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Anxious distress in people with major depressive episodes: a cross-sectional analysis of clinical correlates

Published online by Cambridge University Press:  25 July 2023

Francesco Bartoli Open the ORCID record for Francesco Bartoli [Opens in a new window] ,
Bianca Bachi ,
Tommaso Callovini ,
Dario Palpella ,
Susanna Piacenti ,
Marco Morreale ,
Maria Elisa Di Lella ,
Cristina Crocamo ,
Giuseppe Carrà  and
NOMIAC Investigators
Francesco Bartoli*
Affiliation:
Department of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
Bianca Bachi
Affiliation:
Department of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
Tommaso Callovini
Affiliation:
Department of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
Dario Palpella
Affiliation:
Department of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
Susanna Piacenti
Affiliation:
Department of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
Marco Morreale
Affiliation:
Department of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
Maria Elisa Di Lella
Affiliation:
Department of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
Cristina Crocamo
Affiliation:
Department of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
Giuseppe Carrà
Affiliation:
Department of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy Division of Psychiatry, University College London, London, UK
*
Corresponding author: Francesco Bartoli; Email: [email protected]
Rights & Permissions [Opens in a new window]

Abstract

Objective

Most people with major depressive episodes meet the criteria for the anxious distress (AD) specifier defined by DSM-5 as the presence of symptoms such as feelings of tension, restlessness, difficulty concentrating, and fear that something awful may happen. This cross-sectional study was aimed at identifying clinical correlates of AD in people with unipolar or bipolar depression.

Methods

Inpatients with a current major depressive episode were included. Data on socio-demographic and clinical variables were collected. The SCID-5 was used to diagnose depressive episodes and relevant specifiers. The Montgomery–Åsberg Depression Rating Scale (MADRS) and Young Mania Rating Scale (YMRS) were used to assess the severity of depressive and manic (mixed) symptoms, respectively. Multiple logistic regression analyses were carried out to identify clinical correlates of AD.

Results

We included 206 people (mean age: 48.4 ± 18.6 yrs.; males: 38.8%) admitted for a major depressive episode (155 with major depressive disorder and 51 with bipolar disorder). Around two-thirds of the sample (N = 137; 66.5%) had AD. Multiple logistic regression models showed that AD was associated with mixed features, higher YMRS scores, psychotic features, and a diagnosis of major depressive disorder (p < 0.05).

Conclusion

Despite some limitations, including the cross-sectional design and the inpatient setting, our study shows that AD is likely to be associated with mixed and psychotic features, as well as with unipolar depression. The identification of these clinical domains may help clinicians to better contextualize AD in the context of major depressive episodes.

Keywords

anxious distressmajor depressive episodemajor depressive disorderbipolar disordermixed features
Type
Original Research
Information
CNS Spectrums , Volume 29 , Issue 1 , February 2024 , pp. 49 - 53
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2023. Published by Cambridge University Press

Introduction

The combination of depression and anxiety, impacting individual outcomes and response to treatments of people with major depressive episodes, has been extensively explored.Reference Fava, Rush and Alpert 1 -Reference Gaspersz, Nawijn, Lamers and Penninx 3 Aiming at a more consistent definition of anxious depression,Reference Ionescu, Niciu, Henter and Zarate 4 the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5), introduced the “anxious distress” (AD) specifier that can be applied to any depressive episodes in the context of both unipolar and bipolar disorders. 5 AD is defined by the presence of symptoms including feelings of tension, restlessness, difficulty concentrating, and fear that something awful may happen or to lose control. AD should be further evaluated according to its severity, based on the number of criteria. 5 The inclusion of AD as a specifier of mood episodes has stimulated research in this field over the last few years.Reference Zimmerman, Clark, McGonigal, Harris, Guzman Holst and Martin 6 , Reference Zimmerman, Kerr, Balling, Kiefer and Dalrymple 7 Data from the National Epidemiologic Survey on Alcohol and Related Conditions III highlighted that AD occurred in around 75% of people suffering from depression.Reference Hasin, Sarvet and Meyers 8 The AD specifier in unipolar and bipolar depression may be linked to peculiar clinical outcomes.Reference Takeshima 9 , Reference Tundo, Musetti and de Filippis 10 Longitudinal data showed that the AD specifier may significantly outperform anxiety disorders in predicting chronicity, time to remission, and functional disability of major depressive disorders.Reference Gaspersz, Lamers and Kent 11 Moreover, AD has been associated with an increased severity of depressive symptoms.Reference Maneeton, Suttajit and Maneeton 12 -Reference Rosellini, Bourgeois, Correa, Tung, Goncharenko and Brown 14 The clinical management of AD may be made more complex by its interconnection with mixed features, especially in people with bipolar disorder.Reference Bartoli, Crocamo and Carrà 15 , Reference Sugawara, Tsutsumi and Inada 16 As a whole, the available literature seems to highlight that AD may identify a group of patients with a specific clinical profile.Reference Otsubo, Hokama, Sano, Watanabe, Kikuchi and Tanaka 13 , Reference Rosellini, Bourgeois, Correa, Tung, Goncharenko and Brown 14 , Reference Tundo, Musetti and Del Grande 17 Nonetheless, considering that studies in this field are sparse and influenced by a high degree of variability in terms of methodology and target populations, additional research is needed to identify key clinical variables associated with this condition. This study may be helpful to provide additional insight into the AD specifier in the context of unipolar and bipolar depression. We performed a cross-sectional study aimed at identifying clinical correlates of AD in people with major depressive episodes. We hypothesized that they would have higher clinical severity than those without AD, in terms of both depressive and manic (mixed) symptoms, as well as for the occurrence of mixed features specifier.

Methods

This cross-sectional study was designed and reported in accordance with the “Strengthening the Reporting of Observational studies in Epidemiology (STROBE)” statement.Reference von Elm, Altman and Egger 18 It was approved by the local Ethics Committee as a part of the broader Northern Milan Area Cohort (NOMIAC) project.Reference Bartoli, Bachi and Calabrese 19

Setting and eligibility criteria

We included individuals consecutively admitted for inpatient treatment from May 2020 to December 2022 to the psychiatric intensive care units (accounting for a total of 27 beds) of the local Nord Milano Mental Health Care Trust. This institution provides mental health care for about 270 000 inhabitants of the northern area of the Metropolitan City of Milan, from both deprived and affluent, highly urbanized districts. Subjects suffered from major depressive or bipolar disorders and were admitted for a major depressive episode as defined by the DSM-5 criteria. For study participants with multiple admissions, we used data from the first hospitalization. We excluded people i) younger than 16; ii) with intellectual disability; iii) with cognitive impairment or dementia; iv) with very brief hospital stays (<2 days).

Data collection

We collected information on socio-demographic characteristics, including age, gender, education, marital status, and employment. Data on clinical characteristics, including diagnosis, comorbid personality disorders, alcohol and substance use disorders, previous suicide attempts, physical diseases (diabetes, dyslipidemia, and hypertension), and psychopharmacological treatments at admission, were retrieved from clinical records and chart review. Trained assessors (“NOMIAC Investigators”) used the Structured Clinical Interview for DSM-5 (SCID-5)Reference First, Williams, Karg and Spitzer 20 to identify individuals with a current major depressive episode, and related specifiers, including AD, mixed features, and psychotic features.

According to DSM-5, AD was defined by the presence of at least two of the following symptoms during the majority of days of the current depressive episode:

  1. 1. Feeling keyed up or tense.

  2. 2. Feeling unusually restless.

  3. 3. Difficulty concentrating because of worry.

  4. 4. Fear that something awful may happen.

  5. 5. Feeling that the individual might lose control of himself or herself.

The severity of AD was differentiated, according to the number of criteria met: mild (two criteria), moderate (three criteria), moderate–severe (four criteria), or severe (five criteria). 5 Depressive symptom severity was measured by the Montgomery–Åsberg Depression Rating Scale (MADRS). A MADRS item-10 score ≥ 2 was used to rate the presence of current suicidal ideation.Reference Ballard, Luckenbaugh and Richards 21 , Reference Feeney, Hock and Freeman 22 The Young Mania Rating Scale (YMRS) was used to assess symptoms of the opposite polarity (manic symptoms). Data were collected and recorded anonymously using a standardized extraction template.

Data analysis

Standard statistics were computed for descriptive purposes. To estimate the potential differences between individuals with and without AD, we firstly carried out relevant univariate analyses. We used the Pearson’s Chi-square and Fisher’s exact tests (according to the number of cases) for categorical variables, as well as Student’s T or Mann–Whitney U tests (according to the data distribution) for continuous variables. Multiple logistic regression models were performed to assess the association between AD and candidate explanatory variables. These included age, gender, and diagnosis (major depressive versus bipolar disorder), as a priori characteristics, and those variables for which a p-value <0.1 was estimated at univariate analyses, consistently with the statistical approach used in previous studies.Reference Bartoli, Cavaleri and Moretti 23 , Reference Clerici, Bartoli, Carretta, Crocamo, Bebbington and Carrà 24 Regression coefficients with related 95% Confidence Interval (95%CI) were used to estimate the effects of explanatory variables. Statistical significance was set at p < 0.05. Analyses were performed using the Stata statistical software package, release 17.

Results

Characteristics of study participants

Among 779 people admitted to the inpatient units during the study period, 206 participants reported a depressive episode and were included in this study (mean age ± SD: 48.4 ± 18.6 years; proportion of men: 38.8%). Among them, 155 individuals suffered from major depressive disorder and 51 from bipolar disorder (12 type-I, 18 type-II, and 21 unspecified bipolar disorder), respectively. Two-thirds of the sample (N = 137; 66.5%) showed AD (41 individuals mild, 72 moderate, 18 moderate–severe, and six severe AD). The sample characteristics are reported in Table 1.

Table 1. Sample characteristics and differences between individuals with and without Anxious Distress

Abbreviations: MADRS, Montgomery–Åsberg depression rating scale; N, number of subjects; ns, not significant; SD, standard deviation; YMRS, Young Mania rating scale.

a Mann–Whitney test.

b Pearson’s Chi-square test.

c Missing data: N = 8 (4 with anxious distress, 4 without anxious distress).

d Student’s T test.

e Fisher’s exact test.

Correlates of anxious distress: univariate analyses

Univariate analyses estimated that the AD specifier was associated with manic symptoms as measured by YMRS score (p = 0.004), though not with depressive symptom severity (p = 0.35). In addition, individuals with psychotic features were more likely to show AD (p = 0.001). No other variables, including the mixed features specifier (p = 0.06) and the occurrence of substance use disorders (p = 0.09), were associated with AD. Results are shown in Table 1.

Correlates of anxious distress: multiple logistic regression analyses

Considering the clinical overlap between manic symptoms as measured by YMRS and the mixed features specifier, we run two independent multiple logistic regression models, sequentially including these explanatory variables. The first (Model 1) showed that AD was associated with higher YMRS scores (p = 0.004), psychotic features (p = 0.017), and a diagnosis of major depressive disorder (p = 0.001). Similar findings emerged from the second model (Model 2), corroborating the association of AD with mixed (p = 0.049) and psychotic features (p = 0.004), and with a diagnosis of major depressive disorder (p = 0.004). Results are shown in Table 2.

Table 2. Factors associated with Anxious Distress in people with Major Depressive Episodes: Multiple Logistic Regression Models

Abbreviations: CI, confidence interval; coeff., regression coefficient; YMRS, Young Mania rating scale.

a for a 1-unit change.

b vs. female gender.

c vs. bipolar disorder.

d vs. without mixed features.

e vs. without psychotic features.

f vs. without substance use disorder.

Discussion

The aim of this study was to investigate the clinical correlates of AD among people with unipolar and bipolar depression consecutively admitted for inpatient care. Benefitting from standardized assessments and rigorous sampling procedures, we hypothesized that people with AD would have higher clinical severity than those without AD in terms of both depressive and manic (mixed) symptoms, as well as for the occurrence of mixed features specifier.

We found that AD occurs in two out of three people with unipolar or bipolar depression. Although prevalence rates are slightly lower than those estimated in previous studies, based on different geographical areas and clinical settings,Reference Hasin, Sarvet and Meyers 8 , Reference Maneeton, Suttajit and Maneeton 12 , Reference Zimmerman, Martin and McGonigal 25 several findings characterizing AD in people with unipolar or bipolar depression emerged from our study.

First, people with AD had more symptoms of the opposite polarity (mixed features specifier and manic symptoms as measured by YMRS) than those without AD, regardless of age, gender, and diagnosis. This is not surprising and seems consistent with evidence emerging from previous studies.Reference Tundo, Musetti and de Filippis 10 , Reference Shim, Lee and Kim 26 Indeed, the so-called mixed depression seems more likely to occur in people suffering from a major depressive episode with AD.Reference Takeshima 9 It has been shown that the interplay between anxiety and manic symptoms in the context of depression represents an important clinical domain, influencing treatment response and disease course.Reference Shim, Lee and Kim 26 , Reference Shim, Bae and Bahk 27 Nonetheless, the partial overlap between anxious and manic symptoms remains a matter of debate, making the differentiation of these clinical domains complex.Reference Tundo, Musetti and Del Grande 17 Clinical features, such as racing thoughts and pressured speech, may be common in both AD and manic symptoms.Reference Tundo, Musetti and Del Grande 17 In addition, the combination of anxiety and mixed features in depression may be the possible expression of a painful inner tension or, on the other side, a disinhibited goal-directed behavior and thought.Reference Swann 28

Secondly, we uncovered a strong link between AD and psychotic features. To our knowledge, this is the first study ascertaining this association. This finding is particularly relevant considering the impact of anxiety on treatment outcomes of psychotic depression.Reference Davies, Mulsant and Flint 29 It should be noted that, although psychotic-like experiences are usually associated with psychotic disorders, these symptoms are frequent among individuals with either depression or anxiety.Reference Varghese, Scott and Welham 30 Even though the mechanisms underlying psychotic features and anxiety remain unknown,Reference Saha, Scott, Varghese and McGrath 31 it can be hypothesized that anxiety may represent an individual response to the feeling of unreality and dissociative experiencesReference Černis, Freeman and Ehlers 32 that may precede delusions and hallucinations emerging from a depressive state. Clearly, the cross-sectional design of our study did not allow us to analyze the temporal sequence of these clinical domains. Nonetheless, the co-occurrence of psychosis and anxiety in depression strengthens the concept that specific networks of symptoms from different psychopathological dimensions may mutually influence each other.Reference Wigman, van Nierop and Vollebergh 33

Moreover, from our study, AD seems to be associated with a diagnosis of major depressive disorder, when controlling for putative variables (age, gender, mixed and psychotic features). Thus, our findings seem to support the hypothesis that AD may be a peculiar specifier of unipolar depression,Reference Shim, Lee and Kim 26 instead of a potential bipolarity index of major depressive episodes,Reference Tundo, Musetti and de Filippis 10 which was an alternative hypothesis from previous conflicting evidence.

Finally, our study showed that AD might be unrelated to other clinical variables. In particular, it is worth mentioning that no association between depressive symptom severity and AD was estimated. This is not consistent with findings from relevant previous studies.Reference Rosellini, Bourgeois, Correa, Tung, Goncharenko and Brown 14 , Reference Sugawara, Tsutsumi and Inada 16 Nonetheless, it should be considered that individuals included in our study were enrolled from inpatient units, where only people with a severe clinical condition are admitted, thus making it difficult to find possible differences in inevitably high symptom severity.

Some limitations should be acknowledged when interpreting our findings. First, the cross-sectional design of our study did not allow us to make any inference on the causal relationship between AD and the explored clinical domains of major depressive episodes. Second, since our study was based on a relatively limited sample without any size estimation, we should not rule out further associations between putative variables and AD, possibly not detected by our analyses. This may also explain the lack of precision for some explanatory variables (eg, mixed and psychotic features). Third, the study recruitment from an inpatient setting makes it likely to oversample individuals with increased care needs and poorer global functioning. These subjects may not be representative of the overall clinical population with depression. In addition, we did not assess affective temperaments despite their potential influence on mood disorder course and severity.Reference Simonetti, Luciano and Sampogna 34 Similarly, we did not report information on lifetime history of suicidal attempts, due to the high risk of recall bias. Finally, our study assumed just a categorical perspective for AD as well as for covariates, such as substance use and personality disorders, since the relatively small sample size did not allow us to consider their severity. Additional studies are needed to analyze whether putative clinical variables correlate with AD severity. These should also clarify whether the intolerance of uncertainty might further add to a more fine-grained pattern of AD.Reference Koerner, Mejia and Kusec 35 -Reference Sabouri, Gerber and Lemola 37

Conclusion

Our study provides additional insight into the clinical profile of individuals with AD in the context of depression. It seems associated with major depressive disorder and clinical domains, including mixed and psychotic features, though not with depressive symptom severity. Additional studies are needed to explore the generalizability of our findings and to better contextualize AD in the context of major depressive episodes.

Author contribution

Investigation: B.B., D.P., M.M., S.P., T.C.; Resources: B.B., D.P., M.E.D.L., M.M., S.P., T.C., F.B.; Visualization: B.B., C.C., M.E.D.L., F.B.; Writing – review & editing: B.B., C.C., D.P., G.C., M.E.D.L., M.M., S.P., T.C.; Data curation: C.C., D.P., M.E.D.L., S.P., T.C.; Formal analysis: C.C., G.C., F.B.; Methodology: C.C., F.B.; Software: C.C., F.B.; Conceptualization: G.C., F.B.; Supervision: G.C., F.B.; Project administration: F.B.; Validation: F.B.; Writing – original draft: F.B.

Financial support

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Disclosure

The authors do not have anything to disclose.

Footnotes

NOMIAC Investigators include: Filippo Fabio Barbieri, Alessandra Bartoccetti, Carlo Bassetti, Gianna Bernasconi, Carlo Bommartini, Paolo Bona, Federica Boniello, Angela Calabrese, Aurelia Canestro, Chiara Alessandra Capogrosso, Daniele Cavaleri, Marta Castiglioni, Riccardo Matteo Cioni, Francesca Colangelo, Aldo De Pietra, Tommaso Frigeni, Marco Gazzola, Letizia Gianfelice, Nicole Gandolfo, Pierluca Guzzi, Giada Lauria, Serena Limonta, Susanna Lucini Paioni, Stefano Mauro, Martina Molendini, Pietro Morello, Federico Moretti, Christian Nasti, Luca Prestifilippo, Martina Re, Oliviero Villa (University of Milano-Bicocca), and Paolo Camera (ASST Nord Milano).

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Figure 0

Table 1. Sample characteristics and differences between individuals with and without Anxious Distress

Figure 1

Table 2. Factors associated with Anxious Distress in people with Major Depressive Episodes: Multiple Logistic Regression Models