The association of COVID-19 vaccine availability with mental health among adults in the United States

During the COVID-19 pandemic, an increase in poor mental health among Asian Indians was observed in the United States. However, the leading predictors of poor mental health during the COVID-19 pandemic in Asian Indians remained unknown. A cross-sectional online survey was administered to self-identified Asian Indians aged 18 and older (N = 289). Survey collected information on demographic and socio-economic characteristics and the COVID-19 burden. Two novel machine learning techniques-eXtreme Gradient Boosting and Shapley Additive exPlanations (SHAP) were used to identify the leading predictors and explain their associations with poor mental health. A majority of the study participants were female (65.1%), below 50 years of age (73.3%), and had income ≥ $75,000 (81.0%). The six leading predictors of poor mental health among Asian Indians were sleep disturbance, age, general health, income, wearing a mask, and self-reported discrimination. SHAP plots indicated that higher age, wearing a mask, and maintaining social distancing all the time were negatively associated with poor mental health while having sleep disturbance and imputed income levels were positively associated with poor mental health. The model performance metrics indicated high accuracy (0.77), precision (0.78), F1 score (0.77), recall (0.77), and AUROC (0.87). Nearly one in two adults reported poor mental health, and one in five reported sleep disturbance. Findings from our study suggest a paradoxical relationship between income and poor mental health; further studies are needed to confirm our study findings. Sleep disturbance and perceived discrimination can be targeted through tailored intervention to reduce the risk of poor mental health in Asian Indians.

show abstract

Leading Predictors of COVID-19-Related Poor Mental Health in Adult Asian Indians: An Application of Extreme Gradient Boosting and Shapley Additive Explanations

Ikram

Shaikh

Vishwanatha

et al. 2022

IJERPH

View full text Add to dashboard Cite

show abstract

Stress Due to Inflation and Its Association with Anxiety and Depression Among Working-Age Adults in the United States

Pathak,

Mitra,

Pinnamraju

et al. 2024

IJERPH

View full text Add to dashboard Cite

Inflation generates stress, which may lead to high rates of anxiety and depression. Given the recent surge and subsequent decline in the inflation rate in the United States, the prevalence of stress due to inflation may vary, as well as its relationship with anxiety and depression. Therefore, we investigated the prevalence of stress due to inflation and its association with anxiety and depression over time among working-age adults in the United States. We conducted a repeated cross-sectional analysis using Household Pulse Survey (HPS) data for the following weeks: Week 50 (5–17 October 2022) and Week 57 (26 April–8 May 2023). The HPS includes questions about individuals’ stress levels due to price increases in the past two months. We used logistic regressions to examine the association of stress (moderate or high stress versus little or no stress) due to inflation with depression and anxiety among working-age adults controlling for several factors, including demographic factors and social determinants of health. From October 2022 to April–May 2023, the prevalence of stress due to inflation affected more than three quarters of the population (77.7% and 78.7%, respectively). In logistic regressions, we found a significant positive association of stress due to inflation with depression (adjusted odds ratio (AOR) [95% CI] = 2.22 [1.92, 2.57]) and anxiety (AOR [95% CI] = 2.50 [2.18, 2.86]). Despite a decline in the prevalence of both depression and anxiety by three percentage points over the study period, the associations between stress, due to inflation on the one hand, and anxiety and depression, on the other, persisted over time. Stress due to inflation affects more than three-quarters of Americans, and is significantly associated with depression and anxiety. Stress due to inflation is a significant and persistent public health issue.

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

The association of COVID-19 vaccine availability with mental health among adults in the United States

Cited by 2 publications

References 31 publications

Leading Predictors of COVID-19-Related Poor Mental Health in Adult Asian Indians: An Application of Extreme Gradient Boosting and Shapley Additive Explanations

Leading Predictors of COVID-19-Related Poor Mental Health in Adult Asian Indians: An Application of Extreme Gradient Boosting and Shapley Additive Explanations

Stress Due to Inflation and Its Association with Anxiety and Depression Among Working-Age Adults in the United States

Contact Info

Product

Resources

About