Abstract DEFENSE MECHANISMS AND SOCIAL ANXIETY AS RISK FACTORS FOR COLLEGE ALCOHOL ABUSE AND BINGE DRINKING by Rachel L. Patrick Review of the literature will show that the presence of social anxiety is often linked to the presence of alcohol abuse. Additionally, previous work has focused on the link between the use of different defense mechanisms and alcohol abuse. The current study aims to merge these two perspectives and discover if the use of certain defense mechanisms and the presence of social anxiety, in a college-aged population, can be seen as risk factors for alcohol abuse and binge drinking. 286 students were recruited to complete measures on social anxiety, defense mechanisms, and drinking patterns. Results show that individuals low in social anxiety who employ immature defense mechanisms were more likely to have score highly on a measure of alcoholism, and individuals low in social anxiety who use either mature or immature defenses were more likely to binge drink. Additional analyses were also conducted, including a brief look at some demographic variables. Possible explanations of these findings, and limitations are discussed. DEFENSE MECHANISM AND SOCIAL ANXIETY AS RISK FACTORS FOR COLLEGE ALCOHOL ABUSE AND BINGE DRINKING A Thesis Submitted to the Faculty of Miami University in partial fulfillment of the requirements for the degree of Master of Arts Department of Psychology by Rachel Lynn Patrick Miami University Oxford OH 2005 Advisor: ____________________________ Karen Maitland-Schilling, Ph.D. Reader: _____________________________ Terri Messman-Moore, Ph.D. Reader: ______________________________ Heather Claypool, Ph.D. Defense mechanisms and social anxiety as risk factors for college alcohol abuse and binge drinking Recently, there has been an increased focus on problem drinking among college students (Brower, 2002; Read, Wood, Christopher, Maddock, & Palfai, 2003; Wechsler, Lee, Kuo, & Lee, 2000). Much of the research, as well as national media reports, seem to focus on binge drinking among college students or report alarmingly high prevalence of regular consumption of alcohol in amounts that seem problematic (Keeling, 2002; Pitkanen, 1999; Read et al., 2003; Wechsler, Dowdall, Davenport, & Castillo, 1995; Wechsler et al., 2000). Broadly-based education or prevention programs that have been put in place have met with mixed success. Clearly, normative expectations play a part in the alcohol abuse in this population (Carey, 1993; Hussong, 2003; Keeling, 2002; Lewis & O'Neill, 2000). The cultural supports for alcohol use in this population are prevalent (Hussong, 2003; Keeling, 2002), so much so that many adolescents may equate going off to college with freedom to consume alcohol. It has been reported that college student binge drinkers, and college student alcoholics make up 10% of the adult population who drink, and account for 60% of all alcohol consumed (Wolburg & Treise, 2004). However, even within what seems to be a normative age- or stage-related understanding of alcohol use and abuse, it is obvious that other factors come into play in influencing who will and who will not abuse alcohol. Differences in values—liberal or conservative, religious or non religious for example—relate to likely patterns of abuse as does the role of self-esteem (Hull & Schnurr, 1986). Many researchers have attempted to establish links between various personality factors and alcohol abuse. Patterns of responses on the MMPI have shown alcoholics to score relatively high on scale 4, which is a measure of Psychopathic Deviance (Graham & Strenger, 1988; Kammeier, Hoffman, & Loper, 1973; Overall, 1973). Younger alcoholics have been shown to have higher scale 4 elevations when compared to older alcoholics (Graham & Strenger, 1988). Data on youthful alcohol abusers have also shown that the most common code type is a 24/42, which means that the individual generally tries to create a favorable impression, but secretly holds back his/her own feelings of inadequacy, self-consciousness, passive dependency, and discomfort in social interactions (Graham, 1987; Graham & Strenger, 1 1988; Kammeier et al., 1973). Research has identified different negative and positive reinforcing properties of alcohol connected to different personality dispositions toward negative and positive affectivity. People with negative affectivity may use alcohol to suppress negative affects, whereas people with positive affectivity may use alcohol for stimulation (Widiger, Verheul, & van den Brink, 1999). Unfortunately, most of these studies shed light on the more global problem of alcohol abuse across the lifespan and may do little to help us understand risk factors for alcohol abuse in a college-age population. Psychodynamic formulations of personality are based in a developmental understanding of the role of defense mechanisms underlying personality structures, which allow an individual to adjust their conscious thoughts in order to attain the highest level of positive affect and the lowest level of negative affect (Fenichel, 1945; Westen & Gabbard, 1999), may be useful in identifying risk factors for alcohol abuse in a college sample. If the transition to college is understood as a time of particular stress, with a variety of new demands for adaptation placed upon the individual, adequacy of adaptation and adjustment would likely relate to adequacy of preexisting personality structure as manifested in defensive styles (Westen & Gabbard, 1999). Defense mechanisms have long been thought of as being grouped into hierarchical levels (Freud, 1936), where defenses that are seen as pathological are usually used most frequently by individuals with severe pathology, but they can also be utilized by healthy individuals when brought under stress (Westen & Gabbard, 1999). For a college age student, stress can be brought on by the demands of adjustment to new social contexts as well as new demands of performance in an academic context, both of which relate directly to adequacy of functioning in the social domain. Some college students may feel that there is pressure to drink to fit in with a new culture, or they may feel that drinking will help them deal with their new anxieties. This drinking manages to be a problem for some college students, while others are able to keep it under control. In social situations, it is assumed that many people will feel some level of anxiety. Excessive social anxiety is a form of psychopathology, and in psychodynamic traditions it has been related to the use of different defense mechanisms (Foley, Heath, & Chabot, 1986; Mulder, Joyce, Sellman, Sullivan, & Cloninger, 1996; 2 Pollock & Andrews, 1989). The defense mechanisms that you have at your disposal will determine whether or not you deal successfully with the anxiety. More adequate defenses will allow you to function in the anxiety provoking situation with little or no sign that you are actually anxious. Less adequate defense mechanisms, on the other hand, will allow the anxiety to manifest itself in the form of social anxiety (Pollock & Andrews, 1989). The transition to college is accompanied by new anxieties and challenges. These new situations may challenge even the defense structure of someone with mature/adequate defense mechanisms. Those with inadequate defense mechanisms will be even more prone to experience anxiety with this transition. One way to deal with the anxiety that is associated with using inadequate defenses is to self-medicate with alcohol (Carrigan & Randall, 2003). The atmosphere of college, with drinking being more permissible, and even encouraged, may put students at an increased risk to turn to alcohol to self-medicate the new anxieties that their defenses are not equipped to handle. Viewing social anxiety as a risk factor for possible problematic drinking among college students, I have decided to look at defense mechanisms as a possible means for differentiating among college students who may be more prone to engage in problematic drinking behaviors. Social Anxiety Social anxiety (or social phobia) is the marked and persistent fear of one or more social or performance situations in which the person is exposed to unfamiliar people or to possible scrutiny by others (Biedel, Turner, & Morris, 1995). It is the most common of all the anxiety disorders (Westenberg, 1999), and recent work has found it to be the third most common psychiatric disorder (Ham, Hope, White, & Rivers, 2002) with a lifetime prevalence in the general population estimated between 7% and 13% (Ham et al., 2002; Wittchen & Fehm, 2001). According to Antony and Swinson (1998), the experience of social anxiety can be thought of as being on a continuum, with some people appearing to never experience it, while others experience it so severely that they avoid social situations altogether. This could even go so far as to influence going to work, and spending time with one’s own family. Sufferers are more likely to be unemployed, live alone, be unmarried or divorced, and of a lower socio-economic status (Lepine & Pelissolo, 2000). 3 There are several criteria that professionals use to define social anxiety disorder. These include: the experience of intense fear of one or more performance situations, in which the person fears they will do something embarrassing or show signs of anxiety; becoming anxious or panicky when exposed to a feared social situation; recognizing that the fear is out of proportion to the real danger; avoiding the situation, or enduring it with intense discomfort; the anxiety leads to significant interference in functioning; the problem has lasted at least six months; and the social anxiety is not due to another problem (Antony & Swinson, 1998). A person who has an immediate family member with social anxiety is at a much higher risk of developing social anxiety when compared to the average person. It is still unclear if there is a biological basis for this relationship, or if it is a result of modeling (Antony & Swinson, 1998; Wittchen, 2000). Sufferers hold negative beliefs about self worth that are circumscribed to social situations, as opposed to being more global (Norton, Buhr, Cox, Norton, & Walker, 2000). There are two subtypes of social anxiety disorder. The first type is the generalized type, in which the individual fears a multitude of social and performance situations. This type is generally recognized as the most disabling form of the disorder (Lepine & Pelissolo, 2000; Wittchen & Fehm, 2001), and accounts for 75% of social anxiety diagnoses (Lydiard, 2001). The second subtype is the non-generalized form, in which only two or three situations are feared (Westenberg, 1999). Public speaking seems to be the most common fear-provoking situation in this subtype of social phobia (Wittchen & Fehm, 2001). In both subtypes, avoidance of the feared social situation(s) is a common coping strategy (Wittchen & Fehm, 2001). The onset of social anxiety is almost always in childhood or adolescence, with most cases emerging by age 19 (Crum & Pratt, 2001; Lepine & Pelissolo, 2000; Wittchen, 2000; Wittchen & Fehm, 2001). The condition is chronic, and has an average duration of about 20 years (Westenberg, 1999). It also appears to affect women twice as often as men (Lepine & Pelissolo, 2000; Lydiard, 2001), and some suggest higher rates among African Americans (Crum & Pratt, 2001). Despite growing awareness of the prevalence of social anxiety, it is often left undetected, and therefore untreated (Crum & Pratt, 2001; Lepine & Pelissolo, 2000). A treatment plan that includes social skills training, graduated exposure, systematic 4 desensitization, imaginal flooding, and other cognitive-behavioral therapies may prove to be effective (McKeehan & Martin, 2002). Social Anxiety and Problem Drinking Additional difficulties associated with social phobia can occur when the individual begins to use alcohol as a coping mechanism. Some individuals with social anxiety state that they find alcohol helpful in relieving anxiety in feared social situations (Lepine & Pelissolo, 1998). Social anxiety, along with other forms of interpersonal dysfunction, have been found to be significant factors in determining problem drinking, especially if the individual is in a stressful social situation (Hartman, 1986). The prevalence of alcohol problems in patients with social phobia is generally reported at 10-20%, though some studies find as high as 57%, and The National Comorbidity Survey found a lifetime prevalence of 24% (Lepine & Pelissolo, 1998). Individuals with social anxiety disorder are two to three times more likely then those who do not have the disorder to have had alcohol abuse problems (Ham et al., 2002; Lepine & Pelissolo, 1998). Those who have alcohol abuse problems and suffer from social phobia seem to view the social phobia as being their greater problem (Stravynski, Lamontagne, & Lavallee, 1986). Some researchers believe that the use of alcohol may be due to a tendency to selfmedicate, and relieve some of the tensions arising from social anxiety disorder (Crum & Pratt, 2001; McKeehan & Martin, 2002; Stravynski et al., 1986). The self-medication hypothesis makes three assumptions: (1) the anxiety must predate the use of alcohol; (2), the alcohol should somehow relieve the symptoms of the social anxiety; and (3), this symptom relief leads to continued and excessive use of alcohol (Chutuape & de Wit, 1995). A similar hypothesis is known as the tension-reduction hypothesis, and it states that the consumption of alcohol is reinforced by the reduction in the intensity of an unpleasant emotional state (Hartman, 1986). These hypotheses are both a bit of a paradox, though, because some have noted that alcohol can actually increase anxiety (Schuckit et al., 1997). Still, it is expected that if the individual believes that drinking will alleviate feelings of stress, then it is predictable that social situations that are perceived as stressful will lead to increases in drinking (Hartman, 1986). 5 It has been noted that the presence of interpersonal dysfunction and social anxiety are important determinants of problem drinking. This social anxiety can be most salient in stressful social situations (Hartman, 1986). One study found no significant difference in the amounts of alcohol consumed by alcoholics and non-alcoholics in non-stressful social situations. Yet, when both groups (alcoholics and non-alcoholics) were told that their responses in similar social situations were inadequate, the alcoholics drank more (Miller, Hersen, Eisler, & Hilsman, 1974). Stravynski et al., (1986) found that 30% of patients in an alcoholism rehabilitation program viewed their social anxiety as the main problem, which was equal to the percentage that actually viewed alcoholism as their main problem. Eighty percent of the patients with the co-morbid disorder reported that being observed in groups was their most difficult situation, and feeling vulnerable and sensitive to the opinion of others was their ultimate fear. One potentially stressful time in the life of an individual may be when that person enters college. Along with the new freedoms of college life come new responsibilities, decisions, and situations that may be anxiety provoking. If individuals enter college with social anxiety, they will most likely be at a greater risk for developing alcohol abuse problems, if they don’t already have them. Because alcohol is generally available at many social functions in college, it is considered to be socially appropriate to participate in drinking. These functions may trigger social anxiety for certain individuals, and the availability of alcohol, along with alcohol’s high level of social acceptance, make some individuals vulnerable to using it to alleviate anxiety (Carrigan & Randall, 2003). College Drinking Parties, on-campus living, athletics, and social interactions are all considered desirable aspects of going to college, unfortunately they are also all closely tied to binge drinking in college students (Wechsler et al., 1995). Binge drinking has most currently been defined differently for males and females. In men, consuming five or more drinks in a row once in a two week period is considered binge drinking. For women binge drinking occurs when four or more drinks are consumed in a row at least once in a two week period (Wechsler et al., 2000). 37% of college students are considered moderate 6 drinkers, and 19% are considered heavy drinkers (O'Hare, 1990). Only about 10% of students on college campuses report that they do not drink at all (Brower, 2002). Heavy episodic, or binge drinking, is the leading cause of preventable death on college campuses (McCabe, 2002). Students who attend college are at a higher risk for such heavy episodic drinking than their peers who do not attend college (Wechsler et al., 1995) and entrance into college sets the ground for a rapid increase in alcohol consumption (Turner, Larimer, & Sarason, 2000). It is estimated that almost 90% of college students use alcohol, with as many as 45% of college students being considered binge drinkers (Turner et al., 2000). Just over 28% are considered frequent binge drinkers, meaning binge drinking three or more times in a two week period (Wechsler et al., 1995; Wechsler et al., 2000). In a college sample, being white, male, and single elevates the risk of bingedrinking (Wechsler et al., 1995), as well as residence in a fraternity house (McCabe, 2002). Having a 3.0 GPA or lower may also be related to binge drinking, and majoring in business is also predictive of college binge drinking (Wechsler et al., 1995). A college student does not need to participate in binge drinking to have problems with alcohol use. It has been reported that nearly 80% of college students who drink at all have experienced some form of negative consequence as a result of their alcohol use (Engs, 1977). If a student continues to drink, even with the threat of personal, legal, professional, and academic difficulties, then they are considered to have an alcohol abuse problem (Brower, 2002). It is estimated that 40% of college students would fulfill the criteria of having an alcohol abuse problem (Burke & Stephens, 1999). Defense Mechanisms Overview Defense mechanisms are patterned feelings, thoughts, or behaviors that are relatively involuntary and arise in response to perceptions of psychic dangers. They are designed to hide or alleviate the conflicts or stresses that give rise to the anxiety signal (Vaillant, 1986; Wastell, 1999). The term defense mechanism is used to describe not only an unconscious intrapsychic process, but also to describe behavior that is either consciously or unconsciously designed to reconcile internal drive with external demands (Bond, 1986). You can’t point to a particular behavior and simply state that it is a sign of 7 an underlying defense. Everything must be set within the context of the individual’s other actions, expressions of meaning, and affect (Hauser, 1986). Coping and defense mechanisms may be differentiated on the basis of their status as conscious or unconscious processes and on the basis of their being intentional or unintentional operations (Cramer, 2000). Three major categories of defense mechanisms are commonly noted: immature, neurotic, and mature (Bond, 1986). Individuals seem to utilize the different types of defenses in a developmental way, utilizing the defenses in a hierarchical fashion as they age (Bond, 1986; Freud, 1936; Westen & Gabbard, 1999). There is a shift from preoccupation with control of raw impulses with the immature defenses, to preoccupation with all-important others with the neurotic defenses, and then to creative expression of one’s self with the mature defenses (Bond, 1986; Freud, 1936). Immature defenses can usually be seen in healthy individuals before the age of 15. These defenses are used to relieve stress due to the threat of interpersonal intimacy, or the threat of the loss of interpersonal intimacy. These defenses should change as the person matures, or as interpersonal relationships improve. The immature defenses typically include: projection, passive-aggression, acting out, isolation, devaluation, autistic fantasy, denial, displacement, dissociation, splitting, rationalization, and somatization (Vaillant, 1986). Neurotic defenses are common in healthy individuals between the ages of three and 90, in neurotic disorders, and in the mastery of acute stress. These defenses are used to change private feelings, or the expression of instincts. The neurotic defenses include: undoing, pseudoaltruism, idealization, and reaction formation (Vaillant, 1986). Mature defenses are found in individuals who are between the ages of 12 to 90. These defenses allow the individual to integrate reality, interpersonal relationships, and private feelings. Under stress, though, users of mature defenses may revert back to a less mature form. The mature defenses include: sublimation, humor, anticipation, and suppression (Vaillant, 1986). Table 1 provides a description of the different defense mechanisms in relation to how people use them to deal with emotional conflicts, or internal and external stressors. 8 In the short run, defenses may be successful in ameliorating incapacitating anxiety and providing the highest level of adaptation possible. In the long run, especially if they interfere with problem-focused coping, defenses are likely to hinder successful adaptation. Use of immature defenses is found to be related to high symptom scores on the Global Severity Index of the SCL-90 (Cramer, 2000). Defense scores based on clinicians’ ratings have been found to predict adequacy of interpersonal and global functioning, with immature defenses being a negative indicator (Cramer, 2000). Table 1 – Descriptions of Defense Mechanisms [adapted from Glossary of Defense Mechanims for DSMIIIR by the Advisory Committee on Defense Mechanisms, in (Vaillant, 1986)] Defense Mechanism Immature Defenses Projection Passive-Aggression Acting Out Isolation Devaluation Autistic Fantasy Denial Displacement Dissociation Splitting Rationalization Somatization Neurotic Defenses Undoing Psuedo-Altruism Idealization Reaction Formation Mature Defenses Sublimation Humor Anticipation Suppression Description Falsely attributes unacknowledged feelings, impulses, or thoughts to others Indirectly and unassertively expresses aggression towards others Acting without reflection or apparent regard for negative consequences Unable to simultaneously experience the cognitive and affective components of an experience (the affect is kept from the consciousness) Attributes exaggerated negative qualities to self or others Uses excessive daydreaming as a substituted for human relationships, more direct and effective action, or problem solving Refuses to acknowledge some aspect of external reality that would be apparent to others Redirects a feeling about, or response to, an object onto another less threatening object Temporarily alters the integrative functions of consciousness or identity Fails to integrate the positive and negative qualities of self and others into cohesive images (either all-good, or all-bad) Devises reassuring/self-serving but incorrect explanations for behavior Becomes preoccupied with physical symptoms disproportionate to any actual physical disturbance Utilizes behavior designed to symbolically make amends for or negate previous thoughts, feelings, or actions Becomes dedicated to fulfilling the needs of others, in part as a way to fulfill his/her own needs Attributes exaggerated positive qualities to self or others Substitutes behavior, thoughts, or feelings that are diametrically opposed to his/her unacceptable thoughts or feelings Channels personally unacceptable feelings or impulses to socially desirable behavior Emphasizes the amusing or ironic aspects of the conflict or stressor Attempts to predict possible outcomes and changes behavior accordingly Intentionally avoids thinking about disturbing problems, wishes, or feelings, or experiences The study of defensive styles in alcoholics and individuals with social anxiety has been given little attention over the years. One study found that alcoholics employed adaptive defense strategies significantly less often when compared to controls, and that 9 that lack of adaptive defenses led to greater perceived psychological benefits from drinking (Ojehagen & Smith, 1993). Kennedy, Schwab, and Hyde (2001) found that patients with social phobia had the highest defense style 1 (maladaptive) scores when compared to other Axis 1 anxiety disorders and controls, and they had the highest mean scores for defense style 2 (image distorting) as well. The maladaptive defenses of defense style 1, and the image distorting defenses of defense style 2 are examples of immature defense styles. Pollock and Andrews (1989) found that, when compared to controls, patients with social phobia were more likely to use displacement and devaluation and less likely to use humor as a defense. Again, this shows the tendency of an individual with social phobia to endorse immature defenses over mature defenses. Some gender differences, though slight, have been found with respect to the use of defense mechanisms. Males tend to use isolation and suppression to a greater extent than do females, who use pseudo-altruism to a greater extent than do males (Watson & Sinha, 1998). Purpose Social anxiety is likely to put an individual at risk of developing alcohol abuse problems. The use of immature and inadequate defense mechanisms also puts individuals at higher risks for abusing alcohol. Therefore, the use of immature defense mechanisms in individuals with social anxiety may have some predictive value in determining risk factors for alcohol abuse problems, especially in college-age students who are experiencing new situations and anxieties. Though this is an exploratory study, it is hypothesized that the use of immature defenses will prove to be a significant risk factor for alcohol abuse in individuals with social anxiety. It is hypothesized that both genders will use immature defenses, but may employ different ones. I expect to find some use, overall, of neurotic defenses, and no use of mature defenses, in individuals with social anxiety who are abusing alcohol. Method Participants Two-hundred eighty six students were recruited from the Psychology Department’s subject pool at Miami University. The majority of these students were from an Introduction to Psychology course, and were mostly Freshman and Sophomores. 10 This is the ideal time-frame to find students who are beginning to cope with the transition to college, or who are close to the time they dealt with the transition. Basic information about the sample is presented in Table 2: Table 2 – Description of Sample Age Response Gender # % Response Year in School # % Response # Ethnicity % Response # % 17 1 0.3 Female 179 62.2 Freshman 161 56.3 Caucasian 254 88.8 18 114 39.9 Male 104 36.7 Sophomore 86 30.1 Black/African-American 6 2.1 19 73 25.5 Blank 3 0.1 Junior 21 7.3 Hispanic/Latino 5 1.7 20 31 10.8 Senior 13 4.5 Asian-American 4 1.4 21 15 5.2 5+ 3 1 Native-American 2 0.7 22 0 0 Blank 2 0.7 Biracial/Multi-racial 8 2.8 23 1 0.3 Other 4 1.4 24 0 0 Blank 3 1 25 1 0.3 Blank 50 17.5 After informed consent was obtained, participants completed measures dealing with drinking, social anxiety, and defense mechanisms. The measures were numbered and placed in random order to minimize order effects. The participants were allowed one hour to complete all the measures, and were compensated with one hour of credit to use towards the requirements in their Introductory Psychology course. Upon completion of the measures, the participants were provided with a paper which debriefed them as to the purpose of the study, and provided contact information for psychological services as well as updates on the results of the study. Measures Participants were first asked to give demographic information including age, gender, ethnicity, and year in school. Then, they filled out the following measures: Michigan Alcoholism Screening Test The Michigan Alcoholism Screening Test (MAST) is a 25 item, yes-no format instrument designed to be administered rapidly and effectively by professionals and nonprofessionals (Selzer, 1971). Scores range from zero to fifty-three, and a score of 0-3 is considered to indicate normal social drinking, 4 is a borderline score, and 5 or above indicates alcoholism (Brady, Foulks, Childress, & Pertschuk, 1982). It has been shown to 11 have high internal consistency, with reported alpha coefficients between .83 and .95. It also has high test-retest reliability, ranging from .90-.96 (Hedlung & Vieweg, 1984). Additional questions were added to the MAST to assess for binge-drinking behaviors as defined by Weschler, et al., (2000). Bond’s Defense Style Questionnaire (short version – DSQ 40) The Defense Style Questionnaire (DSQ), one of the oldest and most widely used self-report measures of defense functioning, divides defense mechanisms into immature, neurotic, and mature (Wastell, 1999). The original DSQ consists of 88 questions, and was shown to demonstrate construct validity (Andrews, Singh, & Bond, 1993). Later, it was broken down into a less lengthy form, the DSQ-40, which has proven to be internally reliable, but differentially for each type of defense. Mature defenses have an alpha of .68, neurotic defenses have an alpha of .58, and immature defenses have a reported alpha of .80 (Andrews et al., 1993). Test-retest correlations range from .75 to .85 depending on the type of defense (Andrews et al., 1993). The short version looks at 20 defenses, still subsumed under the original three sub-types. The defenses on the DSQ-40 are presented in Table 3: Table 3 – Defense Mechanisms measured by DSQ-40 Mature Neurotic Immature Anticipation Pseudo-altruism Acting-out, Denial, Devaluation, Displacement, Humor Idealization Dissociation, Autistic Fantasy, Suppression Reaction-Formation Isolation, Passive Aggression, Sublimation Undoing Projection, Rationalization, Somatization, Splitting Social Anxiety Measures To assess social anxiety, four scales were used: The Fear of Negative Evaluation (FNE), the Social Avoidance and Distress Scale (SADS), the Liebowitz Social Anxiety Scale (LSAS), and the Brief Social Phobia Scale (BSPS). Each measure takes only a few minutes to administer, and highlights different aspects of the overall disorder, providing a clearer picture, and a more accurate description of someone as having social anxiety. The FNE is a 30-item true-false scale that is used to measure expectation and distress related to perceived negative evaluation from others. A higher score reflects 12 more anxiety, with certain items getting one point for a true answer, and other items getting one point for a false answer. It has been shown to have high internal consistency, ranging from .94 to .96, and good test-retest reliability from .78 to .94 (Orsillo, 2001). The SADS is a 28-item, true-false scale that is used to measure distress during and avoidance of social situations. Once again, a higher score reflects more anxiety. It has been shown to have excellent internal consistency, with one study yielding a correlation of .94. Test-retest over a one-month period in a college student sample ranged from .68-.79. The FNE and SADS were developed together, and are moderately correlated with each other (Orsillo, 2001). The Liebowitz Social Anxiety Scale is a 24-item interview that looks at the constructs of fear and avoidance of social situations. Though the measure is designed to be an interview, it can also be used as a self-report. Fear and avoidance are measured with respect to difficulties with social interactions and performance. Fear is rated using a four point Likert scale ranging from 0 (none) to 3 (severe), and avoidance is also rated on a four point Likert scale ranging from 0 (never) to 3 (usually). Fear and avoidance scores were obtained which were summed for a total score (Orsillo, 2001). In one major study (Heimberg et al., 1999), Cronbach’s alpha for the total score was .96. The LSAS total score has been shown to be related to other self-report measures for social anxiety (Orsillo, 2001). The BSPS is an 18-item scale used to determine the amount of fear, avoidance, and physiological arousal related to social phobia. It is divided into two parts, the first of which assesses fear and avoidance of seven social situations. Fear is assessed on a five point Likert scale ranging from 0 (none) to 4 (extreme). Avoidance is also assessed on a five point Likert scale ranging from 0 (never – 0%) to 4 (always – 100%). The second part assessed the physiological response to social situations based on four symptoms one might experience. Arousal is also scored on a five point Likert scale, ranging from 0 (none) to 4 (extreme). The BSPS has been shown to have a high internal consistency of .81, with Cronbach’s alphas for the subscales being: .60 (arousal), .70 (fear), and .78 (avoidance). Test-retest has been shown to be as high as .91 (Orsillo, 2001). Results 13 First, participants were divided into two groups using their scores from the social anxiety measures; one group included those with high levels of social anxiety, and the other group included the low levels of social anxiety. In order to divide the participants into these groups, the scores from each of the measures of social anxiety were standardized. Then, each individual’s scores on the measures were added together to create one social anxiety score. Finally, a median split was performed on the participant’s scores, and the final result was a division of the participants into high and low social anxiety. Next, participants’ scores on the DSQ-40 were coded into which group of defense mechanisms described them best: immature, neurotic, or mature. Defense mechanisms and social anxiety became the independent variables for further analyses. These variables were compared with two dependant variables: alcohol abuse and binge drinking. Scores from the MAST were used as a continuous variable of alcohol abuse, and these scores were also used to divide individuals into the categories of non-alcoholic, borderline alcoholic, and alcoholic. Finally, individuals were divided into the categories of binge-drinker and non-binge-drinker based on their responses to alcohol use questions. The division of participants into these categories is summarized in Table 4: Table 4 – Categorical Variables Category MAST Defense Mechanisms Social Anxiety Binge Drinking N % Non-alcoholic 22 7.8 Borderline Alcoholic 34 12.1 Alcoholic 226 80.1 Immature 17 6.0 Neurotic 59 20.9 Mature 206 73.0 Low 142 50.4 High 140 49.6 Non-Binge Drinker 122 43.3 Binge Drinker 160 56.7 First, a two-way ANOVA was completed to look at the relationship between alcoholism, as measured by the MAST, and social anxiety and defense mechanisms. The ANOVA was 2(social anxiety: high, low) X 3 (defense mechanisms: immature, neurotic, mature). The median split of social anxiety approached significance, F(1, 276) = 2.795, p 14 = .096, with individuals who are lower in social anxiety scoring higher on the MAST (though the means of both high and low social anxiety were in the alcoholic range). The interaction of social anxiety and defense was also marginally significant, F(2, 276) = 2.448, p = .088. Follow-up simple effects tests show that individuals who employ immature defense mechanisms, and are low in social anxiety score significantly higher on the MAST than those who employ immature defense mechanism and are high in social anxiety, F(1, 276) = 4.869, p = .028. No differences were found for individuals employing mature defenses, F(1, 276) = .016, p = .901, of for individuals who employ neurotic defenses, F(1, 276) = .103, p = .749 Defense mechanisms alone were not significant, F(2, 276) = 1.866, p = .157. The relationship between the independent variables was examined further in relation to binge drinking. A binomial logistic regression was performed, and the overall model was significant, Wald χ2 = (2, N=282) = 8.349, p = .015, though social anxiety accounted for more of the ability to predict the probability of being a binge drinker, Wald χ2 = (1, N=282) = 6.867, p = .009, than did the defense mechanisms, which did not add significantly to the model, Wald χ2 = (1, N=282) = .762, p = .383. Additional Chi Square analyses were performed to determine the individual relationships between defense mechanisms and binge drinking, social anxiety and binge drinking, defense mechanisms and alcoholism, and social anxiety and alcoholism. In these analyses, alcoholism was treated as a categorical variable, where the score on the MAST divided individuals into three groups: non-alcoholic, borderline alcoholic, and alcoholic. Defense mechanisms were significantly related to binge drinking, χ2 = (2, N=282) = 6.402, p = .041. Individuals using immature and mature defense mechanisms were both more likely to be binge drinkers. Neurotic defense users were the only individuals who were unlikely to be binge drinkers. Social anxiety was also significantly related to binge drinking, χ2 = (1, N=286) = 8.201, p = .004. High social anxiety was overrepresented among non-binge drinkers, and low social anxiety was overrepresented among binge drinkers. Though defense mechanisms were related to binge drinking when examined alone, there is no individual variance offered by defense mechanisms that isn’t encompassed by the measures of social anxiety, as can be seen in the results of the binomial logistic regression. Defense mechanisms were not related to alcoholism, χ2 = 15 (4, N=282) = 2.728, p = .604, nor was social anxiety related to alcoholism, χ2 = (2, N=282) = .797, p = .671, when each was measured alone. This is consistent with the observation that only marginally significant results were obtained in the two-way ANOVA. Gender differences were analyzed with respect to each variable: binge drinking, alcoholism, defense mechanisms, and social anxiety. Among binge drinkers, there was a significant sex difference, χ2 = (1, N=283) = 9.210, p = .002. Men were overrepresented as binge drinkers, and women were underrepresented. These number and percentage of participants of each gender that fell into each category are summarized in table 5 below. Table 5 – Binge Drinking and Gender Gender Non-Binge Drinker Binge Drinker N % of Gender % of Sample N % of Gender % of Sample Male 33 31.7 11.7 71 68.3 25.1 Female 90 50.3 31.8 89 49.7 31.4 Gender was not significantly related, though, to classification of alcoholism as measured by the MAST, χ2 = (2, N=283) = 4.227, p = .121. Gender was also not significantly related to any differences in use of defense mechanisms, χ2 = (2, N=279) = 1.093, p = .579, or social anxiety scores, χ2 = (1, N=286) = .886, p = .347. Whether a person was considered alcoholic, borderline alcoholic, or non-alcoholic was significantly related to their status as either a non-binge drinker or a binge drinker, χ2 = (2, N=286) = 23.717, p = .000. Non-binge drinkers were more likely to be considered non-alcoholic, or borderline alcoholic. Binge drinkers were likely to be coded as alcoholic. Defense mechanisms were related to level of social anxiety, χ2 = (2, N=282) = 9.869, p = .007. Mature defenses were overrepresented in individuals low in social anxiety; neurotic defenses were overrepresented in individuals with high social anxiety; immature defenses were near expected counts. This provides further validation for the DSQ-40. Means and standard deviations for each measure used are provided in Table 6. It is interesting that the mean score for the MAST was in the range that would be labeled “alcoholic.” Scores on the DSQ corresponded closely with scores reported in a previous 16 study using a college student populations (Watson, 2002). Scores on all measures of social anxiety were near what would be expected from previous research as well, with the exception of the mean SADS score (Orsillo, 2001). Additional analysis was completed to determine whether or not the final scores on the measures of social anxiety were correlated with each other. All were correlated with p = .000. The correlation matrix is provided in Table 7. Table 6 – Means and Standard Deviations of Individual Measures Measure Mean SD MAST 8.44 6.261 DSQ - Mature 5.70 13.405 DSQ - Neurotic 4.84 1.07 DSQ - Immature 4.10 0.91 FNE 14.70 8 SADS 6.29 6.15 LSAS 37.41 21.23 LSAS Fear 19.62 11.37 LSAS Avoidance 17.76 10.86 BSPS 19.93 10.837 BSPS Fear 8.49 4.72 BSPS Avoidance 8.07 4.49 BSPS Physiological 3.49 3.27 Table 7 – Correlation Matrix of Final Scores on Measures of Social Anxiety FNE FNE SADS LSAS BSPS .414 .507 .536 .514 .599 SADS .414 LSAS .507 .514 BSPS .536 .599 .799 .799 All correlations are significant at the .000 level (2-tailed). Discussion As hypothesized, social anxiety and defense mechanisms predicted binge drinking. Contrary to hypotheses, though, individuals who were high in social anxiety, and employed immature defense mechanisms were not more likely to binge drink. Instead, individuals considered low in social anxiety, who used mature and immature defense mechanisms were more likely to binge drink. With marginally significant results, 17 individuals considered low in social anxiety, and who used immature defense mechanisms were more likely to score higher on a measure of alcoholism. It was hypothesized that individuals high in social anxiety would be more likely to binge drink or be considered alcoholic. According to the literature review, this would be expected, but the current study had different results. There are possible explanations as to why the results from this particular study would be discrepant from what would be expected based on the literature. The culture of a college campus often permits, and even promotes, binge drinking and other forms of alcohol abuse (Hartzler & Fromme, 2003; Turner et al., 2000; Wechsler et al., 1995; Wolburg & Treise, 2004). Individuals low in social anxiety may be more likely to take part in such group activities that would lead to situations where alcohol use is common, as opposed to individuals high in social anxiety, who may keep to themselves more while at college. The individuals high in social anxiety may be less likely to join such activities or groups that would lead to drinking behavior. Further studies need to be done to determine whether individuals who are high in social anxiety are more or less likely to join in activities and/or groups on campus where they may be led to drink. The results of the current study did not support the self-medication (McKeehan & Martin, 2002) or the tension-reduction (Hartman, 1986) theories of alcohol abuse. If those theories were to have been supported, it would have been expected that individuals high in social anxiety would be more likely to abuse alcohol. Since the current study found that, in a college population, individuals low in social anxiety were more likely to abuse alcohol and/or binge drink, it is unlikely that the drinking was caused by an underlying desire to reduce anxiety. The hypothesis that there would be no use of mature defenses in individuals with social anxiety who are abusing alcohol was not supported. For individuals who binge drink, it was likely that they could employ mature or immature defenses. In those who scored highly on the alcoholism measure, all levels of defense mechanisms were represented, though immature defense mechanisms were represented to a greater degree. The only gender difference that was found was in regard to binge drinking, where men were found to be more likely to binge drink whereas women were not at a higher 18 risk for binge drinking than expected. This is consistent with the literature, though the lack of support for gender differences in alcoholism was inconsistent with the literature (Hartzler & Fromme, 2003; Wechsler et al., 1995). No gender differences in use of defense mechanisms was found, which is not surprising since only slight differences have been found in the past (Watson & Sinha, 1998). There was also no gender difference with respect to level of social anxiety, which was inconsistent with past research findings that indicate that women are as much as twice as likely than men to have social anxiety (Lepine & Pelissolo, 2000; Lydiard, 2001). The current study sheds much light on the topic of college binge drinking, and factors that may affect it. Unfortunately, little could be discovered with regards to college alcoholism using the current study. It is interesting that a person’s categorization into non-alcoholic, borderline alcoholic or alcoholic was related to their status as a bingedrinker or non-binge drinker, but many tests that were significant for binge drinking were not significant for MAST categorization. Even though there is a relationship between the two factors, it is useful to look at them separately, and they should not be assumed to be synonymous. In a study by Epstein, et al., (1995), different classification systems of alcoholism were examined. It seems that while all binge drinkers may be considered alcoholics, not all alcoholics are binge drinkers. There are many other classifications of alcoholism beyond that of binge drinking, including: episodic, sporadic, and steady. There is much debate over the operational definitions of these terms, but there seems to be little debate that there are multiple ways to classify an alcoholic. It might be useful to complete further studies which examine the many drinking patterns that may be present on a college campus. Limitations The results of this steady, specifically with respect to the fact that low social anxiety appeared to put individuals at a higher risk of binge drinking and alcohol abuse, are counter-intuitive when compared to previous research results. These results could be due to measurement error. It is possible that using a median split to categorize individuals into high or low social anxiety was too conservative, and did not accurately portray the variability in social anxiety scores. The results in the correlational analysis of the measures of social anxiety add some validity to the scores, though. The fact that the 19 measures all correlated with one another at the .000 level indicates that they are accessing similar constructs. It may be useful, in the future, to create a new measure of social anxiety that encompasses the different aspects of each of these measures. It is troubling that the mean scores of the FNE and SADS were not as closely related as expected. These measures have been co-normed (Orsillo, 2001), and there should not be as large of a discrepancy between the means of each measure as this study found. It is likely that this is due to the fact that individuals in this sample may have more feelings of social anxiety, which would be measured by the FNE, but they may exhibit fewer behaviors related to these feelings of social anxiety, causing the discrepancy. The low scores on the SADS are likely to have had an impact on the overall standardized social anxiety score, and it will likely be beneficial to look at each measure separately in future analysis. An additional limitation in the study may relate to the difference between actually having a diagnosable disorder, or having characteristics that relate to that disorder. Much of the literature that was examined was based on research done on clinical populations of individuals with social anxiety, and may not relate to a non-clinical population. Also, much of the research done relating social anxiety to alcohol use was done using populations of individuals with the comorbid diagnosis of social anxiety disorder and alcoholism. Again, the findings from this population may not be generalizable to a college population, or to individuals who do not have a clinical diagnosis. A final limitation is considered in relation to the use of categorical variables, especially in relation to the median split of social anxiety, and categories of alcohol abuse as measured by the MAST. The results of the logistic regression had marginally significant results when looking at the main effect of social anxiety on MAST score, using the MAST score as a continuous variable. An additional chi square analysis was performed to examine the relationship between social anxiety and MAST category, and this analysis was not significant. This is likely due to the fact that the categorical variable is not as accurate of a reflection of the variability within the subjects as is the continuous variable. There is a great deal of variability in MAST scores within the alcoholic range alone that is lost when all people in that range are grouped into one single category. The same problem arises with respect to performing a median split on the social anxiety 20 scores. It may have been more useful to use each individual measure as a continuous variable that could be examined separately, instead of using all the measures to form a standardized score, which was divided into high and low social anxiety. It is likely that people labeled as high in social anxiety may have actually scored within the normal range on the individual measures, but were placed in the high category simply due to the procedure of performing a median split. It may be beneficial to perform future analyses using a quartile split, or to perform analyses using the individual measures and the cut off scores that they recommend. 21 Bibliography Andrews, G., Singh, M., & Bond, M. (1993). The Defense Style Questionnaire. Journal of Nervous and Mental Disease, 181(4), 246-256. Antony, M. M., & Swinson, R. P. (1998). When Perfect isn't Good Enough. Oakland, CA: Harbinger Publications. Biedel, D. C., Turner, S. M., & Morris, T. L. (1995). A new inventory to assess childhood social anxiety and social phobia: The social phobia and anxiety inventory for children. Psychological Assessment, 7, 73-79. Bond, M. (1986). An empirical study of defense styles. In G. E. Vaillant (Ed.), Empirical Studies of Ego Mechanisms of Defense (pp. 2-29). Washington D.C.: American Psychiatric Press, Inc. Brady, J. P., Foulks, E. T., Childress, A. R., & Pertschuk, M. (1982). The Michigan Alcoholism Screening Tests as a survey instrument. Journal of Operational Psychiatry, 13(1), 27-31. Brower, A. M. (2002). Are college students alcoholics? Journal of American College Health, 50(5), 253-255. Burke, R. S., & Stephens, R. S. (1999). Social anxiety and drinking in college students: A social cognitive theory analysis. Clinical Psychology Review, 19(5), 513-530. Carey, K. B. (1993). Situational determinants of heavy drinking among college students. Journal of Counseling Psychology, 40(2), 217-220. Carrigan, M. H., & Randall, C. L. (2003). Self-medication in social phobia: A review of the alcohol literature. Addictive Behaviors, 28, 269-284. Chutuape, M. A., & de Wit, H. (1995). Preferences for ethanol and diazepan in anxious individuals: An evaluations of the self-medication hypothesis. Psychopharmacology, 121, 91-103. Cramer, P. (2000). Defense mechanisms in psychology today - Further processes for adaptation. American Psychologist, 55(6), 637-646. Crum, R. M., & Pratt, L. A. (2001). Risk of heavy drinking and alcohol use disorders in social phobia: A prospective analysis. American Journal of Psychiatry, 158(10), 1693-1700. 22 Engs, R. C. (1977). Drinking patterns and drinking problems of college students. Journal of Studies on Alcohol, 134, 2144-2156. Epstein, E. E., Kahler, C. W., McCrady, B. S., Lewis, K. D., & Lewis, S. (1995). An empirical classification of drinking patterns among alcoholics: Binge, episodic, sporadic, and steady. Addictive Behaviors, 20(1), 23-41. Fenichel, O. (1945). The Psychoanalytic Theory of Neurosis. New York, NY: W.W. Norton & Company, Inc. Foley, F. W., Heath, R. F., & Chabot, D. R. (1986). Shyness and Defensive Style. Psychological Reports, 58(3), 967-973. Freud, A. (1936). The Ego and the Mechanisms of Defense. New York, NY: International Universities Press. Graham, J. R. (1987). The MMPI: A Practical Guide. New York: Oxford. Graham, J. R., & Strenger, V. E. (1988). MMPI characteristics of alcoholics: A review. journal of Consulting and Clinical Psychology, 56(2), 197-205. Ham, L. S., Hope, D. A., White, C. S., & Rivers, P. C. (2002). Alcohol expectancies and drinking behavior in adults with social anxiety disorder and dysthymia. Cognitive Therapy and Research, 26(2), 275-288. Hartman, L. M. (1986). Social anxiety, problem drinking, and self-awareness. In L. M. Hartman & K. R. Blankstein (Eds.), Perception of Self in Emotional Disorder and Psychotherapy (Vol. 11, pp. 265-282). New York NY: Plenum Press. Hartzler, B., & Fromme, K. (2003). Heavy episodic drinking and college entrance. Journal of Drug Education, 33(3), 259-274. Hauser, S. T. (1986). Conceptual and empirical dilemmas in the assessment of defenses. In G. E. Vaillant (Ed.), Empirical Studies of Ego Mechanisms of Defense (pp. 9099). Washington, D.C.: American Psychiatric Press, Inc. Hedlung, J. L., & Vieweg, B. W. (1984). The Michigan Alcoholism Screening Test (MAST): A comprehensive review. Journal of Operational Psychiatry, 15, 55-64. Heimberg, R. G., Horner, K. J., Juster, H. R., Safren, S. A., Brown, E. J., Schneier, F. R., et al. (1999). Psychometric properties of the Liebowitz Social Anxiety Scale. Psychological Medicine, 29, 199-212. 23 Hull, J. G., & Schnurr, P. P. (1986). The role of self in alcohol use. In L. M. Hartman & K. R. Blankstein (Eds.), Perception of Self in Emotional Disorder and Psychotherapy (Vol. 11, pp. 157-185). New York, NY: Plenum Press. Hussong, A. M. (2003). Social influences in motivated drinking among college students. Psychology of Addictive Behaviors, 17(2), 142-150. Kammeier, M. L., Hoffman, H., & Loper, R. G. (1973). Personality characteristics of Alcoholics as college freshman and at time of treatment. Quarterly Journal of Studies on Alcohol, 34, 390-399. Keeling, R. P. (2002). Binge drinking and the college environment. Journal of American College Health, 50(5), 197-201. Kennedy, B. L., Schwab, J. J., & Hyde, J. A. (2001). Defense styles and personality dimensions of research subjects with anxiety and depressive disorders. Psychiatric Quarterly, 72(3), 251-262. Lepine, J. P., & Pelissolo, A. (1998). Social phobia and alcoholism: a complex relationship. Journal of Affective Disorders, 50, S23-S28. Lepine, J. P., & Pelissolo, A. (2000). Why take social anxiety disorder seriously? Depression and Anxiety, 11(3), 87-92. Lewis, B. A., & O'Neill, H. K. (2000). Alcohol expectancies and social deficits relating to problem drinking among college students. Addictive Behaviors, 25(2), 295-299. Lydiard, R. B. (2001). Social anxiety disorder: Comorbidity and its implications. Journal of Clinical Psychiatry, 62, 17-24. McCabe, S. E. (2002). Gender differences in collegiate risk factors for heavy episodic drinking. Journal of Studies on Alcohol, January, 49-56. McKeehan, M. B., & Martin, D. (2002). Assessment and Treatment of Anxiety Disorders and Co-Morbid Alcohol/Other Drug Dependancy. Alcoholism Treatment Quarterly, 20(1), 45-59. Miller, P. M., Hersen, M., Eisler, R. M., & Hilsman, G. (1974). Effects of social stress on operant drinking of alcoholics and social drinkers. Behavior Research and Therapy, 12, 67-72. 24 Mulder, R. T., Joyce, P. R., Sellman, J. D., Sullivan, P. F., & Cloninger, C. R. (1996). Towards an understanding of defense style in terms of temperament and character. Acta Psychiatrica Scandinavica, 93(2), 99-104. Norton, G. R., Buhr, K., Cox, B. J., Norton, P. J., & Walker, J. R. (2000). The rold of depressive versus anxiety-related cognitive factors in social anxiety. Personality and Individual Differences, 28, 309-314. O'Hare, T. M. (1990). Drinking in college: Consumption patterns, problems, sex differences and legal drinking age. Journal of Studies on Alcohol, 51, 536-541. Ojehagen, A., & Smith, G. J. W. (1993). Defense-Mechanisms in Alcoholics Attending Outpatient Treatment - Results from the Mct-Test (Meta-Contrast Technique). Scandinavian Journal of Psychology, 34(3), 282-288. Orsillo, S. M. (2001). Measures for Social Phobia. In M. M. Antony, S. M. Orsillo & L. Roemer (Eds.), Practitioner's Guide to Empirically Based Measures of Anxiety (pp. 165-187). New York: Plenum Publishers. Overall, J. E. (1973). MMPI personality patterns of alcoholics and narcotic addicts. Quarterly Journal of Studies on Alcohol, 34, 104-111. Pitkanen, T. (1999). Problem drinking and psychological well-being: A five-year followup study from adolescence to young adulthood. Scandinavian Journal of Psychology, 40(3), 197-207. Pollock, C., & Andrews, G. (1989). Defense Styles Associated with Specific Anxiety Disorders. American Journal of Psychiatry, 146(11), 1500-1502. Read, J. P., Wood, M. D., Christopher, W. K., Maddock, J. E., & Palfai, T. P. (2003). Examing the role of drinking motives in college student alcohol use and problems. Psychology of Addictive Behaviors, 17(1), 13-23. Schuckit, M. A., Tipp, J. E., Bucholz, K. K., Nurnberger, J. I., Hesselbrock, V. M., Crowe, R. R., et al. (1997). The life-time rates of three major mood disorders and four major anxiety disorders in alcoholics and controls. Addiction, 92(10), 12891304. Selzer, M. L. (1971). The Michigan Alcoholism Screening Test: The Quest for a New Diagnostic Instrument. American Journal of Psychiatry, 127(12), 89-94. 25 Stravynski, A., Lamontagne, Y., & Lavallee, Y. J. (1986). Clinical Phobias and Avoidant Personality-Disorder among Alcoholics Admitted to an Alcoholism Rehabilitation Setting. Canadian Journal of Psychiatry-Revue Canadienne De Psychiatrie, 31(8), 714-719. Turner, A. P., Larimer, M. E., & Sarason, I. G. (2000). Family risk factors for alcoholrelated consequences and poor adjustment in fraternity and sorority members: Exploring the rold of parent-child conflict. Journal of Studies on Alcohol, 61(6), 818-826. Vaillant, G. E. (1986). Appendix: Six assessment schemas for defense mechanisms. In G. E. Vaillant (Ed.), Empirical Studies of Ego Mechanisms of Defense (pp. 102-152). Washington, D.C.: American Psychiatric Press, Inc. Wastell, C. A. (1999). Defensive focus and the defense style questionnaire. Journal of Nervous and Mental Disease, 187(4), 217-223. Watson, D. C. (2002). Predicting psychiatric symptomatology with the Defense Style Questionnaire-40. International Journal of Stress Management, 9(4), 275-287. Watson, D. C., & Sinha, B. K. (1998). Gender, age, and cultural differences in the Defense Style Questionnaire-40. Journal of Clinical Psychology, 54(1), 67-75. Wechsler, H., Dowdall, G. W., Davenport, A., & Castillo, S. (1995). Correlates of college student binge drinking. American Journal of Public Health, 85(7), 921-926. Wechsler, H., Lee, J. E., Kuo, M., & Lee, H. (2000). College binge drinking in the 1990's: A continuing problem. Journal of American College Health, 48, 199-210. Westen, D., & Gabbard, G. O. (1999). Psychoanalytic approaches to personality. In L. A. Pervin & P. J. Oliver (Eds.), Handbook of Personality: Theory and Research (2nd ed., pp. 57-101). New York, NY: The Guilford Press. Westenberg, H. G. M. (1999). Facing the challenge of social anxiety disorder. European Neuropsychopharmacology, 9, S93-S99. Widiger, T. A., Verheul, R., & van den Brink, W. (1999). Personality and psychopathology. In L. A. Pervin & P. J. Oliver (Eds.), Handbook of Personality: Theory and Research (2nd ed., pp. 347-366). New York, NY: The Guilford Press. Wittchen, H. U. (2000). The many faces of social anxiety disorder. International Clinical Psychopharmacology, 15, S7-S12. 26 Wittchen, H. U., & Fehm, L. (2001). Epidemiology, patterns of comorbidity, and associated disabilities of social phobia. Psychiatric Clinics of North America, 24(4), 617-641. Wolburg, J. M., & Treise, D. (2004). Drinking rituals among the heaviest drinkers: College student binge drinkers and alcoholics. In C. C. Otnes & T. M. Lowrey (Eds.), Contemporary Consumption Rituals: A Research Anthology (pp. 3-20). Mahwah, NJ: Lawrence Erlbaum Associates. 27
© Copyright 2026 Paperzz