What Is IPT?

2017 ◽  
pp. 21-29
Author(s):  
Myrna M. Weissman ◽  
John C. Markowitz ◽  
Gerald L. Klerman
Keyword(s):  
Bipolar Disorder ◽  
Major Depressive Disorder ◽  
Depressive Symptoms ◽  
Major Depression ◽  
Depressive Disorder ◽  
Personal Life ◽  
Mild Depression ◽  
Symptoms Of Depression ◽  
The People ◽  
Persistent Depressive Disorder

IPT is a time-limited, specified psychotherapy developed initially for patients with major depressive disorder and later adapted for other disorders as well. IPT is based on the idea that the symptoms of depression have multiple causes, genetic and environmental. Whatever the causes, however, depression does not arise in a vacuum. Depressive symptoms are usually associated with something going on in the patient’s current personal life, usually in association with people the patient feels close to. The goals of IPT are to reduce the symptoms of depression and to help the patient deal better with the people and life situations associated with the onset of symptoms. This chapter provides an overview of the underlying theory and discusses the concepts and goals of this treatment. The types of depression are defined: major depression, MDD, dysthymic (persistent depressive) disorder, bipolar disorder, and mild depression.

Emotional availability in women with bipolar disorder and major depression: A longitudinal pregnancy cohort study

2021 ◽  
pp. 000486742199879
Author(s):  
Pavitra Aran ◽  
Andrew J Lewis ◽  
Stuart J Watson ◽  
Thinh Nguyen ◽  
Megan Galbally
Keyword(s):  
Bipolar Disorder ◽  
Major Depressive Disorder ◽  
Depressive Symptoms ◽  
Major Depression ◽  
Depressive Disorder ◽  
Emotional Availability ◽  
Major Depressive ◽  
Interaction Quality ◽  
Pregnancy Cohort ◽  
The Impact

Objective: Poorer mother–infant interaction quality has been identified among women with major depression; however, there is a dearth of research examining the impact of bipolar disorder. This study sought to compare mother–infant emotional availability at 6 months postpartum among women with perinatal major depressive disorder, bipolar disorder and no disorder (control). Methods: Data were obtained for 127 mother–infant dyads from an Australian pregnancy cohort. The Structured Clinical Interview for the DSM-5 was used to diagnose major depressive disorder ( n = 60) and bipolar disorder ( n = 12) in early pregnancy (less than 20 weeks) and review diagnosis at 6 months postpartum. Prenatal and postnatal depressive symptoms were measured using the Edinburgh Postnatal Depression Scale, along with self-report psychotropic medication use. Mother and infant’s interaction quality was measured using the Emotional Availability Scales when infants reached 6 months of age. Multivariate analyses of covariance examining the effects of major depressive disorder and bipolar disorder on maternal emotional availability (sensitivity, structuring, non-intrusiveness, non-hostility) and child emotional availability (responsiveness, involvement) were conducted. Results: After controlling for maternal age and postpartum depressive symptoms, perinatal disorder (major depressive disorder, bipolar disorder) accounted for 17% of the variance in maternal and child emotional availability combined. Compared to women with major depressive disorder and their infants, women with bipolar disorder and their infants displayed lower ratings across all maternal and child emotional availability qualities, with the greatest mean difference seen in non-intrusiveness scores. Conclusions: Findings suggest that perinatal bipolar disorder may be associated with additional risk, beyond major depressive disorder alone, to a mother and her offspring’s emotional availability at 6 months postpartum, particularly in maternal intrusiveness.

scholarly journals Polygenic scores for major depressive disorder and depressive symptoms predict response to lithium in patients with bipolar disorder

2018 ◽  
Author(s):  
Azmeraw T. Amare ◽  
Klaus Oliver Schubert ◽  
Liping Hou ◽  
Scott R. Clark ◽  
Sergi Papiol ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Major Depressive Disorder ◽  
Depressive Symptoms ◽  
Depressive Disorder ◽  
Treatment Response ◽  
Lithium Treatment ◽  
Mapk Signaling ◽  
Genome Wide Association Studies ◽  
Major Depressive ◽  
Polygenic Scores

AbstractBackgroundLithium is a first-line medication for bipolar disorder (BD), but only ~30% of patients respond optimally to the drug. Since genetic factors are known to mediate lithium treatment response, we hypothesized whether polygenic susceptibility to the spectrum of depression traits is associated with treatment outcomes in patients with BD. In addition, we explored the potential molecular underpinnings of this relationship.MethodsWeighted polygenic scores (PGSs) were computed for major depressive disorder (MDD) and depressive symptoms (DS) in BD patients from the Consortium on Lithium Genetics (ConLi+Gen; n=2,586) who received lithium treatment. Lithium treatment outcome was assessed using the ALDA scale. Summary statistics from genome-wide association studies (GWAS) in MDD (130,664 cases and 330,470 controls) and DS (n=161,460) were used for PGS weighting. Associations between PGSs of depression traits and lithium treatment response were assessed by binary logistic regression. We also performed a cross-trait meta-GWAS, followed by Ingenuity® Pathway Analysis.OutcomesBD patients with a low polygenic load for depressive traits were more likely to respond well to lithium, compared to patients with high polygenic load (MDD: OR =1.64 [95%CI: 1.26-2.15], lowest vs highest PGS quartiles; DS: OR=1.53 [95%CI: 1.18-2.00]). Associations were significant for type 1, but not type 2 BD. Cross-trait GWAS and functional characterization implicated voltage-gated potassium channels, insulin-related pathways, mitogen-activated protein-kinase (MAPK) signaling, and miRNA expression.InterpretationGenetic loading to depression traits in BD patients lower their odds of responding optimally to lithium. Our findings support the emerging concept of a lithium-responsive biotype in BD.FundingSee attached details

scholarly journals Psychotherapy for subclinical depression: meta-analysis

2014 ◽  
Vol 205 (4) ◽  
pp. 268-274 ◽  
Author(s):  
Pim Cuijpers ◽  
Sander L. Koole ◽  
Annemiek van Dijke ◽  
Miquel Roca ◽  
Juan Li ◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
Depressive Symptoms ◽  
Major Depression ◽  
Depressive Disorder ◽  
Psychological Treatment ◽  
Meta Analysis ◽  
Major Depressive ◽  
Major Depressive Episodes ◽  
Depressive Episodes ◽  
Subclinical Depression

BackgroundThere is controversy about whether psychotherapies are effective in the treatment of subclinical depression, defined by clinically relevant depressive symptoms in the absence of a major depressive disorder.AimsTo examine whether psychotherapies are effective in reducing depressive symptoms, reduce the risk of developing major depressive disorder and have comparable effects to psychological treatment of major depression.MethodWe conducted a meta-analysis of 18 studies comparing a psychological treatment of subclinical depression with a control group.ResultsThe target groups, therapies and characteristics of the included studies differed considerably from each other, and the quality of many studies was not optimal. Psychotherapies did have a small to moderate effect on depressive symptoms against care as usual at the post-test assessment (g = 0.35, 95% CI 0.23–0.47; NNT = 5, 95% CI 4–8) and significantly reduced the incidence of major depressive episodes at 6 months (RR = 0.61) and possibly at 12 months (RR = 0.74). The effects were significantly smaller than those of psychotherapy for major depressive disorder and could be accounted for by non-specific effects of treatment.ConclusionsPsychotherapy may be effective in the treatment of subclinical depression and reduce the incidence of major depression, but more high-quality research is needed.

The Quick Inventory of Depressive Symptomatology (Clinician and Self-Report Versions) in Patients With Bipolar Disorder

CNS Spectrums ◽  
2010 ◽  
Vol 15 (6) ◽  
pp. 367-373 ◽  
Author(s):  
Ira H. Bernstein ◽  
A. John Rush ◽  
Trisha Suppes ◽  
Yakasushi Kyotoku ◽  
Diane Warden
Keyword(s):  
Bipolar Disorder ◽  
Major Depressive Disorder ◽  
Depressive Symptoms ◽  
Depressive Disorder ◽  
Depressive Symptomatology ◽  
Self Report ◽  
General Interest ◽  
Major Depressive ◽  
Sad Mood ◽  
Illness Phase

ABSTRACTIntroduction: The clinical and self-report versions of the Quick Inventory of Depressive Symptomatology (QIDS-C16 and QIDS-SR16) have been well studied in patients with major depressive disorder and in one recent study using patients with bipolar disorder. This article examines these measures in a second sample of 141 outpatients with bipolar disorder in different phases of the illness.Methods: At baseline, 61 patients were depressed and 30 were euthymic; at exit, 50 were depressed and 52 were euthymic. The remaining patients (at baseline or exit) were in either a manic or mixed phase and were pooled for statistical reasons.Results: Similar results were found for the QIDS-C16 and QIDS-SR16. Scores were reasonably reliable to the extent that variability within groups permitted. As expected, euthymic patients showed less depressive symptomatology than depressed patients. Sad mood and general interest were tne most discriminating symptoms between depressed and euthymic phases. Changes in illness phase (baseline to exit) were associated with substantial changes in scores. The relation of individual depressive symptoms to the overall level of depression was consistent across phases.Conclusion: Both the QIDS-SR16 and QIDS-C16 are suitable measures of depressive symptoms in patients with bipolar disorder.

scholarly journals The genetics of the mood disorder spectrum: genome-wide association analyses of over 185,000 cases and 439,000 controls

2018 ◽  
Author(s):  
Jonathan R. I. Coleman ◽  
Héléna A. Gaspar ◽  
Julien Bryois ◽  
Gerome Breen ◽  
◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Major Depressive Disorder ◽  
Major Depression ◽  
Depressive Disorder ◽  
Mood Disorders ◽  
Genome Wide Association ◽  
Genome Wide Association Studies ◽  
Major Depressive ◽  
Genome Wide ◽  
Genome Wide Significance

AbstractBackgroundMood disorders (including major depressive disorder and bipolar disorder) affect 10-20% of the population. They range from brief, mild episodes to severe, incapacitating conditions that markedly impact lives. Despite their diagnostic distinction, multiple approaches have shown considerable sharing of risk factors across the mood disorders.MethodsTo clarify their shared molecular genetic basis, and to highlight disorder-specific associations, we meta-analysed data from the latest Psychiatric Genomics Consortium (PGC) genome-wide association studies of major depression (including data from 23andMe) and bipolar disorder, and an additional major depressive disorder cohort from UK Biobank (total: 185,285 cases, 439,741 controls; non-overlapping N = 609,424).ResultsSeventy-three loci reached genome-wide significance in the meta-analysis, including 15 that are novel for mood disorders. More genome-wide significant loci from the PGC analysis of major depression than bipolar disorder reached genome-wide significance. Genetic correlations revealed that type 2 bipolar disorder correlates strongly with recurrent and single episode major depressive disorder. Systems biology analyses highlight both similarities and differences between the mood disorders, particularly in the mouse brain cell types implicated by the expression patterns of associated genes. The mood disorders also differ in their genetic correlation with educational attainment – positive in bipolar disorder but negative in major depressive disorder.ConclusionsThe mood disorders share several genetic associations, and can be combined effectively to increase variant discovery. However, we demonstrate several differences between these disorders. Analysing subtypes of major depressive disorder and bipolar disorder provides evidence for a genetic mood disorders spectrum.

scholarly journals Recent life events, cortisol, dehydroepiandrosterone and the onset of major depression in high-risk adolescents

2000 ◽  
Vol 177 (6) ◽  
pp. 499-504 ◽  
Author(s):  
I. M. Goodyer ◽  
J. Herbert ◽  
A. Tamplin ◽  
P. M. E. Altham
Keyword(s):  
Major Depressive Disorder ◽  
Depressive Symptoms ◽  
High Risk ◽  
Major Depression ◽  
Depressive Disorder ◽  
Life Events ◽  
Specific Pattern ◽  
Additive Effects ◽  
Major Depressive ◽  
Physiological Risk

BackgroundIt is not clear whether cortisol or dehydroepiandrosterone (DHEA) hypersecretion increases the risk for major depression in the presence of undesirable life events.AimsTo determine whether there is a specific pattern of psychoendocrine factors that predicts the onset of major depressive disorder.Method180 adolescents (73 boys, 107 girls) at high risk for psychopathology were assessed for cortisol, DHEA, depressive symptoms, life events and psychiatric disorder at entry and 12 months later.ResultsMajor depression was predicted for both genders by the additive effects of: higher depressive symptoms; personal disappointments and losses only in the month before onset; one or more daily levels of cortisol at 08.00 h or DHEA at 20.00 h greater than the 80th percentile of the daily mean.ConclusionsA subgroup of adolescents may carry a physiological risk for major depression which may be either of genetic and/or earlier psychosocial origin.

scholarly journals The role of peri-traumatic stress and disruption distress in predicting symptoms of major depression following exposure to a natural disaster

2017 ◽  
Vol 51 (7) ◽  
pp. 711-718 ◽  
Author(s):  
Caroline J Bell ◽  
Joseph M Boden ◽  
L John Horwood ◽  
Roger T Mulder
Keyword(s):  
Major Depressive Disorder ◽  
Major Depression ◽  
Depressive Disorder ◽  
Traumatic Stress ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Major Depressive ◽  
Symptoms Of Depression ◽  
Health And Development

Objective: Few studies have examined the contribution of specific disaster-related experiences to symptoms of depression. The aims of this study were to do this by examining the roles of peri-traumatic stress and distress due to lingering disaster-related disruption in explaining linkages between disaster exposure and major depressive disorder symptoms among a cohort exposed to the 2010–2011 Canterbury (New Zealand) earthquakes. Methods: Structural equation models were fitted to data obtained from the Christchurch Health and Development Study at age 35 ( n = 495), 20–24 months following the onset of the disaster. Measures included earthquake exposure, peri-traumatic stress, disruption distress and symptoms of major depressive disorder. Results: The associations between earthquake exposure and major depression were explained largely by the experience of peri-traumatic stress during the earthquakes (β = 0.180, p < 0.01) and not by disruption distress following the earthquakes (β = 0.048, p = 0.47). Conclusion: The results suggest that peri-traumatic stress has been under-recognised as a predictor of major depressive disorder.

Mood Disorders

2017 ◽  
Author(s):  
Harvinder Singh ◽  
Brian Frankel
Keyword(s):  
Bipolar Disorder ◽  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Mood Disorders ◽  
Major Depressive ◽  
Bipolar Ii Disorder ◽  
Bipolar I Disorder ◽  
Bipolar Ii ◽  
Cyclothymic Disorder ◽  
Persistent Depressive Disorder

In this chapter the topics that are reviewed include major depressive disorder, persistent depressive disorder (dysthymia), unspecified depressive disorder, bipolar I disorder, bipolar II disorder, cyclothymic disorder and unspecified bipolar disorder

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