Rising obesity rates in the past several decades have been paralleled with increasing evidence of bias, stigma, and discrimination toward individuals with obesity (1). Weight discrimination is commonly reported by Americans (2) at rates comparable to those of racial discrimination (especially in women) (2,3) and has increased in recent decades (4). Individuals with obesity are vulnerable to stigma and unfair treatment from multiple sources, including inequities in employment settings, educational institutions, and health care facilities, as well as in the broader society and the mass media (1), all of which can lead to negative consequences for their psychological and physical health. Several decades of evidence demonstrate consistent weight bias expressed by health care providers (HCPs), which can impair quality of care to patients with obesity and diabetes. In this brief review, we summarize evidence in these areas, discuss the importance of addressing weight bias in clinical care for patients with obesity and diabetes, and highlight the need for increased awareness of this form of bias in diabetes management.

Being the target of weight bias and discrimination can lead to numerous adverse health consequences affecting psychological, social, and physical health (Figure 1). Individuals who experience weight stigma have an increased risk for depression, anxiety, low self-esteem, poor body image, substance abuse, and suicidality (58). These outcomes remain even after controlling for variables such as BMI, obesity onset, sex, and age, suggesting that psychological consequences are not associated with obesity per se, but rather with experiences of weight stigmatization (9,10).

FIGURE 1.

Health consequences resulting from experiences of weight stigma.

FIGURE 1.

Health consequences resulting from experiences of weight stigma.

Close modal

Weight stigma also increases vulnerability to unhealthy behaviors that can contribute to weight gain and obesity (11), including increased likelihood of engaging in binge-eating behaviors, maladaptive weight control, disordered eating patterns, increased calorie intake (1116), avoidance of exercise, and lower motivation for physical activity (1719). Experimental studies have demonstrated increased calorie consumption after exposure to weight stigmatization among women with overweight or obesity compared to women at a lower body weight (15,20). These findings parallel self-report research showing that as many as 79% of women with obesity report eating food as a coping strategy to temper the distress of being stigmatized (21).

Emerging evidence has additionally demonstrated heighted physiological reactivity in response to experiences of weight stigmatization, including heightened cortisol reactivity, C-reactive protein, and blood pressure (22,23). This evidence has relevant implications for people with diabetes, especially given research showing that weight discrimination exacerbates the harmful effects of waist-to-hip ratio on glycemic control (indexed by A1C) (24).

Finally, recent longitudinal evidence has documented more direct links between perceived weight discrimination and obesity and weight gain. In a nationally representative study of >6,000 adults from the Health and Retirement Study, those who reported experiences of weight discrimination (but not other forms of discrimination) were 2.5–3 times more likely to develop obesity or maintain obesity through time compared to individuals with no experiences of weight discrimination, regardless of baseline BMI (25). In a similar study of 2,944 adults from the English Longitudinal Study of Aging, participants who reported experiencing weight discrimination had greater odds of developing obesity and increases in weight and waist circumference regardless of baseline BMI (26).

Taken together, this evidence indicates that weight stigma can impair quality of life through a range of health consequences, some of which may reinforce behaviors that contribute to obesity, interfere with weight and diabetes management, and ultimately increase risk of further weight gain over time. These findings highlight the need for increased awareness among medical providers treating people with obesity and diabetes about weight bias and its adverse health consequences.

Unfortunately, negative societal weight biases against people with obesity often are shared and expressed by HCPs. Weight bias has been demonstrated among primary care providers (PCPs), endocrinologists, cardiologists, nurses, dietitians, and medical trainees, including attitudes that patients with obesity are lazy, lack self-control and willpower, personally to blame for their weight, noncompliant with treatment, and deserving targets of derogatory humor (2733). A recent study of 2,284 physicians found that weight bias is as pervasive among medical doctors as it is in the general public (31). Other research shows that women with obesity view physicians as one of the most frequent sources of weight bias that they encounter in their lives (21). Some of these negative weight biases appear to have worsened rather than improved over time, even among professionals who specialize in obesity (34).

Given these findings, it is perhaps not surprising that some people with obesity have reported a lack of empathy from HCPs, feeling blamed for their weight, upset by comments that HCPs make about their weight, and reluctant to discuss their weight concerns in light of previous negative experiences (3538). People with obesity have reported negative weight-related judgments from PCPs and maternity care providers and perceive disparities in provider communication quality, especially among people of ethnic minority status (3739).

Emerging research also has begun to examine weight stigmatization experienced by people with diabetes, with attention to the overlap between stereotypes common to both obesity and type 2 diabetes stigma (40), such as being blamed for causing their condition (41). This has led to concerns that HCPs’ weight biases may interfere with effective diabetes management for their patients and has stimulated calls to reduce weight bias among HCPs to provide an optimal medical environment conducive to diabetes management (42). These calls seem particularly warranted given the evidence regarding weight bias in health care and the fact that clinical guidelines for diabetes treatment are increasingly emphasizing body weight and obesity in diagnostic and treatment approaches (43). Furthermore, the American Diabetes Association’s Standards of Medical Care in Diabetes—2015 emphasize patient-centered approaches to weight management for patients with diabetes and highlight the importance of advocating for these patients given the adverse consequences that obesity can impose on their health (44). Thus, recognition of the need to address body weight in diabetes management and support patients in adopting healthy lifestyle behaviors underscores the importance of taking steps to reduce weight bias in diabetes care.

The importance of addressing weight bias in clinical care is further highlighted by evidence that weight bias by HCPs can impair quality of health care for patients. Evidence suggests that HCPs spend less time in appointments (45), provide less education about health (46), and are more reluctant to perform certain screenings with patients who have obesity compared to thinner patients (47). Furthermore, some physicians view patients with obesity as less adherent to medications (28), express less desire to help these patients, and report that treating obesity is “more annoying” and a greater waste of their time compared to providing care to their thinner patients (45). In addition, perceived weight bias in the health care setting contributes to reduced health care utilization among patients with obesity, especially for women (35,48,49).

HCPs’ weight biases may contribute to negative outcomes for patients with obesity and diabetes through several mechanisms. First, extensive evidence suggests that implicit and explicit beliefs about groups that are stigmatized can negatively affect interpersonal behavior and patient-centered communication with patients who are members of those groups (5053). This may explain the finding that encounters with patients with obesity include less rapport and relationship-building talk (54,55). A common stereotype of patients with obesity is that they are undisciplined and nonadherent (1,28,56,57), especially with regard to weight loss recommendations. Providers have been shown to use less patient-centered language with patients they perceive as nonadherent (58). Thus, the expectation that patients will not comply with advice to lose weight may reduce the quality of counseling. The potential impact of this impaired communication is concerning given strong evidence that less patient-centered care predicts lower patient adherence, less patient-provider trust, and worse patient outcomes (54,5961). In one study, individuals with obesity who were counseled to lose weight were more successful when they reported their physicians did not come across as judgmental when discussing weight (62).

Weight bias can also affect care for people with diabetes through stress responses. Physicians’ implicit bias has been shown to predict lower patient satisfaction with care (63). Several studies have shown that feeling stigmatized causes a stress response (64,65) that may have immediate and long-term effects on people with obesity. First, physicians whose behavior is influenced by weight bias may trigger a “stereotype threat response” from patients, which occurs when individuals are aware that they are perceived stereotypically, triggering an immediate stress response. This response lowers cognitive capacity and impairs the abilities to communicate effectively and to learn and retain new information (66,67). Longer-term effects of stigmatization in health care include the cumulative effects of stress on health (68,69) and avoidance of follow-up care, which is linked to poor outcomes in diabetes. In addition, there is evidence that the experience of weight bias is associated with poorer weight loss outcomes, possibly resulting from both the stress response and coping behaviors (7073).

Addressing weight bias in clinical practice is challenging because it is pervasive and more socially acceptable than other types of bias (32,74). Thus, weight bias is frequently explicit (consciously and deliberately expressed), as well as implicit (at the unconscious level and involuntarily formed). Explicit and implicit weight bias are only moderately correlated (75,76), and strategies to address them may be more suitable for one or the other.

Interventions that have reduced explicit weight bias include education that emphasizes the complex causes of obesity, including genetic, metabolic, and social factors (77,78). Many providers support the energy balance model of weight gain and loss almost exclusively (56,79), which can limit the scope of the counseling they give patients and may contribute to beliefs that obesity is simply an issue of personal responsibility. For example, presenting medical trainees with information about contributing factors of obesity outside of personal control (e.g., biological and genetic factors) have demonstrated reductions in negative weight bias (57,8082) and improved self-efficacy for counseling patients with obesity (83). These approaches have demonstrated success in different delivery formats (e.g., educational films, lectures, written materials, and simulated interactions with virtual patients), indicating that this strategy can be feasibly included in health-related curriculums and clinical training settings.

Interventions that focus on reducing implicit weight bias include making providers aware of the evidence that implicit, unconscious attitudes influence the quality of the care they provide to develop motivation to address implicit bias. One strategy is exposure to counterstereotypical exemplars of people who have obesity. Counterstereotypical traits include success and intelligence. Exposure to individuals who defy stereotypes and rejecting media portrayals and public health messages depicting individuals who behave in ways consistent with group stereotypes can reduce implicit bias (84). Implicit biases are most likely to influence behavior when providers are cognitively taxed and do not have the energy or time to process patient information deliberately. Therefore, strategies to reduce implicit bias aim to maintain focus and clarity by learning and practicing emotion regulation and stress-reducing techniques such as deep breathing, which may free HCPs’ cognitive resources to approach patients as individuals rather than relying on group stereotypes to guide counseling (85,86).

Beyond these approaches, several other bias reduction strategies may influence both explicit and implicit forms of weight bias. For example, contact theory stipulates that having shared experiences with members of stigmatized groups reduces bias against that group if those interactions are positive, include the exchange of information and thoughts, and focus on shared goals (8790). Positive contact with patients or peers with obesity during medical school has been shown to reduce implicit and explicit weight bias in medical trainees (91). The effect of positive contact on bias is partially mediated by increased empathy (92), which has been linked to bias reduction (93,94). One strategy to build empathy is perspective-taking, through which participants imagine themselves as a member of a stigmatized group and write about their experiences. Evidence of the effects of empathy-focused interventions on weight bias has been limited (95) or mixed (96,97), and more work is needed to determine whether empathy induction is an effective approach to reduce weight stigma.

Another strategy involves altering a clinic’s normative beliefs about and expectations of how to behave toward patients with obesity (98). For example, adopting a zero-tolerance policy for clinic staff’s use of derogatory language about patients with obesity may be beneficial (99). Derogatory comments or humor occur frequently in some institutions (100), and overhearing this language predicts increases in bias in medical trainees (91). Thus, adopting policies for more respectful language toward patients with obesity may help to shift otherwise common weight bias expressed in the clinical care environment (27,100). To this end, there have been increasing calls by health experts and medical organizations for the use of “people-first language” in the context of obesity, with the aim of treating patients with obesity with respect, as individuals, rather than labeling them by their disease (101,102).

Finally, training and practice in patient-centered communication strategies such as motivational interviewing may help reduce the impact of implicit bias on quality of communication. Preliminary evidence indicates that training providers in communication skills addressing language to discuss obesity, recognition of stigma, and increased empathy can facilitate improved counseling skills among medical trainees (83).

Weight bias has received increasing attention as a clinical concern for people with obesity. Three factors provide ample justification for the need to address this problem in diabetes care: the prevalence of this form of bias expressed by HCPs, the adverse consequences that stigmatizing experiences pose for health and health care quality for patients, and the increasing emphasis on body weight and obesity in diagnostic and treatment approaches to diabetes. Provision of training and education about the complex causes of obesity, implementation of respectful language when discussing body weight with patients, and concerted efforts to challenge negative weight-based stereotypes in the clinical care setting can all help to shift the medical culture from one that often shames and stigmatizes patients because of their weight to one that supports and empowers patients with obesity and diabetes in their efforts to improve their health.

No potential conflicts of interest relevant to this article were reported.

1.
Puhl
RM
,
Heuer
CA
.
The stigma of obesity: a review and update
.
Obesity
2009
;
17
:
941
964
2.
Puhl
RM
,
Andreyeva
T
,
Brownell
KD
.
Perceptions of weight discrimination: prevalence and comparison to race and gender discrimination in America
.
Int J Obes
2008
;
32
:
992
1000
3.
Roehling
MV
,
Roehling
PV
,
Pichler
S
.
The relationship between body weight and perceived weight-related employment discrimination: the role of sex and race
.
J Vocat Behav
2007
;
71
:
300
318
4.
Andreyeva
T
,
Puhl
RM
,
Brownell
KD
.
Changes in perceived weight discrimination among Americans: 1995–1996 through 2004–2006
.
Obesity
2008
;
16
:
1129
1134
5.
Hatzenbuehler
ML
,
Keyes
KM
,
Hasin
DS
.
Associations between perceived weight discrimination and the prevalence of psychiatric disorders in the general population
.
Obesity
2009
;
17
:
2033
2039
6.
Bucchianeri
MM
,
Eisenberg
ME
,
Wall
MM
,
Piran
N
,
Neumark-Sztainer
D
.
Multiple types of harassment: associations with emotional well-being and unhealthy behaviors in adolescents
.
J Adolesc Health
2014
;
54
:
724
729
7.
Friedman
KE
,
Reichmann
SK
,
Costanzo
PR
,
Zelli
A
,
Ashmore
JA
,
Musante
GJ
.
Weight stigmatization and ideological beliefs: relation to psychological functioning in obese adults
.
Obes Res
2005
;
13
:
907
916
8.
Chen
EY
,
Bocchieri-Ricciardi
LE
,
Munoz
D
, et al
.
Depressed mood in class III obesity predicted by weight-related stigma
.
Obes Surg
2007
;
17
:
669
671
9.
Friedman
KE
,
Ashmore
JA
,
Applegate
KL
.
Recent experiences of weight-based stigmatization in a weight loss surgery population: psychological and behavioral correlates
.
Obesity
2008
;
16
(
Suppl. 2
):
S69
S74
10.
Rosenberger
PH
,
Henderson
KE
,
Bell
RL
,
Grilo
CM
.
Associations of weight-based teasing history and current eating disorder features and psychological functioning in bariatric surgery patients
.
Obes Surg
2007
;
17
:
470
477
11.
Puhl
R
,
Suh
Y
.
Health consequences of weight stigma: implications for obesity prevention and treatment
.
Curr Obes Rep
2015
: 
4
;
182
190
12.
Almeida
L
,
Savoy
S
,
Boxer
P
.
The role of weight stigmatization in cumulative risk for binge eating
.
J Clin Psychol
2011
;
67
:
278
292
13.
Durso
LE
,
Latner
JD
,
Hayashi
K
.
Perceived discrimination is associated with binge eating in a community sample of non-overweight, overweight, and obese adults
.
Obesity Facts
2012
;
5
:
869
880
14.
Durso
LE
,
Latner
JD
,
White
MA
, et al
.
Internalized weight bias in obese patients with binge eating disorder: associations with eating disturbances and psychological functioning
.
Int J Eat Disord
2012
;
45
:
423
427
15.
Schvey
N
,
Puhl
RM
,
Brownell
KD
.
The impact of weight stigma on caloric consumption
.
Obesity
2011
;
19
:
1957
1962
16.
Puhl
R
,
Suh
Y
.
Stigma and eating and weight disorders
.
Curr Psychiatr Rep
2015
;
17
:
1
10
17.
Schmalz
DL
.
‘I feel fat’: weight-related stigma, body esteem, and BMI as predictors of perceived competence in physical activity
.
Obesity Facts
2010
;
3
:
15
21
18.
Vartanian
LR
,
Novak
SA
.
Internalized societal attitudes moderate the impact of weight stigma on avoidance of exercise
.
Obesity
2010
;
19
:
757
762
19.
Schvey
NA
,
Puhl
RM
,
Brownell
KD
.
The stress of stigma: exploring the effect of weight stigma on cortisol reactivity
.
Psychosom Med
2014
;
76
:
156
162
20.
Major
B
,
Hunger
JM
,
Bunyan
DP
,
Miller
CT
.
The ironic effects of weight stigma
.
J Exp Soc Psychol
2014
;
51
:
74
80
21.
Puhl
RM
,
Brownell
KD
.
Confronting and coping with weight stigma: an investigation of overweight and obese adults
.
Obesity
2006
;
14
:
1802
1815
22.
Sutin
AR
,
Stephan
Y
,
Luchetti
M
,
Terracciano
A
.
Perceived weight discrimination and C-reactive protein
.
Obesity
2014
;
22
:
1959
1961
23.
Tomiyama
AJ
,
Epel
ES
,
McClatchey
TM
, et al
.
Associations of weight stigma with cortisol and oxidative stress independent of adiposity
.
Health Psychol
2014
;
33
:
862
867
24.
Tsenkova
VK
,
Carr
D
,
Schoeller
DA
,
Ryff
CD
.
Perceived weight discrimination amplifies the link between central adiposity and nondiabetic glycemic control (HbA1c)
.
Ann Behav Med
2011
;
41
:
243
251
25.
Sutin
AR
,
Terracciano
A
.
Perceived weight discrimination and obesity
.
PLoS One
2013
;
8
:
e70048
26.
Jackson
SE
,
Beeken
RJ
,
Wardle
J
.
Perceived weight discrimination and changes in weight, waist circumference, and weight status
.
Obesity
2014
;
22
:
2485
2488
27.
Wear
D
,
Aultman
JM
,
Varley
JD
,
Zarconi
J
.
Making fun of patients: medical students’ perceptions and use of derogatory and cynical humor in clinical settings
.
Acad Med
2006
;
81
:
454
462
28.
Huizinga
MM
,
Bleich
SN
,
Beach
MC
,
Clark
JM
,
Cooper
LA
.
Disparity in physician perception of patients’adherence to medications by obesity status
.
Obesity
2010
;
18
:
1932
1937
29.
Ferrante
JM
,
Piasecki
AK
,
Ohman-Strickland
PA
,
Crabtree
BF
.
Family physicians’ practices andd attitudes regarding care of extremely obeses patients
.
Obesity
2009
;
17
:
1710
1716
30.
Bocquier
A
,
Verger
P
,
Basdevant
A
, et al
.
Overweight and obesity: knowledge, attitudes, and practices of general practitioners in France
.
Obes Res
2005
;
13
:
787
795
31.
Sabin
JA
,
Marini
M
,
Nosek
BA
.
Implicit and explicit anti-fat bias among a large sample of medical doctors by BMI, race/ethnicity and gender
.
PLoS One
2012
;
7
:
e48448
32.
Phelan
SM
,
Dovidio
JF
,
Puhl
RM
, et al
.
Implicit and explicit weight bias in a national sample of 4,732 medical students: the Medical Student CHANGES study
.
Obesity (Silver Spring)
2014
;
22
:
1201
1208
33.
Glauser
TA
,
Roepke
N
,
Stevenin
B
,
Dubois
AM
,
Ahn
SM
.
Physician knowledge about and perceptions of obesity management
.
Obes Res Clin Pract. Epub ahead of print on 21 March 2015 (DOI: 10.1016/j.orcp.2015.02.011)
34.
Tomiyama
AJ
,
Finch
LE
,
Incollingo Belsky
AC
, et al
.
Weight bias in 2001 versus 2013: contradictory attitudes among obesity researchers and health professionals
.
Obesity (Silver Spring)
2015
;
23
:
46
53
35.
Amy
NK
,
Aalborg
A
,
Lyons
P
,
Keranen
L
.
Barriers to routine gynecological cancer screening for white and African-American obese women
.
Int J Obes
2006
;
30
:
147
155
36.
Brown
I
,
Thompson
J
,
Tod
A
,
Jones
G
.
Primary care support for tackling obesity: a qualitative study of the perceptions of obese patients
.
Br J Gen Pract
2006
;
56
:
666
672
37.
Gudzune
KA
,
Bennett
WL
,
Cooper
LA
,
Bleich
SN
.
Patients who feel judged about their weight have lower trust in their primary care providers
.
Patient Educ Couns
2014
;
97
:
128
131
38.
Mulherin
K
,
Miller
YD
,
Barlow
FK
,
Diedrichs
PC
,
Thompson
R
.
Weight stigma in maternity care: women’s experiences and care providers’ attitudes
.
BMC Pregnancy Childbirth
2013
;
13
:
19
39.
Wong
M
,
Gudzune
KA
,
Bleich
SN
.
Provider communication quality: influence of patients’ weight and race
.
Patient Educ Couns
2015
;
98
:
492
498
40.
Cameron
E
,
O’Reilly
C
.
Sizing up stigma: weighing in on the issues and solutions to type 2 diabetes and obesity stigma
.
Biochem Cell Biol
2015
;
93
:
430
437
41.
Browne
JL
,
Ventura
A
,
Mosely
K
,
Speight
J
.
‘I call it the blame and shame disease’: a qualitative study about perceptions of social stigma surrounding type 2 diabetes
.
BMJ Open
2013
;
3
:
e003384
42.
Teixeira
ME
,
Budd
GM
.
Obesity stigma: a newly recognized barrier to comprehensive and effective type 2 diabetes management
.
J Am Acad Nurse Pract
2009
;
22
:
527
533
43.
Garvey
T
,
Mechanick
J
,
Einhorn
D
.
2014
advanced framework for a new diagnosis of obesity as a chronic disease
.
Jacksonville
,
Fla.
,
American Association of Clinical Endocrinologists and American College of Endocrinology, 2014
p.
1
23
44.
American Diabetes Association
.
Strategies for Improving Care. Sec. 1 in Standards of Medical Care in Diabetes—2015
.
Diabetes Care
2015
;
38
(
Suppl. 1
):
S5
S7
45.
Hebl
MR
,
Xu
J
,
Mason
MF
.
Weighing the care: patients’ perceptions of physician care as a function of gender and weight
.
Int J Obes
2003
;
27
:
269
275
46.
Bertakis
KD
,
Azari
R
.
The impact of obesity on primary care visits
.
Obes Res
2005
;
13
:
1615
1622
47.
Adams
CH
,
Smith
NJ
,
Wilbur
DC
,
Grady
KE
.
The relationship of obesity to the frequency of pelvic examinations: do physician and patient attitudes make a difference?
Women Health
1993
;
20
:
45
57
48.
Puhl
RM
,
Peterson
JL
,
Luedicke
J
.
Parental perceptions of weight terminology that providers use with youth
.
Pediatrics
2011
;
128
:
e786
e93
49.
Puhl
R
,
Peterson
JL
,
Luedicke
J
.
Motivating or stigmatizing? Public perceptions of weight-related language used by health providers
.
Int J Obes (Lond)
2013
;
37
:
612
619
50.
Gordon
HS
,
Street
RL
 Jr
,
Sharf
BF
,
Kelly
PA
,
Souchek
J
.
Racial differences in trust and lung cancer patients’ perceptions of physician communication
.
J Clin Oncol
2006
;
24
:
904
909
51.
Ghods
BK
,
Roter
DL
,
Ford
DE
,
Larson
S
,
Arbelaez
JJ
,
Cooper
LA
.
Patient-physician communication in the primary care visits of African Americans and whites with depression
.
J Gen Intern Med
2008
;
23
:
600
606
52.
Cene
CW
,
Roter
D
,
Carson
KA
,
Miller
ER
 3rd
,
Cooper
LA
.
The effect of patient race and blood pressure control on patient-physician communication
.
J Gen Intern Med
2009
;
24
:
1057
1064
53.
Johnson
RL
,
Roter
D
,
Powe
NR
,
Cooper
LA
.
Patient race/ethnicity and quality of patient-physician communication during medical visits
.
Am J Public Health
2004
;
94
:
2084
2090
54.
Gudzune
KA
,
Beach
MC
,
Roter
DL
,
Cooper
LA
.
Physicians build less rapport with obese patients
.
Obesity
2013
;
21
:
2146
2152
55.
Richard
P
,
Ferguson
C
,
Lara
AS
,
Leonard
J
,
Younis
M
.
Disparities in physician-patient communication by obesity status
.
Inquiry
2014
;
1
:
51
56.
Foster
GD
,
Wadden
TA
,
Makris
AP
, et al
.
Primary care physicians’ attitudes about obesity and its treatment
.
Obes Res
2003
;
11
:
1168
1177
57.
Persky
S
,
Eccleston
CP
.
Medical student bias and care recommendations for an obese versus non-obese virtual patient
.
Int J Obes (Lond)
2010
;
35
:
728
735
58.
Street
RL
 Jr
,
Gordon
H
,
Haidet
P
.
Physicians’ communication and perceptions of patients: is it how they look, how they talk, or is it just the doctor?
Soc Sci Med
2007
;
65
:
586
598
59.
Armstrong
MJ
,
Mottershead
TA
,
Ronksley
PE
,
Sigal
RJ
,
Campbell
TS
,
Hemmelgarn
BR
.
Motivational interviewing to improve weight loss in overweight and/or obese patients: a systematic review and meta-analysis of randomized controlled trials
.
Obes Rev
2011
;
12
:
709
723
60.
Zolnierek
KB
,
Dimatteo
MR
.
Physician communication and patient adherence to treatment: a meta-analysis
.
Med Care
2009
;
47
:
826
834
61.
Stewart
M
,
Brown
JB
,
Donner
A
, et al
.
The impact of patient-centered care on outcomes
.
J Fam Pract
2000
;
49
:
796
804
62.
Gudzune
KA
,
Bennett
WL
,
Cooper
LA
,
Bleich
SN
.
Perceived judgment about weight can negatively influence weight loss: a cross-sectional study of overweight and obese patients
.
Prev Med
2014
;
62
:
103
107
63.
Penner
LA
,
Dovidio
JF
,
West
TV
, et al
.
Aversive racism and medical interactions with black patients: a field study
.
J Exp Soc Psychol
2010
;
46
:
436
440
64.
Hatzenbuehler
ML
.
How does sexual minority stigma “get under the skin”? A psychological mediation framework
.
Psychol Bull
2009
;
135
:
707
730
65.
Link
BG
,
Phelan
JC
.
Stigma and its public health implications
.
Lancet
2006
;
367
:
528
529
66.
Schmader
T
,
Johns
M
,
Forbes
C
.
An integrated process model of stereotype threat effects on performance
.
Psychol Rev
2008
;
115
:
336
356
67.
Burgess
DJ
,
Warren
J
,
Phelan
S
,
Dovidio
J
,
van Ryn
M
.
Stereotype threat and health disparities: what medical educators and future physicians need to know
.
J Gen Intern Med
2010
;
25
(
Suppl. 2
):
S169
S177
68.
Chandola
T
,
Brunner
E
,
Marmot
M
.
Chronic stress at work and the metabolic syndrome: prospective study
.
BMJ
2006
;
332
:
521
525
69.
DeLongis
A
,
Folkman
S
,
Lazarus
RS
.
The impact of daily stress on health and mood: psychological and social resources as mediators
.
J Pers Soc Psychol
1988
;
54
:
486
495
70.
Wott
CB
,
Carels
RA
.
Overt weight stigma, psychological distress and weight loss treatment outcomes
.
J Health Psychol
2010
;
15
:
608
614
71.
Carels
RA
,
Hinman
NG
,
Hoffmann
DA
.
Implicit bias about weight and weight loss treatment outcomes
.
Eat Behav
2014
;
15
:
648
653
72.
Carels
RA
,
Young
KM
,
Wott
CB
, et al
.
Weight bias and weight loss treatment outcomes in treatment-seeking adults
.
Ann Behav Med
2009
;
37
:
350
355
73.
Tomiyama
AJ
,
Schamarek
I
,
Lustig
RH
, et al
.
Leptin concentrations in response to acute stress predict subsequent intake of comfort foods
.
Physiol Behav
2012
;
107
:
34
39
74.
Latner
JD
,
O’Brien
KS
,
Durso
LE
,
Brinkman
LA
,
MacDonald
T
.
Weighing obesity stigma: the relative strength of different forms of bias
.
Int J Obes
2008
;
32
:
1145
1152
75.
Hofmann
W
,
Gawronski
B
,
Gschwendner
T
,
Le
H
,
Schmitt
M
.
A meta-analysis on the correlation between the implicit association test and explicit self-report measures
.
Pers Soc Psychol Bull
2005
;
31
:
1369
1385
76.
Greenwald
AG
,
Poehlman
TA
,
Uhlmann
EL
,
Banaji
MR
.
Understanding and using the Implicit Association Test: III. Meta-analysis of predictive validity
.
J Pers Soc Psychol
2009
;
97
:
17
41
77.
Wright
SM
,
Aronne
LJ
.
Causes of obesity
.
Abdom Imaging
2012
;
37
:
730
732
78.
Keith
SW
,
Redden
DT
,
Katzmarzyk
PT
, et al
.
Putative contributors to the secular increase in obesity: exploring the roads less traveled
.
Int J Obes
2006
;
30
:
1585
1594
79.
Phelan
SM
,
Burgess
D
,
Burke
SE
, et al
.
Beliefs about the causes of obesity in a national sample of 4th year medical students
.
Patient Educ Couns
2015
;
98
:
1446
1449
80.
O’Brien
KS
,
Puhl
RM
,
Latner
JD
,
Mir
AS
,
Hunter
JA
.
Reducing anti-fat prejudice in preservice health students: a randomized trial
.
Obesity (Silver Spring)
2010
;
18
:
2138
2144
81.
Swift
JA
,
Tischler
V
,
Markham
S
, et al
.
Are anti-stigma films a useful strategy for reducing weight bias among trainee healthcare professionals? Results of a pilot randomized control trial
.
Obesity Facts
2013
;
6
:
91
102
82.
Wiese
HJ
,
Wilson
JF
,
Jones
RA
,
Neises
M
.
Obesity stigma reduction in medical students
.
Int J Obes
1992
;
16
:
859
868
83.
Kushner
RF
,
Zeiss
DM
,
Feinglass
JM
,
Yelen
M
.
An obesity educational intervention for medical students addressing weight bias and communication skills using standardized patients
.
BMC Med Educ
2014
;
14
:
53
84.
Ramasubramanian
S
.
The impact of stereotypical versus counterstereotypical media exemplars on racial attitudes, causal attributions, and support for affirmative action
.
Communic Res
2011
;
38
:
497
516
85.
Lillis
J
,
Hayes
SC
.
Applying acceptance, mindfulness, and values to the reduction of prejudice: a pilot study
.
Behav Modif
2007
;
31
:
389
411
86.
Kemeny
ME
,
Foltz
C
,
Cavanagh
JF
, et al
.
Contemplative/emotion training reduces negative emotional behavior and promotes prosocial responses
.
Emotion
2012
;
12
:
338
350
87.
Pettigrew
TF
,
Tropp
LR
.
A meta-analytic test of intergroup contact theory
.
J Pers Soc Psychol
2006
;
90
:
751
783
88.
Pettigrew
T
,
Tropp
L
,
Wagner
U
,
Christ
O
.
Recent advances in intergroup contact theory
.
Int J Intercult Relat
2011
;
35
:
271
280
89.
Pettigrew
TF
,
Tropp
LR
.
How does intergroup contact reduce prejudice? Meta-analytic tests of three mediators
.
Eur J Soc Psychol
2008
;
38
:
922
934
90.
Turner
RN
,
Hewstone
M
,
Voci
A
.
Reducing explicit and implicit outgroup prejudice via direct and extended contact: the mediating role of self-disclosure and intergroup anxiety
.
J Pers Soc Psychol
2007
;
93
:
369
388
91.
Phelan
SM
,
Puhl
RM
,
Burke
SE
, et al
.
The mixed impact of medical school on medical students’ implicit and explicit weight bias
.
Med Educ
2015
;
49
:
983
992
92.
Dovidio
JF
,
Gaertner
SL
,
Kawakami
K
.
Intergroup contact: the past, present, and future
.
Group Process Intergroup Relat
2003
;
6
:
5
21
93.
Batson
CD
,
Lishner
DA
,
Carpenter
A
, et al
.
“… As you would have them do unto you”: does imagining yourself in the other’s place stimulate moral action?
Pers Soc Psychol Bull
2003
;
29
:
1190
1201
94.
Burke
SE
,
Dovidio
JF
,
Przedworski
JM
, et al
.
Do contact and empathy mitigate bias against gay and lesbian people among heterosexual first-year medical students? A report from the Medical Student CHANGE Study
.
Acad Med
2015
;
90
:
645
651
95.
Lee
M
,
Ata
RN
,
Brannick
MT
.
Malleability of weight-biased attitudes and beliefs: a meta-analysis of weight bias reduction interventions
.
Body Image
2014
;
11
:
251
259
96.
Puhl
R
,
Brownell
K
.
Psychosocial origins of obesity stigma: toward changing a powerful and pervasive bias
.
Obes Rev
2003
;
4
:
213
227
97.
Danielsdottir
S
,
O’Brien
KS
,
Ciao
A
.
Anti-fat prejudice reduction: a review of published studies
.
Obesity Facts
2010
;
3
:
47
58
98.
Puhl
RM
,
Schwartz
MB
,
Brownell
KD
.
Impact of perceived consensus on stereotypes about obese people: a new approach for reducing bias
.
Health Psychol
2005
;
24
:
517
525
99.
Phelan
SM
,
Burgess
DJ
,
Yeazel
MW
, et al
.
Impact of weight bias and stigma on quality of care and outcomes for patients with obesity
.
Obes Rev
2015
;
16
:
319
326
100.
Puhl
RM
,
Luedicke
J
,
Grilo
CM
.
Obesity bias in training: attitudes, beliefs, and observations among advanced trainees in professional health disciplines
.
Obesity
2014
;
22
:
1008
1015
101.
Kyle
TK
,
Puhl
RM
.
Putting people first in obesity
.
Obesity
2014
;
22
:
1211
102.
Dietz
WH
.
The need for people-first language in our obesity journal
.
Obesity
2015
;
23
:
917
Readers may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered. See http://creativecommons.org/licenses/by-nc-nd/3.0 for details.