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CLINICAL TRIAL article

Front. Psychol., 19 November 2024
Sec. Health Psychology
This article is part of the Research Topic The Interplay of Stress, Health, and Well-being: Unraveling the Psychological and Physiological Processes - Volume II View all 27 articles

PsicoCare: a pilot randomized controlled trial testing a psychological intervention combining cognitive-behavioral treatment and positive psychology therapy in acute coronary syndrome patients

Ins Magn,
&#x;Inés Magán1,2*Rosa Jurado-Barba,&#x;Rosa Jurado-Barba1,2Guillermo Moreno,,Guillermo Moreno3,4,5María Paz Ayn-SanzMaría Paz Ayán-Sanz6Juan Izquierdo-GarciaJuan Izquierdo-Garcia6Guido Corradi,Guido Corradi1,7Rocio Tello,Rocio Tello3,4Hctor Bueno,,,,&#x;Héctor Bueno3,4,8,9,10
  • 1Facultad HM de Ciencias de la Salud de la Universidad Camilo José Cela - Villanueva de la Cañada, Madrid, Spain
  • 2Instituto de Investigación Sanitaria HM Hospitales, Madrid, Spain
  • 3Instituto de Investigación Hospital 12 de Octubre (Imas12), Madrid, Spain
  • 4Department of Cardiology, Hospital Universitario 12 de Octubre, Madrid, Spain
  • 5Facultad de Enfermería, Fisioterapia y Podología, Universidad Complutense de Madrid, Madrid, Spain
  • 6Department of Rehabilitation, Hospital Universitario 12 de Octubre, Madrid, Spain
  • 7Departamento de Psicología, Universidad Villanueva, Madrid, Spain
  • 8Multidisciplinary Translational Cardiovascular Research Group, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain
  • 9Facultad de Medicina, Universidad Complutense de Madrid, Madrid, Spain
  • 10Centro de Investigación Biomédica en Red Enfermedades Cardiovaculares (CIBERCV), Madrid, Spain

Background: Although psychological factors play a significant role in the onset and prognosis of acute coronary syndrome (ACS), psychological interventions (PIs) are rarely included in cardiac rehabilitation (CR) programs due to inconclusive evidence regarding specific intervention components and effect sizes. This study aimed to assess the efficacy of a PI based on cognitive-behavioral treatment (CBT) and positive psychology therapy (PPT) in improving psychological and clinical outcomes in patients with ACS.

Methods: This PsicoCare trial was an open-label randomized controlled trial that compared a combined CBT and PPT-based PI (the PsicoCare program) with a standard CR program (control group). We recruited 87 ACS patients, and psychological outcomes, functional capacity, biochemical and anthropometric measures, and clinical outcomes were assessed at baseline, 2 months, and 9 months after the ACS event.

Results: The PsicoCare group showed significant improvements in depression, anger traits, anger-in, and anger control-out compared to the control group. Additionally, the PsicoCare intervention was associated with the improved maintenance of cognitive function, social support, and spiritual coping styles, while the control group showed deterioration in these areas. Patients experiencing severe ACS showed significant improvement in personal strength and meaning as a result of the PsicoCare intervention. However, no significant effects were observed on anxiety, anger-out, emotion regulation skills, dispositional optimism, other personal strengths, or quality of life. Both groups demonstrated similar improvements in functional capacity and clinical outcomes.

Conclusion: The study suggests that CBT and PPT-based PIs may offer additional benefits for ACS patients, particularly regarding their psychological health. Further larger trials are required to confirm these findings.

Clinical trial registration: identifier, NCT05287061.

1 Introduction

Acute coronary syndromes (ACS) are characterized by a multifactorial nature influenced by classical cardiovascular (CV) risk factors such as sex, age, health status, body mass index, diabetes, and cholesterol levels, as well as lifestyle factors including smoking, exercise habits, and dietary choices. Additionally, psychological factors such as stress and negative emotions, including depression, anxiety, anger, and hostility, also play a significant role (Linden et al., 2007; Rozanski, 2014; Knuuti et al., 2020). Indeed, these psychological factors not only contribute to the onset of ACS but are also associated with poorer prognosis and an increased risk of recurrence (Nicholson et al., 2006; Chida and Steptoe, 2009; Roest et al., 2010; Russ et al., 2012).

Since the 90s, many well-designed studies testing the efficacy of different psychological interventions (PIs) for patients with ACS or CV disease have been conducted, as it has been thoroughly discussed in different meta-analyses and systematic reviews (Linden, 2000, 2013; Linden et al., 2007; Dickens et al., 2013; Rutledge et al., 2013; Richards et al., 2018; Magán et al., 2021, 2022). Specifically, PIs have shown benefits not only for psychological outcomes (depression, anxiety, stress, anger, and hostility) (Linden, 2000, 2013; Linden et al., 2007; Dickens et al., 2013; Rutledge et al., 2013; Richards et al., 2018; Magán et al., 2021) but also for biomedical and clinical outcomes (i.e., heart rate, total cholesterol, CV morbimortality or global mortality) (Linden et al., 2007; Rutledge et al., 2013; Richards et al., 2018; Magán et al., 2022).

These data are important because there is sufficient evidence supporting that patients with stress, anxiety and depression symptoms, or dysfunctional anger-hostility after suffering a cardiac event tend to have a worse prognosis, a higher risk of CV relapse or global morbimortality (Nicholson et al., 2006; Chida and Hamer, 2008; Roest et al., 2010). Although the mechanisms explaining the effects of PIs on CV health remain inconclusive, there may be two plausible pathways: a direct one that could increase cardiovascular risk by activating the central nervous and sympathetic systems, leading to dysfunctional CV reactivity and delayed recovery from physiological changes (e.g., elevated levels of glucocorticosteroids, cortisol, epinephrine, norepinephrine, heart rate, blood pressure, or inflammatory mediators) (Lovallo and Gerin, 2003; Schwartz et al., 2003; Hamer and Malan, 2010; Steptoe and Kivimäki, 2013; Rozanski, 2014; Wirtz and von Känel, 2017), and indirect mechanisms, as negative affect and stress, are often linked to unhealthy lifestyles and to a poor adherence to medication and medical recommendations (Rozanski, 2014).

Despite the potential efficacy of psychological interventions (PIs) on psychological and clinical outcomes (Magán et al., 2021, 2022), they are rarely included in usual cardiac rehabilitation (CR) programs (Poffley et al., 2017; Moghei et al., 2019), with exceptions (Abreu et al., 2019; Supervia et al., 2019). This could be explained by the fact that some variables relevant to treatment design remain inconclusive, such as the specific components to be included, the professional who should design and develop the PIs, or the duration of the intervention (Linden, 2013). Moreover, although PIs are beneficial, their effects are modest in size (Linden, 2000; Linden et al., 2007; Dickens et al., 2013; Rutledge et al., 2013; Richards et al., 2018).

Cognitive-behavioral treatment (CBT) has been empirically supported as the most effective type of PI for patients with ACS, especially if it is multi-component (including psychoeducation, relaxation techniques, problem-solving training, cognitive restructuring, stress, and anger management), individualized, and designed and applied by a health psychologist or a therapist specifically trained on mental health interventions (Linden, 2013).

However, CBT-based PIs for ACS patients have predominantly focused on changing negative emotions and lifestyle habits (Linden, 2000, 2013) rather than on enhancing positive psychological dimensions and wellbeing, despite its potential benefits in ACS patients (Huffman et al., 2016; Magán et al., 2021; Mohammadi et al., 2018; Sanjuan et al., 2016; Bolier et al., 2013; Nikrahan et al., 2016). Based on the positive psychology paradigm (Seligman et al., 2005), a new concept—cardiovascular positive health—has emerged (Labarthe et al., 2016), focusing on positive psychological factors such as dispositional optimism, positive emotions, life purpose, and life satisfaction, which have been empirically supported for their cardioprotective role (Boehm and Kubzansky, 2012; DuBois et al., 2015; Labarthe et al., 2016). Some PIs based on this paradigm have shown positive effects on cardiac rehabilitation patients (Bolier et al., 2013; Huffman et al., 2016; Nikrahan et al., 2016; Sanjuan et al., 2016; Mohammadi et al., 2018), and recent meta-analyses have concluded their benefits in improving life satisfaction, wellbeing, and reducing distress (Magán et al., 2021, 2022; Tönis et al., 2023).

PPT interventions can include only one component that focuses on positive thoughts and feelings, optimism, or gratitude. However, they are predominantly multicomponent. These interventions typically include practices aimed at developing gratitude, kindness, forgiveness, positive emotions, strengths, virtues, life purposes, and optimism, drawing on the proposals of Fredrikson, Seligman, and Fordyce. Although the evidence remains inconclusive, these positive dimensions may contribute to promoting CV health and mitigating the progression of CV disease through two pathways: a direct pathway, in which they influence biological processes associated with CV health (e.g., immune system function, low cortisol levels, CV reactivity, and heart rate function), and an indirect pathway, where they seem to foster the acquisition and maintenance of healthy lifestyles alongside a broader array of social and psychological CV protective factors (Steptoe et al., 2005; Labarthe et al., 2016; Rozanski et al., 2019).

Nevertheless, the approach of a combined CBT and positive psychology therapy (PPT)-based PI to improve psychological and clinical outcomes has not been tested so far.

PsicoCare is an open-label randomized controlled trial (RCT) aimed to assess the efficacy of a PI based on CBT and PPT principles, compared with a standard CR program (control group) in ACS patients. Specifically, the aim was to assess the benefits of the intervention in the following areas: (1) psychological factors—both negative ones (anxiety, depression, anger, coping, and emotion regulation) and positive psychological dimensions (psychological strengths, dispositional optimism, and quality of life), (2) functional capacity, and (3) biochemical and anthropometrical outcomes, as well as clinical outcomes of CV and global morbimortality. It was expected that the benefits of PsicoCare treatment would be significantly greater in these areas than in the control group.

2 Materials and methods

2.1 Participants

Participants were recruited from the Cardiology Department following an acute coronary event (myocardial infarction (MI) or unstable angina) before being referred to the CR program. The inclusion criteria were: (1) age ≥ 18 years, (2) hospitalization for an acute coronary event (MI or angina), and (3) referral to the hospital CR program. Exclusion criteria were a final diagnosis other than ACS, diagnosis of a major psychiatric disorder (these cases were referred to the hospital psychiatric service), and inability to follow the program for any reason (logistics, language barriers, and so on).

As this is pilot research and in line with Lakens (2022) conclusions, it was decided to optimize all available research and hospital resources. Therefore, the sample size criteria were based on including the maximum number of patients available during the study period. Thus, no a priori power analysis was conducted.

All patients who met the inclusion criteria without any exclusion criteria were invited to participate in the study by either the cardiologist or the nurse (HB or GM), and after signing the written informed consent, they were randomly assigned to the treatment group (PsicoCare program) or to the control group (usual care CR program) by the nursing staff (GM). A simple randomization method was used to minimize potential selection and allocation biases across groups. Both the professionals and the patients were aware of the assigned treatment branch, as blinding was not possible. Once patient consent was obtained and randomization to the intervention or control group occurred, trained health psychologists were notified to develop the psychological baseline assessment protocol and carry out the intervention.

Sociodemographic data (age, sex, educational level, marital status, and employment status), health status (including CV disease and other comorbidities), and ACS event characteristics (ACS type, the presence of chronic ACS, percutaneous intervention, bypass and complete revascularization, stroke, and bleeding during hospitalization, and Killip index) were recorded by cardiologists and cardiology nurses during the baseline clinical and medical assessment at the time of hospitalization.

Initially, 117 patients were enrolled in the study, 103 of whom were randomized into two independent groups (see flowchart in Figure 1), and finally, 87 began the trial: PsicoCare (n = 51) and control group (n = 36). Baseline characteristics for both groups are presented in Table 1. Overall, both groups were similar, with a majority of male patients and an average age of 57 in the PsicoCare group and 60 years old in the control group. Most patients had a primary or secondary education level (53.8% in the PsicoCare group vs. 62.6% in the control group) and were working or retired due to age (65.4% vs. 70.2%).

Figure 1
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Figure 1. Flowchart diagram.

Table 1
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Table 1. Differences between groups on sociodemographic, health status, ACS characterization, biochemical and anthropometrical data, and psychological outcomes at baseline assessment during hospitalization (N = 87).

There were no statistically significant differences between the groups in terms of risk factors, prior CV history, ACS characteristics, or treatment with percutaneous intervention.

2.2 Measures and outcomes

Given the specific objectives to test the efficacy of PsicoCare vs. standard treatment, all obtained measures were considered primary outcomes. The instruments and variables used are specified below.

Psychological outcomes: as described above, psychological outcomes were measured at times 1, 2, and 3 (Supplementary Figure S1).

- Anxiety and depressive symptomatology: Hospital Anxiety and Depression Scale (HADS) (Zigmond and Snaith, 1983; Tejero et al., 1986).

- Anger facets: State–Trait Anger Expression Inventory 2-STAXI 2 anger trait, anger expression, and anger control scales (Spielberger et al., 2001; Spielberger, 1999).

- Coping skills: Coping Questionnaire short form, COPE 28 (Carver, 1997; Morán et al., 2010).

- Emotion regulation skills: Difficulties in Emotion Regulation Scale (DERS) (Gratz and Roemer, 2004; Hervás and Jódar, 2008)

- Dispositional optimism: Life Orientation Test revised LOT-R (Scheier et al., 1994; Otero et al., 1998).

- Personal strengths: Positive Emotion, Engagement, Relationships, Meaning, and Accomplishment Questionnaire (PERMA) (Seligman, 2011).

- Quality of life: Questionnaire SF-12 (Ware et al., 1996; Vilagut et al., 2008)

Functional capacity outcomes were measured using two stress tests conducted by a specialized physiotherapist and physician at times 2 and 3, and included the following parameters: stress test time, METS, resting and maximal blood pressure and heart rate levels, the clinical and electrical significance of the stress test, and the presence of arrhythmia during the test.

Biochemical and anthropometrical outcomes were measured at times 1 and 3 by a cardiologist, including blood pressure, heart rate, body mass index, LDL cholesterol, and glycated hemoglobin were considered.

Clinical outcomes were recorded from electronic health records 9 months after the ACS event (posttreatment assessment), at time 3. Non-fatal MI, non-fatal stroke, hospitalization for CV cause, all-cause mortality, and CV mortality were the outcomes considered in this study.

2.3 Procedure

2.3.1 Study protocol

Once informed consent was obtained, participants were randomized and assigned to one of two arms: the experimental group (PsicoCare) and the control group (usual care CR program). The trial protocol is described in detail in Supplemental Material 1.

All patients were assessed at three different times (Supplementary Figure S1): (1) Time 1, initial baseline assessment (biochemical, anthropometric, clinical, and psychological outcomes) conducted during the first 48 h after the cardiac event; (2) Time 2, pretreatment assessment (psychological and functional capacity outcomes), 2 months after the event (with a + - 2 weeks before or after deviation in order to have enough participants for each condition), and (3) Time 3, posttreatment assessment (clinical, psychological and functional capacity), 9 months after the event. Specific outcomes are described below.

PsicoCare patients (experimental group) received a short early intervention called Health Pills during hospitalization. After a period of 2 months, the PsicoCare group started the first phase of the group intervention program (Phase 1), followed by the standard CR program, similar to the control group (Supplementary Figure S1). The PsicoCare group then completed Phase 2, which consisted of the final three group sessions. Supplementary Figure S1 and Table 1 describe the PsicoCare treatment procedure and protocol.

Patients allocated to the control group received only the standard CR program, which included a group education program and a physical activity training program (Supplementary Figure S1). They were assessed at the same three-time points as the PsicoCare group.

2.3.2 Intervention

As described above, the experimental PsicoCare program was implemented during the final phase of hospitalization and continued after discharge, comparing its effects with the standard CR program at three different time points.

Briefly, the PsicoCare program was a PI based on CBT and PPT principles designed by specialized health psychologists and structured in two parts: (1) a short early intervention called Health Pills, consisting of two individual sessions developed by trained health psychologists.

The first session took place within the first 48 h after hospitalization, followed by the second 1 week after discharge. These sessions used motivational interviewing and emotional discharge techniques to equip patients with coping strategies and emotional management skills (2). The second part of the intervention consisted of six weekly group sessions developed by two trained health psychologists (Supplementary Table S1), starting 2 months after discharge. The first three sessions, based on CBT and Seligman’s exercises (Seligman et al., 2005), aimed to (1) promote and consolidate personal growth after the CV event, (2) improve adaptive coping style, and (3) develop skills to manage negative emotions while fostering positive emotions. After completing the first three sessions, the patients allocated to the intervention arm completed the hospital CR program (see below). Then, the final three sessions of PsicoCare were developed to consolidate the skills learned, set life goals, and foster personal growth. The specific objectives and details of the PsicoCare sessions are described in Supplementary Table S1.

The control group received a conventional hospital CR program consisting of a clinical and educational program focused on optimizing secondary prevention therapies (lifestyle and medication) delivered by a team including cardiologists and specialist nurses and an 8-week group exercise program developed by a physical rehabilitation physician and physiotherapist. The education program provided knowledge about cardiac disease, medication, and lifestyle management. The exercise training program aimed to restore patients’ maximum physical capacity after the cardiac event and improve their social, family, and occupational quality of life, thereby reducing future cardiac morbidity and mortality.

2.4 Design and statistical analysis

This study was conducted according to a randomized clinical trial (RCT) design in the Cardiology Department of Hospital Universitario 12 de Octubre, Madrid (Spain), between the 1st of July 2017 and the 31st of October 2018 (registered at Clinical Trials, NCT05287061). Within the first 48 h after the cardiac event and during hospitalization, the enrollment proposal was made to those who a priori should meet the inclusion criteria. Once they accepted and the informed consent was signed, the baseline assessment and the first Health Pills session were developed (see Supplementary Figure S1). This RCT was reported according to CONSORT criteria (Schulz et al., 2010; Montgomery et al., 2018). This project was approved by the Ethics Committee of Hospital 12 de Octubre (17/171).

A 2×2 (group x assessment time) repeated measures experimental design was used in this RCT. χ2 and student’s t-test were used to assess the equivalence between groups for qualitative and quantitative variables at baseline assessment (Time 1). A linear mixed model analysis was performed to assess the effectiveness of the PsicoCare treatment condition compared to the control group. Linear mixed-effects models are the most suitable analyses to test the efficacy and treatment effects, as this statistical method simultaneously accounts for both between-subject and within-subject effects of the independent variables (Baayen et al., 2008), reducing type-I error and enhancing generalizability of the results. The database and statistical analysis were carried out using R statistical software.

Satterthwaite’s method for calculating degrees of freedom was used to correct post-hoc tests for multiple comparisons and p-values using the multivariate t-distribution adjustment (see Supplementary material S2). Two models were developed for each outcome of interest, including momentary assessment and group membership as an interaction to assess the effect of PsicoCare improvement. All models included participants as a random effect to capture the individual variability. The first model (Model 1) was set up to examine the effect of the condition (PsicoCare condition vs. control group), and the second model (Model 2) was set up to examine the effect of different variables of interest. The extended model included the triple interaction group x time x ACS severity. The control variables were sex, age, socioeconomic status, and ACS severity. To check whether our data were suitable for developing a linear mixed model analysis, model fit indices were calculated: Akaike’s Information Criteria (AIC), pseudo-R2 marginal (accounts for the fixed effect) and conditional (accounts for the whole model), as well as intra-class correlation coefficients (ICC) for the models. All model fit indices indicated our data were suitable for developing a linear mixed model analysis for checking Health Pills efficacy, as well as the PsicoCare efficacy program on psychological, physical function, and biochemical and anthropometric outcomes (see Supplementary Tables S2S5), showing a suitable intra-class correlation and explained variance. Model 2 showed better comparative goodness of fit index (using the AIC) for Health Pills efficacy analysis (Supplementary Table S2), but also for PsicoCare efficacy analysis on psychological, physical function, and biochemical and anthropometric outcomes (see Supplementary Tables S3S5, respectively, for details).

3 Results

3.1 Efficacy of health pills on psychological outcomes

Anxiety, depression, and quality of life were measured before the starting of the Health Pills phase at baseline (Time 1) and 2 months after this intervention phase. Despite numerically lower values in anxiety, depression, and physical and mental quality of life measures between both groups, these were not statistically significant differences in the simple (Model 1) or the complex model (Model 2), adjusted for sociodemographic variables and ACS type (Supplementary Tables S2, S6).

3.2 Efficacy of the PsicoCare program on psychological outcomes

The PsicoCare program improved some of the negative psychological outcomes between pretreatment and post-treatment assessment (Time 2 and Time 3; see Table 2 and Figure 2), specifically depressive symptoms (EMMT2-T3 1.10 ± 0.62 vs. −1.00 ± 0.68; b, −2.08; 95%CI, −3.90 to -0.26, β = −0.61, p = 0.03); anger trait (EMMT2-T3 = 1.24 ± 0.75 vs. 0.48 ± 0.52; b, -2.50; 95%CI, −4.65 to −0.34; β = −0.48) and anger-in (EMMT2-T3, −1.25 ± 0.80 vs. 1.58 ± 0.55; b = −2.03; 95%CI, −3.52 to −0.55; β = −0.65, p < 0.01). When sociodemographic variables and ACS type were controlled in Model 2 (Supplementary Table S3), both groups showed higher scores on control-out and control-in anger dimensions. The PsicoCare group showed a significant improvement compared to the control group in anger control-out (EMMT2-T3 = 1.35, SE = 0.65 vs. 0.28, SE = 0.64; b = −3.20, 95% CI, −5.90 to −0.51, β = −0.79, p = 0.021) due to the effect of the intervention, while the benefit on anger control-in was significantly higher in the control group (EMMT2-T3 = −2.00, SE = 0.85; b = −3.70, 95% CI, −7.21 to -0.19, β = −0.82, p < = 0.0104) than in the PsicoCare group (EMMT2-T3 = -1.16, SE = 0.84). There was not any significant effect found for either anxiety or anger-out expression style (Table 2).

Table 2
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Table 2. PsicoCare: psychological outcomes descriptive statistics and change score between pre and post-treatment assessment.

Figure 2
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Figure 2. PsicoCare and control group changes between pre- and post-treatment assessment on anxiety (HADS-D), anger-trait (STAXI 2), anger-in (STAXI 2), cognitive, social support, and spiritual coping (COPE 28).

Regarding coping styles, some modest benefits from the PsicoCare intervention emerged when compared to the standard CR program (Table 2, Figure 2, and Supplementary Table S3). The PsicoCare group maintained adequate cognitive coping skills (EMMT2-T3 = 2.90, SE = 0.77; b = 2.33, 95% CI, 0.26 to 4.4, β = 0.56, p = 0.032771), social support (EMMT2-T3 = 0.31, SE = 0.56; b = 1.67, 95% CI, 0.05 to 3.29, β = 0.49, p = 0.04), and spiritual coping skills (EMMT2-T3 = 0.04, SE = 0.24; b = 0.85, 95% CI, 0.18 to 1.52, β = 0.56, p = 0.013), whereas the control group experienced a decline in these areas (EMMT2-T3 = 0.57, SE = 0.72; EMMT2-T3 = 1.98, SE = 0.60 and EMMT2-T3 = 0.88, SE = 0.25, for cognitive, social support, and spiritual coping, respectively).

Furthermore, Model 2, which controlled for sociodemographic factors and ACS severity, showed a similar pattern but revealed stronger results for spiritual coping when comparing the PsicoCare and control groups (EMMT2-T3 = -0.05, SE = 0.24 vs. EMMT2-T3 = 0.91, SE = 0.25; b = 1.64, 95% CI, 0.6 to 2.68, β = 1.05, p = 0.003).

Although there were no significant benefits related to emotion regulation skills in Model 1 (Table 2 and Supplementary Table S3), Model 2 showed a significant effect of the intervention (b = 3.03, 95% CI, 0.28 to 5.78, β = 0.95, p = 0.031), predicting an increase in the lack of emotional attention regulation skills in the PsicoCare group compared to the control group (EMMT2-T3 = −1.15, SE = 0.65 vs. EMMT2-T3 = 0.07, SE = 0.66).

Finally, in relation to positive dimensions and quality of life, Model 2 revealed, after controlling for sociodemographic factors and ACS severity effect, a significant triple interaction (time x group x ACS type), showing patients who had suffered the most severe ACS event (STEMI) in the PsicoCare group compared to control group significantly improved the meaning strength dimension (EMMT2-T3 = 0.77 ± 0.62 vs. EMMT2-T3 = −1.16 ± 0.63; b, 1.94; 95%CI, 0.15 to 3.73; β = 1,12, p = 0.03) on dispositional optimism or the rest of psychological strengths or quality of life (Supplementary Table S3).

3.3 Efficacy of the PsicoCare program on functional, biochemical, anthropometric, and clinical outcomes

The PsicoCare group showed no benefit in any of the functional measured outcomes (Table 3 and Supplementary Table S4) biochemical and anthropometric outcomes (Table 3 and Supplementary Table S5).

Table 3
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Table 3. PsicoCare: ergometry physical outcomes, biochemical and anthropometric descriptive statistics, and change score between pre and post-treatment assessment.

Finally, regarding morbimortality outcomes (Table 4), although the control group required more new revascularization interventions, experienced a greater number of clinical outcomes, and necessitated more re-hospitalizations due to angina episodes, no statistical differences emerged between the groups.

Table 4
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Table 4. Differences in clinical outcomes during follow-up by group.

4 Discussion

PsicoCare evaluated the efficacy of a PI based on CBT and PPT principles on improving psychological factors, functional capacity, biochemical, anthropometric, and clinical outcomes, showing significant improvements in depression, anger trait, anger-in, and anger control-out compared with the usual care CR program and maintaining a more adaptive cognitive, social support, and spiritual coping styles. Patients who had experienced more severe ACS events showed greater personal strength of meaning improvement than the control group. However, there were no significant effects on anxiety, anger-out, avoidance coping, emotion regulation skills, dispositional optimism, or other personal strengths such as achievement, engagement, positive emotions, social relationships, or quality of life. The control group only showed a significant improvement in anger control and emotion regulation skills due to a lack of attention to emotions. Both groups achieved similar benefits in functional capacity measures and biochemical, anthropometric, and clinical outcomes.

The PsicoCare group intervention significantly improved depressive symptoms, supporting different meta-analyses (Linden et al., 2007; Dickens et al., 2013; Rutledge et al., 2013; Richards et al., 2018; Magán et al., 2021) and narrative reviews (Linden, 2000, 2013). However, in contrast with previous research (Michalsen et al., 2005; Richards et al., 2018), PsicoCare also promoted a more adaptive pattern of anger, not only reducing anger traits and anger-in but also promoting specific strategies for managing the experience of anger based on external cues (i.e., taking time-out to relax and reassess the situation to cope with it). The benefits observed for depression and certain dimensions of anger are likely due to the specific components of the PsicoCare treatment aimed at managing and coping with negative emotions following an ACS event. These improvements are particularly relevant, as depression and anger are important psychological factors that contribute to increased CV risk (Nicholson et al., 2006; Chida and Steptoe, 2009; Rozanski, 2014; Tully et al., 2015; Carney and Freedland, 2017). Depressive symptoms or dysfunctional anger increase the risk of morbidity and mortality after ACS, up to 90% with depression (Nicholson et al., 2006) and 24% with anger (Chida and Steptoe, 2009; Rozanski, 2014). For this reason, the need to screen and manage depression after an ACS is widely accepted (Fihn et al., 2014; Knuuti et al., 2020; McDonagh, et al., 2021), although no similar recommendations exist for anger (Michalsen et al., 2005).

Contrary to our expectations and prior evidence (Linden, 2000, 2013; Linden et al., 2007; Richards et al., 2018; Magán et al., 2021), there was no significant effect on anxiety, an important CV risk factor (Roest et al., 2010; Rozanski, 2014; Tully et al., 2015; Ossola et al., 2018). Both groups reduced their anxiety levels without difference between them. This unexpected result may be explained by a time-dependent attenuation of ACS-related anxiety and a dilution of the potential benefit of the intervention by the improvement produced by the standard CR program, which in our case included specific educational components for relaxation and stress management and breathing exercises.

The PsicoCare intervention significantly maintained a more functional cognitive, social support, and spiritual coping, while the control group deteriorated, probably explained by the specific components included in the experimental treatment. This is relevant because stress and dysfunctional coping after ACS have been shown to increase future morbidity and mortality risk by 72% (Arnold et al., 2012; Rozanski, 2014). Cognitive and social support coping styles are traditionally considered adaptive ways of dealing with problems and difficulties (Lazarus and Folkman, 1984; Carver, 2019), and both coping styles could contribute to a better adjustment to the new life situation after the coronary event, including all medical and lifestyle prescriptions. In contrast, there were no changes in emotion regulation strategies, perhaps because both groups already had adequate levels of these skills, with one exception: the PsicoCare group significantly reduced their attention to emotions. Although not paying enough attention to our emotions should be a dysfunctional strategy (Hervás and Jódar, 2008), the PsicoCare intervention was aimed at normalizing and accepting the experience of negative feelings, trying to facilitate coping, and managing them but not just focusing on the emotion without acting. Thus, it is possible that the PsicoCare intervention changed this pattern by redirecting the focus from negative emotions to accepting and normalizing these negative affective states.

Patients who had experienced the most severe ACS event showed a significant improvement in meaning personal strength due to the PsicoCare intervention, which could partially support the positive behavioral cardiology paradigm (Labarthe et al., 2016; Kubzansky et al., 2018; Steptoe, 2019; Boehm, 2021), what is coherent with the recent statement the American Heart Association has published, which outlines the key role of psychological wellbeing on CV health and encourages to include PIs aimed to improve psychological positive dimensions on preventive and CR programs (Levine et al., 2021). The PsicoCare intervention included specific components aimed at discovering patients’ values and purpose in life to enhance a meaningful personal life and personal growth after the event, as they are key components of psychological wellbeing, compliance, and health that could explain this intervention effect. The relevance of this finding is based on the CV-protective role of positive dimensions, especially meaning, values, and purpose in life, which appears to significantly reduce CV risk (Boehm and Kubzansky, 2012; Rozanski, 2014; Labarthe et al., 2016; Kubzansky et al., 2018; Boehm, 2021; Vos, 2021), especially because benefits were observed in all these more severe patients. However, there were no significant changes in the remaining psychological strengths (global, positive emotions, achievement, and social relationships) or in dispositional optimism. Although optimism is one of the most robust psychological cardioprotective factors (Rozanski, 2014; Rozanski et al., 2019), the lack of change in this dimension could be due to its dispositional state, which implies the characteristics of temporal stability and consistency between different situations. Therefore, perhaps the intervention should have focused more specifically and directly on this construct to achieve some changes and benefits on optimism.

CR programs aim not only to reduce CV risk and future morbidity and mortality but also to improve the quality of life in coronary patients (Fihn et al., 2014; Stenvall et al., 2017; Knuuti et al., 2020). However, the benefits of PIs in improving the quality of life of ACS McDonagh, et al. (2021) patients are weak (Richards et al., 2018), which is consistent with our results. PsicoCare did not improve the physical or mental dimensions of quality of life. The short time elapsed since the ACS event (9 months) could probably explain the lack of significant changes, as it should be in this period when patients are aware of the consequences of the CV event and try to adapt to their “new life.” Quality of life is a robust construct, so the changes in its dimensions are not usually perceived immediately. People need longer periods of time to become aware of changes in their quality of life (Anderson et al., 2016; Oldridge et al., 2022). Therefore, benefits on quality of life, at least on the mental dimensions, might have emerged if longer follow-ups had been developed.

Finally, both groups showed similar improvements in physical function and biomedical, anthropometric, and clinical outcomes, which is logical because both groups received the same usual care CR program (physical training and education program) and medical prescriptions. The difference between the two interventions was small, making our results more valuable. This was only a pilot study. By increasing our study’s statistical power and sample size, it is possible that some additional effects would emerge as significant. In addition, it is likely that the benefits on biochemical and clinical outcomes were not immediate and that psychological changes need to be long-lasting to positively affect biological outcomes, so longer follow-ups are probably required.

This research has some important limitations. One notable concern is the small sample size, which may explain the absence of statistically significant effects despite the presence of some differences. Additionally, the large number of outcomes considered could lead to random effects. However, the use of linear mixed-effect models helps control for this bias and enhances the generalizability of our results despite the limited sample size. Finally, patients are often required to attend multiple concurrent programs (educational, physical, psychological, etc.), which may interfere with their ability to participate fully and benefit from all interventions.

The PI whose efficacy was tested had two relevant novelties. First, it was based on two well-established psychological paradigms (CBT and PPT), based on the idea that, according to the positive behavioral cardiology paradigm, these two types of interventions working together would enhance the benefits and efficacy of PI in ACS patients. Second, it was structured in two phases: Health Pills, an early and brief intervention that was developed during the acute CV event phase, and the PsicoCare group intervention, which developed 2 months after the event. Health Pills resulted in additional benefits for patients in the experimental group compared to those in the control group. This may support the argument of Linden (2013), who suggested that the benefits of PIs were greater when the intervention started at least 2 months after the CV event. Being more resilient may make it easier to deal with the situation in a more adaptive style during these weeks without the need for a specific PI. Others, however, may benefit from a specific PI aimed at helping them to cope with their problem more functionally to improve various skills to cope with emotional distress and promote adherence, personal growth, wellbeing, and quality of life. Furthermore, it is possible that this early and brief psychological support did not produce the expected results because it was initiated very early, during the acute phase of the ACS, when patients may still be in shock, processing what has happened and focusing on their physical recovery. Thus, patients may not have been in the best position to benefit from such an early PI, as the cognitive and motivational resources required were not optimal.

In conclusion, CBT and PPT-based PIs in patients with ACS may have additional benefits compared to those produced by conventional CR programs, particularly at a psychological level. Further larger trials to prove these preliminary findings are warranted.

Data availability statement

The raw data supporting the conclusions of this article will be made available by the authors upon request.

Ethics statement

This study was approved by the Ethics Committee of Hospital 12 de Octubre. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.

Author contributions

IM: Conceptualization, Data curation, Formal analysis, Funding acquisition, Project administration, Supervision, Writing – original draft, Writing – review & editing. RJ-B: Conceptualization, Funding acquisition, Project administration, Supervision, Writing – original draft, Writing – review & editing. GM: Data curation, Investigation, Project administration, Writing – review & editing. MA-S: Conceptualization, Investigation, Writing – review & editing. JI-G: Conceptualization, Investigation, Writing – review & editing. GC: Data curation, Formal analysis, Validation, Writing – original draft. RT: Conceptualization, Investigation, Writing – review & editing. HB: Conceptualization, Funding acquisition, Supervision, Writing – review & editing.

Funding

The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. The study was partially funded by a grant from Universidad Camilo José Cela (2015-18).

Acknowledgments

We are grateful to the rest of The PsicoCare Research Group -Marta Redondo, Laura Casado, Beatriz Lamas, Elvira Nieto, Irene Alcolea, and Ana M. Bonilla, for their collaboration as PsicoCare psychologist, as well as to Catalina Munera, and Noelia de la Torre, because of their collaboration as cardiologist nurses-. Universidad Camilo José Cela for the financial funding. The CNIC is supported by the Instituto de Salud Carlos III (ISCIII), the Ministerio de Ciencia e Innovación and the Pro CNIC Foundation, and is a Severo Ochoa Center of Excellence (SEV-2015-0505).

Conflict of interest

HB receives research funding from the European Union (EU4H-2022-JA-03), Instituto de Salud Carlos III, Spain (FORTALECE program, PI21/01572), Sociedad Española de Cardiología, AstraZeneca, Boehringer Ingelheim, Janssen, and Novartis; and has received in the past consulting/speaking fees from Astra-Zeneca, Novartis, Novo Nordisk and Organon. RJ-B receives research funding from the Ministerio de Ciencia, Innovación y Universidades, Spain (PSI2015-68851-P).

The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpsyg.2024.1420137/full#supplementary-material

References

Abreu, A., Pesah, E., Supervia, M., Turk-Adawi, K., Bjarnason-Wehrens, B., Lopez-Jimenez, F., et al. (2019). Cardiac rehabilitation availability and delivery in Europe: how does it differ by region and compare with other high-income countries? Eur. J. Prev. Cardiol. 26, 1131–1146. doi: 10.1177/2047487319827453

Crossref Full Text | Google Scholar

Anderson, L., Oldridge, N., Thompson, D. R., Zwisler, A.-D., Rees, K., Martin, N., et al. (2016). Exercise-based cardiac rehabilitation for coronary heart disease: Cochrane systematic review and Meta-analysis. J. Am. Coll. Cardiol. 67, 1–12. doi: 10.1016/j.jacc.2015.10.044

Crossref Full Text | Google Scholar

Arnold, S. V., Smolderen, K. G., Buchanan, D. M., Li, Y., and Spertus, J. A. (2012). Perceived stress in myocardial infarction. J. Am. Coll. Cardiol. 60, 1756–1763. doi: 10.1016/j.jacc.2012.06.044

Crossref Full Text | Google Scholar

Baayen, R. H., Davidson, D. J., and Bates, D. M. (2008). Mixed-effects modeling with crossed random effects for subjects and items. J. Mem. Lang. 59, 390–412. doi: 10.1016/j.jml.2007.12.005

Crossref Full Text | Google Scholar

Boehm, J. K. (2021). Positive psychological well-being and cardiovascular disease: exploring mechanistic and developmental pathways. Soc. Personal. Psychol. Compass 15:12599. doi: 10.1111/spc3.12599

Crossref Full Text | Google Scholar

Boehm, J. K., and Kubzansky, L. D. (2012). The heart’s content: the association between positive psychological wellbeing and cardiovascular health. Psychol. Bull. 138, 655–691. doi: 10.1037/a0027448

Crossref Full Text | Google Scholar

Bolier, L., Haverman, M., Westerhof, G. J., Riper, H., Smit, F., and Bohlmeijer, E. (2013). Positive psychology interventions: a meta-analysis of randomized controlled studies. BMC Public Health 13:119. doi: 10.1186/1471-2458-13-119

Crossref Full Text | Google Scholar

Carney, R. M., and Freedland, K. E. (2017). Depression and coronary heart disease. Nat. Rev. Cardiol. 14, 145–155. doi: 10.1038/nrcardio.2016.181

Crossref Full Text | Google Scholar

Carver, C. S. (1997). You want to measure coping but your protocol’ too long: consider the brief cope. Int. J. Behav. Med. 4, 92–100. doi: 10.1207/s15327558ijbm0401_6

Crossref Full Text | Google Scholar

Carver, C. S. (2019). “Coping” in The Cambridge handbook of psychology, health and medicine. eds. C. D. Llewellyn, S. Ayers, C. McManus, S. Newman, K. J. Petrie, and T. A. Revenson (Cambridge: Cambridge University Press), 114–118.

Google Scholar

Chida, Y., and Hamer, M. (2008). Chronic psychosocial factors and acute physiological responses to laboratory-induced stress in healthy populations: a quantitative review of 30 years of investigations. Psychol. Bull. 134, 829–885. doi: 10.1037/a0013342

Crossref Full Text | Google Scholar

Chida, Y., and Steptoe, A. (2009). The Association of Anger and Hostility with Future Coronary Heart Disease. A Meta-analytic review of prospective evidence. J. Am. Coll. Cardiol. 53, 936–946. doi: 10.1016/j.jacc.2008.11.044

Crossref Full Text | Google Scholar

Dickens, C., Cherrington, A., Adeyemi, I., Roughley, K., Bower, P., Garrett, C., et al. (2013). Characteristics of psychological interventions that improve depression in people with coronary heart disease: a systematic review and meta-regression. Psychosom. Med. 75, 211–221. doi: 10.1097/PSY.0b013e31827ac009

Crossref Full Text | Google Scholar

DuBois, C. M., Lopez, O. V., Beale, E. E., Healy, B. C., Boehm, J. K., and Huffman, J. C. (2015). Relationships between positive psychological constructs and health outcomes in patients with cardiovascular disease: a systematic review. Int. J. Cardiol. 195, 265–280. doi: 10.1016/j.ijcard.2015.05.121

Crossref Full Text | Google Scholar

Fihn, S. D., Blankenship, J. C., Alexander, K. P., Bittl, J. A., Byrne, J. G., Fletcher, B. J., et al. (2014). 2014 ACC/AHA/AATS/PCNA/SCAI/STS focused update of the guideline for the diagnosis and Management of Patients with Stable Ischemic Heart Disease. J. Am. Coll. Cardiol. 64, 1929–1949. doi: 10.1016/j.jacc.2014.07.017

Crossref Full Text | Google Scholar

Gratz, K. L., and Roemer, L. (2004). Multidimensional assessment of emotion regulation and dysregulation: development, factor structure, and initial validation of the difficulties in emotion regulation scale. J. Psychopathol. Behav. Assess. 26, 41–54. doi: 10.1023/B:JOBA.0000007455.08539.94

Crossref Full Text | Google Scholar

Hamer, M., and Malan, L. (2010). Psychophysiological risk markers of cardiovascular disease. Neurosci. Biobehav. Rev. 35, 76–83. doi: 10.1016/j.neubiorev.2009.11.004

Crossref Full Text | Google Scholar

Hervás, G., and Jódar, R. (2008). Adaptación al castellano de la Escala de Dificultades en la Regulación Emocional. Clin. Salud. 19, 139–156.

Google Scholar

Huffman, J. C., Millstein, R. A., Mastromauro, C. A., Moore, S. V., Celano, C. M., Bedoya, C. A., et al. (2016). A positive psychology intervention for patients with an acute coronary syndrome: treatment development and proof-of-concept trial. J. Happiness Stud. 17, 1985–2006. doi: 10.1007/s10902-015-9681-1

Crossref Full Text | Google Scholar

Knuuti, J., Wijns, W., Saraste, A., Capodanno, D., Barbato, E., Funck-Brentano, C., et al. (2020). 2019 ESC guidelines for the diagnosis and management of chronic coronary syndromes. Eur. Heart J. 41, 407–477. doi: 10.1093/eurheartj/ehz425

Crossref Full Text | Google Scholar

Kubzansky, L. D., Huffman, J. C., Boehm, J. K., Hernandez, R., Kim, E. S., Koga, H. K., et al. (2018). Positive psychological wellbeing and cardiovascular disease. J. Am. Coll. Cardiol. 72, 1382–1396. doi: 10.1016/j.jacc.2018.07.042

Crossref Full Text | Google Scholar

Labarthe, D. R., Kubzansky, L. D., Boehm, J. K., Lloyd-Jones, D. M., Berry, J. D., and Seligman, M. E. P. (2016). Positive cardiovascular health. J. Am. Coll. Cardiol. 68, 860–867. doi: 10.1016/j.jacc.2016.03.608

Crossref Full Text | Google Scholar

Lakens, D. (2022). Sample size justification. Collabra Psychol 8:33267. doi: 10.1525/collabra.33267

Crossref Full Text | Google Scholar

Lazarus, R. S., and Folkman, S. (1984). Stress, appraisal, and coping. New York: Springer publishing company.

Google Scholar

Levine, G. N., Cohen, B. E., Commodore-Mensah, Y., Fleury, J., Huffman, J. C., Khalid, U., et al. (2021). Psychological health, wellbeing, and the mind-heart-body connection a scientific statement from the American Heart Association. Circulation 143, E763–E783. doi: 10.1161/CIR.0000000000000947

Crossref Full Text | Google Scholar

Linden, W. (2000). Psychological treatments in cardiac rehabilitation. J. Psychosom. Res. 48, 443–454. doi: 10.1016/S0022-3999(99)00094-X

Crossref Full Text | Google Scholar

Linden, W. (2013). How many Meta-analyses does it take to settle a question? Psychosom. Med. 75, 332–334. doi: 10.1097/PSY.0b013e318295e046

Crossref Full Text | Google Scholar

Linden, W., Phillips, M. J., and Leclerc, J. (2007). Psychological treatment of cardiac patients: a meta-analysis. Eur. Heart J. 28, 2972–2984. doi: 10.1093/eurheartj/ehm504

Crossref Full Text | Google Scholar

Lovallo, W. R., and Gerin, W. (2003). Psychophysiological reactivity: mechanisms and pathways to cardiovascular disease. Psychosom. Med. 65, 36–45. doi: 10.1097/01.PSY.0000033128.44101.C1

Crossref Full Text | Google Scholar

Magán, I., Casado, L., Jurado-Barba, R., Barnum, H., Redondo, M. M., Hernandez, A. V., et al. (2021). Efficacy of psychological interventions on psychological outcomes in coronary artery disease: systematic review and meta-analysis. Psychol. Med. 51, 1846–1860. doi: 10.1017/S0033291720000598

Crossref Full Text | Google Scholar

Magán, I., Jurado-Barba, R., Casado, L., Barnum, H., Jeon, A., Hernandez, A. V., et al. (2022). Efficacy of psychological interventions on clinical outcomes of coronary artery disease: systematic review and meta-analysis. J. Psychosom. Res. 153:110710. doi: 10.1016/j.jpsychores.2021.110710

Crossref Full Text | Google Scholar

McDonagh, T. A., Metra, M., Adamo, M., Gardner, R. S., Baumbach, A., Böhm, M., et al. (2021). ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure. Eur Heart J. 42, 3599–3726. doi: 10.1093/eurheartj/ehab368

Crossref Full Text | Google Scholar

Michalsen, A., Grossman, P., Lehmann, N., Knoblauch, N. T., Paul, A., Moebus, S., et al. (2005). Psychological and quality-of-life outcomes from a comprehensive stress reduction and lifestyle program in patients with coronary artery disease: results of a randomized trial. Psychother. Psychosom. 74, 344–352. doi: 10.1159/000087781

Crossref Full Text | Google Scholar

Moghei, M., Oh, P., Chessex, C., and Grace, S. L. (2019). Cardiac rehabilitation quality improvement. J. Cardiopulm. Rehabil. Prev. 39, 226–234. doi: 10.1097/HCR.0000000000000396

Crossref Full Text | Google Scholar

Mohammadi, N., Aghayousefi, A., Nikrahan, G. R., Adams, C. N., Alipour, A., Sadeghi, M., et al. (2018). A randomized trial of an optimism training intervention in patients with heart disease. Gen. Hosp. Psychiatry 51, 46–53. doi: 10.1016/j.genhosppsych.2017.12.004

Crossref Full Text | Google Scholar

Montgomery, P., Grant, S., Mayo-Wilson, E., Macdonald, G., Michie, S., Hopewell, S., et al. (2018). Reporting randomised trials of social and psychological interventions: the CONSORT-SPI 2018 extension. Trials 19:407. doi: 10.1186/s13063-018-2733-1

Crossref Full Text | Google Scholar

Morán, C., Landero, R., and González, M. T. (2010). COPE-28: un análisis psicométrico de la versión en español del Brief COPE. Univ. Psychol. 9, 543–552.

Google Scholar

Nicholson, A., Kuper, H., and Hemingway, H. (2006). Depression as an aetiologic and prognostic factor in coronary heart disease: a meta-analysis of 6362 events among 146 538 participants in 54 observational studies. Eur. Heart J. 27, 2763–2774. doi: 10.1093/eurheartj/ehl338

Crossref Full Text | Google Scholar

Nikrahan, G. R., Laferton, J. A. C., Asgari, K., Kalantari, M., Abedi, M. R., Etesampour, A., et al. (2016). Effects of positive psychology interventions on risk biomarkers in coronary patients: a randomized, wait-list controlled pilot trial. Psychosomatics 57, 359–368. doi: 10.1016/j.psym.2016.02.007

Crossref Full Text | Google Scholar

Oldridge, N., Höfer, S., Mcgee, H., and Saner, H. (2022). Evaluation of health-related quality of life in cardiovascular research: a call for action. Eur. J. Prev. Cardiol. 29, E79–E81. doi: 10.1093/eurjpc/zwab008

Crossref Full Text | Google Scholar

Ossola, P., Gerra, M. L., De Panfilis, C., Tonna, M., and Marchesi, C. (2018). Anxiety, depression, and cardiac outcomes after a first diagnosis of acute coronary syndrome. Health Psychol. 37, 1115–1122. doi: 10.1037/hea0000658

Crossref Full Text | Google Scholar

Otero, J. M., Luengo, A., Romero, F., Gómez, J. A., and Castro, C. (1998). Psicología de la Personalidad. Manual de Prácticas. Barcelona: Ariel Practicum.

Google Scholar

Poffley, A., Thomas, E., Grace, S. L., Neubeck, L., Gallagher, R., Niebauer, J., et al. (2017). A systematic review of cardiac rehabilitation registries. Eur. J. Prev. Cardiol. 24, 1596–1609. doi: 10.1177/2047487317724576

Crossref Full Text | Google Scholar

Richards, S. H., Anderson, L., Jenkinson, C. E., Whalley, B., Rees, K., Davies, P., et al. (2018). Psychological interventions for coronary heart disease: Cochrane systematic review and meta-analysis. Eur. J. Prev. Cardiol. 25, 247–259. doi: 10.1177/2047487317739978

Crossref Full Text | Google Scholar

Roest, A. M., Martens, E. J., de Jonge, P., and Denollet, J. (2010). Anxiety and risk of incident coronary heart disease. J. Am. Coll. Cardiol. 56, 38–46. doi: 10.1016/j.jacc.2010.03.034

Crossref Full Text | Google Scholar

Rozanski, A. (2014). Behavioral cardiology. J. Am. Coll. Cardiol. 64, 100–110. doi: 10.1016/j.jacc.2014.03.047

Crossref Full Text | Google Scholar

Rozanski, A., Bavishi, C., Kubzansky, L. D., and Cohen, R. (2019). Association of Optimism with cardiovascular events and all-cause mortality: a systematic review and Meta-analysis. JAMA Netw. Open 2:12200. doi: 10.1001/jamanetworkopen.2019.12200

Crossref Full Text | Google Scholar

Russ, T. C., Stamatakis, E., Hamer, M., Starr, J. M., Kivimaki, M., and Batty, G. D. (2012). Association between psychological distress and mortality: individual participant pooled analysis of 10 prospective cohort studies. Brit. Med. J. 345:e4933. doi: 10.1136/bmj.e4933

Crossref Full Text | Google Scholar

Rutledge, T., Redwine, L. S., Linke, S. E., and Mills, P. J. (2013). A Meta-analysis of mental health treatments and cardiac rehabilitation for improving clinical outcomes and depression among patients with coronary heart disease. Psychosom. Med. 75, 335–349. doi: 10.1097/PSY.0b013e318291d798

Crossref Full Text | Google Scholar

Sanjuan, P., Montalbetti, T., Pérez-García, A. M., Bermúdez, J., Arranz, H., and Castro, A. (2016). A randomised trial of a positive intervention to promote wellbeing in cardiac patients. Appl. Psychol. Health Well Being 8, 64–84. doi: 10.1111/aphw.12062

Crossref Full Text | Google Scholar

Scheier, M. F., Carver, C. S., and Bridges, M. W. (1994). Distinguishing optimism from neuroticism (and trait anxiety, self-mastery, and self-esteem): a reevaluation of the life orientation test. J. Pers. Soc. Psychol. 67, 1063–1078. doi: 10.1037/0022-3514.67.6.1063

Crossref Full Text | Google Scholar

Schulz, K. F., Altman, D. G., and Moher, D. (2010). CONSORT 2010 statement: updated guidelines for reporting parallel group randomised trials. BMC Med. 8:18. doi: 10.1186/1741-7015-8-18

Crossref Full Text | Google Scholar

Schwartz, A. R., Gerin, W., Davidson, K. W., Pickering, T. G., Brosschot, J. F., Thayer, J. F., et al. (2003). Toward a causal model of cardiovascular responses to stress and the development of cardiovascular disease. Psychosom. Med. 65, 22–35. doi: 10.1097/01.PSY.0000046075.79922.61

Crossref Full Text | Google Scholar

Seligman, M. (2011). Flourish. New York: Free Press.

Google Scholar

Seligman, M., Steen, T., Park, N., and Peterson, C. (2005). Positive psychology progress: empirical validation of interventions. Am. Psychol. 60, 410–421. doi: 10.1037/0003-066X.60.5.410

Crossref Full Text | Google Scholar

Spielberger, C. D. (1999). Sate-trait anger expression Inventory-2: STAXI-2. Lutz, Florida: PAR.

Google Scholar

Spielberger, C. D., Miguel Tobal, J. J., Casado, M. I., and Cano Vindel, A. (2001). Inventario de Expresión de Ira Estado Rasgo 2–STAXI 2. Madrid: TEA.

Google Scholar

Stenvall, H., Tierala, I., Räsänen, P., Laine, M., Sintonen, H., and Roine, R. P. (2017). Long-term clinical outcomes, health-related quality of life, and costs in different treatment modalities of stable coronary artery disease. Eur. Heart J. Qual. Care Clin. Outcomes 3, 74–82. doi: 10.1093/ehjqcco/qcw024

Crossref Full Text | Google Scholar

Steptoe, A. (2019). Happiness and health. Annu. Rev. Public Health 40, 339–359. doi: 10.1146/annurev-publhealth-040218-044150

Crossref Full Text | Google Scholar

Steptoe, A., and Kivimäki, M. (2013). Stress and cardiovascular disease: an update on current knowledge. Annu. Rev. Public Health 34, 337–354. doi: 10.1146/annurev-publhealth-031912-114452

Crossref Full Text | Google Scholar

Steptoe, A., Wardle, J., and Marmot, M. (2005). Positive affect and health-related neuroendocrine, cardiovascular, and inflammatory processes. Proc. Natl. Acad. Sci. USA. 102: 6508–6512. doi: 10.1073/pnas.0409174102

Crossref Full Text | Google Scholar

Supervia, M., Turk-Adawi, K., Lopez-Jimenez, F., Pesah, E., Ding, R., Britto, R. R., et al. (2019). Nature of cardiac rehabilitation around the globe. EClinicalMedicine 13, 46–56. doi: 10.1016/j.eclinm.2019.06.006

Crossref Full Text | Google Scholar

Tejero, A., Guimerá, E., Farré, J., and Peri, J. (1986). Uso clínico del HAD (Hospital Anxiety and Depression Scale) en población psiquiátrica: Un estudio de su sensibilidad, fiabilidad y validez. Rev. Depart. Psiquiatría Fac. Med. Barcelona 13, 233–238.

Google Scholar

Tönis, K. J. M., Kraiss, J. T., Linssen, G. C. M., and Bohlmeijer, E. T. (2023). The effects of positive psychology interventions on wellbeing and distress in patients with cardiovascular diseases: a systematic review and Meta-analysis. J. Psychosom. Res. 170:111328. doi: 10.1016/j.jpsychores.2023.111328

Crossref Full Text | Google Scholar

Tully, P. J., Winefield, H. R., Baker, R. A., Denollet, J., Pedersen, S. S., Wittert, G. A., et al. (2015). Depression, anxiety and major adverse cardiovascular and cerebrovascular events in patients following coronary artery bypass graft surgery: a five year longitudinal cohort study. Biopsychosoc. Med. 9:14. doi: 10.1186/s13030-015-0041-5

Crossref Full Text | Google Scholar

Vilagut, G., María Valderas, J., Ferrer, M., Garin, O., López-García, E., and Alonso, J. (2008). Interpretación de los cuestionarios de salud SF-36 y SF-12 en España: componentes físico y mental. Med. Clin. 130, 726–735. doi: 10.1157/13121076

Crossref Full Text | Google Scholar

Vos, J. (2021). Cardiovascular disease and meaning in life: a systematic literature review and conceptual model. Palliat. Support. Care 19, 367–376. doi: 10.1017/S1478951520001261

Crossref Full Text | Google Scholar

Ware, J. E., Kosinski, M., and Keller, S. D. (1996). A 12-item short-form health survey. Med. Care 34, 220–233. doi: 10.1097/00005650-199603000-00003

Crossref Full Text | Google Scholar

Wirtz, P. H., and von Känel, R. (2017). Psychological stress, inflammation, and coronary heart disease. Curr. Cardiol. Rep. 19:111. doi: 10.1007/s11886-017-0919-x

Crossref Full Text | Google Scholar

Zigmond, A. S., and Snaith, R. P. (1983). The hospital anxiety and depression scale. Acta Psychiatr. Scand. 67:716. doi: 10.1111/j.1600-0447.1983.tb09716.x

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Keywords: cardiac rehabilitation, psychological intervention, positive psychology, cognitive-behavioral therapy, randomized controlled trial

Citation: Magán I, Jurado-Barba R, Moreno G, Ayán-Sanz MP, Izquierdo-Garcia J, Corradi G, Tello R and Bueno H (2024) PsicoCare: a pilot randomized controlled trial testing a psychological intervention combining cognitive-behavioral treatment and positive psychology therapy in acute coronary syndrome patients. Front. Psychol. 15:1420137. doi: 10.3389/fpsyg.2024.1420137

Received: 19 April 2024; Accepted: 21 October 2024;
Published: 19 November 2024.

Edited by:

Adelinda Araujo Candeias, University of Evora, Portugal

Reviewed by:

Claudia Chiavarino, Istituto Universitario Salesiano Torino Rebaudengo (IUSTO), Italy
Edgar Galindo, University of Evora, Portugal

Copyright © 2024 Magán, Jurado-Barba, Moreno, Ayán-Sanz, Izquierdo-Garcia, Corradi, Tello and Bueno. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Inés Magán, aW1hZ2FuQHVjamMuZWR1

These authors have contributed equally to this work and share senior authorship

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