Using self-report RDoC measures to identify transdiagnostic translational targets for perinatal affective disorders

SYNOPSISThis study investigates the effects of assigned diagnostic labels, with their accompanying predictions of therapeutic response, and prescribed psychotropic drugs. It was thought that such ‘labelling’ effects might be important in ambiguous situations, such as neurotic anxiety–depressive states, where diagnoses of ‘reactive depression’ or ‘anxiety state’ might justifiably be made and treatment with either diazepam or nortripyline legitimately given. The depression label and its concomitant two-weekly prediction of improvement with antidepressants produced a set towards slower response with higher self-report depression. Nortriptyline produced significantly more improvement in self-report depression than diazepam in the first 2 weeks of treatment. No significant interaction effects were detected between diagnosis or drug. One month after the initial diagnostic evaluation there were no significant effects from either diagnostic label or drug.

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Motivations for Emotions in Bipolar Disorder

Clinical Psychological Science ◽

10.1177/2167702620979583 ◽

2021 ◽

pp. 216770262097958

Author(s):

Yael Millgram ◽

June Gruber ◽

Cynthia M. Villanueva ◽

Anna Rapoport ◽

Maya Tamir

Keyword(s):

Bipolar Disorder ◽

Recent Work ◽

Affective Disorders ◽

Self Report ◽

Emotional Instability ◽

Behavioral Measures ◽

Increased Risk ◽

Self Reports ◽

Similarities And Differences

Recent work has begun to examine the link between motivation for specific emotions and psychopathology. Yet research on this topic to date has focused primarily on depression. To understand patterns of motivation for emotions within and across affective disorders, we assessed motivation for emotions in adults at increased risk for and diagnosed with bipolar disorder (BD). We focused on motivation for negative (i.e., sadness) and positive (i.e., happiness) emotions and for emotional instability using self-report and behavioral measures. Both increased BD risk and diagnosis of BD were associated with increased motivation for sadness and decreased motivation for happiness as assessed by behavioral measures. Such motivational tendencies were less consistent when assessed by self-reports. Higher BD risk was associated with increased self-reported motivation for emotional instability (Studies 1–3), although this association was not evident in BD (Study 4). Findings suggest both similarities and differences in motivation for emotions in affective disorders.

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Repeated Digitized Assessment of Risk and Symptom Profiles During Inpatient Treatment of Affective Disorder: Observational Study

JMIR Mental Health ◽

10.2196/24066 ◽

2020 ◽

Vol 7 (12) ◽

pp. e24066

Author(s):

Maike Frederike Richter ◽

Michael Storck ◽

Rogério Blitz ◽

Janik Goltermann ◽

Juliana Seipp ◽

...

Keyword(s):

Affective Disorder ◽

Affective Disorders ◽

Inpatient Treatment ◽

Data Entry ◽

Self Report ◽

Individual Risk ◽

Depression Severity ◽

Symptom Profiles ◽

Longitudinal Data Collection ◽

Digital Collection

Background Predictive models have revealed promising results for the individual prognosis of treatment response and relapse risk as well as for differential diagnosis in affective disorders. Yet, in order to translate personalized predictive modeling from research contexts to psychiatric clinical routine, standardized collection of information of sufficient detail and temporal resolution in day-to-day clinical care is needed. Digital collection of self-report measures by patients is a time- and cost-efficient approach to gain such data throughout treatment. Objective The objective of this study was to investigate whether patients with severe affective disorders were willing and able to participate in such efforts, whether the feasibility of such systems might vary depending on individual patient characteristics, and if digitally acquired assessments were of sufficient diagnostic validity. Methods We implemented a system for longitudinal digital collection of risk and symptom profiles based on repeated self-reports via tablet computers throughout inpatient treatment of affective disorders at the Department of Psychiatry at the University of Münster. Tablet-handling competency and the speed of data entry were assessed. Depression severity was additionally assessed by a clinical interviewer at baseline and before discharge. Results Of 364 affective disorder patients who were approached, 242 (66.5%) participated in the study; 88.8% of participants (215/242) were diagnosed with major depressive disorder, and 27 (11.2%) had bipolar disorder. During the duration of inpatient treatment, 79% of expected assessments were completed, with an average of 4 completed assessments per participant; 4 participants (4/242, 1.6%) dropped out of the study prematurely. During data entry, 89.3% of participants (216/242) did not require additional support. Needing support with tablet handling and slower data entry pace were predicted by older age, whereas depression severity at baseline did not influence these measures. Patient self-reporting of depression severity showed high agreement with standardized external assessments by a clinical interviewer. Conclusions Our results indicate that digital collection of self-report measures is a feasible, accessible, and valid method for longitudinal data collection in psychiatric routine, which will eventually facilitate the identification of individual risk and resilience factors for affective disorders and pave the way toward personalized psychiatric care.

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Evaluating the CANSAS self-report (CANSAS-P) as a screening instrument for care needs in people with psychotic and affective disorders

Psychiatry Research ◽

10.1016/j.psychres.2011.05.013 ◽

2011 ◽

Vol 188 (3) ◽

pp. 456-458 ◽

Cited By ~ 6

Author(s):

Lian van der Krieke ◽

Sjoerd Sytema ◽

Durk Wiersma ◽

Hanneke Tielen ◽

Albert M. van Hemert

Keyword(s):

Affective Disorders ◽

Screening Instrument ◽

Self Report ◽

Care Needs

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Depressive Symptoms and Emotion in Adolescence: A Developmental-Functionalist View

European Psychiatry ◽

10.1016/s0924-9338(09)70853-3 ◽

2009 ◽

Vol 24 (S1) ◽

pp. 1-1 ◽

Cited By ~ 3

Author(s):

V. Bréjard ◽

A. Bonnet ◽

J.-L. Pedinielli

Keyword(s):

Depressive Symptoms ◽

Affective Disorders ◽

Depression Scale ◽

Skills Training ◽

Emotional Awareness ◽

Self Report ◽

List Type ◽

Emotional Intensity ◽

Adolescent Depressive Symptoms ◽

High Level

Adolescent depressive symptoms are recognized as having number of consequences on academic and social achievement (Glied & Pine, 2002). Many studies highlighted the specific implication of emotion regulation deficits to explain depression or affective disorders (Garnefski & Kraaij, 2006). Despite these findings, little studies focused on the relations between emotional deficits (such as low emotional awareness) and subjective emotional intensity in adolescent depressive symptoms. The aim of this study was to examine the relationships between emotion awareness as defined by Lane & Schwartz (1987), subjective emotional intensity, and depressive symptoms. We hypothesized that lack of emotional awareness associated to strong emotional intensity may explain depressive symptoms among adolescents.448 adolescents (age: 15.54 years 0.66) were administered the following self report questionnaires:•The Level of Emotional Awareness Scale (Lane & al. 1990).•The Differential Emotion Scale (Izard & al. 1991).•The Centre for Epidemiological Study Depression scale (Radloff, 1977).Statistical analysis shows significant negative correlations between emotional awareness and depression(r=-.23, p=.004), and positive correlations between subjective emotional intensity and depression r=.44, p< .0001). Moreover, multiple regressions revealed that level of emotional awareness (t= -4,75, β= -.20., p< .0001) and emotional intensity (t= 9,71, β=.41, p< .0001) were each related to depression in a significant model (R2=.25, F=48,01, p< .001). Lack of emotional awareness may lead to high level of subjective emotional intensity, and constitute a real vulnerability for affective disorders. This suggests that emotional awareness skills training could be an effective intervention for depressive symptoms at adolescence.

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A Multi-Vantaged Approach to Measurement of Behavioral and Affect States for Clinical and Psychobiological Research

Psychological Reports ◽

10.2466/pr0.1984.55.2.619 ◽

1984 ◽

Vol 55 (2) ◽

pp. 619-671 ◽

Cited By ~ 42

Author(s):

Martin M. Katz ◽

Steven Secunda ◽

Stephen H. Koslow ◽

James W. Maas ◽

Nancy Berman ◽

...

Keyword(s):

Affective Disorders ◽

Collaborative Study ◽

Preliminary Evidence ◽

The State ◽

Self Report ◽

Differential Sensitivity ◽

Cognitive Constructs ◽

Psychometric Analyses ◽

Affect States ◽

Diverse Groups

The development of methods based on the “multivantaged” assessment of behavioral, affect, and cognitive constructs in patients with affective disorders, is reponed. The state and outcome constructs were derived for application in clinical and psychobiological studies, particularly those aimed at testing biobehavioral hypotheses and the evaluation of the effects of drugs. The development of the constructs is based on the combining of scales from established measures which assess the patient in the interview, on the ward, from his self-report, and from a new vantage, through video methodology. Psychometric analyses primarily from data from the NIMH Collaborative Study of the Psychobiology of Depression describe the assembling of the 11 state constructs, and the estimation of their reliabilities, their interrelationships, and their validities. The methods are shown to be capable of characterizing pathologic and “normal” affects, social and expressive behaviors, and impairments in the cognitive and somatic spheres. They differentiated such diverse groups as depressives, manics, and normals, and such behaviorally similar depressive types as the unipolar and bipolar. Preliminary evidence is reported which indicates differential sensitivity to the effects of tricyclic drugs

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Repeated Digitized Assessment of Risk and Symptom Profiles During Inpatient Treatment of Affective Disorder: Observational Study (Preprint)

10.2196/preprints.24066 ◽

2020 ◽

Author(s):

Maike Frederike Richter ◽

Michael Storck ◽

Rogério Blitz ◽

Janik Goltermann ◽

Juliana Seipp ◽

...

Keyword(s):

Affective Disorder ◽

Affective Disorders ◽

Inpatient Treatment ◽

Data Entry ◽

Self Report ◽

Individual Risk ◽

Depression Severity ◽

Symptom Profiles ◽

Longitudinal Data Collection ◽

Digital Collection

BACKGROUND Predictive models have revealed promising results for the individual prognosis of treatment response and relapse risk as well as for differential diagnosis in affective disorders. Yet, in order to translate personalized predictive modeling from research contexts to psychiatric clinical routine, standardized collection of information of sufficient detail and temporal resolution in day-to-day clinical care is needed. Digital collection of self-report measures by patients is a time- and cost-efficient approach to gain such data throughout treatment. OBJECTIVE The objective of this study was to investigate whether patients with severe affective disorders were willing and able to participate in such efforts, whether the feasibility of such systems might vary depending on individual patient characteristics, and if digitally acquired assessments were of sufficient diagnostic validity. METHODS We implemented a system for longitudinal digital collection of risk and symptom profiles based on repeated self-reports via tablet computers throughout inpatient treatment of affective disorders at the Department of Psychiatry at the University of Münster. Tablet-handling competency and the speed of data entry were assessed. Depression severity was additionally assessed by a clinical interviewer at baseline and before discharge. RESULTS Of 364 affective disorder patients who were approached, 242 (66.5%) participated in the study; 88.8% of participants (215/242) were diagnosed with major depressive disorder, and 27 (11.2%) had bipolar disorder. During the duration of inpatient treatment, 79% of expected assessments were completed, with an average of 4 completed assessments per participant; 4 participants (4/242, 1.6%) dropped out of the study prematurely. During data entry, 89.3% of participants (216/242) did not require additional support. Needing support with tablet handling and slower data entry pace were predicted by older age, whereas depression severity at baseline did not influence these measures. Patient self-reporting of depression severity showed high agreement with standardized external assessments by a clinical interviewer. CONCLUSIONS Our results indicate that digital collection of self-report measures is a feasible, accessible, and valid method for longitudinal data collection in psychiatric routine, which will eventually facilitate the identification of individual risk and resilience factors for affective disorders and pave the way toward personalized psychiatric care.

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Comorbid psychiatric diagnoses in kleptomania and pathological gambling: a preliminary comparison study

European Psychiatry ◽

10.1016/j.eurpsy.2004.04.012 ◽

2004 ◽

Vol 19 (5) ◽

pp. 299-302 ◽

Cited By ~ 28

Author(s):

Pinhas N. Dannon ◽

Katherine Lowengrub ◽

Marina Sasson ◽

Bosmat Shalgi ◽

Lali Tuson ◽

...

Keyword(s):

Pathological Gambling ◽

Affective Disorders ◽

Impulse Control ◽

Rating Scale ◽

Impulse Control Disorders ◽

Self Report ◽

Psychiatric Evaluation ◽

Psychiatric Diagnoses ◽

Pathological Gamblers ◽

High Prevalence

AbstractKleptomania and pathological gambling (PG) are currently classified in the DSM IV as impulse control disorders. Impulse control disorders are characterized by an overwhelming temptation to perform an act that is harmful to the person or others. The patient usually feels a sense of tension before committing the act and then experiences pleasure or relief while in the process of performing the act. Kleptomania and PG are often associated with other comorbid psychiatric diagnoses. Forty-four pathological gamblers and 19 kleptomanics were included in this study. All enrolled patients underwent a complete diagnostic psychiatric evaluation and were examined for symptoms of depression and anxiety using the Hamilton depression rating scale and the Hamilton anxiety rating scale, respectively. In addition, the patients completed self-report questionnaires about their demographic status and addictive behavior. The comorbid lifetime diagnoses found at a high prevalence among our kleptomanic patients included 47% with affective disorders (9/19) and 37% with anxiety disorders (7/19). The comorbid lifetime diagnoses found at a high prevalence in our sample of pathological gamblers included 27% with affective disorders (12/44), 21% with alcohol abuse (9/44), and 7% with a history of substance abuse (3/44). A larger study is needed to confirm these preliminary results.

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