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Religious practices and changes in health-related quality of life after hospital discharge for an acute coronary syndrome

Abstract

Background

Religious beliefs and practices influence coping mechanisms and quality of life in patients with various chronic illnesses. However, little is known about the influence of religious practices on changes in health-related quality of life (HRQOL) among hospital survivors of an acute coronary syndrome (ACS). The present study examined the association between several items assessing religiosity and clinically meaningful changes in HRQOL between 1 and 6 months after hospital discharge for an ACS.

Methods

We recruited patients hospitalized for an ACS at six medical centers in Central Massachusetts and Georgia (2011–2013). Participants reported making petition prayers for their health, awareness of intercessory prayers by others, and deriving strength/comfort from religion. Generic HRQOL was assessed with the SF-36®v2 physical and mental component summary scores. Disease-specific HRQOL was evaluated using the Seattle Angina Questionnaire Quality of Life subscale (SAQ-QOL). We separately examined the association between each measure of religiosity and the likelihood of experiencing clinically meaningful increase in disease-specific HRQOL (defined as increases by ≥10.0 points) and Generic HRQOL (defined as increases by ≥3.0 points) between 1- and 6-months post-hospital discharge.

Results

Participants (n = 1039) were, on average, 62 years old, 33% were women, and 86% were non-Hispanic White. Two-thirds reported praying for their health, 88% were aware of intercessions by others, and 85% derived strength/comfort from religion. Approximately 42, 40, and 26% of participants experienced clinically meaningful increases in their mental, physical, and disease-specific HRQOL respectively. After adjustment for sociodemographic, psychosocial, and clinical characteristics, petition (aOR:1.49; 95% CI: 1.09–2.04) and intercessory (aOR:1.72; 95% CI: 1.12–2.63) prayers for health were associated with clinically meaningful increases in disease-specific and physical HRQOL respectively.

Conclusions

Most ACS survivors in a contemporary, multiracial cohort acknowledged praying for their health, were aware of intercessory prayers made for their health and derived strength and comfort from religion. Patients who prayed for their health and those aware of intercessions made for their health experienced improvement in their generic physical and disease-specific HRQOL over time. Healthcare providers should recognize that patients may use prayer as a coping strategy for improving their well-being and recovery after a life-threatening illness.

Background

Approximately 1.1 million adults are hospitalized annually for acute coronary syndrome (ACS) in the United States, constituting a major source of morbidity and mortality [1]. Due to the life-threatening experience of ACS, patients are at increased risk for declining health status and quality of life (QOL) following hospital discharge for ACS [2]. Health-related quality of life (HRQOL), which is characterized by patient’s perception of their well-being, is increasingly being used as an important patient-reported outcome measure for assessing treatment effectiveness and recovery after ACS [3]. Several studies have shown HRQOL to be an independent predictor of subsequent morbidity and mortality in hospital survivors of ACS, with substantial impairment in HRQOL and loss of productive years [4, 5].

Since ACS survivors tend to have impaired HRQOL, management strategies aimed at improving patients’ clinical status and well-being are desirable [6]. While the influence of several sociodemographic and clinical factors on HRQOL among survivors of ACS has been studied [7, 8], very limited research has been conducted to understand the influence of religiosity on HRQOL among hospital survivors of ACS. Religious beliefs and practices provide vital strategies for coping with illness, including strength and optimism in the acute phase of an illness and recovery period [9, 10]. Cross-sectional [11, 12] and longitudinal [13] studies that have examined the relationship between religiosity/spirituality and QOL among patients with various forms of cardiovascular disease (CVD) have, however, demonstrated mixed findings. In our recent systematic review [14], we only identified two earlier studies that examined the influence of patient’s religiosity/spirituality on QOL after ACS. These studies were limited by their small sample size and participants were recruited from a single site with ethnic and religious homogeneity, precluding generalizability to more diverse settings and populations [15, 16].

Using data from a large and socioeconomically diverse cohort of patients hospitalized for ACS, we examined the association between several measures of religiosity and clinically meaningful changes in HRQOL between 1 and 6 months after hospital discharge for ACS.

Methods

Study design and population

The Transitions, Risks and Actions in Coronary Events: Center for Outcomes Research and Education (TRACE-CORE) study [17] used a multi-center prospective cohort design to enroll 2174 adults hospitalized for ACS at six medical centers in Central Massachusetts and Georgia (April 2011–May 2013). Two cardiologists independently validated the diagnosis of an ACS based on standard criteria [18]. Each validated case of ACS was categorized as either ST-segment elevation acute myocardial infarction (STEMI), Non-ST segment elevation acute myocardial infarction (NSTEMI), or unstable angina [18]. Trained research personnel abstracted data from electronic medical records on patient’s clinical variables. In addition, we obtained information about patient sociodemographic, psychosocial, and behavioral characteristics from an extensive baseline interview during the index hospitalization in-person or within 72 h of discharge by telephone. Patients participated in additional telephone interviews after hospital discharge. Institutional Review Boards (IRBs) at the participating sites approved the study, and participants provided written informed consent.

Measures of religiosity

Patients self-reported three measures of religiosity during hospitalization for ACS. The first item asked: “How much is religion a source of strength and comfort to you?”. Response options were “a great deal”, “a little”, “some”, and “none” (referent group). We combined responses of “some” or “little” for analysis. The second item assessed petition prayers for health by asking, “Do you use prayer specifically for your health?” with responses “Yes” or “No” (referent). The third item inquired about intercessory prayers for health: “Do you know of others outside of your family who are praying for your health?” with responses “Yes” or “No” (referent). We evaluated the three measures of religiosity separately in assessing the influence of religious practices on changes in HRQOL.

Measures of HRQOL

Patient’s generic HRQOL was assessed using the SF-36®v2 Health Survey with norm-based physical and mental well-being component summary scores ranging from 0 to 100; higher scores indicate better generic HRQOL [19]. The physical health dimension assesses bodily pain, physical functioning, role limitations due to physical health, and general well-being [19]. The mental health component assesses emotional role, vitality, social functioning and mental well-being [19]. Clinically meaningful increases in generic HRQOL was defined by changes of ≥3.0 points [20]. Disease-specific HRQOL was assessed with the 3-item quality of life subscale from the Seattle Angina Questionnaire (SAQ-QOL), a validated and reliable measure for patients with coronary heart disease with scores ranging from 0 to 100; higher scores indicate better HRQOL [21]. The SAQ-QOL measures how patients’ physical symptoms (chest pain, chest tightness, or angina) may interfere with their enjoyment of life, and how often they worry about experiencing a heart attack or sudden death [21]. We defined clinically meaningful increases in disease-specific HRQOL by changes of ≥10.0 points [21]. Our rationale for using HRQOL measures obtained at 1-and 6-months post-hospital discharge was, that items in the SF-36®v2 questionnaire reflect patient well-being in the 4-week period after experiencing an ACS, and the 6-month window is relevant in cardiac rehabilitation since most patients typically recover within 12 weeks after an ACS [22]. Inasmuch, we examined if improvement in patient well-being was sustained in the 6-month period after an ACS.

Participant baseline characteristics

We obtained data on patient’s age, sex, race/ethnicity, level of education, marital status, and employment status. Symptoms of anxiety were measured using the 7-item Generalized Anxiety Disorder questionnaire (GAD-7) [23]. Symptoms of depression were assessed with the 9-item Patient Health Questionnaire (PHQ-9) [24]. The extent to which patients found their lives “uncontrollable, unpredictable and overloading” was assessed with the 4-item Perceived Stress Scale [25]. Social support was measured with 5 items from the Medical Outcomes Social Support Survey Instrument [26]. Patients were asked how confident they were in filling out health forms; they were considered to have low health literacy if they reported having little or no confidence [27]. The 6-item patient Activation Measure (PAM-6) assessed the extent of patient’s knowledge, confidence, and skills in managing their disease [28]. The 11-item Telephone Interview for Cognitive Status (TICS) assessed cognitive status 1-month post-discharge [29].

Lifestyle variables included smoking history and alcohol use. Clinical characteristics included ACS subtype (STEMI, NSTEMI, unstable angina), previously diagnosed co-morbidities, receipt of coronary reperfusion therapy, length of index hospitalization, and referral for cardiac rehabilitation. The Global Registry of Acute Coronary Events (GRACE) risk score (2.0) for long-term mortality was calculated using information on patient’s age, heart rate, systolic blood pressure, elevated cardiac enzymes, ST-segment changes, serum creatinine levels, and the presence of heart failure and cardiac arrest at hospital admission [30].

Data analysis

We excluded participants with missing information on covariates (race = 10, gender = 19, social support = 22, perceived stress = 35, anxiety symptoms = 27, depression symptoms = 37, GRACE risk score = 39, ACS classification = 46, and referral to cardiac rehabilitation = 41), measures of religiosity (n = 41), and patients whose HRQOL measures were not available at 1 (n = 163) and 6 (n = 650) months post-discharge due to attrition. The analytic sample consisted of 1039 participants of the original study cohort of 2174 patients discharged from participating hospitals after a confirmed ACS.

Descriptive statistics were used to compare patients’ baseline characteristics in relation to the three measures of religiosity. Unpaired t-tests and chi-square compared differences in continuous and categorical variables, respectively. We used paired t-tests to examine differences in mean HRQOL scores from 1 to 6 months after hospital discharge.

Using logistic regression models, we estimated the likelihood of experiencing a clinically meaningful increase in HRQOL between 1 and 6 months after hospital discharge according to the three measures of religiosity. We created separate models to examine the association between each measure of religiosity and changes in generic and disease-specific HRQOL. For multivariable adjustment, potentially confounding variables were included in the regression model based on clinical judgement and factors known to be associated with religiosity and HRQOL. Additional potential confounders were tested to determine if their presence in the model changed the religiosity effect-estimate by more than 10% [31]. We sequentially adjusted for a number of patient associated factors. First, we adjusted for sociodemographic characteristics (age, sex, and race/ethnicity). Subsequently, clinical variables (length of index hospitalization, type of ACS, receipt of coronary reperfusion therapy, referral for cardiac rehabilitation, and GRACE-risk score) were added to the models. Finally, psychosocial measures including symptoms of depression and anxiety and perceived stress, were adjusted for in our models. Since clinical practices and access to healthcare may vary across the participating hospitals, we adjusted for study site in all regression models. Multicollinearity was evaluated and ruled out by using a variance inflation factor (VIF) of ≥3 to detect correlation between covariates. There was no collinearity (VIF = 1.63) between the covariates included in the fully adjusted regression models.

We considered that the relationship between intercessory prayers for health and changes in health-related QOL may differ according to the extent of the patient’s social support system. Inasmuch, we included interaction terms in the initial regression models as product terms between intercessory prayers for health and social support for the respective QOL outcomes. None of the interaction terms in the models were statistically significant. Likelihood ratio tests were used to compare the models with and without interaction terms. We observed no significant differences between the tested models and have provided results from the parsimonious regression models without interaction terms.

In addition to examining the association between religiosity and clinically meaningful changes in disease specific QOL, as assessed by the SAQ-QOL domain, we examined the association between each religiosity item and the other SAQ domains (physical limitation, angina stability, angina frequency, and treatment satisfaction). Each SAQ domain has been independently validated and shown to be reliable and prognostic of cardiovascular outcomes after an ACS [32].

We also conducted sensitivity analysis using inverse probability weighting (IPW) regression models [33] to account for potential selection bias due to differential losses to follow-up among our study participants at 1 and 6 months. The IPW technique assigns a weight to each participant which is equivalent to the inverse probability of remaining in the study at the time points of interest [33]. The censoring weights are applied to the observed population, and censored participants are accounted for, by up-weighting uncensored participants with the same values of observed covariates and measures of exposure [33].

Results

Participant baseline characteristics

Study participants (n = 1039) were, on average, 62 years old, 33% were women, and 86% were non-Hispanic White. In comparison with included participants, excluded patients were younger, more likely to be of racial/ethnic minority group, had less than high school education and were more likely to be uninsured. Excluded participants reported higher levels of perceived stress, and moderate/severe symptoms of depression and anxiety, had low health literacy, were less likely to have undergone coronary reperfusion therapy during hospitalization, and to have been referred for cardiac rehabilitation (p < 0.001). There were no significant differences in the prevalence of the three measures of religiosity between included and excluded study participants.

Participant characteristics according to measures of religiosity

Study participants reported deriving a great deal (n = 524; 50.4%) and little/some (n = 362; 34.8%) strength and comfort from religion, while a lesser proportion reported deriving none (n = 153; 14.7%). More than one-half of participants prayed for their health (n = 616; 59.3%), and a majority were aware of intercessory prayers made for their health (n = 918; 88.3%) (Table 1). Participants with affirmative responses to all three measures of religiosity were more likely to be women, non-Hispanic Blacks, report no use of alcohol, were non-smokers, and were less likely to be referred for cardiac rehabilitation than patients who did not respond in the affirmative to the religiosity measures. Severe symptoms of depression and anxiety, and higher levels of perceived stress were more prevalent among those who prayed or were aware of intercessions made for their health.. A greater proportion of participants who prayed for their health were older, more likely to be cognitively impaired, had more previously diagnosed comorbidities, had an NSTEMI, and underwent coronary artery by-pass graft surgery during their index hospitalization than those who did not pray for their health (p < 0.05 for all comparisons) (Table 1).

Table 1 Baseline sociodemographic, psychosocial and clinical characteristics of hospital survivors of an acute coronary syndrome according to measures of religiosity, TRACE-CORE

Generic mental and physical HRQOL

Overall, study participants experienced a significant increase in mean MCS scores from 50.7 at 1 month to 52.5 at 6 months post-hospital discharge (p < 0.001); 42.3% of patients experienced a clinically meaningful increase in their MCS score (i.e. ≥3.0 points). A significantly higher proportion of participants who reported deriving a great deal or little/some strength and comfort from religion experienced clinically meaningful increases in their MCS-HRQOL score compared with those who derived none (47.0% vs 38.6% vs 34.6%). Similarly, a higher proportion of patients who were aware of intercessions made for their health experienced a clinically meaningful increase in their MCS-HRQOL score (Table 2).

Table 2 Generic and disease specific HRQOL scores, mean change and clinically meaningful increase in survivors of acute coronary syndrome after 1 to 6 months for hospital discharge

For all patients, the average PCS scores increased by 1.6 points from 42.3 at 1 month to 43.9 at 6 months post-hospital discharge (p < 0.001); less than half (40%) experienced a clinically meaningful increase in their PCS score (i.e. ≥3.0 points). A significantly higher proportion of patients who had intercessions made for their health experienced a clinically meaningful increase in their PCS-HRQOL score compared with those unaware of intercessions made for their health (Table 2).

Disease-specific HRQOL

Overall, the mean disease-specific HRQOL scores increased from 75.5 at 1 month to 80.3 at 6 months post-discharge (p < 0.001); 26.5% of patients experienced a clinically meaningful increase in their disease-specific HRQOL score (i.e. ≥10.0 points).. A significantly higher proportion of patients who prayed for their health experienced a clinically meaningful increase in their disease-specific HRQOL score than those who did not pray for their health (Table 2).

Association between religiosity and changes in generic and disease-specific HRQOL

After adjusting for several sociodemographic, clinical, and psychosocial characteristics, patients aware of intercessory prayers made for their health experienced a clinically meaningful increase in their generic physical HRQOL between 1- and 6-months post-hospital discharge compared with those unaware of intercessions made for their health (adjusted Odd Ratio [aOR]:1.72; 95% CI: 1.12–2.63). Similarly, patients who prayed for their health were more likely to experience a clinically meaningful increase in their disease-specific HRQOL (Table 3).

Table 3 Association between religiosity measures and clinically meaningful increase in generic and disease specific HRQOL among survivors of acute coronary syndrome after 1 to 6 months for hospital discharge

In examining the association between religiosity and the other SAQ domains, participants who reported petition or intercessory prayers for their health had clinically meaningful improvement in their physical limitation compared with those without petition or intercessory prayers made for their health, respectively. Participants who reported receiving strength and comfort from religion were less likely to experience clinical improvement in their angina symptoms. Lastly, those who reported petition prayers for their health had greater clinical improvement in the frequency of their angina symptoms (Additional file 1).

The results from our sensitivity analysis using IPW regression models generated effect estimates consistent with those obtained from the unweighted regression models (Additional file 2), reducing the likelihood of potential selection bias.

Discussion

In this prospective study we examined the influence of religious practices on clinically meaningful changes in generic physical and mental, and disease-specific HRQOL between 1- and 6-months after hospital discharge for ACS. Most participants acknowledged praying for their health, were aware of intercessory prayers made for their health, and derived strength and comfort from religion. However, less than one-half of patients experienced clinically meaningful increases in their generic mental and physical HRQOL, and only one in four patients had an increase in their disease-specific HRQOL between 1- and 6-months post-discharge. After accounting for several potentially confounding sociodemographic, clinical, and psychosocial variables, participants aware of intercessions made for their health and those who prayed for their health were more likely to experience clinically meaningful increases in their generic physical and disease-specific HRQOL over time.

Extent of religious practices for health

The high levels of religious engagement for health reported by our study participants is consistent with the findings in other patient populations. In a sample of 151 patients who underwent CABG surgery, 68% reported praying for their health to cope in the post-operative period [34]. In a nationally representative sample of 2262 American adults with a history of cancer, 69% reported using prayers for their own health [35]. In a qualitative study of 9 patients with an acute myocardial infarction in Iran, participants mentioned that trust in God, praying for their health, and deriving strength from their religion provided a coping mechanism in dealing with their life-threatening illness and aided their recovery process [36]. Our results and those from other studies suggest that in stressful life circumstances such as an acute illness, patients may utilize their beliefs including praying for their health or seeking strength from God to provide meaning, hope, and support in dealing with their illness [37]. To ensure a holistic approach in patient management, healthcare providers need to acknowledge the role of patient’s religious beliefs in influencing their recovery from illness, perception of their well-being, and engagement with their healthcare.

Religiosity and changes in generic physical and mental HRQOL

Overall, our study participants had lower physical HRQOL scores in comparison with their mental HRQOL scores at 1- and 6-months post-discharge and were more likely to experience greater improvement in their mental than in their physical well-being. Our findings align with previous studies reporting greater impairment in physical functioning compared with mental functioning after hospital discharge for an ACS [38, 39]. The distressing physical symptoms associated with ACS such as fatigue, dyspnea, or chest pain have been shown to negatively impact patient’s physical well-being to a greater extent than their mental well-being [38]. When faced with such a potentially life-threatening illness, in addition to seeking medical intervention, patients may pray for their healing and request intercessory prayers from others for their health. The awareness of being prayed for could foster a feeling of spiritual support, improved well-being, greater resilience, and the ability to cope with their physical symptoms [40, 41]. In support of this claim, we found that study participants aware of intercessions made for their health were more likely to experience clinically meaningful increases in their physical HRQOL than those unaware of intercessions made for their health, even after adjustment for various potential confounders including receipt of coronary reperfusion therapy and referral to cardiac rehabilitation.

In the present study, patients who endorsed all three measures of religiosity were more likely to experience clinically meaningful increases in their mental HRQOL. However, this association was rendered non-statistically significant in the fully adjusted regression models. Prior studies have shown a positive influence of religiosity on mental health with greater life satisfaction, and reduced feelings of hopelessness when faced with challenging circumstances [42, 43]. However, the influence of religiosity on mental wellbeing may be cumulative over the life course as one develops faith in God and confidence in their ability to deal with challenging situations [44]. A possible reason why our measures of religiosity were not significantly associated with changes in mental HRQOL may be due to our inability to account for time varying confounding since we assessed religiosity at only one point in time, and not serially. Our measures did not adequately capture patient’s religiosity before their illness and whether they increased or decreased their religious practices in the months after hospital discharge. This underscores the need for future longitudinal studies to better understand how changes in religious practices may influence long-term health outcomes using a life-course approach.

Religiosity and changes in disease-specific HRQOL

Consistent with our hypothesis, we found that patients who prayed for their health experienced clinically meaningful increases in their disease-specific HRQOL. Praying for one’s health during recovery from illness has been associated with high levels of optimism, making meaning of an illness experience, and fosters well-being [45]. Our results are consistent with reports from prior studies [46, 47]. Among cardiac patients undergoing bypass surgery, positive aspects of religious coping such as seeking spiritual support and healing from God, was associated with less distress and fatigue [46]. Similarly, in those living with HIV/AIDS, praying at least once daily was associated with improved quality of life and emotional well-being [47]. It is important to note, however, that with religious struggle and negative religious coping where those who pray for their health focus solely on being healed, this may lead to increased levels of anxiety and negatively impact their recovery and wellbeing [48]. Healthcare providers need to acknowledge the possibility of negative religious coping and refer to hospital chaplains to assist patients in overcoming such religious struggle or negative coping detrimental to their health.

Study strengths and limitations

The present study has several strengths. To the best of our knowledge, this is the first contemporary inquiry into the influence of prayers for health and strength/comfort from religion on changes in HRQOL among hospital survivors of ACS from a large cohort with racial and sociodemographic diversity. Our measures of religiosity directly captured patient’s utilization of their religious beliefs and practices during recovery from a potentially life-threatening cardiovascular disease. In addition, we adjusted for several psychological factors known to impact quality of life including symptoms of depression, anxiety, and perceived stress [49]. Despite adjusting for several important potential confounders, there remains the likelihood of residual and unmeasured confounding given our observational study design. In addition, our findings of high religious engagement among our study participants in the immediate period of a life-threatening illness may not be generalizable to more chronically ill patients who may have adapted to their illness. Despite these limitations, our study demonstrates that praying for one’s recovery might influence their well-being, hence buttressing the need for a holistic approach in patient management, addressing the needs of the body, mind, and spirit for a healthier being.

Conclusions

Most ACS survivors in a contemporary, multiracial cohort acknowledged praying for their health, were aware of others praying for their health, and reported deriving strength and comfort from religion. Petition and intercessory prayers for health were associated with greater improvement in disease-specific and generic physical HRQOL over a 6-month follow-up period. Our findings are consistent with a recent scientific statement by the American Heart Association (AHA) which suggest that meditation practices, including prayers, are beneficial in improving cardiovascular health outcomes with notably low costs of implementation [50]. This AHA expert panel also recommended that meditation practices be considered as an adjunct to guideline directed cardiovascular risk reduction, especially for patients interested in lifestyle modification.

Availability of data and materials

The datasets used and analyzed during the current study are available from the corresponding author on reasonable request.

Abbreviations

ACS:

Acute Coronary Syndrome(s)

AHA:

American Heart Association

CABG:

Coronary Artery Bypass Graft

CVD:

Cardiovascular disease

GRACE:

Global Registry of Acute Coronary Events

HRQOL:

Health-Related Quality of Life

IPW:

Inverse Probability Weights

NSTEMI:

Non-ST Elevated Myocardial Infarction

PAM-6:

6-item Patient Activation Measure

PCI:

Percutaneous Coronary Intervention

PHQ-9:

Patient Health Questionnaire – 9

QOL:

Quality of Life

SF-36:

36-Item Short Form Survey (SF-36)

STEMI:

ST-Elevated Myocardial Infarction

TICS:

Telephone Interview for Cognitive Status

TRACE-CORE:

Transitions, Risks, and Actions in Coronary Events – Center for Outcomes Research and Education

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.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Schweikert B, Hunger M, Meisinger C, Konig HH, Gapp O, Holle R. Quality of life several years after myocardial infarction: comparing the MONICA/KORA registry to the general population. Eur Heart J. 2009;30:436–43.

    Article  PubMed  Google Scholar 

  3. Cepeda-Valery B, Cheong AP, Lee A, Yan BP. Measuring health related quality of life in coronary heart disease: the importance of feeling well. Int J Cardiol. 2011;149:4–9.

    Article  PubMed  Google Scholar 

  4. Kato N, Kinugawa K, Seki S, Shiga T, Hatano M, Yao A, et al. Quality of life as an independent predictor for cardiac events and death in patients with heart failure. Circ J. 2011;75:1661–9.

    Article  PubMed  Google Scholar 

  5. Issa SM, Hoeks SE, Scholte op Reimer WJM, et al. Health-related quality of life predicts long-term survival in patients with peripheral artery disease. Vasc Med. 2010;15:163–9.

    Article  PubMed  Google Scholar 

  6. Moryś JM, Bellwon J, Höfer S, Rynkiewicz A, Gruchała M. Quality of life in patients with coronary heart disease after myocardial infarction and with ischemic heart failure. Arch Med Sci. 2016;12(2):326–33.

    Article  PubMed  Google Scholar 

  7. Hawkes AL, Patrao TA, Ware R, et al. Predictors of physical and mental health-related quality of life outcomes among myocardial infarction patients. BMC Cardiovasc Dis. 2013;13:69.

    Article  Google Scholar 

  8. Grothusen C, Attmann T, Friedrich C, et al. Predictors for long-term outcome and quality of life of patients after cardiac surgery with prolonged intensive care unit stay. Interv Med Appl Sci. 2013;5:3–9.

    PubMed  PubMed Central  Google Scholar 

  9. Kamm-Steigelman L, Kimble LP, Dunbar S, Sowell RL, Bairan A. Religion, relationships and mental health in midlife women following acute myocardial infarction. Issues Men Health Nurs. 2006;27(2):141–59.

    Article  Google Scholar 

  10. Najafi Ghezeljeh T, Emami A. Strategies for recreating normal life: Iranian coronary heart disease patients’ perspectives on coping strategies. J Clin Nurs. 2014;23:2151–60.

    Article  PubMed  Google Scholar 

  11. Bekelman DB, Dy SM, Becker DM, et al. Spiritual well-being and depression in patients with heart failure. J Gen Intern Med. 2007;22(4):470–7.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Bang JS, Jo S, Kim GB, Kwon BS, Bae EJ, Noh CI, et al. The mental health and quality of life of adult patients with congenital heart disease. Int J Cardiol. 2013;170(1):49–53.

    Article  PubMed  Google Scholar 

  13. Strada EA, Homel P, Tennstedt S, Billings JA, Portenoy RK. Spiritual well-being in patients with advanced heart and lung disease. Palliat Support Care. 2013;11(3):205–13.

    Article  PubMed  Google Scholar 

  14. Abu HO, Ulbricht C, Ding E, et al. Association of religiosity and spirituality with quality of life in patients with cardiovascular disease: a systematic review. Qual Life Res. 2018;27(11):2777–97.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Trevino KM, McConnell TR. Religiosity and religious coping in patients with cardiovascular disease: change over time and associations with illness adjustment. J Relig Health. 2014;53(6):1907–17.

    Article  CAS  PubMed  Google Scholar 

  16. Trevino KM, McConnell TR. Religiosity and spirituality during cardiac rehabilitation: a longitudinal evaluation of patient-reported outcomes and exercise capacity. J Cardiopulm Rehabil Prev. 2015;35(4):246–54.

    Article  PubMed  Google Scholar 

  17. Waring ME, McManus RH, Saczynski JS, et al. Transitions, risks, and actions in coronary events-Center for Outcomes Research and Education (TRACE-CORE): design and rationale. Circ Cardiovasc Qual Outcomes. 2012;5:44–50.

    Article  Google Scholar 

  18. Anderson JL, Adams CD, Antman EM, et al. American College of Cardiology Foundation/American Heart Association task force on practice guidelines. 2012 ACCF/AHA focused update incorporated into the ACCF/AHA 2007 guidelines for the management of patients with unstable angina/non-ST-elevation myocardial infarction: a report of the American College of Cardiology Foundation/American Heart Association task force on practice guidelines. Circulation. 2013;127:663–828.

    Article  Google Scholar 

  19. Ware JEJ, Sherbourne CD. The MOS 36-item short-form health survey (SF-36). 1. Conceptual framework and item selection. Med Care. 1992;30:473–83.

    Article  PubMed  Google Scholar 

  20. Frendl DM, Ware JE Jr. Patient-reported functional health and well-being outcomes with drug therapy: a systematic review of randomized trials using the SF-36 health survey. Med Care. 2014;52:439–45.

    Article  PubMed  Google Scholar 

  21. 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. JACC. 1995;25:333–41.

    Article  CAS  PubMed  Google Scholar 

  22. Lavie CJ, Milani RV. Cardiac rehabilitation and exercise training in secondary coronary heart disease prevention. Prog Cardiovasc Dis. 2011;53(6):397–403.

    Article  PubMed  Google Scholar 

  23. Spitzer RL, Kroenke K, Williams JBW, Lowe B. A brief measure of assessing generalized anxiety disorder: the GAD-7. Arch Intern Med. 2006;166:1092–7.

    Article  PubMed  Google Scholar 

  24. Kroenke K, Spitzer RL, Williams JBW. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med. 2001;16:606–13.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Cohen S, Williamson GM. Perceived stress in a probability sample of the United States. In: Spacapan S, Oskamp S, editors. The social psychology of health. Newbury Park: Sage; 1988. p. 31–67.

    Google Scholar 

  26. Sherbourne CD, Stewart AL. The MOS social support survey. Soc Sci Med. 1991;32:705–14.

    Article  CAS  PubMed  Google Scholar 

  27. Powers BJ, Trinh JV, Bosworth HB. Can this patient read and understand written health information? JAMA. 2010;304:76–84.

    Article  CAS  PubMed  Google Scholar 

  28. Hibbard JH, Mahoney ER, Stockard J, Tusler M. Development and testing of a short form of the patient activation measure. Health Serv Res. 2005;40:1918–30.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Fong TG, Fearing MA, Jones RN, et al. Telephone interview for cognitive status: creating a crosswalk with the mini-mental state examination. Alzheimers Dement. 2009;5(6):492–7.

    Article  PubMed  PubMed Central  Google Scholar 

  30. Fox KA, Fitzgerald G, Puymirat E, et al. Should patients with acute coronary disease be stratified for management according to their risk? Derivation, external validation and outcomes using the updated GRACE risk score. BMJ Open. 2014;4:e004425.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Walter S, Tiemeier H. Variable selection: current practice in epidemiological studies. Eur J Epidemiol. 2009;24(12):733.

    Article  PubMed  PubMed Central  Google Scholar 

  32. Spertus JA, Jones P, McDonell M, Fan V, Fihn SD. Health status predicts long-term outcome in outpatients with coronary disease. Circulation. 2002;106(1):43–9.

    Article  PubMed  Google Scholar 

  33. Seaman SR, White IR. Review of inverse probability weighting for dealing with missing data. Stat Methods Med Res. 2013;22:278–95.

    Article  PubMed  Google Scholar 

  34. Ai AL, Bolling SF, Peterson C. The use of prayer by coronary artery bypass patients. Int J Psychol Relig. 2000;10(4):205–20.

    Article  Google Scholar 

  35. Ross LE, Hall IJ, Fairley TL, Taylor YT, Howard DL. Prayer and self-reported health among Cancer survivors in the United States, National Health Interview Survey, 2002. J Complement Altern Med. 2008;14(8):931–8.

    Article  Google Scholar 

  36. Momennasab M, Moattari M, Abbaszade A, Shamshiri B. Spirituality in survivors of myocardial infarction. Iran J Nurs Midwifery Res. 2012;17:343–51.

    PubMed  PubMed Central  Google Scholar 

  37. Jors K, Büssing A, Hvidt NC, Baumann K. Personal prayer in patients dealing with chronic illness: a review of the research literature. Evid Based Complement Alternat Med. 2015;2015:927973.

    Article  PubMed  PubMed Central  Google Scholar 

  38. Dessotte CAM, Dantas RAS, Schmidt A, Rossi LA. Health-related quality of life in patients admitted after a first episode of acute coronary syndrome. Revista Latino-Americana de Enfermagem. 2011;19(5):1106–13.

    Article  PubMed  Google Scholar 

  39. Failde II, Soto MM. Changes in health-related quality of life 3 months after an acute coronary syndrome. BMC Public Health. 2006;6:18.

    Article  PubMed  PubMed Central  Google Scholar 

  40. Park CL, Lim H, Newlon M, Suresh DP, Bliss DE. Dimensions of religiousness and spirituality as predictors of well-being in advanced chronic heart failure patients. J Relig Health. 2014;53(2):579–90.

    Article  PubMed  Google Scholar 

  41. Vila Vda S, Rossi LA, Costa MC. Heart disease experience of adults undergoing coronary artery bypass grafting surgery. Rev de Saúde Pública. 2008;42(4):750–6.

    Article  Google Scholar 

  42. Koenig HG. Religion, spirituality, and health: the research and clinical implications. ISRN Psychiatry. 2012;2012:33. Article ID 278730. https://doi.org/10.5402/2012/278730.

    Article  Google Scholar 

  43. Behere PB, Das A, Yadav R, Behere AP. Religion and mental health. Indian J Psychiatry. 2013;55(Suppl 2):S187–94.

    Article  PubMed  PubMed Central  Google Scholar 

  44. Vitorino LM, Lucchetti G, Leão FC, Vallada H, Peres MFP. The association between spirituality and religiousness and mental health. Sci Rep. 2018;8(1):17233.

    Article  PubMed  PubMed Central  Google Scholar 

  45. Boelens PA, Reeves RR, Replogle WH, Koenig HG. The effect of prayer on depression and anxiety: maintenance of positive influence one year after prayer intervention. Int J Psychiatry Med. 2012;43(1):85–98.

    Article  PubMed  Google Scholar 

  46. Ai AL, Dunkle RE, Peterson C, Bolling SF. The role of private prayer in psychological recovery among midlife and aged patients following cardiac surgery. Gerontologist. 1998;38:591–601.

    Article  CAS  PubMed  Google Scholar 

  47. Dalmida SG, Koenig HG, Holstad MM, Thomas TL. Religious and psychosocial covariates of health-related quality of life in people living with HIV/AIDS. HIV/AIDS Res Treat Open J. 2015;1(1):1–15.

    Article  Google Scholar 

  48. Masters KS, Spielmans GI. Prayer and health: review, meta-analysis, and research agenda. J Behav Med. 2007;30(4):329–38.

    Article  PubMed  Google Scholar 

  49. Turner A, O’Neil A. Psychological responses to acute coronary syndrome. In: Alvarenga M, Byrne D, editors. Handbook of Psychocardiology. Singapore: Springer; 2015.

    Google Scholar 

  50. Levine GN, Lange RA, Bairey-Merz CN, et al. American Heart Association Council on clinical cardiology; council on cardiovascular and stroke nursing; and council on hypertension. Meditation and cardiovascular risk reduction: a scientific statement from the American Heart Association. J Am Heart Assoc. 2017;6(10):e002218.

    Article  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

Not applicable.

Funding

Transitions, Risks, and Actions in Coronary Events: Center for Outcomes Research and Education (TRACE-CORE) was supported by National Institutes of Health (U01HL105268). The funding source was not involved in the data collection, analysis, interpretation, writing, and submission of the paper for publication.

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Contributions

HA: Conceptualization, Methodology, Formal Analysis, Writing-Original draft preparation, and Validation. DDM: Funding Acquisition, Investigation, Writing- Reviewing and Editing. DL: Investigation, Writing- Reviewing and Editing. RG: Funding Acquisition, Conceptualization, Writing- Reviewing and Editing, and Supervision. CK: Funding Acquisition, Investigation, Writing- Reviewing and Editing and Supervision. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Hawa O. Abu.

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Institutional Review Boards (IRBs0 at the participating study sites approved the study. Study participants provided written informed consent.

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Competing interests

DDM reports the following potential conflicts of interest: Consulting for Bristol Myers Squibb, Pfizer, Samsung, FlexCon, Philips, and ownership stake in Mobile Sense Technologies.

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Additional files

Additional file 1:

Association between religiosity measures and clinically meaningful increase in the other SAQ domains among survivors of acute coronary syndrome after 1 to 6 months for hospital discharge. (DOCX 13 kb)

Additional file 2:

Inverse probability weighted regression estimates on the association between religiosity measures and clinically meaningful increase in generic and disease specific HRQOL among survivors of acute coronary syndrome after 1 to 6 months for hospital discharge. (DOCX 13 kb)

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Abu, H.O., McManus, D.D., Lessard, D.M. et al. Religious practices and changes in health-related quality of life after hospital discharge for an acute coronary syndrome. Health Qual Life Outcomes 17, 149 (2019). https://doi.org/10.1186/s12955-019-1218-6

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