| Literature DB >> 19080029 |
Jo Ellen Stryker1, Jessica Fishman, Karen M Emmons, Kasisomayajula Viswanath.
Abstract
INTRODUCTION: We wanted to understand how cancer risks are communicated in mainstream and ethnic newspapers, to determine whether the 2 kinds of newspapers differ and to examine features of news stories and sources that might predict optimal risk communication.Entities:
Mesh:
Year: 2008 PMID: 19080029 PMCID: PMC2644587
Source DB: PubMed Journal: Prev Chronic Dis ISSN: 1545-1151 Impact factor: 2.830
Risk Categories Described in Stories About Cancer Morbidity Risk, by Newspaper Source, 2003
| Risk Category | Stories Overall (N = 1,665), % | Stories in Mainstream | Stories in Ethnic |
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|---|---|---|---|---|
| Lifestyle | 41.0 | 40.3 | 47.9 | .03 |
| Genetic | 20.0 | 18.7 | 28.2 | .001 |
| Demographic | 35.6 | 30.9 | 64.1 | <.001 |
| Medical | 16.9 | 18.4 | 7.3 | <.001 |
| Environmental/occupational | 19.9 | 21.2 | 12.0 | <.001 |
Columns do not total 100% because some stories mention more than 1 risk category.
"Mainstream" was defined as the 50 highest-circulating newspapers that were accessible through the Lexis-Nexis database (n = 44).
"Ethnic" was defined as all English-language newspapers in the Ethnic NewsWatch database (n = 283).
P values were calculated by using Pearson χ2 analysis.
Percentage of Stories About Cancer Morbidity Risk That Mention Specific Cancer Risks and Formatsa Used to Describe the Risks, by Newspaper Source, 2003b
| Cancer Risk Category | Mainstream Newspapers | Ethnic Newspapers |
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|---|---|---|---|---|---|---|---|
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| Alcohol | 3.6 | 0.5 | 3.0 | 6.4 | 0.4 | 6.0 | .09 |
| Tobacco | 18.4 | 1.7 | 16.6 | 23.5 | 4.3 | 19.2 | .02 |
| Exercise | 5.4 | 0.5 | 4.9 | 14.5 | 0 | 14.5 | <.001 |
| Diet/nutrition | 14.3 | 1.5 | 12.7 | 31.2 | 1.3 | 29.9 | <.001 |
| Sexual practices | 2.4 | 0.3 | 2.2 | 2.6 | 0 | 2.6 | .67 |
| Sun exposure | 6.6 | 2.7 | 4.0 | 3.0 | 0.4 | 2.6 | .06 |
| Obesity | 5.5 | 0.7 | 4.8 | 11.1 | 0 | 11.1 | <.001 |
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| 18.7 | 2.0 | 16.7 | 28.2 | 3.0 | 25.2 | .003 |
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| Race | 11.0 | 3.4 | 7.6 | 51.3 | 17.5 | 33.8 | <.001 |
| Age | 22.8 | 2.4 | 20.3 | 29.1 | 1.3 | 27.8 | .02 |
| SES | 4.2 | 0.3 | 3.8 | 3.0 | 0.4 | 2.6 | .61 |
| Medications | 12.4 | 3.6 | 8.7 | 2.6 | 0 | 2.6 | <.001 |
| Surgery | 3.1 | 0.3 | 2.8 | 2.1 | 0 | 2.1 | .56 |
| Virus/infectious agent | 3.8 | 0.7 | 3.1 | 2.1 | 0 | 2.1 | .32 |
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| Air/water pollutants | 9.8 | 0.9 | 8.9 | 4.7 | 0.4 | 4.3 | .04 |
| Pesticides/chemicals | 8.7 | 0.8 | 7.9 | 5.6 | 0 | 5.6 | .16 |
| Occupational hazards | 7.3 | 0.6 | 6.6 | 1.3 | 0 | 1.3 | .002 |
Abbreviation: SES, socioeconomic status.
"Numeric" refers to story formats that quantified cancer risk; "nonnumeric," to story formats that did not quantify cancer risk.
Because of rounding, numeric and nonnumeric percentages may not equal overall percentages.
"Mainstream" was defined as the 50 highest-circulating newspapers that were accessible through the Lexis-Nexis database (n = 44).
"Ethnic" was defined as all English-language newspapers in the Ethnic NewsWatch database (n = 283).
P values were calculated by using Pearson χ2 analysis.
Percentage values do not necessarily correspond with Table 1 because some stories contain more than 1 risk category.
Type of Response Efficacy Information in Stories About Cancer Morbidity by Newspaper Source for Cancer Stories Overall and for Cancer Morbidity Risk Stories Only, 2003
| Type of Story/Response Efficacy | No. of Overall Stories (%) | No. of Mainstream | No. of Ethnic |
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| Prevention information | 48.4 | 48.1 | 50.4 | .51 |
| Screening information | 32.4 | 29.9 | 47.4 | <.001 |
| Mobilizing information | 19.8 | 18.6 | 26.9 | .003 |
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| Prevention information | 20.8 | 19.6 | 32.4 | <.001 |
| Screening information | 20.4 | 18.8 | 35.3 | <.001 |
| Mobilizing information | 17.5 | 16.8 | 23.9 | <.001 |
"Mainstream" was defined as the 50 highest-circulating newspapers that were accessible through the Lexis-Nexis database (n = 44).
"Ethnic" was defined as all English-language newspapers in the Ethnic NewsWatch database (n = 283).
P values were calculated by using Pearson χ2 analysis.
Predictors of Optimal Risk Communicationa in Newspaper Stories About Cancer Morbidity Risk, 2003
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| No. of Stories (%) | Optimal Risk Communication | ||
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| % | OR (95% CI) | AOR (95% CI) | ||
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| Ethnic | 108 (16.0) | 22.2 | 1.27 (0.77-2.10) | NC |
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| Report of new research | 344 (51.0) | 23.3 | 2.36 (1.13-4.93) | 1.09 |
| Policy/politics | 47 (7.0) | 17.0 | 1.60 (0.57-4.47) | NC |
| Awareness/education | 118 (17.5) | 17.8 | 1.68 (0.73-3.90) | NC |
| Profile | 86 (12.8) | 11.6 | 1.02 (0.39-2.67) | NC |
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| Wire service | 134 (19.9) | 25.4 | 1.61 (1.03-2.53) | 1.15 (0.68-1.95) |
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| Lung | 124 (19.1) | 24.2 | 1.31 (0.79-2.20) | NC |
| Breast | 288 (44.4) | 20.5 | 1.21 (0.79-2.20) | NC |
| Colorectal | 125 (19.3) | 20.8 | .92 (0.54-1.58) | NC |
| Skin | 112 (17.3) | 25.0 | 1.54 (0.94-2.53) | NC |
| Prostate | 149 (23.0) | 28.2 | 1.88 (1.21-2.91) | 1.90 (1.18-3.05) |
| Female reproductive | 102 (15.7) | 19.6 | .99 (0.56-1.73) | NC |
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| National Cancer Institute | 100 (14.8) | 27.0 | 1.39 (0.83-2.31) | NC |
| American Cancer Society | 186 (27.6) | 28.0 | 2.05 (1.35-3.09) | 1.49 (0.95-2.33) |
| Scientific journals | 215 (31.9) | 28.4 | 2.12 (1.39-3.25) | 1.78 (1.05-3.03) |
| Research institutions | 345 (51.2) | 22.3 | 1.17 (0.77-1.80) | NC |
| Pharmaceutical companies | 48 (7.1) | 22.9 | 1.12 (0.54-2.32) | NC |
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| Lifestyle risk | 256 (38.0) | 25.4 | 1.54 (1.02-2.33) | 1.54 (1.00-2.35) |
| Genetic risk | 160 (23.7) | 26.3 | 1.12 (0.71-1.78) | |
| Demographic risk | 306 (45.4) | 27.8 | 2.55 (1.66-3.92) | 2.06 (1.31-3.23) |
| Medical risk | 143 (21.2) | 31.5 | 2.29 (1.47-3.56) | 2.17 (1.34-3.50) |
| Environmental/occupational risk | 99 (14.7) | 22.2 | 1.43 (0.82-2.48) | NC |
Abbreviations: OR, odds ratio; CI, confidence interval; AOR, adjusted odds ratio; NC, not calculated.
"Optimal risk communication" was defined as presenting the combination of absolute risk, relative risk, and efficacy information.
Each item in these categories is a distinct measure. The referent is the absence of the item. For example, the referent for lung cancer is stories that did not discuss lung cancer.
A dummy variable was computed, comparing reports of new research to all other story formats.