Dataset Information

Prevalence and Framing of Health Disparities in Local Print News: Implications for Multilevel Interventions to Address Cancer Inequalities.

ABSTRACT: BACKGROUND:Americans remain under-informed about cancer and other health disparities and the social determinants of health (SDH). The news media may be contributing to this knowledge deficit, whether by discussing these issues narrowly or ignoring them altogether. Because local media are particularly important in influencing public opinion and support for public policies, this study examines the prevalence and framing of disparities/SDH in local mainstream and ethnic print news. METHODS:We conducted a multi-method content analysis of local mainstream (English language) and ethnic (Spanish language) print news in two lower income cities in New England with substantial racial/ethnic minority populations. After establishing intercoder reliability (? = 0.63-0.88), coders reviewed the primary English and Spanish language newspaper in each city, identifying both disparities and non-disparities health stories published between February 2010 and January 2011. RESULTS:Local print news coverage of cancer and other health disparities was rare. Of 650 health stories published across four newspapers during the one-year study period, only 21 (3.2%) discussed disparities/SDH. Although some stories identified causes of and solutions for disparities, these were often framed in individual (e.g., poor dietary habits) rather than social contextual terms (e.g., lack of food availability/affordability). Cancer and other health stories routinely missed opportunities to discuss disparities/SDH. CONCLUSION:Local mainstream and ethnic media may be ideal targets for multilevel interventions designed to address cancer and other health inequalities. IMPACT:By increasing media attention to and framing of health disparities, we may observe important downstream effects on public opinion and support for structural solutions to disparities, particularly at the local level. Cancer Epidemiol Biomarkers Prev; 25(4); 603-12. ©2016 AACR SEE ALL ARTICLES IN THIS CEBP FOCUS SECTION, "MULTILEVEL APPROACHES TO ADDRESSING CANCER HEALTH DISPARITIES".

SUBMITTER: Nagler RH

PROVIDER: S-EPMC4874564 | biostudies-literature | 2016 Apr

REPOSITORIES: biostudies-literature

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Prevalence and Framing of Health Disparities in Local Print News: Implications for Multilevel Interventions to Address Cancer Inequalities.

Nagler Rebekah H RH Bigman Cabral A CA Ramanadhan Shoba S Ramamurthi Divya D Viswanath K K

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology 20160401 4

<h4>Background</h4>Americans remain under-informed about cancer and other health disparities and the social determinants of health (SDH). The news media may be contributing to this knowledge deficit, whether by discussing these issues narrowly or ignoring them altogether. Because local media are particularly important in influencing public opinion and support for public policies, this study examines the prevalence and framing of disparities/SDH in local mainstream and ethnic print news.<h4>Metho ...[more]

PMID: 27196094

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Project description:INTRODUCTION:The view that we are in the midst of a global diabetes epidemic has gained considerable ground in recent years and is often linked to the prior 'obesity epidemic'. This research explored how the diabetes epidemic was represented in United Kingdom (UK) news over the same time period that the obesity epidemic was widely reported. The research was motivated by a sociological interest in how postmodern 'epidemics' synergise with each other amidst broader political, economic, moral and sociocultural discourses. METHOD:We analysed three time-bound samples of UK news articles about diabetes: 1993 (n = 19), 2001 (n = 119) and 2013 (n = 324). Until now, UK media has had the least attention regarding portrayal of diabetes. We adopted an empathically neutral approach and used a dual method approach of inductive thematic analysis and deductive framing analysis. The two methods were triangulated to produce the findings. RESULTS:Framing of diabetes moved from medical in 1993 to behavioural in 2001, then societal in 2013. By 2001 obesity was conceptualised as causal to diabetes, rather than a risk factor. Between 2001 and 2013 portrayals of the modifiable risk factors for diabetes (i.e. diet, exercise and weight) became increasingly technical. Other risk factors like age, family history and genetics faded during 2001 and 2013, while race, ethnicity and culture were positioned as states of 'high risk' for diabetes. The notion of an 'epidemic' of diabetes 'powered up' these concerns from an individual problem to a societal threat in the context of obesity as a well-known health risk. DISCUSSION AND CONCLUSION:Portraying diabetes and the diabetes epidemic as anticipated consequences of obesity enlivens the heightened awareness to future risks in everyday life brought about during the obesity epidemic. The freeform adoption of the 'epidemic' term in contemporary health discourse appears to foster individual and societal dependence on biomedicine, giving it political, economic and divisive utility.

Project description:BACKGROUND: The health status of individuals is determined by multiple factors operating at both micro and macro levels and the interactive effects of them. Measures of health inequalities should reflect such determinants explicitly through sources of levels and combining mean differences at group levels and the variation of individuals, for the benefits of decision making and intervention planning. Measures derived recently from marginal models such as beta-binomial and frailty survival, address this issue to some extent, but are limited in handling data with complex structures. Beta-binomial models were also limited in relation to measuring inequalities of life expectancy (LE) directly. METHODS: We propose a multilevel survival model analysis that estimates life expectancy based on survival time with censored data. The model explicitly disentangles total health inequalities in terms of variance components of life expectancy compared to the source of variation at the level of individuals in households and parishes and so on, and estimates group differences of inequalities at the same time. Adjusted distributions of life expectancy by gender and by household socioeconomic level are calculated. Relative and absolute health inequality indices are derived based on model estimates. The model based analysis is illustrated on a large Swedish cohort of 22,680 men and 26,474 women aged 6569 in 1970 and followed up for 30 years. Model based inequality measures are compared to the conventional calculations. RESULTS: Much variation of life expectancy is observed at individual and household levels. Contextual effects at Parish and Municipality level are negligible. Women have longer life expectancy than men and lower inequality. There is marked inequality by the level of household socioeconomic status measured by the median life expectancy in each socio-economic group and the variation in life expectancy within each group. CONCLUSION: Multilevel survival models are flexible and efficient tools in studying health inequalities of life expectancy or survival time data with a geographic structure of more than 2 levels. They are complementary to conventional methods and override some limitations of marginal models. Future research on determinants of health inequalities in the LE of the specific cohort on the household and individual factors could reveal some important causes over the marked household level inequalities.

Dataset Information

Prevalence and Framing of Health Disparities in Local Print News: Implications for Multilevel Interventions to Address Cancer Inequalities.

Publications

Prevalence and Framing of Health Disparities in Local Print News: Implications for Multilevel Interventions to Address Cancer Inequalities.

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