Abstract
Background:
Elevated stress is associated with adverse cardiovascular disease outcomes and accounts in part for the poorer recovery experienced by women compared with men after myocardial infarction (MI). Psychosocial interventions improve outcomes overall but are less effective for women than for men with MI, suggesting the need for different approaches. Mindfulness-based cognitive therapy (MBCT) is an evidence-based intervention that targets key psychosocial vulnerabilities in women including rumination (i.e., repetitive negative thinking) and low social support. This article describes the rationale and design of a multicenter randomized controlled trial to test the effects of telephone-delivered MBCT (MBCT-T) in women with MI.
Methods:
We plan to randomize 144 women reporting elevated perceived stress at least two months after MI to MBCT-T or enhanced usual care (EUC), which each involve eight weekly telephone sessions. Perceived stress and a set of patient-centered health outcomes and potential mediators will be assessed before and after the 8-week telephone programs and at 6-month follow-up. We will test the hypothesis that MBCT-T will be associated with greater 6-month improvements in perceived stress (primary outcome), disease-specific health status, quality of life, depression and anxiety symptoms, and actigraphy-based sleep quality (secondary outcomes) compared with EUC. Changes in mindfulness, rumination and perceived social support will be evaluated as potential mediators in exploratory analyses.
Conclusions
If found to be effective, this innovative, scalable intervention may be a promising secondary prevention strategy for women with MI experiencing elevated perceived stress.
Myocardial infarction (MI) afflicts 325,000 women per year in the United States and is a major cause of morbidity and mortality.1 Women experience poorer recovery and have higher mortality rates after MI compared with men, which are not fully explained by differences in biological and behavioral factors or differences in care.2 Higher perceived stress may help to explain this disparity and is a promising target for interventions to improve health outcomes in women with MI. However, few psychosocial interventions tested in cardiac patients have directly addressed the unique experiences and needs of women. This study describes the rationale for an innovative stress management intervention for women with MI and the design of a randomized controlled trial (RCT) to evaluate its effects on perceived stress and mental and physical health outcomes over six months.
Association between stress and coronary heart disease in women
Perceived stress refers to the appraisal of one’s life as stressful or overwhelming and reflects the cumulative burden of stress from various sources such as work, relationships, caregiving, and finances.3,4 Elevated levels of perceived stress have been associated with coronary heart disease (CHD) incidence5 and increased mortality and poorer health status in acute MI patients,6 independent of traditional risk factors. Many of the stressful life events and circumstances commonly experienced by women, including caregiving and marital discord, also influence their heart disease risk and outcomes. The Nurses’ Health Study found that women caring for a sick spouse had an almost doubled risk of incident CHD over 4 years of follow-up compared with noncaregivers.7 In the Stockholm Female Coronary Risk Study, marital stress increased the risk of recurrent cardiac events three-fold over five years among women with CHD.8 Although work stress alone was not a significant predictor, women reporting both marital and work stress had a 5.7-times greater risk of recurrent events compared with those reporting no stress.9 In a study of young and middle-aged acute MI patients, women were more likely than men to report stressful life events during the prior year and reported higher perceived stress than men throughout the first year after MI, which partially explained their worse recovery.10–12 While the observed differences in recovery reflect multiple factors, the mediation effect of stress was independent of many potential confounders (e.g., sociodemographic characteristics, medical history, presentation characteristics, health status).
Both behavioral and physiological pathways contribute to the relationship between stress and CHD and may help explain poorer outcomes in women compared with men. Chronic stress is associated with poor diet, physical inactivity, and sleep disturbance, which predict risk of MI and poor prognosis after MI.13,14 In a nationally representative sample of women surveyed about cardiovascular disease (CVD) awareness, 51% of respondents cited caregiving responsibilities as a significant barrier to CVD prevention due to the associated stress, sleep disruption, and lack of personal time.15 Acute and chronically elevated levels of stress are also associated with pathophysiological processes that increase risk for cardiac events, including impaired neuroendocrine function, platelet dysfunction, pro-inflammatory responses, impaired vagal control, and increased sympathetic nervous system activity.16 Sex differences in some of these stress-related mechanisms may help to explain poorer CHD outcomes in women. In particular, mental stress-induced myocardial ischemia and dysfunctional platelet reactivity to stress are more common in women with CHD than men.17–20
Women also have greater psychosocial vulnerabilities than men. One difference is their greater tendency to ruminate, or engage in cyclical negative thinking about past, present and anticipated stressful experiences.21 Rumination prolongs adverse stress responses22 and has been associated with depression,21 disturbed sleep,23 delayed blood pressure recovery after stress exposure,24 and CHD incidence.25 Women also report receiving less social support compared with men after MI.26,27 Social relationships have important stress buffering effects, and the lack of supportive relationships leaves one without these resources and can itself be a major source of stress.28 In two large observational studies of acute MI patients, low social support was associated with higher angina frequency, lower functional status, poorer QOL, and greater depressive symptoms up to one year after MI.29,30 A qualitative meta-analysis of 43 studies of women’s experiences of CHD noted that many women with CHD reported disappointment in lack of support from others, but also guilt about needing help and being a burden.31 Qualitative studies also indicate that women with CHD desire social connection, particularly with other women with CHD.31,32
Rationale for mindfulness training in women with MI
The need for psychosocial support among patients who have suffered a cardiac event is widely recognized and various interventions have been tested, including health education, stress management (eg, cognitive behavioral therapy, relaxation training, biofeedback), and other psychological therapies.33–35 A meta-analysis of 43 RCTs in cardiac patients found that overall, psychosocial treatment reduced mortality by 27% over follow-up periods of up to 2 years and reduced event recurrence by 43% at follow-up beyond 2 years.33 However, when stratified by gender, no benefit was observed for women for either time period. Importantly, successful reduction of distress was necessary for mortality benefits, and though not tested, it is possible that men experienced greater reductions in distress than women with the interventions studied. Consistent with this hypothesis, a secondary analysis of the Montreal Heart Attack Readjustment Trial (M-HART) found gender differences in the response to a nursing intervention such that collaborative approaches were more effective for reducing distress among women, while directive approaches were more effective among men.36 These findings highlight the need for psychosocial interventions that address the experiences and needs of women with MI.
Mindfulness-based cognitive therapy (MBCT) is a program that combines mindfulness training and cognitive therapy to improve emotion regulation and reduce stress and negative emotions.37 A core feature of the intervention is the cultivating of mindfulness, defined as a nonjudgmental awareness of present-moment experiences (e.g., thoughts, emotions, bodily sensations). MBCT also incorporates principles of Beck’s cognitive theory, which proposes that one’s thoughts and perceptions about situations influence one’s reactions.38 Exaggerated or irrational thought patterns, or cognitive distortions (e.g., jumping to conclusions, all-or-nothing thinking), contribute to adverse emotional, behavioral and physiological reactions. Through simple meditation practices and cognitive techniques, MBCT promotes awareness and acceptance of one’s thoughts and emotions, including negative ones, as non-threatening experiences that are passing events rather than reflections of permanent reality (i.e., cognitive defusion). Learning to see thoughts as just thoughts, not facts, lessens reactivity to them. Paying attention to one’s automatic reactions to stressful events also helps one learn to deliberately respond to future stressors in more adaptive ways, including an improved ability to recognize and disengage from escalating patterns of negative thinking (i.e., rumination). MBCT is typically delivered in a group format, which provides an opportunity for social learning and support among participants. Decades of evidence have shown that mindfulness-based interventions reduce stress and emotional and physiological responses to stress,39–43 and interest in these programs for patients with CVD is growing rapidly.43,44 Though few studies have tested gender differences in response to mindfulness training, recent findings suggest that women have a greater interest in these approaches than men and may experience greater benefit from them.45–48 Because MBCT targets key psychosocial vulnerabilities in women (i.e., rumination, low social support), we assert that it is a promising approach to reducing perceived stress in women with MI.
In its traditional form, MBCT is an intensive program delivered in eight weekly 2 to 2.5 hour in-person group sessions. Time and transportation can be significant barriers to participation, particularly among individuals suffering from acute or chronic health problems and those with busy or stressful lives. For example, a stress management program developed for women with CHD that was found effective was limited by the intensive, in-person format; almost 40% of eligible women declined to participate, most often due to the time commitment and inconvenience.35 Therefore, we considered a number of alternative delivery methods for this population. Web- and app-based interventions are more convenient than in-person programs but often suffer from low engagement and poor adherence rates,49,50 and may not address the need for meaningful connection with others expressed by women with MI.31,32 A number of studies have shown that telephone-based psychosocial interventions (e.g., cognitive behavioral therapy) have comparable or higher adherence rates and similar efficacy compared with in-person protocols.51,52 Further, the feasibility and efficacy of telephone-based mindfulness interventions has been demonstrated in other chronic disease populations.53–57 Based on these considerations, we adapted MBCT for delivery to small groups by telephone (MBCT-T), which preserves real-time interaction and allows easy dissemination to patients whose health limits transportation or whose life circumstances (e.g., family and job roles) prevent participation. This RCT will evaluate whether MBCT-T can reduce perceived stress and improve physical and mental health outcomes over six months in women with recent MI.
Methods
Overview
This study is part of the Women’s Heart Attack Research Program (HARP) being conducted by the Sarah Ross Soter Center for Women’s Cardiovascular Research at the NYU School of Medicine. The overall aims of HARP are to investigate biological and psychosocial factors related to MI in women through three related research projects that share a common infrastructure and enrollment process. The HARP Stress Management Trial will test the effects of MBCT-T in 144 women with MI reporting elevated perceived stress after the acute recovery period. Women will be recruited from the HARP Clinical study, a multicenter cohort study of women with MI, and through self-referral in response to study advertisements. Following completion of baseline assessments (self-report questionnaires and one week of wrist actigraphy), women will be randomized to MBCT-T or enhanced usual care (EUC), which controls for the frequency of telephone contact. All assessments will be repeated at post-treatment (~8 weeks) and 6-month follow-up visits. The primary hypothesis is that 6-month perceived stress levels will be lower in women randomized to MBCT-T compared with those randomized to EUC. Figure shows the design of the HARP Stress Management Trial, which will be conducted at NYU Langone Health/Bellevue Hospital, Cedars-Sinai Medical Center, Ohio State University Medical Center, University of Pittsburgh Medical Center, and Johns Hopkins Medical Center. The study protocol has been approved by the Institutional Review Boards of all participating sites. Screening began at NYU/Belle-vue in December 2016 and at other sites in June, 2017. Implementation of study interventions began in November 2017.
Figure.
Study design. White box shows MI hospitalization at which time patients are screened and approached for the HARP Clinical study. Gray boxes show the HARP Stress Management Trial.
Participants
Eligibility criteria are listed in Table 1. Women aged ≥21 years with a diagnosis of MI58 and a score of ≥6 on the 4-item Perceived Stress Scale (PSS-4), which is associated with poorer post-MI health status,6 are eligible. Screening at least two months post-MI reduces the likelihood of enrolling women whose stress levels would have improved without intervention.11,33 Fluency in English is required, but we expect a diverse sample of women (≥35% racial and ethnic minorities). To ensure that telephone access and/or cost are not barriers to participation, cell phones and paid call plans will be provided for the duration of the study to women who do not have them. To enhance generalizability, we are not excluding women who are participating in cardiac rehabilitation programs or psychiatric treatment (medication and/or therapy). We are collecting data regarding concurrent treatments and expect similar rates across study arms. However, we exclude patients who require more intensive treatment (severe depression and/or suicidality), who are not appropriate for a group intervention (cognitive impairment, history of psychosis), or whose participation in another clinical trial may confound results.
Table 1.
Eligibility criteria
Inclusion criteria |
|
Exclusion criteria |
|
Study visits
Initial contact, screening and consent
Women with a diagnosis of MI based on the universal definition are identified at or around the time of referral to cardiac catheterization for evaluation and management and are approached by a research coordinator for consent for the HARP Clinical study (NCT02905357, clinicaltrials.gov). These women, as well as those who decline or are ineligible for the HARP Clinical study and those who self-refer, are screened and consented for the HARP Stress Management Trial at least two months after MI.
Baseline assessments
Once 12–14 eligible women are enrolled, baseline assessments are collected for the cohort over a 2-week period. A research coordinator administers self-report questionnaires, reviews the electronic health record (EHR), and provides an actigraph to each participant with instructions for the one-week sleep monitoring protocol. Participants are provided paid mailers to return the devices and sleep diaries upon completion of monitoring.
Randomization and blinding
After all baseline assessments for a cohort have been completed, participants are individually randomized to either MBCT-T or EUC. Randomization is stratified by CAD status (MI with and without obstructive coronary artery disease) given that an exploratory aim of the center is to compare baseline stress levels and effects of stress reduction in these two groups. Participants, intervention facilitators, and the study PI (who provides supervision) are aware of participants’ treatment assignments. However, other study investigators, biostatisticians, and research coordinators collecting outcome data are blinded and instruct participants not to reveal group assignments during their interactions.
Follow-up visits
Following completion of the 8-week MBCT-T or EUC program, the research coordinator schedules follow-up visits. Participants repeat the self-report measures and actigraphy protocol, and the research coordinator reviews the EHR to collect relevant medical and treatment data. All procedures are repeated at the 6-month visit.
Measures
We will test effects of MBCT-T on perceived stress (primary outcome) and a set of clinically meaningful secondary outcomes, including disease-specific health status and QOL, which predict subsequent health outcomes and healthcare utilization59,60; depression and anxiety, which are common in MI patients and are associated with adverse outcomes61–63; and poor sleep efficiency, an aspect of sleep that is influenced by stress and is associated with adverse health outcomes and mortality.64,65 Changes in mindfulness, rumination, and perceived social support will be evaluated as potential mediators of MBCT-T-related changes in perceived stress and secondary outcomes. Validated measures of each outcome domain have been selected and are described below. The schedule of assessments is shown in Table 2.
Table 2.
Schedule of assessments
MI hospitalization | Screening (2-months post-MI) | Baseline | Post-treatment | 6-month Follow-up | |
---|---|---|---|---|---|
Demographics | X* | X | |||
Clinical lab results, vitals | X* | ||||
Medical history, medications | X* | X | X | X | X |
Perceived stress (PSS)† | X* | X | X | X | X |
Disease-specific health status (SAQ-7) | X | X | X | ||
Quality of life (SF-12, PROMIS-10) | X | X | X | ||
Depressive symptoms (PHQ-9) | X | X | X | X | |
Anxiety symptoms (HADS-A) | X | X | X | ||
Sleep (actigraphy) | X | X | X | ||
Mindfulness (FFMQ-SF) | X | X | X | ||
Rumination (RRQ) | X | X | X | ||
Perceived social support (ESSI) | X | X | X |
Data collected as part of the HARP Clinical study.
The PSS-4 will be used at the MI hospitalization and 2-month screening visits; the PSS-10 will be used at the baseline and follow-up visits.
Sociodemographics and medical history
Demographic and socioeconomic data are collected via self-report and EHR review at the time of consent or baseline assessments. Prior history of CVD and procedures, CVD risk factors, and comorbidities are collected via EHR review at each time point. Medications (including psychiatric medications), participation in other programs (e.g., cardiac rehabilitation, psychotherapy), and hospitalizations and recurrent events are collected at each time point via self-report and EHR review. CAD status is classified based on results of clinically ordered cardiac catheterization (i.e., no stenosis ≥50% of any major epicardial vessel vs. stenosis ≥50% of any major epicardial vessel).
Self-report questionnaires
Perceived stress (primary outcome) is assessed with the 10-item Perceived Stress Scale (PSS-10), a widely used measure that assesses the degree to which situations in one’s life are appraised as overwhelming, uncontrollable, and unpredictable over the last month.4 Disease-specific health status is assessed with the Seattle Angina Questionnaire (SAQ).66 We selected the recently developed 7-item short form (SAQ-7), which assesses functioning in three domains: angina-related physical limitation, angina frequency and angina-related QOL.67 This short form has been validated in MI patients and has good psycho-metric properties, demonstrates excellent responsiveness to change and predicts mortality and readmission in CAD.67 Physical and mental health-related QOL are assessed with the Short-Form Health Survey (SF-12), a widely used measure in health research,68 and with the Patient-Reported Outcomes Measurement Information System (PROMIS)-Global Health, a 10-item measure recently developed by NIH as an indicator for Healthy People 2020.69 Depressive symptoms are assessed with the PHQ-9, a validated measure that is based on DSM-IV diagnostic criteria for major depression and recommended for screening for depression in MI patients.70 Anxiety is assessed with the anxiety subscale of the Hospital Anxiety and Depression Scale (HADS-A), developed for and validated in patients with physical health problems.71
Self-report measures of three hypothesized mediators are also administered. The 15-item Five Facet of Mindfulness Scale Short Form (FFMQ-SF) assesses key dimensions of mindfulness: observing, describing, acting with awareness, non-judging and non-reactivity.72 The FFMQ-SF shows adequate construct validity, test–retest reliability, and sensitivity to change following mindfulness training.72 The 12-item rumination subscale of the Rumination-Reflection Questionnaire (RRQ) assesses the degree to which participants generally engage in ruminative thinking.73 The 7-item ENRICHD Social Support Instrument (ESSI) assesses the perceived availability of emotional and instrumental support.74 The ESSI was developed for MI patients and has been shown to be reliable, valid, and predictive of outcomes in cardiac patients.29,75
Wrist actigraphy
Participants wear a validated actigraph (wGT3X-BT, ActiGraph Corp) on the non-dominant wrist for one week at each study time point to assess sleep.76,77 The device is equipped with a highly sensitive accelerometer and quantifies the continuity and duration of sleep using validated algorithms. Data are stored in 1-minute epochs and processed with the Actilife 6 software. Self-reported sleep, wake, and nap times and sleep medications are collected using a daily diary to facilitate data processing. Sleep efficiency, defined as the percentage of time in bed spent sleeping, will be calculated for each night and averaged across the week for each study visit. Poor sleep efficiency is characterized by difficulty initiating and/or maintaining sleep and is associated with all-cause mortality.65
Description of study arms
Enhanced usual care (EUC)
Given that usual care may vary significantly in a multicenter trial, we felt it important to provide consistent standard of care educational materials to all participants. Therefore, participants in both study arms receive a printed educational brochure developed by the American Heart Association and targeted to women: “Women, Heart Disease and Stroke.” To control for non-specific effects of attention, women in the EUC arm are contacted at the same frequency as those in the MBCT-T arm (8 weekly phone calls). The individual EUC calls are approximately 15 minutes each and follow a standardized protocol including a brief weekly check-in and review of brochure content as follows: Week 1: Facts about CVD in women; heart attack and stroke warning signs; Weeks 2–3: Review of CVD risk factors; Weeks 4–7: Strategies for management of key modifiable risk factors (hypertension, high cholesterol, smoking, physical inactivity, obesity and diabetes); Week 8: Other risk factors and considerations (e.g., alcohol, stress). Content related to stress is limited to communicating the importance of finding healthy ways to manage stress without suggesting specific strategies. We expect that the relevant EUC content will enhance treatment acceptability and credibility among women with recent MI without significantly influencing the study outcomes.
Stress management
MBCT-T is an 8-week manualized program that combines mindfulness training with cognitive therapy. The intervention is delivered to groups of about six patients by telephone using a conference line. Participants receive a workbook containing session content and home practice logs, and audio guides to support home practice. They complete individual orientation sessions with the MBCT-T facilitator by phone prior to the start of the group in which the rationale for the program is explained, questions are addressed, and motivation and anticipated barriers are discussed. Each subsequent weekly group session is approximately one hour long and is comprised of a brief check-in, teaching on the week’s topic, guided practice, inquiry and home practice assignment. Mindfulness training includes formal (e.g., body scan, mindfulness of breath) and informal (e.g., mindfulness of daily activities) practices, and cognitive approaches include thought monitoring, cognitive defusion, and skillful action. The final two sessions focus on developing individualized plans for sustainable daily mindfulness practice. Session topics and content areas are described in Table 3. Approximately 15 minutes per day of home practice is assigned between sessions. Participants who miss sessions are offered brief make-up sessions. Two measures of intervention adherence are collected for use in sensitivity analyses: (1) number of telephone sessions attended; (2) amount of home practice recorded on logs.
Table 3.
MBCT-T session content
Session | Topics |
---|---|
Orientation |
|
1: Awareness & Automatic Pilot |
|
2: Living in Our Heads |
|
3: Gathering the Scattered Mind |
|
4: Thoughts are Not Facts |
|
5: Allowing & Letting Be (Part I) |
|
6: Allowing & Letting Be (Part II) |
|
7: Taking Care of Myself |
|
8: Maintenance |
|
The MBCT-T program reflects a number of adaptations to the standard MBCT protocol.37 It is delivered by phone rather than in-person, and involves shorter weekly sessions (1 hour vs 2–2.5 hours) and less home practice (~15 vs 45 min/d). The group format and core concepts of MBCT are retained, but several practices were dropped (seeing and hearing meditations, choiceless awareness in meditation, longer sitting meditations) to achieve the reduced time commitment. These adaptations were informed by prior studies and reviews of mindfulness-based interventions involving fewer and/or shorter sessions and reduced home practice,53–57,78–80 and our preliminary work with telephone-based mindfulness training in this and other patient populations.
Facilitator training and treatment fidelity
The MBCT-T program is delivered by certified MBCT instructors who have completed formal training and experience requirements. The EUC program is delivered by nursing students. All MBCT-T and EUC facilitators complete training in the study protocol with the Principal Investigator (TMS). All sessions are digitally audiotaped and approximately 30% will be reviewed to provide feedback and ongoing supervision to intervention facilitators. Facilitators’ degree of adherence to the MBCT-T protocol is rated using an adapted version of the validated MBCT Adherence Scale.81 A similar checklist has been developed to rate treatment fidelity of the EUC phone sessions.
Patient safety
Participants are referred back to their physicians for any medical questions that arise during telephone sessions. If a participant reports severe distress or suicidal ideation during a study visit or telephone session, the research team follows a detailed safety plan, which includes formal assessment of symptoms and depending on the severity, providing referrals, informing the treating physician, arranging emergency care, and reporting the event in accordance with the local IRB policy.
Statistical analysis plan
We hypothesize that participants randomized to MBCT-T will show greater 6-month improvements in perceived stress and secondary outcomes compared with those randomized to EUC. Intention to treat (ITT) will be the primary approach for all analyses. The basic analysis will compare the MBCT-T and EUC arms on 6-month changes in the study outcomes using mixed effects regression models. This analysis is suited to model repeated measurements nested on the same individuals and individuals clustered within study sites. In separate models, each of the primary and secondary outcome measures will be regressed onto assignment group, time, and the group × time interaction. Study site will be adjusted in the mixed effects model to account for potential dependence within the study site. A significant group × time interaction indicates that the change in outcome differs between the two groups and will be followed up by testing the simple slopes (change) for each group. In exploratory analyses, we will evaluate whether psychosocial factors targeted by MBCT-T (i.e., mindfulness, rumination, perceived social support) explain any observed improvements in perceived stress and secondary outcomes using mediation analysis techniques.
Sample size calculation
The primary outcome is the difference in 6-month change in perceived stress between the MBCT-T and EUC study arms. Sixty-five women per arm would provide 90% power to detect a difference of 4.0 in PSS-10 scores between arms at α=.05. This is consistent with published data82 and represents a ≈30% reduction in perceived stress given expected baseline scores.11 We project 10% missing data at 6-months, given low mortality rates in this time frame and completion of follow-up assessments by phone.52 Based on these assumptions, we plan to enroll 144 women (72 per arm). Even if the group difference in PSS-10 change is as small as 3.5 or attrition approaches 15%, this sample size would still provide 80% power to detect a statistically significant difference.
Sources of funding
This study is part of the American Heart Association’s Go Red For Women Strategically Focused Research Network83 and is funded by grants 16SFRN28850003 (Spruill), 16SFRN28730004 (Reynolds), 16SFRN28730002 (Berger) and 16SFRN27810006 (Hochman). The authors are solely responsible for the design and conduct of this study, all study analyses, the drafting and editing of the manuscript, and its final contents.
Discussion
Despite accumulating evidence of the adverse impact of elevated perceived stress on health outcomes after MI, the current standard of care does not include routine assessment or treatment of stress. Evidence-based stress management interventions are needed, particularly for women, who benefit less than men from psychosocial interventions that are not gender-tailored.33,84 This trial will test the hypothesis that MBCT-T is an effective approach to reducing perceived stress in women with MI. Many stressful events and circumstances cannot be avoided, but the emotion regulation skills imparted in MBCT-T may mitigate the impact of current and future stressors on physiological processes that influence CVD risk.85 The American Heart Association recently published a scientific statement based on a systematic review of studies of meditation suggesting a possible benefit on cardiovascular risk, and concluded that further research on this topic is warranted.43 Although the HARP Stress Management Trial is not powered to test effects of MBCT-T on hard outcomes, improvements in perceived stress and the secondary outcomes we are assessing (i.e., general and disease-specific health, anxiety and depressive symptoms, sleep) would support future studies to evaluate the efficacy of this scalable intervention in preventing adverse psychological and cardiovascular outcomes in women with MI. The six month follow-up period will allow us to examine both short-term and sustained effects of MBCT-T, which has been identified as a priority area for future research in this area.43,44 Repeated assessment of potential mediators will also inform future studies aimed at elucidating the effects and mechanisms of mindfulness training on CVD risk.
Acknowledgements
We thank Mallory Rutigliano, BS, Ellen Hada, BA and Jessica Rodriguez, PhD for their contributions to the implementation of this study at NYU, and Rina Mauricio, MD and Megan Monroe, BSN, for their contributions to the development of the EUC protocol. We are also grateful to the research staff and PIs of the participating centers, including C. Noel Bairey Merz, MD and Janet Wei, MD (Cedars-Sinai Medical Center), Laxmi Mehta, MD (Ohio State University Medical Center), Catalin Toma, MD (University of Pittsburgh Medical Center), and Jeffrey Trost, MD (Johns Hopkins Medical Center).
Disclosures
All authors have received research funding from the American Heart Association. St. Jude Medical has donated optical coherence tomography catheters for use in the HARP Clinical study. All authors have approved the article.
Footnotes
Conflicts of Interest: None.
Clinical Trial Registration: URL: https://clinicaltrials.gov. Unique identifier: NCT02914483.
References
- 1.Benjamin EJ, Blaha MJ, Chiuve SE, et al. Heart Disease and Stroke Statistics-2017 update: a report from the American Heart Association. Circulation 2017;135(10):e146–603. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Mehta LS, Beckie TM, DeVon HA, et al. Acute myocardial infarction in women: a scientific statement from the American Heart Association. Circulation 2016;133(9):916–47. [DOI] [PubMed] [Google Scholar]
- 3.Lazarus RS, Folkman S. Stress, appraisal and coping. New York: Springer; 1984. [Google Scholar]
- 4.Cohen S, Williamson G. Perceived stress in a probability sample of the United States. Newbury Park, CA: Sage; 1988. [Google Scholar]
- 5.Richardson S, Shaffer JA, Falzon L, et al. Meta-analysis of perceived stress and its association with incident coronary heart disease. Am J Cardiol 2012;110(12):1711–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Arnold SV, Smolderen KG, Buchanan DM, et al. Perceived stress in myocardial infarction: long-term mortality and health status outcomes. J Am Coll Cardiol 2012;60(18): 1756–63. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Lee S, Colditz GA, Berkman LF, et al. Caregiving and risk of coronary heart disease in U.S. women: a prospective study. Am J Prev Med 2003;24(2):113–9. [DOI] [PubMed] [Google Scholar]
- 8.Orth-Gomer K, Wamala SP, Horsten M, et al. Marital stress worsens prognosis in women with coronary heart disease: The Stockholm Female Coronary Risk Study. JAMA 2000;284(23):3008–14. [DOI] [PubMed] [Google Scholar]
- 9.Orth-Gomer K, Leineweber C. Multiple stressors and coronary disease in women. The Stockholm Female Coronary Risk Study. Biol Psychol 2005;69(1):57–66. [DOI] [PubMed] [Google Scholar]
- 10.Xu X, Bao H, Strait K, et al. Sex differences in perceived stress and early recovery in young and middle-aged patients with acute myocardial infarction. Circulation 2015;131(7): 614–23. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Xu X, Bao H, Strait KM, et al. Perceived stress after acute myocardial infarction: a comparison between young and middle-aged women versus men. Psychosom Med 2017;79(1):50–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Dreyer RP, Dharmarajan K, Kennedy KF, et al. Sex differences in 1-year all-cause rehospitalization in patients after acute myocardial infarction: a prospective observational study. Circulation 2017;135(6):521–31. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Rod NH, Gronbaek M, Schnohr P, et al. Perceived stress as a risk factor for changes in health behaviour and cardiac risk profile: a longitudinal study. J Intern Med 2009;266(5):467–75. [DOI] [PubMed] [Google Scholar]
- 14.Clark A, Lange T, Hallqvist J, et al. Sleep impairment and prognosis of acute myocardial infarction: a prospective cohort study. Sleep 2014;37(5):851–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Mosca L, Mochari-Greenberger H, Dolor RJ, et al. Twelve-year follow-up of American women’s awareness of cardiovascular disease risk and barriers to heart health. Circ Cardiovasc Qual Outcomes 2010;3(2):120–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Rozanski A, Blumenthal JA, Davidson KW, et al. The epidemiology, pathophysiology, and management of psychosocial risk factors in cardiac practice: the emerging field of behavioral cardiology. J Am Coll Cardiol 2005;45(5):637–51. [DOI] [PubMed] [Google Scholar]
- 17.Blumenthal JA, Jiang W, Waugh RA, et al. Mental stress-induced ischemia in the laboratory and ambulatory ischemia during daily life. Association and hemodynamic features. Circulation 1995;92(8):2102–8. [DOI] [PubMed] [Google Scholar]
- 18.Wei J, Rooks C, Ramadan R, et al. Meta-analysis of mental stress-induced myocardial ischemia and subsequent cardiac events in patients with coronary artery disease. Am J Cardiol 2014;114(2):187–92. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Vaccarino V, Shah AJ, Rooks C, et al. Sex differences in mental stress-induced myocardial ischemia in young survivors of an acute myocardial infarction. Psychosom Med 2014;76(3):171–80. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Samad Z, Boyle S, Ersboll M, et al. Sex differences in platelet reactivity and cardiovascular and psychological response to mental stress in patients with stable ischemic heart disease: insights from the REMIT study. J Am Coll Cardiol 2014;64(16):1669–78. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Nolen-Hoeksema S Emotion regulation and psychopathology: the role of gender. Annu Rev Clin Psychol 2012;8:161–87. [DOI] [PubMed] [Google Scholar]
- 22.Brosschot JF, Pieper S, Thayer JF. Expanding stress theory: prolonged activation and perseverative cognition. Psychoneuroendocrinology 2005;30(10):1043–9. [DOI] [PubMed] [Google Scholar]
- 23.Van Laethem M, Beckers DG, Kompier MA, et al. Bidirectional relations between work-related stress, sleep quality and perseverative cognition. J Psychosom Res 2015;79(5):391–8. [DOI] [PubMed] [Google Scholar]
- 24.Gerin W, Davidson KW, Christenfeld NJ, et al. The role of angry rumination and distraction in blood pressure recovery from emotional arousal. Psychosom Med 2006;68(1):64–72. [DOI] [PubMed] [Google Scholar]
- 25.Kubzansky LD, Kawachi I, Spiro III A, et al. Is worrying bad for your heart? A prospective study of worry and coronary heart disease in the Normative Aging Study. Circulation 1997;95(4):818–24. [DOI] [PubMed] [Google Scholar]
- 26.Kristofferzon ML, Lofmark R, Carlsson M. Myocardial infarction: gender differences in coping and social support. J Adv Nurs 2003;44(4):360–74. [DOI] [PubMed] [Google Scholar]
- 27.Mendes de Leon CF, Dilillo V, Czajkowski S, et al. Psychosocial characteristics after acute myocardial infarction: the ENRICHD pilot study. Enhancing Recovery in Coronary Heart Disease. J Cardiopulm Rehabil 2001;21(6):353–62. [DOI] [PubMed] [Google Scholar]
- 28.Uchino BN. Social support and health: a review of physiological processes potentially underlying links to disease outcomes. J Behav Med 2006;29(4):377–87. [DOI] [PubMed] [Google Scholar]
- 29.Bucholz EM, Strait KM, Dreyer RP, et al. Effect of low perceived social support on health outcomes in young patients with acute myocardial infarction: results from the VIRGO (Variation in Recovery: Role of Gender on Outcomes of Young AMI Patients) study. J Am Heart Assoc 2014;3(5), e001252. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Leifheit-Limson EC, Reid KJ, Kasl SV, et al. Changes in social support within the early recovery period and outcomes after acute myocardial infarction. J Psychosom Res 2012;73(1):35–41. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Galick A, D’Arrigo-Patrick E, Knudson-Martin C. Can anyone hear me? Does anyone see me? A qualitative meta-analysis of women’s experiences of heart disease. Qual Health Res 2015;25(8):1123–38. [DOI] [PubMed] [Google Scholar]
- 32.Junehag L, Asplund K, Svedlund M. A qualitative study: perceptions of the psychosocial consequences and access to support after an acute myocardial infarction. Intensive Crit Care Nurs 2014;30(1):22–30. [DOI] [PubMed] [Google Scholar]
- 33.Linden W, Phillips MJ, Leclerc J. Psychological treatment of cardiac patients: a meta-analysis. Eur Heart J 2007;28(24):2972–84. [DOI] [PubMed] [Google Scholar]
- 34.Gulliksson M, Burell G, Vessby B, et al. Randomized controlled trial of cognitive behavioral therapy vs standard treatment to prevent recurrent cardiovascular events in patients with coronary heart disease: Secondary Prevention in Uppsala Primary Health Care project (SUPRIM). Arch Intern Med 2011;171(2):134–40. [DOI] [PubMed] [Google Scholar]
- 35.Orth-Gomer K, Schneiderman N, Wang HX, et al. Stress reduction prolongs life in women with coronary disease: the Stockholm Women’s Intervention Trial for Coronary Heart Disease (SWITCHD). Circ Cardiovasc Qual Outcomes 2009;2(1):25–32. [DOI] [PubMed] [Google Scholar]
- 36.Cossette S, Frasure-Smith N, Lesperance F. Nursing approaches to reducing psychological distress in men and women recovering from myocardial infarction. Int J Nurs Stud 2002;39(5):479–94. [DOI] [PubMed] [Google Scholar]
- 37.Segal ZV, Williams JM, Teasdale J. Mindfulness-based cognitive therapy for depression. 2nd ed. London, UK: Guilford Press; 2013. [Google Scholar]
- 38.Beck AT, Haigh EA. Advances in cognitive theory and therapy: the generic cognitive model. Annu Rev Clin Psychol 2014;10:1–24. [DOI] [PubMed] [Google Scholar]
- 39.Hofmann SG, Sawyer AT, Witt AA, et al. The effect of mindfulness-based therapy on anxiety and depression: a meta-analytic review. J Consult Clin Psychol 2010;78(2): 169–83. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Abbott RA, Whear R, Rodgers LR, et al. Effectiveness of mindfulness-based stress reduction and mindfulness based cognitive therapy in vascular disease: a systematic review and meta-analysis of randomised controlled trials. J Psychosom Res 2014;76(5):341–51. [DOI] [PubMed] [Google Scholar]
- 41.Gotink RA, Chu P, Busschbach JJ, et al. Standardised mindfulness-based interventions in healthcare: an overview of systematic reviews and meta-analyses of RCTs. PLoS One 2015;10(4), e0124344. [DOI] [PMC free article] [PubMed] [Google Scholar] [Retracted]
- 42.Younge JO, Gotink RA, Baena CP, et al. Mind-body practices for patients with cardiac disease: a systematic review and meta-analysis. Eur J Prev Cardiol 2015;22(11):1385–98. [DOI] [PubMed] [Google Scholar]
- 43.Levine GN, Lange RA, Bairey-Merz CN, et al. Meditation and cardiovascular risk reduction: a scientific statement From the American Heart Association. J Am Heart Assoc 2017;6(10). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Loucks EB, Schuman-Olivier Z, Britton WB, et al. Mindfulness and cardiovascular disease risk: state of the evidence, plausible mechanisms, and theoretical framework. Curr Cardiol Rep 2015;17(12):112. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Nyklicek I, van Son J, Pop VJ, et al. Does Mindfulness-Based Cognitive Therapy benefit all people with diabetes and comorbid emotional complaints equally? Moderators in the DiaMind trial. J Psychosom Res 2016;91:40–7. [DOI] [PubMed] [Google Scholar]
- 46.Katz D, Toner B. A systematic review of gender differences in the effectiveness of mindfulness-based treatments for substance use disorders. Mind 2013;4(4): 318–31. [Google Scholar]
- 47.Rojiani R, Santoyo JF, Rahrig H, et al. Women benefit more than men in response to college-based meditation training. Front Psychol 2017;8:551. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.de Vibe M, Solhaug I, Tyssen R, et al. Mindfulness training for stress management: a randomised controlled study of medical and psychology students. BMC Med Educ 2013;13:107. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Stellefson M, Chaney B, Barry AE, et al. Web 2.0 chronic disease self-management for older adults: a systematic review. J Med Internet Res 2013;15(2), e35. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Krebs P, Duncan DT. Health app use among US mobile phone owners: a national survey. JMIR Mhealth Uhealth 2015;3(4), e101. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Mohr DC, Burns MN, Schueller SM, et al. Behavioral intervention technologies: evidence review and recommendations for future research in mental health. Gen Hosp Psychiatry 2013;35(4):332–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Mohr DC, Vella L, Hart S, et al. The effect of telephone-administered psychotherapy on symptoms of depression and attrition: a meta-analysis. Clin Psychol 2008;15(3):243–53. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Thompson NJ, Patel AH, Selwa LM, et al. Expanding the efficacy of Project UPLIFT: Distance delivery of mindfulness-based depression prevention to people with epilepsy. J Consult Clin Psychol 2015;83(2):304–13. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Thompson NJ, Walker ER, Obolensky N, et al. Distance delivery of mindfulness-based cognitive therapy for depression: project UPLIFT. Epilepsy Behav 2010;19(3):247–54. [DOI] [PubMed] [Google Scholar]
- 55.Reilly-Spong M, Reibel D, Pearson T, et al. Telephone-adapted mindfulness-based stress reduction (tMBSR) for patients awaiting kidney transplantation: trial design, rationale and feasibility. Contemp Clin Trials 2015;42:169–84. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Cox CE, Porter LS, Buck PJ, et al. Development and preliminary evaluation of a telephone-based mindfulness training intervention for survivors of critical illness. Ann Am Thorac Soc 2014;11(2):173–81. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Salmoirago-Blotcher E, Crawford SL, Carmody J, et al. Phone-delivered mindfulness training for patients with implantable cardioverter defibrillators: results of a pilot randomized controlled trial. Ann Behav Med 2013;46(2):243–50. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.White H, Thygesen K, Alpert JS, et al. Universal MI definition update for cardiovascular disease. Curr Cardiol Rep 2014;16(6):492. [DOI] [PubMed] [Google Scholar]
- 59.Rumsfeld JS, Alexander KP, Goff DC Jr, et al. Cardiovascular health: the importance of measuring patient-reported health status: a scientific statement from the American Heart Association. Circulation 2013;127(22):2233–49. [DOI] [PubMed] [Google Scholar]
- 60.Idler EL, Benyamini Y. Self-rated health and mortality: a review of twenty-seven community studies. J Health Soc Behav 1997;38(1):21–37. [PubMed] [Google Scholar]
- 61.Lichtman JH, Bigger JT Jr, Blumenthal JA, et al. Depression and coronary heart disease: recommendations for screening, referral, and treatment: a science advisory from the American Heart Association Prevention Committee of the Council on Cardiovascular Nursing, Council on Clinical Cardiology, Council on Epidemiology and Prevention, and Interdisciplinary Council on Quality of Care and Outcomes Research: endorsed by the American Psychiatric Association. Circulation 2008;118(17):1768–75. [DOI] [PubMed] [Google Scholar]
- 62.Davidson KW, Kupfer DJ, Bigger JT, et al. Assessment and treatment of depression in patients with cardiovascular disease: National Heart, Lung, and Blood Institute Working Group Report. Psychosom Med 2006;68(5):645–50. [DOI] [PubMed] [Google Scholar]
- 63.Roest AM, Martens EJ, Denollet J, et al. Prognostic association of anxiety post myocardial infarction with mortality and new cardiac events: a meta-analysis. Psychosom Med 2010;72(6):563–9. [DOI] [PubMed] [Google Scholar]
- 64.Taylor BJ, Irish LA, Martire LM, et al. Avoidant coping and poor sleep efficiency in dementia caregivers. Psychosom Med 2015;77(9):1050–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Dew MA, Hoch CC, Buysse DJ, et al. Healthy older adults’ sleep predicts all-cause mortality at 4 to 19 years of follow-up. Psychosom Med 2003;65(1):63–73. [DOI] [PubMed] [Google Scholar]
- 66.Spertus JA, Winder JA, Dewhurst TA, et al. Development and evaluation of the Seattle Angina Questionnaire: a new functional status measure for coronary artery disease. J Am Coll Cardiol 1995;25(2):333–41. [DOI] [PubMed] [Google Scholar]
- 67.Chan PS, Jones PG, Arnold SA, et al. Development and validation of a short version of the Seattle angina questionnaire. Circ Cardiovasc Qual Outcomes 2014;7(5):640–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Ware J Jr, Kosinski M, Keller SD. A 12-Item Short-Form Health Survey: construction of scales and preliminary tests of reliability and validity. Med Care 1996;34(3):220–33. [DOI] [PubMed] [Google Scholar]
- 69.Hays RD, Bjorner JB, Revicki DA, et al. Development of physical and mental health summary scores from the patient-reported outcomes measurement information system (PROMIS) global items. Qual Life Res 2009;18(7):873–80. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Kroenke K, Spitzer RL, Williams JB. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med 2001;16(9):606–13. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71.Bjelland I, Dahl AA, Haug TT, et al. The validity of the Hospital Anxiety and Depression Scale. An updated literature review. J Psychosom Res 2002;52(2):69–77. [DOI] [PubMed] [Google Scholar]
- 72.Bohlmeijer E, ten Klooster PM, Fledderus M, et al. Psychometric properties of the five facet mindfulness questionnaire in depressed adults and development of a short form. Assessment 2011;18(3):308–20. [DOI] [PubMed] [Google Scholar]
- 73.Trapnell PD, Campbell JD. Private self-consciousness and the five-factor model of personality: distinguishing rumination from reflection. J Pers Soc Psychol 1999;76(2):284–304. [DOI] [PubMed] [Google Scholar]
- 74.Mitchell PH, Powell L, Blumenthal J, et al. A short social support measure for patients recovering from myocardial infarction: the ENRICHD Social Support Inventory. J Cardiopulm Rehabil 2003;23(6):398–403. [DOI] [PubMed] [Google Scholar]
- 75.Vaglio J Jr, Conard M, Poston WS, et al. Testing the performance of the ENRICHD Social Support Instrument in cardiac patients. Health Qual Life Outcomes 2004;2:24. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76.Morgenthaler T, Alessi C, Friedman L, et al. Practice parameters for the use of actigraphy in the assessment of sleep and sleep disorders: an update for 2007. Sleep 2007;30(4):519–29. [DOI] [PubMed] [Google Scholar]
- 77.Full KM, Kerr J, Grandner MA, et al. Validation of a physical activity accelerometer device worn on the hip and wrist against polysomnography. Sleep Health 2018;4:209–16. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78.Keyworth C, Knopp J, Roughley K, et al. A mixed-methods pilot study of the acceptability and effectiveness of a brief meditation and mindfulness intervention for people with diabetes and coronary heart disease. Behav Med 2014;40(2):53–64. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 79.Carmody J, Baer RA. How long does a mindfulness-based stress reduction program need to be? A review of class contact hours and effect sizes for psychological distress. J Clin Psychol 2009;65(6):627–38. [DOI] [PubMed] [Google Scholar]
- 80.Vettese LC, Toneatto T, Stea JN, et al. Do mindfulness meditation participants do their homework? And does it make a difference? A review of the empirical evidence. J Cogn Psychother 2009;23(3):198–225. [Google Scholar]
- 81.Segal ZV, Teasdale JD, Williams JM, et al. The Mindfulness-Based Cognitive Therapy Adherence Scale: inter-rater reliability, adherence to protocol and treatment distinctiveness. Clin Psychol Psychother 2002;9:131–8. [Google Scholar]
- 82.van Son J, Nyklicek I, Pop VJ, et al. Mindfulness-based cognitive therapy for people with diabetes and emotional problems: long-term follow-up findings from the DiaMind randomized controlled trial. J Psychosom Res 2014;77(1):81–4. [DOI] [PubMed] [Google Scholar]
- 83.Mosca L, Ouyang P, Hubel CA, et al. Go Red for Women Strategically Focused Research Network Centers. Circulation 2017;135(6):609–11. [DOI] [PubMed] [Google Scholar]
- 84.Rollman BL, Belnap BH, LeMenager MS, et al. Telephone-delivered collaborative care for treating post-CABG depression: a randomized controlled trial. JAMA 2009;302(19):2095–103. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 85.Mittleman MA, Mostofsky E. Physical, psychological and chemical triggers of acute cardiovascular events: preventive strategies. Circulation 2011;124(3):346–54. [DOI] [PMC free article] [PubMed] [Google Scholar]