Association of Everyday Discrimination With Depressive Symptoms and Suicidal Ideation During the COVID-19 Pandemic in the All of Us Research Program

Association between bubble tea consumption and mental health among adults in mainland China: A national cross-sectional analysis of cohort study

BACKGROUND

Bubble tea has emerged as an essential beverage in the daily lives of many individuals, which is particularly pronounced among nurses. However, few studies have investigated the potential effects of bubble tea consumption on mental health among nurses. In this study, we aimed to investigate the association between bubble tea consumption and mental health among nurses.

METHODS

A cross-sectional analysis using baseline data from the Nurses' Mental Health Study (NMHS), a national cohort study. Odds ratios (ORs) were employed to evaluate the relationship between bubble tea consumption and mental health.

RESULTS

A total of 132,910 participants were enumerated nationwide in our survey. 8666 (6.52 %) were male and 124,244 (93.48 %) were female. The median age of participants was 34 years. After adjusting for potential confounders, the odds ratios (ORs) for depressive symptoms, anxiety symptoms, psychiatric diagnosis, fatigue, burnout, loneliness, and well-being trend changed across categories of bubble tea consumption. Low frequency of bubble tea consumption was associated with a lower risk of suicidal ideation, while high frequency of consumption was related to an increased suicidal risk. The relation between bubble tea and mental health varies with gender and age.

CONCLUSIONS

This large-sample cross-sectional study found that consumption of bubble tea was significantly associated with increased anxiety, depression, psychiatric diagnosis, fatigue, job burnout and loneliness, and decreased well-being among nurses. Moreover, research indicates that limited consumption of bubble tea may be correlated with a reduction in suicidal ideation, whereas excessive consumption may be linked to an increase in such ideation.

Advancing Mental Health Research Through Strategic Integration of Transdiagnostic Dimensions and Genomics

Genome wide studies are yielding a growing catalogue of common and rare variants that confer risk for psychopathology. Yet, despite representing unprecedented progress, emerging data also indicate that the full promise of psychiatric genetics - including understanding pathophysiology and improving personalized care - will not be fully realized by targeting traditional, dichotomous diagnostic categories. The current article provides reflections on themes emerging from a 2021 NIMH sponsored conference convened to address strategies for the evolving field of psychiatric genetics. As anticipated by NIMH's Research Domain Framework, multi-level investigations of dimensional and transdiagnostic phenotypes, particularly when integrated with biobanks and big data, will be critical to advancing knowledge. The path forward will also require more diverse representation in source studies. Additionally, progress will be catalyzed by a range of converging approaches, including capitalizing on computational methods, pursuing biological insights, working within a developmental framework, and engaging healthcare systems and patient communities.

Stress in United States school psychologists: Development and preliminary psychometric properties of the School Psychologist Distress Inventory

School psychologists have many roles and responsibilities that often lead to high stress levels. Wise (1985) authored the School Psychologists and Stress Inventory (SPSI), but it has not been updated substantially since its publication. We developed two studies to address the stressors faced by currently practicing school psychologists. Study 1 included 229 practicing school psychologists who evaluated the relevancy of the SPSI items and who listed five highly stressful events experienced considering the current context of practice. Based on these results, 13 SPSI items were removed, 21 SPSI items were revised, and 12 new items were added. The resulting measure, the School Psychologist Distress Inventory (SPDI), consists of 33 items and an additional item addressing overall stress. Study 2 examined validity evidence associated with the SPDI score structure. Using data from a sample of 350 practicing school psychologists, a sequence of exploratory factor analytic methods indicated the presence of a general factor of distress as well as four more specific factors, including Heavy Workload, Student Needs, Lack of Professional Support, and Parental and Legal Conflicts. Convergent relations and discriminant relations were evident between (a) SPDI total and subscales and (b) measures reflecting general stress level, role stressors, role overload, and job satisfaction. Examination of SPDI scores revealed they were not significantly related to age in years, educational levels, or school-psychologist-to-student ratio by state; however, lack of professional support was statistically significantly but weakly related to years of experience. Student needs were significantly more stressful across participants in the Western region of the United States than the Midwest region. Results from these two studies suggest the promise of using the SPDI to examine general and specific experiences of school psychologists' distress and they reveal that distress across school psychologists is remarkably high-especially in the area associated with having a heavy workload. Additional research with more racially and ethnically diverse samples of school psychologists would enhance confidence in using the SPDI as a measure of distress. Results suggest an urgent need to address structural influences on stress and personal coping strategies employed by school psychologists.

Association Between Discrimination and Depressive Symptoms Among Hispanic or Latino Adults During the COVID-19 Pandemic: Cross-Sectional Study

BACKGROUND

Discrimination and xenophobia toward Hispanic and Latino communities increased during the COVID-19 pandemic, likely inflicting significant harm on the mental health of Hispanic and Latino individuals. Pandemic-related financial and social instability has disproportionately affected Hispanic and Latino communities, potentially compounding existing disparities and worsening mental health.

OBJECTIVE

This study aims to examine the association between discrimination and depressive symptoms during the COVID-19 pandemic among a national sample of Hispanic and Latino adults.

METHODS

Data from a 116-item web-based nationally distributed survey from May 2021 to January 2022 were analyzed. The sample (N=1181) was restricted to Hispanic or Latino (Mexican or Mexican American, Puerto Rican; Cuban or Cuban American, Central or South American, and Dominican or another Hispanic or Latino ethnicity) adults. Depression symptoms were assessed using the 2-item Patient Health Questionnaire. Discrimination was assessed using the 5-item Everyday Discrimination Scale. A multinomial logistic regression with a block entry model was used to assess the relationship between discrimination and the likelihood of depressive symptoms, as well as examine how controls and covariates affected the relationship of interest.

RESULTS

Mexican or Mexican American adults comprised the largest proportion of the sample (533/1181, 45.13%), followed by Central or South American (204/1181, 17.3%), Puerto Rican (189/1181, 16%), Dominican or another Hispanic or Latino ethnicity (172/1181, 14.6%), and Cuban or Cuban American (83/1181, 7.03%). Approximately 31.26% (367/1181) of the sample had depressive symptoms. Regarding discrimination, 54.56% (634/1181) reported experiencing some form of discrimination. Compared with those who did not experience discrimination, those who experienced discrimination had almost 230% higher odds of depressive symptoms (adjusted odds ratio [AOR] 3.31, 95% CI 2.42-4.54). Also, we observed that sociodemographic factors such as age and gender were significant. Compared with participants aged 56 years and older, participants aged 18-35 years and those aged 36-55 years had increased odds of having depressive symptoms (AOR 3.83, 95% CI 2.13-6.90 and AOR 3.10, 95% CI 1.74-5.51, respectively). Women had higher odds of having depressive symptoms (AOR 1.67, 95% CI 1.23-2.30) than men. Respondents with an annual income of less than US $25,000 (AOR 2.14, 95% CI 1.34-3.41) and US $25,000 to less than US $35,000 (AOR 1.89, 95% CI 1.17-3.06) had higher odds of depressive symptoms than those with an annual income of US $50,000 to less than US $75,000.

CONCLUSIONS

Our findings provide significant importance especially when considering the compounding, numerous socioeconomic challenges stemming from the pandemic that disproportionately impact the Hispanic and Latino communities. These challenges include rising xenophobia and tensions against immigrants, inadequate access to mental health resources for Hispanic and Latino individuals, and existing hesitations toward seeking mental health services among this population. Ultimately, these findings can serve as a foundation for promoting health equity.

Impact of COVID-related Discrimination on Psychological Distress and Sleep Disturbances across Race-Ethnicity

COVID-related discrimination towards historically marginalized racial-ethnic groups in the United States has been well-documented; however, its impact on psychological distress and sleep (overall and within specific racial-ethnic groups) is largely unknown. We used data from our nationally representative, online survey of 5,500 American Indian/Alaska Native, Asian, Black/African American, Native Hawaiian/Pacific Islander, Latino, White, and multiracial adults, conducted from 12/2020-2/2021. Participants were asked how often they experienced discriminatory behaviors "because they think you might have COVID-19" (modified Everyday Discrimination Scale). Psychological distress was captured as having experienced anxiety-depression symptoms (Patient Health Questionairre-4, PHQ-4), perceived stress (modified Perceived Stress Scale), or loneliness-isolation ("How often have you felt lonely and isolated?"). Sleep disturbances were measured using the Patient-Reported Outcomes Information System Short Form Sleep Disturbance scale (PROMIS-SF 4a). Overall, 22.1% reported COVID-related discriminatory behaviors (sometimes/always: 9.7%; rarely: 12.4%). 48.4% of participants reported anxiety-depression symptoms (moderate/severe: 23.7% mild: 24.8%), 62.4% reported feeling stressed (moderate/severe: 34.3%; mild: 28,1%), 61.0% reported feeling lonely-isolated (fairly often/very often: 21.3%; almost never/sometimes: 39.7%), and 35.4% reported sleep disturbances (moderate/severe:19.8%; mild: 15.6%). Discrimination was only associated with increased psychological distress among racial-ethnic minorities. For example, COVID-related discrimination was strongly associated with anxiety-depression among Black/African American adults (mild: aOR=2.12, 95% CI=1.43-5.17; moderate/severe: aOR=5.19, 95% CI=3.35-8.05), but no association was observed among White or multiracial adults. Mitigating pandemic-related discrimination could help alleviate mental and sleep health disparities occurring among minoritized racial-ethnic groups.

Changes in the prevalence of perceived discrimination and associations with probable mental health problems in the UK from 2015 to 2020: A repeated cross-sectional analysis of the UK Household Longitudinal Study

Background

Significant social and political changes occurred in the UK between 2015 and 2020. Few studies have examined population level trends in experiencing discrimination and mental health problems during this period.

Aims

To determine prevalence trends in perceived discrimination and probable mental health problems amongst UK adults during 2015-2020.

Method

Repeated cross-sectional data from the UK Household Longitudinal Study was used to estimate nationally representative trends in perceived discrimination and probable mental health problems (GHQ-12; 4+ threshold) among adults between 2015/2016-2019/2020 (25,756 observations). Weighted logistic regression models with post-estimation margins commands determined changes between survey waves controlling for sociodemographic characteristics. Mediation models explored whether changes in perceived discrimination prevalence trends explained trends in probable mental health problems.

Results

From 2015/2016 to 2019/2020 perceived discrimination and probable mental health problems increased significantly by 6·1% (95% CI: 3·4-8·8, p <·001) and 4·5% (95% CI: 1·3-7·7, p = ·006), respectively. These changes did not tend to reliably differ by sociodemographic grouping. Increased prevalence of probable mental health problems from 2015/2016 to 2019/2020 was partially explained (15·2% of association mediated) by the increase in perceived discrimination observed during the same time period.

Conclusions

Amongst UK adults, the prevalence of perceived discrimination and probable mental health problems increased between 2015/2016 to 2019/2020. Increases in perceived discrimination partially explained increases in probable mental health problems. National measures designed to reduce both discrimination and mental health problems have potential to make substantial improvements to public health and should be prioritised in the UK.

Racial discrimination and mental health in the context of anti-Asian xenophobia: An intersecting approach of race, ethnicity, nativity, and socioeconomic status

The COVID-19 pandemic, polarized politics, and heightened stigma and discrimination are salient drivers for negative mental health outcomes, particularly among marginalized racial and ethnic minoritized groups. Intersectionality of race, ethnicity, foreign-born status, and educational attainment may distinctively shape an individual's experience of discrimination and mental health during such unprecedented time. The present study examines the differential associations of racial discrimination and mental health based on an individual's race, ethnicity, foreign-born status, and educational attainment during the COVID-19 pandemic. Analyses were based on a nationally representative sample of U.S. adults collected between October and November 2021 (n = 6276). We utilized multivariable linear regressions to identify the multiplicative effects of race, ethnic, foreign-born status and self-reported racial discrimination on mental health, stratified by educational attainment. Among individuals with lower educational attainment, associations between racial discrimination and poor mental health were stronger among Asians (US-born: β = -2.07, p = 0.03; foreign-born: β = -3.18, p = 0.02) and US-born multiracial individuals (β = -1.96, p = 0.02) than their White counterparts. Among individuals with higher educational attainment, foreign-born Hispanics (β = -3.66, p < 0.001) and US-born Asians (β = -2.07, p = 0.01) reported worst mental health when exposed to racial discrimination out of all other racial, ethnic and foreign-born groups. Our results suggest that association of racial discrimination and mental health varies across racial, ethnic, foreign-born, and education subgroups. Using an intersectional approach to address the widening inequities in racial discrimination and mental health during the COVID-19 pandemic contextualizes unique experience of discrimination and provides crucial insight on the patterns of mental health among marginalized groups.

Effects of frequent assessments on the severity of suicidal thoughts: an ecological momentary assessment study

Objective

In recent years, there has been a significant increase in research using ecological momentary assessment (EMA) to explore suicidal thoughts and behaviors (STBs). Meanwhile, concerns have been raised regarding the potential impacts of frequent and intense STBs assessments on the study participants.

Methods

From November 2021 to June 2023, a total of 83 adolescent and young adult outpatients (Mage = 21.0, SDage = 6.3, 71.1% female), who were diagnosed with mood disorders, were recruited from three psychiatric clinics in China. Smartphone-based EMA was used to measure suicidal thoughts three times per day at randomly selected times. We examined the change of suicidal thoughts in each measurement and within 1 day to evaluate potential adverse effects using Bayesian multilevel models.

Results

The 3,105 effective surveys were nested in 83 participants (median follow-up days: 14 days). The results of two-level models indicated that suicidal thoughts decreased during the monitoring period. However, this effect varied among different individuals in the two-level model.

Conclusion

Our findings did not support the notion that repeated assessment of suicidal thoughts is iatrogenic, but future research should continue to investigate the impact of frequent assessment on suicidal thoughts, taking into account individual differences and utilizing larger sample sizes.

Mental Health and Care Utilization Among Ethiopian-Israeli Immigrants During the Period of COVID-19

As well as affecting physical health, COVID-19 can impact mental health. Despite this, Israelis may not be getting needed mental health care because of culture-related barriers such as stigma and lack of knowledge about mental health and appropriate care. This is especially likely among vulnerable populations, such as Ethiopian immigrants, yet the topic has been understudied. This study aimed to examine to what extent COVID-19-related mental health stressors and issues are found among Ethiopian-Israelis and the extent of stigma and mental health literacy among Ethiopian-Israelis during the COVID-19 period. It also examined differences between the 1.5th and 2nd generations and potential interventions to improve their mental health. Online surveys were filled out by a convenience sample of 225 Ethiopian-Israelis recruited from a variety of sources in the fall of 2020. Over 40% expressed greater mental distress since COVID-19 started. Stigma and lack of mental health-related knowledge were found among many in this population, serving as potentially important barriers to getting appropriate mental health care. For example, only 52% disagreed with the statement that people with mental illness should not be given any responsibility and only 66% felt confident they could identify having a mental health problem requiring treatment. Variations were found by types of stressors, stigma, and lack of knowledge, as well as by immigration generation, for at least some measures. COVID-19 can negatively impact mental health and appropriate mental health care utilization, especially for a racial/ethnic minority group of immigrants such as Ethiopian-Israelis. Interventions are needed, such as increased education about mental health from a variety of sources, which can help decrease stigma and improve mental health care utilization among this group, especially when appropriately tailored.

Social Statuses, Perceived Everyday Discrimination and Health and Well-being Before and After COVID-19 Pandemic

This study investigates the impact of COVID-19 pandemic on perceived everyday discrimination using data from the 2018 and 2021 General Social Survey. The study included representative samples of 1,499 adults in 2018 and 2,361 adults in 2021 in the United States. The study found that the overall level of perceived everyday discrimination had a slight decline from 2018 to 2021. However, frequency of being threatened/harassed increased in all racial/ethnic groups and more substantially among Asian Americans and people in the "other race" category. Most social statuses had a similar association with perceived everyday discrimination in 2018 and 2021 (e.g., higher among younger age, homo/bisexual, non-Hispanic Black, U.S. born, divorced/separated). In 2018, perceived discrimination was also higher among Hispanics, people of multiple races, Jews and people of "other religions." In 2021, it was also higher among "other races" and parents who were never married. Perceived everyday discrimination was associated with all health and well-being outcomes. Also, the negative association between perceived discrimination and health and well-being appears to be stronger in 2021 than in 2018. These findings suggest that the pandemic intensified the relationship between perceived everyday discrimination and health and well-being. They point to an urgent need to develop effective efforts to mitigate the harmful impact of discrimination.

Parent-Child Nativity, Race, Ethnicity, and Common Mental Health Conditions Among United States Children and Adolescents

OBJECTIVE

To examine associations between race, ethnicity, and parent-child nativity, and common mental health conditions among U.S. children and adolescents.

METHODS

Data were from 2016 to 2019 National Survey of Children's Health, a US population-based, serial cross-sectional survey, and restricted to children who had access to health care. We used weighted multivariable logistic regression to examine the associations between race and ethnicity (Asian, Black, Hispanic, White, Other-race); mental health outcomes (depression, anxiety, and behavior/conduct problems) stratified by household generation; and between household generation and outcomes stratified by race and ethnicity, adjusting for demographics (age, sex, family income to poverty ratio, parental education), and an adverse childhood experience (ACE) score.

RESULTS

When stratifying by household generation, racial and ethnic minority children generally had similar to lower odds of outcomes compared with White children, with the exception of higher odds of behavior/conduct problems among third + -generation Black children. When stratifying by race and ethnicity, third + generation children had increased odds of depression compared to their first-generation counterparts. Third + generation, racial and ethnic minority children had increased odds of anxiety and behavior/conduct problems compared with their first-generation counterparts. The associations generally remained significant after adjusting for the ACE score.

CONCLUSIONS

Lower odds of common mental health conditions in racial and ethnic minority children could be due to factors such as differential reporting, and higher estimates, including those in third + generation children, could be due to factors including discrimination; systemic racism; and other factors that vary by generation and need further investigation to advance health equity.

Mental Health of Brazilian Immigrant Women: The Role of Discrimination, Social Support, and Community Strengths

Little is known about the mental health status of Brazilians living in the U.S. We assessed the prevalence and correlates of depression to guide the development of culturally relevant community-based mental health interventions. An online survey was conducted between July and August 2020 among a sample of Brazilian women living in the U.S. (age 18 and over, born in Brazil, English or Portuguese speaking) recruited through Brazilian social media pages and community organizations. The survey assessed depression using the Center for Epidemiological Study Depression Scale (CES-D-10), the Everyday Discrimination Scale (EDS), the Oslo Social Support Scale (OSSS), and community strengths (CS). We first assessed the correlation between CES-D-10 scores and EDS, OSSS, and CS. We found that half of the participants (52.2%) had CES-D-10 scores of 10 or greater, indicating the presence of depressive symptomatology. In a multivariable model controlling for significant covariates (age, time lived in U.S.), EDS was positively associated with CES-D-10 scores (β = 0.64, 95% CI = 0.45, 0.83), while OSSS was negatively associated with CES-D-10 scores (β = -0.53, 95% C I= -0.80, -0.27). No statistically significant relationship was observed between CES-D-10 and CS scores. In this sample of Brazilian immigrant women, depressive symptomatology was highly prevalent, and experiences of discrimination were associated with increased symptoms of depression. There is a need to understand and address mental health in Brazilian immigrant women.

The Effects of Suicide Exposure on Mental Health Outcomes Among Post-9/11 Veterans: Protocol for an Explanatory, Sequential, Mixed Methods Study

BACKGROUND

The toll associated with suicide goes well beyond the individual who died. This study focuses on a risk factor for veteran suicide that has received little previous empirical attention-exposure to the suicide death of another person.

OBJECTIVE

The study's primary objective is to describe the mental health outcomes associated with suicide exposure among veterans who served on active duty after September 2001 ("post-9/11"). The secondary objective is to elucidate why some veterans develop persistent problems following suicide exposure, whereas others do not.

METHODS

This is an explanatory, sequential, mixed methods study of a nationally representative sample of post-9/11 veterans enrolled in Department of Veterans Affairs (VA) health care. Our sampling strategy was designed for adequate representation of female and American Indian and Alaska Native veterans to allow for examination of associations between suicide exposure and outcomes within these groups. Primary outcomes comprise mental health problems associated with trauma and loss (posttraumatic stress disorder and prolonged grief disorder) and suicide precursors (suicidal ideation, attempts, and planning). Data collection will be implemented in 3 waves. During wave 1, we will field a brief survey to a national probability sample to assess exposure history (suicide, other sudden death, or neither) and exposure characteristics (eg, closeness with the decedent) among 11,400 respondents. In wave 2, we will include 39.47% (4500/11,400) of the wave-1 respondents, stratified by exposure history (suicide, other sudden death, or neither), to assess health outcomes and other variables of interest. During wave 3, we will conduct interviews with a purposive subsample of 32 respondents exposed to suicide who differ in mental health outcomes. We will supplement the survey and interview data with VA administrative data identifying diagnoses, reported suicide attempts, and health care use.

RESULTS

The study began on July 1, 2022, and will end on June 30, 2026. This is the only national, population-based study of suicide exposure in veterans and the first one designed to study differences based on sex and race. Comparing those exposed to suicide with those exposed to sudden death for reasons other than suicide (eg, combat) and those unexposed to any sudden death may allow for the identification of the common and unique contribution of suicide exposure to outcomes and help seeking.

CONCLUSIONS

Integrating survey, qualitative, and VA administrative data to address significant knowledge gaps regarding the effects of suicide exposure in a national sample will lay the foundation for interventions to address the needs of individuals affected by a suicide death, including female and American Indian and Alaska Native veterans.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/51324.

Ecological Momentary Assessment and Machine Learning for Predicting Suicidal Ideation Among Sexual and Gender Minority Individuals

Importance

Suicidality poses a serious global health concern, particularly in the sexual and gender minority population. While various studies have focused on investigating chronic stressors, the precise prediction effect of daily experiences on suicide ideation remains uncertain.

Objective

To test the extent to which mood fluctuations and contextual stressful events experienced by sexual and gender minority individuals may predict later short- and long-term suicide ideation.

Design, Setting, and Participants

This diagnostic study collected twice-daily data on mood states and stressful events from sexual and gender minority individuals over 25 days throughout 3 waves of the Chinese Lunar New Year (before, during, and after), and follow-up surveys assessing suicidal ideation were conducted 1, 3, and 8 months later. Online recruitment advertisements were used to recruit young adults throughout China. Eligible participants were self-identified as sexual and gender minority individuals aged 18 to 29 years. Those who were diagnosed with psychotic disorders (eg, schizophrenia spectrum or schizotypal disorder) or prevented from objective factors (ie, not having a phone or having an irregular sleep rhythm) were excluded. Data were collected from January to October 2022.

Main Outcomes and Measures

To predict short-term (1 month) and longer-term (3 and 8 months) suicidal ideation, the study tested several approaches by using machine learning including chronic stress baseline data (baseline approach), dynamic patterns of mood states and stressful events (ecological momentary assessment [EMA] approach), and a combination of baseline data and dynamic patterns (EMA plus baseline approach).

Results

A total of 103 sexual and gender minority individuals participated in the study (mean [SD] age, 24.2 [2.5] years; 72 [70%] female). Of these, 19 (18.4%; 95% CI, 10.9%-25.9%), 25 (24.8%; 95% CI, 16.4%-33.2%), 30 (29.4%; 95% CI, 20.6%-38.2%), and 32 (31.1%; 95% CI, 22.2%-40.0%) reported suicidal ideation at baseline, 1, 3, and 8 months follow-up, respectively. The EMA approach showed better performance than the baseline and baseline plus EMA approaches at 1-month follow-up (area under the receiver operating characteristic curve [AUC], 0.80; 95% CI, 0.78-0.81) and slightly better performance on the prediction of suicidal ideation at 3 and 8 months' follow-up. In addition, the best approach predicting suicidal ideation was obtained during Lunar New Year period at 1-month follow-up, which had a mean AUC of 0.77 (95% CI, 0.74-0.79) and better performance at 3 and 8 months' follow-up (AUC, 0.74; 95% CI, 0.72-0.76 and AUC, 0.72; 95% CI, 0.69-0.74, respectively).

Conclusions and Relevance

The findings in this study emphasize the importance of contextual risk factors experienced by sexual and gender minority individuals at different stages. The use of machine learning may facilitate the identification of individuals who are at risk and aid in the development of personalized process-based early prevention programs to mitigate future suicide risk.

A social network analysis: mental health scales used during the COVID-19 pandemic

Introduction

The focus on psychological issues during COVID-19 has led to the development of large surveys that involve the use of mental health scales. Numerous mental health measurements are available; choosing the appropriate measurement is crucial.

Methods

A rule-based named entity recognition was used to recognize entities of mental health scales that occur in the articles from PubMed. The co-occurrence networks of mental health scales and Medical Subject Headings (MeSH) terms were constructed by Gephi.

Results

Five types of MeSH terms were filtered, including research objects, research topics, research methods, countries/regions, and factors. Seventy-eight mental health scales were discovered.

Discussion

The findings provide insights on the scales used most often during the pandemic, the key instruments used to measure healthcare workers' physical and mental health, the scales most often utilized for assessing maternal mental health, the tools used most commonly for assessing older adults' psychological resilience and loneliness, and new COVID-19 mental health scales. Future studies may use these findings as a guiding reference and compass.

Subtyping Social Determinants of Health in All of Us: Network Analysis and Visualization Approach

Background

Social determinants of health (SDoH), such as financial resources and housing stability, account for between 30-55% of people's health outcomes. While many studies have identified strong associations among specific SDoH and health outcomes, most people experience multiple SDoH that impact their daily lives. Analysis of this complexity requires the integration of personal, clinical, social, and environmental information from a large cohort of individuals that have been traditionally underrepresented in research, which is only recently being made available through the All of Us research program. However, little is known about the range and response of SDoH in All of Us, and how they co-occur to form subtypes, which are critical for designing targeted interventions.

Objective

To address two research questions: (1) What is the range and response to survey questions related to SDoH in the All of Us dataset? (2) How do SDoH co-occur to form subtypes, and what are their risk for adverse health outcomes?

Methods

For Question-1, an expert panel analyzed the range of SDoH questions across the surveys with respect to the 5 domains in Healthy People 2030 (HP-30), and analyzed their responses across the full All of Us data (n=372,397, V6). For Question-2, we used the following steps: (1) due to the missingness across the surveys, selected all participants with valid and complete SDoH data, and used inverse probability weighting to adjust their imbalance in demographics compared to the full data; (2) an expert panel grouped the SDoH questions into SDoH factors for enabling a more consistent granularity; (3) used bipartite modularity maximization to identify SDoH biclusters, their significance, and their replicability; (4) measured the association of each bicluster to three outcomes (depression, delayed medical care, emergency room visits in the last year) using multiple data types (surveys, electronic health records, and zip codes mapped to Medicaid expansion states); and (5) the expert panel inferred the subtype labels, potential mechanisms that precipitate adverse health outcomes, and interventions to prevent them.

Results

For Question-1, we identified 110 SDoH questions across 4 surveys, which covered all 5 domains in HP-30. However, the results also revealed a large degree of missingness in survey responses (1.76%-84.56%), with later surveys having significantly fewer responses compared to earlier ones, and significant differences in race, ethnicity, and age of participants of those that completed the surveys with SDoH questions, compared to those in the full All of Us dataset. Furthermore, as the SDoH questions varied in granularity, they were categorized by an expert panel into 18 SDoH factors. For Question-2, the subtype analysis (n=12,913, d=18) identified 4 biclusters with significant biclusteredness (Q=0.13, random-Q=0.11, z=7.5, P<0.001), and significant replication (Real-RI=0.88, Random-RI=0.62, P<.001). Furthermore, there were statistically significant associations between specific subtypes and the outcomes, and with Medicaid expansion, each with meaningful interpretations and potential targeted interventions. For example, the subtype Socioeconomic Barriers included the SDoH factors not employed, food insecurity, housing insecurity, low income, low literacy, and low educational attainment, and had a significantly higher odds ratio (OR=4.2, CI=3.5-5.1, P-corr<.001) for depression, when compared to the subtype Sociocultural Barriers. Individuals that match this subtype profile could be screened early for depression and referred to social services for addressing combinations of SDoH such as housing insecurity and low income. Finally, the identified subtypes spanned one or more HP-30 domains revealing the difference between the current knowledge-based SDoH domains, and the data-driven subtypes.

Conclusions

The results revealed that the SDoH subtypes not only had statistically significant clustering and replicability, but also had significant associations with critical adverse health outcomes, which had translational implications for designing targeted SDoH interventions, decision-support systems to alert clinicians of potential risks, and for public policies. Furthermore, these SDoH subtypes spanned multiple SDoH domains defined by HP-30 revealing the complexity of SDoH in the real-world, and aligning with influential SDoH conceptual models such as by Dahlgren-Whitehead. However, the high-degree of missingness warrants repeating the analysis as the data becomes more complete. Consequently we designed our machine learning code to be generalizable and scalable, and made it available on the All of Us workbench, which can be used to periodically rerun the analysis as the dataset grows for analyzing subtypes related to SDoH, and beyond.

The moderating role of resilience in the relationship between experiences of COVID-19 response-related discrimination and disinformation among people who inject drugs

BACKGROUND

Due to the persistence of COVID-19, it remains important to measure and examine potential barriers to COVID-19 prevention and treatment to avert additional loss of life, particularly among stigmatized populations, such as people who inject drugs (PWID), who are at high risk for contracting and spreading SARS-CoV-2. We assessed the psychometrics of a novel COVID-19 response-related discrimination scale among PWID, and characterized associations between COVID-19 response-related discrimination, resilience to adversity, and endorsement of COVID-19 disinformation.

METHODS

We assessed internal reliability, structural validity and construct validity of a 4-item COVID-19 response-related discrimination scale among PWID living in San Diego County, completing interviewer-administered surveys between October 2020 and September 2021. Using negative binomial regression, we assessed the relationship between COVID-19 response-related discrimination and disinformation and the potential moderating role of resilience.

RESULTS

Of 381 PWID, mean age was 42.6 years and the majority were male (75.6 %) and Hispanic (61.9 %). The COVID-19 response-related discrimination scale had modest reliability (α = 0.66, ω = 0.66) as a single construct with acceptable construct validity (all p ≤ 0.05). Among 216 PWID who completed supplemental surveys, a significant association between COVID-19 response-related discrimination and COVID-19 disinformation was observed, which was moderated by resilience (p = 0.044). Specifically, among PWID with high levels of resilience, endorsement of COVID-19 disinformation significantly increased as exposure to COVID-19 response-related discrimination increased (p = 0.011).

CONCLUSIONS

These findings suggest that intervening on COVID-19 response-related discrimination may offset the negative outcomes associated with COVID-19 disinformation.

Meta-analysis of the effect of racial discrimination on suicidality

Racial discrimination (RD) is unfair treatment of individuals based on race or ethnicity. It is a pervasive and increasing phenomenon in the lives of many individuals with deleterious effects on mental health. Research implicates RD in diminished well-being, lower life satisfaction and self-esteem, and mental health disorders. Furthermore, there have been reports that minorities and marginalized groups exposed to RD are at a higher risk of suicide. Given that RD negatively impacts mental health and that suicide is a major public health concern, we meta-analytically reviewed the literature to investigate whether RD is associated with suicidal ideation (SI) and suicide attempt (SA). We identified 43 eligible articles investigating the association between RD and suicidality through PubMed, Embase, PsycINFO and Scopus, from which we pooled 39 effect sizes for SI (58,629 individuals) and 15 for SA (30,088 individuals). Results demonstrated that RD has a small but significant effect both on SI (r = 0.16, 95% CI: 0.12 to 0.19; p < 0.0001) and on SA (r = 0.13, 95% CI: 0.02 to 0.23; p = 0.018). We found no indication of publication bias, and fail-safe tests confirmed the robustness of the results. Furthermore, we tested the moderating effects of several study characteristics (e.g., age, race, RD and SI time frame assessment, and categorization of RD measures). The only study characteristic to moderate the effect of RD on SI was SI time frame assessment (r = 0.07; 95% CI: 0.015 to 0.12; p = 0.01). Our findings suggest that SI and SA are phenomena that may be influenced by exposure to RD. Thus, individuals that are discriminated based on race may develop more suicidal thoughts and an increased likelihood of attempting suicide. These findings underscore the need for more prevention and intervention efforts to attenuate the effect of RD on suicidality.

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We conducted a meta-analysis of 62,349 individuals.

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We pooled effect sizes from 43 studies from seven countries.

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Racial discrimination has a statistically significant effect on suicidal ideation (r = 0.16, p < 0.0001).

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Racial discrimination has a statistically significant effect on suicide attempt (r = 0.13, p = 0.018).