Abstract
ADHD is characterized by an inability to sustain attention, impulsivity, and hyperactivity; it is a developmental disorder that was initially thought to be outgrown by adolescence (Barkley, 2005). Longitudinal studies that followed children with ADHD into adulthood have found a persistence of symptom, although the expression of these symptoms changes over time, confirming that ADHD in adults is a valid disorder (Barkley, Murphy, & Fischer, 2008; Biederman, Mick, & Faraone, 2000; Fischer & Barkley, 2007). ADHD in adulthood has been linked to severe functional impairment in multiple domains, including academic underachievement (Antshel & Barkley, 2009; Kessler et al., 2006; Miller, Nigg, & Faraone, 2007).
Although much is known about ADHD in adolescents, the scientific literature on undergraduate and medical students with ADHD is scarce. The prevalence of students with ADHD symptoms is estimated at 2% to 4% of all college students (DuPaul, Weyandt, O’Dell, & Varejao, 2009) although the actual number is speculative because students are not required to identify themselves (Weyandt & DuPaul, 2006). With the passage of the Americans With Disabilities Act (ADA) as amended by the ADA Amendments Act (ADAAA) of 2008, Congress broadened the definition of a disability by expanding major life activities to include reading and communicating, and disallowing the consideration of mitigating measures such as the use of medication, thus expanding the population of students with ADHD that qualifies for academic accommodations (Burke, Friend, & Rigler, 2010). To date, limited data are available on the prevalence of ADHD among medical students; Tuttle, Scheurich and Ranseen (2010) found that 5.5% of students report being diagnosed with ADHD across all 4 years of education at one U.S. public medical college.
ADHD can be predictive of academic difficulty and poor school performance in children and adolescents (Goldstein & Ellison, 2002). Compared with children with ADHD who are followed into adulthood, clinically diagnosed adults with ADHD are found to have higher intellectual levels, have graduated from high school, and have at least attempted college (Barkley, Fischer, Smallish, & Fletcher, 2006). Medical students with ADHD probably have made a number of compensatory adaptations that account for their success in attaining a high level of academic achievement. However, those with ADHD may find their previous coping skills ineffective, particularly in relation to the demanding schedule of medical education and the possible separation from their support system (Bradshaw & Salzer, 2003).
One of the few studies on ADHD in medical education outlines a case study of three medical students who failed the U.S. Medical Licensing Examination (USMLE) Step 1 prior to being diagnosed with ADHD (Uva, 1996). Once these students were diagnosed with ADHD and treated with Ritalin, they passed the USMLE Steps 1 and 2, graduated from medical school, and obtained a residency position. Their experience demonstrates that we need to better understand the impact of ADHD in medical students and develop effective support services. Therefore, the aim of the current study is to quantify symptomatology and functional impairments in medical students with ADHD.
Method
Participants were 33 preclinical medical students previously diagnosed with ADHD attending an international medical school located in the Caribbean. All participants were U.S. citizens and had completed their undergraduate education in the United States. Students were recruited for the study when visiting the University Counseling Center or the Academic Success Program after they had self-disclosed their ADHD diagnosis. The diagnosis of ADHD was not independently confirmed. Participants completed the Adult ADHD Quality of Life Scale (AAQoL), the Adult ADHD Self-Report Checklist (ASRS), and a demographic questionnaire in a single session via paper and pencil administration. Institutional Review Board approval was obtained.
The AAQoL is a patient-reported outcome measure containing 29 items used to assess the impact of ADHD on functional impairments and quality of life. The scale is divided into four domains based on “areas of impact”: life productivity, psychological health, life outlook, and relationships. The life productivity domain contains 11 items, including getting things done on time, completing tasks, remembering important things, and balancing multiple projects. The psychological health domain contains 6 items, including feeling anxious, overwhelmed, and fatigued. The life outlook domain contains 7 items, including perceptions that energy is well spent, people enjoy spending time with you, you can successfully manage your life, and you are as productive as you would like to be. The relationships domain contains 5 items, including tension, annoyance, and frustration in relationships. Participants rate the degree or frequency they find each item troublesome or problematic during the past 2 weeks on a 5-point Likert-type scale. The AAQoL is scored using an algorithm to create a total score and four subscale scores. A higher score indicates greater quality of life; lower scores indicate greater impairment in functioning. Brod, Johnston, Able, and Swindle (2006) conducted a validation study (n = 1,230) in which reliability was confirmed, and concurrent validity was established in relation to the Short Form-36 (a general health measure) and Endicott Work Productivity Scale. The AAQoL has recently been used in three investigations of ADHD medications; all report reliability and validity findings consistent with Brod, Johnston, Able, and Swindle (2006; see Able, Johnston, Adler, & Swindle, 2007; Adler, Spencer, Williams, Moore, & Michelson, 2008; Matza, Johnston, Faries, Malley, & Brod, 2007).
The Adult ASRS (Kessler et al., 2005), a World Health Organization instrument, is a six-item scale designed to screen for adult ADHD in community samples. Participants rate themselves on a 5-point Likert-type scale; a total score is obtained by summing the score for each item. The total score can be used as a proxy for ADHD severity (mild, moderate, and severe). The ASRS has been validated using the National Comorbidity Replication Survey (NCRS) subsample that reported childhood ADHD and adult persistence. Results demonstrated adequate sensitivity, excellent specificity, excellent total classification, and a good kappa (Kessler et al., 2005). Two recent investigations (Able et al., 2007; Adler et al., 2008) have used the ASRS in equivalent methods as the current study.
A researcher-designed questionnaire was used to collect data on individuals’ age, sex, age of ADHD diagnosis, ADHD treatment history, the use of support services, academic performance, and study strategies.
Results
Participant Characteristics
A total of 33 students diagnosed with ADHD and currently in their 1st or 2nd year of preclinical studies at an international medical school participated in the study. Of these students, 21 were male (64%) and 12 were female (36%). A majority (63%) of participants reported receiving their diagnosis after the age of 18 years. Of the 42% of students reporting a comorbid condition, 50% reported anxiety, 35% a learning disability, 7% depression, and 7% a combination of anxiety and learning disabilities.
Data Analysis
All analyses were performed with IBM SPSS 17.0 software (IBM SPSS, Inc., Chicago, Illinois). Total scores for the ASRS, AAQoL, as well as the four AAQoL subscores were calculated, and a Pearson product–moment correlation coefficient was computed to assess the relationship between the severity of ADHD symptoms and the rating of ADHD-related quality of life. As expected, there was a significant negative correlation between symptom severity (ASRS total score) and quality of life (AAQoL total score; r = −.395, n = 33, p = .02) as well as between the ASRS total score and the AAQoL life productivity subscore (r = −.563, n = 33, p = .001).
An independent-samples t test was conducted to compare symptom severity in students with ADHD receiving academic and testing accommodations and those not receiving accommodations. There was a significant difference in the symptom severity score (ASRS) for students receiving accommodations (M = 18.7, SD = 2.3) than those not receiving accommodations (M = 16, SD = 4.8); t(30) = 2.18, p = .037. A comparison of AAQoL scores between students receiving accommodations and those not receiving accommodations was not statistically significant. Students receiving accommodations reported lower quality of life scores in all domains except life outlook: students receiving accommodations (M = 55.9) compared with those not receiving accommodations (M = 48.6).
An independent-samples t test was conducted to compare ADHD-related quality of life in students diagnosed with ADHD and anxiety and/or learning disabilities and those diagnosed with only ADHD. There was a significant difference for AAQoL psychological health subscore for students with comorbidity (M = 34.5, SD = 17.7) than those with ADHD only (M = 55, SD = 29.9); t(31) = −2.28, p = .03.
Next, an independent-samples t test was conducted to compare ADHD-related quality of life in groups defined by gender. There was a significant difference for AAQoL total score; women reported a lower overall quality of life (M = 41.5, SD = 18.2) than men (M = 55.9, SD = 17.2); t(31) = 2.26, p = .03. In addition, women had significantly lower psychological health subscores (M = 34.4, SD = 24.4) than men (M = 53.2, SD = 26.8); t(31) = 1.99, p = .05. Although symptoms severity was higher in women (M = 18) than men (M = 15.9), it did not reach the level of statistical significance.
Discussion
Beyond the academic impairments, medical students with ADHD experience significant functional impairment related to their daily life. As in previous research (Adler, Spencer, Levine, et al., 2008; Brod et al., 2006; Safren, Sprich, Cooper-Vince, Knouse, & Lerner, 2010), ADHD-related quality of life was negatively correlated with ADHD severity. Although this is not surprising, it does raise concern as the rigor and stress of medical education may hinder academically able students with ADHD from becoming physicians.
Women reported greater functional impairment than men although they did not report greater symptoms than men, indicating that women in the sample did not experience a more severe form of ADHD. The results of the current study that women are more impaired than men are similar to those found by Fedele, Lefler, Hartung, and Canu (2012), but quite different from the findings of other studies (Biederman et al., 2005; Biederman, Faraone, Monuteaux, Bober, & Cadogen, 2004). Interestingly, Fedele and colleagues reported greater functional impairment in women compared with men in a sample of college students using an ADHD-specific measure similar to the one used in the current study, whereas studies reporting no gender differences in impairment employed the Global Assessment of Functioning (GAF) Scale, which reflects a clinician’s judgment of a person’s ability to function in daily life.
Although the contradictions found in gender-specific impairments in adults with ADHD may be an artifact of measurement, alternative explanations to these findings deserve mention. Studies of adolescents have found that girls with ADHD feel more ineffective, have lower self-esteem, and are more affected by negative life events compared with boys with ADHD (Rucklidge, 2010; Rucklidge & Tannock, 2001) indicating that women with ADHD may experience greater functional impairment than men. The gender difference may reflect cultural expectations as women’s traditional gender role expectations may enhance distress as women struggle with ADHD (Waite, 2007). The spiraling effect of role expectations and symptoms of ADHD have been found to produce feelings of powerless and self-deprecation, which further minimize a woman’s capabilities (Rucklidge & Kaplan, 2000). Similarly, research examining gender differences in medical education have reported that when exposed to the same level of stress, women exhibit higher levels of symptomatology and are more susceptible to negative stressful life events than men (Hojat, Glaser, Xu, Veloski, & Christian, 1999; Moffat, McConnachie, Ross, & Morrison, 2004; Paro et al., 2010). Further research is needed on the functional impairments experienced by women with ADHD in medical school to clarify the basis of the discrepancy in impairment between men and women with ADHD.
As reported in previous research (Brod et al., 2006), the AAQoL overall score can be used to discriminate known groups: AAQoL scores were higher for participants with lower severity of symptom ratings on the ASRS, and lower for participants with one or more comorbid conditions. In the current study, students diagnosed with anxiety and/or learning disabilities in addition to ADHD reported significant functional impairment in the AAQoL psychological health domain. These students may be at greater risk for academic difficulties because the domain of psychological health provides the foundation on which decisions are made and acted on (Gjervan & Nordahl, 2010).
Students receiving accommodations reported significantly greater symptomatology than those not receiving accommodations, indicating that those students with the greatest severity of ADHD are receiving support. Although ADHD is considered a valid disability covered by the ADAAA legislation, affording college students access to educational accommodations, few investigations have looked at the effectiveness of specific educational accommodations in this population. Further research is needed to examine the impact of academic accommodations for medical students with ADHD, in particular, investigating a possible relation between academic performance, symptom severity, and the granting of extended time on exams or providing a limited distraction-testing environment.
The majority of the sample reported severe ADHD symptoms even though they are currently taking medication. Of those students taking medication, 25% reported taking ADHD medication sometimes, when needed. These findings are similar to those of Advokat, Lane, and Luo (2011) who found that college students with ADHD did not consistently take medication to treat their ADHD, although the majority of the sample agreed that medications helped them academically. Nonetheless, the current findings may indicate that treatment guidelines are insufficient to meet the demands of medical school, in which students routinely have 12- to 16-hr days. Further research is needed to establish appropriate medication treatment guidelines for medical students with ADHD.
The primary limitation of this study is the unique environment of an International Medical School. The stress of living in a foreign country may have affected the level of functional impairment experienced by students enrolled in the study. Despite this important limitation, this study serves as a starting point to examine the experience of students with ADHD in medical school. As the generation of ADA students progresses through undergraduate programs, more adults with ADHD can be expected to matriculate into medical schools. Further research will help determine the appropriate medication, academic accommodations, and gender modifications needed to help medical students with ADHD succeed.
Footnotes
Declaration of Conflicting Interests
The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Funding
The author(s) received no financial support for the research, authorship, and/or publication of this article.
