Factors associated with lifetime history of eating disorder in non-psychotic patients with suicidal ideation

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Abstract

BACKGROUND: Data on the sociodemographic, biographical, and clinical factors associated with a lifetime diagnosis of eating disorders (ED) in patients with non-psychotic mental disorders (NPMD) and suicidal ideation (SI) are scarce.

METHODS: A cohort study was conducted at the Moscow Research and Clinical Center for Neuropsychiatry. The sample consisted of consecutive patients with non-psychotic mental disorders and SI, aged 18–45 years. Participants with a lifetime diagnosis of anorexia and/or bulimia (then in remission or recovery) were compared with those without ED in terms of their sociodemographic profile, clinical characteristics, lifetime traumatic events, and some behavioral patterns. All participants underwent the Russian version of the Self-Injurious Thoughts and Behaviors Interview and completed the Brief Reasons for Living Inventory, the State and Trait Anxiety Inventory, and the Beck Depression Inventory.

RESULTS: A total of 892 patients with non-psychotic mental disorders and SI were included in the study. The mean age was 25.7 years, and 84% were assigned female at birth. Same-sex experience was more common in the ED group. Patients with an ED were more likely to have a history of physical and sexual abuse and to have witnessed domestic violence. The proportion of participants with piercings, tattoos, or severe body modifications was significantly higher in the ED group. Patients with a lifetime ED were more likely to engage in nonsuicidal self-injurious behaviors and to have a history of suicide attempts.

CONCLUSION: Lifetime ED in NPMD patients with SI is associated with younger age, being assigned female at birth, having an alternative gender identity, having same-sex experience, having more than one psychiatric diagnosis, having been diagnosed with bipolar disorder, experiencing severe depression and anxiety, being exposed to multiple traumatic experiences, having various body modifications, practicing NSSI, and having a lifetime story of suicide attempts.

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INTRODUCTION

Mental disorders are associated not only with a reduced quality of life [1], but also with reduced life expectancy. A meta-analysis by Walker et al. (2015) found that the mortality rate of people with mental disorders is more than double that of the general population [2]. One of the causes of this high mortality rate is suicide [3]. According to some studies, approximately 60% of people who die by suicide meet the diagnostic criteria for a depressive disorder [4]. The Netherlands Study of Depression and Anxiety (NESDA) confirmed the high prevalence of suicidal ideation (SI) and suicide attempts (SA) in patients with comorbid anxiety and depression [5]. Follow-back studies have found that suicide occurs in up to 10% of cases of borderline personality disorder (BPD) [6].

Despite a considerable body of research, most suicidologists agree that suicide prevention at the individual level remains woefully ineffective [7]. This difficulty may be explained by a lack of knowledge about the factors involved in the transition from SI to SA. In this regard, further research focusing on less studied parameters is important to identify the high-risk groups for the transition from thoughts to attempts. Recent studies report that variables such as previous mental disorder (currently inactive due to recovery or remission) may still be risk factors for adverse outcomes, including death by suicide [8, 9].

Anorexia and bulimia nervosa are major public health problems with lifetime prevalence rates of 0.1–4.6% and the typical age of onset in adolescence [10]. Most people with eating disorders (EDs) never achieve complete remission. Approximately 60% of people with anorexia nervosa (AN) do not remit even after 20 years of illness, experiencing multiple relapses and descending into a chronic course of the disorder [11]. It is therefore understandable that those who suffer from such severe and enduring forms of EDs are exposed to many negative consequences. Interestingly, not only current ED, but also a lifetime diagnosis of ED is associated with a poor prognosis [12]. In fact, ED has one of the highest rates of premature mortality among mental disorders [13]. In addition to the adverse somatic consequences of ED, some authors suggest that an increased risk of SA may also explain the high mortality rates. According to a meta-analysis by Arcelus et al. (2011), one in five people with a diagnosis of AN who died committed suicide [14]. Zerwas et al. (2015), who analyzed Danish registries from 1989 to 2006, showed that SA and death by suicide were five times more common in women and men with ED compared to their healthy counterparts [15]. The significant risk of SA and mortality in patients with a lifetime history of ED was further reported by Yao et al. (2016) [16].

To date, the factors associated with a lifetime history of ED diagnoses in patients with non-psychotic mental disorders (NPMD) and SI remain understudied. We hypothesized that the sociodemographic, biographical, and clinical profiles of patients currently suffering from NPMD and SI with a history of ED would differ from those who have never had an ED.

The aim of this study is to investigate the biographical, sociodemographic, and clinical factors associated with a lifetime diagnosis of ED in patients with NPMD and SI.

METHODS

Design

A retrospective cohort study was conducted at the Moscow Research and Clinical Center for Neuropsychiatry between January 2021 and January 2023.

The study protocol was approved by the local ethics committee of the Moscow Research and Clinical Center for Neuropsychiatry. Written informed consent was obtained from all patients enrolled in the study by trained psychiatrists before all study procedures.

Participants

In the present study, we enrolled consecutive adult inpatients (18 years and older) with non-psychotic mental disorders and SI. All the patients were screened for self-injurious thoughts and behaviors prior to admission as part of the Center's routine admission protocol. The exclusion criteria were past/present psychotic disorders with delirium, organic disorders, schizophrenia, and delusional disorders; severe neurological and somatic disorders; ongoing substance use disorder; and cognitive deficit below the level of understanding of the investigator’s questions and the items of the self-report instruments. All participants were assessed by an experienced psychiatrist, who provided an ICD-10 mental disorder diagnosis. Assessment of ED history was based on a direct clinical interview according to ICD-10 criteria.

Those who met the criteria for lifetime anorexia nervosa (AN), bulimia nervosa (BN), or both, were included in the ED group, similar to the Micali et al. (2016) study [17]. We limited the age of participants to 45 years to reduce potential recall bias and the effect of menopause on participants’ current status. All patients meeting criteria for ongoing ED were also excluded, so only those in remission or recovery from ED were included in the final analysis. To achieve the aim of the study, we compared parameters between patients who had experienced ED in the past (ED+) and those who had not (ED-).

Measures

The relevant sections of the Self-Injurious Thoughts and Behaviors Interview (SITBI) were used to assess SI, SA, and nonsuicidal self-injurious (NSSI) behavior. The SITBI is a structured interview that assesses the presence, frequency, and characteristics of suicidal and NSSI thoughts and behavior [18]. The Russian-language version was developed using the standard forward-backward translation procedure. The final version of the tool has already been used successfully in both clinical and research settings [19, 20].

Demographic and clinical variables were recorded on an ad hoc case record form. All participants underwent the SITBI and completed the Russian versions of the Beck Depression Inventory (BDI), the State-Trait Anxiety Inventory (STAI), and the Brief Reasons for Living Inventory (bRFL).

The last of the above tools has been developed to assess suicide resilience factors. The bRFL is a self-report instrument that assesses such suicide-resilience factors as survival and coping beliefs, responsibility to family, child-related concerns, fear of suicide, fear of social disapproval, and moral objections [21, 22]. The psychometric properties of the Russian language version of the bRFL [23] were similar to those of the original English [24] and German language [25] versions of the inventory. To date, no work has been done to normalize its scores.

The BDI was used to measure the level of depression in the study participants [26]. The BDI is a self-report, 21-item, multiple-choice inventory with a total score ranging from 20 to 80 (higher scores indicate deeper levels of depression). Cut-off scores for the BDI are as follows: 0–9 for minimal depression, 10–18 for mild depression, 19–29 for moderate depression, and 30–63 for severe depression. The Russian version of the BDI has shown good psychometric properties and is widely used in clinical and research settings [27].

The STAI was used to measure anxiety levels. The STAI is a self-report measure consisting of 40 items, with 20 items each in the State Anxiety (STAI-S) and Trait Anxiety (STAI-T) subscales [28]. Items are answered on a 4-point Likert scale ranging from 1 (not at all) to 4 (very much), and the total score ranges from 20 to 80, with higher scores indicating greater severity of anxiety symptoms. A cut-off score of 40 is commonly used to define likely clinical levels of anxiety. The Russian version was validated by Khanin (1983) and has shown good psychometric properties [29].

Statistical analysis

Categorical variables are presented as frequencies (%) and continuous variables as means (standard deviation (SD)). The Student’s t-test was used to compare quantitative variables and the Pearson’s chi-squared test for categorical variables. The Benjamini-Hochberg correction was used to correct for multiple comparisons of mental disorder diagnoses in this analysis [30, 31]. All statistical tests were performed at a two-tailed significance level of p <0.05. Data analysis was performed using Jamovi software v1.6.2.

RESULTS

Sample characteristics

A total of 892 patients with NPMD and SI were included in the study. The mean age was 25.72 (7.42; 18–45) years. Seven hundred and forty-eight (84%) patients were female. However, 58 (6.5%) of them had an alternative gender identity (the majority of which were non-binary gender identities).

Most patients were diagnosed with mood disorders (unipolar depressive disorder — 267 (29.9%); bipolar disorder — 201 (22.5%) and personality disorders (218 (24.4%)). Sixty-six patients (7.4%) had more than one psychiatric diagnosis. The mean age at first contact with mental health services was 22.49 (6.96) years.

We assessed participants only for lifetime fulfillment of the criteria for anorexia or bulimia, but not for other EDs. A lifetime history of ED was established in 305 (34.2%) patients. Sixty-nine (7.7%) patients had anorexia; 110 (12.3%) — bulimia; and 126 (14.1%) — “mixed” type (at different stages of life, meeting the criteria for both disorders). The mean age of onset of ED was 16.80 (5.10) years.

The clinical and demographic variables of the sample are presented in Table 1.

 

Table 1. Demographic and clinical characteristics of the total sample, cases, and controls

Variable

Level

ED+ (n=305)

ED-

(n=587)

Total (n=892)

Statistical test

Age, mean (SD)a

 

23.49 (5.74)

26.89 (7.66)

25.72 (7.24)

t=-6.81b, p <0.001

Sex assigned at birth, n (%)b

Male

10 (3.3%)

132 (22.5%)

142 (16.0%)

χ2=56.86, df=1, p <0.001

Female

293 (96.7%)

455 (77.5%)

748 (84.0%)

Gender identity, n (%)b

Cisgender

275 (90.2%)

559 (95.2%)

834 (93.5%)

χ2=8.47, df=1a, p=0.004

Alternative gender identity

30 (9.8%)

28 (4.8%)

58 (6.5%)

Level of education, n (%)b

Elementary/Middle school

15 (4.9%)

25 (4.9%)

40 (4.5%)

χ2=14.55, df=4, p=0.006

High school

55 (18.0%)

84 (14.3%)

139 (15.6%)

Vocational education

42 (13.8%)

84 (14.3%)

126 (14.1%)

Incomplete higher education

114 (37.4%)

172 (29.3%)

286 (32.1%)

Completed higher education

79 (25.9%)

222 (37.8%)

301 (33.7%)

Employment, n (%)b

Employed

110 (36.1%)

237 (40.4%)

347 (38.9%)

χ2=8.64, df=3, p=0.034

Student

100 (32.1%)

156 (26.6%)

256 (28.7%)

Retired

4 (1.3%)

24 (4.1%)

28 (3.1%)

Unemployed

91 (29.8%)

170 (29.1%)

261 (29.3%)

Marital status, n (%)b

Single

159 (52.1%)

312 (53.2%)

471 (52.8%)

χ2=0.19, df=2, p=0.911

Married

89 (29.2%)

172 (29.3%)

261 (29.3%)

Other type of relationship

57 (18.7%)

103 (17.5%)

160 (17.9%)

Same sex experience

118 (38.7%)

146 (24.9%)

264 (29.6%)

Age at first contact with mental health services (in years), mean (SD)a

 

20.60 (5.42)

23.47 (7.45)

22.49 (6.96)

t=-5.97, p <0.001

Mental disorders diagnosis, n (%)b

Schizotypal disorder

43 (14.1%)

57 (9.7%)

100 (11.2%)

χ2=3.88, df=1, p=0.049

Bipolar disorder

93 (30.5%)

108 (18.4%)

201 (22.5%)

χ2=16.82, df=1, p <0.001

Depressive disorder

82 (26.9%)

185 (31.5%)

267 (29.9%)

χ2=2.05, df=1, p=0.152

Anxiety disorders

19 (6.2%)

116 (19.8%)

135 (15.1%)

χ2=28.62, df=1, p <0.001

Obsessive-compulsive disorder

2 (0.7%)

12 (2.0%)

14 (1.6%)

χ2=2.50, df=1, p=0.113

Personality disorders

79 (28.9%)

139 (23.7%)

218 (24.4%)

χ2=0.54, df=1, p=0.464

Multiple psychiatric diagnoses, n (%)b

Yes

34 (11.1%)

32 (5.5%)

66 (7.4%)

χ2=9.50, df=1, p=0.002

BDI score, mean (SD)a

 

32.03 (10.09)

29.32 (9.84)

30.27 (10.01)

t=3.56, p <0.001

STAI-S score, mean (SD)a

 

62.59 (9.71)

61.03 (10.39)

61.57 (10.18)

t=1.99, p=0.047

STAI-T score, mean (SD)a

 

62.64 (9.35)

61.63 (10.21)

61.98 (9.93)

t=1.33, p=0.185

Physical violence history, n (%)b

Yes

206 (67.5%)

313 (53.3%)

519 (58.2%)

χ2=16.68, df=1, p <0.001

Domestic violence witnessing, n (%)b

Yes

143 (46.9%)

216 (36.8%)

359 (40.2%)

χ2=8.49, df=1, p=0.004

School bullying, n (%)

Yes

215 (70.5%)

391 (66.6%)

606 (67.9%)

χ2=1.39, df=1, p=0.239

Sexual abuse history, n (%)b

Yes

114 (37.4%)

142 (24.2%)

256 (28.7%)

χ2=17.05, df=1, p <0.001

Lifetime drug use experience, n (%)b

Yes

157 (51.5%)

262 (44.6%)

419 (47.0%)

χ2=3.77, df=1, p=0.052

Body Piercing, n (%)b

Yes

134 (43.9%)

156 (26.6%)

290 (32.5%)

χ2=27.56, df=1, p <0.001

Tattoos, n (%)b

Yes

162 (53.1%)

198 (33.7%)

360 (40.4%)

χ2=31.33, df=1, p <0.001

Severe body modifications, n (%)b

Yes

36 (11.8%)

29 (4.9%)

65 (7.3%)

χ2=3.88, df=1, p <0.001

Lifetime SA, n (%)b

Yes

159 (52.1%)

208 (35.4%)

367 (41.1%)

χ2=23.11, df=1, p <0.001

Lifetime NSSI, n (%)b

Yes

262 (85.9%)

361 (61.5%)

623 (69.8%)

χ2=56.75, df=1, p <0.001

Note: a Student’s t-test, b Chi-squared test; # — significant after Benjamini-Hochberg correction; SA=suicide attempt; NSSI=nonsuicidal self-injury; ED=eating disorders; STAI-S=State anxiety; STAI-T=Trait anxiety; BDI=Beck’s depression inventory.

 

Factors associated with EDs

Compared with the controls, patients with EDs were significantly younger (23.49 (5.74) vs. 26.89 (7.66), p <0.001), had been assigned a female sex at birth (293 (96.7%) vs. 455 (77.5%), p <0.001), and had an alternative gender identity (30 (9.8%) vs. 28 (4.8%), p=0.004). As shown in Table 1, significantly more patients with ED had incomplete higher education and were students (0.05). There were no differences in marital status between the groups.

Patients with ED had their first contact with mental health services at a significantly younger age (20.60 (5.42) vs. 23.47 (7.45), p <0.001). Bipolar disorder was significantly more common in the ED group (93 (30.5%) vs. 108 (18.4%), p <0.001), while anxiety disorders were more common in the control group (19 (6.2%) vs. 116 (19.8%), p <0.001). There were no differences in the prevalence of other mental disorder diagnoses between the groups. Patients with ED were more likely to have more than one additional mental disorder diagnosis (34 (11.1%) vs. 32 (5.5%), p=0.002).

Patients with ED had significantly higher scores on the BDI (32.03 (10.09) vs. 29.32 (9.84), p <0.001, Cohen’s d=0.272, indicating a moderate difference between the two groups) and the STAI-S (62.59 (9.71) vs. 61.03 (10.39), p=0.047, Cohen’s d=0.155, indicating a small effect size). However, the groups did not differ on the STAI-T scores.

Participants with ED were more likely to have been exposed to physical (206 (67.5%) vs. 313 (53.3%), p <0.001) and sexual (114 (37.4%) vs. 142 (24.2%), p <0.001) abuse and to have witnessed domestic violence (143 (46.9%) vs. 216 (36.8%), p=0.004). Same-sex experience was more common in the ED group (118 (38.7%) vs. 146 (24.9%), p <0.001). Significantly more patients with ED had piercings (134 (43.9%) vs. 156 (26.6%), p <0.001), tattoos (162 (53.1%) vs. 198 (33.7%), p <0.001), tattoos covering scars (39 (13.8%) vs. 32 (5.5%), p <0.001), and severe body modifications (36 (11.8%) vs. 29 (4.9%), p <0.001).

Significantly more patients with ED had a lifetime history of SA (159 (52.1%) vs. 208 (35.4%); p <0.001) and NSSI (262 (85.9%) vs. 361 (61.5%); p <0.001).

As shown in Table 2, patients with ED had significantly lower scores on the bRFL subscales such as survival and coping beliefs (4.00 (1.51) vs 4.22 (1.42), p=0.032), responsibility to family (3.65 (1.55) vs 4.02 (1.62), p=0.001), child-related concerns, and moral objection (1.85 (1.31) vs 2.44 (1.64), p <0.001). Total bRFL mean scores were also significantly lower in the main group (2.87 (0.93) vs 3.25 (1.14), p <0.001). There were no differences between the groups on factors such as fear of suicide and fear of social disapproval.

 

Table 2. Brief Reasons for Living Inventory scores

 

Mean (SD)

Student’s t-test

(df=890)

Cohen’s d

ED+

(n=305)

ED-

(n=587)

Survival and coping beliefsa

4.00 (1.51)

4.22 (1.42)

t=-2.14, p=0.032

0.150b

Responsibility to familya

3.65 (1.55)

4.02 (1.62)

t=-3.24, p=0.001

0.233b

Child-related concernsa

2.84 (1.83)

3.53 (1.99)

t=-5.00, p <0.001

0.356c

Fear of suicidea

3.35 (1.56)

3.53 (1.71)

t=-1.63, p=0.103

0.108b

Fear of social disapprovala

2.43 (1.56)

2.65 (1.66)

t=-1.88, p=0.060

0.135b

Moral objectiona

1.85 (1.31)

2.44 (1.64)

t=-5.30, p <0.001

0.384c

Total mean

2.87 (0.93)

3.25 (1.14)

t=-4.88, p <0.001

0.354c

Note: a Absolute range — 1–6; ED=eating disorders; b small effect size; c medium effect size.

 

DISCUSSION

The age of the sample was limited to 45 years in order to reduce the effect of menopause on the current status of participants and to minimize potential recall bias. The age of the participants in our study was relatively low (25.7 years), which is in line with previous studies reporting an earlier onset of various mental disorders in people with ED [32]. The age characteristics of the sample may also partly explain the higher than expected prevalence of NSSI and nonfatal SA among the participants.

The majority of patients in our sample were female, which is consistent with the literature on the higher prevalence of anxiety, depression [33, 34], SI, and non-lethal SA [35] in women, and the greater number of women among those seeking psychiatric help [36].

The significant number of people with incomplete and completed higher education in our sample is due to the specifics of the Russian population and is consistent with data from the Organization for Economic Cooperation and Development (OECD) on the high percentage of people with higher education among citizens of the Russian Federation aged 25–64. According to this indicator, the Russian Federation ranks second out of 35 OECD member countries [37].

When comparing the groups of patients with and without a lifetime diagnosis of ED, a significant number of differences in clinical and socio-demographic parameters were found. In the group of persons with ED, there was a significantly higher proportion of people who were assigned female at birth, which is consistent with the higher prevalence of ED in women [38]. There was also a significant difference in gender: those with ED were more likely to have an alternative gender identity, identifying as bigender, gender-fluid, or agender. All participants with an alternative gender identity were assigned female at birth. The association found between alternative gender identity and ED is consistent with the results of previous studies. In a study of 289,000 US college students, transgender people were 4.6 times more likely than cisgender women to self-report an ED in the preceding year [39]. Another study reported that non-binary individuals were three times more likely to self-report a history of AN or BN than transgender men and women [40]. Lifetime same-sex experience was also more common among patients with ED, which is also consistent with the literature on a higher prevalence of ED among bisexual and homosexual individuals [41].

Patients with ED were significantly younger, which explains the greater number of people with incomplete higher education and student status in this group. The usual age of onset for many EDs is between 14 and 19 years [42], and sometimes even earlier [43], which is lower than for other non-psychotic disorders [44]. This may explain the younger age of first contact with mental health services in people with ED.

The high comorbidity between ED and other psychiatric disorders has been widely reported. The lifetime prevalence of at least one DSM-IV comorbidity varies from 45% to 97%, depending on the source [45, 46]. This is confirmed by the significant number of people with ED (34.2%) in our consecutively recruited sample of patients with NPMD and SI. The study groups differed in the frequency of diagnoses of BD (more common in patients with ED) and anxiety disorders (more common in the group without ED). This is consistent with the meta-analysis by Fornaro et al. (2020), which found an association between EDs and BD. Thus, BN occurred in 7.4% (95%CI=6–10%) of individuals with BD, while 6.7% (95%CI=12–29.2%) of individuals with BN had a diagnosis of BD. AN occurred in 3.8% (95%CI=2–6%) of individuals with BD; 2% (95%CI=1–2%) of individuals with BD had a diagnosis of AN [47]. It is noteworthy that despite the lower frequency of anxiety disorder diagnoses in the ED group, the severity of state anxiety was actually higher in this group. ED was also associated with higher depression scores on the BDI. In addition, participants in the ED group were more likely to have more than one psychiatric diagnosis, again reflecting the greater severity of psychiatric disorders in this group.

The present study uncovered a high prevalence of traumatic experiences (childhood physical abuse and witnessing domestic violence) among patients with ED. Similar data have been reported in other studies [48]. The prevalence of adverse childhood experiences in our study is higher than previously reported [49], which may be explained by the fact that these adversities predict not only ED, but also suicidality (inclusion criteria of our study).

A higher number of patients exposed to sexual trauma among participants with ED is also consistent with the literature data showing that sexual trauma precedes and contributes to the development of ED: particularly bulimia [50].

Tattoos, piercings, and body modifications have been found to be more common in patients with ED in several studies, including studies of ED without comorbid psychiatric disorders [51]. Previous studies have found these variables to be more prevalent in young people and in those with indirect and direct self-injurious behaviors [52] — variables that are prevalent in our study population.

In our study, the prevalence of NSSI was high in both groups, which could be explained by the higher prevalence of NSSI in people with SI. We found that an ED in patients with SI was associated with involvement in NSSI practices. On the one hand, the higher prevalence of NSSI could be explained by the younger age of the participants and the predominance of women in the ED group [53]. On the other hand, a meta-analysis by Cucchi et al. (2016) reported odds ratios for NSSI according to the ED subtype (ranging from 20 to 32.7%) [54] and a bidirectional relationship between NSSI and ED was proposed [55]. A recent study in the Russian Federation [52] found that the prevalence of ED in psychiatric inpatients with NSSI and SI stood at 51%, and that the odds ratio for having NSSI in participants with both SI and ED was 4.9. The exclusion of people aged 45 years and over in our study may explain the difference in the prevalence of NSSI between this study and ours.

Suicide is one of the leading causes of excess mortality in patients with ED, according to recent studies [56]. Previous studies have examined the relationship between SA and ED [57], but there is still no consensus as to whether there is a difference in the degree of risk of SA depending on the subtype of ED: some authors have suggested that there is no difference between subtypes of ED [58], while others have reported a significant increase in risk in patients with AN [59]. However, the existence of an association between the presence of an ED and the risk of SA has been confirmed in a large number of studies, including this one [60, 61]. At the same time, our findings should be interpreted with caution, as many of the factors associated with lifetime ED diagnoses have previously been identified as risk factors for SA. For example, a recent study from Moscow found a strong association between NSSI and suicidality in people with epilepsy [62]. Further research is needed to identify the possible common biological and psychological underpinnings of these often co-occurring factors [63, 64].

According to the ideation to action research framework, the transition from suicidal ideation to suicide attempt may have to do with the tension between the pro-suicidal drive and resilience factors. To test whether the patients who had shown a proclivity to develop ED during their lifetime also had lower resistance to suicide, we measured the number of beliefs that could potentially be important as reasons not to commit suicide in both groups. We did not find any studies that used the Reasons for Living Inventory in people with ED prior to our study. We found that participants with ED had a lower total score on the bRFL, as well as lower scores on several suicide-resilience factors such as “survival and coping beliefs”, “responsibility to family”, “child-related concerns”, and “moral objections”.

We believe that many of the characteristics we have identified in patients with ED are similar to those previously reported in patients with BPD. At the same time, no difference was found between the groups in terms of personality disorder diagnosis after Benjamini-Hochberg correction. The fact that borderline BPD is often underdiagnosed in people with other psychiatric conditions [65] may explain this discrepancy. In our study the diagnosis of mental disorder was based on expert opinion. Further studies using a diagnosis based on the results of structured psychiatric interviews are needed to assess whether BPD is more common in non-psychotic patients with SI and lifetime ED.

Strengths and limitations of the study

Our study has both strengths and limitations. We used consecutive sampling to avoid selection bias. To the best of our knowledge, our study is the first attempt to assess reasons for living in patients with ED and SI, the group at high risk of suicide.

Age differed significantly between the groups in our study. This may be a limitation of the study if we consider it as a simple covariate. However, it is possible that age simply reflects generational differences between people who grew up in different environments. Long-term prospective cohort studies are needed to answer the question of whether parameters such as ED and NSSI decrease with age or whether they remain stable in intrinsic value across generations.

The main shortcoming of our study is that EDs were diagnosed retrospectively. Many of the participants recovered from an ED in early adulthood; so, recall bias can’t be completely ruled out. Another limitation is our approach to psychiatric diagnosis, which was based on expert opinion, only. The potential impact of this on the frequency of personality disorder diagnoses has been discussed above. Patients with psychotic disorders and those older than 45 years were not included in our study, so our results should not be extrapolated to these populations.

CONCLUSION

Lifetime ED in NPMD patients with SI is associated with younger age, being assigned female at birth, having an alternative gender identity, having had a same-sex experience, having more than one psychiatric diagnosis, having a diagnosis of bipolar disorder, experiencing more severe depression and anxiety, having been exposed to multiple traumatic experiences, having various body modifications, practicing NSSI, and having a lifetime history of SA. Patients with ED are vulnerable to the development of suicidal behavior because of their low resilience to the transition from SI to SA.

Authors’ contribution: All authors made substantial contributions to the article and reviewed and approved the final version before publication. George Kustov, Ilya Mishin, Mikhail Zinchuk, Renat Akzhigitov — writing original draft; Mikhail Zinchuk — conceptualization, methodology; Renat Akzhigitov — supervision; Alexander Yakovlev — formal analysis; Sofya Popova, Nadezhda Voinova — investigation.

Funding: This work was supported by the Moscow Center for Innovations in Health Care [Grant No. 2412-36/22].

Conflict of interest: The authors declare no conflicts of interest.

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About the authors

George V. Kustov

Moscow Research and Clinical Center for Neuropsychiatry of Moscow Healthcare Department

Email: gkustov84@yandex.ru
ORCID iD: 0000-0001-7755-1175

Researcher, Crisis Suicidology Department, Moscow Research and Clinical Center for Neuropsychiatry of Moscow Healthcare Department

Россия, Moscow

Mikhail S. Zinchuk

Moscow Research and Clinical Center for Neuropsychiatry of Moscow Healthcare Department

Author for correspondence.
Email: mzinchuk@mail.ru
ORCID iD: 0000-0002-2538-3314

Cand. Sci. (Med.), Head of Crisis Suicidology Department, Moscow Research and Clinical Center for Neuropsychiatry of Moscow Healthcare Department

Россия, Moscow

Sofya B. Popova

Moscow Research and Clinical Center for Neuropsychiatry of Moscow Healthcare Department

Email: mzinchuk@mail.ru
ORCID iD: 0000-0002-4573-7247

Junior Researcher, Department of Epidemiology, Prevention and Organization of Care for Borderline Mental Disorders, Moscow Research and Clinical Center for Neuropsychiatry of Moscow Healthcare Department

Россия, Moscow

Ilya N. Mishin

Moscow Research and Clinical Center for Neuropsychiatry of Moscow Healthcare Department

Email: mzinchuk@mail.ru
ORCID iD: 0000-0001-8129-9312

Junior Researcher, Department of the Study of Cognitive Impairment, Moscow Research and Clinical Center for Neuropsychiatry of Moscow Healthcare Department

Россия, Moscow

Nadezhda I. Voinova

Moscow Research and Clinical Center for Neuropsychiatry of Moscow Healthcare Department

Email: mzinchuk@mail.ru
ORCID iD: 0000-0001-6636-2133

Junior Researcher, Crisis Suicidology Department, Moscow Research and Clinical Center for Neuropsychiatry of Moscow Healthcare Department

Россия, Moscow

Alexander A. Yakovlev

Moscow Research and Clinical Center for Neuropsychiatry of Moscow Healthcare Department; Department of Functional Biochemistry of Nervous System, Institute of Higher Nervous Activity and Neurophysiology, Russian Academy of Sciences

Email: mzinchuk@mail.ru
ORCID iD: 0000-0003-2546-5130

Dr. Sci. (Biolog.), Leading Researcher, Department of Epidemiology, Prevention and Organization of Care for Borderline Mental Disorders, Moscow Research and Clinical Center for Neuropsychiatry of Moscow Healthcare Department

Россия, Moscow; Moscow

Renat G. Akzhigitov

Moscow Research and Clinical Center for Neuropsychiatry of Moscow Healthcare Department

Email: mzinchuk@mail.ru
ORCID iD: 0000-0001-7777-2920

Cand. Sci. (Med.), Scientific secretary, Deputy Director for Research, Moscow Research and Clinical Center for Neuropsychiatry of Moscow Healthcare Department

Россия, Moscow

References

  1. Chaudhury S, Rani DP, Murthy PS, Diwan C, Patil AA, Jagtap B. Quality of life in psychiatric disorders. Trends in Biomedical Research. 2018. doi: 10.15761/JTBR.1000103.
  2. Walker ER, McGee RE, Druss BG. Mortality in mental disorders and global disease burden implications: a systematic review and meta-analysis. JAMA Psychiatry. 2015;72(4):334-41. doi: 10.1001/jamapsychiatry.2014.2502. Erratum in: JAMA Psychiatry. 2015;72(7):736. Erratum in: JAMA Psychiatry. 2015;72(12):1259.
  3. Nock MK, Borges G, Bromet EJ, Cha CB, Kessler RC, Lee S. Suicide and suicidal behavior. Epidemiologic Review. 2008;30(1):133-54. doi: 10.1093/epirev/mxn002.
  4. Cavanagh JT, Carson AJ, Sharpe M, Lawrie SM. Psychological autopsy studies of suicide: a systematic review. Psychological Medicine. 2003;33(3):395-405. doi: 10.1017/s0033291702006943. Erratum in: Psychol Med. 2003 Jul;33(5):947.
  5. Wiebenga JXM, Dickhoff J, Mérelle SYM, Eikelenboom M, Heering HD, Gilissen R, van Oppen P, Penninx BWJH. Prevalence, course, and determinants of suicide ideation and attempts in patients with a depressive and/or anxiety disorder: a review of NESDA findings. The Journal of Affective Disorders. 2021;283:267-277. doi: 10.1016/j.jad.2021.01.053.
  6. Paris J. Suicidality in borderline personality disorder. Medicina. 2019;55(6):223. https://doi.org/10.3390/medicina55060223).
  7. Zalsman G, Hawton K, Wasserman D, van Heeringen K, Arensman E, Sarchiapone M, Carli V, Höschl C, Barzilay R, Balazs J, Purebl G, Kahn JP, Sáiz PA, Lipsicas CB, Bobes J, Cozman D, Hegerl U, Zohar J. Suicide prevention strategies revisited: 10-year systematic review. Lancet Psychiatry. 2016;3(7):646-59. doi: 10.1016/S2215-0366(16)30030-X.
  8. De Beurs D, ten Have M, Cuijpers P, de Graaf R. The longitudinal association between lifetime mental disorders and first onset or recurrent suicide ideation. BMC Psychiatry. 2019;19:345. https://doi.org/10.1186/S12888-019-2328-8.
  9. Shan JC, Chen IM, Lin PH, Chen WJ, Liao SC, Lee MB, Kuo PH. Associations between lifetime mental disorders and suicidal behaviors: findings from the Taiwan psychiatry morbidity survey. Social Psychiatry and Psychiatric Epidemiology. 2022;57(8):1579-1589. doi: 10.1007/s00127-022-02236-8.
  10. Galmiche M, Déchelotte P, Lambert G, Tavolacci MP. Prevalence of eating disorders over the 2000-2018 period: a systematic literature review. The American Journal of Clinical Nutrition. 2019;109(5):1402-1413. doi: 10.1093/ajcn/nqy342.
  11. Fichter MM, Quadflieg N, Crosby RD, Koch S. Long-term outcome of anorexia nervosa: results from a large clinical longitudinal study. International Journal of Eating Disorders. 2017;50(9):1018-1030. doi: 10.1002/eat.22736.
  12. Udo T, Bitley S, Grilo CM. Suicide attempts in US adults with lifetime DSM-5 eating disorders. BMC Medicine. 2019;17(1):120. doi: 10.1186/s12916-019-1352-3.
  13. GBD 2019 Mental Disorders Collaborators. Global, regional, and national burden of 12 mental disorders in 204 countries and territories, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet Psychiatry. 2022;9(2):137-150. doi: 10.1016/S2215-0366(21)00395-3.
  14. Arcelus J, Mitchell AJ, Wales J, Nielsen S. Mortality rates in patients with anorexia nervosa and other eating disorders. A meta-analysis of 36 studies. Archives of General Psychiatry. 2011;68(7):724-31. doi: 10.1001/archgenpsychiatry.2011.74.
  15. Zerwas S, Larsen JT, Petersen L, Thornton LM, Mortensen PB, Bulik CM. The incidence of eating disorders in a Danish register study: associations with suicide risk and mortality. Journal of Psychiatric Research. 2015;65:16-22. doi: 10.1016/j.jpsychires.2015.03.003.
  16. Yao S, Kuja-Halkola R, Thornton LM, Runfola CD, D’Onofrio BM, Almqvist C, Lichtenstein P, Sjölander A, Larsson H, Bulik CM. Familial liability for eating disorders and suicide attempts: evidence from a population registry in Sweden. JAMA Psychiatry. 2016;73(3):284-91. doi: 10.1001/jamapsychiatry.2015.2737.
  17. Micali N, Stemann Larsen P, Strandberg-Larsen K, Nybo Andersen AM. Size at birth and preterm birth in women with lifetime eating disorders: a prospective population-based study. BJOG. 2016;123(8):1301-10. doi: 10.1111/1471-0528.13825.
  18. Nock MK, Holmberg EB, Photos VI, Michel BD. Self-Injurious thoughts and behaviors interview: development, reliability, and validity in an adolescent sample. Psychological Assessment. 2007;19(3):309-17. doi: 10.1037/1040-3590.19.3.309.
  19. Zinchuk M, Beghi M, Beghi E, Bianchi E, Avedisova A, Yakovlev A, Guekht A. Non-suicidal self-injury in Russian patients with suicidal ideation. Archives of Suicide Research. 2022;26(2):776-800. doi: 10.1080/13811118.2020.1833801.
  20. Zinchuk M, Kustov G, Beghi M, Voinova N, Pashnin E, Beghi E, Avedisova A, Guekht A. Factors associated with non-binary gender identity in psychiatric inpatients with suicidal ideation assigned female at birth: a case-control study. Archives of Sexual Behavior. 2022;51(7):3601-3612. doi: 10.1007/s10508-022-02424-2.
  21. Linehan MM, Goodstein JL, Nielsen SL, Chiles JA. Reasons for staying alive when you are thinking of killing yourself: the reasons for living inventory. Journal of Consulting and Clinical Psychology. 1983;51(2):276-86. doi: 10.1037//0022-006x.51.2.276.
  22. Pashnin EV, Zinchuk MS, Gersamia AG, Voinova NI, Yakovlev AA, Avedisova AS. et al. Verification of the structure of the brief “Reasons for Life Inventory” in a clinical sample. Psychological Journal. 2022;43:109–21. doi: 10.31857/S020595920017745-5. Russian.
  23. Kustov GV, Zinchuk MS, Gersamija AG, Voinova NI, Yakovlev AA, Avedisova AS. et al. Psychometric properties of the Russian version of the brief “Reasons for Living Inventory”. The Korsakov’s Journal of Neurology and Psychiatry. 2021;121(10):87–94. doi: 10.17116/JNEVRO202112110187. Russian.
  24. Linehan MM, Goodstein JL, Nielsen SL, Chiles JA. Reasons for staying alive when you are thinking of killing yourself: the reasons for living inventory. Journal of Consulting and Clinical Psychology. 1983;51(2):276-86. doi: 10.1037//0022-006x.51.2.276.
  25. Cwik JC, Siegmann P, Willutzki U, Nyhuis P, Wolter M, Forkmann T, Glaesmer H, Teismann T. Brief reasons for living inventory: a psychometric investigation. BMC Psychiatry. 2017;17(1):358. doi: 10.1186/s12888-017-1521-x.
  26. Beck AT, Ward CH, Mendelson M, Mock J, Erbaugh J. An inventory for measuring depression. Archives of General Psychiatry. 1961;4:561-71. doi: 10.1001/archpsyc.1961.01710120031004.
  27. Tarabrina NV. Workshop on post-traumatic stress psychology. St. Petersburg: Peter; 2001. p. 272. Russian.
  28. Spielberger CD, Gorsuch RL, Lushene RE. Manual for the State-Trait Anxiety Inventory. Palo Alto, CA: Consulting Psychologists Press; 1970.
  29. Khanina JL. A quick guide to using the Reactive and Personality Anxiety Test Ch.D. Spilberga. 1983. Russian.
  30. Benjamini Y, Hochberg Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. Journal of the Royal Statistical Society, Series B: methodological. 1995;57:289–300. doi: 10.2307/2346101.
  31. Volpe U, Tortorella A, Manchia M, Monteleone AM, Albert U, Monteleone P. Eating disorders: what age at onset? Psychiatry Research. 2016;238:225-227. doi: 10.1016/j.psychres.2016.02.048.
  32. Seedat S, Scott KM, Angermeyer MC, Berglund P, Bromet EJ, Brugha TS, Demyttenaere K, de Girolamo G, Haro JM, Jin R, Karam EG, Kovess-Masfety V, Levinson D, Medina Mora ME, Ono Y, Ormel J, Pennell BE, Posada-Villa J, Sampson NA, Williams D, Kessler RC. Cross-national associations between gender and mental disorders in the World Health Organization World Mental Health Surveys. Archives of General Psychiatry. 2009;66(7):785-95. doi: 10.1001/archgenpsychiatry.2009.36.
  33. Viana MC, Andrade LH. Lifetime Prevalence, age and gender distribution and age-of-onset of psychiatric disorders in the São Paulo Metropolitan Area, Brazil: results from the São Paulo Megacity Mental Health Survey. Brazilian Journal of Psychiatry. 2012;34(3):249-60. doi: 10.1016/j.rbp.2012.03.001.
  34. Canetto SS. Women and suicidal behavior: a cultural analysis. American Journal of Orthopsychiatry. 2008;78(2):259-66. doi: 10.1037/a0013973.
  35. Gough B, Novikova I. Summary Report No. 70 of the Health Evidence Network. Mental health, men and cultural traditions: how sociocultural constructs associated with manifestations of masculinity affect men’s access to psychiatric care in the WHO European Region. Copenhagen: Regional Office for Europe WHO; 2020. Russian.
  36. Education at a Glance 2016: OECD Indicators. Russian Federation. Paris: OECD Publishing; 2016. doi.org/10.1787/eag-2016-76-en.
  37. Halbeisen G, Braks K, Huber TJ, Paslakis G. Gender differences in treatment outcomes for eating disorders: a case-matched, retrospective pre-post comparison. Nutrients. 2022;14(11):2240. doi: 10.3390/nu14112240.
  38. Diemer EW, Grant JD, Munn-Chernoff MA, Patterson DA, Duncan AE. Gender identity, sexual orientation, and eating-related pathology in a national sample of college students. Journal of Adolescent Health. 2015;57(2):144-9. doi: 10.1016/j.jadohealth.2015.03.003.
  39. Diemer EW, White Hughto JM, Gordon AR, Guss C, Austin SB, Reisner SL. Beyond the binary: differences in eating disorder prevalence by gender identity in a transgender sample. Transgender Health. 2018;3(1):17-23. doi: 10.1089/trgh.2017.0043.
  40. Cao Z, Cini E, Pellegrini D, Fragkos KC. The association between sexual orientation and eating disorders-related eating behaviours in adolescents: a systematic review and meta-analysis. European Eating Disorders Review. 2023;31(1):46-64. doi: 10.1002/erv.2952.
  41. Herpertz-Dahlmann B. Adolescent eating disorders: update on definitions, symptomatology, epidemiology, and comorbidity. Child and Adolescent Psychiatric Clinics of North America. 2015;24(1):177-96. doi: 10.1016/j.chc.2014.08.003.
  42. Swanson SA, Crow SJ, Le Grange D, Swendsen J, Merikangas KR. Prevalence and correlates of eating disorders in adolescents. Results from the national comorbidity survey replication adolescent supplement. Archives of General Psychiatry. 2011;68(7):714-23. doi: 10.1001/archgenpsychiatry.2011.22.
  43. Solmi M, Radua J, Olivola M, Croce E, Soardo L, Salazar de Pablo G, Il Shin J, Kirkbride JB, Jones P, Kim JH, Kim JY, Carvalho AF, Seeman MV, Correll CU, Fusar-Poli P. Age at onset of mental disorders worldwide: large-scale meta-analysis of 192 epidemiological studies. Molecular Psychiatry. 2022;27(1):281-295. doi: 10.1038/s41380-021-01161-7.
  44. Blinder BJ, Cumella EJ, Sanathara VA. Psychiatric comorbidities of female inpatients with eating disorders. Psychosomatic Medicine. 2006;68(3):454-62. doi: 10.1097/01.psy.0000221254.77675.f5.
  45. Fornaro M, Daray FM, Hunter F, Anastasia A, Stubbs B, De Berardis D, Shin JI, Husain MI, Dragioti E, Fusar-Poli P, Solmi M, Berk M, Vieta E, Carvalho AF. The prevalence, odds and predictors of lifespan comorbid eating disorder among people with a primary diagnosis of bipolar disorders, and vice-versa: systematic review and meta-analysis. Journal of Affective Disorders. 2021;280(Pt A):409-431. doi: 10.1016/j.jad.2020.11.015.
  46. Solmi M, Radua J, Stubbs B, Ricca V, Moretti D, Busatta D, Carvalho AF, Dragioti E, Favaro A, Monteleone AM, Shin JI, Fusar-Poli P, Castellini G. Risk factors for eating disorders: an umbrella review of published meta-analyses. Brazilian Journal of Psychiatry. 2021;43(3):314-323. doi: 10.1590/1516-4446-2020-1099.
  47. Hazzard VM, Bauer KW, Mukherjee B, Miller AL, Sonneville KR. Associations between childhood maltreatment latent classes and eating disorder symptoms in a nationally representative sample of young adults in the United States. Child Abuse & Neglect. 2019;98:104171. doi: 10.1016/j.chiabu.2019.104171.
  48. Madowitz J, Matheson BE, Liang J. The relationship between eating disorders and sexual trauma. Eating and Weight Disorders. 2015;20(3):281-93. doi: 10.1007/s40519-015-0195-y.
  49. Preti A, Pinna C, Nocco S, Mulliri E, Pilia S, Petretto DR, Masala C. Body of evidence: tattoos, body piercing, and eating disorder symptoms among adolescents. Journal of Psychosomatic Research. 2006;61(4):561-6. doi: 10.1016/j.jpsychores.2006.07.002.
  50. Zinchuk M, Beghi M, Beghi E, Bianchi E, Avedisova A, Yakovlev A, Guekht A. Non-suicidal self-injury in Russian patients with suicidal ideation. Archives of Suicide Research. 2022;26(2):776-800. doi: 10.1080/13811118.2020.1833801.
  51. Volpe U, Tortorella A, Manchia M, Monteleone AM, Albert U, Monteleone P. Eating disorders: what age at onset? Psychiatry Research. 2016;238:225-227. doi: 10.1016/j.psychres.2016.02.048.
  52. Cucchi A, Ryan D, Konstantakopoulos G, Stroumpa S, Kaçar AŞ, Renshaw S, Landau S, Kravariti E. Lifetime prevalence of non-suicidal self-injury in patients with eating disorders: a systematic review and meta-analysis. Psychological Medicine. 2016;46(7):1345-58. doi: 10.1017/S0033291716000027.
  53. Kiekens G, Claes L. Non-Suicidal Self-Injury and Eating Disordered Behaviors: An update on what we do and do not know. Current Psychiatry Reports. 2020;22(12):68. doi: 10.1007/s11920-020-01191-y.
  54. Preti A, Rocchi MB, Sisti D, Camboni MV, Miotto P. A comprehensive meta-analysis of the risk of suicide in eating disorders. Acta Psychiatrica Scandinavica. 2011;124(1):6-17. doi: 10.1111/j.1600-0447.2010.01641.x.
  55. Milos G, Spindler A, Hepp U, Schnyder U. Suicide attempts and suicidal ideation: links with psychiatric comorbidity in eating disorder subjects. General Hospital Psychiatry. 2004;26(2):129-35. doi: 10.1016/j.genhosppsych.2003.10.005.
  56. Franko DL, Keel PK, Dorer DJ, Blais MA, Delinsky SS, Eddy KT, Charat V, Renn R, Herzog DB. What predicts suicide attempts in women with eating disorders? Psychological Medicine. 2004;34(5):843-53. doi: 10.1017/s0033291703001545.
  57. Cliffe C, Shetty H, Himmerich H, Schmidt U, Stewart R, Dutta R. Suicide attempts requiring hospitalization in patients with eating disorders: a retrospective cohort study. International Journal of Eating Disorders. 2020;53(5):458-465. doi: 10.1002/eat.23240.
  58. Favaro A, Santonastaso P. Suicidality in eating disorders: clinical and psychological correlates. Acta Psychiatrica Scandinavica. 1997;95(6):508-14. doi: 10.1111/j.1600-0447.1997.tb10139.x.
  59. Forcano L, Fernández-Aranda F, Alvarez-Moya E, Bulik C, Granero R, Gratacòs M, Jiménez-Murcia S, Krug I, Mercader JM, Riesco N, Saus E, Santamaría JJ, Estivill X. Suicide attempts in bulimia nervosa: personality and psychopathological correlates. European Psychiatry. 2009;24(2):91-7. doi: 10.1016/j.eurpsy.2008.10.002.
  60. Zinchuk M, Kustov G, Pashnin E, Rider F, Sviatskaya E, Popova S, Voinova N, Yakovlev A, Guekht A. Self-injurious thoughts and behaviors in Russian patients with epilepsy: a prospective observational study. Seizure. 2023;107:28-34. doi: 10.1016/j.seizure.2023.03.010.
  61. Zinchuk MS, Avedisova AS, Voinova NI, Kustov GV, Pashnin EV, Gulyaeva NV, Guekht AB. Pain perception and nonsuicidal self-injurious behavior. The Korsakov’s Journal of Neurology and Psychiatry. 2020;120(12):144-152. doi: 10.17116/jnevro2020120121144. Russian.
  62. Zinchuk MS, Guekht AB, Gulyaeva NV, Avedisova AS, Akzhigitov RG, Grishkina MN. Biological basis of suicidal behavior. The Korsakov’s Journal of Neurology and Psychiatry. 2016;116(8):94-101. doi: 10.17116/jnevro20161168194-101. Russian.
  63. Zinchuk MS, Avedisova AS, Guekht AB. Nonsuicidal self-injury behavior in non-psychotic disorders: epidemiology, social and clinical risk factors. The Korsakov’s Journal of Neurology and Psychiatry. 2019;119(3):108-119. doi: 10.17116/jnevro2019119031108. Russian.
  64. Zimmerman M, Balling C, Dalrymple K, Chelminski I. Screening for Borderline Personality Disorder in Psychiatric Outpatients With Major Depressive Disorder and Bipolar Disorder. The Journal of Clinical Psychiatry. 2019;80(1):18m12257. doi: 10.4088/JCP.18m12257.

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