The Adverse Effect of Weight Stigma on the Well-Being of Medical Students with Overweight or Obesity: Findings from a National Survey
- 3k Downloads
- 11 Citations
ABSTRACT
BACKGROUND
The stigma of obesity is a common and overt social bias. Negative attitudes and derogatory humor about overweight/obese individuals are commonplace among health care providers and medical students. As such, medical school may be particularly threatening for students who are overweight or obese.
OBJECTIVE
The purpose of our study was to assess the frequency that obese/overweight students report being stigmatized, the degree to which stigma is internalized, and the impact of these factors on their well-being.
DESIGN
We performed cross-sectional analysis of data from the Medical Student Cognitive Habits and Growth Evaluation Study (CHANGES) survey.
PARTICIPANTS
A total of 4,687 first-year medical students (1,146 overweight/obese) from a stratified random sample of 49 medical schools participated in the study.
MAIN MEASURES
Implicit and explicit self-stigma were measured with the Implicit Association Test and Anti-Fat Attitudes Questionnaire. Overall health, anxiety, depression, fatigue, self-esteem, sense of mastery, social support, loneliness, and use of alcohol/drugs to cope with stress were measured using previously validated scales.
KEY RESULTS
Among obese and overweight students, perceived stigma was associated with each measured component of well-being, including anxiety (beta coefficient [b] = 0.18; standard error [SE] = 0.03; p < 0.001) and depression (b = 0.20; SE = 0.03; p < 0.001). Among the subscales of the explicit self-stigma measure, dislike of obese people was associated with several factors, including depression (b = 0.07; SE = 0.01; p < 0.001), a lower sense of mastery (b = −0.10; SE = 0.02; p < 0.001), and greater likelihood of using drugs or alcohol to cope with stress (b = 0.05; SE = 0.01; p < 0.001). Fear of becoming fat was associated with each measured component of well-being, including lower body esteem (b = −0.25; SE = 0.01; p < 0.001) and less social support (b = −0.06; SE = 0.01; p < 0.001). Implicit self-stigma was not consistently associated with well-being factors. Compared to normal-weight/underweight peers, overweight/obese medical students had worse overall health (b = −0.33; SE = 0.03; p < 0.001) and body esteem (b = −0.70; SE = 0.02; p < 0.001), and overweight/obese female students reported less social support (b = −0.12; SE = 0.03; p < 0.001) and more loneliness (b = 0.22; SE = 0.04; p < 0.001).
CONCLUSIONS
Perceived and internalized weight stigma may contribute to worse well-being among overweight/obese medical students.
KEY WORDS
Medical students Stigmatization Psychological stress Obesity Body weightTo succeed academically and professionally, medical students must withstand the stress of medical school, including learning new and complex material, meeting faculty expectations, interacting with patients, making new friends and colleagues, and assimilating the culture of medicine.1, 2, 3 Ability to cope with stress is important to health and professional development, as medical student stress is linked to burnout, substance use, mental health problems, suicidal thoughts, and poor academic performance.1,4, 5, 6 Stress also disproportionately affects female medical students, who may then be more vulnerable to these outcomes.5,7, 8, 9
Self-esteem, physical and emotional health, fatigue, sense of mastery, and social support all affect vulnerability to stress.10,11 Members of stigmatized groups, including overweight/obese individuals, may face additional stress.12, 13, 14, 15, 16, 17 Experiences of weight-related stigma can have negative effects on self-esteem, health, and well-being.12, 13, 14,17, 18, 19, 20, 21, 22, 23 Overweight/obese individuals may also be self-stigmatized, i.e., exhibit negative, self-deprecating attitudes about themselves, which may worsen their overall well-being.24, 25, 26
These additional stressors may challenge students’ ability to cope in the competitive medical school environment. Although little is known about the experience of these medical students, several studies have documented strong anti-fat attitudes among health care providers and trainees,27, 28, 29, 30, 31 and suggest that overweight/obese individuals are a common target of derogatory humor among medical students.32,33
The present study aimed to assess whether stigma or self-stigma is associated with factors that affect vulnerability to stress among overweight and obese medical students. We hypothesized that 1) these medical students, and female students in particular, have worse self-reported outcomes than normal-weight/underweight medical students on factors affecting vulnerability to stress; and that 2) among overweight/obese students, experiencing more stigma/self-stigma is associated with worse outcomes.
METHODS
Sample
This study used data from the Medical Student Cognitive Habits and Growth Evaluation Study (CHANGES), a study of first-year students at Liaison Committee on Medical Education (LCME)-accredited U.S. medical schools that was conducted in the fall of 2010. Our research study was approved by the institutional review board of the Mayo Clinic. We randomly selected 50 medical schools from the strata of public and private schools in six regions of the country, using sample-proportional-to-strata-size methodology. One sampled school with highly unique characteristics (military school) was excluded, leaving a sample of 49 schools. From these schools, we invited 5,823 first-year students (68 % of all first-year medical students attending sampled schools) to participate in a Web-based survey. We used a three-part ascertainment strategy (see Phelan et al.27). First, the AAMC inserted a question into their voluntary Matriculating Student Questionnaire, sent to all incoming students, asking respondents to provide an email address in order to learn more about our study. Second, we purchased a list of first-year students from an AMA-licensed vendor. Third, we asked survey respondents to send study information to their classmates. The sample (n = 4,732) comprised 81 % of those who were sent an invitation and 55 % of the entire pool of first-year medical students at study schools. Of the 4,732 students, 34 were excluded due to incomplete questionnaires or evidence of systematic response bias. Of the remaining 4,698 students, 4,687 had non-missing height and weight information.
Data Collection and Integrity
Data were collected online between October and December 2010. All students completed the survey during their first semester of medical school. Students were sent an email with a link to an online questionnaire. If participants chose not to answer a question, they were required to click on a button to indicate their desire to skip the question. This protected the participant’s right to skip questions, while eliminating time-saving incentives for doing so. Students were randomly assigned to complete either the Weight Implicit Association Test (IAT), a measure of implicit bias, (n = 2,370), or an IAT measuring bias against a different stigmatized group. Participants received a $50.00 cash incentive.
MEASURES
We used previously validated scales with satisfactory psychometric properties. Unless otherwise noted, scale variables are a mean of indicator items identified by principal component analysis. Scale variables were created if the respondent completed at least 60 % of items making up a scale. Except where noted below, items were measured on a 5-point scale. To limit respondent burden, subsets of items were selected from longer scales to represent specified subscales. Height and weight were self-reported and body mass index (BMI) was calculated and categorized as overweight/obese (BMI = 25 or higher) or normal/underweight (BMI = 24.9 or lower).
Stress Vulnerability Factors
Self-esteem. Self-esteem was measured using items selected from all three subscales of the 20-item State Self-Esteem Scale: 1) Confidence in Cognitive Abilities (Cronbach’s alpha (α) = 0.83), consisting of four items, including “I feel as smart as others;” 2) Body Esteem (α = 0.80), consisting of three items, including “I am pleased with my appearance right now;” and 3) Importance of Impression on Others (α = 0.79), consisting of four items, including “I am worried about looking foolish.”34
Physical Health, Fatigue, and Emotional Health. Self-assessed physical health was measured using a single item from the Medical Outcomes Study Short Form Health Survey,35 “How is your overall health right now?” Responses ranged from “excellent” to “poor.” Anxiety (α = 0.92), depression (α = 0.94), and fatigue (α = 0.88) were measured using the Patient-Reported Outcomes Measurement Information System (PROMIS) short forms.36, 37, 38
Mastery. An individual’s sense of power and control over his/her life was measured using the seven-point Pearlin Mastery Scale (α = 0.82).39 Items included “I have little control over the things that happen to me.”
Social Support. We included measures of both social support and social isolation. Social support was measured using the 19-item Medical Outcomes Study Social Support Survey (α = 0.96).40 Items included “How often do you have someone to confide in or talk to about yourself.” Loneliness was measured using the three-item Brief UCLA Social Loneliness Scale (α = 0.84), including “How often do you feel left out?”41
Substance Use for Coping. The use of drugs or alcohol to cope with stress was measured as a single item from the Brief COPE measure.42 Participants indicated on a four-point scale how often they used drugs or alcohol to cope with stress.
Stigma
Self-stigma. Items selected from Crandall’s Anti-Fat Attitudes Questionnaire were used to assess explicit self-stigma among overweight/obese students.43 This scale has three subscales: 1) Dislike (α = 0.86), three items, e.g., “I really don’t like fat people much"; 2) Willpower (α = 0.74), two items, e.g., “Fat people tend to be fat pretty much through their own fault”; and 3) Fear of Fat (α = 0.79), two items, e.g., “I feel disgusted with myself when I gain weight.” All items were measured on a seven-point scale, from “strongly disagree” to “strongly agree.”
The Fat-Thin IAT was used to measure automatic self-stigma among overweight/obese students. This measure compares the length of time that respondents use to categorize images of fat and thin people with positive and negative words. The IAT has been extensively validated and shown to predict discriminatory behavior independently of explicit attitudes.44,45 IAT D (difference) scores (range: −2 to 2) were categorized according to commonly used cut points for slight (0.15–0.35), moderate (0.36–0.60), and strong (> 0.60) attitudes.
Perceived Stigma. Experiences of stigma were assessed using the nine-item Everyday Discrimination Scale (α = 0.87), which measures the frequency of perceived poor treatment.46 Examples of items include “In your day-to-day life, how often are you treated with less respect than other people?” Items in the six-point response scale range from “once a week or more” to “never.”
Covariates
Race, gender, age, and relationship status were measured using standard questionnaire items. Race was categorized into students who self-identified as non-Hispanic white compared to all other race/ethnicity groups. Highest educational attainment of either parent (any graduate degree, college degree, or less than a college degree) was used as a marker for socioeconomic status. Social desirability bias was measured using seven items from the Marlowe-Crowne Social Desirability Index.47
Analysis
All analyses were weighted to account for stratified sampling of schools. Associations between overweight/obese BMI and stress vulnerability factors were assessed in multivariate linear regression models, adjusted for gender, age, non-white race, relationship status, parents’ highest education, and social desirability. Students who were overweight or obese were categorized together in order to identify the largest group of students who were at risk and who might be targeted for supportive interventions. We then added interactions between BMI and gender to each model to test whether associations between BMI and stress vulnerability factors varied by gender. For each model where the interaction term was significant (p < 0.10), we evaluated the associations between BMI and stress vulnerability factors separately for men and women.
We calculated the adjusted mean perceived stigma and IAT scores for overweight/obese students, accounting for all covariates, and measured endorsement of items indicating explicit self-stigma.
We used multivariate linear regression models to assess the associations between self-stigma and each stress vulnerability factor among students who were overweight/obese. The traditional significance level of p < 0.05 was used for all analyses. Although with large samples, statistically significant effects at p < 0.05 may reflect relatively small effect sizes, small but systematic effects for the variables we studied can have a meaningful impact on mental health.
Key Results
Sample Characteristics for 4,687 First-Year Medical Students Participating in Medical Student CHANGES, a 2010 Web-Based Study of Students at 49 LCME-Accredited U.S. Medical Schools
| Sample % (n) | |
|---|---|
| BMI category | |
| Underweight (BMI < 18.5) | 3.5 % (163) |
| Normal-weight (BMI: 18.5 to 24.9) | 72.1 % (3,378) |
| Overweight (BMI: 25.0 to 29.9) | 19.7 % (922) |
| Obese (BMI ≥ 30) | 4.8 % (224) |
| Age | 23.9 (2.6) |
| Female | 50.0 % (2,344) |
| Race/ethnicity | |
| Non-white | 36.7 % (1,689) |
| Non-Hispanic white | 63.3 % (2,913) |
| Parents’ highest education | |
| Graduate degree | 62.8 % (2,938) |
| College degree | 21.8 % (1,023) |
| No college degree | 15.4 % (721) |
| Relationship status | |
| Married, engaged, or cohabiting | 16.9 % (791) |
| Not in a relationship or in a relationship but not cohabiting | 83.1 % (3,896) |
Well-being/Stress Vulnerability Factors
Descriptive Statistics and Associations Between Obese/Overweight BMI and Stress Vulnerability Factors in the Medical Student CHANGES Study, a 2010 Web-Based Survey Study of 4,687 First-Year Medical Students from 49 LCME-Accredited U.S. Medical Schools
| Measure (scale range) | Mean* obese/overweight (BMI ≥ 25) n = 1,146 | Mean* normal/underweight (BMI < 25) n = 3,541 | Beta coefficient (standard error)a | p value | p value for BMI category*gender interaction |
|---|---|---|---|---|---|
| Overall health (1–5) | 3.49 | 3.82 | −0.33 (0.03) | <0.001† | 0.05 |
| Anxiety symptoms (1–5) | 2.61 | 2.59 | 0.03 (0.03) | 0.46 | 0.68 |
| Depression symptoms (1–5) | 1.80 | 1.83 | −0.03 (0.03) | 0.24 | 0.17 |
| Fatigue symptoms (1–5) | 2.88 | 2.85 | 0.04 (0.03) | 0.23 | 0.49 |
| State self-esteem: confidence in cognitive abilities subscale (1–5) | 3.54 | 3.55 | −0.01 (0.02) | 0.45 | 0.31 |
| State self-esteem: body esteem subscale (1–5) | 2.83 | 3.52 | −0.70 (0.02) | <0.001 | <0.001 |
| State self-esteem: impression on others subscale (1–5) | 3.24 | 3.26 | −0.03 (0.03) | 0.35 | 0.97 |
| Mastery (1–7) | 5.68 | 5.64 | 0.04 (0.03) | 0.09 | 0.08 |
| Social Support (1–5) | 4.08 | 4.11 | −0.03 (0.03) | 0.23 | 0.002 |
| Loneliness (1–5) | 2.40 | 2.35 | 0.05 (0.02) | 0.03 | <0.001 |
| Use of alcohol/drugs to cope (1–4) | 1.52 | 1.45 | 0.07 (0.02) | 0.007 | 0.32 |
Associations Between Obese/Overweight BMI and Stress Vulnerability or Resiliency Factors by Gender in the Medical Student CHANGES, a 2010 Web-Based Survey Study of 4,687 First-Year Medical Students From 49 LCME-Accredited U.S. Medical Schools
| Measure (scale range) | Women (n = 2,344) | Men (n = 2,343) | ||||||
|---|---|---|---|---|---|---|---|---|
| Mean* obese/overweight n = 378 | Mean normal/under weight n = 1,966 | b (SE) | p † | Mean obese/overweight n = 768 | Mean normal/under weight n = 1,575 | b (SE) | p | |
| Overall health (1–5) | 3.35 | 3.74 | −0.40 (0.04) | <0.001 | 3.60 | 3.89 | −0.29 (0.03) | <0.001 |
| Body esteem (1–5) | 2.46 | 3.37 | −0.91 (0.04) | <0.001 | 3.09 | 3.67 | −0.57 (0.03) | <0.001 |
| Social support (1–5) | 4.11 | 4.23 | −0.12 (0.03) | <0.001 | 4.01 | 3.99 | 0.02 (0.03) | 0.49 |
| Loneliness (1–5) | 2.55 | 2.33 | 0.22 (0.04) | <0.001 | 2.33 | 2.37 | −0.04 (0.03) | 0.27 |
| Mastery (1–7) | 5.58 | 5.60 | −0.02 (0.04) | 0.67 | 5.76 | 5.68 | 0.08 (0.03) | 0.02 |
Perceived Stigma and Self-Stigma
Overweight and obese students reported more perceived stigma during their lifetime than underweight/normal-weight students (scale mean difference = 0.12; p < 0.001). These associations did not vary significantly between men and women. A substantial proportion of overweight/obese students displayed some degree of explicit self-stigma. At least one item on each of the Anti-Fat Attitudes subscales was endorsed, including dislike of fat people (n = 268, 24 %), willpower (n = 758, 67 %), and "fear of fat" (n = 976, 87 %). Implicit self-stigma was common in the sample (n = 561) that completed the Fat-Thin IAT. Anti-fat implicit bias was demonstrated by 69 % (n = 389) of overweight/obese students, with 53 % (n = 298) exhibiting moderate or strong anti-fat bias.
Perceived Stigma, Self-Stigma, and Stress Vulnerability Factors
Beta Coefficients (b) and Standard Errors (SE) for Linear Associations Between Discrimination/Self-Stigma and Stress Vulnerability Factors among 1,146 Obese/Overweight Students in the Medical Student CHANGES Study, a 2010 Web-Based Survey Study of First-Year Medical Students from 49 LCME-Accredited U.S. Medical Schools
| Measure (scale range) | Perceived stigma (1–7)_ b (SE) n = 1,146 | Explicit self-stigma b (SE) (1–7) n = 1,146 | Implicit self-stigma b (SE) (−2 to 2) n = 561 | ||
|---|---|---|---|---|---|
| Dislike | Willpower | Fear | |||
| Overall health (1–5) | −0.11 (0.03)‡§ | 0.01 (0.02) | 0.04 (0.02)*∥ | −0.11 (0.01) ‡ | 0.06 (0.06) |
| Anxiety (1–5) | 0.18 (0.03) ‡ | 0.06 (0.01)† | −0.01 (0.01) | 0.15 (0.02) ‡ | −0.06 (0.06) |
| Depression (1–5) | 0.20 (0.03) ‡ | 0.07 (0.01) ‡ | −0.03 (0.02) | 0.13 (0.01) ‡ | −0.07 (0.07) |
| Fatigue (1–5) | 0.13 (0.03) ‡ | 0.03 (0.02) | −0.01(0.01) | 0.10 (0.01) ‡ | −0.02 (0.07) |
| State self-esteem: confidence in cognitive abilities subscale (1–5) | −0.11 (0.03) ‡ | −0.03 (0.02) | 0.02 (0.01) | −0.10 (0.01) ‡ | −0.04 (0.06) |
| State self-esteem: body esteem subscale (1–5) | −0.07 (0.03)* | 0.01 (0.02) | 0.01 (0.01) | −0.25 (0.01) ‡ | −0.16 (0.06)* |
| State self-esteem: impression on others subscale (1–5) | −0.09 (0.04)* | −0.07 (0.02) ‡ | 0.02 (0.01) | −0.15 (0.02) ‡ | −0.03 (0.07) |
| Mastery (1–7) | −0.25 (0.03) ‡ | −0.10 (0.02) ‡ | 0.05 (0.02)† | −0.15 (0.01) ‡ | 0.08 (0.07) |
| Social Support (1–5) | −0.21 (0.03) ‡ | −0.07 (0.02) ‡ | 0.04 (0.01)* | −0.06 (0.01) ‡ | 0.11 (0.06) |
| Loneliness (1–5) | 0.26 (0.03) ‡ | 0.06 (0.02) ‡ | 0.01 (0.02) | 0.15 (0.01) ‡ | −0.11 (0.05)* |
| Use alcohol/drugs to cope (1–4) | 0.10 (0.03)† | 0.05 (0.01) ‡ | 0.01 (0.02) | 0.05 (0.01) ‡ | −0.04 (0.06) |
Among the explicit self-stigma measures, explicit dislike of fat people was associated with anxiety, depression, the importance of impression on others subscale of the self-esteem scale, sense of mastery, social support, loneliness, and use of alcohol or drugs to cope with stress. A stronger belief that willpower is a major determinant of obesity was associated with better overall health, a greater sense of mastery, and more social support. Fear of fat was strongly associated with all of the stress vulnerability factors. Implicit self-stigma was associated with lower body esteem, less loneliness, and less perceived stress.
DISCUSSION
Overweight and obese medical students had significantly worse overall health and lower body esteem than normal-weight/underweight students, and were more likely to use drugs or alcohol to cope with stress, placing them at elevated risk for stress, which in turn could increase the risk of professional burnout,48 lower professionalism and empathy,49,50 lower academic performance,49,51, 52, 53 poor mental health,49,54 substance abuse,55 and suicidal ideation.56 Female students who were overweight/obese also reported less social support and more loneliness than their normal/underweight counterparts, suggesting that these students are more prone to the isolation and lack of support structure that impair health and predict burnout.57, 58, 59, 60 Overweight/obese men (but not women) felt a greater sense of mastery, a psychological coping resource. One possible explanation for this finding is that men, but not women, who are overweight/obese must achieve a higher level of mastery than their peers in order to be competitive in medical school. More work is needed to understand these gender differences.
Students who were overweight/obese perceived more stigma, even after adjusting for race, gender, socioeconomic status, and age. Moreover, among overweight/obese students, perceived stigma was almost universally associated with conditions known to increase the risk of stress and reduce the ability to effectively cope with stress. This finding is noteworthy given the documented pressure of medical school and the link between stigma and risk of stress-related chronic diseases.15,61 In addition, evidence that physicians and trainees exhibit high levels of prejudice against individuals who are obese27,62, 63, 64 suggests that medical school may be especially threatening and stressful to overweight and obese students. However, first-year medical students who were overweight/obese had similar anxiety and depressive symptoms, self-esteem, and sense of mastery as their normal/underweight counterparts. This may be due to the universally heightened uncertainty that students experience during the first semester of medical school, which may have obscured group differences.
We found high levels of implicit and explicit self-stigma among overweight/obese students, among whom 70 % implicitly associated greater body size with negative words, suggesting internalization of these beliefs. Explicit self-stigma was associated with several stress vulnerability factors, although the strength of association varied among self-stigma components. Fear of gaining weight was strongly associated with each stress vulnerability measure. Dislike of fat people was also associated with greater depression and anxiety and lower self-esteem. The high prevalence of these attitudes suggests that the explicit in-group bias that can protect members of some minority groups may not apply for this group. Furthermore, as medical students and members of a generation exposed to public health messages touting the “war on obesity,” they may be especially likely to view obesity as a dangerous risk factor. This belief, though consistent with experience and social norms, is inconsistent with the need to maintain self-esteem—a conflict with negative implications for health and well-being.
Blaming people for being fat was not consistently associated with stress-related factors. The few associations with blame that reached significance were in a direction suggesting greater resiliency. This is surprising, given evidence that controllability beliefs are predictors of prejudice.65 It may be that the belief that weight is modifiable through willpower reinforces a sense of control over one’s own weight and protects against a feeling of helplessness. Another possibility, consistent with the system justification theory66, is that assimilation to the majority view of the causes of obesity increases one’s sense of belonging in medical school and common group identity with other students. This may also explain why implicit self-stigma was associated with less loneliness and perceived stress. Further study is warranted to examine whether perceived controllability of weight and implicit self-stigma are protective in some cases.
Implicit self-stigma was highly prevalent among overweight/obese students, suggesting that there is little automatic in-group bias in this population. Given the fact that in-group bias may protect self-esteem against the effects of stigma, the strong pro-thin implicit preferences found here are striking. Surprisingly, implicit self-stigma was not associated with worse well-being.
The primary limitation of this research is the cross-sectional nature of these data, which preclude inferences of causality. The focus of the survey on first-year students limits the generalizability of the findings to advanced trainees. However, first-year students represent a critical and vulnerable point3 in the progression toward a medical career, and thus are important to study in their own right. The current findings provide evidence that this population may require supportive services to prevent further degradation of well-being. Longitudinal study is needed to assess whether differences persist throughout medical school, and whether the trajectory of change for other factors differs according to BMI. Although we selected items from two scales that were representative of the concepts measured, we note that using selected items may affect measure validity. Also, many statistically significant associations have small effect sizes, and the clinical significance of these effects is difficult to assess. However, small differences that occur systematically may be meaningful, especially if those differences grow over time. Other limitations include the lack of direct measurement of student health or height/weight. However, the data were collected in a large national sample of medical students using validated measures, and provide novel insights regarding self-stigma and well-being among obese and overweight medical students.
We hypothesized that medical students who were overweight or obese—and female students in particular—have worse physical/mental health, fatigue, self-esteem, social support, and sense of mastery than non-overweight students. We found evidence to support this hypothesis for some but not all factors. We further hypothesized that among these students, those who have experienced more stigma or who are self-stigmatized will have worse outcomes. This hypothesis was supported by the data, with variation in experiences and attitudes associated with each factor. Our findings suggest that stigmatizing experiences may erode these students’ ability to cope with stress.
Medical schools should consider ways to support this group of students. Strategies that foster a non-threatening environment include enforcing zero tolerance of derogatory comments about overweight/obese patients, ensuring that curricula emphasize complex multifactorial causes of obesity, and including obesity and other stigmatized conditions in discussions about bias and disparities in care. To support students, schools could provide counselors trained to identify the effects of stigma on students’ ability to cope with stress, promote student awareness of the effects of stress on physical and mental health, and help students learn adaptive ways to regulate emotions. Additional qualitative research or more systematic information about programs to address the stigma of being overweight would complement the survey results from the present study in a valuable way. Effective strategies and interventions will benefit stigmatized students as well as the overall student body.
Notes
Acknowledgments
Dr. Phelan is supported by the National Institute of Diabetes and Digestive and Kidney Diseases of the National Institutes of Health under award number K01DK095924. Ms. Przedworski was supported by the National Cancer Institute Cancer Education and Career Development Program under award number 5R25CA163184. Dr. Hardeman was supported by the National Heart, Lung, and Blood Institute (NHLBI) Research Supplement to Promote Diversity in Health-Related Research under award number 3 R01 HL085631-02S2 and an Associated Health Postdoctoral Research Fellowship from the Department of Veterans Affairs. Dr. Perry was supported by the Research Supplement to Promote Diversity in Health-Related Research under award R01HL085631-S1. Other support for this research was provided by the NHLBI under award number R01HL085631. The views expressed in this article are those of the authors and do not necessarily represent the views of NIH or the Department of Veterans Affairs.
This manuscript has not been previously published and is not under consideration in the same or substantially similar form in any other journal.
All those listed as authors are qualified for authorship, and all who are qualified to be authors are listed as authors on the byline.
Ethical Approval
This research study was approved by the institutional review board of the Mayo Clinic (#13-004612, 7/31/13).
Conflicts of Interest
The authors declare that they have no conflicts of interest.
References
- 1.Dyrbye LN, Harper W, Durning SJ, et al. Patterns of distress in US medical students. Med Teach. 2011;33:834–9.CrossRefPubMedGoogle Scholar
- 2.Guthrie EA, Black D, Shaw CM, Hamilton J, Creed FH, Tomenson B. Embarking upon a medical career: psychological morbidity in first year medical students. Med Educ. 1995;29:337–41.CrossRefPubMedGoogle Scholar
- 3.Murphy JM, Nadelson CC, Notman MT. Factors influencing first-year medical students’ perceptions of stress. J Human Stress. 1984;10:165–73.CrossRefPubMedGoogle Scholar
- 4.Dyrbye LN, Shanafelt TD. Commentary: medical student distress: a call to action. Acad Med. 2011;86:801–3.CrossRefPubMedGoogle Scholar
- 5.Dyrbye LN, Thomas MR, Shanafelt TD. Systematic review of depression, anxiety, and other indicators of psychological distress among U.S. and Canadian medical students. Acad Med. 2006;81:354–73.CrossRefPubMedGoogle Scholar
- 6.Guthrie E, Black D, Bagalkote H, Shaw C, Campbell M, Creed F. Psychological stress and burnout in medical students: a five-year prospective longitudinal study. J R Soc Med. 1998;91:237–43.PubMedCentralPubMedGoogle Scholar
- 7.Goebert D, Thompson D, Takeshita J, et al. Depressive symptoms in medical students and residents: a multischool study. Acad Med. 2009;84:236–41.CrossRefPubMedGoogle Scholar
- 8.Dahlin M, Joneborg N, Runeson B. Stress and depression among medical students: a cross-sectional study. Med Educ. 2005;39:594–604.CrossRefPubMedGoogle Scholar
- 9.Toews JA, Lockyer JM, Dobson DJ, et al. Analysis of stress levels among medical students, residents, and graduate students at four Canadian schools of medicine. Acad Med. 1997;72:997–1002.CrossRefPubMedGoogle Scholar
- 10.Kliewer W, Sandler IN. Locus of control and self-esteem as moderators of stressor-symptom relations in children and adolescents. J Abnorm Child Psychol. 1992;20:393–413.CrossRefPubMedGoogle Scholar
- 11.Hamilton NA, Catley D, Karlson C. Sleep and the affective response to stress and pain. Health Psychol. 2007;26:288–95.CrossRefPubMedGoogle Scholar
- 12.Carr D, Friedman MA. Is obesity stigmatizing? Body weight, perceived discrimination, and psychological well-being in the United States. J Health Soc Behav. 2005;46:244–59.CrossRefPubMedGoogle Scholar
- 13.Crocker J, Cornwell B, Major B. The stigma of overweight: affective consequences of attributional ambiguity. J Pers Soc Psychol. 1993;64:60–70.CrossRefPubMedGoogle Scholar
- 14.Friedman KE, Ashmore JA, Applegate KL. Recent experiences of weight-based stigmatization in a weight loss surgery population: psychological and behavioral correlates. Obesity (Silver Spring). 2008;16(Suppl 2):S69–74.CrossRefGoogle Scholar
- 15.Pascoe EA, Smart RL. Perceived discrimination and health: a meta-analytic review. Psychol Bull. 2009;135:531–54.PubMedCentralCrossRefPubMedGoogle Scholar
- 16.Verkuyten M. Perceived discrimination and self-esteem among ethnic minority adolescents. J Soc Psychol. 1998;138:479–93.CrossRefPubMedGoogle Scholar
- 17.Major B, O’Brien LT. The social psychology of stigma. Annu Rev Psychol. 2005;56:393–421.CrossRefPubMedGoogle Scholar
- 18.Puhl R, Brownell KD. Ways of coping with obesity stigma: review and conceptual analysis. Eat Behav. 2003;4:53–78.CrossRefPubMedGoogle Scholar
- 19.Puhl R, Moss-Racusin C, Schwartz M. Internalization of weight bias: Implications for binge eating and emotional well-being. Obesity (Silver Spring). 2007;15:19–23.CrossRefGoogle Scholar
- 20.Puhl RM. Coping with weight stigma. In: Brownell KD, Puhl RM, Schwartz MB, Rudd L, eds. Weight bias: Nature, Consequences, and Remedies. New York: The Guilford Press; 2005.Google Scholar
- 21.Phelan SM, Burgess DJ, Yeazel M, Hellerstedt W, Griffin J, van Ryn, M. The Impact of weight bias and stigma on quality of care and outcomes for obese patients. Obesity Reviews. 2015. In press.Google Scholar
- 22.Link BG, Phelan JC. Stigma and its public health implications. Lancet. 2006;367:528–9.CrossRefPubMedGoogle Scholar
- 23.Myers AM, Rothblum ED. Coping with prejudice and discrimination based on weight. In: Chin JL, ed. The Psychology of Prejudice and Discrimination: disability, Religion, Physique, and Other Traits, vol. 4. Westport: Praeger Publishers; 2005.Google Scholar
- 24.Jost JT, Burgess DJ, Mosso C. Conflicts of Legitimation Among Self, Group, and System: The Integrative Potential of System Justification Theory. In: Jost JT, Major B, eds. The Psychology of Legitimacy: emerging Perspectives on Ideology, Justice, and Intergroup Relations. New York: Cambridge University Press; 2001:363–88.Google Scholar
- 25.Hilbert A, Braehler E, Haeuser W, Zenger M. Weight bias internalization, core self-evaluation, and health in overweight and obese persons. Obesity (Silver Spring). 2014;22:79–85.CrossRefGoogle Scholar
- 26.Pearl RL, White MA, Grilo CM. Weight bias internalization, depression, and self-reported health among overweight binge eating disorder patients. Obesity (Silver Spring). 2013;22:E142–8.CrossRefGoogle Scholar
- 27.Phelan SM, Dovidio JF, Puhl RM, et al. Implicit and explicit weight bias in a national sample of 4,732 medical students: the medical student CHANGES study. Obesity. 2013;22:1201–8.CrossRefGoogle Scholar
- 28.Brown I. Nurses’ attitudes towards adult patients who are obese: literature review. J Adv Nurs. 2006;53:221–32.CrossRefPubMedGoogle Scholar
- 29.Budd GM, Mariotti M, Graff D, Falkenstein K. Health care professionals’ attitudes about obesity: an integrative review. Appl Nurs Res. 2009;24:127–37.CrossRefPubMedGoogle Scholar
- 30.Puhl RM, Heuer CA. The stigma of obesity: a review and update. Obesity (Silver Spring). 2009;17:941–64.CrossRefGoogle Scholar
- 31.Schwartz MB, Chambliss HO, Brownell KD, Blair SN, Billington C. Weight bias among health professionals specializing in obesity. Obes Res. 2003;11:1033–9.CrossRefPubMedGoogle Scholar
- 32.Wear D, Aultman JM, Varley JD, Zarconi J. Making fun of patients: medical students’ perceptions and use of derogatory and cynical humor in clinical settings. Acad Med. 2006;81:454–62.CrossRefPubMedGoogle Scholar
- 33.Puhl RM, Grilo C, Luedicke J. Obesity bias in training: attitudes, beliefs, and observations among advanced trainees in professional health disciplines. Obesity. 2013. doi: 10.1002/oby.20637.PubMedCentralGoogle Scholar
- 34.Heatherton TF, Polivy J. Development and validation of a scale for measuring state self esteem. J Pers Soc Psychol. 1991;60:895–910.CrossRefGoogle Scholar
- 35.Ware J, Kosinski M, Turner-Bowker D, Gandek B. How to Score Version 2 of the SF-12 Health Survey. Lincoln: QualityMetric Inc.; 2005.Google Scholar
- 36.Cella D, Riley W, Stone A, et al. The patient-reported outcomes measurement information system (PROMIS) developed and tested its first wave of adult self-reported health outcome item banks: 2005–2008. J Clin Epidemiol. 2010;63:1179–94.PubMedCentralCrossRefPubMedGoogle Scholar
- 37.Pilkonis PA, Choi SW, Reise SP, Stover AM, Riley WT, Cella D. Item banks for measuring emotional distress from the Patient-Reported Outcomes Measurement Information System (PROMIS(R)): depression, anxiety, and anger. Assessment. 2011;18:263–83.PubMedCentralCrossRefPubMedGoogle Scholar
- 38.Garcia SF, Cella D, Clauser SB, et al. Standardizing patient-reported outcomes assessment in cancer clinical trials: a patient-reported outcomes measurement information system initiative. J Clin Oncol. 2007;25:5106–12.CrossRefPubMedGoogle Scholar
- 39.Pearlin LI, Schooler C. The structure of coping. J Health Soc Behav. 1978;19:2–21.CrossRefPubMedGoogle Scholar
- 40.Sherbourne CD, Stewart AL. The MOS social support survey. Soc Sci Med. 1991;32:705–14.CrossRefPubMedGoogle Scholar
- 41.Hughes M, Waite L, Hawkley L, Cacioppo J. A short scale for measuring loneliness in large surveys: results from two population-based studies. Res Aging. 2004;26:655–72.PubMedCentralCrossRefPubMedGoogle Scholar
- 42.Carver CS. You want to measure coping but your protocol’s too long: consider the brief COPE. Int J Behav Med. 1997;4:92–100.CrossRefPubMedGoogle Scholar
- 43.Crandall CS. Prejudice against fat people: ideology and self-interest. J Pers Soc Psychol. 1994;66:882–94.CrossRefPubMedGoogle Scholar
- 44.Greenwald AG, McGhee DE, Schwartz JL. Measuring individual differences in implicit cognition: the implicit association test. J Pers Soc Psychol. 1998;74:1464–80.CrossRefPubMedGoogle Scholar
- 45.Greenwald AG, Poehlman TA, Uhlmann EL, Banaji MR. Understanding and using the implicit association test: III. Meta-analysis of predictive validity. J Pers Soc Psychol. 2009;97:17–41.CrossRefPubMedGoogle Scholar
- 46.Williams DR, Yan Y, Jackson JS, Anderson NB. Racial differences in physical and mental health: socio-economic status, stress and discrimination. J Health Psychol. 1997;2:335–51.CrossRefPubMedGoogle Scholar
- 47.Crowne DP, Marlowe D. A new scale of social desirability independent of psychopathology. J Consult Psychol. 1960;24:349–54.CrossRefPubMedGoogle Scholar
- 48.McManus IC, Winder BC, Gordon D. The causal links between stress and burnout in a longitudinal study of UK doctors. Lancet. 2002;359:2089–90.CrossRefPubMedGoogle Scholar
- 49.Dyrbye LN, Thomas MR, Shanafelt TD. Medical student distress: causes, consequences, and proposed solutions. Mayo Clin Proc. 2005;80:1613–22.CrossRefPubMedGoogle Scholar
- 50.Thomas MR, Dyrbye LN, Huntington JL, et al. How do distress and well-being relate to medical student empathy? A multicenter study. J Gen Int Med. 2007;22:177–83.CrossRefGoogle Scholar
- 51.Stewart SM, Lam TH, Betson CL, Wong CM, Wong AM. A prospective analysis of stress and academic performance in the first two years of medical school. Med Educ. 1999;33:243–50.CrossRefPubMedGoogle Scholar
- 52.Spiegel DA, Smolen RC, Hopfensperger KA. Medical student stress and clerkship performance. J Med Educ. 1986;61:929–31.PubMedGoogle Scholar
- 53.Spiegel DA, Smolen RC, Jonas CK. An examination of the relationships among interpersonal stress, morale and academic performance in male and female medical students. Soc Sci Med. 1986;23:1157–61.CrossRefPubMedGoogle Scholar
- 54.Bramness JG, Fixdal TC, Vaglum P. Effect of medical school stress on the mental health of medical students in early and late clinical curriculum. Acta Psychiatr Scand. 1991;84:340–5.CrossRefPubMedGoogle Scholar
- 55.Ball S, Bax A. Self-care in medical education: effectiveness of health-habits interventions for first-year medical students. Acad Med. 2002;77:911–7.CrossRefPubMedGoogle Scholar
- 56.Tyssen R, Vaglum P, Gronvold NT, Ekeberg O. Suicidal ideation among medical students and young physicians: a nationwide and prospective study of prevalence and predictors. J Affect Disord. 2001;64:69–79.CrossRefPubMedGoogle Scholar
- 57.Cacioppo JT, Hawkley LC, Crawford LE, et al. Loneliness and health: potential mechanisms. Psychosom Med. 2002;64:407–17.CrossRefPubMedGoogle Scholar
- 58.Cacioppo JT, Hughes ME, Waite LJ, Hawkley LC, Thisted RA. Loneliness as a specific risk factor for depressive symptoms: cross-sectional and longitudinal analyses. Psychol Aging. 2006;21:140–51.CrossRefPubMedGoogle Scholar
- 59.Hawkley LC, Thisted RA, Masi CM, Cacioppo JT. Loneliness predicts increased blood pressure: 5-year cross-lagged analyses in middle-aged and older adults. Psychol Aging. 2010;25:132–41.PubMedCentralCrossRefPubMedGoogle Scholar
- 60.Prins JT, Hoekstra-Weebers JE, Gazendam-Donofrio SM, et al. The role of social support in burnout among Dutch medical residents. Psychol Health Med. 2007;12:1–6.CrossRefPubMedGoogle Scholar
- 61.Williams DR, Neighbors HW, Jackson JS. Racial/ethnic discrimination and health: findings from community studies. Am J Public Health. 2008;98:S29–37.PubMedCentralCrossRefPubMedGoogle Scholar
- 62.Agell G, Rothblum ED. Effects of clients’ obesity and gender on the therapy judgments of psychologists. Prof Psychol-Res Pr. 1991;22(3):223–9.CrossRefGoogle Scholar
- 63.Sabin JA, Marini M, Nosek BA. Implicit and explicit anti-Fat bias among a large sample of medical doctors by BMI, race/ethnicity and gender. PloS one. 2012;7(11):e48448.PubMedCentralCrossRefPubMedGoogle Scholar
- 64.Ip EH, Marshall S, Vitolins M, et al. Measuring medical student attitudes and beliefs regarding patients who are obese. Acad Med. 2013;88:282–9.CrossRefPubMedGoogle Scholar
- 65.O’Brien KS, Puhl RM, Latner JD, Mir AS, Hunter JA. Reducing anti-fat prejudice in preservice health students: a randomized trial. Obesity (Silver Spring). 2010;18:2138–44.CrossRefGoogle Scholar
- 66.Jost JT, Banaji MR, Nosek BA. A decade of system justification theory: accumulated evidence of conscious and unconscious bolstering of the status quo. Political Psychology. 2004;25:881–919.CrossRefGoogle Scholar
Copyright information
Open AccessThis article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.