Introduction

The pre-surgical predictors and underlying mechanisms contributing to insufficient weight loss, early weight regain and poor diabetes control in people undergoing bariatric surgery are complex and poorly understood [1]. Some evidence suggests that psychopathology (including psychiatric disorders, disordered eating behaviour and substance use disorders) may provide an explanation as to why some patients experience sub-optimal results [2]. The relationship between psychopathology and type 2 diabetes mellitus (T2DM) is well established, with a bidirectional relationship supported [3,4,5,6,7,8,9,10]. Studies indicate psychopathology increases the risk of T2DM [5, 9, 11] and that a diagnosed eating disorder has a specific independent risk for the onset of T2DM [6, 12]. It is also well established that T2DM increases the risk of and is highly comorbid with mental health conditions [13].

Despite these strong relationships, there is inconclusive evidence for the specific pre-operative psychological predictors of bariatric surgery outcomes and scant evidence in people with T2DM. A recent scoping review of bariatric surgical candidates revealed the predisposing factors for weight regain were multifactorial and included depression, psychiatric conditions, binge eating disorder (BED) and loss of control eating [1]. In addition, disordered eating has been found to predict insufficient weight loss at 5Ā years in bariatric surgical patients [14]. The relevance of screening for psychopathology is also highlighted by the increased risk of suicidal ideation, non-suicidal self-injury and suicide attempts following bariatric surgery [13, 15, 16]. Evidence suggests that psychopathology predicts post-operative suicidal behaviour (e.g. history of suicidal ideation, history of major depressive disorder (MDD) [17] and current antidepressant use [18]). Accurate screening methods to identify these pre-operative risk factors are, therefore, paramount in facilitating timely identification and intervention.

There is sparse evidence examining psychopathology and eating behaviour in people with T2DM seeking bariatric surgery. Review of the literature yielded inconsistent definitions and measurement of comorbid T2DM and psychopathology [19,20,21,22,23,24] including primarily lifetime, not current measures of MDD and BED [23, 24]. One study examined the prevalence of concurrent BED and T2DM in bariatric surgery candidates, revealing 8.2% in their sample met criteria for both [19]. Considering the dearth of psychopathology research for people with T2DM undergoing bariatric surgery and the significant burden on patients if undetected, further research is warranted to explore the prevalence and risk of psychopathology in this specific cohort [19,20,21,22,23,24]. The current study aimed to explore rates of psychopathology and disordered eating using a multi-modal assessment strategy in an unselected group of patients referred for consideration of bariatric surgery for management of T2DM.

Methods

Participants

Study participants were 401 patients from a state-wide bariatric surgery service for people with T2DM. The study will refer to the cohort as the RB-BariPsy Cohort. The mean age of the participants was 51.14Ā yearsā€‰Ā±ā€‰9.48 (range 18ā€“65Ā years) with a mean body mass index (BMI) of 46.23ā€‰Ā±ā€‰7.2 (range 30.5ā€“69.3Ā kg/m2). Table 1 summarises their demographic and clinical characteristics. Of the participants, 18.2% identified as Aboriginal and/or Torres Strait Islander, 86.5% were born in Australia, 5.5% born in New Zealand, 2.5% born in England and 6.5% born in other countries.

Table 1 Demographic and clinical characteristics
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Procedure

The present study investigated a consecutive series of adults with T2DM seeking bariatric surgery from a public hospital service between 2017 and 2021 (labelled RB-BariPsy cohort). The service is a state-wide publicly funded service with the following inclusion criteria: adults between the ages of 18 and 65Ā years with T2DM and glycated haemoglobin (HbA1c) greater than 6.5% despite two or more anti-hyperglycaemic agents, weight less than 185Ā kg (407.86 pounds), BMI greater than 30Ā kg/m2. Psychosocial risk factors (Table 2), clinical measures and psychopathology measures were collected at baseline clinic appointment. Anthropometric data were measured at date of assessment and again at date of surgery.

Table 2 Psychosocial risk factors
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Ethical approval

The study was approved by the Human Research Ethics Committee (HREC) of the Royal Brisbane and Womenā€™s Hospital (approval codeĀ LNR/2020/QRBW/65708). As the study employed deidentified data from a clinical database, individual patient consent was not required.

Measures

Diagnostic Interview. Participants underwent semi-structured clinical interviews using an adapted version of the Structured Clinical Interview for DSM-5 (SCID-5, [25]). All interviews were conducted by clinical psychologists. Psychosocial risk factors were collected via structured clinical interview. Psychosocial risk factors were coded based on a protocol written for retrospective chart audit.

Yale Food Addiction Scale (YFAS). The YFAS is a 25-item self-report measure assessing food addiction, where food addiction is conceptualised as consuming larger amounts of food than intended despite repeated failed attempts at cessation [26]. The original measure has two scoring options: a symptom count of ā€œaddiction criteriaā€ ranging 0ā€“7 and a diagnosis of ā€œyes/noā€. Internal reliability, convergent validity and discriminant validity have been demonstrated as adequate [26]. Internal consistency in the RB-BariPsy cohort was acceptable (Ī±ā€‰=ā€‰0.76).

Dutch Eating Behaviour Questionnaire (DEBQ). The DEBQ is a 33-item self-report assessment with three main subscales measuring eating behaviour. These are labelled restrained eating (10 items), emotional eating (13 items) and external eating (10 items) and have been shown to exhibit good psychometric properties [27, 28]. The Emotional Eating subscale has two dimensions: diffuse emotions (eating in response to diffuse emotions [4 items]) and clearly labelled emotions (eating in response to clearly labelled emotions [9 items]) [27]. The restrained eating (Ī±ā€‰=ā€‰0.88), emotional eating (Ī±ā€‰=ā€‰0.954) and external eating (Ī±ā€‰=ā€‰0.87) subscales were found to have good internal consistency in the RB-BariPsy cohort. Further, good internal consistency was found in the RB-BariPsy for the clearly labelled emotions (Ī±ā€‰=ā€‰0.94) and diffuse emotions (Ī±ā€‰=ā€‰0.88) subscales.

Binge Eating Scale (BES). The BES consists of 16 self-report items measuring behavioural manifestations of binge eating and feelings and cognitions surrounding a binge episode [29]. Designed as a measure of severity, each item is rated on a Likert scale from 0 to 3. It has been demonstrated to be sensitive and specific in distinguishing between compulsive and normal eaters and validity in clinical populations [30, 31]. It is the most commonly used clinical assessment of binge eating in pre-bariatric assessment [32]. In the RB-BariPsy cohort, internal consistency was found to be good (Ī±ā€‰=ā€‰0.89).

Hospital Anxiety and Depression Scale (HADS). The HADS is a 14-item self-report measure with 7 items measuring anxiety and 7 items measuring depression [33]. It uses a 4-point (0ā€“3) Likert severity scale, with 2 reverse scored items. It has demonstrated good internal consistency for both scales (0.80 for anxiety and 0.76 for depression; [34]). The HADS has been used to track trends in people with obesity seeking weight loss interventions [35]. The comparison sample was the Swedish Obesity Subjects [35] (Nā€‰=ā€‰655). In the RB-BariPsy cohort internal consistency was good for the Anxiety subscale (Ī±ā€‰=ā€‰0.83) and acceptable for the Depression subscale (Ī±ā€‰=ā€‰0.71).

Alcohol Use Dependence Test (AUDIT). The AUDIT measures alcohol use with three domains: alcohol consumption/hazardous drinking, alcohol-related problems/harmful drinking and alcohol dependence symptoms [36]. It was designed to detect hazardous and harmful drinking on a spectrum, providing opportunity for early and targeted interventions. Compared to other alcohol screening tools, the AUDIT has adequate reliability, validity, sensitivity and specificity [37, 38]. Internal consistency in the RB-BariPsy cohort was acceptable (Ī±ā€‰=ā€‰0.76). King et al. [13] is a sample of bariatric candidates from the Longitudinal Assessment of Bariatric Surgery-2 study; (2458 participants, 78.8% female).

Grazing Questionnaire (GQ). The GQ is a seven-item self-report measure of grazing, an eating pattern characterised by repetitive eating of unplanned small amounts of food [39]. The GQ consists of two subscales: a grazing behaviour and a loss of control grazing scale. Internal consistency in this sample was good (Ī±ā€‰=ā€‰0.91). The grazing behaviour subscale (Ī±ā€‰=ā€‰0.87) and loss of control subscale (Ī±ā€‰=ā€‰0.91) demonstrated good internal consistency in the RB-BariPsy cohort.

Statistical analyses

Descriptive statistics included counts (percentages) and means (standard deviations). Chi-squared test and ANOVA were used to compare the patient characteristics by group. Comparisons for the AUDIT, Grazing Questionnaire and DEBQ compared the current data to the comparison samples [13, 27, 39]. Pearsonā€™s correlation was used to test for associations between insulin levels, HbAlC and disordered eating behaviours. Analyses were run in the IBM SPSS Statistics Package (version 26).

Results

Ethnicity

There were no statistically significant differences in psychosocial risk factors or in measures of psychopathology between those who were identified as Aboriginal and/or Torres Strait Islander and those who did not (Please see Table 6 in Supplementary). Psychosocial risk factor prevalence rates for all study participants are presented in Table 2.

Frequency of psychopathology and eating behaviour

The mean total score on the BES was 21.82ā€‰Ā±ā€‰10.40 (range 0ā€“39). Using the cut-off 27 used in the previous studies [29], 8.2% of participants met criteria for severe binge eating. Grazing behaviour mean total grazing score was 10.82ā€‰Ā±ā€‰5.9. This can be compared to the score of 18.6ā€‰Ā±ā€‰4.59 found in the validation study [39].

Prevalence rates of risk factors derived from the diagnostic interview are displayed in Table 3, indicating high endorsement of emotional eating, insomnia, anxiety-related conditions and reliance on beverages. On the HADS, depression mean was 6.24ā€‰Ā±ā€‰4.13, with 28.4% of the sample meeting caseness criteria. For HADS, anxiety mean was 6.79ā€‰Ā±ā€‰4.12 with 39.1% meeting caseness [33]. Table 4 displays the DEBQ data, indicating that external eating, emotional eating (diffuse emotions and clearly labelled emotions) were significantly different to both reference samples. AUDIT data are presented in Table 5 displaying that alcohol consumption, total score, dependence symptoms and alcohol-related harm were significantly lower than the comparison sample [13].

Table 3 Interview-based psychopathology and relationship with disordered eating
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Table 4 Comparison of eating behaviours with reference groups
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Table 5 Comparison of alcohol use pre-surgery with reference group
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Presence of eating disorders and degree of glycemic compensation

There was no difference in baseline HbA1C between participants diagnosed with BED (F(3, 396)ā€‰=ā€‰0.23, pā€‰=ā€‰0.87], BN (F(3, 397)ā€‰=ā€‰0.11, pā€‰=ā€‰0.9], NES (F(3, 396)ā€‰=ā€‰0.49, pā€‰=ā€‰0.69], OSFED (F(3, 396)ā€‰=ā€‰1.89, pā€‰=ā€‰0.13] and those with historical or no diagnosis. At baseline, total daily dose of insulin was not significantly correlated with binge eating severity rā€‰=ā€‰-0.09, pā€‰=ā€‰0.07. There was no significant difference in total daily insulin dose between groups identified with BED and those with historical or no BED diagnosis (F(3, 394)ā€‰=ā€‰1.42, pā€‰=ā€‰0.24).

Discussion

To our knowledge, this is the first study to utilise a multi-modal assessment method to measure psychopathology and disordered eating in people with T2DM seeking bariatric surgery. Self-reported baseline emotional and binge eating were found to be significantly increased in those diagnosed with MDD, social anxiety disorder, agoraphobia, BED, NES, OSFED and those without diagnoses. In contrast, a current diagnosis of GAD, food addiction, tobacco use disorder, cannabis use disorder, historical mental health admission and suicide attempt history were only associated with binge eating. These associations suggest eating behaviour may be associated with affect regulation in the presence of clinical levels of social anxiety and depression for people with T2DM. Further research is warranted to test whether these associations exist post-operatively and the risks of disordered eating on surgical outcomes if these psychological conditions remain untreated. Given the association with substance use disorders and historical suicide attempts on binge eating severity alone, it appears relevant to include both a binge eating and emotional eating scale to accompany clinical interview in this group to detect the severity of pre-operative disordered eating. Accordingly, this finding may have implications for distinct causal mechanisms of disordered eating which requires further research to explore. Alternatively, this may reflect endorsing behaviour from patients with these conditions, e.g. patients may have insight into the behaviours of their conditions such as cannabis or tobacco use however do not attribute affect-based reasons for these.

Rates of adverse childhood events (ACEs) were comparable to other pre-bariatric studies [44]. Previous studies highlight the association between childhood trauma and risk of both psychopathology and obesity [45, 46], as well as the possible role of past interpersonal trauma as a risk factor for poor outcome in bariatric surgery [47].

Rates for depression and anxiety were consistent across self-report and diagnostic interview measures. Accurate identification at baseline is essential given that the current anxiety-related disorders have been found to predict less BMI reduction, weight loss and percent excess weight loss 5Ā years post-bariatric surgery [2].

Lifetime rates of eating disorders were also comparable to general bariatric studies [41, 43] highlighting the need for collection of history in assessment and intervention in this sample. Inconsistent prevalence rates have been reported for BED in general bariatric surgical patients (e.g. 3.4%, [40], 16%; [41], 6.7%, [42], 23.3% [48]). The current sample had lower levels of BED compared to Mitchell et al. [43], which included a subset of patients with T2DM (34% of their sample with T2DM met criteria for BED), but comparable levels to that of Webb et al. [19] who found that 8.2% of people with T2DM in their sample met criteria for BED.

Rates of emotional eating were significantly elevated compared to the reference groups[27]. Of note, rates of eating in response to clearly labelled emotions and in response to diffuse emotions were significantly elevated compared to reference samples. Given evidence that emotional eating is predictive of a failure to achieve expected weight loss in general bariatric surgery patients [49], this highlights the need for ongoing screening of emotional eating in this population. Further intervention or adjuvant treatments may need to be considered for the subgroup of candidates in this sample who endorse emotional eating.

Insomnia was common in this sample and the prevalence rate of night eating syndrome (NES) was comparable to previously documented studies [50]. Further research is warranted to explore insomnia and NES in this cohort given its association with substandard glycemic control in prior research [51]. History of attempted suicide was also commonly endorsed compared to the Australian population (0.25%; [52]) and psychotropic medication was commonly prescribed. Whilst there could be multiple explanations, taken together these findings indicate a vulnerable sample present with multiple risk factors. These specific risks are of particular importance in this group as prior studies have suggested the association with suicidal behaviour post-bariatric surgery [17].

On the AUDIT, measures of alcohol consumption, total use, dependence symptoms and alcohol-related harm were significantly lower than the reference sample of general bariatric surgical candidates [13]. This finding was discrepant to the rates found on clinical interview. This highlights the need for further research examining the reliability and validity of alcohol assessment pre-surgery in the context of people seeking surgical management of T2DM. Previous studies have highlighted the role of demand characteristics such as impression management in pre-surgical candidates [53]. This may provide provisional evidence for the use of multi-modal assessment pre-surgery to effectively screen for harmful levels of alcohol consumption in this cohort, especially given that high alcohol consumption post-bariatric surgery can severely impact quality of life [54].

What is already known on this subject?

There is sparse evidence examining psychopathology and eating behaviour in people with T2DM seeking bariatric surgery.

What does this study add?

Amongst people with T2DM seeking bariatric surgery, those diagnosed with MDD, social anxiety disorder, agoraphobia, BED, NES and OSFED endorsed increased levels of emotional and binge eating compared to those without these conditions. In contrast, those with a current diagnosis of GAD, food addiction, tobacco use disorder, cannabis use disorder and historical mental health admission and suicide attempt history endorsed greater binge eating scores. These findings suggest people with T2DM seeking bariatric surgery may be vulnerable to psychopathology and disordered eating with implications for early identification and intervention.

Limitations

Limitations to this study include the retrospective cross-sectional design and absence of a control group. Demand characteristics may also be present such as social desirability bias in patients awaiting bariatric surgery.

Future research

Further investigation of reliable and valid methods for the early identification and intervention for psychopathology and disordered eating in this subgroup is warranted. Longitudinal designs exploring the course of psychopathology and disordered eating, including trajectories to identify vulnerable patient groups would be advantageous.

Conclusions

Amongst people with T2DM seeking bariatric surgery, those diagnosed with current pre-operative depression, social anxiety and eating disorders endorsed greater severity on measures of both binge and emotional eating. In contrast, those with a current diagnosis of GAD, food addiction, substance use disorders and suicide attempt history endorsed greater binge eating but not emotional eating. There were no significant differences on any measured disordered eating or psychopathology between those who endorsed Aboriginal and/or Torres Strait Islander status and those who did not. These findings suggest people with T2DM seeking bariatric surgery may be vulnerable to psychopathology and disordered eating with implications for early identification and intervention.