Self-reported COVID-19 symptoms and perceived likelihood of suicide attempt among Latinx individuals who experience acculturative stress.

The impact of COVID-19 has led to a substantial economic and psychosocial burden on the Latinx population. However, few studies have evaluated how COVID-19 symptoms may exacerbate suicide risk indicators among Latinx persons, or the particular social determinants of health facilitating such detrimental effects. The present study examined the association between self-reported COVID-19 symptoms and suicide likelihood (i.e., self-reported perceived likelihood that one will attempt suicide in the future) among Latinx individuals within a timeframe involving high COVID-19 contagion before the onset of vaccine dissemination. Further, the possible moderating role of acculturative stress in the association between COVID-19 symptoms and suicide likelihood was examined. The sample included 200 Latinx participants (67.5% male, Mage = 34.67 years, SD = 9.15) who completed self-report measures on COVID-19 symptoms, suicide likelihood, acculturative stress, depressive symptoms, trauma symptoms, somatic symptoms, and general COVID-19 emotional impact. Findings indicated that self-reported COVID-19 symptoms were positively associated with suicide likelihood. Further, the association between COVID-19 symptoms and suicide likelihood was moderated by acculturative stress, such that the association was only statistically significant at mean or higher levels of acculturative stress but was not significant among participants with lower acculturative stress. The moderation effect was statistically significant after controlling for sociodemographic factors, depressive symptoms, trauma symptoms, somatic symptoms, and the general emotional impact of the COVID-19 pandemic. The current findings indicate that, among Latinx individuals, acculturative stress is a key social determinant of health for marked psychological distress in the context of the COVID-19 pandemic.

Awareness of Racial and Ethnic Bias and Potential Solutions to Address Bias With Use of Health Care Algorithms.

Importance: Algorithms are commonly incorporated into health care decision tools used by health systems and payers and thus affect quality of care, access, and health outcomes. Some algorithms include a patient's race or ethnicity among their inputs and can lead clinicians and decision-makers to make choices that vary by race and potentially affect inequities. Objective: To inform an evidence review on the use of race- and ethnicity-based algorithms in health care by gathering public and stakeholder perspectives about the repercussions of and efforts to address algorithm-related bias. Design, Setting, and Participants: Qualitative methods were used to analyze responses. Responses were initially open coded and then consolidated to create a codebook, with themes and subthemes identified and finalized by consensus. This qualitative study was conducted from May 4, 2021, through December 7, 2022. Forty-two organization representatives (eg, clinical professional societies, universities, government agencies, payers, and health technology organizations) and individuals responded to the request for information. Main Outcomes and Measures: Identification of algorithms with the potential for race- and ethnicity-based biases and qualitative themes. Results: Forty-two respondents identified 18 algorithms currently in use with the potential for bias, including, for example, the Simple Calculated Osteoporosis Risk Estimation risk prediction tool and the risk calculator for vaginal birth after cesarean section. The 7 qualitative themes, with 31 subthemes, included the following: (1) algorithms are in widespread use and have significant repercussions, (2) bias can result from algorithms whether or not they explicitly include race, (3) clinicians and patients are often unaware of the use of algorithms and potential for bias, (4) race is a social construct used as a proxy for clinical variables, (5) there is a lack of standardization in how race and social determinants of health are collected and defined, (6) bias can be introduced at all stages of algorithm development, and (7) algorithms should be discussed as part of shared decision-making between the patient and clinician. Conclusions and Relevance: This qualitative study found that participants perceived widespread and increasing use of algorithms in health care and lack of oversight, potentially exacerbating racial and ethnic inequities. Increasing awareness for clinicians and patients and standardized, transparent approaches for algorithm development and implementation may be needed to address racial and ethnic biases related to algorithms.

Evaluating the Role of Anxiety Sensitivity on Behavioral Health Outcomes among Latinx Persons.

Background: Mexican Americans represent the largest subpopulation among Latinx persons and experience numerous health inequalities for psychological symptoms and behavioral health problems. First generation Mexican Americans are particularly vulnerable to such disparities and past work suggests that the experience of acculturative stress may play a vital role in terms of mental and physical health problems among this population. The current study sought to bridge past work on acculturative stress among first-generation Mexican Americans by exploring the role of anxiety sensitivity (AS; fear of the negative consequences of internal sensations) as a potential mediational factor in terms of psychological and behavioral health problems among this group. Methods: The current study consisted of 369 first generation Mexican American persons (86.2% female, 40.1 years of age (SD = 11.1) years in the U.S. attending a Federally Qualified Healthcare Center located in an urban southwestern community. We explored whether AS served as a mediator between acculturative stress and some of the most common and disabling clinical problems among this group, including social anxiety, anxious arousal, general depression, insomnia and pain intensity and disability. Result: Consistent with prediction, there was a statistically significant indirect effect of acculturative stress via AS across all criterion variables apart from pain intensity (depression [ab = - 0.17, SE = 0.05, 95% CI [0.08, 0.26]], insomnia [ab = 0.07, SE = 0.02, 95% CI [0.03, 0.10]], social anxiety [ab 0.05, SE = 0.02, 95% CI [0.02, 0.08]], anxious arousal [ab = 0.08, SE = 0.03, 95% CI [0.03, 0.12]], pain disability [ab = 0.05, SE = 0.02, 95% CI [0.02, 0.09]]). Comparative models were run to evaluate the specificity of hypothesized statistically significant models. For all models except anxious arousal and general depression, the alternative model was rejected, adding support to the hypothesized pathway. Conclusion: Overall, this work provides initial support for the role of AS in terms of the relation between acculturative stress and numerous psychological and behavioral health problems among Mexican American adults in a clinical setting.