Early-life exposure to income inequality and adolescent health Frank Elgar McGill University.
Assessment of health-related quality of life of adolescent cancer patients using the...
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Pediatr Blood Cancer 2007;48:678–686
Assessment of Health-Related Quality of Life of Adolescent CancerPatients Using the Minneapolis-Manchester Quality of
Life Adolescent Questionnaire
Eric Wu, BA,1 Leslie L. Robison, PhD,2 Meriel E.M. Jenney, MD,3 Todd H. Rockwood, PhD,4
James Feusner, MD,5 Debra Friedman, MD,6 Robert L. Kane, MD,4 and Smita Bhatia, MD, MPH1*
INTRODUCTION
Improvements in risk-based therapy for childhood cancer have
resulted in 5-year survival rates approaching 80% [1], shifting the
focus to the health and well being of childhood cancer survivors, and
in particular, of adolescent survivors. The developmental needs
during adolescence include achieving a sense of identity, forming
relationships with peers, and establishing independence from
parents, and might be restricted by the cancer experience, affecting
the survivor’s self-esteem and social functioning [2–7]. The
uncertainty of recurrence, and the long-term consequences of
treatment [8] could have a significant impact on their health-related
quality of life (HRQL). While previous studies have attempted to
assess HRQL of adolescents with cancer [4,9–38], conclusions have
been limited by: (1) lack of standardized methods; (2) input from
proxies rather than patient; (3) use of generic surveys that do not
acknowledge adolescent cancer survivors’ special needs and
concerns; (4) examination of a limited number of HRQL domains;
(5) small sample size; or (6) lack of representative comparison
groups. As part of a Children’s Oncology Group (COG) research
initiative to characterize the Minneapolis-Manchester Quality of
Life (MMQL) Adolescent Form, a validated, comprehensive,
multidimensional self-report instrument [39], data were collected
from 362 adolescents with a history of cancer, and 134 healthy
adolescents with no prior history of cancer. Utilizing the MMQL
data we report the risk estimates for poor overall and domain-
specific HRQL for on- and off-therapy adolescent cancer patients
relative to healthy adolescents.
METHODS
Twenty institutions within the United States contributed patients
to this study (see Appendix). The institutional review boards at the
participating institutions approved the research protocol in
compliance with the Declaration of Helsinki. Patients and their
legal guardians signed informed consents approved by each local
Institutional Review Board. Eligibility requirements included (a)
age between 13 and 20 years; (b) ability to read English at the sixth
grade reading level; and (c) one of the following medical histories:
(i) diagnosis of cancer, and receiving treatment for two or more
months prior to study participation (on-therapy patients); (ii) past
history of cancer, with no treatment for at least 1 year prior to study
participation (off-therapy survivors); (iii) no history of cancer or
major chronic illness (healthy controls). Primary physicians gave
permission to contact patients and their parents. In all cases, the
initial contact with the study subject was made through the parents.
For on- and off-therapy patients, participating institutions attempted
to enroll consecutive patients seen at the treating institution.
Nonetheless, study participants represent a convenience sample,
since institutions did not systematically quantify the eligible patient
population. Healthy individuals from throughout the United States
were identified as part of control selection for another COG study,
using a method of random-digit dialing [40]. The healthy controls
for the current study originate from households that were contacted,
Background. Improved survival after childhood cancer hasshifted the focus to health-related quality of life (HRQL)—anunderstudied problem, especially among adolescents. Procedure.We assessed HRQL among adolescents utilizing a validated self-report tool, the Minneapolis-Manchester Quality of Life (MMQL)Adolescent Form, consisting of 46 items comprising seven domains:physical, cognitive, psychological and social functioning, bodyimage, intimate relations, and outlook on life, and computed anoverall QoL score. The MMQL Adolescent Form was administered to226 adolescent survivors of childhood cancer a median of 7.8 yearsfrom diagnosis (off therapy—median age: 16.2 years), 136 adoles-cent cancer patients undergoing therapy (on therapy—median age:16.4 years), and 134 healthy adolescents (controls—median age:15.5 years). Primary diagnoses included leukemia (46%), lymphoma
(26%), brain tumors (5%), and other solid tumors (23%). Results.Compared to healthy controls, on-therapy patients were at increasedrisk for reporting poor overall QoL [Odds Ratio (OR)¼3.3,P¼0.002)] and poor physical functioning (OR¼ 11.8, P<0.001).Off-therapy survivors did not differ significantly from healthycontrols for overall QoL (OR¼1.6, P¼ 0.5) or any HRQL domains.Female patients, both on- and off-therapy, were more likely to reportpoorer overall QoL, physical, psychological and cognitive function-ing as well as poorer body image when compared with male patients.Conclusions. While adolescent cancer patients undergoing activetherapy report poor physical functioning, there is no evidence oflong-term QoL sequelae. Pediatr Blood Cancer 2007;48:678–686.� 2006 Wiley-Liss, Inc.
Key words: adolescents; cancer survivors; QoL
� 2006 Wiley-Liss, Inc.DOI 10.1002/pbc.20874
——————1Division of Population Sciences, City of Hope National Medical
Center, Duarte, California; 2Department of Epidemiology and Cancer
Control, St. Jude Children’s Research Hospital, Memphis, Tennessee;3Department of Child Health, Llandough Hospital, South Glamorgan,
UK; 4Division of Health Services Research and Policy, University of
Minnesota School of Public Health, Minneapolis, Minnesota;5Division of Pediatric Oncology, Children’s Hospital of Oakland,
Oakland, California; 6Division of Pediatric Oncology, Fred Hutchinson
Cancer Research Center, Seattle, WA.
Grant sponsor: National Cancer Institute; Grant number: U10
CA098543.
*Correspondence to: Smita Bhatia, Children’s Oncology Group, PO
Box 60012, Arcadia, CA 91006-6012. E-mail: [email protected]
Received 6 January 2006; Accepted 20 March 2006
and determined to have children between the ages of 13 and
20 years, but who were not found to be appropriate age- and gender-
match for the original COG case control study. The MMQL
questionnaire was mailed to the healthy control participants. The
importance of self-report was emphasized in the instructions given
to the study participants.
Using a cross-sectional study design, we administered the
MMQL Adolescent Form to eligible subjects who had consented to
participate. Patients completed a self-administered questionnaire in
the clinic or a questionnaire was mailed to them, again emphasizing
the importance of self-report in the instructions provided to the
study participants. The MMQL Adolescent Form is a self-report
questionnaire whose sensitivity, validity, internal consistency, and
test-retest reliability have been demonstrated previously [39].
Specifically, construct validity of the MMQL instrument was
assessed using the Child Health Questionnaire Form (CHQ-CF-87),
and high correlation demonstrated between the MMQL scales and
similar CHQ domains. The MMQL Adolescent Form, specific for
adolescent survivors of childhood cancer, defines HRQL on an
individual’s physical, social, psychological, and cognitive function-
ing, as well as overall outlook on life. Higher scores on the MMQL
indicate minimal negative impact and thus greater HRQL.
Specifically, the MMQL Adolescent Form does not contain any
questions pertaining to the cancer therapy or the acute toxicities of
cancer therapy. Thus, while the instrument has been developed
specifically for cancer survivors, it is generic enough to be
administered in its entirety to a healthy control population (see
Table I for the items in the questionnaire). The MMQL Adolescent
Form uses 46 items, comprising seven quality-of-life (QoL)
domains—physical functioning, cognitive functioning, psycholo-
gical functioning, body image, social functioning, intimate
relations, and outlook on life—to explore the multifaceted aspects
of adolescents (Table I). Scoring on the MMQL Adolescent Form
ranges from one to five, with five indicative of maximal HRQL. We
computed an overall QoL score by summing the scores for all items,
and dividing the sum by the number of items in the questionnaire.
We report results of analyses comparing on-therapy patients to
healthy controls, off-therapy cancer survivors to healthy controls,
and within group comparisons for on- and off-therapy patients.
Comparison of means between the various groups was conducted
using analysis of variance (ANOVA). Clinically significant
difference in scores was defined as a difference in mean scores of
the two groups of interest equaling half a standard deviation of the
mean of the controls. In analyses using a dichotomous QoL variable,
poor QoL was defined as a score below the 25th percentile among
the gender-specific healthy control group. To calculate OR and
corresponding 95% confidence intervals (CI), as risk estimates for
poor HRQL for cancer patients when compared with healthy
controls, we conducted stratified analyses using logistic regression
for poor overall QoL and HRQL in the seven domains. Thus, we
stratified study participants by gender, age at completion of
questionnaire (13–14 years, 15–17 years, or 18–20 years), and
ethnicity (whites vs. non-whites), and examined the risk of poor
HRQL for patients with cancer (on- or off-therapy) when compared
with healthy controls. Additional multiple regression analyses,
restricted to cancer patients only, were conducted to identify sub-
populations at increased risk for poor HRQL. Variables in the model
included (i) primary diagnosis (leukemia, lymphoma, brain tumors,
and other solid cancers); (ii) age at completion of survey; (iii)
gender; (iv) race/ethnicity; and (v) time since diagnosis for cancer
survivor analysis (less than or greater than 7 years). Seven years
from the date of diagnosis was selected for two reasons: (i) the
cohort of survivors had been followed for a median of 7.8 years; (ii)
childhood cancer treatment averages 2 years, and 7 years from
diagnosis would offer a 5-year post-treatment period for early versus
late issues—thus allowing patients to achieve a relatively stable
Pediatr Blood Cancer DOI 10.1002/pbc
TABLE I. Minneapolis-Manchester Quality of Life ToolAdolescent Form
Physical functioning
Unable to do many activities because of health
Have a lot of energy for running or sports
Unable to do many activities because of arms or legs
Unable to keep up with others of their age when taking part in sports
Feel strong and healthy
Have a lot of energy
Prefer to walk rather than take part in games and sports
Feeling tired during the day
Need time during the day to rest
Psychological functioning
Worried about dying
Feeling frightened
Worried about things in general
Worried about their health
Feeling sad
Feeling nervous or anxious
Feeling inferior to most people
Feeling lonely
Feeling angry
Social functioning
Having similar hobbies to other people their age
Getting along with people their age
Having a lot in common with their friends
Have many close friends
Being together with others gives them a good feeling
Believing that people like to be with them
Cognitive functioning
Difficulty in concentrating at work or school
Difficulty with school work compared with others in class
Needing more help with school work than others in class
Difficulty in concentrating at school
Difficulty in remembering things at school/college
Homework or study is hard for them
Difficulty with reading or writing
Difficulty with math or calculations
Difficulty with concentrating at other times (compute/games/playing
cards/reading)
Body image
Liking their body the way it is
Being happy about the way they look
Feelings about their body development
Feeling uncomfortable about the way their body is developing
Being satisfied about their weight
Feeling that others think their body to be poorly developed
Outlook on life
Satisfied with the current life situation
Happy with the way things are
Happy with life in general
Intimate relations
Difficulty in making friends
Feel left out in groups of people their age
Feel confident when they are with people of opposite sex
Find it easy to have an intimate relationship
QoL in Adolescent Cancer Patients 679
state post-treatment. Participants with leukemia included patients
with either acute lymphoblastic leukemia (ALL) or acute myeloid
leukemia. Similarly, participants with lymphoma included those
with Hodgkin disease or non-Hodgkin lymphoma. The decision to
consolidate primary diagnoses into the broad categories of leukemia
and lymphoma was driven primarily by the smaller numbers of
patients with each diagnosis. Statistical analyses were conducted
using the Epilog Plus, Windows alpha version 1.00 [41]. All
reportedP-values are two-tailed and significance was set at less than
0.05.
RESULTS
Demographic and clinical characteristics for the 496 participat-
ing study subjects are provided in Table II. The median age at
diagnosis for the on-therapy cancer patients was 15.4 years, and the
median time between diagnosis and study participation was
0.6 years. On-therapy cancer patients were more likely to be older
(P¼ 0.01) and were less likely to be white (P< 0.001) than the
healthy controls. For off-therapy survivors the median age at cancer
diagnosis was 8.4 years, the median interval between diagnosis and
MMQL completion was 7.8 years, and the median age at study
participation was 16.2 years. The off-therapy cancer survivors were
more likely to be older (P¼ 0.01), and less likely to be white
(P< 0.001) compared to the healthy controls.
Summarized in Table III are the mean scores of overall QoL
reported by each group. The mean overall score for on-therapy
patients, off-therapy survivors, and healthy controls, were 3.77,
3.96, and 4.05, respectively. While on-therapy patients scored
significantly lower than healthy controls (P< 0.001), the off-
therapy survivors did not (P¼ 0.1). Mean overall QoL scores for on-
and off-therapy female patients (P< 0.001), patient participants
between the ages of 18 and 20 years (P¼ 0.01), leukemia patients
(P< 0.001), and brain tumor patients (P¼ 0.01) were significantly
lower than healthy controls.
Comparison of Cancer Patients to Healthy Controls
Poor QoL was defined as a score below the 25th percentile in the
gender-specific healthy controls. Compared to healthy controls, on-
therapy cancer patients were at increased risk for poor overall QoL
(OR¼ 3.3, 95%CI 1.3–8.2, P¼ 0.002) and poor physical function-
ing (OR¼ 11.8, 95%CI 4.4–31.4, P< 0.001). In contrast, compar-
isons between off-therapy survivors and healthy controls did not
produce significantly elevated risk estimates for overall QoL
(OR¼ 1.6, P¼ 0.5), or within any of the seven HRQL domains
(Table IV).
On-therapy patients: stratified analyses. Comparisons were
made between on-therapy cancer patients and healthy controls,
stratifying on gender, age at participation, and race. On-therapy
male and female patients reported poorer overall QoL (males:
OR¼ 2.3, P¼ 0.03; females: OR¼ 3.5, P¼ 0.001) and physical
functioning (males: OR¼ 7.8, P< 0.001; females: OR¼ 13.4,
P< 0.001) when compared with male and female healthy controls,
respectively. On-therapy female patients also reported poorer
psychological functioning (OR¼ 2.5, P¼ 0.02), cognitive func-
tioning (OR¼ 2.8, P¼ 0.007), and poorer outlook on life
(OR¼ 4.2, P< 0.001) when compared with female healthy
controls. On-therapy cancer patients reported poorer overall QoL
as well as poorer physical functioning across all age categories,
when compared with healthy controls. Furthermore, older on-
therapy cancer patients (18–20 years) reported poorer outlook on
life (OR¼ 6.5, P< 0.001) when compared with healthy controls in
the same age group, while white cancer patients reported poorer
Pediatr Blood Cancer DOI 10.1002/pbc
TABLE II. Characteristics of the Study Participants
Variables Off-therapy survivors (n¼ 226) Patients on therapy (n¼ 136) Healthy controls (n¼ 134)
Age at diagnosis
Median (range) 8.4 (0.0–19.0) 15.4 (5.3–20.0) —
Time since diagnosis
Median (range) 7.8 (1.3–19.8) 0.6 (0.2–9.7) —
Age at study participation
Median (range) 16.2 (13.0–20.0) 16.4 (13.0–20.8) 15.5 (13.1–20.6)
Gender
Male 119 (53%) 82 (60%) 60 (45%)
Female 107 (47%) 54 (40%) 74 (55%)
Ethnicity
White 145 (64%) 98 (72%) 120 (90%)
Hispanic 36 (16%) 14 (7%) 2 (1.5%)
Asian 10 (4%) 6 (4%) 0 (0%)
Black 15 (7%) 8 (6%) 7 (5%)
Native American 1 (<1%) 1 (<1%) 0 (0%)
Other 19 (8%) 8 (6%) 2 (1.5%)
Unknown 0 (0%) 1 (<1%) 2 (1.5%)
Primary diagnosis
Leukemiaa 100 (44%) 62 (46%) —
Lymphomab 42 (19%) 36 (26%) —
Brain tumors 10 (4%) 7 (5%) —
Other solid tumors 74 (33%) 31 (23%) —
aLeukemia includes patients with acute lymphoblastic leukemia and acute myeloid leukemia; bLymphoma includes patients with Hodgkin disease
and non-Hodgkin lymphoma.
680 Wu et al.
overall QoL (OR¼ 2.5,P¼ 0.002), physical functioning (OR¼ 7.9,
P< 0.001), and poorer outlook on life (OR¼ 2.3, P¼ 0.004) when
compared with white healthy controls (Table IV).
Off-therapy cancer survivors: stratified analyses. Similar
comparisons for off-therapy cancer survivors revealed that female
off-therapy survivors were at risk for poorer physical functioning
(OR¼ 2.8, P¼ 0.003) when compared with gender-matched
healthy controls. Female, but not male, off-therapy cancer survivors
were at risk for poorer cognitive functioning (OR¼ 2.1, P¼ 0.02),
social functioning (OR¼ 2.1, P¼ 0.02) and intimate relations
(OR¼ 2.0, P¼ 0.03) when compared with healthy controls of the
same gender. Stratification by age revealed that older cancer
survivors were at risk for reporting poorer physical functioning
when compared with age-matched healthy controls (15–17 years:
OR¼ 3.9, P¼ 0.001; 18–20 years: OR¼ 3.0, P¼ 0.02). Further-
more, off-therapy cancer survivors between the ages of 18 and
20 years were at risk for reporting poorer cognitive functioning
(OR¼ 3.2, P¼ 0.02) and social functioning (OR¼ 3.4, P¼ 0.02),
when compared with age-matched healthy controls (Table IV).
Predictors of Risk for Poor HRQL AmongCancer Patients
On-therapy patients. Female patients on therapy were at a
significantly higher risk of reporting poor overall QoL (OR¼ 2.6,
P¼ 0.02), when compared with male patients on therapy. On the
other hand, primary diagnosis of lymphoma (OR¼ 0.3, P¼ 0.01)
and solid tumors (OR¼ 0.4, P¼ 0.04) was associated with a
significantly reduced risk of reporting poor overall QoL, when
compared with leukemia. Female gender (referent group male
patients on therapy) was a significant risk factor for poorer physical
functioning (OR¼ 3.7, P¼ 0.004), psychological functioning
(OR¼ 3.5, P¼ 0.005), cognitive functioning (OR¼ 2.1,
P¼ 0.06), body image (OR¼ 2.1, P¼ 0.05), and outlook on life
(OR¼ 2.5, P¼ 0.02). Older age at study participation was
associated with significantly elevated risk estimates for poorer
outlook on life (18–20 years: OR¼ 3.5, P¼ 0.02), when compared
patients on therapy between the ages of 13 and 14 years (Table V).
Off-therapy patients. Risk of poor overall QoL was signifi-
cantly associated with female gender (OR¼ 2.3,P¼ 0.01—referent
group male patients off therapy for cancer). Time since diagnosis
>7 years (OR¼ 0.5, P¼ 0.05) when compared with time since
diagnosis�7 years, and primary diagnosis of lymphoma (OR¼ 0.3,
P¼ 0.04) and solid tumors (OR¼ 0.4, P¼ 0.03) when compared
with a diagnosis of leukemia, were associated with reduced risk of
reporting poor overall QoL. Within the HRQL domains, female
gender was significantly associated with poorer physical function-
ing (OR¼ 3.9,P< 0.001—referent group, male patients off therapy
for cancer), psychological functioning (OR¼ 2.2, P¼ 0.003), and
body image (OR¼ 2.1, P¼ 0.01). Older age at study participation
was associated with an increased risk for poorer HRQL in several
domains including physical functioning (OR¼ 3.4, P¼ 0.04),
psychological functioning, (OR¼ 2.5, P¼ 0.02), and social func-
tioning (OR¼ 2.1, P¼ 0.04), as seen in on-therapy patients. Non-
white race was significantly associated with an increased risk for
poor physical function (OR¼ 2.2, P¼ 0.04) and body image
(OR¼ 2.1, P¼ 0.03) (Table V).
DISCUSSION
Increasing attention is being directed toward HRQL among
pediatric cancer patients. This is likely the result of the marked
improvement in survival in this group of cancer patients, with
shifting attention to issues of survivorship and QoL. This study has
demonstrated that the MMQL Adolescent Form discriminates
between different populations in expected ways, indicating that this
instrument can be used to measure HRQL in this population.
Although this study indicates that the long-term impact of cancer
and its treatment on adolescent HRQL is modest, HRQL should be
used in estimating therapeutic efficacy and cost effectiveness in
adolescents with cancer.
Pediatr Blood Cancer DOI 10.1002/pbc
TABLE III. Mean (Standard Deviation) Overall Quality of Life Scores of Adolescent CancerPatients On-Therapy, Off-Therapy Cancer Survivors, and Healthy Controls
Characteristic
Overall Quality of Life
Cancer patients on therapy Cancer survivor Healthy control P-value
All subjects 3.77 (0.53) 3.96 (0.56) 4.05 (0.40) <0.001
Sex
Female 3.62 (0.49) 3.82 (0.60) 4.01 (0.39) <0.001
Male 3.88 (0.53) 4.08 (0.49) 4.09 (0.42) 0.009
Diagnosis
Leukemia 3.73 (0.49) 3.90 (0.58) 4.05 (0.40) <0.001
Lymphoma 3.91 (0.52) 4.03 (0.51) 4.05 (0.40) 0.3
Brain tumors 3.73 (0.28) 3.73 (0.46) 4.05 (0.40) 0.01
Solid tumors 3.72 (0.63) 4.02 (0.56) 4.05 (0.40) 0.004
Age at study
13–14 years 3.87 (0.41) 4.04 (0.57) 4.04 (0.41) 0.3
15–17 years 3.79 (0.54) 4.01 (0.55) 4.07 (0.36) 0.003
18–20 years 3.65 (0.59) 3.79 (0.53) 4.04 (0.39) 0.01
Race
White 3.79 (0.52) 4.00 (0.56) 4.05 (0.41) <0.001
Non-white 3.72 (0.55) 3.87 (0.55) 3.96 (0.39) 0.3
Comparison of means between the various groups was conducted using analysis of variance (ANOVA).
QoL in Adolescent Cancer Patients 681
Pediatr Blood Cancer DOI 10.1002/pbc
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–3
.9)
P-v
alu
e0
.10
.00
30
.50
.02
0.0
20
.80
.30
.03
Can
cer
pat
ien
tso
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her
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ith
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ols
,st
rati
fied
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age
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ud
yp
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cip
atio
n
13
–1
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ears
2.6
(1.0
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6.1
(2.4
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5.5
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.9(0
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2.1
)1
.1(0
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3.6
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.8(0
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2.1
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.9(0
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4.8
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.8(0
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1.9
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P-v
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e0
.05
<0
.00
10
.70
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.70
.10
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–1
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ears
2.5
(1.2
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12
.3(5
.2–
29
.2)
1.7
(0.8
–3
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1.1
(0.7
–3
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1.8
(0.8
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1.1
(0.5
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1.9
(0.9
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0.7
(0.2
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P-v
alu
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.02
<0
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10
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.20
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.08
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18
–2
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ears
3.4
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0)
8.6
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6.7
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1.2
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2.2
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6.5
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10
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13
–1
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ears
1.3
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0.9
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0.5
(0.2
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1.8
(0.9
–3
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1.2
(0.6
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0.7
(0.3
–1
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1.0
(0.5
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1.1
(0.6
–2
.3)
P-v
alu
e0
.50
.90
.04
0.1
0.6
0.4
0.9
0.7
15
–1
7y
ears
1.5
(0.7
–3
.2)
3.9
(1.7
–8
.9)
1.2
(0.6
–2
.4)
1.2
(0.6
–2
.3)
1.5
(0.7
–3
.4)
0.9
(0.4
–1
.7)
0.9
(0.5
–2
.0)
2.3
(1.0
–5
.2)
P-v
alu
e0
.30
.00
10
.70
.70
.30
.70
.90
.04
18
–2
0y
ears
1.9
(0.8
–5
.1)
3.0
(1.2
–7
.6)
1.3
(0.5
–3
.1)
3.2
(1.3
–8
.1)
3.4
(1.2
–9
.3)
0.9
(0.3
–2
.2)
1.5
(0.6
–3
.7)
1.1
(0.4
–2
.7)
P-v
alu
e0
.20
.02
0.8
0.0
20
.02
0.8
0.4
0.9
To
calc
ula
teO
Ran
dco
rres
po
nd
ing
95
%C
I,as
risk
esti
mat
esfo
rp
oo
rH
RQ
Llo
gis
tic
reg
ress
ion
anal
ysi
sw
asu
sed
for
po
or
over
all
Qo
L,an
dH
RQ
Lin
the
seven
do
mai
ns.
682 Wu et al.
Pediatr Blood Cancer DOI 10.1002/pbc
TA
BL
EV
.O
dd
sR
ati
os
an
d9
5%
CI
of
Ris
kF
act
ors
Ass
oci
ate
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ith
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or
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QL
—W
ith
inS
urv
ivo
rC
om
pa
riso
ns
Var
iab
les
Over
all
Qo
L
Ph
ysi
cal
fun
ctio
nin
g
Psy
cho
log
ical
fun
ctio
nin
g
Co
gn
itiv
e
fun
ctio
nin
g
So
cial
fun
ctio
nin
gB
od
yim
age
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tlo
ok
on
life
Inti
mat
e
rela
tio
ns
Sex
—o
n-t
her
apy
pat
ien
tso
nly
Mal
es1
.01
.01
.01
.01
.01
.01
.01
.0
Fem
ales
2.6
(1.2
–5
.9)
3.7
(1.5
–8
.9)
3.5
(1.6
–7
.7)
2.1
(1.0
–4
.3)
0.9
(0.4
–2
.2)
2.1
(1.0
–4
.6)
2.5
(1.2
–5
.5)
1.8
(0.8
–4
.0)
P-v
alu
e0
.02
0.0
04
0.0
05
0.0
60
.80
.05
0.0
20
.2
Sex
—o
ff-t
her
apy
surv
ivo
rso
nly
Mal
es1
.01
.01
.01
.01
.01
.01
.01
.0
Fem
ales
2.3
(1.2
–4
.2)
3.9
(2.1
–7
.3)
2.2
(1.2
–4
.0)
1.7
(0.9
–2
.9)
0.9
(0.5
–1
.5)
2.1
(1.1
–3
.8)
1.7
(0.9
–3
.1)
1.5
(0.8
–2
.6)
P-v
alu
e0
.01
<0
.00
10
.00
30
.07
0.9
0.0
10
.07
0.8
Ag
eat
stu
dy
par
tici
pat
ion
—o
n-t
her
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can
cer
pat
ien
tso
nly
13
–1
4y
ears
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
15
–1
7y
ears
1.2
(0.5
–3
.2)
1.5
(0.6
–3
.8)
1.5
(0.6
–3
.8)
1.9
(0.8
–4
.9)
3.0
(0.9
–1
0.1
)1
.6(0
.6–
4.2
)1
.3(0
.5–
3.1
)2
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.9–
6.4
)
P-v
alu
e0
.70
.40
.30
.20
.07
0.3
0.6
0.0
9
18
–2
0y
ears
1.5
(0.5
–4
.5)
1.3
(0.4
–4
.2)
2.7
(0.9
–7
.9)
2.5
(0.9
–7
.2)
1.9
(0.5
–7
.7)
2.7
(0.9
–7
.9)
3.5
(1.2
–1
0.3
)0
.7(0
.2–
2.3
)
P-v
alu
e0
.50
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.06
0.0
90
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0.0
20
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—o
ff-t
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on
ly
13
–1
4y
ears
1.0
1.0
1.0
1.0
1.0
1.0
1.0
1.0
15
–1
7y
ears
1.5
(0.7
–3
.3)
3.2
(1.5
–7
.1)
2.0
(0.9
–4
.3)
1.2
(0.6
–2
.3)
0.9
(0.5
–2
.1)
1.8
(0.8
–3
.8)
1.3
(0.6
–2
.6)
0.9
(0.5
–1
.8)
P-v
alu
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.40
.03
0.0
70
.60
.90
.80
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.9
18
–2
0y
ears
1.7
(0.8
–3
.7)
3.4
(1.5
–7
.7)
2.5
(1.2
–5
.4)
1.7
(0.8
–3
.4)
2.1
(1.0
–4
.4)
1.3
(0.6
–2
.7)
1.5
(0.7
–3
.1)
0.9
(0.4
–1
.8)
P-v
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0.0
20
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0.8
0.6
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(0.2
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.1)
1.2
(0.5
–2
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0.4
(0.1
–1
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0.5
(0.2
–1
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1.3
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–3
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0.1
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.8(0
.7–
20
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–1
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–4
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0.4
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–1
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0.7
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mp
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0.7
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–1
.6)
0.5
(0.2
–1
.1)
0.4
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–0
.9)
0.7
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–1
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0.4
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–0
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0.0
30
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40
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.9)
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(0.8
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0.7
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0.9
0.0
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0.5
(0.3
–0
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(0.3
–1
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(0.3
–1
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0.7
(0.3
–1
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0.8
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0.6
0.0
50
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0.0
50
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To
calc
ula
teO
Ran
dco
rres
po
nd
ing
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%C
I,as
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esti
mat
esfo
rp
oo
rH
RQ
Llo
gis
tic
reg
ress
ion
anal
ysi
sw
asu
sed
for
po
or
over
all
Qo
L,
and
HR
QL
inth
ese
ven
do
mai
ns.
QoL in Adolescent Cancer Patients 683
This study demonstrates that cancer patients on active therapy
were at significantly increased risk for poor overall QoL and
physical functioning when compared with healthy controls. In
contrast, HRQL of off-therapy cancer survivors did not differ
significantly from that of the healthy population overall, or in any of
the seven domains examined. Our study confirms previous reports
that indicate that after completion of therapy, cancer survivors seem
generally to be well adjusted, and that most long-term survivors
function well psychologically and do not have significantly more
emotional problems than controls—thus indicating an enhanced
appreciation of life after the cancer experience, despite adverse
effects on actual health status [5,15,30,31,35,42,43].
In the present study, on-therapy female patients were more likely
to report poor psychological functioning, cognitive functioning, and
poor outlook on life when compared with female healthy controls,
whereas male patients were not at increased risk for reporting poor
HRQL in these domains. Furthermore, off-therapy female survivors
were more likely to report poor physical functioning, cognitive
functioning, and intimate relations, when compared with female
healthy controls, whereas male off-therapy survivors reported only
poor physical functioning when compared with male healthy
controls. Several investigators have reported the gender differences
in HRQL among childhood cancer survivors [37], with an increased
tendency among female survivors of ALL to experience anxiety in
stressful situations [30] and mood disturbances [25]. A recent study
found female gender and socioeconomic variables predicted for
depression and somatic distress in lymphoma survivors [37]. Barr
et al. [44] examined the health status and HRQL of adolescent
survivors of childhood cancer (defining adolescence as ages 15–
19 years) and observed that the overall burden of morbidity is
greater in females than males, notably with respect to emotion,
cognition, and pain. Women in the general population are more
likely to be identified with depression than men [45–47]. The
emerging gender difference in depressed mood and depressive
disorders reportedly appears after the age of 13 years or mid-
puberty. Ruminative response style has been supported to be a
possible explanation. Lastly, girls identify more strongly with a
feminine stereotype of needing to appear thin and consequently
become more dissatisfied with their body shape and physical
appearance, which in turn is associated with increased depression
[45,48]. The reasons behind the observed gender differences in the
current study could be a reflection of gender-based differences in
perception of HRQL, or they could be a function of the sensitivity of
the measures with a bias in the direction of females. Nonetheless,
female cancer patients both on- and off-therapy are a vulnerable sub-
group and future research need to focus on the reasons behind the
gender-based differences in HRQL.
Two studies have examined HRQL in multiethnic samples of
adults, with conflicting results [49,50]. Examination of HRQL
concerns among the cancer survivors in the current study
demonstrated that non-whites were more likely to report poorer
physical and psychological functioning and poorer body image. All
non-whites were grouped together in this analysis, due to small
numbers in each ethnic/racial category other than the whites, thus
making it difficult to identify specific vulnerable populations. The
results indicate the need for future QoL studies focusing on ethnic
and racial sub-groups.
There are several limitations with this study, which need to be
considered when interpreting the results. Our investigation is based
upon a convenience sample of patients, and although an attempt was
made to enroll all eligible subjects at each participating institution,
the clinical characteristics of the potentially eligible subjects who
were not recruited in this study are not available. Brain tumor
survivors that have been described previously to report poor HRQL
[51] are underrepresented in this study population. Another
limitation was the absence of detailed information regarding
therapeutic exposures, which could not be assessed as potential
risk factors for poor HRQL. Due to limitations in sample size, ALL
and acute myeloid leukemia were analyzed together as ‘‘leukemia.’’
Similarly, small sample size did not allow us to examine the HRQL
of patients with Hodgkin disease and non-Hodgkin lymphoma
separately. Details regarding medical and functional late effects
were not available, and could not be assessed for their impact on the
reported HRQL in this population. Healthy control study partici-
pants were underrepresented in racial and ethnic minority groups.
Lastly, the study design was cross-sectional, which does not permit
assessment of potential changes in HRQL with time from diagnosis.
However, the major strengths of this study are the use of a
validated, comprehensive, multidimensional self-report instrument
developed to assess HRQL in a diverse cohort of adolescents with
cancer. HRQL in adolescent cancer patients is a largely under-
studied field. Few investigations have focused exclusively on
adolescents; instead many have incorporated them into a larger
study either with adults [12,18,35,37,52] or with children [9,52,53].
Furthermore, because most of the earlier works on adolescent
HRQL collected data through interviews [26], had small sample
sizes (less than 50 patients) [6,9,26,52] or lacked appropriate
controls [26], conclusions drawn from those investigations are
difficult to interpret.
Thus, in this study, we have demonstrated that although
adolescent cancer patients undergoing active therapy were sig-
nificantly more likely to report poor physical functioning and
overall QoL, there was no difference in the overall QoL between
adolescent off-therapy survivors of childhood cancer and the
healthy population. Obviously, the off-therapy adolescent survivors
differ from the on-therapy adolescent patients with regard to the age
at which their cancer was diagnosed and treated. This study does
demonstrate that survivors further out from diagnosis are less likely
to report poor overall QoL. Thus, it will be of interest to determine
the QoL of patients diagnosed and treated during adolescence after
they complete therapy and become young adults, to determine if the
risk for poor QoL decreases with time. Among the cancer patients,
certain vulnerable sub-populations were identified. These include
females, older study participants, and non-whites, who reported a
more negative perception of physical, psychological, and social
functioning and body image. Future research efforts need to be
directed at investigating the impact of therapeutic exposures and
long-term sequelae on HRQL and its intermediate factors, such as
coping, adaptation, social relationships, and family variables.
Future research also needs to elaborate on the reason(s) for the
observed differences in HRQL based on gender, race, and ethnicity
in order to develop interventions in order to reduce psychological
morbidity and improve HRQL.
APPENDIX I PARTICIPATING INSTITUTIONS
1. City of Hope National Medical Center, Duarte
2. Children’s Hospital of Oakland
3. Children’s Hospital of Philadelphia (CHOP)
4. Minneapolis Children’s Hospital and Medical Clinics
Pediatr Blood Cancer DOI 10.1002/pbc
684 Wu et al.
5. Children’s Hospital and Clinics, St. Paul
6. Memorial Sloan Kettering Cancer Center (MSK), New York
7. Children’s Hospital and Regional Medical Center, Seattle
8. Marshfield Clinic
9. North Shore University Hospital (Cornell University Medical
Center), Manhasset
10. DeVos Children’s Hospital, Grand Rapids
11. University of Illinois, Chicago
12. St. John’s Hospital and Medical Center, Gross Pointe Woods
13. The Cleveland Clinic Foundation
14. St. Vincent Hospital, Green Bay
15. Miami Children’s Hospital
16. University of Mississippi Medical Center Children’s Hospital,
Jackson
17. Hackensack University Medical Center
18. Kalamazoo Center for Medical Studies
19. University of Missouri, Columbia
20. Hurley Medical Center, Flint
REFERENCES
1. Ries L, Kosary C, Hankey B, et al. SEER cancer statistics review
1996. Bethesda, MD: National Cancer Institute; 1999.
2. Fritz G, Williams J. Issues of adolescent development for survivors
of childhood cancer. J Am Acad Child Adolesc Psychiatry 1988;
27:712–715.
3. Madan-Swain A, Brown R, Sexon S, et al. Adolescent cancer
survivors. Psychosocial and familial adaptation. Psychosomatics
1994;35:453–459.
4. Zeltzer L. Cancer in adolescents and young adults psychosocial
aspects. Long-term survivors. Cancer 1993;71:3463–3468.
5. Elkin T, Phipps S, Mulhern R, et al. Psychological functioning of
adolescent and young adult survivors of pediatric malignancy. Med
Pediatr Oncol 1997;29:582–588.
6. Bauld C, Anderson V, Arnold J. Psychosocial aspects of adol-
escent cancer survival. J Paediatr Child Health 1998;34:120–126.
7. Noll R, Bukowski W, Davies W, et al. Adjustment in the peer
system of adolescents with cancer a two-year study. J Pediatr
Psychol 1993;18:351–364.
8. Zebrack BJ, Zeltzer LK. Living beyond the sword of Damocles:
Surviving childhood cancer. Expert Rev Anticancer Ther 2001;1:
163–164.
9. Kanabar D, Attard-Montalto S, Saha V, et al. Quality of life in
survivors of childhood cancer after megatherapy with autologous
bone marrow rescue. Pediatr Hematol Oncol 1995;12:29–36.
10. Feeny D, Leiper A, Barr R, et al. The comprehensive assessment of
health status in survivors of childhood cancer: Application to high-
risk acute lymphoblastic leukaemia. Br J Cancer 1993;67:1047–
1052.
11. Marin J. Psychological aspect of leukaemia and other cancers
during childhood. Monogr Ser Eur Organ Res Treat Cancer 1992;
17:135–139.
12. Apajasalo M, Sintonen H, Siimes M, et al. Health-related quality of
life of adults surviving malignancies in childhood. Eur J Cancer
1996;32A:1354–1358.
13. Barr R, Furlong W, Dawson S, et al. An assessment of global health
status in survivors of acute lymphoblastic leukemia in childhood.
Am J Pediatr Hematol Oncol 1993;15:284–290.
14. Mostow E, Byrne J, Connelly R, et al. Quality of life in long-term
survivors of CNS tumors of childhood and adolescence. J Clin
Oncol 1991;9:592–599.
15. Dolgin MJ, Somer E, Buchvald E, et al. Quality of life in adult
survivors of childhood cancer. Soc Work Health Care 1999;28:
31–43.
16. Lansky S, List M, Ritter-Sterr C. Psychosocial consequences of
cure. Cancer 1986;58:529–533.
17. Teta MJ, DelPo MC, Kasl SV, et al. Psychosocial consequences of
childhood and adolescent cancer survival. J Chronic Dis 1986;39:
751–759.
18. Makipernaa A. Long-term quality of life and psychosocial coping
after treatment of solid tumours in childhood. A population-based
study of 94 patients 11-28 years after their diagnosis. Acta Paediatr
Scand 1989;78:728–735.
19. Fobair P, Hoppe R, Bloom J, et al. Psychosocial problems
among survivors of Hodgkin’s disease. J Clin Oncol 1986;4:
805–814.
20. Fobair P, Mages N. Psychosocial morbidity among cancer patient
survivors. In: Ahmed P, editor. Living and dying with cancer. New
York, NY: Elsevier; 1981. pp 285–308.
21. Jannoun L, Chessells J. Long-term psychological effects of
childhood leukemia and its treatment. Pediatr Hematol Oncol
1987;4:293–308.
22. Meeske KA, Ruccione K, Globe DR, et al. Posttraumatic stress,
quality of life, and psychological distress in young adult survivors
of childhood cancer. Oncol Nurs Forum 2001;28:481–489.
23. Koocher GP, O’Malley JE, Gogan JL, et al. Psychological
adjustment among pediatric cancer survivors. J Child Psychol
and Psychiatry 1980;21:163–173.
24. Wasserman AL, Thompson EI, Wilimas JA, et al. The psycholo-
gical status of survivors of childhood/adolescent Hodgkin’s
disease. Am J Dis Child 1987;141:626–631.
25. 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;15:547–556.
26. Boman K, Bodegard G. Psychological long-term coping with
experience of disease and treatment in childhood cancer survivors.
Acta Paediatr Scand 1997;86:1026–1027.
27. Greenberg HS, Kazak AE, Meadows AT. Psychologic functioning
in 8- to 16-year-old cancer survivors and their parents. J Pediatr
1989;114:488–493.
28. Mulhern RK, Wasserman AL, Friedman AG, et al. Social
competence and behavioral adjustment of children who are long-
term survivors of cancer. Pediatrics 1989;83:18–25.
29. Sanger MS, Copeland DR, Davidson ER. Psychosocial adjustment
among pediatric cancer patients: A multidimensional assessment.
J Pediatr Psychol 1991;16:463–474.
30. Zevon MA, Neubauer NA, Green DM. Adjustment and vocational
satisfaction of patients treated during childhood or adolescence for
acute lymphoblastic leukemia. Am J Pediatr Hematol Oncol
1990;12:454–461.
31. Gray RE, Doan BD, Shermer P, et al. Psychologic adaptation of
survivors of childhood cancer. Cancer 1992;70:2713–2721.
32. Cella D, Tross S. Psychological adjustment to survival from
Hodgkin’s disease. J Consult Clin Psychol 1986;54:616–622.
33. Langeveld NE, Stam H, Grootenhuis MA, et al. Quality of life in
young adult survivors of childhood cancer. Support Care Cancer
2002;10:579–600.
34. Eiser C, Hill JJ, Vance YH. Examining the psychological
consequences of surviving childhood cancer: Systematic review
as a research method of pediatric psychology. J Pediatr Psychol
2000;25:449–460.
35. Felder-Puig R, Formann A, Mildner A, et al. Quality of life and
psychosocial adjustment of young patients after treatment of bone
cancer. Cancer 1998;83:69–75.
Pediatr Blood Cancer DOI 10.1002/pbc
QoL in Adolescent Cancer Patients 685
36. Mackie E, Hill J, Kondryn H, et al. Adult psychosocial outcomes
in long-term survivors of acute lymphoblastic leukaemia and
Wilms’ tumour: A controlled study. Lancet 2000;355:1310–
1314.
37. 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 form the Childhood
Cancer Survivor Study. Pediatrics 2002;110:42–52.
38. Pendley JS, Dahlquist LM, Dreyer Z. Body image and psychosocial
adjustment in adolescent cancer survivors. J Pediatr Psychol 1997;
22:29–43.
39. Bhatia S, Jenney ME, Bogue MK, et al. The Minneapolis-
Manchester Quality of Life Instrument: Reliability and validity
of the Adolescent Form. J Clin Oncol 2002;20:4692–4698.
40. Robison LL, Daigle A. Control selection using random digit dialing
for cases of childhood cancer. Am J Epidemiol 1984;120:164–
166.
41. Buckley JD. Epilog windows procedure. In: Buckley JD, editor.
Epilog windows procedure. Pasadena, CA: Epicenter Software;
1999.
42. Tebbi CK, Bromberg C, Piedmonte M. Long-term vocational
adjustment of cancer patients diagnosed during adolescence.
Cancer 1989;63:213–218.
43. Moe P, Holen A, Glomstein A, et al. Long-term survival and quality
of life in patients treated with a national ALL protocol 15-20 years
earlier: IDM/HDM and late effects? Pediatr Hematol Oncol
1997;14:513–524.
44. Barr R, Grant J, Davidson A, et al. Health-related quality of life in
adolescent survivors of cancer in childhood. Med Pediatr Oncol
2003;41:271 (abstr. O056).
45. Hankin BL, Abramson LY. Development of gender differences in
depression: Description and possible explanations. Ann Med 1999;
31:372–379.
46. Kornstein S. Gender differences in depression: Implications for
treatment. J Clin Psychiatry 1997;58:12–18.
47. Lewisohn P, Rohde P, Seely J. Major depressive disorder in older
adolescents: Prevalence, risk factors, and clinical implications.
Clin Psychol Rev 1998;18:765–794.
48. Hankin B, Abramson L, Moffitt T, et al. Development of depression
from preadolescence to young adulthood: Emerging gender
differences in a 10-year longitudinal study. J Abnorm Psychol
1998;107:128–140.
49. Avis N, Ory M, Matthews K, et al. Health-related quality of life in a
multiethnic sample of middle-aged women: Study of Women’s
Health Across the Nation (SWAN). MedCare 2003;41:1262–
1276.
50. Wan GJ, Counte MA, Cella DF, et al. The impact of socio-cultural
and clinical factors on health-related quality of life among Hispanic
and African-American cancer patients. J Outcome Meas 1999;3:
200–215.
51. Barr RD, Simpson T, Whitton A, et al. Health-related quality of life
in survivors of tumors of the central nervous system in childhood—
A preference-based approach to measurement in a cross-sectional
study. Eur J Cancer 1999;35:248–255.
52. Calaminus G, Weinspach S, Teske C, et al. Quality of life in
children and adolescents with cancer. First results of an evaluation
of 49 patients with the PEDQOL questionnaire. Klin Padiatr 2000;
212:211–215.
53. Zebrack BJ, Chesler MA. Quality of life in childhood cancer
survivors. Psycho-Oncology 2002;11:132–141.
Pediatr Blood Cancer DOI 10.1002/pbc
686 Wu et al.