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Size Acceptance and Intuitive Eating Improve Health for Obese, Female Chronic Dieters

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Examine a model that encourages health at every size as opposed to weight loss. The health at every size concept supports homeostatic regulation and eating intuitively (ie, in response to internal cues of hunger, satiety, and appetite). Six-month, randomized clinical trial; 2-year follow-up. White, obese, female chronic dieters, aged 30 to 45 years (N=78). Free-living, general community. Six months of weekly group intervention (health at every size program or diet program), followed by 6 months of monthly aftercare group support. Anthropometry (weight, body mass index), metabolic fitness (blood pressure, blood lipids), energy expenditure, eating behavior (restraint, eating disorder pathology), and psychology (self-esteem, depression, body image). Attrition, attendance, and participant evaluations of treatment helpfulness were also monitored. Analysis of variance. Cognitive restraint decreased in the health at every size group and increased in the diet group, indicating that both groups implemented their programs. Attrition (6 months) was high in the diet group (41%), compared with 8% in the health at every size group. Fifty percent of both groups returned for 2-year evaluation. Health at every size group members maintained weight, improved in all outcome variables, and sustained improvements. Diet group participants lost weight and showed initial improvement in many variables at 1 year; weight was regained and little improvement was sustained. The health at every size approach enabled participants to maintain long-term behavior change; the diet approach did not. Encouraging size acceptance, reduction in dieting behavior, and heightened awareness and response to body signals resulted in improved health risk indicators for obese women.
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RESEARCH
Current Research
Size Acceptance and Intuitive Eating Improve
Health for Obese, Female Chronic Dieters
LINDA BACON, PhD; JUDITH S. STERN, ScD; MARTA D. VAN LOAN, PhD; NANCY L. KEIM, PhD
ABSTRACT
Objective Examine a model that encourages health at ev-
ery size as opposed to weight loss. The health at every
size concept supports homeostatic regulation and eating
intuitively (ie, in response to internal cues of hunger,
satiety, and appetite).
Design Six-month, randomized clinical trial; 2-year follow-
up.
Subjects White, obese, female chronic dieters, aged 30 to
45 years (N78).
Setting Free-living, general community.
Interventions Six months of weekly group intervention
(health at every size program or diet program), followed
by 6 months of monthly aftercare group support.
Main outcome measures Anthropometry (weight, body mass
index), metabolic fitness (blood pressure, blood lipids), en-
ergy expenditure, eating behavior (restraint, eating disor-
der pathology), and psychology (self-esteem, depression,
body image). Attrition, attendance, and participant evalua-
tions of treatment helpfulness were also monitored.
Statistical analysis performed Analysis of variance.
Results Cognitive restraint decreased in the health at every
size group and increased in the diet group, indicating that
both groups implemented their programs. Attrition (6
months) was high in the diet group (41%), compared with
8% in the health at every size group. Fifty percent of both
groups returned for 2-year evaluation. Health at every size
group members maintained weight, improved in all out-
come variables, and sustained improvements. Diet group
participants lost weight and showed initial improvement in
many variables at 1 year; weight was regained and little
improvement was sustained.
Conclusions The health at every size approach enabled
participants to maintain long-term behavior change; the
diet approach did not. Encouraging size acceptance, re-
duction in dieting behavior, and heightened awareness
and response to body signals resulted in improved health
risk indicators for obese women.
J Am Diet Assoc. 2005;105:929-936.
Concern regarding obesity continues to mount among
government officials, health professionals, and the
general public. Obesity is associated with physical
health problems, and this fact is cited as the primary
reason for the public health recommendations encourag-
ing weight loss (1). That dieting and weight loss are
critical to improving one’s health is reinforced by a social
context that exerts enormous pressure on women to con-
form to a thin ideal. Public attention to weight and its
associated comorbidities continues to increase, and diet-
ing is now firmly ensconced in our cultural identity. The
majority of US women are now dieting: 57% stated in a
national telephone survey that they are currently engag-
ing in weight-control behaviors (2).
Despite heightened attentiveness to obesity and the in-
crease in dieting behavior (3), the incidence of obesity con-
tinues to rise (4). There are little data showing improved
long-term success for the majority of those engaged in
weight-loss behaviors (5). Some have challenged the ability
of diet programs to either achieve lasting weight loss or to
improve health, and question the ethics and value of en-
couraging dieting as an obesity intervention (5-9). Others
challenge the primacy of weight loss in addressing the as-
sociated health risks, regardless of method (10-12). They
suggest that while the epidemiologic research clearly indi-
cates an association between obesity and health risk, the
risks of obesity may be overstated, and the association
largely results from a sedentary lifestyle, poor nutrition,
weight cycling, and/or other lifestyle habits, as opposed to
solely reflecting adiposity itself.
Critics of the diet to improve health model suggest a
paradigm shift in treating weight-related concerns. They
recommend focusing on health behavior change as op-
posed to a primary focus on weight loss (6,13,14). Their
approach is supported by increasing evidence that dis-
eases associated with obesity can be reversed or mini-
mized through lifestyle change, even in the absence of
weight change, and that people can improve their health
while remaining obese (5,10,12,15).
L. Bacon is an associate nutritionist with the Agricul-
tural Experiment Station, University of California,
Davis, and a nutrition professor with the Biology De-
partment, City College of San Francisco, San Francisco,
CA. J. S. Stern is a distinguished professor with the De-
partment of Nutrition and the Division of Endocrinol-
ogy, Clinical Nutrition and Cardiovascular Medicine in
the Department of Internal Medicine, University of Cali-
fornia, Davis. M. D. Van Loan is a research physiolo-
gist, and N. L. Keim is a research chemist with the US
Department of Agriculture, Agricultural Research Ser-
vice, Western Human Nutrition Research Center, Davis,
CA.
Address correspondence to: Linda Bacon, PhD, Box
S-80, Biology Department, City College of San Fran-
cisco, 50 Phelan Ave, San Francisco, CA 94112. E-mail:
lbacon@ccsf.edu
Copyright © 2005 by the American Dietetic
Association.
0002-8223/05/10506-0001$30.00/0
doi: 10.1016/j.jada.2005.03.011
©2005 by the American Dietetic Association Journal of the AMERICAN DIETETIC ASSOCIATION 929
An alternative obesity treatment model teaches people
to support homeostatic regulation and eating intuitively
(ie, in response to internal cues of hunger, satiety, and
appetite) instead of cognitively controlling food intake
through dieting (16). An essential component of some
intuitive eating programs is to encourage health at every
size (Figure 1) rather than weight loss as a necessary
precondition to improved health.
This study was undertaken to examine the effectiveness
of a health at every size approach in improving health. [In a
previous report (17), we referred to this as a nondiet inter-
vention. This has since been changed to “health at every
size” to reflect the changing terminology in the field.] Met-
abolic fitness (blood pressure and blood lipid levels), energy
expenditure, eating behavior (restraint and eating disorder
pathology), and psychology (self-esteem, depression, and
body image) were evaluated.
METHODS
Procedure
Applicants were recruited from the Davis, CA area, and
those meeting the following inclusion criteria were enrolled:
white; female; aged 30 to 45 years; body mass index (BMI)
30; nonsmoker; not pregnant or lactating; Restraint Scale
(18) score 15 (indicating a history of chronic dieting); and
no recent myocardial infarction, active neoplasms, type 1
diabetes, type 2 diabetes, or history of cardiovascular or
renal disease. The research protocol was approved by the
Institutional Review Board of the University of California,
Davis, and informed consent was obtained.
Enrolled participants (N78) were divided into BMI
quartiles and high/low sets for dietary restraint (18),
degrees of flexible and rigid control of eating (19), age,
and self-reported activity level to ensure balance in the
treatment groups. Participants in these subgroups were
randomly assigned to one of two treatment groups.
Treatment Conditions
Two treatment conditions were investigated: a diet group
and a health at every size group. Both treatment groups
included 24 weekly sessions, each 90 minutes in length.
Following this, six monthly aftercare sessions were of-
fered, described as optional group support.
Diet Group
The focus of the diet group was similar to most behavior-
based weight-loss programs: eating behaviors and atti-
tudes, nutrition, social support, and exercise. Partici-
pants were taught to moderately restrict their energy and
fat intake, and to reinforce their diets by maintaining
food diaries and monitoring their weight. Exercise at an
intensity within the training heart range delineated in
the American College of Sports Medicine/Centers for Dis-
ease Control and Prevention guidelines was encouraged.
Material was presented on topics including how to count
fat grams and exchanges, understanding food labels,
shopping for food, the benefits of exercise, and behavior
strategies for success. The program was taught by an
experienced registered dietitian and reinforced using the
LEARN Program for Weight Control manual (20).
Health at Every Size Group
There were five aspects to the health at every size treat-
ment program: body acceptance, eating behavior, nutrition,
activity, and social support. The initial focus was on enhanc-
ing body acceptance and self-acceptance, and participants
were supported in leading as full a life as possible, regard-
less of BMI. The goal was to first help participants disen-
tangle feelings of self-worth from their weight. The eating
behavior component supported participants in letting go of
restrictive eating behaviors and replacing them with inter-
nally regulated eating. Participants were educated in tech-
niques that allowed them to become more sensitized to
internal cues and to decrease their vulnerability to external
cues. The nutrition component educated participants about
standard nutrition information and the effects of food
choices on well-being, and supported them in tempering
their food choices with foods that honored good health (in
addition to their taste preferences). The activity component
helped participants identify and transform barriers to be-
coming active (eg, attitudes toward their bodies) and to find
activity habits that allowed them to enjoy their bodies. The
support group element was designed to help participants
see their common experiences in a culture that devalues
large women, and to gain support and learn strategies for
asserting themselves and effecting change. The program
was facilitated by a counselor who had conducted educa-
tional and psychotherapeutic workshops and groups and
had completed all of the coursework necessary to obtain a
doctorate in physiology with a focus on nutrition. It was
reinforced with a written manual that provided detailed
information and practical advice for implementing the
strategies (Bacon L. Hungry Nation: Why the All-American
Diet Will Never Satisfy Your Appetite, unpublished manu-
script).
Evaluation/Outcome Measures
Participants attended five testing sessions: baseline, 12
weeks (midtreatment), 26 weeks (posttreatment), 52
weeks (postaftercare), and 104 weeks (follow-up).
Anthropometric and Metabolic Fitness Measures
Participants reported to the laboratory in the morning,
having abstained from food, beverages, or vigorous activ-
Accepting and respecting the diversity of body shapes and
sizes.
Recognizing that health and well-being are multidimensional
and that they include physical, social, spiritual, occupational,
emotional, and intellectual aspects.
Promoting eating in a manner which balances individual
nutritional needs, hunger, satiety, appetite, and pleasure.
Promoting individually appropriate, enjoyable, life-enhancing
physical activity, rather than exercise that is focused on a goal
of weight loss.
Promoting all aspects of health and well-being for people of all
sizes.
Figure 1. Basic guiding principles of the health at every size program.
As drafted by the Association for Size Diversity and Health (30).
930 June 2005 Volume 105 Number 6
ity for at least 12 hours. Weight was measured on an
electronic scale and height was measured using a wall-
mounted stadiometer. Blood pressure was assessed in
duplicate using the oscillometric technique. Fasting blood
samples were analyzed for blood lipids (total cholesterol,
low-density lipoprotein [LDL] cholesterol, and high-den-
sity lipoprotein [HDL] cholesterol).
Energy Expenditure
The Stanford Seven-Day Physical Activity Recall (21) was
administered by interview to evaluate time spent in phys-
ical activity. A summary of energy expenditure was de-
rived by multiplying the average time of each activity by
the average intensity in metabolic equivalents. To mini-
mize interexaminer error and reduce variability, all in-
terviews were conducted by two examiners, who collabo-
rated to achieve consistent scoring.
Eating Behavior Measures
The Eating Inventory (22) consists of three subscales:
cognitive restraint, disinhibition, and hunger. The Eating
Disorder Inventory-2 (23) contains eight subscales: three
assess attitudes and behaviors toward weight, body
shape, and eating (drive for thinness, bulimia, and body
dissatisfaction); five measure more general psychological
characteristics that are clinically relevant to eating dis-
orders (ineffectiveness, perfectionism, interpersonal dis-
trust, interoceptive awareness, and maturity fears).
Psychological Measures
The Beck Depression Inventory (24) measures alterations
in mood and self-concept. The Rosenberg Self-Esteem Mea-
sure (25) focuses on a self-evaluation of approval or disap-
proval. The Body Image Avoidance Questionnaire assesses
behaviors associated with negative body image (26).
Statistical Methods
Power analyses conducted on the Rosenberg Self-Esteem
Measure and Beck Depression Inventory from two health
at every size studies (27,28) determined that 20 partici-
pants per treatment group (n40 total) were needed to
detect a difference of 0.75 standard deviations between
groups with 80% power. We attempted to recruit 80 par-
ticipants to allow for 50% attrition.
All analyses were conducted using Statistica (version
5.1, 1996, Statsoft, Inc, Tulsa, OK). Student’s ttest was
used to compare baseline characteristics between groups.
Repeated measures analysis of variance with a within-
subject factor of time (four levels: baseline, 26 weeks, 52
weeks, and 104 weeks) and a between-subject factor of
group (two levels: diet and health at every size) was run
to test differences in variables. Significance was set at
P.05. A least significant difference post-hoc test was run
on any variable that indicated significant difference.
RESULTS
Unless otherwise specified, the reported results include
all participants for whom data were available at follow-
up: 19 participants from the health at every size group
and 19 participants from the diet group, or 50% of each
original sample. The 19 participants who returned for
follow-up testing in the health at every size group all
completed the 26-week program, whereas the 19 partici-
pants who returned for testing in the diet group included
Figure 2. Flow chart illustrating diet vs health at every size trial procedures.
a
Measurements taken at each time point.
b
HAEShealth at every size.
June 2005 Journal of the AMERICAN DIETETIC ASSOCIATION 931
16 program completers, and three participants who had
dropped out of the program (see Figure 2). The statistical
significance is not different when the dropouts are ex-
cluded from the analysis (although average values and
standard deviations are altered). Results of some aspects
were occasionally invalid or unavailable, resulting in
small variation in the number of participants reported on
for each measure.
Participants
Table 1 shows the sociodemographic characteristics of the
reported subject population. There was no significant differ-
ence in age, initial weight, or BMI. The sociodemographic
profile of the completers and study dropouts was similar.
Attrition
Program attrition was previously reported (17). Almost
half of the diet group dropped out (42%) before the end of
treatment, whereas almost all (92%) of the health at
every size group completed the program.
Weight-Related Measures
As shown in Table 2, the health at every size group
members maintained weight and BMI throughout the
study and follow-up period. The diet group significantly
decreased their weight posttreatment (–5.2 kg7.3 from
baseline), such that their weight loss was 5.2% of the
initial weight. They maintained the weight loss postafter-
care (–5.3 kg6.7 from baseline), but regained some of
the weight such that weight was not significantly differ-
ent between baseline and follow-up (P.068). There was
a parallel pattern to the change in BMI.
Blood Lipid Levels and Blood Pressure Measures
As indicated in Table 3, the health at every size group
members showed an initial increase in total cholesterol,
followed by a significant decrease from baseline at follow-
up. The diet group members showed no significant change
in total cholesterol at any time. Both groups showed a
significant decrease in LDL cholesterol levels postafter-
care: the health at every size group sustained this im-
provement at follow-up and LDL cholesterol levels in the
diet group were not significantly different between base-
line and follow-up. HDL cholesterol levels decreased in
both groups.
Both groups showed a significant lowering of systolic
blood pressure posttreatment and postaftercare. The
health at every size group sustained this improvement at
follow-up (P.043), whereas the diet group did not quite
achieve significance in sustaining their improvement
(P.051). There was no significant change in diastolic
blood pressure in either group at any time.
Activity Measures
The health at every size group demonstrated a significant
increase in daily energy expenditure posttreatment and
at follow-up. This was not significant at 52 weeks. There
was also an almost fourfold increase in moderate activity
at follow-up, which was the only of the individual activity
factors that was significantly different from baseline. The
sum of time spent in moderate, hard, and very hard
activity was also significantly increased for the health at
every size group at follow-up, such that it was slightly
more than double initial values. The diet group showed a
significant increase in some aspects of energy expendi-
ture postaftercare; however, none of these were sustained
at follow-up.
Eating Behavior Measures
Both groups started with relatively low cognitive re-
straint (restricted eating). This changed in opposite
directions in the two groups: it significantly decreased
in the health at every size group and significantly
increased in the diet group posttreatment and post-
aftercare (Table 4). The health at every size group
sustained this change at follow-up; the restraint scores
of the diet group were not significantly different be-
tween baseline and follow-up. Post-hoc analysis dem-
onstrated a significant between-group difference be-
tween baseline and follow-up. Both groups also
demonstrated significant improvement posttreatment
on the two other Eating Inventory subscales; that is,
hunger (susceptibility to hunger) and disinhibition
(loss of control that follows violation of self-imposed
rules). The health at every size group maintained these
improvements; the diet group maintained the improve-
ment in disinhibition, but not hunger.
Table 1. Characteristics of white, female chronic dieters partici-
pating in the health at every size program vs diet program weight-
loss trial
Characteristic
Health at
every size
group
(n19)
Diet group
(n19)
4meanstandard deviation 3
Age (y) 41.43.0 40.04.4
Weight (kg) 101.113.3 101.213.8
BMI
a
35.94.6 36.74.2
4™™™™™™™™ %™™™™™™™™3
Education
High school or less 5 16
Some college 42 21
College graduate 53 63
Employment status
Not employed 0 5
Employed 100 95
Job category
b
Professional 32 63
Clerical 26 21
Technical 11 11
Physical 0 0
Other 26 5
Relationship status
Married or domestic partnership 89.5 68
Single 10.5 32
a
BMIbody mass index; calculated as kg/m
2
.
b
Refers to those currently employed.
932 June 2005 Volume 105 Number 6
Table 2. Weight-related measures of white, female, chronic dieters by treatment condition over time
Measure
Mean ValuesStandard Deviation
Baseline to Follow-up
Comparison (PValue)
Baseline
(Time 0)
(Diet
a
n19;
HAES
b
n19)
Posttreatment
(24 weeks)
(Diet n16;
HAES n19)
Postaftercare
(52 weeks)
(Diet n18;
HAES n18)
Follow-Up
(104 weeks)
Diet n19;
HAES n19)
Within-group
analysis
Between-group
analysis
Weight (kg)
Diet 101.213.8 96.814.2
d
95.411.9
d
98.014.3 .068 .116
HAES 101.113.3 101.813.4 101.413.6 101.516.3 .817
BMI
c
Diet 36.74.2 35.34.1
d
34.73.5
d
35.54.6 .068 .786
HAES 35.94.6 36.14.6 36.04.5 36.05.4 .868
Weight change
from baseline
Diet . . . 5.27.3 5.36.7 3.27.2 .515 .116
HAES . . . 0.62.1
e
0.64.4
e
0.36.3 .841
a
Dietdiet group.
b
HAEShealth at every size group.
c
BMIbody mass index; calculated as kg/m
2
.
d
Significant within-group difference from baseline.
e
Significant between-group difference.
Table 3. Blood lipid and blood pressure measures of white, female, chronic dieters by treatment condition over time
Measure
Mean ValuesStandard Deviation
Baseline to Follow-up
Comparison (PValue)
Baseline
(Time 0)
Posttreatment
(24 weeks)
Postaftercare
(52 weeks)
Follow-up
(104 weeks)
Within-group
analysis
Between-group
analysis
Total cholesterol
(mmol/L)
a
Diet
b
(n17) 4.500.74 4.960.94 4.200.79 4.240.72 .222 .364
HAES
c
(n17) 4.610.80 5.350.77
d
4.320.75 4.070.77
d
.026
e
High-density lipoprotein
cholesterol (mmol/L)
Diet (n17) 1.200.27 1.230.34 1.180.32 1.010.25
d
.009
e
.404
HAES (n18) 1.290.29 1.230.21 1.140.23
d
1.030.16
d
.000
e
Low-density lipoprotein
cholesterol (mmol/L)
Diet (n17) 2.990.95 3.010.79 2.310.48
d
2.630.57 .236 .572
HAES (n18) 3.010.83 3.220.55 2.550.64
d
2.530.51
d
.038
e
Systolic blood pressure
(mm Hg)
Diet (n18) 127.611.1 120.112.2
d
116.610.9
d
121.316.9 .051 .982
HAES (n16) 125.814.2 119.912.9
d
119.915.4
d
119.511.7
d
.043
e
Diastolic blood
pressure (mm Hg)
Diet (n18) 73.28.0 71.69.7 69.58.1 73.310.6 .938 .403
HAES (n16) 70.39.0 67.87.1 69.78.4 68.38.0 .307
a
To convert mmol/L cholesterol to mg/dL, multiply mmol/L by 38.7. To convert mg/dL cholesterol to mmol/L, multiply mg/dL by 0.026. Cholesterol of 5.00 mmol/L193 mg/dL.
b
Dietdiet group.
c
HAEShealth at every size group.
d
Significant within-group difference from baseline.
e
Significant between-group difference.
June 2005 Journal of the AMERICAN DIETETIC ASSOCIATION 933
The health at every size group demonstrated signifi-
cant improvement between baseline and follow-up in four
of the eight Eating Disorder Inventory-2 subscales: drive
for thinness, bulimia (binge eating behavior), body dis-
satisfaction, and interoceptive awareness (ability to rec-
ognize and respond to internal states such as emotions,
hunger, and satiety). The diet group showed an initial
improvement in three subscales (bulimia, body dissatis-
Table 4. Eating behavior/psychological measures of white, female, chronic dieters by treatment condition over time
Measure
Mean ValuesStandard Deviation
Baseline to Follow-up
Comparison (PValue)
Baseline
(Time 0)
(Diet
a
n19;
HAES
b
n19)
Posttreatment
(6 months)
(Diet n16;
HAES n19)
Postaftercare
(12 months)
(Diet n18;
HAES n18)
Follow-up
(24 months)
(Diet n19;
HAES n19)
Within-group
analysis
Between-group
analysis
Eating inventory
Restraint
Diet 7.94.9 11.94.0
c
10.93.9
c
9.64.7 .076 .007
d
HAES 7.64.0 5.63.7
ce
5.23.1
ce
5.43.3
ce
.047
d
Hunger
Diet 8.13.5 5.64.2
c
6.33.6 7.13.9 .216 .268
HAES 8.42.9 4.43.1
c
5.23.3
c
6.14.0
c
.014
d
Disinhibition
Diet 12.22.1 8.42.8
c
9.73.0
c
10.33.1
c
.013
d
.070
HAES 12.12.5 7.64.2
c
7.24.3
c
8.23.9
c
.000
d
Eating disorders
inventory
f
Drive for
thinness
Diet 4.64.6 2.92.7 3.24.1 3.73.2 .354 .042
d
HAES 7.16.1 2.63.3
c
2.63.9
c
2.63.6
c
.004
d
Bulimia
Diet 4.64.0 1.32.1
c
1.11.4
c
2.73.7 .061 .464
HAES 3.83.4 1.11.5
c
0.81.9
c
1.11.4
c
.002
d
Body
dissatisfaction
Diet 17.55.9 15.16.2
c
17.07.7 16.88.0 .634 .023
d
HAES 17.94.5 12.87.5
c
13.68.3 11.96.6
ce
.002
d
Interoceptive
awareness
Diet 3.54.3 2.13.2 0.91.4
c
2.33.2 .123 .425
HAES 4.64.5 3.33.5 2.84.6 2.43.1
c
.038
d
Beck
Depression
Inventory
Diet 7.57.2 4.56.3
c
3.94.9
c
6.65.6 .134 .011
HAES 10.39.5 6.99.3
c
6.49.4
c
6.68.8
c
.001
d
Rosenberg Self-
Esteem
Inventory
Diet 31.25.5 32.55.5 32.24.8 29.15.8
c
.028
d
.000
d
HAES 30.93.8 32.15.8 32.45.6 33.74.5
ce
.001
d
Body image
avoidance
Diet 38.38.1 36.26.3 35.96.1 34.26.5 .059 .187
HAES 38.911.2 29.69.1
ce
28.49.9
ce
30.310.0
c
.003
d
a
Dietdiet group.
b
HAEShealth at every size group.
c
Significant within-group difference from baseline.
d
Significant difference from baseline to follow-up.
e
Significant between-group difference.
f
Four Eating Disorder Index subscales did not change and are not reported (ineffectiveness, interpersonal distrust, maturity fears, perfectionism).
934 June 2005 Volume 105 Number 6
faction, and interoceptive awareness), although none of
these improvements were sustained at follow-up. (A de-
crease in interoceptive awareness score represents im-
provement, because elevated scores represent a defect in
perception.) Post-hoc analysis demonstrated a significant
between-group difference in the drive for thinness and
body dissatisfaction subscales between baseline and fol-
low-up.
Psychological Measures
Both groups demonstrated significant improvement in
depression posttreatment and postaftercare; the health
at every size group sustained this improvement at follow-
up, whereas the diet group did not (Table 4). The health
at every size group demonstrated a significant improve-
ment in self-esteem at follow-up; the diet group demon-
strated a significant worsening. Post-hoc analysis indi-
cated significant between-group difference. The health at
every size group also demonstrated significant improve-
ment in body image avoidance behavior (P.003),
whereas improvement in the diet group was not statisti-
cally significant.
Participant Evaluations
There was a significant between-group difference in all
four participant evaluation questions (P.000). In re-
sponse to the statement, “My involvement with the
Healthy Living Project (name of study) has helped me to
feel better about myself,” 100% of the health at every size
participants endorsed “Agree” or “Strongly Agree” com-
pared with 47% of the diet group participants. Ninety-five
percent of the health at every size group participants
endorsed “Disagree” or “Strongly Disagree” regarding the
statement, “I feel like I have failed in the program,”
whereas 53% of the diet group endorsed “Agree” or
“Strongly Agree.” One hundred percent of health at every
size participants were “hopeful that the Healthy Living
Project would have a positive life-long impact” on them,
compared with 37% of the diet group. Eighty-nine percent
of the health at every size group endorsed “Regularly” or
“Often” in response to the statement: “I currently imple-
ment some of the tools that I learned in the Healthy
Living Project,” compared with 11% of the diet group.
DISCUSSION
There are two aspects of the health at every size model that
differ from the traditional treatment approach and concern
health care practitioners. First, although dieters are en-
couraged to increase their cognitive restraint to decrease
energy intake, health at every size participants are encour-
aged to decrease their restraint, relying instead on intuitive
regulation. Second, the health at every size model supports
participants in accepting their size, whereas in the diet
model, reduction in size (weight loss) is emphasized. Many
health care practitioners fear that health at every size is
irresponsible and that these aspects will result in indiscrim-
inate eating and increased obesity (16). Our data at 2 years
indicate this concern is unfounded.
Both groups were implementing their encouraged re-
straint pattern at the conclusion of the intervention and the
aftercare program. The diet group did not sustain this im-
proved restraint at follow-up, which is consistent with the
literature. The health at every size group members, on the
other hand, were able to sustain their decrease in restraint
(and interoceptive awareness) at follow-up. In other words,
health at every size participants became sensitized to body
signals regulating food intake, increased their reliance on
these signals as regulators of intake, and were able to main-
tain this behavior change over the 104-week period.
Improvements in many of the health behaviors and
health risk markers paralleled the relative success that
each group had in maintaining their restraint habits. For
example, both groups showed initial improvements in de-
pression, in all of the other scales related to eating behavior
and attitudes toward weight and food, and in many aspects
of metabolic functioning and energy expenditure. The
health at every size group sustained their restraint habits
and all of these improvements at follow-up, whereas mem-
bers of the diet group returned to baseline in their restraint
habits and all but the disinhibition scale.
The health at every size group also demonstrated a par-
allel improvement in self-esteem, and 100% of participants
reported that their involvement in the program helped
them feel better about themselves (compared with 47% of
the diet group). The diet group, on the other hand, demon-
strated initial improvement followed by a significant wors-
ening of self-esteem at follow-up. This damage to self-es-
teem was reinforced in other of the self-evaluation
questions. For example, 53% of participants in the diet
group expressed feelings of failure (compared with 0% of
health at every size participants).
The diet group’s change in weight exhibited the same
pattern: There was a decrease in weight at the program
conclusion, then a gradual regain, such that the final weight
loss of 3.2 kg was not significant (P.068). The health at
every size group members, on the other hand, maintained
weight throughout the study. The fact that the improve-
ments in health risk indicators occurred during relative
weight stability demonstrates that improvements in meta-
bolic functioning can occur through behavior change, inde-
pendent of a change in weight. Given the well-documented
difficulties in sustaining weight loss, this is a particularly
important result, and provides further support for redirect-
ing clients toward behavior change as opposed to a primary
focus on weight.
One limitation of the study was the small sample size
available at follow-up (50% of the original participants).
Considering that the diet group had high attrition (42%),
and that part of the attrition in diet programs is due to
participants’ dropping out when they are not successful (29),
it is likely that the results for the diet group may look more
favorable than was actually the case had all the partici-
pants been considered. Because program attrition in the
health at every size group was markedly lower (8%), this
inflation may be less pronounced in the results of the health
at every size group at program end.
It also should be noted that only 2-year follow-up was
conducted; longer follow-up (eg, 5 years) is suggested to
make more conclusive statements about long-term benefits.
CONCLUSIONS
Weight loss has been established as standard treatment
for obesity. Although often successful in the short term, it
has shown limited long-term success in mitigating obe-
June 2005 Journal of the AMERICAN DIETETIC ASSOCIATION 935
sity and its associated health problems for the majority of
dieters. Findings in the diet group were consistent with
previous literature. There was high attrition (42%), and
postaftercare data (1 year after program initiation) for
program completers indicated weight loss and improve-
ment in health risk indicators, although neither of these
were sustained at follow-up (2 years after program initi-
ation). Diet group participants additionally experienced
an overall detrimental effect on self-esteem and other
self-evaluation measures.
In contrast to a diet program, the health at every size
approach encourages persons to accept their body weight,
and to rely on their body signals to support positive
health behaviors and help regulate their weight. Results
from this randomized clinical trial were remarkably pos-
itive, with health at every size group participants show-
ing sustained improvements in many health behaviors
and attitudes as well as many health risk indicators
associated with obesity (including total cholesterol, LDL
cholesterol, systolic blood pressure, depression, and self-
esteem, but not HDL cholesterol). The data suggest that
a health at every size approach enables participants to
maintain long-term (2 years) behavior change, whereas a
diet approach does not.
Encouraging size acceptance, a reduction in dieting,
and a heightened awareness of and response to body
signals appears to be effective in supporting improved
health risk indicators for obese, female chronic dieters.
This research was supported in part by National Insti-
tutes of Health grants Nos. DK57738 and DK35747, a
cooperative agreement with the Western Human Nutri-
tion Research Center, and a National Science Foundation
fellowship.
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936 June 2005 Volume 105 Number 6
... Aside from energy intake and diet quality, several studies assessed different IE interventions and their effect on weight, BMI, self-esteem and other health-related outcomes. The Health at Every Size (HAES) program incorporated IE principles through 24 guided weekly sessions and was compared to a standard diet program (20) . HAES group participants showed better size acceptance, less dieting behaviors, and more body signal awareness and response (20) . ...
... The Health at Every Size (HAES) program incorporated IE principles through 24 guided weekly sessions and was compared to a standard diet program (20) . HAES group participants showed better size acceptance, less dieting behaviors, and more body signal awareness and response (20) . Another study assessed the "Mind, body Food" web-based interventions, to teach IE to middle aged women (21) . ...
... It was previously demonstrated in observational studies that IE is negatively correlated with BMI (14) and in interventional studies that IE interventions could maintain BMI (20,21) . The current study documented this negative correlation between IE and BMI. ...
Article
Full-text available
Unlabelled: Intuitive eating (IE) is a concept based on mind-body integration of instinct, emotion and rational thought, to improve eating behaviors, physical and mental health. Several attempts were developed to teach IE principles including text-messaging interventions given that they are easy to implement and low-cost. Objective: The present study aimed to assess the effectiveness of a five-week text-message-based IE intervention on IE, while correcting for perceived stress (PS) and self-compassion (SC). Design: A randomized control trial. Setting: Online, in Lebanon. Participants: Adults (n=195) were randomized into one of three groups: the active IE group receiving IE-related messages with a practice exercise, the passive IE group receiving only IE-related messages and the control group receiving general health-related tips. Ten messages were delivered over five weeks. Two follow-ups were made: directly post-intervention and five weeks later. Baseline data and follow-ups included demographics, nutrition-related variables and measures of IE, SC and PS. Results: Results indicated improvements in IE scores in the two intervention groups (p=0.05), with the passive IE group showing the most improvement. Also, a significant improvement in SC (Λ= 0.88, F (2, 63)=4.40, p=0.01), and reduction in PS (Λ= 0.86, F (2, 63)=5.21, p=0.008) were observed in the active IE group. Conclusion: Text-messaging interventions might be efficient in enhancing IE. Results shed light on the need for further large-scale interventions that use visual aids and provide practical guidance to teach IE, while further characterizing the relation between IE, SC and stress.
... Additionally, research has shown that intuitive eating is an important factor in eating disorder prevention and recovery (Koller et al., 2020;Linardon et al., 2021). Studies of intuitive eating interventions are promising and suggest that such interventions improve physical and psychological health outcomes and that these improvements are sustained long term (e.g., up to two years post-intervention in a sample of female chronic dieters with obesity, Bacon et al., 2005). Additionally, intuitive eating interventions have lower attrition rates compared to traditional weight loss interventions (Babbott et al., 2022;Bacon et al., 2005;Clifford et al., 2015;Mensinger et al., 2016;Schaefer & Magnuson, 2014). ...
... Studies of intuitive eating interventions are promising and suggest that such interventions improve physical and psychological health outcomes and that these improvements are sustained long term (e.g., up to two years post-intervention in a sample of female chronic dieters with obesity, Bacon et al., 2005). Additionally, intuitive eating interventions have lower attrition rates compared to traditional weight loss interventions (Babbott et al., 2022;Bacon et al., 2005;Clifford et al., 2015;Mensinger et al., 2016;Schaefer & Magnuson, 2014). ...
... Research on diet quality and intuitive eating is mixed with some but not all studies showing a positive relationship between intuitive eating and better diet quality (Hensley-Hackett et al., 2022;Jackson et al., 2022). Intuitive eating interventions have been shown to promote sustained health benefits (Bacon et al., 2005). Given that intuitive eating is focused on an anti-dieting approach (Tribole & Resch, 2012) and our sample reported finding the style appealing due to their opposition to restriction and dieting, it is recommended that the promotion of intuitive eating in college samples aim to find a balance between describing health benefits while also stressing that it is not another "diet". ...
Article
Background: Intuitive eating involves following internal cues of hunger and satiety to guide eating choices as opposed to responding to external signals, strong emotions, or dietary rules. This style of eating has consistently been shown to be related to better physical and psychological health indicators, and more interventions are being designed and studied to promote this eating style. The current study aimed to identify anticipated facilitators and barriers to following this style of eating among a group of college students enrolled in a larger study of intuitive eating. Method: Following a week of tracking their current eating as part of a larger study, college students read a description of intuitive eating. They then answered three open-ended questions about following intuitive eating including facilitators, barriers, and perceived ability to follow long term. Responses were coded using thematic analysis to identify themes across responses. Results: Among 100 participants, 86 % were female, 46 % were Hispanic (41 % non-Hispanic White, 13 % other race/ethnicity), mean age was 24.3 years, and mean body mass index was 26.2. The most commonly anticipated participant-reported facilitators of intuitive eating were being in touch with the body's needs and hunger cues, positive perceptions of intuitive eating, and health considerations. The most commonly anticipated barriers were logistical constraints (e.g., busyness and mealtimes), difficulty with hunger cues and reactions to food, and negative perceptions of intuitive eating. The majority of participants (64 %) would consider following this style of eating long term. Discussion: This study provides information that can be used to improve efforts aimed at promoting intuitive eating to college students, including marketing intuitive eating interventions, and clarifying misunderstandings of its key tenets that might serve as barriers.
... Aspects of these developments are useful in raising awareness of health issues and exposing disparities in care for individuals who are obese and also living with a mental illness. However, these initiatives may benefit from a redirection of focus from strictly weight loss to a concentration on general health promotion behaviors for people at every size, such as exercise and nutrition (Bacon, Stern, van Loan, & Keim, 2005;Miller, 2005;Provencher et al., 2007). ...
... HAES is a public health movement that promotes size and selfacceptance, encourages pleasurable physical activity, eating well, and ending weight bias (Burgard, 2009). HAES is not against weight loss but redirects focus to overall health behavior and intuitive eating instead of weight as the key measure of health (Bacon et al., 2005). This intervention may have valuable applications to individuals in recovery by shifting a self-defeating focus on weight to an empowering focus on health promoting activity. ...
Article
Full-text available
Topic: This article contrasts the traditional medical approach and size acceptance perspectives on obesity among people with serious mental illnesses. Purpose: Higher incidences of obesity among populations with serious mental illnesses have been identified. In response, a recent initiative in mental health has urged providers to address the obesity rates among populations with mental illnesses by monitoring weight, prescribing weight loss medication, and recommending bariatric surgery. However, literature is emerging with regards to the double stigma experienced by individuals with obesity and a mental illness. Therefore, the traditional focus on weight loss can benefit from a size acceptance approach to focus on health promotion and avoid stigmatizing size. Sources Used: Citations of theoretical and behavioral health literature on the experiences of individuals with mental illnesses and obesity are presented. Conclusions and Implications for Practice: Recommendations for interventions, training, and future research related to obesity and mental illnesses are provided. Implications are suggested for a size acceptance approach to interventions for individuals in recovery from mental illnesses to promote health at every size within mental health and medical settings.
... As indicated by Tylka et al. (2014), efforts are being made towards creating a safer environment for higher-weight individuals with disordered eating by implementing a weight-inclusive approach in healthcare settings, but few studies have examined the health promoting outcomes of weight-inclusive interventions for higherweight individuals compared to using traditional weight-normative models (see Ulian et al., 2018 for a systematic review). Studies that have compared weight-inclusive to weight-normative approaches show weight inclusive programs work just as well as (or better than) weightnormative approaches on both psychological and physiological health markers, and do not exacerbate disordered eating (e.g., Bacon et al., 2005;Mensinger, Calogero, Stranges, & Tylka, 2016). ...
... It is possible that intuitive eating decreased disordered eating by diminishing psychological distress, but more investigation is needed. Overall, these findings contribute to the growing body of evidence suggesting weight-inclusive health promotion programs targeting internalized weight stigma and intuitive eating are beneficial for higher-weight women who are especially vulnerable to maladaptive eating patterns (Bacon et al., 2005;Mensinger, 2021). ...
Article
Research shows that individuals with a body mass index (BMI) over 30 have experienced an 11-fold increase in restrictive eating and a 7-fold increase in binge eating since the 1990s. Most health promotion programs for higher-weight individuals have not been developed with the high eating disorder risk for this population in mind. The purpose of current study was to test two hypothesized mechanisms underlying improvement in maladaptive eating patterns shown in a weight-inclusive health promotion program designed for women with BMIs at or above 30. Participants (N = 40) were primarily White (93 %), 30–45 years old (M = 39.83, SD = 4.34) with BMIs ranging from 30 to 45 kg/m2 (M = 37.42, SD = 3.58). Using the MEMORE macro, we tested a parallel mediation model hypothesizing that internalized weight stigma and intuitive eating would explain improvements on two subscales from the Three-Factor Eating Questionnaire-R18 after a 6-month program. Total effects of the program on uncontrolled (b = −3.76, SE = 0.64, p < .0001) and emotional eating (b = −1.79, SE = 0.34, p < .0001) were significant. The indirect effects (IE) of internalized weight stigma on uncontrolled eating (IE = 1.59, SE = 0.79, 95 % CI = 0.46, 3.49) and emotional eating (IE = 0.67, SE = 0.40, 95 % CI = 0.11, 1.68) were also significant. Likewise, the IEs of intuitive eating on uncontrolled eating (IE = 2.09, SE = 0.70, 95 % CI = 0.60, 3.38) and emotional eating (IE = 1.03, SE = 0.43, 95 % CI = 0.08, 1.82) were significant. These findings indicate that weight-inclusive health promotion programs that directly address weight bias and eating according to cues from the body may help higher-weight individuals improve maladaptive eating patterns via reductions in internalized weight stigma and increases in intuitive eating.
... 35 Cross-sectional research on intuitive eating among both adults and adolescents indicates strong positive relationships with other protective constructs that have long been associated with physical and psychological health and well-being, such as body appreciation, satisfaction with life, levels of physical activity, and better cardiovascular health and dietary habits when compared with control groups. [36][37][38][39][40][41][42] Globally, research indicates that these constructs are generally related with lower body image dissatisfaction and disordered eating behaviour in adolescents. 41,43 Thus, in exploring positive aspects of health and well-being, IE might serve as a useful metric for understanding regulated eating behaviour. ...
... The research suggests there is a problematic connection between fatness and academic achievement, specifically among girls and women. Instead of solving a problem we do not yet truly understand with a solution that fails more than 95% of the time (Bacon and Aphramor 2011;Bacon et al. 2005;Fildes et al. 2015;Hunger, Smith, and Tomiyama 2020;Mann et al. 2007;Tomiyama et al. 2016;Tylka et al. 2014), it is critical to expand the research and explore the problem with a critical theoretical framework and eye toward equity in education. Fat girls and women deserve to pursue the best possible education to the best of their abilities in the bodies in which they currently exist. ...
... 76 In 6 randomized controlled HAES trials, no adverse effects, including weight gain, were identified, and notable improvements in behavioral, psychological, clinical, and physiological outcomes. 77,78 Targeted physician bias education programs and the implementation of HAES primary care clinics in areas of high-obesity prevalence may reduce weight and identity stigma with cooperative effects due to their intrinsic intersectionality. ...
... In a study conducted with university students to examine the relationship between intuitive eating and physical activity, it was reported that participants with high intuitive eating scores were more likely to engage in physical activity regularly for their own pleasure [22]. A positive relationship between intuitive eating and physical activity in a two-year follow-up study was reported [23]. In a review that aimed to examine the relationship between intuitive eating and health markers, it was argued that there is no strong relationship between intuitive eating and physical activity unless an intuitive eating intervention to improve health focuses on physical activity [6]. ...
Article
Full-text available
Objective Intuitive eating is an adaptive eating style that makes a strong connection with internal physiological manifestations of hunger and satiety. This study was conducted to evaluate the effects of intuitive eating on body appreciation, body mass index, and nutritional behaviors in adults. Methods Sample consisted of 497 individuals. Data were collected online. The questionnaire form included a general information and physical activity evaluation form, anthropometric measurements, Intuitive Eating Scale-2, Body Appreciation Scale-2, and food frequency questionnaire. Results A statistically significant relationship was found between body mass index and eating for physical rather than emotional reasons, reliance on internal hunger and satiety cues, body-food choice congruence subscale scores, and total scale score. There was a correlation between body appreciation and unconditional permission to eat, reliance on internal hunger and satiety cues, body-food choice congruence subscale scores, and total scale score. The number of physically active intuitive eaters was significantly higher than non-intuitive eaters. A significant correlation was found between intuitive eating scores and frequency of consumption of fish, cake, biscuit, chocolate, granulated sugar, honey, jam, molasses, pastries and dairy-based desserts, sunflower oil, margarine, and sugary, carbonated drinks. Conclusion Intuitive eating can be an effective tool in sustaining and controlling weight loss, and with more studies, it may be possible to further spread this practice Keywords Body dissatisfaction; Body mass index; Feeding behavior; Intuitive eating
Article
Full-text available
Introduction Intuitive eating (IE) is eating without judgment, relying only on physiological hunger and satiety. Sex differences in IE have been reported; however, none of the studies have explicitly examined IE and its relationship with body mass index (BMI) in the Saudi Arabian population. Thus, this study aimed to investigate sex differences in IE and its relationship with BMI in the Saudi population. Subjects/methods A cross-sectional online survey of 360 participants (18 years or older) with self-reported weight and height was conducted. IE was measured using the Intuitive Eating Scale-2 (IES-2). Separate multiple linear regression analyses were conducted to determine if total IE and its subscale scores differed across sexes. It was also conducted to assess the relationship between IE and BMI across sexes. Results Women had higher total IE score, eating for physical rather than emotional reasons (EPR), and body-food choice congruence (BFCC) scores compared to men ( p = 0.013, p = 0.01, p <0.001, respectively). The analysis showed a significant negative association between total IE, BFCC, EPR scores, and BMI in women compared to men ( p = 0.023, p = 0.01, p = 0.003, respectively). Conclusion The data on the sex differences in IE and its subscales and their different association with BMI encourage tailing nutrition-related recommendations in the context of intuitive eating based on sexes. Future studies are needed to explore how intuitive eating functions differently in women compared to men and explore the causal relationship between IE and BMI in this population.
Article
Background: Intuitive eating, which involves following internal cues of hunger and satiety to guide eating choices, would be better understood if studied at the individual momentary level instead of globally or cross-sectionally. The current study employed ecological momentary assessment (EMA) to examine the ecological validity of a popular intuitive eating measure, the Intuitive Eating Scale (IES-2). Method: College males and females completed a baseline assessment of trait levels of intuitive eating as measured by the IES-2. Participants then followed a seven-day EMA protocol where they completed brief smart phone assessments about intuitive eating and related constructs while in their natural daily environments. Participants were asked to complete recordings before and after eating about their state level of intuitive eating at that moment. Results: Among 104 participants, 87.5% were female, mean age was 24.3, and mean BMI was 26.3. Baseline trait level intuitive eating was significantly correlated with state level intuitive eating reported across EMA recordings, with some evidence suggesting that correlations were stronger before eating compared to after eating. Intuitive eating generally was related to less negative affect, fewer eating restrictions, and more anticipated taste enjoyment before eating, as well as less guilt and regret after eating. Discussion: Individuals who reported high trait levels of intuitive eating also reported following their internal cues for hunger and satiety and had less guilt, regret, and negative affect surrounding eating in their naturalistic environments, thereby supporting the ecological validity of the IES-2.
Article
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Designed a self-report measure of behavioral tendencies that frequently accompany body-image disturbance. The 19-item questionnaire dealt with avoidance of situations that provoke concern about physical appearance, such as avoidance of tight-fitting clothes, social outings, and physical intimacy. The body image avoidance questionnaire had adequate internal consistency and test–retest reliability. The measure correlated highly with negative attitudes about weight and shape and with perceptual distortion of size. It distinguished women with bulimia nervosa from controls, was sensitive to change following treatment for severe body-image disturbance, and agreed with external raters. Norms for the measure and the factor structure are also provided. Although body-image disturbance is traditionally viewed as perceptual distortion of body size and negative attitudes about weight and shape, it is recommended that a multidimensional assessment also include attention to behavioral tendencies. (PsycINFO Database Record (c) 2012 APA, all rights reserved)