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HEALTH PROMOTION INTERNATIONAL
C Oxford University Press 1996
Vol. 11, No. I
Printed in Great Britain
Using theory to guide policy relevant health promotion
research
KATHRYN DEAN
Research and Training Consultant, Population Health Studies, Copenhagen, Denmark
SUMMARY
The concept of health promotion has evolved into a
strategy for improving health that goes beyond indi-
vidual behaviour to include the physical, social and
economic environments in which health and behaviour
are shaped. The core of the strategy is to stimulate action
against the root causes of ill health in communities. A
prerequisite for effective health promotion action is valid
knowledge about how forces protect or damage health
in daily life. Developing and using theory to guide the
collection, analysis and evaluation of empirical evidence
is a neglected aspect of obtaining the knowledge needed
for promoting health. Population interventions to
reduce cholesterol provide an example that illustrates
the consequences of basing community health policy
and programmes on findings from empirical research
without developing a logically sound theoretical basis
for identifying inconsistencies and contradictions in the
findings. The use of theory to guide research to support
health promotion action is discussed.
Key words: health promotion; informed action; theory
INTRODUCTION
The field of health promotion is infusing new
thinking into population health research and the
policy making process for health. Originating in a
critique of traditional health education (Green
and Raeburn, 1988), the concept of health
promotion has evolved into a strategy for
improving health that goes beyond individual
behaviour to include the physical, social and
economic environments in which both health and
behaviour are shaped (World Health Organiza-
tion (WHO), 1984; Kickbusch, 1986). The core
of the strategy is to stimulate action on the root
causes of ill health in communities.
What then, it might be asked, has theory, a core
element of 'basic' research, to do with health
promotion? Since health promotion research is
supposed to support action, it is, in the minds of
many, limited to 'action' research. When focused
on community health, action research involves
attempts to change policies, environments,
professional services or the personal behaviour of
individuals in order to improve health. Frequently
it involves implementing and assessing the effects
of interventions. Clearly, action and/or action
research based on faulty 'basic research', will lead
to uncertain problem identification or incorrect
assumptions that misdirect policy (Orosz, 1994).
A prerequisite for action that addresses the
root causes of poor health in communities is valid
knowledge about the forces that protect and
damage health in daily life. Characterized as a
'knowledge challenge' (Kickbusch and Dean,
1992; Labonte, 1994), a health promotion
strategy involves assuring a valid knowledge base
to inform the action. Without entering the deep
and muddy waters of debates about the differ-
ences between basic and applied research, this
paper asserts that theory is essential to valid and
meaningful research, however conceptualized.
Since the central concerns of theory building have
19
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20 K. Dean
to do with explaining phenomena in both the most
comprehensive and the most precise way possible
(Selltiz et al., 1976; Suppe, 1977a), it might be
concluded that theory is the most fundamental
prerequisite of a policy science, and that the
absence of theory and effective theory building
are serious weaknesses of much of the existing
research available for the policy making process
for improving the health of populations.
In order to explore these issues, a detailed
example will be used to illustrate the conse-
quences of basing community health policy and
programmes on findings from empirical research
without developing a logically sound theoretical
basis for identifying inconsistencies and contra-
dictions in the findings. Based on this example,
the use of theory to guide basic and applied
research to support health promotion action will
be discussed.
COMMUNITY INTERVENTIONS TO
REDUCE CHOLESTEROL
In the 1980s, major health policy initiatives
directed toward reducing cardiovascular disease
involved population interventions to reduce
cholesterol blood levels. A well-documented
higher risk of death from coronary heart disease
among persons with elevated levels of blood
cholesterol formed the basis of the policies
focused on activating people to lower blood
cholesterol. The goal was to contribute to improv-
ing public health by shifting the distribution of
blood cholesterol concentrations for entire
populations (Consensus Conference, 1985;
Study Group, 1987). Extensive public funds were
used in many countries on interventions and
health education focused on getting people to
change their diets, obtain blood cholesterol
measurements and even use drugs to reduce
cholesterol levels. After extremely costly popula-
tion based programmes had been in place for
some time, it became known that not only high,
but also low levels of blood cholesterol are asso-
ciated with disease and death—that there is a
'U-shaped curve' in the relationship between
blood cholesterol and mortality.
Muldoon and his colleagues (1990), conducted
a meta-analysis, a quantitative review of the
evidence, on findings from primary prevention
trials of the type that had been used to justify this
community health policy. The purpose of the
meta-analysis was to determine the effects of
lowering blood cholesterol on total and case
specific mortality. In order to enhance the
comparability of the findings and reduce statis-
tical effects from combining data from different
studies, rigorous criteria were developed for
accepting experimental trials into the study. Each
project had to have: (i) been a randomized clinical
prevention trial of serum cholesterol reduction;
(ii) included a treatment group that received
instructions for a diet and/or drugs to reduce
cholesterol and a control group; (iii) resulted in
the lowering of cholesterol in the intervention
group relative to the control group; and (iv)
reported both total and cause specific mortality in
the results of the trial. Six randomized trials total-
ling 24 847 male participants could be accepted
on the basis of these criteria.
The results of the meta-analysis showed that
while each trial reported evidence of success in
lowering blood cholesterol levels, the evidence of
any reduced coronary heart disease (CHD)
mortality was weak, and overall survival among
men who underwent lipid lowering treatment was
not improved. Furthermore, mortality not related
to illness was nearly twice as high in the inter-
vention groups as in the control groups, a finding
consistent for all six studies whether or not the
cholesterol lowering treatment was carried out
with drugs or dietary education. These highly
consistent and disturbing results were reported
about the same time that other investigators were
uncovering similar findings (Holme, 1990;
Strandberg etal., 1991).
The evidence from studies of cholesterol
reduction was presented for evaluation in a US
National Heart, Lung and Blood Institute expert
conference in 1990 (Conference Report, 1992).
The experts reviewed and discussed existing data
on the left-hand limb (association between low
cholesterol and mortality) of the U-shaped curve,
the term that is used to represent the greater
mortality found among persons with both high
and low blood cholesterol levels. Presenting
results of a statistical overview of available cohort
studies with findings involving 68 406 deaths, a
study of unprecedented size, it was documented
that the higher mortality rates associated with low
blood cholesterol held both across studies and for
a diverse range of causes. Especially high excess
death rates from digestive system conditions and
from less common diverse causes were found, but
also cancer, respiratory system and injury deaths
were associated with low cholesterol.
The findings of higher risk of death from causes
other than CHD held for both men and women.
At the same time, however, the second major
finding of the conference report was the 'surpris-
ing observation' that for women 'high blood
cholesterol is not associated with all-cause mor-
tality nor even with cardiovascular mortality'
(Hulley et al., 1992). Three major conclusions
were drawn from the findings presented in the
expert conference:
• the association between low blood cholesterol
and noncardiovascular deaths indicated the
need to review policies aimed at shifting entire
population distributions of blood cholesterol
to lower levels;
• the lack of association between high blood
cholesterol and cardiovascular deaths in
women indicated that, except for those with
coronary disease or other high risk of CHD
death, 'it no longer seems wise to screen for and
treat high blood cholesterol in women';
• the findings in primary prevention trials of
cholesterol intervention that the increase in
non-CHD mortality rates is similar to the
decrease in CHD death rates indicated that,
except for people who already have coronary
disease, it is unwise to treat high blood choles-
terol with drugs.
IMPORTANCE OF KNOWING AND USING
RELEVANT RESEARCH LITERATURE
Actually, it turns out, as noted by Hulley and his
colleagues (1992), that this 'U-shaped curve' had
been reported for two decades. Moreover,
Muldoon and his colleagues (1990) had noted
that, although large primary prevention trials had
found evidence suggesting that lowering serum
cholesterol concentrations reduced the incidence
of coronary events, predominantly myocardial
infarction, only one had found mortality from
heart disease lowered significantly after choles-
terol reduction.
If one examines research literature other than
that from controlled clinical trials, evidence that
would have foreseen these findings goes back to at
least 1962 (Groen et al). In an investigation
conducted in Holland, cholesterol research was
placed in a lifestyle context, with the result that
the findings differed considerably from simple
predictive correlations between measures of
cholesterol and CHD mortality. The study
involved comparative analyses of behavioural
Using theory to guidepolicy 21
and health variables in populations of Benedic-
tine and Trappist monks living in cloistered
monasteries.
It was found that blood cholesterol levels were
much higher in all age groups for the Benedictine
monks compared to the Trappist monks. The
essentially vegetarian diet of the Trappist monks
is much stricter than that of the Benedictines. This
is evidence that diet can affect blood cholesterol,
also shown in the cholesterol intervention trials.
Cardiovascular disease incidence was, however,
in spite of the higher cholesterol levels of the
Benedictines, the same in both monk populations,
and much lower than in the general male popula-
tion of comparable age in Holland. The findings
show that even if blood cholesterol is a contrib-
uting factor in cardiovascular disease, it is not a
sufficient cause. Social and psychosocial pro-
cesses, as either component causes or modifiers
of disease processes, appear to be the determining
influences. This study illustrates that it is research
on lifestyle, understood as patterns and ways of
living (Coreil et al., 1985), rather than cholesterol
or any other risk factor that is needed for under-
standing health and disease.
Geoffrey Rose (1985), in a discussion of
problems and limitations of the risk factor model
of research on population health, unintentionally,
but powerfully, illustrated the potential problems
that would arise from action connecting choles-
terol and heart disease in a simple causal model.
He used findings from the Framingham Study, a
comprehensive longitudinal investigation of
health outcomes in a US population sample, to
juxtapose the serum cholesterol curve of the
persons in the cohort study who developed CHD
over the curve of those who did not develop heart
disease. The curves showed a comparable range
and peak in the cholesterol values of those who
did and did not develop disease, rendering the
powerful relative risks produced from the data
unimpressive.
Rose felt that research focused on individuals
constrains knowledge about the causes of
diseases. With roots in clinical practice, the
purpose of both case control and cohort epi-
demiological studies, he noted, is to discover how
sick and healthy individuals differ. He pointed out
that the use of relative risk as the measure of
aetiological force in this paradigm has almost
excluded the use of any other approach in
epidemiology, even though relative risk 'is no
measure at all of aetiological outcome or of public
health importance' (p. 32). Rose reminded us
22 K. Dean
that, while considerable information is available
about the characteristics of individuals suscep-
tible to various diseases, 'most non-infectious
diseases are still of largely unknown aetiology'.
These considerations led Rose to the conclu-
sion that research should focus on populations
rather than individuals—ecological comparisons
in contrast to relative risk approaches. Using
CHD as an example, he pointed out that even with
screening to detect early disease, there is weak
ability to predict the future for individual patients.
His suggested solution, looking at population
averages and attempting to shift the curve of
whole populations on specific risk factors is,
however, the approach that was found to be
dangerous in the overview of research findings on
the U-shaped curve with regard to cholesterol
related mortality. Rose's recommendation, aimed
at preventing cardiovascular disease in popula-
tions instead of detecting disease at an early stage
in individuals, was still centred in a risk factor
cause and effect model of disease.
Both relative risk approaches to specific aetiol-
ogy and ecological studies examining group
differences on specific phenomena look away
from the differential impact of causal influences in
the presence of other causes and over periods of
time. Rose's synthesis of findings pointing to the
limitations of the relative risk paradigm in a sense
replicate those of the research in Holland
described above, but without the theoretical force
of the lifestyle study for suggesting contributing
causes.
THEORY, THE NEGLECTED COMPONENT
The evidence provided by the cholesterol studies,
whether they stem from randomized trials, case
control, cohort or ecological studies, centre on
statistical effects and predictions. Detecting a
statistical effect of a factor that remains after
other influences are removed by randomization
or statistical 'control' does not provide the infor-
mation needed for understanding the statistical
connection between the two variables. Relation-
ships between variables that have been tested and
replicated may be true, but remain so unspecified
that they do not provide meaningful knowledge
(Merton, 1949). It is necessary to learn the
conditions under which statistical correlations
hold, are modified or disappear to understand
causal processes determining health in the real
world. A theoretical logic for transferring statisti-
cal correlations into causal processes and for
investigating inconsistencies and contradictions
in the findings, such as that developed by Rosen-
berg (1968), is absent in the risk factor model of
disease. This problem is a major barrier for
understanding the meaning of statistical correla-
tions between specific factors and disease.
The cholesterol example is illustrative because
results available in the research literature
contained theoretical insight suggesting alterna-
tive directions long before the costly and perhaps
dangerous interventions led those responsible for
them to conclude that the policy needed to be
changed. One wonders at the power given statisti-
cal predictions in this body of work, as if the
statistical connections between two factors had
real meaning for the health outcomes of individ-
ual people.
Even without an awareness of research findings
such as those from the investigation in Holland
and those presented by Rose, or without stopping
to think about the reality constraints of statistical
correlations, one wonders why cholesterol was
given such unique power as a cause of CHD.
Should not cholesterol be regarded as a biological
marker expressing a state of physicochemical
processes in the individual at a given time, an
outcome or at least an intermediate outcome,
rather than a cause? What theoretical logic was
presented and tested that could grant cholesterol
the causal status justifying intervention affecting
the health of general populations and the use of
huge amounts of limited public health resources?
The purpose of scientific theory and methods is
to expand knowledge about causal processes. All
research designs and statistical models have
limitations for testing theories. The details of how
scientific methods fall short fill numerous texts on
research methodology. Research granting a
methodological approach a primacy that hides its
limitations, and without theoretical frameworks
to illuminate the limitations, should never be the
basis of health policy and action. The over-
whelming consensus is that methods appropriate
for given research questions (fallible as they are)
should be used to test theories (Stolzenberg and
Land, 1983). This means that both action and
basic research in pursuit of knowledge to inform
health policy would always be an interplay
between expanding theory and improving
methods (Dean, 1993).
Using theory to guide policy 23
CHANGING VIEWS ABOUT THE ROLE OF
THEORY
The meaning and importance of theory have
changed periodically throughout the history of
science. Long traditions of separating theory from
empirical observations had serious consequences
on scientific research, including that conducted in
population based sciences (Bernert, 1983). The
weaknesses of atheoretical empirical work are
now widely recognized (Faust, 1984; Maclure,
1985; Dean, 1993). Suppe (1977b) discussing
major contemporary views on theory building,
reached the conclusion that only in primitive
science, where the development of theories is
neglected, does the verification of empirical pre-
dictions maintain a central position. A major
function of theory is to organize and integrate
information for discovery (Shapere, 1977).
The above observations do not mean that
developing and using theory guarantees 'truth' or
even necessarily the advancement of knowledge.
Theory, an aid to human cognitive limitations,
helps to organize information in the body of
knowledge for further inquiry (Faust, 1984).
When not tested and modified appropriately,
theory can become transformed from a scientific
thesis about reality relationships into a rationale
for a belief system.
Competing theories are also important for
gaining new knowledge. The interpretation of
observations considered true within the frame-
work of a particular theory will be only partial
truths, or even false, in the context of another
theory. Gillett (1994) illustrates this with the
example of the corpuscular theory of light being
considered false when wave theory became
dominant, but regaining importance with quan-
tum theory. The revived importance of corpuscu-
lar theory was not, however, considered to
discredit wave theory. Both became part of a new
understanding of particles and the development
of a new theory of light. This example is useful
because it illustrates that different theories, some-
times opposing or contradictory and sometimes
complimentary, as well as the modification of
theory, are core aspects of advancing scientific
knowledge. Referring back to the cholesterol
example, the point is that empirical observations
are always partial representations conveying
certain truths and concealing others.
USING THEORY IN HEALTH PROMOTION
RESEARCH
A great deal of health promotion research has
been limited to the health related behaviour of
individuals. When some form of theoretical
framework is used in research on behaviour and
health, it is generally based on theories developed
by social psychologists. These theories are used
quite loosely and rarely modified or rejected
when very little of the 'variance' in the behavioural
practice is explained. It has been argued that these
models are more 'idea-sets' than the type of
theories usually developed to provide scientific
explanation (Research Unit in Health and Beha-
vioural Changes (RUHBC), 1989). Influenced
both by risk factor epidemiology and social
psychology, this work provided the knowledge
base for health education. In recent years, more
studies have focused on social environments and
structural determinants of health (Milio, 1986).
Starting slowly as a critique of traditional health
education, the shift gained force with the evolu-
tion of the field of health promotion.
The term 'health promotion', generally traced
to the Lalonde Report (1974), remained for some
time a vaguely conceived umbrella term very
often used in relation to quite traditional research
and programmes (McQueen, 1994). It was after
the WHO (1984), Health Promotion: A Discus-
sion Document on the Concept of Principles, and
the Ottawa Charter (WHO, 1986), launched 2
years later at the first International Conference on
Health Promotion, that the process of estab-
lishing research, education and publication struc-
tures moved rapidly forward.
Much has been done to shift the health pro-
motion research agenda. Still, a great deal of the
research conducted in the field continues to rely
on the risk factor tradition, methodological
approaches and the social psychological thinking
from which the field emerged. New theoretical
thinking is present in the field conceptually and
implicitly, but making theory explicit and a strong
force guiding research and explanation has not
yet occurred. While health promotion cannot lay
claim to well-developed theories of its own, even
in its infancy, this young field developed a strong
conceptual base that provides a framework for
theory development. Theories embedded in the
concepts and principles of health promotion
(WHO, 1984) and the Ottawa Charter (WHO,
1986) can guide the various types of research on
institutions, populations and individuals that are
24 K. Dean
needed to provide knowledge for health pro-
moting action.
The health field concept (Lalonde, 1974),
modified on the basis of the Ottawa Charter (Rae-
burn and Rootman, 1989), summarizes domains
for research and action. Other models and con-
ceptual frameworks have been put forward as
well. The characteristics that best describe the
types of research needed to provide the know-
ledge for health promoting action are contextual-
ism and dynamism (Dean et al., 1993). The
emphasis on environments, communities and
policy opens the way for theories of multilevel
influences that can expand knowledge about the
causal processes that people are exposed to in the
contexts of daily living.
Bringing together theory and knowledge from
diverse sources is a central idea in Shapere's
(1977) concept of theoretical domains. In his
thinking, theory and empirical research are
mutually interdependent. The development of a
theoretical domain in research to promote health
would entail discovering causal processes by
exploring and then fitting together moderating
influences instead of trying to reduce complexity
to a simple connection between two factors. A
statistical relationship between two variables can
only be a starting point for understanding the
context in which the two variables relate to each
other, and for identifying the conditions that
modify the relationship.
Developing the context in a theoretical domain
examining how lifestyles affect health would
involve fitting together findings from different
types of studies, as well as integrating different
levels of influence into investigations of lifestyle
and health. The contexts in which people live their
daily lives involve social conditions and oppor-
tunities for learning and practising life skills.
Social norms and formal legal statutes, as well as
the resources that shape both personal skills and
supportive environments, make up the domain in
which lifestyles are formed and maintained. It is
necessary to study the formal and informal rules
governing the context in a research domain
(Gillett, 1994).
Specific health related behaviours would have
limited meaning or relevance in a lifestyle
research domain. Theories would postulate how
ways of living protect or damage health. Trans-
lated into empirical research, patterns of behav-
iour (their separate, joint and interactive effects
on health) in the context of daily life, would be
studied with complementary types of research
methodologies. Cholesterol levels might be
studied to obtain knowledge about the causal pro-
cesses leading some people with high cholesterol
to develop heart disease while others remain
healthy. This would involve identifying how inter-
vening influences such as general behavioural
patterns, stress, supportive environments and
available resources affect the health of people
with family histories of high cholesterol and/or
heart disease.
Thus in a lifestyle framework, meaningful
research would seek to understand the influence
of living situations, and of cultural and subgroup
learning and expectations on behavioural prac-
tices. Another important area of inquiry would be
the progressive nature of health damaging habits
for some people. 'Addiction' research needs to
study environmental demands and the moder-
ating effects of personal skills and of support
available in social networks.
Time, generally neglected in population health
research, is another major force determining the
contextual nature of causation. Lifestyle theory,
developing the interplay of environmental con-
text and behavioural patterns would need to be
tested with methods capable of disentangling the
effects of age, period and cohort aspects of causal
processes (Riley, 1993). The contribution of any
specific influence is not necessarily stable over
time, and there may be social group differences in
the relative stability of influences. Take, for
example, the impact of diet at different periods of
life. A deficiency in childhood of nutrients needed
for normal development will have far more
serious consequences for health, functioning and
longevity than the same deficiency in late life
(Barker, 1988).
For other influences, the impact at different
periods of the life course may reverse. The
physiological caustic effects of a substance such
as alcohol may be far less for young active people
with rapid metabolism than for old people who
are less active and whose metabolic processes
have altered character. At the same time, alcohol
presents other dangers to young people relative to
older people. The role of peer pressure is
especially strong in youth, and may contribute to
overuse or dangerous use of alcohol or other
mood altering substances among young people
relative to mature adults. Accidents, especially
those involving alcohol and/or speeding in motor
vehicles, are a major cause of death and disability
for young males. Variations in how influences
affect outcomes need to be understood for effec-
Using theory to guide policy 25
tive health promotion. It is not possible to infuse
the time dimension into studies of causal
processes without theory to organize existing
knowledge for the development of plausible
explanations.
MOVING FORWARD
The field of health promotion has already taken
great strides in shifting the research agenda to
subjects more in tune with real community health
needs. It is now important to assure that the some-
times heavily rhetorical discussions on the subject
of health promotion do not impede progress. In
order to continue and build on the contributions
already made to public health, the field of health
promotion 'must now move beyond the rhetoric
of its developmental years' (McQueen, 1994).
'Action' research and other forms of research to
inform health policy are not new. They have
always existed in the field of public health.
Throughout an extended period in this century,
research became dominated by the biological
experimental paradigm, and indeed action
research in that tradition did form the basis of
community health policy. The policies focused on
shifting the cholesterol curves of general popula-
tions resulted from action research accepted in
the policy making process.
Changing the focus of the health debate and the
renewed emphasis on the environmental deter-
minants of health are important contributions of
the field. Community health programmes have,
however, received high priority in the past only to
be dismantled, and even within thefieldof health
promotion research and programmes have not
always risen above the individualized risk factor
approaches (Green, 1994).
Research simply shifting the focus from 'risk
factors' to 'risk conditions' is not sufficient for
improving knowledge. The risk factor model itself
has built in limitations. Like so many dysfunc-
tional dichotomies that are being challenged in
contemporary science, arguments about the
micro-macro determinants of health, and their
counterpart, the nature-nurture division, are
both reductionistic approaches (Lewontin et al,
1984; Lewontin, 1991). Both fail to acknowledge
the multidimensional and interactive nature of the
causal processes that shape health and func-
tioning.
CONCLUSION
Theory for guiding health promotion research
needs to build in the complexity involved in real
causal processes that shape health over time.
Relationships among influences can then be
explored with the range of research designs,
qualitative as well as quantitative, for studying
research issues, and with analytic approaches that
are capable of studying direct, indirect and
moderating relationships.
'The 1990s represent the watershed for health
promotion. Now health promotion must show its
utility to the skeptics, as well as those who have
had their consciousness raised by its rhetoric'
(McQueen, 1994, p. 336). Action that is not based
on valid knowledge will discredit the field. Theory
based in the concepts and principles of health
promotion can guide research to new knowledge
about health and health related quality of life.
Addressfor correspondence
Kathryn Dean
Population Health Studies
Ribegade 6 st.tv
DK-2100 Copenhagen
Denmark
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Using theory to guide health promotion policy

  • 1. HEALTH PROMOTION INTERNATIONAL C Oxford University Press 1996 Vol. 11, No. I Printed in Great Britain Using theory to guide policy relevant health promotion research KATHRYN DEAN Research and Training Consultant, Population Health Studies, Copenhagen, Denmark SUMMARY The concept of health promotion has evolved into a strategy for improving health that goes beyond indi- vidual behaviour to include the physical, social and economic environments in which health and behaviour are shaped. The core of the strategy is to stimulate action against the root causes of ill health in communities. A prerequisite for effective health promotion action is valid knowledge about how forces protect or damage health in daily life. Developing and using theory to guide the collection, analysis and evaluation of empirical evidence is a neglected aspect of obtaining the knowledge needed for promoting health. Population interventions to reduce cholesterol provide an example that illustrates the consequences of basing community health policy and programmes on findings from empirical research without developing a logically sound theoretical basis for identifying inconsistencies and contradictions in the findings. The use of theory to guide research to support health promotion action is discussed. Key words: health promotion; informed action; theory INTRODUCTION The field of health promotion is infusing new thinking into population health research and the policy making process for health. Originating in a critique of traditional health education (Green and Raeburn, 1988), the concept of health promotion has evolved into a strategy for improving health that goes beyond individual behaviour to include the physical, social and economic environments in which both health and behaviour are shaped (World Health Organiza- tion (WHO), 1984; Kickbusch, 1986). The core of the strategy is to stimulate action on the root causes of ill health in communities. What then, it might be asked, has theory, a core element of 'basic' research, to do with health promotion? Since health promotion research is supposed to support action, it is, in the minds of many, limited to 'action' research. When focused on community health, action research involves attempts to change policies, environments, professional services or the personal behaviour of individuals in order to improve health. Frequently it involves implementing and assessing the effects of interventions. Clearly, action and/or action research based on faulty 'basic research', will lead to uncertain problem identification or incorrect assumptions that misdirect policy (Orosz, 1994). A prerequisite for action that addresses the root causes of poor health in communities is valid knowledge about the forces that protect and damage health in daily life. Characterized as a 'knowledge challenge' (Kickbusch and Dean, 1992; Labonte, 1994), a health promotion strategy involves assuring a valid knowledge base to inform the action. Without entering the deep and muddy waters of debates about the differ- ences between basic and applied research, this paper asserts that theory is essential to valid and meaningful research, however conceptualized. Since the central concerns of theory building have 19 byguestonOctober17,2013http://heapro.oxfordjournals.org/DownloadedfrombyguestonOctober17,2013http://heapro.oxfordjournals.org/DownloadedfrombyguestonOctober17,2013http://heapro.oxfordjournals.org/DownloadedfrombyguestonOctober17,2013http://heapro.oxfordjournals.org/DownloadedfrombyguestonOctober17,2013http://heapro.oxfordjournals.org/DownloadedfrombyguestonOctober17,2013http://heapro.oxfordjournals.org/DownloadedfrombyguestonOctober17,2013http://heapro.oxfordjournals.org/DownloadedfrombyguestonOctober17,2013http://heapro.oxfordjournals.org/Downloadedfrom
  • 2. 20 K. Dean to do with explaining phenomena in both the most comprehensive and the most precise way possible (Selltiz et al., 1976; Suppe, 1977a), it might be concluded that theory is the most fundamental prerequisite of a policy science, and that the absence of theory and effective theory building are serious weaknesses of much of the existing research available for the policy making process for improving the health of populations. In order to explore these issues, a detailed example will be used to illustrate the conse- quences of basing community health policy and programmes on findings from empirical research without developing a logically sound theoretical basis for identifying inconsistencies and contra- dictions in the findings. Based on this example, the use of theory to guide basic and applied research to support health promotion action will be discussed. COMMUNITY INTERVENTIONS TO REDUCE CHOLESTEROL In the 1980s, major health policy initiatives directed toward reducing cardiovascular disease involved population interventions to reduce cholesterol blood levels. A well-documented higher risk of death from coronary heart disease among persons with elevated levels of blood cholesterol formed the basis of the policies focused on activating people to lower blood cholesterol. The goal was to contribute to improv- ing public health by shifting the distribution of blood cholesterol concentrations for entire populations (Consensus Conference, 1985; Study Group, 1987). Extensive public funds were used in many countries on interventions and health education focused on getting people to change their diets, obtain blood cholesterol measurements and even use drugs to reduce cholesterol levels. After extremely costly popula- tion based programmes had been in place for some time, it became known that not only high, but also low levels of blood cholesterol are asso- ciated with disease and death—that there is a 'U-shaped curve' in the relationship between blood cholesterol and mortality. Muldoon and his colleagues (1990), conducted a meta-analysis, a quantitative review of the evidence, on findings from primary prevention trials of the type that had been used to justify this community health policy. The purpose of the meta-analysis was to determine the effects of lowering blood cholesterol on total and case specific mortality. In order to enhance the comparability of the findings and reduce statis- tical effects from combining data from different studies, rigorous criteria were developed for accepting experimental trials into the study. Each project had to have: (i) been a randomized clinical prevention trial of serum cholesterol reduction; (ii) included a treatment group that received instructions for a diet and/or drugs to reduce cholesterol and a control group; (iii) resulted in the lowering of cholesterol in the intervention group relative to the control group; and (iv) reported both total and cause specific mortality in the results of the trial. Six randomized trials total- ling 24 847 male participants could be accepted on the basis of these criteria. The results of the meta-analysis showed that while each trial reported evidence of success in lowering blood cholesterol levels, the evidence of any reduced coronary heart disease (CHD) mortality was weak, and overall survival among men who underwent lipid lowering treatment was not improved. Furthermore, mortality not related to illness was nearly twice as high in the inter- vention groups as in the control groups, a finding consistent for all six studies whether or not the cholesterol lowering treatment was carried out with drugs or dietary education. These highly consistent and disturbing results were reported about the same time that other investigators were uncovering similar findings (Holme, 1990; Strandberg etal., 1991). The evidence from studies of cholesterol reduction was presented for evaluation in a US National Heart, Lung and Blood Institute expert conference in 1990 (Conference Report, 1992). The experts reviewed and discussed existing data on the left-hand limb (association between low cholesterol and mortality) of the U-shaped curve, the term that is used to represent the greater mortality found among persons with both high and low blood cholesterol levels. Presenting results of a statistical overview of available cohort studies with findings involving 68 406 deaths, a study of unprecedented size, it was documented that the higher mortality rates associated with low blood cholesterol held both across studies and for a diverse range of causes. Especially high excess death rates from digestive system conditions and from less common diverse causes were found, but also cancer, respiratory system and injury deaths were associated with low cholesterol. The findings of higher risk of death from causes
  • 3. other than CHD held for both men and women. At the same time, however, the second major finding of the conference report was the 'surpris- ing observation' that for women 'high blood cholesterol is not associated with all-cause mor- tality nor even with cardiovascular mortality' (Hulley et al., 1992). Three major conclusions were drawn from the findings presented in the expert conference: • the association between low blood cholesterol and noncardiovascular deaths indicated the need to review policies aimed at shifting entire population distributions of blood cholesterol to lower levels; • the lack of association between high blood cholesterol and cardiovascular deaths in women indicated that, except for those with coronary disease or other high risk of CHD death, 'it no longer seems wise to screen for and treat high blood cholesterol in women'; • the findings in primary prevention trials of cholesterol intervention that the increase in non-CHD mortality rates is similar to the decrease in CHD death rates indicated that, except for people who already have coronary disease, it is unwise to treat high blood choles- terol with drugs. IMPORTANCE OF KNOWING AND USING RELEVANT RESEARCH LITERATURE Actually, it turns out, as noted by Hulley and his colleagues (1992), that this 'U-shaped curve' had been reported for two decades. Moreover, Muldoon and his colleagues (1990) had noted that, although large primary prevention trials had found evidence suggesting that lowering serum cholesterol concentrations reduced the incidence of coronary events, predominantly myocardial infarction, only one had found mortality from heart disease lowered significantly after choles- terol reduction. If one examines research literature other than that from controlled clinical trials, evidence that would have foreseen these findings goes back to at least 1962 (Groen et al). In an investigation conducted in Holland, cholesterol research was placed in a lifestyle context, with the result that the findings differed considerably from simple predictive correlations between measures of cholesterol and CHD mortality. The study involved comparative analyses of behavioural Using theory to guidepolicy 21 and health variables in populations of Benedic- tine and Trappist monks living in cloistered monasteries. It was found that blood cholesterol levels were much higher in all age groups for the Benedictine monks compared to the Trappist monks. The essentially vegetarian diet of the Trappist monks is much stricter than that of the Benedictines. This is evidence that diet can affect blood cholesterol, also shown in the cholesterol intervention trials. Cardiovascular disease incidence was, however, in spite of the higher cholesterol levels of the Benedictines, the same in both monk populations, and much lower than in the general male popula- tion of comparable age in Holland. The findings show that even if blood cholesterol is a contrib- uting factor in cardiovascular disease, it is not a sufficient cause. Social and psychosocial pro- cesses, as either component causes or modifiers of disease processes, appear to be the determining influences. This study illustrates that it is research on lifestyle, understood as patterns and ways of living (Coreil et al., 1985), rather than cholesterol or any other risk factor that is needed for under- standing health and disease. Geoffrey Rose (1985), in a discussion of problems and limitations of the risk factor model of research on population health, unintentionally, but powerfully, illustrated the potential problems that would arise from action connecting choles- terol and heart disease in a simple causal model. He used findings from the Framingham Study, a comprehensive longitudinal investigation of health outcomes in a US population sample, to juxtapose the serum cholesterol curve of the persons in the cohort study who developed CHD over the curve of those who did not develop heart disease. The curves showed a comparable range and peak in the cholesterol values of those who did and did not develop disease, rendering the powerful relative risks produced from the data unimpressive. Rose felt that research focused on individuals constrains knowledge about the causes of diseases. With roots in clinical practice, the purpose of both case control and cohort epi- demiological studies, he noted, is to discover how sick and healthy individuals differ. He pointed out that the use of relative risk as the measure of aetiological force in this paradigm has almost excluded the use of any other approach in epidemiology, even though relative risk 'is no measure at all of aetiological outcome or of public health importance' (p. 32). Rose reminded us
  • 4. 22 K. Dean that, while considerable information is available about the characteristics of individuals suscep- tible to various diseases, 'most non-infectious diseases are still of largely unknown aetiology'. These considerations led Rose to the conclu- sion that research should focus on populations rather than individuals—ecological comparisons in contrast to relative risk approaches. Using CHD as an example, he pointed out that even with screening to detect early disease, there is weak ability to predict the future for individual patients. His suggested solution, looking at population averages and attempting to shift the curve of whole populations on specific risk factors is, however, the approach that was found to be dangerous in the overview of research findings on the U-shaped curve with regard to cholesterol related mortality. Rose's recommendation, aimed at preventing cardiovascular disease in popula- tions instead of detecting disease at an early stage in individuals, was still centred in a risk factor cause and effect model of disease. Both relative risk approaches to specific aetiol- ogy and ecological studies examining group differences on specific phenomena look away from the differential impact of causal influences in the presence of other causes and over periods of time. Rose's synthesis of findings pointing to the limitations of the relative risk paradigm in a sense replicate those of the research in Holland described above, but without the theoretical force of the lifestyle study for suggesting contributing causes. THEORY, THE NEGLECTED COMPONENT The evidence provided by the cholesterol studies, whether they stem from randomized trials, case control, cohort or ecological studies, centre on statistical effects and predictions. Detecting a statistical effect of a factor that remains after other influences are removed by randomization or statistical 'control' does not provide the infor- mation needed for understanding the statistical connection between the two variables. Relation- ships between variables that have been tested and replicated may be true, but remain so unspecified that they do not provide meaningful knowledge (Merton, 1949). It is necessary to learn the conditions under which statistical correlations hold, are modified or disappear to understand causal processes determining health in the real world. A theoretical logic for transferring statisti- cal correlations into causal processes and for investigating inconsistencies and contradictions in the findings, such as that developed by Rosen- berg (1968), is absent in the risk factor model of disease. This problem is a major barrier for understanding the meaning of statistical correla- tions between specific factors and disease. The cholesterol example is illustrative because results available in the research literature contained theoretical insight suggesting alterna- tive directions long before the costly and perhaps dangerous interventions led those responsible for them to conclude that the policy needed to be changed. One wonders at the power given statisti- cal predictions in this body of work, as if the statistical connections between two factors had real meaning for the health outcomes of individ- ual people. Even without an awareness of research findings such as those from the investigation in Holland and those presented by Rose, or without stopping to think about the reality constraints of statistical correlations, one wonders why cholesterol was given such unique power as a cause of CHD. Should not cholesterol be regarded as a biological marker expressing a state of physicochemical processes in the individual at a given time, an outcome or at least an intermediate outcome, rather than a cause? What theoretical logic was presented and tested that could grant cholesterol the causal status justifying intervention affecting the health of general populations and the use of huge amounts of limited public health resources? The purpose of scientific theory and methods is to expand knowledge about causal processes. All research designs and statistical models have limitations for testing theories. The details of how scientific methods fall short fill numerous texts on research methodology. Research granting a methodological approach a primacy that hides its limitations, and without theoretical frameworks to illuminate the limitations, should never be the basis of health policy and action. The over- whelming consensus is that methods appropriate for given research questions (fallible as they are) should be used to test theories (Stolzenberg and Land, 1983). This means that both action and basic research in pursuit of knowledge to inform health policy would always be an interplay between expanding theory and improving methods (Dean, 1993).
  • 5. Using theory to guide policy 23 CHANGING VIEWS ABOUT THE ROLE OF THEORY The meaning and importance of theory have changed periodically throughout the history of science. Long traditions of separating theory from empirical observations had serious consequences on scientific research, including that conducted in population based sciences (Bernert, 1983). The weaknesses of atheoretical empirical work are now widely recognized (Faust, 1984; Maclure, 1985; Dean, 1993). Suppe (1977b) discussing major contemporary views on theory building, reached the conclusion that only in primitive science, where the development of theories is neglected, does the verification of empirical pre- dictions maintain a central position. A major function of theory is to organize and integrate information for discovery (Shapere, 1977). The above observations do not mean that developing and using theory guarantees 'truth' or even necessarily the advancement of knowledge. Theory, an aid to human cognitive limitations, helps to organize information in the body of knowledge for further inquiry (Faust, 1984). When not tested and modified appropriately, theory can become transformed from a scientific thesis about reality relationships into a rationale for a belief system. Competing theories are also important for gaining new knowledge. The interpretation of observations considered true within the frame- work of a particular theory will be only partial truths, or even false, in the context of another theory. Gillett (1994) illustrates this with the example of the corpuscular theory of light being considered false when wave theory became dominant, but regaining importance with quan- tum theory. The revived importance of corpuscu- lar theory was not, however, considered to discredit wave theory. Both became part of a new understanding of particles and the development of a new theory of light. This example is useful because it illustrates that different theories, some- times opposing or contradictory and sometimes complimentary, as well as the modification of theory, are core aspects of advancing scientific knowledge. Referring back to the cholesterol example, the point is that empirical observations are always partial representations conveying certain truths and concealing others. USING THEORY IN HEALTH PROMOTION RESEARCH A great deal of health promotion research has been limited to the health related behaviour of individuals. When some form of theoretical framework is used in research on behaviour and health, it is generally based on theories developed by social psychologists. These theories are used quite loosely and rarely modified or rejected when very little of the 'variance' in the behavioural practice is explained. It has been argued that these models are more 'idea-sets' than the type of theories usually developed to provide scientific explanation (Research Unit in Health and Beha- vioural Changes (RUHBC), 1989). Influenced both by risk factor epidemiology and social psychology, this work provided the knowledge base for health education. In recent years, more studies have focused on social environments and structural determinants of health (Milio, 1986). Starting slowly as a critique of traditional health education, the shift gained force with the evolu- tion of the field of health promotion. The term 'health promotion', generally traced to the Lalonde Report (1974), remained for some time a vaguely conceived umbrella term very often used in relation to quite traditional research and programmes (McQueen, 1994). It was after the WHO (1984), Health Promotion: A Discus- sion Document on the Concept of Principles, and the Ottawa Charter (WHO, 1986), launched 2 years later at the first International Conference on Health Promotion, that the process of estab- lishing research, education and publication struc- tures moved rapidly forward. Much has been done to shift the health pro- motion research agenda. Still, a great deal of the research conducted in the field continues to rely on the risk factor tradition, methodological approaches and the social psychological thinking from which the field emerged. New theoretical thinking is present in the field conceptually and implicitly, but making theory explicit and a strong force guiding research and explanation has not yet occurred. While health promotion cannot lay claim to well-developed theories of its own, even in its infancy, this young field developed a strong conceptual base that provides a framework for theory development. Theories embedded in the concepts and principles of health promotion (WHO, 1984) and the Ottawa Charter (WHO, 1986) can guide the various types of research on institutions, populations and individuals that are
  • 6. 24 K. Dean needed to provide knowledge for health pro- moting action. The health field concept (Lalonde, 1974), modified on the basis of the Ottawa Charter (Rae- burn and Rootman, 1989), summarizes domains for research and action. Other models and con- ceptual frameworks have been put forward as well. The characteristics that best describe the types of research needed to provide the know- ledge for health promoting action are contextual- ism and dynamism (Dean et al., 1993). The emphasis on environments, communities and policy opens the way for theories of multilevel influences that can expand knowledge about the causal processes that people are exposed to in the contexts of daily living. Bringing together theory and knowledge from diverse sources is a central idea in Shapere's (1977) concept of theoretical domains. In his thinking, theory and empirical research are mutually interdependent. The development of a theoretical domain in research to promote health would entail discovering causal processes by exploring and then fitting together moderating influences instead of trying to reduce complexity to a simple connection between two factors. A statistical relationship between two variables can only be a starting point for understanding the context in which the two variables relate to each other, and for identifying the conditions that modify the relationship. Developing the context in a theoretical domain examining how lifestyles affect health would involve fitting together findings from different types of studies, as well as integrating different levels of influence into investigations of lifestyle and health. The contexts in which people live their daily lives involve social conditions and oppor- tunities for learning and practising life skills. Social norms and formal legal statutes, as well as the resources that shape both personal skills and supportive environments, make up the domain in which lifestyles are formed and maintained. It is necessary to study the formal and informal rules governing the context in a research domain (Gillett, 1994). Specific health related behaviours would have limited meaning or relevance in a lifestyle research domain. Theories would postulate how ways of living protect or damage health. Trans- lated into empirical research, patterns of behav- iour (their separate, joint and interactive effects on health) in the context of daily life, would be studied with complementary types of research methodologies. Cholesterol levels might be studied to obtain knowledge about the causal pro- cesses leading some people with high cholesterol to develop heart disease while others remain healthy. This would involve identifying how inter- vening influences such as general behavioural patterns, stress, supportive environments and available resources affect the health of people with family histories of high cholesterol and/or heart disease. Thus in a lifestyle framework, meaningful research would seek to understand the influence of living situations, and of cultural and subgroup learning and expectations on behavioural prac- tices. Another important area of inquiry would be the progressive nature of health damaging habits for some people. 'Addiction' research needs to study environmental demands and the moder- ating effects of personal skills and of support available in social networks. Time, generally neglected in population health research, is another major force determining the contextual nature of causation. Lifestyle theory, developing the interplay of environmental con- text and behavioural patterns would need to be tested with methods capable of disentangling the effects of age, period and cohort aspects of causal processes (Riley, 1993). The contribution of any specific influence is not necessarily stable over time, and there may be social group differences in the relative stability of influences. Take, for example, the impact of diet at different periods of life. A deficiency in childhood of nutrients needed for normal development will have far more serious consequences for health, functioning and longevity than the same deficiency in late life (Barker, 1988). For other influences, the impact at different periods of the life course may reverse. The physiological caustic effects of a substance such as alcohol may be far less for young active people with rapid metabolism than for old people who are less active and whose metabolic processes have altered character. At the same time, alcohol presents other dangers to young people relative to older people. The role of peer pressure is especially strong in youth, and may contribute to overuse or dangerous use of alcohol or other mood altering substances among young people relative to mature adults. Accidents, especially those involving alcohol and/or speeding in motor vehicles, are a major cause of death and disability for young males. Variations in how influences affect outcomes need to be understood for effec-
  • 7. Using theory to guide policy 25 tive health promotion. It is not possible to infuse the time dimension into studies of causal processes without theory to organize existing knowledge for the development of plausible explanations. MOVING FORWARD The field of health promotion has already taken great strides in shifting the research agenda to subjects more in tune with real community health needs. It is now important to assure that the some- times heavily rhetorical discussions on the subject of health promotion do not impede progress. In order to continue and build on the contributions already made to public health, the field of health promotion 'must now move beyond the rhetoric of its developmental years' (McQueen, 1994). 'Action' research and other forms of research to inform health policy are not new. They have always existed in the field of public health. Throughout an extended period in this century, research became dominated by the biological experimental paradigm, and indeed action research in that tradition did form the basis of community health policy. The policies focused on shifting the cholesterol curves of general popula- tions resulted from action research accepted in the policy making process. Changing the focus of the health debate and the renewed emphasis on the environmental deter- minants of health are important contributions of the field. Community health programmes have, however, received high priority in the past only to be dismantled, and even within thefieldof health promotion research and programmes have not always risen above the individualized risk factor approaches (Green, 1994). Research simply shifting the focus from 'risk factors' to 'risk conditions' is not sufficient for improving knowledge. The risk factor model itself has built in limitations. Like so many dysfunc- tional dichotomies that are being challenged in contemporary science, arguments about the micro-macro determinants of health, and their counterpart, the nature-nurture division, are both reductionistic approaches (Lewontin et al, 1984; Lewontin, 1991). Both fail to acknowledge the multidimensional and interactive nature of the causal processes that shape health and func- tioning. CONCLUSION Theory for guiding health promotion research needs to build in the complexity involved in real causal processes that shape health over time. Relationships among influences can then be explored with the range of research designs, qualitative as well as quantitative, for studying research issues, and with analytic approaches that are capable of studying direct, indirect and moderating relationships. 'The 1990s represent the watershed for health promotion. Now health promotion must show its utility to the skeptics, as well as those who have had their consciousness raised by its rhetoric' (McQueen, 1994, p. 336). Action that is not based on valid knowledge will discredit the field. Theory based in the concepts and principles of health promotion can guide research to new knowledge about health and health related quality of life. Addressfor correspondence Kathryn Dean Population Health Studies Ribegade 6 st.tv DK-2100 Copenhagen Denmark REFERENCES Barker, D.J. (1988) Childhood causes of adult diseases, Archives ofDisease in Childhood, 63,867-869. Bernert, C. (1983) The career of causal analysis in American sociology. The British Journal ofSociology, 34,230-254. Conference Report on low cholesterol: mortality associations. (1992) Circulation, 86,1046-1060. Consensus Conference (1985) Lowering cholesterol to prevent heart disease. Journal of the American Medical Association, 253, 2080-2086. Coreil, J., Levin, G. and Jaco, G. (1985) Lifestyle—an emergent concept in the sociomedical sciences. Culture Medical Psychiatry, 9,423-437. Dean, K. (1993) Integrating theory and methods in population health research. In Dean, K. (ed.) Population Health Research: Linking Theory and Methods. Sage, London. Dean, K., Kreiner, S. and McQueen, D. (1993) Researching population health: new directions. In Dean, K. (ed.) Popula- tion Health Research: Linking Theory and Methods. Sage, London. Faust, D. (1984) The Limits ofScientific Reasoning. Univer- sity of Minnesota Press, Minneapolis, MN. Gillett, G. (1994) Beyond the orthodox: heresy in medicine and social science, Social Science and Medicine, 39,1125— 1131. Green, L. (1994) Canadian health promotion: an outsider's view from the inside. In Pederson, A., O'Neill, M. and Rootman, I. (eds) Health Promotion in Canada: Provincial, National and International Perspectives. W. B. Saunders, Toronto.
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