The impact of weight-related stigmatization on physiological and psychological health outcomes for overweight and obese individuals.

Abstract

The purpose of this study was to review the associations between weight-related stigmatization and physiological and psychological health outcomes for overweight and obese individuals.

Full text

REVIEW PAPER
Impact of weight stigma on physiological and psychological
health outcomes for overweight and obese adults:
A systematic review
Ya-Ke Wu
|
Diane C. Berry
School of Nursing, The University of North
Carolina at Chapel Hill, Chapel Hill, NC,
USA
Correspondence
Ya-Ke Wu, School of Nursing, The
University of North Carolina at Chapel Hill,
Chapel Hill, NC, USA.
Email: yakew@email.unc.edu
Funding information
This research received no specific grant from
any funding agency in the public,
commercial, or not-for-profit sectors
Abstract
Aim: To summarize the associations between weight stigma and physiological and
psychological health for individuals who are overweight or obese.
Background: Weight stigma can be defined as individuals experiencing verbal or
physical abuse secondary to being overweight or obese. Weight stigma has negative
consequences for both physiological and psychological health.
Design: A quantitative systematic review.
Data sources: PubMed, PsycINFO, CINAHL and MEDLINE from 1 January 2008 -
30 July 2016.
Review methods: A systematic review was conducted using the Cochrane Collabo-
ration guidelines, the PRISMA statement guidelines and the quality assessment from
the National Heart, Lung and Blood Institute. Inclusion criteria consisted of quantita-
tive studies that examined the associations between weight stigma and physiological
and psychological health outcomes in adults who were overweight or obese. Exclu-
sion criteria consisted of qualitative studies, literature reviews, expert opinions, edi-
torials and reports on weight stigma without health outcomes or with behavioural
outcomes and intervention studies that reduced weight stigma. A quality appraisal
of the selected studies was conducted.
Results: A total of 33 studies met the eligibility criteria. Weight stigma was posi-
tively associated with obesity, diabetes risk, cortisol level, oxidative stress level, C-
reactive protein level, eating disturbances, depression, anxiety, body image dissatis-
faction and negatively associated with self-esteem among overweight and obese
adults.
Conclusion: Weight stigma is associated with adverse physiological and psychologi-
cal outcomes. This conclusion highlights the need to increase public and professional
awareness about the issue of weight stigma and the importance of the further
development of assessment and prevention strategies of weight stigma.
KEYWORDS
adult, nursing, obesity, overweight, primary care, systematic review, weight stigma
Accepted: 2 November 2017
DOI: 10.1111/jan.13511
J Adv Nurs. 2017;1–13. wileyonlinelibrary.com/journal/jan ©2017 John Wiley & Sons Ltd
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1

1
|
INTRODUCTION
Many people believe that weight control is an issue of personal will-
power and those who hold this opinion may stigmatize individuals
for being overweight (Salsman, 2012). However, teasing and stigma-
tizing others because of their weight does not motivate them to lose
weight. Instead, the effect from the teasing or stigmatizing con-
tributes to many adverse health consequences, including future
weight gain (Puhl & Suh, 2015a). Weight stigma can be present in
educational, work and healthcare settings as well as the media and
can be perpetrated by family and friends (Levy & Pilver, 2012).
Approximately 154.7 million individuals aged 20 years and older are
overweight (body mass index [BMI] >25 kg/m
2
) or obese (BMI
>30 kg/m
2
) in the United States (Go et al., 2014). Twenty percent of
individuals who are overweight or obese experience weight stigma
in the United States and may experience stigmatization repeatedly
over their lifetimes (Levy & Pilver, 2012). It is imperative to change
the public’s view that teasing or stigmatizing individuals who are
overweight or obese does not encourage them to lose weight and
can create health problems. Before improving public knowledge,
healthcare providers need to understand the negative impact of
weight stigma on the health of individuals because the role of a
healthcare provider is not only in delivering treatments, but also to
be an informed educator and a passionate advocate. Healthcare pro-
viders serve the public through hospitals, clinics, communities and
school healthcare systems. Therefore, healthcare providers have
many opportunities to increase public awareness about weight
stigma by educating patients and their families and friends. The goal
of this review was to systematically review studies focused on
weight stigma and physical and psychological health outcomes. It is
hoped that the results of this review can provide healthcare provi-
ders with useful information for understanding the associations
between weight stigma and obesity on health and also identify gaps
for further research in the field of weight stigmatization.
2
|
BACKGROUND
Several formats of weight stigma have been observed and measured,
such as the experience of a weight stigma situation (Myers & Rosen,
1999), implicit weight bias (Rudolph & Hilbert, 2014), explicit weight
bias (Puhl, Schwartz, & Brownell, 2005) and internalized weight
stigma (Durso & Latner, 2008).
However, little is known about the associations between the dif-
ferent measures of weight stigma and physical and psychological
health outcomes for obese people. The definitions of different mea-
sures of weight stigma are summarized as follows. The experience of
a weight stigma situation can be defined as an overweight or obese
individual’s perception of negative attitudes (e.g. stigma, discrimina-
tion, prejudice, stereotypes) or inappropriate behaviours (e.g. teasing,
bullying, verbal and physical attacks and being treated unfairly) direc-
ted towards him or her because of his or her weight (Myers &
Rosen, 1999; Puhl & Heuer, 2009). The experience of weight stigma
can be quantified by using a self-report frequency measure, such as
the Stigmatizing Situations Inventory (Myers & Rosen, 1999).
The relationships between weight stigma experiences, implicit
weight bias and explicit weight bias are related (Myers & Rosen,
1999; Puhl et al., 2005; Rudolph & Hilbert, 2014). Implicit bias can
be defined as attitudes or stereotypes that affect an individual’s
understanding and actions in an unconscious manner (Dovidio,
Why is this review needed?
Weight stigmatization is a stressful experience and a
source of stress for individuals who are overweight or
obese.
Evidence showed that weight stigma cannot motivate
individuals to lose weight and increases the risk for
adverse health conditions.
A new review to summarize the evidence of weight
stigma was needed to increase public awareness about
this issue.
What are the key findings?
The most common measure for weight stigma was fre-
quency of experiencing weight stigma, followed by inter-
nalized weight stigma, implicit weight bias and explicit
weight bias.
The greater the weight stigma, the worse the physiologi-
cal health status of overweight and obese adults, regard-
less of the measures of weight stigma.
The greater the weight stigma, the greater the eating dis-
turbances, depressive symptoms, anxiety and body image
dissatisfaction and the lower the self-esteem of over-
weight and obese adults, regardless of the measures of
weight stigma.
How should the findings be used to influence
policy/practice/research/education?
These findings could raise the awareness of researchers,
clinicians and the public regarding the negative effects
that weight stigma may have on individuals who are
overweight or obese.
Healthcare providers should routinely assess for weight
stigma among individuals in their practice who are over-
weight or obese by initiating a conversation that gives
individuals permission to share their stories with the pro-
vider.
Future research is needed on the long-term impact of
weight stigma on physical and psychological health as
well as to further develop assessment tools and preven-
tion strategies to prevent weight stigma.
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WU AND BERRY

Kawakami, & Gaertner, 2002; Rudolph & Hilbert, 2014). Implicit
weight bias represents the weight bias evaluations that people are
unwilling to report and it can be measured using performance-based
measures, such as the Implicit Associations Test (Greenwald,
McGhee, & Schwartz, 1998; Schwartz, Vartanian, Nosek, & Brownell,
2006).
Explicit bias can be defined as intentional and conscious (Puhl
et al., 2005; Wilson, Lindsey, & Schooler, 2000). Explicit weight bias
is a consciously stereotypical attitude, often represented by discrimi-
nation and prejudice, against the overweight and obese (Puhl et al.,
2005; Wilson et al., 2000). Explicit weight bias can be obtained using
self-report measures, such as the Obese Persons Trait Survey, but
results may be affected by social desirability concerns (Puhl et al.,
2005; Schwartz et al., 2006).
Internalized weight stigma is different from body image and is a
measure of an individual’s belief in stereotypes relating to negative
self-evaluations (Durso & Latner, 2008). Internalized weight stigma
also is a type of self-stigma among overweight and obese individuals
and it can be ascertained using self-report measures, such as the
Weight Bias Internalization Scale (Durso & Latner, 2008).
The influence of weight stigma on the physical health of individ-
uals who are overweight or obese has been previously reviewed as
follows. Papadopoulos and Brennan (2015) found that relationships
were noted between weight stigma, BMI and difficulty losing weight
in adults. In addition, weight stigma was related to poor medication
adherence and weight and health-related quality of life (Papadopou-
los & Brennan, 2015). Several reviews also documented that adults
and children experiencing weight stigma exercised less were less
motivated to exercise, had lower self-efficacy and tended to overeat
(Papadopoulos & Brennan, 2015; Vartanian & Smyth, 2013). The
effects of weight stigma on psychological health have also been
reviewed. Across reviews, weight stigma has been associated with
anxiety, depression, low self-esteem, substance abuse, binge eating
disorders, bulimia nervosa and anorexia nervosa (Papadopoulos &
Brennan, 2015; Puhl & Suh, 2015a,b).
These reviews provided information about the problem of weight
stigma in individuals who are overweight or obese but lacked a clear
focus on the associations between different measures of weight
stigma and its physical and psychological effects. Therefore, the pur-
pose of this review was to summarize the current literature with a
quality appraisal of studies selected for associations between differ-
ent measures of weight stigma and measures of physical and psy-
chological health in overweight and obese adults.
3
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THE REVIEW
3.1
|
Aims
The aims of this systematic literature review were (1) to identify the
types of measures for weight stigma in overweight and obese adults;
(2) to summarize associations between different measures of weight
stigma and physiological health outcomes in overweight and obese
adults; and (3) to summarize associations between different
measures of weight stigma and psychological health outcomes in
overweight and obese adults. The research questions are as follows:
(1) what types of measures of weight stigma are being used for
adults with overweight and obesity in the current literature? (2)
What is the association between different measures of weight
stigma and physiological and psychological health outcomes in adults
with overweight and obesity in the current literature?
3.2
|
Design
The suggestions from the Cochrane Handbook (version 5.1.0) (Hig-
gins & Green, 2011) were followed to define the review questions
and to develop criteria for including studies and the Preferred
Reporting Items for Systematic Reviews and Meta-Analyses: the
PRISMA statement guidelines (Moher, Liberati, Tetzlaff, & Altman,
2009) were used to present the search processes. We modified a
Summary of Findings table from the Cochrane Effective Practice and
Organisation of Care worksheets to present the summary of our
findings in Table 1 (Cochrane Effective Practice and Organisation of
Care 2017b).
3.3
|
Search methods
PubMed, MEDLINE, PsycINFO and CINAHL were searched to iden-
tify studies published in English from 1 January 2008 to 30 July
2016. The following search terms were used: social stigma, discrimi-
nation, social discrimination, prejudice, bias, weight, body weight,
overweight, obesity, weight stigma, stigma and stigmatization
(Table S1). Reference lists of the studies were also searched to
ensure a complete collection of study results. Inclusion criteria con-
sisted of quantitative studies that examined the associations
between weight stigma and physiological and psychological health
outcomes for adults (18 years and older) who were overweight (BMI
>25 kg/m
2
) or obese (BMI >30 kg/m
2
). No upper age limit was stip-
ulated in this review because weight stigma can happen in all age
groups. Qualitative research, literature reviews, expert opinions, edi-
torials, reports on weight stigma without health outcomes or with
behaviour outcomes such as exercise avoidance and intervention
studies for reducing weight stigma were excluded because the focus
of those articles does not include examining the relationships
between weight stigma and physiological and psychological health
outcomes.
Before the full-text review, two researchers worked indepen-
dently and undertook duplicate screening of title-abstract records.
Based on the inclusion and exclusion criteria, titles and abstracts
were screened to identify studies of likely relevance and the screen-
ing excluded articles with improper topics and abstracts. Full-text
articles were then screened by the two independent reviewers.
3.4
|
Search outcome
The search of the present review yielded 877 studies with 296
duplicate studies; 581 studies remained after duplicates were
WU AND BERRY
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3

TABLE 1 Brief of included studies
Author/s (year) Location Study design N
Weight stigma measure used/manipulated
weight stigma
Ashmore et al. (2008) US Cross-sectional 93 Stigmatizing Situations Inventory
Friedman et al. (2008) US Cross-sectional 94 Stigmatizing Situations Inventory
Carels et al. (2009) US 1-Group pretest/posttest 42 Obese Persons Trait Survey
Implicit Associations Test
Farrow and Tarrant (2009) UK Cross-sectional 197 Experience of Weight-based Discrimination Scale
Hatzenbuehler et al. (2009) US Cross-sectional with secondary
database analysis
31,558 Perceived Weight Discrimination Scale
Latner et al. (2009) US 1-Group pretest/posttest 185 Stigmatizing Situations Inventory
Carels et al. (2010) US 2-Group pretest/posttest 49 Implicit Associations Test
Weight Bias Internalization Scale
Obese Persons Trait Survey
Wott and Carels (2010) US 2-Group pretest/posttest 49 Stigmatizing Situations Inventory
Savoy (2010) US Cross-sectional 123 Weight-based Stigmatization Experience Scale
Carels et al. (2011) US 1-Group pretest/posttest 53 Implicit Association Test
Tsenkova et al. (2011) US Cross-sectional with secondary
database analysis
938 Perceived Weight Discrimination Scale
Robinson (2011) US Cross-sectional 955 Perception of Teasing Scale
Gatehouse Bullying Scale
Durso, Latner, and Hayashi (2012) US Cross-sectional 381 Weight Bias Internalization Scale
Durso, Latner, White, et al. (2012) US Cross-sectional 100 Weight Bias Internalization Scale
Durso (2012) US 2-Group pretest/posttest 75 Weight Bias Internalization Scale
Fettich and Chen (2012) US Cross-sectional 234 Stigmatizing Situations Inventory
Levy and Pilver (2012) US Cross-sectional with secondary
database analysis
20,649 Experiences of Discrimination Scale
Savoy et al. (2012) US Cross-sectional CP:99
SP:100
Stigmatizing Situations Inventory
Carels et al. (2013) US Cross-sectional 62 Obese Persons Trait Survey
Weight Bias Internalization Scale
Sutin and Terracciano (2013) US Longitudinal with secondary
database analysis
6,157 Experience of Everyday Discrimination Scale
Burmeister and Carels (2014) US Cross-sectional 116 Weight Bias Internalization Scale
Hilbert et al. (2014) Germany Cross-sectional 1,158 Weight Bias Internalization Scale
Himmelstein et al. (2014) US 2-Group pretest/posttest 110 Experimentally manipulated weight stigma in a
clothes shopping scenario
Hunger and Major (2014) US Cross-sectional SO:171
ST:194
Modified version of Perceived Racial
Discrimination
Modified version of Other Forms of Stigma
Concerns
Jackson et al. (2014) US Longitudinal with secondary
database analysis
2,944 Perceived Discrimination Questionnaire
Lee et al. (2014) US Australia Cross-sectional USP:215
AP:264
Modified versions of the Attitudes to Mental
Illness Questionnaire and the General
Social Survey
Pearl et al. (2014a) US Cross-sectional 245 Weight Bias Internalization Scale
Pearl et al. (2014b) US Cross-sectional 255 Weight Bias Internalization Scale
Sutin et al. (2014) US Cross-sectional with secondary
database analysis
7,394 Single-item measures from Perceived
Discrimination Scale
Rudolph and Hilbert (2014) Germany Cross-sectional 78 Self-Discrimination Implicit Association Test
Schvey et al. (2014) US 2-Group pretest/posttest 123 10-minute weight stigmatizing video
(Continues)
4
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WU AND BERRY

removed. After screening titles and abstracts, 219 studies were
excluded and 362 studies remained. The full texts of the remaining
362 studies were reviewed, after which 329 were excluded, leaving
33 studies in the final analysis. Figure 1 displays the PRISMA flow-
chart showing the search procedure for identification of the data-
bases, screening studies, assessing for eligibility and the final studies
that met the selection criteria.
3.5
|
Quality appraisal
The quality of all included articles was assessed by the two indepen-
dent researchers. The studies included in this review were either
observational and cross-sectional studies or pre–post studies with no
control group. Therefore, we used two quality assessment tools from
the National Heart, Lung and Blood Institute for Observational
Cohort and Cross-Sectional Studies (National Heart, Lung and Blood
Institute 2014a) and for Before–After (Pre–Post) Studies with No
Control Group (National Heart, Lung and Blood Institute 2014b) to
present the assessment of risk of bias because the Cochrane Hand-
book assessment of risk of bias guideline is more suitable for use in
interventional studies with a control group and in interrupted time
series studies (Cochrane Effective Practice and Organisation of Care
2017a). Quality appraisal of each article included study questions,
study population, study participants representation, sample size,
exposure measures for the observational studies, intervention, out-
come measures, blinding of outcome assessors, loss of follow-up rate
and statistical analysis. Overall quality rating (i.e. good, fair or poor)
was based on the critical appraisal of the risk of potential for selec-
tion bias, information bias, measurement bias or confounding. Any
disagreement was resolved by consensus. Tables S2 and S3 show
the results of the quality appraisal.
3.6
|
Data extraction
The following information was first extracted to organize the data
and prepare for analysis: publication year, location of study, study
design, sample and sample size, participants’ages, BMI, measures of
weight stigma and instruments, measures of health outcomes,
response rate for cross-sectional survey studies, attrition rate for
intervention and longitudinal studies and study results. Second,
descriptive statistics were used to obtain the sum, mean, standard
deviation, range, percentage of study and sample characteristics for
the included studies. All data were analysed using Statistical Package
for Social Sciences (SPSS) 3.0 software (SPSS 2014). Third, study
results related to different measures of weight stigma were
extracted in more detail to summarize the associations between the
experiences of weight stigma, internalized weight stigma, implicit
weight bias and explicit weight bias and health outcomes in the
included studies. The process of data abstraction and synthesis was
completed independently by two reviewers and any disagreement
was resolved by consensus.
4
|
RESULTS
4.1
|
Characteristics and quality of included studies
Table 1 presents a brief of included studies, Table 2 presents a sum-
mary of findings and Table S4 presents the details of the 33 studies.
Overall, the quality ratings for all 33 studies were fair to good
(Tables S2 and S3). They included a total of 75,599 participants and
individual sample sizes ranged from 42 to 31,558. The majority of
participants across the studies were Caucasian (mean =69.6% SD
26.9%). The mean age of participants across the studies was
44.6 years (SD 12.7), and the mean BMI of participants was
33.6 kg/m
2
(SD 7.6). The majority of the studies were conducted in
the United States (84.8%, 28 studies) and used a cross-sectional
design (69.7%, 23 studies) and a convenience sample (60.6%, 20
studies). Six studies in this review used secondary databases. Only
two studies reported power analysis for sample size justification
(Robinson, 2011; Wu & Liu, 2015), which makes it difficult to deter-
mine whether the sample size was sufficiently large enough for the
majority of the studies.
Twenty studies in this review reported sample sizes of <200, which
may have affected the results. The mean response rate for cross-
sectional design studies was 93.3% (SD 11.6%) and the mean attrition
rate for intervention studies was 11.3% (SD 11.2%). Two intervention
studies in this review reported that participants lost to follow-up
exceeded 20% (Carels et al., 2009; Durso, 2012). None of the studies
in this review reported outcome assessors blinded to the participants’
exposures or interventions, which may have altered the results.
Most of the psychological health outcomes were self-reported
by the participants. Four studies in this review used doctoral-level
diagnostic interviews for binge eating disorder but did not report
whether the interviewers were blinded to the participants’exposures
TABLE 1 (Continued)
Author/s (year) Location Study design N
Weight stigma measure used/manipulated
weight stigma
Tomiyama et al. (2014) US Cross-sectional survey with repeat
measure of salivary cortisol
47 Stigmatizing Situations Inventory
Modified version of the Stigma Consciousness
Scale
Wu and Liu (2015) Taiwan Cross-sectional 141 Stigmatizing Situations Inventory
Year =published year; N=number of participants; US =United States of America; UK =United Kingdom; CP =clinical participants; SP =student par-
ticipants; SO =study one; ST =study two; USP =United States participants; AP =Australia participants.
WU AND BERRY
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5

(Durso, Latner, White, et al., 2012; Friedman, Ashmore, & Applegate,
2008; Pearl, White, & Grilo, 2014a,b). Finally, 18 of 25 longitudinal
and cross-sectional studies measured and adjusted statistically for
the impact of confounding variables on the relationship between
weight stigma and health outcomes. Seven of eight intervention
studies reported the pre-to-post health outcomes changes. In sum-
mary, the main limitations of the included studies consisted of small
convenience samples without sample size justification, self-reported
psychological health outcomes and lack of confounding variables in
the studies.
4.2
|
Measures of weight stigma
Six studies (18.2%) in this review observed weight stigma by more
than one measure. The most common measure for weight stigma
was experiences of weight stigma (54.5%, 18 studies). The most
common tool for measuring the experiences of weight stigma was
the Stigmatizing Situations Inventory (43.6%, 8 studies). The second
most common measure of weight stigma was internalized weight
stigma, measured by the Weight Bias Internalization Scale (27.3%, 9
studies). The third most common measure for weight stigma was
Records identified
in PubMed and
MEDLINE search
IdentioficationScreeningIncluded Eligibility
(N = 493)
Records
identified in
PsycINFO search
Records remaining after duplicates removed
(N = 159)
Records
identified in
CINAHL search
(N = 214)
(N = 581)
Abstracts screened
(N = 581)
Full-text articles assessed Full-text articles execluded, with reasons
163 Not reported health outcoms
43 Qualitative articales
58 Review articles
35 expert opinions
19 Reported behavior outcomes
5 Intervention studies for reducing
weight stigma
6 Reported weight stigma for children
for eligibility (N = 362)
Studies included in
quantitative research with
English language
(N = 33)
Records excluded for
improper topic & abstracts
(N = 219)
(N = 329)
Additional records
identified through
other sources
(N = 11)
FIGURE 1 Flowchart of the inclusion procedure in a PRISMA diagram
6
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WU AND BERRY

TABLE 2 Summary of findings
Associations between weight stigma and physiological and psychological health for overweight or obese adults
People: Individual adults who are overweight or obese
Settings: Primarily the United States of America
Intervention: none
Comparison: none
Outcomes Impacts Number of studies
b
Overall quality rating
a
Weight change Some researchers reported the higher the weight stigma, the lower percentage of weight loss. Others reported
no statistically significant association between weight stigma and weight change
7 Fair
Obesity and diabetes risk Higher weight stigma associated with higher HbA1c levels, which may increase the risk for developing type
2 diabetes mellitus. Higher weight stigma also increased the risk to be obese or remain obese
3 Good
Biomarkers The greater the weight stigma, the higher the cortisol, oxidative stress and C-reactive protein levels, meaning
that weight stigma is linked to hypothalamic–pituitary–adrenal axis reactivity and systemic inflammation and
may contribute to adverse health outcomes like cardiovascular disease and diabetes
4 Fair
Eating disturbances Higher weight stigma was significantly associated with higher eating disturbances like binge eating and emotional
eating and result in weight gain
14 Fair
Depressive symptoms The higher the weight stigma, the greater the depressive symptoms 17 Fair
Anxiety The more frequently weight stigma was experienced, the higher the anxiety levels reported 7 Fair
Self-esteem. Higher weight stigma was significantly associated with lower self-esteem 7 Fair
Body image Higher weight stigma was significantly associated with higher body image dissatisfaction 9 Fair
Other psychological distress Higher weight stigma was significantly associated with higher psychological distress such as social isolation,
suspiciousness, hostility and nicotine, alcohol and drug dependence
10 Fair
a
National Heart, Lung, and Blood Institute quality assessment guideline.
Good =Low risk of bias of included studies. The outcome results reported in the studies can truly be attributed to the intervention or exposure being evaluated, and not to biases, measurement errors, or
other confounding factors that may result from flaws in the design or conduct of the studies.
Fair =Some risk of bias of included studies. The outcome results reported in the studies were attributed to the intervention or exposure being evaluated but the studies may contain some risk of bias.
Poor =High risk of bias of included studies such as potential for selection bias, information bias, measurement bias, or confounding (the mixture of exposures that one cannot tease out from each other).
The outcome results reported in the studies cannot be attributed to the intervention or exposure being evaluated.
b
Twenty of the 33 studies reported more than one type of health outcomes.
WU AND BERRY
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7

implicit weight bias (12.1%, 4 studies), measured by the Implicit
Associations Test (3 studies) and Self-Discrimination Implicit Associa-
tion Test (1 study). The fourth most common measure for weight
stigma was explicit weight bias, measured by the Obese Persons
Trait Survey (9.1%, 3 studies).
4.3
|
Associations between weight stigma and
physiological health outcomes
4.3.1
|
Weight change
More weight stigma experienced was correlated with a greater per-
centage of weight loss (r=.23, p<.005) (Latner, Wilson, Jackson, &
Stunkard, 2009); however, Wott and Carels (2010) found no signifi-
cant association. Jackson, Beeken, and Wardle (2014) compared par-
ticipants who did not report experiences of weight discrimination to
those who did and found that those who reported having experi-
enced weight stigma gained a mean of 1.66 kg (SD 0.42, p<.001)
over 4 years. Greater implicit weight bias was significantly associated
with a lower percentage of weight loss (r=.33, p=.04) (Carels
et al., 2011), but no statistically significant associations were found
between implicit weight bias and weight change in the other two
studies (Carels et al., 2009, 2010).
Obese participants who lost at least 2.5% of their baseline
weight reported less explicit weight bias (Carels et al., 2009); how-
ever, another study reported no statistically significant association
between explicit weight bias and weight change (Carels et al., 2010).
Participants with low levels of internalized weight stigma lost twice
as much weight as participants with higher levels of internalized
weight stigma (Durso, 2012). In contrast, Carels et al. (2010)
reported no significant difference between internalized weight
stigma and weight change.
4.3.2
|
Obesity and diabetes risk
The experiences of weight stigma moderated the effects of waist-to-
hip ratio on glycated haemoglobin (HbA1c) after controlling for
selected socio-demographic, health and psychosocial variables (Tsen-
kova, Carr, Schoeller, & Ryff, 2011). Participants who experienced a
higher frequency of weight stigma had higher HbA1c levels and a
higher risk for developing type 2 diabetes mellitus (Tsenkova et al.,
2011). Controlling for baseline BMI, participants who experienced
weight stigma were more likely to be obese than those who did not
(Jackson et al., 2014; Sutin & Terracciano, 2013) and were also more
likely to remain obese at 4-year follow-up (OR =3.20, 95%
CI =2.06–4.97) (Sutin & Terracciano, 2013).
4.3.3
|
Cortisol, oxidative stress and C-reactive
protein levels
Two of these studies examined weight stigma using weight stigma
scenarios and weight stigma videos, respectively (Himmelstein, Incol-
lingo, & Tomiyama, 2014; Schvey, Puhl, & Brownell, 2014). The two
studies found that participants who experienced the weight stigma-
tizing conditions sustained salivary cortisol elevation, controlling for
baseline cortisol (Himmelstein, Incollingo, & Tomiyama, 2014; Schvey
et al., 2014). F
2
-isoprostane levels represent oxidative stress levels, a
pathogenic mechanism of stress response causing physical damage,
such as disrupting the activity of antioxidant enzymes (Tomiyama
et al., 2014). Researchers found that the greater the weight stigma,
the higher the morning serum cortisol and F
2
-isoprostane levels
(Tomiyama et al., 2014). Finally, one study that examined the associ-
ation between experience of everyday discrimination because of
weight and the level of C-reactive protein in overweight participants
found that having experienced weight discrimination was associated
with higher levels of C-reactive protein among participants with a
BMI of 25–30 kg/m
2
(Sutin, Stephan, Luchetti, & Terracciano, 2014).
4.4
|
Associations between weight stigma and
psychological health outcomes
4.4.1
|
Eating disturbances
The experience of weight stigma was significantly positively associ-
ated with either binge eating behaviours or emotional eating
(r=.21–.45, all p<.05) (Ashmore, Friedman, Reichmann, & Musante,
2008; Farrow & Tarrant, 2009; Friedman et al., 2008; Savoy, 2010;
Wott & Carels, 2010; Wu & Liu, 2015).
For implicit and explicit weight bias, Carels et al. (2010) reported
a significant positive association between implicit weight bias and
binge eating behaviours (r=.36, p<.05). In a later study, Carels
et al. (2013) reported no significant associations between explicit
weight bias and binge eating behaviours among adults; however,
more negative self-ratings of explicit weight bias were associated
with greater binge eating behaviours (r=.55, p<.001).
In terms of internalized weight stigma, four studies reported a
significant positive association between internalized weight stigma
and binge eating behaviours (r=.43–.58, all p<.05) (Burmeister &
Carels, 2014; Carels et al., 2010, 2013; Pearl et al., 2014b). In addi-
tion, Durso, Latner, and Hayashi (2012) found that internalized
weight stigma partially mediated the association between perceived
discrimination and eating disturbances.
As it relates to the other measures of weight stigma, such as
weight-based stigma towards a fictional character, perceived weight-
related teasing and fat stereotypes, Lee, Hall, Lucke, Forlini, and Car-
ter (2014) found no significant associations between weight-based
stigma towards a fictional character and a diagnosis of food addic-
tion among adults. No significant association between implicit self-
discrimination and eating disorders has been reported among adults
(Rudolph & Hilbert, 2014).
4.4.2
|
Depressive symptoms
The more frequent the experience of weight stigma, the greater the
depressive symptoms (r=.31–.51, all p<.05) (Ashmore et al., 2008;
Fettich & Chen, 2012; Friedman et al., 2008; Hatzenbuehler, Keyes,
8
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WU AND BERRY

& Hasin, 2009; Savoy, Almeida, & Boxer, 2012; Wott & Carels,
2010). In addition, the experiences of weight stigma mediated the
relationship between weight status and depressive disorders (Levy &
Pilver, 2012) and between BMI and depressive symptoms (Hunger &
Major, 2014). Related to implicit and explicit weight bias, one study
reported that neither implicit nor explicit weight bias was signifi-
cantly associated with depressive symptoms (Carels et al., 2010);
however, another study reported that explicit weight bias was signif-
icantly associated (r=.419, p=.001) (Carels et al., 2013).
Internalized weight stigma was positively associated with depres-
sive symptoms (r=.43–.66, all p<.05) (Burmeister & Carels, 2014;
Carels et al., 2013; Durso, 2012; Durso, Latner, White, et al., 2012),
but one study reported no significant association (Carels et al.,
2010). In addition, Hilbert, Braehler, Haeuser, and Zenger (2014)
found that self-evaluation mediated the relationship between inter-
nalized weight stigma and depressive symptoms. Pearl et al. (2014b)
found that depressive symptoms mediated the relationship between
internalized weight stigma and self-reported psychological and physi-
ological health.
Perceived weight-related teasing, weight-related victimization
and implicit self-discrimination were significantly positively associ-
ated with depressive symptoms among adults (r=.28–.53, all
p<.05) (Robinson, 2011; Rudolph & Hilbert, 2014). Perceived
weight-related teasing of adults mediated the effect of BMI on
depressive symptoms (Hunger & Major, 2014).
4.4.3
|
Anxiety
More frequent experience of weight stigma was associated with
higher anxiety levels (r=.33–.39, all p<.05) (Ashmore et al., 2008;
Friedman et al., 2008; Hatzenbuehler et al., 2009; Savoy et al., 2012).
The experiences of weight stigma also mediated the association
between weight status and anxiety among adults (Levy & Pilver,
2012).
Core self-evaluation mediated the relationship between internal-
ized weight stigma and anxiety among adults (Hilbert et al., 2014).
However, another study demonstrated no significant association
between internalized weight stigma and anxiety among adults
(Durso, 2012). No studies in this review examined associations
between implicit or explicit weight bias and anxiety.
4.4.4
|
Self-esteem
Higher frequency of experienced weight stigma was significantly
related to lower self-esteem among adults (b=.23, p<.02) (Fried-
man et al., 2008); however, another study reported no significant
associations with self-esteem (Latner et al., 2009). Still another study
indicated that the experiences of weight stigma mediated the rela-
tionship between BMI and self-esteem among adults (Hunger &
Major, 2014).
Higher internalized weight stigma was significantly associated with
lower self-esteem among adults (r=.41 to 0.68, all p<.05)
(Durso, 2012; Durso, Latner, White, et al., 2012; Pearl et al., 2014a).
Overvaluation of shape and weight mediated the relationship between
internalized weight stigma and self-esteem (Pearl et al., 2014a).
For the other measures of weight stigma, a higher implicit self-
discrimination level was significantly associated with lower self-
esteem among adults (r=.39, p<.001) (Rudolph & Hilbert, 2014)
and an individual’s weight stigma concerns mediated the relationship
between BMI and self-esteem among adults (Hunger & Major,
2014). No studies in this review reported associations between
implicit or explicit weight bias and self-esteem.
4.4.5
|
Body image
Higher frequency of experienced weight stigma was significantly asso-
ciated with higher body image dissatisfaction among adults
(r=.25–.41, b=0.40, all p<.05) (Farrow & Tarrant, 2009; Friedman
et al., 2008; Latner et al., 2009) and was significantly associated with
concerns regarding body shape (r=.44, p<.015) (Savoy, 2010).
Higher implicit weight bias was associated with higher investments in
personal appearance (r=.27, p<.05), but explicit weight bias was not
significantly associated with body image (Carels et al., 2010).
Higher internalized weight stigma was significantly associated
with higher body image dissatisfaction (r=.60, p<.01) (Durso,
2012), lower appearance evaluation ratings (r=0.63, p<.01) (Car-
els et al., 2010) and lower body satisfaction (r=.51, p<.01)
(Burmeister & Carels, 2014). For the other measures of weight
stigma, Robinson (2011) reported that greater perceived weight-
related teasing was associated with higher body image dissatisfaction
(r=.42, p<.01).
4.4.6
|
Other psychological distress
The experiences of weight stigma were significantly positively asso-
ciated with interpersonal sensitivity (Ashmore et al., 2008), social
isolation and social phobia (Ashmore et al., 2008; Hatzenbuehler
et al., 2009), suspiciousness (Ashmore et al., 2008), hostility (Ash-
more et al., 2008), phobic anxiety (Friedman et al., 2008), perceived
stress and dysthymia (Hatzenbuehler et al., 2009), nicotine, alcohol
and drug dependence (Hatzenbuehler et al., 2009), manic or hypo-
manic episodes (Hatzenbuehler et al., 2009), panic and posttraumatic
stress disorder (Hatzenbuehler et al., 2009), fear of fat and weight
gain (Latner et al., 2009), antisocial behaviour (Savoy et al., 2012)
and negative association with the ‘in group’social consensus
(r=.20, p<.01) (Farrow & Tarrant, 2009). No studies in this
review looked at associations between implicit or explicit weight bias
and other types of psychological distress.
5
|
DISCUSSION
Frequency of experiencing weight stigma, internalized weight stigma,
implicit weight bias and explicit weight bias are four types of mea-
sures that were found in current literature for measuring weight
stigma in overweight and obese adults. The majority of the studies
WU AND BERRY
|
9

in our review focused on the impact of the frequency of experienc-
ing weight stigma by using self-report frequency tools. However,
whether the frequency of experienced weight stigma is equal to the
level of stress a person perceives may require further discussion.
The personal perception of weight stigma for individuals may lead to
different stress levels and, therefore, may result in different health
outcomes.
Overall, our review found that the greater the weight stigma, the
worse the physiological health status of overweight and obese
adults, regardless of the measures of weight stigma. Obesity and dia-
betes risk, cortisol, oxidative stress and C-reactive protein levels are
all positively related to experiences of weight stigma, but the associ-
ation between different measures of weight stigma and weight
change demonstrated mixed results. We also found in this review
that only a few studies reported physiological health outcomes. One
reason might be the difficulty of separating the physiological impact
of weight stigma from the physiological impact of being overweight
or obese. That is, individuals who are overweight or obese have sig-
nificantly greater physiological vulnerabilities than individuals who
are normal weight (Tsenkova et al., 2011). For instance, higher fre-
quency of experienced weight stigma may increase HbA1c by acti-
vating the hypothalamic–pituitary–adrenal axis (Tsenkova et al.,
2011). However, it is difficult to determine by an observational study
design whether the increase of HbA1c is due to weight stigma. One
solution to this design problem is to use a manipulated weight
stigma intervention. Two studies in our review employed weight
stigma scenarios and videos and measured cortisol at baseline and
30-min postmanipulation (Himmelstein et al., 2014; Schvey et al.,
2014). However, the long-term impact of weight stigma on cortisol
levels remains unclear. Longitudinal studies with larger samples of
overweight and obese adults are needed.
The current review found that the greater the weight stigma, the
greater the eating disturbances, depressive symptoms, anxiety and
body image dissatisfaction and the lower the self-esteem among
overweight and obese adults, regardless of the measures of weight
stigma. Weight stigma is a stressor to overweight and obese people.
Overeating has been found to be a comfort-seeking behaviour and
may help individuals who are overweight or obese to manage the
stress caused by weight stigma (Tomiyama, 2014). In addition, when
people who are overweight or obese are faced with negative judg-
ments related to being overweight or obese, they may feel blamed
or accused for failing to be healthy and thin. Therefore, they may
feel dissatisfied with their body image and have a sense of shame,
which, in turn, may increase depression and anxiety (Kemeny, Grue-
newald, & Dickerson, 2004; Tomiyama, 2014).
The negative influences from weight stigma are preventable. The
first step of prevention is to alert the public to the importance of
the weight stigma issue. It is imperative that researchers, clinicians
and the public become aware of the adverse effects of weight
stigma. For example, the Binge Eating Disorder Association has
established Weight Stigma Awareness Week as an annual online
event recurring in the last week of September to educate the public
about weight stigma and to focus on children’s perceptions of
weight bias (Binge Eating Disorder Association 2016). The for-pay
television channel HBO created a short film called ‘Stigma: The
Human Cost of Obesity’to document the stigma and discrimination
individuals have faced because of their weight (UConn Rudd Center
2017). These important actions comprise the first step in educating
the public about weight stigma.
In addition, assessment tools for weight stigma should be devel-
oped for healthcare providers. The purpose of the tools would be to
not only assess for weight stigma routinely but also to initiate dis-
cussion about weight stigma between healthcare providers and indi-
viduals who are overweight or obese, their family members and
friends. It is important to include the family members and friends of
individuals who are overweight or obese in the weight stigma con-
versation because these individuals may also experience weight
stigma comments or treatment from their family members or friends
(Wu & Liu, 2015). Such a conversation about weight stigma can pro-
vide an opportunity for providers to educate affected people about
the adverse physiological and psychological conditions weight stigma
may be having on their health.
6
|
REVIEW LIMITATIONS
This review of the literature had several limitations. First, only four
databases for English articles were searched and publications may
have been missed. Second, we included both physiological and psy-
chological health outcomes, but we excluded behavioural outcomes.
Third, we excluded the articles that reported weight stigma related
to children and adolescents, which may limit our understanding of
weight stigma on the younger generation.
7
|
CONCLUSION
This review provides important information on measures of weight
stigma and its associations with health outcomes for overweight and
obese individuals. Providing regular and accessible weight stigma
education to the public and clinical healthcare providers is necessary.
A more convenient and easy-to-use tool must be developed for
screening individuals who are overweight or obese for weight stigma
in clinical settings. In addition, longitudinal studies measuring per-
sonal perception of weight stigma are needed to further examine
the long-term impact of weight stigma on physiological, psychologi-
cal and behavioural aspects for adults, children and adolescents.
AUTHOR CONTRIBUTIONS
All authors have agreed on the final version and meet at least one
of the following criteria (recommended by the ICMJE [http://www.ic
mje.org/recommendations/]):
1. substantial contributions to conception and design, acquisition of
data, or analysis and interpretation of data;
10
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WU AND BERRY

2. drafting the article or revising it critically for important intellec-
tual content.
CONFLICTS OF INTEREST
No conflict of interest has been declared by the authors.
ORCID
Ya-Ke Wu http://orcid.org/0000-0001-8990-3449
REFERENCES
Ashmore, J. A., Friedman, K. E., Reichmann, S. K., & Musante, G. J.
(2008). Weight-based stigmatization, psychological distress, & binge
eating behavior among obese treatment-seeking adults. Eating Behav-
iors,9(2), 203–209. https://doi.org/10.1016/j.eatbeh. 2007.09.006
Binge Eating Disorder Association. (2016). Weight stigma awareness week.
Retrieved from https://bedaonline.com/events/weight-stigma-aware
ness-week/
Burmeister, J. M., & Carels, R. A. (2014). Television use and binge eating
in adults seeking weight loss treatment. Eating Behaviors,15(1), 83–
86. https://doi.org/10.1016/j.eatbeh.2013. 10.001
Carels, R. A., Burmeister, J., Oehlhof, M. W., Hinman, N., LeRoy, M., Ban-
non, E., ... Ashrafloun, L. (2013). Internalized weight bias: Ratings of
the self, normal weight and obese individuals and psychological mal-
adjustment. Journal of Behavioral Medicine,36(1), 86–94. https://doi.
org/10.1007/s10865-012-9402-8
Carels, R. A., Hinman, N., Koball, A., Oehlhof, M. W., Gumble, A., &
Young, K. M. (2011). The self-protective nature of implicit identity
and its relationship to weight bias and short-term weight loss. Obesity
Facts,4(4), 278–283. https://doi.org/10.1159/000330809
Carels, R. A., Wott, C. B., Young, K. M., Gumble, A., Koball, A., & Oehlhof,
M. W. (2010). Implicit, explicit and internalized weight bias and psy-
chosocial maladjustment among treatment-seeking adults. Eating
Behaviors,11(3), 180–185. https://doi.org/10.1016/j.eatbeh.2010.03.
002
Carels, R. A., Young, K. M., Wott, C. B., Harper, J., Gumble, A., Oehlof, M.
W., & Clayton, A. M. (2009). Weight bias and weight loss treatment
outcomes in treatment-seeking adults. Annals of Behavioral Medicine,
37(3), 350–355. https://doi.org/10.1007/s12160-009-9109-4
Cochrane Effective Practice and Organisation of Care (EPOC). (2017a).
Suggested risk of bias criteria for EPOC reviews. Retrieved from http://
epoc.cochrane.org/epoc-specific- resources-review-authors.
Cochrane Effective Practice and Organisation of Care (EPOC). (2017b).
EPOC worksheets for preparing a Summary of Findings (SoF) table
using GRADE. Retrieved from http://epoc. cochrane.org/epoc-speci-
fic-resources-review-authors.
Dovidio, J. F., Kawakami, K., & Gaertner, S. L. (2002). Implicit and explicit
prejudice and interracial interaction. Journal of Personality and Social
Psychology,82(1), 62–68. https://doi.org/10.1037/0022-3514.82.1.62
Durso, L. E. (2012). The relationship of internalized weight bias to weight
change in treatment-seeking overweight adults. Unpublished thesis,
University of Hawaii at Manoa, Honolulu.
Durso, L. E., & Latner, J. D. (2008). Understanding self-directed stigma:
Development of the weight bias internalization scale. Obesity (Silver
Spring),16(Suppl 2), S80–S86. https://doi.org/10.1038/oby.2008.448
Durso, L. E., Latner, J. D., & Hayashi, K. (2012). Perceived discrimination
is associated with binge eating in a community sample of non-over-
weight, overweight and obese adults. Obesity Facts,5(6), 869–880.
https://doi.org/10.1159/000345931
Durso, L. E., Latner, J. D., White, M. A., Masheb, R. M., Blomquist, K. K.,
Morgan, P. T., & Grilo, C. M. (2012). Internalized weight bias in obese
patients with binge eating disorder: Associations with eating distur-
bances and psychological functioning. International Journal of Eating
Disorders,45(3), 423–427. https://doi.org/10.1002/eat.20933
Farrow, C. V., & Tarrant, M. (2009). Weight-based discrimination, body
dissatisfaction and emotional eating: The role of perceived social con-
sensus. Psychology and Health,24(9), 1021–1034. https://doi.org/10.
1080/08870440802311348
Fettich, K. C., & Chen, E. Y. (2012). Coping with obesity stigma affects
depressed mood in African-American and white candidates for baria-
tric surgery. Obesity (Silver Spring),20(5), 1118–1121. https://doi.org/
10.1038/oby.2012.12
Friedman, K. E., Ashmore, J. A., & Applegate, K. L. (2008). Recent experi-
ences of weight-based stigmatization in a weight loss surgery popula-
tion: Psychological and behavioral correlates. Obesity (Silver Spring),
16(Suppl 2), S69–S74. https://doi.org/10.1038/oby. 2008.457
Go, A. S., Mozaffarian, D., Roger, V. L., Benjamin, E. J., Berry, J. D., Blaha,
M. J., ... Turner, M. B. (2014). Heart disease and stroke statistics—
2014 update: A report from the American Heart Association. Circula-
tion,129(3), e28–e292. https://doi.org/10.1161/01.cir. 0000441139.
02102.80
Greenwald, A. G., McGhee, D. E., & Schwartz, J. L. (1998). Measuring
individual differences in implicit cognition: The implicit association
test. Journal of Personality and Social Psychology,74(6), 1464–1480.
https://doi.org/10.1037/0022-3514.74.6.1464
Hatzenbuehler, M. L., Keyes, K. M., & Hasin, D. S. (2009). Associations
between perceived weight discrimination and the prevalence of psy-
chiatric disorders in the general population. Obesity (Silver Spring),17
(11), 2033–2039. https://doi.org/10.1038/oby.2009.131
Higgins, J. P. T., & Green, S. (Eds.). (2011). Cochrane Handbook for System-
atic Reviews of Interventions Version 5.1.0. The Cochrane Collabora-
tion. Retrieved from www.handbook.cochrane.org.
Hilbert, A., Braehler, E., Haeuser, W., & Zenger, M. (2014). Weight bias
internalization, core self-evaluation and health in overweight and
obese persons. Obesity (Silver Spring),22(1), 79–85. https://doi.org/
10.1002/oby.20561
Himmelstein, M. S., Incollingo, B. A. C., & Tomiyama, A. J. (2014). The
weight of stigma: Cortisol reactivity to manipulated weight stigma.
Obesity (Silver Spring),23(2), 368–374. https://doi.org/10.1002/oby.
20959
Hunger, J. M., & Major, B. (2014). Weight stigma mediates the associa-
tion between BMI and self-reported health. Health Psychology,34(2),
172–175. https://doi.org/10.1037/hea0000106
Jackson, S. E., Beeken, R. J., & Wardle, J. (2014). Perceived weight dis-
crimination and changes in weight, waist circumference and weight
status. Obesity (Silver Spring),22(12), 2485–2488. https://doi.org/10.
1002/oby.20891
Kemeny, M. E., Gruenewald, T. L., & Dickerson, S. S. (2004). Shame as
the emotional response to threat to the social self: Implications for
behavior, physiology and health. Psychological Inquiry,15(2), 153–160.
https://doi.org/10.2307/20447221
Latner, J. D., Wilson, G. T., Jackson, M. L., & Stunkard, A. J. (2009). Greater
history of weight-related stigmatizing experience is associated with
greater weight loss in obesity treatment. Journal of Health Psychology,
14(2), 190–199. https://doi.org/10.1177/1359105308100203
Lee, N. M., Hall, W. D., Lucke, J., Forlini, C., & Carter, A. (2014). Food
addiction and its impact on weight-based stigma and the treatment
of obese individuals in the U.S. and Australia. Nutrients,6(11), 5312–
5326. https://doi.org/10.3390/nu6115312
Levy, B. R., & Pilver, C. E. (2012). Residual stigma: Psychological distress
among the formerly overweight. Social Science and Medicine,75(2),
297–299. https://doi.org/10.1016/j. socscimed.2012.03.007
Moher, D., Liberati, A., Tetzlaff, J., & Altman, D. G. (2009). Preferred
reporting items for systematic reviews and meta-analyses: The
WU AND BERRY
|
11

PRISMA statement. International Journal of Surgery,8, 336–341.
https://doi.org/10.1016/j.ijsu.2010.02.007
Myers, A., & Rosen, J. C. (1999). Obesity stigmatization and coping: Rela-
tion to psychological health symptoms, body image and self-esteem.
International Journal of Obesity and Related Metabolic Disorders,23(3),
221–230. https://doi.org/10.1038/sj.ijo.0800765
National Heart, Lung and Blood Institute. (2014a). Quality assessment
tool for observational cohort and crosssectional studies. Retrieved
from https://www.nhlbi. nih.gov/healthpro/ guidelines/inde-
velop/cardiovascularriskreduction/tools/cohort.
National Heart, Lung and Blood Institute. (2014b). Quality assessment
tool for beforeafter (prepost) studies with no control group.
Retrieved from https://www. nhlbi.nih.gov/ healthpro/guidelines/
indevelop/cardiovascularriskreduction/tools/beforeafter.
Papadopoulos, S., & Brennan, L. (2015). Correlates of weight stigma in
adults with overweight and obesity: A systematic literature review.
Obesity (Silver Spring),23(9), 1743–1760. https://doi.org/10.1002/ob
y.21187
Pearl, R. L., White, M. A., & Grilo, C. M. (2014a). Overvaluation of shape
and weight as a mediator between self-esteem and weight bias inter-
nalization among patients with binge eating disorder. Eating Behav-
iors,15(2), 259–261. https://doi.org/10.1016/j.eatbeh. 2014.03.005
Pearl, R. L., White, M. A., & Grilo, C. M. (2014b). Weight bias internaliza-
tion, depression and self-reported health among overweight binge
eating disorder patients. Obesity (Silver Spring),22(5), E142–E148.
https://doi.org/10.1002/oby.20617
Puhl, R. M., & Heuer, C. A. (2009). The stigma of obesity: A review and
update. Obesity,17(5), 941–964. https://doi.org/10.1038/oby.2008.
636
Puhl, R. M., Schwartz, M. B., & Brownell, K. D. (2005). Impact of per-
ceived consensus on stereotypes about obese people: A new
approach for reducing bias. Health Psychology,24(5), 517–525.
https://doi.org/10.1037/0278-6133.24.5.517
Puhl, R. M., & Suh, Y. (2015a). Stigma and eating and weight disorders.
Current Psychiatry Reports,17(3), 1–10. https://doi.org/10.1007/
s11920-015-0552-6
Puhl, R. M., & Suh, Y. (2015b). Health consequences of weight stigma:
Implications for obesity prevention and treatment. Current Obesity
Reports,4(2), 182–190. https://doi.org/10.1007/s13679-015-0153
Robinson, S. J. (2011). Psychosocial outcomes of weight stigma among col-
lege students. Unpublished thesis, University of South Florida, Tampa.
Rudolph, A., & Hilbert, A. (2014). A novel measure to assess self-discrimi-
nation in binge-eating disorder and obesity. International Journal of
Obesity (Lond),39(2), 368–370. https://doi.org/10.1038/ijo.2014.89
Salsman, J. (2012). Evaluating the impact of fat stigma on obesity. Psy-
cCRITIQUES,57(16), 1. https://doi.org/10.1037/a0027653
Savoy, S. (2010). Weight stigmatization experiences and psychological
adjustment: The role of dysfunctional cognitions. Unpublished thesis,
State University of New Jersey, New Brunswick.
Savoy, S., Almeida, L., & Boxer, P. (2012). The relation of weight stigmatiza-
tion to psychological adjustment. Journal of Applied Social Psychology,
42(9), 2285–2308. https://doi.org/10.1111/j.1559-1816.2012.00940.x
Schvey, N. A., Puhl, R. M., & Brownell, K. D. (2014). The stress of stigma:
Exploring the effect of weight stigma on cortisol reactivity. Psychoso-
matic Medicine,76(2), 156–162. https://doi.org/10.1097/psy.
0000000000000031
Schwartz, M. B., Vartanian, L. R., Nosek, B. A., & Brownell, K. D. (2006).
The influence of one’s own body weight on implicit and explicit anti-
fat bias. Obesity (Silver Spring),14(3), 440–447. https://doi.org/10.
1038/oby.2006.58
SPSS. (2014). SPSS 23.0 brief guide. Chicago: SPSS Inc.
Sutin, A. R., Stephan, Y., Luchetti, M., & Terracciano, A. (2014). Perceived
weight discrimination and C-reactive protein. Obesity,22(9), 1959–
1961. https://doi.org/10.1002/oby.20789
Sutin, A. R., & Terracciano, A. (2013). Perceived weight discrimination
and obesity. PLoS ONE,8(7), e70048. https://doi.org/10.1371/journa
l.pone.0070048
Tomiyama, A. J. (2014). Weight stigma is stressful. A review of evidence
for the Cyclic Obesity/Weight-Based Stigma model. Appetite,82,8–
15. https://doi.org/10.1016/j.appet. 2014.06.108
Tomiyama, A. J., Epel, E. S., McClatchey, T. M., Poelke, G., Kemeny, M.
E., McCoy, S. K., & Daubenmier, J. (2014). Associations of weight
stigma with cortisol and oxidative stress independent of adiposity.
Health Psychology,33(8), 862–867. https://doi.org/10.1037/hea
0000107
Tsenkova, V. K., Carr, D., Schoeller, D. A., & Ryff, C. D. (2011). Perceived
weight discrimination amplifies the link between central adiposity
and nondiabetic glycemic control (HbA1c). Annals of Behavioral Medi-
cine,41(2), 243–251. https://doi.org/10.1007/s12160-010-9238-9
UConn Rudd Center. (2017). HBO/Rudd center film is effective reducing
weight bias. Retrieved from http://www.uconnruddcenter.org/weight-
bias-stigma-media.
Vartanian, L. R., & Smyth, J. M. (2013). Primum non nocere: Obesity
stigma and public health. Journal of Bioethical Inquiry,10(1), 49–57.
https://doi.org/10.1037/0033-295X.107.1.101
Wilson, T. D., Lindsey, S., & Schooler, T. Y. (2000). A model of dual atti-
tudes. Psychological Review,107(1), 101–126. https://doi.org/10.
1037/0033-295X.107.1.101
Wott, C. B., & Carels, R. A. (2010). Overt weight stigma, psychological dis-
tress and weight loss treatment outcomes. Journal of Health Psychology,
15(4), 608–614. https://doi.org/10.1177/1359105309355339
Wu, Y. K., & Liu, Y. (2015). Weight-related stigmatization and binge eat-
ing among overweight adults in Southern Taiwan. Asia Pacific Journal
of Clinical Nutrition,24(1), 118–127. https://doi.org/10.6133/apjcn.
2015.24.1.05
SUPPORTING INFORMATION
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supporting information tab for this article.
How to cite this article: Wu Y-K, Berry DC. Impact of weight
stigma on physiological and psychological health outcomes
for overweight and obese adults: A systematic review. J Adv
Nurs. 2017;00:1–13. https://doi.org/10.1111/jan.13511
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For further information, please visit JAN on the Wiley Online Library website: www.wileyonlinelibrary.com/journal/jan
Reasons to publish your work in JAN:
•High-impact forum: the world’s most cited nursing journal, with an Impact Factor of 1·998 –ranked 12/114 in the 2016 ISI Journal Citation
Reports ©(Nursing (Social Science)).
•Most read nursing journal in the world: over 3 million articles downloaded online per year and accessible in over 10,000 libraries worldwide
(including over 3,500 in developing countries with free or low cost access).
•Fast and easy online submission: online submission at http://mc.manuscriptcentral.com/jan.
•Positive publishing experience: rapid double-blind peer review with constructive feedback.
•Rapid online publication in five weeks: average time from final manuscript arriving in production to online publication.
•Online Open: the option to pay to make your article freely and openly accessible to non-subscribers upon publication on Wiley Online Library,
as well as the option to deposit the article in your own or your funding agency’s preferred archive (e.g. PubMed).
WU AND BERRY
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