Linguistic Methodologies to Surveil the Leading Causes of Mortality: Scoping Review of Twitter for Public Health Data.

BACKGROUND: Twitter has become a dominant source of public health data and a widely used method to investigate and understand public health-related issues internationally. By leveraging big data methodologies to mine Twitter for health-related data at the individual and community levels, scientists can use the data as a rapid and less expensive source for both epidemiological surveillance and studies on human behavior. However, limited reviews have focused on novel applications of language analyses that examine human health and behavior and the surveillance of several emerging diseases, chronic conditions, and risky behaviors. OBJECTIVE: The primary focus of this scoping review was to provide a comprehensive overview of relevant studies that have used Twitter as a data source in public health research to analyze users' tweets to identify and understand physical and mental health conditions and remotely monitor the leading causes of mortality related to emerging disease epidemics, chronic diseases, and risk behaviors. METHODS: A literature search strategy following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) extended guidelines for scoping reviews was used to search specific keywords on Twitter and public health on 5 databases: Web of Science, PubMed, CINAHL, PsycINFO, and Google Scholar. We reviewed the literature comprising peer-reviewed empirical research articles that included original research published in English-language journals between 2008 and 2021. Key information on Twitter data being leveraged for analyzing user language to study physical and mental health and public health surveillance was extracted. RESULTS: A total of 38 articles that focused primarily on Twitter as a data source met the inclusion criteria for review. In total, two themes emerged from the literature: (1) language analysis to identify health threats and physical and mental health understandings about people and societies and (2) public health surveillance related to leading causes of mortality, primarily representing 3 categories (ie, respiratory infections, cardiovascular disease, and COVID-19). The findings suggest that Twitter language data can be mined to detect mental health conditions, disease surveillance, and death rates; identify heart-related content; show how health-related information is shared and discussed; and provide access to users' opinions and feelings. CONCLUSIONS: Twitter analysis shows promise in the field of public health communication and surveillance. It may be essential to use Twitter to supplement more conventional public health surveillance approaches. Twitter can potentially fortify researchers' ability to collect data in a timely way and improve the early identification of potential health threats. Twitter can also help identify subtle signals in language for understanding physical and mental health conditions.

Pandemic distress associated with segregation and social stressors.

Background: Racial/ethnic minorities are disproportionately impacted by the COVID-19 pandemic, as they are more likely to experience structural and interpersonal racial discrimination, and thus social marginalization. Based on this, we tested for associations between pandemic distress outcomes and four exposures: racial segregation, coronavirus-related racial bias, social status, and social support. Methods: Data were collected as part of a larger longitudinal national study on mental health during the pandemic (n = 1,309). We tested if county-level segregation and individual-level social status, social support, and coronavirus racial bias were associated with pandemic distress using cumulative ordinal regression models, both unadjusted and adjusted for covariates (gender, age, education, and income). Results: Both the segregation index (PR = 1.19; 95% CI 1.03, 1.36) and the coronavirus racial bias scale (PR = 1.17; 95% CI 1.06, 1.29) were significantly associated with pandemic distress. Estimates were similar, after adjusting for covariates, for both segregation (aPR = 1.15; 95% CI 1.01, 1.31) and coronavirus racial bias (PR = 1.12; 95% CI 1.02, 1.24). Higher social status (aPR = 0.74; 95% CI 0.64, 0.86) and social support (aPR = 0.81; 95% CI 0.73, 0.90) were associated with lower pandemic distress after adjustment. Conclusion: Segregation and coronavirus racial bias are relevant pandemic stressors, and thus have implications for minority health. Future research exploring potential mechanisms of this relationship, including specific forms of racial discrimination related to pandemic distress and implications for social justice efforts, are recommended.

Differences in mental health and alcohol use across profiles of COVID-19 disruptions.

This study aimed to examine differences in mental health and alcohol use outcomes across distinct patterns of work, home, and social life disruptions associated with the COVID-19 pandemic. Data from 2093 adult participants were collected from September 2020 to April 2021 as a part of a larger study examining the impacts of the COVID-19 pandemic on substance use. Participants provided data on COVID-19 pandemic experiences, mental health outcomes, media consumption, and alcohol use at baseline. Alcohol use difficulties, including problems related to the use, desire to use alcohol, failure to cut down on alcohol use, and family/friend concern with alcohol use, were measured at 60-day follow-up. Factor mixture modeling followed by group comparisons, multiple linear regressions, and multiple logistic regressions was conducted. A four-profile model was selected. Results indicated that profile membership predicted differences in mental health and alcohol use outcomes above and beyond demographics. Individuals experiencing the most disruption reported the strongest daily impact of COVID-19 and significantly high levels of depression, anxiety, loneliness, overwhelm, alcohol use at baseline, and alcohol use difficulties measured at 60-day follow-up. The findings highlight the need for integrated mental health and/or alcohol services and social services targeting work, home, and social life during public health emergencies in order to respond effectively and comprehensively to the needs of those requiring different types of support.

A daily diary study into the effects on mental health of COVID-19 pandemic-related behaviors.

BACKGROUND: Recommendations for promoting mental health during the COVID-19 pandemic include maintaining social contact, through virtual rather than physical contact, moderating substance/alcohol use, and limiting news and media exposure. We seek to understand if these pandemic-related behaviors impact subsequent mental health. METHODS: Daily online survey data were collected on adults during May/June 2020. Measures were of daily physical and virtual (online) contact with others; substance and media use; and indices of psychological striving, struggling and COVID-related worry. Using random-intercept cross-lagged panel analysis, dynamic within-person cross-lagged effects were separated from more static individual differences. RESULTS: In total, 1148 participants completed daily surveys [657 (57.2%) females, 484 (42.1%) males; mean age 40.6 (s.d. 12.4) years]. Daily increases in news consumed increased COVID-related worrying the next day [cross-lagged estimate = 0.034 (95% CI 0.018-0.049), FDR-adjusted p = 0.00005] and vice versa [0.03 (0.012-0.048), FDR-adjusted p = 0.0017]. Increased media consumption also exacerbated subsequent psychological struggling [0.064 (0.03-0.098), FDR-adjusted p = 0.0005]. There were no significant cross-lagged effects of daily changes in social distancing or virtual contact on later mental health. CONCLUSIONS: We delineate a cycle wherein a daily increase in media consumption results in a subsequent increase in COVID-related worries, which in turn increases daily media consumption. Moreover, the adverse impact of news extended to broader measures of psychological struggling. A similar dynamic did not unfold between the daily amount of physical or virtual contact and subsequent mental health. Findings are consistent with current recommendations to moderate news and media consumption in order to promote mental health.

COVID-related social determinants of substance use disorder among diverse U.S. racial ethnic groups.

OBJECTIVE: Black, Asian, and Hispanic/Latino people are disproportionately impacted by the COVID-19 pandemic and were more likely to experience coronavirus-related racial discrimination. This study examined the association between pandemic-related stressors, including employment and housing disruptions, coronavirus-related victimization distress, and perceptions of pandemic-associated increase in societal racial biases, and substance use disorder (SUD) risk among Asian, Black, Hispanic/Latino, and non-Hispanic White adults in the U.S. METHODS: Data were collected as part of a larger national survey on substance use during the pandemic. Eligible participants for the current study were 1336 adults self-identified as Asian (8.53%), Black (10.55%), Hispanic/Latino (10.93%), and non-Hispanic White (69.99%). Measures included demographic and COVID-19-related employment, housing, and health items, the coronavirus victimization distress scale (CVD), the coronavirus racial bias scale (CRB), and measures of substance use risk. RESULTS: Across racial/ethnic groups, employment disruption distress and housing disruption due to the pandemic were associated with SUD risk. Binary logistic regression analyses controlling for demographic variables indicated CVD was associated with higher odds of tobacco use risk (AOR = 1.36, 95% CI [1.01, 1.81]) and polysubstance use risk (AOR = 1.87, 95% CI [1.14, 3.06]), yet CRB was unrelated to any SUDs. Logistic regressions for each racial/ethnic group found different patterns of relationships between stressors and risk for SUDs. CONCLUSIONS: Results highlight the significance of examining how the current pandemic has exacerbated racial/ethnic systemic inequalities through COVID-19 related victimization. The data also suggest that across all racial/ethnic groups employment and housing disruptions and perceptions of pandemic instigated increases in societal racial bias are risk factors for SUD. The study calls for further empirical research on substance use prevention and intervention practice sensitive to specific needs of diverse populations during the current and future health crises.

COVID-related social determinants of substance use disorder among diverse U.S. racial ethnic groups

Objective Black, Asian, and Latinx people are disproportionately impacted by the COVID-19 pandemic and were more likely to experience coronavirus-related racial discrimination. This study examined the association between pandemic-related stressors, including employment and housing disruptions, coronavirus-related victimization distress, and perceptions of pandemic-associated increase in societal racial biases, and substance use disorder (SUD) risk among Asian, Black, Latinx, and non-Hispanic White adults in the U.S. Methods Data were collected as part of a larger national survey on substance use during the pandemic. Eligible participants for the current study were 1336 adults self-identified as Asian (8.53%), Black (10.55%), Latinx (10.93%), and non-Hispanic White (69.99%). Measures included demographic and COVID-19-related employment, housing, and health items, the coronavirus victimization distress scale (CVD), the coronavirus racial bias scale (CRB), and measures of substance use risk. Results Across race/ethnicity, employment disruption distress and housing disruption due to the pandemic were associated with SUD risk. Binary logistic regression analyses controlling for demographic variables indicated CVD was associated with higher odds of tobacco use risk (AOR = 1.36, 95% CI [1.01, 1.81]) and polysubstance use risk (AOR = 1.87, 95% CI [1.14, 3.06]), yet CRB was unrelated to any SUDs. Logistic regressions for each racial/ethnic group found different patterns of relationships between stressors and risk for SUDs. Conclusions Results highlight the significance of examining how the current pandemic has exacerbated racial/ethnic systemic inequalities through COVID-19 related victimization. The data also suggest that across all racial/ethnic groups employment and housing disruptions and perceptions of pandemic instigated increases in societal racial bias are risk factors for SUD. The study calls for further empirical research on substance use prevention and intervention practice sensitive to specific needs of diverse populations during the current and future health crises.

Daily diary study of loneliness, alcohol, and drug use during the COVID-19 Pandemic.

BACKGROUND: Research conducted during the COVID-19 Pandemic has identified two co-occurring public health concerns: loneliness and substance use. Findings from research conducted prior to the pandemic are inconclusive as to the links between loneliness and substance use. This study aimed to measure associations of loneliness with three different types of substance use during COVID-19: daily number of alcoholic drinks, cannabis use, and non-cannabis drug use. METHOD: Data were obtained between October 2020 and May 2021 from 2,648 US adults (Mage  = 38.76, 65.4% women) diverse with respect to race and ethnicity using online recruitment. Participants completed baseline surveys and daily assessments for 30 days. A daily loneliness measure was recoded into separate within- and between-person predictor variables. Daily outcome measures included the number of alcoholic drinks consumed and dichotomous cannabis and non-cannabis drug use variables. Generalized linear multilevel models (GLMLM) were used to examine within- and between-person associations between loneliness and substance use. RESULTS: The unconditional means model indicated that 59.0% of the variance in the daily number of alcoholic drinks was due to within-person variability. GLMLM analyses revealed that, overall, people drank more on days when they felt a particularly high or particularly low degree of loneliness (positive quadratic effect). There was a negative and significant within-person association between daily loneliness and the likelihood of cannabis use. There was also a positive and significant within-person association between daily loneliness and the likelihood of non-cannabis drug use. CONCLUSIONS: Associations between loneliness and substance use vary with substance type and whether within- or between-person differences are assessed. These findings are relevant to the persistence of substance use disorders and thus of potential clinical importance. Individuals who do not experience severe loneliness at intake but who show daily increases in loneliness above baseline levels are at heightened risk of alcohol and non-cannabis drug use. Future research could profitably examine just-in-time adaptive interventions that assess fluctuations in loneliness to prevent the development or exacerbation of substance use disorders.

Life under stay-at-home orders: a panel study of change in social interaction and emotional wellbeing among older Americans during COVID-19 pandemic.

BACKGROUND: Recent research has shown the mental health consequence of social distancing during the COVID-19 pandemic, but longitudinal data are relatively scarce. It is unclear whether the pattern of isolation and elevated stress seen at the beginning of the pandemic persists over time. This study evaluates change in social interaction over six months and its impact on emotional wellbeing among older adults. METHODS: We drew data from a panel study with six repeated assessments of social interaction and emotional wellbeing conducted monthly May through October 2020. The sample included a total of 380 White, Black and Hispanic participants aged 50 and over, of whom 33% had low income, who residing in fourteen U.S. states with active stay-at-home orders in May 2020. The analysis examined how change in living arrangement, in-person interaction outside the household, quality of relationship with family and friends, and perceived social support affected trajectories of isolation stress, COVID worry and sadness. RESULTS: While their living arrangements (Odds Ratio [OR] = 0.95, 95% Confidence Interval [CI] = 0.87, 1.03) and relationship quality (OR = 0.94, 95% CI = 0.82, 1.01) remained stable, older adults experienced fluctuations in perceived social support (linear Slope b = -1.42, s.e. = 0.16, p < .001, quadratic slope b = 0.50, s.e. = 0.08, p < .001, cubic slope b = -0.04, s.e. = 0.01, p < .001) and increases in in-person conversations outside the household (OR = 1.19, 95% CI = 1.09, 1.29). Living with a spouse/partner stabilized isolation stress (change in linear slope b = 1.16, s.e. = 0.48, p < .05, in quadratic slope b = -0.62, s.e. = 0.26, p < .05, and in cubic slope = 0.09, s.e. = 0.04, p < .05) and COVID worry (change in quadratic slope b = -0.66, s.e. = 0.32, p < .05 and in cubic slope = 0.09, s.e. = 0.04, p < .05) over time. Individuals with better relationship quality with friends had decreased sadness over time (OR = 0.90, 95% CI = 0.82, 0.99). Changes in social support were associated with greater fluctuations in isolation stress and COVID worry. CONCLUSIONS: During the pandemic, social interactions are protective and lack of stability in feeling supported makes older adults vulnerable to stress. Efforts should focus on (re)building and maintaining companionship and support to mitigate the pandemic's negative impact.

Covid-19 and alcohol associated liver disease.

The COVID-19 pandemic is having substantial impacts on the health status of individuals with alcohol use disorder (AUD) and alcohol-associated liver disease (ALD). AUD and ALD have both been impacted throughout the pandemic, with increases in alcohol use during the early stages of the pandemic, reduced access to treatment during the mid-pandemic, and challenges in managing the downstream effects in the post-COVID era. This review will focus on how the COVID-19 pandemic has impacted AUD and ALD epidemiology and access to treatment, and will discuss to address this rising AUD and ALD disease burden.

Women's Substance Use and Mental Health During the COVID-19 Pandemic.

PURPOSE: Women are experiencing greater unemployment and increased stress from childcare responsibilities than men during the COVID-19 pandemic. Women with these experiences may be at particular risk for mental illness and increased substance use during the COVID-19 pandemic. The purpose of the study was to assess women's substance use, mental health, and experiences of COVID-19 pandemic impacts. METHODS: A national online survey was administered to adult women from September to November 2020. The survey included questionnaires assessing mental health, loneliness, intolerance for uncertainty, social support, substance use, and intimate partner violence (IPV). RESULTS: A total of 499 women responded; most were White, college educated, and in their mid-30s. Of the 20.24% who acknowledged at least one IPV problem, 29.7% stated that their IPV problems have gotten worse since the pandemic began, and 16.83% said that they have increased their drug or alcohol use to cope with their relationship problems. Anxiety, perceived daily impact of COVID-19, and lower self-efficacy were significant predictors of COVID-19 anxiety. Those with risky alcohol use had significantly higher anxiety (p = .028) and depression (p = .032) than those with low-risk alcohol use. CONCLUSIONS: Greater anxiety about COVID-19, greater reported changes in daily life due to the pandemic, and high-risk alcohol use are related to greater mental health-related distress among women. For some, IPV has gotten worse during the pandemic and drug or alcohol use is a coping mechanism.

COVID-Related Victimization, Racial Bias and Employment and Housing Disruption Increase Mental Health Risk Among U.S. Asian, Black and Latinx Adults.

Background: The mental health of racial/ethnic minorities in the U.S. has been disproportionately impacted by the COVID-19 pandemic. This study examined the extent to which disruptions in employment and housing, coronavirus-specific forms of victimization and racial bias independently and conjointly contributed to mental health risk among Asian, Black, and Latinx adults in the United States during the pandemic. Methods: This study reports on data from 401 Asian, Black, and Latinx adults (age 18-72) who participated in a larger national online survey conducted from October 2020-June 2021, Measures included financial and health information, housing disruptions and distress in response to employment changes, coronavirus related victimization distress and perceived increases in racial bias, depression and anxiety. Results: Asian participants had significantly higher levels of COVID-related victimization distress and perceived increases in racial bias than Black and Latinx. Young adults (<26 years old) were more vulnerable to depression, anxiety, and coronavirus victimization distress than older respondents. Having at least one COVID-related health risk, distress in response to changes in employment and housing disruptions, pandemic related victimization distress and perceived increases in racial bias were positively and significantly related to depression and anxiety. Structural equation modeling indicated COVID-related increases in racial bias mediated the effect of COVID-19 related victimization distress on depression and anxiety. Conclusions: COVID-19 has created new pathways to mental health disparities among racial/ethnic minorities in the U.S. by exacerbating existing structural and societal inequities linked to race. Findings highlight the necessity of mental health services sensitive to specific challenges in employment and housing and social bias experienced by people of color during the current and future health crises.

Loneliness and Daily Alcohol Consumption During the COVID-19 Pandemic.

AIMS: This pilot study aimed to identify associations of loneliness and daily alcohol consumption among US adults during the Coronavirus Disease-2019 pandemic. METHOD: Participants completed daily assessments for 30 days. RESULTS: Results suggest people who feel lonelier on average drink more alcohol, however, people who feel lonelier than usual drink less. CONCLUSION: Findings highlight the need to disaggregate within- and between-person components of alcohol use.

Bots and Misinformation Spread on Social Media: Implications for COVID-19.

As of March 2021, the SARS-CoV-2 virus has been responsible for over 115 million cases of COVID-19 worldwide, resulting in over 2.5 million deaths. As the virus spread exponentially, so did its media coverage, resulting in a proliferation of conflicting information on social media platforms-a so-called "infodemic." In this viewpoint, we survey past literature investigating the role of automated accounts, or "bots," in spreading such misinformation, drawing connections to the COVID-19 pandemic. We also review strategies used by bots to spread (mis)information and examine the potential origins of bots. We conclude by conducting and presenting a secondary analysis of data sets of known bots in which we find that up to 66% of bots are discussing COVID-19. The proliferation of COVID-19 (mis)information by bots, coupled with human susceptibility to believing and sharing misinformation, may well impact the course of the pandemic.

Alcohol-Associated Liver Disease Before and After COVID-19-An Overview and Call for Ongoing Investigation.

The Coronavirus Disease 2019 (COVID-19) pandemic has exacted a heavy toll on patients with alcohol-associated liver disease (ALD) and alcohol use disorder (AUD). The collective burden of ALD and AUD was large and growing, even before the COVID-19 pandemic. There is accumulating evidence that this pandemic has had a large direct effect on these patients and is likely to produce indirect effects through delays in care, psychological strain, and increased alcohol use. Now a year into the pandemic, it is important that clinicians fully understand the effects of the COVID-19 pandemic on patients with ALD and AUD. To fill existing gaps in knowledge, the scientific community must set research priorities for patients with ALD regarding their risk of COVID-19, prevention/treatment of COVID-19, changes in alcohol use during the pandemic, best use of AUD treatments in the COVID-19 era, and downstream effects of this pandemic on ALD. Conclusion: The COVID-19 pandemic has already inflicted disproportionate harms on patients with ALD, and ongoing, focused research efforts will be critical to better understand the direct and collateral effects of this pandemic on ALD.