Abstract
Purpose:
To examine the relationships between spiritual health locus of control (SHLOC) and satisfaction with life in African American (AA) breast cancer survivors (BCS).
Methods:
A total of 118 AABCS completed a mailed survey. Logistic regression models were used to examine relationships among variables of interest.
Results:
Annual income and SHLOC were significantly associated with life satisfaction. In unadjusted analyses, high overall SHLOC increased the odds (odds ratio [OR] = 2.8) of being satisfied with life. The adjusted relationships between SHLOC and life satisfaction differed by income level. Among survivors with lower incomes, high spiritual life/faith and God’s grace subscale scores increased the odds of life satisfaction, when compared to those with higher incomes.
Conclusions:
Our data indicated that high overall SHLOC was significantly related to higher odds of life satisfaction. Further, SHLOC may serve as a resource to bolster life satisfaction, especially in low-income AA BCS.
Keywords: Quality of life, minorities, breast cancer, survivorship, quantitative research
Background
Among the 3.5 million female breast cancer survivors (BCS) in the US, over 300,000 are African American (AA).1 Following a cancer diagnosis, survivors cope with treatment-related side effects that may persist for years after treatment completion. Common treatment-related side effects include lymphedema, fatigue, muscle stiffness and weakness, sleep disturbances, sexual dysfunction, hot flashes, and deficits in both emotional and cognitive functioning.2 AA BCS have poor survival outcomes and experience the highest prevalence of treatment-related side effects when compared to women of other racial and ethnic groups.2,3 Regarding psychological symptoms, during the first two years of survivorship, an estimated 30–45% of BCS experience symptoms such as anxiety and depression.4 Impaired psychological and emotional adaptation can have lasting negative physiological consequences and higher risk of death.5,6 Studies have shown mixed results for racial differences in subjective well-being (i.e. psychological and emotional well-being), with some suggesting that racial differences are mediated by socioeconomic status.7 Due to the persistent nature of long-term cancer-related symptoms and poor overall health and well-being of AA BCS,2 examining the subjective well-being of BCS is paramount. Thus, it is critical to understand the mechanisms that diminish or enhance health in AA BCS.
Subjective well-being has two facets: a cognitive judgment of life satisfaction and an emotional aspect consisting of independent positive and negative affect components.8,9 Life satisfaction has been identified as an independent factor of subjective well-being that should be measured and studied separately.9 Life satisfaction represents a conscious cognitive evaluation of one’s level of enjoyment and contentment with their life led so far, and level of fulfillment of personal needs and desires.9 Individuals report high levels of life satisfaction if their perceived life circumstances are in line with their self-imposed life standards. Life satisfaction, measured by the satisfaction with life scale,9 has been used in hundreds of health-related studies and shown to be an effective outcome measure for intervention research.10 Understanding determinants of life satisfaction in AA BCS is essential to improving subjective well-being and potentially understanding the factors that may help to minimize racial disparities in health outcomes.
Spirituality may play a role in one’s life satisfaction and health outcomes. Studies have indicated that AAs have higher rates of spirituality than whites, and that spirituality often affects the lifestyle behaviors and treatment decisions of AAs.2,11 The relationship between spirituality and health outcomes is overwhelmingly positive;12 spirituality is associated with enhanced physical and mental functioning.2,12 Spirituality may work as a coping mechanism to help promote resilience and positive psychosocial outcomes after a cancer diagnosis.13,14 However, certain spiritual beliefs can lead to negative consequences.12 For example, while the belief that God works through doctors to cure breast cancer is associated with mammography utilization,,15 cancer diagnosis is sometimes associated with a sense of fatalism and choosing less aggressive cancer treatments from the belief that a cancer diagnosis is “a mandate from God that cannot be managed by the healthcare system.”16 The clarity of relationships and various ways that spirituality may influence health outcomes are poorly understood.17 Moreover, there are over 100 standardized measures of spirituality and religiosity that contribute to limited knowledge in understanding mechanisms targetable by intervention.18
Locus of control is one factor that may help explain the incongruence between spirituality and health outcomes. Locus of control (i.e. the internal and external factors and beliefs that influence outcomes) stems from Rotter’s social learning theory and represents the concept of generalized expectancies for prediction of behavior.19 In other words, a combination of an individual’s personality and life experience builds up a certain set of beliefs which therefore causes certain behavior. Rotter believed that “personality, and therefore behavior, is always changeable.” He conceived that if you change the way a person thinks or the environment a person is responding to, then behavior will change. In other words, life experiences afford a person’s set of beliefs which thereby requires interventions to affect change. Rotter developed the first internal-external locus of control scale.20 The underlying concept is that individuals vary in the degree to which they believe they have control over their own health. Derivations of locus of control (i.e. health locus of control21 and the multidimensional health locus of control22) were spawned in effort to increase predictive power in the relationship between locus of control and health outcomes. Among cancer patients and survivors, internal versus external loci of control are associated with physical and mental well-being.23 Cancer patients with higher external health locus of control may have poorer coping skills and experience higher rates of depression, anxiety, and worse physical well-being.23,24 For some, external locus of control may allow cancer patients to separate themselves from their illness and relinquish control and worry to “powerful others” such as their doctor or a higher power., leading to lower levels of distress.22,25 However, external locus of control can differ greatly in definition from chance, fate, doctors/healthcare providers, government, or a higher power (i.e. God).22,26
Qualitative work with AA women revealed that spirituality was a significant dimension of health locus of control beliefs that was not specifically addressed by existing health locus of control instruments. AA women often perceive a strong influence of God in shaping their actions and behaviors. Thus, the spiritual health locus of control was developed.26 The spiritual health locus of control (SHLOC) scale is a more precise measure in understanding the complex relationships between spirituality and health.26 The SHLOC was developed to link personal spiritual beliefs to how health outcomes are controlled. Individuals with an internal locus of control believe they have control, versus individuals with an external locus of control believe in a stronger role of God in their health. SHLOC also consists of active and passive factors that are distinct from the internal and external dimensions of control.26 The active spirituality factor describes the belief that God empowers individuals to take care of their health. It is a collaborative approach in which the individual shares responsibility with God for one’s health. The passive spirituality factor describes the belief that God entirely determines one’s health which largely minimizes individual responsibilities, making it unnecessary to engage in health-promoting behaviors.
Spiritual health locus of control has been associated with various behaviors and health outcomes. Active SHLOC has been positively associated with fruit consumption and negatively associated with alcohol consumption.27 Passive SHLOC has been associated with lower vegetable consumption, higher alcohol consumption and depressive symptoms.27,28 In AA women at high risk for breast cancer, the belief that God controls health has been associated with lower adherence to clinical recommendations for breast examinations and mammograms.29 The relationship between SHLOC and quality of life or life satisfaction has not been investigated in AA cancer survivors.
The purpose of this exploratory study was to determine whether SHLOC was related to life satisfaction. Limitations of previous work include the broad categorization of external locus of control (i.e. fate, luck, chance, doctors/healthcare providers, a higher power) and not measuring the effect of SHLOC on life satisfaction. Further, SHLOC and potential interactions between sociodemographic factors (i.e. education and income) that may have the greatest impact on well-being in AAs have not yet been determined.17 Previous studies have reported higher spirituality among BCS with lower education and lower income, and that perceptions of life satisfaction may be buffered by higher income levels.17 Locus of control beliefs and health outcomes may be moderated by socioeconomic status.30 Therefore, in this study we explore potential interactions by education and income. Providing insight on the specificity of these relationships may help to enhance life satisfaction via support-based interventions for AA BCS.
Methods
Study population
Survivors were identified between February 2014 and February 2015 via cases ascertained from tumor registries in a southwestern state, existing relationships with community-based organizations, and snowball sampling. Mailed surveys were sent to approximately 850 survivors from tumor registries, however 273 (32%) were returned due to incorrect addresses (i.e. patients no longer reside at the address recorded during their cancer diagnosis or treatment). Of those not returned due to incorrect address, 96 (17%) were completed and returned. Eligibility criteria included (a) AA (b) a previous diagnosis of breast cancer, (c) being at least 18 years old at study enrollment, (d) having completed treatment (except adjuvant hormone therapy) at least six months before study enrollment, and (e) receptivity to participating in a mailed survey. Survivors with missing data (n = 32) were ineligible. Ethical approval to conduct the study was established before enrolling survivors.
Measures
Demographics
Age, annual family income, education, and marital status were self-reported using a standardized questionnaire.
Medical information
Age of cancer diagnoses, type of cancer treatment (i.e. surgery, chemo, radiation, and hormone therapy), and cancer recurrence were self-reported using a standardized questionnaire.
Spiritual health locus of control
This scale was developed by Holt and colleagues to link spiritual beliefs to how health outcomes are controlled.26 The scale includes 13 statements categorized in 4 subscales: spiritual life/faith, God’s grace, active spirituality, and passive spirituality. Each item was measured in a 5-point Likert-type scale ranging from strongly disagree to strongly agree. The statements by domain are shown in Table 1. The scale was validated among a community-based sample of urban AA women.26 In this study, the Cronbach’s α coefficient of the overall scale was 0.82, indicating good internal consistency. To further examine the reliability of each of the four subscales, Cronbach’s α is reported for each subscale. For spiritual life/faith α = 0.77, God’s grace α = 0.81, active spirituality α = 0.72, and passive spirituality α = 0.51. Cronbach’s α ≥ 0.70 are generally acceptable, however when considering subscales with three to four items, α = 0.51 is satisfactory.31 For the purposes of identifying high-risk groups that might benefit from intervention and due to skewness of responses, we categorized SHLOC domains into tertiles (i.e. high, medium, and low levels).32
Table 1.
Spiritual health locus of control items.
| Domains | Statements |
|---|---|
| Spiritual life/faith | Through my faith in God, I can stay healthy If I lead a good spiritual life, I will stay healthy If I stay healthy, it’s because I am right with God |
| God’s grace | I rely on God to keep me in good health God works through doctors to heal us Prayer is the most important thing I do to stay healthy If I stay well, it is because of the grace of the good Lord |
| Active spirituality | Living the way the Lord says I’m supposed to live means I have to take care of myself Even though I trust God will take care of me, I still need to take care of myself God gives me the strength to take care of myself |
| Passive spirituality | It’s ok not to seek medical attention because I feel that God will heal me There is no point in taking care of myself when it’s all up to God anyway God and I share responsibility. |
Satisfaction with life
Life satisfaction was used as a measure of subjective well-being. The scale consists of 5-items, each measured in a 5-point Likert-type scale. Items are summed to create a total score ranging 5–25 that can be categorized into various levels of satisfaction (i.e. extremely satisfied, satisfied, neutral, dissatisfied, and extremely dissatisfied).9 In this study, the Cronbach’s α coefficient of the scale was 0.77, indicating good internal consistency. For our analyses, we categorized satisfaction with life into two levels: satisfied (slightly satisfied to extremely satisfied) or not satisfied (extremely dissatisfied to neutral). Similar approaches have been applied when characterizing life satisfaction in large samples,33 and provide guidance for categorizing BCS who may differ in their subjective outlook on their lives.
Analysis
Descriptive analyses were conducted to assess demographic and clinical characteristics and the distribution of the SHLOC and life satisfaction scales among participants. Five logistic models were used to examine the unadjusted relationships of the overall SHLOC scale and for each of the four SHLOC subscales in association with life satisfaction. Thus, our five models include the following exposure variables (1) overall SHLOC scale (2) spiritual life/faith (3) God’s grace (4) active spirituality (5) passive spirituality. We then approached our model building strategy with consideration of potential confounders using purposeful selection of variables proposed by Hosmer and Lemeshow:34 age, education, annual income, marital status, time since diagnosis, treatment (i.e. surgery, chemo, radiation, and hormone therapy), and cancer recurrence. Purposeful selection is an iterative process that begins with an unadjusted analysis of each potential confounder with the outcome variable. Any variable that has a significant p-value with cutoff point of α = 0.25 is selected as a candidate for the multivariate model. Then all the significant variables are entered into a multivariate model. One by one, variables that do not contribute to the model (if α > 0.05) are removed and the smaller model is compared to the full model using a partial likelihood ratio test to determine the most parsimonious model. If a change of coefficient in the main exposure is >20%, then the deleted variable is added back in. The process of removing, adding, and model refitting continues the most parsimonious model is determined. Lastly, we investigated a potential interaction by income in our final model. STATA 14.2 (College Station, TX) was used to perform data analyses. To assess goodness of fit of our final models, we performed likelihood ratio tests. We also reported area under the receiver operating characteristic curve (AUC) as an effect size indicator of our final models.
Results
Descriptive characteristics
A total of 118 women participated in the study. The average age of participants was 56 years (ranged 31–81 years). Almost half, 45%, indicated scores of being satisfied with life and there were overall high levels of SHLOC (average score 50 out of 65). Many (52%) had at least a college degree and 65% were at least five-year out from diagnosis (Table 2). Table 3 shows correlational relationships between SHLOC, life satisfaction, and covariates. Pearson correlations indicated significant correlations (p = 0.01) between life satisfaction and overall SHLOC as well as two subscales: spiritual life/faith and God’s grace.
Table 2.
Characteristics of African American breast cancer survivors (N= 118).
| Variables | % |
|---|---|
| Age (mean ± SD) | 56 ± 10.9 |
| Time since diagnosis | |
| ≤5 years | 35% |
| 5–10 years | 23% |
| >10 years | 42% |
| Cancer treatment | |
| Surgery | 91% |
| Chemo | 80% |
| Radiation | 68% |
| Hormone therapy | 25% |
| Cancer recurrence | |
| Yes | 24% |
| No | 76% |
| Marital status | |
| Single | 17% |
| Divorced | 35% |
| Married | 38% |
| Other | 10% |
| Annual income | |
| <25,000 | 12% |
| $25–35k | 11% |
| $35–50k | 20% |
| $50–75k | 23% |
| ≥$75k | 34% |
| Education | |
| High school | 6% |
| Associates degree | 13% |
| Some college, no degree | 29% |
| College degree or higher | 52% |
| Overall Spiritual Health Locus of Control Score (possible range 13–65) | 50.23 (7.00) |
| Active (possible range 3–15) | 13.91 (1.47) |
| Passive(possible range 3–15) | 7.84 (2.33) |
| Spiritual life/faith(possible range 3–15) | 11.81 (2.94) |
| God’s grace(possible range 4–20) | 16.67 (3.08) |
| Satisfaction with life | |
| Dissatisfied | 55% |
| Satisfied | 45% |
Table 3.
Pearson correlations of spiritual health locus of control, life satisfaction, and covariates.
| Life satisfaction | SHLOC overall | Spiritual life/faith | God’s grace | Active | Passive | |
|---|---|---|---|---|---|---|
| Age | 0.08 | −0.02 | −0.04 | −0.07 | −0.08 | 0.19 |
| Education | 0.11 | 0.10 | 0.03 | 0.19 | 0.12 | 0.00 |
| Income | 0.25* | −0.22* | −0.15 | −0.19 | −0.15 | −0.03 |
| Marital status | 0.04 | 0.10 | 0.13 | −0.01 | 0.04 | 0.15 |
| Time since diagnosis | 0.08 | −0.02 | 0.002 | −0.17 | 0.01 | 0.07 |
| Cancer treatment type | −0.03 | 0.01 | 0.07 | −0.12 | −0.03 | 0.04 |
| Cancer recurrence | −0.08 | 0.31* | 0.34* | 0.17 | 0.12 | 0.10 |
| Life satisfaction | 1 | 0.22* | 0.22* | 0.20* | 0.14 | 0.07 |
Note.
significant at p=0.01.
Unadjusted models
High overall SHLOC increased the odds (odds ratio [OR] = 2.79, 95% Confidence Interval [CI] = 1.17, 6.63) of higher levels of satisfaction with life compared to low level of SHLOC. Subscales of SHLOC were generally not significant, except for high levels of spiritual life/faith increasing the odds (OR = 3.14, 95% CI = 1.19, 8.39) of life satisfaction compared to low levels of spiritual life/faith. Unadjusted models are presented in Table 4.
Table 4.
Unadjusted models: spirituality in association with satisfaction with life.
| p Value | O.R. (95% CI) | Variable | Overall LR test |
|---|---|---|---|
| Overall SHLOC | 0.051 | ||
| Low | 1 | ||
| Medium | 1.58 (0.62, 4.03) | 0.34 | |
| High | 2.79 (1.17, 6.63) | 0.02 | |
| Spiritual life/faith | 0.044 | ||
| Low | 1 | ||
| Medium | 2.21 (0.93, 5.26) | 0.07 | |
| High | 3.14 (1.19, 8.39) | 0.02 | |
| God’s grace | 0.031 | ||
| Low | 1 | ||
| Medium | 0.40 (0.16, 1.00) | 0.05 | |
| High | 1.44 (0.59, 3.54) | 0.43 | |
| Active | 0.12 | ||
| Low | 1 | ||
| High | 1.78 (0.35, 1.03) | 0.125 | |
| Passive | 0.60 | ||
| Low | 1 | ||
| Medium | 1.67 (0.51, 5.49) | 0.40 | |
| High | 1.35 (0.60, 3.03) | 0.46 |
Note.
Overall, passive, spiritual life/faith, and God’s grace scales are divided by tertiles. Active spirituality was split by the median due to highly skewed data.
Adjusted models
The purposeful selection of variables process resulted in annual income as the only significant variable influencing the association between SHLOC and life satisfaction. The interaction between overall SHLOC and annual income was significant, therefore we present stratified results in Table 5. Likelihood ratio tests of our final models showed that overall SHLOC, spiritual life/faith, and God’s grace had good model fit (p < 0.003), but active and passive SHLOC did not (p > 0.10). For significant models (i.e. overall SHLOC, spiritual life/faith, and God’s grace), the AUC was between 0.70 and 0.75 which indicate a fair effect size34 (Table 5).
Table 5.
Adjusted models: effect of spiritual health locus of control on satisfaction with life by income level.
| High income | Low income | Fit statistics | ||||
|---|---|---|---|---|---|---|
| O.R. (95% CI) | p-value | O.R. (95% CI) | p-value | Overall LR test p-value | AUC | |
| Overall SHLOC | 1.55 (0.85, 2.80) | 0.15 | 3.42 (1.38, 8.52) | 0.0080 | <0.0020 | 0.703 |
| Spiritual life/faith | 1.75 (0.88, 3.45) | 0.11 | 2.82 (1.20, 6.63) | 0.018 | <0.0030 | 0.71 |
| God’s grace | 0.82 (0.60, 5.66) | 0.50 | 3.00 (1.21, 7.43) | 0.018 | <0.002 | 0.75 |
| Active | 2.02 (0.76, 5.33) | 0.16 | 3.09 (0.73, 13.03) | 0.13 | 0.11 | 0.67 |
| Passive | 1.11 (0.65, 1.90) | 0.69 | 1.20 (0.62, 2.35) | 0.59 | 0.43 | 0.65 |
Note.
Overall, passive, spiritual life/faith, and God’s grace scales are divided by tertiles. Active spirituality was split by the median due to highly skewed data.
The effect of SHLOC on life satisfaction differed by income level. Low income corresponded to the lowest quartile (≤$50,000/yr) and high income corresponded to the highest 75th percentile (≥$50,000/yr). Lower income survivors reporting higher levels of overall SHLOC were more than three times more likely (OR = 3.42; 95% CI = 1.38, 8.52) to have higher levels of life satisfaction, however overall SHLOC was not significantly associated with life satisfaction among higher income survivors (OR = 1.55, 95% CI = 0.85, 2.80). Similar trends were observed for the spiritual life/faith and God’s grace subscales. Lower income survivors reporting higher levels of spiritual life/faith were almost three times more likely (OR = 2.82; 95% CI = 1.20, 6.63) to have higher levels of life satisfaction; however this was not observed among higher income survivors (OR = 1.75, 95% CI = 0.88, 3.45). Lower income survivors reporting higher levels of God’s grace were three times more likely (OR = 3.99; 95% CI = 1.21, 7.43) to have higher levels of life satisfaction; however this was not observed among higher income survivors (OR = 0.82, 95% CI = 0.60, 5.66). Active and passive spirituality were not associated with life satisfaction and income was not a factor in these relationships (p > 0.10).
Discussion
The current cross-sectional study found that SHLOC was associated with increased odds of life satisfaction among lower income AA BCS. SHLOC was not associated with life satisfaction among higher income survivors. We found that spiritual life/faith and God’s grace beliefs were associated with better life satisfaction, however active versus passive locus of control beliefs did not distinguish life satisfaction. These findings suggest that SHLOC may be a relevant factor for life satisfaction exclusively among lower income BCS, which may help bolster subjective well-being among this disadvantaged group.
Our findings contribute to previous work that help to identify the impact that spiritual life/faith and God’s grace beliefs may have on subjective well-being. Some studies have indicated that faith beliefs mediate the relationship between religious functioning and subjective well-being in non-cancer populations. Similar to our spiritual life/faith and God’s grace domains, studies using the Spiritual Assessment Inventory identifies awareness of God to describe the intensity of one’s faith- how strongly a person feels the presence of a God in daily life.35 Individuals with greater awareness of God often have higher external as well as internal locus of control because they believe their relationship with God will protect and guide them and therefore are more optimistic and confident.12,17,25 This mixed translation of faith beliefs to both increased internal and external control may explain why internal vs external control was not significant in our sample of highly spiritual BCS. Aligning oneself with a higher power can create a perception of that one shares in the higher power’s external control, allowing for a greater sense of personal control, which helps them maintain higher levels of life satisfaction compared to those who are less spiritual.36 This may spare some individuals from the hopelessness and discouragement that often occurs with circumstances that seem uncontrollable, such as in the context of cancer survivorship and fear of cancer recurrence. Furthermore, in line with our findings that spiritual life/faith and God’s grace is associated with better life satisfaction among lower income AA BCS, Vahia et al.14 found that spirituality may promote resilience to stressors to a greater degree among women with lower income or education level.
In the present study, we did not find significant associations between active or passive locus of control domains and life satisfaction. Our sample had highly skewed responses towards high active SHLOC beliefs, with very few having low levels of active SHLOC beliefs, and the majority of this sample had mid-range levels of passive SHLOC beliefs which may explain our lack of associations with life satisfaction. It may also be possible that active and passive SHLOC beliefs are more important for influencing health behaviors than impacting life satisfaction. Passive SHLOC is characterized by the belief that God determines one’s health therefore minimizing personal responsibility to engage in health-promoting behaviors,37 while active SHLOC describes the belief that God empowers individuals to take care of their health. In a longitudinal study of AAs, active SHLOC was not related to changes in any physical or mental health outcomes.28 However, passive SHLOC was found to be associated with greater depressive symptoms but not with overall emotional functioning.28 It may be that passive and active SHLOC beliefs do not have a large impact on physical or emotional functioning that would translate to life satisfaction. Nevertheless, active and passive SHLOC beliefs are shown to be associated with health behaviors. In a study of AA women at high-risk for BC, passive control beliefs were associated with lower likelihood of following recommendations for clinical breast examinations and mammograms.29 In AA adults, active SHLOC has been associated with higher fruit consumption.27 Among AA women, active SHLOC has been associated with less alcohol use.37 Among AA adults, passive SHLOC has been associated with less vegetable intake, and higher alcohol use among men.28 Neither passive nor active SHLOC has been significantly associated with tobacco use or physical activity.28 Further studies such as these need to be conducted to better understand mechanisms of SHLOC affecting health behavior change in order to develop relevant interventions.
Our study should be interpreted with caution in light of its limitations. This study used cross-sectional data rather than longitudinal therefore we must consider the possibility of reverse causality. It is possible that lower income and worse life satisfaction leads AA BCS to become more spiritual and relinquish their sense of control over to God, or vice versa.38 However, the directionality of these relationships is supported by previous longitudinal work showing that spirituality and locus of control do impact psychological functioning.17 Our participants were self-selected, the majority were highly-educated (most having some college or beyond), and our sample size was modest which limits our generalizability to other AA BCS. The analyses were also exploratory and power analyses were not computed prior to our data collection. Despite these limitations, there are several strengths of our study. We used validated measures for spirituality (i.e. SHLOC scale26) and life satisfaction (i.e. satisfaction with life scale9). These measures can be used in future studies to attain consistency across results and confirm findings from our study and others. Further, our intent to illuminate possible associations between SHLOC and life satisfaction adds valuable perspective that needs to be confirmed in further studies.
Implications
Spiritual health locus of control may be one of the underlying mechanisms linking spirituality to life satisfaction in low income AA BCS.25,28,38 Future research is needed to confirm our findings that SHLOC is positively associated with life satisfaction in low-income AA BCS. SHLOC is one factor that can be potentially targeted by intervention with the goal of facilitating empowerment and increasing life satisfaction.39 Other factors may also play a role in the relationship between spirituality and subjective well-being such as social support, self-esteem and self-efficacy, religious coping styles, stressful life events, or health status. It is critical that researchers continue to investigate the mechanisms through which spirituality may have on health outcomes for BCS. Regarding SHLOC, work is warranted to investigate the impact that SHLOC may have on life satisfaction and health outcomes, and ways that SHLOC can be targeted with interventions. Additionally, relevant supportive interventions will need to be developed and tested specifically tailored to low-income minority groups. In other populations, such as women with postpartum depression, interventions have shown to modify internal and external loci of control beliefs and translate into improving psychological health.40 Studies such as these have not yet been applied to BCS. Park et al.41 recommend collaboration between the behavioral medicine community and spiritual leaders to develop spiritually-sensitive interventions to improve patients’ well-being. Work in this field can help to minimize racial disparities in health outcomes and well-being among BCS.
Spiritual care is not well-integrated into the clinical care of cancer treatment and survivorship, despite evidence of the importance that spirituality plays for AA survivors.42 The National Comprehensive Cancer Network recommends that patients who report spiritual concerns be referred to chaplaincy services for spiritual assessment and support.43 Although healthcare providers are not spiritual leaders, they should be aware of cultural influences to care (e.g. spirituality) as they play important roles in patient lives and may affect their well-being during cancer diagnosis and treatment.27,42 Resources are available to help clinicians sensitively assess spiritual concerns among patients and appropriate inquiries are well-received by patients.44 One example is given by Nolan et al.’s44 five-step approach to managing spirituality: (1) respect of patient beliefs, (2) acknowledge concerns, (3) maintain integrity, (4) empower survivors, and (5) mobilize resources. Thus, a first practical step for clinicians to incorporate a patient’s spirituality into medical care is for providers to implement and document a comprehensive cultural assessment (which includes a spiritual assessment) as part of medical encounters.44 Then, support resources such as chaplains or faith-based counselors can provide follow-up care with special emphasis on components of loci of control that have shown to be modifiable and beneficial for better subjective well-being. Overlooking patient spirituality is a missed opportunity for providing support to AAs or other low-income groups who may lean on spirituality as resource for coping after cancer diagnoses.
Funding
This research was supported in part by National Cancer Institute grants K01CA158000.
Footnotes
Disclosure statement
Both authors declare no conflicts of interest.
Financial disclosures
The authors have no financial disclosures.
References
- 1.Noone A, Howlader N, Krapcho M. SEER Cancer Statistics Review. Bethesda, MD: National Cancer Institute; 1975–2015. [Google Scholar]
- 2.Russell KM, Von Ah DM, Giesler RB, Storniolo AM, Haase JE. Quality of life of African American breast cancer survivors: how much do we know? Cancer Nurs. 2008;31(6):E36–45. doi: 10.1097/01.NCC.0000339254.68324.d7 [DOI] [PubMed] [Google Scholar]
- 3.American Cancer Society. Cancer Facts and Figures for African Americans 2016–2018. Atlanta, GA: American Cancer Society; 2016. [Google Scholar]
- 4.Burgess C, Cornelius V, Love S, Graham J, Richards M, Ramirez A. Depression and anxiety in women with early breast cancer: five year observational cohort study. Br Med J. 2005;330(7493):702. doi: 10.1136/bmj.38343.670868.D3 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Witek-Janusek L, Albuquerque K, Chroniak KR, Chroniak C, Durazo-Arvizu R, Mathews HL. Effect of mindfulness based stress reduction on immune function, quality of life and coping in women newly diagnosed with early stage breast cancer. Brain Behav Immun. 2008;22(6):969–981. doi: 10.1016/j.bbi.2008.01.012 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Soler-Vila H, Kasl SV, Jones BA. Prognostic significance of psychosocial factors in African-American and white breast cancer patients: a population-based study. Cancer 2003;98(6):1299–1308. doi: 10.1002/cncr.11670 [DOI] [PubMed] [Google Scholar]
- 7.Janz NK, Mujahid MS, Hawley ST, et al. Racial/ethnic differences in quality of life after diagnosis of breast cancer. J Cancer Surviv. 2009;3(4):212–222. doi: 10.1007/s11764-009-0097-y [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Diener E, Emmons RA. The independence of positive and negative affect. J Pers Soc Psychol. 1984;47:1105–1117. doi: 10.1037/0022-3514.47.5.1105 [DOI] [PubMed] [Google Scholar]
- 9.Diener E, Emmons RA, Larsen RJ, Griffin S. The satisfaction with life scale. J Pers Assess. 1985;49(1):71–75. doi: 10.1207/s15327752jpa4901_13 [DOI] [PubMed] [Google Scholar]
- 10.Pavot W, Diener E. The satisfaction with life scale and the emerging construct of life satisfaction. J Posit Psychol. 2008;3(2):137–152. doi: 10.1080/17439760701756946 [DOI] [Google Scholar]
- 11.Hamilton JB, Galbraith KV, Best NC, Worthy VC, Moore L. African-American cancer survivors’ use of religious beliefs to positively influence the utilization of cancer care. J Relig Health. 2015;54(5):1856–1869. doi: 10.1007/s10943-014-9948-6 [DOI] [PubMed] [Google Scholar]
- 12.Koenig HG. Religion, spirituality, and health: the research and clinical implications. ISRN Psychiatry. 2012;2012:278730. doi: 10.5402/2012/278730 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Molina Y, Yi JC, Martinez-Gutierrez J, Reding KW, Yi-Frazier JP, Rosenberg AR. Resilience among patients across the cancer continuum: diverse perspectives. Clin J Oncol Nurs. 2014;18(1):93–101. doi: 10.1188/14.CJON.93-101 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Vahia IV, Depp CA, Palmer BW, et al. Correlates of spirituality in older women. Aging Ment Heal. 2011;15(1):97–102. doi: 10.1080/13607863.2010.501069 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Mitchell J, Lannin DR, Mathews HF, Swanson MS. Religious beliefs and breast cancer screening. J Women’s Heal. 2002;11(10):907–915. doi: 10.1089/154099902762203740 [DOI] [PubMed] [Google Scholar]
- 16.Behringer B, Krishnan K. Understanding the role of religion in cancer care in Appalachia. South Med J. 2011;104(4):295–296. doi: 10.1097/SMJ.0b013e3182084108 [DOI] [PubMed] [Google Scholar]
- 17.Schreiber JA, Brockopp DY. Twenty-five years later–what do we know about religion/spirituality and psychological well-being among breast cancer survivors? A systematic review. J Cancer Surviv. 2012;6(1):82–94. doi: 10.1007/s11764-011-0193-7 [DOI] [PubMed] [Google Scholar]
- 18.Hill PH. Measures of Religiosity. Birmingham, AL: Religious Educational Press; 1999. [Google Scholar]
- 19.Rotter JB. Social Learning and Clinical Psychology. New York: Prentice-Hall; 1954. [Google Scholar]
- 20.Rotter JB. Generalized expectancies for internal versus external control of reinforcement. Psychol Monogr. 1966;80(1):1. doi: 10.1037/h0092976 [DOI] [PubMed] [Google Scholar]
- 21.Wallston BS, Wallston KA, Kaplan GD, Maides SA. Development and validation of the health locus of control (HLC) scale. J Consult Clin Psychol. 1976;44(4):580–585. doi: 10.1037/0022-006X.44.4.580 [DOI] [PubMed] [Google Scholar]
- 22.Wallston KA, Wallston BS, DeVellis R. Development of the multidimensional health locus of control (MHLC) scales. Heal Educ Behav. 1978;6(2):160–170. doi: 10.1177/109019817800600107 [DOI] [PubMed] [Google Scholar]
- 23.Brown AJ, Thaker PH, Sun CC, et al. Nothing left to chance? The impact of locus of control on physical and mental quality of life in terminal cancer patients. Support Care Cancer. 2017;25(6):1985–1991. doi: 10.1007/s00520-017-3605-z [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Aarts JWF, Deckx L, Van Abbema DL, Tjan-Heijnen VCG, Van Den Akker M, Buntinx F. The relation between depression, coping and health locus of control: differences between older and younger patients, with and without cancer. Psychooncology 2015;24(8):950–957. doi: 10.1002/pon.3748 [DOI] [PubMed] [Google Scholar]
- 25.Jang SJ, Johnson BR. Explaining religious effects on distress among African Americans. J Scientific Study of Religion. 2004;43(2):239–260. doi: 10.1111/j.1468-5906.2004.00230.x [DOI] [Google Scholar]
- 26.Holt CL, Clark EM, Kreuter MW, Rubio DM. Spiritual health locus of control and breast cancer beliefs among urban African American women. J Health Psychol. 2003; 8(3):383–396. doi: 10.1177/13591053030083008 [DOI] [PubMed] [Google Scholar]
- 27.Debnam KJ, Holt CL, Clark EM, et al. Spiritual health locus of control and health behaviors in African Americans. Am J Health Behav 2012;36(3):360–372. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Clark EM, Williams BR, Huang J, Roth DL, Holt CL. A longitudinal study of religiosity, spiritual health locus of control, and health behaviors in a national sample of African Americans. J Relig Health. 2018;57(6):2258–2278. doi: 10.1007/s10943-0170548-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Kinney AY, Emery G, Dudley WN, Croyle RT. Screening behaviors among African American women at high risk for breast cancer: do beliefs about god matter? Oncol Nurs Forum. 2002;29(5):835–843. doi: 10.1188/02.ONF.835-843 [DOI] [PubMed] [Google Scholar]
- 30.Culpin I, Stapinski L, Miles ÖB, Araya R, Joinson C. Exposure to socioeconomic€ adversity in early life and risk of depression at 18 years: the mediating role of locus of control. J Affect Disord. 2015;183:269–278. doi: 10.1016/j.jad.2015.05.030 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Nunnally J, Bernstein I. Psychometric Theory, 3rd ed. New York, NY: McGraw-Hill, 1994. [Google Scholar]
- 32.Farrington DP, Loeber R. Some benefits of dichotomization in psychiatric and criminological research. Criminal Behav Ment Health. 2000;10(2):100–122. doi: 10.1002/cbm.349 [DOI] [Google Scholar]
- 33.Rajani NB, Skianis V, Filippidis FT. Association of environmental and sociodemographic factors with life satisfaction in 27 European countries. BMC Public Health. 2019;19(1):534. doi: 10.1186/s12889-019-6886-y [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Hosmer DW, Lemeshow S. Applied Logistic Regression New York, NY: Wiley; 2000. [Google Scholar]
- 35.Hall TW, Edwards KJ. The spiritual assessment inventory: a theistic model and measure for assessing spiritual development. J Sci Study Relig. 2002;41(2):341–357. doi: 10.1111/1468-5906.00121 [DOI] [Google Scholar]
- 36.Hood RW, Hill PS. The Psychology of Religion: An Empirical Approach. 4th ed. New York, NY: Guilford Press; 2009. [Google Scholar]
- 37.Holt CL, Roth DL, Huang J, Clark EM. Gender differences in the roles of religion and locus of control on alcohol use and smoking among African Americans. J Stud Alcohol Drugs. 2015;76(3):482–492. doi: 10.15288/jsad.2015.76.482 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Schieman S, Pudrovska T, Pearlin LI, Ellison CG. The sense of divine control and psychological distress: variations across race and socioeconomic status. J Sci. Study Religion 2006;45(4):529–549. doi: 10.1111/j.1468-5906.2006.00326.x [DOI] [Google Scholar]
- 39.Brown AJ, Sun CC, Urbauer DL, Bodurka DC, Thaker PH, Ramondetta LM. Feeling powerless: Locus of control as a potential target for supportive care interventions to increase quality of life and decrease anxiety in ovarian cancer patients. Gynecol Oncol. 2015;138(2):388–393. doi: 10.1016/j.ygyno.2015.05.005 [DOI] [PubMed] [Google Scholar]
- 40.Moshki M, Baloochi Beydokhti T, Cheravi K. The effect of educational intervention on prevention of postpartum depression: an application of health locus of control. J Clin Nurs. 2014;23(15–16):2256–2263. doi: 10.1111/jocn.12505 [DOI] [PubMed] [Google Scholar]
- 41.Park CL, Masters KS, Salsman JM, et al. Advancing our understanding of religion and spirituality in the context of behavioral medicine. J Behav Med. 2017;40(1): 39–51. doi: 10.1007/s10865-016-9755-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Sheppard VB, Walker R, Phillips W, et al. Spirituality in African-American breast cancer patients: implications for clinical and psychosocial care. J Relig Health. 2018; 57(5):1918–1930. doi: 10.1007/s10943-018-0611-5 [DOI] [PubMed] [Google Scholar]
- 43.National Comprehensive Cancer Network. NCCN clinical guidelines in oncology: Distress management version 2. https://www.nccn.org/professionals/physician_gls/pdf/distress.pdf. Published 2018.
- 44.Nolan TS, Browning K, Vo JB, Meadows RPR. Managing spirituality within distress throughout the cancer continuum. J Nurs Pract Appl Rev Res. 2019. [Google Scholar]
