Abstract
We explored the relationship between four domains of differentiation of self and eating disorder symptoms among male college students. While all differentiation domains were significantly correlated with eating disorder symptoms, only two domains were statistically significant in a regression. Drawing from these results, we discuss family counseling implications.
Keywords
Researchers have documented that males struggle with clinical and subclinical eating disorder symptomatology (Hudson, Hiripi, Pope, & Kessler, 2007; Petrie, Greenleaf, Reel, & Carter, 2008). Authors have stressed the importance of using eating disorder treatment strategies that take gender differences into account, as opposed to an application of intervention methods regardless of client gender (Greenberg & Schoen, 2008; Soban, 2006). In order to develop additional intervention efforts specifically targeted to males, a better understanding of variables significantly associated with eating disorder symptoms among men is warranted. In particular, examination of interpersonal and intrapersonal factors that may contribute to increased or decreased eating disorder symptoms may shed light on potential treatment directions.
In the current study, we explored the relationship between participants’ level of differentiation and general eating disorder symptoms. Differentiation is a family therapy concept from Bowen (1978) theory; this construct has been defined as by Kerr and Bowen (1988, p. 95) as “the process by which individuality and togetherness are managed by a person and within a relationship system.” Minimal research exists on the link between differentiation of self and eating disorder symptoms among male participants. Researchers have examined certain elements of differentiation in relation to bulimic symptoms among males (Levy & Hadley, 1998), but minimal evidence exists on the relationship between a comprehensive construct of differentiation (i.e., Differentiation of Self-Inventory–Revised (DSI-R; Skowron & Schmitt, 2003) and general eating disorder symptoms among male participants.
Prevalence and Symptomatology of Male Eating Disorders
Males may struggle with clinical levels of eating disorder symptoms, such as anorexia nervosa (AN), bulimia nervosa (BN), and binge eating disorder (BED; Hudson et al., 2007). This clinical symptomatology is defined by the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision (DSM-IV-TR, American Psychiatric Association [APA], 2000) and the proposed Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5, APA, 2012). Clinical symptoms of AN include food restraint and restriction behavior and a low body weight (APA, 2000, 2012). Among a national sample of adult males, lifetime AN prevalence was 0.3% (Hudson et al., 2007). Clinical symptoms of BN include binge eating behavior and compensatory actions such as laxative use or excessive exercise (APA, 2000, 2012). Hudson, Hiripi, Pope, and Kessler (2007) reported a 0.5% lifetime male BN prevalence. Clinical BED includes symptoms such as binge eating without compensatory actions (APA, 2012) and lifetime prevalence of BED among males was 2% (Hudson et al., 2007). Rates of clinical eating disorders have been reported as higher among females than among males (APA, 2000; Hudson et al., 2007).
Subclinical eating disorders may also be a concern among males (Hudson et al., 2007). The DSM-5 proposal includes a category that refers to subthreshold eating disorders (APA, 2012). Such symptomatology includes an individual who displays bulimic or binge eating behaviors that do not reach a BN or BED diagnostic threshold for regularity of behaviors, or an individual with extreme dieting behaviors, but with a body weight not considered low enough to qualify for an AN diagnosis (APA, 2012). Researchers have underscored the presence of subclinical eating disorder symptoms among males. For example, Hudson et al. (2007) reported a 0.8% lifetime prevalence of subclinical BED among males—a rate higher than the rate reported for females (0.4%). Petrie, Greenleaf, Reel, and Carter (2008) found that many male college athletes reported subclinical eating disorder symptoms, such as stringent food restriction efforts 2 times or more in the previous year (14.2%); working out 2 hours a day or more for calorie loss goals (37%); and self-induced vomiting 2–3 times a month or more (6.5%).
Authors have noted that the clinical presentation and concerns of males with eating disorders may differ from the ways in which females present (Andersen, Cohn, & Holbrook, 2000; Greenberg & Schoen, 2008; Harvey & Robinson, 2003). One central factor influencing males who struggle with eating disorder symptoms is the assumption that eating disorders are an exclusively female issue (Andersen et al., 2000; Harvey & Robinson, 2003); authors have underscored that this assumption is especially salient for AN symptomatology (McVittie, Cavers, & Hepworth, 2005; Soban, 2006). In focus groups of male college students, McVittie et al. (2005) reported that the participants viewed AN as a female psychiatric problem and characterized men who struggled with AN as being less masculine. Counselors will thus want to be attuned to factors such as embarrassment; authors have commented on the humiliation males may feel, believing they struggle with a female issue (Andersen et al., 2000) and researchers have documented evidence of such embarrassment among males struggling with symptoms of bulimia (Carlat, Camargo, & Herzog, 1997). In addition, authors have noted that males may be focused on obtaining muscle mass rather than achieving a slender form (Greenberg & Schoen, 2008; Harvey & Robinson, 2003; Pope, Phillips, & Olivardia, 2001). Moreover, authors have discussed male-specific body obsessions such as having apparent breasts (Andersen et al., 2000).
Differentiation
As discussed previously, differentiation is a construct from family therapy which refers to an individual’s approach to relationships and an individual’s sense of self; ideal differentiation includes the capacity for relational bonds and personal individuality, in addition to a solid sense of self not governed wholly by emotions (Bowen, 1978; Kerr & Bowen, 1988). Drawing from original theoretical work on the construct of differentiation (Bowen, 1978; Kerr & Bowen, 1988), researchers have assessed level of differentiation across four domains, which tap into both an individual’s togetherness versus autonomy in relationships and an individual’s core sense of self not excessively impacted by emotions; these four domains are as follows: (a) an individual’s level of fusion (FO) in relationships, that is, dependency on others in issues such as decision making; (b) an individual’s level of emotional cutoff (EC) in relationships, that is, detachment from relationships; (c) an individual’s level of emotional reactivity (ER), that is, knee-jerk, emotional reactions, and excessive influence by other people’s emotions; and (d) an individual’s level of “I” position (IP), that is, a stable sense of self not susceptible to the demands and opinions of others (Skowron & Schmitt, 2003). The former two domains (i.e., FO and EC) address interpersonal elements of differentiation, referring to an individual’s ability to blend connection with and separation from others (Skowron, Holmes, & Sabatelli, 2003; Skowron & Schmitt, 2003). The latter two domains (i.e., ER and IP) address intrapersonal components of differentiation, indicating an individual’s capacity to preserve a core sense of self not guided solely by emotions (Skowron et al., 2003; Skowron & Schmitt, 2003).
Differentiation and eating disorders
While researchers have started to examine the link between differentiation of self and eating disorder symptoms among male participants, additional investigation is warranted. In particular, previous studies have focused mainly on the interpersonal elements of differentiation and have focused less on the intrapersonal components. For example, Levy and Hadley (1998) examined two factors related to differentiation which have been understood as interpersonal areas of differentiation (Skowron et al., 2003). Levy and Hadley assessed fusion in family of origin relationships and personal authority in one’s family of origin and found that male participants with high levels of bulimic symptoms had increased fusion in their family relationships. Blackmer, Searight, and Ratwick (2011) also assessed interpersonal elements of differentiation and eating disorder symptoms. These authors measured autonomy and intimacy in one’s family of origin. Reporting results for the participants as a whole (i.e., not separated by gender), they found that participants with less autonomy in their families of origin had increased eating disorder symptoms. Thus, while preliminary evidence suggests a link between fusion in family relationships and eating disorder symptoms, less is known about the link between other elements of differentiation and eating disorder symptoms among males. Specifically, the association between the intrapersonal aspects of differentiation (Skowron et al., 2003) and eating disorder symptoms among males deserves increased investigation.
Schwartz, Grammas, Sutherland, Siffert, and Bush-King (2010) did use a comprehensive measure of differentiation when they examined the link between differentiation of self and body image attitudes of male college student participants. Participants with less ER reported reduced concern with attaining low body fat; participants with increased levels of IP reported less concern about both being muscular and having minimal body fat. The other differentiation elements (i.e., fusion and EC) were not significantly linked with male participant concerns for low body fat or muscularity. These authors did not, however, assess eating disorder symptomatology, and our study thus represents a next step in extending this literature.
Current Study
In the present investigation, we assessed four domains of differentiation of self which comprised both the interpersonal and intrapersonal components of differentiation: IP, ER, EC, and FO (Skowron et al., 2003; Skowron & Schmitt, 2003). In order to extend previous research around differentiation of self in relation to body image (Schwartz, Grammas, Sutherland, Siffert, & Bush-King, 2010) and bulimia (Levy & Hadley, 1998) among male participants, we asked several research questions.
Specifically, we asked: (a) what is the relationship between an IP and eating disorder symptoms? (b) What is the relationship between ER and eating disorder symptoms? (c) What is the relationship EC and eating disorder symptoms? (d) What is the relationship between FO and eating disorder symptoms? In addition, we investigated the relative influence of each differentiation of self-component, while accounting for the influence of all other differentiation factors. For this analysis, we asked (e) what is the relative contribution of ER, IP, EC, and FO in explaining eating disorder symptoms?
Method
Participants
Participants were 349 college students who self-identified as male and reported an age range of 18–31 (M = 20.11; one participant declined to answer). Participants represented a range of undergraduate academic class statuses: 24.6% were first-year students; 26.6% were sophomores; 20.9% were juniors, and 27.5% were seniors (one chose not to answer). The majority of participants identified as Caucasian/White (80.2%) with the remainder identifying as Asian/Pacific Islander (9.5%), Hispanic/Latino (4.6%), African American (2.6%), multiethnic/multiracial (2.6%), American Indian/Alaskan Native (0.3%), and Other (0.3%). Participants primarily reported their sexual identity as heterosexual (94%), 4.6% identified as gay, and 1.4% identified as bisexual. Participants reported their economic background as lower class (2.5%), working class (11.5%), middle class (54.2%), upper middle class (29.8%), and upper class (2%). Only one participant identified as an international student (0.3%) and one participant chose not to answer this item. Participants reported body mass indexes (BMIs) that were underweight (below 18.5; 4.9%), normal (18.5–24.99; 60.5%), overweight (25.0–29.99; 25.2%), and obese (30.0 and up; 8.6%); participants reported a mean BMI of 24.14, which is a normal weight (World Health Organization, 2012). We could not calculate BMI for two participants, due to missing or implausible height and weight information.
Procedures
After obtaining institutional review board approval, we sent out an e-mail invitation to the campus e-mails of students at a public mideastern college; an administrative office at the college assisted us with this process. For this study, 2,761 students (n = 2,755 males; n = 6 no gender information on file at the college) were initially e-mailed as potential participants. This e-mail contained a survey link through which participants could access the informed consent and the online survey (via Qualtrics©). Potential participants were sent an initial e-mail and two e-mail reminders (each 1 week apart) and also were invited to enter a random drawing to win one of the two US$100 VISA© gift cards. Our total participants were 349 male students. This is a 12.6% response rate, which is comparable to response rates reported by other researchers who surveyed male college students using Internet data collection methods (Utpala-Kumar & Deane, 2010).
Instruments
For the purposes of the current study, participants completed demographic questions and two assessment instruments. In particular, participants completed the DSI-R; Skowron & Schmitt, 2003) and the Eating Attitudes Test-26 (EAT-26; Garner, Olmsted, Bohr, & Garfinkel, 1982). All instruments were self-report measures.
The DSI-R (Skowron & Schmitt, 2003) is a revision of the DSI (Skowron & Friedlander, 1998), wherein the authors altered the FO subscale for reliability and validity purposes. The DSI-R is a 46-item scale with four subscales: ER, IP, EC, and FO. Participants answer items on a 6-point Likert-type scale (1 = not at all true of me; 6 = very true of me) and the scale authors noted that higher scores indicated increased differentiation. ER (11-item subscale) measures one’s “tendency to respond to environmental stimuli on the basis of autonomic emotional responses, emotional flooding, or lability” (Skowron & Schmitt, 2003, p. 212). Higher scores indicate higher levels of differentiation of self and lower levels of ER. IP (11-item subscale) refers to “a clearly defined sense of self and the ability to thoughtfully adhere to one’s convictions even when pressured to do otherwise” (Skowron & Schmitt, 2003, p. 212). Higher scores on this subscale indicate increased differentiation of self and IP. EC (13-item subscale) assesses “fears of intimacy or engulfment in relationships, and the accompanying behavioral defenses against those fears” (Skowron & Schmitt, 2003, p. 212). Higher scores reflect higher levels of differentiation of self and less EC. FO (12-item subscale) refers to “emotional over-involvement with others… heavy reliance on others in decision making… and holding few constant beliefs of one’s own” (Skowron & Schmitt, 2003, p. 214). Higher scores reflect higher levels of differentiation of self and less FO. Previous researchers have established the validity and acceptable reliability of these subscales (e.g., Skowron & Friedlander, 1998; Skowron & Schmitt, 2003). In the present study, reliability for the four subscales was as follows: ER (α = .87); IP (α = .82), EC (α = .83), FO (α = .76).
The EAT-26 measures general eating disorder symptomatology (Garner et al., 1982). The scale is composed of 26 questions on 6-point Likert-type scale (1 = never; 6 = always); these items inquire into disordered thoughts and behaviors (e.g., binge eating, self-induced vomiting, food restriction). Higher scores indicate higher levels of eating disorder symptomatology. The EAT-26 has three subscales (dieting, oral control, and bulimia and food preoccupation), but authors often use this scale as a total score to assess general eating disorder symptomatology among males (e.g., Blackmer, Searight, & Ratwick, 2011; Gan, Mohd Nasir, Zalilah, & Hazizi, 2011; Reyes-Rodriguez et al., 2011; Tao, 2010). This instrument was originally developed with female participants and was reported to have appropriate reliability and validity (Garner et al., 1982), but researchers have utilized the EAT-26 with male participants and have reported sufficient reliability (Gan et al., 2011; Reyes-Rodriguez et al., 2011; Tao, 2010). With the current study participants, reliability for the EAT-26 was α = .88.
The EAT-26 does not establish a clinical eating disorder diagnosis, but it does serve as a screening tool to identify individuals who may be exhibiting concerning symptoms (Garner et al., 1982). Garner (n.d.) discussed the use of a score of 20 or above on the EAT-26 as an indicator of potentially problematic eating disorder symptoms that would warrant further assessment to determine a clinical diagnosis. Among our participants, the mean EAT-26 score was 54.35, which is above the cutoff score of 20. In fact, all participants scored above 20 on the EAT-26 (range of 26–111).
Data Analysis
Prior to data analysis, we examined the main continuous variables of interest for approximation of normality. The four subscales of DSI-R had skew and kurtosis values that have been considered acceptable (Miles & Shevlin, 2001). The EAT-26 variable evidenced potentially concerning deviations from normality (Miles & Shevlin, 2001). Thus, we carried out a logarithm transformation on the EAT-26 variable, which improved both its skew and kurtosis values and suggested an increased estimation of a normal curve (Tabachnick & Fidell, 2007).
We used Statistical Package for the Social Sciences statistical program for our data analyses. Our data analysis procedures included an initial examination of links between demographic variables and eating disorder symptoms. Then, we carried out Pearson correlation analyses and a hierarchical regression, in order to investigate the relationships between the differentiation of self-variables (i.e., ER, IP, EC, and FO) and eating disorder symptoms. In the data analysis procedures described in the following section, we used the transformed EAT-26 scores for parametric statistics, that is, bivariate Pearson correlations and the hierarchical regression. When reporting results from nonparametric statistics (i.e., Kruskal–Wallis and Mann–Whitney U tests), which do not assume normality of distributions (Pallant, 2007), we used the nontransformed EAT-26 scores.
Results
We first carried out analyses to determine the relationship between demographic variables and eating disorder symptoms (as measured by the EAT-26). Several demographic variables had dissimilar cell sizes and Kruskal–Wallis tests were used to examine these associations (Pallant, 2007; Tabachnick & Fidell, 2007). We found no statistically significant relationships between eating disorder symptoms and racial/ethnic identity, international student status, sexual identity, and academic class. We did find a statistically significant relationship between economic background and eating disorder symptoms, χ2(4, n = 349) = 10.08, p = .039. However, two economic background categories had extremely small cell sizes: lower class (n = 9) and upper class (n = 7). We thus combined economic background into three categories: lower class/working class, middle class, and upper-middle class/upper class. A Kruskal–Wallis test using this new three-level economic background variable also revealed a significant link between economic background and eating disorder symptoms, χ2(2, n = 349) = 6.49, p = .039. To more closely examine the nature of this relationship, we conducted three follow-up Mann–Whitney U tests (Pallant, 2007). After a Bonferroni correction, which adjusted the α level (p = .017) to account for the three follow-up tests, we found that upper-middle-class/upper-class participants (Mdn = 56; n = 111) had increased eating disorder symptoms compared to middle-class participants (Mdn = 50; n = 189), U = 8,734.5, z = −2.42, p = .016. Using Cohen’s (1992) parameters, we determined that this was a small effect size (r = .14).
We carried out two Pearson bivariate correlation analyses in order to determine the possible links between age and eating disorder symptoms and BMI and eating disorder symptoms. Participant age was not significantly associated with eating disorder symptoms. Participant BMI was significantly associated with eating disorder symptoms, such that participants with higher BMIs had increased eating disorder symptoms (r = .20, p = .000). Cohen (1992) identified this correlation as a small effect. Given these initial analyses, we included economic background and BMI as control variables in the hierarchical regression analysis described in the following section.
Pearson Correlations and Hierarchical Regression
In order to answer the research questions posed in this study—the relationships between four differentiation of self-variables and eating disorder symptoms—we carried out Pearson correlation analyses and a hierarchical regression procedure. The bivariate correlations provided initial information about the relationships between these variables (Research Questions 1–4), while the hierarchical regression provided a more statistically rigorous test of the link between these variables (Research Question 5).
After carrying out Pearson correlations, we found statistically significant associations between the four differentiation of self-variables and eating disorder symptoms (Table 1). In all cases, participants with increased levels of differentiation of self had reduced rates of eating disorder symptoms. Participants with less ER had reduced rates of eating disorder symptoms (r = −.29, p = .000). Participants with higher levels of an IP had reduced rates of eating disorder symptoms (r = −.26, p = .000). Participants who reported less emotionally cutoff relationships had reduced incidence of eating disorder symptoms (r = −.20, p = .000). In addition, participants who reported less FO reported less eating disorder symptoms (r = −.15, p = .006). All of these correlation findings were small effect sizes (Cohen, 1992).
Means, Standard Deviations, Observed and Possible Ranges, and Correlations for the EAT-26 and the Four DSI Subscales (n = 349).
Note. DSI = Differentiation of Self-Inventory; EAT-26 = Eating Attitudes Test-26.
Eating disorder symptomatology as measured by the EAT-26; ER = emotional reactivity as measured by the DSI-R subscale; IP = “I” Position as measured by the DSI-R subscale; EC = emotional cutoff as measured by the DSI-R subscale; FO = fusion with others as measured by the DSI-R subscale. The M, SD, and range values are reported using the nontransformed EAT-26 variable; the correlations are reported using the transformed EAT-26 variable.
*p <.01. **p <.001.
In order to carry out a more stringent test of the association between differentiation of self-factors and eating disorder symptoms, we conducted a hierarchical regression (Table 2). In the first step of the regression, we entered BMI and economic class, thus including a total of 347 participants in this regression, due to missing BMI data for two participants. Explaining 5.7% of the variance in eating disorder symptoms, this step was statistically significant, ▵F(2, 344) = 10.37, p = .000. As characterized by Cohen (1992), this was a small effect size (f 2 = .06; Soper, 2013b). In the second step of the regression, we entered the four differentiation of self-variables: ER, IP, EC, and FO. Together, these variables accounted for an additional 11.4% of the variance in eating disorder symptoms. This step in the regression was also statistically significant, ▵F(4, 340) = 11.69, p = .000. The effect size for this step (f 2 = .064; Soper, 2013a) has been described as a small effect (Cohen, 1992).
Unstandardized Regression Coefficients (B) and Intercept, the Standardized Regression Coefficient (β), t Values, and p Values, for Variables as Predictors of Eating Disorder Symptomatology (n = 347).
Note. BMI = body mass index; ER= emotional reactivity as measured by the DSI-R subscale; IP = “I” Position as measured by the DSI-R subscale; EC = emotional cutoff as measured by the DSI-R subscale; FO = fusion with others as measured by the DSI-R subscale; dependent variable = eating disorder symptomatology, as measured by the EAT-26.
Upon examination of the relative impact of each differentiation of self-variable, however, we found that only two variables reached the threshold of statistical significance. After controlling for BMI and economic background and accounting for the impact of the other differentiation of self-variables, EC and FO were no longer significantly linked to eating disorder symptoms. ER (β = −.267, B = −.003, p = .000) and IP (β = −.133, B = −.002, p = .034) retained statistical significance. The β values of the two variables revealed that ER was more strongly linked with eating disorder symptoms than IP.
Discussion
We found a significant relationship between all elements of differentiation of self and eating disorder symptoms, such that increased levels of differentiation were related to decreased eating disorder symptoms. In the following section, we discuss points of commonality and departure between our research and previous findings on the link between male body dissatisfaction and differentiation and male eating disorder symptoms and differentiation. In addition, we provide suggestions for family counseling practice.
ER and IP
We found that ER and IP, the intrapersonal elements of differentiation (Skowron et al., 2003), were significantly associated with eating disorder symptoms. In addition, we found that these two aspects of differentiation had the strongest links with eating disorder symptoms when considered alongside the interpersonal elements of differentiation. These findings correspond to the results reported by Schwartz et al. (2010). While these authors did not measure eating disorder symptoms, they did measure body image attitudes (i.e., a desire for reduced body fat and increased muscularity) and reported that lower levels of an IP were linked with an increased aim for both less body fat and additional muscularity. These researchers also reported that higher levels of ER were associated with an increased desire for less body fat. Researchers have found that college student male participants with eating disorder symptoms reported more dissatisfaction with their bodies than male participants without eating disorder symptomatology (Ousley, Cordero, & White, 2008). Thus, displeasure with one’s body may be one pathway by which males develop and continue engaging in eating disorder symptoms (Ousley et al., 2008). Given our findings and the Schwartz et al. (2010) results, it may be that, for some males, elements of differentiation which involve developing a strong sense of self (high IP) and not being unduly impacted by emotions (low ER) are related to both a diminished desire for less body fat and decreased eating disorder symptoms. Potentially, individuals with a high IP adhere to an internal value system which is not impacted by body image standards proliferated in society and that these individuals thus experience less body dissatisfaction and reduced eating disorder symptoms (Schwartz et al., 2010). In addition, individuals who are less emotionally reactive, namely, less susceptible to emotional reactions and being impacted by the emotional states of others (Skowron & Schmitt, 2003) may have less body dissatisfaction and eating disorder symptoms. Such individuals may be able to avoid emotional investment in body image ideals, thus diminishing body dissatisfaction and eating disorder symptoms.
Alternately, other variables may be involved. For example, individuals with a high IP and less ER may also evidence effective coping skills to manage stress (Bowen, 1978; Kerr & Bowen, 1988; Murdock & Gore, 2004). Researchers have reported that poor emotion regulation skills are linked to increased eating disorder symptoms among males, thus suggesting that males may use eating disorders as way to cope with unpleasant emotions (Lavender & Anderson, 2010). Thus, individuals with a high IP, less ER, and solid coping skills, would not use unhealthy symptoms, such as eating disorder behaviors, as a way to deal with negative affect.
FO and EC
We also found a correlation between FO and EC, the interpersonal elements of differentiation (Skowron & Schmitt, 2003), and eating disorder symptoms among males. Corroborating previous findings (Blackmer et al., 2011; Levy & Hadley, 1998), we found that males with increased levels of FO had increased eating disorder symptoms. Our findings contrast, however, with the Schwartz et al. (2010) study. These researchers reported no link between FO and ECs and a desire for reduced body fat or increased muscularity. In part, this difference may be due to the improved FO subscale we used. Skowron and Schmitt (2003) revised the FO subscale to improve reliability and validity in the DSI-R; Schwartz et al. (2010) used the original FO subscale in the DSI (Skowron & Friedlander, 1998). On the other hand, as Schwartz et al. (2010) studied body attitudes and not eating disorder symptomatology; thus, it may be that FO is related to eating disorder symptoms, but not related to a desire for less body fat or increased muscularity among males. Similarly, our findings suggest that ECs are also correlated with eating disorder symptoms, despite the Schwartz et al. (2010) results wherein EC was nonsignificantly associated with a body image concerns.
Our findings suggest that some males who struggle with high levels of fusion and ECs in relationship with others may engage in eating disorder symptoms. Given the previously discussed Schwartz et al. (2010) findings, these individuals may struggle with eating disorder symptoms for reasons separate from body dissatisfaction. Termed the interpersonal elements of differentiation (Skowron et al., 2003), FO and EC involve an individual’s ability to be independent from, while also bonded with, others. An individual who is cutoff from others evades connection and closeness and an individual who is fused with others cannot separate his own self from that of others (Kerr & Bowen, 1988; Skowron & Schmitt, 2003). Such characteristics suggest problematic relational functioning (Kerr & Bowen, 1988) and may set up individual to be vulnerable to eating disorder behaviors and attitudes. Such an individual likely lacks a sense of competency in relationships and is likely to have unfulfilling, troubling, and/or nonexistent relationships with others (Kerr & Bowen, 1988). Researchers have pointed to a connection between depressive symptoms and a lack of satisfying relationships among male college student participants (Givertz & Safford, 2011; Oliffe et al., 2010). Researchers have also linked depression with increased unhealthy dieting behaviors (Boyes, Feltcher, & Latner, 2007) and disordered eating behaviors (Gan et al., 2011) among male college students. Thus, males who experience failures in intimate relationships may experience depression and consequently engage in eating disorder symptoms.
When considered in tandem with the intrapersonal elements of differentiation, however, EC and FO no longer significantly contributed to the explanation of eating disorder symptoms. Previous researchers who reported findings on the link between fusion in family relationships and eating disorder symptoms did not examine the complete construct of differentiation, but rather focused on the interpersonal elements of differentiation (Blackmer et al., 2011; Levy & Hadley, 1998). Thus, while FO and ECs in relationships may be associated with eating disorder symptoms, these constructs appear to be less salient in comparison to the intrapersonal domains of differentiation.
Family Counseling Implications
Family counselors may want to attend to a male client’s level of differentiation of self, particularly if that client reports eating disorder symptoms. Our study results suggest that four elements of differentiation (IP, ER, FO, and EC) may be pertinent to male eating disorder symptomatology. In particular, ER and IP were especially relevant to male eating disorder behaviors and attitudes, with ER evincing the strongest relationship. Family counselors may thus want to focus clinical interventions on a male client’s sense of self and particularly on a client’s susceptibility to emotional reactions. In the following section, we provide recommendations for assessment and intervention related to differentiation of self.
Assessment
Family counselors can borrow insights from differentiation assessment tools in order to inquire about specific client beliefs and attitudes. For example, drawing from the DSI-R (Skowron & Schmitt, 2003) counselors could ask clients to share how they manage situations when they believe one way, but others assert that they are wrong. This would tap into a client’s IP, as an item on the IP subscale of the DSI-R is: “I usually do not change my behavior simply to please another person” (Skowron & Schmitt, 2003, p. 221). A client with a high IP will likely be able to reference a range of times when he maintained his point of view and was not excessively impacted by the pressures of others (Skowron & Schmitt, 2003). Counselors can also ask clients to discuss how they usually use thoughts and emotions to make decisions. This would address a client’s level of ER; an item on the ER subscale of the DSI-R is as follows: “At times my feelings get the best of me and I have trouble thinking clearly” (Skowron & Schmitt, 2003, p. 221). A client with low ER would be able to use rational thought in decision making and not be overwhelmed by emotions (Skowron & Schmitt, 2003). Counselors can also ask about client relationship patterns, such as how the opinions of others inform client decision making. This would tap into a client’s level of FO; an item on the FO subscale of the DSI-R highlights this issue: “I often feel unsure when others are not around to help me make a decision” (Skowron & Schmitt, 2003, p. 222). A highly fused individual would be unable to make decisions without others’ input (Skowron & Schmitt, 2003). An inquiry into a client’s preferred level of closeness with family members and/or partners would provide insight into a client’s level of EC; a highly cutoff individual prefers distance in relationships (Skowron & Schmitt, 2003). An item from the EC subscale of the DSI-R references this issue: “When one of my relationships becomes very intense, I feel the urge to run away from it” (Skowron & Schmitt, 2003, p. 222).
Intervention
Family counselors can also use the results of this study in selecting counseling interventions. Page, Weiss, and Lietaer (2001) highlighted the Gestalt therapy two-chair technique (e.g., Clarke & Greenberg, 1986) as being a specifically beneficial humanistic counseling intervention and noted the applicability of this intervention to individual or group settings. In the following section, we summarize and apply this technique to family counseling with male clients who report low self-differentiation and eating disorder symptoms.
Greenberg (1979) discussed the Gestalt empty chair technique (Perls, 1973) and explicated how to carry out a particular application of this method—a two-chair strategy—with clients. Greenberg (1979) underscored several splits which a client might display; a split was defined as “a verbal performance pattern in which a client reported a division of the self process into two partial aspects of the self or tendencies” (p. 317). This two-chair technique has been found to be beneficial for clients struggling with internal discord (Clarke & Greenberg, 1986; Greenberg & Dompierre, 1981). In this technique, after clients express a conflict around an issue, a counselor sets up an experiment wherein the client talks to both sides of the conflict (Clarke & Greenberg, 1986; Greenberg, 1979; Greenberg & Dompierre, 1981).
Male clients with low differentiation of self may struggle with internal conflicts regarding eating disorder symptoms. Authors have noted a tendency for eating disorder sufferers to express tension between continuing and stopping symptoms, especially with anorexia symptoms (Williams & Reid, 2010). A client with a high ER (i.e., a client who is highly guided by emotions, rather than cognitions; Kerr & Bowen, 1988; Skowron & Schmitt, 2003) may also experience such internal tensions. Such a client may experience tension related to strong emotions about body and eating. A client may voice knowledge about the detriments of desiring a different body, yet may voice intense feelings about wanting to look a certain way. Similarly, such a client may admit knowledge that binge eating will not be helpful in dealing with academic stress in college, but may communicate an inability to control the urge to do so. Thus, a two-chair strategy wherein a client views each chair as one side of this struggle (Clarke & Greenberg, 1986; Greenberg, 1979; Greenberg & Dompierre, 1981) may be helpful for emotionally reactive clients.
Clients may also be assisted by engaging in this two-chair dialogue during family counseling sessions. For example, a client who experiences FO will likely have problems making individual decisions and may inordinately rely on family members for guidance (Skowron & Schmitt, 2003). As our results revealed, high levels of FO were correlated with increased eating disorder symptoms among male participants. Thus, family counselors can ask a client to engage in a two-chair strategy, wherein the rest of the family observes a client’s decision-making process. A male client with eating disorder symptoms may build a sense of confidence through experiencing his personal ability to process a difficult decision without asking others for assistance. Family members may gain surety of the decision-making capacity of the client.
Strengths and Limitations
Our study is strengthened by our attention to several deficits in the literature on eating disorders and differentiation among males by, for example, assessing four domains of differentiation. Prior researchers have emphasized the interpersonal elements of differentiation (Blackmer et al., 2011; Levy & Hadley, 1998); our study examined the intrapersonal domains as well. Our study is also limited in several ways. The response rate may be a limitation, in addition to the demographic traits of participants, who were predominantly White/Caucasian and heterosexual. This lack of diversity may reduce the generalizability of findings. Another limitation involves the intended participant age range for the DSI-R, which is at least 25 (Skowron & Friedlander, 1998; Skowron & Schmitt, 2003). Schwartz et al. (2010) used the original DSI, also intended for a participant age of at least 25 (Skowron & Friedlander, 1998), and noted the potential limitations involved with a younger participant age. Also, as noted previously, the EAT-26 was developed with female participants (Garner et al., 1982). Previous researchers have used the EAT-26 with male participants (e.g., Gan et al., 2011; Reyes-Rodriguez et al., 2011; Tao, 2010), but this nonetheless represents a limitation of the study.
Future Research
Potential future directions for research include qualitative analyses, wherein male participants who struggle with eating disorder symptoms are interviewed about issues related to differentiation of self. Such research may suggest ways in which differentiation of self domains influence eating disorder symptoms. Prior researchers have documented a link between male body displeasure and differentiation of self (Schwartz et al., 2010); future researchers could assess male participant body dissatisfaction, differentiation, and eating disorder symptoms in one investigation. The current study, while representing an initial step in understanding the links between eating disorder symptoms and differentiation among male college student participants, does not indicate other variables that may be involved in this relationship. Examination of predictor variables, in addition to mediating and moderating variables, is important extension of this area of research.
Footnotes
Declaration of Conflicting Interests
The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Funding
The author(s) received no financial support for the research, authorship, and/or publication of this article.
