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The Role of Images on Illness Behaviour: Interdisciplinary Theory, Evidence, and Ideas

Jennifer Murray and Brian Williams School of Health and Social Care, Edinburgh Napier

University, Edinburgh, UK

Abstract

If illness behaviour is to be fully understood, the social and behavioural sciences must

work together to understand the wider forms in which illness is experienced and

communicated with individuals and society. The current paper synthesised literature

across social and behavioural sciences exploring illness experience and communica-

tion through physical and mental images. It argues that images may have the capacity

to embody and influence beliefs, emotions, and health outcomes. While four com-

monalities exist, facilitating understandings of illness behaviour across the fields (i.e.,

understanding the importance of the patient perspective; perception of the cause,

sense of identity with the illness, consequences, and level of control; health beliefs

influencing illness experience, behaviours, and outcomes; and understanding illness

beliefs and experiences through an almost exclusive focus on the written or spoken

word), we will focus on exploring the fourth commonality. The choice to focus on

the role of images on illness behaviour is due to the proliferation of interventions

using image-based approaches. While these novel approaches show merit, there is a

scarcity of theoretical underpinnings and explorations into the ways in which these

are developed and into how people perceive and understand their own illnesses

using image representations. The current paper identified that the use of images can

elucidate patient and practitioner understandings of illness, facilitate communication,

and potentially influence illness behaviours. It further identified commonalities across

Corresponding Author:

Jennifer Murray, School of Health and Social Care, Edinburgh Napier University, Sighthill Campus, 9

Sighthill Court, Edinburgh EH11 4BN, UK.

Email: [email protected]

Psychological Reports

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DOI: 10.1177/0033294120945602

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2021, Vol. 124(6) 2453 –2475

2454 Psychological Reports 124(6)

the social and behavioural sciences to facilitate theory informed understandings of

illness behaviour which could be applied to visual intervention development to

improve health outcomes.

Keywords

Visual intervention, visual communication, illness behaviour, theory informed inter-

vention, theory based intervention

Introduction

Illness behaviour can be defined as any behaviour undertaken by an individual

to relieve an experience of illness or to better define the meaning of the illness

experience (Kasl & Cobb, 1966; Mechanic, 1995). There has been an observable

increase in the prevalence of chronic health conditions since 2001, with increases

from 35% to 42% in prevalence being observed within general practice regis-

tration data between the years 2004–2011 (van Oostrom et al., 2016) and

increases from 41% to 47% being seen within self-report data between the

years 2001–2011 (van Oostrom et al., 2016). The World Health Organisation

(World Health Organization, 2007) reported chronic diseases to be the leading

causes of death and disability which account for close to 60% of global deaths,

with this expected to rise to 73% by 2020. This increase in the prevalence of

chronic conditions (van Oostrom et al., 2016) means that future attempts to

improve health outcomes and illness experiences are likely to focus on individ-

uals who are already symptomatic; thus, will focus on illness behaviour.

This may include the interpretation and appraisal of symptoms, decisions to

seek or delay health care, ongoing social and psychological coping strategies,

adherence/concordance to recommended treatments and therapies, and the gen-

eral ongoing uptake of available support services.

Cross-disciplinary understandings of the role of images within

illness behaviours

Social and behavioural sciences have contributed significant theory to our under-

standings of illness behaviours. In the context of the current paper, we adopt a

broad definition of illness behaviour which is drawn from the behavioural med-

icine domain: illness behaviours are considered to be the observable actions or

reactions to actual or perceived physical, emotional or mental illness; these can

include self-care or the use of healthcare services (Rau & Williams, 2013). An examination of the contributions across the social and behavioural

sciences literatures reveals four similarities. First, although differing terms are

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Williams and Murray 2455

the social and behavioural sciences to facilitate theory informed understandings of

illness behaviour which could be applied to visual intervention development to

improve health outcomes.

Keywords

Visual intervention, visual communication, illness behaviour, theory informed inter-

vention, theory based intervention

Introduction

Illness behaviour can be defined as any behaviour undertaken by an individual

to relieve an experience of illness or to better define the meaning of the illness

experience (Kasl & Cobb, 1966; Mechanic, 1995). There has been an observable

increase in the prevalence of chronic health conditions since 2001, with increases

from 35% to 42% in prevalence being observed within general practice regis-

tration data between the years 2004–2011 (van Oostrom et al., 2016) and

increases from 41% to 47% being seen within self-report data between the

years 2001–2011 (van Oostrom et al., 2016). The World Health Organisation

(World Health Organization, 2007) reported chronic diseases to be the leading

causes of death and disability which account for close to 60% of global deaths,

with this expected to rise to 73% by 2020. This increase in the prevalence of

chronic conditions (van Oostrom et al., 2016) means that future attempts to

improve health outcomes and illness experiences are likely to focus on individ-

uals who are already symptomatic; thus, will focus on illness behaviour.

This may include the interpretation and appraisal of symptoms, decisions to

seek or delay health care, ongoing social and psychological coping strategies,

adherence/concordance to recommended treatments and therapies, and the gen-

eral ongoing uptake of available support services.

Cross-disciplinary understandings of the role of images within

illness behaviours

Social and behavioural sciences have contributed significant theory to our under-

standings of illness behaviours. In the context of the current paper, we adopt a

broad definition of illness behaviour which is drawn from the behavioural med-

icine domain: illness behaviours are considered to be the observable actions or

reactions to actual or perceived physical, emotional or mental illness; these can

include self-care or the use of healthcare services (Rau & Williams, 2013). An examination of the contributions across the social and behavioural

sciences literatures reveals four similarities. First, although differing terms are

2 Psychological Reports 0(0)

used, each highlights the importance of the patient perspective through an emphasis on illness beliefs (e.g., sociology), explanatory models (e.g., anthro- pology) or illness representations (e.g., psychology). Second, despite varying theoretical and philosophical assumptions and underpinnings, empirical research in each discipline generally uncovers beliefs that categorise across sim- ilar dimensions. For example, within medical anthropology, Kleinman’s Kleinman (1987) ‘explanatory model’ encompasses beliefs about diagnosis, cause, and appropriate treatments (Helman, 1998; Kleinman, 1987); while, within health psychology the concept of “illness representations” points to the parallel issues of illness identity, cause, consequences, timeline and cure/control (Leventhal et al., 1980; Leventhal & Nerenz, 1985). A third similarity is the consistent evidence across these disciplines, particularly across psychology and medical sociology, indicating that health beliefs may influence illness experience (Bishop & Converse, 1986; Lobban et al., 2003; Scambler & Hopkins, 1986), illness behaviours (Horne & Weinman, 2002; Ross et al., 2004) and ultimately health outcome (Barsky et al., 2002; Petrie et al., 2007). A final commonality is the cross-discipline emphasis on understanding illness beliefs and experience through an almost exclusive focus on the written or spoken word.

While health messages are almost always communicated through verbal or text- based means, a growing body of evidence is emerging which suggests that these traditional delivery systems may not be the most effective (e.g., Garcia-Retamero & Galestic, 2010; Williams & Cameron, 2009). For example, patient perceptions of risk were found to improve and be less susceptible to framing effects on health information when a visual aid was used (Garcia-Retamero & Galestic, 2010). However, a recent systematic review exploring the efficacy of video-based visual health interventions found variations in the effectiveness of the interventions, with video interventions tailored to the individual or specific condition being more effective than non-tailored video interventions (Tuong et al., 2014). These findings suggest that while images have been used in health promotion campaigns in the same manner as in commercial advertisements, this is often carried out with little or no theoretical consideration in their use and effectiveness.

The current paper argues that if illness behaviour is to be more fully under- stood, academics across the social and behavioural sciences must acknowledge and encompass the wider forms in which illness is experienced and communi- cated in contemporary society. We suggest that illness may be experienced and communicated through physical and mental representations (i.e., mental images), and that these may have the capacity to embody and influence both beliefs and emotional sequalae, and thus an array of important illness behav- iours and outcomes.

This understanding is imperative to academics, health professionals and others engaged in intervention development in healthcare. In recent years there has been an increase in the use of visual communication at both the soci- etal and population level (Williams & Cameron, 2009) and within healthcare

Williams and Murray 3

2456 Psychological Reports 124(6)

interventions (Murray et al., 2001, 2016; Williams et al., 2012) to convey com- plex information, influence beliefs and emotions (Williams & Cameron, 2009) and, ultimately, elicit a change in health behaviour. However, at present, the evidence base applied to the development of visual interventions is scant (Williams & Cameron, 2009). This poses a risk to the quality of the interventions themselves and, more importantly, to the messages conveyed to and understand- ings of patients (Williams & Cameron, 2009).

The current paper therefore aims to review the social and behavioural sciences literature to explore what is known about the role of visual stimuli and images on illness behaviours. The main literatures included within this review are decision sciences, health and behavioural psychology, and medical sociology. Wider liter- atures and papers are also included but with a less detailed focus than the former.

The current paper will explore theoretical and empirical evidence across the social and behavioural sciences examining the importance of images in illness behaviours. It will discuss some of the dominant health behaviour models rel- evant to the area, and then examine possible ‘precognitive’ or ‘unconscious’ influences of images on judgement and decision making and illness behaviours. The role of image changes will be discussed in relation to behaviour change and non-change, and how these are determined depending upon the role of symptom interpretation and emotional activation. The impact that this has on health outcomes and health care will then be discussed. Prior to exploring the theoret- ical and empirical evidence, however, it is important to identify what we mean by “image” within the current paper. This will now be defined.

What do we mean by “image”?

For the purposes of this paper, “image” is defined in a broad sense to include any visually based or mental representation or embodiment. This definition reflects an essentially phenomenological stance that focuses on a principal “sense”. However, given ongoing research and debates within neuropsychology, and the evident role of a visual dimension within classic illness metaphors (Helman, 1985; Sontag, 1978, 2001), we take the “visual” to not only encompass physical sight, but also mental representations of images. We will primarily use ‘image’ in the remainder of the current paper to maintain consistency in the terminology used. However, where appropriate and better fitting with the papers or theories being discussed, we may use the term used in the original paper/ theory (e.g., visual stimuli, mental representation).

Theoretical and empirical evidence to support the

importance of images

There is growing theoretical and empirical evidence to indicate that images may influence the experience of illness, illness behaviour and health outcome (e.g.,

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Williams and Murray 2457

interventions (Murray et al., 2001, 2016; Williams et al., 2012) to convey com- plex information, influence beliefs and emotions (Williams & Cameron, 2009) and, ultimately, elicit a change in health behaviour. However, at present, the evidence base applied to the development of visual interventions is scant (Williams & Cameron, 2009). This poses a risk to the quality of the interventions themselves and, more importantly, to the messages conveyed to and understand- ings of patients (Williams & Cameron, 2009).

The current paper therefore aims to review the social and behavioural sciences literature to explore what is known about the role of visual stimuli and images on illness behaviours. The main literatures included within this review are decision sciences, health and behavioural psychology, and medical sociology. Wider liter- atures and papers are also included but with a less detailed focus than the former.

The current paper will explore theoretical and empirical evidence across the social and behavioural sciences examining the importance of images in illness behaviours. It will discuss some of the dominant health behaviour models rel- evant to the area, and then examine possible ‘precognitive’ or ‘unconscious’ influences of images on judgement and decision making and illness behaviours. The role of image changes will be discussed in relation to behaviour change and non-change, and how these are determined depending upon the role of symptom interpretation and emotional activation. The impact that this has on health outcomes and health care will then be discussed. Prior to exploring the theoret- ical and empirical evidence, however, it is important to identify what we mean by “image” within the current paper. This will now be defined.

What do we mean by “image”?

For the purposes of this paper, “image” is defined in a broad sense to include any visually based or mental representation or embodiment. This definition reflects an essentially phenomenological stance that focuses on a principal “sense”. However, given ongoing research and debates within neuropsychology, and the evident role of a visual dimension within classic illness metaphors (Helman, 1985; Sontag, 1978, 2001), we take the “visual” to not only encompass physical sight, but also mental representations of images. We will primarily use ‘image’ in the remainder of the current paper to maintain consistency in the terminology used. However, where appropriate and better fitting with the papers or theories being discussed, we may use the term used in the original paper/ theory (e.g., visual stimuli, mental representation).

Theoretical and empirical evidence to support the

importance of images

There is growing theoretical and empirical evidence to indicate that images may influence the experience of illness, illness behaviour and health outcome (e.g.,

4 Psychological Reports 0(0)

Humphris & Williams, 2014; Murray et al., 2001, 2013, 2016; Styles et al., 2013; Thorne et al., 2005; Williams & Cameron, 2009). From a psychological perspec- tive, it is known that both cognition and emotion, and their corresponding interplay, can influence behaviour. Indeed, the central components of the prime theoretical model at the heart of psychological research into illness behav- iour, Leventhal’s Common Sense Model, which is embedded within the Self- Regulatory Model of Health Behaviour (Leventhal et al., 1980, 2003), suggests that symptom perception leads to two parallel processes: one relating to cogni- tion (in particular, the beliefs along five dimensions of illness representations highlighted earlier: illness identity; cause; consequences; timeline; cure/control); and one to emotion, and both of which feed into a coping strategy. More broadly, the Common Sense Model supports the understanding of people’s responses to illness, explaining the ways in which illness perceptions, incorpo- rating knowledge and personal experiences, can influence coping strategies and health outcomes.

We suggest that there is evidence that physical and mental images may influ- ence behaviour at four points within the Common Sense Model: a ‘precognitive’ influence on behaviour that bypasses cognition and emotion; a prompt that forces an individual to notice a deviation in normality and thus promote symp- tom perception; a means by which cognition is both embodied and influenced; and an impact directly on emotion. Each of these four points within the Common Sense Model will be discussed in turn within this section, with the relationship between images and illness behaviour being the focus.

Precognitive influences on illness behaviours

Precognitive influences on illness behaviours may be defined as those influences which we are not necessarily aware of as having an impact on our judgements, decisions and illness-related behaviours (see, for example, Kahneman, 2011, for a thorough overview of unconscious and conscious decision making). These would not be influences that are consciously recognised by a person and may better be described as instinctual, automatic, intuitive, unconscious or heuristic influences. While it may be argued that all human experiences and influences on our behaviours, and hence our illness behaviours, must be cognitive to some degree, these precognitive influences may be best considered as those influences that affect our actions and beliefs that we are not consciously aware of. Note that the use of the term ‘precognitive’ in the current paper is not the same as those studies which posit that precognition is a predictor of future outcomes; we instead use the term to mean unconscious influences on our deci- sion making, as described in this section.

When considering the complexity of influences on illness behaviours, the influence is not merely on behaviour, but also on cognitions such as judgements and decisions. To best understand the role of precognitive influences on illness

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2458 Psychological Reports 124(6)

behaviours, we will first summarise recent theory on human judgement and decision making and will follow this with consideration for precognitive influ- ences on image interpretation and illness behaviours.

Precognitive influences on judgement and decision making. Models of human decision making (leading to behaviours), in particular dual process models, offer valu- able insights to help us understand and define these precognitive influences on illness behaviour. Numerous decision making and judgement theories have been proposed. One recent theory was proposed by Kahneman (2011). In this dual process theory, it is suggested that we have two systems with which we make decisions and judgements. System 1 is ‘fast’ and allows us to make decisions quickly, using little cognitive effort by using: evolved cognitive heuristics (or ‘cognitive rules of thumb’; Murray & Thomson, 2010); intuitions which have been learned and engrained into our cognitive schema through past experiences; and/or emotions. We are largely unaware of these processes and so they could be argued to be precognitive, in the context of the current paper and the lan- guage used in the Common Sense Model discussed previously.

System 2 refers to those instances where our choices are determined through a slower, more cognitively taxing, rational cognitive process, where the decision maker must consciously consider and ‘weigh-up’ the pros and cons of a decision before taking action. System 1 and 2 exist and occur in tandem and some authors more recently have argued that the two exist on a continuum rather than as separate/distinct systems (i.e. existing as ‘quasirational’; Dhami & Thomson, 2012). However, all dual process theories stress that it is the faster, heuristic, System 1 which is used in the majority of our decisions. Thus, the exploration of the ‘precognitive’ influences on behaviour is both important and necessary for understanding illness-related behaviours. When discussing precognitive influences on illness behaviours, the current paper is framing these within an operational definition akin to the ‘System 1’ processes proposed by Kahneman (2011).

Precognitive influences on image interpretation and illness behaviours. Applying these theoretical arguments and definitions, there is evidence in regard to physical attraction and the avoidance of dangers that visual stimuli can influence behav- iour precognitively. For example, facial symmetry is associated with both per- ceived beauty (Rhodes et al., 1998) and health (Rhodes et al., 2001) and is observed to be associated with human mate choice selection preferences (Scheib et al., 1999). Indeed, phenotypical symmetry is also associated with better health outcomes (ibid), indicating a complex interplay between these associations as the product of evolutionary processes and socio-cultural pressures to improve genetic transferral via mate choice selection leading to successful offspring (Rhodes et al., 1998). If this is the case, then visual stimuli may have a precognitive influence within health and illness behaviours more generally.

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Williams and Murray 2459

behaviours, we will first summarise recent theory on human judgement and decision making and will follow this with consideration for precognitive influ- ences on image interpretation and illness behaviours.

Precognitive influences on judgement and decision making. Models of human decision making (leading to behaviours), in particular dual process models, offer valu- able insights to help us understand and define these precognitive influences on illness behaviour. Numerous decision making and judgement theories have been proposed. One recent theory was proposed by Kahneman (2011). In this dual process theory, it is suggested that we have two systems with which we make decisions and judgements. System 1 is ‘fast’ and allows us to make decisions quickly, using little cognitive effort by using: evolved cognitive heuristics (or ‘cognitive rules of thumb’; Murray & Thomson, 2010); intuitions which have been learned and engrained into our cognitive schema through past experiences; and/or emotions. We are largely unaware of these processes and so they could be argued to be precognitive, in the context of the current paper and the lan- guage used in the Common Sense Model discussed previously.

System 2 refers to those instances where our choices are determined through a slower, more cognitively taxing, rational cognitive process, where the decision maker must consciously consider and ‘weigh-up’ the pros and cons of a decision before taking action. System 1 and 2 exist and occur in tandem and some authors more recently have argued that the two exist on a continuum rather than as separate/distinct systems (i.e. existing as ‘quasirational’; Dhami & Thomson, 2012). However, all dual process theories stress that it is the faster, heuristic, System 1 which is used in the majority of our decisions. Thus, the exploration of the ‘precognitive’ influences on behaviour is both important and necessary for understanding illness-related behaviours. When discussing precognitive influences on illness behaviours, the current paper is framing these within an operational definition akin to the ‘System 1’ processes proposed by Kahneman (2011).

Precognitive influences on image interpretation and illness behaviours. Applying these theoretical arguments and definitions, there is evidence in regard to physical attraction and the avoidance of dangers that visual stimuli can influence behav- iour precognitively. For example, facial symmetry is associated with both per- ceived beauty (Rhodes et al., 1998) and health (Rhodes et al., 2001) and is observed to be associated with human mate choice selection preferences (Scheib et al., 1999). Indeed, phenotypical symmetry is also associated with better health outcomes (ibid), indicating a complex interplay between these associations as the product of evolutionary processes and socio-cultural pressures to improve genetic transferral via mate choice selection leading to successful offspring (Rhodes et al., 1998). If this is the case, then visual stimuli may have a precognitive influence within health and illness behaviours more generally.

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A clear and contemporary example in the context of health behaviours is the Western association between a ‘tanned’ skin colour, health and attractiveness (Broadstock et al., 1992) amongst Caucasians. In modern Western society, behaviours aimed at increasing UV exposure such as the use of sun-beds and other tanning pursuits that may be hazardous to health have increased (Leary & Jones, 1993). A converse association is seen more recently amongst African and South East Asian beauty trends, with skin whitening and bleaching products becoming popular, demonstrating that the socio-cultural construction of beauty standards can overcome natural evolve appearance preferences. Simply provid- ing knowledge and education about the potentially damaging consequences of tanning [and skin bleaching] behaviours (e.g., skin cancer) has been found to be an ineffective intervention (Dennis et al., 2009), suggesting that appealing to an individual at the rational System 2 level via informational health promotion campaigns may not be effective. It may be more effective for interventions to appeal to the precognitive, System 1 processes. One way of doing this may be to use suitable images or visual interventions to reduce the risk of cognitively overloading the individual and activating System 2.

In terms of illness behaviours, visual appearance may contribute precogni- tively in the identification of illness in its early stages. For instance, pallor is known to be a predictor of illness (Hewson et al., 2000). However, recognition and perceptions of pallor may well be influenced by social and cultural factors. A study of the recognition of illness among almost 4000 young Kenyan children revealed that parents effectively used signs of their cultural concept of del maratong (a local term for ’pale-body/skin’ which is not related to a specific anatomical site) rather than conventional anatomical pallor signs, to detect illness (Desai et al., 2002).

Visual signs may either equate to and be part of socially and culturally held definitions of health and illness or be seen as a symbol of underlying illness or health but without being heavily mediated at a conscious, cognitive level by any explicated or coherent set of beliefs. In other words, a parent may “know” that their child is ill without necessarily being aware why or being able to express how. This once again links back to the use of the ‘precognitive’ or System 1 cognitive processes: as there is minimal conscious mediation or rationalization occurring when the parent is observing and “knowing” that their child is ill, it is likely that they are using a combination of evolved cognitive heuristic processes and intuitive schemas, learned over past experience and through social knowl- edge. Thus, they are using System 1, precognitive processes to detect illness and will likely act on this information to decide upon the best course of action to take using the more rational System 2 processing (e.g., weigh up the pros and cons of attending a doctor versus home treatment, and select which is perceived to be the most effective health behaviour).

Moving beyond the precognitive, the importance of changes in images will now be considered. The discussion which follows summarises theory and

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literature mainly from psychology and medical sociology exploring the role of

noticing changes in images as a mechanism to perceive symptoms. The section

will discuss proposed mechanisms behind noticing and altering illness behav-

iours and proposed mechanisms underpinning misrepresentation/misinterpreta-

tion of changes and no behaviour change.

Image changes as a prompt to symptom perception

Noticing changes and altering illness behaviours. Self-Regulatory Theories (e.g.,

Bandura, 1991; Baumeister et al., 1994) suggest that symptom interpretation

and subsequent illness behaviours commence either when an individual notices

a deviation in their established bodily norms, or when social messages from

other people bring the deviation to their attention. This norm may be non-

visible, such as in cases where there is pain or functional problems, in which

case self-identification is more probable. However, for many clinical conditions,

the deviation may be visual (e.g., skin colour, rash, bleeding, bruising). Due to

their very public nature, visual cues are more likely to result in initial symptom

perception stemming from social messages. If an illness is not causing discom-

fort, or if it has had a gradual onset, symptom perception is likely to begin with

an individual or other noticing a visual or perceptible deviation from a norm.

This act of noticing may not necessarily involve System 2 (slow, conscious)

processes, but may instead reflect System 1 (fast, ‘automatic’) detection of dif-

ference that causes the visual sign to stand out and demand interpretation. Established theory within the field of visual attention suggests that this act of

noticing deviations from the norm may stem from an interplay between “goal-

directed” and “stimulus-driven” factors (Corbetta & Shulman, 2002). Goal-

directed factors are those which are noticed and interpreted in a ‘bottom-up’

cognitive manner: those factors which are directed and interpreted using existing

knowledge and cognitive schema. Stimulus-driven factors, on the other hand,

are those which draw our attention from the surrounding environment through

sensory stimuli (e.g., vision, feeling, smell) and which are interpreted using more

cognitively effortful ‘top-down’ processes. It has been well recorded that we are

‘set’ to selectively perceive, expect and infer aspects of goal-directed factors (e.g.,

Kalish & Lawson, 2007; Vernon, 1966); and thus we selectively perceive what is

relevant to us, and interpret and generalise this knowledge in a way that is useful

to us (Kalish & Lawson, 2007; Plous, 1993). For example, should an individual

notice that a skin rash has occurred on their stomach (stimulus-directed factor),

they may then proceed to hypothesise, given the location of the rash, that this

may be serious, perhaps meningitis (goal-directed factor) based on their existing

knowledge and may then choose to press a glass against the rash to see if it

would disappear or seek medical assistance. Should the rash appear elsewhere,

such as the arm, the individual may instead attribute causality to something less

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Williams and Murray 2461

literature mainly from psychology and medical sociology exploring the role of

noticing changes in images as a mechanism to perceive symptoms. The section

will discuss proposed mechanisms behind noticing and altering illness behav-

iours and proposed mechanisms underpinning misrepresentation/misinterpreta-

tion of changes and no behaviour change.

Image changes as a prompt to symptom perception

Noticing changes and altering illness behaviours. Self-Regulatory Theories (e.g.,

Bandura, 1991; Baumeister et al., 1994) suggest that symptom interpretation

and subsequent illness behaviours commence either when an individual notices

a deviation in their established bodily norms, or when social messages from

other people bring the deviation to their attention. This norm may be non-

visible, such as in cases where there is pain or functional problems, in which

case self-identification is more probable. However, for many clinical conditions,

the deviation may be visual (e.g., skin colour, rash, bleeding, bruising). Due to

their very public nature, visual cues are more likely to result in initial symptom

perception stemming from social messages. If an illness is not causing discom-

fort, or if it has had a gradual onset, symptom perception is likely to begin with

an individual or other noticing a visual or perceptible deviation from a norm.

This act of noticing may not necessarily involve System 2 (slow, conscious)

processes, but may instead reflect System 1 (fast, ‘automatic’) detection of dif-

ference that causes the visual sign to stand out and demand interpretation. Established theory within the field of visual attention suggests that this act of

noticing deviations from the norm may stem from an interplay between “goal-

directed” and “stimulus-driven” factors (Corbetta & Shulman, 2002). Goal-

directed factors are those which are noticed and interpreted in a ‘bottom-up’

cognitive manner: those factors which are directed and interpreted using existing

knowledge and cognitive schema. Stimulus-driven factors, on the other hand,

are those which draw our attention from the surrounding environment through

sensory stimuli (e.g., vision, feeling, smell) and which are interpreted using more

cognitively effortful ‘top-down’ processes. It has been well recorded that we are

‘set’ to selectively perceive, expect and infer aspects of goal-directed factors (e.g.,

Kalish & Lawson, 2007; Vernon, 1966); and thus we selectively perceive what is

relevant to us, and interpret and generalise this knowledge in a way that is useful

to us (Kalish & Lawson, 2007; Plous, 1993). For example, should an individual

notice that a skin rash has occurred on their stomach (stimulus-directed factor),

they may then proceed to hypothesise, given the location of the rash, that this

may be serious, perhaps meningitis (goal-directed factor) based on their existing

knowledge and may then choose to press a glass against the rash to see if it

would disappear or seek medical assistance. Should the rash appear elsewhere,

such as the arm, the individual may instead attribute causality to something less

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immediately worrisome, as they are not driven by a goal-directed, bottom-up, interpretive process.

It is evident that both the properties of the image/visual stimulus and the goals and expectations of the individual are important (Egeth & Yantis, 1997), and that these top-down and bottom-up processes interact to influence and individual’s health and illness behaviours. As discussed, in terms of the image, the important properties which will inform the individual in their health and illness behaviours are more complex than simple guidelines; there are some unified aspects but these are largely governed by the person’s own perceptions of their norms and their knowledge and past experiences. Some ‘universal’ elements for image properties in health and illness behaviours include the person noticing a deviation from their bodily norm, e.g., a skin rash); after noticing a process of evaluation occurs, whereby their personal norm is considered and the image is also compared to what the person knows about the general norm for the population and/or other similar conditions (e.g., other skin rashes that they have had, seen in others, or know of through education or through vicarious learning. The act of noticing can be through self-noticing or through socially transmitted messages, as previously discussed. Essentially, then, there are numerous levels to image noticing and interpretation, and the important properties in terms of enacting a change in health/illness behaviour will depend on the person’s own norms, their knowledge and importance placed on general norms, and social messaging around the image.

In terms of the individual, it is not only the conscious expectations and the act of noticing changes (e.g., Self-Regulatory behaviours; Bandura, 1991; Baumeister et al., 1994) which are important in health and illness behaviours, but also the unconscious processes (e.g., through System 1 processes; Kahneman, 2011).These unconscious processes may be heuristically governed, based on past experiences and pre-conceived expectations, which then go on to set current expectations and unconsciously ‘dismiss’ decision options for health/illness behaviours without the person being aware of this happening based on these past experiences and heu- ristics. These unconscious processes may also affect the information sought and afforded attention to in their decision making through the process of selective perception and selective attention, whereby people seek out and pay greater atten- tion to information which conforms to their expectations and existing schema (Salemink et al., 2007; Sargent, 2007). The effect of unconscious decision making on health and illness behaviours are greatest with lay-people and with very expe- rienced people: “When people have enough experience with a particular situation, they often see what they expect to see.” (Plous, 1993, p. 17). Both the properties of the image and/or the goals and expectations of the observer may therefore be important (Egeth & Yantis, 1997).

Misinterpreting changes and not altering illness behaviours. Symptom perception is a key element of illness behaviour research. To best understand illness behaviours and behaviour change, we must not only consider the mechanisms influenceing

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behaviour change (as in the former section), but also those theories and mech- anisms explaining a lack of change in illness behaviours (or indeed detrimental illness behaviour change). This section will explore this latter theme.

Misperception or misinterpretation can lead to a failure to recognise impor- tant clinical signs, thus delay diagnosis. Further adding to complications around delay to treatment, gender differences exist in symptom perception, with females consistently being found to report more symptoms than males (van Wijk & Klok, 1997), skewing not only self-perception of symptoms, but also potentially the perceptions of importance attached to these by others. Approximately one- third of cancer patients have been found to delay seeking help for over three months (Mor et al., 1990). A significant contributory factor may be the misin- terpretation or attribution of symptoms (Corner et al., 2005). However, research in this area has largely focused on delay between noticing a symptom and seek- ing help and treatment. The delay between the actual onset of a symptom and when it is first noticed may also be a major source of delay. Visual perception in both the initial noticing and subsequent interpretive processes is likely to be extremely important, but is currently largely over-looked.

Returning to the consideration of the evolved cognitive processes governed by System 1 decision making, acting on visual or other symptoms once these are perceived can be delayed further by misattribution of meaning and importance of these symptoms through the process of cognitive dissonance (Festinger, 1957, 1962). Cognitive dissonance theory suggests that when behaviours and beliefs are not congruent, we experience a ‘psychological discomfort’ and seek to reduce this discomfort. There are two ways in which to do this:

1. Changing behaviour or seeking help once symptoms are perceived; or 2. Changing or minimising attitudes towards the illness or help seeking (e.g., “it

is not so serious”; “it will resolve itself”).

A classic example of attributing maladaptive meaning to a negative health behaviour, even when negative symptoms are perceived, is in tobacco smoking (McMaster & Lee, 1991). McMaster and Lee (1991) identified clear evidence of cognitive dissonance amongst smokers, with smokers knowing that they were at greater risk of health problems than non-smokers but rationalising that they were at less risk than their fellow smokers. This cognitive fallacy has clear implications, not for symptom perception per se, but for symptom interpreta- tion and subsequent help seeking behaviour. The interpretation of symptoms and responses to these therefore involves a complex interplay of biopsychosocial factors. Understanding how this interplay impacts on and informs the percep- tion and interpretation of symptoms is imperative for effective intervention development.

Further examination of the properties of images, the beliefs, cognitions and goals of observers, integrated within theories of visual attention, may prove

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Williams and Murray 2463

behaviour change (as in the former section), but also those theories and mech- anisms explaining a lack of change in illness behaviours (or indeed detrimental illness behaviour change). This section will explore this latter theme.

Misperception or misinterpretation can lead to a failure to recognise impor- tant clinical signs, thus delay diagnosis. Further adding to complications around delay to treatment, gender differences exist in symptom perception, with females consistently being found to report more symptoms than males (van Wijk & Klok, 1997), skewing not only self-perception of symptoms, but also potentially the perceptions of importance attached to these by others. Approximately one- third of cancer patients have been found to delay seeking help for over three months (Mor et al., 1990). A significant contributory factor may be the misin- terpretation or attribution of symptoms (Corner et al., 2005). However, research in this area has largely focused on delay between noticing a symptom and seek- ing help and treatment. The delay between the actual onset of a symptom and when it is first noticed may also be a major source of delay. Visual perception in both the initial noticing and subsequent interpretive processes is likely to be extremely important, but is currently largely over-looked.

Returning to the consideration of the evolved cognitive processes governed by System 1 decision making, acting on visual or other symptoms once these are perceived can be delayed further by misattribution of meaning and importance of these symptoms through the process of cognitive dissonance (Festinger, 1957, 1962). Cognitive dissonance theory suggests that when behaviours and beliefs are not congruent, we experience a ‘psychological discomfort’ and seek to reduce this discomfort. There are two ways in which to do this:

1. Changing behaviour or seeking help once symptoms are perceived; or 2. Changing or minimising attitudes towards the illness or help seeking (e.g., “it

is not so serious”; “it will resolve itself”).

A classic example of attributing maladaptive meaning to a negative health behaviour, even when negative symptoms are perceived, is in tobacco smoking (McMaster & Lee, 1991). McMaster and Lee (1991) identified clear evidence of cognitive dissonance amongst smokers, with smokers knowing that they were at greater risk of health problems than non-smokers but rationalising that they were at less risk than their fellow smokers. This cognitive fallacy has clear implications, not for symptom perception per se, but for symptom interpreta- tion and subsequent help seeking behaviour. The interpretation of symptoms and responses to these therefore involves a complex interplay of biopsychosocial factors. Understanding how this interplay impacts on and informs the percep- tion and interpretation of symptoms is imperative for effective intervention development.

Further examination of the properties of images, the beliefs, cognitions and goals of observers, integrated within theories of visual attention, may prove

10 Psychological Reports 0(0)

helpful in understanding presentation delays and informing effective interven-

tions. The importance of these issues has already been established in studies of

health professionals’ detection of abnormalities in radiograph images (Manning

et al., 2004), and that selective perception may play a role (Drew et al., 2013).

However, their role in symptom detection among patients has been largely over-

looked. It is therefore necessary to consider the role of images in symptom

interpretation, and how this aligns to and influences conscious, cognitive proc-

essing in illness behaviours. This will now be discussed.

The role of images in symptom interpretation: Embodied and influenced

cognition

Although it is generally assumed that symptom interpretation cognitions are in

verbal form, the theory in fact suggests that these are based on underlying

abstract concepts. The nature of this form of abstraction is unknown, and

potentially unknowable. However, it is possible that images can embody beliefs.

For example, a patients’ drawing or even their mental represenattion of a

broken arm may embody their beliefs in relation to its possible symptoms,

cause, curability and general prognosis. There is recent empirical evidence

that links aspects of patient’s drawing of their heart after a myocardial infarc-

tion to both subsequent behaviour and physical recovery (Broadbent et al.,

2004, 2007). Images can elicit a real, emotional response both when viewed

and when imagined or remembered. These emotive effects can become apparent

with both concrete imagery (i.e., something “true to life” such as a spider or a

house) and abstract imagery (e.g., a metaphorical or other representation of a

concept or construct, such as an emotion). Evidence from cognitive psychology

has suggested that image representation is dependent on retrieval from memory

(Craik & Lockhart, 1972). In their ‘levels of processing’ framework, Craik and

Lockhart (1972) posited that memory as a process, with fluidity across encoding

and retrieval, constantly reinterpreting and adding meaning to past experiences

through integrating new understandings to past experiences. The strength of a

memory is considered to be increased when it has first been encoded strongly,

and our image representations are strengthened when associated with either

concrete imagery (Paivio, 1986) or high emotional arousal (Kensinger, 2009).

The role of images in directly impacting emotions, affecting illness behaviour

Images may also generate a direct, unconscious emotional response independent

of any cognition. For example, disgust, which is characterised by a desire to

retreat from the stimulus, may be produced by the single sensory experience of

viewing an image (Woody & Teachman, 2000). An example of an application of

the use of negative emotion associated with images and health behaviours is in

the treatment of phobias. Images feature prominently in phobias and anxiety

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2464 Psychological Reports 124(6)

disorders. Presentation of a still image of the feared stimuli can produce both an

affective (anxiety, panic) and a biological (increased heartbeat, perspiration)

response, even when there is no actual (real) object present. Spontaneous imag-

ery is a common feature of anxiety disorders, and when mental representation of

images is compared to verbal descriptions of the threatening stimuli, the imagery

can produce higher levels of anxiety and a greater emotional response (Hirsch

et al., 2006). As images alone are capable of producing powerful emotional, cognitive, and

associated biological responses, it is unsurprising that they may influence behav-

iour. Kleinman et al. (1978) reported the case of a 60-year-old woman, admitted

to hospital and diagnosed as having ‘water in her lungs’. The woman proceeded

to act bizarrely, repeatedly vomiting and urinating in her bed. It later transpired

that this woman was the wife and daughter of plumbers, and believed the inner

workings of the body to be akin to a system of inter-connected pipes. Her

explanatory model/illness representation thus indicated quite logically to her

that frequent expulsion of fluids from the body would cure the problem of

water in her lungs. In this example the influence of her visual perception of

the body as a system of pipes on her illness behaviour is clear. This is a relatively

old example, but one which is helpful in providing clarity over the varied and

anatomically incorrect representations that people may hold. While there is some evidence for improved knowledge and anatomical accu-

racy in patients’ images in illness representations (Broadbent et al., 2019), there

remains idiosyncratic differences in patient’s drawings of their illnesses which

may help to predict their health outcomes (Broadbent et al., 2019; Petrie &

Weinman, 2012). For example, Petrie and Weinman (2012) describe the draw-

ings made at three timepoints by two patients who had underwent heart bypass

surgery; while both patients drew increasingly ‘healthy/healing’ pictures of

hearts, one also focused also on the heart rhythm improving, which Petrie

and Weinman (2012) highlight is an important indicator for recovery. In their

systematic review of 101 papers published exploring patient drawings of ill-

nesses, Broadbent et al. (2019) found evidence indicating that where patients

had drawn larger images and more organ damage, outcomes and health per-

ceptions were worse. Improvements to patient-practitioner understandings of

the patient’s image representations of their illness may therefore be helpful in

improving outcomes and targeting psychoeducation where required to help

improve illness behaviours related to recovery (Petrie & Weinman, 2012). Although there is evidence to support the use of images and imagery for

behaviour change, there has been relatively little consistent attention in health

research; with the majority of the research being confined almost exclusively to

the investigation of children’s views concerning illness (Guillemin, 2004).

However, the investigation of adults’ mental image representations of illness

is an exciting emerging field of research, with advocates of its value scattered

12 Psychological Reports 0(0)

Williams and Murray 2465

disorders. Presentation of a still image of the feared stimuli can produce both an

affective (anxiety, panic) and a biological (increased heartbeat, perspiration)

response, even when there is no actual (real) object present. Spontaneous imag-

ery is a common feature of anxiety disorders, and when mental representation of

images is compared to verbal descriptions of the threatening stimuli, the imagery

can produce higher levels of anxiety and a greater emotional response (Hirsch

et al., 2006). As images alone are capable of producing powerful emotional, cognitive, and

associated biological responses, it is unsurprising that they may influence behav-

iour. Kleinman et al. (1978) reported the case of a 60-year-old woman, admitted

to hospital and diagnosed as having ‘water in her lungs’. The woman proceeded

to act bizarrely, repeatedly vomiting and urinating in her bed. It later transpired

that this woman was the wife and daughter of plumbers, and believed the inner

workings of the body to be akin to a system of inter-connected pipes. Her

explanatory model/illness representation thus indicated quite logically to her

that frequent expulsion of fluids from the body would cure the problem of

water in her lungs. In this example the influence of her visual perception of

the body as a system of pipes on her illness behaviour is clear. This is a relatively

old example, but one which is helpful in providing clarity over the varied and

anatomically incorrect representations that people may hold. While there is some evidence for improved knowledge and anatomical accu-

racy in patients’ images in illness representations (Broadbent et al., 2019), there

remains idiosyncratic differences in patient’s drawings of their illnesses which

may help to predict their health outcomes (Broadbent et al., 2019; Petrie &

Weinman, 2012). For example, Petrie and Weinman (2012) describe the draw-

ings made at three timepoints by two patients who had underwent heart bypass

surgery; while both patients drew increasingly ‘healthy/healing’ pictures of

hearts, one also focused also on the heart rhythm improving, which Petrie

and Weinman (2012) highlight is an important indicator for recovery. In their

systematic review of 101 papers published exploring patient drawings of ill-

nesses, Broadbent et al. (2019) found evidence indicating that where patients

had drawn larger images and more organ damage, outcomes and health per-

ceptions were worse. Improvements to patient-practitioner understandings of

the patient’s image representations of their illness may therefore be helpful in

improving outcomes and targeting psychoeducation where required to help

improve illness behaviours related to recovery (Petrie & Weinman, 2012). Although there is evidence to support the use of images and imagery for

behaviour change, there has been relatively little consistent attention in health

research; with the majority of the research being confined almost exclusively to

the investigation of children’s views concerning illness (Guillemin, 2004).

However, the investigation of adults’ mental image representations of illness

is an exciting emerging field of research, with advocates of its value scattered

12 Psychological Reports 0(0)

across several disciplines (e.g., Broadbent et al., 2004; Cross et al., 2006;

Guillemin, 2004). Due to the infancy of the work in this area, there are several important and

fundamental questions which have not yet been addressed:

1. To what degree does the experience of illness encompass images, for whom,

and during which illnesses? 2. How do images relate to current theories, such as illness representation and

explanatory models? And are these embedded within the models or do they

exist independently? 3. What are the relationships between cognitions, images, and emotions? 4. Do images produce or influence cognitive processes, or do cognitive processes

assist and change the rudimentary image into a more concrete image?

It is also important to consider the theories and literature on images in illness

behaviours discussed in relation to health care: how do images affect the expe-

rience of illness, the behaviours associated with it, and how might they affect

health outcomes? The proceeding section will explore these issues.

The importance of images in health care

The importance of researching and accessing patients’ mental representations of

images is three-fold. These may influence illness experience, illness behaviour,

and – directly and indirectly – health outcomes. As illness experience and illness

behaviours have been covered to some degree in the previous sections of the

current paper, these sections will be comparatively brief; only covering health

care-focused applications. The section on health outcomes will be longer, as we

have not covered this in as great depth so far within the current paper.

Illness experience

An individual’s experience of illness symptoms can be influenced by their image

representations associated with the symptoms. To illustrate this, consider the

case of indigestion versus tapeworm. A person experiencing a mild but persistent

stomach upset, eventually consults a doctor to be told that it is: a) mild indi-

gestion; or b) a tapeworm - an infestation of the digestive tract with the tape-

worm parasite. This is a ribbon shaped creature which can come from a cow,

pig, sheep, dog, cat and other animals. Tapeworm eggs are passed in the stools

of a person who is infected and spread through water or surfaces contaminated

with faeces. Despite both conditions presenting identical symptoms, the images

associated with the latter elicits entirely different cognitions and emotions than

those that would be associated with the more common condition of indigestion.

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2466 Psychological Reports 124(6)

The two conditions are therefore experienced in very different ways, despite the

physiological symptoms being similar.

Illness behaviour

Image representations can also affect an individual’s illness behaviours. For

example, Williams et al. (2007) examined adherence to non-medicinal treatments

in children with cystic fibrosis, and found that their visualisation of mucus

building up in their lungs, rather than any verbalised beliefs, was the chief

motivator for them to perform chest physiotherapy. Similarly, Kleinman et al.

(1978)afore-mentioned case study of the woman who was admitted to hospital

with ‘water in her lungs’ and who had attempted to cure this through repeated

vomiting and urination clearly illustrates that visualisation can influence illness

behaviours, as the patient’s image of the body as a system of interconnected

pipes dictated her behaviour as she attempted to cure her illness (i.e., excessive

expulsion of liquids).

Health outcomes

Health outcomes have also been shown to be influenced by patients’ image

representations of their conditions. Broadbent et al. (2004) asked patients

who had suffered a myocardial infarction (MI) to draw their hearts in a pre-

and post-MI state. This study found that the patients’ drawings of their heart

pre- and post- MI were not only accurate indicators of underlying beliefs about

their heart attack, but also a better predictive marker of time taken to return to

work than any clinical indicator. Those who perceived less damage to their heart

recovered more quickly, regardless of the extent of actual damage. The need to address patients’ images is also important due to the potential for

inaccuracy. Inaccurate images nourish inaccurate and potentially damaging

misunderstandings of illness. The breadth of inaccuracy in lay understandings

of anatomy was demonstrated by Boyle (1970) in his comparison of doctors’ and

patients’ location of various organs within a human silhouette. In his study,

Boyle (1970) asked patients and doctors to identify within a picture of a human

silhouette where the kidneys and heart were located. Surprisingly, the identified

locations of these organs were widely varied; clearly indicating that we cannot

assume that lay members of the population have a strong understanding and

knowledge about their internal bodily functioning or even the positioning of

major organs. External images pertaining to illnesses and the body undoubtedly play a role

in subjective visualisations of illness. In clinical settings patients observe images

informally in the form of sketches during consultations, and formally through

use of x-rays, ultrasounds, and endoscopic cameras. Visual language or

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Williams and Murray 2467

The two conditions are therefore experienced in very different ways, despite the

physiological symptoms being similar.

Illness behaviour

Image representations can also affect an individual’s illness behaviours. For

example, Williams et al. (2007) examined adherence to non-medicinal treatments

in children with cystic fibrosis, and found that their visualisation of mucus

building up in their lungs, rather than any verbalised beliefs, was the chief

motivator for them to perform chest physiotherapy. Similarly, Kleinman et al.

(1978)afore-mentioned case study of the woman who was admitted to hospital

with ‘water in her lungs’ and who had attempted to cure this through repeated

vomiting and urination clearly illustrates that visualisation can influence illness

behaviours, as the patient’s image of the body as a system of interconnected

pipes dictated her behaviour as she attempted to cure her illness (i.e., excessive

expulsion of liquids).

Health outcomes

Health outcomes have also been shown to be influenced by patients’ image

representations of their conditions. Broadbent et al. (2004) asked patients

who had suffered a myocardial infarction (MI) to draw their hearts in a pre-

and post-MI state. This study found that the patients’ drawings of their heart

pre- and post- MI were not only accurate indicators of underlying beliefs about

their heart attack, but also a better predictive marker of time taken to return to

work than any clinical indicator. Those who perceived less damage to their heart

recovered more quickly, regardless of the extent of actual damage. The need to address patients’ images is also important due to the potential for

inaccuracy. Inaccurate images nourish inaccurate and potentially damaging

misunderstandings of illness. The breadth of inaccuracy in lay understandings

of anatomy was demonstrated by Boyle (1970) in his comparison of doctors’ and

patients’ location of various organs within a human silhouette. In his study,

Boyle (1970) asked patients and doctors to identify within a picture of a human

silhouette where the kidneys and heart were located. Surprisingly, the identified

locations of these organs were widely varied; clearly indicating that we cannot

assume that lay members of the population have a strong understanding and

knowledge about their internal bodily functioning or even the positioning of

major organs. External images pertaining to illnesses and the body undoubtedly play a role

in subjective visualisations of illness. In clinical settings patients observe images

informally in the form of sketches during consultations, and formally through

use of x-rays, ultrasounds, and endoscopic cameras. Visual language or

14 Psychological Reports 0(0)

metaphors used by health care professionals in interactions with patients may also have a significant impact (Harrow et al., 2008).

The health service in the UK readily and increasingly employs imagery of the body in its growing number of health promotion campaigns, but their use is largely atheoretical (Williams & Cameron, 2009), despite a wealth of theoretical models attempting to define and explain health and illness behaviours existing in the health, psychology and sociology literature (e.g., Theory of Planned Behaviour, Leventhal’s Self-Regulatory Model, Health Belief Model). This is in a context of increasing emphasis on shared decision-making, and a post- modern culture whose population’s everyday lives are increasingly dominated by the visual and who interpret the world and find meaning in more visual ways (Mirzoeff, 1999). Within this visually-focussed society, Government spending on health promotion campaigns involving visual media will almost certainly increase. A strong theoretical premise to justify additional spending and to maximise the effectiveness of health promotion campaigns is therefore crucial.

The backbone of verbal and textual health interventions is usually the spec- trum of behavioural theory, but the applicability of these theories to image based interventions is unknown. The lack of image-appropriate theory is evident in the fact that the UK’s Department of Health consulted the public via a purpose-created website, over which graphic images would encourage smoking cessation if introduced onto cigarette packets. The consultation followed evi- dence from Canada indicating the potential effectiveness of pictorial warnings (Department of Health, 2006), though the intricacies of their impact – how, why, which features – have yet to be determined.

Notwithstanding their atheoretical nature, in the broader health context it has been established that image based interventions can be effective. Petrie et al. (2002) carried out a Randomised Control Trial of an intervention for MI patients, using drawings to explain pathophysiology and symptoms and addressing patients’ misconceptions. Compared to controls (who received stan- dard MI educational materials), the intervention group reported increased preparedness to leave hospital, significantly fewer angina symptoms at three- month follow-up, and they returned to work significantly faster after their MI. To further illustrate, Shahab et al. (2007) carried out a Randomised Control Trial investigating an image based intervention to encourage smoking cessation. Smokers in the intervention group received an ultrasound photograph of their own artery showing atherosclerotic plaque alongside an image of a healthy artery, while controls received verbal information standard to the clinic’s normal practice. The intervention group showed increased perceived suscepti- bility to atherosclerosis, higher rates of engagement in smoking cessation behav- iours, and reported increased intention to stop smoking when followed up at four weeks; although the latter effect was only reported by those with higher levels of self-efficacy. An earlier, similar study by Bovet et al. (2002) employed the same technique with a sample of 153 smokers and found an increased

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2468 Psychological Reports 124(6)

quit-rate at six-months among the group which received ultrasound photo- graphs of their plaques, compared to controls. These findings demonstrate the potential for effective image based interventions in improving health behaviours.

To improve these interventions, inform future development, and target them appropriately, an underpinning theory is required. Of primary concern is the exposure of the complex inter-relationships between the following variables: socioeconomic status and gender, culture, image representations, external images, illness perceptions, cognitions, emotions, and behaviour.

Potential theoretical explanations

This final section will discuss two of the most clearly aligned existing theories which may be relevant in helping explore these inter-relationships. First, illness coherence. This is the extent to which an individual feels they have a clear understanding about a threat to their health and how the recommended action will reduce it. The role of illness coherence was found to be crucial in promoting smoking cessation among females whilst educating them about the associated risk of cervical cancer (Hall et al., 2004). Coherent understandings need not be biologically plausible; simply plausible to the individual based on their subjective understanding of the body and how it works. For instance, if a patient believes that tooth plaque is composed of germs that are killed by tooth- paste, and brushing behaviour increases because of this, then positive health behaviour results despite the less than accurate associated understanding. Conversely, an obese patient presenting with knee pain may not believe that their pain and weight are related and may therefore disregard a doctor’s sug- gestion of losing weight to alleviate their pain.

The second potential theoretical explanation may be drawn from the broad range of psychological processes discussed in the current paper; in particular those focused on cognitive processing. Through understanding the previously discussed underlying psychological mechanisms underpinning health and illness behaviours (such as the dual process theories, exploitation of System 1 decision- al processing and quasirationality models, concrete and abstract image repre- sentation, and encoding/retrieval from memory), existing theoretical explanations attempting to draw together the inter-related elements affecting health and illness behaviours (socioeconomic status and gender, culture, image representations, external images, illness perceptions, cognitions, emo- tions, and behaviour) can be better informed and strengthened.

Within positivist and post-positivist traditions that employ quantitative methods, a focus on the verbal may stem from a practical assumption that the commonality of meaning for words may be assessed and thus counted (Weinman et al., 1996). Within interpretivist paradigms that support the major- ity of contemporary qualitative research there is an acknowledgement of the

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Williams and Murray 2469

quit-rate at six-months among the group which received ultrasound photo- graphs of their plaques, compared to controls. These findings demonstrate the potential for effective image based interventions in improving health behaviours.

To improve these interventions, inform future development, and target them appropriately, an underpinning theory is required. Of primary concern is the exposure of the complex inter-relationships between the following variables: socioeconomic status and gender, culture, image representations, external images, illness perceptions, cognitions, emotions, and behaviour.

Potential theoretical explanations

This final section will discuss two of the most clearly aligned existing theories which may be relevant in helping explore these inter-relationships. First, illness coherence. This is the extent to which an individual feels they have a clear understanding about a threat to their health and how the recommended action will reduce it. The role of illness coherence was found to be crucial in promoting smoking cessation among females whilst educating them about the associated risk of cervical cancer (Hall et al., 2004). Coherent understandings need not be biologically plausible; simply plausible to the individual based on their subjective understanding of the body and how it works. For instance, if a patient believes that tooth plaque is composed of germs that are killed by tooth- paste, and brushing behaviour increases because of this, then positive health behaviour results despite the less than accurate associated understanding. Conversely, an obese patient presenting with knee pain may not believe that their pain and weight are related and may therefore disregard a doctor’s sug- gestion of losing weight to alleviate their pain.

The second potential theoretical explanation may be drawn from the broad range of psychological processes discussed in the current paper; in particular those focused on cognitive processing. Through understanding the previously discussed underlying psychological mechanisms underpinning health and illness behaviours (such as the dual process theories, exploitation of System 1 decision- al processing and quasirationality models, concrete and abstract image repre- sentation, and encoding/retrieval from memory), existing theoretical explanations attempting to draw together the inter-related elements affecting health and illness behaviours (socioeconomic status and gender, culture, image representations, external images, illness perceptions, cognitions, emo- tions, and behaviour) can be better informed and strengthened.

Within positivist and post-positivist traditions that employ quantitative methods, a focus on the verbal may stem from a practical assumption that the commonality of meaning for words may be assessed and thus counted (Weinman et al., 1996). Within interpretivist paradigms that support the major- ity of contemporary qualitative research there is an acknowledgement of the

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ways in which beliefs and meanings may be embodied in forms other than words. However, almost all qualitative research continues to focus exclusively on words. Lessons for developing better research understanding images and their representations in health and illness behaviours can, however, be learned.

By not researching this area we may be: failing to address an important dimension of people’s illness experience; using images both formally and informally in ineffective, inefficient or even unhelpful ways; and wasting an opportunity to use an increasingly acceptable and powerful tool to influence experience, behaviour, and health outcome. Descriptive primary and inductive research is required to address some of the fundamental questions proposed in this paper and these might best begin by examining patient experience.

Conclusion

Illness behaviours are complex but are well studied across the social and behav- ioural science disciplines. The literature across these disciplines demonstrates convergence across four key areas, despite being theoretically and philosophi- cally contrasting. As discussed, the first commonality which these fields empha- sise the importance of understanding the importance of patient perspective, emphasising illness beliefs, explanatory models, or illness representations. The second convergence is around recognising the person’s perception of the cause, their sense of identity with the illness, the consequences, and the level of control that they have or believes that they have over their health outcomes. Third, the recognition across the disciplines that health beliefs may influence illness expe- rience, behaviours, and outcomes; and, finally, the cross-discipline emphasis on understanding illness beliefs and experience has to date been achieved through an almost exclusive focus on the written or spoken word. The current paper has focused upon this fourth commonality, exploring current theoretical and empir- ical evidence across the social and behavioural sciences relating to the role of images in illness behaviours. Images in the context of the current paper are considered to be both visual and mental image representations. The core find- ings from the current paper indicate that images can affect illness behaviours in multiple ways, at both an unconscious/precognitive and a conscious level. The use of images in healthcare can elucidate a person’s and practitioner’s understandings about an illness, can facilitate communication about the illness and treatment decision making, and may subsequently support better health outcomes if effectively applied. It is this latter point which public health practi- tioners, academics, and health professionals could further develop to best support health outcome improvement for patients.

The decision to focus on the role of images in understanding illness behav- iours in the current paper was taken to due to the relative scarcity of cross- disciplinary theoretical discussion first, and, second, that the existent theoretical underpinnings are largely not applied to visual intervention development in

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2470 Psychological Reports 124(6)

current practice. In recent years, there has been an expansion on the number and

nature of health promotion interventions, and in particular on using image-

based representations. While there has been research across disciplines on illness

representations and behaviours and their relation to patients’ image-based

understandings at both a conscious and unconscious level, the evidence base

for applying this theory and literature to visual/image-based intervention devel-

opment is scarce. It appears that the majority of visual and image-based inter-

ventions are not designed using an explicit theory-informed approach. Based on

the evidence discussed in the current paper, we argue that through not integrat-

ing theoretical underpinnings and understandings of image-based health and

illness representations into visual health interventions, their efficacy and effec-

tiveness will be limited at best and ineffective at worst, leading to research waste.

Future academics, health professionals, and other stakeholders who wish to

develop visual interventions should engage with the literature across fields and

use this to develop an explicit and clear theoretical underpinning framework for

their intervention to improve the quality and effectiveness. Ideally, interdisci-

plinary working should be employed to bring together fields of expertise, to lead

to more efficacious visual interventions being developed.

Declaration of conflicting interests

The author(s) declared no potential conflicts of interest with respect to the research,

authorship, and/or publication of this article.

Funding

The author(s) received no financial support for the research, authorship, and/or publi-

cation of this article.

ORCID iD

Jennifer Murray https://orcid.org/0000-0002-1076-3461

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Williams and Murray 2471

current practice. In recent years, there has been an expansion on the number and

nature of health promotion interventions, and in particular on using image-

based representations. While there has been research across disciplines on illness

representations and behaviours and their relation to patients’ image-based

understandings at both a conscious and unconscious level, the evidence base

for applying this theory and literature to visual/image-based intervention devel-

opment is scarce. It appears that the majority of visual and image-based inter-

ventions are not designed using an explicit theory-informed approach. Based on

the evidence discussed in the current paper, we argue that through not integrat-

ing theoretical underpinnings and understandings of image-based health and

illness representations into visual health interventions, their efficacy and effec-

tiveness will be limited at best and ineffective at worst, leading to research waste.

Future academics, health professionals, and other stakeholders who wish to

develop visual interventions should engage with the literature across fields and

use this to develop an explicit and clear theoretical underpinning framework for

their intervention to improve the quality and effectiveness. Ideally, interdisci-

plinary working should be employed to bring together fields of expertise, to lead

to more efficacious visual interventions being developed.

Declaration of conflicting interests

The author(s) declared no potential conflicts of interest with respect to the research,

authorship, and/or publication of this article.

Funding

The author(s) received no financial support for the research, authorship, and/or publi-

cation of this article.

ORCID iD

Jennifer Murray https://orcid.org/0000-0002-1076-3461

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Author Biographies

Brian Williams: Professor Williams has over 25 years research experience and 12 years’ experience of leading two different joint university multidisciplinary research units. Although he maintains an international research profile in behav- ioural science and research methods, his key focus and national and interna- tional reputation is on development of research expertise at the individual, group and organizational level – especially in the area of nurses, midwives and allied health professionals. This includes levering and facilitating national policy, and working across HEIs.

Jennifer Murray: is an active researcher in the areas of forensic psychology and applied health research, with an overarching theme of decision science pulling these two areas together. She is passionate about developing useful, theoretically sound interventions and outputs from her research and typically collaborates across multidisciplinary teams and non-academic stakeholders to make her research as applicable to ‘real practice’ as possible. The key focus of Murray’s work is on developing clinically useful research which can inform and/or sup- port day to day practice.

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