Rachel R. Hardeman

Implicit and explicit weight bias in a national sample of 4,732 medical students: The medical student CHANGES study

To examine the magnitude of explicit and implicit weight biases compared to biases against other groups; and identify student factors predicting bias in a large national sample of medical students.

Implicit and explicit weight bias in a national sample of 4,732 medical students

To examine the magnitude of explicit and implicit weight biases compared to biases against other groups; and identify student factors predicting bias in a large national sample of medical students.

Do Contact and Empathy Mitigate Bias Against Gay and Lesbian People among Heterosexual First-Year Medical Students? A Report from the Medical Student CHANGE Study

Purpose A recent Institute of Medicine report concluded that lesbian and gay individuals face discrimination from health care providers and called for research on provider attitudes. Medical school is a critical juncture for improving future providers’ treatment of sexual minorities. This study examined both explicit bias and implicit bias against lesbian women and gay men among first-year medical students, focusing on two predictors of such bias, contact and empathy. Method This study included the 4,441 heterosexual first-year medical students who participated in the baseline survey of the Medical Student Cognitive Habits and Growth Evaluation Study, which employed a stratified random sample of 49 U.S. medical schools in fall 2010. The researchers measured explicit attitudes toward gay and lesbian people using feeling thermometer self-assessments, implicit attitudes using the Implicit Association Test, amount and favorability of contact using self-report items, and empathy using subscales of the Interpersonal Reactivity Index. Results Nearly half (45.79%; 956/2,088) of respondents with complete data on both bias measures expressed at least some explicit bias, and most (81.51%; 1,702/2,088) exhibited at least some implicit bias against gay and lesbian individuals. Both amount and favorability of contact predicted positive implicit and explicit attitudes. Both cognitive and emotional empathy predicted positive explicit attitudes, but not implicit attitudes. Conclusions The prevalence of negative attitudes presents an important challenge for medical education, highlighting the need for more research on possible causes of bias. Findings on contact and empathy point to possible curriculum-based interventions aimed at ensuring high-quality care for sexual minorities.

The mixed impact of medical school on medical students’ implicit and explicit weight bias

Health care trainees demonstrate implicit (automatic, unconscious) and explicit (conscious) bias against people from stigmatised and marginalised social groups, which can negatively influence communication and decision making. Medical schools are well positioned to intervene and reduce bias in new physicians.

A Comparison of the Mental Health and Well-Being of Sexual Minority and Heterosexual First-Year Medical Students: A Report From the Medical Student CHANGE Study.

Purpose Research is lacking on psychological distress and disorder among sexual minority medical students (students who identify as nonheterosexual). If left unaddressed, distress may result in academic and professional difficulties and undermine workforce diversity goals. The authors compared depression, anxiety, and self-rated health among sexual minority and heterosexual medical students. Method This study included 4,673 first-year students who self-reported sexual orientation in the fall 2010 baseline survey of the Medical Student Cognitive Habits and Growth Evaluation Study, a national longitudinal cohort study. The authors used items from published scales to measure depression, anxiety, self-rated health, and social stressors. They conducted bivariate and multivariate analyses to estimate the association between sexual identity and depression, anxiety, and self-rated health. Results Of 4,673 students, 232 (5.0%) identified as a sexual minority. Compared with heterosexual students, after adjusting for relevant covariates, sexual minority students had greater risk of depressive symptoms (adjusted relative risk [ARR] = 1.59 [95% confidence interval, 1.24–2.04]), anxiety symptoms (ARR = 1.64 [1.08–2.49]), and low self-rated health (ARR = 1.77 [1.15–2.60]). Sexual minority students were more likely to report social stressors, including harassment (22.7% versus 12.7%, P < .001) and isolation (53.7% versus 42.8%, P = .001). Exposure to social stressors attenuated but did not eliminate the observed associations between minority sexual identity and mental and self-reported health measures. Conclusions First-year sexual minority students experience significantly greater risk of depression, anxiety, and low self-rated health than heterosexual students. Targeted interventions are needed to improve mental health and well-being.

The Adverse Effect of Weight Stigma on the Well-Being of Medical Students with Overweight or Obesity: Findings from a National Survey

ABSTRACTBACKGROUNDThe 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.OBJECTIVEThe 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.DESIGNWe performed cross-sectional analysis of data from the Medical Student Cognitive Habits and Growth Evaluation Study (CHANGES) survey.PARTICIPANTSA 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 MEASURESImplicit 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 RESULTSAmong 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).CONCLUSIONSPerceived and internalized weight stigma may contribute to worse well-being among overweight/obese medical students.

Teenagers and Texting: Use of a Youth Ecological Momentary Assessment System in Trajectory Health Research With Latina Adolescents

Background Adolescent females send and receive more text messages than any others, with an average of 4050 texts a month. Despite this technological inroad among adolescents, few researchers are utilizing text messaging technology to collect real time, contextualized data. Temporal variables (ie, mood) collected regularly over a period of time could yield useful insights, particularly for evaluating health intervention outcomes. Use of text messaging technology has multiple benefits, including capacity of researchers to immediately act in response to texted information. Objective The objective of our study was to custom build a short messaging service (SMS) or text messaging assessment delivery system for use with adolescents. The Youth Ecological Momentary Assessment System (YEMAS) was developed to collect automated texted reports of daily activities, behaviors, and attitudes among adolescents, and to examine the feasibility of YEMAS. This system was created to collect and transfer real time data about individual- and social-level factors that influence physical, mental, emotional, and social well-being. Methods YEMAS is a custom designed system that interfaces with a cloud-based communication system to automate scheduled delivery of survey questions via text messaging; we designed this university-based system to meet data security and management standards. This was a two-phase study that included development of YEMAS and a feasibility pilot with Latino adolescent females. Relative homogeneity of participants was desired for the feasibility pilot study; adolescent Latina youth were sought because they represent the largest and fastest growing ethnic minority group in the United States. Females were targeted because they demonstrate the highest rate of text messaging and were expected to be interested in participating. Phase I involved development of YEMAS and Phase II involved piloting of the system with Latina adolescents. Girls were eligible to participate if they were attending one of the participating high schools and self-identified as Latina. We contacted 96 adolescents; of these, 24 returned written parental consent forms, completed assent processes, and enrolled in the study. Results YEMAS was collaboratively developed and implemented. Feasibility was established with Latina adolescents (N=24), who responded to four surveys daily for two two-week periods (four weeks total). Each survey had between 12 and 17 questions, with responses including yes/no, Likert scale, and open-ended options. Retention and compliance rates were high, with nearly 18,000 texts provided by the girls over the course of the pilot period. Conclusions Pilot results support the feasibility and value of YEMAS, an automated SMS-based text messaging data collection system positioned within a secure university environment. This approach capitalizes on immediate data transfer protocols and enables the documentation of participants’ thoughts, feelings, and behaviors in real time. Data are collected using mobile devices that are familiar to participants and nearly ubiquitous in developed countries.

Police Brutality and Black Health: Setting the Agenda for Public Health Scholars

We investigated links between police brutality and poor health outcomes among Blacks and identified five intersecting pathways: (1) fatal injuries that increase population-specific mortality rates; (2) adverse physiological responses that increase morbidity; (3) racist public reactions that cause stress; (4) arrests, incarcerations, and legal, medical, and funeral bills that cause financial strain; and (5) integrated oppressive structures that cause systematic disempowerment. Public health scholars should champion efforts to implement surveillance of police brutality and press funders to support research to understand the experiences of people faced with police brutality. We must ask whether our own research, teaching, and service are intentionally antiracist and challenge the institutions we work in to ask the same. To reduce racial health inequities, public health scholars must rigorously explore the relationship between police brutality and health, and advocate policies that address racist oppression.

Disrupting the Pathways of Social Determinants of Health: Doula Support during Pregnancy and Childbirth

Purpose: The goal of this study was to assess perspectives of racially/ethnically diverse, low-income pregnant women on how doula services (nonmedical maternal support) may influence the outcomes of pregnancy and childbirth. Methods: We conducted 4 in-depth focus group discussions with low-income pregnant women. We used a selective coding scheme based on 5 themes (agency, personal security, connectedness, respect, and knowledge) identified in the Good Birth framework, and we analyzed salient themes in the context of the Gelberg-Anderson behavioral model and the social determinants of health. Results: Participants identified the role doulas played in mitigating the effects of social determinants. The 5 themes of the Good Birth framework characterized the means by which nonmedical support from doulas influenced the pathways between social determinants of health and birth outcomes. By addressing health literacy and social support needs, pregnant women noted that doulas affect access to and the quality of health care services received during pregnancy and birth. Conclusions: Access to doula services for pregnant women who are at risk of poor birth outcomes may help to disrupt the pervasive influence of social determinants as predisposing factors for health during pregnancy and childbirth.

Beliefs about the causes of obesity in a national sample of 4th year medical students.

OBJECTIVE Physician knowledge of the complex contributors to obesity varies. We do not know whether todays medical students are graduating with deep understanding of the causes of obesity. Our objective was to assess beliefs about causes of obesity in a national sample of 4th year medical students. METHOD We randomly selected 2000 4th year students from a random sample of 50 U.S. medical schools and asked them to rate the importance of several factors as causes of obesity. Of those invited, 1244 (62%) responded. We conducted latent class analysis to identify groups with similar response patterns. RESULTS Most students demonstrated knowledge that obesity has multiple contributors. Students fell into 1 of 4 classes: (1) more likely to endorse all contributors (28%), (2) more likely to endorse physiological contributors (27%), (3) more likely to endorse behavioral or social contributors (24%), and (4) unlikely to endorse contributors outside of overeating and physical activity (22%). CONCLUSION Though students were generally aware of multiple causes, there were 4 distinct patterns of beliefs, with implications for patient care. PRACTICE IMPLICATIONS Targeted interventions may help to improve depth of knowledge about the causes of obesity and lead to more effective care for obese patients.