One year follow-up of post-partum-onset depression: the role of depressive symptom severity and personality disorders

2009 ◽  
Vol 30 (2) ◽  
pp. 141-145 ◽  
Author(s):  
Faruk Uguz ◽  
Cemal Akman ◽  
Mine Sahingoz ◽  
Nazmiye Kaya ◽  
Rahim Kucur
Keyword(s):  
Depressive Symptom ◽  
Personality Disorders ◽  
Symptom Severity ◽  
Post Partum ◽  
Depressive Symptom Severity ◽  
One Year

scholarly journals Serotonin transporter polymorphism (5HTTLPR), severe childhood abuse and depressive symptom trajectories in adulthood

BJPsych Open ◽  
2015 ◽  
Vol 1 (1) ◽  
pp. 104-109 ◽  
Author(s):  
Timothy B. Nguyen ◽  
Jane M. Gunn ◽  
Maria Potiriadis ◽  
Ian P. Everall ◽  
Chad A. Bousman
Keyword(s):  
Depressive Symptom ◽  
Childhood Abuse ◽  
Serotonin Transporter ◽  
Symptom Severity ◽  
Cross Sectional ◽  
Symptom Trajectories ◽  
History Of ◽  
Depressive Symptom Severity ◽  
Serotonin Transporter Polymorphism

BackgroundCross-sectional studies suggest that the serotonin transporter promoter region polymorphism (5-HTT gene-linked polymorphic region,5HTTLPR) moderates the relationship between childhood abuse and major depressive disorder.AimsTo examine whether the5HTTLPRpolymorphism moderates the effect childhood abuse has on 5-year depressive symptom severity trajectories in adulthood.MethodAt 5-year follow-up, DNA from 333 adult primary care attendees was obtained and genotyped for the5HTTLPRpolymorphism. Linear mixed models were used to test for a genotype × childhood abuse interaction effect on 5-year depressive symptom severity trajectories.ResultsAfter covariate adjustment, homozygoussallele carriers with a history of severe childhood abuse had significantly greater depressive symptom severity at baseline compared with those without a history of severe childhood abuse and this effect persisted throughout the 5-year period of observation.ConclusionsThe5HTTLPR s/sgenotype robustly moderates the effects of severe childhood abuse on depressive symptom severity trajectories in adulthood.

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.

The role of marital interaction in chronic pain and depressive symptom severity

1990 ◽  
Vol 34 (4) ◽  
pp. 401-408 ◽  
Author(s):  
R.D. Kerns ◽  
J. Haythornthwaite ◽  
S. Southwick ◽  
E.L. Giller
Keyword(s):  
Chronic Pain ◽  
Depressive Symptom ◽  
Symptom Severity ◽  
Marital Interaction ◽  
Depressive Symptom Severity

scholarly journals A Web- and Mobile-Based Intervention for Comorbid, Recurrent Depression in Patients With Chronic Back Pain on Sick Leave (Get.Back): Pilot Randomized Controlled Trial on Feasibility, User Satisfaction, and Effectiveness

10.2196/16398 ◽  
2020 ◽  
Vol 7 (4) ◽  
pp. e16398
Author(s):  
Sandra Schlicker ◽  
Harald Baumeister ◽  
Claudia Buntrock ◽  
Lasse Sander ◽  
Sarah Paganini ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Health Insurance ◽  
Depressive Symptom ◽  
Sick Leave ◽  
Symptom Severity ◽  
User Satisfaction ◽  
Depressive Symptom Severity ◽  
Secondary Outcomes

Background Chronic back pain (CBP) is linked to a higher prevalence and higher occurrence of major depressive disorder (MDD) and can lead to reduced quality of life. Unfortunately, individuals with both CBP and recurrent MDD are underidentified. Utilizing health care insurance data may provide a possibility to better identify this complex population. In addition, internet- and mobile-based interventions might enhance the availability of existing treatments and provide help to those highly burdened individuals. Objective This pilot randomized controlled trial investigated the feasibility of recruitment via the health records of a German health insurance company. The study also examined user satisfaction and effectiveness of a 9-week cognitive behavioral therapy and Web- and mobile-based guided self-help intervention Get.Back in CBP patients with recurrent MDD on sick leave compared with a waitlist control condition. Methods Health records from a German health insurance company were used to identify and recruit participants (N=76) via invitation letters. Study outcomes were measured using Web-based self-report assessments at baseline, posttreatment (9 weeks), and a 6-month follow-up. The primary outcome was depressive symptom severity (Center for Epidemiological Studies–Depression); secondary outcomes included anxiety (Hamilton Anxiety and Depression Scale), quality of life (Assessment of Quality of Life), pain-related variables (Oswestry Disability Index, Pain Self-Efficacy Questionnaire, and pain intensity), and negative effects (Inventory for the Assessment of Negative Effects of Psychotherapy). Results The total enrollment rate with the recruitment strategy used was 1.26% (76/6000). Participants completed 4.8 modules (SD 2.6, range 0-7) of Get.Back. The overall user satisfaction was favorable (mean Client Satisfaction Questionnaire score=24.5, SD 5.2). Covariance analyses showed a small but statistically significant reduction in depressive symptom severity in the intervention group (n=40) at posttreatment compared with the waitlist control group (n=36; F1,76=3.62, P=.03; d=0.28, 95% CI −0.17 to 0.74). Similar findings were noted for the reduction of anxiety symptoms (F1,76=10.45; P=.001; d=0.14, 95% CI −0.31 to 0.60) at posttreatment. Other secondary outcomes were nonsignificant (.06≤P≤.44). At the 6-month follow-up, the difference between the groups with regard to reduction in depressive symptom severity was no longer statistically significant (F1,76=1.50, P=.11; d=0.10, 95% CI −0.34 to 0.46). The between-group difference in anxiety at posttreatment was maintained to follow-up (F1,76=2.94, P=.04; d=0.38, 95% CI −0.07 to 0.83). There were no statistically significant differences across groups regarding other secondary outcomes at the 6-month follow-up (.08≤P≤.42). Conclusions These results suggest that participants with comorbid depression and CBP on sick leave may benefit from internet- and mobile-based interventions, as exemplified with the positive user satisfaction ratings. The recruitment strategy via health insurance letter invitations appeared feasible, but more research is needed to understand how response rates in untreated individuals with CBP and comorbid depression can be increased. Trial Registration German Clinical Trials Register DRKS00010820; https://www.drks.de/drks_web/navigate.do? navigationId=trial.HTML&TRIAL_ID=DRKS00010820.

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.

Individualized Behavioural Treatment of Severe Stuttering

1991 ◽  
Vol 19 (4) ◽  
pp. 347-357 ◽  
Author(s):  
Willi Ecker ◽  
Victor Meyer
Keyword(s):  
Oral Reading ◽  
Reading Improvement ◽  
Behavioural Treatment ◽  
Communication Situations ◽  
Cognitive Techniques ◽  
One Year

This case study illustrates the reduction of severe stuttering by an individually tailored treatment programme. Interventions are derived from a tripartite analysis (Lang, 1971) and include EMG biofeedback, regulated breathing, exposure in vivo to stressful communication situations and cognitive techniques to reduce relapse risk. The role of dysfunctional response system interactions in stuttering is emphasized. Treatment resulted in a marked reduction of stuttering and associated facial contortions during videotaped conversations with strangers and oral reading. Improvement was maintained at one-year follow-up.

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