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Cancer Epidemiology, Biomarkers & Prevention
Cancer Epidemiology, Biomarkers & Prevention
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Variation in Blame Attributions across Different Cancer Types

Laura A.V. Marlow, Jo Waller and Jane Wardle
Laura A.V. Marlow
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Jo Waller
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Jane Wardle
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DOI: 10.1158/1055-9965.EPI-09-1298 Published July 2010
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    Figure 1.

    Variation in blame attributions across five cancer types using different cutoffs.

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  • Table 1.

    Sample characteristics (n = 1,596)

    %*N
    Age (y)
        16-3934.3548
        40-5933.6536
        60-9732.1512
    Education
        None32.7522
        Low school level28.9461
        High school level24.7394
        University12.9206
    Ethnicity
        White94.51,509
        Non-White5.384
    • ↵*Unaccounted percentage is missing data.

  • Table 2.

    Mean ranks and mean rank pair-differences for blame attributions

    Blame attribution rank differences
    Mean blame rankingLeukemiaBreast cancerBowel cancerCervical cancerLung cancerChlamydiaObesity
    Leukemia2.50———————
    Breast cancer2.670.17——————
    Bowel cancer2.860.360.19—————
    Cervical cancer3.260.760.590.40————
    Lung cancer4.872.372.202.011.61———
    Chlamydia5.583.082.912.722.320.71——
    Obesity6.263.763.593.403.001.390.68—

    NOTE: Values in boldface indicate that the difference between the two rankings was significant (i.e., greater than the critical value of 0.182 for P < 0.05).

    • Table 3.

      Sociodemographic differences in cancer blame attributions (with outcome of “any blame”)

      LeukemiaBreast cancerBowel cancerCervical cancerLung cancer
      %OR (95% CI)%OR (95% CI)%OR (95% CI)%OR (95% CI)%OR (95% CI)
      Age (y)
          16-39131.00191.00241.00361.00741.00
          40-5960.46 (0.30-0.71)130.62 (0.44-0.86)240.98 (0.74-1.29)330.87 (0.68-1.12)710.83 (0.63-1.08)
          60-9770.52 (0.34-0.80)130.63 (0.45-0.88)210.86 (0.64-1.15)411.22 (0.95-1.57)650.65 (0.50-0.85)
      Education
          None101.00141.00191.00341.00621.00
          Low90.86 (0.55-1.33)151.03 (0.72-1.47)211.09 (0.80-1.50)401.30 (1.00-1.69)701.47 (1.12-1.92)
          Medium80.52 (0.51-1.30)151.07 (0.74-1.55)271.56 (1.14-2.13)351.03 (0.77-1.36)772.04 (1.52-2.74)
          High60.63 (0.33-1.17)161.15 (0.74-1.80)291.73 (1.19-2.51)381.16 (0.83-1.63)792.26 (1.54-3.30)
      Ethnicity
          White81.00141.00231.00361.00711.00
          Non-White172.33 (1.27-4.30)231.77 (1.04-3.02)271.29 (0.79-2.11)441.37 (0.88-2.15)660.79 (0.50-1.26)

      NOTE: Participants who selected 2 to 10 were coded as attributing “any blame.” Boldface indicates significance (P < 0.05).

      Abbreviations: OR (95% CI), odds ratio (95% confidence interval).

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      Cancer Epidemiology Biomarkers & Prevention: 19 (7)
      July 2010
      Volume 19, Issue 7
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      Variation in Blame Attributions across Different Cancer Types
      Laura A.V. Marlow, Jo Waller and Jane Wardle
      Cancer Epidemiol Biomarkers Prev July 1 2010 (19) (7) 1799-1805; DOI: 10.1158/1055-9965.EPI-09-1298

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      Variation in Blame Attributions across Different Cancer Types
      Laura A.V. Marlow, Jo Waller and Jane Wardle
      Cancer Epidemiol Biomarkers Prev July 1 2010 (19) (7) 1799-1805; DOI: 10.1158/1055-9965.EPI-09-1298
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