States' COVID-19 Mitigation Policies and Psychological Health, Drug Overdose, and Suicide among U.S. Adults

NIH Pandemic-Era Grants

Pandemic Era Grants

2024

Document text

Principal Investigator: Shannon M Monnat
Organization: SYRACUSE UNIVERSITY
Fiscal Year: 2024
Award: $417,609
Funding agency: National Institute on Drug Abuse

The COVID-19 pandemic and the mitigation policies it prompted may have had profound consequences for the
psychological health of U.S. adults, including their risk of dying from drug overdose and suicide. To mitigate the
spread of COVID-19, some U.S. states enacted policies like stay-at-home orders and business closures. To
mitigate adverse economic and health effects, some states enacted policies like eviction moratoria and extended
unemployment benefits. These policies may have affected adults’ psychological health and related mortality
through social isolation, work-family conflict, interpersonal strain, economic wellbeing, employment disruptions,
and more. The overarching objective of this proposal is to rigorously assess how state-level COVID-19
mitigation policies have affected psychological health and related mortality from drug overdose and suicide
among working age and older adults. The project is significant and will have a sustained impact because it: 1)
identifies how states’ mitigation policies affect psychological health and mortality in both the short and longer-
terms, 2) leverages adults’ self-reports of how COVID-19 and mitigation policies affected their lives and
psychological health with county-level administrative data on drug overdose and suicide mortality, and 3)
empirically develops meaningful composite measures of state mitigation policies to assess their impact on
psychological health and mortality. The project is innovative in that it: 1) uses and extends novel survey data
from working-age adults on how the pandemic and its mitigation policies affected their lives, 2) uses recently-
developed methods for analyzing large contextual datasets containing high-dimensional and correlated data and
3) focuses on the impacts of policies on psychological health and related causes of death, specifically drug-
overdoses and suicides, in the short and longer terms. The project will accomplish its objective through three
Specific Aims. Aim 1 identifies how U.S. states’ COVID-19 policies are associated with adult psychological
health. It uses a new, national survey of U.S. adults aged 18-64 (National Wellbeing Survey) conducted in
Feb/Mar 2021 by PI Monnat. Using its self-reported data on how COVID-19 has affected people’s lives, we will
assess: a) how states’ COVID-19 policies predict individuals’ psychological health approximately one year after
COVID-19 began in the U.S., b) how economic, social, and health care conditions help explain the associations;
and c) how the associations vary by age, sex, race/ethnicity, and education. Aim 2 identifies how U.S. states’
COVID-19 policies affected fatal drug overdose and suicide rates at the county level. Using mortality data from
the National Vital Statistics System, we will assess: a) the immediate and lagged effects of states’ COVID-19
policies on county-level fatal drug overdose and suicide rates among adults aged 18 and older, b) how economic,
social, and health care conditions explain these effects, and c) variation by age, sex, and race/ethnicity. Aim 3
collects four new annual waves of the NWS, in close collaboration with the Consortium, to identify longer-term
consequences of states’ COVID-19 policies and individuals’ adaptations on adult psychological health.

Terms: <21+ years old><Adult><Adult Human><Adverse effects><Affect><Age><Bayesian Modeling><Bayesian adaptive designs><Bayesian adaptive models><Bayesian belief network><Bayesian belief updating model><Bayesian framework><Bayesian hierarchical model><Bayesian network model><Bayesian nonparametric models><Bayesian spatial data model><Bayesian spatial image models><Bayesian spatial models><Bayesian statistical models><Bayesian tracking algorithms><Black Populations><Black group><Black individual><Black people><Blacks><Buffers><Businesses><COVID crisis><COVID disease severity><COVID epidemic><COVID pandemic><COVID severity><COVID-19><COVID-19 affected><COVID-19 consequence><COVID-19 crisis><COVID-19 disease severity><COVID-19 effect><COVID-19 epidemic><COVID-19 era><COVID-19 global health crisis><COVID-19 global pandemic><COVID-19 health crisis><COVID-19 impact><COVID-19 impacted><COVID-19 infection><COVID-19 pandemic><COVID-19 period><COVID-19 prevention><COVID-19 public health crisis><COVID-19 severity><COVID-19 virus infection><COVID-19 years><COVID19 disease severity><COVID19 infection><COVID19 severity><CV-19><Cause of Death><Collaborations><Conflict><Conflict (Psychology)><Coronavirus Infectious Disease 2019><County><Data><Data Correlations><Data Reporting><Data Set><Death Rate><Deterioration><Disparities><Disparity><Drugs><Economics><Education><Educational aspects><Employment><Ethnic Origin><Ethnicity><Family><Financial Hardship><Funding><Gender><Geography><Health><Health Care Providers><Health Personnel><Healthcare><Healthcare Providers><Healthcare worker><Individual><Life Cycle><Life Cycle Stages><Living Arrangement><Measures><Medicaid><Medication><Mental Depression><Mental Health><Mental Hygiene><Methods><Natural experiment><Non-Hispanic><Nonhispanic><Not Hispanic or Latino><Outcome><Overdose><Patient Self-Report><Personal Satisfaction><Persons><Pharmaceutical Preparations><Play><Policies><Population><Psychological Health><Race><Races><Reporting><Risk><SARS-CoV-2 disease severity><SARS-CoV-2 epidemic><SARS-CoV-2 global health crisis><SARS-CoV-2 global pandemic><SARS-CoV-2 infection><SARS-CoV-2 pandemic><SARS-CoV-2 severity><SARS-CoV2 infection><SARS-coronavirus-2 epidemic><SARS-coronavirus-2 pandemic><Schools><Self-Report><Severe Acute Respiratory Syndrome CoV 2 epidemic><Severe Acute Respiratory Syndrome CoV 2 pandemic><Severe acute respiratory syndrome coronavirus 2 epidemic><Severe acute respiratory syndrome coronavirus 2 infection><Severe acute respiratory syndrome coronavirus 2 pandemic><Sleep Disorders><Social isolation><Subgroup><Suicide><Survey Instrument><Surveys><System><Unemployment><Variant><Variation><Vital Statistics><Work><access to health care><access to healthcare><accessibility of health care><accessibility to health care><accessibility to healthcare><adulthood><adverse consequence><adverse outcome><age associated difference><age based difference><age dependent difference><age dependent variation><age difference><age group><age related difference><age related variation><age specific difference><aged><ages><base><bases><combat><coronavirus disease 2019><coronavirus disease 2019 consequence><coronavirus disease 2019 crisis><coronavirus disease 2019 disease severity><coronavirus disease 2019 effect><coronavirus disease 2019 epidemic><coronavirus disease 2019 global health crisis><coronavirus disease 2019 global pandemic><coronavirus disease 2019 health crisis><coronavirus disease 2019 impact><coronavirus disease 2019 infection><coronavirus disease 2019 pandemic><coronavirus disease 2019 prevention><coronavirus disease 2019 public health crisis><coronavirus disease 2019 severity><coronavirus disease crisis><coronavirus disease epidemic><coronavirus disease pandemic><coronavirus disease severity><coronavirus disease-19><coronavirus disease-19 global pandemic><coronavirus disease-19 impact><coronavirus disease-19 pandemic><coronavirus disease-19 prevention><coronavirus infectious disease-19><data representation><data representations><depression><design><designing><differ by age><difference across age><difference in age><drug/agent><economic><experience><fatal attempt><fatal suicide><financial adversity><financial burden><financial distress><financial insecurity><financial strain><financial stress><future pandemic><health care><health care access><health care availability><health care personnel><health care service access><health care service availability><health care worker><health provider><health workforce><healthcare access><healthcare accessibility><healthcare availability><healthcare personnel><healthcare service access><healthcare service availability><high dimensionality><infected with COVID-19><infected with COVID19><infected with SARS-CoV-2><infected with SARS-CoV2><infected with coronavirus disease 2019><infected with severe acute respiratory syndrome coronavirus 2><innovate><innovation><innovative><intent to die><jobless><joblessness><large scale data><large scale data sets><large scale datasets><life course><medical personnel><member><mortality><mortality rate><mortality ratio><next pandemic><novel><older adult><older adulthood><out of work><pandemic><pandemic disease><perceived anxiety><prevent COVID-19><prevent coronavirus disease 2019><racial><racial background><racial origin><response><self-reported anxiety><severe acute respiratory syndrome coronavirus 2 disease severity><severe acute respiratory syndrome coronavirus 2 global health crisis><severe acute respiratory syndrome coronavirus 2 global pandemic><severe acute respiratory syndrome coronavirus 2 severity><sex><sleep diseases><sleep dysfunction><sleep illness><sleep problem><social><social relationships><stay-at-home mandate><stay-at-home order><stay-at-home ordinance><stay-at-home policy><substance use><substance using><suicidal mortality><suicide mortality><suicide mortality rate><suicide rate><suicides><treatment provider><trend><unemployed><variation by age><well-being><wellbeing>