scholarly journals Chocolate craving when depressed: a personality marker

2007 ◽  
Vol 191 (4) ◽  
pp. 351-352 ◽  
Author(s):  
Gordon Parker ◽  
Joanna Crawford
Keyword(s):  
Depressive Symptoms ◽  
Higher Order ◽  
Depression Symptoms ◽  
Personality Style ◽  
Web Based ◽  
Atypical Depression ◽  
Order Construct ◽  
Simple Question ◽  
Personality Facets ◽  
Dsm Iv

SummaryWe examined links between chocolate craving in people who are depressed and both personality style and atypical depressive symptoms, with a web-based questionnaire completed by nearly 3000 individuals reporting clinical depression. Chocolate was craved by half of the respondents (more so by women), judged as beneficial for depression, anxiety and irritability, and associated specifically with personality facets encompassed by the higher-order construct of neuroticism. The simple question of depression-associated chocolate craving appeared an efficient discriminator of DSM – IV atypical depression symptoms.

scholarly journals Virtual Reality and Web-Based Growth Mindset Interventions for Adolescent Depression: Protocol for a Three-Arm Randomized Trial (Preprint)

2019 ◽  
Author(s):  
Jessica Lee Schleider ◽  
Michael C Mullarkey ◽  
John R Weisz
Keyword(s):  
Virtual Reality ◽  
Depressive Symptoms ◽  
Perceived Control ◽  
Adolescent Depression ◽  
Growth Mindset ◽  
Depression Symptoms ◽  
Single Session ◽  
Post Intervention ◽  
Web Based ◽  
The Web

BACKGROUND Depression is the leading cause of disability in youth, with a global economic burden of US >$210 billion annually. However, up to 70% of youth with depression do not receive services. Even among those who do access treatment, 30% to 65% fail to respond and many dropout prematurely, demonstrating a need for more potent, accessible interventions. In a previous trial, a single-session Web-based growth mindset (GM) intervention significantly reduced depressive symptoms in high-symptom adolescents; however, this intervention did not benefit adolescents uniformly. For instance, the intervention reduced depression in adolescents who reported post intervention increases in perceived control, but it did not lead to significant depression reductions in adolescents who reported no significant post intervention increases in perceived control. OBJECTIVE The goal of this project is to test the acceptability and efficacy of a novel, single-session, virtual reality (VR) depression intervention—the VR Personality Project—teaching GM, the belief that personal attributes are malleable rather than fixed. The VR Personality Project was designed to systematically target and increase adolescents’ perceived control by offering a more immersive, engaging, user-directed intervention experience than the Web-based intervention can provide. By targeting an identified predictor of intervention response, the VR Personality Project may lead to larger reductions in depressive symptoms than existing Web-based mindset interventions. METHODS Adolescents with elevated depressive symptoms or a recent history of depression (N=159; ages 12 to 16 years) will be randomized to one of 3 intervention conditions: the VR Personality Project; the Web-based GM intervention tested previously; or an active, Web-based control. Adolescents and their parents will report on the adolescents’ depression symptoms, perceived control, and related domains of functioning at preintervention, postintervention, and at 3- and 9-month follow-up assessments. RESULTS We predict that the VR and Web-based mindset interventions will both lead to larger reductions in adolescent symptoms than the control intervention. Additionally, we predict that the VR-based single session intervention will lead to larger reductions in depression than the online mindset intervention and that these symptom reductions will be mediated by increases in adolescents’ perceived control from pre- to postintervention. CONCLUSIONS The results may suggest an efficient strategy for reducing adolescent depressive symptoms: One that is mechanism-targeted, relatively affordable (less than US $200 for a commercially available VR headset, a fraction of the cost of long-term psychotherapy) and potentially engaging to adolescents experiencing mood-related distress. CLINICALTRIAL ClinicalTrials.gov NCT0385881; https://clinicaltrials.gov/ct2/show/NCT03858881 (Archived by WebCite at http://www.webcitation.org/78C3roDgA). INTERNATIONAL REGISTERED REPOR DERR1-10.2196/13368

Bereavement or Breakup: A Network Approach to Modeling Differential Pathways into Depression

2019 ◽  
Author(s):  
Julian Burger ◽  
Margaret S. Stroebe ◽  
Pasqualina Perrig-Chiello ◽  
Henk A.W. Schut ◽  
Stefanie Spahni ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Graphical Models ◽  
Contextual Factors ◽  
Marital Disruption ◽  
Depression Symptoms ◽  
Depression Symptom ◽  
Multiple Time ◽  
Cross Sectional ◽  
Network Analyses ◽  
Within Subjects

Background: Prior network analyses demonstrated that the death of a loved one potentially precedes specific depression symptoms, primarily loneliness, which in turn links to other depressive symptoms. In this study, we extend prior research by comparing depression symptom network structures following two types of marital disruption: bereavement versus separation. Methods: We fitted two Gaussian Graphical Models to cross-sectional data from a Swiss survey of older persons (145 bereaved, 217 separated, and 362 married controls), and compared symptom levels across bereaved and separated individuals. Results: Separated compared to widowed individuals were more likely to perceive an unfriendly environment and oneself as a failure. Both types of marital disruption were linked primarily to loneliness, from where different relations emerged to other depressive symptoms. Amongst others, loneliness had a stronger connection to perceiving oneself as a failure in separated compared to widowed individuals. Conversely, loneliness had a stronger connection to getting going in widowed individuals. Limitations: Analyses are based on cross-sectional between-subjects data, and conclusions regarding dynamic processes on the within-subjects level remain putative. Further, some of the estimated parameters in the network exhibited overlapping confidence intervals and their order needs to be interpreted with care. Replications should thus aim for studies with multiple time points and larger samples. Conclusions: The findings of this study add to a growing body of literature indicating that depressive symptom patterns depend on contextual factors. If replicated on the within-subjects level, such findings have implications for setting up patient-tailored treatment approaches in dependence of contextual factors.

Examining the Temporal Dynamics of Anxiety and Depressive Symptoms During a Therapist-Supported, Smartphone-Based Intervention for Major Depression (Preprint)

2020 ◽  
Author(s):  
Santiago Allende ◽  
Valerie Forman-Hoffman ◽  
Philippe Goldin
Keyword(s):  
Depressive Symptoms ◽  
Temporal Relationship ◽  
Temporal Dynamics ◽  
Digital Health ◽  
Quadratic Function ◽  
Depression Symptoms ◽  
Symptoms Of Depression ◽  
Effect Model ◽  
End Of Treatment ◽  
Highly Correlated

UNSTRUCTURED Background: Anxiety and depression symptoms are highly correlated in adults with depression; however, little is known about their interaction and temporal dynamics of change during treatment. Thus, the primary aim of this study was to examine the temporal dynamics of anxiety and depressive symptoms during a 12-week therapist-supported, smartphone-delivered digital health intervention for symptoms of depression and anxiety, the Meru Health Program (MHP). Method: A total of 290 participants from the MHP were included in the present analyses (age Mean = 39.64, SD = 10.25 years; 79% female; 54% self-reported psychotropic medication use). A variance components model was used to examine whether (1) reporting greater anxiety during the current week relative to anxiety reported in other weeks would be associated with greater reporting of depressive symptoms during the current week, while a time-varying effect model was used to examine whether, (2) consistent with findings reported by Wright et al. (2014), the temporal relationship between anxiety and depressive symptoms during the intervention would be expressed as a quadratic function marked by a weak association at baseline, followed by an increase to a peak before demonstrating a negligible decrease until the end of treatment. Results: In support of hypothesis 1, we found that reporting greater anxiety symptoms during the current week relative to other weeks was associated with greater depressive symptoms during the current week. Contrary to hypothesis 2, the temporal relationship between anxiety and depressive symptoms evidenced a recurring pattern, with the association increasing during the initial weeks, decreasing during mid-treatment and sharply increasing toward the end of treatment. Conclusions: The present findings demonstrate that anxiety and depressive symptoms overlap and fluctuate in concert during a smartphone-based intervention for anxiety and depressive symptoms. The present findings may warrant more refined intervention strategies specifically tailored to co-occurring patterns of change in symptoms.

scholarly journals Burnout and depression among psychiatry residents during COVID-19 pandemic

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Abdulmajeed A. Alkhamees ◽  
Hatem Assiri ◽  
Hatim Yousef Alharbi ◽  
Abdullah Nasser ◽  
Mohammad A. Alkhamees
Keyword(s):  
Mental Health ◽  
Saudi Arabia ◽  
Depressive Symptoms ◽  
Mental Health Treatment ◽  
Maslach Burnout Inventory ◽  
Depression Symptoms ◽  
Psychiatry Residents ◽  
Mental Health Providers ◽  
Health Providers ◽  
Frontline Workers

AbstractVery few studies have been concerned with assessing the prevalence of burnout and depressive symptoms, especially during an infectious outbreak on non-frontline health care workers, such as a psychiatrist. In such instances, the role of psychiatrists and other mental health providers as a source of psychological support to the public and frontline workers is indispensable and valuable. This study aims to assess the prevalence of burnout and depressive symptoms, and their correlation, during the COVID-19 pandemic among psychiatry residents in Saudi Arabia. A total of 121 out of 150 psychiatry residents in Saudi Arabia completed the Maslach Burnout Inventory and Patient’s Health Questionnaire for the assessment of burnout and depressive symptoms. Burnout symptoms were found in 27.3%, and another 27.3% reported having depression symptoms. In addition, 16.5% reported having both burnout and depressive symptoms, with a significant relationship between them. Participants in the first 2 years of training and having a history of receiving mental health treatment in the past 2 years were at higher risk. The need is urgent to increase investment in mental health services and to construct a plan to reduce this risk of burnout and depression among psychiatrists by developing preventative strategies to prevent burnout and promote wellness is more important than ever.

scholarly journals Bidirectional Association Between Knee Osteoarthritis and Depressive Symptoms: A Nationwide Cohort Study

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 220-220
Author(s):  
Han Lu ◽  
Shaomei Shang ◽  
Limin Wang ◽  
Hongbo Chen
Keyword(s):  
Cohort Study ◽  
Depressive Symptoms ◽  
Knee Osteoarthritis ◽  
Proportional Hazards ◽  
Depression Scale ◽  
Cox Proportional Hazards ◽  
Depression Symptoms ◽  
Physical And Mental Health ◽  
Bidirectional Association ◽  
Bidirectional Relationship

Abstract Both knee osteoarthritis (KOA) and depressive symptoms are common health issues affecting the quality of life of old adults. Although it is presumed that KOA has a bidirectional relationship with the depressive symptoms, no cohort study has proven it. This is the first study to determine the strength of association for the bidirectional relationship between KOA and depressive symptoms. Data were gathered from the nationally survey of China Health and Retirement Longitudinal Study in 2011-2015. The presence of depressive symptoms was defined by the 10-item Center for Epidemiologic Studies Depression Scale score of 10 or higher. The adjusted Cox proportional hazards regression model was conducted to estimate hazards ratios (HRs). Controlled covariates include gender, age, education, marital status, residence, number of chronic diseases, and disability. The analysis of KOA predicting the depressive symptoms onset consisted of 4,377 participants free from depressive symptoms at baseline. During 4 years follow-up, diagnosed KOA participants were more likely to have depressive symptoms than their peers without KOA (HR = 1.50, 95% CI: 1.23-1.83). The parallel analysis of depressive symptoms predicting KOA onset included 6,848 participants without KOA at baseline, those with depressive symptoms had a higher relative risk of developing KOA (HR = 1.64, 95% CI: 1.41-1.92). Our results provide compelling evidence that the KOA-depressive symptoms association is bidirectional, highlighting the importance of evaluating the relationship between physical and mental health among older people. Particularly, taking this association into consideration in the risk assessment and primary prevention of KOA and depression symptoms.

scholarly journals Longitudinal Effects of Motivation and Physical Activity on Depressive Symptoms among College Students

2021 ◽  
Vol 18 (10) ◽  
pp. 5121
Author(s):  
Jie Zhang ◽  
Xiangli Gu ◽  
Xiaoxia Zhang ◽  
Jihye Lee ◽  
Mei Chang ◽  
...  
Keyword(s):  
College Students ◽  
Depressive Symptoms ◽  
Leisure Time ◽  
Perceived Competence ◽  
Repeated Measure ◽  
Depression Symptoms ◽  
Task Values ◽  
Competence Beliefs ◽  
Over Time ◽  
And Task

High prevalence of depression and physical inactivity have been consistently reported among college students, especially in females. Guided by Lubans et al.’s conceptual framework, the primary purpose of this study was to examine the longitudinal relationships of PA motivation with leisure-time PA and depressive symptoms among college students over one academic year. Employing a longitudinal repeated measure design, 1004 college students in China were recruited in this study (28.3% males and 71.7% females; M age = 18.93 ± 0.64 years; 18–22 years old). Participants completed previously validated questionnaires assessing PA motivation (perceived competence beliefs and task values toward PA), leisure-time PA participation, and depressive symptoms in Fall 2016 (Time 1) and Fall 2017 (Time 2). Both male and female college students showed a significant increase of depressive symptoms from freshmen to sophomores (p < 0.05). The regression models indicated that perceived competence beliefs and task values toward PA were significant predictors of depressive symptoms at Time 2 (p < 0.05) after controlling for Time 1 measures in males and females, respectively. Physically active college students consistently demonstrated higher PA motivation, and they displayed fewer depressive symptoms compared to inactive peers over time (p < 0.05). The findings suggest sex-specified motivational intervention strategies and PA promotion programs/opportunities are needed to reduce depression symptoms among college students over time.

scholarly journals Age Cohort Differences and Depressive Symptoms Among Community-Dwelling Older Americans

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 61-61
Author(s):  
Ethan Siu Leung Cheung ◽  
Ada Mui
Keyword(s):  
Depressive Symptoms ◽  
Short Form ◽  
Cognitive Status ◽  
Community Dwelling ◽  
Independent Effect ◽  
Depression Symptoms ◽  
Older Americans ◽  
Age Cohorts ◽  
Cohort Differences ◽  
Age Cohort

Abstract This study uses Wave 3 National Social Life, Health and Aging Project to examine the correlation between age cohorts [60s (n=1204); 70s (n=1176); 80 and older (n= 724)], cognitive status, and depression symptoms. In the total sample, 53.90% were females, 76.15% Whites, 15.29% Blacks, and 8.56% Asians. Compared to the 60s and 70s cohorts, 80+ cohort was cognitively more impaired [Mean (SD) of MoCA Short Form were 10.7(2.9), 10.0(3.2), and 8.1(3.6)]. There were no age cohorts’ differences in depressive symptoms experienced (Mean of CESD Short Form = 21.03; SD = 4.06). In order to identify predictors of depression, multiple hierarchical regressions were performed. The 60s sample was the reference group to compare with 70s and 80s cohorts. Results showed that age cohort variables had a significant independent effect as well as a joint effect with cognitive status in explaining depression scores. For each age cohort group, parallel regression analyses were conducted and all models were significant. Findings suggest that ADL impairment was the only common predictor for depressive symptoms for the three cohort groups, and the association was the strongest for the 60s cohort (b = .31). Other unique predictors for 60s cohort were lower-income, more IADLs impairment, higher stress and cognitive impairment. For the 70s cohort, unique predictors of depressive symptoms were female gender, unmarried, and less socialization. For the 80 and above group, correlates of depression are female, White, and high stress level. Findings highlight the necessity of age-sensitive programs on depression support for community-dwelling older Americans.

scholarly journals 663 Improved Sleep After a Brief Intervention for Insomnia Mediates Improvements in Depression Symptoms During the COVID-19 Pandemic

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A259-A259
Author(s):  
Kathleen O’Hora ◽  
Mateo Lopez ◽  
Allison Morehouse ◽  
Andrea Cordero ◽  
Raquel Osorno ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Outcome Measures ◽  
Symptom Severity ◽  
Post Treatment ◽  
Symptom Improvement ◽  
Depression Symptoms ◽  
Insomnia Symptom ◽  
The Impact ◽  
Insomnia Symptoms ◽  
Rate Of Improvement

Abstract Introduction The COVID-19 Pandemic and mitigation efforts have led to drastic increases in acute insomnia symptoms, which left untreated may contribute to increased risk for other negative mental health outcomes, including depression. However, the impact of treating acute insomnia symptoms on future depression outcomes remains unknown. Moreover, whether sleep improvements as a result of an insomnia treatment mediate subsequent reduction of depression symptoms similarly remains unknown. Methods At this writing, 44 individuals experiencing insomnia symptoms (Insomnia Severity Index; ISI ≥ 10) that began during the COVID-19 pandemic have been randomized to receive a brief, telehealth Cognitive Behavioral Therapy for Insomnia (CBTI) waitlist control. Treatment was delivered in 4 sessions over a 5-week period. CBTI is the gold-standard behavioral intervention for chronic insomnia and has been applied successfully via telemedicine. Outcome measures were depressive symptoms as measured by the Patient Health Questionnare-9 (PHQ-9) minus the sleep item and insomnia symptom severity as measured by the ISI. Both outcome measures were collected at baseline (week 0), throughout treatment phase (weeks 2–6), and at the post-treatment (week 7). Linear mixed models determined the impact of treatment on depression and insomnia symptom severity. Mediation was tested using the MacArthur framework. Results There was a significant Group x Time interaction, with CBTI leading to a greater rate of improvement in ISI (b = -1.14, p &lt; 0.001) and PHQ-9 (b = -0.61, p = 0.002) than the control. Critically, the rate of improvement in insomnia symptoms to the last session of treatment, was associated with the subsequent improvement in depressive symptoms post-treatment (b = 2.06, p = 0.017). In contrast, depressive symptom improvement was not associated with insomnia symptom improvement (b = 4.28, p = 0.102). Conclusion This preliminary data suggests that brief CBTI can reduce pandemic onset insomnia and other depressive symptoms. The preliminary mediation results further suggest that sleep may be an important treatment target for reducing situational depressive symptoms and supports the need to examine the physiological mechanisms of sleep using high-density EEG in a larger sample. Support (if any):

scholarly journals Effects of social support, hope and resilience on depressive symptoms within 18 months after diagnosis of prostate cancer

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Xinxin Zhao ◽  
Ming Sun ◽  
Ye Yang
Keyword(s):  
Prostate Cancer ◽  
Social Support ◽  
Depressive Symptoms ◽  
Perceived Social Support ◽  
Depression Scale ◽  
Psychosocial Interventions ◽  
Epidemiologic Studies ◽  
Depression Symptoms ◽  
Cross Sectional ◽  
Modifiable Factors

Abstract Background The prevalence of depression symptoms and related modifiable factors in prostate cancer (PCa) are not well evaluated. We aimed to assess the effects of perceived social support, hope and resilience on depressive symptoms within 18 months after diagnosis of PCa, and to evaluate the role of hope and resilience as mediators of that relationship. Method A cross-sectional study was analyzed in consecutive inpatients with PCa during the months of January 2018 and August 2019. A total of 667 patients eligible for this study completed questionnaires on demographic and clinic variables, Center for Epidemiologic Studies Depression Scale, Multidimensional Scale of Perceived Social Support, Adult Hope Scale, and Resilience Scale (14 items). All registered patients were all volunteers and anonymous. Depressive symptoms, perceived social support, hope and resilience were measured anonymously. Out of 667 patients, a total of 564 effective respondents (< 30% missing data) became our subjects. Hierarchical linear regression was used to identify the factors associated with depressive symptoms. Asymptotic and resampling strategies were used to conduct the mediating effects of hope and resilience. Results The prevalence of depressive symptoms was 65.9% in PCa patients. Hierarchical regression analyses indicated that perceived social support, hope, and resilience together accounted for 27.5% variance of depressive symptoms. Support from family, hope, and resilience significantly associated with depressive symptoms, respectively. Hope (a*b = − 0.0783, BCa95% CI: − 0.134 to − 0.0319, p < 0.05), and resilience (a*b = − 0.1315, BCa95% CI: − 0.1894 to − 0.0783, p < 0.05) significantly mediated the association between perceived social support and depressive symptoms. Conclusions The high prevalence of depressive symptoms among PCa patients should receive more attention. Perceived social support, hope and resilience could be positive resources for combating depressive symptoms, and hope and resilience mediated the association between perceived social support and depressive symptoms. Enhancing social support, particularly the support form family, and improving patients’ outlook and resilience may be potential targets for future psychosocial interventions aimed at reducing depressive symptoms.

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