Associations between aerobic and muscle-strengthening exercise with depressive symptom severity among 17,839 U.S. adults

2019 ◽  
Vol 121 ◽  
pp. 121-127 ◽  
Author(s):  
Jason A. Bennie ◽  
Megan J. Teychenne ◽  
Katrien De Cocker ◽  
Stuart J.H. Biddle
Keyword(s):  
Depressive Symptom ◽  
Symptom Severity ◽  
Muscle Strengthening ◽  
Strengthening Exercise ◽  
Depressive Symptom Severity

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.

scholarly journals Patient-reported outcomes before and after treatment of major depressive disorder

2014 ◽  
Vol 16 (2) ◽  
pp. 171-183 ◽  
Keyword(s):  
Depressive Symptom ◽  
Symptom Severity ◽  
Patient Reported Outcomes ◽  
Burden Of Illness ◽  
Major Depressive ◽  
Patient Reported ◽  
Before And After ◽  
Depressive Symptom Severity ◽  
The Impact ◽  
Level 2

Patient reported outcomes (PROs) of quality of life (QoL), functioning, and depressive symptom severity are important in assessing the burden of illness of major depressive disorder (MDD) and to evaluate the impact of treatment. We sought to provide a detailed analysis of PROs before and after treatment of MDD from the large Sequenced Treatment Alternatives to Relieve Depression (STAR*D) study. This analysis examines PROs before and after treatment in the second level of STAR*D. The complete data on QoL, functioning, and depressive symptom severity, were analyzed for each STAR*D level 2 treatment. PROs of QoL, functioning, and depressive symptom severity showed substantial impairments after failing a selective serotonin reuptake inhibitor trial using citalopram (level 1). The seven therapeutic options in level 2 had positive statistically (P values) and clinically (Cohen's standardized differences [Cohen's d]) significant impact on QoL, functioning, depressive symptom severity, and reduction in calculated burden of illness. There were no statistically significant differences between the interventions. However, a substantial proportion of patients still suffered from patient-reported QoL and functioning impairment after treatment, an effect that was more pronounced in nonremitters. PROs are crucial in understanding the impact of MDD and in examining the effects of treatment interventions, both in research and clinical settings.

scholarly journals Salivary Melatonin in Relation to Depressive Symptom Severity in Young Adults

PLoS ONE ◽  
2016 ◽  
Vol 11 (4) ◽  
pp. e0152814 ◽  
Author(s):  
Isak Sundberg ◽  
Mia Ramklint ◽  
Mats Stridsberg ◽  
Fotios C. Papadopoulos ◽  
Lisa Ekselius ◽  
...  
Keyword(s):  
Young Adults ◽  
Depressive Symptom ◽  
Symptom Severity ◽  
Depressive Symptom Severity ◽  
Salivary Melatonin

scholarly journals MULTIMORBIDITY IN OLDER ADULTS: CAN DISEASE CLUSTER PREDICT DEPRESSION SEVERITY?

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S393-S394
Author(s):  
Jacquelyn Minahan
Keyword(s):  
Older Adults ◽  
Depressive Symptom ◽  
Symptom Severity ◽  
Social Life ◽  
Chronic Conditions ◽  
Secondary Data ◽  
Depression Severity ◽  
Disease Clusters ◽  
Disease Cluster ◽  
Depressive Symptom Severity

Abstract Multimorbidity, defined as the co-occurrence of two or more chronic conditions, is positively correlated with depression severity among older adults. However, few studies have compared depression outcomes by disease cluster. To address this gap, secondary data analyses were performed using data from the National Social Life, Health, and Aging Project (NSHAP), Wave 2. For the purpose of this study, disease clusters are composed of conditions that implicate similar body systems (e.g., musculoskeletal system, cardiovascular system). Participants reported an average of 2.69 (+/- 1.97) chronic conditions. Multimorbidity and depressive symptom severity, as measured by the Center for Epidemiological Studies – Depression, Iowa Form (CES-D) were positively associated (p<0.001). Individual disease clusters, age, self-identifying as female, and lower educational attainment were predictive of depressive symptom severity (p<0.001). Findings support the necessary inclusion of social determinants (health status, gender, education, age) in the conceptualization of health and health outcomes within an aging population.

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