Psychological inflexibility as a mediator of the relationship between depressive symptom severity and public stigma in depression

2017 ◽  
Vol 6 (2) ◽  
pp. 159-165 ◽  
Author(s):  
Brandon A. Gaudiano ◽  
Casey A. Schofield ◽  
Carter Davis ◽  
Lara S. Rifkin
Keyword(s):  
Depressive Symptom ◽  
Symptom Severity ◽  
Public Stigma ◽  
Psychological Inflexibility ◽  
Depressive Symptom Severity ◽  
The Relationship

scholarly journals Working Memory Alterations After a Romantic Relationship Breakup

2021 ◽  
Vol 15 ◽  
Author(s):  
Anne M. Verhallen ◽  
Remco J. Renken ◽  
Jan-Bernard C. Marsman ◽  
Gert J. ter Horst
Keyword(s):  
Working Memory ◽  
Depressive Symptom ◽  
Symptom Severity ◽  
Romantic Relationship ◽  
Well Being ◽  
Anterior Cingulate ◽  
Stressful Event ◽  
Depressive Symptom Severity ◽  
The Relationship ◽  
Cognitive Alterations

Experiencing stress can have a disadvantageous effect on mental well-being. Additional to the relation between suffering from chronic stress and depression, both stress (acute and chronic) and depression are associated with cognitive alterations, including working memory. The breakup of a relationship is considered to be a stressful event that can lead to symptoms of depression in otherwise healthy people. Additional to elevated depression scores, stress-related cognitive alterations may occur in this population as well. Therefore, in the present fMRI study we investigated whether experiencing a relationship breakup is associated with working memory alterations and whether this is related to depressive symptom severity. A three workload version of the n-back task (0-back, 1-back, 2-back) was used to measure working memory in subjects who experienced a breakup in the preceding 6 months (“heartbreak group”, n = 70) and subjects in a romantic relationship (“relationship group”, n = 46). Behavioral task performance was compared between the two groups. Functional MRI scans were analyzed using General Linear Model (GLM) activation analyses. Workload conditions were contrasted to each other and to baseline and group differences were assessed. To investigate whether brain networks are associated with depressive symptom severity within the heartbreak group specifically, a post hoc feature-based Independent Component Analysis was performed on the 2-back > 0-back contrast images to identify brain regions that covaried across subjects. Behaviorally, the heartbreak group performed similar at high workload (i.e., 2-back) and better at moderate workload (i.e., 1-back) than the relationship group. GLM analysis revealed an interaction between group and 2-back > 0-back, 2-back > 1-back and 2-back > baseline; the heartbreak group showed less precuneus activation compared to the relationship group. Furthermore, within the heartbreak group, we found a negative association between depressive symptom severity and a brain network representing mostly the precuneus, anterior cingulate gyrus and supplementary motor cortex. Our findings suggest that the effect of a breakup is accompanied by workload-dependent working memory alterations. Therefore, we propose that this population can potentially be used to investigate the interplay between stress, cognitive functioning and depression.

scholarly journals The relationship between mobile phone location sensor data and depressive symptom severity

PeerJ ◽  
2016 ◽  
Vol 4 ◽  
pp. e2537 ◽  
Author(s):  
Sohrab Saeb ◽  
Emily G. Lattie ◽  
Stephen M. Schueller ◽  
Konrad P. Kording ◽  
David C. Mohr
Keyword(s):  
Depressive Symptom ◽  
Symptom Severity ◽  
Geographic Location ◽  
Past Research ◽  
Sensor Data ◽  
Entire Study ◽  
Patient Health ◽  
Depressive Symptom Severity ◽  
The Relationship

BackgroundSmartphones offer the hope that depression can be detected using passively collected data from the phone sensors. The aim of this study was to replicate and extend previous work using geographic location (GPS) sensors to identify depressive symptom severity.MethodsWe used a dataset collected from 48 college students over a 10-week period, which included GPS phone sensor data and the Patient Health Questionnaire 9-item (PHQ-9) to evaluate depressive symptom severity at baseline and end-of-study. GPS features were calculated over the entire study, for weekdays and weekends, and in 2-week blocks.ResultsThe results of this study replicated our previous findings that a number of GPS features, including location variance, entropy, and circadian movement, were significantly correlated with PHQ-9 scores (r’s ranging from −0.43 to −0.46,p-values < .05). We also found that these relationships were stronger when GPS features were calculated from weekend, compared to weekday, data. Although the correlation between baseline PHQ-9 scores with 2-week GPS features diminished as we moved further from baseline, correlations with the end-of-study scores remained significant regardless of the time point used to calculate the features.DiscussionOur findings were consistent with past research demonstrating that GPS features may be an important and reliable predictor of depressive symptom severity. The varying strength of these relationships on weekends and weekdays suggests the role of weekend/weekday as a moderating variable. The finding that GPS features predict depressive symptom severity up to 10 weeks prior to assessment suggests that GPS features may have the potential as early warning signals of depression.

scholarly journals The contribution of depressive ‘disorder characteristics’ to determinations of prognosis for adults with depression: an individual patient data meta-analysis

2021 ◽  
pp. 1-14
Author(s):  
Joshua E. J. Buckman ◽  
Rob Saunders ◽  
Zachary D. Cohen ◽  
Phoebe Barnett ◽  
Katherine Clarke ◽  
...  
Keyword(s):  
Primary Care ◽  
Depressive Symptoms ◽  
Depressive Symptom ◽  
Panic Disorder ◽  
Symptom Severity ◽  
Individual Patient Data ◽  
Antidepressant Treatment ◽  
Patient Data ◽  
History Of ◽  
Depressive Symptom Severity

Abstract Background This study aimed to investigate general factors associated with prognosis regardless of the type of treatment received, for adults with depression in primary care. Methods We searched Medline, Embase, PsycINFO and Cochrane Central (inception to 12/01/2020) for RCTs that included the most commonly used comprehensive measure of depressive and anxiety disorder symptoms and diagnoses, in primary care depression RCTs (the Revised Clinical Interview Schedule: CIS-R). Two-stage random-effects meta-analyses were conducted. Results Twelve (n = 6024) of thirteen eligible studies (n = 6175) provided individual patient data. There was a 31% (95%CI: 25 to 37) difference in depressive symptoms at 3–4 months per standard deviation increase in baseline depressive symptoms. Four additional factors: the duration of anxiety; duration of depression; comorbid panic disorder; and a history of antidepressant treatment were also independently associated with poorer prognosis. There was evidence that the difference in prognosis when these factors were combined could be of clinical importance. Adding these variables improved the amount of variance explained in 3–4 month depressive symptoms from 16% using depressive symptom severity alone to 27%. Risk of bias (assessed with QUIPS) was low in all studies and quality (assessed with GRADE) was high. Sensitivity analyses did not alter our conclusions. Conclusions When adults seek treatment for depression clinicians should routinely assess for the duration of anxiety, duration of depression, comorbid panic disorder, and a history of antidepressant treatment alongside depressive symptom severity. This could provide clinicians and patients with useful and desired information to elucidate prognosis and aid the clinical management of depression.

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