Key words: Prevalence; Attention-deficit/hyperactivity disorder; College students; Co-morbidity.

Introduction

Attention-deficit/hyperactivity disorder (ADHD) is characterized by an inability to sustain attention, impulsivity, and hyperactivity, and the symptoms are usually recognized before seven years of age¹. Current knowledge from longitudinal data suggests that the majority of children and adolescents diagnosed with ADHD display symptoms in adolescence and adulthood^2-4. ADHD affects approximately 3-7% of the school-aged population¹ and 4% of the adult population^5,6. Several studies have shown an enormous impact of ADHD on the life of the affected person, which results in impairments in multiple domains of adaptive functioning, such as educational and occupational performance and social relationship, as well as an increased risk for additional psychiatric disorders^7-9. Data from several studies show that up to 89% of adults with ADHD have had additional psychiatric diagnoses during their lifetime, with affective disorders, substance use disorders (SUD), and eating disorders being the most prevalent^5,9,10.

The co-morbidity of ADHD and personality disorders has been less frequently studied than the association with Axis-I disorders. However, there are few studies concerning co-morbidity of antisocial personality disorders (APD) and ADHD, with data from longitudinal and cross-sectional studies pointing to an increased co-occurrence of the two disorders, with up to 23% of young adults with ADHD presenting co-morbid APD^7,8.

Recently, college students with ADHD have begun to receive more attention. Findings from college samples suggest that in comparison to the general college population, college students with ADHD are at greater risk for academic and psychological difficulties and for misuse of prescribed stimulant treatment¹¹. Data from college students have shown that students who self-reported high symptoms of ADHD used significantly fewer academic coping behaviors, were less organized and less methodical, had lesser self-control or self-disciplinary behaviors, and procrastinated significantly more than their low-symptom peers¹².

Further, ADHD is a common disorder and associated with high rates of psychiatric co-morbidity but have not been investigated sufficiently in university population. Present study sought to evaluate four hypotheses:

1. The actual prevalence of ADHD among Cumhuriyet University students would be within the range reported from adults' prevalence rates.

2. Students with ADHD would have similar rates of Axis I and Axis II diagnosis with adults.

3. Students with ADHD would have hig-her rates of smoking, drinking, internet use and suicide attempts than those without ADHD.

4. Students with ADHD would have higher rate of grade repetition, legal problems than without.

Methods

Simple random sampling method was used to obtain a representative sample of university population. From the 1,022 students who were informed about the study, 42 students (3.7%) declined to participate in the study. Thus, 980 students participated in the study. Of the study participants, 55.9% (548) were male, and 44.1% (432) were female, with an age range of 17-44 years (mean age, 21.4 ± 2.3 years).

Procedure

This research was carried out on the Central Campus of the Cumhuriyet University. Subjects were selected by using the simple random sampling method. Self-report measures were delivered to previously identified university classrooms. The socio-demographic information form and ASRS were given to 980 students who agreed to participate and gave informed consent. Participation took an estimated 10 to 15 minutes. In the second stage, the SCID-I, SCID II, and ADHD module of MINI Plus were administered to students who scored higher than the cut-off score of 40 (1.5 standard deviation above the mean) on the ASRS for diagnosis. Symptoms of ADHD in both childhood and adulthood were examined with MINI Plus, a form of structured interview. These subjects also filled Adult ADD/ADHD DSM-IV-Ba-sed Diagnostic Screening and Rating Scale. Diagnosis of ADHD was present in 48 students. Structured interviews were administered by two experienced psychiatrist (Dr FM and Dr SK).

Only one student reported that has ADHD diagnosis before the present study and no one reported that use any medication for ADHD.

Approval by the institutional ethical committee of the Cumhuriyet University Faculty of Medicine was obtained prior to the study.

Measures

Socio-demographic Data Form. Questions related to participants' age, gender, marital status, family income, cohabitants in the house, medical history of the subject and his family, perinatal risk factors for ADHD, maternal smoking and alcohol consumption during pregnancy, parental marital discord, Internet habits, and legal history were included in this form.

Adult ADHD Self-Report Scale [ASRS]¹⁵. The ASRS is an 18-item self-report inventory where 9 items are designed to tap ADD symptoms, and 9 items are designed to tap hyperactivity symptoms. Each item is rated on a 5-point Likert scale ranging from "never" to "very often." Concerning the diagnosis of ADHD, screening was performed using the ADHD Self-Report Scale (ASRS), including 18 questions about frequency of recent DSM-IV Criterion A symptoms of adult ADHD, and the diagnosis of ADHD was then confirmed according to DSM-IV diagnostic criteria. The psychometric properties of the Turkish ASRS have been established by using university students¹⁶.

Structured Clinical Interview for DSM-IV Axis-I Disorders. SCID-I is a semi-structured clinical interview inventory developed for the diagnosis of DSM-IV Axis-I disorders. First et al.¹⁷ developed this form; Ozkurkcugil et al. adapted it to Turkish population, and the reliability findings were reported by the same author¹⁸.

Adult ADD/ADHD DSM IV-Based Diagnostic Screening and Rating Scale. This was developed by Turgay. Günay et al. demonstrated that Adult ADHD Rating Scale Turkish version is valid and reliable²¹.

MINI. The MINI is a brief structured interview designed to diagnose Axis I and Axis II according to DSM-IV and ICD-10 criteria. For the purposes of this study, we used the sections of the instrument (MINI-Plus version) ADHD module. This module evaluates diagnosis of child age and adult ADHD according to DSM IV criteria²².

ADHD was included as the dependent variable, and socio-demographic variables were included as independent variables. The statistical analyses were done using the SPSS (version 15.0) computer program; chi-square and Fischer's exact tests were applied. Statistical power was 0.8015 and effect size was 0.02. Statistical significance was defined at the p < 0.05 level.

Results

Nine hundred eighty students participated in the study. Of the study participants, 55.9% (548) were male, and 44.1% (432) were female, with an age range of 17-44 years (mean age, 21.4 ± 2.3 years). For ASRS; mean scores was 26.82 ± 8.46. When 1.5 SD above the mean was accepted as ASRS cut-off (those above 40 points), 99 students were eligible for the second stage. Self-report ADHD prevalence was 10.1% according to ASRS cut-off score. Seventy-nine of this 99 eligible subjects accepted further evaluation. There was no statistically significant difference in gender, marital status, family income, and psychiatric or medical histories of the subjects and their families between those with or without ADHD (p > 0.05). The rate of participants who were diagnosed with ADHD was 4.9% (n = 48). ADHD was found in 48 of 79 students, if 20 students who could not be interviewed were calculated too, adjusted prevalence of ADHD can be calculated as 6.1%.

The distributions of socio-demographic characteristics for those with and without ADHD are shown in Table 1.

Students with ADHD reported significantly more physical illness, academic failure, legal problems, lifetime suicide attempts, and more Internet use (p < 0.05).

Only one student diagnosed with ADHD in this study reported to have had ADHD diagnosis previously.

The most commonly diagnosed lifetime Axis-I disorders in ADHD groups were depressive disorders (58.35%) and anxiety disorders (24.6%). The rate of major depressive disorder was 52.1% (n = 25). Current and lifetime DSM-IV Axis-I disorders are shown in Table 2.

ADHD subtypes were determined according to Adult ADD/ADHD DSM-IV-Based Diagnostic Screening and Rating Scale. The distribution of students with ADHD according to subtype is shown in Table 4 and adjusted distributions according to study population is shown in Table 5.

To date, there have been university surveys evaluating prevalence of ADHD based on self-reports, but this seems to be the first study reporting ADHD prevalence in university students with a clinical interview for ADHD and co-morbid diagnoses. Structured diagnostic interviews increase the reliability and power of the prevalence studies.

Among students in Cumhuriyet University in Turkey, 6.1% of the students were clinically diagnosed with ADHD. Approximately 2 to 8% of the college population has been reported to have clinically significant levels of ADHD symptomatology¹⁴. Dogan et al.²³ found that self-reported ADHD prevalence rates were 2.6% among university students in Turkey with ASRS cut-off accepted as 2 SD above the mean and 6% with ASRS cut-off accepted as 1.5 SD above the mean. The findings of the current study are similar to those reported in a recent study.

A large study by DuPaul et al.²⁴ examined of ADHD symptom prevalence in college population with self report rating 1209 college students across three countries (United states, Italy and New Zealand). They found that 2.9% of male students from US, 7.4% of male Italian students and 8.1% of male students from New Zealand reported significant ADHD symptoms. Female students reported 3.9% from US, 0% from Italy and 1.7% from New Zealand significant ADHD symptoms. In other study of college population; Heilingstein et al. reported that inattentive type was the most common among university students²⁵. Present study found inattentive and combined type more in men, and hyperactive type was found more in female students. The majority of students had combined type of ADHD. The reasons for this difference might be the scale used to assess ADHD subtypes and the characteristic of each studied sample.

With ASRS scale, 10.1 percent of the students meet the adult ADHD criteria, and this diagnosis was confirmed with clinical diagnosis in approximately 6,1%. This evidence suggests, for this sample, about 60% of the identified subjects by ASRS scale has actually adult ADHD.

Relatively few studies have investigated the psychological functioning of college students with ADHD. Heilingstein and Keeling made a systematic chart review and further investigation for 42 students who seek treatment and after the inspection of the charts, these students were diagnosed with ADHD²⁶. In these students, most common presenting problem was ADHD symptoms (55%), followed by mood symptoms (21%), academic under achievement (14%), and non specific learning disability (10%). Co-morbid problems were reported in 55% of the samples. The rate of the depressive disorders was 26%, drug or alcohol abuse or dependence 26%, legal difficulties 12%, anxiety disorders 5%, learning disabilities 2% and eating disorders 2%. Similarly, in this study, there were high rates of Axis I and Axis II disorders in students with ADHD. The most common Axis I disorders were Major Depressive Disorder (MDD), anxiety disorders, and dystimic disorders. Many studies have reported higher rates of Axis I and Axis II disorders in patients with adult ADHD than those without ADHD^2,5,27. The National Co-morbidity Survey Replication (NCSR) found that 38.3% of respondents with ADHD had co-morbid mood disorder, 47.1% had co-morbid anxiety disorder, 15.2% had Substance Use Disorder (SUD), and 19.6% had other impulse-control disorders⁵. Results of ADHD co-morbidity studies were similar to those from the NCS-R: 30% to 35% of patients with ADHD had major depression, 40% to 50% had anxiety disorders, and 40% to 50% had SUD^28,29. Many studies have found that students with ADHD have had more depressive symptoms than others^14,26,30. In a review of studies in community samples by Angold et al., it has been reported that the rate of MDD in youths with ADHD was 5.5 times higher than those without ADHD³¹. A common notion is that the cumulative effects of ADHD-related impairments and the negative environmental circumstances may lead to depression in some patients with ADHD³².

Only one patient was diagnosed with bi-polar disorder (2.08%) in this study. Relationship between bipolar disorder and ADHD is controversial. A systematic review by Wingo and Ghaemi reported that co-morbidity of bipolar disorder and ADHD is fairly common; however, this co-morbidity has been insufficiently studied³³. Cross-sectional design of this study and collection of data in a nonclinical population might be the reason for the low rate of bipolar diagnosis in subjects with ADHD. Long-term studies in patients with ADHD could be more informative and more reliable to understand this co-morbidity. Among students with ADHD, none was diagnosed with SUD. In Turkey, particularly in this region of the country, alcohol and other substance use may be lower or may not have been reported because of traditional and religious reasons.

Among students with ADHD, 22.9% were diagnosed with an Axis II disorder, most common of which were cluster C personality disorders [14.58% avoidant, 10.42% Obsessive Compulsive Personality Disorder (OCPD), 10.42% dependent]. Borderline personality disorder was the second most common Axis II diagnoses. APD rates were 6.25%. Studies report an increased risk of cluster B (primarily borderline and APD) and C personality disorders in patients with ADHD^28,34. Miller and colleagues showed that individuals diagnosed with childhood ADHD were at increased risk for personality disorders in late adolescence, specifically borderline, antisocial, avoidant, and narcissistic personality disorders³⁵. The findings of this study, with a high rate of class B and C personality disorders in subjects with ADHD is fairly consistent with the literature.

Because there have been no study evaluating Axis II diagnoses among university students, comparisons could not be possible. The rate of antisocial personality disorder reported in clinical and community samples was higher than the rate reported in this study. Nonetheless, alcohol use and legal problems were higher in subjects with ADHD compared with those without ADHD. Diagnosis of antisocial personality disorder rates higher than this study results is found in clinic and community studies. To our knowledge, no study has evaluated Axis II pathology among university students with ADHD, so this could not be compared. However, legal problems and smoking and alcohol use were higher in students with ADHD than those without ADHD in this study.

Disruptive behaviors, such as aggression, impulsivity, violence, antisocial behavior, and psychopathy, have been shown to be associated with having a diagnosis of ADHD³⁶. Studies with college students showed that students with ADHD experienced more legal problems than those without ADHD^14,26. Similarly, in this study, students with ADHD reported more legal problems than those without ADHD.

Students with ADHD reported significantly more physical illness than those without ADHD. Similar to these findings, studies have reported more medical problems, more emergency room visits³⁹, and more health expenditure in youth and children with ADHD⁴⁰.

Students with ADHD reported significantly more grade repetition. ADHD is characterized by impairments in academic functioning, memory, and executive functions²⁸, which might be the reason for higher rate of academic failures and repetitions among ADHD subjects.

In this study, students have reported spending several hours per day surfing the Internet. The ADHD group spent significantly more time in the Internet than those without ADHD. Approximately 30% of this group spent more than 4 hours per day surfing the Internet. Significant associations have been reported between the level of ADHD symptoms and the severity of Internet addiction⁴¹.

In students with ADHD, smoking and alcohol use were significantly more than those reported in other studies^27,30. This study did not assess the severity of these habits. The relationship between smoking, alcohol use, and ADHD has been well known; for example, Rabiner et al. reported that students with ADHD were 2.5-3.5 times more likely to have smoked cigarettes than students without ADHD³⁰.

In this study, 48 students were diagnosed with ADHD, despite receiving psychiatric help for other reasons, only one was previously diagnosed with ADHD. The reason of this may be recognizing of ADHD may not be enough in Turkey. Nur and Kavakci, reported in their study that ADHD is not known sufficiently among the primary school teachers. Reasons for missing the diagnosis of ADHD should be investigated by physicians⁴².

In this sample, all of the students diagnosed with ADHD were invited to the hospital for psycho-education and standard clinical care. Few of the invited students (n = 5) received these services and all of them dropped out.

Limitations

One of the limitations of this study is the lack of assessment of the group whose ASRS score is under established cut off value for axis I and II diagnoses. Another limitation of the present study was that interviews were conducted only with the students. For the diagnosis of ADHD, information is required from many sources, such as parents, teachers. Moreover, this study did not examine students' detailed psychological, social and academic problems.

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Correspondence: ]]> Dr. Onder Kavakci
Psikiyatri AD
Cumhuriyet Universitesi Tip Fakultesi
TR-58140 Sivas, Turkey
Fax: +90 364 258 13 05
E-mail: okavakci@yahoo.com

Received: 10 March 2011
Revised: 30 August 2011
Accepted: 18 November 2011