Emotion regulation in patients with cardiovascular disease: development and validation of the stress and anxiety regulation strategies scale (STARTS)

Castillo‐Mayén, Rosario; Luque, Bárbara; Gutiérrez‐Domingo, Tamara; Cuadrado, Esther; Arenas, Alicia; García, Sebastián Rubio; Quintana-Navarro, Gracia M.; Delgado-Lista, Javier; Tabernero, Carmen

doi:10.1080/10615806.2020.1866173

Cited by 8 publications

(13 citation statements)

References 49 publications

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“…This measure has shown adequate psychometric properties for assessing regulation strategies in patients with CVD. 20 …”

Section: Methodsmentioning

confidence: 99%

“…The scale has shown good psychometric values in various countries. 46 Passive strategies to regulate stress We selected the passive strategies subscale of the Stress and Anxiety Regulation Strategies Scale 20 to assess the use of passive strategies to manage stressful situations. This consists of eight items that ask participants to indicate how frequently they use passive strategies (eg, 'watch TV') to regulate feelings of stress or anxiety.…”

Section: Self-efficacy In Regulating Negative Emotionsmentioning

confidence: 99%

“…This measure has shown adequate psychometric properties for assessing regulation strategies in patients with CVD. 20 Patient and public involvement Although patients were surveyed, no patients or members of the public were directly involved in its design, conduct, reporting or dissemination.…”

Section: Self-efficacy In Regulating Negative Emotionsmentioning

confidence: 99%

“…As for strategies focused on regulating stress and anxiety, patients with CVD have shown a preference for using passive strategies over physical and intellectual ones. 20 Patient-reported health status, frequently considered a measure of health-related quality of life (HRQOL), 21 22 is getting more attention in CVH research. Recent studies have reported an important association between these two factors in both healthy adults 23 24 and clinical samples.…”

Section: Introductionmentioning

confidence: 99%

“…As for strategies focused on regulating stress and anxiety, patients with CVD have shown a preference for using passive strategies over physical and intellectual ones. 20 …”

Section: Introductionmentioning

confidence: 99%

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Positive psychological profiles based on perceived health clustering in patients with cardiovascular disease: a longitudinal study

et al. 2021

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ObjectivesPsychological well-being and sociodemographic factors have been associated with cardiovascular health. Positive psychological well-being research is limited in the literature; as such, this study aimed to investigate how patients with cardiovascular disease could be classified according to their perceived mental and physical health, and to identify positive psychological profiles based on this classification and test their stability over time.Design and settingLongitudinal study with patients from a public hospital located in Córdoba (Spain).ParticipantsThis study comprised 379 cardiovascular patients (87.3% men) tested at three measurement points.Outcome measuresParticipants reported their sociodemographic variables (age, sex, educational level, employment and socioeconomic status) at phase 1, while their perceived health and variables relating to positive psychological well-being were tested at this and two subsequent time points (average interval time: 9 months).ResultsThe two-step cluster analysis classified participants into three groups according to their mental and physical health levels, p<0.001: high (n=76), moderate (n=113) and low (n=189) perceived health clusters. Low perceived health was the largest cluster, comprising almost half of patients. Clusters significantly differed according to sex, p=0.002, and socioeconomic level, p=0.004. The profile analysis indicated that participants in the high perceived health cluster showed high positive affect, positivity, life satisfaction, and self-efficacy in emotion regulation, and less negative affect and use of passive strategies over the three measurement points (95% CI, all ps<0.01). Moreover, psychological profile stability for each cluster was generally found over an 18-month period, all ps<0.05.ConclusionCardiovascular patients may differ in terms of their perceived health and, accordingly, in terms of other relevant variables. Perceived health clusters generated varying and generally stable psychological profiles based on positive psychological well-being variables. Psychological interventions should be adapted to patients’ requirements.

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“…This measure has shown adequate psychometric properties for assessing regulation strategies in patients with CVD. 20 …”

Section: Methodsmentioning

confidence: 99%

Section: Self-efficacy In Regulating Negative Emotionsmentioning

confidence: 99%

Section: Self-efficacy In Regulating Negative Emotionsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…As for strategies focused on regulating stress and anxiety, patients with CVD have shown a preference for using passive strategies over physical and intellectual ones. 20 …”

Section: Introductionmentioning

confidence: 99%

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Positive psychological profiles based on perceived health clustering in patients with cardiovascular disease: a longitudinal study

et al. 2021

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Physical and social anhedonia in female adolescents: A factor analysis of self-report measures.

Yang

Casement

Keenan

et al. 2022

Emotion

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Anhedonia is a transdiagnostic symptom of psychopathology that includes diminished positive emotions and anticipation and enjoyment of reward, with particular salience during adolescence. However, the construct validity of anhedonia dimensions is not well established, thus limiting operationalization and generalization of the construct. We applied exploratory and confirmatory factor analyses to identify latent dimensions of anhedonia across four commonly used self-report measures covering different facets of anhedonic experience within a nonclinical sample of female adolescents across two waves of data collection (N = 173, Mage = 19.25; N = 147, Mage = 20.23). Factor analyses yielded a two-factor model with a physical anhedonia factor emphasizing enjoyment from physical sensations and a social anhedonia factor focusing on emotional connections with other people. These results have implications for the measurement of anhedonia in women’s emotional well-being and mental health research, including research designed to identify facets of anhedonia that predict the onset, severity, and persistence of psychopathology.

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Predicting physical activity and quality of life in coronary heart disease patients: An 18-month path analysis of motivational and emotional factors.

Zanatta,

Tabernero,

Steca

et al. 2024

Health Psychology

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Objective: Investigating factors that promote cardiovascular health outcomes is essential for secondary prevention. In a sample of coronary heart disease patients, we examined the direct and indirect effects of selected psychological factors on physical activity behavior and health-related quality of life (HRQoL) over 18 months. Method: Patient-reported data were collected over three time points. Through structured equation modeling, a longitudinal path analysis was conducted to estimate the indirect effects of baseline HRQoL and cardiac self-efficacy on reported physical activity behavior and HRQoL (evaluated at 18 months) through the mediation of anxiety and depression symptoms, patients' reported intention to change the behavior, and emotions regulation strategies (evaluated at 9 months). Results: A total of 410 patients were included. Significant indirect effects of baseline HRQoL (β = .05, 95% CI [−0.001, 0.111]) and cardiac self-efficacy (β = .105, 95% CI [0.06, 0.16]) on physical activity behavior were found, with anxiety symptoms and emotions regulation strategies as significant mediators. Additionally, the mediation of reported intention in the association between cardiac self-efficacy and physical activity levels was estimated. At the final follow-up, we also found a significant direct association between physical activity behavior and HRQoL (β = .12, p , .01), which was indirectly impacted by baseline HRQoL (β = .006, 95% CI [0.000, 0.017]) and cardiac self-efficacy (β = .012, 95% CI [0.003, 0.027]). Conclusions: This study underlines the significance of addressing stress management, anxiety symptoms reduction, and cardiac self-efficacy enhancement when targeting better cardiovascular health outcomes. Identifying cardiovascular risk profiles based on these findings may benefit future clinical practice and further inform secondary prevention policy guidelines. Public Significance StatementThis study followed coronary heart disease patients over 18 months to better understand how certain psychological factors affect their physical activity and quality of life. Results showed that improving emotional state, cardiac self-management, and setting achievable physical activity goals can lead to better cardiovascular health outcomes. These findings further underscore the significance of personalized care approaches that recognize patients' psychological and behavioral characteristics when advancing clinical recommendations and developing secondary prevention policies.

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Emotion regulation in patients with cardiovascular disease: development and validation of the stress and anxiety regulation strategies scale (STARTS)

Cited by 8 publications

References 49 publications

Positive psychological profiles based on perceived health clustering in patients with cardiovascular disease: a longitudinal study

Positive psychological profiles based on perceived health clustering in patients with cardiovascular disease: a longitudinal study

Physical and social anhedonia in female adolescents: A factor analysis of self-report measures.

Predicting physical activity and quality of life in coronary heart disease patients: An 18-month path analysis of motivational and emotional factors.

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