Dataset Information

Altered hippocampal microstructure and function in children who experienced Hurricane Irma.

ABSTRACT: Hurricane Irma was the most powerful Atlantic hurricane in recorded history, displacing 6 million and killing over 120 people in the state of Florida alone. Unpredictable disasters like Irma are associated with poor cognitive and health outcomes that can disproportionately impact children. This study examined the effects of Hurricane Irma on the hippocampus and memory processes previously related to unpredictable stress. We used an innovative application of an advanced diffusion-weighted imaging technique, restriction spectrum imaging (RSI), to characterize hippocampal microstructure (i.e., cell density) in 9- to 10-year-old children who were exposed to Hurricane Irma relative to a non-exposed control group (i.e., assessed the year before Hurricane Irma). We tested the hypotheses that the experience of Hurricane Irma would be associated with decreases in: (a) hippocampal cellularity (e.g., neurogenesis), based on known associations between unpredictable stress and hippocampal alterations; and (b) hippocampal-related memory function as indexed by delayed recall. We show an association between decreased hippocampal cellularity and delayed recall memory in children who experienced Hurricane Irma relative to those who did not. These findings suggest an important role of RSI for assessing subtle microstructural changes related to functionally significant changes in the developing brain in response to environmental events.

SUBMITTER: Conley MI

PROVIDER: S-EPMC8206237 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Altered hippocampal microstructure and function in children who experienced Hurricane Irma.

Conley May I MI Skalaban Lena J LJ Rapuano Kristina M KM Gonzalez Raul R Laird Angela R AR Dick Anthony Steven AS Sutherland Matthew T MT Watts Richard R Casey B J BJ

Developmental psychobiology 20201216 5

Hurricane Irma was the most powerful Atlantic hurricane in recorded history, displacing 6 million and killing over 120 people in the state of Florida alone. Unpredictable disasters like Irma are associated with poor cognitive and health outcomes that can disproportionately impact children. This study examined the effects of Hurricane Irma on the hippocampus and memory processes previously related to unpredictable stress. We used an innovative application of an advanced diffusion-weighted imaging ...[more]

PMID: 33325561

Similar Datasets

Project description:ObjectivesTo examine the effect of Hurricane Irma on staff-related financial expenditures and daily direct-care nurse staffing levels.DesignRetrospective cohort study.SettingSeptember 3-24, 2017 in the state of Florida, United States. Hurricane Irma made landfall on September 10, 2017.ParticipantsSix hundred and fifty-three nursing homes (NHs), 81 evacuated facilities, and 572 facilities that sheltered-in-place.MeasurementsThis study used data from Payroll-Based Journaling (PBJ), Certification and Survey Provider Enhanced Reports (CASPER), and Florida's health providers' emergency reporting system. PBJ provided estimates of daily direct-care nurse staffing levels for registered nurses, licensed practical nurses, and certified nursing assistants. CASPER reported facility-level characteristics such as profit status, chain membership, and special care unit availability. Florida's emergency reporting system identified evacuation status during Hurricane Irma. Linear mixed-effects models were used to estimate the unique contribution of evacuation status on daily staffing increases over time from September 3 to 10.ResultsAmong all facilities, we found significant increases in staffing for licensed practical nurses (p = 0.02) and certified nursing assistants (p < 0.001), but not for registered nurses (p = 0.10) before Hurricane Irma made landfall. From 1 week before landfall to 2 weeks after landfall (September 3-24), an additional estimated $2.41 million was spent on direct-care nurse staffing. In comparison to facilities that sheltered-in-place, evacuated facilities increased staffing levels of all nurse types (all p < 0.001). At landfall, evacuated facilities spent an estimated $93.74 on nurse staffing per resident whereas facilities that sheltered-in-place spent $76.10 on nurse staffing per resident.ConclusionNHs face unprecedented challenges during hurricanes, including maintaining adequate direct-care nurse staffing levels to meet the needs of their residents. NHs that evacuated residents had an increase in direct-care nurse staffing that was greater than that seen in NHs that sheltered-in-place.

Project description:ImportanceNursing home residents are at heightened risk for morbidity and mortality following an exposure to a disaster such as a hurricane or the COVID19 pandemic. Previous research has shown that nursing home resident mortality related to disasters is frequently underreported. There is a need to better understand the consequences of disasters on nursing home residents and to differentiate vulnerability based on patient characteristics.ObjectiveTo evaluate mortality and morbidity associated with exposure to Hurricane Irma, a Category 4 storm that made landfall on September 10, 2017, in Cudjoe Key, Florida, among short-stay (<90-day residence) and long-stay (≥90-day residence) residents of nursing homes.Design, setting, and participantsCohort study of Florida nursing home residents comparing residents exposed to Hurricane Irma in September 2017 to a control group of residents residing at the same nursing homes over the same time period in calendar year 2015. Data were analyzed from August 28, 2019, to July 22, 2020.ExposureResidents who experienced Hurricane Irma were considered exposed; those who did not were considered unexposed.Main outcome and measuresOutcome variables included 30-day and 90-day mortality and first hospitalizations after the storm in both the short term and the long term.ResultsA total of 61 564 residents who were present in 640 Florida nursing home facilities on September 7, 2017, were identified. A comparison cohort of 61 813 residents was evaluated in 2015. Both cohorts were mostly female (2015, 68%; 2017, 67%), mostly White (2015, 79%; 2017, 78%), and approximately 40% of the residents in each group were over the age of 85 years. Compared with the control group in 2015, an additional 262 more nursing home deaths were identified at 30 days and 433 more deaths at 90 days. The odds of a first hospitalization for those exposed (vs nonexposed) were 1.09 (95% CI, 1.05-1.13) within the first 30 days after the storm and 1.05 (95% CI, 1.02-1.08) at 90 days; the odds of mortality were 1.12 (95% CI, 1.05-1.18) at 30 days and 1.07 (95% CI, 1.03-1.11) at 90 days. Among long-stay residents, the odds of mortality for those exposed to Hurricane Irma were 1.18 (95% CI, 1.08-1.29) times those unexposed and the odds of hospitalization were 1.11 (95% CI, 1.04-1.18) times those unexposed in the post 30-day period.Conclusions and relevanceThe findings of this study suggest that nursing home residents are at considerable risk to the consequences of disasters. These risks may be underreported by state and federal agencies. Long-stay residents, those who have resided in a nursing home for 90 days or more, may be most vulnerable to the consequences of hurricane disasters.

Project description:ImportanceExposure to hurricanes is associated with increased mortality and morbidity in nursing home (NH) residents, but the factors contributing to these outcomes are less understood. One hypothesized pathway could be power outages from hurricanes that expose NH residents to excess ambient heat.ObjectiveTo determine the association of power loss from Hurricane Irma with hospitalization and mortality in NH residents in Florida.Design setting and participantsThis retrospective cohort study of NH residents residing in Florida when Hurricane Irma landed on September 10, 2017, assessed mortality at 7 and 30 days after the storm and hospitalization at 30 days after the storm. The analysis was conducted from May 2, 2021, to June 28, 2021. All NH residents residing in Florida at landfall were eligible (N = 67 273). We excluded those younger than 65 years, missing power status information, or who were evacuated (13 178 [19.6%]).ExposureWe used state-administered surveys to determine NH power outage status. Exposed residents experienced a power outage poststorm, whereas unexposed residents did not experience a power outage poststorm.Main outcomes and measuresWe used Medicare claims to assess mortality and hospitalization after Hurricane Irma landfall using generalized linear models with robust standard errors.ResultsIn the aftermath of Hurricane Irma, 27 892 residents (18 510 women [66.4%]; 3906 [14.0%] Black, 1651 [5.9%] Hispanic, and 21 756 [78.0%] White individuals) in 299 NHs were exposed to power loss and 26 203 residents (17 620 women [67.2%]; 4175 [15.9%] Black, 1030 [3.9%] Hispanic, and 20 477 [78.1%] White individuals) in 292 NHs were unexposed. Nursing homes that lost power were similar in size, quality star rating, and type of ownership compared with NHs that did not lose power. Power loss was associated with an increased adjusted odds of mortality among all residents within 7 days (odds ratio [OR],1.25; 95% CI,1.05-1.48) and 30 days (OR, 1.12; 95% CI,1.02-1.23) poststorm and hospitalization within 30 days, although only among residents aged 65 to 74 years (OR, 1.16; 95% CI, 1.03-1.33).Conclusions and relevanceIn this cohort study, power loss was associated with higher odds of mortality in all affected NH residents and hospitalization in some residents. The benefits and costs of policies that require NHs to have emergency alternate power sources should be assessed.

Project description:ObjectivesTo investigate the factors associated with whether assisted living communities (ALCs) in Florida evacuated or sheltered in place for Hurricane Irma in 2017, focusing on license type as a proxy for acuity of care.DesignCross-sectional study using data collected by the state through its emergency reporting system and a post-hurricane survey.Setting and participantsAnalyses included all 3112 ALCs in the emergency reporting system. A subset of 1880 that completed the survey provided supplementary data.Methodsχ2 tests were used to examine differences between ALC characteristics (license type, size, payment, profit status, rural location, geographical region, and being under an evacuation order) and whether they evacuated. Logistic regression was used to test associations between characteristics and evacuation status.ResultsOf 3112 ALCs, 560 evacuated and 2552 sheltered in place. Bivariate analysis found significant associations between evacuation status and evacuation order, license type (mental health care), payment, and region. In the adjusted analysis, medium and larger ALCs were 43% (P < .001) and 53% (P < .001) less likely to evacuate than ALCs with fewer than 25 beds. Compared with ALCs in the Southeast, nearly every region was more likely to evacuate, with the highest likelihood in the Central West (odds ratio 1.76, 95% confidence interval 1.35‒2.30). ALCs under an evacuation order were 8 times more likely to evacuate (P < .001). We found no relationship between evacuation status and having a license to provide higher care.Conclusions and implicationsPrior research highlighting harm associated with evacuation has led to recommendations that long-term care facilities carefully consider resident impairment in evacuation decision-making. Evidence that small ALCs are more likely to evacuate and that having a higher-care license is not associated with evacuation likelihood shows research is needed to understand how ALCs weigh resident risks in decisions to evacuate or shelter in place.

Dataset Information

Altered hippocampal microstructure and function in children who experienced Hurricane Irma.

Publications

Altered hippocampal microstructure and function in children who experienced Hurricane Irma.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets