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2011 vol. 35 no. 4 AUSTRALIAN AND NEW ZEALAND JOURNAL OF PUBLIC HEALTH 319© 2011 The Authors. ANZJPH © 2011 Public Health Association of Australia
Trust has become an increasingly
important component of life in late
modernity.1-3 Trust is important to
health creation, wellbeing and happiness4,5
and is fundamental to the generation of social
capital6-8 and positive social relationships
that can lead to better health. Trust is central
to relationships within health care, for the
provision and acceptance of expert advice,5
the development of the self-efficacy needed
for the management of chronic illness;9 and
consumers’ reliance on mechanisms that are
designed to prioritise health and safety.
This study explores trust in the food system.
Trust for this study was initially defined as
“the mutual confidence that no party will
exploit another’s vulnerability”10 (p.1133).
However, since this definition implies that
trust is merely a product or process of inter-
personal relationships between individuals,
we also qualify the definition by reference
to the idea that to trust others is to “accept
the risks associated with the type and depth
of the interdependence inherent in a given
relationship.”11 By a ‘relationship’, we do
not limit trust to being an inter-personal or
inter-subjective outcome. Rather, we view
relationships as ‘systems of communication’
between individuals and social systems, and
therefore trust is the process and outcome of
relationships between individuals-individuals,
individuals-social systems, and social
systems-social systems.12
In relation to food and health, trust is
crucial if consumers are to recognise and
accept the benefits of new food technologies,
follow expert advice about healthier eating
habits, and feel assured that food regulation
is protecting their best interests. Trust directly
affects dietary patterns and food intake,
and ipso facto nutritional status. Although
the precise nutritional outcomes of altered
food choice as a consequence of trust are
unknown, dietary modelling shows that
essential nutrients can be marginalised by the
elimination from the diet of food considered
unsafe.13 Also, unorthodox and possibly
dangerous eating habits – for example,
avoidance of core food groups – can arise
when consumers distrust standard regulatory
controls.14 Second, trust plays an important
role in consumer recognition of expert-
endorsed dietary recommendations.15 Efforts
to improve public understanding about diet
rely on consumer trust in both the credibility
of the message and the probity of the
Abstract
Objective: Trust is a crucial component of
food safety and governance. This research
surveyed a random selection of the
population to examine its level of trust in a
variety of ‘actors’ and organisations in the
food chain.
Methods: A computer-assisted telephone
interviewing (CATI) survey addressing
trust in the food system was administrated
during October to December 2009 to
a random sample of 1,109 participants
across all states (response rate 41.2%).
Results: Farmers enjoyed high levels of
trust, whereas politicians were considered
less trustworthy. Supermarkets were
afforded more trust than media and news
outlets. Logistic regression analysis
determined that two socio-demographic
variables – age and education level – were
significantly associated with trust in food
actors, with young people finding the
media the least trustworthy.
Conclusions: Our respondents invested
the most trust in farmers, possibly
indicating an awareness and appreciation
of primary food production among
the Australian public. The finding that
young people’s trust in the media is low
challenges media use in social marketing
campaigns aimed to improve health and
nutrition in younger age groups.
Implications: Health education, including
nutrition education, needs to consider the
channels of communication most suited to
age and social grouping.
Key words: Food safety; trust; government;
survey; public health; Australia
Aust NZ J Public Health. 2011; 35:319-24
doi: 10.1111/j.1753-6405.2011.00725.x
Farmers are the most trusted part of the Australian food
chain: results from a national survey of consumers
Submitted: September 2010 Revision requested: January 2011 Accepted: March 2011Correspondence to: Prof. John Coveney, Public Health Sciences, Flinders University, Adelaide SA; e-mail: [email protected]
Julie HendersonSchool of Nursing and Midwifery, Flinders University, South Australia
John CoveneySchool of Medicine, Flinders University, South Australia
Paul R. WardDiscipline of Public Health, Flinders University, South Australia
Anne W. TaylorDiscipline of Medicine, University of Adelaide, South Australia
Article Food and Drink
320 AUSTRALIAN AND NEW ZEALAND JOURNAL OF PUBLIC HEALTH 2011 vol. 35 no. 4© 2011 The Authors. ANZJPH © 2011 Public Health Association of Australia
organisation. Public trust, and thus credibility of dietary messages,
is jeopardised when the ‘messenger’ is regarded as fallible16,17 or
when commercial concerns in private-public food campaigns are
believed to have overtaken public interests.18,19 Finally, trust is
integral to public attitudes to food regulation and the structure and
operation of regulatory regimes.20
In Australia there has been concern that public mistrust of
government regulation of some issues (e.g. genetically modified
food legislation) may overflow and negate efforts to influence and
improve dietary habits through mechanisms such as food labelling.21
Moreover, the success of the planned introduction of pre-approved
health claims on food in Australia is predicated on consumer trust
in both the efficacy of the claim and the regulatory mechanism
overseeing claim substantiation.22 Damage to public trust of either
could undermine the work of the national food regulator, Food
Standards Australia and New Zealand (FSANZ), resulting in a
potential waste of effort and resources. Trust is, therefore, crucial
to perceptions of good governance and the effective investment of
resources.
Trust in the safety of food and of food regulation has been
found to be related to major food scares in European countries,23-26
resulting in diminishing trust in many of the institutions involved
in regulating and providing information about food safety. The
Trust-in-Food survey conducted in seven European countries
demonstrated, for example, that while retailers were trusted to
maintain the safety of food products, other food ‘actors’, including
farmers, food authorities, the food manufacturing industry and the
media, were distrusted by food consumers.25 While the passage of
time23 and institution of measures to increase the transparency of
food governance27,28 have increased levels of trust in the food supply
in general, trust in farmers and politicians remains low.26 Trust in
the media is also low, but is tempered by the expectation that the
media will identify emerging food risk. There is a taken-for-granted
expectation that the media will exaggerate these risks.29
While Australia has not experienced food scares of the same
magnitude as some countries, there is some evidence of diminishing
trust in the food supply.30 Unlike Europe, however, the food fears
most often documented are those surrounding the use of pesticides,
food additives and preservatives.30 What is not known is the degree
of trust in food actors and institutions within Australia. This study
replicates aspects of the European Trust-in-Food survey, which
sought to explore social and relational aspects of trust across all
aspects of the food chain,25 with the addition of questions from the
Social Quality Survey,31 which addresses personal and systemic
trust. These questions were added to determine the extent to which
lack of trust in the food system and food actors reflects generalised
systemic distrust.
Social context plays an important role in consumer trust in food
recommendations, food institutions and food regulations. Research
suggests that people of a higher socio-economic status (SES)
are more likely to share with food experts a ‘technical-rational’
understanding of food; that is, one based on and deduced from an
empirical basis of objective knowledge.32 This is related to level
of education. Frewer et al. found that people with higher levels of
education displayed significantly more trust in government as a
source of information about food hazards, and less trust in the food
industry and tabloid newspapers, compared with people with fewer
years of education.33 Similarly, Kornelis et al. found that higher
levels of education were associated with use of government and
scientific information sources rather than social networks.34 On the
other hand, groups of a lower SES draw on different understandings
of food and health, particularly related to the use of informal
sources of information, personal experience and functional-concrete
outcomes.34-36
Age also influences food choice, consumer acceptance of expert
knowledge of food and trust in the food supply. Lupton, using
qualitative research, found age differences in public perceptions
of food risk,37 while Holmberg et al. identified little interest in, or
reflection on, the safety of the food supply among younger Australian
participants.38 Similarly, a national Australian survey of food fears
found that participants aged 18-24 were significantly less likely to cite
concerns with pesticides and food additives and with food hygiene
issues than older participants.30 Age also affects which sources are
trusted to provide food information, with parents and teachers viewed
as the most reliable sources by people in their teens.39
Gender has also been found to be related to trust in the food supply.
Poppe and Kaerjnes, in survey research across seven European
countries, consistently found that women were significantly less
likely to consider specific food items as ‘very safe’ to eat when
compared with men,25 while Williams et al. found that Australian
women expressed significantly less concern with quarantine and
environmental issues and significantly more concern with fast food
than their male counterparts.30 Gender differences are also evident
in the level of trust placed in sources of information about food
hazards. Frewer et al. found that women had greater trust in members
of parliament and the food industry and less trust in both tabloid
and broadsheet newspapers than men.33 The presence of dependent
children is also a factor, with people with dependent children having
a greater interest in, and greater use of, food safety information.34
This paper addresses trust in food institutional actors and the
impact of five demographic factors: age, gender, highest education
level obtained, Index of Relative Socioeconomic Disadvantage
(IRSD) score and the presence of children under 18 in the household
on trust in these actors. These data will be discussed in relation
to strategies to improve the provision of food safety and health
information to targeted audiences. Ethics approval for the study
was gained from the Social and Behavioural Ethics Committee of
Flinders University.
MethodParticipants for this study were randomly selected from the
Australian Electronic White Pages (EWP). A simple, random
sample was employed. Within each contacted household a random
person (the person, aged 18 years or over, who was last to have
a birthday) was selected. There was no replacement for non-
contactable persons. On average, interviews took 14.5 minutes.
All households in Australia with a telephone connected and the
Henderson et al. Article
2011 vol. 35 no. 4 AUSTRALIAN AND NEW ZEALAND JOURNAL OF PUBLIC HEALTH 321© 2011 The Authors. ANZJPH © 2011 Public Health Association of Australia
telephone number listed in the Australian EWP were eligible for
selection in the sample. An approach letter, on Flinders University
of South Australia letterhead, was sent to all selected households
detailing the purpose of the study and notifying the household that
it would receive a telephone call. Along with the letter there was
an information sheet containing information about the purpose and
benefits of the research, the format of the survey and how more
information could be obtained.
Before the main survey, a pilot study of 52 randomly selected
households was conducted to test question formats and question
sequence, and to assess survey procedures. The questionnaire
was amended on the basis of the information obtained. Data
collection was undertaken by the contracted agency from October
to December 2009. Professional interviewers conducted the
interviews. Interviews were conducted using computer-assisted
telephone interview (CATI) methodology. This system allows
immediate entry of data from the interviewer’s questionnaire screen
to the computer database. A minimum of 10 call-backs were made
to telephone numbers selected to interview household members.
Different times of the day or evening were scheduled for each call-
back. If the person could not be interviewed immediately they were
re-scheduled for interview at a time suitable to them. Replacement
interviews for persons who could not be contacted or interviewed
were not permitted. Ten per cent of each interviewer’s work was
randomly selected for validation by the supervisor.
The overall sample response rate was 41.2%, which is in keeping
with other projects administering surveys via CATI methods.40
Initially a sample of 4,100 was drawn. Sample loss of 1,408 occurred
due to non-connected numbers (1,060), non-residential numbers
(135) and fax/modem connections (74), leaving 2,692 viable phone
numbers. Dillman et al.40 note that the growing use of mobile
phones has contributed to decreasing responses rates for surveys
administered via telephone. The use of landline phone numbers was
a limitation of this study and potentially biased the sample towards
older homeowners who were more likely to maintain a landline.
Weighting was used to correct for areas of disproportion within
the sample with respect to the population of interest. The weights
reflect unequal sample inclusion probabilities and compensate for
differential non-response. The data were weighted by age and sex
to reflect the structure of the Australian population 18 years and
over. The population for Australia was obtained from the Australian
Bureau of Statistics 2007 Estimated Residential Population.
The survey addressed issues of: knowledge of and trust in the
food regulation system; food choice; food scares; general level of
personal and systemic trust; and demographic questions. Trust in
the food system was determined through two series of questions:
the first asking participants about how much they trust food actors
and second about level of trust in the truth telling capacity of these
institutions during a food scare. This paper draws on four questions
addressing trust in supermarket chains, farmers, politicians and
press, television and radio (www.flinders.edu.au/medicine/sites/
public-health/research/current-projects/food_trust_project.cfm).
Data were collected on a scale ranging from “complete trust” to
“complete distrust” with a response for “don’t know”. “Complete
trust” and “have some trust” were recoded as 1 while, “have some
distrust”, “completely distrust” were recoded as 0. The “don’t
know” responses were treated as missing data. This was done as
the five-point scale left us with small sample sizes for statistical
analysis, so we needed to recode and created categories relating to
“trust” and “distrust”.
Demographic questions asked included age, sex, household
size, postcode, martial status, work status, country of birth, highest
education level obtained, housing status and annual household
income. The independent variables used in this study were age,
gender, highest education level obtained, Index of Relative
Socioeconomic Disadvantage (IRSD) score and the presence of
children under 18 in the household. Age was divided into four
categories (18-24 years; 25-44 years; 45-64 years; and 65 and over).
The data on postcode was used to generate an IRSD score. The IRSD
uses 17 variables associated with socioeconomic disadvantage such
as low income and lack of post-schooling education to summarise
the economic and social resources of households within a given
area. A low score indicates relatively greater disadvantage in
general. These data were divided into quintiles on the basis of the
range of scores within a state or territory.41 This variable was used
as an indicator of socio-economic status. Data were analysed using
univariate, bivariate and multivariate techniques via SPSS version
17.0 for Windows. The research was carried out according to the
Ethical Guidelines for Social and Behavioural Research B (January
2008) produced by the Social and Behavioural Research Ethics
Committee of the Flinders University of South Australia.
ResultsTable 1 outlines the key demographic characteristics of the
participants. Participants ranged from 19 to 81 years of age (mean
45±17 years), with women in a slight majority (50.7%). The
participants were drawn from across the country, with the majority
residing in major cities (56.5%) or inner regional areas (26.4%).
The preponderance of participants were in the workforce (64.1%),
with 18% identifying as being retired.
Trust in food institutionsTable 2 contains frequencies for the level of trust in the media,
supermarkets, farmers and politicians. As demonstrated, level of
trust in farmers is highest (93.1%) compared with media (51.7%
trust), supermarkets (66%) and politicians (44.2%). The extent of
trust in farmers is also reflected in the proportion of participants
who have ‘complete trust’ in farmers (32.0%), compared with 2.6%
for supermarkets, 1.2% for media and 0.6% for politicians.
Impact of demographic characteristics on trust in food actors
Chi squares were undertaken to identify the demographic
characteristics having an affect on trust in the food actors (see
Table 2). Age (p<0.001) and highest level of education (p<0.5) were
associated with trust in media. Trust in supermarkets was associated
with age (p<0.001) and the presence of children under 18 years
within the home (p<0.01), while trust in farmers was associated
Food and Drink Consumer trust along the food chain
322 AUSTRALIAN AND NEW ZEALAND JOURNAL OF PUBLIC HEALTH 2011 vol. 35 no. 4© 2011 The Authors. ANZJPH © 2011 Public Health Association of Australia
Table 1: Demographic characteristics of participants.
n=1,109
Gender
Male 49.3%
Female 50.7%
Age
18-24 years old 15.9%
25-44 years old 36.0%
45-64 years old 31.5%
65 and older 16.6%
Highest level of education attained
No schooling to secondary schooling 44.2%
Trade, certificate, diploma 31.1%
Degree or higher 24.7%
Index of Relative Socio-economic Disadvantage scores
Lowest quintile 18.1%
Low quintile 24.0%
Middle quintile 19.7%
High quintile 19.2%
Highest quintile 19.1%
Children under 18 in household
No children under 18 53.3%
Children under 18 46.7%
Table 2: Prevalence of trust in food actors.
Trust in media Trust in supermarkets Trust in farmers Trust in politicians
n % n % n % n %
Total 569 51.7 726 66.0 1,016 93.1 484 44.2
Gender
Male 277 50.9 354 65.1 505 93.0 234 43.3
Female 292 52.4 372 66.9 511 93.2 250 45.0
Age (years)
18-24 65 36.9a 136 77.3a 169 97.1b 75 42.6
25-44 228 57.3 283 71.3 375 94.2 174 44.2
45-64 173 49.9 197 57.1 309 90.9 147 42.5
65 and over 103 57.2 109 60.2 163 90.6 88 48.9
Highest education
None to secondary school 253 52.4b 330 68.3 451 94.4 219 45.3
Trade, certificate, diploma 191 55.5 225 65.2 317 93.0 160 46.5
Degree or higher 125 45.6 171 62.9 248 90.8 105 38.9
IRSD
Lowest quintile 117 59.1 135 68.5 185 94.9 101 51.0
Low quintile 131 49.8 175 66.3 250 95.4 114 43.2
Middle quintile 108 49.8 140 64.8 193 90.6 96 45.3
High quintile 103 48.6 133 63.3 195 92.4 81 38.4
Highest quintile 109 51.9 142 67.3 193 92.3 92 43.6
Children under 18
No children under 18 243 49.5 304 61.8 448 92.2 229 46.5
Children under 18 221 50.9 307 70.7c 403 93.3 174 40.5
Notes:a. Significant at p<0.001. b. Significant at p<0.05. c. Significant at p<0.01.
with age only (p<0.5). No variable was found to be associated with
trust in politicians.
In addition, binary logistic regression was undertaken using the
five variables: age; gender; highest level of education attained; the
presence of children under 18 in the household; and IRSD score
(see Table 3). Of these variables only two, age and highest education
level, were found to affect trust in food actors. Greater distrust in
the media was associated with people aged 18-24 with a degree or
higher qualification. Participants aged 25-44 had an odds ratio of
2.39, those aged 45-64 had an odds ratio of 1.75 and those 65 and
over had an odds ratio of 1.65 in comparison with people aged 18-
24 years of age. Conversely, people aged 18-24 were significantly
more trusting of both supermarkets and farmers than those aged
over 45 (0.42 and 0.27 for people aged 45-64 and 0.48 and 0.29 for
those aged 65 and over, respectively).
DiscussionParticipants in this study displayed moderate levels of trust in the
media and supermarkets, and little trust in politicians, reflecting
results attained in other contexts.25,26,42 Contrary to findings in
European studies, however, participants displayed considerable trust
in farmers. Lack of trust in farmers in the European context has
been associated with globalisation and a growing distance between
farmer and consumer,43 but also with negative media coverage of
Henderson et al. Article
2011 vol. 35 no. 4 AUSTRALIAN AND NEW ZEALAND JOURNAL OF PUBLIC HEALTH 323© 2011 The Authors. ANZJPH © 2011 Public Health Association of Australia
farming practices in the wake of major food scares such as mad
cow disease.44 Higher levels of trust in farmers in Australia may be
the result of lower levels of food importation alongside of limited
exposure to food scares.37
When the impact of demographic factors on level of trust in
food actors is explored through multivariate analysis, only age and
highest level of education attained were found to be associated with
trust. There are significant differences between participants aged
18-24 and older participants in relation to trust in three of the four
food actors. Younger participants are less trusting of the media and
more trusting of supermarkets and farmers than older participants.
Similar results have been obtained in other research, which found
that younger people are less concerned with food hazards31,37 and
with the safety of the food supply generally.38 A lack of concern is
often associated with poor food choice and risk-taking behaviours,
leading Holmberg et al. to conclude that younger people may lack
reflexivity in relation to food choice, which is often made with
references to cost, time and appearance rather than health or safety
concerns.38,45,46
People aged 18-24 and those with a degree or higher qualification
also demonstrated less trust in the media. Existing research suggests
that people with higher levels of education are less trusting of tabloid
media33 and more able to draw on a wider range of information
sources.32,34 While this study did not seek information about the
sources of information used, trust, or lack thereof, may arise from
information sources that are viewed as less or more accurate.
These findings may have implications for the targeting of public
health messages, especially using particular media sources for social
marketing. For example, the distrust with which some media are
held by young people could lead to problems of credibility of the
message simply by virtue of the medium by which the message is
carried. Younger people’s low credibility of some media sources
might, therefore, lessen the effect of programs and campaigns aimed
at them. While this possibility is speculative, it is worth considering
for further research. Tailored health education requires consideration
of the conduits most suited to the age and social group,47 which
should include assessment of the most suitable – and therefore most
credible – information sources.
Despite this finding, there are a number of limitations to the study.
Most significantly, the study only explored trust in four food actors,
precluding actors such as consumer groups, the food manufacturing
industry and food regulatory bodies. This can be justified, in part,
by lack of consumer knowledge of these organisations and their
role in the food system, but it prevents a more complete picture
of trust in the food system.48 In addition, the study focuses upon
generalised trust as well as trust in the information provided by
these food actors to the detriment of the exploration of trust in the
other roles performed by these agencies.
Finally, there were a number of issues related to the sampling
frame and final sample that are worthy of mention. First, the EWP
used as our sampling frame only listed households with a telephone
and, therefore, there was a sampling bias, since we did not include
any households without a telephone which may have had differing
ideas about trust than our actual sample. Second, while a response
rate of 41.2% is acceptable for CATI surveys,40 it suggests a need
for caution in generalising these results to the wider population,
primarily due to non-response bias. Indeed, response rates are
declining in surveys based on all forms of interviewing,49,50 possibly
as a result of people becoming either more active in protecting their
privacy or less engaged or interested in research.51 Third, while the
data in the final dataset were weighted to reflect the demographic
structure of the Australian population, the demographics of non-
respondents were and cannot be analysed due to the use of a random
sample based on landline telephone numbers and, therefore, caution
needs to be taken when interpreting the findings. This may be an
issue since it is possible that the non-responders were less trusting
than the responders. Notwithstanding these potential limitations,
the strength of this study includes the random sampling, the large
sample size and the weighted data.
ConclusionThe findings of the CATI survery suggest that respondents
hold considerable trust in farmers and moderate levels of trust in
supermarkets, media and politicians. Significant differences in levels
of trust were found to be related to both age and education level,
with people 18-24 years old displaying more trust in supermarkets
and farmers and less trust in the media than other respondents. The
level of trust placed in these actors may need to be considered when
developing targeted public health campaigns.
Table 3: Odds ratios for trust in food actors.
Trust in media Trust in supermarkets Trust in farmers Trust in politicians
Age
18-24 y.o. 1.00 1.00 1.00
25-44 y.o 2.39a (1.60-3.56)
45-64 y.o. 1.75 (1.16-2.64) 0.42 (0.26-0.65) 0.27 (0.10-0.73)
65 and over 1.65 (1.01-2.71) 0.48 (0.29-0.80) 0.29 (0.10-0.85)
Highest education
None to secondary school 1.51 (1.07-2.13)
Trade, certificate, diploma 1.71 (1.20-2.43)
Degree or higher 1.00
Note:a. All data significant at p<0.05.
Food and Drink Consumer trust along the food chain
324 AUSTRALIAN AND NEW ZEALAND JOURNAL OF PUBLIC HEALTH 2011 vol. 35 no. 4© 2011 The Authors. ANZJPH © 2011 Public Health Association of Australia
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