Abstract
Background: Major depressive disorder (MDD) is associated with maladaptive self-reported
interoception, i.e., abnormal bodily self-experience. Although diminished body trusting
predicts suicidal ideation, interoceptive measures have not been considered in depressed
inpatients, whose suicide risk regularly peaks post-discharge. This study aims to explore
interoceptive characteristics at admission that help identify inpatients at risk for suicidal
ideation at discharge, thereby preventing fatal outcomes.
Methods
The observational study included 87 depressed inpatients providing self-ratings at
both hospital admission (T0) and discharge (T1) on the following scales: Multidimensional
Assessment of Interoceptive Awareness (MAIA-2); Beck Depression Inventory-II (BDI-II). A
hierarchical logistic regression analysis estimated the longitudinal association between self-
reported interoception (T0) and suicidal ideation (T1). The optimal cutpoints for predicting
suicidal ideation were calculated using ROC curve analysis.
Results
Suicidal ideation was found in 17.24% patients at discharge, who reported lower
baseline MAIA-2 Trusting scores than non-ideators ( p=0.01). Diminished body trusting
(OR=0.19), somatic comorbidity ( OR=16.77), and baseline suicidal ideation ( OR=24.01)
significantly predicted suicidal ideation (T1). For body trusting, we estimated an optimal
classification of subsequent suicidal ideation for the cutpoint≤2.33 (AUC=0.70 [95% CI 0.57,
0.83], sensitivity=0.87, specificity=0.44, positive predictive value=0.25, negative predictive
value=0.94).
Limitations
Due to the exploratory nature of the study, the findings should be replicated in
pre-registered trials with larger sample sizes.
Conclusions
Diminished body trusting is, with acceptable sensitivity, a significant predictor
for post-treatment suicidal ideation in depressed inpatients. This finding emphasizes the
importance of incorporating body-centered approaches into multimodal treatment strategies
especially in inpatients under risk to prevent suicidal incidents.
Keywords
major depressive disorder; interoception; body awareness; trusting; suicide;
suicidal ideation; outcome predictors.
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1. Background
Major depressive disorder (MDD) is a common mental disorder associated with a substantial
risk for suicide (Favril et al., 2023). Despite the rising numbers of antidepressant
prescriptions, there is mounting evidence of a concurrent rise in suicide rates (Amendola et
al., 2024). Antidepressants, particularly selective serotonin reuptake inhibitors (SSRIs), are
suspected of inducing ego-dystonic suicidal thoughts, urges, and suicidal behaviors, especially
shortly after initiation of treatment or following dose increases (Stübner et al., 2018).
Psychiatric inpatient treatment is a high-risk period for suicide, as hospitalization often occurs
when symptoms have reached a critical severity (Krause et al., 2020; Neuner et al., 2011).
Research indicates that suicide risk peaks in the months following discharge (Chung et al.,
2017; Forte et al., 2019; Goldacre et al., 1993; Ho, 2003; Park et al., 2013). However, reliable
predictors for identifying hospitalized patients at risk are limited and differ between
individuals only experiencing suicidal ideation and those with a history of suicide attempts
(Lewitzka et al., 2017). Suicidal ideation – defined as “thoughts, ideas, or ruminations about
the possibility of ending one's life, ranging from thinking that one would be better off dead to
formulation of elaborate plans” (WHO, 2024) – is a strong risk factor for suicidal mortality
(Favril et al., 2023). Therefore, it is crucial to identify hospitalized patients at risk for
persistent suicidal ideation early in their treatment. This calls for the exploration of new
predictors of post-treatment suicidal ideation from the outset of hospitalization. In this
context, abnormal body awareness may serve as a promising new predictor (Hielscher &
Zopf, 2021).
Interoception encompasses the sensation, interpretation, and integration of signals
“originating from within the body, providing a moment-by-moment mapping of the body’s
internal landscape across conscious and unconscious levels” (p. 501) (Khalsa et al., 2018).
These internal sensations, ranging from heartbeat and respiration to hunger and temperature,
primarily serve to maintain homeostatic and allostatic regulation (Tsakiris & Critchley, 2016).
The study of interoception has deep roots in phenomenology, physiology and neuroscience,
and profound implications for mental health have recently gained significant attention
(Cameron, 2001; Craig, 2002, 2009; Khalsa et al., 2018; Murphy et al., 2017; Tsakiris &
Critchley, 2016). A state of dysfunctional interoception is increasingly considered as a
fundamental component of MDD (Eggart, Lange, et al., 2019; Harshaw, 2015; Paulus &
Stein, 2010): First, patient’s objective ability to accurately monitor their interoceptive states,
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known as interoceptive accuracy (Garfinkel et al., 2015), seems to be compromised in MDD.
There is increasing evidence that affected subjects show diminished heartbeat perception
accuracy (Eggart, Lange, et al., 2019) and reduced activation of the insular cortex during
heartbeat perception tasks (Avery et al., 2014; Wiebking et al., 2010) – a state which
potentially contributes to blunted positive affect intensity and decision-making difficulties
(Furman et al., 2013). Second, the subjective attention to bodily sensations, known as
interoceptive sensibility or self-reported interoception (Garfinkel & Critchley, 2013; Mehling,
2016), is abnormal in MDD: Core characteristics of MDD encompass altered pain perception
(Thompson et al., 2016), increased somatic symptom burden (Kapfhammer, 2006), anxiety-
driven attention styles directed towards unpleasant bodily cues (Flasinski et al., 2020; Zhou et
al., 2024), emotion dysregulation linked with abnormal body awareness (Lyons, Strasser, et
al., 2021; Zhou et al., 2022), and reduced confidence in bodily sensations (Dunne et al.,
2021). From a phenomenological perspective, patient’s bodily feelings have been attributed to
a ‘corporealization’ of the lived body (Fuchs, 2005; Fuchs & Schlimme, 2009), which is
typified by sensations of constriction and oppression in the chest and abdomen, accompanied
by feelings of alienation, heaviness, blockage, emptiness, paralysis, and passivity in the whole
body (Lyons, Michaelsen, et al., 2021). These coenesthesias should not be solely construed as
matters of well-being, since abnormal self-reported interoception has been recognized as a
predictor for unfavorable treatment outcomes (Eggart et al., 2021; Eggart & Valdés-Stauber,
2021) and as a risk factor for residual symptoms of fatigue (Eggart et al., 2023a).
Recent studies have begun to shed light on the potential relationship between dysfunctional
interoception and suicidality. Overall, a systematic review of the available evidence indicates
that interoceptive impairments may be viable risk factors contributing to the emergence of
suicidal ideation and behaviors (Hielscher & Zopf, 2021). The literature consistently
demonstrates a robust association between diminished trust in bodily sensations and the
occurrence of suicidal ideation (Duffy et al., 2018, 2020; Forkmann et al., 2019; Gioia et al.,
2022; Rogers et al., 2018). Additionally, low confidence in the body is related to a history of
suicide attempts (Duffy et al., 2018, 2020; Rogers et al., 2018). However, it is important to
acknowledge the limitations present in most prior studies within this domain, particularly with
regard to their use of cross-sectional research designs, and insufficient control for disease-
specific confounding variables such as depression severity (Hielscher & Zopf, 2021).
Furthermore, there is a notable lack of longitudinal studies that have specifically examined
interoceptive predictors of suicidal ideation among inpatients diagnosed with MDD.
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Therefore, we explored prospective associations between self-reported interoception in MDD
inpatients at admission and the likelihood of reporting suicidal ideation upon psychiatric
discharge, aiming to enable early identification of at-risk patients during the initial phase of
hospital treatment. Furthermore, we aimed to delineate interoceptive baseline disparities in
body trusting between inpatient groups exhibiting differentiated change patterns in suicidal
ideation from admission to discharge.
2. Methods
During all stages of the research process, the declaration of Helsinki has been considered, and
patients gave their written informed consent to participate in the study. The study was
approved by the ethics committee of Ulm University (registration number: 13/17).
2.1 Procedure and Participants
This observational study included 87 participants who were consecutively admitted to a
hospital ward specialized for the treatment of MDD in the Department of Psychiatry and
Psychotherapy I of Ulm University (ZfP Südwürttemberg, Weißenau) meeting inclusion
criteria (main diagnosis of major depression, ≥18 years, proficiency of the German language).
Patients were excluded if they showed symptoms of psychosis, schizophrenia, intellectual
disability, or substance abuse. Included participants were 47.57 (±10.64) years old, 49
(56.32%) patients were female, and 60 (68,97%) were diagnosed with recurrent depressive
disorder (F33). Most patients (n = 79, 90.81%) fulfilled criteria for severe depression (F3x.2),
8 (9.20%) patients were diagnosed with moderate depression (F3x.1). Diagnoses were
assessed by trained psychiatrists or clinical psychologists according to ICD-10 criteria (WHO,
1992).
The present study is part of a larger project investigating interoceptive predictors of treatment
outcomes in inpatients suffering from MDD. A detailed description of study characteristics
and treatment components has been published in a previous paper (Eggart & Valdés-Stauber,
2021) and will be briefly summarized here. The treatment followed a guideline-based
approach and was not changed during the study period. All patients received psychotherapy
(weekly sessions on the individual and group level), and most participants ( n = 83, 95.40%)
were treated with antidepressants. The antidepressant therapy was complemented by nursing
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6
interventions (e.g., crisis intervention, professional communication, relaxation techniques)
and by exercise therapy. Study data were assessed within 48 hours after admission
(T0)/discharge (T1) to/from hospital, respectively. The median treatment duration was 8
weeks (interquartile range: 6.50-10.00). Further details on participants' characteristics are
presented in Table 1.
2.2 Measures
2.2.1 Multidimensional Assessment of Interoceptive Awareness, Version 2 (MAIA-2)
The Multidimensional Assessment of Interoceptive Awareness, Version 2 (MAIA-2) is a self-
rating scale which assesses differentiated aspects of self-reported interoception (Eggart et al.,
2021; Mehling et al., 2018). The multidimensional questionnaire includes 37 items which are
rated on a 6-point Likert scale (0 = “never”; 5 = “always”). The scales are averaged based on
their respective items and are briefly described in the following (a sample item for each
dimension and internal consistency reliability estimates for this study will be reported in
brackets): Noticing (McDonald’s ω = 0.58; “I notice when I am uncomfortable in my body.”);
Not-Distracting (ω = 0.67; “When I feel unpleasant body sensations, I occupy myself with
something else so I don’t have to feel them.”); Not-Worrying (ω = 0.67; “When I feel physical
pain, I become upset.”); Attention Regulation ( ω = 0.87; “I can refocus my attention from
thinking to sensing my body.”); Emotional Awareness (ω = 0.86; “I notice that my breathing
becomes free and easy when I feel comfortable.”); Self-Regulation (ω = 0.76; “When I am
caught up in thoughts, I can calm my mind by focusing on my body/breathing.”); Body
Listening ( ω = 0.77; “I listen for information from my body about my emotional state.”);
Trusting ( ω = 0.88; “I feel my body is a safe place.”) (Eggart et al., 2021). In previous
research, the MAIA-2 demonstrated adequate reliability and construct validity (Mehling et al.,
2012, 2018). The questionnaire also exhibited criterion validity in distinguishing between
treatment response groups in depressed inpatients (Eggart et al., 2021). The strength of
MAIA-2 is its ability to differentiate between clinically beneficial and maladaptive
interoceptive states by assessing attention styles towards the body that are anxiety-driven or
linked to self-regulatory benefits (Mehling, 2016). The questionnaire is frequently used in
clinical samples and in the general population (Todd et al., 2020).
2.2.2 Beck Depression Inventory-II (BDI-II)
The Beck Depression Inventory-II (BDI-II) is a frequently used self-rating scale which
assesses severity of depression in patients diagnosed with MDD. The questionnaire is
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unidimensional and includes 21 items that are rated on a 4-point Likert scale (Hautzinger et
al., 2006). A sample item of the BDI-II is (Beck et al., 1996): “Loss of Pleasure” (0 = “I get as
much pleasure as I ever did from the things I enjoy”; 1 = I don’t enjoy things as much as I
used to”; 2 = “I get very little pleasure from the things I used to enjoy”; 3 = “I can’t get any
pleasure from the things I used to enjoy”). The items are summed up to assess overall
depression severity. In the present study, we excluded item 9 from the sum score because this
item was investigated as the outcome variable (please, see below). The internal consistency
reliability of the BDI-II (ex item 9) in the present study was good ( ω = 0.89). In previous
research, the measure demonstrated adequate reliability and validity (Beck et al., 1996;
Hautzinger et al., 2006).
2.2.3 Suicidal ideation
Suicidal ideation was investigated by extracting item 9 from the BDI-II. The exact wording of
this item is as follows (Beck et al., 1996): “Suicidal Thoughts or Wishes” (0 = “I don't have
any thoughts of killing myself.”; 1 = “I have thoughts of killing myself, but I would not carry
them out.”; 2 = “I would like to kill myself.”; 3 = “I would kill myself if I had the chance.”).
We dichotomized patients' responses to construct a binary variable which classified patients
who reported suicidal thoughts of any severity (0 = “no suicidal ideation”; 1-3 = “suicidal
ideation”).
2.3 Data analysis
The statistical analysis was performed in R version 4.3.0 (R Core Team, 2023) including the
following R packages: cutpointr 1.1.1, fmsb 0.7.5, ggpubr 0.6.0, margins 0.3.26.1, MBESS
4.8.1, OptimalCutpoints 1.1-5, performance 0.8.0, psych 2.1.9, and tidyverse 1.3.1. For all
analyses, the significance level was a priori set to 5%. Differences between patient groups
with and without suicidal ideation were estimated by using t-tests (metric variables) or Chi
2-
tests (categorial variables). In the analysis aimed at delineating interoceptive baseline
disparities between inpatient groups with differentiated change patterns in suicidal ideation
from admission to discharge, we included the MAIA-2 Trusting scale due to its significance in
previous research in suicidology (Hielscher & Zopf, 2021) and conducted a one-way ANOV A
followed by Tukey’s post-hoc tests for multiple comparisons. A hierarchical logistic
regression analysis was run to estimate the association between self-reported interoception
(T0) and suicidal ideation (T1). In the first block, the following control variables were
included to account for potential confounding effects with self-reported interoception based
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on previous research (Eggart et al., 2023a; Eggart & Valdés-Stauber, 2021): age, sex, body
mass index, somatic comorbidity. The regression model was also adjusted for depression
severity (BDI-II ex item 9, T0) and suicidal ideation (T0). In a separate sensitivity analysis,
we exclusively included the MAIA-2 Trusting scale in the second block to determine its
single contribution to the model. The odds ratio ( OR) and average marginal effects ( AME)
were reported as effect measures along with 95% confidence intervals (95% CI).
We conducted a receiver operating characteristic (ROC) curve analysis to identify the
diagnostic cutpoint at admission which predicts suicidal ideation at discharge. In the ROC
curve analysis, a cutpoint for the MAIA-2 Trusting scale (T0) was derived on the basis of
Youden’s index by maximizing the sum of sensitivity and specificity (Youden, 1950). This
cutpoint classified patients who reported suicidal ideation (= positive test) of any severity
versus no suicidal ideation (= negative test) at the end of treatment. The area under the curve
(AUC) was estimated by plotting the sensitivity ( y-axis) against 1 –specificity ( x-axis). The
quality of classification, i.e. accuracy, was further investigated by estimating the proportion of
correctly classified cases. We also checked the assumptions of ROC curve analysis requiring
a minimal correlation of |r| ≥ .30 for the associated metric variables (King, 2011).
3. Results
Participants' characteristics grouped by suicidal ideation status (T1) are shown in Table 1. The
prevalence of patients ( n = 87) with any suicidal ideation was 56.32% ( n = 49) at baseline
(T0) and 17.24% ( n = 15) at discharge (T1). Patients with suicidal ideation at psychiatric
discharge showed higher baseline severity of depression and higher burden of suicidal
ideation as well as significantly lower confidence in the body.
Overall, suicidal ideation significantly decreased during the course of treatment (T0: 0.66 ±
0.68; T1: 0.18 ± 0.42), t(86) = 6.82, p < 0.01 (two-tailed). In detail, suicidal ideation of any
severity developed in 1 (1.15%) patient (‘no
T0→yesT1’), disappeared in 35 (40.23%) patients
(‘yesT0→noT1’), remained in 14 (16.09%) patients (‘yes T0→yesT1’), and was not reported at
any time point by 37 (42.53%) patients (‘no T0→noT1’). We explored whether baseline scores
on the MAIA-2 Trusting scale differed between these groups after excluding the single patient
who developed suicidal ideation during hospital treatment (Figure 1). There was a significant
difference in body confidence between the three groups, F(2, 83) = 7.01, p < 0.01,
= 0.15
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9
(large effect). The assumption of homoscedasticity was met by visually checking the Q-Q plot
(not reported). In a post-hoc multiple comparison analysis, the Tukey HSD test revealed that
baseline Trusting scores in patients who stopped with suicidal ideation during treatment
(‘yesT0→noT1’: 1.91±1.08) were lower than in patients without any suicidal ideation at both
time points (‘no T0→noT1’: 2.68±1.26), ∆M = -0.77 [95% CI -1.41, -0.13], padj = 0.01.
Accordingly, patients in whom suicidal ideation remained unchanged during treatment
reported lower baseline Trusting scores (‘yes T0→yesT1’: 1.50±0.97) compared to the
‘noT0→noT1’ group, ∆M = -1.18 [95% CI -2.04, -0.33], padj < 0.01. However, probably due to
lack of statistical power, there was no significant difference between the ‘yes T0→yesT1’ and
the ‘yesT0→noT1’ group, ∆M = -0.41 [95% CI -1.28, 0.45], padj = 0.49.
In a logistic regression analysis (Table 2), we identified low body trusting, AME = -0.13 [95
% CI -0.21, -0.05], and the occurrence of somatic comorbidity, AME = 0.25 [95% CI 0.08,
0.41], as significant predictors of suicidal ideation over the time course, even after adjusting
for baseline suicidal ideation that also showed a significant effect, AME = 0.20 [95% CI 0.08,
0.32]. Regarding self-reported interoception, this means that a one-unit increase on the
MAIA-2 Trusting scale at baseline is associated with an averaged 13.01% decreased
probability of experiencing suicidal ideation at the time of discharge. The statistical model has
significantly improved after inclusion of the eight MAIA-2 scales, showing an increase of
explained variance by 23.23% (Nagelkerke’s R
2), χ 2 (8) = 16.83, p = 0.03. Assumptions of
logistic regression analysis were checked for the analyzed models, and multicollinearity was
not identified (VIF < 10).
In an additional sensitivity analysis, we exclusively included the MAIA-2 Trusting scale in
the hierarchical regression analysis to estimate its single contribution to the model and found
a comparable significant effect, B = -0.76, SE = 0.38, z = -1.99, p < 0.05, OR = 0.47 [95% CI
0.20, 0.94], AME = -0.08 [95% CI -0.15, -0.01]. The explained variance increased by 6.82%,
χ
2 (1) = 4.61, p = 0.03.
The central assumption of ROC curve analysis was checked by showing a significant
correlation between MAIA-2 Trusting (T0) and suicidal ideation (T1), r = -0.28 (95% CI -
0.46, -0.08), p < 0.01. Regarding the total sample, a ROC cutpoint of ≤2.33 on the Trusting
scale (Figure 2) optimally classified patients under subsequent risk for suicidal ideation at
discharge (AUC: 0.70 [95% CI 0.57, 0.83]; sensitivity: 0.87 [95% CI 0.60, 0.98]; specificity:
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0.44 [95% CI 0.33, 0.57]; accuracy: 0.52). In this highly depressed sample, the positive
predictive value, i.e. true positive/(true positive+false positive) = 13/(13+40), was 24.53%
[95% CI 16.50, 74.79]. The negative predictive value, i.e. true negative/(true negative+false
negative) = 32/(32+2), was 94.12% [95% CI 78.37, 96.31]. This means that, based on the
prevalence of suicidal ideation (T1) = 17.24% in this sample, patients with a baseline Trusting
score > 2.33 were at low risk for suicidal ideation, whereas every fourth patient with a score ≤
2.33 showed suicidal ideation at discharge.
4. Discussion
In the present study, we sought to identify interoceptive predictors of suicidal ideation in
patients suffering from MDD. In summary, diminished body trusting, i.e. experiencing the
body as unsafe and untrustworthy, after admission to hospital significantly predicted suicidal
ideation at psychiatric discharge. Main findings and clinical implications for suicide
prevention are discussed in the following sections.
Research on the prediction of suicidal ideation has so far yielded few conclusive results,
particularly concerning prospective predictions over the time course of hospital treatment
(Beck et al., 1989; Hawton et al., 2013). In this study, we identified, for the first time, a
cutpoint on the Trusting subscale of the MAIA-2 that served as a significant predictor of
subsequent suicidal ideation. The cutpoint demonstrated strong sensitivity, indicating that a
substantial proportion of patients who reported suicidal ideation by the time of hospital
discharge had a high probability of exhibiting subthreshold scores on the Trusting scale at
baseline. However, the specificity of this cutpoint was suboptimal, leading to a higher rate of
false-positive classifications by this diagnostic classifier. At first glance, the limitations of low
specificity may seem disappointing, as it results in a low positive predictive value. However,
it is important to consider that, given the current scarcity of predictors for suicidal ideation,
even a predictor with limited classification accuracy is better than having no reliable
predictors at all, which is currently the case. The cutpoint may help to identify patients at risk
for suicidal ideation, enabling clinicians to tailor treatments for this high-risk group and better
prepare for potential suicidal incidents in the critical period after hospital discharge – a time
where suicidal risk is highest across all treatment stages (Chung et al., 2017; Forte et al.,
2019; Goldacre et al., 1993; Ho, 2003; Krause et al., 2020; Park et al., 2013). However,
research indicates that suicidal ideation and progression from suicidal thoughts to suicidal
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attempt is a distinct phenomenon with different predictors and mechanisms. While factors
such as depression, hopelessness, and impulsivity are significant predictors of suicidal
ideation, these variables do not consistently differentiate between individuals with suicidal
ideation and suicide attempters (Klonsky et al., 2016). In summary, our results highlight the
potential of interoceptive measures in predicting suicidal ideation, while emphasizing the
need for improvements in the measure’s specificity by considering further factors to reduce
false-positive rates.
Our findings align with recent reports by Gioia et al. (2022), who examined interoceptive
predictors of suicidal ideation in a sample of participants without a clinical diagnosis of MDD
using a longitudinal follow-up design. Their study revealed that diminished body trusting
uniquely predicted both the presence and severity of suicidal ideation over a period of six
months. However, unlike our study, the authors did not adjust for baseline depression severity.
Furthermore, accumulating evidence from cross-sectional studies demonstrates similar
associations between appraising bodily sensations as unsafe or untrustworthy and the presence
of suicidal thoughts, thereby further supporting our findings (Duffy et al., 2020; Hielscher &
Zopf, 2021; Perry et al., 2021; Rogers et al., 2018). Reduced body trusting has been suggested
as an indicator of detachment from the body, a state that may contribute to an intensified
desire for death (Belanger et al., 2023). Therefore, Smith et al. (2021) sought to enhance
interoceptive dimensions, particularly body trusting, through an online intervention
incorporating progressive muscle relaxation techniques, which effectively reduced outcomes
related to suicidal ideation. These preliminary findings indicate that dysfunctional self-
reported interoception may function not only as a risk factor for suicidal ideation but also as a
promising target for interventions aimed at reducing the risk of suicide attempts or
completions. While causal dynamics remain challenging to establish, psychological
frameworks such as the concept of the “body-self” and the psychopathological construct of
“depersonalization” warrant further exploration. Reduced body trusting could be clinically
reinterpreted as depersonalization, i.e. a tendency not to take the bodily experience for granted
but to focus on it perceptually, thereby awakening a gradual feeling of disconnection.
Moreover, insights from philosophical and medical anthropology propose that experiential
phenomena can be organized along fundamental pre-reflective dimensions, including
“corporality” (Fuchs, 2018, 2021; Merleau-Ponty, 1945; Schmitz, 2011; Valdés-Stauber,
2024). In the context of certain physical and mental disorders, disruptions in this dimension
may contribute to distorted self-perception and exacerbate psychopathological processes.
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In hospitalized patients with MDD, it has been demonstrated that improvements in body
trusting during treatment-as-usual are associated with a better response to therapy. This effect
was particularly pronounced in women (Eggart & Valdés-Stauber, 2021). Furthermore, an
experimental treatment involving ketamine in healthy individuals has demonstrated adverse
effects on various aspects of self-reported interoception, by inducing a state of disembodiment
and particularly by reducing body trusting (Kaldewaij et al., 2024). Consequently, study
participants expressed a desire for any kind of touch or physical contact from significant
others. These preliminary findings may provide new insights into the mechanisms that
promote positive body awareness, which could potentially be enhanced through increased
skin-to-skin contact (Kaldewaij et al., 2024). Clinical studies have also shown that massage
therapy utilizing affective touch (i.e., gentle, slow, and rhythmic touch resembling effleurage
techniques) can yield antidepressant, anxiolytic, analgesic, and hopelessness-reducing effects
in individuals with MDD (Arnold et al., 2020; Baumgart et al., 2011, 2020; Hou et al., 2010;
McGlone et al., 2024; Moyer et al., 2004; Müller-Oerlinghausen et al., 2004), probably
through an interoceptive mechanism of action (Bohlen et al., 2021; Eggart, Queri, et al.,
2019). Given this context, it is plausible that fostering positive tactile experiences could serve
as a protective factor against suicidal thoughts or suicide, promoting body awareness,
emotional regulation, a sense of safety, and social belongingness (Belanger et al., 2023;
Heatley Tejada et al., 2020; Noone & McKenna-Plumley, 2022; Orbach, 2003; Orbach et al.,
2006; Silvestri et al., 2023). This hypothesis warrants further investigation and builds upon
key assumptions from social theories of suicide (Durkheim, 1897; Joiner, 2005), highlighting
social isolation as a major risk factor (Motillon-Toudic et al., 2022). A sociological
perspective suggests that interpersonal contact holds affective significance, corresponding to
the anthropological dimension of “intercorporeality”. At a certain proximity, interpersonally
relevant interactions may overlap with the dimension of “corporeality,” emphasizing the
connection between relational and embodied experiences (Fuchs, 2013; Tanaka, 2015).
This study has several limitations that should be addressed in future research. The
observational nature of this secondary data analysis limits definite causal interpretation, as it
precludes control over potentially relevant and unknown confounders which interact with the
MAIA-2 Trusting scale. To strengthen the validity of these findings, future preregistered
studies with sufficient statistical power are needed, using comprehensive designs and detailed,
multi-item suicidal self-report measures. Larger sample sizes would also enhance control over
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preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in
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13
type II errors, particularly for interoceptive predictors. Furthermore, our reliance on a
psychiatric inpatient sample introduces a selection bias, restricting the generalizability of the
findings to other populations. However, this homogeneous sample also represents a strength,
as it allows to estimate validated cutpoints relevant to typical psychiatric hospital settings,
enhancing risk assessment in this population. Due to the exploratory nature of this study, we
were unable to identify the underlying etiology of reduced body trusting in MDD, an area that
warrants further investigation (Eggart et al., 2023b). Additionally, the study was
underpowered to explore potential interactions between somatic comorbidity and low body
confidence, meaning that we cannot exclude the possibility that the observed association
between body confidence and suicidal ideation may be specific to patients with somatic
comorbidities. Despite the aforementioned limitations, this study has the advantage of
generating hypotheses that open a new direction for research into the phenomenon of suicidal
ideation.
5. Conclusion
In this study, the level of self-reported body trusting at the onset of hospital treatment emerged
as a significant predictor of suicidal ideation at discharge. Routinely assessing body trusting
in patients with depression could thus provide healthcare providers with valuable insights,
facilitating the identification of individuals at elevated risk for suicidal ideation. If evidence of
reduced body trusting is present, the administration of SSRIs should be approached with
heightened caution as these substances can potentially induce suicidal thoughts and behaviors
(Stübner et al., 2018). Investigating the mechanisms by which interoception influences mental
health outcomes may reveal promising therapeutic pathways, particularly by integrating
psychological and body-centered treatments into patient care to reduce suicide risk. Thus,
body trusting could serve not only as an important prognostic factor but also as a potential
target for interoceptive therapies.
Declarations
Ethics approval and consent to participate: The study was approved by the ethics
committee of Ulm University (registration number: 13/17). The principles of the Declaration
of Helsinki were followed. Patients gave their written informed consent.
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preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in
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14
Availability of data and materials: The datasets used and/or analyzed during the current
study are available from the corresponding author on reasonable request.
Conflict of interest: The authors declare no conflict of interest.
Funding: Not applicable.
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Figure 1. Difference in baseline body trusting between groups with differentiated change
patterns in suicidal ideation from admission (T0) to discharge (T1). Patients who reported no
suicidal ideation at any time point showed the highest baseline ratings in body trusting. The
hybrid of a boxplot and a kernel density plot (grey) depicts the ratings on the MAIA-2
Trusting scale. The white boxplots show the median (vertical black line) and first/third quarter
(lower/upper limit of the box) of the data. Asterisks indicate statistically significant
differences (Tukey HSD test:
*p < 0.05, **p < 0.01).
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28
Figure 2. Results of ROC curve analysis establishing a binary classification of baseline
MAIA-2 Trusting scores predicting suicidal ideation at discharge. A. The ROC curve shows
the true-positive rate (sensitivity, y-axis) and the false-positive rate (1 – specificity, x-axis) for
the optimal cutpoint (dashed line). B. The optimal cutpoint was extracted following the
Youden criterion (Youden, 1950), = max(
+ − 1) = 0.31 , which yielded the
cutpoint c ≤ 2.33 (dashed line). There was no evidence of multiple cutpoints. C. Sensitivity
and specificity plot for every possible baseline Trusting cut-point as a predictor of suicidal
ideation. The dashed line shows the optimal cutpoint according to the Youden criterion.
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29
Table 1: Participant characteristics (N = 87)
Characteristics
Suicidal ideation:
no (T1: N = 72)
Suicidal ideation:
yes (T1: N = 15)
M ± SD / N (%) M ± SD / N (%) t χ2 df p
Age (years) 47.21 ± 11.11 49.33 ± 8.13 -0.86 - 26.22 0.40
Sex (female) 41 (56.94%) 8 (53.33%) - 0.00 1.00 1.00
BMI (kg/m²) (T0) 26.30 ± 4.99 27.19 ± 6.71 -0.49 - 17.37 0.63
School Education
≤ 9 years
10 years
≥ 11 years
13 (18.06%)
33 (45.83%)
26 (36.11%)
6 (40.00%)
7 (46.67%)
2 (13.33%)
- 4.74 2.00 0.09
Employment status
unemployed
employed
retired
14 (19.44%)
53 (73.61%)
5 (6.94%)
7 (46.67%)
7 (46.67%)
1 (6.67%)
- 5.12 2.00 0.08
Living alone 19 (26.39%) 7 (46.67%) - 1.56 1.00 0.21
Main diagnosis (ICD-10) (T0)
F32 (single episode)
F33 (recurrent)
23 (31.94%)
49 (68.06%)
4 (26.67%)
11 (73.33%)
- 0.01 1.00 0.92
BDI-II (ex item 9) (T0) 28.82 ± 9.87 36.47 ± 8.83 -2.99 - 21.94 0.01*
Suicidal ideation (metric) (T0) 0.54 ± 0.63 1.20 ± 0.68 -3.47 - 19.34 0.00*
Suicidal ideation (dichot.) (T0)
yes
no
37 (51.39%)
35 (48.61%)
1 (6.67%)
14 (93.33%)
- 8.36 1.00 0.00*
No. previous psychiatric
inpatient treatments
0.99 ± 1.28 2.27 ± 2.60 -1.86 - 15.45 0.08
Somatic comorbidity 19 (26.39%) 8 (53.33%) - 3.05 1.00 0.08
No. psychotropic drugs (T0) 1.25 ± 1.20 2.00 ± 1.46 -1.89 - 18.09 0.08
Antidepressants (T1)
SSRI
SNRI
TCA
NASSA
27 (37.50%)
20 (27.78%)
15 (20.83%)
16 (22.22%)
3 (20.00%)
7 (46.67%)
2 (13.33%)
2 (13.33%)
-
-
-
-
1.00
1.28
0.10
0.18
1.00
1.00
1.00
1.00
0.32
0.26
0.76
0.67
Treatment duration (weeks) 8.12 ± 3.22 10.80 ± 7.16 -1.42 - 15.20 0.18
MAIA-2 (T0)
Noticing 2.94 ± 1.00 2.78 ± 0.72 0.73 - 26.48 0.47
Not-Distracting 1.68 ± 0.77 1.64 ± 0.75 0.17 - 20.76 0.87
Not-Worrying 1.99 ± 0.93 2.24 ± 0.88 -1.00 - 21.10 0.33
Attention Regulation 2.08 ± 1.01 1.90 ± 0.89 0.69 - 22.11 0.50
Emotional Awareness 3.44 ± 1.10 2.96 ± 1.12 1.50 - 20.09 0.15
Self-Regulation 1.64 ± 0.94 1.77 ± 1.15 -0.41 - 18.12 0.68
Body Listening 1.57 ± 0.99 1.51 ± 1.14 0.20 - 18.64 0.84
Trusting 2.31 ± 1.23 1.49 ± 0.93 2.92 - 25.29 0.01*
Note: M ± SD = mean ± standard deviation; N = absolute frequency; % = relative frequency; BMI = body mass index;
BDI-II = Beck Depression Inventory-II; df = degrees of freedom (Welch-corrected for t-tests); ICD-10 = International
Statistical Classification of Diseases and Related Health Problems (10 th revision); MAIA-2 = Multidimensional
Assessment of Interoceptive Awareness, Version 2; NASSA = noradrenergic and specific serotonergic antidepressants;
SNRI = serotonin–norepinephrine reuptake inhibitors; SSRI = selective serotonin reuptake inhibitors; TCA = tricyclic
antidepressants.
*p < .05 (two-tailed)
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Table 2: Prediction of suicidal ideation (T1) by baseline (T0) self-reported interoception ( N = 87).
Variable M odel 1 Model 2
B SE z p OR [95% CI] B SE z p OR [95% CI]
Intercept -6.79 2.67 -2.54 0.01 * 0.00 [0.00, 0.14] -11.87 5.02 -2.34 0.02* 0.00 [0.00, 0.04]
Age 0.02 0.04 0.57 0.57 1.02 [0.96, 1.10] 0.03 0.04 0.70 0.49 1.03 [0.95, 1.14]
Sex (ref.: female) 0.05 0.66 0.07 0.94 1.05 [0.28, 3.84] 1.62 1.00 1.63 0.10 5.08 [0.83, 45.81]
BMI -0.01 0.07 -0.09 0.93 0.99 [0.87, 1.13] 0.01 0.08 0.07 0.94 1.01 [0.86, 1.18]
Som. Comorbidity 1.56 0.68 2.29 0.02* 4.76 [1.29, 19.39] 2.82 1.18 2.39 0.02* 16.77 [2.17, 266.74]
BDI-II (ex item 9) 0.06 0.04 1.37 0.17 1.06 [0.98, 1.16] 0.10 0.05 1.83 0.07 1.10 [1.00, 1.23]
Suicidal ideation (T0) 2.44 1.15 2.13 0.03* 11.53 [1.72, 236.31] 3.18 1.52 2.09 0.04* 24.01 [2.20, 1527.26]
MAIA-2 N - - - - - -0.47 0.75 -0.63 0.53 0.63 [0.13, 2.66]
MAIA-2 ND - - - - - 0.23 0.69 0.34 0.73 1.26 [0.29, 5.11]
MAIA-2 NW - - - - - 1.01 0.67 1.51 0.13 2.75 [0.80, 11.80]
MAIA-2 AR - - - - - 0.54 0.79 0.68 0.50 1.71 [0.39, 9.33]
MAIA-2 EA - - - - - -0.08 0.59 -0.14 0.89 0.92 [0.26, 2.82]
MAIA-2 SR - - - - - 0.29 0.59 0.49 0.63 1.33 [0.42, 4.51]
MAIA-2 BL - - - - - 1.05 0.70 1.50 0.13 2.86 [0.83, 14.25]
MAIA-2 T - - - - - -1.66 0.65 -2.57 0.01* 0.19 [0.04, 0.56]
Hosmer-Lemeshow
Goodness-of-Fit Test
χ2(8) = 9.95, p = 0.27 χ2(8) = 13.71, p = 0.09
Akaike Information
Criterion
73.96 73.13
-2 Log-Likelihood 59.96 43.13
Nagelkerke's R2 34.20% 57.43%
Note: B = regression coefficient; BMI = body mass index (kg/m²); MAIA-2 = Multidimensional Assessment of Interoceptive Awareness, Version 2 (subscales: N = Noticing; ND =
Not-Distracting; NW = Not-Worrying; AR = Attention Regulation; EA = Emotional Awareness; SR = Self-Regulation; BL = Body Listening; T = Trusting); SE = standard error; OR
[95% CI] = odds ratio [95% confidence interval]; z = z-test statistic.
*p < .05 (two-tailed)
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