Heterogenous Effects of Local Government Spending on Mortality Across Racial Groups Among Working-Age Adults in the U.S.

Melton-Fant, Courtnee

doi:10.1016/j.focus.2023.100085

Cited by 2 publications

(2 citation statements)

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“…The original responses to the depression and nervousness inquiries were moderately correlated (Kendall rank correlation coefficient = 0.59 and 0.58 in Period 1 and Period 2, respectively). For the analysis, we dichotomized the responses into binary indicators: 0 for "some, a little, or none of the time", and 1 for "all or most of the time", aligning with prior research (Kush et al, 2022;Ettman et al, 2023;Botha et al, 2023).…”

Section: Methodsmentioning

confidence: 99%

“…With its broad coverage of COVID-19-related inquiries, which includes mental health assessments, this survey stands as a key resource for the investigation of mental health trajectories across the world during the pandemic. In the context of the United States, researchers have analyzed both county-level and individuallevel data to assess the factors associated with anxiety, depression, and isolation during the pandemic (Lupton-Smith et al, 2022;Ettman et al, 2023;Kobayashi et al, 2023). Additionally, Kush et al (2022) observed a higher prevalence of anxiety symptoms among teachers compared to other professions.…”

Section: Introductionmentioning

confidence: 99%

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Mental Health Trends in India from 2020 to 2022: Association with Financial Stress, Food Insecurity, and COVID-19-related Illness Concerns

Yang,

Sun,

Zimmermann

et al. 2024

Preprint

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This study examines the impact of pandemic-related worries on mental health in the Indian general adult population from 2020 to 2022. Using data from the Global COVID-19 Trends and Impact Survey (N = 2,576,174 respondents aged >= 18 years in India; an average weekly sample size of around 25,000), it explores the associations between worry variables (namely financial stress, food insecurity, and COVID-19-related health worries) and self-reported symptoms of depression and nervousness. The statistical analysis was conducted using complete cases only (N = 747,996). Our analysis used survey-weighted models, focusing on the three pandemic-related worries as the exposures, while also adjusting for various other covariates, including demographics and calendar time. The study finds significant associations between these worries and mental health outcomes, with financial stress being the most significant factor affecting both depression (adjusted odds ratio: 2.36, 95% confidence interval: [2.27, 2.46]) and nervousness (adjusted odds ratio: 1.91, 95% confidence interval: [1.81, 2.01]) during the first phase of the study period (June 27, 2020, to May 19, 2021). The fully adjusted models also identify additional factors related to mental health, including age, gender, residential status, geographical region, occupation, and education. Moreover, the research highlights that males and urban residents had higher odds ratios for self-reported mental health problems regarding the worry variables than females and rural residents, respectively. Furthermore, the study reveals a rise in the prevalence of self-reported depression and nervousness and their association with COVID-19-related health worries during the lethal second wave of the pandemic in May 2021 compared to the onset of the pandemic. This study shows that social media platforms like Facebook can deploy surveys to a large number of participants globally and can be useful tools in capturing mental health trends and uncovering associations during a public health crisis.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Mental Health Trends in India from 2020 to 2022: Association with Financial Stress, Food Insecurity, and COVID-19-related Illness Concerns

Yang,

Sun,

Zimmermann

et al. 2024

Preprint

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Contemporary Public Health Finance: Varied Definitions, Patterns, and Implications

Orr,

Leider,

Hogg-Graham

et al. 2024

Annual Review of Public Health

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The financing of public health systems and services relies on a complex and fragmented web of partners and funding priorities. Both underfunding and “dys-funding” contribute to preventable mortality, increases in disease frequency and severity, and hindered social and economic growth. These issues were both illuminated and magnified by the COVID-19 pandemic and associated responses. Further complicating issues is the difficulty in constructing adequate estimates of current public health resources and necessary resources. Each of these challenges inhibits the delivery of necessary services, leads to inequitable access and resourcing, contributes to resource volatility, and presents other deleterious outcomes. However, actions may be taken to defragment complex funding paradigms toward more flexible spending, to modernize and standardize data systems, and to assure equitable and sustainable public health investments. Expected final online publication date for the Annual Review of Public Health, Volume 45 is April 2024. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

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Heterogenous Effects of Local Government Spending on Mortality Across Racial Groups Among Working-Age Adults in the U.S.

Cited by 2 publications

References 44 publications

Mental Health Trends in India from 2020 to 2022: Association with Financial Stress, Food Insecurity, and COVID-19-related Illness Concerns

Mental Health Trends in India from 2020 to 2022: Association with Financial Stress, Food Insecurity, and COVID-19-related Illness Concerns

Contemporary Public Health Finance: Varied Definitions, Patterns, and Implications

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