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PLOS One logoLink to PLOS One
. 2020 Jan 17;15(1):e0225794. doi: 10.1371/journal.pone.0225794

Monitoring the ‘diabetes epidemic’: A framing analysis of United Kingdom print news 1993-2013

Kristen Foley 1,*,#, Darlene McNaughton 1,#, Paul Ward 1,#
Editor: Quinn Grundy2
PMCID: PMC6968867  PMID: 31951616

Abstract

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.

Introduction

The view that we are in the midst of a global diabetes epidemic has gained considerable ground in recent years, often asserted to be driven by the prior ‘obesity epidemic’ [1]. To date there has been limited empirical research that explores how the diabetes epidemic has been constructed in the media and also no longitudinal analysis of how the diabetes epidemic has been positioned in reference to the obesity epidemic. This research aimed to explicate the trajectory of the diabetes epidemic in United Kingdom (UK) newspapers over the time period that the obesity epidemic was widely reported. In the background we explore some key points from the critical literature about presentations of health issues and postmodern epidemics. We then chart the current literature regarding how diabetes has been presented in the news. The method section outlines an innovative paired thematic and framing analysis we developed to answer our research question. In the results section we provide a chronological review of how diabetes and its epidemic was reported in UK news, in relation to reporting about the obesity epidemic. The discussion section explores links between our results with other contemporary critical public health literature.

Understanding popular conceptions of health issues is an important field of public health inquiry, as notions of health and healthiness are imbued with great political, economic, moral and sociocultural value. Critical scholars contend we live in a time fixated on health as a lifelong goal, where ‘healthy lifestyles’ act as a vehicle for people to pursue this goal and simultaneously demonstrate their commitment to this collective priority [2, 3]. The widespread production and consumption of goods and services to achieve healthy living attests to the economic value tied to healthy lifestyles [4]. This extreme focus on health, mobilised through healthy lifestyles, is considered a political tool that neoliberal governance systems use to prevent public health burdens [5].

For some, a societal focus on health and an attention to healthy living can be a positive outcome of public health campaigns and civic governance with wide reaching benefits. However, as the concepts of health and healthiness have become politically and economically important, they have also been imbued with meanings around moral and social worth [3]. An individual’s perceived healthiness is often used as a proxy for evaluating the success of social and personal life [2]. Conversely, perceived neglect of one’s health can signify a failure to adhere to shared norms and values [6]. Individuals who develop diseases constructed as preventable, such as diabetes or obesity, are therefore portrayed as ‘bad’ or ‘irresponsible’ citizens [7, 8]. Others may even be defined as a ‘threat’ to societal values and interests [7]. Living a ‘healthy life’ therefore becomes doubly important to avoid shame, blame, exclusion, and myriad forms of ‘othering’ based on perceived disease probability [3].

Studying popular constructions of health provides valuable insight into discourses around health and healthiness and how they synergise with moral, economic, political and sociocultural meaning. The freeform adoption of the ‘epidemic’ term to popular presentations about health issues is of great academic interest because it can evocatively tie concerns of individual healthiness to concerns of public safety or progress [7]. The obesity epidemic, for example, is argued to have legitimised concerns about body weight through the powerful narrative of western medicine. Raisborough [9] asserts that our understanding of health has become ‘fat tainted’ through the obesity epidemic because it enhanced legitimacy around moral or social concerns around being overweight or obese, by framing fatness as a health issue. Maintaining the use of words like ‘fat’ or ‘fatness’, to many authors in critical health disciplines, resists the way in which a bodily state has become so heavily medicalised [10, 11]. Some authors point out that the measurements and classifications used to construct the obesity epidemic was overstated, while other shifts in postindustrial societies were neglected in its portrayal [10, 12, 13]. Campos [12] highlights that escalating health concerns about obesity ushered in enhanced attention to health risks because everyone, everywhere, is at risk of becoming too fat. This is an example of Lupton’s [14] concerns that health risks provide effective political mechanisms to govern a health-conscious public. For this reason, Boero [15] argues that supposed health epidemics must be brought into the realm of cultural critique.

It is from this critical cultural perspective that we must ‘monitor’ the trajectory of the ‘diabetes epidemic’ in popular discourse vis a vis the prior ‘obesity epidemic’. Until now there has been no empirical nor longitudinal analysis of the diabetes epidemic, despite it gaining considerable ground over the past two decades and converging with fatness in public, scientific and policy arenas [1]. We use the term diabetes in this article to refer predominantly to Type 2 Diabetes Mellitus which is positioned as the driver of the epidemic, and also to reflect the way that diabetes is being constructed in popular discourse. Increases in rates of diabetes are likely to be significantly influenced by an enhanced focus on surveillance and diagnosis in our modern era [1, 16]. Further, ageing populations in industrialised countries likely play a significant role in increasing appearance of the disease, given the strong association between ageing and diabetes [1]. Socioeconomic disadvantage is strongly associated with risk for diabetes [1723] as well as more serious complications from the disease [24, 25]. Despite a wealth of molecular and genetic data collection over the past few decades still no answer has been found for exactly what causes the epigenetic disease [24, 2628]. These complexities and uncertainties, however, are not well represented in discussions about the diabetes epidemic [29] while obesity is often emphasized at the exclusion of factors beyond individual control [1].

A handful of studies have explored how diabetes has been portrayed by news media. Rock [30] argued diabetes was portrayed as a sinister medical condition in United States press. Gollust and Lantz [29] showed that obesity and behaviour were dominant features of how diabetes is portrayed in North American news. Hellyer & Haddock-Fraser [31] found UK news poorly reported the social determinants of health associated with diabetes. McNaughton [1] argued that obesity and diabetes have become conflated across realms of media, policy and scientific circles in Australia—and that the so called obesity epidemic is commonly depicted as the primary cause of a diabetes epidemic. In Canada, government, academic and public health campaigns cite behaviour as a central driver of the disease [32, 33] and similarly the obesity epidemic is identified as the key driver of the diabetes epidemic. Most recently in the United States (US), Stefanik-Sidener [34] argued that a behavioural frame was commonly used to describe the disease in the New York Times. No studies have yet taken a longitudinal approach to explore the trajectory of diabetes presentations over time. Further, no one has yet empirically analysed the emergence of the diabetes epidemic in news accounts vis a vis obesity and its own epidemic. Critical public health has, however, received the mandate to ‘dissect potentially toxic social, economic, political and cultural processes’ [35]. It is with this sociological intention we aimed to interrogate the emergence of a diabetes epidemic in popular discourse and its linkages with the obesity epidemic.

In considering the current attempts to explicate how diabetes has been portrayed in the news, the United Kingdom has received the least attention. Hellyer and Haddock-Fraser’s [31] work applied content analysis to three months of media coverage, finding that diabetes was portrayed as a behavioural issue and that obesity was causal to the disease. Obesity was a key policy issue during the late 1990’s in the UK and they remain in the midst of an ‘obesity epidemic’ [36]. Monaghan et al. [37] have drawn attention to England’s reputation as the ‘fat man’ of Europe, and the 1998 WHO Obesity Report [38] specifically named England as having doubled their ‘obesity levels’ in a relatively short period of time. Diabetes UK identified in 2015 that it is the ‘Age of Diabetes’ [39]. UK media were therefore considered a useful landscape to understand and contextualise how presentations of diabetes change over time in relation to discursive shifts about fatness. Our research question was therefore:

How do presentations of diabetes change over time in UK news in relation to presentations of obesity and the obesity epidemic?

A critical location in which these discursive tangles operate, and are visible, is within today’s media. The reporting of health risks in the media has become a core news business in the past two decades [40], likely reflecting enhanced cultural interest in health and health risks. In a spiraling fashion, news about health is designed to elicit public interest, but in doing so also directs it [40]. Through a cascading network of issue interpretation the media are thought to play a key role in setting public understandings about a range of issues [41]. Others argue they co-construct the structures through which the public understand health and illness [42] and bolster the visibility and validity of contemporary health ‘epidemics’ [15, 43]. Journalists admit that much of what drives reporting about health is newsworthiness and sensationalism, and that risk is a key way of garnering public attention [44]. While what the media ‘is’ is constantly changing, their role as an interface with public knowledge remains relatively stable [45]. Media products therefore showcase processes of public discussion, and are a useful platform for exploration of how the diabetes epidemic has evolved over time and in relation to the moral and cultural discursive shifts brought to bear during the earlier ‘obesity epidemic’.

Materials and methods

Sampling

A selection of newspapers was developed based on their completeness in electronic storage databases Factiva and Lexis Nexis from the early 1990s to 2013 (searching was undertaken February 2014). The three brands that offered high readership (determined via National Readership Statistics) as well as diversity in tone, political orientations and target audience were selected. We included The Times, The Guardian and The Daily Mail (see Table 1 below). The newspaper articles used in this sample are available online via Lexis Nexis and Factiva. We used both Lexis Nexis and Factiva to enhance the likelihood of gaining a complete set of articles published in these three papers and their Sunday editions across our time period of interest.

Table 1. Newspaper demographics.

Date Range 1990–2013 Newspaper Demographics
Databases Lexis Nexis + Factiva Political Orientation [46] Tone [47] Target Owned By
Newspaper The Times
Times on Sunday
Right
(Backed Tories last election; listed in top 3 for anti-labour articles)
Quality High SES Subsiduary of News UK, owned by News Corp, owned by Rupert Murdoch
[48]
The Guardian Left
(Backed Labour in last election)
Quality
Focus on independent journalism
High SES Scott Trust
[49]
The Daily Mail
Daily Mail on Sunday
Centre-Right
(Conservative/ Liberal Democratic support at last election)
Mid-market tabloid
Focus on women
Low or Middle SES Lord Rothmere via ‘Daily Mail and General Trust’
[50]

Keywords were drawn from the extant literature exploring how diabetes and obesity are discussed in the media and in academic and grey literature [1, 29, 3134, 51, 52]. These keywords were applied to the full text of articles in order to yield as many newspaper articles for analysis as possible (as shown below in Fig 1).

Fig 1. Keyword searches.

Fig 1

Searching yielded a total of 4280 articles in the 23 years between 1990 and 2013. We decided to isolate three years for analysis to more clearly explicate changes across time in how diabetes was presented in relation to our other search terms. Consequently articles published in 1993, 2001 and 2013 were extracted. Our logic for choosing these years was that the 2001 sample would capture early discursive changes after the obesity epidemic was announced and reported widely in 1997/1998 –three to four years after the increased media coverage. Analysis of the 2013 sample, 12 years later, would showcase whether any of those changes had been retained or naturalised. Analysing articles from 1993 would give a ‘baseline’ from which to evaluate the changes seen in later samples because it was thought to be pre-obesity era, and was also one of the earliest times at which articles were electronically indexed.

Articles from 1993, 2001 and 2013 were selected electronically in both Factiva and Lexis Nexis and imported into Zotero, where automatic de-duplication was undertaken by Author 2. From Zotero, the articles were then imported into NVivo (v10). The numbers of articles imported into NVivo for each subsample are shown below in Table 2, alongside further duplicates removed by title scan that had been missed by Zotero (n = 7). This secondary, hand duplication was completed solely by Author 1. Full-text articles were then read by Author 1. Articles were excluded only if they mentioned diabetes in passing but did not communicate anything meaningful about how diabetes was conceptualised in relation to the other search terms: for example, one article discussed the practices of a drug company that produced diabetes medications, but no meaningful content around diabetes in relation to obesity was included in the article. Authors 2 and 3 checked all articles proposed for exclusion in 1993; 50% from 2001; and 20% from 2013. The spread of resultant included articles across the three newspaper brands is also detailed in Table 2.

Table 2. Time-bound samples of newspaper articles.

Newspaper Articles Newspaper distribution
Retrieved Duplicates Exclusions Included The Times (Sunday) The Guardian The Daily Mail (Sunday)
1993 26 3 4 19 6 (0) 4 9 (0)
2001 130 3 8 119 35 (0) 13 67 (4)
2013 350 1 25 324 84 (0) 49 172 (19)

Positioning

We adopted an approach of empathic neutrality in this research. Patton [53] describes this as a criteria of good qualitative research whereby the researcher must occupy a ‘middle ground’ between becoming too distant from the research issue (as this can reduce understanding) or being too involved (which can cloud judgment). We were critically reflexive of our aim throughout the research to understand how diabetes and its epidemic was being talked and thought about in public domain as linked with obesity and the obesity epidemic. In this respect we were open minded about what we what might find and specifically sought out paired methods we could use to enhance the angles from which the data could be considered; one inductive and one deductive. We believed this would support us to maintain empathic neutrality. We report comprehensively and systematically on the findings by year in the findings section before reflecting on the changes across time, to further reflect our neutral approach.

Techniques of analysis

Studies in this arena have so far used critical discourse analysis [1], content analysis [31], and types of framing analysis [29, 34, 52]. Given the depth and detail pursued in this study, a layered approach to analysis was thought ideal. We decided to combine thematic and framing analysis with the aim of complementing and extending the robustness of knowledge in the field. Thematic analysis was first selected because of its inductive and flexible approach, plus its ability to build familiarity with data and develop rich, detailed descriptions [54, 55].

An innovative type of framing analysis was developed to secondarily analyse data. Framing analysis explores the ways in which issue presentations include or exclude certain information or viewpoints, to promote certain interpretations [56]. It is used often in media research yet only seldom in health and medical circles. Only two studies exploring diabetes used framing principles, applying them through quantitative design to large data samples [34, 52]. A qualitative approach was thought more appropriate here, given the richness and depth of the field of study. We decided to adapt a framing analysis promoted by Matthes and Kohring [57], which used Entman’s perspective of a frame being made up of four components, shown diagrammatically in Fig 2 [58]. According to Entman’s logic, these frame components make up a frame and all content of a full frame could be attributed to one of these four components.

Fig 2. Entman’s perspectives of framing.

Fig 2

We reasoned that we could use these frame components to drive coding under pre-decided frames of interest following the thematic analysis as a deductive coding strategy decided a-priori. This would provide an opportunity to consolidate and extend findings from the thematic analysis, ensuring there was a systematic approach taken to the data and that findings were triangulated with as much rigour as possible. More information about the method used is published elsewhere [59], and the procedures used for both methods are elaborated below.

Processes of analysis

Thematic analysis

Author 1 started with the sample from 1993, reading the sample to develop familiarity with the themes and content presented [55]. Axial and selective coding following Ezzy [60] in NVivo then developed distinct coding structures within each sample. These were reviewed by Authors 2 and 3, with findings were recorded as ‘initial’ observations. This process was repeated with 2001, then 2013. At the end of thematic analysis, Author 1 wrote up observations about the ways in which findings differed across the three samples. Authors 2 and 3 reviewed these drafts, providing input for conceptual clarity and rigour.

Framing analysis

We conceived that medical, behavioural and societal frames would be useful heuristic devices in this research. These three categories are important to public health where health is conceptualised to exist and operate through medicine, behaviour, and broader society. Findings from prior research in the field could also be organised according to these categories, providing further rationale they would be useful frames to examine within the data.

After the thematic analysis, Author 1 approached the 1993 sample with the a-priori framework (i.e. see Table 3 for an example of the societal frame), re-reading all the data while coding data in NVivo to only one of the four frame components under the relevant medical, behavioural, or societal frame (i.e. a total of 12 possible coding locations for each year). Some of the latent meaning embedded in news texts proved difficult to code, and coding concerns were resolved in collaboration with Authors 2 and 3.

Table 3. Example of societal coding frame and framing components.
Parent Node Societal Frame
Child Nodes Problem Definition Causal Attribution Moral Evaluation Treatment Recommendation

The findings from 1993 were recorded as initial observations, and the process was then repeated with the sample from 2001, then 2013. At the end of the framing analysis, Author 1 wrote up observations about the ways in which findings differed across the three samples. At this point, having completed both analyses, Author 1 considered the six groups of initial findings, reading between and across them, and explicating the differences derived from the two methods across the different years. These findings were tabulated and then discussed with Authors 2 and 3, which facilitated refinement of the six categories, enhanced the clarity of how each category differed (or overlapped), and provided working reflections drawn on for later interpretation. No major conceptual changes were made to these categories, however the language used to describe the findings emerged and evolved throughout these discussions.

Results

Framing of diabetes moved from medical in 1993, to behavioural in 2001, then to societal in 2013. In 1993 (n = 19) there was not a strong focus on links between diabetes and obesity, although obesity was acknowledged as a risk factor for diabetes, and having both diabetes and obesity was portrayed as a risk for more serious medical issues like heart attacks. By 2001 (n = 119) diabetes and obesity were frequently discussed in tandem and obesity was reported as causal to diabetes, in addition to being a risk factor. In both 2001 and 2013 (n = 324), increasingly technical gradations of modifiable risk factors for diabetes were highlighted (i.e. diet, exercise and weight). Race, ethnicity and culture however started to be positioned as states of ‘high risk’ for diabetes during 2001 and these ideas persisted in 2013 articles. Non-modifiable risk factors like age and family history were less prominent than weight, diet and exercise in both 2001 and 2013. Notions of blame and individual responsibility around diabetes emerged during 2001, with a particular focus on pre-/mothering practices. By 2013, concerns around an ‘avalanche’ or ‘epidemic’ of diabetes, caused by the prior obesity epidemic, were prominent.

We present our findings in three sections: years 1993, 2001, and 2013. We view that presenting the findings in this order provides the reader with an in-depth understanding of content prominent within each year. Within each section we first present a rubric that details the frames and frame components most prominent in that year (i.e. medical, behavioural or societal) indicated by the shading of the rubric. Darker shades indicate more prominence of that frame component amongst that years’ sample. These judgements were made by the researcher based on the quantity and salience of content coded across frame components within each year. In these rubrics we also outline key topics coded to that frame component. Following the rubric we provide subheadings to organise the findings from our thematic analysis, with links made to the framing analysis throughout. The subheadings used change slightly across years to reflect the discursive shifts in how diabetes and obesity were represented within the data.

1993

Fig 3 shows the frames and frame components most prominent in 1993.

Fig 3. The framing of diabetes in 1993 (n = 19).

Fig 3

In the figure BGL is shorthand for Blood Glucose Levels.

Modifiable and non-modifiable risks

In 1993, rather than diabetes being a main issue of interest in relation to obesity, information about diabetes tended to be communicated alongside or through discussions about heart disease, at that time cited as a major health issue. Diabetes was asserted to be ‘part of the ageing process’ [61] but dangerous when combined with heart disease and obesity, because it increased the risk of heart attacks.

Obesity was clearly identified as a risk factor for diabetes during 1993.

… obesity, with a BMI of 30 or more… is associated with significant health risks, especially heart disease, stroke, diabetes and cancer.

[62]

Only one account in this sample identified that weight might be a possible symptom of another disease, rather than a risk [63].

In 1993, the only piece to talk about genetics or ethnicity described the evolutionary mismatch between western diets and the genome of Pima Indians of Arizona. Family history or heritability was not linked to diabetes within this sample.

They had survived on crops such as sorghum and often faced long periods of hunger until the white man introduced them to fatty foods. Now almost all the elderly members of the tribe are overweight and diabetic because of a genetic tendency to make excess amylin. This is useful when food is scarce as it concentrates glucose on fatty energy reserves. But it can prove disastrous when plentiful fat-rich food is available, as the amylin pours more and more glucose into fat and triggers diabetes.

[64]

Interpreting proposed responses to the issue

Pharmaceutical management was most commonly recommended as a response to diabetes in 1993. The focus on diabetes as a medical problem with medical solutions contributed to diabetes being framed as a medical issue during this time period, despite links made with obesity as a risk factor. Some behavioural conceptions were present, in that sedentary lifestyles were noted to be leading to an increase in chronic disease, including diabetes. Exercise and diet were identified as useful in managing diabetes once it was diagnosed.

One article suggested some moral evaluations of people who had diabetes, although it inconsistently delineated ‘dieters’ from ‘diabetics’ throughout the piece, so it wasn’t clear if they were inferring that diabetics were big eaters, or that dieters were lucky that they could use the diabetes pill.

Dieters’ dream pill; ‘CURE’ FOR DIABETES COULD LET THEM EAT CAKE AND STAY SLIM, SAY SCIENTISTS

[64]

2001

Fig 4 shows the frames and frame components most prominent in 2001.

Fig 4. The framing of diabetes in 2001 (n = 119).

Fig 4

In the figure BGL is shorthand for Blood Glucose Levels; GT is shorthand for Glucose Tolerance.

In 2001 medical framings of diabetes highlighted the biological impacts of increased insulin, emphasising its serious, risky and ‘deadly’ nature. More discrete and nuanced risk categories for diabetes were also outlined. Behavioural framings of diabetes were most prominent in 2001 compared to medical or societal framings of diabetes, and emphasised the role of obesity as a cause/risk for diabetes. In addition, ethnicity/race/culture and lifestyle elements began to be linked with diabetes risk. Societal framings of diabetes started to emerge in 2013, focusing on the increasing rates of diabetes, the consequent scale of diabetes as a national health problem, and the associated financial implications to society.

Modifiable risks/causes

By 2001, diabetes and obesity had started to become more topical, evidenced by an increasing number of news articles. Diabetes was often discussed in articles describing the ‘obesity epidemic’, while other articles focused exclusively on diabetes as an emerging health problem, for which obesity was reported as a risk factor and/or a cause.

Discussion about the aetiology of diabetes became more technical, with in-utero risk acknowledged to have some role. During 2001, medical framings emphasised enhanced levels of diabetes risk.

All the same, the symptoms are all there: high blood pressure, raised levels of telltale fats called triglycerides found in the blood, and insulin resistance—an acquired resistance to the body's vital glucose-handling hormone. Diabetes and heart disease are lying in wait for anyone with this group of symptoms, collectively known as Syndrome X.

[65]

Behavioural framings of diabetes were most prominent in 2001 in comparison to medical or societal framings. Notably, obesity started to be explicitly labelled as a cause in addition to a risk factor.

One of the main causes of Type 2 diabetes is obesity.

[66]

In addition, being overweight was also implicated as causal to diabetes, expanding the body sizes that were correlated to ‘result in’ diabetes.

Other consequences of being overweight are more dangerous and include diabetes type 2.

[67]

Sugar was talked about specifically during 2001 as a meaningful part of the weight gain equals diabetes conundrum at this time, extending the equation to: sugar = weight gain = diabetes. It was more common that sugar was described in relation to risk rather than fats, and as such, sugar become enmeshed in the conceptual picture available to individuals regarding the causation of weight gain and diabetes.

SUGAR: A form of carbohydrate energy, so it's fine in moderation. But too much, particularly spread through the day rather than eaten in just one or two sessions, can lead to tooth decay and can increase the amount of insulin you release, leading, over a lifetime, to a greater chance of weight gain (insulin encourages fat deposition) and diabetes.

[68]

In 2001, seven accounts noted that age had a role in developing diabetes. This fact was often quoted in order to situate the earlier onset of the disease, particularly in reference to increasing diabetes rates in the UK and most regularly as a partner-in-crime to obesity—the ‘trigger’ for diabetes.

Reasons for the predicted increase include an ageing population: diabetes is more common in older people and the epidemic of obesity, which can trigger diabetes.

[69]

…in 20 years’ time more of today's children will be dying from obesity-related diseases, such as type 2 diabetes… “We're talking about an epidemic,” he says, “and if we don't do something now, the next time we see these children is when they turn up in their thirties with heart disease and diabetes.”

[70]

Non-modifiable risks/causes

As with the 1993 sample, only one account provided an alternative account of how weight was related to diabetes, mentioning it as a symptom of Type 1 Diabetes in children [71]. Considering the growth in sample size between these years (i.e. n = 19 in 1993 and n = 119 in 2001), this notion became more marginal. One other 2001 article identified that although better screening may have been driving the increases in Type 2 Diabetes, ‘fatness’ was the real driver of increased diabetes rates.

The researchers, from Cardiff University and the Heart of England NHS Trust in Birmingham, said the rise [in diabetes rates] may be partly due to better screening, since GPs now have performance-related pay that rewards them for diagnosing sufferers. However, they said rising obesity was the main driver. Lead researcher Professor Craig Currie said: It s almost entirely obesity. How fat you are is the top and bottom of it.

[72]

In 2001 four ethnic ‘divisions’ were referenced in risk for diabetes; with African, Carribean and Asian groups identified to be at five times the risk of other groups [66]. The term ‘ethnic minority’ was used once in relation to higher risk of the condition [73]. Insulin resistance, identified as a precursor to diabetes, was discussed as particularly common to various ‘races’ [74].

Despite being a strong indicator for diabetes risk in the extant literature, family history was only associated with diabetes risk in five Daily Mail stories and one from the Guardian. Of those accounts, only one asserted that the risk was correlated with how close the family member was [75]. Another stated personal risk of diabetes as 15% if either one of your parents had it [66], which under-represents the relationship. Individuals were instead tasked with negating diabetes risk by keeping a healthy weight.

Q: DO you have a family history of heart disease, diabetes, prostate or bowel cancer? Obesity is a risk factor for all of these conditions, so keeping to a healthy weight as you age can reduce your risk.

[76]

Interpreting proposed responses to the problem

Modifiable risks for diabetes were presented as critical for preventing the condition in 2001. Weight loss through exercise and diet were often promoted as ‘solutions’ to ‘protect’ yourself from diabetes risk. Moral evaluations started to surface around people who developed diabetes in light of its preventable nature—neglecting to action ‘simple’ changes in diet and exercise. In the second quote, a link between individual action and the ‘epidemic of Type 2 diabetes’ is made.

This evidence that diabetes is a preventable illness has enormous public health and economic implications… anyone with one or more of these risk factors can take effective steps to protect themselves with specific lifestyle changes.

[66]

Walking for just 30 minutes a day could halve the risk of developing diabetes, researchers have found. Simple changes in diet and exercise may halt the epidemic of Type 2 diabetes… ‘…to go for a walk with your spouse doesn't seem to me to be asking the impossible.’

[77]

During 2001 it was also identified that obesity and poor nutrition logically ‘lead to’ diabetes across the entire life span, including in children. The ‘poor diet time bomb’ is presented as a mix of obesity, sedentariness, poor diet and diabetes in the context of the current generation growing into adulthood.

POOR DIET TIME BOMB: TYPE TWO DIABETES… ‘There's a lot of research to show that obesity, lack of exercise and poor diet lead to type two diabetes in adulthood,’ says Mairi Benson of Diabetes UK.

[78]

The notion of children-at-risk was a prominent topic in 2001 and tended to frame the diabetes problem as an individual responsibility issue that had implications for broader society. This coincided with the increased attention on maternal bodies and mothering practices, where in-utero risk, pre-pregnancy diets and early life practices were portrayed as entwined with diabetes risk for children. The attention on mothers’ biology (i.e. medical frame) was juxtaposed with a responsibility on mothers to prevent diabetes in children (i.e. behavioural frame).

In the United States children and young people in their teens are developing this sort of diabetes, and it is linked with obesity. Copelman says that although diet is important, the key factor is exercise. Children are leading couch-potato lives. They do less exercise at school and are driven everywhere because of increasing concerns about safety. Our children's lifestyles reflect ours as parents.

[79]

The cost of diabetes to society via health services and the national economy, as a result of being overweight, was a dominant topic in the societal frame during 2001. Prevention and early detection were presented as part of the answer to this problem; however this societal issue was often depicted as a result of overweight.

About 1.4m Britons are diagnosed with diabetes, a figure that will probably double by the end of the decade since more people are expected to become overweight.

[73]

2013

Fig 5 shows the frames and frame components most prominent in 1993.

Fig 5. The framing of diabetes in 2013 (n = 324).

Fig 5

In the figure BGL is shorthand for Blood Glucose Levels.

In 2013, diabetes vis a vis obesity was framed as a societal issue much more strongly than as a medical or behavioural issue. An emphasis on ‘alarming’ rates of the condition carried across from 2001 and ‘societal safety’ in relation to the epidemic became a prominent theme. Causal attribution (i.e. individual practices) and treatment recommendation (i.e. altering individual practices) of the behavioural frame remained prominent, sustaining the emphasis on diabetes as an issue of individual responsibility—a notion which, when appearing in concert with a societal framing of diabetes, enabled the ‘national conscience’ to be brought into question, powering up concern around individual practices to an issue of national importance.

Modifiable risks/causes

The ability to position diabetes and obesity as a societal issue during 2013 relied on many of the important developments from prior years. For example, during 2001, obesity and overweight were both described as discrete causes of diabetes. In 2013, weight is used to explain rising rates of diabetes at a societal level more consistently and confidently, continuing the presentation of weight/obesity as causal to diabetes. This was seen across all three papers. No accounts in this sample challenged the view that being overweight could be a symptom of diabetes, rather than a ‘cause’.

ONE in 20 Britons is suffering from diabetes as a result of soaring obesity rates, a shocking study has found.

[80]

Since 1996 the number of people with diabetes has increased from 1.4 million to 2.9 million, largely linked to weight increase.

[81]

…the academy says doctors are “united in seeing the epidemic of obesity as the greatest public health crisis facing the UK. The consequences of obesity include diabetes, heart disease and cancer and people are dying needlessly from avoidable diseases.”

[82]

The salience of sugar in catalysing obesity, and therefore also playing a causal role in the epidemic of diabetes, was portrayed in many articles during 2013. A moral reading on sugar and sugar consumption was also prevalent at this time, and fostered certain interpretations about people seen to be eating sugar.

Sugar is behind the global explosion in type 2 diabetes, researchers will announce today in a report claiming it plays a uniquely damaging role in a disease that experts fear could overwhelm the NHS. Obesity is usually cited as the main driver of diabetes. But a study by US medical researchers identifies sugar as a predictor of diabetes separate from obesity.

[83]

Still, it seems ridiculous to liken food to hard drugs—is it an overstatement? There is evidence that sweet foods do hit the pleasure and reward centres in the brain rather like hard drugs… leads to insulin resistance (where insulin becomes less effective), high blood pressure, diabetes and unhealthy cholesterol levels—all risk factors for cardiac disease. You don't even have to be overweight for this to occur.

[84]

Further, the danger attributed to diabetes as a medical issue in 2001 was transplanted into ‘alarming’ reports of diabetes as a societal issue in 2013.

The charity's Scottish director, Jane-Claire Judson, said: “We are not scaremongering … if 18,000 to 19,000 people a year were contracting meningitis or bird flu we would be really, really concerned. It is a major problem.”

[85]

Non-modifiable risks/causes

Only 14 of the 324 articles in 2013 described ageing having a role in diabetes development, or an ageing population influencing diabetes statistics. Unhealthy lifestyles and fatness were at times used to minimise the importance of ageing in the causal profile of diabetes. At other times, they were presented as the two key drivers of diabetes in the UK.

The soaring rate of type 2 " which mostly affects middle-aged people " is being blamed on obesity.

[80]

With the number of diabetics expected to double from the present 2.5 million to 5 million within a generation—a consequence of an ageing population and unhealthy lifestyles—they say that the NHS risks being overwhelmed by the cost of treatment.

[86]

In 2013, 13 articles identified family history in T2DM aetiology: 11 from the Daily Mail and two from the Times. Similarly to 2001, however, the importance of familial risk in disease aetiology was understated in relation to other risk factors, most notably weight and/or ‘lifestyle’, often used loosely to refer to being overweight.

Some are genetically more at risk but lifestyle is the key trigger, he said, adding: It’s still quite rare but we do see them. In the huge majority of cases type 2 diabetes develops as a consequence of being overweight. So as the weight of the nation increases, the incidence goes up too.

[72]

“Certain genes are dictators, like the genes for blue eyes or brown hair. There's nothing you can do about them. The genes for Alzheimer's and other diseases such as diabetes are more like committees: they make suggestions. Lifestyle factors have a profound effect on determining our health, regardless of our family's medical history. What we eat and drink can help determine who thinks clearly decade after decade and who is affected by a terrible tragedy.”

[87]

Only one article in 2013 endorsed the importance of a genetic influence in the development of diabetes, in addition to weight and lifestyle.

Type 2 diabetes is normally associated with obesity and a couch potato lifestyle—not heroic athleticism. Even now no one can tell for sure why he developed it—but it could be that it was unlucky genes… Although the biggest risk factor for type 2 diabetes is weight, genes can also have an important role… If one parent has type 2, then you have a 30 per cent chance of developing it. If both parents do, then that risk is 50 per cent. It is possible to develop type 2 diabetes even if you are of a normal weight—just because of the genetics you inherited.’

[88]

Ethnicity also became an identifier in evaluating diabetes risk during 2013. 11 accounts discussed links between diabetes and ethnicity, tying it in with links to lifestyle and weight. Eight articles talked exclusively about South Asians, two also refer to black, Caribbean or African groups, and one article only uses the term ‘ethnic’. These groups were established to be at higher risk at a younger age and lower level of obesity—maintaining the link between diabetes and obesity [89, 90]. The aerobic fitness of these groups was presented to be lower than other ethnicities [91], and specific gyms were marketed as important for young Asian females at high risk of the disease [92]. A testimonial account unpacked the experience of living at such high risk for the disease:

‘I didn't want to be skinny, I wanted to be fit and strong, to have the energy to play with my kids, look good in my clothes and reduce my risk of problems like heart disease and diabetes. As an Asian woman, my ethnicity is proven to put me at greater risk of developing them.’

[93]

Two stories released on the same day in the Times and the Daily Mail reported on the high levels of diabetes in some boroughs of London. The Daily Mail piece extended the links genetic risk had with ‘race’ to culture and lifestyle, and the interplay of these elements.

Almost one in five people in Brent is from India: diabetes is especially prevalent among people of South Asian origin.

[89]

Scientists believe this is partly down to a genetic difference which means that their muscles do not burn fat well. Traditional cooking methods using oil, creamed coconut milk and high-fat butter called ghee may also play a role.

[94]

Interpreting proposes responses to the problem

Critiques of the necessary public health response in news articles mirrored the notion that diabetes was caused by unhealthy lifestyles, for which obesity was often a symbol. The recommended response tended to be broad scale prevention of diabetes via awareness raising and education, particularly around the role of lifestyle and weight. While a ‘pandemic of inactivity’ was described to be contributing to society’s diabetes problem, the inferred responsibility for solving this problem circulates around individual action rather than societal change.

The charity's chief executive Barbara Young said the aim is to ‘lay to rest the myth’ that type 2 diabetes is a mild condition. ‘This is a misconception that is wrecking lives and is the reason that as a country we are sleepwalking towards a public health disaster of an almost unimaginable scale,’ she said. Losing weight, eating more fruit and vegetables and becoming more active are thought to cut the risks of diabetes.

[95]

Four out of ten men and five out of ten women are still not active enough to benefit their health. This increases the risk of serious illnesses like type 2 diabetes, heart disease and certain cancers, and makes it more likely that people will be overweight or obese… [this] brings us closer to understanding the kind of societal shift that needs to happen before we truly combat the pandemic of inactivity. The figures are alarming and show that we need to take action now.

[96]

Another excerpt from the same Times piece denotes that this ‘pandemic’ is a result of non-compliance from medical advice, rather than an unintended impact of structural forces such as industrialisation.

Thousands of cases of cancer, heart disease and diabetes would also be prevented if people were as active as doctors recommend… The death and illness toll of inactivity is comparable to that of smoking, they say.

In 2013, the problem/s of diabetes and obesity also started to be portrayed as issues of societal safety. Warnings suggested that together they posed significant threats to societal and economic progress.

Poor lifestyles, increasing sedentary habits, obesity and diabetes threatened to eradicate advances made in Britain in recent years …

[97]

Soaring levels of obesity, which have been predicted to double by 2030, coupled with rising levels of diabetes and heart disease linked to poor diets and a lack of exercise, will overwhelm the dwindling numbers of nurses.

[98]

The children-at-risk narrative which was visible in 2001 was also drawn on to further demarcate diabetes as an issue of public safety by 2013. Although mothers still received specific attention in 2013 news articles, the focus broadened to include ‘parents’ as responsible for diabetes prevention, perhaps in line with reporting that paternal sperm could be attributed to diabetes risk. These accounts are much more definitive in the tone and extent of their accusation than in the previous years, and link obesity or poor nutrition with diabetes.

We're used to hearing words like "obesity" and "diabetes" and "risk". We're also used to switching off. But this, unfortunately, is because we don't think about what it really means… we Brits are the biggest in western Europe. This is not a joke. This is, in fact, the opposite of a joke. We know what makes people fat. It's bad diet and not enough exercise, not cooking properly and not eating enough vegetables, and drinking too many fizzy drinks. And it's growing up with parents who don't care enough about what you eat.

[99]

Are we destined to self-destruct? Not necessarily. It seems particularly terrible to me that small children are developing type 2 diabetes because of what their parents feed them.

[100]

Missing features of diabetes presentations across the years

Notably, while poverty has long been associated with diabetes this idea was not well-represented in news articles from any year. In 1993, no connection was made between poverty, social context and diabetes. In 2001, two narratives did engage with the inequitable distribution of diabetes by income distribution; however they were connected through the types of lifestyles lower socioeconomic groups had, rather than the types of lifestyles that their resources afforded or encouraged them to take up.

Dr Ian Banks, president of the Men's Health Forum, said that a person's life expectancy almost mirrored their social deprivation. He said people in low income brackets tended to smoke more and eat less healthily than professionals. They tended to suffer higher rates of obesity, cardiovascular disease and diabetes than those in higher income brackets. “They are getting the killers that reduce life expectancy,” he said. The gap between the richer and poorer in Britain was growing.

[101]

In 2013, there were a number of equity narratives outlining geographical variations in diabetes care. The only piece in 2013 to connect poverty, processed diets and diabetes risk was a sessional piece published in the Guardian. This article also challenged the idea that diabetes was an issue of individual responsibility. However, they advocated for stricter nutritional guidelines amongst the food industry, rather than targeting upstream issues.

Burger jokes have been ten a penny over the past week, but the impact that this sort of junk has on people's lives is not funny at all. People on low incomes suffer far higher rates of diet-related disease, and not just obesity… Mothers from low-income groups are more likely to have children of low birthweight, who, in turn, are likely to suffer poor health and educational prospects as a result. They have more childhood eczema and asthma. They have higher rates of raised blood pressure, thanks to their processed diets. They are more likely to suffer diabetes, heart disease, vascular disease and strokes… Adulteration of food, legal or otherwise, is no laughing or sneering matter.

[102]

Variations between newspapers

There were some variations in the reporting styles and tendencies of newspapers which should be noted to provide a deeper context through which to interpret the findings. Firstly, the Daily Mail had more health articles than either of the other papers, and also tended to run more sensationalist reviews of health issues than the other papers. The Times and Daily Mail often reported on the same content on the same day, however The Guardian also used the same copy at times indicating their link to the Associated Press from which they gather daily content.

The Times had a more economic focus than the other two papers and often highlighted the economic issues associated with the problem of diabetes. The Guardian, despite being politically centre-left, exhibited many of the same trends towards obesity as ‘causal’ to diabetes. While moralising judgments about the development of diabetes were less common they were still present. Considering the Guardian’s assertions of independence and advocacy, perhaps it could point to a relatively pervasive uptake in public discourse of the assumptionist perspectives highlighted in this study.

Further, throughout the analysis it emerged that the mentions of obesity as ‘causal’ to diabetes were present across many different types of articles. During coding articles were categorised into those reporting on medical research, health intervention, ‘lifestyle’ advice and opinion pieces, and all of these mentioned obesity as a cause for diabetes. Significantly, the near-total absence of counter-narratives shows that the dominant meanings around diabetes in conjunction with other key terms were remarkably widespread.

Discussion

This discussion aims to provide a brief description of changes in diabetes presentations which occurred over the time period that the obesity epidemic was gaining traction in public discourse. While possibilities for ‘civic-oriented journalism’ may be drawn from the following discussion [103], the intention remains on exploring the way in which socio-cultural discourses appear to be reflecting nuanced discourses about health, risk, illness, blame, and responsibility.

Type 2 diabetes (and obesity): The collapse of risk into ‘causality’

“It doesn't seem surprising to learn that obese children are more likely to havesigns of the early stages of type 2 diabetes—a disease traditionally associated with overweight adults”

[104]

Between 1993 and 2001, obesity transitioned from being portrayed as a ‘risk’ factor for diabetes to a ‘cause’, a change that was naturalised by 2013. This finding coincides with other suggestions that diabetes causality is described with deceptive simplicity in western media [1, 29, 31, 34, 52]. It also further legitimises concerns that obesity and diabetes are being convincingly conflated in public literature [1, 32, 33]. The narrowing of diabetes presentations between 1993 and 2001 provides reasonable evidence this convergence was influenced by the WHO [38] Obesity Report and associated public discussion.

It is likely that epidemiological evidence has been playing a role in strengthening perceived associations between factors which are not necessarily causal [10, 13, 105, 106]. Shortly after the WHO report was released (i.e. 2000), links started to be made between obesity and diabetes in the same populations [1]. England are specifically mentioned in the WHO report as having doubled their ‘obesity levels’ in a relatively short period of time [38], which may have encouraged specific measurements of these factors in the UK. The report also raises that even ‘relatively small increases in body weight’ influence health risks [38], perhaps contributing to the prominence of overweight as well as obesity in discussions about health risks.

The sheer physicality of fatness is difficult to hide [107]. The larger body can provide a very strategic reference point for a neoliberal governance enacted through visibility and surveillance [108], often as a symbol of an ‘unhealthy lifestyle’ as evidenced by the interchange of these terms in 2001 and 2013. Other visible features of diabetes risk, however, also became prominent between 1993–2013 –even in a sample focused on exploring linkages between obesity and diabetes. Race, genetics, ethnicity and culture were arenas in which diabetes risk was communicated, particularly so in 2013. The construction of ‘ethnic groups’ existing at such ‘high risk’ for diabetes opens up opportunities to legitimise concern about particular racial groups through health discourse [3, 109]. Patterning diabetes risk to visible characteristics is a key cause of suspicion in how health discourses are generated in the new public health.

As Fee [110] noted, tying diabetes (and obesity) with ethnicity enables obfuscation of the fact that so-called ‘ethnic groups’ who experience higher rates of diabetes are also often significantly disadvantaged, which may actually be the cause for their increased risk of diabetes and/or obesity. Aspects of nutritional discourse in this way present blank slates onto which ideals can be projected in contemporary industrialised life [111]. Keval [112] argues that the term ‘ethnicity’ in the UK is widely being linked to notions of ‘disease’ which centre around culture and lifestyle, particularly for South Asian populations. This may consolidate the illusion that ethnicity is really ‘the problem’ rather than the way society is unequally structured. Ongoing academic work into ethnic groupings of diabetes [113] must ensure that effects of poverty and marginalisation are not repackaged as ‘genetic flaws’.

Type 2 diabetes (and obesity): The expansion of risk

“Type 2 diabetes is something we could all develop."

[85]

By 2001, diabetes risk was portrayed as ubiquitous: everyone, everywhere, could be or become at-risk of the disease (in conjunction with obesity and overweight). Understanding that one’s health is always in jeopardy [3] is acknowledged to keep one attentive to the possibility of future illness; effectively what was once ‘normal’ becomes ‘problematised’ [114, 115]. Campos [12] identified that discourses around obesity were significant because they enabled what was initially normal to be viewed as problematic, because everyone everywhere is at risk of becoming too fat. The evolution of diabetes presentations in the news, vis a vis obesity, showed similar curvature.

Through linking diabetes with obesity, the importance of preventing weight gain is further reinforced. The fact that diabetes risk is entwined with food and consumption ensures that a wide range of necessary nutritional practices stay problematized. During 2001 and 2013, the enhanced specificity and complexity of diabetes prevention mechanisms focused around food further imbued a range of food practices with convincing concern about diabetes risk. This creates a range of new sites of guilt, blame, risk, and stigma [116]. By 2013, sugar was thought to confer such a high degree of risk for the condition that it was likened to hard drugs.

This shift enhances the attentiveness required to eating, an everyday activity essential for human survival—both for one’s own safety, for potential offspring and for broader society. The attentiveness required is bolstered by the increased hazardousness and alarm with which diabetes was presented. For those who do not have the resources to access a so-called healthy diet, this is likely to engender anxiety, guilt and stress; particularly around the emotionally-charged issue of children’s risk. The emergence of formalised, technical gradations of diabetes risk during 2001 and 2013 contributed to outlining the wider range and degree of risk potential that could be applied to the normal population. As Hacking asserts [105], these epidemiological categories are foundational to bringing risk into the everyday space. All of these shifts foster an enhanced dependence on the practice of medicine as a whole [108].

Type 2 diabetes (and obesity): An evocative epidemic

Epidemic: NOUN

1. “A widespread occurrence of an infectious disease in a community at a particular time.”

2. “A sudden, widespread occurrence of an undesirable phenomenon.”

Synonyms: outbreak, plague, scourge, infestation

[117]

The convergence in diabetes and obesity presentations at an aetiological level appears to have enabled the introduction of the diabetes epidemic as the twin or result of the obesity epidemic, as McNaughton [1] earlier suggested. After the issue of diabetes was constructed as an issue of personal failure in relation to obesity, this logic could then be extrapolated to understand diabetes at a societal level, portraying certain (larger-bodied) groups as having failed their duties of citizenship. The evocative imagery of epidemics are disturbing and unethical [7]. The assertion that diabetes is obesity’s ‘twin epidemic’ appears to be facilitating the furthering of moral panic in health discourse [7, 118120], first described by Cohen [120] as a legitimising process of public scorn, suspicion, and fear, where the causes of societal problems are blamed on certain groups. He called these groups folk devils.

As in other work [118, 121] mothers tended to be constructed as the folk devils of moral panic around diabetes (although parents do also play a more minor role in these discourses). The introduction of children’s safety into diabetes discussions moved this issue outside of public health into broader societal critique, advancing moral panic into new territory [107]. Ulijaszek and McLennan [36] in their review of obesity policy documents also identified that risk and danger debates pointed to caregivers as failing their ‘moral’ responsibilities and citizenship, while the societal inequalities that led to those risks and dangers remained invisible. Similarly, it also appears that certain ‘ethnic groups’ are being constructed as likely to develop diabetes [110, 112, 122], mixed with assertions of ‘unhealthy lifestyles’ with disregard to the social inequalities that are probable to underpin diabetes risk. Claims that diabetes could ‘destroy’ or ‘reverse’ Britain’s progress demand individual responsibility for diabetes (and obesity) prevention, and are troubling because the perceived blame for such grave issues rests on societal groups who already experience disadvantage.

The capacity of the ‘obesity epidemic’ to maintain such a stranglehold on the political economy of risk and individual action is thought possible because of entrenched moral and cultural ideologies about fatness [37, 123, 124]. The ‘obesity epidemic’ was already being understood in the UK as an issue of over-indulgence [36], so it is likely that a diabetes epidemic regenerates moral concerns about food, the body and fatness in the same way which health discourse around obesity has done [107]. Reductive discourses like these undermine human wellness through the sanction of stigma and marginalisation [125], and often work in direct opposition to the human rights principles that underwrite contemporary public health [4].

Strengths and limitations

Not having a full-blown tabloid (i.e. Daily Express, Star, Mirror) in our sample may have been a small limitation, however they were not fully indexed at the time so not accessible for research purposes. Several tabloids do however draw their content from the same newsgathering organisation (Associated Press) as those included, so there was likely to be some overlap in the content of reports [50]. Our reasoning in selecting 1993, 2001 and 2013 as sample years was based on our logic around key events related to the obesity epidemic, which we cannot claim to be representative of total shifts in diabetes presentations during this time. The paired thematic and framing analysis was a new innovation and as such required ongoing reflexivity around how principles of thematic and framing analyses could or should be translated into our analysis. We feel however this showcases flexibility of research design according to social context, consistent with good quality qualitative research [126]. Overall, our study adds usefully to the critical literature around postmodern health epidemics and provides the first longitudinal analysis of the emergence of the diabetes epidemic in relation to the earlier obesity epidemic in UK news material.

Conclusion

A coalition of moral, cultural and political discourses about health and lifestyle appear to be at play in shaping how diabetes and its epidemic are represented and understood in UK media in conjunction with obesity. Shortly following announcements of the ‘obesity epidemic’, obesity became more central to descriptions of diabetes. This included the shift from obesity as a risk factor for diabetes to a cause of the disease, as well as the ‘diabetes epidemic’ being portrayed as a direct consequence of the ‘obesity epidemic’ as has also been shown in Australia and Canada [1]. Together, these events likely extend and consolidate medico-moral concerns about the fat body [7] and the ‘fat-tainting’ of contemporary health more generally [9].

The emergence of ‘moral panic’ is evident in relation to a ‘diabetes epidemic’ and appears to be driving and reinforcing structural inequalities, by enabling some groups to re-create their success through the display of the generative ‘healthy lifestyle’ concept in a healthist society [6]. This can promote blame-oriented tendencies [127] towards those who appear to have or inhabit ‘unhealthy lives’, often a consequence of social inequality. The emergence of such certainty about the individual role in bringing on diabetes demonstrates the discursive possibilities which surround health, risk and ‘epidemics’, but also the adaptive possibilities of neo-liberal governance. The freeform adoption and evocative imagery of the ‘epidemic’ in relation to diseases linked with individual responsibility is disturbing and unethical [7]. The use of reductive and responsibilising discourses have been shown to undermine human wellness [125] through sanctioning stigma and working in direct opposition to the human rights principles that are supposed to underwrite contemporary public health [4]. While the ‘new’ public health has already departed from its original vision to reduce health inequities [128], a more critical public health must continue to expose the pervasive and adaptive nature of these hegemonic discourses.

Data Availability

The data underlying our study are third party data, however we do not have permission to legally distribute these data within the parameters of copyright law. The data can be accessed by using the search terms and time periods specified in the methods section of the paper (keywords appear in Fig 1). No special access privileges beyond subscription to Factiva and Lexis Nexis databases are required.

Funding Statement

The author(s) received no specific funding for this work.

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Decision Letter 0

Quinn Grundy

12 Sep 2019

PONE-D-19-22797

Monitoring the ‘Diabetes Epidemic’: A Framing Analysis of UK Print News 1993-2013

PLOS ONE

Dear Mrs Foley,

Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.

==============================

Thank you for the opportunity to review this critical, sociological analysis of UK media coverage of the so-called 'obesity epidemic.' Please respond to each of the reviewers' comments below and particularly, note that reviewer #1 has submitted their comments in the attached file.

Qualitative, critical approaches are still relatively new to many of PLoS One's reviewers and readers. I encourage you to carefully consider each of the reviewers' comments, but you may wish to provide some explanation and justfication of your critical approach both in the response and in the paper, in lieu of making the requested changes; for example, justifying the use of the term "fatness,"  explaining why it is generally inappropriate to quantify the proportion of articles using each frame, or the purposive (rather than "arbitrary") nature of sampling.

==============================

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Reviewer #1: To be able to judge the manuscript as technically sound more detail is needed in the methods section, particularly around the search strategy and data screening process, as well as more information about the process of analysis. I have provided specific comments on these aspects in the attached file.

Reviewer #2: The paper investigates how the issue of diabetes was represented in UK newspapers overtime. While the topic is important as diabetes has reached the epidemic level in UK, I have several concerns regarding the methodological appropriateness and clarity of the paper.

1. Regarding the sampling of newspaper articles, authors might want to further justify why three specific years were chosen. it seems very arbitrary why 1993, 2001 and 2013 were selected and there is no evidence provided whether the news stories in these three years are representative at all in examining the shifts in the diabetes discourse.

2. It is also not clear how thematic analysis and framing analysis are different from each other. Given the vagueness around the concept "frame" and "framing," it is important that authors carefully review past literature to narrow down the concept to justify framing analysis as a content analysis method, especially when combining it with other methods.

3. As the focus is on the changes in how diabetes is depicted in news discourse, the authors might want to also provide descriptive data quantifying the proportion of articles using each frame for each selected year under analysis before going into details regarding the specific elements included in the frames? It will be easier for readers to interpret the results. Also, the result section seems to be loosely structured which makes it a bit hard to follow.

**********

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Attachment

Submitted filename: PLOSONE_Diabetes media framing Review Sept 2019.docx

PLoS One. 2020 Jan 17;15(1):e0225794. doi: 10.1371/journal.pone.0225794.r002

Author response to Decision Letter 0


23 Oct 2019

Editor Response

Thank you for the opportunity to review this critical, sociological analysis of UK media coverage of the so-called 'obesity epidemic.' Please respond to each of the reviewers' comments below and particularly, note that reviewer #1 has submitted their comments in the attached file.

Qualitative, critical approaches are still relatively new to many of PLoS One's reviewers and readers. I encourage you to carefully consider each of the reviewers' comments, but you may wish to provide some explanation and justfication of your critical approach both in the response and in the paper, in lieu of making the requested changes; for example, justifying the use of the term "fatness," explaining why it is generally inappropriate to quantify the proportion of articles using each frame, or the purposive (rather than "arbitrary") nature of sampling.

Thank you for the invitation to respond to the reviews provided, and for the helpfulness of the reviews, particularly so #1. This has helped us to improve the paper. In the table below I have outlined our responses to each point, whether or not this be to revise the paper or strengthen our rationale for particular decisions questioned by the reviewer/s.

In revising the manuscript, we have also considered the newness of critical qual approaches to PLoS One’s audience and attempted to provide further transparency where possible. We have also edited some areas to keep the paper as concise as possible.

1. Please ensure that your manuscript meets PLOS ONE's style requirements, including those for file naming. The PLOS ONE style templates can be found at

http://www.journals.plos.org/plosone/s/file?id=wjVg/PLOSOne_formatting_sample_main_body.pdf and http://www.journals.plos.org/plosone/s/file?id=ba62/PLOSOne_formatting_sample_title_authors_affiliations.pdf

I have double-checked that our manuscript meets these style requirements.

2. In order to meet PLOS ONE's reporting requirements we would be grateful if you could ensure that you have included the following information in your manuscript:

A) Detailed inclusion and exclusion criteria for articles included in your study, in sufficient detail such that another researcher could replication your study.

B) Indicate the number of articles excluded from your study in Figure 1, with reasons.

C) Indicate the number of articles included from 2013 in Figure 1 (current figure indicates "N = XX").

D) Update the Methods section of your manuscript to indicate the full search strategy and keywords used.

A) We have provided more detailed information about this, to enable replication by another author.

B) I have amended this Figure and included a table which describes the exclusion processes in more depth.

C) I have revised the provision of this information to a figure of the search terms and a table with more detailed exclusion/inclusion. Apologies for the omission.

D) We have updated the methods section to indicate the full search strategy and keywords used.

Please note Reviewer 2 is included first then followed by Reviewer 1

Reviewer #2 Response

The paper investigates how the issue of diabetes was represented in UK newspapers overtime. While the topic is important as diabetes has reached the epidemic level in UK, I have several concerns regarding the methodological appropriateness and clarity of the paper.

1. Regarding the sampling of newspaper articles, authors might want to further justify why three specific years were chosen. it seems very arbitrary why 1993, 2001 and 2013 were selected and there is no evidence provided whether the news stories in these three years are representative at all in examining the shifts in the diabetes discourse.

I have made it clearer in the materials and methods section why we purposively sampled from years of 1993, 2001 and 2013. I have also revisited these ideas in the limitation section and identified we cannot claim for this knowledge to be representative of total shifts in diabetes discourse over time.

2. It is also not clear how thematic analysis and framing analysis are different from each other. Given the vagueness around the concept "frame" and "framing," it is important that authors carefully review past literature to narrow down the concept to justify framing analysis as a content analysis method, especially when combining it with other methods.

We have provided more detail about the framing analyses used by others in the field and our use of a framing concept for a-priori for deductive coding. Since this paper was drafted we have published a paper in Qualitative Health Research which describes the methodology for this paper in more detail, and provides a review of framing analysis in research disciplines over time. This has been indicated in the paper so readers can pursue further, specific information regarding the development of the method, as they require.

3. As the focus is on the changes in how diabetes is depicted in news discourse, the authors might want to also provide descriptive data quantifying the proportion of articles using each frame for each selected year under analysis before going into details regarding the specific elements included in the frames? It will be easier for readers to interpret the results. Also, the result section seems to be loosely structured which makes it a bit hard to follow.

I have made it clearer in the introduction to the results section how the frames are represented throughout the years – this makes the detail regarding specific elements easier to digest, and the rest of the results section easier to follow. Given that we innovated a new framing analysis, which differs from content analysis and did not code whole articles to a frame, it is not possible to quantify the frames present in this way.

I have also revised the introduction for each years’ section, to more clearly highlight the frames most prominent within each year, before going on to provide the detail in the body of those subsections.

Reviewer #1 Response

To be able to judge the manuscript as technically sound more detail is needed in the methods section, particularly around the search strategy and data screening process, as well as more information about the process of analysis. I have provided specific comments on these aspects in the attached file.

Additional File Follows

This paper reports on a longitudinal analysis of how the ‘diabetes epidemic’ dialogue has played out in UK newspapers over a 20-year period. While this is an interesting and novel study, which has been well situated within the literature, there are some concerns around the methods and the results that I believe need to be addressed prior to publication.

Introduction

Main text, pages 5-6: You have touched on the issue that diabetes is a complex disease for which we do not know the exact causes, but, given the focus of your analysis on how the causes/risk factors for diabetes are presented, I think it would strengthen your manuscript to include a more detailed discussion of how the evidence base and our understanding of the factors associated with diabetes have shifted over the 20 years that you selected for your sample – this would allow for a more nuanced understanding of the shifts in discourse – for example, to what extent do some of the findings represent new understandings about diabetes (I noted for example that a number of your quotes included experts commenting on diabetes)?

While we recognise this may be strengthen the article, sufficiently tracing the archaeology and complexity of diabetes evidence between 1993-2013 is worthy of another publication on its own and therefore outside the scope of this paper. Further, given the feedback provided later around being more explicit about the relationship between diabetes and obesity (as drawn from our search terms), the key events in this story are reflected in our introductory sections.

Page 3, line 63: “…constructed in public imagination” – I suggest changing to “constructed in the media” or similar given that the focus of your analysis is only on the content of news media and not how this is interpreted by publics (construction of issues within the ‘public imagination’ will be the result of an interplay between the content of the message and how it is received)

Thank you for this point, this has been adapted.

Page 4, line 86: What is meant by the term ‘Super Value’ in reference to health? This needs explanation for those not familiar with the term

I have removed this term and instead explained its implications, rather than using the term without implications.

Page 5, line 105: “Some authors point out that some evidence… was overstated” – can you be more specific here about what evidence is thought to have been overstated?

I have included this information, regarding how obesity was measured and classified.

Page 7, line 162: Here and in other places throughout the manuscript you have used the term ‘fatness’ instead of obesity, and these terms seem to be used interchangeably throughout. Is there a particular reason for this word choice? If not I would suggest simply using the more widely used (and less ‘loaded’) term ‘obesity’ throughout

The term fatness is often used in the critical health sciences to resist the ‘medicalisation’ of fatness – a physical bodily state for which health risks have potentially been overstated. This is well-represented in critical work around obesity (i.e. Gard and Wright; Boero). I have included a sentence early in the paper which contextualises and justifies the use of this term.

Materials and methods

Page 8, line 185: “databases – name them – from the early 1990’s” – I assume that the names of the databases should have been inserted here? Yes – apologies. This has been amended.

Page 8, line 188: Stated that The Sun newspaper was included, but Table 1 lists the Daily Mail – please clarify which of these was included in the sample. Also stated that ‘not having a tabloid’ was a limitation – The Sun is considered to be a tabloid in the UK, as is the Daily Mail (as you state in Table 1 where you refer to it as mid-market tabloid)

Yes – apologies. This has been amended. I have changed the language to talking about not having a ‘full’ tabloid as a limitation, and moved it to a limitations section between the discussion and conclusion.

Page 8, Line 191: Can you clarify which papers in your sample draw from Associated Press to see how much overlap there is likely to be within your included sample, as well as the overlap with the papers that weren’t included

All three of the newspapers we include draw at least some of their content from Associated Press, although there are no publicly available figures regarding to what extent this occurs. In the discussion section we comment on some of the crossover between content in all 3 papers in particular time periods.

Page 9: There is insufficient discussion of how the combinations of keywords were selected. In particular, I note from the Figure that at no point in the search strategy was the term ‘diabetes’ entered on it’s own, without being linked with obesity and/or epidemic. This is a potential problem when it comes to discussing the number of papers discussing diabetes as an epidemic or in relation to obesity in your sample, as you don’t have the sample of papers that talk about diabetes in the absence of these terms, which would be your denominator

Thank you for this point – this is a critical translation point for our readers. We have made it clearer throughout the paper that we intentionally searched diabetes vis a vis obesity and made sure in the results and discussion to present our knowledge about the diabetes epidemic in reference to the obesity epidemic, rather than speaking broadly about diabetes.

Figure 1 Search Strategy: Missing number of papers identified in 2013, and needs to state which search fields were used – title, full text, excerpt?

Thank you for this detail. I have adapted the figure and included that the search fields used were full text.

Page 9: At what point in 2013 was the search performed? Do you have a complete 12 months of data for this year? This is important in considering how the number of articles changed across the years.

The search was performed early 2014. I have added this information at the start of the methods section so it is clearer the full calendar year would have been searched.

Page 9: Important information on the data handling process appears to be missing:

• How did you get from the 4280 articles originally identified to the 51, 119 and 324 papers across your 3 sample years?

• How many articles were identified in each database? How did you deal with duplicates across Factiva and Lexis Nexis (and why did you search in both databases if they both contain the same newspapers?)?

• Was the selection of articles for each of the years done automatically (e.g. by selecting an option in the database just to download articles from those years), or manually by going through and selecting all from those years?

• Was there a screening process to include/exclude papers according to a set of criteria? If so what were these criteria, did you review the full article text or just an excerpt, who did the screening and what reliability processes were in place (e.g. second person checking a subsample)?

• Were all records imported into NVivo and handled exclusively in NVivo or were there other data handling procedures?

Apologies for these important omissions. I have now included information regarding:

• The process of moving from 4280 original articles to the final number for each subsample

• The numbers of articles identified in each database, how duplicates were removed, and why both Factiva and Lexis Nexis were used

• Selection was completed automatically – I have added this detail

• I have included these details and highlighted the role of authors 2-3 in these processes

• I have outlined the data handling processes more explicitly from the searching databases to a reference management database and then to NVivo.

Page 10, line 225: Stated that studies in this area have used thematic, CD and framing analysis – please provide references to key studies here for referecen

I have detailed these details as suggested.

Page 10, line 227: Stated that “Using a method different to those used so far was thought to extent and complement…” but then you go on to say you used thematic and framing analysis – both of which you previously stated are common approaches in this area. Please clarify your meaning here.

Thank you for this point. I have clarified the value of combining the methods.

Page 11, lines 241-243: Is the statement about piloting of computerised coding frame relevant to your methods? It seems unnecessary and I would suggest cutting for brevity

I have removed this sentence so as not to confuse the reader.

Page 12 Lines 255-261: More detail needed around the process of thematic analysis. Was this performed just by one author (and which one)? Was there any discussion process with other researchers to refine/explore interpretations? Was there an iterative process to coding?

I have made the roles of each author clearer and made the processes of refining and exploring interpretations explicit.

Page 12, lines 263 – 267: More detail needed around the framing analysis:

• How did the researchers come up with/decide on the three frames? Was previous research consulted here? To what extent did these emerge from the inductive process?

• Need to define the various frames (the four from Entman and the three identified here) and provide examples to make it clear how these were applied (this could be in supplementary materials if needed).

• Who performed the framing analysis? Just one author? Did a second person check for consistency?

• The three frame categories used are important analytical and conceptual devices within public health. I have made this reasoning for their use clearer within this section, and also commented on how these three frames aligned with other research in the field.

• I have made clearer the distinction between the three frames we used and the four components Entman suggested made up a frame. I have referenced a methodological paper we have written on this version of framing analysis, in lieu of including supplementary material.

• I have explicated that Author 1 undertook the framing analysis and detailed the input Authors 2 and 3 had in the process.

Page 13, lines 278-280: Stated that the researcher considered and cross checked the initial findings – was there any refinement here as a result of checking? Any discussions with the wider research team?

I have detailed the roles Authors 2 and 3 took in cross-checking the initial findings, and consequences for refinement of the findings, and setting the scene for later interpretation.

Results

Page 13, first paragraph of results: Would have been useful to provide a high level overview here, including the number of papers across each of the three sample years, and perhaps the key trends that you saw that you will unpack further. This would be more informative than simply explaining how the results are structured

We have adapted the introduction to the findings section, to more clearly map out the key ideas present in the section and prepare the reader for the content of the section. We also view the structure of the results as complex, so have included navigational information on this following the introduction to key findings.

One thing that for me was missing from the findings was a consideration of the frequency with which diabetes was actually discussed in terms of an ‘epidemic’ across the years of the sample – how often was this term actually used? This is a difficult query to resolve, as the term ‘epidemic’ is not the only way that media content can conjure up the notion of an epidemic. This is a benefit of qualitative analysis, in that it can help identify nuanced or latent meanings such as ‘timebomb’ or ‘avalanche’ or ‘impending catastrophe’ that convey the idea of an epidemic. The framing analysis in particular enabled a systematic view of these terms, and I have directly stipulated more frequently the emergence and naturalisation of these terms.

Page 13, lines 285-286: Need more detail to explain the content of the tables – state that shading refers to salience – but not clear if darker means ‘more salient’ or how salience was judged – this needs to be explained somewhere. Would perhaps be helpful to expand these tables to include an example in each cell.

We have added in more information around shading to the introduction of the results section. We view that including an example in each cell would detract from the value of using the rubric cells to convey multiple ideas where they exist, in a snapshot – as such we have decided not to make this revision.

Page 13, lines 300-301: Stated that small sample in 1993 suggests that diabetes was not as newsworthy – but related to my point above, that without a search term of ‘diabetes’ on its own (not in conjunction with obesity or epidemic) you can’t really make this statement – there may well have been articles in 1993 that talked about diabetes but not in the ‘linked’ way that your search terms targeted and that therefore may have been missed by your search.

Thank you for this important point. We have revised the paper as a whole, and this detail, so that it more clearly positions our new knowledge about UK news presentations of diabetes and its’ epidemic in relation to obesity and the obesity epidemic.

Page 16, lines 353-356: This paragraph on medical framing may need some nuancing to make it clear why this falls into the ‘modifiable’ rather that ‘non-modifiable’ risk factors

In a number of the quotes that you use to support your descriptions of ‘lifestyle/behavioural framings’ of diabetes in the 2001 and 2013 samples, the data doesn’t actually explicitly mention lifestyle or behaviour and this seems to be implied by the author. For example, lines 363-368 the description focuses on role of lifestyle but the quote only mentions obesity as a cause of T2DM, without reference to lifestyle or behaviour. Similarly, the quote on page 20, lines 472-474 doesn’t mention lifestyle but is used in apparent support of the statement that there was a perception that diabetes and obesity can be addressed through lifestyle

Thank you for this detail. We have tightened up our use of ‘lifestyle’ vis a vis other modifiable risk factors to reference each in relation to how they are portrayed in the data. We later summarise the overarching interpretation around this in relation to lifestyle.

I have moved up the comment about medical framing to the introductory section for 2001 so this is not confusing for the reader.

Page 16, lines 370-374: This seems to pretty much just repeat what the description and quote in the previous lines was saying

I have revised this content to make clearer the expansion from obesity to overweight as the key point in this part.

Throughout the results it is not always clear which framings the data you are talking about fall into. It would perhaps be useful to have a few sentences at the start of the section for each year just summarising the key patterns in the data that are represented in the figure, before delving down into more detail and examples.

I have synthesised some of the findings from 2001 and 2013 into respective orienting paragraphs – in order for each subsection to remain as concise as possible and minimise repetition.

For 1993, because the introduction to the results section outlines significant differences between 1993 and 2001/2013 samples (i.e. in response to Reviewer #2), it seems logical that this will remain fresh for readers when they arrive to the 1993 subsection, as such it doesn’t need its own introduction.

I would also perhaps have liked to see a reflection on whether there were differences across the three kinds of newspapers in how they portrayed diabetes?

We have included a section on this at the end of the discussion section, which also comments on the differences noted between types of articles.

Page 19, line 433-434: Stated that “diabetes increasingly presented as preventable through individual action and choice alone” – but the quotes that you present suggest a more nuanced understanding – i.e. that these things reduce risk, not that there are the only thing to do.

This is a helpful point – thank you – on revisiting we have changed this to reflect this more nuanced understanding (in this instance and throughout the paper).

Discussion

Findings are situated well within the broader context and literature although, I would expect to see some consideration of the limitations of the study here.

Thank you for this feedback. I have collected the information on limitations from within the paper and focused it into a section between the discussion and the conclusion.

Attachment

Submitted filename: Response to Reviewers.docx

Decision Letter 1

Quinn Grundy

13 Nov 2019

Monitoring the ‘Diabetes Epidemic’: A Framing Analysis of UK Print News 1993-2013

PONE-D-19-22797R1

Dear Dr. Foley,

We are pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it complies with all outstanding technical requirements.

Within one week, you will receive an e-mail containing information on the amendments required prior to publication. When all required modifications have been addressed, you will receive a formal acceptance letter and your manuscript will proceed to our production department and be scheduled for publication.

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If your institution or institutions have a press office, please notify them about your upcoming paper to enable them to help maximize its impact. If they will be preparing press materials for this manuscript, you must inform our press team as soon as possible and no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org.

With kind regards,

Quinn Grundy, PhD, RN

Academic Editor

PLOS ONE

Additional Editor Comments (optional):

Thank you again for giving us the opportunity to review this manuscript - I am so pleased to increase the representation of critical, qualitative research in PLoS ONE.

PLoS One does not provide copy editing services. When you submit the revision complying with technical requirements, I suggest you make the following copy edits:

Spell out UK in title as United Kingdom

Spell out first instances of UK and US in text.

Line 135: Comma after "US", New York Times italicised

Line 162: Comma after "in a spiraling fashion"

Italicise the names of the newspapers sampled (eg line 181).

In Table 1, consider making the final row "Sources" a footnote, or adding the citation to the column header plus a footnote.

The quotation on lines 437-438 seems to be missing some punctuation.

Line 696, Comma after "In 1993"

Line 815, Commas after "Through linking diabetes with obesity"

Please include Legends for Figure 3, 4, and 5 that spells out the acronyms (BGLs, GT)

Reviewers' comments:

Acceptance letter

Quinn Grundy

9 Jan 2020

PONE-D-19-22797R1

Monitoring the ‘Diabetes Epidemic’: A Framing Analysis of UK Print News 1993-2013

Dear Dr. Foley:

I am pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department.

If your institution or institutions have a press office, please notify them about your upcoming paper at this point, to enable them to help maximize its impact. If they will be preparing press materials for this manuscript, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org.

For any other questions or concerns, please email plosone@plos.org.

Thank you for submitting your work to PLOS ONE.

With kind regards,

PLOS ONE Editorial Office Staff

on behalf of

Dr. Quinn Grundy

Academic Editor

PLOS ONE

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    Attachment

    Submitted filename: PLOSONE_Diabetes media framing Review Sept 2019.docx

    Attachment

    Submitted filename: Response to Reviewers.docx

    Data Availability Statement

    The data underlying our study are third party data, however we do not have permission to legally distribute these data within the parameters of copyright law. The data can be accessed by using the search terms and time periods specified in the methods section of the paper (keywords appear in Fig 1). No special access privileges beyond subscription to Factiva and Lexis Nexis databases are required.


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