Luce (2013) discusses media-related moral panics about suicides among young people. During January 2008, in Bridgend (Wales), media attention focused upon a spate of suicides in the region. The media attention started off locally, then moved to national and eventually international coverage. There had been 20 suicides over a 6-month period among young people aged 15–29. Media reports sensationalized the story, incorrectly linking the cases, discussing membership of social media as a factor and demonizing those who had taken their own lives, as well as framing the problem in a stereotypical manner.
Science has also been blamed for playing a role in the generation of fear and heightened perceptions of risk because many studies are methodologically flawed but this is not recognized, despite the findings often being used as the basis of both media (mis)reporting and government campaigns. Consequently, people often have higher levels of fear than are necessary (Buckingham, 2009), and hold misperceptions about potential risks (Duffy, 2019). Even when research is dismissed by a large number of scientists, as in the case of the study claiming to find an association between the MMR vaccination and childhood autism, the conflicting views discussed by experts were enough for many members of the public to see a threat (Burgess, 2009) and to change their behaviour, for example by refusing vaccinations. This was due to the perceptions of bad science being associated with the vaccination. It took time for the truth to emerge about the safety of the MMR, safety concerns still persist years later. More generally vaccination uptake remains a challenge, with measles no longer eradicated in the UK because herd immunity is compromised as a result of vaccine hesitancy (Kennedy, 2019). Now complete learning task 2.3. This will help you to think about how the UK media influences perceptions of risk.
HPV media coverage
Use the internet to find media reports about the HPV vaccination, selecting at least two articles to compare to each other. How is the HPV vaccination framed and discussed? Identify any differing viewpoints in the narratives reported in your chosen newspaper articles. Now, compare the reporting here to a specialist health website such as NHS or WHO.
1 Which viewpoints did you trust and why?
2 If you or a family member are making a decision about being vaccinated, how would you evaluate your risk of contracting the disease as well as any potential side effects associated with the vaccination?
3 How realistic do you think your assessments would be?
Although we have outlined separate factors that influence how public-health issues are identified and can reach the public consciousness and policy and practice agenda for action, in reality the factors all act in concert to create notions of threats to health.
Communicable and non-communicable diseases
In general the types of diseases that affect populations change as countries develop, so risks shift from infectious diseases such as cholera in poorer countries to non-communicable and lifestyle-associated health problems, such as cancers and heart disease, in richer countries. Indeed, the risks for non-communicable diseases are also higher for richer individuals living within poorer countries. Therefore, identifying threats ultimately depends upon the context in which the population is based.
Gaye et al. (2019) report upon an ‘epidemiological transition’ in sub-Saharan Africa, with fewer infectious diseases and a move to more non-communicable diseases. The traditional diseases of poverty, such as infectious diseases and malnutrition, are replaced by diseases of affluence, such as cancers and heart disease (Wainwright 2009a). The WHO (2009) labels this as a ‘risk transition’ caused by improvements in medical care, the ageing of the population and successful public-health interventions such as vaccinations and sanitation. Therefore, the impact of risks to health varies at different levels of socio-economic development. So, although new and infectious diseases can occur anywhere in the world, risks do indeed vary according to where people live. Put simply there are ‘hot spots’ that favour the emergence and spread of specific conditions. Evidence for this is given in table 2.1 (see next page), which describes changing patterns of disease, health and illness by comparing the UK and Botswana 1900–2009.
Data in the table utilize childhood mortality rates, which are considered to be one of the most sensitive indicators of the health of a population, as they are intrinsically related to the whole scope of determinants of health. In a comparison between England and Wales and Botswana it is evident that the industrialization and improvements in working and living conditions have impacted on life expectancy and the patterns of ill-health, although life expectancy increased proportionally more in the UK, largely due to the industrial revolution taking place prior to 1900. In Botswana gains in life expectancy were limited, mainly as a result of high childhood mortality and adult deaths related to infectious diseases, particularly HIV and AIDS, malaria and cholera.
Kaufmann (2009) identifies a number of factors that favour epidemics such as poverty, catastrophes and conflicts because people often have to live in unhygienic and crowded conditions in such situations. He argues that it has never been so easy for epidemics to spiral into pandemics because of diseases travelling across the world via the global movement of both people and animals. WHO (2020a) also notes the importance of environmental factors in relation to the development of epidemics, such as water supply, sanitation, climate and food. All of these threats combine differently according to location. Indeed, countries historically show different trends in relation to changing life expectancy because of the inter-relationship of these threats to health and other social determinants. The incorrect use of antibiotics, which leads to the development of resistant microbes, is also an issue (see the case study at the end of this chapter). Learning task 2.4 will help you to explore changing trends in life expectancy.
Analysing trends in life expectancy
Visit the website – http://www.gapminder.org/
Find the section on tools, click the link ‘play with the data’ and then choose the following three countries to compare:
Australia
Cuba
The Democratic Republic of Congo
Then go back in time to explore the trends in life expectancy and income patterns across these three countries.
1 Describe the different trends between income and life expectancy for all three countries and why this is the case.
2 Think about what might influence these trends and list possible factors.
In the next section we begin to analyse the nature of specific health threats.