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. Author manuscript; available in PMC: 2013 Mar 1.
Published in final edited form as: Eur J Cancer. 2012 Mar;48(5):728–736. doi: 10.1016/j.ejca.2011.06.022

Child Maltreatment and Breast Cancer Survivors: Social Support Makes a Difference for Quality of Life, Fatigue, and Cancer Stress

Christopher P Fagundes a,*, Monica E Lindgren a,b, Charles L Shapiro c, Janice K Kiecolt-Glaser a,e,f
PMCID: PMC3202655  NIHMSID: NIHMS305412  PMID: 21752636

Abstract

Purpose

To identify how child maltreatment is associated with quality of life (QOL) among breast cancer survivors.

Patients and Methods

One hundred and thirty two women who had completed treatment for stage 0-IIIA breast cancer within the past two years (except for tamoxifen/aromatase inhibitors) and were at least two months post surgery, radiation, or chemotherapy completed questionnaires including the Childhood Trauma Questionnaire, the Impact of Events Scale, the Multidimensional Fatigue Symptom Inventory-Short Form (MFSI-SF), and the Fact-B breast cancer quality of life questionnaire.

Results

Women who were abused or neglected as children reported more cancer-related psychological distress, more fatigue, and poorer physical, emotional, functional, and breast cancer specific well-being after treatment. These relations were partially explained by the fact that breast cancer survivors reported receiving less support as adults.

Conclusion

The findings suggest that child maltreatment is an important predictor of QOL among breast cancer survivors. One reason why this association exists is because those who are maltreated as children report less support as adults. A better understanding of how child maltreatment contributes to breast cancer survivor QOL will help in tailoring and therefore enhancing the efficacy of interventions aimed at improving QOL.


Being diagnosed and treated for cancer is emotionally and physically challenging.1 Breast cancer treatment contributes to mental and physical health problems. 2 Even when treatment-related problems subside, many breast cancer survivors report quality of life (QOL) difficulties including psychological distress, fatigue, occupational disruption, and loss of physical functioning.3 Clinically, understanding why some breast cancer survivors are more vulnerable to poorer QOL after treatment than others is important.

Women who experienced past traumas are at increased risk for psychological distress when confronted with new traumatic experiences.4 Breast cancer patients who experienced a serious accident, illness, or death of a close loved one during the year before their diagnosis were more likely to develop PTSD symptoms.5 Breast cancer survivors who reported severe emotional, physical, or sexual trauma over the course of their lifetime were more susceptible to cancer related emotional distress than those who did not have these experiences 6. Holocaust survivors experienced significantly more psychological distress than non-Holocaust survivors after a cancer experience.7

Child maltreatment is a common experience; approximately 50% of adults report experiencing some type of abuse or neglect as children.8 Those who were abused or neglected as children are more susceptible to a host of mental and physical health problems in adulthood, especially following a life threatening experience 9. For example, war veterans with a history of childhood abuse were more likely to have PTSD than their non-abused counterparts.10 Child abuse has also been linked to somatic symptoms in otherwise healthy people.11

Women who have experienced abuse or neglect as children may be at increased risk for poorer QOL after a cancer experience. Newly diagnosed breast cancer patients who were emotionally abused as children had more psychological distress compared to those who were not abused.12 Breast cancer patients who recalled one or more forms of abuse as children were more likely to experience emotional difficulties two days after cancer surgery.13

In sum, child maltreatment has been linked to cancer-related psychological distress. However, we do not know if child maltreatment also contributes to other QOL factors affecting breast cancer survivors such as fatigue, occupational disruption, loss of physical functioning, and problems specifically related to breast cancer. Furthermore, we do not know the mechanisms underlying why child maltreatment leads to these poorer QOL outcomes.13

Social support plays an important role in the QOL of cancer survivors.14 Cancer survivors who report receiving less social support have poorer mental health outcomes than those who report receiving more social support.15 Breast cancer survivors who received less support from family reported higher levels of depressive symptoms, less positive and hopeful outlooks for the future, less marital satisfaction, less self-esteem, lower levels of role functioning, more sexual problems, and higher levels of hostility than those who reported more support.1619

People who were abused or neglected as children report receiving less social support as adults.20 Children who have troubled relationships with parents and other adults are less likely to develop social and emotional skills that are crucial for establishing supportive close relationships in adulthood.21 Compared to people with positive early relationships, those with troubled early relationships are more likely to report receiving less social support later in life.22 Accordingly, social support may play an important role linking child maltreatment to the QOL of breast cancer survivors.

The current study examined relationships between child maltreatment and QOL in breast cancer survivors. We hypothesized that those who experienced neglect or abuse as children would have more cancer-related distress, fatigue, and poorer QOL after breast cancer treatment. We also hypothesized that these associations would be partially explained by the fact that those who experienced neglect or abuse as children would report receiving less social support as adults.

Participants

The study data were drawn from the baseline sample of 132 women who participated in a clinical trial addressing the potential benefits of yoga for breast cancer survivors. Participants were recruited through breast cancer clinics and media announcements. Eligible women had completed treatment for stage 0-IIIA breast cancer within the past two years (except for tamoxifen/aromatase inhibitors) and were at least two months post surgery, radiation, or chemotherapy (whichever occurred last). Screening exclusions included a prior history of breast or any other cancer except basal or squamous cell, more than five hours a week of vigorous physical exercise, a body mass index (BMI) of 40 or greater, diabetes, chronic obstructive pulmonary disease, uncontrolled hypertension, evidence of liver or kidney failure, and symptomatic ischemic heart disease. The Ohio State Biomedical Research Review Committee approved the project; all subjects gave written informed consent prior to participation.

Measures

In order to assess cancer-related psychological distress, we used the 15-item Impact of Events Scale (IES), which assessed women's avoidant and intrusive thoughts about the cancer experience.23 The current investigation used the total score. Cronbach's alpha was .88.

The Functional Assessment of Cancer Therapy-Breast (FACT-B) is a self-report inventory that provides a multidimensional assessment of QOL.24 The items assess 5 areas of well-being (physical, social/family, emotional, and functional), while 19 breast-cancer-specific items include breast cancer-related emotional concerns (e.g., worried about cancer risk in family members, worried about the effects of stress on illness), physical concerns (e.g., feeling short of breath, being bothered by swollen/tender arms), body image, and sexual functioning. Widely used in oncology trials and clinical practice, extensive data support its reliability and validity.24, 25 For the purpose of this study, we adopted the physical, emotional, functional, and cancer-specific scales. We excluded the social/family scale given its considerable conceptual and measurement overlap with the ISEL.

The Multidimensional Fatigue Symptom Inventory-Short Form (MFSI-SF) is a 30-item scale that assesses five dimensions of cancer-related fatigue.26 The total score represents the sum of four subscales (general fatigue, physical fatigue, emotional fatigue, and mental fatigue) minus the vigor scale. Alphas for individual subscales ranged from .86-.92. Alpha for the total score was .90.

The Interpersonal Support Evaluation List (ISEL) provided a comprehensive measure of perceived social support.27 Items are rated on a four-point scale (i.e. definitely false, probably false, probably true, and definitely true). The ISEL measures the perceived availability of the following kinds of support: emotional (someone to confide in), belonging (people with whom one can do things with), self-esteem (positive social comparison), and tangible (provision of material aid). For the current analyses, we used the total ISEL score. Alpha was .93.

The Charlson index28, the most widely used comorbidity index for predicting mortality, was used to assess comorbidities. The measure assigns weights to 19 comorbid conditions based on their potential influence on one-year mortality in breast cancer patients. Originally developed for predicting mortality in breast cancer patients, it has now been widely used with both cancer and noncancer populations.29

The Childhood Trauma Questionnaire provided data on early childhood abuse and neglect. Widely used, it has excellent normative data for its 5 scales: Physical, Sexual, and Emotional Abuse, and Physical and Emotional Neglect.30 We adopted the Walker cuts8 to make categorical cut-offs (with sensitivity and specificity >.85 for each scale). Then, we created a categorical indicator variable representing any maltreatment (exceeding ≥ CTQ cut point threshold), and a continuous variable representing number of maltreatment categories.8

Analytic Method

Using separate ordinary least squares general linear models, we first addressed the question of whether child maltreatment predicted cancer-related psychological distress, as well as the following Fact-B QOL subscales: physical well-being, emotional well-being, functional well-being, and the breast cancer subscale. We modeled child maltreatment as categorical (1= any abuse or neglect, 0= no abuse or neglect), and continuous (the number of abusive or neglectful categories) across separate analyses. For all significant associations between child maltreatment and adjustment outcomes, we examined whether social support mediated the association. We used Barron and Kenny's31 four step regression approach to establish mediation. First, the initial variable (i.e. child maltreatment) should be associated with the outcome. Second, the initial variable (i.e. child maltreatment) should be associated with the mediator (i.e. perceived support). Third, the mediator variable (i.e. perceived support) should be associated with the outcome. Fourth, the association between the initial variable and the outcome variable should be reduced when the mediator is added to the model with the initial variable. Subsequent research on mediation have revealed that only steps 2 and 3 are essential for partial mediation to exist as long as there is a significant mediated effect.32 In order to test whether there was a significant mediated effect (indirect effect), we employed bias-correct bootstrap estimates (2000) to obtain a confidence interval and a corresponding p-value. Bias-correct bootstrapping is superior to the traditional sobel test for testing indirect effects.33 All independent variables were grand mean centered. We examined residuals to confirm that they distributed normally.

All models were adjusted for age, cancer stage, and time since last treatment. Time since last treatment was highly correlated with time since diagnosis (r = .90 p < .001), accordingly we could not put both in the model simultaneously. In ancillary analyses, we controlled for cancer treatment rather than cancer stage; none of the results presented below changed.

Results

Table 1 reports descriptive information for all participants. Almost half (48%) of our sample had at least one form of maltreatment, consistent with the broader literature on child abuse and neglect.8 Maltreated and non-maltreated participants did not differ by treatment type, cancer stage, time since diagnosis, time since last treatment, or age. Less than 5% of our sample had any Charlson-rated comorbidities other than their breast cancer diagnosis, and thus we did not control for them in our analyses. In ancillary analyses that included Charlson scores, the models did not substantially change.

Table 1.

Sample Characteristics

Characteristic (n= 132)

No %
Age, years
 Mean (SD) 51.70 (9.488)

Abuse
 Emotional Neglect 16 12.1
 Physical Neglect 36 27.3
 Emotional Abuse 31 23.5
 Physical Abuse 19 14.4
 Sexual Abuse 19 14.4

Ethnicity
 Asian 3 2.3
 Black 11 8.3
 Latino 4 3.0
 White 117 88

Marital Status
 Single 18 13.6
 Married 97 73.5
 Separated/ Divorced 15 11.4
 Widowed 2 1.5

Education level
 High school or less 11 8.3
 Some College 33 25.0
 College or University Graduate 40 30.3
 Postgraduate 48 36.4

Employment Status
 Employed full or part time 90 68.2
 Unemployed 22 16.7
 Retired 20 15.2

Income Level
 $0-$25,000 4 3.1
 $25,000-$50,000 20 15.2
 $50,000-$75,000 26 19.7
 $75,000-$100,000 35 26.5
 >$100,000 35 26.5
 No Report 12 9.1

Type of Treatment
 Surgery Only 14 10.6
 Surgery + Radiation 30 22.7
 Surgery + Chemotherapy 34 25.8
 Surgery + Radiation + Chemotherapy 54 40.9

Cancer Stage
 Stage 0 9 6.8
 Stage I 57 43.2
 Stage IIA 37 28.0
 Stage IIB 15 11.4
 Stage IIIA 14 10.6

Months since diagnosis
 Mean (SD) 17.682 (7.953)

Months since last treatment
 Mean (SD) 11.26 (7.777)

Impact of Events
 Mean (SD) 27.864 (14.734)

Physical Well-Being
 Mean (SD) 22.212 (4.7083)

Emotional Well-Being
 Mean (SD) 18.667 (4.190)

Functional Well-Being
 Mean (SD) 19.750 (5.4217)

Breast Cancer Specific Well Being
 Mean (SD) 23.705 (5.9473)

ISEL
 Mean (SD) 93.697 (14.538)

We first present results for the analyses when maltreatment was modeled categorically. As seen in table 2, those who were abused or neglected as children had more cancer-related psychological distress (as indexed by the IES), more fatigue, poorer physical, emotional, functional, and breast cancer specific well-being. Second, the hypothesized mediator, social support, also predicted all of these outcomes. Third, those who were abused or neglected as children had lower social support. Finally, in every regression, when social support was included in the same regression model as child neglect/abuse, the association between child neglect/abuse and the QOL outcome was attenuated. When social support was added to the model along with child maltreatment, the associations between child maltreatment and emotional well-being, physical well-being, functional well being, and breast cancer specific well being were attenuated to non-significance. Importantly, in all six models, the bootstrap procedure showed the indirect effect of social support was significant. Accordingly, social support partially mediated the association between child maltreatment and each outcome.

Table 2.

Multiple regression analyses predicting PTSD symptoms, scores on the FACT-B quality of life subscales and the MFSI-SF fatigue scale from childhood maltreatment (categorical) and social support.

Cancer-related Psychological Distress FACT-B Emotional FACT-B Physical FACT-B Functional FACT-B Breast Cancer MFSI-SF Fatigue Social Support

Predictor Δ R2 β p Δ R2 β p Δ R2 β p Δ R2 β p Δ R2 β p Δ R2 β p Δ R2 β p
Step 1 Control Variables .022 .055* .046 .006 .069** .024
Step 2 Childhood Maltreatment .062** .256 .004 .049** -.226 .010 .046** -.220 .012 .068** -.267 .003 .029** -.173 .047 .131*** .372 .000 -.277 .002
Step 3 Childhood Maltreatment .066** .180 .042 .061** -.153 .080 .077*** -.138 .113 .262*** -.116 .138 .065** -.098 .262 .069*** .294 .001
Social Support -.274 .002 .262 .003 .295 .001 .546 .000 .272 .002 -.281 .001
Test of Indirect Effect (Bias Corrected Bootstrap) .001 .002 .002 .001 .004 .004
Total R2 .150 .164 .169 .336 .163 .225 .120
n 132 132 132 132 132 132 132
*

p < 0.10;

**

p < 0.05;

***

p < 0.001

We then present data from the analyses when maltreatment was modeled continuously. As can be seen in Table 3, those who experienced more types of abuse/neglect as children had more cancer-specific psychological distress, more fatigue, and poorer physical, emotional, functional, and breast cancer specific well-being. Second, the hypothesized mediator, social support, also predicted all of these outcomes. Third, those who experienced more types of abuse/neglect as children had lower social support. Finally, in every regression model, when social support was included in the same regression model as child neglect/abuse, the association between child neglect/abuse and the QOL outcome was attenuated. Importantly, in all six models, the bootstrap procedure showed the indirect effect of social support was significant. Accordingly, social support partially mediated the association between child maltreatment and each outcome.

Table 3.

Multiple regression analyses predicting PTSD symptoms, scores on the FACT-B quality of life subscales and the MFSI-SF fatigue scale from childhood maltreatment (continuous) and social support.

Cancer-related Psychological Distress FACT-B Emotional FACT-B Physical FACT-B Functional FACT-B Breast Cancer MFSI-SF Fatigue Social Support

Predictor Δ R2 β p Δ R2 β p Δ R2 β p Δ R2 β p Δ R2 β p Δ R2 β p Δ R2 β p
Step 1 Control Variables .022 .055* .046 .006 .069** .024 .047
Step 2 Childhood Maltreatment .052** .230 .009 .042** -.208 .016 .046** -.216 .013 .088*** -.301 .001 .099*** -.319 .000 .161*** .406 .000 .114*** -.343 .000
Step 3 Childhood Maltreatment .064** .136 .132 .058** -.118 .185 .072*** -.116 .190 .242*** -.117 .139 .038** -.246 .005 .052** .321 .000
Social Support -.28 .003 .263 .004 .292 .001 .537 .000 .213 .015 -.25 .004
Test of Indirect Effect (Bias Corrected Bootstrap) .001 .002 .002 .001 .004
Total R2 .138 .156 .164 .336 .206 .237 .161
n 132 132 132 132 132 132 132
*

p < 0.10;

**

p < 0.05;

***

p < 0.001

Discussion

With more women surviving breast cancer, health professionals have focused on why some breast cancer survivors are more vulnerable to poorer post-treatment QOL than others.34 The current study examined relationships between child maltreatment and QOL among breast cancer survivors. Those who were abused or neglected as children experienced more cancer-specific psychological distress, more fatigue, and poorer physical, emotional, functional, and breast cancer specific well-being after treatment. Those who were maltreated as children also reported receiving less social support, and those who had reported receiving less social support also had poorer QOL across all of the aforementioned components. Furthermore, social support partially explained the link between child maltreatment and these quality of life outcomes.

The association between child abuse/neglect and each QOL outcome is notable. Previous studies have shown that childhood abuse predicts PTSD and emotional distress after a traumatic life event.12, 13 In addition to replicating these associations, we also demonstrated relationships between maltreatment and fatigue, and poorer physical, emotional, functional, and breast cancer specific well being. This suggests that child abuse/neglect affects facets of breast cancer survivor QOL beyond emotional distress. Health care professionals should devote increased attention to a breast cancer patient's abuse history when addressing both emotional and somatic problems.

The finding that child maltreatment predicted fatigue is particularly notable. Fatigue is the most common problem among long-term cancer survivors35, as well as the symptom that interferes most with their daily life.3 Fatigue adversely affects overall QOL.36 In general, neither disease type nor treatment variables have demonstrated reliable associations with fatigue in cancer survivors. Thus, understanding the psychological characteristics that predict cancer-specific fatigue is important.

Our findings also show that those who were maltreated as children report receiving less social support, which contributes to the association between child maltreatment and QOL outcomes. Improving women's social support networks is one of the best documented ways to improve breast cancer survivor QOL.37 Future work examining whether interventions targeting those with a history of child maltreatment should differ from general support interventions is needed.

Child maltreatment and social support may have implications beyond QOL. Epidemiological research has linked lower levels of social support with greater breast cancer mortality.14 For example, in a study of 2,835 breast cancer survivors, women who reported less social support before diagnosis were two times as likely to die of breast cancer over a 10 year period compared with women who had greater support.38 Furthermore, in a recent study of over 13,000 adults, those who were physically abused as children had 49% higher odds of having a cancer diagnosis than those who were not abused.39

This study has limitations. First, it is possible that people were biased when reporting abuse or neglect as children. However, people generally under-report rather than over report childhood abuse and neglect.40 We focused exclusively on women who were newly diagnosed with breast cancer; thus, we do not know if our findings generalize to men. Future work assessing cancers that predominately affect males are needed in order to generalize our results to men. Additionally, our sample was predominately white, another limitation of our study that could be addressed in future work with a more diverse sample.

Well after treatment-related problems subside, many breast cancer survivors report QOL difficulties. Our findings suggest that child maltreatment is related to poorer QOL among breast cancer survivors, and social support contributes to the link. A better understanding of how child maltreatment contributes to breast cancer survivor QOL will help in tailoring and therefore enhancing the efficacy of interventions aimed at improving these outcomes.

Acknowledgments

Work on this paper was supported in part by NIH grants R01CA126857, R01 CA131029, NCRR Grant UL1RR025755, which funds the Clinical Research Center, the Ohio State Comprehensive Cancer Center Core Grant CA16058, and an American Cancer Society Postdoctoral Fellowship Grant PF-11-007-01-CPPB awarded to the first author.

Footnotes

Conflict of Interest Statement: The authors have no financial interests or relationships that pose potential conflicts of interest with this article.

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