Next Article in Journal
Assessment of the Levels of Oxidative Stress, Muscle Damage, and Psychomotor Abilities of Special Force Soldiers during Military Survival Training
Next Article in Special Issue
Is It Weird to Enjoy Solitude? Relationship of Solitude Capacity with Personality Traits and Physical and Mental Health in Junior College Students
Previous Article in Journal
A Snapshot of Knowledge about Oral Cancer in Italy: A 505 Person Survey
Previous Article in Special Issue
Stigma and Smoking in the Home: Parents’ Accounts of Using Nicotine Replacement Therapy to Protect Their Children from Second-Hand Smoke
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Characterizing Lifetime and Daily Experiences of Weight Stigma among Sexual Minority Women with Overweight and Obesity: A Descriptive Study

1
Weight Control and Diabetes Research Center, The Miriam Hospital, Providence, RI 02903, USA
2
Warren Alpert School of Medicine, Brown University, Providence, RI 02903, USA
3
Department of Psychology, Rutgers, the State University of New Jersey, New Brunswick, NJ 08901, USA
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2020, 17(13), 4892; https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph17134892
Submission received: 10 June 2020 / Revised: 1 July 2020 / Accepted: 3 July 2020 / Published: 7 July 2020
(This article belongs to the Special Issue Stigma, Health and Wellbeing)

Abstract

:
Sexual minority women are disproportionately impacted by obesity yet are underrepresented in weight stigma research. This Ecological Momentary Assessment (EMA) study is a secondary analysis that aimed to elucidate the frequency and contextual characteristics of perceived experiences of lifetime and momentary weight stigma among sexual minority women with overweight/obesity. Participants were 55 sexual minority women ages 18–60 with a body mass index ≥25 kg/m2. Perceived lifetime weight stigma events were assessed at baseline. For the subsequent five days, participants used a smartphone to complete five daily, random EMA prompts assessing the frequency/characteristics of perceived weight stigma events in daily life. All participants reported at least one lifetime weight stigma event. During the EMA period, participants reported 44 momentary weight stigma events (M = 0.80), with 24% of participants reporting at least one event. During most instances of weight stigma, women perceived the stigma’s cause to be their weight and another minority identity (e.g., sexual orientation). Findings showing high rates of perceived lifetime weight stigma in this sample and frequent co-occurrence of perceived weight stigma with stigma due to other marginalized identities in daily life underscore the need for future, larger studies investigating weight stigma through an intersectional lens in sexual minority women with overweight/obesity.

1. Introduction

Despite the high prevalence of obesity in the U.S. [1], weight-based stigma is one of the most pervasive and socially-accepted forms of bias [2,3]. This bias is fueled by negative stereotypes that are linked to obesity, such as being lazy or unattractive [4]. Weight stigma occurs when individuals experience unfair treatment based on body weight, such as discrimination or harassment [2]. Although societal standards promoting thinness contribute to a culture where weight stigma can impact individuals of any body weight, people with overweight/obesity experience weight stigma more frequently and intensely than their lower-weight counterparts [5]. Perceived weight stigma experiences have been linked to negative mental health outcomes like depression [6], reduced quality of life [7], and behaviors like binge eating and exercise avoidance [8,9], which are likely to impair both weight management and well-being [10]. Perceived weight discrimination also partially explains longitudinal associations between obesity and poor cardiometabolic health [11], suggesting that obesity-related health consequences are explained not only by the physical effects of greater body adiposity but also by the social stigma of obesity.
However, sexual orientation is rarely assessed or examined in weight stigma research. Obesity is prevalent among sexual minority women [12], yet little is known about weight stigma experiences in this group. Sexual minority women include women who self-identify with a sexual minority orientation (e.g., lesbian, bisexual) or who report same-sex attraction or behavior [13]. Many sexual minority women face discrimination due to sexual orientation (i.e., heterosexism) and gender, i.e., sexism [14], and 61–76% of sexual minority women also have overweight/obesity [15,16] and may experience additional stigma due to their body weight (i.e., weight stigma). It is imperative to investigate sexual minority women’s perceptions of weight stigma as this group is already at risk for other forms of unfair treatment [14].
Indeed, recent cross-sectional research suggests that weight stigma may be prevalent among sexual minority women. In a national sample of sexual minority youth of all weight categories, 50–55% of youth reported experiencing weight stigma from family and peers [17], mirroring rates seen in the general population of youth [18,19]. Among a national sample of adults seeking weight loss treatment [20], 69–79% of sexual minority adults reported experiencing weight stigma at some point in their lives, rates similar to those reported by heterosexual adults in the sample. Finally, in a study of young adult lesbian women of all weight statuses, 26% reported experiencing weight stigma once or more in the past month [21]. These studies indicate that subjective experiences of weight stigma may be common among sexual minority women, highlighting the need for more work in this area.
When assessing the frequency and characteristics of perceived weight stigma experiences, most of the weight stigma literature relies largely on one-time retrospective self-reports [22,23]. Among adults in the general population, these assessments show that weight stigma is often perpetrated by friends, family, and strangers, stigma events occur several times per year at various locations (e.g., at home, in public, at work), and weight stigma events often occur in the form of verbal comments [22,24]. Technological innovations have advanced our understanding of how weight stigma manifests in daily life by using Ecological Momentary Assessment (EMA) [25]. EMA allows participants to complete real-time assessments of their experiences as they go about their daily lives. This approach is advantageous because it enhances the ecological validity of data [26] and decreases problems with recall bias [27] due to the reduced time between an event and assessment of that event [26]. EMA has been applied to investigate the phenomenology of momentary weight stigma events among adults with overweight/obesity [28,29,30], but we are not aware of any EMA studies documenting daily weight stigma events among sexual minority women with overweight/obesity. Such work could elucidate the form and contexts in which sexual minority women endorse weight stigma. This novel work is needed to improve understanding of weight stigma in this understudied group.

The Current Study

To fill this gap, we used data from a larger EMA study to assess the frequency and contextual characteristics of lifetime and momentary perceived weight stigma events in a sample of 55 sexual minority women with overweight/obesity. Participants self-reported subjective experiences of lifetime weight stigma and demographics at baseline, then subsequently completed a five-day EMA protocol involving multiple daily assessments of perceived weight stigma experiences. This descriptive study tested two aims. The first aim was to assess the frequency and characteristics of lifetime weight stigma in a sample of sexual minority women of higher body weight at baseline. The second aim was to use ecologically valid methods (i.e., EMA) to describe the frequency, characteristics (e.g., intensity), and contextual factors (e.g., location) of weight stigma experiences in daily life in this sample. Given the lack of prior research in this area and this study’s modest sample size, the goal of this study was primarily to provide descriptive pilot data to inform the design of future, larger studies investigating weight stigma events among sexual minority women.

2. Materials and Methods

This project was part of a larger study that was designed to assess the effects of multiple sources of stigma (e.g., heterosexism, sexism, weight stigma) on dysregulated eating behaviors among sexual minority women with overweight/obesity [31].

2.1. Participants

This study recruited 55 sexual minority women assigned female at birth with a BMI over 25 kg/m2. Sexual minority men were not recruited based on prior work showing that sexual minority men have a lower prevalence of overweight/obesity than their heterosexual counterparts [32,33], as well as research showing that women are disproportionately impacted by weight stigma [34]. Although sexual orientation is defined in myriad ways (e.g., sexual attraction, sexual behavior, self-identification), this study defined sexual minority status by self-identification with a sexual minority sexual orientation (e.g., gay/lesbian, bisexual, pansexual) to be consistent with most research in this area [12,13]. Participants were included in the study if they owned a smartphone and spoke English fluently. Participants were not eligible to participate if they reported current psychotic symptoms, past schizophrenia, or a developmental disorder, as these conditions may impair the ability to provide informed consent. Participants were not enrolled if they were pregnant, had a current serious medical condition (e.g., cancer), or had a history of weight loss surgery because these factors could impact experiences of hunger and satiety.

2.2. Procedures

All study procedures were approved by the Institutional Review Board at Rutgers, the State University of New Jersey (IRB#16-778M). Participant consent and IRB approval was obtained to publish aggregate rather than individual data due to the sensitive nature of the information collected in this multiply marginalized population. Participants were recruited from the community-at-large using online and in-person flyers advertising a “research study on stress and eating” for sexual minority women. Interested individuals completed an online screening survey. Potentially eligible women were provided with study information and were invited to attend a 65-min, in-person baseline visit. During this visit, women provided informed consent, completed baseline surveys using Qualtrics software (Qualtrics, Provo, UT, USA) [35], and height and weight were measured to compute BMI. Participants downloaded the study smartphone application hosted by LifeData (LifeData, LLC, Marion, IN, USA) [36] on their smartphone and received training in using the application (e.g., key terms like stigma were defined, concrete examples of stigma events were provided). Participants then completed a five-day EMA protocol (see EMA Measures for details). Participants received USD 15 for completing the baseline visit and USD 30 for completing the EMA period, regardless of their response rate.

2.3. Baseline Measures

2.3.1. Demographics

Participants reported their racial and ethnic background, age, and education level. Biological sex and gender identity were assessed separately.

2.3.2. Sexual Minority Status

Participants were asked, “Do you consider yourself to be” and chose from response options including “straight/heterosexual”, “gay/lesbian/homosexual”, “bisexual or pansexual”, “queer”, “asexual”, “unsure”, and “other”.

2.3.3. Body Mass Index (BMI)

A calibrated digital scale and stadiometer were used to measure weight to the nearest 0.1 kg and height to the nearest millimeter to compute BMI (kg/m2). Participants were weighed in light clothing without shoes.

2.3.4. Perceived Experiences of Lifetime Weight Stigma

Subjective perceptions of lifetime experiences of weight-based stigmatization were assessed using the Stigmatizing Situations Inventory (SSI) [22]. This 50-item measure asked participants to report the frequency of lifetime experiences of weight-based stigmatization across a range of settings on a scale from 0 (never) to 9 (daily). Sample items included, “Having people assume you have emotional problems because you are overweight” and “Being stared at in public.” The scale has been used extensively to measure stigmatization in populations with overweight/obesity [29,37]. This measure contains a global overall score and 11 sub-factors. We obtained good reliability for both the global factor (α = 0.93) and the subscales.

2.4. EMA Measures

For the five days following the baseline visit, participants used the app to complete five prompted assessments of perceived weight stigma per day. Prompts occurred randomly between 9:00 AM and 9:30 PM, and were at least two hours apart. Prompts not answered within 75 min of receipt counted as missing data, a standard that has been used in prior EMA studies [38].

Perceived Experiences of Momentary Weight Stigma

At every EMA prompt, participants reported whether they had experienced stigma since the prior EMA prompt. Specific items and response options are outlined in Table 1. Participants who endorsed stigma used seven items to provide details about each stigmatizing event they reported. For example, participants reported the perceived reason(s) for the stigma event, with the option to select multiple reasons from a checklist including weight, sexual orientation, gender, etc. Any stigma event attributed to weight was considered a weight stigma episode. Participants’ affective response to the stigma event, and the stigma intensity, location, source, and description were also assessed. The momentary assessment used in this study was adapted from existing measures of baseline and momentary stigma, including one prior study showing that adults can reliably report momentary weight stigma [3,22,23,30,39,40,41].

2.5. Data Analytic Strategy

Given the goal of the study to characterize perceived weight stigma events, along with the modest sample size and rate of daily weight stigma reported in this study, we primarily employed descriptive rather than inferential statistics. To determine the frequency of lifetime weight stigma within this sample, we computed the mean values for each subscale and global score of the SSI measure from the baseline assessment. Participants who endorsed experiencing weight stigma “once in your life” or more on any item of the SSI were coded as experiencing weight stigma on the overall measure and on that specific subscale. To determine the frequency and characteristics of perceived weight stigma in daily life, we analyzed descriptive data for all weight stigma events reported during EMA. We also sought to maximize statistical power by computing the overall frequency of perceived weight stigma events reported per participant during the EMA period.
We also conducted exploratory analyses to assess whether key variables like lifetime weight stigma, demographics (e.g., age, BMI), and compliance to EMA procedures were associated with the total number of weight stigma episodes reported during the EMA period. To do this, we used non-multilevel generalized linear models with a Poisson distribution and log link function to account for the non-linear (i.e., count) distribution of the weight stigma frequency variable. Each variable was modeled separately to preserve statistical power, though we also modeled SSI score simultaneously with covariates (e.g., BMI, demographics, EMA compliance). Generalized linear models are appropriate for detecting moderate to large effects, as expected in this study, despite limits to statistical power. However, analyses were considered exploratory due to this study’s modest sample size.
EMA compliance was computed by dividing the number of completed EMA prompts by the total number of EMA prompts delivered. In order to be included in data analysis, participants had to meet a minimum EMA compliance threshold defined as completing ≥40% of EMA prompts. This criterion was met by 100% of participants. Setting a minimum threshold for EMA compliance is standard in EMA research to ensure data validity [42] and the threshold of ≥40% compliance was drawn from prior work [43].

3. Results

First we examined the descriptive and demographic data of the sample (see Table 2). Age ranged from 18–60 years old (M = 25 ± 9). Participants identified as bisexual or pansexual (62%), lesbian or homosexual (33%), and queer (5%). Participants identified as cisgender (96%) and gender-queer/gender non-conforming (4%). The sample BMI ranged from 25 to 45 (M = 32 ± 5). The distribution of weight categories included overweight (36%), obese (29%), and very obese (35%). The sample was racially diverse (e.g., 45% identified as a member of a racial or ethnic minority group or as multiracial) and highly educated (e.g., most completed at least some college). All women who completed the baseline visit also completed EMA procedures and no attrition occurred during the EMA period. Compliance to EMA procedures was excellent (M = 76% of prompts completed). Most participants (73%) completed at least 70% of prompts and no participants completed less than 40%.

3.1. Perceived Experiences of Lifetime Weight Stigma at Baseline

All sexual minority women in the sample (100%) endorsed experiencing weight stigma at least once in their lives (M = 1.24 ± 0.79). All categories of weight stigma were endorsed by at least some members of the sample. The most common forms of lifetime weight stigma were negative comments from others (reported by 96% of participants), family (93%), children (87%), and doctors (84%). See Table 3 for details.

3.2. Perceived Experiences of Momentary Weight Stigma in Daily Life

3.2.1. Frequency of Perceived Momentary Weight Stigma Experiences

Across the sample, participants reported 44 instances of momentary weight stigma (M = 0.80 ± 2.12), with 24% of participants reporting at least one stigma event over the five-day EMA period. The frequency of weight stigma reported by individual participants ranged from 0–12 events. Of those reporting weight stigma during EMA, 54% identified as bisexual/pansexual, 46% identified as gay/lesbian, 23% had a BMI of 25–29.99 kg/m2, 31% had a BMI of 30–34.99 kg/m2, and 46% had a BMI of 35 kg/m2 or more.
Exploratory analyses using generalized linear models showed strong positive associations between lifetime weight stigma at baseline and weight stigma frequency reported during EMA, even when accounting for covariates like BMI, demographics, and EMA compliance (b = 1.0, SE = 0.30, p = 0.001, RR = 2.72). Weight stigma frequency during EMA was also positively related to participant BMI (b = 0.12, SE = 0.29, p < 0.001, RR = 1.13), age (b = 0.06, SE = 0.01, p < 0.001, RR = 1.07), and education level (b = 0.57, SE = 0.09, p < 0.001, RR = 1.77), but not to race or EMA compliance (p > 0.05).

3.2.2. Types of Perceived Momentary Weight Stigma

Most weight stigma events reported by sexual minority women with overweight/obesity in daily life involved being glared at or singled out (30% of events) or encountering physical barriers (25%). See Table 4 for full details.

3.2.3. Perceived Reason(s) for Momentary Stigma in Addition to Weight

When sexual minority women reported experiencing momentary stigma in daily life, they were asked to report all perceived reasons they were stigmatized using a checklist of potential reasons. During most instances of perceived weight stigma (75% of events) in daily life, sexual minority women reported being stigmatized because of their weight and another marginalized identity. For example, 43% of perceived weight stigma events also involved stigma due to sexual orientation, 41% also involved stigma due to age, 25% also involved stigma due to gender, and 20% also involved stigma due to race. Though reported less frequently, 5% also involved stigma due to SES. Only 25% of perceived weight stigma events reported by sexual minority women with overweight/obesity were solely attributed to weight.

3.2.4. Affective Response to Perceived Momentary Weight Stigma

Most perceived weight stigma events made participants feel upset (36%) or slightly bothered (34%), and 27% of weight stigma events were extremely upsetting. Only 2% of weight stigma events did not bother participants.

3.2.5. Intensity of Perceived Momentary Weight Stigma

Using a 0 (mild) to 10 (severe) scale, participants rated the average intensity of perceived weight stigma events to be 5.66 (SD = 2.44). Intensity ratings for individual weight stigma events ranged from 0 to 10, with most events (66%) rated as moderately to severely intense (5 or more out of 10) and only 9% rated as mild to low intensity (2 or less).

3.2.6. Location of Perceived Momentary Weight Stigma

Perceived weight stigma events reported in daily life occurred at participants’ place of work (30% of events), a general public setting (27%), on public transportation (18%), at home (11%), at a gym, park, or fitness center (7%), or at a restaurant or bar (2%).

3.2.7. Sources of Perceived Momentary Weight Stigma

As seen in Table 4, participants reported perceived weight stigma from varied sources, most commonly children and teens (28% of events), retail workers (23%), and strangers (21%).

3.2.8. Qualitative Descriptions of Perceived Momentary Weight Stigma

See Table 5.

4. Discussion

Findings from this descriptive study showed that all sexual minority women of higher body weight in this sample reported experiencing weight stigma at some point in their lives, with nearly one quarter of participants also reporting weight stigma experiences during a short, five-day EMA period. The high rates of perceived weight stigma reported in this sample are comparable to weight stigma rates reported in individuals with overweight/obesity of sexual minority status and from the general population [20], suggesting that weight stigma is a common experience for adults of larger body size regardless of sexual orientation. This is significant because historical perspectives have proposed that sexual minority status may protect against heteronormative body ideals and associated pressure/weight stigma in women [44], yet the findings showed that none of the sexual minority women with overweight/obesity in this study had been protected from weight stigma experiences. Further, when sexual minority women in this study reported weight stigma in daily life, most events involved being stigmatized because of weight and other reasons, most commonly sexual orientation. This finding reveals that among sexual minority women, weight stigma may be experienced in tandem with stigma due to other marginalized identities. This suggests that assessing weight stigma in isolation may not detect the full complexity of the stigma experience. Thus, it is critical for future research to assess how weight stigma intersects with other sources of stigma to affect health among sexual minority women and other marginalized groups.
Although weight stigma is a well-established problem affecting many adults of higher body weight [2], sexual orientation is rarely assessed or examined in these studies, making sexual minority women’s weight stigma experiences imperceptible. Study data give voice to these experiences, showing that 100% of sexual minority women with overweight/obesity in this sample endorsed at least one instance of perceived lifetime weight stigma, averaging one to several events in their lives by young adulthood to midlife (MSSI = 1.24). Even during just a five-day EMA period, 24% of women reported 44 weight stigma events (M = 0.16 events/participant/day). These rates of lifetime and daily perceived weight stigma mirror those seen in adults with overweight/obesity from the general population, who report average weight stigma rates of about one to several lifetime events MSSI = 0.81–1.78; [22,45,46,47,48,49] and 0.11–3.08 daily events in EMA studies [28,29,30]. The pervasiveness of lifetime weight stigma among women in this sample is comparable to rates reported among sexual minority individuals with overweight/obesity [20], though we are not aware of any EMA studies assessing weight stigma in this group. It was also notable that all 11 types of perceived weight stigma assessed on the SSI were endorsed by at least some sexual minority women in this study, including more severe forms like job discrimination and physical violence. Given the pervasiveness of perceived weight stigma found in this sample, it is critical for future research to evaluate sexual minority women’s weight stigma experiences and to assess and report sexual orientation in weight stigma research.
This point is further strengthened by EMA data revealing that during most momentary weight stigma events, sexual minority women perceived the cause of stigma to be their weight in addition to another minority identity, most commonly sexual orientation, gender, age, and race. This finding suggests that among sexual minority women, weight stigma is not an isolated issue with respect to body size. Rather, weight bias may be an added source of stigma that occurs alongside stigma based on other aspects of identity (e.g., sexual orientation). This interpretation aligns with double discrimination theory [50], which views stigma as an additive experience, such that those who face multiple sources of stigma (e.g., sexual minority women with obesity) experience higher levels of stigma than both their counterparts who are privileged (e.g., heterosexual men) and those with only one source of social disadvantage (e.g., heterosexual women; [51,52]). However, it is also possible that the multiple social identities held by sexual minority women intersect to produce a unique qualitative experience of weight stigma in this group, as suggested by the frequent convergence of stigma due to weight and sexual orientation in this sample. This is the implication of intersectionality theory [53,54,55], which proposes that multiple social identities operate synergistically (rather than additively) to influence social position, stigma, and health. Although data from this uncontrolled pilot study cannot directly test the applicability of these theories, one key implication for future research is that assessing weight stigma in isolation may not sufficiently capture the complexity of sexual minority women’s stigma experiences. Thus, it is critical to assess sexual orientation in weight stigma research and to assess weight stigma in the context of other marginalized identities. Double discrimination [50] and intersectionality theories [55] may be useful frameworks for advancing this research agenda.
The finding that sexual minority women experienced weight stigma in tandem with other stigma sources merits further study because it may also have vital implications for health. Prior work has shown that experiencing multiple simultaneous sources of stigma has compounding negative health effects [51,52,54,56]. The emphasis here is on individuals’ subjective perceptions of stigma because multiple marginalization often manifests in ambiguous ways that are difficult to “objectively” verify, and the perception of stress plays a key role in driving downstream negative health consequences [57,58]. Indeed, complex factors may affect how different sources of stigma interact to impact health: weight, sexual orientation, and other aspects of identity vary considerably in their prevalence, concealability, perceived controllability, and associated group pride, and related attitudes and norms differ across cultural groups and geographic regions [4,59,60]. This complexity underscores the need for research examining the effects of intersecting weight stigma on sexual minority women’s health. To promote resilience, it may also be vital to identify protective factors (e.g., social support, identification with a community identity) that may buffer negative health consequences [61,62].
The study findings also have implications for treatment. Most perceived weight stigma events reported by sexual minority women in this sample occurred alongside other sources of stigma, yet few stigma- or weight-related interventions address multiple minority identities. This may position multiple-marginalized groups like sexual minority women to receive treatments that may be less relevant and efficacious in meeting their needs. Research is needed to test the benefits of tailoring treatments to address multiple sources of stigma for sexual minority women or to expand stigma reduction interventions to address multiple stigma sources.
Data from this study also have broader treatment implications. Although we leveraged EMA in this study to assess perceived weight stigma experiences, ecologically valid methods can also be leveraged to deliver in-the-moment interventions to support sexual minority women in the moments that they experience stigma to reduce stress and possibly mitigate effects on health [63]. The pervasiveness of perceived weight stigma in this sample and existing research showing a high prevalence of weight stigma in the general population points to the need for systemic interventions to reduce the perpetration of stigma [64]. Given the findings that weight stigma was common in the workplace and from children/teens, systemic efforts may involve delivering workplace interventions targeting multi-level change or delivering anti-bullying programs to children/teens to disrupt early internalization of negative stereotypes [65]
Another novel finding from this study was that for a subset of participants, perceived weight stigma events may occur more frequently in daily life than indicated on one-time retrospective assessments. Similar findings are seen in EMA studies of weight stigma in adults with overweight/obesity from the general population [29,30]. Participants in this study reported ‘one to several weight stigma events per lifetime’ at baseline, yet 24% of participants reported 44 weight stigma events over a short five-day period. Providing additional context, one study showed that 26% of lesbian women reported weight stigma events in the past month using a one-time assessment [21], and we showed a similar rate over just five days. These findings suggest that EMA is a vital assessment strategy for understanding the frequency and characteristics of individuals’ day-to-day perceived weight stigma experiences.
Finally, aside from compounding reasons for stigma, most data on the characteristics and context of weight stigma events in daily life revealed more similarities than differences between sexual minority women and other adults with overweight/obesity. Women in this sample reported that most daily perceived weight stigma events involved verbal comments from others and physical barriers in the environment, with the most common sources being strangers (e.g., children/teens, retail workers), friends/family, and environmental barriers. Stigma events most often occurred in the places where people spend the most time (e.g., at work, in public, at home), and nearly all stigma events were emotionally upsetting. These findings share many similarities with reports from EMA studies assessing perceived weight stigma among adults with obesity, suggesting that some aspects of the weight stigma experience may be universal [28,29,30,66]. However, given this study’s limited sample size and duration of EMA, future EMA studies using larger samples are needed to directly test these claims.

Limitations

The strengths of this study include its novelty, as this study is among the first to assess sexual minority women’s experiences of lifetime and daily perceived weight stigma using the SSI measure and EMA methods. Participants in this study also demonstrated excellent compliance to EMA procedures, strengthening the validity of our EMA findings.
However, this study also has key limitations. This study was designed to be a relatively small, innovative project to provide pilot data for future, larger studies. Thus, our assessment of naturalistic weight stigma experiences was limited to a five-day period, a brief window that may underestimate how many sexual minority women in this sample experience weight stigma in daily life. This study also recruited a convenience sample of modest size, meaning that study data cannot be generalized to shed light on the prevalence of weight stigma experiences in the broader population of sexual minority women with overweight/obesity. Further, 24% of participants reported 44 perceived weight stigma events during the EMA period. Thus, study data on the characteristics of momentary weight stigma are based on small cell sizes, and specific findings regarding stigma form and context should not be over-generalized. Rather, these data should be seen as a starting point to inform future studies with larger, more representative samples.
This study also had methodological limitations. Due to resource limitations, this study did not include a control group of heterosexual women with overweight/obesity. Thus, we cannot compare the perceived weight stigma experiences of sexual minority women in this sample to their heterosexual counterparts, preventing direct tests of intersectionality or double discrimination theory. Future controlled studies that are guided by these frameworks are needed to understand how sexual minority status may influence perceived weight stigma experiences among women.
Several methodological factors may limit the interpretations of EMA research. The repeated administration of EMA measures can contribute to participant burden, missing data, and potential reactivity effects, though these limitations are debated within the field [25]. To minimize these effects, study prompts were designed to be brief and their order was randomized. Additionally, there are no widely validated EMA measures of momentary stigma, and thus this is an important area for further development.
Several factors may limit the generalizability of study findings. This study recruited sexual minority women from a Northeast region of the United States, and thus findings may not generalize to other geographical areas and countries where cultural attitudes related to sexuality, gender, and weight may differ. This study also examined perceived weight stigma experiences in a sample of lesbian, bisexual, and queer women together. A strength of this approach is that our data reflect the experiences of varied sexual minority women, but we are limited by insufficient statistical power to examine how individual subgroups of sexual minority women may differentially experience weight stigma. This is an important direction for future work.
Although these larger studies are critically needed to investigate weight stigma experiences in this population, given the dearth of prior research we believe the data from this study provide an important starting point to inform the design and implementation of larger EMA studies investigating weight stigma among sexual minority women.

5. Conclusions

Findings showed high rates of perceived lifetime weight stigma among sexual minority women with overweight/obesity in this sample and frequent co-occurrence of perceived weight stigma with stigma due to other marginalized identities (e.g., sexual orientation) in daily life. Given recent evidence that weight stigma negatively affects physical health in addition to quality of life, future research must aid in the reduction of weight stigma and its impact on health in this group.

Author Contributions

Conceptualization, E.P., K.O. and J.L.; methodology, E.P., E.A.S.; software, E.P.; formal analysis, E.P.; resources, E.P., E.A.S.; supervision, E.A.S.; writing—original draft preparation, E.P., K.O., C.M.G. and J.L.; writing—review and editing, E.P., K.O., C.M.G., E.A.S. and J.L.; funding acquisition, E.P. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Excellence Dissertation Fellowship and the Teaching Assistant and Graduate Assistant Professional Development Fund at Rutgers, the State University of New Jersey, a Scholar Award given by the International Chapter of the P.E.O. Sisterhood, and institutional training grants from the National Heart, Lung, and Blood Institute (T32 HL076134; K23 HL136845).

Acknowledgments

We wish to thank study participants for devoting their time and energy to participate in this research as well as our research team for assisting with data collection, including Maria Alba, Joshua Antunes, Gianna Distasio, Nicholas Diaz, Laura D’Adamo, Danielle Llaneza, Shadia Ahmed, Gali Zaborowski, Devin Sosa, Abeerah Wasti, Dana Manson, Jacqueline Roiter, Linda Hong, Megan Prince, Stephanie Garino, and Kaylee Little.

Conflicts of Interest

The authors declare no conflicts of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.

References

  1. Hales, C.M.; Carroll, M.D.; Fryar, C.D.; Ogden, C.L. Prevalence of Obesity among Adults and Youth: United States, 2015–2016. In National Center for Health Statistics; U.S. Department of Health and Human Services: Hyattsville, MD, USA, 2017. [Google Scholar]
  2. Puhl, R.M.; Heuer, C.A. The stigma of obesity: A review and update. Obesity 2009, 17, 941–964. [Google Scholar] [CrossRef] [PubMed]
  3. Andreyeva, T.; Puhl, R.M.; Brownell, K.D. Changes in perceived weight discrimination among Americans, 1995–1996 through 2004–2006. Obesity 2008, 16, 1129–1134. [Google Scholar] [CrossRef]
  4. Crandall, C.S. Prejudice against fat people: Ideology and self-interest. J. Pers. Soc. Psychol. 1994, 66, 882. [Google Scholar] [CrossRef] [PubMed]
  5. Puhl, R.M.; Andreyeva, T.; Brownell, K.D. Perceptions of weight discrimination: Prevalence and comparison to race and gender discrimination in America. Int. J. Obes. 2008, 32, 992. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  6. Carels, R.; Wott, C.; Young, K.; Gumble, A.; Koball, A.; Oehlhof, M. Implicit, explicit, and internalized weight bias and psychosocial maladjustment among treatment-seeking adults. Eat. Behav. 2010, 11, 180–185. [Google Scholar] [CrossRef]
  7. Schwimmer, J.B.; Burwinkle, T.M.; Varni, J.W. Health-related quality of life of severely obese children and adolescents. JAMA 2003, 289, 1813–1819. [Google Scholar] [CrossRef] [Green Version]
  8. Durso, L.E.; Latner, J.D.; Hayashi, K. Perceived discrimination is associated with binge eating in a community sample of non-overweight, overweight, and obese adults. Obes. Facts. 2012, 5, 869–880. [Google Scholar] [CrossRef]
  9. Vartanian, L.R.; Novak, S.A. Internalized societal attitudes moderate the impact of weight stigma on avoidance of exercise. Obesity 2011, 19, 757–762. [Google Scholar] [CrossRef]
  10. Wellman, J.D.; Araiza, A.M.; Newell, E.E.; McCoy, S.K. Weight stigma facilitates unhealthy eating and weight gain via fear of fat. Stigma Health 2018, 3, 186. [Google Scholar] [CrossRef]
  11. Daly, M.; Sutin, A.R.; Robinson, E. Perceived weight discrimination mediates the prospective association between obesity and physiological dysregulation: Evidence from a population-based cohort. Psychol. Sci. 2019, 30, 1030–1039. [Google Scholar] [CrossRef]
  12. Eliason, M.J.; Ingraham, N.; Fogel, S.C.; McElroy, J.A.; Lorvick, J.; Mauery, D.R.; Haynes, S. A systematic review of the literature on weight in sexual minority women. Womens Health Issues 2015, 25, 162–175. [Google Scholar] [CrossRef] [PubMed]
  13. Sell, R.L. The Sell assessment of sexual orientation: Background and scoring. J. Gay Lesbian Bisexual Identity 1996, 1, 295–310. [Google Scholar] [CrossRef]
  14. Meyer, I.H. Prejudice, social stress, and mental health in lesbian, gay, and bisexual populations: Conceptual issues and research evidence. Psychol. Bull. 2003, 129, 674. [Google Scholar] [CrossRef] [PubMed]
  15. Austin, E.L.; Irwin, J.A. Health behaviors and health care utilization of southern lesbians. Womens Health Issues 2010, 20, 178–184. [Google Scholar] [CrossRef] [PubMed]
  16. Blosnich, J.R.; Farmer, G.W.; Lee, J.G.; Silenzio, V.M.; Bowen, D.J. Health inequalities among sexual minority adults: Evidence from ten US states, 2010. Am. J. Prev. Med. 2014, 46, 337–349. [Google Scholar] [CrossRef] [PubMed]
  17. Himmelstein, M.S.; Puhl, R.M.; Watson, R.J. Weight-based victimization, eating behaviors, and weight-related health in Sexual and Gender Minority Adolescents. Appetite 2019, 104321. [Google Scholar] [CrossRef]
  18. Bucchianeri, M.M.; Eisenberg, M.E.; Neumark-Sztainer, D. Weightism, racism, classism, and sexism: Shared forms of harassment in adolescents. J. Adolesc. Health 2013, 53, 47–53. [Google Scholar] [CrossRef] [Green Version]
  19. Puhl, R.M.; Luedicke, J.; Heuer, C. Weight-based victimization toward overweight adolescents: Observations and reactions of peers. J. Sch. Health 2011, 81, 696–703. [Google Scholar] [CrossRef]
  20. Puhl, R.M.; Himmelstein, M.S.; Pearl, R.L.; Wojtanowski, A.C.; Foster, G.D. Weight Stigma Among Sexual Minority Adults: Findings from a Matched Sample of Adults Engaged in Weight Management. Obesity 2019, 27, 1906–1915. [Google Scholar] [CrossRef]
  21. Mason, T.B.; Lewis, R.J.; Heron, K.E. Indirect pathways connecting sexual orientation and weight discrimination to disordered eating among young adult lesbians. Psychol. Sex. Orientat. Gend Divers. 2017, 4, 193. [Google Scholar] [CrossRef]
  22. Myers, A.; Rosen, J.C. Obesity stigmatization and coping: Relation to mental health symptoms, body image, and self-esteem. Int. J. Obes. 1999, 23, 221. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  23. Williams, D.R.; Yu, Y.; Jackson, J.S.; Anderson, N.B. Racial differences in physical and mental health: Socio-economic status, stress and discrimination. J. Health Psychol. 1997, 2, 335–351. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  24. Puhl, R.M.; Moss-Racusin, C.A.; Schwartz, M.B.; Brownell, K.D. Weight stigmatization and bias reduction: Perspectives of overweight and obese adults. Health Educ. Res. 2007, 23, 347–358. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  25. Shiffman, S.; Stone, A.A.; Hufford, M.R. Ecological momentary assessment. Annu. Rev. Clin. Psychol. 2008, 4, 1–32. [Google Scholar] [CrossRef]
  26. Smyth, J.M.; Stone, A.A. Ecological momentary assessment research in behavioral medicine. J. Happiness Stud. 2003, 4, 35–52. [Google Scholar] [CrossRef]
  27. Stone, A.A.; Schwartz, J.E.; Neale, J.M.; Shiffman, S.; Marco, C.A.; Hickcox, M.; Paty, J.; Porter, L.S.; Cruise, L.J. A comparison of coping assessed by ecological momentary assessment and retrospective recall. J. Pers. Soc. Psychol. 1998, 74, 1670. [Google Scholar] [CrossRef] [PubMed]
  28. Carels, R.A.; Rossi, J.; Solar, C.; Selensky, J.C. An ecological momentary assessment of weight stigma among weight loss participants. J. Health Psychol. 2019, 24, 1155–1166. [Google Scholar] [CrossRef] [PubMed]
  29. Seacat, J.D.; Dougal, S.C.; Roy, D. A daily diary assessment of female weight stigmatization. J. Health Psychol. 2016, 21, 228–240. [Google Scholar] [CrossRef] [PubMed]
  30. Vartanian, L.R.; Pinkus, R.T.; Smyth, J.M. The phenomenology of weight stigma in everyday life. J. Contextual Behav. Sci. 2014, 3, 196–202. [Google Scholar] [CrossRef]
  31. Panza, E.; Fehling, K.B.; Pantalone, D.W.; Dodson, S.; Selby, E.A. Multiply marginalized: Linking minority stress due to sexual orientation, gender, and weight to dysregulated eating among sexual minority women of higher body weight. Psychol. Sex. Orientat. Gend. Divers. 2020. accepted. [Google Scholar]
  32. Deputy, N.P.; Boehmer, U. Determinants of body weight among men of different sexual orientation. Prev. Med. 2010, 51, 129–131. [Google Scholar] [CrossRef] [PubMed]
  33. Semlyen, J.; Curtis, T.; Varney, J. Sexual orientation identity in relation to unhealthy body mass index: Individual participant data meta-analysis of 93 429 individuals from 12 UK health surveys. J. Public Health 2020, 42, 98–106. [Google Scholar] [CrossRef] [PubMed]
  34. Spahlholz, J.; Baer, N.; König, H.H.; Riedel-Heller, S.; Luck-Sikorski, C. Obesity and discrimination—A systematic review and meta-analysis of observational studies. Obes. Rev. 2016, 17, 43–55. [Google Scholar] [CrossRef]
  35. Qualtrics. Available online: https://www.qualtrics.com/au/ (accessed on 6 July 2020).
  36. LifeData LLC. Available online: https://www.lifedatacorp.com (accessed on 6 July 2020).
  37. Puhl, R.M.; Brownell, K.D. Confronting and coping with weight stigma: An investigation of overweight and obese adults. Obesity 2006, 14, 1802–1815. [Google Scholar] [CrossRef]
  38. Sala, M.; Brosof, L.C.; Rosenfield, D.; Fernandez, K.C.; Levinson, C.A. Stress is associated with exercise differently among individuals with higher and lower eating disorder symptoms: An ecological momentary assessment study. Int. J. Eat. Disord. 2017, 50, 1413–1420. [Google Scholar] [CrossRef] [PubMed]
  39. Vartanian, L.R. Development and validation of a brief version of the Stigmatizing Situations Inventory. Obes. Sci. Pract. 2015, 1, 119–125. [Google Scholar] [CrossRef] [PubMed]
  40. Huynh, V.W. Ethnic microaggressions and the depressive and somatic symptoms of Latino and Asian American adolescents. J. Youth Adolesc. 2012, 41, 831–846. [Google Scholar] [CrossRef]
  41. Sutin, A.R.; Stephan, Y.; Terracciano, A. Weight discrimination and risk of mortality. Psychol. Sci. 2015, 26, 1803–1811. [Google Scholar] [CrossRef] [Green Version]
  42. Jones, A.; Remmerswaal, D.; Verveer, I.; Robinson, E.; Franken, I.H.A.; Wen, C.K.F.; Field, M. Compliance with ecological momentary assessment protocols in substance users: A meta-analysis. Addiction 2019, 114, 609–619. [Google Scholar] [CrossRef]
  43. Forman, E.M.; Schumacher, L.M.; Crosby, R.; Manasse, S.; Goldstein, S.P.; Butryn, M.; Wyckoff, E.P.; Thomas, J.G. Ecological momentary assessment of dietary lapses across behavioral weight loss treatment: Characteristics, predictors, and relationships with weight change. Ann. Behav. Med. 2017, 51, 741–753. [Google Scholar] [CrossRef]
  44. Conner, M.; Johnson, C.; Grogan, S. Gender, sexuality, body image and eating behaviours. J. Health Psychol. 2004, 9, 505–515. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  45. Wott, C.B.; Carels, R.A. Overt weight stigma, psychological distress and weight loss treatment outcomes. J. Health Psychol. 2010, 15, 608–614. [Google Scholar] [CrossRef] [PubMed]
  46. Friedman, K.E.; Reichmann, S.K.; Costanzo, P.R.; Zelli, A.; Ashmore, J.A.; Musante, G.J. Weight stigmatization and ideological beliefs: Relation to psychological functioning in obese adults. Obes. Res. 2005, 13, 907–916. [Google Scholar] [CrossRef] [PubMed]
  47. Tomiyama, A.J.; Epel, E.S.; McClatchey, T.M.; Poelke, G.; Kemeny, M.E.; McCoy, S.K.; Daubenmier, J. Associations of weight stigma with cortisol and oxidative stress independent of adiposity. Health Psychol. 2014, 33, 862. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  48. Fettich, K.C.; Chen, E.Y. Coping with obesity stigma affects depressed mood in African-American and white candidates for bariatric surgery. Obesity 2012, 20, 1118–1121. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  49. Savoy, S.; Almeida, L.; Boxer, P. The Relation of Weight Stigmatization to Psychological Adjustment. J. Appl. Soc. Psychol. 2012, 42, 2285–2308. [Google Scholar] [CrossRef]
  50. Dowd, J.J.; Bengtson, V.L. Aging in minority populations an examination of the double jeopardy hypothesis. J. Gerontol. 1978, 33, 427–436. [Google Scholar] [CrossRef]
  51. Grollman, E.A. Multiple disadvantaged statuses and health: The role of multiple forms of discrimination. J. Health Soc. Behav. 2014, 55, 3–19. [Google Scholar] [CrossRef]
  52. Rodriguez-Seijas, C.; Burton, C.L.; Adeyinka, O.; Pachankis, J.E. On the quantitative study of multiple marginalization: Paradox and potential solution. Stigma Health 2019. [Google Scholar] [CrossRef]
  53. Bowleg, L. The problem with the phrase women and minorities: Intersectionality—An important theoretical framework for public health. Am. J. Public Health 2012, 102, 1267–1273. [Google Scholar] [CrossRef]
  54. Turan, J.M.; Elafros, M.A.; Logie, C.H.; Banik, S.; Turan, B.; Crockett, K.B.; Pescosolido, B.; Murray, S.M. Challenges and opportunities in examining and addressing intersectional stigma and health. BMC Med. 2019, 17, 7. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  55. Crenshaw, K. Demarginalizing the Intersection of Race and Sex: A Black Feminist Critique of Antidiscrimination Doctrine, Feminist Theory and Antiracist Politics. Available online: http://chicagounbound.uchicago.edu/uclf/vol1989/iss1/8 (accessed on 6 June 2020).
  56. Sevelius, J.M.; Patouhas, E.; Keatley, J.G.; Johnson, M.O. Barriers and facilitators to engagement and retention in care among transgender women living with human immunodeficiency virus. Ann. Behav. Med. 2014, 47, 5–16. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  57. Richman, L.S.; Pascoe, E.; Lattanner, M. Interpersonal Discrimination and Physical Health; Oxford University Press: Oxford, UK, 2018. [Google Scholar] [CrossRef]
  58. Folkman, S.; Lazarus, R.S. Stress, Appraisal, and Coping; Springer Publishing Company: New York, NY, USA, 1984. [Google Scholar]
  59. Pachankis, J.E.; Hatzenbuehler, M.L.; Wang, K.; Burton, C.L.; Crawford, F.W.; Phelan, J.C.; Link, B.G. The burden of stigma on health and well-being: A taxonomy of concealment, course, disruptiveness, aesthetics, origin, and peril across 93 stigmas. Pers. Soc. Psychol. Bull. 2018, 44, 451–474. [Google Scholar] [CrossRef] [PubMed]
  60. Crocker, J.; Luhtanen, R. Collective self-esteem and ingroup bias. J. Pers. Soc. Psychol. 1990, 58, 60. [Google Scholar] [CrossRef]
  61. Graham, J.M.; Barnow, Z.B. Stress and social support in gay, lesbian, and heterosexual couples: Direct effects and buffering models. J. Fam. Psychol. 2013, 27, 569. [Google Scholar] [CrossRef]
  62. Doty, N.D.; Willoughby, B.L.; Lindahl, K.M.; Malik, N.M. Sexuality related social support among lesbian, gay, and bisexual youth. J. Youth Adolesc. 2010, 39, 1134–1147. [Google Scholar] [CrossRef]
  63. Van Laar, C.; Levin, S. The Experience of Stigma: Individual, Interpersonal, and Situational Influences. In Stigma and Group Inequality: Social Psychological Perspectives; Lawrence Erlbaum Associates, Inc. Publishers: Mahwah, NJ, USA, 2006; pp. 15–32. [Google Scholar]
  64. Pearl, R.L. Weight bias and stigma: Public health implications and structural solutions. Soc. Issues Policy Rev. 2018, 12, 146–182. [Google Scholar] [CrossRef]
  65. Cramer, P.; Steinwert, T. Thin is good, fat is bad: How early does it begin? J. Appl. Dev. Psychol. 1998, 19, 429–451. [Google Scholar] [CrossRef]
  66. Vartanian, L.R.; Pinkus, R.T.; Smyth, J.M. Experiences of weight stigma in everyday life: Implications for health motivation. Stigma Health 2018, 3, 85. [Google Scholar] [CrossRef]
Table 1. Items used to assess momentary stigma events in daily life.
Table 1. Items used to assess momentary stigma events in daily life.
Construct AssessedAssessment Question UsedResponse Options
Stigma occurrence and typeSince the last prompt, have you experienced stigma (i.e., felt you were perceived differently, treated differently, or singled out by others or the environment because of your sexual orientation, weight, gender, or another part of your identity?). Check all stigmatizing situations that have occurred since the last prompt.Multi-select checklist included: I have not experienced stigma; I was made fun of, teased, or called derogatory names; I was treated unfairly or prevented from doing something; I was made to feel inferior; I was excluded; I was glared at or singled out; I was judged or criticized; Others made unfair assumptions about me; I was treated with less courtesy/respect than others; I felt singled out by the environment; I felt family/friends were ashamed of me; I was harassed, threatened or followed; Unrelated problems were blamed on my sexual orientation, gender, weight, etc.; I overheard disparaging comments about my group; Other; Unsure.
Stigma frequencyHow many separate times did you experience stigma since the last prompt?Number wheel.
Perceived reason(s) for stigmaIn your opinion, what was the reason you were stigmatized?Multi-select checklist included: My weight; my sexual orientation; my gender; my race; my age; my social class; my religion; other; none
Affective response to stigmaHow did you respond to this event?Likert scale included: 1 = this event made me feel good; 2 = It did not bother me; 3 = It bothered me slightly; 4 = It upset me; 5 = This event upset me extremely
Stigma intensityHow intense was the stigmatization?Likert scale included: 0 (mild) to 10 (severe)
Stigma locationWhere did the stigmatizing event occur?Multiple choice included: Work; home; healthcare setting; recreational setting; restaurant; public transportation; public setting; other
Stigma sourceWho or what treated you unfairly?Free-response
Qualitative description of stigmaBriefly, what happened that made you feel stigmatized?Free-response
Table 2. Participant Characteristics.
Table 2. Participant Characteristics.
Baseline MeasuresValue
Age (years; mean ± SD)25.0 (± 9.3)
Race (%)
   Caucasian/White55%
   Black/African-American7%
   Asian13%
   Hispanic/Latino7%
   More than one race18%
Body Mass Index (kg/m2; mean ± SD)32.5 (± 4.9)
Education (%)
   High school graduate or equivalent7%
   Bachelor’s degree/some college67%
   Associate’s degree7%
   Graduate degree/some graduate school18%
Gender Identity (%)
   Cisgender96%
   Gender-queer/gender non-conforming4%
Notes: SD, standard deviation.
Table 3. Lifetime weight stigma as measured by the Stigmatizing Situations Inventory.
Table 3. Lifetime weight stigma as measured by the Stigmatizing Situations Inventory.
Lifetime Weight Stigma
(SSI Subscales)
% of Participants Who Experienced the SituationMeanSDRangeSubscale α
People making negative assumptions about you69%1.681.720–6.000.84
Being excluded62%1.551.810–6.500.45
Comments from children87%1.551.400–4.750.70
Comments from others96%1.430.930–3.640.75
Comments from family93%1.420.990–3.710.64
Being stared at80%1.301.280–4.200.71
Comments from doctors84%1.221.120–4.500.79
Physical barriers or obstacles83%0.970.780–3.290.64
Loved ones being embarrassed by your size60%0.861.140–4.670.50
Physical violence14%0.491.560–7.00n/a
Job discrimination26%0.280.620–3.000.41
Overall score100%1.240.790.02–2.98n/a
Notes: SD, standard deviation; α = coefficient alpha. (0 = Never, 1 = Once in your life, 2 = Several times in your life, 3 = About once a year, 4 = Several times a year, 5 = About once a month, 6 = Several times a month, 7 = About once a week, 8 = Several times a week, 9 = Daily).
Table 4. Types and sources of perceived momentary weight stigma reported in daily life.
Table 4. Types and sources of perceived momentary weight stigma reported in daily life.
Types of Perceived Weight StigmaMomentary Weight Stigma Events
N% of Events
Glared at or singled out1330%
Environmental barriers1125%
Others made unfair assumptions614%
Judged or criticized49%
Made to feel inferior37%
Felt that family/friends were ashamed37%
Unrelated problems blamed on weight25%
Excluded12%
Treated with less courtesy/respect12%
Sources of Perceived Weight StigmaN% of Events
Children/teens1228%
Retail workers (e.g., store clerks)1023%
Strangers921%
Family49%
Friends/Peers49%
The environment (e.g., not being able to fit into clothing)49%
Professionals (e.g., a client)12%
Table 5. Qualitative descriptions of perceived weight stigma events in daily life.
Table 5. Qualitative descriptions of perceived weight stigma events in daily life.
What Happened that Made You Feel Stigmatized?
  • A bad situation I was in was blamed on my “unhealthy habits”, aka gaining some weight at the time.
  • People stared at me while at the bus stop because I was slouching. Maybe it was because I was wearing a short sleeved shirt in chilly weather because I get easily warm because of my weight.
  • I could not find clothes that looked good when it was going to be warm.
  • My friend’s child was complimenting my dress and then said that I looked like I was having a baby. I feel really confident in the dress I’m wearing and have felt that it camouflaged my belly well but I guess I’m wrong.
  • My son made negative comments about me.
  • The teachers and students sometimes assumed that I am lazy or stupid.
  • The students made fun of me.
  • Could not find my clothes size. The woman helping me kept making noises.
  • In the grocery store, I expressed out loud my desire to eat pizza for dinner to my mother, which prompted a stranger to turn their head and stare.
  • I was offered clothes that were too small.
  • Because of my appearance, someone assumed that I was single.
  • I couldn’t find clothes that fit or were flattering for my figure.
  • Felt that I shouldn’t go into a physical therapy pool due to my size and me wearing men’s swim shorts and a t-shirt.
  • When I sat in the seat on the bus, my lower body touched the people next to me because the seat was small.
  • The students disrespected me.
  • I was ignored.
  • Trying to fit through the tables at school.
  • Glaring at me and sighing.

Share and Cite

MDPI and ACS Style

Panza, E.; Olson, K.; Goldstein, C.M.; Selby, E.A.; Lillis, J. Characterizing Lifetime and Daily Experiences of Weight Stigma among Sexual Minority Women with Overweight and Obesity: A Descriptive Study. Int. J. Environ. Res. Public Health 2020, 17, 4892. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph17134892

AMA Style

Panza E, Olson K, Goldstein CM, Selby EA, Lillis J. Characterizing Lifetime and Daily Experiences of Weight Stigma among Sexual Minority Women with Overweight and Obesity: A Descriptive Study. International Journal of Environmental Research and Public Health. 2020; 17(13):4892. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph17134892

Chicago/Turabian Style

Panza, Emily, KayLoni Olson, Carly M. Goldstein, Edward A. Selby, and Jason Lillis. 2020. "Characterizing Lifetime and Daily Experiences of Weight Stigma among Sexual Minority Women with Overweight and Obesity: A Descriptive Study" International Journal of Environmental Research and Public Health 17, no. 13: 4892. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph17134892

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop