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. Author manuscript; available in PMC: 2022 Apr 1.
Published in final edited form as: J Behav Med. 2020 Nov 1;44(2):253–259. doi: 10.1007/s10865-020-00192-9

Worry and rumination in breast cancer patients: Perseveration worsens self-rated health

Megan E Renna 1,2, M Rosie Shrout 2, Annelise A Madison 2,3, Maryam Lustberg 1, Stephen P Povoski 1,4, Doreen M Agnese 1,4, Raquel E Reinbolt 1, Robert Wesolowski 1, Nicole O Williams 1, Bhuvaneswari Ramaswamy 1, Sagar D Sardesai 1, Anne M Noonan 1, Jeffrey B VanDeusen 1, William B Malarkey 2,5, Janice K Kiecolt-Glaser 2,6
PMCID: PMC8272958  NIHMSID: NIHMS1643023  PMID: 33135103

Abstract

Purpose:

A number of studies have shown that self-rated health reliably predicts mortality. This study assessed the impact of perseveration on self-rated health, physical functioning, and physical symptoms (pain, fatigue, breast cancer symptoms) among breast cancer patients. We hypothesized that cancer-related distress would serve as an intervening variable between both worry and rumination and self-rated health, physical functioning, and physical symptoms.

Methods:

Women (N=124) who were approximately seven weeks post-surgery but pre adjuvant treatment completed the Impact of Events Scale, the Penn State Worry Questionnaire, and the Rumination Scale. They also rated their pain, fatigue, physical functioning, and self-rated health using the RAND-36 and breast cancer symptoms with the Breast Cancer Prevention Trial Symptom Checklist (BCPT). Covariates included body mass index, age, cancer stage, menopause status, and physical comorbidities.

Results:

Worry was associated with higher cancer-related distress, which in turn predicted greater pain and breast cancer symptoms, poorer physical functioning, and lower self-rated health. Rumination also predicted greater cancer-related distress, which ultimately contributed to greater pain along with poorer physical functioning and self-rated health. Models with fatigue as an outcome were not significant.

Conclusions:

These findings suggest that perseveration can heighten cancer-related distress and subsequent perceptions of physical symptoms and health among breast cancer patients prior to adjuvant treatment. Perseveration early in the cancer trajectory can adversely increase the impact of a cancer diagnosis and treatment on functioning and quality of life.

Introduction

Poor self-rated health, a risk factor for cardiovascular disease, diabetes, lung disease, arthritis, and stroke, consistently predicts mortality (Latham & Peek, 2013; Schnittker & Bacak, 2014). People who rate their health as poor have a two-fold increase in mortality compared to those who rate it as excellent (DeSalvo, Bloser, Reynolds, He, & Muntner, 2006). Further, individuals reporting poorer self-rated health are less likely to engage in preventative health behaviors, thus increasing risk for morbidity and mortality (Idler & Benyamini, 1997). These effects hold after accounting for objective health status, behavioral risk factors, and sociodemographic characteristics.

Breast cancer patients experience many troubling symptoms during and after cancer treatment. Nearly 30% of breast cancer survivors suffer from chronic pain five years after treatment (Sheridan et al., 2012). Advanced cancer patients also often endure pain and fatigue simultaneously (Laird et al., 2011). Fatigue may also persist for years after cancer treatment (Bower et al., 2006) and can worsen self-reported physical symptoms above and beyond oncological treatment (Hagen et al., 2016). These unpleasant physical symptoms increase depression and/or anxiety (Bower et al., 2000; Vahdaninia, Omidvari, & Montazeri, 2010) and thus reduce participation in everyday pleasant activities and negatively impact quality of life (Curt et al., 2000).

Alongside these physical symptoms and increased distress, cancer treatment and survivorship present a number of uncertainties: fears of the disease progression, recurrence, side effects, changes in physical functioning, and early mortality. Each of these uncertainties can contribute to anxiety and depression. A recent meta-analysis found higher rates of anxiety and depression among breast cancer survivors compared to women with no cancer history (Carreira et al., 2018).Worry (thinking about things that may or may not happen in the future) and rumination (thinking back over past losses and failures) may boost cancer-related distress (Borkovec, Robinson, Pruzinsky, & DePree, 1983; Nolen-Hoeksema, 2000). These processes, collectively termed perseveration, also contribute to poorer self-rated health in physically healthy adults (Verkuil, Brosschot, Gebhardt, & Thayer, 2010). Consistent with the perseverative cognition hypothesis (PCH), worry and rumination heighten emotional intensity and create distress by prolonging both relatively innocuous and stressful situations. Further, this heightened emotional intensity resulting from perseveration prolongs physiological reactivity to stress. Perseveration also provokes anxiety and depression, respectively, among both healthy individuals and cancer patients (Brosschot, Gerin, & Thayer, 2006; Deimling, Bowman, Sterns, Wagner, & Kahana, 2006). Consequently, perseveration serves as an important cognitive risk factor for mental health difficulties throughout diagnosis and treatment.

The Self-Regulatory Model of Illness Behavior highlights the importance of illness perceptions and emotional responses when managing a health threat such as cancer (Leventhal, Meyer, & Nerenz, 1980). Within this model, poor self-regulation, including heightened perseveration, leads to increased distress and maladaptive coping behaviors. The heightened cancer-related distress among breast cancer patients who are more anxious and have more health problems may be augmented by worry and rumination (Bleiker, Pouwer, Van Der Ploeg, Leer, & Ader, 2000). A history of anxiety or depression increases cancer-related distress (O’Connor, Christensen, Jensen, Møller, & Zachariae, 2011). This distress can remain high up to two years following treatment (Bleiker et al., 2000). Cancer-related distress thus influences breast cancer patients’ perceptions of both psychological and physical symptoms (Jim, Andrykowski, Munster, & Jacobsen, 2007).

This study drew upon the PCH and the Self-Regulatory Model of Illness Behavior, which emphasize how self-regulatory failures such as worry and rumination lead to heightened distress and physical dysregulation. The primary goal was address the impact of perseveration on cancer related-distress, physical symptoms (pain, fatigue, and breast cancer symptoms), physical functioning, and self-rated health among breast cancer patients. We assessed cancer-related distress and its links to these perseverative processes to physical symptoms, physical functioning, and self-rated health. The hypothesized model (Figure 1) shows how greater worry and rumination could heighten cancer-related distress and contribute to low physical functioning and self-rated health along with high pain, fatigue, and breast cancer symptoms. We also expected that worry and rumination would indirectly relate to these outcomes through cancer-related distress; specifically, worry and rumination would be associated with higher cancer-related distress, which in turn would promote poorer health perceptions.

Figure 1.

Figure 1.

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The proposed direct and indirect pathways of worry and rumination linking to self-rated health and physical symptoms among breast cancer patients. Perseveration was measured via worry and rumination. Self-rated symptom and health measures include the following outcomes: pain, fatigue, breast cancer symptoms, physical functioning, and self-rated health.

Methods

Participants

Women (N=124) were recruited as part of a larger ongoing parent study examining cardiovascular function among breast cancer patients. Breast cancer patients were stage I-IIIA, 18–80 years old, and were 52.07 days post-surgery (SD = 24.83) but pre-adjuvant treatment. Exclusion criteria included a prior history of any malignancy except for basal or squamous cell skin cancers, recent strokes, diabetes mellitus, current heart disease or uncontrolled hypertension, peripheral vascular disease, liver disease, autoimmune and/or inflammatory diseases including rheumatoid arthritis and ulcerative colitis, alcohol or drug abuse, or other medical conditions that would limit participation in the study (e.g., implantable defibrillator, pacemaker or life-threating heart conditions such as congestive heart failure, pulmonary disease, orthopedic problems, major psychiatric illness, cognitive dysfunction, or an acute medical problem).

Measures

Predictor Variables

The 16-item Penn State Worry Questionnaire (PSWQ) (Meyer, Miller, Metzger, Borkovec, & therapy, 1990) assesses pathological worry. The respondent rates items such as “I worry all the time” on five-point scales with 1 = not at all typical of me and 5 = very typical of me. The Rumination Scale (Armey et al., 2009) is a 10-item measure of conscious, repetitive, and aversive thoughts (e.g. when I have a problem, I tend to think of it a lot of the time”).

Intervening Variables

The 22-item Impact of Events Scale (IES) (Horowitz, Wilner, & Alvarez, 1979) asked women to respond based on their recent cancer diagnosis. The instructions were modified to ask the women to respond based on their recent cancer diagnosis. The current study utilized the IES total score as a global measure of cancer-related distress.

Outcome Variables

The revised Breast Cancer Prevention Trial symptom checklist (BCPT) (Stanton, Bernaards, & Ganz, 2005) provided information about symptoms related to the breast cancer diagnosis and treatment. This study used the BCPT mean score. The RAND-36 (Hays & Morales, 2001) provides a non-disease specific measure of functioning and well-being. It indexes eight health concepts, five of which were used for the current study as they directly related to physical wellbeing: physical functioning, bodily pain, role limitations due to physical health problems, energy/fatigue, and general health perceptions.

Covariates

All analyses controlled for age, cancer stage, menopause status, body mass index (BMI), and medical comorbidities. The Charlson comorbidity index, originally developed with breast cancer patients (Charlson, Szatrowski, Peterson, & Gold, 1994), assessed physical comorbidities. The Charlson assigns weights to 19 medical conditions with greater scores equal to a greater comorbidity burden.

Procedures

The Ohio State University biomedical institutional review board approved this study (#2014C0012). Every participant provided written informed consent. Participants completed questionnaires as part of a full-day study visit at the Ohio State Clinical Research Center where they completed several other tasks relevant to the parent study (ate a standardized meal, had their blood taken to assess meal responses, and underwent metabolic measurements).

Data Analysis Plan

All analyses were conducted using SPSS version 26. Bivariate correlations tested associations between the predictor and dependent variables with the intervening variable. The hypotheses illustrated in Figure 1 were tested using Hayes’ SPSS PROCESS macro (Hayes, 2012). We first assessed whether worry and rumination were associated with cancer-related distress as well as pain, fatigue, physical functioning, general health, and breast cancer symptoms. Then we examined whether worry and rumination were indirectly linked to these same variables through cancer-related distress. Indirect effects were tested with 95% bias-corrected confidence intervals and 10,000 bootstrapped samples. Separate models were run with worry and rumination as predictors with each outcome. Body mass index, physical comorbidities, cancer stage, menopause status, and age were included as covariates in all models.

Results

Participant Demographics and Covariates

Initially, 437 women were approached for the current study and chose not to participate for various reasons. Of the 212 women who expressed initial interest in participating, 150 completed the informed consent process; 26 women were excluded from our analyses due to missing data. The women’s mean age was 52.45 years (SD = 10.7), and they were predominantly white (86.0%) and married (70.0%). Most participants were highly educated (60.0% had at least a college education) and were working part- or full-time (76.0%).

Women had a mean BMI of 28.68 (SD = 5.8) and a low number of physical comorbidities (M = .20, SD = .5). A total of 49.3% of participants were diagnosed with Stage I breast cancer while 47.3% were diagnosed with Stage II and 3.3% with Stage IIIA

Worry, Cancer-Related Distress, and Health

We first tested the model with worry as the predictor. BMI had a direct effect on fatigue (b = .11, SE = .18, p = .02) and self-rated health (b = −.81, SE = .22, p < .001) while no other covariates had a direct effect on cancer-related distress or the outcome variables. As expected, worry was associated with greater cancer-related distress (b = .36, SE = .08, p < .001) and higher fatigue (b = −.34, SE = .15, p = .02). Worry was not directly related to pain (b = −.14, SE = .17, p = .43), self-rated health (b = −.18, SE = .10, p < .001), physical functioning (b = .14, SE = .11, p = .24), or breast cancer symptoms (b = .004, SE = .003, p = .23).

When cancer-related distress was added to the models, worry was no longer significant, and only cancer-related distress was associated with pain (b = −.61, SE = .18, p = .001), physical function (b = −.29, SE = .13, p = .02), breast cancer symptoms (b = .01, SE = .00, p = .02), and self-rated health (b = −.25, SE = .11, p = .02). Cancer-related distress was not associated with fatigue (b = −.07, SE = .16, p = .66). Worry had indirect effects on pain, breast cancer symptoms, physical functioning, and self-rated health (see Table 2 for coefficients). Thus, the more breast cancer patients worried, the greater their cancer-related distress, which in turn contributed to greater pain and breast cancer symptoms, poorer physical functioning and poorer self-rated health.

Table 2.

Indirect effects

Indirect effects
b SE 95% CI
Worry (X1)
 Cancer Distress (M) - - -
 Pain (Y1) −.22 .08 −.41, −.08
 Fatigue (Y2) −.03 .06 −.16, .09
 Physical Functioning (Y3) −.10 .06 −.22, −.002
 General Health (Y4) −.09 .05 −.19, −.01
 BC Symptoms (Y5) .00 .00 .00, .01
Rumination (X2)
 Cancer Distress (M) - - -
 Pain (Y1) −.82 .30 −1.50, −.32
 Fatigue (Y2) −.05 .22 −.51, .37
 Physical Functioning (Y3) −.36 .22 −.843, −.001
 General Health (Y4) −.32 .18 −.77, −.05
 BC Symptoms (Y5) .01 .00 .001, .019
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Note. b = beta coefficient value, SE = standard error, CI = confidence interval, BC Symptoms = breast cancer symptoms.

Rumination, Cancer-Related Distress, and Health

We tested rumination as a predictor in separate models. BMI had a direct effect on fatigue (b = −.65, SE = .31, p = .04) and self-rated health (b = −.76, SE = .22, p < .001) while no other covariates had a direct effect on cancer-related distress or the outcome variables. As expected, rumination was associated with greater cancer-related distress (b = 1.24, SE = .25, p < .001), as well as higher fatigue (b = −1.29, SE = .49, p < .01) and breast cancer symptoms (b = .02, SE = .01, p = .05). Rumination was not directly related to self-rated health (b = −.60, SE = .34, p = .08), physical functioning (b = .35, SE = .38, p = .37), or pain (b = −.14, SE = .57, p = .80).

When cancer-related distress was added to the models, rumination was not significant, and only cancer-related distress was related to pain (b = −.66, SE = .19, p < .001), self-rated health (b = −.26, SE = .11, p = .02), and physical function (b = −.29, SE = .13, p = .03). Similar to the effects of worry, rumination also had indirect effects on pain, physical functioning, and self-rated health (see Table 2 for coefficients). Thus, the more women ruminated, the greater their cancer-related distress, which in turn contributed to worse pain, poorer physical functioning and poorer self-rated health. The direct effect of cancer-related distress on breast cancer symptoms was marginally significant (b = .01, SE = .00, p = .06). Cancer-related distress was not associated with fatigue (b = −.04, SE = .16, p = .75).

Alternative Models

It is plausible that cancer-related distress influences worry and rumination, resulting in increased physical symptoms and poorer self-rated health. We therefore tested alternative models using cancer-related distress as the predictor variable and worry or rumination as intervening variables. When cancer-related distress served as the predictor, worry had indirect effects on fatigue (b = −.15, SE = .07, 95% CI = −.30, −.03). In contrast, there were no indirect effects of worry on pain (b = −.09, SE = .08, 95% CI = −.25, −.06), self-rated health (b = −.07, SE = .05, 95% CI = −.16, .02), physical function (b = .06, SE = .05, 95% CI = −.04, .17), or breast cancer symptoms (b = −.002, SE = .001, 95% CI = −.009, .004). Rumination had indirect effects on breast cancer symptoms (b = .003, SE = .002, 95% CI = .001, .006) and fatigue (b = −.18, SE = .08, 95% CI = −.35, −.04). There were no indirect effects of rumination on pain (b = −.06, SE = .08, 95% CI = −.23, .11), self-rated health (b = −.05, SE = .04, 95% CI = −.13, .05), or physical functioning (b = −.05, SE = .06, 95% CI = −.05, .17).

Discussion

Findings from this study suggest that perseveration plays an important role in heightening cancer-related distress and subsequent perceptions of physical health among breast cancer patients. The breast cancer patients in this study had undergone surgery but had not yet begun adjuvant treatment (e.g., radiation, chemotherapy, or immune therapy). This period is particularly important as psychological health prior to adjuvant treatment can set the stage for future psychological and physical distress throughout treatment and survivorship (Gil, Costa, Hilker, & Benito, 2012; Iwamitsu, Shimoda, Abe, & Okawa, 2005; Jim et al., 2007; Oh & Cho, 2020). Even after controlling for important covariates including cancer stage, there was a direct link between worry and rumination and cancer-related distress, pain, fatigue, physical functioning, and self-rated health, indicating that perseveration primes the focus on physical symptoms and health. Consistent with the perseverative cognition hypothesis, processes such as worry and rumination can prolong emotional and physical stress responses (Brosschot et al., 2006).

Perseveration and its ties to cancer-related distress influenced patients’ physical functioning, self-rated health, and physical symptoms. These findings are consistent with the Self-Regulatory Model of Illness Behavior, where poor regulation, characterized in this study as high rates of perseveration, increase distress. Anxiety and depression can provoke worry and rumination, respectively (Brosschot et al., 2006) and greater cancer-related distress heightens depression and anxiety before and during diagnosis and treatment (Siglen, Bjorvatn, Engebretsen, Berglund, & Natvig, 2007). Cancer-related distress thus serves as a downstream consequence of perseverative processes and their associated mental health correlates. When coupled with cancer-related distress, the burden of worry and rumination can promote poor emotional and physical health.

These data have several important implications. The early detection and treatment advances in breast cancer have increased survival time (Kaplan, Malmgren, Atwood, & Calip, 2015). As a consequence, the quality of life and mental and physical health adjustments of breast cancer survivors is an important consideration (Alfano & Rowland, 2006). By identifying those women who have heightened cancer-related distress, clinicians may be able to better intervene on these symptoms and subsequently reduce both the psychological and physical burden associated with cancer treatment and survivorship.

This study has several notable strengths. This sample included breast cancer patients who had undergone surgery but not begun adjuvant treatment. The assessment of women at this stage in cancer treatment provides novel insights into their psychological and physical health that can predict functioning throughout treatment and survivorship. These findings extend existing self-rated health research by identifying cancer-related distress as an intervening variable linking perseveration to self-rated health. The links among perseveration, cancer-related distress, physical functioning and pain among breast cancer patients expand our understanding of the importance of assessing multiple domains of physical health. Further, given previous research linking perseveration to physical functioning (Ottaviani et al., 2016), assessing how perseveration may influence self-rated health and physical symptoms among breast cancer patients provides information about the processes that contribute to problematic psychological and physical functioning. However, the cross-sectional nature of these data limits causal claims regarding the impact of perseveration and cancer-related distress on self-rated health and physical symptoms.

Early in the cancer trajectory, perseveration can prime psychological distress, which in turn can exacerbate physical symptoms during treatment and survivorship. Future work should continue to explore ways to assess for and intervene on worry and rumination among breast cancer patients with the goal of lessening the psychological and physical burden of cancer diagnosis and treatment.

Table 1.

Intercorrelations, means, and standard deviations for study variables

1 2 3 4 5 6 7 8
1. Worry -
2. Rumination .65** -
3. Cancer Distress .37** .38** -
4. Pain −.19* −.17* −.31** -
5. Fatigue −.27** −.32** −.15 .45** -
6. Physical Functioning −.001 −.01 −.19* .44** .29** -
7. General Health −.19* −.20* −.30** .31** .51** .05 -
8. BC Symptoms .17* .28** .24** −.43** −.35** −.26** −.30** -
M 44.05 20.93 19.13 60.91 50.71 82.64 70.07 .83
SD 13.39 4.21 12.27 24.14 19.87 15.50 15.05 .44
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Note.

*

p < .05,

**

p < .01,

BC = breast cancer symptoms, M = mean, SD = standard deviation.

Funding:

This study was funded by NIH grant number R01CA186720 which was awarded to Dr. Kiecolt-Glaser. Dr. Renna is also supported by T32CA229114-01.

Footnotes

Publisher's Disclaimer: This Author Accepted Manuscript is a PDF file of an unedited peer-reviewed manuscript that has been accepted for publication but has not been copyedited or corrected. The official version of record that is published in the journal is kept up to date and so may therefore differ from this version.

Conflict of Interest: The authors declare that they have no conflict of interest.

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