Personality subtypes in female prebariatric obese patients: do they differ in eating disorder symptoms, psychological complaints and coping behaviour?
BRIEF REPORTPersonality Subtypes in Female Pre-Bariatric Obese Patients:Do They Differ in Eating Disorder Symptoms, PsychologicalComplaints and Coping Behaviour?Laurence Claes1*, Walter Vandereycken1,2, An Vandeputte2 & Caroline Braet2,31Department of Psychology, Catholic University of Leuven, Leuven, Belgium2Eetexpert.be, Bergestraat 60, 3220 Holsbeek, Belgium3Department of Psychology, University of Ghent, Ghent, Belgium
In the pre-bariatric psychological assessment of 102 morbidly obese women, two personality subtypes emerged: a resilient/high functioningsubtype with a ‘normal’ personality profile and an emotional dysregulated/undercontrolled subtype, characterized by high neuroticism andlow extraversion/conscientiousness. Emotional dysregulated/undercontrolled patients showed more concerns about eating/weight/shape,more binge eating driven by emotions and external triggers, more psychological complaints (such as depression and anxiety) and more avoid-ance and depressive coping reactions than resilient/high functioning patients. Further research should clarify whether these clearly differentpsychological profiles are related to different outcomes (weight loss or well-being) of bariatric surgery. Copyright 2012 John Wiley & Sons,Ltd and Eating Disorders Association. Supporting information may be found in the online version of this article.
obesity; psychological assessment; personality types; eating disorders; bariatric surgery
Laurence Claes, KUL Department of Psychology, Tiensestraat 102, B-3000 Leuven, Belgium. Tel.: +32-16-326133; Fax: +32-16-325916.
Published online in Wiley Online Library (wileyonlinelibrary.com) DOI: 10.1002/erv.2188
able to tailor treatments to the individual patients’ needs (Braet &Beyers, 2009).
In most western industrialized countries, obesity has become a
Eating pathology markers — eating disorder symptoms in
major health problem. In 2008, 13% of the male and 14% of the
general and dietary restraint in particular — may indicate a poor
female adult population in Belgium showed a body mass index
prognosis in obese patients with binge eating problems and have
[BMI = weight in kg/(length in meters)2] ≥ 30, with the highest
been associated with excessive weight gain. Therefore, Grilo,
prevalence of obesity in the age range 55–64 years (Drieskens,
Masheb, and Wilson (2001) tried to identify subtypes on the basis
2008). Bariatric surgery as treatment for severe (BMI 35–49) and
of the presence or the absence of particular eating disorder symp-
morbid (BMI ≥ 40) obesity can offer a satisfying solution for the
toms and psychopathology. Cluster analysis revealed a dietary-
patient confronted with the physical and psychological risks and
negative affect subtype and a pure dietary subtype. Remarkably,
consequences (van den Oever & Volckaert, 2006). Many studies
the subtype characterized with high scores on negative affect
(for overview, see Müller et al., 2012) have made a differentiation
appears to be related to poorer treatment response. Hence, asses-
between obese patients with and without binge eating disorder
sing a broader range of pretreatment characteristics besides eating
(BED) and eating disorder patients with and without a lifetime
disorder symptoms can be useful in developing an optimal treat-
history of obesity (Villarejo et al., 2012): Differences were found
ment plan matched to the patients’ strengths and weaknesses.
in terms of eating attitudes and behaviour (Hsu et al., 2002; Wilfley,
Therefore, the present study is aimed at differentiating subtypes
Schwartz, Spurrell, & Fairburn, 2000), comorbid psychopathology
in morbidly obese pre-bariatric patients in correlation with eating
(Jones-Corneille et al., 2012; Mühlhans, Horbach, & de Zwaan,
disorder pathology, psychological symptoms and coping styles.
2009; Rosenberger, Henderson, & Grilo, 2006) and personality
Up till now, there exist surprisingly few studies that focus on
disorders/traits (e.g. Auerbach-Barber, 1998; Bulik, Sullivan, &
subgroups in adult obese patients. Only Jansen, Havermans,
Kendler, 2002; Fassino et al., 2002; Specker, de Zwaan, Raymond,
Nederkoorn, and Roefs (2008) performed a cluster analysis in a
& Mitchell, 1994; van Hanswijck de Jonge, van Furth, Lacey, &
community sample of overweight and obese people, and found
Waller, 2003). So, it seems that there exist different subgroups in
a cluster high in negative affect and another one low in negative
obese patients, with different needs among these patients. By
affect. There were no differences in BMI between both clusters,
assessing the pretreatment characteristics of patients, we may be
but patients in the high negative affect cluster showed more
Eur. Eat. Disorders Rev. (2012) 2012 John Wiley & Sons, Ltd and Eating Disorders Association.
Personality Sybtypes in Pre-Bariatric Obese Patients
frequent binge eating and more body-related worrying. So, it
respect to medical comorbidity (as noted in the patients’ charts),
seems important to test also in obese pre-bariatric samples if there
19.6% (n = 20) had high blood pressure, 22.5% (n = 23) rheuma-
exists a subtype of patients characterized by emotional dysregula-
toid arthritis, 16.7% (n = 17) high levels of cholesterol, 13.7%
tion that is assumed to induce emotional eating (Grilo et al.,
(n = 14) diabetes type 2, 6.9% (n = 7) pulmonary disease, 1%
2001) and binge eating, known as maladaptive coping strategies
(n = 1) a cerebrovascular accident and 5.9% (n = 6) sleep apnea.
that complicate weight loss. Furthermore, if we find thesesubtypes in obese pre-bariatric samples, we can plead for more
psychological support and fine-tuned interventions specifically
To determine the personality prototypes, we made use of the
in the emotionally dysregulated subgroup.
NEO-FFI (Costa & McCrae, 1992; Dutch version: Hoekstra,
Previous research in eating disorder patients, based on the
Ormel, & de Fruyt, 1996). The NEO-FFI is a well-known instru-
Neuroticism, Extraversion, Openness to Experience—Five Factor
ment to assess both normal and abnormal variants of personality
Inventory (NEO-FFI), showed three personality clusters: a dysre-
functioning. Furthermore, previous research on personality sub-
gulated/undercontrolled cluster, characterized by elevated scores
types in eating disorder patients also used the NEO-FFI (e.g. Claes
on Neuroticism and low scores on Conscientiousness and Agree-
et al., 2006), which makes it possible to compare these findings
ableness; a constricted/overcontrolled cluster, characterized by
with those in obese patients. The NEO-FFI is a 60-item self-report
high scores on Neuroticism and Conscientiousness and low scores
measure of five major personality traits: Neuroticism, Extraver-
on Openness to Experience; and a high functioning/resilient clus-
sion, Openness to Experience, Agreeableness and Conscientious-
ter without pronounced personality pathology (Claes et al., 2006;
ness. Items are answered on a five-point scale ranging from
Thompson-Brenner & Westen, 2005). Remarkably, differentia-
‘strongly agree’ to ‘strongly disagree’. There is considerable
tion on other dimensions such as personality characteristics has
evidence for the reliability and construct validity of the Dutch
not yet been explored in obese samples but certainly worthwhile
to consider. Expanding the findings of Jansen et al. (2008) in a
To assess the eating disorder-related problems in our present
community sample, the first aim of the present study is to find
sample, we used the Eating Disorder Examination—Self-Report
out whether we can identify different personality subtypes in a
Questionnaire Version (EDE-Q; Fairburn & Beglin, 1994). The
sample of pre-bariatric obese patients, on the basis of the Big Five
EDE-Q is a 41-item measure adapted from the Eating Disorder
personality dimensions. This approach is recognized as the most
Examination (EDE; Cooper & Fairburn, 1987), a structured clin-
comprehensive way of characterizing people (Markon, Krueger,
ical interview assessing the key behavioural features and associated
& Watson, 2005). Moreover, on the basis of the Big Five
psychopathology of eating disorders. The EDE-Q consists of four
personality traits, it is also possible to identify highly resilient
subscales: Restraint, Weight Concern, Shape Concern and Eating
people (e.g. Claes et al., 2006). If subtyping is possible based on
Concern. Luce and Crowther (1999) reported excellent internal
one test covering the most important personality characteristics,
consistency and test–retest reliability for the four subscales.
it is a cost-effective way of assessing pretreatment characteristics.
To get a better idea of the factors that trigger binge-eating epi-
Interestingly, the personality profiles in eating disorders are
sodes, we also applied the Dutch Eating Behaviour Questionnaire
characterized by differences on a broad range of patient character-
(DEBQ; Van Strien, Frijters, Bergers, & Defares, 1986). This 33-item
istics (coping skills, depression, interpersonal functioning
self-report questionnaire, to be rated on a five-point scale, assesses
and impulsivity) on which treatment techniques can be focused
three separate factors of eating behaviour: restrained eating (items
(e.g. Claes et al., 2006; Thompson-Brenner & Westen, 2005).
related to weight control), emotional eating (eating related to emo-
However, little is known about the fact whether obese subtypes
tional states) and external eating (eating related to external cues).
also differ on these patient characteristics. Therefore, as a second
Several studies have confirmed the convergent, discriminative and
aim, we want to study whether also in obese samples there exists
concurrent validity of the DEBQ (Van Strien et al., 1986). Weight
a personality subtype showing more eating disorder-related
fluctuations were calculated by subtracting the DEBQ Lowest
symptoms (e.g. binge eating), more psychological symptoms
Weight item (in kilograms) from the DEBQ Highest Weight item
(e.g. depression) and more maladaptive coping behaviours
(in kilograms) as assessed during adulthood.
To assess affective and interpersonal psychopathology, we
made use of the Symptom Checklist (SCL-90; Dutch version:
Arrindell & Ettema, 1986). The SCL-90 is a well-known measurefor the assessment of a wide range of psychiatric symptoms. It
consists of 90 items (symptoms) to be rated on a five-point scale
The original sample consisted of 135 female obese patients who
ranging from ‘not at all applicable’ to ‘strongly applicable’. Along
were psychologically screened as part of their pre-bariatric surgery
with a global measure for psychoneuroticism, it measures symp-
assessment. We have excluded 10 patients who did not complete
toms of general anxiety, phobic anxiety, depression, somatization,
the assessment and 23 patients who already underwent a surgical
obsessions/compulsions, paranoid ideation and interpersonal
intervention for their obesity (most often, gastric banding). The
sensitivity, hostility, and sleeplessness. The validity studies of the
mean BMI of the remaining sample (n = 102) was 40.7 (SD = 4.16;
SCL-90 demonstrate ‘good’ to ‘very good’ levels of concurrent,
range 31–52): 2.9% (n = 3) suffered from obesity grade 1 (BMI
convergent, discriminant and construct validity (Arrindell &
30–34.9), 26.5% (n = 27) from obesity grade 2 (BMI 35–39.9)
and 70.6% (n = 72) from obesity grade 3 (BMI ≥ 40). The mean
Finally, to assess the adaptive and maladaptive coping strategies
age of the sample was 36.4 years (SD = 10.86; range 18–64). With
of our patients, we used the Utrecht Coping List (UCL; Schreurs,
Eur. Eat. Disorders Rev. (2012) 2012 John Wiley & Sons, Ltd and Eating Disorders Association.
Personality Sybtypes in Pre-Bariatric Obese Patients
van de Willige, Brosschot, Tellegen, & Graus, 1993). The UCL
Table 1 Means and standard deviations of the NEO-FFI scales for the RHF and
consists of 47 items rated on a four-point scale and divided across
seven scales that measure a variety of different coping strategiesand techniques: Active Problem Solving, Palliative Reactions,
Passive/Depressive Reactions, Avoidance, Social Support Seeking,
Expression of Emotions and Self-Soothing Thoughts. There isconsiderable evidence for the reliability and construct validity of
To determine the personality subtypes in our sample, cluster
analysis was performed on the five NEO-FFI personality scales
by means of the K-means cluster analysis procedure provided by
RHF, resilient/high functioning subtype; EDU, emotional dysregulated/undercon-
SPSS 19 (SPSS Inc., Chicago, IL, USA). To cross-validate the
trolled subtype; NEO-FFI, Neuroticism, Extraversion, Openness to Experience—
obtained cluster solution, we also performed a model-based
cluster analysis by using the S-PLUS 8 software program and the
MCLUST library (Fraley & Raftery, 2003). To externally validate
the clusters, we performed MANOVAs with the personality
clusters as independent variables and the demographic variables,eating disorder symptoms, psychological symptoms and copingstrategies as dependent variables.
above the mean on Neuroticism and below the mean on Extraver-sion, Agreeableness and Conscientiousness, whereas the opposite
The cluster analyses revealed that a two-cluster solution fitted the
data best. In Figure, 1, mean z-standardized NEO-FFI scale scores
With respect to age, we did not find significant differences
for the two subtypes in the total sample are presented. The first
between RHF patients (Mage = 38.61, SD = 9.93) and EDU patients
subtype (on the left) is characterized by a negative score on
(Mage = 34.73, SD = 11.34) [F(1, 97) = 3.19, ns]. Similarly, RHF
Neuroticism and positive scores on Extraversion, Openness,
patients did not significantly differ from EDU patients with
Agreeableness and Conscientiousness, whereas the second
respect to the level of education [w(3) = 3.33, ns]. The distribution
subtype (on the right) is characterized by the opposite pattern.
of education for the RHF/EDU patients was as follows: elementary
On the basis of the literature (e.g. Asendorpf, Borkenau, Osten-
school (4.7% vs 11.1%), secondary school (60.5% vs 66.7%),
dorf, & van Aken, 2001), patients of subtype 1 (n = 44, 43.1%)
higher education outside university (30.2% vs 16.7%) and univer-
are therefore called resilient/high functioning (RHF), whereas
patients of subtype 2 (n = 58; 56.9%) are called emotionally dysre-gulated/undercontrolled (EDU). The results of the MANOVA
Personality subtypes and eating disorder-related
with the personality clusters as independent variables and the
NEO-FFI scales as dependent variables (Table 1) showed signifi-
The current BMI of the RHF patients was similar to the BMI of
cant differences between the two clusters on all NEO-FFI scales
the EDU patients, and the same results were found for weight
[Wilks’ Lambda = 0.36, F(5, 96) = 33.16, p < 0.001]. Compared
fluctuations (Table 2). However, we found significant differences
with data of normal controls (manual), the EDU group scored
between EDU and RHF patients with respect to the EDE-Q scales[Wilks’ Lambda = 0.75, F(4, 82) = 6.71, p < 0.001]. The EDU
patients scored significantly higher on the EDE-Q Eating, Weight
and Shape Concern scales than RHF patients, whereas no signifi-
cant differences emerged with respect to the EDE-Q scale
Restraint. With respect to eating disorder-related behaviours,
EDU patients reported significantly more EDE-Q objective
(1) = 4.21, p < 0.05] than RHF patients.
Finally, we found significant differences between EDU and RHF
patients with respect to the DEBQ scales [Wilks’ Lambda = 0.86,
F(3, 92) = 4.63, p < 0.01]. The EDU patients scored significantly
higher on the DEBQ Emotional Eating and External Eating scales
than RHF patients, whereas the RHF patients scored significantlyhigher than EDU patients on the DEBQ scale Restraint Eating.
Figure 1 Two personality subtypes characterized by their standardized Big Five
When comparing the scores on emotional and external eating
patterns in the female obese sample (N = 102)
with data of normal controls, the EDU morbidly obese patients
Eur. Eat. Disorders Rev. (2012) 2012 John Wiley & Sons, Ltd and Eating Disorders Association.
Personality Sybtypes in Pre-Bariatric Obese Patients
Table 2 Means and standard deviations of the BMI, weight fluctuation, EDE-Q
Table 3 Means and standard deviations of the SCL-90 scales for the RHF
and DEBQ scales for the RHF and EDU subtypes
RHF, resilient/high functioning subtype; EDU, emotional dysregulated/undercon-
RHF, resilient/high functioning subtype; EDU, emotional dysregulated/undercon-
trolled subtype; BMI, body mass index; EDE-Q, Eating Disorder Examination—
trolled subtype; SCL-90, Symptom Checklist.
Self-Report Questionnaire Version; DEBQ, Dutch Eating Behaviour Questionnaire.
1Five patients did not complete the SCL-90.
scored high on both scales, whereas the RHF group scored on the
Table 4 Means and standard deviations of the UCL scales for the RHF
Personality subtypes and psychological symptoms
Overall, EDU patients showed significantly more psychological
symptoms than RHF patients [Wilks’ Lambda = 0.65, F(9,85) = 4.95, p < 0.001] on the SCL-90: Agoraphobia, Anxiety,
Depression, Somatization, Insufficiency of Thinking, Interpersonal
Sensitivity, Hostility, Psychoticism and Psychoneuroticism (total
score) except for Sleeping Problems. Compared with data of normal
controls, the EDU patients scored high to very high on all the SCL-
90 scales, whereas the RHF group scored in the medium to above
Personality subtypes and coping behaviour
RHF, resilient/high functioning subtype; EDU, emotional dysregulated/undercon-
Finally, we found significant differences between EDU and RHF
trolled subtype; UCL, Utrecht Coping List.
patients with respect to coping behaviour [Wilks’ Lambda = 0.67,
1Two patients did not complete the UCL.
F(7, 92) = 6.39, p < 0.001]. RHF patients scored significantly
higher on UCL scale Active Problem Solving, whereas EDU
patients scored significantly higher on the UCL scales Palliative
Reactions, Avoidant Coping and Depressive Coping. Comparedwith data of normal controls, the EDU group scored high onPalliative Reactions, Avoidant Coping and Depressive Coping,
a ‘normal’ personality profile, and an EDU subtype (56.9%), char-
whereas RHF scored high on Active Problem Solving (Table 4).
acterized by high Neuroticism, low Extraversion/Agreeablenessand lower Conscientiousness. Obese people belonging to the latter
subtype can be described as high on negative affect, with poorsocial contacts and less cognitive control. These findings confirm
Our major aims were to identify personality subtypes of morbidly
the results of Rydén et al. (2003, 2004) who reported that severely
obese female patients who applied for bariatric surgery and to inves-
obese patients seeking treatment were characterized by more
tigate whether these subtypes showed differences in weight and
anxiety, impulsivity and irritability than a non-obese reference
eating behaviours, psychological complaints and coping strategies.
group and Kalarchian et al. (2007), who reported that patients
On the basis of the Big Five personality traits, we were able to
seeking bariatric surgery were more likely to have a personality
identify two personality subtypes: an RHF subtype (43.1%), with
disorder, characterized by anxious and fearful behaviour. Our
Eur. Eat. Disorders Rev. (2012) 2012 John Wiley & Sons, Ltd and Eating Disorders Association.
Personality Sybtypes in Pre-Bariatric Obese Patients
findings also replicate Jansen et al. (2008) who were the first to
reported by Grilo et al. (2001) who showed that the negative affect
identify in obese people two subtypes with one scoring high on
subtype was characterized by more binge eating and less adequate
negative affect. Furthermore, personality subtypes were already
emotion regulation strategies, which increase the probability of a
identified in a group of female eating disorder patients, in which
poor outcome, given that eating behaviours were used as a coping
on the basis of four of the five NEO subscales, also an EDU
strategy with the increase of weight as a negative consequence. In
subtype was found, besides an RHF subtype and an overcontrolled
contrast, obese patients of the RHF subtype were characterized by
subtype (Claes et al., 2006). An overcontrolled subtype was not
lower degrees of weight concerns and psychological symptoms,
prevalent in our morbidly obese sample, but this is not surprising
probably thanks to their more active coping styles (to deal with
given that the overcontrolled subtype was found primarily among
restrictive anorexia nervosa patients, characterized by emotional
Given that we were able to distinguish personality subtypes
instability but also rigidity/obsessiveness (Claes et al., 2006), a
with different psychological profiles in our group of morbidly
feature that is usually absent in morbidly obese patients.
obese patients, further research is necessary to investigate whether
With respect to eating disorder-related behaviours, EDU
these profiles also have predictive power with respect to the out-
patients engaged significantly more in binge eating compared with
come of treatment in general, and bariatric surgery in particular,
RHF patients, and their binge episodes seemed primarily triggered
in terms of weight loss and general well-being. Such research is
by external cues and emotions. Given their personality subtype
needed to guide the treatment of choice for patients with more
characterized by high negative affect and more impulsive/less con-
at risk personality features and related psychopathology.
trolled nature, it is not surprising that the EDU patients give in
However, the results of this study are not without limitations.
easier to ‘attractive’ food cues compared with RHF patients. Also,
First of all, the sample consists of morbidly obese female patients
the higher score on emotional eating in the EDU patients is in line
who were all applying for bariatric surgery. The results of the
with Elfhag and Morey (2008), who also found significant associa-
study can therefore not be generalized to male patients and
tions between emotional eating and high neuroticism, low extra-
morbidly obese patients who are not seeking bariatric surgery.
version and low conscientiousness. The correlations between
Furthermore, because patients came from different centres each
Emotional Eating and Neuroticism (r = .40, n = 99), Extraversion
using their own procedure of physical assessment, information
(r = À.26, n = 99) and Conscientiousness (r = À.32, n = 99) in
on somatic comorbidity needs to be interpreted with caution.
our sample confirm this hypothesis.
Finally, a more systematic psychiatric assessment, including Axis
Compared with RHF patients, EDU patients also reported
I and Axis II diagnoses, would be advisable but was not available
more concerns about their eating, weight and body shape,
although their actual BMI was similar (see also Jansen et al.,2008). Further, they have higher scores on anxiety-related anddepression-related symptoms, and higher scores on avoidance
and depressive coping styles. This seems to indicate that the eatingbehaviour of the EDU patients could have an emotion-regulating
The authors would like to thank the following members of the
function (avoiding or escaping from negative affect). The correla-
Obesity Task Force of Eetexpert.be for their help with data collec-
tions between the scores of the EDE-Q subscales and the SCL-90
tion: Bex Annelies, Boekaerts Els, Brants Lies, Brunelli Barbara,
and UCL subscales confirm this hypothesis. Similar findings were
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Institute of Certified Management Accountants of Sri Lanka Professional I Stage March 2011 Examination Examination Date : 3rd April 2011 Number of Pages : 03 Examination Time : 9.30 a:m.- 12.30 p:m. Number of Questions : 04 Instructions to candidates: Time allowed is three (3) Hours Answer all questions Answers should be entirely in the English Language
An extract of black, green, and mulberry teas causes malabsorptionof carbohydrate but not of triacylglycerol in healthy volunteers1–3 Litao Zhong, Julie K Furne, and Michael D Levitt ABSTRACT in green tea are dimerized to form a variety of theaflavins (1); Background: In vitro studies suggest that extracts of black, green, thus, these teas may have different biological activities. and