Dimensions of perfectionism and constructive thinking as a coping response

The present study examined perfectionism and general coping ability as assessed by a new measure of constructive thinking. A sample of 77 students completed the Multidimensional Perfectionism Scale (MPS) and the Constructive Thinking Inventory (CTI). The MPS provides measures of selforiented, other-oriented, and socially prescribed perfectionism, while the CTI provides various measures, including summary scores of global constructive thinking, emotional coping, behavioral coping, categorical thinking, personal superstitious thinking, naive optimism, and esoteric thinking. Subjects also completed a measure of depressive symptoms so that we could examine perfectionism and coping independent of current levels of adjustment. The main finding was that socially prescribed perfectionism was associated with less constructive thinking and more negative coping across most of the CTI subscales, and these associations remained significant after removing variance due to levels of depression symptoms. Self-oriented perfectionism was adaptive in that it was associated with active forms of behavioral coping, but it was maladaptive in that it was associated with a form of emotional coping involving reduced self-acceptance. The results are discussed in terms of their implications for the cognitive treatment of perfectionists.<div><br></div><div><div>This is a post-peer-review, pre-copyedit version of an article published in: Flett, G. L., Russo, F. A., & Hewitt, P. L. (1994). Dimensions of perfectionism and constructive thinking as a coping response. Journal of Rational-Emotive and Cognitive-Behavior Therapy, 12(3), 163-179. The final authenticated version is available online at: http://dx.doi.org/10.1007/BF02354594</div></div>

Download Full-text

Dimensions of perfectionism and constructive thinking as a coping response

10.32920/14642154.v1 ◽

2021 ◽

Author(s):

Gordon L Flett ◽

Frank A Russo ◽

Paul L Hewitt

Keyword(s):

Depressive Symptoms ◽

Depression Symptoms ◽

Cognitive Behavior ◽

Constructive Thinking ◽

Coping Response ◽

Emotional Coping ◽

Socially Prescribed Perfectionism ◽

Negative Coping ◽

General Coping ◽

And Coping

Download Full-text

Perceived stress linking psychosocial factors and depressive symptoms in low-income mothers

BMC Public Health ◽

10.1186/s12889-020-10118-4 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Mei-Wei Chang ◽

Roger Brown ◽

Duane T. Wegener

Keyword(s):

Social Support ◽

Depressive Symptoms ◽

Young Children ◽

Psychosocial Factors ◽

Perceived Stress ◽

Low Income ◽

Self Efficacy ◽

Autonomous Motivation ◽

Emotional Coping ◽

And Coping

Abstract Background Little is known about associations between perceived stress, psychosocial factors (social support, emotional coping, coping self-efficacy, and autonomous motivation), and depressive symptoms in low-income overweight or obese mothers of young children. Using baseline data of a lifestyle intervention study, this secondary analysis investigates whether perceived stress might mediate the associations between the psychosocial factors and depressive symptoms. Methods Convenience sampling was applied. Low-income overweight or obese mothers of young children were recruited from the Special Supplemental Nutrition Program for Women, Infants, and Children in Michigan, US. Survey data were collected through phone interviews. Participants (N = 740) responded to valid surveys measuring perceived stress, social support, emotional coping, coping self-efficacy, autonomous motivation, and depressive symptoms. Composite indicator structural equation modeling was performed to test for potential mediation. Results When investigating the potential role of perceived stress as a mediator, the indirect effects of social support (b = − 2.10, p < 0.01), emotion coping (b = − 3.81, p < 0.05), and coping self-efficacy (b = − 7.53, p < 0.01) on depressive symptoms through perceived stress were significant, but the indirect effect of autonomous motivation was not. Conclusion Future intervention studies aiming to alleviate depressive symptoms in low-income overweight or obese mothers of young children might consider including practical strategies to promote social support, emotional coping, and coping self-efficacy to reduce perceived stress, which might potentially decrease depressive symptoms. Trial registration Clinical Trials NCT01839708; registered February 28, 2013.

Download Full-text

The Constructive Thinking Inventory: Factorial Structure in Healthy Individuals and Patients with Chronic Skin Diseases

European Journal of Psychological Assessment ◽

10.1027/1015-5759.14.3.226 ◽

1998 ◽

Vol 14 (3) ◽

pp. 226-233 ◽

Cited By ~ 3

Author(s):

Jürgen Hoyer ◽

Mechthild Averbeck ◽

Thomas Heidenreich ◽

Ulrich Stangier ◽

Karin Pöhlmann ◽

...

Keyword(s):

Skin Diseases ◽

Principal Component ◽

Initial Study ◽

Statistical Independence ◽

Constructive Thinking ◽

Global Factor ◽

Emotional Coping ◽

Factor Congruence ◽

Chronic Skin ◽

Chronic Skin Diseases

Epstein's “Constructive Thinking Inventory” (CTI) was developed to measure the construct of experiential intelligence, which is based on his cognitive-experiential self-theory. Inventory items were generated by sampling naturally occurring automatic cognitions. Using principal component analysis, the findings showed a global factor of coping ability as well as six main factors: Emotional Coping, Behavioral Coping, Categorical Thinking, Personal Superstitious Thinking, Esoteric Thinking, and Naive Optimism. We tested the replicability of this factor structure and the amount of statistical independence (nonredundancy) between these factors in an initial study of German students (Study 1, N = 439) and in a second study of patients with chronic skin disorders (Study 2, N = 187). Factor congruence with the original (American) data was determined using a formula proposed by Schneewind and Cattell (1970) . Our findings show satisfactory factor congruence and statistical independence for Emotional Coping and Esoteric Thinking in both studies, while full replicability or independence could not be found in both for the other factors. Implications for the use and further development of the CTI are discussed.

Download Full-text

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

10.31234/osf.io/38r4j ◽

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.

Download Full-text

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

10.2196/preprints.25280 ◽

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.

Download Full-text

Burnout and depression among psychiatry residents during COVID-19 pandemic

Human Resources for Health ◽

10.1186/s12960-021-00584-1 ◽

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.

Download Full-text

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

Innovation in Aging ◽

10.1093/geroni/igaa057.710 ◽

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.

Download Full-text

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

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18105121 ◽

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.

Download Full-text

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

Innovation in Aging ◽

10.1093/geroni/igaa057.199 ◽

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.

Download Full-text

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

SLEEP ◽

10.1093/sleep/zsab072.661 ◽

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 < 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):

Download Full-text