Potential Long-Term Effects of a Mind–Body Intervention for Women With Major Depressive Disorder: Sustained Mental Health Improvements With a Pilot Yoga Intervention

Background: Mindfulness-based Cognitive Therapy (MBCT) is a relapse prevention treatment for major depressive disorder. Method: An observational clinical audit of 39 participants explored the long-term effects of MBCT using standardized measures of depression (BDI-II), rumination (RSS), and mindfulness (MAAS). Results: MBCT was associated with statistically significant reductions in depression from pre to post treatment. Gains were maintained over time (Group 1, 1–12 months, p = .002; Group 2, 13–24 months, p = .001; Group 3, 25–34 months, p = .04). Depression scores in Group 3 did begin to worsen, yet were still within the mild range of the BDI-II. Treatment variables such as attendance at “booster” sessions and ongoing mindfulness practice correlated with better depression outcomes (p = .003 and p = .03 respectively). There was a strong negative correlation between rumination and mindful attention (p < .001), consistent with a proposed mechanism of metacognition in the efficacy of MBCT. Conclusion: It is suggested that ongoing MBCT skills and practice may be important for relapse prevention over the longer term. Larger randomized studies of the mechanisms of MBCT with longer follow-up periods are recommended.

Download Full-text

Short-term and long-term effects of major depressive disorder subtypes on obesity markers and impact of sex on these associations

Journal of Affective Disorders ◽

10.1016/j.jad.2021.10.057 ◽

2021 ◽

Author(s):

Clémentine Ottino ◽

Marie-Pierre F Strippoli ◽

Mehdi Gholam ◽

Aurélie M Lasserre ◽

Caroline L Vandeleur ◽

...

Keyword(s):

Major Depressive Disorder ◽

Depressive Disorder ◽

Long Term Effects ◽

Short Term ◽

Major Depressive

Download Full-text

Long-Term Effects of the Family Check-Up in Public Secondary School on Diagnosed Major Depressive Disorder in Adulthood

Journal of Youth and Adolescence ◽

10.1007/s10964-016-0482-6 ◽

2016 ◽

Vol 46 (3) ◽

pp. 570-581 ◽

Cited By ~ 2

Author(s):

Arin M. Connell ◽

Thomas J. Dishion

Keyword(s):

Major Depressive Disorder ◽

Secondary School ◽

Depressive Disorder ◽

Long Term Effects ◽

Major Depressive ◽

Public Secondary School ◽

The Family

Download Full-text

Long term life dissatisfaction and subsequent major depressive disorder and poor mental health

BMC Psychiatry ◽

10.1186/1471-244x-11-140 ◽

2011 ◽

Vol 11 (1) ◽

Cited By ~ 27

Author(s):

Teemu Rissanen ◽

Heimo Viinamäki ◽

Kirsi Honkalampi ◽

Soili M Lehto ◽

Jukka Hintikka ◽

...

Keyword(s):

Mental Health ◽

Major Depressive Disorder ◽

Depressive Disorder ◽

Poor Mental Health ◽

Major Depressive ◽

Life Dissatisfaction

Download Full-text

Recurrence of major depressive disorder and its predictors in the general population: results from The Netherlands Mental Health Survey and Incidence Study (NEMESIS)

Psychological Medicine ◽

10.1017/s0033291712002395 ◽

2012 ◽

Vol 43 (1) ◽

pp. 39-48 ◽

Cited By ~ 79

Author(s):

F. Hardeveld ◽

J. Spijker ◽

R. De Graaf ◽

W. A. Nolen ◽

A. T. F. Beekman

Keyword(s):

Mental Health ◽

Major Depressive Disorder ◽

General Population ◽

Depressive Disorder ◽

Depressive Episode ◽

Major Depressive ◽

Time To Recurrence ◽

Younger Age ◽

Mental Health Survey

BackgroundKnowledge of the risk of recurrence after recovery from major depressive disorder (MDD) in the general population is scarce.MethodData were derived from 687 subjects in the general population with a lifetime DSM-III-R diagnosis of MDD but without a current major depressive episode (MDE) or dysthymia. Participants had to be at least 6 months in remission, and were recruited from The Netherlands Mental Health Survey and Incidence Study (NEMESIS), using the Composite International Diagnostic Interview (CIDI). Recency and severity of the last MDE were assessed retrospectively at baseline. Recurrence of MDD was measured prospectively during the 3-year follow-up. Kaplan–Meier survival curves were used to measure time to recurrence. Determinants of time to recurrence were analyzed using proportional hazard models.ResultsThe estimated cumulative recurrence of MDD was 13.2% at 5 years, 23.2% at 10 years and 42.0% at 20 years. In bivariate analysis, the following variables predicted a shorter time to recurrence: younger age, younger age of onset, higher number of previous episodes, a severe last depressive episode, negative youth experiences, ongoing difficulties before recurrence and high neuroticism. Multivariably, younger age, a higher number of previous episodes, a severe last depressive episode, negative youth experiences and ongoing difficulties remained significant.ConclusionsIn this community sample, the long-term risk of recurrence was high, but lower than that found in clinical samples. Subjects who had had an MDE had a long-term vulnerability for recurrence. Factors predicting recurrence included illness- and stress-related factors.

Download Full-text

How a Depressive Medical Doctor Profited in the Long-Term from a New and Short Psychological Group-Treatment against Major Depressive Disorder

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18041925 ◽

2021 ◽

Vol 18 (4) ◽

pp. 1925

Author(s):

Daryl Wayne Niedermoser ◽

Nadeem Kalak ◽

Martin Meyer ◽

Nina Schweinfurth ◽

Marc Walter ◽

...

Keyword(s):

Major Depressive Disorder ◽

Depressive Disorder ◽

Group Treatment ◽

Medical Doctor ◽

Long Term Effects ◽

Major Depressive ◽

Work Related ◽

Related Stress

Background: Individuals suffering from major depressive disorder (MDD) often describe workplace-related stress as one of the main causes of their disorder. Here, we present the story of a 33 year old “Bob” (a pseudonym) who suffered from a moderate (Hamilton-21 = 18) major depressive episode. Workplace-related stress seemed to be the main stressor for Bob at the time. We were interested in long-lasting effects of a newly established group called “work-related interpersonal Psychotherapy, W-IPT”. W-IPT consists of eight weekly 90 min sessions. The follow-ups were 12 weeks after the group-treatment and 18 months later. Bob was chosen because he agreed in advance to participate in a follow-up. We were interested if the group-treatment of W-IPT also has a persistent positive effect. Case presentation: We present the case of a 33-year-old man “Bob”. He was included in our previous published pilot-study 2020 with diagnosed moderate MDD, and he attended the group treatment. This case report focuses on a follow-up period of 18 months. A structured clinical interview for DSM-IV was carried out in order to be included in the study, and no comorbid diagnoses were detected. Conclusions: However, the psychotherapeutic effects in this case seem enduring and prolonged. Of course, additional research to study the long-term effects of W-IPT is needed, and more patients need to be included.

Download Full-text

Use of cognitive techniques is associated with change in positive compensatory skills in the treatment of major depressive disorder in a community mental health setting

Psychotherapy Research ◽

10.1080/10503307.2020.1866785 ◽

2020 ◽

pp. 1-12

Author(s):

Paul Crits-Christoph ◽

Catherine King ◽

Elena Goldstein ◽

Mary Beth Connolly Gibbons

Keyword(s):

Mental Health ◽

Major Depressive Disorder ◽

Community Mental Health ◽

Depressive Disorder ◽

Mental Health Setting ◽

Major Depressive ◽

Cognitive Techniques ◽

Compensatory Skills

Download Full-text

A machine learning algorithm to differentiate bipolar disorder from major depressive disorder using an online mental health questionnaire and blood biomarker data

Translational Psychiatry ◽

10.1038/s41398-020-01181-x ◽

2021 ◽

Vol 11 (1) ◽

Cited By ~ 1

Author(s):

Jakub Tomasik ◽

Sung Yeon Sarah Han ◽

Giles Barton-Owen ◽

Dan-Mircea Mirea ◽

Nayra A. Martin-Key ◽

...

Keyword(s):

Mental Health ◽

Bipolar Disorder ◽

Major Depressive Disorder ◽

Depressive Disorder ◽

Diagnostic Algorithm ◽

Health Questionnaire ◽

Major Depressive ◽

Blood Biomarker ◽

Mental Health Questionnaire ◽

Biomarker Data

AbstractThe vast personal and economic burden of mood disorders is largely caused by their under- and misdiagnosis, which is associated with ineffective treatment and worsening of outcomes. Here, we aimed to develop a diagnostic algorithm, based on an online questionnaire and blood biomarker data, to reduce the misdiagnosis of bipolar disorder (BD) as major depressive disorder (MDD). Individuals with depressive symptoms (Patient Health Questionnaire-9 score ≥5) aged 18–45 years were recruited online. After completing a purpose-built online mental health questionnaire, eligible participants provided dried blood spot samples for biomarker analysis and underwent the World Health Organization World Mental Health Composite International Diagnostic Interview via telephone, to establish their mental health diagnosis. Extreme Gradient Boosting and nested cross-validation were used to train and validate diagnostic models differentiating BD from MDD in participants who self-reported a current MDD diagnosis. Mean test area under the receiver operating characteristic curve (AUROC) for separating participants with BD diagnosed as MDD (N = 126) from those with correct MDD diagnosis (N = 187) was 0.92 (95% CI: 0.86–0.97). Core predictors included elevated mood, grandiosity, talkativeness, recklessness and risky behaviour. Additional validation in participants with no previous mood disorder diagnosis showed AUROCs of 0.89 (0.86–0.91) and 0.90 (0.87–0.91) for separating newly diagnosed BD (N = 98) from MDD (N = 112) and subclinical low mood (N = 120), respectively. Validation in participants with a previous diagnosis of BD (N = 45) demonstrated sensitivity of 0.86 (0.57–0.96). The diagnostic algorithm accurately identified patients with BD in various clinical scenarios, and could help expedite accurate clinical diagnosis and treatment of BD.

Download Full-text

Exploring the Role and Potential of Probiotics in the Field of Mental Health: Major Depressive Disorder

Nutrients ◽

10.3390/nu13051728 ◽

2021 ◽

Vol 13 (5) ◽

pp. 1728

Author(s):

Dinyadarshini Johnson ◽

Sivakumar Thurairajasingam ◽

Vengadesh Letchumanan ◽

Kok-Gan Chan ◽

Learn-Han Lee

Keyword(s):

Mental Health ◽

Major Depressive Disorder ◽

Depressive Disorder ◽

Epigenetic Mechanisms ◽

Preclinical Models ◽

Major Depressive ◽

Health Domains ◽

Probiotic Intervention

The field of probiotic has been exponentially expanding over the recent decades with a more therapeutic-centered research. Probiotics mediated microbiota modulation within the microbiota–gut–brain axis (MGBA) have been proven to be beneficial in various health domains through pre-clinical and clinical studies. In the context of mental health, although probiotic research is still in its infancy stage, the promising role and potential of probiotics in various mental disorders demonstrated via in-vivo and in-vitro studies have laid a strong foundation for translating preclinical models to humans. The exploration of the therapeutic role and potential of probiotics in major depressive disorder (MDD) is an extremely noteworthy field of research. The possible etio-pathological mechanisms of depression involving inflammation, neurotransmitters, the hypothalamic–pituitary–adrenal (HPA) axis and epigenetic mechanisms potentially benefit from probiotic intervention. Probiotics, both as an adjunct to antidepressants or a stand-alone intervention, have a beneficial role and potential in mitigating anti-depressive effects, and confers some advantages compared to conventional treatments of depression using anti-depressants.

Download Full-text