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Understanding Gender Differences in Adult ADHD PDF

55 Pages·2017·0.41 MB·English
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University of Colorado, Boulder CU Scholar Undergraduate Honors Theses Honors Program Spring 2018 Understanding Gender Differences in Adult ADHD Julia Squeri [email protected] Follow this and additional works at:https://scholar.colorado.edu/honr_theses Part of theClinical Psychology Commons, and theGender and Sexuality Commons Recommended Citation Squeri, Julia, "Understanding Gender Differences in Adult ADHD" (2018).Undergraduate Honors Theses. 1603. https://scholar.colorado.edu/honr_theses/1603 This Thesis is brought to you for free and open access by Honors Program at CU Scholar. It has been accepted for inclusion in Undergraduate Honors Theses by an authorized administrator of CU Scholar. For more information, please [email protected]. Running head: UNDERSTANDING GENDER DIFFERENCES IN ADULT ADHD 1 Understanding Gender Differences in Adult ADHD: Prevalence, Diagnosis, and Associated Impairment. Julia Squeri University of Colorado at Boulder Defense Date: April 4th, 2018 Thesis Advisor: Dr. Erik Willcutt, Psychology and Neuroscience Committee Member: Dr. Mark Whisman, Psychology and Neuroscience Committee Member: Michele Simpson, Farrand Residential Academic Program Key Words: ADHD, Gender, Prevalence, Services, Impairment UNDERSTANDING GENDER DIFFERENCES IN ADULT ADHD 2 Abstract The legitimacy and acceptance of adult attention deficit/hyperactivity disorder (ADHD) as a valid diagnosis is a relatively new development in the field of ADHD research. Research surrounding the prevalence, diagnosis, manifestation, and associated impairments of adult ADHD has not been conducted to the extent of the research existing on childhood ADHD, and few studies have examined the nature of gender differences in adult ADHD. The current study obtained parent and self-report ratings of ADHD symptoms for an unselected sample of college students to test competing hypotheses regarding gender differences in the prevalence of adult ADHD and associated access to clinical services. This study also assessed the impairments caused by ADHD symptoms in a variety of domains by administering an extensive battery of impairment measures. The results of this study showed that the gender prevalence difference differed depending on the rater. Most importantly, our results provide compelling evidence that adult ADHD is not a benign condition and results in significant impairment across a variety of domains pertaining to academic, occupational, and other important domains of life functioning. UNDERSTANDING GENDER DIFFERENCES IN ADULT ADHD 3 Introduction Background: ADHD Definition. Attention deficit/hyperactivity disorder (ADHD) is a neurodevelopmental disorder defined by impairing levels of inattention, disorganization, and/or hyperactivity and impulsivity (American Psychiatric Association, 2013). Symptoms of ADHD begin in childhood and often persist into adulthood, resulting in impairments in social, academic, and occupational functioning. ADHD symptoms often overlap with those of other externalizing disorders, and it is often co-morbid with conduct disorders, learning disorders, anxiety disorders, Tourette’s syndrome (and other tic disorders), and bipolar/mood disorders (Jensen, Martin, & Cantwell, 1997). Prevalence. The 5th edition of the DSM estimates a worldwide prevalence of 5% of children and 2.5% of adults (APA, 2013). Willcutt (2012) also found a prevalence of 5% in children. However, Willcutt (2012) and Barkley, Murphy, and Fischer (2008) found estimates of 5% in the adult population. Further, Kessler et al. (2006) estimates that this prevalence rate in adults may be conservative; from a research methods perspective, the reliance on self-report as well as debate over the appropriateness of DSM criteria for identifying ADHD in adults could result in an underestimate. Further research is needed to determine the actual rate of ADHD occurrence in adults. Subtypes. Although the fifth edition of DSM (DSM-V) was released in 2013, DSM-IV and DSM-V criteria for ADHD are very similar, and nearly all research studies to date are based on DSM-IV UNDERSTANDING GENDER DIFFERENCES IN ADULT ADHD 4 criteria (including the current project). Therefore, for the remainder of this thesis we focus on DSM-IV criteria for ADHD. The DSM-IV defines three nominal subtypes of ADHD (APA, 1994; APA, 2000). These subtypes are based on differential elevations in two symptom domains; symptoms of inattention and symptoms of hyperactivity-impulsivity. As described by DSM-IV criteria, the inattention domain pertains to symptoms of the disorder such as failure to pay attention to detail, difficulty sustaining attention and remaining focused, problems with organization, and being easily distracted by extraneous stimuli. The hyperactivity-impulsivity domain refers to symptoms of more externalizing behaviors, such as fidgeting, inability to sit still, restlessness, excessive talking/interrupting others, and acting as if “driven by a motor”. The predominately inattentive type (ADHD-I) refers to individuals with dysfunctional levels of inattention, but not hyperactivity-impulsivity. Predominately hyperactive-impulsive type (ADHD-H) is dysfunctional levels of hyperactivity-impulsivity but not inattention; and the combined type (ADHD-C) describes individuals who present a significant level of symptoms in both domains. ADHD-I is both the most common subtype in general population estimates and specifically in adult populations (Willcutt, 2012). ADHD-H is the least common subtype and is found disproportionately in younger children. Adult ADHD Historical context. Compared to the extensive body of research that exists on childhood ADHD, adult ADHD has only recently become a focus of widespread clinical attention (Kessler et al., 2006). As Williamson and Johnston (2015) observed, with regards to adult ADHD “…research in the area remains relatively new and a comprehensive and coherent picture of the defining UNDERSTANDING GENDER DIFFERENCES IN ADULT ADHD 5 characteristics of ADHD in adulthood is only beginning to emerge”. The publication of the DSM-IV in 1994 introduced adult ADHD as a valid diagnosis (APA, 2000). However, the diagnostic criteria did not change and criteria were developed primarily on and for children, raising questions over the appropriateness of the criteria for diagnosing ADHD in adults (Barkley et al., 2008; Kessler et al., 2006). Additionally, the DSM-IV still included an age-of onset criteria, specifying that some hyperactive-impulsive or inattentive symptoms that result in impairment must have been present before age seven (APA, 2000). Studies testing the validity of the DSM-IV age of onset criterion suggest that it represents a somewhat arbitrary threshold that lacks empirical support (Willcutt, 2012) and "imposes severe limitations on the use of this criterion with adults” (Barkley et al., 2008). Based on these results the 5th edition of the DSM (DSM-V) removed this feature; while still defining ADHD as beginning in childhood, an earlier age of onset is not specified because of the difficulties in establishing a precise age of childhood onset retrospectively (APA, 2013). Adult ADHD and impairment. ADHD is associated with impairment in a variety of major life activities. The DSM-IV criterion for impairment specifies that ADHD symptoms must lead to clinically significant impairment in social, academic, or occupational functioning (APA, 2000). The association between ADHD and functional impairment in childhood has been well established, but far less research has examined impairment in adult ADHD. Barkley et al. (2008) reported that adults with ADHD frequently report difficulties in a variety of impairment domains, including workplace behavior, occupational function, educational settings, social functioning, dating/relationships, problems managing money, driving, maintaining their health, and more. Barkley et al. (2008) distinguishes the symptoms of ADHD from their associated impairments by UNDERSTANDING GENDER DIFFERENCES IN ADULT ADHD 6 defining symptoms as the actions of an individual (cognition/behavior), and impairments as the consequences of those actions (outcomes/social costs). The domains of impairment specified in the DSM-IV that must be met for a diagnosis are restricted to those of home, school, and work, which fails to encapsulate the full array of domains where adults must be able to function effectively (Barkley et al., 2008). ADHD and Gender Why is gender an important consideration? Independent of ADHD, gender has important implications in virtually every area of life. Countless social scientists have long noted the role gender has in influencing and structuring individual behavior, attitudes, and schemas (Ridgeway & Correll, 2004; Valian, 2005; West & Zimmerman, 1987). Furthermore, gender often has a powerful impact on access to resources and opportunities (Bobbitt-Zeher, 2011; Jacobs, 1996; Read & Gorman, 2010). Gender differences have been a long standing and well documented issue in mental health. Underrepresentation of women in clinical trials and other studies, potential biases in diagnostic criteria or procedures, potential differences in treatment, and differential access to resources represent a few areas where women are often disproportionately disadvantaged (Hartung & Widiger, 1998; Read & Gorman, 2010; Schmucker & Vesell, 1993). Widespread societal stereotypes about the relation between gender and specific aspects of mental health may affect both genders negatively. For example, a study by Striegel-Moore et al. (2009) looking at gender differences in the prevalence of eating disorders found that while few studies of eating disorders include men, there was still a significant group of men who reported eating disorder symptoms. In the same way that eating disorders have been largely assumed to occur mainly in females, ADHD has been stereotyped as a disorder primarily occurring in males. UNDERSTANDING GENDER DIFFERENCES IN ADULT ADHD 7 Understanding the relationship between ADHD and gender in adulthood is critical to develop a full understanding of the disorder. When considering the broad implications of gender in everyday life, it underscores the importance of understanding the relationship between gender and symptoms of mental disorders such as ADHD. The stereotype threat has been well documented in studies on ethnicity and race, starting with Steele and Aronson’s (1995) essays on racial vulnerability. When an individual belongs to a group for which a negative stereotype exists, and the individual is in a situation that the negative stereotype pertains to, the anxiety that arises in these situations can result in impaired performance on a task. Given this, it is plausible that females with ADHD are susceptible to a ‘double stereotype threat’, thus causing them greater stigmatization and impairment (Williamson & Johnston, 2015). Negative stereotypes about female’s competence in a variety of domains combined with the stereotypes of academic impairment and overall impaired functionality in ADHD could make females with ADHD even more vulnerable to the stereotype threat than perhaps males with ADHD, and/or males/females without ADHD (Fedele et al., 2012; Williamson & Johnston, 2015). Given the pervasive role gender plays in almost every area of society, it is necessary to understand the relationship between gender and ADHD to have a comprehensive and complete understanding of the disorder as well as the implications of ADHD in a variety of life domains. Further, it is necessary to understand adult ADHD in males and females to ensure the best treatment in clinical practice. Unexplained ADHD prevalence difference in males and females. Differential gender prevalence. Currently, there appears to be a higher prevalence of ADHD in males compared to females, but these prevalence rates vary across studies and settings. UNDERSTANDING GENDER DIFFERENCES IN ADULT ADHD 8 Male (M) to female (F) ratios range from 2:1 to 3:1 in community samples (APA, 2000; Bauermeister et al., 2007; Willcutt et al., 2012), and in clinic samples of children the M:F ratio is often as high as 10:1 (Biederman et al., 2002). In contrast, prevalence studies of adults suggest that M:F ratios for ADHD range from 1:1 to approximately 2:1 regardless of setting (Willcutt et al., 2012; Williamson & Johnston, 2015). The etiology of the higher prevalence in males than females has yet to be determined (Willcutt, 2012). Further research must be conducted to determine whether this prevalence difference reflects a true gender difference in risk for ADHD, or if it is potentially an artifact of methodological or sampling errors. For example, it remains uncertain whether more males than females have ADHD or if males are simply diagnosed with ADHD at higher rates. In addition, further research is needed to examine why the prevalence difference in ADHD is smaller in adult populations than in children. In the remainder of this section we describe two broad categories of explanations for the gender difference in the prevalence of ADHD in general, as well as for the observed narrowing of the gender gap. Potential explanations for a gender difference in the prevalence of ADHD. Bias hypotheses. Before attempting to identify the etiology of the difference in prevalence between males and females, it is critical to first test whether there is truly a difference in the population. Bias hypotheses propose that the methods used for identifying individuals with a psychological disorder are biased towards the identification and/or treatment of one gender (Hartung & Widiger, 1998). This would suggest that the traditional methods used to assess and diagnose ADHD are biased towards the identification of males, resulting in an under identification of females or over identification of males. UNDERSTANDING GENDER DIFFERENCES IN ADULT ADHD 9 Clinic referral bias. In its most extreme form, the clinic referral bias hypothesis suggests that there is no gender difference in the prevalence of ADHD in the population, but males with ADHD are more likely to be referred for clinical services than are females with ADHD. Differences in the M:F ratio of ADHD in population based studies (3:1) differs significantly from that seen in clinical samples, which range between 5:1-9:1 (APA, 2000; Bruchmüller, Margraf, & Schneider, 2011; Gaub & Carlson, 1997). This suggests that more males than females are referred to services for ADHD (Bruchmüller et al., 2011), but that the clinic referral bias is not the full explanation for the gender prevalence difference, as we do see a smaller population difference that clinic referral does not explain. Nonetheless, the higher percentage of males with ADHD in clinic settings underscores the need to understand the gender differences in the prevalence of ADHD as it occurs in the population and in clinical samples. In this study, we had the unique and important opportunity to test this theory with an unselected undergraduate sample that should not be influenced by clinical referral bias. Further, because we assessed how many participants had received clinical services for ADHD, we had the unique opportunity to test how many individuals who meet symptom criteria for ADHD were then referred for clinical services. If males in our sample received clinical services at a higher rate than females, this would support the clinic referral bias as at least part of the explanation for the higher prevalence of ADHD in males in clinic samples. Rater bias. The rater bias hypothesis suggests that males and females will be rated differently even when they exhibit the same behaviors (Hartung & Widiger, 1998). Childhood ADHD diagnoses are typically made based on symptom ratings by parents and/or teachers, but inter-rater reliability between teacher, parent, and self-reports of ADHD symptoms has been shown to be consistently low to moderate (Willcutt, 2012). One potential reason for this low

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valid diagnosis is a relatively new development in the field of ADHD few studies have examined the nature of gender differences in adult ADHD.
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