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Figure 1.  Theoretical Model of Hypothesized Associations Between Prestorm Factors, Storm Exposures, Posthurricane Psychological Outcomes, and Functional Impairment
Theoretical Model of Hypothesized Associations Between Prestorm Factors, Storm Exposures, Posthurricane Psychological Outcomes, and Functional Impairment
Figure 2.  Direct and Indirect Associations Between Prestorm Factors, Storm Exposures, Posthurricane Posttraumatic Stress, and Functional Impairment
Direct and Indirect Associations Between Prestorm Factors, Storm Exposures, Posthurricane Posttraumatic Stress, and Functional Impairment

Solid lines represent direct associations and dashed lines, indirect associations.

aP < .05.

bP < .01.

cP < .001.

Table 1.  Path Model of Factors Associated With PTSS After Hurricanes Irma and Michael and Functional Impairment 1 Year After Hurricane Michaela
Path Model of Factors Associated With PTSS After Hurricanes Irma and Michael and Functional Impairment 1 Year After Hurricane Michaela
Table 2.  Path Model of Factors Associated With Generalized Worries After Hurricanes Irma and Michael and Functional Impairment After Hurricane Michaela
Path Model of Factors Associated With Generalized Worries After Hurricanes Irma and Michael and Functional Impairment After Hurricane Michaela
Table 3.  Path Model of Factors Associated With Global Distress After Hurricanes Irma and Michael and Functional Impairment After Hurricane Michaela
Path Model of Factors Associated With Global Distress After Hurricanes Irma and Michael and Functional Impairment After Hurricane Michaela
1.
Feng  K, Lin  N.  A reconstruction of Florida traffic flow during Hurricane Irma (2017).  arXiv. Preprint posted online July 30, 2018. https://arxiv.org/abs/1807.11177
2.
D’Andrea  JM.  A brief parametric analysis of catastrophic or disastrous hurricanes that have hit the Florida Keys between 1900 and 2000.   Am J Comput Math. 2018;8(1):1-6. doi:10.4236/ajcm.2018.81001 Google ScholarCrossref
3.
Office for Coastal Management, National Oceanic and Atmospheric Association. Hurricane costs. 2019. Accessed December 2, 2019. https://coast.noaa.gov/states/fast-facts/hurricane-costs.html
4.
Beven  JL  II, Berg  R, Hagen  A.  National Hurricane Center Tropical Cyclone Report: Hurricane Michael (AL142018). National Weather Service; 2019:111.
5.
Sellnow-Richmond  DD, Sellnow  TL. The consequences of risk amplification in the evolution of warning messages during slow-moving crises. The Handbook of Applied Communication Research. Vol. 1. Wiley; 2020:443-456.
6.
Trenberth  KE, Cheng  L, Jacobs  P, Zhang  Y, Fasullo  J.  Hurricane Harvey links to ocean heat content and climate change adaptation.   Earth’s Future. 2018;6(5):730-744. doi:10.1029/2018EF000825 Google ScholarCrossref
7.
Kessler  RC, Galea  S, Gruber  MJ, Sampson  NA, Ursano  RJ, Wessely  S.  Trends in mental illness and suicidality after Hurricane Katrina.   Mol Psychiatry. 2008;13(4):374-384. doi:10.1038/sj.mp.4002119 PubMedGoogle ScholarCrossref
8.
Wang  Z, Wu  X, Dai  W,  et al.  The prevalence of posttraumatic stress disorder among survivors after a typhoon or hurricane: a systematic review and meta-analysis.   Disaster Med Public Health Prep. 2019;13(5-6):1065-1073. doi:10.1017/dmp.2019.26 PubMedGoogle ScholarCrossref
9.
Thompson  RR, Holman  EA, Silver  RC.  Media coverage, forecasted posttraumatic stress symptoms, and psychological responses before and after an approaching hurricane.   JAMA Netw Open. 2019;2(1):e186228. doi:10.1001/jamanetworkopen.2018.6228 PubMedGoogle ScholarCrossref
10.
Thompson  RR, Garfin  DR, Silver  RC.  Evacuation from natural disasters: a systematic review of the literature.   Risk Anal. 2017;37(4):812-839. doi:10.1111/risa.12654 PubMedGoogle ScholarCrossref
11.
Kessler  RC, Galea  S, Jones  RT, Parker  HA; Hurricane Katrina Community Advisory Group.  Mental illness and suicidality after Hurricane Katrina.   Bull World Health Organ. 2006;84(12):930-939. doi:10.2471/BLT.06.033019 PubMedGoogle ScholarCrossref
12.
Karaye  IM, Ross  AD, Perez-Patron  M, Thompson  C, Taylor  N, Horney  JA.  Factors associated with self-reported mental health of residents exposed to Hurricane Harvey.   Prog Disaster Sci. 2019;2:100016. doi:10.1016/j.pdisas.2019.100016 Google ScholarCrossref
13.
Galea  S, Brewin  CR, Gruber  M,  et al.  Exposure to hurricane-related stressors and mental illness after Hurricane Katrina.   Arch Gen Psychiatry. 2007;64(12):1427-1434. doi:10.1001/archpsyc.64.12.1427 PubMedGoogle ScholarCrossref
14.
McLaughlin  KA, Berglund  P, Gruber  MJ, Kessler  RC, Sampson  NA, Zaslavsky  AM.  Recovery from PTSD following Hurricane Katrina.   Depress Anxiety. 2011;28(6):439-446. doi:10.1002/da.20790 PubMedGoogle ScholarCrossref
15.
Cherry  KE, Lyon  BA, Sampson  L, Galea  S, Nezat  PF, Marks  LD.  Prior hurricane and other lifetime trauma predict coping style in older commercial fishers after the BP Deepwater Horizon oil spill.   J Appl Biobehav Res. 2017;22(2):e12058. doi:10.1111/jabr.12058 Google ScholarCrossref
16.
Breslau  N, Peterson  EL, Schultz  LR.  A second look at prior trauma and the posttraumatic stress disorder effects of subsequent trauma: a prospective epidemiological study.   Arch Gen Psychiatry. 2008;65(4):431-437. doi:10.1001/archpsyc.65.4.431 PubMedGoogle ScholarCrossref
17.
Reifels  L, Spittal  MJ, Dückers  MLA, Mills  K, Pirkis  J.  Suicidality risk and (repeat) disaster exposure: findings from a nationally representative population survey.   Psychiatry. 2018;81(2):158-172. doi:10.1080/00332747.2017.1385049 PubMedGoogle ScholarCrossref
18.
Reifels  L, Mills  K, Dückers  MLA, O’Donnell  ML.  Psychiatric epidemiology and disaster exposure in Australia.   Epidemiol Psychiatr Sci. 2019;28(3):310-320. doi:10.1017/S2045796017000531 PubMedGoogle ScholarCrossref
19.
Acierno  R, Ruggiero  KJ, Galea  S,  et al.  Psychological sequelae resulting from the 2004 Florida hurricanes: implications for postdisaster intervention.   Am J Public Health. 2007;97(suppl 1):S103-S108. doi:10.2105/AJPH.2006.087007 PubMedGoogle ScholarCrossref
20.
Hall  BJ, Xiong  YX, Yip  PSY,  et al.  The association between disaster exposure and media use on post-traumatic stress disorder following Typhoon Hato in Macao, China.   Eur J Psychotraumatol. 2019;10(1):1558709. doi:10.1080/20008198.2018.1558709 PubMedGoogle ScholarCrossref
21.
Goodwin  R, Palgi  Y, Hamama-Raz  Y, Ben-Ezra  M.  In the eye of the storm or the bullseye of the media: social media use during Hurricane Sandy as a predictor of post-traumatic stress.   J Psychiatr Res. 2013;47(8):1099-1100. doi:10.1016/j.jpsychires.2013.04.006 PubMedGoogle ScholarCrossref
22.
Garfin  DR, Holman  EA, Silver  RC.  Cumulative exposure to prior collective trauma and acute stress responses to the Boston Marathon bombings.   Psychol Sci. 2015;26(6):675-683. doi:10.1177/0956797614561043 PubMedGoogle ScholarCrossref
23.
Seery  MD, Holman  EA, Silver  RC.  Whatever does not kill us: cumulative lifetime adversity, vulnerability, and resilience.   J Pers Soc Psychol. 2010;99(6):1025-1041. doi:10.1037/a0021344 PubMedGoogle ScholarCrossref
24.
Silver  RC, Holman  EA, Garfin  DR.  Coping with cascading collective traumas in the United States.   Nat Hum Behav. 2021;5(1):4-6. doi:10.1038/s41562-020-00981-x PubMedGoogle ScholarCrossref
25.
Garfin  DR, Silver  RC, Ugalde  FJ, Linn  H, Inostroza  M.  Exposure to rapid succession disasters: a study of residents at the epicenter of the Chilean Bío Bío earthquake.   J Abnorm Psychol. 2014;123(3):545-556. doi:10.1037/a0037374 PubMedGoogle ScholarCrossref
26.
Callegaro  M, DiSogra  C.  Computing response metrics for online panels.   Public Opin Q. 2008;72(5):1008-1032. doi:10.1093/poq/nfn065 Google ScholarCrossref
27.
American Association for Public Opinion Research.  Standard Definitions: Final Dispositions of Case Codes and Outcome Rates for Surveys. 9th ed. AAPOR; 2016.
28.
von Elm  E, Altman  DG, Egger  M, Pocock  SJ, Gøtzsche  PC, Vandenbroucke  JP; STROBE Initiative.  The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies.   Lancet. 2007;370(9596):1453-1457. doi:10.1016/S0140-6736(07)61602-X PubMedGoogle ScholarCrossref
29.
US Dept of Health and Human Services.  National Center for Health Statistics: National Health Interview Survey Questionnaire 2000. US Dept of Health and Human Services; 2001.
30.
Baker  LC, Bundorf  MK, Singer  S, Wagner  TH.  Validity of the Survey of Health and Internet and Knowledge Network’s Panel and Sampling. Stanford University; 2003.
31.
Andridge  RR, Little  RJ.  A review of Hot Deck Imputation for survey non-response.   Int Stat Rev. 2010;78(1):40-64. doi:10.1111/j.1751-5823.2010.00103.x PubMedGoogle ScholarCrossref
32.
Cox  BG.  The weighted sequential hot deck imputation procedure.   Proc Am Stat Assoc Sect Surv Res Methods. 1980;(August):721-726.Google Scholar
33.
Garfin  DR, Holman  EA, Silver  RC.  Exposure to prior negative life events and responses to the Boston Marathon bombings.   Psychol Trauma. 2020;12(3):320-329. doi:10.1037/tra0000486 PubMedGoogle ScholarCrossref
34.
Calhoun  PS, McDonald  SD, Guerra  VS, Eggleston  AM, Beckham  JC, Straits-Troster  K; VA Mid-Atlantic MIRECC OEF/OIF Registry Workgroup.  Clinical utility of the Primary Care—PTSD Screen among US veterans who served since September 11, 2001.   Psychiatry Res. 2010;178(2):330-335. doi:10.1016/j.psychres.2009.11.009 PubMedGoogle ScholarCrossref
35.
Prins  A, Bovin  MJ, Smolenski  DJ,  et al.  The Primary Care PTSD Screen for DSM-5 (PC-PTSD-5): development and evaluation within a veteran primary care sample.   J Gen Intern Med. 2016;31(10):1206-1211. doi:10.1007/s11606-016-3703-5 PubMedGoogle ScholarCrossref
36.
Holman  EA, Garfin  DR, Lubens  P, Silver  RC.  Media exposure to collective trauma, mental health, and functioning: does it matter what you see?   Clin Psychol Sci. 2020;8(1):111-124. doi:10.1177/2167702619858300 Google ScholarCrossref
37.
MacCallum  RC, Zhang  S, Preacher  KJ, Rucker  DD.  On the practice of dichotomization of quantitative variables.   Psychol Methods. 2002;7(1):19-40. doi:10.1037/1082-989X.7.1.19 PubMedGoogle ScholarCrossref
38.
Derogatis  LR.  BSI 18, Brief Symptom Inventory 18: Administration, Scoring, and Procedures Manual. Pearson; 2001.
39.
Sweeting  JA, Garfin  DR, Holman  EA, Silver  RC.  Associations between exposure to childhood bullying and abuse and adulthood outcomes in a representative national US sample.   Child Abuse Negl. 2020;101:104048. doi:10.1016/j.chiabu.2019.104048 PubMedGoogle ScholarCrossref
40.
Ware  JE  Jr, Sherbourne  CD.  The MOS 36-Item Short-Form Health Survey (SF-36). I: conceptual framework and item selection.   Med Care. 1992;30(6):473-483. doi:10.1097/00005650-199206000-00002 PubMedGoogle Scholar
41.
Li  C.  Little’s test of missing completely at random.   Stata J. 2013;13(4):795-809. doi:10.1177/1536867X1301300407 Google Scholar
42.
Carter  RL.  Solutions for missing data in structural equation modeling.   Research & Practice in Assessment. 2006;1(1):1-6.Google Scholar
43.
Bell  ML, Fairclough  DL, Fiero  MH, Butow  PN.  Handling missing items in the Hospital Anxiety and Depression Scale (HADS): a simulation study.   BMC Res Notes. 2016;9(1):479. doi:10.1186/s13104-016-2284-z PubMedGoogle Scholar
44.
Holman  EA, Garfin  DR, Silver  RC.  Media’s role in broadcasting acute stress following the Boston Marathon bombings.   Proc Natl Acad Sci U S A. 2014;111(1):93-98. doi:10.1073/pnas.1316265110 PubMedGoogle Scholar
45.
Thompson  RR, Garfin  DR, Holman  EA, Silver  RC.  Distress, worry, and functioning following a global health crisis: a national study of Americans’ responses to Ebola.   Clin Psychol Sci. 2017;5(3):513-521. doi:10.1177/2167702617692030 Google Scholar
46.
Sunstein  CR.  2010 standards for delineating metropolitan and micropolitan statistical areas.   Fed Regist. 2010;75(123):37246-37252.Google Scholar
47.
Garfin  DR, Silver  RC. Responses to natural disasters. In: Friedman  HS, ed.  Encyclopedia of Mental Health. 2nd ed. Academic Press; 2016:35-46. doi:10.1016/B978-0-12-397045-9.00161-0
48.
Bradley  VC, Kuriwaki  S, Isakov  M, Sejdinovic  D, Meng  XL, Flaxman  S.  Unrepresentative big surveys significantly overestimated US vaccine uptake.   Nature. 2021;600(7890):695-700. doi:10.1038/s41586-021-04198-4 PubMedGoogle Scholar
49.
Leppold  C, Gibbs  L, Block  K, Reifels  L, Quinn  P.  Public health implications of multiple disaster exposures.   Lancet Public Health. 2022;7(3):e274-e286. doi:10.1016/S2468-2667(21)00255-3 PubMedGoogle Scholar
50.
Norris  FH, Murrell  SA.  Prior experience as a moderator of disaster impact on anxiety symptoms in older adults.   Am J Community Psychol. 1988;16(5):665-683. doi:10.1007/BF00930020 PubMedGoogle Scholar
51.
Geng  F, Zhou  Y, Liang  Y, Fan  F.  A longitudinal study of recurrent experience of earthquake and mental health problems among Chinese adolescents.   Front Psychol. 2018;9:1259. doi:10.3389/fpsyg.2018.01259 PubMedGoogle Scholar
52.
Lowe  SR, Joshi  S, Pietrzak  RH, Galea  S, Cerdá  M.  Mental health and general wellness in the aftermath of Hurricane Ike.   Soc Sci Med. 2015;124:162-170. doi:10.1016/j.socscimed.2014.11.032 PubMedGoogle Scholar
53.
Thompson  RR, Jones  NM, Holman  EA, Silver  RC.  Media exposure to mass violence events can fuel a cycle of distress.   Sci Adv. 2019;5(4):eaav3502. doi:10.1126/sciadv.aav3502 PubMedGoogle Scholar
54.
May  CL, Wisco  BE.  Defining trauma: how level of exposure and proximity affect risk for posttraumatic stress disorder.   Psychol Trauma. 2016;8(2):233-240. doi:10.1037/tra0000077 PubMedGoogle Scholar
55.
Garfin  DR, Juth  V, Silver  RC, Ugalde  FJ, Linn  H, Inostroza  M.  A national study of health care service utilization and substance use after the 2010 Chilean earthquake.   Psychiatr Serv. 2014;65(11):1392-1395. doi:10.1176/appi.ps.201300500 PubMedGoogle Scholar
56.
Wang  PS, Gruber  MJ, Powers  RE,  et al.  Disruption of existing mental health treatments and failure to initiate new treatment after Hurricane Katrina.   Am J Psychiatry. 2008;165(1):34-41. doi:10.1176/appi.ajp.2007.07030502 PubMedGoogle Scholar
Original Investigation
Psychiatry
June 16, 2022

Association Between Repeated Exposure to Hurricanes and Mental Health in a Representative Sample of Florida Residents

Author Affiliations
  • 1Sue & Bill Gross School of Nursing, University of California, Irvine
  • 2Program in Public Health, University of California, Irvine
  • 3Department of Psychological Science, University of California, Irvine
  • 4Earth System Science and Stanford Woods Institute for the Environment, Stanford University, Stanford, California
  • 5Department of Medicine, University of California, Irvine
JAMA Netw Open. 2022;5(6):e2217251. doi:10.1001/jamanetworkopen.2022.17251
Key Points

Question  What psychological outcomes are associated with repeated exposure to catastrophic hurricanes?

Findings  In this survey study of 1637 Florida residents, repeated direct, indirect, and media exposures to hurricanes Irma and Michael were positively associated with posttraumatic stress symptoms, generalized worries, global distress, and functional impairment. Individual-level factors (prior mental health ailments), storm exposure factors (loss and/or injury, evacuation), knowing someone directly exposed, and media exposure to the hurricanes were associated with ongoing symptoms.

Meaning  The findings suggest that repeated exposure to hurricanes sensitizes people to respond with more psychological symptoms over time and may be associated with increased mental health risks.

Abstract

Importance  During the past century, more than 100 catastrophic hurricanes have impacted the Florida coast; climate change will likely be associated with increases in the intensity of future storms. Despite these annual threats to residents, to our knowledge, no longitudinal studies of representative samples at risk of hurricane exposure have examined psychological outcomes associated with repeated exposure.

Objective  To assess psychosocial and mental health outcomes and functional impairment associated with repeated hurricane exposure.

Design, Setting, and Participants  In this survey study, a demographically representative sample of Florida residents was assessed in the 60 hours prior to Hurricane Irma (wave 1: September 8-11, 2017). A second survey was administered 1 month after Hurricane Irma (wave 2: October 12-29, 2017), and a third survey was administered after Hurricane Michael (wave 3: October 22 to November 6, 2018). Data were analyzed from July 19 to 23, 2021.

Exposure  Hurricanes Irma and Michael.

Main Outcomes and Measures  The main outcomes were posttraumatic stress symptoms (PTSS), global distress, worry about future events (generalized worries), and functional impairment. Path models were used to assess associations of individual-level factors (prior mental health, recent adversity), prior storm exposures (loss and/or injury, evacuation), and direct, indirect, and media-based exposures to hurricanes Irma and Michael with those outcomes. Poststratification weights were applied to facilitate population-based inferences.

Results  Of 2873 individuals administered the survey in wave 1, 1637 responded (57.0% completion rate) (894 [54.6%, weighted] women; mean [SD] age, 51.31 [17.50] years); 1478 in wave 2 (90.3% retention from wave 1) and 1113 in wave 3 (75.3% retention from wave 2) responded. Prior mental health ailments (b, 0.18; 95% CI, 0.07-0.28), prior hurricane-related loss and/or injury (b, 0.09; 95% CI, 0.02-0.17), hours of Hurricane Irma–related media exposure (b, 0.03; 95% CI, 0.02-0.04), being in an evacuation zone during Hurricane Irma and not evacuating (b, 0.14; 95% CI, 0.02-0.27), and loss and/or injury in Hurricane Irma (b, 0.35; 95% CI, 0.25-0.44) were positively associated with PTSS after Hurricane Irma; most associations persisted and were associated with responses to Hurricane Michael. Prior mental health ailments (b, 0.10; 95% CI, 0.03-0.17), hours of Hurricane Michael–related media exposure (b, 0.01; 95% CI, 0.003-0.02), hurricane Irma-related PTSS (b, 0.42; 95% CI, 0.34-0.50), recent individual-level adversity (b, 0.03; 95% CI, 0.005-0.05), being in an evacuation zone during Hurricane Irma and evacuating (b, 0.10; 95% CI, 0.002-0.19), and direct (b, 0.36; 95% CI, 0.16-0.55) and indirect (b, 0.12; 95% CI, 0.05-0.18) Hurricane Michael–related exposures were directly associated with Hurricane Michael–related PTSS. After Hurricane Michael, prior mental health ailments (b, 0.17; 95% CI, 0.06-0.28), and PTSS related to hurricanes Irma (b, 0.11; 95% CI, 0.001-0.22) and Michael (b, 0.58; 95% CI, 0.47-0.69) were associated with respondents’ functional impairment. Analogous analyses using global distress and generalized worries as mediators of functional impairment yielded a similar pattern of results.

Conclusions and Relevance  In this survey study, repeated direct, indirect, and media-based exposures to hurricanes were associated with increased mental health symptoms among Florida residents who experienced hurricanes Irma and Michael, suggesting that people were sensitized to respond with more psychological symptoms over time. These results may inform targeted public health intervention efforts for natural disasters.

Introduction

Hurricanes, like many other natural hazards, threaten specific communities annually. In 2017, when Hurricane Irma approached Florida as a category 5 storm, 6.5 million people were put under mandatory evacuation orders.1 Images of a giant superstorm threatening the densely populated coast dominated the media. Damages cost more than $50 billion, making it one of the most expensive storms in US history.1-3 One year later, Hurricane Michael (category 5), one of the strongest hurricanes in Florida’s history, made landfall on the Florida panhandle with 160-mph winds and a 9- to 14-ft storm surge, resulting in 16 deaths and $25 billion in damages.3,4 Widespread media coverage broadcast the threat of both storms statewide because of the evolving risk of direct exposure.5 These storms are not exceptions; more than 100 catastrophic hurricanes made landfall in Florida in the past century. Climate change will likely increase the intensity of subsequent storms.4,6

Hurricane exposure correlates with psychological distress,7 and storm severity correlates with posttraumatic stress disorder.8 After Hurricane Katrina, psychopathologic symptoms increased, highlighting the potential long-term associations between such exposures and mental health.7 Despite the annual hurricane season threat, to our knowledge, no longitudinal studies have examined psychological responses associated with repeated hurricane exposure, and media exposure has rarely been incorporated. Few studies9 included prestorm assessments of psychological symptoms. Even methodologically rigorous studies often used cross-sectional designs or retrospective reports of prestorm experiences.10 Thus, little is known about how factors assessed before hurricanes, acute psychological responses, and repeated hurricane exposure may be associated with longitudinal mental health outcomes.

Despite methodological limitations, prior research provides insight into key factors associated with psychological responses. Factors including prior mental health ailments11 and demographic indicators (ie, educational level, socioeconomic status) were correlated with poor self-rated mental health after hurricanes Harvey12 and Katrina13 (although other researchers reported divergent Hurricane Katrina findings14). Predisaster traumas15 that elicited adverse responses16 and prior disaster exposures15,17,18 also correlated with postevent mental health. Direct storm-related exposure variables (eg, displacement, financial loss, and property damage) have been associated with adverse psychological responses, particularly posttraumatic stress symptoms (PTSS).19 Controlling for direct storm exposure, analyses found that media-based hurricane exposure was associated with distress9,20,21 and may have additive effects.22 Importantly, while habituation effects of adversity are plausible,23 robust research suggests that cumulative adversity exposure (including cascading collective traumas24 and disaster-related secondary stressors25) is associated with worse outcomes over time.

This study used a rare design with epidemiological assessments collected immediately before an approaching storm (Hurricane Irma) and immediately after 2 major Florida hurricanes (Irma and Michael) that occurred in annual succession; mental health ailments assessed before Hurricane Irma were also prospectively collected. Using a population-based representative sample of Florida adults surveyed 3 times during a 2-year period when 2 devastating hurricanes made landfall in Florida, we explored factors associated with mental health and functional impairment. We hypothesized that (1) individual-level factors (demographics, prestorm mental health, and recent adversity), storm-related exposures (evacuation status, property loss, and direct or indirect injury), and media exposure would be associated with worse short- and longer-term psychological outcomes and (2) short-term responses would be associated with longer-term psychological outcomes that would correlate with functional impairment after a subsequent hurricane.

Methods

In this survey study, participants were from the GfK (now Ipsos) KnowledgePanel, which was designed to be representative of US residents. Ipsos uses address-based sampling to randomly recruit panelists using probability-based sampling methods, and it collects and updates KnowledgePanel participants’ information regularly. Households without an internet connection are provided internet access. Ipsos emails panelists the links to surveys, which are completed on computers or mobile devices. This study’s sampling frame was Florida residents. The institutional review board of the University of California, Irvine approved all procedures; respondents were considered to have provided informed consent by completing the surveys after reading a brief introduction describing the study. Participants received $15 to $20 compensation for completing each 15- to 20-minute survey. The study followed the American Association for Public Opinion Research (AAPOR) reporting guideline26,27 and the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) reporting guideline.28

The wave 1 survey was fielded to all Florida panelists before Hurricane Irma’s landfall, between 6 pm on September 8, 2017, and 3 pm on September 11, 2017. One month after Irma (October 12-29, 2017), respondents to the wave 1 survey were administered a second survey (wave 2). An earlier report presents results from the first 2 waves of this longitudinal study.9 In the current study, approximately 1 year after the wave 2 survey, a third survey (wave 3) was fielded to the sample 2 to 3 weeks after Hurricane Michael (October 22 to November 6, 2018), a category 5 storm. The study was well powered (β > .80) to detect small effects (f2 = 0.02) for 22 variables.

Measures
Individual-Level Characteristics

Prior to the wave 1 survey, Ipsos collected responses to an item from the National Center for Health Statistics annual National Health Interview Survey29: “Has a medical doctor ever diagnosed you as suffering from any of the following ailments?” Prompts were depression and anxiety disorders. Comparisons between responses to the National Health Interview Survey item and the KnowledgePanel survey supported data validity (<1.5% difference).30 Missing values (4.5% of the sample) were imputed using sequential hot deck imputation.31,32

In the wave 3 survey, participants reported past-year experience with 37 adverse events (eg, serious accident or injury, domestic violence).33 Items were coded as 0 (“did not occur”) or 1 (“occurred”) and summed.

Hurricane-Related Exposures

In wave 1, previous hurricane-related evacuation zone experience included (1) evacuated, (2) did not evacuate, or (3) wanted to evacuate but could not. Responses were dichotomized as 0 (“no experience”) or 1 (“at least 1 experience”). Prior direct (eg, lost home or property, injured, or lost a pet) and indirect (eg, knowing someone injured or killed) hurricane exposures were summed.

In waves 1 and 3, daily hours (0 to ≥11) spent engaged with hurricane-related (1) television, radio, or print; (2) online news sources (CNN, NYTimes.com); and (3) social media (eg, Facebook, Twitter) in the days since coverage began were summed. In wave 2, evacuation experience during Hurricane Irma was coded as 0 (“not in an evacuation zone”), 1 (“evacuated”), or 2 (“in an evacuation zone but did not evacuate”). The number of direct (eg, lost home or property, injured, and lost a pet) and indirect (knowing someone injured or killed) exposures during Hurricane Irma were summed. Direct exposure to Hurricane Michael was assessed at wave 3; the number of losses (eg, lost home or property, injured, or lost a pet) and evacuation status during Hurricane Michael were summed.

Indirect exposure to Hurricane Michael was assessed by asking respondents to report if they knew someone who experienced a loss, was near the path of the storm, or was injured or killed during Hurricane Michael. Because direct exposure to Hurricane Michael was geographically limited to the Florida panhandle, indirect exposure to Hurricane Michael was assessed more comprehensively. Direct and indirect exposures to Hurricane Michael were treated as separate variables.

Outcome Variables

For waves 2 and 3, we used a modified version of the Primary Care Posttraumatic Stress Disorder Screen for the Diagnostic and Statistical Manual of Mental Disorders (Fifth Edition)34,35 that was implemented in prior research9,33,36 to assess prior-week hurricane-related PTSS using a 5-point scale (1 [“never”] to 5 [“all the time”]; wave 2: α = .87; wave 3: α = .83). These modifications capture variability in an inherently dimensional construct37 assessed in respondents exposed directly and indirectly via a close other person (criterion A) and through the media (not criterion A). Fielding our survey soon after the hurricanes also required a shorter time frame (ie, past week) to avoid overlap with possible prehurricane symptoms.

In waves 2 and 3, a 9-item version of the Brief Symptom Inventory–1838 was used to measure global distress. Respondents reported anxiety, depression, and somatization symptoms in the prior 7 days (0 [“not at all”] to 4 [“extremely”]; wave 2: α = .90; wave 3: α = .89).

Eight items from previous research39 were used to assess ongoing past-week worries about the possibility of (1) terrorist attacks, (2) natural disasters, (3) violence (shootings, stabbings, or physical assault), and (4) financial stress or strain (1 [“never”] to 5 [“all of the time”]; wave 2: α = .90; wave 3: α = .90). In wave 3, 4 items from the 36-Item Short-Form Health Survey40 were used to assess physical and emotional health (1 [“none of the time”] to 5 [“all the time”]; α = .89).

Statistical Analysis

Data were analyzed from July 19 to 23, 2021. Using Stata, version 16.1 (StataCorp LLC), 3 path models (1 for each dependent variable) tested the associations of individual-level factors (eg, demographics, prior mental health, and recent adversity); prior storm exposures (evacuation, storm-related loss and/or injury); and direct (personal evacuation, storm-related loss and/or injury), indirect (storm-related loss and/or injury of a close other person), and media-based exposures to hurricanes Irma and Michael with PTSS (waves 2 and 3), ongoing generalized worries (waves 2 and 3), and global distress (waves 2 and 3). Functional impairment in wave 3 was the final outcome. Figure 1 shows the hypothesized model. Significance was measured as 2-sided P < .05. Poststratification weights accounted for differential probabilities of panel recruitment and adjusted the final sample to US census benchmarks for Florida. Weights were constructed iteratively from panel-level design weights and included gender, age, race and ethnicity, household income, residing in a metropolitan or nonmetropolitan area, and educational level.

For missing data across and within waves, Little’s Missing Completely at Random Test was implemented.41 Results suggested that data were missing completely at random (χ2522 = 554.83; P = .16). Thus, full information maximum likelihood was implemented using all available data within and between waves.42 Robust SEs are presented as appropriate for complex survey data. For individual scales, because of the low rate of missing data (<5% on any item), row mean substitution (by subscale, if applicable) was implemented if respondents answered more than 50% of questions per measure. This produces the least amount of bias compared with other approaches43 and is consistent with analyses of similar data sets.22,44,45

Results

Of 2873 Florida residents administered the wave 1 survey, 1637 responded (57.0% AAPOR-defined completion rate26,27), 1579 (96.5%) of whom responded within 48 hours; 1478 respondents completed the wave 2 survey (90.3% retention from wave 1). Ninety-five participants who did not complete wave 1 but had participated in another ongoing study were invited to participate in wave 2; 40 of these completed the survey, for a total of 1518 wave 2 participants. These 40 were not included in the inferential statistics or in the completion or retention rates. In wave 3, 1113 people completed the survey (75.3% retention from wave 2; 66.7% retention from wave 1).

Among the 1637 respondents in the total sample, the mean (SD) age was 51.31 (17.50) years and 894 (54.6%, weighted) were women. The wave 1 weighted sample demographics were close to US census benchmarks for Florida (eTable 1 in the Supplement). A total of 1369 participants (83.6%) reported no prior mental health diagnoses, 186 (11.4%) reported a previous depression or anxiety diagnosis, and 81 (5.0%) reported both diagnoses.

A map of participants’ locations across the state of Florida is presented in eFigure 1 in the Supplement. All numbers and percentages are weighted and may vary slightly owing to missing data and rounding. Of 1637 wave 1 participants, 389 (24.5%) had at least 1 evacuation experience before Hurricane Irma; 300 (18.4%) experienced a hurricane-related loss before Hurricane Irma. The mean (SD) amount of Hurricane Irma–related media exposure was 7.91 (7.33) hours across all sources (3.84 [3.30] hours of television, radio, and print news; 2.19 [2.84] hours of online news; and 1.93 [2.90] hours of social media). Of 1518 wave 2 participants, 756 (50.0%) reported being in an evacuation zone during Hurricane Irma, and 193 (12.7%) experienced a Hurricane Irma–related loss and/or injury. Of 1113 wave 3 participants, 117 (10.5%) reported direct Hurricane Michael exposure, 101 (9.1%) reported being in an evacuation zone, and 406 (36.6%) reported indirect exposure to Hurricane Michael. The mean (SD) amount of Hurricane Michael–related media exposure was 4.92 (5.85) hours across all sources (2.37 [2.76] hours of television, radio, and print news; 1.38 [2.13] hours of online news; and 1.18 [2.28] hours of social media). A total of 1582 respondents (96.7%) lived in a metropolitan area,46 consistent with the state population. Descriptive statistics for the dependent constructs are presented in eTable 2 in the Supplement.

Table 1 presents factors associated with hurricane-related PTSS over time. Pre–Hurricane Irma mental health ailments (b, 0.18; 95% CI, 0.07-0.28), prior hurricane-related loss and/or injury (b, 0.09; 95% CI, 0.02-0.17), Hurricane Irma–related media exposure (b, 0.03; 95% CI, 0.02-0.04), being in an evacuation zone and not evacuating during Hurricane Irma (b, 0.14; 95% CI, 0.02-0.27), and Hurricane Irma–related loss and/or injury (b, 0.35; 95% CI, 0.25-0.44) were directly associated with a linear increase in PTSS after Hurricane Irma (Figure 2A). The following were directly associated with increased PTSS after Hurricane Michael: mental health ailments before Hurricane Irma (b, 0.10; 95% CI, 0.03-0.17), being in an evacuation zone and evacuating during Hurricane Irma (b, 0.10; 95% CI, 0.002-0.19), hours of Hurricane Michael–related media exposure (b, 0.01; 95% CI, 0.003-0.02), both direct (b, 0.36; 95% CI, 0.16-0.55) and indirect (b, 0.12; 95% CI, 0.05-0.18) exposure to Hurricane Michael, recent individual-level adversity (b, 0.03; 95% CI, 0.005-0.05), and wave 2 PTSS (b, 0.42; 95% CI, 0.34-0.50). Hurricane-related loss and/or injury before Hurricane Irma, pre-Hurricane Irma mental health ailments, loss and/or injury in Hurricane Irma, Hurricane Irma–related media exposure, and being in an evacuation zone but not evacuating during Hurricane Irma were indirectly associated with higher number of Hurricane Michael–related PTSS through a higher number of early PTSS after Hurricane Irma (Figure 2B). Pre–Hurricane Irma mental health ailments and wave 2 and 3 PTSS were directly associated with higher symptoms of functional impairment. Increased hours of Hurricane Irma–related media, pre-Hurricane Irma mental health ailments, being in an evacuation zone and evacuating or not evacuating during Hurricane Irma, Hurricane Irma–related loss and/or injury, hours of Hurricane Michael–related media exposure, direct and indirect exposure to Hurricane Michael, recent individual-level adversity, and wave 2 PTSS were indirectly associated with higher symptoms of functional impairment (Figure 2C).

Table 2 presents factors associated with higher symptoms of ongoing generalized worries after hurricanes Irma and Michael. Pre–Hurricane Irma mental health ailments and hurricane-related loss and/or injury, hours of Hurricane Irma-related media exposure, being in an evacuation zone and not evacuating during Hurricane Irma, and Hurricane Irma–related loss and/or injury were directly associated with post–Hurricane Irma worries (eFigure 2 in the Supplement). Being in an evacuation zone and evacuating during Hurricane Irma, hours of Hurricane Michael–related media exposure, indirect exposure to Hurricane Michael, recent adversity, and post–Hurricane Irma worries were directly associated with worries after Hurricane Michael. Pre–Hurricane Irma mental health ailments and hurricane-related loss and/or injury, hours of Hurricane Irma–related media exposure, being in an evacuation zone and not evacuating during Hurricane Irma, and Hurricane Irma–related loss and/or injury were indirectly positively associated with worries after Hurricane Michael (eFigure 2 in the Supplement). Pre–Hurricane Irma mental health ailments, being in an evacuation zone and not evacuating during Hurricane Irma, direct exposure to Hurricane Michael, and post–Hurricane Michael worries were directly associated with greater functional impairment; indirect associations were identified for pre–Hurricane Irma mental health ailments, hours of Hurricane Irma–related media exposure, being in an evacuation zone and evacuating during Hurricane Irma, post–Hurricane Irma worries, indirect exposure to Hurricane Michael, Hurricane Michael–related media exposure, and recent individual-level adversity (eFigure 2 in the Supplement).

Table 3 presents factors associated with global distress over time. Pre–Hurricane Irma mental health ailments, hours of Hurricane Irma–related media exposure, being in an evacuation zone and not evacuating during Hurricane Irma, and Hurricane Irma–related loss and/or injury were directly associated with higher symptoms of global distress in wave 2 (eFigure 3 in the Supplement). Recent adversity and global distress in wave 2 were significantly associated with higher symptoms of global distress in wave 3. Pre–Hurricane Irma mental health ailments, hours of Hurricane Irma–related media exposure, being in an evacuation zone and not evacuating during Hurricane Irma, and Hurricane Irma–related loss and/or injury were indirectly associated with higher symptoms of global distress in wave 3 (eFigure 3 in the Supplement). For functional impairment in wave 3, direct associations were identified for being in an evacuation zone and not evacuating during Hurricane Irma, hours of Hurricane Michael–related media exposure, indirect exposure to Hurricane Michael, and higher symptoms of global distress in wave 3. Indirect associations with functional impairment in wave 3 were also identified for pre–Hurricane Irma mental health ailments, hours of Hurricane Irma–related media exposure, being in an evacuation zone (both evacuating and not evacuating) during Hurricane Irma, Hurricane Irma–related loss and/or injury, higher symptoms of global distress in wave 2, and recent individual-level adversity (eFigure 3 in the Supplement).

Discussion

To our knowledge, this is the first study to assess individuals immediately before a category 5 hurricane and follow them longitudinally to assess responses in the immediate aftermath of 2 successive hurricanes (Irma and Michael). This allowed exposure and response assessment with lower than typical bias,47 including real-time media exposure to Hurricane Irma. Lowering assessment biases is imperative given recent findings that survey research with nonrepresentative samples has critical biases including inflated point estimates48; alternatively, research with representative samples provides more accurate estimates of exposure and psychological responses. We addressed key limitations identified in a recent review of the public health implications of exposure to multiple disasters, most notably the association between repeated exposure to multiple disasters and psychological and physical health.49

Unlike previous studies of natural hazards suggesting habituation effects,50 this study’s results demonstrated cumulative effects after repeated hurricane exposures. Rather than acclimation to disasters over time, the findings showed associations between direct, indirect, and media-based hazard exposures and increases in mental health problems and functional impairment in work and social settings. This suggests that sensitization processes occurred over time. Hurricane Irma–related PTSS were associated with greater Hurricane Michael–related PTSS and functional impairment. These results align with previous research conducted after repeated exposure to terrorist attacks22 and earthquakes51 that showed additive effects of repeated disaster exposure associated with mental health symptoms. These findings have critical policy implications; clinicians and policy makers should prepare for the deleterious mental and physical health outcomes that may occur as climate-related hazards increase in frequency and severity.

Key hurricane-related stressors were associated with postevent responses and varied across outcomes, like prior work.52 Hurricane-related property loss and/or injury both before and during Hurricane Irma and direct exposure to Hurricane Michael were positively associated with distress responses, similar to Hurricane Katrina–related findings.13 Our results support prior research showing associations between these stressors and short-term outcomes,9 demonstrating that these associations persisted over time and may sensitize individuals to respond more negatively to subsequent hurricanes. This occurred in the sample in our study even though many respondents were not in the direct path of Hurricane Michael, demonstrating the importance of indirect (ie, knowing someone affected) and media-based exposure. Prevalence rates were similar to those indicated in prior studies of hurricane survivors,8 although many respondents in the sample in our study were indirectly exposed. Media exposure to hurricanes Irma and Michael was associated with immediate posthurricane distress; the findings again suggest additive effects. The association between media exposure and distress was likely cyclical; prior work53 demonstrated that high levels of media exposure to collective trauma correlated with distress, which in turn correlated with more media exposure and more distress following subsequent events. Taken together, this study’s findings highlight the importance of broad-based approaches to postdisaster outreach because people who experience indirect exposure,54 less direct exposure, or primarily media-based exposure may also be at risk for psychological difficulties.55

Prehurricane mental health problems and other non–hurricane-related stressors were also associated with increased hurricane-related distress over time. This is particularly important to address in postdisaster outreach. While people with preexisting mental health problems may experience greater postevent mental health symptoms, they are also likely to have their treatment interrupted and not initiate new treatment after a hurricane.56 Creating policies that bridge treatment from before to after a disaster and offer community-based resources for these individuals may help break the cycle of distress, particularly in the context of repeated exposure. Similarly, individuals with concurrent non–hurricane-related stressors also reported more distress. Making resources available that address contextual factors (eg, abuse, illness) may also facilitate posthurricane recovery.

Limitations

This study has limitations. Although the sample was drawn from residents across Florida and population weights were used to increase representativeness, those who were most severely affected by Hurricane Michael comprised a relatively small proportion of the sample. While we were able to maintain a high rate of retention in the follow-up waves, there may have been differences between wave 1 respondents and initial nonresponders, including severity of previous hurricane exposure. Nevertheless, our overall response rate for wave 1 was comparable with those typically seen in disaster studies9 and high when accounting for the small sampling time frame (60 hours prior to Hurricane Irma’s landfall).

Conclusions

In this survey study, repeated direct, indirect, and media-based exposures to hurricanes were associated with increased mental health symptoms over time among Florida residents who experienced hurricanes Irma and Michael. The findings suggest that survey designs that include preassessments and are fielded quickly after a disaster can yield critical insights into longitudinal postevent responses. Recovery from natural hazards may be a protracted process; psychological distress may persist and be exacerbated by subsequent exposures. This study’s results highlight the need to address the mental health implications of repeated exposure to natural hazards, particularly in areas such as the Gulf Coast that are at high risk for repeated hurricane exposure, as risk of hurricanes and other climate-related threats is expected to increase.

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Article Information

Accepted for Publication: April 21, 2022.

Published: June 16, 2022. doi:10.1001/jamanetworkopen.2022.17251

Open Access: This is an open access article distributed under the terms of the CC-BY License. © 2022 Garfin DR et al. JAMA Network Open.

Corresponding Authors: Dana Rose Garfin, PhD, Sue & Bill Gross School of Nursing, Program in Public Health, University of California, Irvine, 100C Berk Hall, Irvine, CA 92697-7085 (dgarfin@uci.edu); Roxane Cohen Silver, PhD, Department of Psychological Science, Department of Medicine, and Program in Public Health, University of California, Irvine, 535 Aldrich Hall, Irvine, CA 92697-1000 (rsilver@uci.edu).

Author Contributions: Dr Garfin had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.

Concept and design: Garfin, Holman, Wong-Parodi, Silver.

Acquisition, analysis, or interpretation of data: All authors.

Drafting of the manuscript: Garfin, Thompson, Holman, Silver.

Critical revision of the manuscript for important intellectual content: Garfin, Holman, Wong-Parodi, Silver.

Statistical analysis: Garfin, Thompson.

Obtained funding: Holman, Wong-Parodi, Silver.

Administrative, technical, or material support: Thompson, Silver.

Supervision: Holman, Silver.

Conflict of Interest Disclosures: Dr Garfin reported receiving grants from the National Science Foundation and the National Institute on Minority Health and Health Disparities, National Institutes of Health during the conduct of the study. Dr Wong-Parodi reported receiving grants from the National Science Foundation during the conduct of the study. Dr Silver reported receiving grants from the National Science Foundation during the conduct of the study. No other disclosures were reported.

Funding/Support: This work was funded by grants SBE 1760764 and BCS 1902925 (Drs Silver and Holman) and SES 1811883 (Drs Wong-Parodi and Silver) from the National Science Foundation.

Role of the Funder/Sponsor: The funder had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.

Additional Contributions: Wendy Mansfield, PhD (Ipsos), and Ying Wang, MS (Ipsos), contributed to the data collection effort and received compensation. Rupa Jose, PhD (University of Pennsylvania), assisted with creating eFigure 1 in the Supplement and did not receive compensation.

References
1.
Feng  K, Lin  N.  A reconstruction of Florida traffic flow during Hurricane Irma (2017).  arXiv. Preprint posted online July 30, 2018. https://arxiv.org/abs/1807.11177
2.
D’Andrea  JM.  A brief parametric analysis of catastrophic or disastrous hurricanes that have hit the Florida Keys between 1900 and 2000.   Am J Comput Math. 2018;8(1):1-6. doi:10.4236/ajcm.2018.81001 Google ScholarCrossref
3.
Office for Coastal Management, National Oceanic and Atmospheric Association. Hurricane costs. 2019. Accessed December 2, 2019. https://coast.noaa.gov/states/fast-facts/hurricane-costs.html
4.
Beven  JL  II, Berg  R, Hagen  A.  National Hurricane Center Tropical Cyclone Report: Hurricane Michael (AL142018). National Weather Service; 2019:111.
5.
Sellnow-Richmond  DD, Sellnow  TL. The consequences of risk amplification in the evolution of warning messages during slow-moving crises. The Handbook of Applied Communication Research. Vol. 1. Wiley; 2020:443-456.
6.
Trenberth  KE, Cheng  L, Jacobs  P, Zhang  Y, Fasullo  J.  Hurricane Harvey links to ocean heat content and climate change adaptation.   Earth’s Future. 2018;6(5):730-744. doi:10.1029/2018EF000825 Google ScholarCrossref
7.
Kessler  RC, Galea  S, Gruber  MJ, Sampson  NA, Ursano  RJ, Wessely  S.  Trends in mental illness and suicidality after Hurricane Katrina.   Mol Psychiatry. 2008;13(4):374-384. doi:10.1038/sj.mp.4002119 PubMedGoogle ScholarCrossref
8.
Wang  Z, Wu  X, Dai  W,  et al.  The prevalence of posttraumatic stress disorder among survivors after a typhoon or hurricane: a systematic review and meta-analysis.   Disaster Med Public Health Prep. 2019;13(5-6):1065-1073. doi:10.1017/dmp.2019.26 PubMedGoogle ScholarCrossref
9.
Thompson  RR, Holman  EA, Silver  RC.  Media coverage, forecasted posttraumatic stress symptoms, and psychological responses before and after an approaching hurricane.   JAMA Netw Open. 2019;2(1):e186228. doi:10.1001/jamanetworkopen.2018.6228 PubMedGoogle ScholarCrossref
10.
Thompson  RR, Garfin  DR, Silver  RC.  Evacuation from natural disasters: a systematic review of the literature.   Risk Anal. 2017;37(4):812-839. doi:10.1111/risa.12654 PubMedGoogle ScholarCrossref
11.
Kessler  RC, Galea  S, Jones  RT, Parker  HA; Hurricane Katrina Community Advisory Group.  Mental illness and suicidality after Hurricane Katrina.   Bull World Health Organ. 2006;84(12):930-939. doi:10.2471/BLT.06.033019 PubMedGoogle ScholarCrossref
12.
Karaye  IM, Ross  AD, Perez-Patron  M, Thompson  C, Taylor  N, Horney  JA.  Factors associated with self-reported mental health of residents exposed to Hurricane Harvey.   Prog Disaster Sci. 2019;2:100016. doi:10.1016/j.pdisas.2019.100016 Google ScholarCrossref
13.
Galea  S, Brewin  CR, Gruber  M,  et al.  Exposure to hurricane-related stressors and mental illness after Hurricane Katrina.   Arch Gen Psychiatry. 2007;64(12):1427-1434. doi:10.1001/archpsyc.64.12.1427 PubMedGoogle ScholarCrossref
14.
McLaughlin  KA, Berglund  P, Gruber  MJ, Kessler  RC, Sampson  NA, Zaslavsky  AM.  Recovery from PTSD following Hurricane Katrina.   Depress Anxiety. 2011;28(6):439-446. doi:10.1002/da.20790 PubMedGoogle ScholarCrossref
15.
Cherry  KE, Lyon  BA, Sampson  L, Galea  S, Nezat  PF, Marks  LD.  Prior hurricane and other lifetime trauma predict coping style in older commercial fishers after the BP Deepwater Horizon oil spill.   J Appl Biobehav Res. 2017;22(2):e12058. doi:10.1111/jabr.12058 Google ScholarCrossref
16.
Breslau  N, Peterson  EL, Schultz  LR.  A second look at prior trauma and the posttraumatic stress disorder effects of subsequent trauma: a prospective epidemiological study.   Arch Gen Psychiatry. 2008;65(4):431-437. doi:10.1001/archpsyc.65.4.431 PubMedGoogle ScholarCrossref
17.
Reifels  L, Spittal  MJ, Dückers  MLA, Mills  K, Pirkis  J.  Suicidality risk and (repeat) disaster exposure: findings from a nationally representative population survey.   Psychiatry. 2018;81(2):158-172. doi:10.1080/00332747.2017.1385049 PubMedGoogle ScholarCrossref
18.
Reifels  L, Mills  K, Dückers  MLA, O’Donnell  ML.  Psychiatric epidemiology and disaster exposure in Australia.   Epidemiol Psychiatr Sci. 2019;28(3):310-320. doi:10.1017/S2045796017000531 PubMedGoogle ScholarCrossref
19.
Acierno  R, Ruggiero  KJ, Galea  S,  et al.  Psychological sequelae resulting from the 2004 Florida hurricanes: implications for postdisaster intervention.   Am J Public Health. 2007;97(suppl 1):S103-S108. doi:10.2105/AJPH.2006.087007 PubMedGoogle ScholarCrossref
20.
Hall  BJ, Xiong  YX, Yip  PSY,  et al.  The association between disaster exposure and media use on post-traumatic stress disorder following Typhoon Hato in Macao, China.   Eur J Psychotraumatol. 2019;10(1):1558709. doi:10.1080/20008198.2018.1558709 PubMedGoogle ScholarCrossref
21.
Goodwin  R, Palgi  Y, Hamama-Raz  Y, Ben-Ezra  M.  In the eye of the storm or the bullseye of the media: social media use during Hurricane Sandy as a predictor of post-traumatic stress.   J Psychiatr Res. 2013;47(8):1099-1100. doi:10.1016/j.jpsychires.2013.04.006 PubMedGoogle ScholarCrossref
22.
Garfin  DR, Holman  EA, Silver  RC.  Cumulative exposure to prior collective trauma and acute stress responses to the Boston Marathon bombings.   Psychol Sci. 2015;26(6):675-683. doi:10.1177/0956797614561043 PubMedGoogle ScholarCrossref
23.
Seery  MD, Holman  EA, Silver  RC.  Whatever does not kill us: cumulative lifetime adversity, vulnerability, and resilience.   J Pers Soc Psychol. 2010;99(6):1025-1041. doi:10.1037/a0021344 PubMedGoogle ScholarCrossref
24.
Silver  RC, Holman  EA, Garfin  DR.  Coping with cascading collective traumas in the United States.   Nat Hum Behav. 2021;5(1):4-6. doi:10.1038/s41562-020-00981-x PubMedGoogle ScholarCrossref
25.
Garfin  DR, Silver  RC, Ugalde  FJ, Linn  H, Inostroza  M.  Exposure to rapid succession disasters: a study of residents at the epicenter of the Chilean Bío Bío earthquake.   J Abnorm Psychol. 2014;123(3):545-556. doi:10.1037/a0037374 PubMedGoogle ScholarCrossref
26.
Callegaro  M, DiSogra  C.  Computing response metrics for online panels.   Public Opin Q. 2008;72(5):1008-1032. doi:10.1093/poq/nfn065 Google ScholarCrossref
27.
American Association for Public Opinion Research.  Standard Definitions: Final Dispositions of Case Codes and Outcome Rates for Surveys. 9th ed. AAPOR; 2016.
28.
von Elm  E, Altman  DG, Egger  M, Pocock  SJ, Gøtzsche  PC, Vandenbroucke  JP; STROBE Initiative.  The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies.   Lancet. 2007;370(9596):1453-1457. doi:10.1016/S0140-6736(07)61602-X PubMedGoogle ScholarCrossref
29.
US Dept of Health and Human Services.  National Center for Health Statistics: National Health Interview Survey Questionnaire 2000. US Dept of Health and Human Services; 2001.
30.
Baker  LC, Bundorf  MK, Singer  S, Wagner  TH.  Validity of the Survey of Health and Internet and Knowledge Network’s Panel and Sampling. Stanford University; 2003.
31.
Andridge  RR, Little  RJ.  A review of Hot Deck Imputation for survey non-response.   Int Stat Rev. 2010;78(1):40-64. doi:10.1111/j.1751-5823.2010.00103.x PubMedGoogle ScholarCrossref
32.
Cox  BG.  The weighted sequential hot deck imputation procedure.   Proc Am Stat Assoc Sect Surv Res Methods. 1980;(August):721-726.Google Scholar
33.
Garfin  DR, Holman  EA, Silver  RC.  Exposure to prior negative life events and responses to the Boston Marathon bombings.   Psychol Trauma. 2020;12(3):320-329. doi:10.1037/tra0000486 PubMedGoogle ScholarCrossref
34.
Calhoun  PS, McDonald  SD, Guerra  VS, Eggleston  AM, Beckham  JC, Straits-Troster  K; VA Mid-Atlantic MIRECC OEF/OIF Registry Workgroup.  Clinical utility of the Primary Care—PTSD Screen among US veterans who served since September 11, 2001.   Psychiatry Res. 2010;178(2):330-335. doi:10.1016/j.psychres.2009.11.009 PubMedGoogle ScholarCrossref
35.
Prins  A, Bovin  MJ, Smolenski  DJ,  et al.  The Primary Care PTSD Screen for DSM-5 (PC-PTSD-5): development and evaluation within a veteran primary care sample.   J Gen Intern Med. 2016;31(10):1206-1211. doi:10.1007/s11606-016-3703-5 PubMedGoogle ScholarCrossref
36.
Holman  EA, Garfin  DR, Lubens  P, Silver  RC.  Media exposure to collective trauma, mental health, and functioning: does it matter what you see?   Clin Psychol Sci. 2020;8(1):111-124. doi:10.1177/2167702619858300 Google ScholarCrossref
37.
MacCallum  RC, Zhang  S, Preacher  KJ, Rucker  DD.  On the practice of dichotomization of quantitative variables.   Psychol Methods. 2002;7(1):19-40. doi:10.1037/1082-989X.7.1.19 PubMedGoogle ScholarCrossref
38.
Derogatis  LR.  BSI 18, Brief Symptom Inventory 18: Administration, Scoring, and Procedures Manual. Pearson; 2001.
39.
Sweeting  JA, Garfin  DR, Holman  EA, Silver  RC.  Associations between exposure to childhood bullying and abuse and adulthood outcomes in a representative national US sample.   Child Abuse Negl. 2020;101:104048. doi:10.1016/j.chiabu.2019.104048 PubMedGoogle ScholarCrossref
40.
Ware  JE  Jr, Sherbourne  CD.  The MOS 36-Item Short-Form Health Survey (SF-36). I: conceptual framework and item selection.   Med Care. 1992;30(6):473-483. doi:10.1097/00005650-199206000-00002 PubMedGoogle Scholar
41.
Li  C.  Little’s test of missing completely at random.   Stata J. 2013;13(4):795-809. doi:10.1177/1536867X1301300407 Google Scholar
42.
Carter  RL.  Solutions for missing data in structural equation modeling.   Research & Practice in Assessment. 2006;1(1):1-6.Google Scholar
43.
Bell  ML, Fairclough  DL, Fiero  MH, Butow  PN.  Handling missing items in the Hospital Anxiety and Depression Scale (HADS): a simulation study.   BMC Res Notes. 2016;9(1):479. doi:10.1186/s13104-016-2284-z PubMedGoogle Scholar
44.
Holman  EA, Garfin  DR, Silver  RC.  Media’s role in broadcasting acute stress following the Boston Marathon bombings.   Proc Natl Acad Sci U S A. 2014;111(1):93-98. doi:10.1073/pnas.1316265110 PubMedGoogle Scholar
45.
Thompson  RR, Garfin  DR, Holman  EA, Silver  RC.  Distress, worry, and functioning following a global health crisis: a national study of Americans’ responses to Ebola.   Clin Psychol Sci. 2017;5(3):513-521. doi:10.1177/2167702617692030 Google Scholar
46.
Sunstein  CR.  2010 standards for delineating metropolitan and micropolitan statistical areas.   Fed Regist. 2010;75(123):37246-37252.Google Scholar
47.
Garfin  DR, Silver  RC. Responses to natural disasters. In: Friedman  HS, ed.  Encyclopedia of Mental Health. 2nd ed. Academic Press; 2016:35-46. doi:10.1016/B978-0-12-397045-9.00161-0
48.
Bradley  VC, Kuriwaki  S, Isakov  M, Sejdinovic  D, Meng  XL, Flaxman  S.  Unrepresentative big surveys significantly overestimated US vaccine uptake.   Nature. 2021;600(7890):695-700. doi:10.1038/s41586-021-04198-4 PubMedGoogle Scholar
49.
Leppold  C, Gibbs  L, Block  K, Reifels  L, Quinn  P.  Public health implications of multiple disaster exposures.   Lancet Public Health. 2022;7(3):e274-e286. doi:10.1016/S2468-2667(21)00255-3 PubMedGoogle Scholar
50.
Norris  FH, Murrell  SA.  Prior experience as a moderator of disaster impact on anxiety symptoms in older adults.   Am J Community Psychol. 1988;16(5):665-683. doi:10.1007/BF00930020 PubMedGoogle Scholar
51.
Geng  F, Zhou  Y, Liang  Y, Fan  F.  A longitudinal study of recurrent experience of earthquake and mental health problems among Chinese adolescents.   Front Psychol. 2018;9:1259. doi:10.3389/fpsyg.2018.01259 PubMedGoogle Scholar
52.
Lowe  SR, Joshi  S, Pietrzak  RH, Galea  S, Cerdá  M.  Mental health and general wellness in the aftermath of Hurricane Ike.   Soc Sci Med. 2015;124:162-170. doi:10.1016/j.socscimed.2014.11.032 PubMedGoogle Scholar
53.
Thompson  RR, Jones  NM, Holman  EA, Silver  RC.  Media exposure to mass violence events can fuel a cycle of distress.   Sci Adv. 2019;5(4):eaav3502. doi:10.1126/sciadv.aav3502 PubMedGoogle Scholar
54.
May  CL, Wisco  BE.  Defining trauma: how level of exposure and proximity affect risk for posttraumatic stress disorder.   Psychol Trauma. 2016;8(2):233-240. doi:10.1037/tra0000077 PubMedGoogle Scholar
55.
Garfin  DR, Juth  V, Silver  RC, Ugalde  FJ, Linn  H, Inostroza  M.  A national study of health care service utilization and substance use after the 2010 Chilean earthquake.   Psychiatr Serv. 2014;65(11):1392-1395. doi:10.1176/appi.ps.201300500 PubMedGoogle Scholar
56.
Wang  PS, Gruber  MJ, Powers  RE,  et al.  Disruption of existing mental health treatments and failure to initiate new treatment after Hurricane Katrina.   Am J Psychiatry. 2008;165(1):34-41. doi:10.1176/appi.ajp.2007.07030502 PubMedGoogle Scholar
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