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.

scholarly journals Frequency and network analysis of depressive symptoms in patients with cancer compared to the general population

2019 ◽  
Author(s):  
Tim Julian Hartung ◽  
Eiko I Fried ◽  
Anja Mehnert ◽  
Andreas Hinz ◽  
Sigrun Vehling
Keyword(s):  
Depressive Symptoms ◽  
Network Analysis ◽  
General Population ◽  
Graphical Models ◽  
Alternative Methods ◽  
Future Research ◽  
Edge Weight ◽  
Depression Symptoms ◽  
Cross Sectional ◽  
Patients With Cancer

Background: The use of sum scores of depressive symptoms has been increasingly criticized and may be particularly problematic in oncological settings. Frameworks analyzing individual symptoms and their interrelationships such as network analysis represent an emerging alternative. Methods: We aimed to assess frequencies and interrelationships of 9 DSM-5 symptom criteria of major depression reported in the PHQ-9 questionnaire by 4,020 patients with cancer and 4,020 controls from the general population. We estimated unregularized Gaussian graphical models for both samples and compared network structures as well as predictability and centrality of individual symptoms.Results: Depressive symptoms were more frequent, but less strongly intercorrelated in patients with cancer than in the general population. The overall network structure differed significantly between samples (correlation of adjacency matrices: rho=0.73, largest between-group difference in any edge weight: 0.20, p < 0.0001). Post-hoc tests showed significant differences in interrelationships for four symptom pairs. The mean variance of symptoms explained by all other symptoms in the same network was lower among cancer patients than in the general population (29% vs. 43%).Limitations: Cross-sectional data do not allow for temporal or causal inferences about the directions of associations and results from population-based samples may not apply to clinical psychiatric populations.Conclusions: In patients with cancer, both somatic and cognitive/affective depression symptoms are less likely to be explained by other depressive symptoms than in the general population. Rather than assuming a consistent depression construct, future research should study individual depressive symptom patterns and their potential causes in patients with cancer.

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.

scholarly journals Depression among patients with diabetes mellitus in a Nigerian teaching hospital

2010 ◽  
Vol 16 (2) ◽  
pp. 4 ◽  
Author(s):  
Bawo Onesirosan James ◽  
Joyce Ohiole Omoaregba ◽  
George Eze ◽  
Olufemi Morakinyo
Keyword(s):  
Diabetes Mellitus ◽  
Control Group ◽  
Depression Symptoms ◽  
Depression Symptom ◽  
Treatment Goals ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Prevalence Of Depression ◽  
Patients With Diabetes ◽  
Diabetes Patients

<p><strong>Objectives.</strong> Depression is associated with diabetes mellitus and affects treatment goals negatively. We aimed to determine the prevalence of depression and identify its socio-demographic or clinical correlates among patients with diabetes mellitus attending an out-patient clinic in Nigeria.</p><p><strong>Methods.</strong> Two hundred consecutively recruited diabetes patients (index group) were compared with a similar number of apparently healthy controls in a cross-sectional survey. In both groups, in addition to obtaining socio-demographic details, depression was diagnosed using the Schedule for the Clinical Assessment in Neuropsychiatry (SCAN), while the Beck Depression Inventory (BDI) was used to assess depression symptom severity. <strong></strong></p><p><strong>Results.</strong> Sixty (30%) diabetes patients met a SCAN diagnosis for clinical depression, compared with 19 (9.5%) in the control group. Having a smaller income and more children were significantly correlated with higher depression symptoms on the BDI.</p><p><strong>Conclusion.</strong> Depression is highly co-morbid with diabetes mellitus. The care of individuals with diabetes mellitus should include the screening and possible treatment for depression in order to achieve and sustain treatment goals.</p>

scholarly journals Depressive Symptoms and Associated Factors in Female Students in Fukushima Four Years after the Fukushima Nuclear Power Plant Disaster

2018 ◽  
Vol 15 (11) ◽  
pp. 2411 ◽  
Author(s):  
Shinya Ito ◽  
Mie Sasaki ◽  
Satoko Okabe ◽  
Nobuhiro Konno ◽  
Aya Goto
Keyword(s):  
Depressive Symptoms ◽  
Risk Perceptions ◽  
Radiation Risk ◽  
Well Being ◽  
Female Students ◽  
World Health ◽  
Nuclear Radiation ◽  
Depression Symptoms ◽  
Cross Sectional Survey ◽  
Cross Sectional

Young women in their late teens and early 20s are at the highest risk for depression onset. The present study aimed to assess depressive symptoms among female college students in Fukushima. More specifically, it aimed to clarify factors predicting possible symptom profiles, with an emphasis on determining how nuclear radiation risks affect the reporting of depression symptoms. A cross-sectional survey was conducted of 310 female students at a college in the Fukushima prefecture, Japan, in December 2015, and 288 participants submitted valid questionnaires. In total, 222 (77.1%) participants lived in Fukushima at the time of the Great East Japan Earthquake. The measures included the World Health Organization-Five Well-Being Index, the Fukushima Future Parents Attitude Measure, and risk perception of radiation health effects. A total of 46.5% of participants reported depressive symptoms. Path analysis revealed that higher radiation risk perceptions and reduced efficacy with reproduction related to a decline in self-esteem and self-efficacy, which was subsequently associated with increased depressive symptoms. These findings highlight the importance of radiation education among children and young adults, both after a nuclear accident and during disaster preparation, particularly in the context of reproductive and mental health.

scholarly journals Effects of social support, hope and resilience on depressive symptoms among patients with newly diagnosed prostate cancer

2020 ◽  
Author(s):  
Xinxin Zhao ◽  
Ming Sun ◽  
Ye Yang
Keyword(s):  
Prostate Cancer ◽  
Social Support ◽  
Depressive Symptoms ◽  
Perceived Social Support ◽  
Psychosocial Interventions ◽  
Cross Sectional Study ◽  
Depression Symptoms ◽  
Newly Diagnosed ◽  
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 in newly diagnosed PCa patients, 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 questionnaire was administered to 667 patients. 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 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 newly diagnosed 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.

scholarly journals Prevalence and Influencing Factors of Anxiety and Depression Symptoms Amongst Surgical Nurses During COVID-19 Pandemic: A Large-Scale Cross-Sectional Study

2020 ◽  
Author(s):  
Chun-Xia Ren ◽  
De-Cun Zhou ◽  
Yin-Guang Fan ◽  
Bao-Zhu Li ◽  
Wan-Fei Zhang ◽  
...  
Keyword(s):  
Social Support ◽  
Depressive Symptoms ◽  
Influencing Factors ◽  
Rating Scale ◽  
Depression Scale ◽  
Anxiety And Depression ◽  
Depression Symptoms ◽  
Cross Sectional ◽  
Self Rating ◽  
Surgical Nurses

Abstract BackgroundThe outbreak of novel 2019 coronavirus disease (COVID-19) has imposed an enormous physical and psychological pressure on people across the world. This study focused on evaluating the prevalence and influencing factors of anxiety and depression symptoms in surgical nurses during the epidemic in China. MethodA cross-sectional, multicenter quantitative study was conducted in Anhui province (China) from March 3, 2020 to March 19, 2020, with a questionnaire package which consisted of general information questionnaire，Zung's self-rating anxiety scale (SAS), Zung's self-rating Depression Scale (SDS) and social support rating scale (SSRS). A total of 3600 surgical nurses participated in the survey by Wechat and QQ. Data were analysed using multiple linear regression models. ResultsA total of 3492 surgical nurses from 12tertiary hospitals and 12 secondary hospitals in one province of mainland China completed the survey. The prevalence rates of anxiety symptoms and depressive symptoms were 24.83% and 22.39%, respectively. The average level of anxiety and depression of surgical nurses were higher than that of the Chinese norm (P< 0.05).Levels of social support for surgical nurses were significantly negatively associated with the degree of anxiety (r = -0.630, P < 0.001) and depression (r = -0.578, P < 0.001). Fertility status (β = 1.469, P = 0.003), hospital (β = -0.611, P < 0.001), participation in care for COVID-19 patients (β = 2.229, P < 0.001), likelihood of being infected with COVID-19 (β = 1.146, P < 0.001), social support (β = -0.623, P < 0.001) were significantly influencing surgical nurses’ anxiety degree. Similarly, these characteristics were significantly associated with the odds of experiencing depression symptoms in surgical nurses. Divorce and widowed surgical nurses (β = -2.654, P < 0.001) were significantly more likely to experience depressive symptoms than single nurses. ConclusionIn this survey, we found that the surgical nurses had high anxiety and depression symptoms during the COVID-19 outbreak in China. The findings suggest that targeted psychological interventions to promote the mental health of surgical nurses with psychological problems need to be immediately implemented.

Back pain and depressive symptoms: A systematic review and meta-analysis

2020 ◽  
pp. 009121742091300 ◽  
Author(s):  
Sohrab Amiri ◽  
Sepideh Behnezhad ◽  
Esfandiar Azad
Keyword(s):  
Back Pain ◽  
Depressive Symptoms ◽  
Confidence Interval ◽  
Publication Bias ◽  
Odds Ratio ◽  
Meta Analysis ◽  
Depression Symptoms ◽  
Psychological Consequences ◽  
Cross Sectional ◽  
Effective Prevention

Background Low back pain is a common disorder that has many consequences. This study is an attempt to meta-analyze the risk of depression symptoms in back pain. Method Four databases were selected for review, and this search was conducted using key words. Eleven eligible articles were selected for review and meta-analysis was conducted. Subgroup analyses were continued with study design and the method of measuring depression. Also, the heterogeneity and publication bias were examined. Results Eleven cohort and cross-sectional articles are used in the meta-analysis between back pain and depressive symptoms. The odds ratio 2.07 was calculated for this relationship. In prospective-cohort studies, 1.71 (95% confidence interval = 1.24–2.36) results indicated that back pain is a risk factor for depression symptoms and in cross-sectional studies, pooled odds ratio (2.33; 95% confidence interval = 1.29–4.21) showed that back pain is associated with depression symptoms. Some degree of publication bias was not found in the study. Conclusions Back pain is an effective factor in increasing the likelihood of depression. Adoption of effective prevention and treatment approaches can play an important role in reducing the psychological consequences in these individuals.

Temporal Changes in Depression Symptoms in Male and Female Collegiate Student-Athletes

2017 ◽  
Vol 11 (4) ◽  
pp. 337-351 ◽  
Author(s):  
Lindsey C. McGuire ◽  
Yvette M. Ingram ◽  
Michael L. Sachs ◽  
Ryan T. Tierney
Keyword(s):  
Repeated Measures ◽  
Student Athletes ◽  
Severe Depression ◽  
Depression Symptoms ◽  
Depression Symptom ◽  
Significant Interaction Effect ◽  
Repeated Measures Design ◽  
Temporal Course ◽  
Clinical Benefits ◽  
Within Subjects

Depression rates in collegiate student-athletes in the literature are varied and inconclusive, and data have only explored depression symptoms utilizing a crosssectional design. The purpose of the current study was to evaluate the temporal course of depression symptoms in student-athletes. Student-athletes (N = 93) from a Division II institution completed six administrations of a brief depression symptom screen once every 2 weeks throughout the fall athletic season. Ten (10.8%) student-athletes’ PHQ-9 surveys were red-flagged for moderate to severe depression symptoms at least once throughout the season. A mixed between-within subjects analysis of variance (ANOVA) revealed a significant interaction effect for time and sex in depression symptom scores, F(3.69, 335.70) = 10.36, p ≤ .001. The repeated-measures design of this study suggests that there are clinical benefits for screening for depression symptoms in student-athletes at multiple intervals throughout an athletic season.

scholarly journals FKBP5 Genotype Linked to Combined PTSD-Depression Symptom in Chinese Earthquake Survivors

2019 ◽  
Vol 64 (12) ◽  
pp. 863-871
Author(s):  
Gen Li ◽  
Li Wang ◽  
Kunlin Zhang ◽  
Chengqi Cao ◽  
Xing Cao ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Genetic Basis ◽  
Latent Profile Analysis ◽  
Common Mental Disorders ◽  
Phenotypic Heterogeneity ◽  
Depression Symptoms ◽  
Depression Symptom ◽  
Environment Interaction ◽  
Post Traumatic Stress ◽  
2008 Wenchuan Earthquake

Background: Post-traumatic stress disorder (PTSD) and depression are common mental disorders in individuals experiencing traumatic events. To date, few studies have studied the relationship between genetic basis and phenotypic heterogeneity of traumatized individuals. The present study examined the effects of four FKBP5 SNPs (rs1360780, rs3800373, rs9296158, and rs9470080) in four postdisaster groups (low symptom, predominantly depressive, predominantly PTSD, and combined PTSD-depression symptom groups) as identified by latent profile analysis. Methods: A total of 1,140 adults who experienced the 2008 Wenchuan earthquake participated in our study. Earthquake-related trauma, PTSD, and depressive symptoms were measured using standard psychometric instruments. The four FKBP5 SNPs were genotyped using a custom-by-design 2 × 48-Plex SNP scan™ Kit. Results: After adjusting for covariates, the main and gene–environment interaction effects of rs9470080 were all significant when the combined PTSD-depression group was compared with the low symptoms, predominantly depression and predominantly PTSD groups. rs9470080 TT genotype carriers had a higher risk of developing high co-occurring PTSD and depression symptoms than the C allele carriers. However, when trauma exposure was severe, the TT genotype carriers and C allele carriers did not differ in the risk of developing high co-occurring PTSD and depressive symptoms. The other three SNPs demonstrated no significant effects. Moreover, the rs3800373-rs9296158-rs1360780-rs9470080 haplotype A-G-C-T was found significantly associated with combined PTSD-depression symptoms. Conclusion: Our findings support the genetic basis of phenotypic heterogeneity in people exposed to trauma. Furthermore, the results reveal the possibility that the variants of FKBP5 gene may be associated with depression-PTSD comorbidity.

scholarly journals THE RELATIONSHIP BETWEEN MARITAL STATUS, COHORT, AND DEPRESSION SYMPTOMS IN TAIWAN

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S311-S312
Author(s):  
Fang-Yi Huang ◽  
Min Li
Keyword(s):  
Depressive Symptoms ◽  
Marital Status ◽  
Baby Boom ◽  
Depression Symptoms ◽  
Depression Symptom ◽  
Economic Decline ◽  
Logistic Regression Models ◽  
Financial Decline ◽  
Married Female ◽  
The Relationship

Abstract Objectives: The relationship between marital status and depression symptoms is well documented. However, how the negative economic shock affect relationship differ by gender and cohort is still indecisive. The dataset “2011 wave of the Taiwan Longitudinal Study in Aging” and logistic regression models were used in the study. The results: Marital status is related to depression symptoms, but it differs by gendered cohort. With considering financial shock, there is no difference of depressive symptom between divorced and married female. The divorced and widowed have 4.81 and 2.47 times higher of getting depression symptom than the married for baby boom female. Being divorced is 3.67 times higher of getting depressive symptoms than being married for baby boom male. For WWII female, the widows are 1.78 times higher to have depressive symptoms than the married. being divorced, widowers, and single are 3.32, 2.21 and 2.90 times higher of getting depressive symptoms than being married for WWII male. Being divorced is 3.67 times higher of getting depressive symptoms than being married for baby boom male. In conclusions, people with unstable marital statuses are more depressed than the married. In particular, the effect of unstable marital statuses on depression could be account for by financial decline for women but not men. Given the policy emphasis on those with unstable marital status and economic decline, divorce female and single baby boom female may represent particular groups in whom interventions designed to financially support.

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