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Research ArticleOriginal Research

Self-Reported Health Problems of Young Adults in Clinical Settings: Survivors of Childhood Cancer and Healthy Controls

Lisa A. Schwartz, Jun J. Mao, Branlyn W. DeRosa, Jill P. Ginsberg, Wendy L. Hobbie, Claire A. Carlson, Ifigenia D. Mougianis, Sue K. Ogle and Anne E. Kazak
The Journal of the American Board of Family Medicine May 2010, 23 (3) 306-314; DOI: https://doi.org/10.3122/jabfm.2010.03.090215
Lisa A. Schwartz
PhD
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Jun J. Mao
MD, MSCE
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Branlyn W. DeRosa
PhD
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Jill P. Ginsberg
MD
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Wendy L. Hobbie
MSN, CRNP
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Claire A. Carlson
BSN, RN
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Ifigenia D. Mougianis
BA
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Sue K. Ogle
MSN, CRNP
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Anne E. Kazak
PhD
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Article Figures & Data

Tables

    • View popup
    Table 1.

    Demographic Characteristics by Group

    Survivors (n = 156)Controls (n = 138)P
    Age (mean [SD])19.9 (3.1)20.6 (2.9).06
    Male gender (n [%])75 (48)60 (44).43
    Non-Hispanic white (n [%])135 (87)113 (82).27
    Education beyond high school (n [%])83 (54)79 (58).44
    Personal income <$20,000 (n [%])115 (79)96 (72).14
    • View popup
    Table 2.

    Self-Report of Health Problems on the Health Knowledge Inventory by Group

    Health Knowledge Inventory ProblemsSurvivors (n = 156)Controls (n = 138)P
        Total5.6 (4.0)2.6 (2.8)0.00
        Organic/major2.9 (2.3)1.3 (1.6)0.00
        Constitutional/other2.7 (2.1)1.4 (1.6)0.00
    • Values provided as mean (SD).

    • View popup
    Table 3.

    Comparison of Health Knowledge Inventory Problems Endorsed by Group

    ProblemsSurvivors* (n = 156)Controls* (n = 138)Odds Ratio (95% CI)†
    Organic/major
        Growth32 (20.5)1 (0.7)
        Seizure1 (0.6)1 (0.7)
        Stroke0 (0.0)0 (0.0)
        Hearing21 (13.9)5 (3.6)
        Thyroid14 (9.0)1 (0.7)
        Heart/blood27 (17.3)5 (3.6)
        Breast10 (6.4)3 (2.2)
        Kidney13 (8.3)3 (2.2)
        Liver6 (3.8)1 (0.7)
        Diabetes-related1 (0.6)2 (1.4)
        Immunologic8 (5.1)0 (0.0)
        Other endocrine6 (3.8)1 (0.7)
        Second cancer5 (3.2)0 (0.0)
        Vision/eye49 (31.4)13 (9.4)4.4 (2.3–8.6)
        Reproductive38 (24.4)10 (7.2)4.1 (2.0–8.6)
        Bone/joint43 (27.6)14 (10.1)3.4 (1.8–6.5)
        Breathing/lung28 (17.9)12 (8.7)2.3 (1.1–4.7)
        Cognitive/learning30 (19.2)16 (11.6)1.8 (0.9–3.5)
        Dermatologic41 (26.3)32 (23.2)1.2 (0.7–2.0)
        Stomach/gastrointestinal33 (21.2)29 (21.0)1.0 (0.6–1.8)
        Bladder/urination11 (7.1)12 (8.7)0.8 (0.3–1.9)
    Constitutional/other
        Face looks different11 (7.1)0 (0.0)
        Body looks different30 (19.2)3 (2.2)
        Mouth/taste problems17 (10.9)4 (2.9)
        Problems walking5 (3.2)2 (1.4)
        Balance problems12 (7.7)4 (2.9)
        Significant scars101 (64.7)18 (13.0)12.2 (6.8–22.2)
        Getting tired easily43 (27.6)18 (13.0)2.5 (1.4–4.7)
        Other5 (13.9)7 (6.3)2.4 (0.7–8.2)
        Dental/gum28 (17.9)13 (9.4)2.1 (1.0–4.3)
        Psychologic41 (26.3)23 (16.7)1.8 (1.0–3.2)
        Sleep36 (23.1)25 (18.1)1.4 (0.8–2.4)
        Headaches72 (40.0)41 (29.7)1.4 (0.9–2.3)
        Weight39 (25.0)27 (19.6)1.4 (0.8–2.4)
        Nose/smell16 (10.3)11 (8.0)1.3 (0.6–3.0)
        Other pain12 (7.7)14 (10.1)0.7 (0.3–1.7)
    • * Values in these columns provided as n (%).

    • † Odds ratio and CIs reported only for health problems endorsed by at least 5% of both groups. Two-tailed Fisher's exact test was run for health problems with <5% frequency of endorsement by either group.

    • View popup
    Table 4.

    Comparison of Number of Self-Reported Organic/Major and Constitutional/Other Problems among Survivors and Controls by Clinical and Demographic Categories

    Survivors (n = 156)Controls (n =138)
    Organic/MajorP*Constitutional/OtherP*Organic/MajorP*Constitutional/OtherP*
    Diagnosis†.10.02
        Leukemia2.64 (2.37)2.23 (1.97)N/AN/A
        Lymphoma2.40 (1.87)2.70 (2.38)N/AN/A
        Solid tumor3.36 (2.30)3.30 (2.02)N/AN/A
    Intensity of Treatment Rating 2‡.00.02
        Least/moderate1.93 (1.65)2.09 (2.19)N/AN/A
        Very3.33 (2.30)3.07 (1.93)N/AN/A
        Most4.50 (2.65)3.38 (1.93)N/AN/A
    Reason for visit.62.79
        RoutineN/AN/A1.26 (1.67)1.46 (1.59)
        Follow-upN/AN/A1.44 (1.68)1.22 (1.84)
        AcuteN/AN/A1.07 (1.37)1.37 (1.48)
    Age (years).03.03.43.39
        <202.46 (2.21)2.35 (1.93)1.40 (1.77)1.53 (1.77)
        ≥203.24 (2.29)3.06 (2.24)1.18 (1.46)1.28 (1.51)
    Gender.02.15.00.00
        Male2.43 (2.23)2.45 (1.88)0.78 (1.12)0.85 (1.26)
        Female3.25 (2.26)2.94 (2.29)1.63 (1.78)1.78 (1.74)
    Ethnicity/race.69.90.00.19
        White2.88 (2.27)2.70 (2.12)1.43 (1.67)1.46 (1.64)
        Minority2.67 (2.37)2.76 (2.10)0.48 (0.71)1.00 (1.47)
    Highest education.14.05.571.00
        ≤12th grade2.58 (2.46)2.36 (2.14)1.14 (1.37)1.37 (1.62)
        >12th grade3.12 (2.08)3.02 (2.06)1.29 (1.61)1.37 (1.60)
    Income.14.19.87.50
        <$20,0002.71 (2.25)2.62 (2.03)1.24 (1.53)1.42 (1.74)
        ≥$20,0003.40 (2.18)3.20 (2.48)1.29 (1.71)1.24 (1.22)
    • All values provided as mean (SD).

    • * Pvalues are based on t tests or analyses of variance testing for within group (survivors or controls) differences on number of problems reported in each clinical and demographic category. Because diagnoses and Intensity of Treatment Rating included 3 categories, post hoc analyses using the least squares differences test was used to identify which of the 3 categories significantly differed from one another.

    • † Post hoc analyses comparing problem reported by diagnosis found that those with solid tumors reported significantly more Constitutional/Other problems than those with leukemia.

    • ‡ Post hoc analyses comparing the 3 categories of treatment intensity revealed that all categories differed significantly from one another on reporting of Constitutional/Other and Organic/Major problems.

    • View popup
    Table 5.

    Multivariate Regressions Predicting Self-Report of Health Problems among Categories with More Than One Correlate

    Variance Accounted For (%)β*P
    Organic/major problems
        Survivors (n = 156)
            Total model22.00
            Age†0.15.04
            Sex‡0.14.07
            Treatment intensity†0.38.00
        Controls (n = 138)
            Total model9.00
            Minority status‡−0.12.03
            Sex‡0.18.00
    Constitutional/other problems
        Survivors (n = 156)
            Step 1§11.00
        Age0.21.01
        Treatment intensity†0.25.00
            Step 2‖7.00
        Lymphoma0.13.13
        Solid tumor0.27.00
    • * β is standardized.

    • † Age and treatment intensity are entered as continuous variables to facilitate easier interpretation and to maximize variance of these variables. Thus, positive β values indicate that problems increase with higher age and higher treatment intensity.

    • ‡ Dichotomous variables are coded as 0 and 1. In particular, sex is coded as 0 = male, 1 = female and minority status is coded as 0 = white and 1 = minority. Thus, a positive β value for sex indicates a positive relationship between female sex and problem reporting. The negative β value for minority status indicates a positive relationship between being white and report of problems.

    • § Two steps were used in the regression predicting Constitutional/Other problems in order to determine the unique contribution of diagnosis given the multiple categories in this variable.

    • ‖ Dummy codes for diagnosis were used to reflect categories of diagnoses of lymphoma and solid tumor.

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The Journal of the American Board of Family Medicine: 23 (3)
The Journal of the American Board of Family Medicine
Vol. 23, Issue 3
May-June 2010
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Self-Reported Health Problems of Young Adults in Clinical Settings: Survivors of Childhood Cancer and Healthy Controls
Lisa A. Schwartz, Jun J. Mao, Branlyn W. DeRosa, Jill P. Ginsberg, Wendy L. Hobbie, Claire A. Carlson, Ifigenia D. Mougianis, Sue K. Ogle, Anne E. Kazak
The Journal of the American Board of Family Medicine May 2010, 23 (3) 306-314; DOI: 10.3122/jabfm.2010.03.090215

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Self-Reported Health Problems of Young Adults in Clinical Settings: Survivors of Childhood Cancer and Healthy Controls
Lisa A. Schwartz, Jun J. Mao, Branlyn W. DeRosa, Jill P. Ginsberg, Wendy L. Hobbie, Claire A. Carlson, Ifigenia D. Mougianis, Sue K. Ogle, Anne E. Kazak
The Journal of the American Board of Family Medicine May 2010, 23 (3) 306-314; DOI: 10.3122/jabfm.2010.03.090215
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