Associations between subjective social status and predictors of interest in genetic testing among women diagnosed with breast cancer at a young age.

PURPOSE: Genetic testing for gene mutations which elevate risk for breast cancer is particularly important for women diagnosed at a young age. Differences remain in access and utilization to testing across social groups, and research on the predictors of interest in genetic testing for women diagnosed at a young age is limited. METHODS: We examined the relationships between subjective social status (SSS) and variables previously identified as possible predictors of genetic testing, including genome sequencing knowledge, genetic worry, cancer worry, health consciousness, decision-making preferences, genetic self-efficacy, genetic-related beliefs, and subjective numeracy, among a cohort of women who were diagnosed with breast cancer at a young age. RESULTS: In this sample (n = 1,076), those who had higher SSS had significantly higher knowledge about the limitations of genome sequencing (Odds Ratio (OR) = 1.11; 95% CI = 1.01-1.21) and significantly higher informational norms (OR = 1.93; 95% CI = 1.19-3.14) than those with lower SSS. Similarly, education (OR = 2.75; 95% CI = 1.79-4.22), health status (OR = 2.18; 95% CI = 1.44-3.31) were significant predictors among higher SSS women compared to lower SSS women in our multivariate analysis. Lower SSS women with low self-reported income (OR = 0.13; 95% CI = 0.08-0.20) had lower odds of genetic testing interest. Our results are consistent with some prior research utilizing proxy indicators for socioeconomic status, but our research adds the importance of using a multidimensional indicator such as SSS to examine cancer and genetic testing predictor outcomes. CONCLUSION: To develop interventions to improve genetic knowledge, researchers should consider the social status and contexts of women diagnosed with breast cancer at a young age (or before 40 years old) to ensure equity in the distribution of genetic testing benefits.

Enhanced family history-based algorithms increase the identification of individuals meeting criteria for genetic testing of hereditary cancer syndromes but would not reduce disparities on their own.

OBJECTIVE: This study aimed to 1) investigate algorithm enhancements for identifying patients eligible for genetic testing of hereditary cancer syndromes using family history data from electronic health records (EHRs); and 2) assess their impact on relative differences across sex, race, ethnicity, and language preference. MATERIALS AND METHODS: The study used EHR data from a tertiary academic medical center. A baseline rule-base algorithm, relying on structured family history data (structured data; SD), was enhanced using a natural language processing (NLP) component and a relaxed criteria algorithm (partial match [PM]). The identification rates and differences were analyzed considering sex, race, ethnicity, and language preference. RESULTS: Among 120,007 patients aged 25-60, detection rate differences were found across all groups using the SD (all P < 0.001). Both enhancements increased identification rates; NLP led to a 1.9 % increase and the relaxed criteria algorithm (PM) led to an 18.5 % increase (both P < 0.001). Combining SD with NLP and PM yielded a 20.4 % increase (P < 0.001). Similar increases were observed within subgroups. Relative differences persisted across most categories for the enhanced algorithms, with disproportionately higher identification of patients who are White, Female, non-Hispanic, and whose preferred language is English. CONCLUSION: Algorithm enhancements increased identification rates for patients eligible for genetic testing of hereditary cancer syndromes, regardless of sex, race, ethnicity, and language preference. However, differences in identification rates persisted, emphasizing the need for additional strategies to reduce disparities such as addressing underlying biases in EHR family health information and selectively applying algorithm enhancements for disadvantaged populations. Systematic assessment of differences in algorithm performance across population subgroups should be incorporated into algorithm development processes.

Ciencia, Genética, y ¿Desinformación?: A content analysis of genetic testing coverage from US Spanish-language news media.

Genetic testing (GT) has become ubiquitous in the United States, either in clinical or direct-to-consumer markets. White and English-speaking populations have primarily benefited from this new technology, leaving other groups, like Hispanic populations, behind. Explanations for this disparity has cited a lack of awareness and knowledge of genetic testing purposes. Science communication from English-language media play an important role in setting initial attitudes and influencing decision-making for audiences. However, Spanish-language media have virtually no research published on documented potential effects for GT utilization despite the continued growth of Hispanic Spanish-speaking groups in the United States. Thus, this study characterized coverage of GT from two of the most prominent US Spanish-language media outlets, Telemundo and Univision. Over a 12-year time period, we identified 235 written articles of GT, mainly focusing on forensics applications, followed by gossip and health. There were 292 sources referenced across all 235 articles drawing from governmental agencies or officials, other news agencies, and medical institutions or officials. The findings suggest that coverage of GT among Spanish-language news outlets is limited. When Spanish-language news outlets do cover GT, they focus on aspects of intrigue or entertainment more than demystifying and explaining GT. Stories tend to cite other published articles, with author attribution often missing, leading to questions of comfort of Spanish-media to cover these topics. Further, the publishing process may lead to confusion of the purpose of genetic testing for health purposes and may bias Spanish-speaking groups towards genetic testing for health purposes. Thus, reconciliation and education initiatives around genetic testing purposes are needed for Spanish-speaking communities from not only media, but also genetics providers and institutions.

Spit, Disgust, and Parasite Stress Theory: A Message Experiment.

Public health interventions targeting coughing and spitting during the Tuberculosis and 1918 flu epidemics were largely successful. Specifically, public health officials' messaging framed the behavior of spitting as repulsive and endangering to others, prompting an elicitation of disgust. Anti-spitting campaigns - messaging that focuses on the threat of spit or sputum - have long been common during pandemics and manifested once again to combat the spread of COVID-19. Yet, few scholars have theorized if and how anti-spitting campaigns function to change behavior. One possibility is parasite stress theory, which posits that human behavior is driven by a desire to avoid pathogenic threats like spit. The application of these types of disgust appeals in public health messaging remains understudied and warrants exploration. To test the applicability of the parasite stress theory, our message experiment with US adults (N = 488) examined reactions to anti-spit messages that varied in visual disgust (low and high). For more highly educated respondents, the high disgust appeal directly decreased spitting intentions, and this relationship was stronger for individuals with higher levels of pathogen and moral disgust. Given the importance of public messaging during pandemics, future research should continue to examine the efficacy and theoretical underpinnings of specific disgust appeals.

Barriers to family history collection among Spanish-speaking primary care patients: a BRIDGE qualitative study.

Objectives: Family history is an important tool for assessing disease risk, and tailoring recommendations for screening and genetic services referral. This study explored barriers to family history collection with Spanish-speaking patients. Methods: This qualitative study was conducted in two US healthcare systems. We conducted semi-structured interviews with medical assistants, physicians, and interpreters with experience collecting family history for Spanish-speaking patients. Results: The most common patient-level barrier was the perception that some Spanish-speaking patients had limited knowledge of family history. Interpersonal communication barriers related to dialectical differences and decisions about using formal interpreters vs. Spanish-speaking staff. Organizational barriers included time pressures related to using interpreters, and ad hoc workflow adaptations for Spanish-speaking patients that might leave gaps in family history collection. Conclusions: This study identified multi-level barriers to family history collection with Spanish-speaking patients in primary care. Findings suggest that a key priority to enhance communication would be to standardize processes for working with interpreters. Innovation: To improve communication with and care provided to Spanish-speaking patients, there is a need to increase healthcare provider awareness about implicit bias, to address ad hoc workflow adjustments within practice settings, to evaluate the need for professional interpreter services, and to improve digital tools to facilitate family history collection.

Association of Disparities in Family History and Family Cancer History in the Electronic Health Record With Sex, Race, Hispanic or Latino Ethnicity, and Language Preference in 2 Large US Health Care Systems.

Importance: Clinical decision support (CDS) algorithms are increasingly being implemented in health care systems to identify patients for specialty care. However, systematic differences in missingness of electronic health record (EHR) data may lead to disparities in identification by CDS algorithms. Objective: To examine the availability and comprehensiveness of cancer family history information (FHI) in patients' EHRs by sex, race, Hispanic or Latino ethnicity, and language preference in 2 large health care systems in 2021. Design, Setting, and Participants: This retrospective EHR quality improvement study used EHR data from 2 health care systems: University of Utah Health (UHealth) and NYU Langone Health (NYULH). Participants included patients aged 25 to 60 years who had a primary care appointment in the previous 3 years. Data were collected or abstracted from the EHR from December 10, 2020, to October 31, 2021, and analyzed from June 15 to October 31, 2021. Exposures: Prior collection of cancer FHI in primary care settings. Main Outcomes and Measures: Availability was defined as having any FHI and any cancer FHI in the EHR and was examined at the patient level. Comprehensiveness was defined as whether a cancer family history observation in the EHR specified the type of cancer diagnosed in a family member, the relationship of the family member to the patient, and the age at onset for the family member and was examined at the observation level. Results: Among 144 484 patients in the UHealth system, 53.6% were women; 74.4% were non-Hispanic or non-Latino and 67.6% were White; and 83.0% had an English language preference. Among 377 621 patients in the NYULH system, 55.3% were women; 63.2% were non-Hispanic or non-Latino, and 55.3% were White; and 89.9% had an English language preference. Patients from historically medically undeserved groups-specifically, Black vs White patients (UHealth: 17.3% [95% CI, 16.1%-18.6%] vs 42.8% [95% CI, 42.5%-43.1%]; NYULH: 24.4% [95% CI, 24.0%-24.8%] vs 33.8% [95% CI, 33.6%-34.0%]), Hispanic or Latino vs non-Hispanic or non-Latino patients (UHealth: 27.2% [95% CI, 26.5%-27.8%] vs 40.2% [95% CI, 39.9%-40.5%]; NYULH: 24.4% [95% CI, 24.1%-24.7%] vs 31.6% [95% CI, 31.4%-31.8%]), Spanish-speaking vs English-speaking patients (UHealth: 18.4% [95% CI, 17.2%-19.1%] vs 40.0% [95% CI, 39.7%-40.3%]; NYULH: 15.1% [95% CI, 14.6%-15.6%] vs 31.1% [95% CI, 30.9%-31.2%), and men vs women (UHealth: 30.8% [95% CI, 30.4%-31.2%] vs 43.0% [95% CI, 42.6%-43.3%]; NYULH: 23.1% [95% CI, 22.9%-23.3%] vs 34.9% [95% CI, 34.7%-35.1%])-had significantly lower availability and comprehensiveness of cancer FHI (P < .001). Conclusions and Relevance: These findings suggest that systematic differences in the availability and comprehensiveness of FHI in the EHR may introduce informative presence bias as inputs to CDS algorithms. The observed differences may also exacerbate disparities for medically underserved groups. System-, clinician-, and patient-level efforts are needed to improve the collection of FHI.

Explicitness, disgust, and safe sex behavior: A message experiment with U.S. adults.

Sexual health risks are challenging to communicate given the potential negative reactions of target audiences to explicit language. Grounded in research on pathogen avoidance, the current study examined the impact of varying levels of explicit language on message perceptions and safe sex behavioral intentions. U.S. adults (N = 498) were randomly assigned to view messages detailing pandemic safe sexual behavior that contained either low or high levels of explicit language. High explicit language significantly increased perceived disgust which also indirectly linked high explicit language with increased intentions to engage in safe sex behavior. Individual difference variables moderated the impact of message explicitness; dispositional hygiene disgust moderated the impact of high explicit, hygiene-focused messages on safe sex intentions. Those with relatively low levels of dispositional disgust were more positively impacted by explicit language. The results suggest the value of increased message explicitness for sexual health communication and have implications for pathogen avoidance behaviors, the behavioral immune system, and dispositional and affective forms of disgust.

Interest in Cancer Predisposition Testing and Carrier Screening Offered as Part of Routine Healthcare Among an Ethnically Diverse Sample of Young Women.

Sequencing technologies can inform individuals' risks for multiple conditions, supporting population-level screening approaches. Prior research examining interest in genetic testing has not generally examined the context of population-based approaches offered in routine healthcare or among ethnically diverse populations. Cancer predisposition testing and carrier screening could be offered broadly to women of reproductive age. This study therefore examined interest in these tests when offered as part of routine care, and predictors of interest, among an ethnically diverse sample of women aged 20-35. We conducted an online English-language survey of 450 women; 39% identified as Latina. We examined predictors of interest for two outcomes, interest in testing in the next year and level of interest, in multivariable logistic regression models and stratified analyses by Latina ethnicity. More than half of respondents reported being interested in cancer predisposition testing (55%) and carrier screening (56%) in the next year; this did not differ by ethnicity. About 26% reported being very interested in cancer predisposition testing and 27% in carrier screening. Latina respondents (32%) were more likely to be very interested in cancer predisposition testing than non-Latina respondents (22%; p < 0.03). In multivariable models, having higher worry about genetic risks, higher genetic knowledge, and higher perceived importance of genetic information were associated with higher interest across multiple models. Predictors of interest were generally similar by ethnicity. Our findings show substantial interest in both cancer predisposition testing and carrier screening among young women as part of routine healthcare with similar interest between Latina and non-Latina women. Efforts to broadly offer such testing could be important in improving access to genetic information. It will be critical to develop tools to help healthcare providers communicate about genetic testing and to address the needs of those who have less prior knowledge about genetics to support informed decision making.

Patient Interactions With an Automated Conversational Agent Delivering Pretest Genetics Education: Descriptive Study.

BACKGROUND: Cancer genetic testing to assess an individual's cancer risk and to enable genomics-informed cancer treatment has grown exponentially in the past decade. Because of this continued growth and a shortage of health care workers, there is a need for automated strategies that provide high-quality genetics services to patients to reduce the clinical demand for genetics providers. Conversational agents have shown promise in managing mental health, pain, and other chronic conditions and are increasingly being used in cancer genetic services. However, research on how patients interact with these agents to satisfy their information needs is limited. OBJECTIVE: Our primary aim is to assess user interactions with a conversational agent for pretest genetics education. METHODS: We conducted a feasibility study of user interactions with a conversational agent who delivers pretest genetics education to primary care patients without cancer who are eligible for cancer genetic evaluation. The conversational agent provided scripted content similar to that delivered in a pretest genetic counseling visit for cancer genetic testing. Outside of a core set of information delivered to all patients, users were able to navigate within the chat to request additional content in their areas of interest. An artificial intelligence-based preprogrammed library was also established to allow users to ask open-ended questions to the conversational agent. Transcripts of the interactions were recorded. Here, we describe the information selected, time spent to complete the chat, and use of the open-ended question feature. Descriptive statistics were used for quantitative measures, and thematic analyses were used for qualitative responses. RESULTS: We invited 103 patients to participate, of which 88.3% (91/103) were offered access to the conversational agent, 39% (36/91) started the chat, and 32% (30/91) completed the chat. Most users who completed the chat indicated that they wanted to continue with genetic testing (21/30, 70%), few were unsure (9/30, 30%), and no patient declined to move forward with testing. Those who decided to test spent an average of 10 (SD 2.57) minutes on the chat, selected an average of 1.87 (SD 1.2) additional pieces of information, and generally did not ask open-ended questions. Those who were unsure spent 4 more minutes on average (mean 14.1, SD 7.41; P=.03) on the chat, selected an average of 3.67 (SD 2.9) additional pieces of information, and asked at least one open-ended question. CONCLUSIONS: The pretest chat provided enough information for most patients to decide on cancer genetic testing, as indicated by the small number of open-ended questions. A subset of participants were still unsure about receiving genetic testing and may require additional education or interpersonal support before making a testing decision. Conversational agents have the potential to become a scalable alternative for pretest genetics education, reducing the clinical demand on genetics providers.

"Being proactive, not reactive": exploring perceptions of genetic testing among White, Latinx, and Pacific Islander Populations.

Genetic testing is becoming an integral part of healthcare, but evidence suggests that both race and ethnicity influence access to and utilization of genetic testing. Given this barrier, data are needed on the perceptions of genetic testing in racial and ethnic minority groups. The purpose of this study was to explore the perceptions of three types of genetic testing (genetic testing for adult-onset conditions, prenatal screening, and newborn screening) in a sample of US participants who identified as White, Pacific Islander, and Latinx (10 dyads from each group for 60 participants total). Data were collected through semi-structured dyadic interviews and assessed using thematic analysis. The major themes were knowledge as empowering, knowledge as stressful, and predictive nature of prenatal testing and newborn screening. Some differences were seen in themes by race and ethnicity. A sense of collective and familial health appeared to be a more important theme for Pacific Islander and Latinx participants compared to White participants. Adult-onset genetic testing was viewed variously across all groups with some noting how it may increase anxiety, particularly if the disease screened for was unable to be prevented with action. All three groups reported on the positives of prenatal testing and newborn screening yet often were confused on the differences between them. This study presents novel perceptions of genetic testing in participants from diverse communities across three types of genetic testing. Genetic healthcare providers should incorporate participants' perceptions, values, and beliefs into their counseling delivery as a way to engage with diverse communities.

Theory utilization in current communication of cancer genetic testing research: Identified gaps and opportunities.

BACKGROUND: Effective communication of cancer-related genetic and genomic testing (CGT) with patients and the public is paramount to transforming and managing cancer prevention, detection, and care. Behavioral and social science theories could improve communication effectiveness and, in turn, health outcomes. METHODS: In this study, we characterized the use of theory in recent research on communication about CGT from 2010 to 2017. RESULTS: Of 513 empirical papers focusing on communication about CGT, only 119 (23%) utilized any theory in the study design. Behavior change and health psychology/cognitive representation theories (24.2% and 21.9%, respectively) were the most commonly used with minimal use of communication theories (3%). Theories were primarily used to guide hypotheses or research question development (73.9%), and for selecting measures or codes (68.9%). Approximately half of the papers (48.3%) related their study findings to the referenced theory. Fewer papers (14.3%) discussed implications of the findings for the theory. CONCLUSIONS: While theories are being utilized to inform study design, few discuss their results in the context of theoretical implications and thus decrease potential generalizability. Greater use of theory could help scholars to identify and develop theories suited to this clinical context and inform our understanding of related communication processes more broadly.

Comparing models of delivery for cancer genetics services among patients receiving primary care who meet criteria for genetic evaluation in two healthcare systems: BRIDGE randomized controlled trial.

BACKGROUND: Advances in genetics and sequencing technologies are enabling the identification of more individuals with inherited cancer susceptibility who could benefit from tailored screening and prevention recommendations. While cancer family history information is used in primary care settings to identify unaffected patients who could benefit from a cancer genetics evaluation, this information is underutilized. System-level population health management strategies are needed to assist health care systems in identifying patients who may benefit from genetic services. In addition, because of the limited number of trained genetics specialists and increasing patient volume, the development of innovative and sustainable approaches to delivering cancer genetic services is essential. METHODS: We are conducting a randomized controlled trial, entitled Broadening the Reach, Impact, and Delivery of Genetic Services (BRIDGE), to address these needs. The trial is comparing uptake of genetic counseling, uptake of genetic testing, and patient adherence to management recommendations for automated, patient-directed versus enhanced standard of care cancer genetics services delivery models. An algorithm-based system that utilizes structured cancer family history data available in the electronic health record (EHR) is used to identify unaffected patients who receive primary care at the study sites and meet current guidelines for cancer genetic testing. We are enrolling eligible patients at two healthcare systems (University of Utah Health and New York University Langone Health) through outreach to a randomly selected sample of 2780 eligible patients in the two sites, with 1:1 randomization to the genetic services delivery arms within sites. Study outcomes are assessed through genetics clinic records, EHR, and two follow-up questionnaires at 4 weeks and 12 months after last genetic counseling contactpre-test genetic counseling. DISCUSSION: BRIDGE is being conducted in two healthcare systems with different clinical structures and patient populations. Innovative aspects of the trial include a randomized comparison of a chatbot-based genetic services delivery model to standard of care, as well as identification of at-risk individuals through a sustainable EHR-based system. The findings from the BRIDGE trial will advance the state of the science in identification of unaffected patients with inherited cancer susceptibility and delivery of genetic services to those patients. TRIAL REGISTRATION: BRIDGE is registered as NCT03985852 . The trial was registered on June 6, 2019 at clinicaltrials.gov .

State of recent literature on communication about cancer genetic testing among Latinx populations.

Cancer-related genetic testing (hereafter CGT) has transformed cancer prevention, treatment, and care. Researchers debate whether diffusion and use of genetic testing will reduce or widen cancer health disparities through effects on improving or worsening cancer-related mortality, morbidity, and outcomes that disproportionately affect racial and ethnic minority populations. Cancer disparities by race and ethnicity have been associated with social determinants of health and healthcare access and experience. However, little research has explored how communication about CGT may contribute to these disparities. As such, the goal of this study was to characterize the literature published between 2010 and 2017 on communication about CGT among Latinx populations through a secondary analysis of papers identified in a larger scoping review. We found thirteen (2.5%) of 513 papers in the parent scoping review had over 50% Latinx representation; only nine of these (69%) had fully Latinx comprised study cohorts. The majority of the 13 identified studies (n = 9) were conducted to assess knowledge and attitudes regarding CGT. Most studies included services or materials in both Spanish and English. Few studies assessed language preference or acculturation or compared outcomes across sub-ethnicities. We identified opportunities for researchers to explore differences in outcomes by language preference and acculturation, and between sub-ethnicities in future studies. Leveraging a greater understanding of the heterogeneity within the Latinx population will allow genetics researchers and providers to improve utilization of CGT and therein health outcomes to advance health equity.

Race/ethnicity and socio-economic differences in breast cancer surgery outcomes.

BACKGROUND: The purpose of this study is to evaluate racial and socio-economic differences in breast cancer surgery treatment, post-surgical complications, hospital length of stay and mortality among hospitalized breast cancer patients. METHODS: We examined the association between race/ethnicity and socio-economic status with treatment and outcomes after surgery among 71,156 women hospitalized with a primary diagnosis of breast cancer using the Nationwide Inpatient Sample database from 2007 to 2011. Multivariable regression models were used to compute estimates, odds ratios and 95% confidence intervals adjusting for age, comorbidities, stage at diagnosis, insurance, and residential region. RESULTS: Black women were more likely to receive breast conserving surgery but less likely to receive mastectomies compared with white women. They also experienced significantly longer hospital stays (ß=0.31, 95% CI: 0.24, 0.39), post-surgical complications (OR=1.21, 95% CI: 1.04-1.42) and in-hospital mortality (OR=1.26, 95% CI: 1.07-1.50) compared with Whites, after adjusting for other factors including the number of comorbidities and treatment type. CONCLUSION: Among patients hospitalized for breast cancer, there were racial differences observed in treatment and outcomes. Further studies are needed to fully characterize whether these differences are due to individual, provider level or hospital level factors, and to highlight areas for targeted approaches to eliminate these disparities.

Generalized anxiety disorder in racial and ethnic minorities: a case of nativity and contextual factors.

BACKGROUND: Minorities comprise more than one third of the U.S., and research on the correlates and causes of depression, anxiety, and other mental illnesses have yielded mixed results in minority groups necessitating an understanding of causes and correlates of health. Thus, the aim of this paper is to evaluate the relationship between minority status, contextual factors, and lifetime Generalized Anxiety Disorder. METHODS: Logistic regression models were implemented, comparing immigrants to their American-born counterparts as well as to American-born Whites. RESULTS: Foreign-born Afro-Caribbeans exhibited lower rates of lifetime GAD. A lower percentage of foreign-born minorities met the criteria for GAD as compared to their American-born counterparts, and all racial and ethnic groups met the criteria for lifetime GAD at a lower rate as compared to American-born Whites. DISCUSSION: By using theory proactively and including contextual factors, this multi-faceted approach to health disparities research yielded findings which both supported historic beliefs but created opportunities for supplemental research looking at immigrants and GAD. Key findings were that health lifestyle choices and exposure to discrimination significantly affected the chance of having GAD. Nativity was protective; however, its effect was ameliorated by exposure to discrimination or engagement in alcohol abuse. Thus, this study offers practical insight into environmental factors for clinicians caring for racial and ethnic minorities diagnosed with GAD.

Depression in Racial and Ethnic Minorities: the Impact of Nativity and Discrimination.

This research examines factors associated with lifetime major depressive disorder in racial and ethnic minorities residing in the USA, with an emphasis on the impact of nativity, discrimination, and health lifestyle behaviors. The Healthy Migrant Effect and Health Lifestyle Theory were used to inform the design of this project. The use of these frameworks not only provides insightful results but also expands their application in mental health disparities research. Logistic regression models were implemented to examine risk factors associated with lifetime major depressive disorder, comparing immigrants to their American-born counterparts as well as to American-born Whites. Data were derived from the Collaborative Psychiatric Epidemiology Surveys (n = 17,249). Support was found for the hypothesis that certain immigrants, specifically Asian and Afro-Caribbean, have lower odds of depression as compared their non-immigrant counterparts. Although, Hispanic immigrants directionally had lower odds of depression, this finding was not statistically significant. Furthermore, engaging in excessive alcohol consumption was associated with higher rates of depression (odds ratio (OR) = 2.09, p < 0.001), and the effect of discrimination on depression was found to be significant, even when controlling for demographics. Of all racial and ethnic groups, foreign-born Afro-Caribbeans had the lowest rate of depression at 7 % followed by foreign-born Asians at 8 %.

Panic attacks in minority Americans: the effects of alcohol abuse, tobacco smoking, and discrimination.

BACKGROUND: Lifetime prevalence of panic attacks is estimated at 22.7%, and research on the correlates and causes of depression, anxiety, and other mental illnesses have yielded mixed results in minority groups. Therefore, the purpose of this study is to evaluate the relationship between panic attacks, minority status, and nativity by focusing on the effects of health lifestyle behaviors and discrimination. METHODS: Multivariate analysis was performed using logistic regression, which was used to estimate the probability of meeting the criteria for panic attacks (n=17,249). RESULTS: Demographic and socioeconomic variables had significant associations; females had over 2.4 times higher odds than males of meeting the criteria for panic attacks. The more frequently respondents were treated as dishonest, less smart, with disrespect, threatened, or called names, the more likely they met the criteria for panic attacks. Additionally, smoking and alcohol abuse were significant predictors of panic attacks. Those who abused alcohol have over 2 times the odds of having panic attacks. Similarly, smokers had 52% higher odds of panic attacks than non-smokers. LIMITATIONS: The primary limitation of this project was the lack of a true acculturation measure with a secondary limitation being the inability to determine respondents׳ legal status. CONCLUSIONS: Key findings were that health lifestyle choices and exposure to discrimination significantly affected the chance of having panic attacks. Nativity was protective; however, its effect was counteracted by exposure to discrimination or engagement in smoking behavior or alcohol abuse. Thus, this study offers insight into contextual factors for clinicians caring for racial and ethnic minorities diagnosed with panic attacks.