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Cancer Epidemiology Biomarkers & Prevention 17, 435, February 1, 2008. doi: 10.1158/1055-9965.EPI-07-2541
© 2008 American Association for Cancer Research

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Psychosocial Outcomes and Health-Related Quality of Life in Adult Childhood Cancer Survivors: A Report from the Childhood Cancer Survivor Study

Lonnie K. Zeltzer1, Qian Lu1, Wendy Leisenring3, Jennie C.I. Tsao1, Christopher Recklitis4, Gregory Armstrong2, Ann C. Mertens5, Leslie L. Robison2 and Kirsten K. Ness2

1 Department of Pediatrics and Division of Cancer Prevention and Control Research, David Geffen School of Medicine at University of California at Los Angeles and University of California at Los Angeles's Jonsson Comprehensive Cancer Center, Los Angeles, California; 2 Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, Tennessee; 3 Fred Hutchinson Cancer Research Center, Seattle, Washington; 4 Dana-Farber Cancer Institute, Boston, Massachusetts; and 5 Department of Pediatrics, Emory University, Atlanta, Georgia

Requests for reprints: Lonnie K. Zeltzer, Department of Pediatrics, David Geffen School of Medicine at University of California at Los Angeles, 22-464 MDCC, 10833 Le Conte Avenue, Los Angles, CA 90095-1752. Phone: 310-825-0731; Fax: 310-794-2104. E-mail: lzeltzer{at}mednet.ucla.edu


    Abstract
 Top
 Abstract
 Introduction
 Materials and Methods
 Results
 Discussion
 References
 
Purpose: Psychological outcomes, health-related quality of life (HRQOL), and life satisfaction are compared between 7,147 adult childhood cancer survivors and 388 siblings from the Childhood Cancer Survivor Study, examining demographic and diagnosis/treatment outcome predictors.

Methods: Psychological distress, HRQOL, and life satisfaction were measured by the Brief Symptom Inventory-18, the Medical Outcomes Survey Short Form-36, and Cantril Ladder of Life, respectively. A self-report questionnaire provided demographic/health information and medical record abstraction provided cancer/treatment data. Siblings' and survivors' scores were compared using generalized linear mixed models, and predictor effects of demographic and cancer/treatment variables were analyzed by multivariate logistic regression.

Results: Although survivors report greater symptoms of global distress (mean, 49.17; SE, 0.12) than do siblings (mean, 46.64; SE, 0.51), scores remain below population norms, indicating that survivors and siblings remain psychologically healthy. Survivors scored worse than siblings on overall physical (51.30 ± 0.10 versus 54.98 ± 0.44; P < 0.001) but not emotional aspects of HRQOL, but effect sizes were small, other than in vitality. Most survivors reported present (mean, 7.3; SD, 0.02) and predicted future (mean, 8.6; SD, 0.02) life satisfaction. Risk factors for psychological distress and poor HRQOL were female gender, lower educational attainment, unmarried status, annual household income <$20,000, unemployment, lack of medical insurance, having a major medical condition, and treatment with cranial radiation.

Conclusion: Compared with population norms, childhood cancer survivors and siblings report positive psychological health, good HRQOL, and life satisfaction. The findings identify targeted subgroups of survivors for intervention. (Cancer Epidemiol Biomarkers Prev 2008;17(2):435–46)


    Introduction
 Top
 Abstract
 Introduction
 Materials and Methods
 Results
 Discussion
 References
 
Adulthood is now attainable for most children treated for cancer with 5-year survival rates at 80% (1). Increased survival may be accompanied by long-term burden for some individuals related to the unique characteristics of their cancer diagnoses and treatment and the effect of treatment on their educational, psychological, and social development. Identification of subgroups of childhood cancer survivors at risk for poor health-related quality of life (HRQOL) is important for development of intervention strategies. As treatments evolve, determination of treatments promoting long-term survival and reduced risk for poor HRQOL outcomes will be a goal.

Findings in survivors are often derived from single-institution oncology programs or long-term follow-up clinics and suggest that psychosocial status and HRQOL are relatively good for most survivors, yet less favorable outcomes have been reported (2-6). Childhood Cancer Survivor Study (CCSS) reports have examined psychosocial outcomes and HRQOL within specific diagnostic groups (7-11). However, it is necessary to examine the entire cohort of childhood cancer survivors, compare them with siblings, and identify demographic and treatment risk factors so that risk-based treatments to enhance HRQOL of life can be developed.

This report describes psychosocial status, HRQOL, and life satisfaction in the CCSS cohort, compares findings to sibling controls and population norms, and examines broad demographic and treatment factors associated with poor outcomes among survivors. We have used siblings as the major comparison group for survivors because the demographic match to the survivors is closer in the sibling group than in cohorts from which the population norms were derived (12). This article, by painting the big picture, will provide the background for future, more detailed, within-diagnosis analyses.


    Materials and Methods
 Top
 Abstract
 Introduction
 Materials and Methods
 Results
 Discussion
 References
 
Participants
The CCSS cohort, a resource funded by the National Cancer Institute, represents the largest and most comprehensively characterized group of childhood cancer survivors in North America. Details of study design and cohort characteristics have been described elsewhere (13, 14). Subjects were recruited from persons treated for an initial diagnosis of leukemia, central nervous system (CNS) malignancy, Hodgkin's disease, non–Hodgkin's lymphoma (NHL), kidney cancer, neuroblastoma, soft tissue sarcoma, or malignant bone tumor at 1 of 26 institutions across the United States and Canada, survivors >5 years, and diagnosed between 1970 and 1986 when younger than 21 years of age. Among the 20,267 eligible individuals, 17,273 were located; 14,024 (81.2%) survivors and 3,846 siblings were enrolled. Comparison of participants, nonparticipants, and those who were lost to follow-up showed similar demographic, disease, and treatment characteristics (14, 15). Of eligible survivors and siblings 18 years of age or older at contact and available for the second follow-up survey, 9,307 (84%) survivors and 2,875 (80%) siblings participated. The psychosocial portion of this survey was sent to all survivors and a randomly selected subsample of 500 siblings, with 7,147 (77%) survivors and 388 (78%) siblings participating. The study was approved by Institutional Review Boards of all participating institutions with participants providing informed consent.

Outcome Variables
Emotional health was evaluated by the 18-item Brief Symptom Inventory-18 (BSI-18), which includes symptoms over the previous 7 days. The BSI-18 has been validated in healthy volunteers (16), in cancer patients (17), and in an earlier administration with this cohort of cancer survivors (18). The BSI-18 has a summary scale (the global distress index) and three subscales (depression, anxiety, and somatization). Raw scores were converted to T-scores based on U.S. population norms and dichotomized using a cutpoint of 63. Those with T-scores ≥63 were classified as having poor emotional health (17, 18).

The Medical Outcomes Short Form-36 (SF-36) was used to evaluate HRQOL. Participants answered 36 questions about general health, well-being, and quality of life over the previous 4 weeks. The SF-36 has two summary scales and eight individual subscales representing different aspects of well-being (19). Data are presented as T-scores, with a general population mean of 50 and SD of 10. Higher scores indicate "better" HRQOL (19). T-scores were dichotomized for the multiple variable models. Participants with T-scores at least 1 SD below the population mean (≤40) were classified as reporting poor HRQOL.

Life satisfaction was determined by having participants complete the Cantril Ladder of Life (LOL). The LOL assesses respondents' life satisfaction with three self-report items that indicate life satisfaction in the past, present, and future. Ratings are made on a 10-point scale ranging from "best possible life" to "worst possible life" (20), providing a global rating of life satisfaction that has been used in both population studies and clinical survivor samples (21-23).

Risk Factors
For these analyses, we considered sex, age at diagnosis and interview, length of follow-up, race/ethnicity, marital status, educational attainment, annual household income, and health insurance as independent variables in our multiple variable models. Major medical condition was included as a covariate in the models and was derived from information provided by participants about medical late effects. Participants who reported complete deafness, kidney dialysis, congestive heart failure, myocardial infarction, angioplasty, bypass surgery, stroke, liver cirrhosis, a heart, lung, or kidney transplant, amputation, joint replacement or second cancer, and/or current use of seizure medications, medications for heart problems or high blood pressure, chemotherapy, immune suppressants, or oxygen were classified as having a major medical condition (24). Diagnosis, treatment, and related information were obtained from medical records.

Data Analysis
Descriptive statistics were calculated for demographic and treatment variables and compared between survivors and siblings with generalized estimating equations (25). To account for sibling-survivor pairs, mixed models were also used to calculate and compare age- and gender-adjusted mean scores between siblings and survivors overall and, by diagnosis, on subscales and summary scales for the BSI, the SF-36, and the LOL (26). Mean scores on the BSI-18 and SF-36 were compared among study participants and age- and gender-specific population norms with one-sample t tests. Frequencies and percents of dichotomized outcomes for the psychosocial, HRQOL, and life satisfaction scales were calculated and compared among survivors using both demographic and treatment characteristics as predictors in multiple variable logistic regression models. Statistical Analysis System version 9.1 was used for analysis. Bonferroni corrections (n = 17) were used to reduce errors related to multiple tests, with {alpha} levels set at 0.003.


    Results
 Top
 Abstract
 Introduction
 Materials and Methods
 Results
 Discussion
 References
 
Characteristics of the Study Population
Participants were more likely than nonparticipants to be female, older than 24 years of age, white, college educated, married, and employed than were nonparticipants (data not shown). Survivor participants did not differ from nonparticipants by cancer diagnosis, survival time, or baseline BSI scores. As expected, based on their random selection for participation in the psychosocial portion of the questionnaire, sibling participants did not differ from nonparticipants by sex, age, race, educational attainment, employment, marital status, or scores on the BSI at baseline.

Demographic characteristics of participating survivors and siblings are shown in Table 1 . Survivors had a median age of 32 (18-54) years and siblings had a median age of 33 (18-58) years. Among survivors, median age at diagnosis was 7 (0-20) years and median survival time was 23 (15-34) years. Cases were more likely than siblings to be younger, white, single, not employed, and not insured; have lower income; and have a major medical condition.


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Table 1. Characteristics of the study population

 
Survivors (and by Diagnostic Subgroup) versus Siblings
Age- and gender-adjusted means and SEs from generalized linear mixed models on each of the BSI, SF-36, and LOL scales are shown in Table 2A to C .


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Table 2. Means and SEs on BSI, SF-36, and LOL for survivors and siblings, overall and by diagnosis

 
Emotional Health (BSI-18). Compared with siblings, survivors reported more symptoms of global distress, depression, anxiety, and somatization, although scores are lower (better) than population norms for both groups. Survivors of acute lymphoblastic leukemia, astrocytomas, CNS tumors other than medulloblastoma, Hodgkin's disease, NHL, Wilm's tumor, soft tissue sarcoma, Ewing's sarcoma, and osteosarcoma reported higher levels of global distress. Survivors of astrocytoma, NHL, Ewing's sarcoma, and osteosarcoma reported significantly higher depressive symptoms, anxiety, and somatization. Generally, survivors and siblings had fewer symptoms than the general population, with survivors of astrocytoma reporting more depression and survivors of Hodgkin's disease reporting more somatization than population norms.

HRQOL (SF-36). Whereas survivors and siblings scored higher than norms in mental health, survivors scored lower than population norms on all other aspects of HRQOL, except for pain and the mental component summary, and lower than siblings on the physical component summary of the SF-36; however, sibling and survivor means did not differ significantly on the mental component summary, a pattern persisting for survivors across diagnostic groups, except for survivors of other or unspecified leukemia and bone cancer other than Ewing's sarcoma or osteosarcoma. General health subscale means were also lower for survivors than siblings. Survivors of CNS tumors, lymphoma, soft tissue, or bone malignancies reported more problems in physical function, role physical, general health, and social function domains than did siblings. Bone cancer survivors also reported significant bodily pain. In addition, survivors of osteosarcoma had lower mean scores than siblings on the role emotional and mental health subscales. Survivors of astrocytoma also scored lower on the mental health subscale, and survivors of NHL scored lower on the vitality subscale when compared with siblings. Compared with age-relevant U.S. population norms, survivors had poorer outcomes on physical function, role physical, general health, vitality, role emotional, and social function domains as well as physical component but had better outcomes on the mental health subscale. This pattern persisted for survivors across diagnostic groups, except for those with leukemia, Wilm's tumor, neuroblastoma, and bone cancer other than Ewing's sarcoma or osteosarcoma. Compared with norms, siblings had better outcomes on physical function, general health, and mental health domains and poorer outcomes on the vitality domain.

Life Satisfaction (LOL). Overall, survivors and siblings reported high levels of current and predicted life satisfaction, except for CNS tumor survivors who predicted lower levels of satisfaction 5 years into the future than did siblings. Both survivors and siblings reported better current and future life satisfaction than did the general population.

Demographic and Social Factors
Frequencies and percents of having poor psychosocial or quality of life among survivors by sociodemographic characteristics are shown in Table 3A and B with odds ratios (OR) and 95% confidence intervals (95% CI).


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Table 3.

 
Emotional Health (BSI-18). In adjusted models, female gender, lower educational attainment, unemployment, annual household income <$20,000, lack of health insurance, being African-American, and having a major medical condition were associated with increased risk for reporting symptoms of depression, anxiety, somatization, and global distress. Current age over 35 years was also associated with higher risk of reporting depressive symptoms. Compared with those who were married/living as married, unmarried survivors were more likely to report depressive symptoms and global distress. Divorced or separated individuals also reported more symptoms of anxiety when compared with those who were married/living as married. Hispanics were more likely than Whites to report symptoms of somatization and global distress.

HRQOL (SF-36). Female gender, unemployment, annual household income <$20,000, and lack of health insurance were associated with poor HRQOL across all summaries and subscales of the SF-36. Participants with a major medical condition were more likely than those without to report poor HRQOL across most domains, with the exception of mental health subscale and mental component summary scale. Older age and lower educational attainment were associated with increased risk of reporting poor physical HRQOL (physical component summary, general health, physical function, role physical, and bodily pain subscales), less vitality, and poor social function.

Compared with Whites, Hispanics were at increased risk of reporting poor outcomes on role physical and social function subscales. Other ethnic minorities (non-Black and non-Hispanic) were at increased risk of reporting poor HRQOL in role emotional and mental health domains. Compared with those who were married/living as married, unmarried survivors were at increased risk of reporting poor outcomes on role emotional, social function, and mental health subscales. When compared with those who were married/living as married, divorced or separated individuals also reported an increased prevalence of problems in role physical, general heath, and vitality domains.

Treatment Factors
Frequencies and percents of having a poor psychosocial or quality of life outcome among survivors by treatment characteristics are shown in Table 4A and B with ORs and 95% CIs from unconditional logistic regression models.


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Table 4.

 
Emotional Health (BSI-18). In adjusted models, the only predictor of poor emotional health was previous treatment with cranial radiation, with only modest strength. Survivors treated with cranial radiation were at a slightly higher risk of reporting depressive symptoms compared with those without cranial radiation.

HRQOL (SF-36). After adjusting for gender, age at diagnosis and survival time, and treatments with surgery, chemotherapy, and cranial radiation therapy, were each associated with higher risk of reporting poor HRQOL in physical function, role physical, and general health subscales and on the physical component summary. In multiple variable models, history of surgery was associated with elevated risk of poor HRQOL in physical function, role physical, bodily pain, vitality, role emotional, and social function subscales and in physical and mental components when compared with those without surgical history, although association magnitude was modest, except for physical function (OR, 1.9; 95% CI, 1.5-2.5). Survivors who received chemotherapy compared with those without reported poor HRQOL only in general health. Younger age at diagnosis was associated with decreased risk of poor HRQOL in physical function, role physical, bodily pain, and general health subscales and in the physical component summary. Survivors >25 years reported better HRQOL in physical function, role physical, bodily pain, general health, and physical component summary compared with survivors >30 years.


    Discussion
 Top
 Abstract
 Introduction
 Materials and Methods
 Results
 Discussion
 References
 
Whereas adult survivors of childhood cancer from the CCSS report more symptoms of psychological distress compared with siblings, both groups report better psychological adjustment than that of population norms. Survivors report poorer HRQOL in physical and social but not in mental health domains compared with siblings. Compared with U.S. population norms, survivors have increased risk of poor HRQOL in physical and social domains, with the largest effect size in vitality. Compared with population norms, siblings fare better in physical function and general health, and both survivors and siblings report better mental health than does the general population, as well as high levels of current life satisfaction. Except for CNS tumor survivors, both groups also expect high life satisfaction in 5 years. Our findings add to information from previous CCSS estimates of health status (24) and chronic disease (27). Despite their increased risk for poor health status, and the fact that >70% of childhood cancer survivors report a chronic health condition, survivors' expectation of future life satisfaction is excellent.

Survivors of CNS tumors, lymphoma, bone, and soft tissue sarcomas have the lowest mean HRQOL scores. Female gender, lower educational attainment, unmarried status, annual household income <$20,000, unemployment, lack of medical insurance, and having a major medical condition are all associated with a higher risk of psychological distress and poor outcomes in some aspects of HRQOL. Previous treatment with cranial radiation and surgery are associated with poor HRQOL, particularly in physical domains. Participants diagnosed <10 years of age or treated in the past 25 years report better HRQOL than those diagnosed >10 years of age or treated >30 years ago.

Our findings support the low mean psychological distress found in a study of 161 childhood cancer survivors (28, 29) on the SCL-90-R (30), the parent instrument of the BSI-18, and yet are consistent with another investigation (31) of 101 survivors where ~32% screened positive for psychological distress on the SCL-90-R, with a history of cranial radiation and poor physical health as predictors. Our results extend earlier CCSS findings of increased depression and somatization in survivors of leukemia and lymphoma (9), brain tumor (8), and solid tumors (10) compared with siblings. Our findings are also consistent with earlier reports of associations between poor HRQOL and female gender (32-35), older age (35), lower educational attainment (33), unemployment (33), and medical limitations (33). Others found being survivors >26 years (32) and treatment with cranial radiation or surgery (34, 35) as risks for poor physical HRQOL. Younger age at diagnosis and decreased risk of poor physical HRQOL in our study contradicts another study of 2,152 childhood cancer survivors (35) that used the Health Utilities Index Mark III, a discrepancy possibly explained by differences in the focus of the Health Utilities Index Mark III versus SF-36.

Although our findings are based on a large sample, varied diagnoses, and participants from 26 children's cancer centers throughout North America, they should not be considered without taking into account potential study limitations. First, we used only self-report data to characterize outcomes. Clinical interviews may have improved the precision of our estimates, particularly those related to psychological distress. Second, the SF-36 is a generic HRQOL measure. To investigate the physical and psychological functioning of these survivors more systematically, more specific measures may be needed. Change over time with longitudinal repeated measures assessments is needed to determine stability of our findings and the developmental trajectory of HRQOL in this population. In addition, the survivor participants in our study were more likely than nonparticipants to be female, white, married, employed, and college graduates. It is possible that these successful survivors were more aware of their levels of achievement and thus either more or less likely to express dissatisfaction with their outcome.

Based on our data, we could interpret the findings of our study as good news. Overall, most of the measures indicate that survivors and siblings both report lower psychological distress and better HRQOL, as well as life satisfaction, in comparison with population norms. Where there were differences, generally effect sizes were small, except for the vitality subscale as noted above. In fact, our sample seems to report significantly better mental health than that of population norms, with a large effect size. We could explain our findings as "posttraumatic growth" or the psychological resilience that develops in coping with adverse circumstances (36, 37). That is, experiencing childhood cancer or being a young sibling of a sister or brother with cancer inoculates individuals to other negative life experiences and provides them with feelings of life satisfaction and overall psychological well being. In one study, lower level of worry during cancer treatment was related to ultimate life satisfaction (37). On the other hand, there are some data indicating that most people show life satisfaction even with very poor health states, such as amputation (38, 39), and several studies indicating that survivors of cancers in general and childhood cancers in particular may be biased reporters and tend to deny difficulties and overestimate their positive health and satisfaction (40-44). O'Leary et al. (45) reported from a sample of Dana-Farber patients participating in CCSS that survivors had a strong tendency toward an enhanced self-appraisal and such bias had a differential effect on self-reported physical and emotional quality of life.

Unlike smaller cohort studies, our large sample permits analyses that identify vulnerable subgroups and suggest specific diagnostic/treatment pathways to psychological symptoms and poor HRQOL. Understanding reasons for pain in bone tumor survivors or poor future outlook in CNS tumor survivors might lead to earlier preventive strategies, such as better pain management during bone cancer treatment or early educational interventions for children with CNS tumors (46). Rather than implying poor HRQOL in all survivors, we have identified certain survivor groups with more severe effect and suggest the need for prospective, longitudinal, in-depth examination of pathways and mediators of psychological distress and poor HRQOL. Studies of these high-risk subgroups can inform strategies designed to reduce psychosocial and HRQOL sequelae.


    Footnotes
 
Grant support: National Cancer Institute grant U24-CA55727 (L.L. Robison, Principal Investigator), American Lebanese Syrian Associated Charities (St. Jude Children's Research Hospital), Children's Cancer Research Fund (University of Minnesota), University of California at Los Angeles's Jonsson Comprehensive Cancer Center postdoctoral fellowship (Q. Lu), and Lance Armstrong Foundation grant G-00-12-076-02 (L. Zeltzer, Principal Investigator).

The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.

Received 9/ 8/07; revised 11/ 1/07; accepted 11/30/07.


    References
 Top
 Abstract
 Introduction
 Materials and Methods
 Results
 Discussion
 References
 

  1. National Cancer Institute. U.S. estimated complete prevalence counts on 1/1/2002. Available from: http://srab.cancer.gov/prevalence/canques.html.
  2. Casillas JN, Zebrack BJ, Zeltzer LK. Health-related quality of life for Latino survivors of childhood cancer. J Psychosoc Oncol 2006;24:125–45.[Medline]
  3. Langeveld NE, Stam H, Grootenhuis MA, Last BF. Quality of life in young adult survivors of childhood cancer. Support Care Cancer 2002;10:579–600.[CrossRef][Medline]
  4. Seitzman RL, Glover DA, Meadows AT, et al. Self-concept in adult survivors of childhood acute lymphoblastic leukemia: a cooperative Children's Cancer Group and National Institutes of Health study. Pediatr Blood Cancer 2004;42:230–40.[Medline]
  5. Stam H, Grootenhuis MA, Caron HN, Last BF. Quality of life and current coping in young adult survivors of childhood cancer: positive expectations about the further course of the disease were correlated with better quality of life. Psychooncology 2006;15:31–43.[CrossRef][Medline]
  6. Zeltzer LK, Chen E, Weiss R, et al. Comparison of psychologic outcome in adult survivors of childhood acute lymphoblastic leukemia versus sibling controls: a cooperative Children's Cancer Group and National Institutes of Health study. J Clin Oncol 1997;15:547–56.[Abstract/Free Full Text]
  7. Nagarajan R, Clohisy DR, Neglia JP, et al. Function and quality-of-life of survivors of pelvic and lower extremity osteosarcoma and Ewing's sarcoma: the Childhood Cancer Survivor Study. Br J Cancer 2004;91:1858–65.[CrossRef][Medline]
  8. Zebrack BJ, Gurney JG, Oeffinger K, et al. Psychological outcomes in long-term survivors of childhood brain cancer: a report from the childhood cancer survivor study. J Clin Oncol 2004;22:999–1006.[Abstract/Free Full Text]
  9. Zebrack BJ, Zeltzer LK, Whitton J, et al. Psychological outcomes in long-term survivors of childhood leukemia, Hodgkin's disease, and non-Hodgkin's lymphoma: a report from the Childhood Cancer Survivor Study. Pediatrics 2002;110:42–52.[Abstract/Free Full Text]
  10. Zebrack BJ, Zevon MA, Turk N, et al. Psychological distress in long-term survivors of solid tumors diagnosed in childhood: a report from the childhood cancer survivor study. Pediatr Blood Cancer 2007;49:47–51.[CrossRef][Medline]
  11. Nathan PCNK, Greenberg ML, Hudson M, et al. Health-related quality of life in adult survivors of childhood Wilms tumor or neuroblastoma: a report from the Childhood Cancer Survivor Study. Pediatr Blood Cancer 2007;49:704–15.[Medline]
  12. Zebrack B, Zeltzer LK, Whitton J, Berkow R, Chesler MA. Survivors of childhood cancer: using siblings as a control group. Pediatrics 2003;112:1454–5.[Free Full Text]
  13. Robison LL, Green DM, Hudson M, et al. Long-term outcomes of adult survivors of childhood cancer. Cancer 2005;104:2557–64.[CrossRef][Medline]
  14. Robison LL, Mertens AC, Boice JD, et al. Study design and cohort characteristics of the Childhood Cancer Survivor Study: a multi-institutional collaborative project. Med Pediatr Oncol 2002;38:229–39.[CrossRef][Medline]
  15. Mertens AC, Walls RS, Taylor L, et al. Characteristics of childhood cancer survivors predicted their successful tracing. J Clin Epidemiol 2004;57:933.[CrossRef][Medline]
  16. Derogatis LR, Melisaratos N. The Brief Symptom Inventory: an introductory report. Psychol Med 1983;13:595–605.[Medline]
  17. Derogatis L. Brief Symptom Inventory (BSI) 18. Administration, scoring, and procedures manual. Minneapolis (MN): NCS Pearson, Inc.; 2000.
  18. Recklitis CJ, Parsons SK, Shih MC, Mertens A, Robison LL, Zeltzer L. Factor structure of the brief symptom inventory-18 in adult survivors of childhood cancer: results from the childhood cancer survivor study. Psychol Assess 2006;18:22–32.[Medline]
  19. Ware JE, Jr., Sherbourne CD. The MOS 36-item short-form health survey (SF-36). I. Conceptual framework and item selection. Med Care 1992;30:473–83.[Medline]
  20. Cantril H. The pattern of human concerns. New Brunswick (NJ): Rutgers University Press; 1965.
  21. Ashing-Giwa K, Ganz PA, Petersen L. Quality of life of African-American and white long term breast carcinoma survivors. Cancer 1999;85:418–26.[CrossRef][Medline]
  22. Ganz PA, Desmond KA, Leedham B, Rowland JH, Meyerowitz BE, Belin TR. Quality of life in long-term, disease-free survivors of breast cancer: a follow-up study. J Natl Cancer Inst 2002;94:39–49.[Abstract/Free Full Text]
  23. Taylor P, Funk C, Craighill P. Americans see less progress on their ladder of life. Washington (DC): Pew Research Center; 2006.
  24. Hudson MM, Mertens AC, Yasui Y, et al. Health status of adult long-term survivors of childhood cancer: a report from the Childhood Cancer Survivor Study. Jama 2003;290:1583–92.[Abstract/Free Full Text]
  25. Liang K, Zeger S. Longitudinal data analysis using generalized linear models. Biometrika 1986;73:13–22.[Abstract/Free Full Text]
  26. McCullock C, Searle S. Generalized, linear, and mixed models. Wiley (NY): John Wiley & Sons, Inc.; 2001.
  27. Oeffinger KC, Mertens AC, Sklar CA, et al. Chronic health conditions in adult survivors of childhood cancer. N Engl J Med 2006;355:1572–82.[Abstract/Free Full Text]
  28. Derogatis LR. SCL-90-R Symptom Checklist-90-R. Minneapolis (MN): National Computer Systems, Inc.; 1994.
  29. Elkin TD, Phipps S, Mulhern RK, Fairclough D. Psychological functioning of adolescent and young adult survivors of pediatric malignancy. Med Pediatr Oncol 1997;29:582–8.[CrossRef][Medline]
  30. Derogatis L. SCL-90-R: administration, scoring and procedures manual. Minneapolis (MN): National Computer Systems; 1997.
  31. Recklitis C, O'Leary T, Diller L. Utility of routine psychological screening in the childhood cancer survivor clinic. J Clin Oncol 2003;21:787–92.[Abstract/Free Full Text]
  32. Blaauwbroek R, Stant AD, Groenier KH, Kamps WA, Meyboom B, Postma A. Health-related quality of life and adverse late effects in adult (very) long-term childhood cancer survivors. European Journal of Cancer 2007;43:122.[CrossRef][Medline]
  33. Langeveld NE, Grootenhuis MA, Voûte PA, de Haan RJ, van den Bos C. Quality of life, self-esteem and worries in young adult survivors of childhood cancer. Psychooncology 2004;13:867–81.[CrossRef][Medline]
  34. Maunsell E, Pogany L, Barrera M, Shaw AK, Speechley KN. Quality of life among long-term adolescent and adult survivors of childhood cancer. J Clin Oncol 2006;24:2527–35.[Abstract/Free Full Text]
  35. Pogany L, Barr RD, Shaw A, Speechley KN, Barrera M, Maunsell E. Health status in survivors of cancer in childhood and adolescence. Quality of Life Research 2006;15:143–57.[CrossRef][Medline]
  36. Zebrack BJ, Zeltzer LK. Quality of life issues and cancer survivorship. Curr Probl Cancer 2003;27:198–211.[CrossRef][Medline]
  37. Zebrack BJ, Chesler M. Health-related worries, self-image, and life outlooks of long-term survivors of childhood cancer. Health Soc Work 2001;26:245–56.[Medline]
  38. Albrecht G, Devlieger P. The disability paradox: high quality of life against all odds. Soc Sci Med 1999;48:977–88.[CrossRef][Medline]
  39. Asendorpf J, Ostendorf F. Is self-enhancement healthy? Conceptual, psychometric, and empirical analysis. J Pers Soc Psychol 1998;74:955–66.[CrossRef][Medline]
  40. Phipps S, Steele RG, Hall K, Leigh L. Repressive adaptation in children with cancer: a replication and extension. Health Psychol 2001;20:445–51.[CrossRef][Medline]
  41. Phipps S, Srivastava D. Repressive adaptation in children with cancer. Health Psychol 1997;16:521–8.[CrossRef][Medline]
  42. Phipps S, Steele R. Repressive adaptive style in children with chronic illness. Psychosom Med 2002;64:34–42.[Abstract/Free Full Text]
  43. Zachariae R, Jensen AB, Pedersen C, et al. Repressive coping before and after diagnosis of breast cancer. Psychooncology 2004;13:547–61.[CrossRef][Medline]
  44. Breetvelt I, Van Dam F. Underreporting by cancer patients: the case of response-shift. Soc Sci Med 1991;32:981–7.[CrossRef][Medline]
  45. O'Leary T, Diller L, Recklitis CJ. The effects of response bias on self-reported quality-of-life among childhood cancer survivors. Quality of Life Research 2007;16:1211–20.[CrossRef][Medline]
  46. Glover DA, Byrne J, Mills JL, et al. Impact of CNS treatment on mood in adult survivors of childhood leukemia: a report from the Children's Cancer Group. J Clin Oncol 2003;21:4395–401.[Abstract/Free Full Text]



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