Hopelessness: A Network Analysis

Marchetti, Igor

doi:10.1007/s10608-018-9981-y

Cited by 81 publications

(79 citation statements)

References 51 publications

(49 reference statements)

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“…Currently, there is no consensus as to how to deal with missing data in network analysis, with different methods being adopted (Bastiaanse et al, 2020 ). In order to take a cautious approach and in line with extant literature (Beard et al, 2016 ; Marchetti, 2019 ), we applied listwise deletion of missing data. However, we also checked the trustworthiness of our results, after imputing missing data via multivariate imputation by chained equations (MICE), as previously done (e.g., Levinson et al, 2018 ; Southward & Cheavens, 2018 ).…”

Section: Resultsmentioning

confidence: 99%

The Architecture of Cognitive Vulnerability to Depressive Symptoms in Adolescence: A Longitudinal Network Analysis Study

Marchetti

Pössel

Koster

2020

Res Child Adolesc Psychopathol

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Rates of subclinical symptoms and full-blown depression significantly increase during adolescence. Hence, understanding how multiple cognitive risk factors are related to depression in adolescence is of major importance. For this purpose, we simultaneously considered multiple cognitive vulnerabilities, as proposed by three major cognitive theories for depression, namely Beck’s cognitive theory, hopelessness theory, and response style theory. In this four-wave study, we investigated the architecture, interplay, and stability of cognitive vulnerability mechanisms, depressive symptoms, and stressors in a large group of adolescents over a period of one year (n = 469; mean age = 15 years; 64% female). Network analysis was used to shed light on the structure of cognitive vulnerabilities in a data-driven fashion. Analyses revealed that different cognitive vulnerabilities were intertwined and automatic thoughts played the role of hub node in the network. Moreover, the interplay among cognitive vulnerabilities and depressive symptoms was already markedly stable in adolescence and did not change over a 12-month period. Finally, no evidence was found that cognitive vulnerabilities interacted with stressors, as proposed by diathesis-stress models. These findings advance our understanding of multiple cognitive risk factors for depression in adolescence.

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Section: Resultsmentioning

confidence: 99%

The Architecture of Cognitive Vulnerability to Depressive Symptoms in Adolescence: A Longitudinal Network Analysis Study

Marchetti

Pössel

Koster

2020

Res Child Adolesc Psychopathol

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“…Hopelessness can be defined as the negative expectations about future situations and events which could involve the self and the others (14). People who have these negative expectations think they cannot solve their problems, they never reach their goals (14), and that there will be more negative than positive times in their future (15). Beck considers hopelessness as the third component of his cognitive negative triad of depression which already involves the self and the world/environment (16,17).…”

Section: Introductionmentioning

confidence: 99%

Resilience as a Mediator Between Interpersonal Risk Factors and Hopelessness in Depression

et al. 2020

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Several studies investigated the role of resilience as a mediating factor for psychopathological phenotypes. The aim of the current study is to explore the putative role of resilience as a mediator between different vulnerability factors and depressive symptoms. One hundred and fifty patients with a major depressive disorder diagnosis have been evaluated on the basis of humiliation (Humiliation Inventory), adverse past family experiences (Risky Family Questionnaire), hopelessness (Beck Hopelessness Scale), and resilience (Resilience Scale for Adult) scores. A multiple regression analysis and a bootstrapping method were carried out to assess the hypothesis that resilience could mediate the relationships between these risk factors as predictors and hopelessness as a dependent variable. Our results show that resilience has a mediating role in the relationship between several risk factors that are specifically involved in interpersonal functioning and hopelessness. The main limitations of the study are the cross-sectional nature of the study, the use of self-report instruments, the lack of personality assessment, and the consideration of the resilience as a unique construct. The understanding of the mechanisms through which resilience mediates the effects of different interpersonal risk factors is crucial in the study of depression. In fact, future prevention-oriented studies can also be carried out considering the mediating role of resilience between interpersonal risk factors and depressive symptoms.

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“…First of all, the level of item informativeness was checked (Mullarkey et al, 2018(Mullarkey et al, , 2019Marchetti, 2019). Each item was compared to the mean level of informativeness of the CPI-HP (0.078) plus/minus 2.5SDs (0.194).…”

Section: Discussionmentioning

confidence: 99%

Psychological Differences Among Healthcare Workers of a Rehabilitation Institute During the COVID-19 Pandemic: A Two-Step Study

2021

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Introduction: Healthcare workers facing the threatening COVID-19 can experience severe difficulties. Despite the need to evaluate both the psychological distress and positive protective resources, brief and reliable assessment tools are lacking.Aim: Study 1 aimed at developing a new assessment tool to measure psychological distress and esteem in healthcare workers during the COVID-19 pandemic. Study 2 aimed to explore and compare the psychological reactions of healthcare workers of the COVID-19 and the non-COVID-19 wards.Methods: In Study 1, psychologists created 25 items based on their clinical experience. A preliminary qualitative evaluation selected the best 15 items for the new tool (CPI-HP) assessing the COVID-19 psychological impact with 2 scales: psychological distress and esteem. The CPI-HP was administered to 110 healthcare professionals to study its psychometric properties and the internal structure with exploratory graph analysis and confirmatory factor analysis. Study 2 compared two groups of healthcare professionals of the COVID-19 and non-COVID-19 departments.Results: In Study 1, the CPI-HP showed satisfying psychometric properties, and the two-factor structure was confirmed with good fit indices. In Study 2, the two groups of healthcare workers showed comparable levels of psychological distress and resilient coping, but the COVID-19 group displayed significantly higher esteem and appreciation of the experience.Discussion: All operators showed high psychological distress during the emergency, but the COVID-19 group reported higher resources, probably due to stronger group cohesion and greater esteem, perceived meaning, and own work value.Conclusion: Assessing the psychological distress and resources of healthcare professionals with specific tools is important. Psychological interventions should promote their psychological health.

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Hopelessness: A Network Analysis

Cited by 81 publications

References 51 publications

The Architecture of Cognitive Vulnerability to Depressive Symptoms in Adolescence: A Longitudinal Network Analysis Study

The Architecture of Cognitive Vulnerability to Depressive Symptoms in Adolescence: A Longitudinal Network Analysis Study

Resilience as a Mediator Between Interpersonal Risk Factors and Hopelessness in Depression

Psychological Differences Among Healthcare Workers of a Rehabilitation Institute During the COVID-19 Pandemic: A Two-Step Study

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