Diabetes Care 24:117-123, 2001
© 2001 by the American Diabetes Association, Inc.
Reviews/Commentaries/Position Statements Review |
Behavioral Science Research in Diabetes
Lifestyle changes related to obesity, eating behavior, and physical activity
Rena R. Wing, PHD,
Michael G. Goldstein, MD,
Kelly J. Acton, MD, MPH, FACP,
Leann L. Birch, PHD,
John M. Jakicic, PHD,
James F. Sallis, Jr., PHD,
Delia Smith-West, PHD,
Robert W. Jeffery, PHD and
Richard S. Surwit, PHD
From Miriam Hospital (R.R.W., J.M.J.), Brown University, and the
Department of Psychiatry and Human Behavior (R.R.W.), Brown Medical School,
Providence, Rhode Island; the Pharmaceuticals Division (M.G.G.), Bayer
Corporation, West Haven, Connecticut; the Indian Health Service Diabetes
Program (K.J.A.), Albuquerque, New Mexico; the Department of Human Development
and Family (L.L.B.), Pennsylvania State University, State College,
Pennsylvania; the Department of Psychology (J.F.S.), San Diego State
University, San Diego, California; the Department of Medicine, Division of
Preventive Medicine (D.S.-W.), University of Alabama, Birmingham, Alabama; the
Division of Epidemiology (R.W.J.), School of Public Health, University of
Minnesota, Minneapolis, Minnesota; and the Department of Psychiatry and
Behavioral Sciences (R.S.S.), Duke University Medical Center, Durham, North
Carolina.
Address correspondence and reprint requests to Rena R. Wing, PhD, Director,
Weight Control and Diabetes Research Center, Brown University/Miriam Hospital,
164 Summit Ave., Providence, RI 02906. E-mail:
rwing{at}lifespan.org
.
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ABSTRACT
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Lifestyle factors related to obesity, eating behavior, and physical
activity play a major role in the prevention and treatment of type 2 diabetes.
In recent years, there has been progress in the development of behavioral
strategies to modify these lifestyle behaviors. Further research, however, is
clearly needed, because the rates of obesity in our country are escalating,
and changing behavior for the long term has proven to be very difficult. This
review article, which grew out of a National Institute of Diabetes and
Digestive and Kidney Diseases conference on behavioral science research in
diabetes, identifies four key topics related to obesity and physical activity
that should be given high priority in future research efforts: 1)
environmental factors related to obesity, eating, and physical activity;
2) adoption and maintenance of healthful eating, physical activity,
and weight; 3) etiology of eating and physical activity; and
4) multiple behavior changes. This review article discusses the
significance of each of these four topics, briefly reviews prior research in
each area, identifies barriers to progress, and makes specific research
recommendations.
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INTRODUCTION
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In November 1999, the National Institute of Diabetes and Digestive and
Kidney Diseases (NIDDK) conducted a conference on behavioral science research
in diabetes. One of the conclusions of this conference was that further
research is needed on lifestyle changes related to obesity and physical
activity, because these factors play such a major role in the prevention and
treatment of diabetes. The purpose of this review article is to identify key
research topics related to lifestyle changes and briefly discuss the
significance of each topic, key research to date, and barriers to progress,
and then to make specific research recommendations on the topic. Future issues
of Diabetes Care will include articles on other important areas of
behavioral science research in diabetes that were presented at the NIDDK
conference, including psychological and behavioral disorders (e.g.,
depression) and broader health system approaches to behavior change.
Type 2 diabetes is increasing at an alarming rate. There are currently 16
million Americans with diabetes, but it is projected that within 10 years,
there will be 23 million Americans with this disease. The increase in
prevalence is associated with the aging of the population, the dramatic rise
in the prevalence of obesity, and a more sedentary lifestyle.
Type 2 diabetes disproportionately affects minority populations, including
African-Americans, Hispanics, Native Americans and Alaska Natives,
Asian-Americans, and Pacific Islanders. Risk factors for diabetes that are
specific to these populations include genetic, behavioral, and lifestyle
factors (1). In the past, type
2 diabetes occurred primarily in individuals >40 years of age. However, the
increasing prevalence of childhood obesity has led to a marked increase in
type 2 diabetes in adolescents and young adults
(2).
A large number of epidemiological studies show that obesity and a sedentary
lifestyle are independently related to the chances of developing diabetes.
Data from the Nurses' Health Study suggest that the lowest risk of diabetes
occurs in individuals who have a BMI <21, with increasing prevalence seen
as obesity levels increase
(3,4).
Similarly, there is a dose-response relationship between physical activity and
risk of diabetes
(5,6),
and equivalent energy expenditure from walking and vigorous activity appears
to confer comparable benefits with respect to reduction in risk of diabetes
(7).
In addition to epidemiological data, several intervention studies have
suggested that weight loss and increased physical activity may help prevent or
delay the development of type 2 diabetes in those at high risk for this
disease
(8,9).
Given these data, the National Institutes of Health has launched a major
multicenter clinical trialthe Diabetes Prevention Programto
determine whether lifestyle or pharmacological intervention (namely metformin)
is effective in preventing conversion from impaired glucose tolerance to type
2 diabetes (10).
Similarly, there are a number of studies indicating that weight loss and
exercise may help in the treatment of diabetes. Weight loss and exercise have
both been shown to decrease insulin resistance, a major physiological defect
related to the development of diabetes, and to improve glycemic control
(11,12).
These interventions also ameliorate hypertension and lipid abnormalities and
thus may contribute to reduction in risk of coronary heart disease (CHD) in
individuals with type 2 diabetes
(12).
Given that behaviors (namely diet and physical activity) are among the
strongest risk factors for type 2 diabetes
(1) and a key aspect of its
treatment, it is important that behavioral research focus on how best to
change these behaviors. Four key areas have been identified for future
research related to lifestyle modification.
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ENVIRONMENTAL FACTORS RELATED TO OBESITY, OVEREATING, AND PHYSICAL
INACTIVITY
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Why is this topic significant?
As noted above, differences in lifestyle appear to be related to the
differential rates of diabetes and obesity across cultures and within our own
culture over time (13). These
differences in behavior may, in turn, reflect differences in the
macroenvironment. Evidence indicating the importance of the environment is
seen, for example, in studies comparing Pima Indians, who live in rural Mexico
and follow a traditional Pima lifestyle, with Pima Indians living in Arizona,
who consume a Westernized diet and are more sedentary
(14). Despite the apparent
similarity in genetic background of these two Pima communities, the Mexican
Pimas have markedly lower rates of obesity and diabetes than the Arizona
Pimas. Many other examples of the negative effects of Westernization on eating
and exercise, and subsequent risk of obesity and diabetes, are available
(15).
Likewise, environmental changes in the U.S. may be leading to the
increasing prevalence of obesity
(16). It has been suggested
that Americans live in an environment rendered unhealthful by their easy
access to energy-dense foods and an increasing number of devices (e.g.,
television remote controls) that reduce their energy expenditure. Modifying
this environment through population-wide changes in eating and physical
activity may help prevent obesity.
Currently, most interventions for obesity are conducted at the level of
individual patients. Overweight individuals are encouraged to join weight loss
programs. Given the epidemic level of obesity in our country, such approaches
to the problem may not be the most cost-effective
(17). A more global public
health approach may be needed.
Environments affect the entire population exposed to them. By affecting
policies of companies, government agencies, and other organizations whose
decisions influence many people, it may be possible to change the unhealthful
environment and thereby change obesity at a population level. In addition, the
fact that the current environment is not conducive to healthful eating and
activity may explain the poor maintenance seen in most physical activity and
nutrition programs. Such educational programs and individual-level treatments
will have limited effectiveness when the environment makes it hard to follow
the recommendationsi.e., it is hard to follow a healthful diet if
grocery stores do not make healthful foods abundantly and consistently
available at reasonable prices. Differences in access to healthful foods and
opportunities for physical activity may be one of the factors related to the
prevalence of obesity in individuals of lower socioeconomic status
(16,18).
Thus, an important new direction for behavioral research is to study ways to
change the macroenvironment and thereby change eating behavior and physical
activity.
Prior research
Correlational data have suggested that environmental factors influence
physical activity and eating. For example, Cheadle et al.
(18) found strong correlations
between fat intake and the percent of local grocery store shelf space devoted
to low-fat versus regular milk and meat. Similarly, both the amount of
exercise equipment in the home
(19) and the density of
physical activity facilities in the neighboring community
(20) have been associated with
adult physical activity levels. The physical activity level of children has
been shown to be related to characteristics of their neighborhood environments
(21,22).
There have also been small-scale intervention studies suggesting that
changing the price or availability of foods in cafeterias or vending machines
may influence whether people purchase these items
(23,24).
Environmental manipulations, including signs to promote the use of stairs
rather than elevators (25),
have also been effective in changing physical activity patterns. A recent
study by Andersen et al. (26)
suggests that there may be important differences between ethnic groups in the
impact of such environmental manipulations. Signs advocating the use of stairs
for cardiovascular health or for weight control increased Caucasians' but not
African-Americans' use of stairs. Of particular note are the studies by
Ellison et al.
(27,28)
showing that changes in the food supply in boarding schools are well tolerated
and can lead to improvements in physiological risk factors.
Whereas these studies investigating specific manipulations of the
environment have tended to show positive effects, there are several large
community interventions and school-based approaches that relied mainly on
educational programming, which had much more limited effects on eating
behavior, eating activity, or obesity
(29,30,31).
Thus, actually changing the environment may be far more effective than trying
to educate the public to deal with an unhealthful environment.
Barriers to progress
To date, there has been little research on the environmental factors
related to eating and physical activity. Such research will require conceptual
work to determine what the key variables are and how best to change them; it
will also require new methods for measuring these environmental variables and
consideration of cultural factors that may influence the results.
Environmental variables may be inherently difficult to study because they are
ubiquitous; the most important variables may be wide-spread, such as
television advertisements, car use, presence of fast-food outlets, and
availability of palatable energy-dense foods. People may also resist
environmental changes in these domains. Small-scale projects are needed to
learn how to intervene on environmental variables.
Research recommendations
- Theoretical and epidemiological research. Because this is a new area
of research, conceptual work is needed to identify the most important
environmental and policy influences on eating and physical activity behaviors.
Identifying such influences will require input from scientists, public health
experts, marketing researchers, and policy makers. Development of objective
psychometrically sound measures of environmental characteristics related to
eating and physical activity is also needed, again requiring collaboration
across diverse fields. Correlational studies are needed to document
associations between environmental and policy variables and behaviors. These
studies would generate hypotheses regarding which variables have the most
influence on eating and physical activity, and examine the interactions
between environmental factors and cultural and socioeconomic differences in
the populations.
- Intervention studies. Small focused interventions are needed to
examine the effect of specific environmental manipulations on outcomes (i.e.,
eating behavior, physical activity, and biological end points). Strategies for
changing the home environment (e.g., access to television), other controlled
environments (e.g., boarding schools, university dormitories, and summer
camp), and the broader neighborhood community should be developed. Changes in
the environment to increase access to healthful food and physical activity and
to reduce both the financial and behavioral costs of such behaviors should be
evaluated. Similarly, it is important to examine ways to decrease access to
undesirable behaviors, such as limiting the availability of unhealthy snack
foods in school settings or limiting the number of hours of television
viewing. It is important to determine whether environmental interventions have
similar effects on different ethnic or socioeconomic groups. Studies focusing
on the acute effect of environmental change on behavior could be modest in
scope; those intended to affect biological end points would need to be more
extensive in scope and duration.
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ADOPTION AND MAINTENANCE OF HEALTHFUL EATING, PHYSICAL ACTIVITY, AND
WEIGHT
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Why is this topic significant?
As noted earlier, both obesity and physical inactivity are risk factors for
diabetes, and the reduction or elimination of such factors appears to be
related to prevention and management of this disease. In addition, CHD is the
major cause of mortality for individuals with diabetes
(11). Both physical activity
and weight loss have been shown to reduce blood pressure, improve serum lipid
levels, and positively affect other CHD risk factors
(11). Thus, development of
more effective strategies for adoption and maintenance of healthful eating,
physical activity, and body weight would be significant for the prevention and
treatment of both diabetes and CHD.
Prior research
Behavioral approaches to obesity were first introduced during the 1970s and
have become increasingly popular in the management of diabetes. Programs that
combine diet, exercise, and behavior modification have been shown to be most
effective over the short term
(11). Currently, a patient
entering such a behavioral program will lose 20 lb on average ( 10% of
their weight) over the course of 20-26 weeks
(32). Alternative approaches
to the delivery of the intervention (e.g., through use of computers or
correspondence) have been explored
(33,34).
Although these approaches have typically produced smaller weight loss than
face-to-face programs, they may increase the proportion of the population that
is willing to participate in weight control interventions.
Longer-term maintenance of weight loss after participation in weight
control interventions is less successful. At the 1-year follow-up, patients
have typically regained 30% of their initial weight loss
(32); the few studies with 3-
to 5-year follow-up suggest that most patients are back to baseline by this
time (35). The most consistent
predictors of long-term maintenance of weight loss are increased physical
activity and adherence to self-monitoring. Continued treatment contact also
appears to improve long-term maintenance of weight loss
(36).
There have been a number of studies applying behavioral weight control
approaches to type 2 diabetic patients
(37). These studies have
suggested that improvement in glycemic control and reduction in CHD risk
factors are related to the magnitude of weight loss, but even modest weight
reduction of 10% of body weight appears to improve a patient's glycemic
control, blood pressure, lipids, and quality of life
(38,39,40).
There is some evidence that diabetic patients are less successful in
maintaining long-term weight loss than people without diabetes
(41), a result perhaps due to
metabolic differences between these two groups. Thus, continued efforts are
needed to develop behavioral weight loss interventions that will increase the
percentage of diabetic patients who are able to lose and maintain weight
losses of at least 10% of initial body weight.
Behavioral research on physical activity started more recently and has
taken a more community-oriented, less clinic-based approach
(42,43).
The focus has been on developing strategies to increase the proportion of
individuals who adopt physical activity and the proportion that will maintain
activity for the long term. Frequent contact by phone and print has been found
to help promote activity, along with development of personalized messages
matched to the participants' readiness to change their behavior
(44,45).
Several studies have also documented the impact that physicians can have by
recommending and "prescribing" exercise to their patients
(46,47,48,49).
Emphasis has gradually shifted to home-based, rather than clinic-based,
physical activity interventions
(50,51),
and the accumulation of 150 min/week of moderate-intensity physical activity
through multiple short bouts of exercise
(52) and/or incorporation of
lifestyle activity within one's daily routine
(53).
Barriers to progress
Development of effective strategies for long-term maintenance of any
behavior change has proven to be difficult. To develop more effective
long-term interventions, it is necessary to understand better what motivates
continued adherence to lifestyle change. Since research on longterm
maintenance requires large sample sizes and long periods of time, developing
reliable intermediate end points would allow for evaluation of intervention
strategies in a more condensed time frame. Better ways to assess energy intake
and expenditure would allow investigators to focus interventions more directly
on the behaviors related to body weight.
Research recommendations
- Research directly focused on maintenance. Currently, the major
problem in the field is the difficulty of ensuring long-term maintenance of
behavior change (54).
Therefore, concerted efforts are needed to better understand why maintenance
is so difficult and how long-term outcomes can be improved. Aspects of
maintenance meriting further attention include the following: the nature and
frequency of intervention contact, novel methods of promoting self-monitoring
and social support, methods of sequencing or matching treatment to relevant
individual characteristics, the level of physical activity that should be
recommended, and theoretical constructs that may promote long-term adherence.
It is recommended that there be a focus on longterm maintenance within the
context of existing large-scale trials, such as the Diabetes Prevention
Program and the Study of the Health Outcomes of Weight Loss.
- Increased understanding of motivation. Research is needed to
understand better what motivates people to initiate changes in diet and
physical activity and what sustains engagement in these behaviors for the long
term. Recognition of cultural differences in the attitudes about ideal body
weight, obesity, and physical activity will be important in this research.
- New approaches to providing treatments. Research is needed that
moves beyond traditional clinic-based models and explores other avenues for
intervention with the goal of increasing both the number of people who attempt
to lose weight and the long-term effects on body weight. New approaches
include church-based interventions and interventions in the primary care
setting. Since many individuals who change diet or physical activity do so on
their own (i.e., without participation in formal programs)
(55), it is important to
examine ways to facilitate such efforts, such as using computer-based Internet
interventions.
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ETIOLOGY OF EATING AND PHYSICAL ACTIVITY BEHAVIORS
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Why is this topic significant?
To develop approaches to treatment and prevention, it is important to have
some understanding of the etiology of obesity and the factors involved in the
development of eating and physical activity habits. This understanding is
particularly relevant to the growing problem of childhood obesity.
The prevalence of childhood over-weight has increased dramatically over the
past 2 decades, nearly doubling by some estimates
(56,57).
Childhood overweight is particularly common in minority groups, such as
African-Americans and Hispanics. With this increased prevalence of childhood
obesity has come a startling increase in the prevalence of type 2 diabetes in
children and adolescents
(2).
Childhood obesity is also significant because of its psychosocial costs
(58,59).
In a recent study (59),
overweight adolescent females, followed for 7 years, were found to complete
less schooling, to be less likely to get married, and have lower income than
their normal-weight peers.
Obesity in childhood often continues into adulthood. However, the more
common path to obesity in adulthood is to be normal weight as a child and
gradually gain weight during adulthood
(60). Highrisk periods for
weight gain include the time period of 25-34 years of age and the time periods
surrounding menopause (61).
Pregnancy can also be a high-risk time period for a subset of women
(62).
Although weight gain and obesity are clearly due to problems in energy
balance, it is still unclear whether this is due to high dietary intake, a low
level of physical activity, or both. Secular changes in dietary patterns
(e.g., increased reliance on fast foods and increased portion sizes) and
physical activity (e.g., decreased playtime and increased use of television as
a child-care strategy) may contribute to these changes. A better understanding
of the process by which children establish their eating and physical activity
preferences and the changes that occur with age will facilitate development of
more effective approaches for prevention and treatment of obesity.
Prior research
Research on the etiology of eating and physical activity has pointed out
the important influence of parents in the development of children's food
preferences, dietary intake, and activity patterns
(63). Parent-child
relationships in nutrient intake appear to be related more to shared
environment than to genetics and appear stronger for mother-child pairs than
father-child pairs
(63,64).
Young children appear to regulate their energy intake quite accurately.
That is, if they are fed a high-calorie preload, they will eat less during a
subsequent meal than if they had been fed a low-calorie preload. However, over
time, children become less accurate at such regulation
(65). These changes may be due
to environmental and familial influences. For example, older children are more
responsive to the influence of portion size
(65). Moreover, mothers who
report more control over their children's eating behavior have children who
regulate their energy intake less successfully. Recent work suggests that
parents shape their children's eating behavior through their feeding practices
(66), but also through the
foods they offer to their children and through direct modeling.
The strongest predictor of dietary intake is food preference; people tend
to eat what they enjoy. Such preferences appear to be in part innate and in
part responsive to early feeding experiences
(67). Although preference for
sodium has been shown to change with repeated exposure to low-sodium foods, it
is unclear whether preference for dietary fat can be changed by consuming a
low-fat diet (68).
There have been more than 100 studies of physical activity patterns in
children and more than 300 studies in adults
(21,22).
Most are correlational and have examined demographic, psychological/emotional,
behavioral, social/cultural, and environmental correlates of physical
activity. Significant associations have been found in all domains. Children
appear to be the most active segment of the U.S. population, with physical
activity levels declining from the age of 6 years on
(69). Decreases in physical
activity during adolescence are dramatic. Among adults, sedentary behavior is
more prevalent for women, the less educated, the poor, and ethnic minorities
(70).
Research has shown that obesity aggregates within families. Interventions
for childhood obesity that target both the child and the overweight parent
appear most successful (71).
In a series of studies, Epstein et al.
(72) have shown that
family-based interventions for overweight children aged 8-12 years produce
improvements in obesity that are maintained through 10 years of follow-up.
To date, there have been few studies designed to prevent obesity. Jeffery
and French (73) found little
benefit over 3 years of a low-intensity intervention for weight gain
prevention. In contrast, a more intensive intervention to prevent weight gain
and lipid changes during the menopausal transition was quite effective through
5 years of intervention
(45).
Barriers to progress
Research on etiology of obesity is hampered by the inability to accurately
assess intake (i.e., total calories, macronutrient intake, and patterns of
intake) and physical activity (i.e., overall amount of activity, its
intensity, and the patterns of activity). Self-report measures of these
parameters are subject to many biases
(74). In addition, there have
been few theoretically based studies of the etiology of obesity.
Environmental, cultural, and policy influences have not been systematically
investigated, and most studies have not been designed to be relevant to
intervention. Few studies have focused specifically on prevention of weight
gain.
Research recommendations
- Longitudinal research. Longitudinal research is needed to identify
risk and protective factors for childhood overweight and for weight gain
during adulthood. These designs should include samples that allow comparisons
across racial and ethnic groups. Research designs should include measures of
physical activity, energy expenditure, and food intake and should assess
aspects of the environment related to eating and exercise behavior (e.g., the
portion of meals eaten away from home and the environmental opportunities for
activity). For studies of children, particular attention to the family
environment is needed; this will allow for examination of how genetic and
environmental factors interact to produce overweight or weight gain. Once
longitudinal data (with measures at multiple time points) are available, new
statistical techniques, such as growth-curve multilevel modeling, can be used
to identify predictors that may constitute risk and protective factors and
that predict differing growth trajectories. An important longitudinal issue is
to determine how and when childhood behaviors carry over to adulthood.
- Research on development of preferences for foods and activities.
Research is needed that describes the factors involved in the acquisition of
food and physical activity preferences. What are the biological and
environmental influences that shape eating and physical activity preferences?
How stable are these preferences over time, and what strategies can be used to
modify these preferences?
- Intervention studies. Research is needed to determine how to prevent
the development of obesity in children and reduce obesity in those children
already affected. It is unclear whether there are certain ages that are most
conductive to effective intervention (e.g., ages 8-12 years) and what
strategies are most effective in modifying diet and activity patterns.
Similarly, interventions are needed to prevent the decrease in physical
activity that occurs during adolescence and to examine the impact of such
interventions on weight change and other health-related parameters in young
adults (75). Interventions to
prevent weight gain and the development of obesity during adulthood are also
needed.
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MULTIPLE BEHAVIOR CHANGES
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Why is this topic significant?
The treatment regimen for individuals with diabetes is extremely complex.
The regimen includes both lifestyle components (i.e., diet and physical
activity) and typically pharmacological components (i.e., oral medication and
insulin). Patients must monitor their blood glucose and use this information
to adjust and coordinate eating, physical activity, and medication doses. In
addition, many patients with diabetes have other comorbidities, including
hypertension and hyperlipidemia, and thus must integrate their diabetes
self-care with self-care of these other diseases. The treatment regimen also
involves regular visits to physicians or other health care providers and
screening and treatment for diabetes-related conditions (e.g., eye screenings
and foot care). Tobacco use or excessive alcohol use further complicates the
task of behavior change.
It remains unclear how best to integrate these multiple behavior changes.
This issue is important within lifestyle behaviors (e.g., is it best to start
with diet and add exercise, or start with exercise and add diet, or do both
concurrently?) and is made even more complex when medication is added to the
treatment regimen. Which behaviors are synergistic and which negatively affect
each other remains unclear. What is the optimal role of the health care
clinician in sorting out priorities for behavior change?
Prior research
Previous research has suggested that the combination of diet and physical
activity is more effective for long-term weight loss maintenance and improved
glycemic control than either intervention alone
(11). Physical activity may
also act as a catalyst for other behavior changes; individuals who are more
active often consume healthier diets and smoke less
(76).
The positive impact of the combination of diet plus exercise contrasts with
other examples in which the combination of two behavioral goals produces less
change in each of the behaviors. In treatment of hypertension, for example,
patients who are instructed to follow a low-sodium diet and lose weight are
less adherent to either of these changes than when they are introduced
separately (77).
Smoking cessation programs have examined the effectiveness of including
other lifestyle behaviors within the program to address concerns about weight
gain after smoking cessation. Studies combining smoking cessation with a
weight loss intervention have been relatively unsuccessful
(78), whereas a recent study
combining smoking cessation with physical activity appears promising
(79). There is also evidence
that targeting alcohol consumption and smoking enhances abstinence rates for
both behaviors (80).
To date, there has been little research on how best to combine lifestyle
and pharmacological treatments to maximize compliance to both regimens and
increase overall effectiveness
(81). With the increased
interest in drug treatment of obesity, such research clearly will be of
significance.
Barriers to progress
Clinically, the major barrier to the combination of lifestyle modification
and pharmacological treatment relates to the different specialty groups that
focus on each approach. Although physicians feel competent to prescribe
medication, they have little or no experience with lifestyle intervention. The
lack of time the physician has available for each patient in primary care
settings poses another barrier to use of lifestyle intervention. Conversely,
the behaviorists who are most expert at lifestyle intervention are not
qualified to prescribe drugs.
From a research perspective, a major barrier is the complexity of the study
design required for investigation of multiple behavior changes. Such studies
require large sample sizes and relatively long duration.
Research recommendations
- Research on multiple lifestyle changes. Research is needed to
determine which lifestyle interventions act synergistically with each other
and which combinations are less effective. Although it is often assumed that
modification of multiple lifestyle factors will enhance prevention and
treatment efforts for diabetes, research in other areas (e.g., smoking plus
weight loss) suggests that targeting multiple behaviors may, in some cases,
have a negative impact on treatment. Therefore, it is important to compare the
effects of targeting a single lifestyle factor, sequencing of several
lifestyle factors, or targeting multiple factors simultaneously. Whether
physical activity has a special role as a catalyst for other lifestyle
behavior changes deserves specific attention.
- Research combining lifestyle and pharmacological treatment. Research
is needed to develop strategies to maximize the effectiveness of the
combination of lifestyle and pharmacological treatments. Such research should
be multidisciplinary and examine lifestyle plus medication approaches for
treatment of obesity, diabetes, and other CHD factors. Questions related to
the timing of the two approaches, the impact of patient preference or choice
(versus clinicians' choice) regarding these two modalities, and ways to train
physicians and other clinicians in the use of lifestyle approaches within
clinical settings deserve attention.
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CONCLUSIONS
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Given the strong association between lifestyle
behaviors and the prevention and treatment of type 2 diabetes, it is important
that greater research attention be directed at issues related to the
development of healthful eating and physical activity habits and strategies
for modifying unhealthy behaviors. The focus should be on ways to change
eating and physical activity behavior both from an individual perspective and
a broader environmental perspective.
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FOOTNOTES
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Abbreviations: CHD, coronary heart disease; NIDDK, National
Institute of Diabetes and Digestive and Kidney Diseases.
A table elsewhere in this issue shows conventional and
Système International (SI) units and
conversion factors for many substances.
Received for publication March 7, 2000.
Accepted for publication May 24, 2000.
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