. Soble); Department of Psychology, Rosalind Franklin University of Medicine and Science, North Chicago, Illinois, USA (M. I. Leese); Department of Clinical Psychology, The Chicago School, Chicago, Illinois, USA (S. A. Abalos, G. Shapiro); Department of Psychology, DePaul University, Chicago, Illinois, USA (K. Bare); Department of Neurology, University of Illinois College of Medicine, Chicago, Illinois, USA (J. R. Soble)
Nevin A. Orleans, B.A.
Department of Psychiatry, University of Illinois College of Medicine, Chicago, Illinois, USA (M. S. Phillips, M. I. Leese, S. A. Abalos, G. Shapiro, K. Bare, N. A. Orleans, N. M. Durkin, J. R. Soble); Department of Psychology, Rosalind Franklin University of Medicine and Science, North Chicago, Illinois, USA (M. I. Leese); Department of Clinical Psychology, The Chicago School, Chicago, Illinois, USA (S. A. Abalos, G. Shapiro); Department of Psychology, DePaul University, Chicago, Illinois, USA (K. Bare); Department of Neurology, University of Illinois College of Medicine, Chicago, Illinois, USA (J. R. Soble)
Nicole M. Durkin, M.A., M.B.A.
Department of Psychiatry, University of Illinois College of Medicine, Chicago, Illinois, USA (M. S. Phillips, M. I. Leese, S. A. Abalos, G. Shapiro, K. Bare, N. A. Orleans, N. M. Durkin, J. R. Soble); Department of Psychology, Rosalind Franklin University of Medicine and Science, North Chicago, Illinois, USA (M. I. Leese); Department of Clinical Psychology, The Chicago School, Chicago, Illinois, USA (S. A. Abalos, G. Shapiro); Department of Psychology, DePaul University, Chicago, Illinois, USA (K. Bare); Department of Neurology, University of Illinois College of Medicine, Chicago, Illinois, USA (J. R. Soble)
Jason R. Soble, Ph.D.
Department of Psychiatry, University of Illinois College of Medicine, Chicago, Illinois, USA (M. S. Phillips, M. I. Leese, S. A. Abalos, G. Shapiro, K. Bare, N. A. Orleans, N. M. Durkin, J. R. Soble); Department of Psychology, Rosalind Franklin University of Medicine and Science, North Chicago, Illinois, USA (M. I. Leese); Department of Clinical Psychology, The Chicago School, Chicago, Illinois, USA (S. A. Abalos, G. Shapiro); Department of Psychology, DePaul University, Chicago, Illinois, USA (K. Bare); Department of Neurology, University of Illinois College of Medicine, Chicago, Illinois, USA (J. R. Soble)

Notes

Send correspondence to
Dr. Phillips (mphill8@uic.edu)

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