The effect of cognitive behavioral therapy text messages on mood: A micro-randomized trial.

The StayWell at Home intervention, a 60-day text-messaging program based on Cognitive Behavioral Therapy (CBT) principles, was developed to help adults cope with the adverse effects of the global pandemic. Participants in StayWell at Home were found to show reduced depressive and anxiety symptoms after participation. However, it remains unclear whether the intervention improved mood and which intervention components were most effective at improving user mood during the pandemic. Thus, utilizing a micro-randomized trial (MRT) design, we examined two intervention components to inform the mechanisms of action that improve mood: 1) text messages delivering CBT-informed coping strategies (i.e., behavioral activation, other coping skills, or social support); 2) time at which messages were sent. Data from two independent trials of StayWell are included in this paper. The first trial included 303 adults aged 18 or older, and the second included 266 adults aged 18 or older. Participants were recruited via online platforms (e.g., Facebook ads) and partnerships with community-based agencies aiming to reach diverse populations, including low-income individuals and people of color. The results of this paper indicate that participating in the program improved and sustained self-reported mood ratings among participants. We did not find significant differences between the type of message delivered and mood ratings. On the other hand, the results from Phase 1 indicated that delivering any type of message in the 3 pm-6 pm time window improved mood significantly over sending a message in the 9 am-12 pm time window. The StayWell at Home program increases in mood ratings appeared more pronounced during the first two to three weeks of the intervention and were maintained for the remainder of the study period. The current paper provides evidence that low-burden text-message interventions may effectively address behavioral health concerns among diverse communities.

Effectiveness and implementation of a text messaging intervention to reduce depression and anxiety symptoms among Latinx and Non-Latinx white users during the COVID-19 pandemic.

Text messaging interventions are increasingly used to help people manage depression and anxiety. However, little is known about the effectiveness and implementation of these interventions among U.S. Latinxs, who often face barriers to using mental health tools. The StayWell at Home (StayWell) intervention, a 60-day text messaging program based on cognitive behavioral therapy (CBT), was developed to help adults cope with depressive and anxiety symptoms during the COVID-19 pandemic. StayWell users (n = 398) received daily mood inquiries and automated skills-based text messages delivering CBT-informed coping strategies from an investigator-generated message bank. We conduct a Hybrid Type 1 mixed-methods study to compare the effectiveness and implementation of StayWell for Latinx and Non-Latinx White (NLW) adults using the Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) framework. Effectiveness was measured using the PHQ-8 depression and GAD-7 anxiety scales, assessed before starting and after completing StayWell. Guided by RE-AIM, we conducted a thematic text analysis of responses to an open-ended question about user experiences to help contextualize quantitative findings. Approximately 65.8% (n = 262) of StayWell users completed pre-and-post surveys. On average, depressive (-1.48, p = 0.001) and anxiety (-1.38, p = 0.001) symptoms decreased from pre-to-post StayWell. Compared to NLW users (n = 192), Latinx users (n = 70) reported an additional -1.45 point (p < 0.05) decline in depressive symptoms, adjusting for demographics. Although Latinxs reported StayWell as relatively less useable (76.8 vs. 83.9, p = 0.001) than NLWs, they were more interested in continuing the program (7.5 vs. 6.2 out of 10, p = 0.001) and recommending it to a family member/friend (7.8 vs. 7.0 out of 10, p = 0.01). Based on the thematic analysis, both Latinx and NLW users enjoyed responding to mood inquiries and sought bi-directional, personalized text messages and texts with links to more information to resources. Only NLW users stated that StayWell provided no new information than they already knew from therapy or other sources. In contrast, Latinx users suggested that engagement with a behavioral provider through text or support groups would be beneficial, highlighting this group's unmet need for behavioral health care. mHealth interventions like StayWell are well-positioned to address population-level disparities by serving those with the greatest unmet needs if they are culturally adapted and actively disseminated to marginalized groups. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT04473599.

Racial Discrimination, Social Disadvantage, and Racial-Ethnic Disparities in COVID-19 Vaccine Uptake.

Introduction: Racial-ethnic disparities in COVID-19 vaccination are well documented. The extent to which racism, manifested at the individual and ZIP code levels, explains disparities in early vaccination uptake remains unclear. Methods: Data from a statewide poll of California registered voters (N=10,256), conducted between April 29 and May 5, 2021, linked to area-level resource data, were analyzed. Weighted multivariable logistic regression models examined racial disparities in COVID-19 vaccination. Decomposition analyses quantified how much of the observed racial disparities in vaccination were explained by racial discrimination and social disadvantage (i.e., educational attainment, 2019 household income, and ZIP code social vulnerability). Results: Latinx (64.6%) and Black (66.7%) adults were less likely to have at least 1 COVID-19 vaccine dose by April or May 2021 than White adults (74.7%). In adjusted analyses, Latinx (AOR=0.69, 95% CI=0.57, 0.84) and Black (AOR=0.51, 95% CI=0.37, 0.70) adults had a lower likelihood of being vaccinated than Whites. Social disadvantage accounted for 77.4% (p<0.05) and 35.8% (p<0.05) of the explainable variation in Latinx-White and Black-White disparities, respectively. Self-reported racial discrimination was not associated with COVID-19 vaccination in adjusted analyses. Conclusions: Social disadvantage but not self-reported racial discrimination explained racial-ethnic disparities in COVID-19 vaccination in California. Removing resource-related barriers may help to increase the relatively low COVID-19 vaccination rates among Black and Latinx populations.

Frontline work and racial disparities in social and economic pandemic stressors during the first COVID-19 surge.

OBJECTIVE: To assess the magnitude of racial-ethnic disparities in pandemic-related social stressors and examine frontline work's moderating relationship on these stressors. DATA SOURCES: Employed Californians' responses to the Institute for Governmental Studies (IGS) poll from April 16-20, 2020, were analyzed. The Pandemic Stressor Scale (PSS) assessed the extent to which respondents experienced or anticipated problems resulting from the inability to pay for basic necessities, job instability, lacking paid sick leave, unavailability of childcare, and reduced wages or work hours due to COVID-19. STUDY DESIGN: Mixed-effects generalized linear models estimated (1) racial-ethnic disparities in pandemic stressors among workers during the first COVID-19 surge, adjusting for covariates, and (2) tested the interaction between race-ethnicity and frontline worker status, which includes a subset of essential workers who must perform their job on-site, to assess differential associations of frontline work by race-ethnicity. DATA COLLECTION: The IGS poll data from employed workers (n = 4795) were linked to the 2018 Centers for Disease Control and Prevention Social Vulnerability Index at the zip code level (N = 1068). PRINCIPAL FINDINGS: The average PSS score was 37.34 (SD = 30.49). Whites had the lowest PSS score (29.88, SD = 26.52), and Latinxs had the highest (50.74, SD = 32.61). In adjusted analyses, Black frontline workers reported more pandemic-related stressors than White frontline workers (PSS = 47.73 vs. 36.96, p < 0.001). Latinxs reported more pandemic stressors irrespective of frontline worker status. However, the 5.09-point difference between Latinx frontline and non-frontline workers was not statistically different from the 4.6-point disparity between White frontline and non-frontline workers. CONCLUSION: Latinx workers and Black frontline workers disproportionately reported pandemic-related stressors. To reduce stress on frontline workers during crises, worker protections like paid sick leave, universal access to childcare, and improved job security are needed, particularly for those disproportionately affected by structural inequities, such as racially minoritized populations.

Willingness to Receive the COVID-19 Vaccine in California: Disparities by Race and Citizenship Status.

Although it is widely acknowledged that racialized minorities may report lower COVID-19 vaccine willingness compared to non-Hispanic white individuals, what is less known, however, is whether the willingness to receive the COVID-19 vaccine also differs by citizenship. Understanding disparities in vaccine willingness by citizenship is particularly important given the misleading rhetoric of some political leaders regarding vaccine eligibility by citizenship status. This study used the 2020 California Health Interview Survey (n = 21,949) to examine disparities in vaccine willingness by race/ethnicity and citizenship among Asian, Latinx, and non-Hispanic white individuals. Overall, 77.7% of Californians indicated that they were willing to receive the COVID-19 vaccine if it was made available. However, there were distinct differences by race/ethnicity and citizenship. Asian people, regardless of citizenship, had the highest predicted probability of vaccine willingness, accounting for demographic, socioeconomic, and health factors. Non-citizen Latinx and non-citizen non-Hispanic white people had higher predicted probabilities of vaccine willingness compared to their US-born counterparts, accounting for demographic, socioeconomic, and health factors. Our results reveal that although vaccine willingness may be high among non-citizen individuals, it may not necessarily translate into actual vaccine uptake. Furthermore, while individual-level factors may account for some of the differences in vaccine willingness by race/ethnicity and citizenship, other institutional and structural barriers prevent vaccine uptake.

Prevalence and risk factors of food insecurity among Californians during the COVID-19 pandemic: Disparities by immigration status and ethnicity.

The COVID-19 pandemic exacerbated socioeconomic disparities in food insecurity. Non-citizens, who do not qualify for most publicly-funded food assistance programs, may be most vulnerable to food insecurity during the pandemic. However, no study has examined heterogeneity in food insecurity by immigration status and ethnicity in the context of the pandemic. We analyzed the 2020 non-restricted California Health Interview Survey to examine disparities in food insecurity by ethnicity and immigration status (i.e., US-born, naturalized, non-citizen) among Asians and Latinxs (N = 19,514) compared to US-born Whites. Weighted multivariable logistic regression analyses assessed the association of immigration status and ethnicity with food insecurity. Decomposition analyses assessed the extent to which pandemic-related economic stressors, including experiencing reduced work hours or losing a job versus pre-pandemic socioeconomic position (SEP), accounted for disparities in food insecurity by ethnicity and immigration status. Regardless of immigration status, Latinxs were more likely to experience food insecurity than Whites. Based on the adjusted analyses, non-citizen, naturalized, and US-born Latinxs had a predicted probability of 12%, 11.4%, and 11.9% of experiencing food insecurity, respectively. In contrast, non-citizen Asians, but not US-born or naturalized Asians, reported greater food insecurity than Whites (12.5% vs. 8.2%). SEP accounted for 43% to 66% of the relationship between immigration status-ethnicity and food insecurity. The pandemic exacerbated economic hardship, but food insecurity was largely explained by long-standing SEP-related factors among Latinxs, regardless of immigration status, and non-citizen Asians. To address disparities in food insecurity, social assistance programs and COVID-19 economic relief should be extended to non-citizens.

Immigration Policy Vulnerability Linked to Adverse Mental Health Among Latino Day Laborers.

Latino day laborers in the United States are socially and economically vulnerable due to exclusionary immigration policies. Using data from a multi-mode survey, we examine the relationship between immigration policy legal vulnerability and mental health outcomes among 138 Latino, male day laborers (mean age = 45.65, SD = 12.05). Multivariable linear and logistic regression models separately estimated the effect of legal vulnerability, as measured by the Perceived Immigration Policy Effects Scale, on anxiety and depression symptoms and a positive depression and anxiety screening, respectively. Approximately 26.1% and 27.9% of day laborers reported depression and anxiety symptoms, respectively. In each adjusted model, we find a positive relationship between legal vulnerability and adverse mental health. Immigration policy legal vulnerability is associated with more depression and anxiety symptoms among Latino day laborers. Policies to reduce legal vulnerability, such as pathways to citizenship and employment authorization, may support Latino day laborers' mental health outcomes.

A Text Messaging Intervention (StayWell at Home) to Counteract Depression and Anxiety During COVID-19 Social Distancing: Pre-Post Study.

BACKGROUND: Social distancing and stay-at-home orders are critical interventions to slow down person-to-person transmission of COVID-19. While these societal changes help contain the pandemic, they also have unintended negative consequences, including anxiety and depression. We developed StayWell, a daily skills-based SMS text messaging program, to mitigate COVID-19-related depression and anxiety symptoms among people who speak English and Spanish in the United States. OBJECTIVE: This paper describes the changes in StayWell participants' anxiety and depression levels after 60 days of exposure to skills-based SMS text messages. METHODS: We used self-administered, empirically supported web-based questionnaires to assess the demographic and clinical characteristics of StayWell participants. Anxiety and depression were measured using the 2-item Generalized Anxiety Disorder (GAD-2) scale and the 8-item Patient Health Questionnaire-8 (PHQ-8) scale at baseline and 60-day timepoints. We used 2-tailed paired t tests to detect changes in PHQ-8 and GAD-2 scores from baseline to follow-up measured 60 days later. RESULTS: The analytic sample includes 193 participants who completed both the baseline and 60-day exit questionnaires. At the 60-day time point, there were significant reductions in both PHQ-8 and GAD-2 scores from baseline. We found an average reduction of -1.72 (95% CI -2.35 to -1.09) in PHQ-8 scores and -0.48 (95% CI -0.71 to -0.25) in GAD-2 scores. These improvements translated to an 18.5% and 17.2% reduction in mean PHQ-8 and GAD-2 scores, respectively. CONCLUSIONS: StayWell is an accessible, low-intensity population-level mental health intervention. Participation in StayWell focused on COVID-19 mental health coping skills and was related to improved depression and anxiety symptoms. In addition to improvements in outcomes, we found high levels of engagement during the 60-day intervention period. Text messaging interventions could serve as an important public health tool for disseminating strategies to manage mental health. TRIAL REGISTRATION: ClinicalTrials.gov NCT04473599; https://clinicaltrials.gov/ct2/show/NCT04473599. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/23592.