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Perlis RH, Lunz Trujillo K, Safarpour A, Quintana A, Simonson MD, Perlis J, Santillana M, Ognyanova K, Baum MA, Druckman JN, Lazer D. Community Mobility and Depressive Symptoms During the COVID-19 Pandemic in the United States. JAMA Netw Open 2023; 6:e2334945. [PMID: 37755830 PMCID: PMC10534266 DOI: 10.1001/jamanetworkopen.2023.34945] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Accepted: 08/09/2023] [Indexed: 09/28/2023] Open
Abstract
Importance Marked elevation in levels of depressive symptoms compared with historical norms have been described during the COVID-19 pandemic, and understanding the extent to which these are associated with diminished in-person social interaction could inform public health planning for future pandemics or other disasters. Objective To describe the association between living in a US county with diminished mobility during the COVID-19 pandemic and self-reported depressive symptoms, while accounting for potential local and state-level confounding factors. Design, Setting, and Participants This survey study used 18 waves of a nonprobability internet survey conducted in the United States between May 2020 and April 2022. Participants included respondents who were 18 years and older and lived in 1 of the 50 US states or Washington DC. Main Outcome and Measure Depressive symptoms measured by the Patient Health Questionnaire-9 (PHQ-9); county-level community mobility estimates from mobile apps; COVID-19 policies at the US state level from the Oxford stringency index. Results The 192 271 survey respondents had a mean (SD) of age 43.1 (16.5) years, and 768 (0.4%) were American Indian or Alaska Native individuals, 11 448 (6.0%) were Asian individuals, 20 277 (10.5%) were Black individuals, 15 036 (7.8%) were Hispanic individuals, 1975 (1.0%) were Pacific Islander individuals, 138 702 (72.1%) were White individuals, and 4065 (2.1%) were individuals of another race. Additionally, 126 381 respondents (65.7%) identified as female and 65 890 (34.3%) as male. Mean (SD) depression severity by PHQ-9 was 7.2 (6.8). In a mixed-effects linear regression model, the mean county-level proportion of individuals not leaving home was associated with a greater level of depression symptoms (β, 2.58; 95% CI, 1.57-3.58) after adjustment for individual sociodemographic features. Results were similar after the inclusion in regression models of local COVID-19 activity, weather, and county-level economic features, and persisted after widespread availability of COVID-19 vaccination. They were attenuated by the inclusion of state-level pandemic restrictions. Two restrictions, mandatory mask-wearing in public (β, 0.23; 95% CI, 0.15-0.30) and policies cancelling public events (β, 0.37; 95% CI, 0.22-0.51), demonstrated modest independent associations with depressive symptom severity. Conclusions and Relevance In this study, depressive symptoms were greater in locales and times with diminished community mobility. Strategies to understand the potential public health consequences of pandemic responses are needed.
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Affiliation(s)
- Roy H. Perlis
- Massachusetts General Hospital, Boston
- Harvard Medical School, Boston, Massachusetts
| | - Kristin Lunz Trujillo
- Northeastern University, Boston, Massachusetts
- Harvard University, Cambridge, Massachusetts
| | - Alauna Safarpour
- Northeastern University, Boston, Massachusetts
- Harvard University, Cambridge, Massachusetts
| | - Alexi Quintana
- Northeastern University, Boston, Massachusetts
- Harvard University, Cambridge, Massachusetts
| | | | | | | | | | | | | | - David Lazer
- Northeastern University, Boston, Massachusetts
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Green J, Druckman JN, Baum MA, Ognyanova K, Simonson MD, Perlis RH, Lazer D. Media use and vaccine resistance. PNAS Nexus 2023; 2:pgad146. [PMID: 37188276 PMCID: PMC10178922 DOI: 10.1093/pnasnexus/pgad146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Accepted: 04/13/2023] [Indexed: 05/17/2023]
Abstract
Public health requires collective action-the public best addresses health crises when individuals engage in prosocial behaviors. Failure to do so can have dire societal and economic consequences. This was made clear by the disjointed, politicized response to COVID-19 in the United States. Perhaps no aspect of the pandemic exemplified this challenge more than the sizeable percentage of individuals who delayed or refused vaccination. While scholars, practitioners, and the government devised a range of communication strategies to persuade people to get vaccinated, much less attention has been paid to where the unvaccinated could be reached. We address this question using multiple waves of a large national survey as well as various secondary data sets. We find that the vaccine resistant seems to predictably obtain information from conservative media outlets (e.g. Fox News) while the vaccinated congregate around more liberal outlets (e.g. MSNBC). We also find consistent evidence that vaccine-resistant individuals often obtain COVID-19 information from various social media, most notably Facebook, rather than traditional media sources. Importantly, such individuals tend to exhibit low institutional trust. While our results do not suggest a failure of sites such as Facebook's institutional COVID-19 efforts, as the counterfactual of no efforts is unknown, they do highlight an opportunity to reach those who are less likely to take vital actions in the service of public health.
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Affiliation(s)
- Jon Green
- Network Science Institute, Northeastern University, Boston, MA 02148, United States
- Shorenstein Center on Media, Politics and Public Policy, Harvard Kennedy School, Cambridge, MA 02138, United States
| | - James N Druckman
- Department of Political Science, Northwestern University, Evanston, IL 60208, United States
| | - Matthew A Baum
- Shorenstein Center on Media, Politics and Public Policy, Harvard Kennedy School, Cambridge, MA 02138, United States
| | - Katherine Ognyanova
- School of Communication and Information, Rutgers University, Piscataway, NJ 08854, United States
| | - Matthew D Simonson
- Department of Political Science, University of Pennsylvania, Philadelphia, PA 19104, United States
| | - Roy H Perlis
- Department of Psychiatry, Harvard Medical School, Boston, MA 02114, United States
| | - David Lazer
- Network Science Institute, Northeastern University, Boston, MA 02148, United States
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Perlis RH, Santillana M, Ognyanova K, Safarpour A, Lunz Trujillo K, Simonson MD, Green J, Quintana A, Druckman J, Baum MA, Lazer D. Prevalence and Correlates of Long COVID Symptoms Among US Adults. JAMA Netw Open 2022; 5:e2238804. [PMID: 36301542 PMCID: PMC9614581 DOI: 10.1001/jamanetworkopen.2022.38804] [Citation(s) in RCA: 126] [Impact Index Per Article: 63.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
IMPORTANCE Persistence of COVID-19 symptoms beyond 2 months, or long COVID, is increasingly recognized as a common sequela of acute infection. OBJECTIVES To estimate the prevalence of and sociodemographic factors associated with long COVID and to identify whether the predominant variant at the time of infection and prior vaccination status are associated with differential risk. DESIGN, SETTING, AND PARTICIPANTS This cross-sectional study comprised 8 waves of a nonprobability internet survey conducted between February 5, 2021, and July 6, 2022, among individuals aged 18 years or older, inclusive of all 50 states and the District of Columbia. MAIN OUTCOMES AND MEASURES Long COVID, defined as reporting continued COVID-19 symptoms beyond 2 months after the initial month of symptoms, among individuals with self-reported positive results of a polymerase chain reaction test or antigen test. RESULTS The 16 091 survey respondents reporting test-confirmed COVID-19 illness at least 2 months prior had a mean age of 40.5 (15.2) years; 10 075 (62.6%) were women, and 6016 (37.4%) were men; 817 (5.1%) were Asian, 1826 (11.3%) were Black, 1546 (9.6%) were Hispanic, and 11 425 (71.0%) were White. From this cohort, 2359 individuals (14.7%) reported continued COVID-19 symptoms more than 2 months after acute illness. Reweighted to reflect national sociodemographic distributions, these individuals represented 13.9% of those who had tested positive for COVID-19, or 1.7% of US adults. In logistic regression models, older age per decade above 40 years (adjusted odds ratio [OR], 1.15; 95% CI, 1.12-1.19) and female gender (adjusted OR, 1.91; 95% CI, 1.73-2.13) were associated with greater risk of persistence of long COVID; individuals with a graduate education vs high school or less (adjusted OR, 0.67; 95% CI, 0.56-0.79) and urban vs rural residence (adjusted OR, 0.74; 95% CI, 0.64-0.86) were less likely to report persistence of long COVID. Compared with ancestral COVID-19, infection during periods when the Epsilon variant (OR, 0.81; 95% CI, 0.69-0.95) or the Omicron variant (OR, 0.77; 95% CI, 0.64-0.92) predominated in the US was associated with diminished likelihood of long COVID. Completion of the primary vaccine series prior to acute illness was associated with diminished risk for long COVID (OR, 0.72; 95% CI, 0.60-0.86). CONCLUSIONS AND RELEVANCE This study suggests that long COVID is prevalent and associated with female gender and older age, while risk may be diminished by completion of primary vaccination series prior to infection.
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Affiliation(s)
- Roy H. Perlis
- Department of Psychiatry, Massachusetts General Hospital, Boston
- Department of Psychiatry, Harvard Medical School, Boston, Massachusetts
| | - Mauricio Santillana
- Department of Political Science, Northeastern University, Boston, Massachusetts
| | - Katherine Ognyanova
- Department of Communication, School of Communication and Information, Rutgers University, New Brunswick, New Jersey
| | - Alauna Safarpour
- Department of Political Science, Northeastern University, Boston, Massachusetts
- John F. Kennedy School of Government and Department of Government, Harvard University, Cambridge, Massachusetts
| | - Kristin Lunz Trujillo
- Department of Political Science, Northeastern University, Boston, Massachusetts
- John F. Kennedy School of Government and Department of Government, Harvard University, Cambridge, Massachusetts
| | | | - Jon Green
- Department of Political Science, Northeastern University, Boston, Massachusetts
| | - Alexi Quintana
- Department of Political Science, Northeastern University, Boston, Massachusetts
| | - James Druckman
- Department of Political Science, Northwestern University, Evanston, Illinois
| | - Matthew A. Baum
- John F. Kennedy School of Government and Department of Government, Harvard University, Cambridge, Massachusetts
| | - David Lazer
- Department of Political Science, Northeastern University, Boston, Massachusetts
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Perlis RH, Simonson MD, Green J, Lin J, Safarpour A, Lunz Trujillo K, Quintana A, Chwe H, Della Volpe J, Ognyanova K, Santillana M, Druckman J, Lazer D, Baum MA. Prevalence of Firearm Ownership Among Individuals With Major Depressive Symptoms. JAMA Netw Open 2022; 5:e223245. [PMID: 35311961 PMCID: PMC8938748 DOI: 10.1001/jamanetworkopen.2022.3245] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
IMPORTANCE Both major depression and firearm ownership are associated with an increased risk for death by suicide in the United States, but the extent of overlap among these major risk factors is not well characterized. OBJECTIVE To assess the prevalence of current and planned firearm ownership among individuals with depression. DESIGN, SETTING, AND PARTICIPANTS Cross-sectional survey study using data pooled from 2 waves of a 50-state nonprobability internet survey conducted between May and July 7, 2021. Internet survey respondents were 18 years of age or older and were sampled from all 50 US states and the District of Columbia. MAIN OUTCOMES AND MEASURES Self-reported firearm ownership; depressive symptoms as measured by the 9-item Patient Health Questionnaire. RESULTS Of 24 770 survey respondents (64.6% women and 35.4% men; 5.0% Asian, 10.8% Black, 7.5% Hispanic, and 74.0% White; mean [SD] age 45.8 [17.5]), 6929 (28.0%) reported moderate or greater depressive symptoms; this group had mean (SD) age of 38.18 (15.19) years, 4587 were female (66.2%), and 406 were Asian (5.9%), 725 were Black (10.5%), 652 were Hispanic (6.8%), and 4902 were White (70.7%). Of those with depression, 31.3% reported firearm ownership (n = 2167), of whom 35.9% (n = 777) reported purchasing a firearm within the past year. In regression models, the presence of moderate or greater depressive symptoms was not significantly associated with firearm ownership (adjusted odds ratio [OR], 1.07; 95% CI, 0.98-1.17) but was associated with greater likelihood of a first-time firearm purchase during the COVID-19 pandemic (adjusted OR, 1.77; 95% CI, 1.56-2.02) and greater likelihood of considering a future firearm purchase (adjusted OR, 1.53; 95% CI, 1.23-1.90). CONCLUSIONS AND RELEVANCE In this study, current and planned firearm ownership was common among individuals with major depressive symptoms, suggesting a public health opportunity to address this conjunction of suicide risk factors.
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Affiliation(s)
- Roy H. Perlis
- Department of Psychiatry and Center for Quantitative Health, Massachusetts General Hospital, Boston
- Department of Psychiatry, Harvard Medical School, Boston, Massachusetts
| | - Matthew D. Simonson
- Network Science Institute and Institute for Qualitative Social Science, Northeastern University, Boston, Massachusetts
- Department of Political Science, University of Pennsylvania, Philadelphia
| | - Jon Green
- Network Science Institute and Institute for Qualitative Social Science, Northeastern University, Boston, Massachusetts
| | - Jennifer Lin
- Department of Political Science, Northwestern University, Evanston, Illinois
| | - Alauna Safarpour
- Network Science Institute and Institute for Qualitative Social Science, Northeastern University, Boston, Massachusetts
- Harvard Kennedy School of Government, Cambridge, Massachusetts
| | - Kristin Lunz Trujillo
- Network Science Institute and Institute for Qualitative Social Science, Northeastern University, Boston, Massachusetts
- Harvard Kennedy School of Government, Cambridge, Massachusetts
| | - Alexi Quintana
- Network Science Institute and Institute for Qualitative Social Science, Northeastern University, Boston, Massachusetts
| | - Hanyu Chwe
- Network Science Institute and Institute for Qualitative Social Science, Northeastern University, Boston, Massachusetts
| | | | - Katherine Ognyanova
- School of Communication and Information, Rutgers University, New Brunswick, New Jersey
| | - Mauricio Santillana
- Department of Pediatrics, Harvard Medical School, Cambridge, Massachusetts
- Department of Epidemiology, T.H. Chan School of Public Health, Harvard University, Cambridge, Massachusetts
- Computational Health Informatics Program, Boston Children’s Hospital, Boston, Massachusetts
| | - James Druckman
- Department of Political Science, Northwestern University, Evanston, Illinois
| | - David Lazer
- Network Science Institute and Institute for Qualitative Social Science, Northeastern University, Boston, Massachusetts
| | - Matthew A. Baum
- Harvard Kennedy School of Government, Cambridge, Massachusetts
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Perlis RH, Ognyanova K, Quintana A, Green J, Santillana M, Lin J, Druckman J, Lazer D, Simonson MD, Baum MA, Chwe H. Gender-specificity of resilience in major depressive disorder. Depress Anxiety 2021; 38:1026-1033. [PMID: 34370885 PMCID: PMC9544406 DOI: 10.1002/da.23203] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Revised: 07/02/2021] [Accepted: 07/12/2021] [Indexed: 11/11/2022] Open
Abstract
INTRODUCTION The major stressors associated with the COVID-19 pandemic provide an opportunity to understand the extent to which protective factors against depression may exhibit gender-specificity. METHOD This study examined responses from multiple waves of a 50 states non-probability internet survey conducted between May 2020 and January 2021. Participants completed the PHQ-9 as a measure of depression, as well as items characterizing social supports. We used logistic regression models with population reweighting to examine association between absence of even mild depressive symptoms and sociodemographic features and social supports, with interaction terms and stratification used to investigate sex-specificity. RESULTS Among 73,917 survey respondents, 31,199 (42.2%) reported absence of mild or greater depression-11,011/23,682 males (46.5%) and 20,188/50,235 (40.2%) females. In a regression model, features associated with greater likelihood of depression-resistance included at least weekly attendance of religious services (odds ratio [OR]: 1.10, 95% confidence interval [CI]: 1.04-1.16) and greater trust in others (OR: 1.04 for a 2-unit increase, 95% CI: 1.02-1.06), along with level of social support measured as number of social ties available who could provide care (OR: 1.05, 95% CI: 1.02-1.07), talk to them (OR: 1.10, 95% CI: 1.07-1.12), and help with employment (OR: 1.06, 95% CI: 1.04-1.08). The first two features showed significant interaction with gender (p < .0001), with markedly greater protective effects among women. CONCLUSION Aspects of social support are associated with diminished risk of major depressive symptoms, with greater effects of religious service attendance and trust in others observed among women than men.
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Affiliation(s)
- Roy H. Perlis
- Center for Quantitative HealthMassachusetts General HospitalBostonMassachusettsUSA
- Department of PsychiatryHarvard Medical SchoolBostonMassachusettsUSA
| | | | - Alexi Quintana
- Network Science InstituteNortheastern UniversityBostonMassachusettsUSA
| | - Jon Green
- Network Science InstituteNortheastern UniversityBostonMassachusettsUSA
| | - Mauricio Santillana
- Computational Health Informatics ProgramBoston Children's HospitalBostonMassachusettsUSA
- Department of PediatricsHarvard Medical SchoolBostonMassachusettsUSA
- Department of EpidemiologHarvard T.H. Chan School of Public HealthBostonMassachusettsUSA
| | - Jennifer Lin
- Department of Political ScienceNorthwestern UniversityEvanstonIllinoisUSA
| | - James Druckman
- Department of Political Science and Institute for Policy ResearchNorthwestern UniversityEvanstonIllinoisUSA
| | - David Lazer
- Network Science InstituteNortheastern UniversityBostonMassachusettsUSA
| | | | - Matthew A. Baum
- John F. Kennedy School of GovernmentHarvard UniversityCambridgeMassachusettsUSA
| | - Hanyu Chwe
- Network Science InstituteNortheastern UniversityBostonMassachusettsUSA
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