metricas
covid
Revista Colombiana de Psiquiatría Structural Study of Anxiety and Mood-related Symptomatology in Psychiatric Outpa...
Información de la revista
Vol. 53. Núm. 4.
Páginas 505-516 (Octubre - Noviembre 2024)
Visitas
180
Vol. 53. Núm. 4.
Páginas 505-516 (Octubre - Noviembre 2024)
Original article
Acceso a texto completo
Structural Study of Anxiety and Mood-related Symptomatology in Psychiatric Outpatients
Estudio estructural de la sintomatología ansiosa y afectiva en pacientes ambulatorios
Visitas
180
Johann M. Vega-Dienstmaiera,
Autor para correspondencia
johann.vega.d@upch.pe

Corresponding author.
, Frine Samalvidesb,c, Renato D. Alarcónd,e
a M.D., Psychiatrist, Master in Clinical Epidemiology, Facultad de Medicina Alberto Hurtado, Universidad Peruana Cayetano Heredia, Lima, Peru
b M.D., Infectologist, Master in Clinical Epidemiology, Facultad de Medicina Alberto Hurtado, Universidad Peruana Cayetano Heredia, Lima, Peru
c Hospital Cayetano Heredia, Lima, Peru
d M.D., M.P.H., Psychiatrist, Department of Psychiatry and Psychology, Mayo Clinic School of Medicine, Rochester, MN, USA
e Universidad Peruana Cayetano Heredia, Lima, Peru
Este artículo ha recibido
Información del artículo
Resumen
Texto completo
Bibliografía
Descargar PDF
Estadísticas
Figuras (1)
Tablas (4)
Table 1. The phobic syndromes and their corresponding symptoms.
Tablas
Table 2. The “anergia”, “lack of positive affect”, “depressive core”, “post-traumatic stress/obsession”, “general anxiety”, and “fear of losing control/going crazy” syndromes and their corresponding symptoms.
Tablas
Table 3. The “irritability”, “cognitive difficulties”, “sleep problems”, “somatic syndrome” and “mania” syndromes, and their corresponding symptoms.
Tablas
Table 4. Matrix of polychoric correlations between the identified dimensions.
Tablas
Mostrar másMostrar menos
Abstract
Introduction

Knowledge of the symptomatological structure of mental disorders is relevant for their understanding and classification. In the absence of previous Latin American research on the simultaneous structural exploration of various types of psychiatric symptomatologies, the objective of this study is to examine the structure of anxious and mood-related symptoms, resulting syndromes, and their correlations.

Method

Several instruments for the evaluation of anxious, depressive, and manic symptoms were administered to 305 psychiatric outpatients. Using factor analysis and network graphs based on polychoric correlations between the symptoms, their clustering patterns (syndromes) were explored. Further, correlations between the scores of each resulting syndrome were performed.

Results

The symptom grouping process led to a total of fifteen generally overlapping syndromes: fear of evaluation, fear of people, agoraphobia, general anxiety, somatization, anergy, depressive core, lack of positive mood, cognitive difficulties, mania, post-traumatic stress/obsessions, fear of madness/loss of control, acrophobia, irritability, and sleep disturbances. General anxiety was at the center of the structure. Morning/matinal pole, hypersomnia, and increased appetite were relatively isolated symptoms.

Conclusion

Overlapping and/or highly correlated psychiatric syndromes were prominent findings, underlining the pertinence of a dimensional approach as a substantial strategy toward a more inclusive understanding of mental disorders.

Keywords:
Syndrome
Anxiety
Affective symptoms
Classification
Dimensional diagnosis
Resumen
Introducción

Conocer la estructura sintomatológica de los trastornos mentales es relevante para su comprensión y clasificación. En América Latina no hay investigaciones previas que exploren simultáneamente la estructura de diversos tipos de sintomatologías psiquiátricas. El objetivo de este estudio es examinar la estructura de los síntomas ansiosos y afectivos, los síndromes resultantes y sus correlaciones.

Método

Varios instrumentos para evaluar síntomas ansiosos, depresivos y maníacos fueron administrados a 305 pacientes psiquiátricos ambulatorios. Usando análisis factorial y gráficos de redes basados en correlaciones policóricas entre los síntomas, se exploraron sus patrones de agrupación (síndromes). Posteriormente, se calcularon las correlaciones entre los puntajes de cada síndrome.

Resultados

El proceso de agrupación de síntomas resultó en un total de 15 síndromes generalmente superpuestos: miedo a la evaluación, miedo a la gente, agorafobia, ansiedad general, somatización, anergia, núcleo depresivo, falta de afecto positivo, dificultades cognitivas, manía, estrés postraumático/obsesiones, miedo a la locura/pérdida de control, acrofobia, irritabilidad y alteraciones del sueño. «Ansiedad general» se situó en el centro de la estructura. Los síntomas polo matutino, hipersomnia y apetito elevado se mostraron relativamente aislados.

Conclusión

La superposición y la alta correlación entre síndromes psiquiátricos fueron hallazgos prominentes que subrayan la pertinencia de un enfoque dimensional como estrategia sustancial para un entendimiento más integral de los trastornos mentales.

Palabras clave:
Síndrome
Ansiedad
Síntomas afectivos
Clasificación
Diagnóstico dimensional
Texto completo
Introduction

The publication of the third edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-III) and its subsequent versions by the American Psychiatric Association (APA), as well as the corresponding texts of the International Classification of Diseases (ICD) by the World Health Organization (WHO), represent a significant improvement of the diagnostic processes as the use of a more common language facilitates the scientific communication between mental health professionals from different parts of the world leading to a reduction of the variability in prevalence estimates from epidemiological studies.1

Nevertheless, the current mental disorder classifications have been criticized from different perspectives, reflecting a significant dissatisfaction with the descriptive and management aspects of clinically observed phenomena. Some of the main objections focus on the fact that current diagnostic categories ignore important aspects of the total set of problems experienced by the individual patient, neglecting relevant phenomenology, and not adjusting themselves to approaches substantiated by neuroscientific investigations.2,3

As examples, critics mention diagnostic categories that have been eliminated, modified, placed together, fragmented or expanded3,4 in the successive editions of the DSM5; the fact that many diagnoses show excessive heterogeneity, i.e., disorders documented by an interchangeable variety of symptom combinations whose clinical weight is considered similar; and the formulation of diagnostic criteria and categories as, essentially, products of experts’ opinions and consensus. These approaches subtly neglect the value of consistent research efforts.4

Furthermore, the description of numerous psychiatric entities appears to be vague and confused, keeping a weak association with non-specific symptoms, many of which actually overlap with those of other disorders. Many clinicians maintain that such is the case, for instance, with generalized anxiety disorder (GAD) and major depression.3 There are no clear boundaries between diagnoses and no precise distinctions between normal health states and morbid conditions of varying severity.2 This would explain the high comorbidity levels found in epidemiological studies: almost half of the individuals carrying a given psychiatric diagnosis may have, at least, an additional one.6

Two conceptions can be proposed to understand the characteristic nature of mental disorders: one that assumes a single origin of all mental pathology which, however, is expressed in particular ways in different individuals, which is consistent with the continuity between different mental disorders and a dimensional model. The other position, corresponding to the categorical model, assumes that each mental disorder is independent and has its own etiology, course, prognosis, and treatment.1

It is generally assumed that mental disorders have a categorical nature, i.e., they can be either present or absent; however, clinical evidence persuasively suggests that they are, rather, continuous or dimensional constructs, a reason for which proposals have been made to re-state the how of diagnostic processes in psychiatry, conceiving and coining, for instance, the concept of spectrum. Serious attempts have been made to substantiate this dimensional nature with a variety of empirical data.4 In fact, the U.S. National Institute of Mental Health (NIMH) proposed in 2015 the Research Domain Criteria (RDoC), a nosological system that intends to link neurobiological factors, i.e., biomarkers, with specifically different aspects of psychiatric symptomatology measured through a dimensional approach.7

Due to the relatively scarce knowledge about the ultimate physiological/causal mechanisms of mental problems (the main reason to call them disorders and not diseases),8 the classification of these entities depends, in good measure, on a careful clinical description based on syndromes of well-demonstrated validity. In 1742, Sydenham was the first who defined a syndrome as a set of interrelated signs and symptoms, showing a characteristically stable structure and a particular prognosis.3 Throughout history, and particularly in the last two centuries, psychiatrists from different parts of the world have attempted to construct psychiatric syndromes and diagnostic entities that meet these requirements.9–11 Thus, there are current statistical methods that allow the study of how the symptoms relate to each other in order to establish a structure, a process that, then, makes it possible to identify syndromes and understand their unique interrelationships. Such methodologies include the latent variable and network analysis; the latter, for instance, allows a graphic visualization of relationships, closeness and grouping of symptoms, an approach used in attempts to identify more precise psychopathological syndromes.12,13

On this basis, Wright et al.4 suggested three main psychopathological groups: psychotic experiences, internalization and externalization problems. Internalization problems would involve three types of syndromes: obsessive–compulsive, fear (related to social phobia, agoraphobia and panic), and distress, connected with panic, generalized anxiety, depression and mania. Externalization problems would include alcohol and substance use disorders. In turn, Goekoop and Goekoop,12 utilizing network analysis, proposed six main syndromes: anxiety, depression, retardation, mania, behavioral disorganization, and psychosis.

Similarly, Caspi et al.14 found three factors that explain psychiatric symptomatology: internalizing, externalizing, and thought disorder (related to psychosis); but additionally, they identified a dimension of general psychopathology that was called “p factor”, which would suggest a common origin and continuity between the different types of mental disorders.

Paulus et al.,15 suggest a hierarchical model with negative affectivity as a general factor that would explain, together with anxiety sensitivity and intolerance of uncertainty, emotional disorders such as panic, agoraphobia, social phobia, GAD, obsessive–compulsive disorder, and depression.

Kotov et al. identified, in turn, three factors within internalizing psychopathology: distress, fear, and bipolar. Distress involved depression, generalized anxiety, post-traumatic stress, irritability, and panic; fear was made up of social anxiety, agoraphobia, specific phobia and obsessive–compulsive symptomatology; and bipolarity, included mania and obsessive–compulsive symptomatology.16 In the same way, Waszczuk et al.,17 studying the internalizing factor, identified three subfactors with their respective syndromes: distress (which included cognitive depression, vegetative syndrome, post-traumatic stress and panic), fear (which involved social anxiety and phobia), and OCD/mania (made up of such components). In turn, these eight syndromes were made up by a whole of 31 dimensions.

Considering that mental health problems, such as distress, express themselves in particular ways due to the impact of different culture-related factors,18 it is relevant to study the structure of psychiatric symptomatology in Latin American countries such as Peru.

The knowledge of psychiatric symptom-based structure would contribute to improving the way of understanding and diagnosing mental health problems, with further beneficial implications for research on the treatment and prognosis of mental disorders.19

The main objective of the present study is the description of a structure built by correlations between diverse anxious and affective symptoms in psychiatric patients, aimed at the establishment of distinctions that would allow a more objective identification of clinical syndromes.

MethodDesign

This is an exploratory, cross-sectional and analytic study conducted between July 2014 and December 2015.

Participants

Male and female psychiatric outpatients between 18 and 65 years of age, with at least a complete elementary school educational level, were included. They were seen at the outpatient clinic of a general hospital in Lima, Perú, and constituted a non-probabilistic convenience sample. Patients with overt psychosis, cognitive deterioration, mental retardation, or those who had received psychiatric treatment within the last month, were excluded.

The study sample included a total of 305 patients: 215 women (70.49%) and 90 men (29.51%). Average age was 40.23 years (SD=13.82), and years of education, 11.34 (SD=3.19). 41.31% of the patients were single; 20.00%, common-law; 21.97%, married; 11.80%, separated; 2.62%, divorced; and 2.30%, widow/ers.

The most frequent diagnoses were major depressive disorder (51.15%), generalized anxiety disorder (17.05%), anxiety disorder not otherwise specified (16.39%), panic disorder (8.20%), and adjustment disorder (6.56%). Other less frequent diagnoses (<6%) were substance use, personality, social anxiety, and obsessive–compulsive disorders, and agoraphobia.

According to the Clinical Global Impression-Severity Scale (CGI-S), 60.66% of the patients showed a “moderate”, and 31.15%, “marked” levels of symptomatic severity.

Instruments

The following tools were utilized, the last three specifically for the purpose of symptom identification and assessment:

  • -

    General Data Intake Form (GDIF), used for recording of gender, age, education years, marital status, disease duration, psychiatric diagnosis, and physical diagnosis.

  • -

    CGI-S, a single-item scale, administered by a team member who, based on a systematic clinical observation, quantified the patient's condition along seven levels of severity: 1 (normal); 2 (minimal); 3 (mild); 4 (moderate); 5 (marked); 6 (severe) and 7 (extreme).20

  • -

    Depressive Psychopathology Scale-20 items (DPS-20): Instrument developed and validated in Peru, made up of 20 ordinal items that can have scores from 0 to 3, according to the intensity of each symptom, with the exception of the items of appetite (0–2), morning pole (0–2) and suicidality (0–4); it has a Cronbach alpha of 0.86, and a mean completion time of 7.22min. Its score correlates quite well with the diagnosis of major depression and the Zung Self-rating Depression Scale (ZSDS). Five factors were identified in the original study of DPS-20: “depression”, “anergia”, “uneasiness”, “insomnia” and “absence of positive affect”.21 In our sample, its McDonald's omega was 0.87.

  • -

    Additional mood-related ordinal items linked to hopelessness, vulnerability and loneliness, besides 13 other dichotomic items from the Mood Disorders Questionnaire (MDQ), used to evaluate symptoms of mania.22,23 Regarding the internal consistency of the MDQ, alpha was 0.90 in a validation study of its Spanish version,23 and McDonald's omega was 0.69 in our sample.

  • -

    Lima's Anxiety Scale, 72-item version (LAS-72): Instrument also developed in Perú, with a Cronbach Alpha of 0.96 and Rho of 0.47 (p<0.01) with the CGI-S for anxiety. Its items include symptoms of generalized anxiety and panic disorder, agoraphobia, social phobia, obsessive–compulsive and post-traumatic stress disorder.24 In our sample, the McDonald's omega was 0.96 for the total scale, and the corresponding values for the subscales were 0.83 (generalized anxiety), 0.89 (panic/physical symptoms), 0.79 (agoraphobia), 0.91 (social anxiety), and 0.72 (obsessive symptoms/post-traumatic stress).

Procedure

The research proposal was approved by the Ethics Committee of the Universidad Peruana Cayetano Heredia. Patients invited to participate were informed about the nature and objectives of the project; following their acceptance, they were asked to sign the informed consent form and fill up the initial part of the GDIF. Next, each participant responded to the mood and anxiety evaluation instruments described above. Finally, each patient was formally interviewed by the treating psychiatrist who would, then, complete the GDIF including mostly DSM-5 based diagnoses, and severity level according to the CGI-S.

Data analysis

Generation of a correlational matrix between symptoms. A matrix of polychoric correlations between each of the symptoms was built.25 This allows the study of relationships between dichotomic or ordinal variables with different number of possible values, many times asymmetrically distributed as items of many scales.

Exploration of correlations between symptoms and identification of symptom conglomerates (syndromes). For each symptom, >0.40 correlations were counted, a value that reflects, at least, a “moderate” correlation.26 Through a network graphic, elaborated on the basis of the NodeXL program, the between-symptoms correlations were visualized, beginning with the strongest ones, gradually moving toward the weakest, and finishing up with those whose value was 0.40. Thus, evidence of how the symptoms got together and conformed conglomerates (syndromes) was obtained, as was the level of correlation at which each symptom begins to merge with its corresponding syndrome. This correlation from which the symptom can be visualized in the network will be abbreviated later as Rj. A name for each syndrome was chosen on the basis of those symptoms grouped in each conglomerate. Likewise, “bridge symptoms” were identified and defined in this study as the first symptoms through which one syndrome began to connect with another.

Construction of dimensions corresponding to the identified symptom conglomerates (syndromes). An exploratory polychoric factorial analysis of items of each possible resulting syndrome was conducted, producing factorial loads (FL) of each symptom, each FL representing the degree of relationship with the syndrome to which they belong. The higher the FL, the more representative the symptom of its syndrome. A <1 eigenvalue of the second factor supports the unidimensionality of the syndrome (i.e., all the items are related to a single concept or latent variable which, in turn, would indicate that the syndrome cannot be further divided). If a given item had a FL of >0.40, its belonging to the corresponding dimension was confirmed. Next, the sum of the items from each dimension was calculated.

Evaluation of the relationships between dimensions. Polychoric correlations were calculated between the scores of each dimension, obtained in the preceding step, and the corresponding network graphic was elaborated with the NodeXL program.

ResultsCorrelations between symptoms and identification of syndromes

Tables 1–3 show the number of relevant (R>0.40) correlations of each symptom with any of the others (nRC). The nRC indicates the level of connectivity that a certain symptom has with the rest (including the symptoms of all the different syndromes), which is a measure of its degree of centrality within the entire symptomatic network. In this context, the most frequently connected symptoms were “feeling insecure, without self-confidence”, “angst/nerves on edge”, “nervousness”, “fear of losing control”, “feeling unsafe as if about to fall”, and “feeling numb or confused”. On the contrary, those with very low connection to others (no >0.40 correlations, nRC=0) were “hypersomnia”, “morning pole” and “less need to sleep”. Finally, some symptoms only had one >0.40 correlation (nRC=1): “increased appetite” (correlated with “tendency to feel anxious”), “fear to die” (correlated with “fear of something catastrophic to occur”), “excessive spending” (correlated with “acting in an unusual manner”), and “feeling more confident than usual” (correlated with “increased energy”).

Table 1.

The phobic syndromes and their corresponding symptoms.

Syndrome/symptoms  nRC  Rj  FL 
Fear of people
Discomfort in approaching and interacting with a group of people  55  0.83  0.89 
Avoid interacting with other people  53  0.83  0.85 
Discomfort of being surrounded by many people  47  0.77  0.85 
Discomfort entering or leaving a crowded place  45  0.77  0.86 
Fear of being in classrooms, conference rooms, auditoriums, or large rooms  46  0.73  0.74 
Discomfort to claim, ask for a favor, or request information  32  0.68  0.73 
Feeling insecure, without self-confidence  72  0.64  0.71 
Avoid giving your opinion, defending your own point of view, criticizing or expressing disagreement or disapproval  18  0.57  0.62 
Fear of evaluation
Fear of making a fool of yourself and feeling humiliated or embarrassed  51  0.78  0.86 
Fear of making mistakes in front of others  58  0.78  0.85 
Fear of doing things in front of people who may be watching  58  0.76  0.88 
Fear of being criticized  41  0.75  0.81 
Discomfort of being observed working, writing or walking  35  0.72  0.79 
Fear of taking exams or having a job interview  26  0.70  0.81 
Fear of being in classrooms, conference rooms, auditoriums, or large rooms  46  0.68  0.76 
Discomfort of calling or talking on the phone with someone little known, especially if there are people around  23  0.65  0.65 
Feeling insecure, without self-confidence  72  0.64  0.76 
Choppy speaking, feeling unsteady or insecure voice  46  0.63  0.63 
Feeling nervous about social situations such as parties, meetings or commitments  34  0.62  0.70 
Fear of superiors or people of authority  34  0.61  0.71 
Agoraphobia
Fear of traveling by car, especially if you have to drive or if there may be traffic jams  29  0.69  0.74 
Fear of walking down the street, especially along large avenues  38  0.69  0.83 
Fear of being in classrooms, conference rooms, auditoriums, or large rooms  46  0.68  0.83 
Discomfort when entering or leaving a crowded place  45  0.68  0.71 
Fear of queuing  32  0.67  0.77 
Fear of leaving home  31  0.66  0.80 
Fear of being alone  18  0.52  0.53 
Acrophobia
Fear of being in high places  0.73  0.80 
Fear of crossing bridges  11  0.73  0.80 

nRC=number of relevant correlations (R>0.40) with any other symptom.

Rj=correlation coefficient with which the symptom starts to be part of or joins the syndrome.

FL=polychoric factor loadings with respect to its corresponding syndrome.

Table 2.

The “anergia”, “lack of positive affect”, “depressive core”, “post-traumatic stress/obsession”, “general anxiety”, and “fear of losing control/going crazy” syndromes and their corresponding symptoms.

Syndrome/symptoms  nRC  Rj  FL 
Anergia
Tiredness, without energy  53  0.75  0.78 
Get tired easily  62  0.75  0.86 
Feeling heavy arms or legs  13  0.64  0.76 
Feeling weak, especially in the legs  35  0.64  0.79 
Paresthesia  28  0.60  0.62 
Discomfort in having sex  0.52  0.47 
Do things too slow  0.46  0.54 
Lack of positive affect
Not feeling comfortable, calm and peaceful  39  0.73  0.84 
Not feeling relaxed  45  0.73  0.73 
Not feeling good, comfortable and satisfied  34  0.71  0.78 
Losing interest in activities, not enjoying things.  28  0.64  0.75 
Mood does not improve despite something good happening or receiving good news  41  0.56  0.68 
Having no hope that problems will be solved and things will improve  10  0.51  0.64 
Do not see the future with optimism  0.51  0.60 
Not feeling pleasure or satisfaction about things  13  0.49  0.64 
Feeling numb, unable to feel affection  23  0.47  0.51 
Depressive core
Feeling alone  28  0.70  0.78 
Feeling helpless, vulnerable, or unprotected  39  0.70  0.80 
Feeling sad  40  0.65  0.82 
Feeling useless or worthless  41  0.58  0.72 
Wanting to die, hurt yourself or commit suicide  34  0.56  0.69 
Feel guilty  14  0.53  0.65 
Hypersensitivity to rejection  17  0.48  0.53 
Low appetite  0.47  0.49 
Post-traumatic stress/obsession
Memories or images of a traumatic event that generate very painful or unpleasant emotions  33  0.74  0.80 
Remembering so intensely a traumatic event that it's like it's happening again  28  0.74  0.79 
Imagine horrible events such as deaths, fires, floods, robberies  36  0.55  0.72 
Difficulty stopping having unpleasant ideas that come against the will  44  0.55  0.65 
General anxiety
Feel nervous  67  0.72  0.80 
Feeling anguished, with nerves on edge  71  0.72  0.84 
Tendency to feel anxious  50  0.67  0.69 
Feeling terrified, panicked  53  0.67  0.81 
Feeling scared, afraid  57  0.67  0.77 
Feeling fear for no reason  63  0.67  0.77 
Feeling agitated or upset  50  0.66  0.73 
Worsening of mood as the day passes, being worse at night  15  0.63  0.55 
Fear of misfortune, something terrible or catastrophic, or receiving very bad news  34  0.63  0.71 
Anguish at thinking how to prevent all risks or dangers  21  0.63  0.57 
Get scared easily or startle at unexpected noises  36  0.60  0.63 
Restlessness, agitation  36  0.59  0.69 
Difficulty to stop worrying  14  0.59  0.52 
Derealization  35  0.59  0.61 
Fear of dyinga  0.57  0.33 
Feeling restless, not being able to stay in one place, needing to move or walk  10  0.52  0.53 
Fear of losing control/going crazy
Fear of losing control  66  0.69  0.77 
Fear of going crazy  38  0.69  0.77 

nRC=number of relevant correlations (R>0.40) with any other symptom.

Rj=correlation coefficient with which the symptom starts to be part of or joins the syndrome.

FL=polychoric factor loadings with respect to its corresponding syndrome.

a

Items with factor loadings with respect to their syndrome <0.40 and that were not included in the sum to calculate the value of the corresponding dimension.

Table 3.

The “irritability”, “cognitive difficulties”, “sleep problems”, “somatic syndrome” and “mania” syndromes, and their corresponding symptoms.

Syndrome/symptoms  nRC  Rj  FL 
Irritability
Frequently feeling aggressive, with anger, rage, and hatred  40  0.66  0.77 
Feeling irritable, getting angry easily  0.66  0.78 
Get upset easily with people  12  0.58  0.68 
Irritability (mania)  10  0.47  0.57 
Cognitive difficulties
Difficulty concentrating, memory failure  35  0.66  0.72 
Easily distracted by things around you, trouble concentrating or staying alert  36  0.66  0.77 
Having doubts, not feeling sure that things have been done well, having to review or check them  22  0.57  0.68 
Difficulty thinking or concentrating  23  0.56  0.72 
Difficulty facing problems  48  0.56  0.64 
Difficulty making decisions  38  0.53  0.67 
Feeling lightheaded or confused  65  0.49  0.69 
Sleep problems
Trouble sleeping  0.64  0.82 
Waking up too early  0.64  0.71 
Sleep bad  19  0.61  0.69 
Somatic
Palpitations, feeling your heart beating fast or hard  44  0.72  0.77 
Feeling short of breath or choking  49  0.72  0.77 
Chest pressure or pain  36  0.70  0.75 
Feeling like you might faint  40  0.62  0.76 
Shaking chills  46  0.58  0.77 
Cold or wet hands or feet  26  0.58  0.63 
Paresthesia  28  0.58  0.63 
Tremors, shaking  44  0.58  0.69 
Feeling insecure, like you’re going to fall  65  0.57  0.70 
Dry mouth  28  0.54  0.68 
Frequent sighs  35  0.52  0.64 
Digestive discomfort  0.52  0.56 
Mania
Having much more energy than usual  0.75  0.72 
Being much more active, doing more things than usual  0.75  0.72 
Being more talkative or speaking faster than usual  0.64  0.78 
More social activity than usual, going out more from home, calling by phone late at night  0.56  0.65 
Being much more interested in sex than usual  0.52  0.64 
Doing things out of the ordinary or that others consider exaggerated, silly or risky  14  0.46  0.70 
Being so irritable that you have yelled at people or started fights or arguments  10  0.46  0.47 
Spending money in a way that causes problems for yourself or your family  0.45  0.47 
Concentration problems (mania)a  36  0.43  0.23 
Feeling overly good or fast (judging others or getting into trouble because of it)a  0.43  0.35 
Feeling more confident than usuala  0.41  0.31 
Fast thinkinga  13  0.40  0.23 

nRC=number of relevant correlations (R>0.40) with any other symptom.

Rj=correlation coefficient with which the symptom starts to be part of or joins the syndrome.

FL=polychoric factor loadings with respect to its corresponding syndrome.

a

Items with factor loadings with respect to their syndrome <0.40 and that were not included in the sum to calculate the value of the corresponding dimension.

The same tables (1–3) also show the results of the sequence of largest to smallest correlation coefficients between the different symptoms. The resulting syndromes are presented with their corresponding symptoms, pointing out the correlation coefficient with which each symptom starts to be part of or joins the syndrome (Rj). The first group of symptoms with the highest Rj, are those belonging to social anxiety, beginning with “fear of people” (R of the first pair of linked symptoms, first Rj or fRj=0.83), and followed by “fear of the evaluation” (fRj=0.78). Beyond them, other syndromes include “anergia” (fRj=0.75), “mania” (fRj=0.75), “posttraumatic stress/obsessive” (fRj=0.74), “lack of positive affect” (fRj=0.73), “acrophobia” (fRj=0.73), “somatic syndrome” (fRj=0.72), “general anxiety” (fRj=0.72), “depressive core” (fRj=0.70), “agoraphobia” (fRj=0.69), “fear of losing control/getting crazy” (fRj=0.69), “irritability” (fRj=0.66), “cognitive difficulties” (fRj=0.66), and “sleep problems” (fRj=0.64).

It is clear that, as the threshold of R diminishes, more symptoms are added. Additional observations in connection with the R values include:

  • R=0.68: The syndromes “fear of people”, “fear of evaluation”, and “agoraphobia” join each other with “fear of being in classrooms, lecture spaces, auditoria or large rooms” as an important bridge-symptom in this connection. In turn, the “somatic” syndrome joins the “general anxiety” syndrome, with “feeling terrorized, panicky” as the bridge-symptom.

  • R=0.64: “Anergia” symptoms join those of “lack of positive affect” and “fear of losing control/getting crazy”.

  • R=0.63: Symptoms of social phobia start to relate with those of “general anxiety” through the symptom “feeling insecure, without self-confidence”. “General anxiety” starts to fuse with “lack of positive affect” by means of the symptom “nervousness”, and with “fear of losing control/getting crazy” through the symptom “fear without a cause”.

  • R=0.61: “Posttraumatic stress/obsessions” joins in with “general anxiety”; and the “depressive core” with “feeling insecure, without self-confidence” a symptom that is also connected to the syndromes “fear of people”, “fear of the evaluation” and “general anxiety”.

  • R=0.58: The syndrome “anergia” starts to relate to the “somatic” syndrome through the bridge-symptom “paresthesias”.

  • R=0.57: “Acrophobia” starts to connect with “agoraphobia”.

The syndromes “irritability”, “cognitive difficulties” and “sleep problems” are not closely related to any of the others, so they will be considered as different, outside dimensions.

Verification and depuration of syndromes or dimensions

Tables 1–3 show the polychoric factorial loads (FL) of each syndrome's symptoms, confirming the structure identified and described above for “fear of people”, “fear of evaluation”, “anergia”, “posttraumatic stress/obsessions”, “lack of positive affect”, “acrophobia”, “somatic syndrome”, “depressive core”, “agoraphobia”, “fear of losing control/getting crazy”, “irritability”, “cognitive difficulties” and “sleep problems”. All the symptoms of each of these syndromes had FL of >0.40; likewise, the eigenvalue of the second factor of each of these syndromes was <1, which suggests unidimensionality. However, the syndrome “mania” had four symptoms with <0.40 FL, and in the “general anxiety” syndrome, the factorial load of “fear of dying” was 0.33. The symptoms with low FL were not included in the summation of items for the calculations of values of the corresponding dimensions. The total number of dimensions thus formed was 15.

Correlations between dimensions

A matrix of polychoric correlations between the 15 dimensions was generated (Table 4). Fig. 1 shows the correlations with values above 0.60. It can be seen that “general anxiety” is at the center of the network and has strong correlations with most of the other syndromes. Similarly, there is evidence of close correlations between: (1) Social phobia-related syndromes (“fear of people” and “fear of evaluation”) and “agoraphobia”; (2) “Depressive core” and “lack of positive affect”; (3) Somatic symptomatology and “anergia”; and (4) Symptoms of “posttraumatic stress/obsessions” and “fear of losing control/getting crazy”. Finally, “cognitive difficulties” correlate with “general anxiety”, “fear of the evaluation” and “depressive core”.

Table 4.

Matrix of polychoric correlations between the identified dimensions.

  peopl  eval  anergia  mania  acroph  somat  ganx  coredep  positive  agoraph  irrit  sleep  cognit  trau-obs 
eval  0.81                           
anergia  0.49  0.49                         
mania  0.14  0.23  0.15                       
acroph  0.23  0.30  0.28  −0.04                     
somat  0.56  0.59  0.64  0.13  0.35                   
ganx  0.64  0.65  0.60  0.23  0.37  0.72                 
coredep  0.54  0.50  0.57  0.11  0.21  0.54  0.67               
positive  0.58  0.48  0.51  0.11  0.16  0.52  0.60  0.64             
agoraph  0.74  0.70  0.48  0.10  0.37  0.57  0.60  0.42  0.44           
irrit  0.44  0.40  0.44  0.26  0.15  0.39  0.54  0.58  0.50  0.37         
sleep  0.26  0.28  0.52  0.13  0.25  0.50  0.49  0.50  0.45  0.32  0.28       
cognit  0.59  0.62  0.57  0.18  0.18  0.58  0.69  0.60  0.58  0.44  0.47  0.38     
trau-obs  0.48  0.53  0.43  0.10  0.37  0.55  0.61  0.49  0.48  0.49  0.42  0.42  0.44   
mad-cntl  0.58  0.56  0.42  0.12  0.34  0.59  0.65  0.57  0.45  0.59  0.44  0.34  0.51  0.60 

Abbreviations: peopl=“fear of people”, eval=“fear of evaluation”, anergia=“anergia”, mania=“mania”, acroph=“acrophobia”, somat=“somatic syndrome”, ganx=“general anxiety”, coredep=“depressive core”, positive=“lack of positive affect”, agoraph=“agoraphobia”, irrit=“irritability”, sleep=“sleep problems”, cognit=“cognitive problems”, trau-obs=“post-traumatic stress/obsession”, mad-cntl=“fear of losing control/going crazy”.

Fig. 1.

Polychoric correlations between syndromes (multiplied by 100). Abbreviations: peopl=“fear of people”, eval=“fear of evaluation”, anergia=“anergia”, somat=“somatic syndrome”, ganx=“general anxiety”, coredep=“depressive core”, positive=“lack of positive affect”, agoraph=“agoraphobia”, cognit=“cognitive problems”, trau-obs=“post-traumatic stress/obsession”, mad-cntl=“fear of losing control/going crazy”.

Discussion

The main findings of the study are: (a) a great correlation between symptoms of various syndromes that generates an overlap and absence of clear limits among the latter; (b) the identification and description of 15 psychiatric syndromes and their own correlations: (1) general anxiety; (2) fear of evaluation; (3) fear of people; (4) agoraphobia; (5) somatic syndrome; (6) depressive core; (7) anergia; (8) lack of positive affect; (9) mania; (10) irritability; (11) cognitive difficulties; (12) sleep problems or disruptions; (13) acrophobia; (14) posttraumatic stress/obsessions; and (15) fear of losing control or “getting crazy”; and (c) the existence of some symptoms isolated from the rest of the syndromes.

The findings can be discussed in the context of other studies that, through various methods, describe how psychiatric symptoms are grouped together to form syndromes. Such methods include principal component analysis, factor analysis, and recently network analysis.12 The dimensions of the psychometric scales, which will be commented on later, are the result of a factorial analysis of their items, thus providing information on the grouping of symptoms.

The overlap between the different syndromes is consistent with the proposal of one general psychopathology factor (p factor) that would be predisposing to the various types of psychiatric symptomatologies,14 and explains the vast comorbidity found among a good number of mental disorders.6

General anxiety, which includes symptoms such as nervousness, anguish, preoccupations, restlessness and scaring sensations, seems to be at the center of the symptomatology, strongly correlating with the majority of the other syndromes, particularly somatic syndrome, cognitive difficulties, and the depressive core. A symptom also included in such group is mood worsening as the day goes on (vespertine or evening pole). It is worth mentioning, however, that, in a study based on the Comprehensive Psychopathological Rating Scale (CPRS) items, the syndrome at the center of the psychopathology network was depression.12

The current concept of depression, represented by major depression in DSM-55 or depressive episode in ICD-10,27 corresponds with the “depressive core”, “lack of positive affect” and “anergia” syndromes, dimensions also found in studies on the factorial structure of a variety of psychometric scales.

The “depressive core”, characterized by sadness, suicidal tendencies, worthlessness ideas, guilt, feelings of loneliness and vulnerability, has a close relation with the “depression” factor of the Hamilton Rating Scale for Depression (HRSD),28 the Four-Dimensional Symptom Questionnaire (4DSQ)29 and the DPS-2021; similarly, with the “negative attitude toward oneself” dimension of the Beck Depression Inventory (BDI),28 the “depressive affect” of the Center for Epidemiological Studies Depression Scale (CES-D),28 the “negative affect” of the ZSDS,28 the “affective/cognitive” dimension of the Inventory for Depressive Symptomatology (IDS),30 and with the conglomerate “depression” based on a network analysis of symptoms of the CPRS.12

“Lack of positive affect”, that includes symptoms such as loss of interest, anhedonia and lack of mood reactivity, is also present in the similarly named dimension of the CES-D,28 ZSDS,28 DPS-2021 and Mood and Anxiety Symptom Questionnaire (MASQ).31

The “anergia” syndrome, characterized by fatigue, tiredness, heaviness in the extremities, slowness and problems in sexual relations, corresponds with the same-named dimension of the DPS-20.21 Symptoms of anergia are also present in the “performance impairment” factor of the BDI28 and the “somatic” factor of CES-D.28 The symptoms of the “depressive core”, “lack of positive affect”, and “anergia” syndromes are included in the “depression” dimension of the Symptom Checklist 90-R (SCL-90-R).32

Another important syndrome is the “somatic” one (that some clinicians would call “somatization”), which includes cardio-respiratory symptoms, fainting or falling sensations, chills, tremors, paresthesia, cold and humid hands or feet, dry mouth and digestive discomfort, and is precisely represented in the “somatization” dimension of SCL-90-R32 and 4DSQ,29 the “somatic anxiety” factor of MASQ,31 and the conglomerate “anxiety” of the CPRS.12 The same “somatic” syndrome is closely correlated with “anergia”, “general anxiety” and “fear of losing control/getting crazy”. The symptoms usually considered part of the so-called “panic attack” are also found in the “somatic”, “fear of losing control/getting crazy” and “general anxiety” syndromes. In turn, the strong relationship between anergia and somatic symptoms is supported by network analysis studies33 and factorial analysis of scales such as the MASQ.31

Fig. 1 shows a close connection between “somatic syndrome” and “general anxiety”, and between the latter and the “depressive core”; the depression-anxiety-somatic symptoms continuum has also been observed in the symptomatic networks detected by Goekoop and Goekoop,12 Bekhuis et al.,33 and van Borkulo et al.34

In this study, symptoms belonging to the “irritability”, “cognitive difficulties” and “sleep problems” syndromes, usually considered part of the conceptualizations of depression and anxiety, are not sufficiently correlated to be included within the “depressive core”, “general anxiety” or another similar syndrome. Such is the case of the dimension “hostility” of the SCL-90-R32 which corresponds with the “irritability” syndrome identified here. Likewise, in the Interview for Mood and Anxiety Symptoms, irritability symptomatology constitutes an independent subscale and is not part of other subscales such as “generalized anxiety”, “depression” or “mania”.16 On the other hand, in the IDS, symptoms related to sleep disturbances are not included in factors such as the affective/cognitive or the anxious/somatic, but constitute a distinct dimension.30,35 The same occurs with the HRSD that has the “insomnia” dimension independent of the depressive, anxious and somatic factors.28

On their side, symptoms belonging to the “cognitive difficulties” syndrome identified in this study, are included in various dimensions from different scales such as the “affective/cognitive” of IDS,30 “somatic” dimension of CES-D,28 “lack of positive affect” of ZSDS,28 “somatic anxiety” of MASQ 31 and “obsessions and compulsions” of SCL-90.32

The “posttraumatic stress/obsessions” syndrome, closely related to “general anxiety” and “fear of losing control/getting crazy”, suggests a similarity between obsessive–compulsive and posttraumatic stress disorders as both present clearly intrusive ideas. Other studies also support the link between these disorders.36

The concept of “distress” includes most of the previously mentioned syndromes. For instance, the “distress” dimension of the 4DSQ involves symptoms that correspond to “general anxiety”, “sleep disturbances”, “anergia”, “irritability” and “cognitive difficulties”.29 The Kessler Psychological Distress Scale (K10) has items representative of various syndromes: “anergia” (tiredness, feeling that everything is a great effort), “general anxiety” (nervousness, restlessness), “depressive core” (depressive feelings, sadness, sense of handicapping), and “lack of positive affect” (hopelessness).37

In the network graphic, three closely correlated syndromes can be observed: “agoraphobia”, “fear of people” and “fear of evaluation”, the last two corresponding to the concept of social phobia. Comorbidity studies also show a strong association between social anxiety and agoraphobia.6,38 By the same token, agoraphobia and social phobia belong to the so-called fear/phobic disorders.4,39 Finally, distress and phobias are found within the internalization disorders group.4,39

Mania is the most differentiated syndrome within the symptomatology, i.e., shows little correlation with the rest, and its existence is supported by several studies.12,40 The manic syndrome identified in the present study corresponds, in general, to the manic or hypomanic episodes described in the DSM-5,5 with increased levels of energy and general activity plus excessive verbosity as the most noticeable symptoms.

The most consistent finding of this study is that a given psychiatric symptom shows correlations with many others, so it is important to pay attention to those that do not. For instance, hypersomnia is scarcely related to any other symptom, a feature that coincides with those of other investigations that do not find it linked to depression or other psychiatric syndromes or dimensions.12,21,30,33–35,41,42 Similarly, increased appetite had an important connection only with the item “feeling anxious”, but showed irrelevant relationships with depressive symptoms including hypersomnia, considered, like hyperphagia, a reversed vegetative symptom.41,42 This finding differs from DSM-5 which postulates hypersomnia and increased appetite as diagnostic criteria of major depressive disorder, and the specifier “with atypical features” in depressive disorders.5

The matutine (or early morning) pole, part of the “with melancholic features” specifier in depressive disorders, did not have significant links with the remaining psychiatric symptomatologies, a finding that coincides with low factorial loads in dimensions of depression scales such as IDS,30,35 ZSDS28 and DPS-20.21

The results of this study provide information on the organization and clinical relevance of psychiatric symptoms, which has nosological importance and can be taken into account in the construction of psychometric scales. For example, in the case of depressive syndrome, some symptoms such as the feeling of loneliness and vulnerability stand out due to their relevance, whereas others such as hypersomnia, increased appetite and morning pole perhaps should not be considered part of the syndrome or it might be necessary to improve the way they are evaluated.

The present study explores syndromes on the basis of diverse types of symptoms (belonging to mania, depression, generalized anxiety, somatization, panic disorder, agoraphobia, social phobia, obsessive–compulsive and posttraumatic stress disorders), involving all spectrum of internalizing symptomatology. The literature review shows no similar studies in Latin America. In terms of limitations, however, it does not include psychotic or catatonic symptoms nor those reflecting significant cognitive deterioration. Likewise, the sample has few patients with actual diagnosis of obsessive–compulsive disorder, and none with active mania or posttraumatic stress disorder, limitations that may have impeded to adequately identify their corresponding syndromes or their relationships with others. This could explain the low correlation found between symptoms of the “mania” syndrome, as well as the fusion of posttraumatic stress symptoms with obsessions. Furthermore, the symptomatology was evaluated on the basis of self-administered items and not through a clinical interview which would have allowed an in-depth exploration of the patient's phenomenology. Finally, the sample had a majority of female patients, which makes a different syndromic structure possible if and when compared with a male sample of similar size.

The structure of psychiatric syndromes can be affected by distinctive cultural features, for example, in Asia, a network analysis study showed that the symptomatological configuration of depression is different in patients of different geographic or ethnic origin.43 Similarly, there could be differences in the structure of the syndromes between Peruvian patients and those from other Latin American countries or from other continents throughout the world. In such context, the structural analysis of syndromes linked to Peruvian culture, such as “susto” (fright), “daño” (curse), “mal de ojo” (evil eye), “aire” (air) and “chucaque” (some kind of headache or pain),44 could help to understand whether they are independent entities or, on the contrary, particular manifestations of common mental health problems.

Future research could include a larger number of participants, particularly more patients with symptoms of PTSD, OCD and mania; and an assessment of symptoms through a well-delineated clinical interview. Likewise, the internal structure of the network of each identified syndrome could be analyzed in more detail.

Conclusions

The results of this study suggest the existence of 15 psychiatric syndromes with continuity or superposition between and among them. This reinforces the need of a dimensional approach to the diagnosis of mental disorders in order to reach a thorough comprehensive assessment of complex clinical conditions. The identification of the most representative and relevant symptoms of each syndrome can be subject of future research projects focused on the elaboration of more inclusive clinical psychometric instruments.

Conflicts of interest

The authors declare that they have no conflicts of interest.

Funding

Research Support Fund of the Universidad Peruana Cayetano Heredia (Lima, Perú). Code: 20205072027.

Acknowledgements

We appreciate the collaboration of the doctors Luis Fiestas, Antonio Lozano, Alfredo Valencia, Adelguisa Mormontoy, Gabriela Gonzales, Lubeth Masías, and Martín Arévalo.

References
[1]
R. Kotov, R.F. Krueger, D. Watson, T.M. Achenbach, R.R. Althoff, R.M. Bagby, et al.
The Hierarchical Taxonomy of Psychopathology (HiTOP): a dimensional alternative to traditional nosologies.
J Abnorm Psychol, 126 (2017), pp. 454-477
[2]
R.M. Nesse, D.J. Stein.
Towards a genuinely medical model for psychiatric nosology.
[3]
C. Faravelli, G. Castellini, M. Landi, A. Brugnera.
Are psychiatric diagnoses an obstacle for research and practice? Reliability, validity and the problem of psychiatric diagnoses. The case of GAD.
Clin Pract Epidemiol Ment Health, 8 (2012), pp. 12-15
[4]
A.G.C. Wright, R.F. Krueger, M.J. Hobbs, K.E. Markon, N.R. Eaton, T. Slade.
The structure of psychopathology: toward an expanded quantitative empirical model.
J Abnorm Psychol, 122 (2013), pp. 281-294
[5]
American Psychiatric Association.
Diagnostic and statistical manual of mental disorders.
5th ed., American Psychiatric Association, (2013),
[6]
R.C. Kessler, W.T. Chiu, O. Demler, K.R. Merikangas, E.E. Walters.
Prevalence, severity, and comorbidity of 12-month DSM-IV disorders in the National Comorbidity Survey Replication.
Arch Gen Psychiatry, 62 (2005), pp. 617-627
[7]
B.N. Cuthbert.
Research domain criteria: toward future psychiatric nosologies.
Dialogues Clin Neurosci, 17 (2015), pp. 89-97
[8]
N. Sartorius.
Why do we need a diagnosis? Maybe a syndrome is enough?.
Dialogues Clin Neurosci, 17 (2015), pp. 6-7
[9]
K.S. Kendler.
An historical framework for psychiatric nosology.
Psychol Med, 39 (2009), pp. 1935-1941
[10]
E. Shorter.
The history of nosology and the rise of the diagnostic and statistical manual of mental disorders.
Dialogues Clin Neurosci, 17 (2015), pp. 59-67
[11]
M.R. Jorge, J.E. Mezzich.
Latin American contributions to psychiatric nosology and classification.
Psychiatric diagnosis,
[12]
R. Goekoop, J.G. Goekoop.
A network view on psychiatric disorders: network clusters of symptoms as elementary syndromes of psychopathology.
[13]
D. Borsboom, A.O.J. Cramer.
Network analysis: an integrative approach to the structure of psychopathology.
Annu Rev Clin Psychol, 9 (2013), pp. 91-121
[14]
A. Caspi, R.M. Houts, D.W. Belsky, S.J. Goldman-Mellor, H. Harrington, S. Israel, et al.
The p factor: one general psychopathology factor in the structure of psychiatric disorders?.
Clin Psychol Sci, 2 (2014), pp. 119-137
[15]
D.J. Paulus, A.M. Talkovsky, L.F. Heggeness, P.J. Norton.
Beyond negative affectivity: a hierarchical model of global and transdiagnostic vulnerabilities for emotional disorders.
Cogn Behav Ther, 44 (2015), pp. 389-405
[16]
R. Kotov, G. Perlman, W. Gámez, D. Watson.
The structure and short-term stability of the emotional disorders: a dimensional approach.
Psychol Med, 45 (2015), pp. 1687-1698
[17]
M.A. Waszczuk, R. Kotov, C. Ruggero, W. Gamez, D. Watson.
Hierarchical structure of emotional disorders: from individual symptoms to the spectrum.
J Abnorm Psychol, 126 (2017), pp. 613-634
[18]
A. Campo-Arias, E. Herazo, M. Reyes-Rojas.
Cultural psychiatry: beyond DSM-5.
Rev Colomb Psiquiatr, 50 (2021), pp. 138-145
[19]
D. Borsboom.
A network theory of mental disorders.
World Psychiatry, 16 (2017), pp. 5-13
[20]
Guy W. Clinical Global Impressions (CGI) Scale. In: Rush JA; Task force for the Handbook of psychiatric measures Handbook of psychiatric measures, editors. Washington, DC: American Psychiatric Association; 2000.
[21]
J.M. Vega-Dienstmaier, S. Stucchi-Portocarrero, N. Valdez-Huarcaya, M. Cabra-Bravo, M.I. Zapata-Vega.
The Depressive Psychopathology Scale: presentation and initial validation in a sample of Peruvian psychiatric patients.
Rev Panam Salud Publica, 30 (2011), pp. 317-326
[22]
R. Corona, C. Berlanga, D. Gutiérrez-Mora, A. Fresán.
La detección de casos de trastorno bipolar por medio de un instrumento de tamizaje: El Cuestionario de Trastornos del Ánimo versión en español.
Salud Ment, 30 (2007), pp. 50-57
[23]
J. Sanchez-Moreno, J.M. Villagran, J.R. Gutierrez, M. Camacho, S. Ocio, D. Palao, et al.
Adaptation and validation of the Spanish version of the Mood Disorder Questionnaire for the detection of bipolar disorder.
Bipolar Disord, 10 (2008), pp. 400-412
[24]
A. Lozano-Vargas, J. Vega-Dienstmaier.
Evaluación psicométrica y desarrollo de una versión reducida de la nueva escala de ansiedad en una muestra hospitalaria de Lima, Perú.
Rev Peru Med Exp Salud Publica, 30 (2013), pp. 212-219
[25]
A. Freiberg Hoffmann, J.B. Stover, G. De la Iglesia, M. Fernández Liporace.
Correlaciones policóricas y tetracóricas en estudios factoriales exploratorios y confirmatorios.
Ciencias Psicológicas, 7 (2013), pp. 151-164
[26]
J.D. Evans.
Straightforward statistics for the behavioral sciences.
Brooks/Cole, (1996),
[27]
World Health Organization.
The ICD-10 Classification of Mental and Behavioural Disorders. Diagnostic criteria for research.
World Health Organization, (1993),
[28]
A.B. Shafer.
Meta-analysis of the factor structures of four depression questionnaires: Beck, CES-D, Hamilton, and Zung.
J Clin Psychol, 62 (2006), pp. 123-146
[29]
B. Terluin, N. Smits, B. Miedema.
The English version of the four-dimensional symptom questionnaire (4DSQ) measures the same as the original Dutch questionnaire: a validation study.
Eur J Gen Pract, 20 (2014), pp. 320-326
[30]
K.J. Wardenaar, T. van Veen, E.J. Giltay, M. den Hollander-Gijsman, B.W.J.H. Penninx, F.G. Zitman.
The structure and dimensionality of the Inventory of Depressive Symptomatology Self Report (IDS-SR) in patients with depressive disorders and healthy controls.
J Affect Disord, 125 (2010), pp. 146-154
[31]
E. Keogh, J. Reidy.
Exploring the factor structure of the Mood and Anxiety Symptom Questionnaire (MASQ).
J Pers Assess, 74 (2000), pp. 106-125
[32]
U. Prinz, D.O. Nutzinger, H. Schulz, F. Petermann, C. Braukhaus, S. Andreas.
Comparative psychometric analyses of the SCL-90-R and its short versions in patients with affective disorders.
BMC Psychiatry, 13 (2013), pp. 104
[33]
E. Bekhuis, R.A. Schoevers, C.D. van Borkulo, J.G.M. Rosmalen, L. Boschloo.
The network structure of depressive, anxiety and somatic symptoms.
J Psychosom Res, 85 (2016), pp. 55
[34]
C.D. van Borkulo, D. Borsboom, S. Epskamp, T.F. Blanken, L. Boschloo, R.A. Schoevers, et al.
A new method for constructing networks from binary data.
Sci Rep, 4 (2014), pp. 5918
[35]
A.J. Rush, C.M. Gullion, M.R. Basco, R.B. Jarrett, M.H. Trivedi.
The Inventory of Depressive Symptomatology (IDS): psychometric properties.
Psychol Med, 26 (1996), pp. 477-486
[36]
K.L. Dykshoorn.
Trauma-related obsessive–compulsive disorder: a review.
Health Psychol Behav Med, 2 (2014), pp. 517-528
[37]
G. Andrews, T. Slade.
Interpreting scores on the Kessler Psychological Distress Scale (K10).
Aust N Z J Public Health, 25 (2001), pp. 494-497
[38]
C. Acarturk, R. de Graaf, A. van Straten, M.T. Have, P. Cuijpers.
Social phobia and number of social fears, and their association with comorbidity, health-related quality of life and help seeking: a population-based study.
Soc Psychiatry Psychiatr Epidemiol, 43 (2008), pp. 273-279
[39]
R.F. Krueger.
The structure of common mental disorders.
Arch Gen Psychiatry, 56 (1999), pp. 921-926
[40]
B.S. Everitt, A.J. Gourlay, R.E. Kendell.
An attempt at validation of traditional psychiatric syndromes by cluster analysis.
Br J Psychiatry, 119 (1971), pp. 399-412
[41]
Y. Li, S. Aggen, S. Shi, J. Gao, Y. Li, M. Tao, et al.
The structure of the symptoms of major depression: exploratory and confirmatory factor analysis in depressed Han Chinese women.
Psychol Med, 44 (2014), pp. 1391-1401
[42]
J.M. Vega-Dienstmaier.
Estructura de la sintomatología depresiva en una muestra de mujeres con menos de un año postparto.
Rev Neuropsiquiatr, 78 (2015), pp. 221-231
[43]
S.-C. Park, E.Y. Jang, Y.-T. Xiang, S. Kanba, T.A. Kato, M.-Y. Chong, et al.
Network analysis of the depressive symptom profiles in Asian patients with depressive disorders: findings from the Research on Asian Psychotropic Prescription Patterns for Antidepressants (REAP-AD).
Psychiatry Clin Neurosci, 74 (2020), pp. 344-353
[44]
E. Bernal García.
Síndromes folklóricos en cuatro ciudades de la sierra del Perú: Prevalencia de vida, asociación con tres síndromes psiquiátricos y sistemas de atención.
Anales de Salud Mental, 26 (2010), pp. 39-48

This article is based on the main author's master's thesis: Vega Dienstmaier JM. Estructura de los síndromes afectivos y ansiosos en pacientes psiquiátricos ambulatorios de un hospital general. Alarcón Guzmán RD, Samalvides Cuba F, asesores. Maestría en Epidemiología Clínica, Universidad Peruana Cayetano Heredia; 2017.

Copyright © 2022. Asociación Colombiana de Psiquiatría
Descargar PDF
Opciones de artículo
Herramientas