Emotional and physical reactions to perceived discrimination, language preference, and health-related quality of life among Latinos and Whites

LGBTQ+ Microaggressions in Health Care: Piloting an Observation Framework in a Standardized Patient Assessment

Microaggressions are subtle derogatory behaviors that unintentionally communicate hostility toward marginalized social groups. This article describes the preliminarily validation of a framework for observing LGBTQ+ microaggressions in health care, which can lead to distrust and disengagement from the healthcare system. Coders used the framework to observe microaggressions in video-recorded clinical-skills assessments with medical students who elicited health histories from standardized patients. Microaggression classifications were reviewed to determine construct reliability and the presence/absence among eight framework categories. Among 177 encounters with sexual and gender minority standardized patients, heteronormative/cisnormative language and assumptions occurred in the largest proportion of encounters (85.3%). Only identity-based referrals decreased significantly after a clinical skills intervention (20.0% to 4.9%, p = .01). These outcomes show that LGBTQ+ healthcare microaggressions are pervasive and will likely require nuanced training to address them. This groundwork can also be used to develop scales for patients and observers to identify microaggressions and assess perceived impact.

Physical activity and body mass index were interactively related to health-related quality of life among older adults

PURPOSE

The purpose of this study was to examine how meeting physical activity (PA) guidelines (i.e., moderate-to-vigorous aerobic activity, muscle strengthening activity) and weight status were interactively related to health-related quality of life (HRQoL) among older adults.

METHODS

A cross-sectional analysis was conducted using data from 87,495 older adults aged 65+ years who participated in the U.S. 2019 Behavioral Risk Factor Surveillance System. PA, weight status, and HRQoL were assessed by validated questionnaires via phone interviews. Binomial logistic regression models were used to examine the interactive effects of meeting PA guidelines and weight status on the odds of having poor HRQoL after controlling for key confounders.

RESULTS

Compared to participants meeting both PA guidelines and with normal weight, both underweight and obese older adults had significantly higher odds of having poor general health (OR= 1.55-6.16) regardless of meeting PA guideline status, and those meeting muscle strengthening activities only or meeting neither PA guideline reported higher odds of poor physical health (OR= 1.83-6.22) regardless of weight status. Similarly, those meeting neither PA guideline had significantly higher odds of having poor mental health (OR= 1.69-2.78) regardless of weight status, and those meeting muscle strengthening activities only or meeting neither PA guideline reported higher odds of having frequent activity limitation days (OR= 2.18-7.05).

CONCLUSIONS

The positive associations between moderate-to-vigorous aerobic PA and HRQoL indicate the need to promote aerobic PA in older adults. Both sex and weight status should be considered when designing PA interventions to improve HRQoL among older adults.

Discrimination, social support, and health-related quality of life among individuals with criminal records

Several studies have found an association between social identity-based discrimination and reduced physical health. Research also indicates that social support may sometimes protectively moderate this relationship. This study addresses the lack of sufficient research regarding these connections among individuals facing criminal record discrimination. The authors analyzed the responses of 168 people with felony records who completed a nationwide, online survey. While controlling for several other potentially impactful variables, the authors used regression analyses to explore the relationship between criminal record discrimination and reported healthy days per month and whether social support protectively moderated this relationship. There was a significant negative association between criminal record discrimination and healthy days among those with notably low social support. Meanwhile, moderate levels of social support appeared to protectively extinguish this relationship. This study suggests that social support may influence whether criminal record discrimination negatively impacts health.

Racial Discrimination and Health-Related Quality of Life: An Examination Among Asian American Immigrants

OBJECTIVES

We aimed to examine the relationship between everyday and major racial discrimination with health-related quality of life (HRQOL), which consists of self-rated health, days of poor physical health, mental health, and activity limitation.

DESIGN

In a cross-sectional analytic sample of 524 foreign-born Asian adults, aged 18 years and older, we conducted multivariable logistic regression and multivariable negative binomial regression to examine associations between discrimination and HRQOL. Furthermore, potential effect modification was tested by gender, ethnicity, and social support.

RESULTS

Associations were found between everyday racial discrimination and days of poor physical health (incidence rate ratio, IRR = 1.05), mental health (IRR = 1.03), and activity limitation (IRR = 1.05). Stronger significant associations were observed between major racial discrimination and days of poor physical health (IRR = 1.21), mental health (IRR = 1.16), and activity limitation (IRR = 1.53), adjusting for all covariates. Racial discrimination was not associated with poor self-rated health. In addition, gender significantly modified the relationship between continuous racial discrimination and activity limitation days with associations of greater magnitude among men, while social support significantly modified the association between categorized major racial discrimination and physically unhealthy days. When stratified, the association was only significant among those with low social support (IRR = 3.04; 95% CI: 1.60, 5.79) as opposed to high social support.

CONCLUSIONS

This study supports the association between racial discrimination and worse HRQOL among Asian Americans, which can inform future interventions, especially among men and those with low social support, aimed at improving the quality of life in this population.

Dónde Están? Latinx/Hispanic Representation in the Oncology Workforce: Present and Future

This manuscript reviews the status of Hispanic/Latinx physicians in oncology, the benefits and challenges to achieving equitable representation, and potential solutions and actions to increase diversity in the oncology workforce. Persons of Hispanic/Latinx origin comprise 18.7% of the population and 16.8% of the adult population in the United States but are only 4.7% of practicing oncologists. The reasons for the lack of representation of Hispanic/Latinx individuals in medicine are multifaceted and include discrimination and biases, exclusionary practices, financial barriers, and lack of role modeling. As a result, patients are deprived the benefits of a representative workforce, such as improved access, enhanced culturally and linguistically competent care, and minimization of health disparities. Solutions included in the manuscript include a description of efforts by ASCO to improve the representativeness of the oncology workforce through its awards programs and educational efforts, especially for Hispanic/Latinx clinicians. The manuscript also outlines individual actions that attending physicians, senior oncologists, oncology leaders, and hospital/cancer center leadership can take to improve the diversity of the oncology workforce and support our Latinx/Hispanic trainees and colleagues. Improving the representativeness of the oncology workforce will require collective action by institutions, medical societies, and individuals. Nevertheless, widespread commitment to creating an inclusive and supported workforce is necessary to ensure the quality of care for minority patients, reduce existing cancer care disparities, and advance innovation in oncology.

An examination of physical activity guidelines and health-related quality of life among U.S. older adults

Physical activity can help improve the poor health-related quality of life in older adult population. Although the Physical Activity Guidelines for Americans recommend both aerobic and muscle strengthening activities for adults, previous studies predominantly focused on aerobic activity with limited research on muscle strengthening activities. The purpose of this cross-sectional study was to examine the relationships between meeting physical activity guidelines (i.e., aerobic activity, muscle strengthening activity) and health-related quality of life in the older adult population. Data of 87,495 older adults aged ≥65 years from the U.S. 2019 Behavioral Risk Factor Surveillance System were analyzed. Phone interviews and validated questionnaires were used to assess aerobic activity, muscle strengthening activity, and health-related quality of life. Binomial logistic regression was used to examine the relationships between meeting physical activity guidelines and health-related quality of life while adjusting for key covariates (i.e., age, sex, race, education, marital status, employment status, income, body mass index, smoking, drinking, and comorbidities). Participants meeting both or aerobic activity guideline only had significantly lower odds of reporting all components of health-related quality of life (i.e., general health, mental health, physical health, activity limitation) than those who met neither guideline (OR = 0.37-0.58) and those who met muscle strengthening activity guideline only (OR = 0.34 - 0.74). Given the stronger positive association between aerobic activity and health-related quality of life than that between muscle strengthening activity and health-related quality of life, future research should focus on promoting aerobic activity to increase health-related quality of life among older people.

Who declines to respond to the reactions to race module?: findings from the South Carolina Behavioral Risk Factor Surveillance System, 2016-2017

Background

The inclusion of self-reported differential treatment by race/ethnicity in population-based public health surveillance and monitoring systems may provide an opportunity to address long-standing health inequalities. While there is a growing trend towards decreasing response rates and selective non-response in health surveys, research examining the magnitude of non-response related to self-reported discrimination warrants greater attention. This study examined the distribution of sociodemographic variables among respondents and non-respondents to the South Carolina Behavioral Risk Factor Surveillance System (SC-BRFSS) Reactions to Race module (6-question optional module capturing reports of race-based treatment).

Methods

Using data from SC-BRFSS (2016, 2017), we examined patterns of non-response to the Reactions to Race module and individual items in the module. Logistic regression models were employed to examine sociodemographic factors associated with non-response and weighted to account for complex sampling design.

Results

Among 21,847 respondents, 15.3% were non-responders. Significant differences in RTRM non-response were observed by key sociodemographic variables (e.g., age, race/ethnicity, labor market participation, and health insurance status). Individuals who were younger, Hispanic, homemakers/students, unreported income, and uninsured were over-represented among non-respondents. In adjusted analyses, Hispanics and individuals with unreported income were more likely to be non-responders in RTRM and across item, while retirees were less likely to be non-responders. Heterogeneity in levels of non-responses were observed across RTRM questions, with the highest level of non-response for questions assessing differential treatment in work (54.8%) and healthcare settings (26.9%).

Conclusions

Non-responders differed from responders according to some key sociodemographic variables, which could contribute to the underestimation of self-reported discrimination and race-related differential treatment and health outcomes. While we advocate for the use of population-based measures of self-reported racial discrimination to monitor and track state-level progress towards health equity, future efforts to estimate, assess, and address non-response variations by sociodemographic factors are warranted to improve understanding of lived experiences impacted by race-based differential treatment.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-021-11748-y.

Cost-Related Non-Utilization of Health Services and Self-Perceived Reactions to Race

Purpose

There is limited information regarding the prevalence and predictors of cost-related non-utilization (CRNU), while there is increasing attention to the rising out-of-pocket cost of health services including prescription medications. Prior studies have not quantified the role of perceived racism despite its documented relationship with health services utilization. We examine perceptions of reactions to race and quantify their relationship with CRNU.

Methods

This retrospective cross-sectional study utilized data from the 2014 Behavioral Risk Factor Surveillance System (BRFSS) public use file, an annual, state-based telephone survey of US adults aged 18 and older. We utilized data for four states that provided responses to five Reactions to Race items, including information about the self-perceived quality of the respondent's health care experience compared with people of other races (worse vs same or better) and whether the respondent experienced physical symptoms because of treatment due to their race. The three binary outcomes were: 1) did not visit a physician; 2) did not visit a physician due to cost; 3) did not fill a prescription due to cost. We estimated covariate-adjusted odds ratios associated with each outcome using logistic regression models.

Results

The BRFSS sample consisted of 20,366 respondents of whom 8% were African American non-Hispanic, 12% were Hispanic and 73% were White. Three percent of respondents considered their experience to be worse than people of other races. Three percent of individuals reported physical symptoms because of treatment due to their race while 5% of respondents reported becoming emotionally upset because of treatment due to their race. The proportions for the three study outcomes were 11%, 13% and 7%, respectively. In covariate-adjusted models, a worse experience with the health care system was statistically significantly associated with CRNU (physician visit: 2.6 [95% CI: 1.6 - 4.3]). The experience of physical symptoms because of treatment due to race was statistically significantly associated with CRNU (physician visit: 2.6 [95% CI: 1.7 - 4]; prescription fills: 2.1 [1.2 - 3.6]). No Reactions to Race items were associated with general non-utilization.

Conclusions

Negative perceptions of reactions to race during the time of health services utilization is positively associated with CRNU, ie, foregoing physician visits and prescription fills due to cost.

A population-based measure of chronic disease severity for health planning and evaluation in the United States

In the healthcare sector, patients can be categorized into clinical risk groups, which are based, in part, on multiple chronic conditions. Population-based measures of clinical risk groups for population health planning, however, are not available. Using responses of working-age adults (19-64 years old) from the Behavioral Risk Factor Surveillance System for survey years 2015-2017, a population-based measure of chronic disease severity (CDS) was developed as a proxy for clinical risk groups. Four categories of CDS were developed: low, medium-low, medium-high, and high, based on self-reported diagnoses of multiple chronic conditions, weighted by hospitalization costs. Prevalence estimates of CDS were prepared, by population demographics and state characteristics, and CDS association with perceived health-related quality of life (HRQOL) was evaluated. Age-adjusted CDS varied from 72.9% (95% CI: 72.7-73.1%) for low CDS, to 21.0% (95% CI: 20.8-21.2%), 4.4% (95% CI: 4.3-4.5%) and 1.7% (95% CI: 1.6-1.8%) for medium-low, medium-high, and high CDS, respectively. The prevalence of high CDS was significantly greater (p < 0.05) among older adults, those living below the federal poverty level, and those with disabilities. The adjusted odds of fair/poor perceived HRQOL among adults with medium-low or medium-high/high CDS were 2.39 times (95% CI: 2.30-2.48) or 6.53 times (95% CI: 6.22-6.86) higher, respectively, than adults with low CDS. Elevated odds of fair/poor HRQOL with increasing CDS coincided with less prevalence of high CDS among men, minority race/ethnicities, and adults without insurance, suggesting a link between CDS and risk of mortality. Prevalence of high CDS was significantly higher (p < 0.05) in states with lower population density, lower per capita income, and in states that did not adopt the ACA. These results demonstrate the relevance of a single continuous population-based measure of chronic disease severity for health planning at the state, regional, and national levels.

The Association of Emotional and Physical Reactions to Perceived Discrimination with Depressive Symptoms Among African American Men in the Southeast

This study examines the association of emotional and physical reactions to perceived discrimination with depressive symptoms among a sample of African American (AA) men in the southeastern United States. Analysis of the 2010 Behavioral Risk Factor Surveillance System (BRFSS) data set provides an examination of demographic, perceived discrimination context, and health status differences in depressive symptoms measured by the Patient Health Questionnaire—2 (PHQ-2). The analysis also assesses individual differences among AA men related to experiencing physical symptoms and feeling emotionally upset due to perceived discrimination. A focused examination investigates the role of adverse reactions to perceived discrimination in association with depressive symptomology. Findings illuminate the significance of experiences of and reactions to perceived discrimination in relationship with depressive symptomology among AA men living in the southeastern United States. Findings also demonstrate the need for additional research focusing on perceived discrimination experiences in relation to depressive symptoms experienced among the AA male subgroup. Continued investigation of within-group differences among AA men, with health promotional strategies to foster social-emotional support, will further the improvement in health and wellness for AA men.