The Role of Character Strengths in Depression: A Structural Equation Model

Tehranchi, Ata; Doost, Hamid Taher Neshat; Amiri, Shahrokh; Power, Michael

doi:10.3389/fpsyg.2018.01609

Cited by 36 publications

(46 citation statements)

References 58 publications

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“…Although the aetiology of depression is complex, over the past decades, there has been evidence that cognitive vulnerability to depression plays an important role in the aetiology of depression (Tehranchi et al . 2018). The ease with which such negative cognitions can be (re‐)activated by sad mood states was labelled cognitive reactivity (CR) (Van der Does 2002).…”

Section: Introductionmentioning

confidence: 99%

“…2013; Tehranchi et al . 2018). The comprehensive direct or indirect relationships among vulnerability and capability factors, CR, and depression are still unknown.…”

Section: Introductionmentioning

confidence: 99%

“…However, Tehranchi et al . (2018) found that CR has no direct influence on depression and displays indirect effects on depression through the mediation of negative affect (Tehranchi et al . 2018).…”

Section: Introductionmentioning

confidence: 99%

“…Tehranchi et al . (2018) found that CR is positively related to negative affect, the relationship between CR and depression is also mediated by negative affect, and CR mediates the relationship between character strengths and depression (Tehranchi et al . 2018).…”

Section: Introductionmentioning

confidence: 99%

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Cognitive reactivity among high‐risk individuals at the first and recurrent episode of depression symptomology: A structural equation modelling analysis

Huang

Chen

Lin

et al. 2020

Int J Mental Health Nurs

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Understanding the particular mechanisms by which vulnerability and capability factors influence cognitive reactivity (CR) can contribute to an enhanced capacity to adequately react to depression. However, few studies have explored the CR model. The main aim of the present study was to develop a model that specifies the predictive effects of CR for depression among individuals at high risk for first‐episode and recurrent depression. A national cross‐sectional, online study using convenience sampling was conducted among 587 vulnerable healthy individuals and 224 depressed patients in China. A battery of indices, including measures of CR, social support, resilience, self‐compassion, life events, neuroticism, sleep condition, and negative emotion, were collected. A structural equation model was applied to analyse the data. The final first‐episode and recurrent depressive symptoms of the CR models showed good model fit. According to the models, 45%–52% of the variance in depressive symptom was predicted by CR. Social support, self‐compassion, resilience, and positive life events directly influenced CR, with β values ranging from −0.18 to −0.24 (P < 0.01). Neuroticism, negative emotion, poor sleep conditions, and negative life events also directly and positively influenced CR (P < 0.01). The relationship between these negative or positive contributing factors and depression was also indirectly influenced by CR (P < 0.01). Our findings demonstrate the role of CR in the prevention and treatment of depression. The first‐episode and recurrent depressive symptoms of the CR models considering both vulnerabilities and capabilities of CR in the psychopathology of depression provide a theoretical basis for interventions that reduce CR in high‐risk populations.

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Section: Introductionmentioning

confidence: 99%

“…2013; Tehranchi et al . 2018). The comprehensive direct or indirect relationships among vulnerability and capability factors, CR, and depression are still unknown.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Cognitive reactivity among high‐risk individuals at the first and recurrent episode of depression symptomology: A structural equation modelling analysis

Huang

Chen

Lin

et al. 2020

Int J Mental Health Nurs

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“…Standardized regression coefficient (β) and p values for β of direct, indirect, and total effects were identified and reported by path analysis. Also, to compare the modified pathway with the initial pathway, we applied the Akaike information criterion (AIC) [ 27 ].…”

Section: Methodsmentioning

confidence: 99%

Acculturation, HIV-Related Stigma, Stress, and Patient-Healthcare Provider Relationships Among HIV-Infected Asian Americans: A Path Analysis

Huang

Chen

Shiu

et al. 2020

J Immigrant Minority Health

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Acculturation may limit HIV-positive Asian Americans’ active interactions with patient-healthcare providers (HCP) and utilization of HIV healthcare services; however, the specific mediation effect of acculturation still unknown. A bias-corrected factor score path analysis was performed to examine the proposed model of relations among acculturation, stigma, stress, and patient-HCP relationships. A convenience sample of 69 HIV-positive Asian Americans in San Francisco, Los Angeles, and New York City were recruited and collect data were collected on demographics, HIV-related stigma, stress, and patient-HCP relationships. HIV stigma and stress had a direct, negative effect on patient-HCP relationships. Acculturation had a positive total effect on patient-HCP relationships, and was mediated by HIV stigma and stress. A acculturation also had a direct impact on stigma and stress. Acculturation, HIV-related stigma, and stress are key elements to achieving good patient-HCP relationships, and provide insights on the design of culturally sensitive interventions to improve patient-HCP relationships.

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Predictor variables of mental health in the Spanish population confined by COVID‐19

et al. 2022

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Background: Drastic changes in the lifestyle of individuals have been caused by coronarivus SARS-CoV-2 with lethal effects associated with COVID-19, which acts as a stressor for the population with adverse effects on mental health status. The aim was to identify which sociodemographic variables and psychological factors predict psychological disorders in the general Spanish population. Methods:The sample consisted of 699 people exposed to a confinement situation, where 402 (57.51%) were women and 297 (42.49%) were men, between 18 and 73 years old (M = 27.79; SD = 12.68). Different sociodemographic and psychological variables were assessed to see if they predicted levels of anxiety and depression. Results:The results identify the predictive capacity of some sociodemographic risk variables such as sex (β = .144; IC95% = 1.341-3.376) and living with people who are ill with COVID-19 (β = .088; IC95% = 1.157-6.785), as well as protective factors such as self-efficacy (β = −.126; IC95% = −0.282-0.066) and hope (β = −.429; IC95% = −0.591-0.408) in mental health. In predicting anxiety levels, self-efficacy and hope are protective factors, especially when living with people in essential services. In levels of depression, only hope is considered a protective factor in people living with patients infected by COVID-19. Conclusions:This study is the first to advance in the understanding of sociodemographic and psychological variables in a Spanish sample subjected to the stressful and traumatic effects of the SARS-CoV-2 viral agent.

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The Role of Character Strengths in Depression: A Structural Equation Model

Cited by 36 publications

References 58 publications

Cognitive reactivity among high‐risk individuals at the first and recurrent episode of depression symptomology: A structural equation modelling analysis

Cognitive reactivity among high‐risk individuals at the first and recurrent episode of depression symptomology: A structural equation modelling analysis

Acculturation, HIV-Related Stigma, Stress, and Patient-Healthcare Provider Relationships Among HIV-Infected Asian Americans: A Path Analysis

Predictor variables of mental health in the Spanish population confined by COVID‐19

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