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  1. Article: Sidebar: Place-based Differences in Life Expectancy.

    Sugg, Margaret M / Andersen, Lauren M / Runkle, Jennifer D

    North Carolina medical journal

    2023  Volume 83, Issue 5, Page(s) 325–326

    MeSH term(s) Humans ; Life Expectancy ; Geography, Medical
    Language English
    Publishing date 2023-05-09
    Publishing country United States
    Document type Journal Article
    ZDB-ID 422795-5
    ISSN 0029-2559
    ISSN 0029-2559
    DOI 10.18043/ncm.83.5.325
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Advancing Understanding on Greenspace and Mental Health in Young People.

    Ryan, Sophia C / Sugg, Margaret M / Runkle, Jennifer D / Thapa, Bhuwan

    GeoHealth

    2024  Volume 8, Issue 3, Page(s) e2023GH000959

    Abstract: Mental distress among young people has increased in recent years. Research suggests that greenspace may benefit mental health. The objective of this exploratory study is to further understanding of place-based differences (i.e., urbanity) in the ... ...

    Abstract Mental distress among young people has increased in recent years. Research suggests that greenspace may benefit mental health. The objective of this exploratory study is to further understanding of place-based differences (i.e., urbanity) in the greenspace-mental health association. We leverage publicly available greenspace data sets to operationalize greenspace quantity, quality, and accessibility metrics at the community-level. Emergency department visits for young people (ages 24 and under) were coded for: anxiety, depression, mood disorders, mental and behavioral disorders, and substance use disorders. Generalized linear models investigated the association between greenspace metrics and community-level mental health burden; results are reported as prevalence rate ratios (PRR). Urban and suburban communities with the lowest quantities of greenspace had the highest prevalence of poor mental health outcomes, particularly for mood disorders in urban areas (PRR: 1.19, 95% CI: 1.16-1.21), and substance use disorders in suburban areas (PRR: 1.35, 95% CI: 1.28-1.43). In urban, micropolitan, and rural/isolated areas further distance to greenspace was associated with a higher prevalence of poor mental health outcomes; this association was most pronounced for substance use disorders (PRRUrban: 1.31, 95% CI: 1.29-1.32; PRRMicropolitan: 1.47, 95% CI: 1.43-1.51; PRRRural 2.38: 95% CI: 2.19-2.58). In small towns and rural/isolated communities, poor mental health outcomes were more prevalent in communities with the worst greenspace quality; this association was most pronounced for mental and behavioral disorders in small towns (PRR: 1.29, 95% CI: 1.24-1.35), and for anxiety disorders in rural/isolated communities (PRR: 1.61, 95% CI: 1.43-1.82). The association between greenspace metrics and mental health outcomes among young people is place-based with variations across the rural-urban continuum.
    Language English
    Publishing date 2024-03-07
    Publishing country United States
    Document type Journal Article
    ISSN 2471-1403
    ISSN (online) 2471-1403
    DOI 10.1029/2023GH000959
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: Association between urban greenspace, tree canopy cover and intentional deaths: An exploratory geospatial analysis.

    Ryan, Sophia C / Sugg, Margaret M / Runkle, Jennifer D

    Urban forestry & urban greening

    2023  Volume 86

    Abstract: Greenspaces can provide restorative experiences, offer opportunities for outdoor recreation, and reduce mental fatigue; all of which may improve community health and safety. Yet few studies have examined the neighborhood-level benefits of greenspace in ... ...

    Abstract Greenspaces can provide restorative experiences, offer opportunities for outdoor recreation, and reduce mental fatigue; all of which may improve community health and safety. Yet few studies have examined the neighborhood-level benefits of greenspace in reducing violent deaths. This study explored the association between three distinct greenspace metrics: public greenspace quantity, public greenspace accessibility, neighborhood tree canopy cover, and intentional deaths (i.e., homicides and suicides). Generalized linear models and spatial error models investigated the association between greenspace, tree canopy and intentional deaths in three geographically distinct cities in North Carolina. Results revealed that increased neighborhood greenspace accessibility and tree canopy cover were associated with reduced intentional deaths in all three urban areas. Neighborhood greenspace accessibility was the most protective factor across all study areas. The relationship between neighborhood greenspace accessibility and intentional deaths was more significant for non-firearm deaths as compared to firearm deaths, indicating that weapon type may be an important consideration for neighborhood greenspace interventions. Compared to predominantly White neighborhoods, predominantly Black neighborhoods had higher rates of homicide in Asheville and Durham and higher rates of suicide in Charlotte. Future policy and research should focus on improving equitable access to existing and future greenspaces, especially in primarily Black neighborhoods.
    Language English
    Publishing date 2023-06-28
    Publishing country Germany
    Document type Journal Article
    ISSN 1618-8667
    ISSN 1618-8667
    DOI 10.1016/j.ufug.2023.128015
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Short-term exposure to temperature and mental health in North Carolina: a distributed lag nonlinear analysis.

    Minor, Tyler / Sugg, Margaret / Runkle, Jennifer D

    International journal of biometeorology

    2023  Volume 67, Issue 4, Page(s) 573–586

    Abstract: Adverse mental health outcomes have been associated with high temperatures in studies worldwide. Few studies explore a broad range of mental health outcomes, and to our knowledge, none are specific to NC, USA. This ecological study explored the ... ...

    Abstract Adverse mental health outcomes have been associated with high temperatures in studies worldwide. Few studies explore a broad range of mental health outcomes, and to our knowledge, none are specific to NC, USA. This ecological study explored the relationship between ambient temperature and mental health outcomes (suicide, self-harm and suicide ideation, anxiety and stress, mood disorders, and depression) in six urban counties across the state of NC, USA. We applied a quasi-Poisson generalized linear model combined with a distributed lag nonlinear model (DLNM) to examine the short-term effects of daily ambient temperature on emergency admissions for mental health conditions (2016 to 2018) and violent deaths (2004 to 2018). The results were predominately insignificant, with some key exceptions. The county with the greatest temperature range (Wake) displays higher levels of significance, while counties with the lowest temperature ranges (New Hanover and Pitt) are almost entirely insignificant. Self-harm and suicidal ideation peak in the warm months (July) and generally exhibit a protective effect at lower temperatures and shorter lag intervals. Whereas anxiety, depression, and major depressive disorders peak in the cooler months (May and September). Suicide is the only outcome that favored a 20-day lag period in the sensitivity analysis, although the association with temperature was insignificant. Our findings suggest additional research is needed across a suite of mental health outcomes to fully understand the effects of temperatures on mental health.
    MeSH term(s) Humans ; Temperature ; Mental Health ; North Carolina/epidemiology ; Depressive Disorder, Major ; Hot Temperature
    Language English
    Publishing date 2023-02-13
    Publishing country United States
    Document type Journal Article
    ZDB-ID 280324-0
    ISSN 1432-1254 ; 0020-7128
    ISSN (online) 1432-1254
    ISSN 0020-7128
    DOI 10.1007/s00484-023-02436-0
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Long-term health effects of wildfire exposure

    Emily Grant / Jennifer D. Runkle

    The Journal of Climate Change and Health, Vol 6, Iss , Pp 100110- (2022)

    A scoping review

    2022  

    Abstract: Wildfires pose a number of acute and chronic health threats, including increased morbidity and mortality. While much of the current literature has focused on the short-term health effects of forest fires and wildfire smoke, few reviews have sought to ... ...

    Abstract Wildfires pose a number of acute and chronic health threats, including increased morbidity and mortality. While much of the current literature has focused on the short-term health effects of forest fires and wildfire smoke, few reviews have sought to understand their long-term impact on human health. This scoping review aims to map the state of evidence as it pertains to the long-term health effects of wildfires, including physical health, mental health, and healthcare costs. A literature search identified 17 research studies meeting inclusion and review criteria. Descriptive and thematic analyses were conducted and synthesized in a narrative form for the following health topics: premature mortality; increased morbidity including respiratory disease, cardiovascular disease, cancer, mental health, and other health outcomes; and health-related economic outcomes or healthcare costs. The resulting evidence revealed limited papers, many of which were of low or mixed quality, that pointed to increased population-level mortality due to wildfire exposure and increased respiratory morbidity. While the results of lung cancer research were mixed, exposure to PM2.5 and chemicals in wildfire smoke were correlated with an increased risk of cancer of all types. Future research should include prospective longitudinal studies and collection of demographic information to assess the impacts of wildfires on the most vulnerable, expand the evidence-base for the mental health consequences of wildfire events, and include more research in low- and middle-income countries.
    Keywords Wildfire ; Climate change ; Smoke exposure ; Human health ; Public aspects of medicine ; RA1-1270 ; Meteorology. Climatology ; QC851-999
    Subject code 360
    Language English
    Publishing date 2022-05-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article ; Online: Short-term changes in mental health help-seeking behaviors following exposure to multiple social stressors and a natural disaster.

    Ryan, Sophia C / Sugg, Margaret M / Runkle, Jennifer D / Wertis, Luke / Singh, Devyani / Green, Shannon

    Social science & medicine (1982)

    2024  Volume 348, Page(s) 116843

    Abstract: In 2020, unprecedented circumstances led to significant mental health consequences. Individuals faced mental health stressors that extended beyond the devastating impact of the COVID-19 pandemic, including widespread social unrest following the murder of ...

    Abstract In 2020, unprecedented circumstances led to significant mental health consequences. Individuals faced mental health stressors that extended beyond the devastating impact of the COVID-19 pandemic, including widespread social unrest following the murder of George Floyd, an intense hurricane season in the Atlantic, and the politically divisive 2020 election. The objective of this analysis was to consider changes in help-seeking behavior following exposure to multiple social stressors and a natural disaster. Data from Crisis Text Line (CTL), a national text-based mental health crisis counseling service, was used to determine how help-seeking behavior changed in the wake of each event. Wilcoxon rank sum tests assessed changes in help-seeking behavior for each event in 2020 as compared to the same period in 2019. AutoRegressive Integrated Moving Average (ARIMA) models examined if changes in crisis conversation volumes following each event differed. Higher median conversation volumes noted for the COVID-19 pandemic (+1 to +5 conversations), Hurricane Laura (+1 to +7 conversations) and the 2020 Election (+1 to +26 conversations). ARIMA models show substantial increases in help-seeking behavior following the declaration of a national emergency for the COVID-19 pandemic (+4.3 to +38.2%) and following the 2020 election (+3 to +24.44%). Our analysis found that the mental health response following social stressors may be distinct from natural events, especially when natural disasters occur in the context of multiple social stressors. This analysis adds to the growing body of literature considering the mental health impact of exposure to multiple co-occurring societal stressors, like police violence and a global pandemic.
    MeSH term(s) Humans ; Help-Seeking Behavior ; COVID-19/psychology ; COVID-19/epidemiology ; Natural Disasters ; Stress, Psychological/psychology ; Mental Health ; Pandemics ; SARS-CoV-2
    Language English
    Publishing date 2024-04-02
    Publishing country England
    Document type Journal Article
    ZDB-ID 4766-1
    ISSN 1873-5347 ; 0037-7856 ; 0277-9536
    ISSN (online) 1873-5347
    ISSN 0037-7856 ; 0277-9536
    DOI 10.1016/j.socscimed.2024.116843
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Examining Hurricane Ida's Impact on Mental Health: Results From a Quasi-Experimental Analysis.

    Wertis, Luke / Runkle, Jennifer D / Sugg, Margaret M / Singh, Devyani

    GeoHealth

    2023  Volume 7, Issue 2, Page(s) e2022GH000707

    Abstract: Limited research has evaluated the mental health effects during compounding disasters (e.g., a hurricane occurring during a pandemic), and few studies have examined post-disaster mental health with alternative data sources like crisis text lines. This ... ...

    Abstract Limited research has evaluated the mental health effects during compounding disasters (e.g., a hurricane occurring during a pandemic), and few studies have examined post-disaster mental health with alternative data sources like crisis text lines. This study examined changes in crisis help-seeking for individuals in Louisiana, USA, before and after Hurricane Ida (2021), a storm that co-occurred during the COVID-19 pandemic. An interrupted time series analysis and difference-in-difference analysis for single and multiple group comparisons were used to examine pre-and post-changes in crisis text volume (i.e., any crisis text, substance use, thoughts of suicide, stress/anxiety, and bereavement) among help-seeking individuals in communities that received US Federal Emergency Management Agency individual and public assistance following a presidential disaster declaration. Results showed a significant increase in crisis texts for any reason, thoughts of suicide, stress/anxiety, and bereavement in the four-week, three-month, and four-month post-impact period. Findings highlight the need for more mental health support for residents directly impacted by disasters like Hurricane Ida.
    Language English
    Publishing date 2023-02-07
    Publishing country United States
    Document type Journal Article
    ISSN 2471-1403
    ISSN (online) 2471-1403
    DOI 10.1029/2022GH000707
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Socio-Environmental Determinants of Mental and Behavioral Disorders in Youth: A Machine Learning Approach.

    Wertis, Luke / Sugg, Margaret M / Runkle, Jennifer D / Rao, Douglas

    GeoHealth

    2023  Volume 7, Issue 9, Page(s) e2023GH000839

    Abstract: Growing evidence indicates that extreme environmental conditions in summer months have an adverse impact on mental and behavioral disorders (MBD), but there is limited research looking at youth populations. The objective of this study was to apply ... ...

    Abstract Growing evidence indicates that extreme environmental conditions in summer months have an adverse impact on mental and behavioral disorders (MBD), but there is limited research looking at youth populations. The objective of this study was to apply machine learning approaches to identify key variables that predict MBD-related emergency room (ER) visits in youths in select North Carolina cities among adolescent populations. Daily MBD-related ER visits, which totaled over 42,000 records, were paired with daily environmental conditions, as well as sociodemographic variables to determine if certain conditions lead to higher vulnerability to exacerbated mental health disorders. Four machine learning models (i.e., generalized linear model, generalized additive model, extreme gradient boosting, random forest) were used to assess the predictive performance of multiple environmental and sociodemographic variables on MBD-related ER visits for all cities. The best-performing machine learning model was then applied to each of the six individual cities. As a subanalysis, a distributed lag nonlinear model was used to confirm results. In the all cities scenario, sociodemographic variables contributed the greatest to the overall MBD prediction. In the individual cities scenario, four cities had a 24-hr difference in the maximum temperature, and two of the cities had a 24-hr difference in the minimum temperature, maximum temperature, or Normalized Difference Vegetation Index as a leading predictor of MBD ER visits. Results can inform the use of machine learning models for predicting MBD during high-temperature events and identify variables that affect youth MBD responses during these events.
    Language English
    Publishing date 2023-09-13
    Publishing country United States
    Document type Journal Article
    ISSN 2471-1403
    ISSN (online) 2471-1403
    DOI 10.1029/2023GH000839
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Mapping high-risk clusters and identifying place-based risk factors of mental health burden in pregnancy.

    Ulrich, Sarah E / Sugg, Margaret M / Ryan, Sophia C / Runkle, Jennifer D

    SSM. Mental health

    2023  Volume 4

    Abstract: Purpose: Despite affecting up to 20% of women and being the leading cause of preventable deaths during the perinatal and postpartum period, maternal mental health conditions are chronically understudied. This study is the first to identify spatial ... ...

    Abstract Purpose: Despite affecting up to 20% of women and being the leading cause of preventable deaths during the perinatal and postpartum period, maternal mental health conditions are chronically understudied. This study is the first to identify spatial patterns in perinatal mental health conditions, and relate these patterns to place-based social and environmental factors that drive cluster development.
    Methods: We performed spatial clustering analysis of emergency department (ED) visits for perinatal mood and anxiety disorders (PMAD), severe mental illness (SMI), and maternal mental disorders of pregnancy (MDP) using the Poisson model in SatScan from 2016 to 2019 in North Carolina. Logistic regression was used to examine the association between patient and community-level factors and high-risk clusters.
    Results: The most significant spatial clustering for all three outcomes was concentrated in smaller urban areas in the western, central piedmont, and coastal plains regions of the state, with odds ratios greater than 3 for some cluster locations. Individual factors (e.g., age, race, ethnicity) and contextual factors (e.g., racial and socioeconomic segregation, urbanity) were associated with high risk clusters.
    Conclusions: Results provide important contextual and spatial information concerning at-risk populations with a high burden of maternal mental health disorders and can better inform targeted locations for the expansion of maternal mental health services.
    Language English
    Publishing date 2023-10-06
    Publishing country England
    Document type Journal Article
    ISSN 2666-5603
    ISSN (online) 2666-5603
    DOI 10.1016/j.ssmmh.2023.100270
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article: A Difference-In Difference Analysis of the South Carolina 2015 Extreme Floods and the Association with Maternal Health.

    Sugg, Maggie M / Runkle, Jennifer D / Ryan, Sophie / Wertis, Luke

    International journal of disaster risk reduction : IJDRR

    2023  Volume 97

    Abstract: Research documenting the public health impacts of natural disasters often focuses on adults and children. Little research has examined the influence of extreme events, like floods, on maternal health, and less has examined the effect of disasters on ... ...

    Abstract Research documenting the public health impacts of natural disasters often focuses on adults and children. Little research has examined the influence of extreme events, like floods, on maternal health, and less has examined the effect of disasters on maternal indicators like severe maternal morbidity (SMM) or unexpected outcomes of labor and delivery that result in significant short-or long-term consequences to a woman's health. The aim of this study is to identify the impacts of the 2015 flood events on maternal health outcomes in South Carolina, USA. We employ a quasi-experimental design using a difference-in-difference analysis with log-binomial regressions to evaluate maternal outcomes for impacted and control locations during the disaster event. Unlike previous studies, we extended our difference-in-difference analysis to include a trimester of exposure to assess the timing of flood exposure. We did not find evidence of statistically significant main effects on maternal health from the 2015 flood events related to preterm birth, gestational diabetes, mental disorders of pregnancy, depression, and generalized anxiety. However, we did find a statistically significant increase in SMM and low birth weight during the flood event for women in select trimester periods who were directly exposed. Our work provides new evidence on the effects of extreme flood events, like the 2015 floods, which can impact maternal health during specific exposure periods of pregnancy. Additional research is needed across other extreme weather events, as the unique context of the 2015 floods limits the generalizability of our findings.
    Language English
    Publishing date 2023-09-29
    Publishing country England
    Document type Journal Article
    ZDB-ID 2695877-6
    ISSN 2212-4209
    ISSN 2212-4209
    DOI 10.1016/j.ijdrr.2023.104037
    Database MEDical Literature Analysis and Retrieval System OnLINE

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