Implementation of Multi-level Interventions to Mitigate Risk of SARS-CoV-2 Delta Variant at a PUBLIC UNIVERSITY in Southern United States.

During the coronavirus disease 2019 (COVID-19) pandemic, navigating the implementation of public health measures in a politically charged environment for a large state entity was challenging. However, Louisiana State University (LSU) leadership developed and deployed an effective, multi-layered mitigation plan and successfully opened in-person learning while managing cases of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) during the fourth surge. We describe the plan to provide a framework for other institutions during this and future responses. The goals were 3-fold: maintain a quality learning environment, mitigate risk to the campus community, and ensure that LSU operations did not contribute to health-care stress. As of September 2022, LSU has achieved high compliance with interventions and relatively low virus activity on campus compared with peer institutions. This university model can serve as a template for similar implementation plans in the context of complex socio-political and economic considerations.

Neighborhood deprivation and risk of mortality among men with prostate cancer: Findings from a long-term follow-up study.

BACKGROUND: The overall survival rate of prostate cancer (PCa) has improved over the past decades. However, huge socioeconomic and racial disparities in overall and prostate cancer-specific mortality exist. The neighborhood-level factors including socioeconomic disadvantage and lack of access to care may contribute to disparities in cancer mortality. This study examines the impact of neighborhood deprivation on mortality among PCa survivors. METHODS: North Carolina-Louisiana Prostate Cancer Project (PCaP) data were used. A total of 2113 men, 1046 AA and 1067 EA, with PCa were included in the analysis. Neighborhood deprivation was measured by the Area Deprivation Index (ADI) at the census block group level using data from the US Census Bureau. Quintiles of ADI were created. Cox proportional hazards and competing risk models with mixed effects were performed to estimate the effect of neighborhood deprivation on all-cause and PCa-specific mortality adjusted for age, race, study site, insurance status, and comorbidities. RESULTS: Participants living in the most deprived neighborhoods had an increased risk for all-cause mortality (quintiles 4 + 5: adjusted hazard ratio [aHR] = 1.51, 95% confidence interval [CI] = 1.16-1.96) compared to those in the least deprived (quintile 1) neighborhoods. The risk of prostate cancer-specific mortality was also higher among those living in the deprived neighborhoods (quintiles 4 + 5: aHR = 1.90, 95% CI = 1.10-3.50) than those in the least deprived neighborhood. CONCLUSIONS: The findings suggest neighborhood-level resources or health interventions are essential to improve survival among men with PCa. Additional research should focus on the mechanisms of how the neighborhood environment affects mortality.

Impact of diabetes and modifiable risk factors on pancreatic cancer survival in a population-based study after adjusting for clinical factors.

PURPOSES: Our study aimed to examine the impact of diabetes, smoking and BMI on pancreatic cancer survival in a population-based setting by adjusting both sociodemographic and clinical factors and measuring their attributable risk. METHODS: Data on pancreatic adenocarcinoma patients diagnosed in 2011-2017 were acquired from the Louisiana Tumor Registry. Diabetes, smoking, height, and weight were abstracted from medical records and linked with Hospital Inpatient Discharge Data to enhance the completeness of the diabetes data. The Cox regression model was used to assess effect sizes of diabetes, smoking, and BMI on cancer-specific survival and survival rate. The partial population attributable risk was employed to measure the attributable risk of these risk factors. RESULTS: Of the 3,200 eligible patients, 34.6% were diabetics, 23.9% were current smokers, and 52.3% had BMI ≥ 25 kg/m2. After adjusting for sociodemographic and clinical factors, diabetic patients had an increased cancer-specific death risk of 15% (95% CI, 1.06-1.25), 36% (95% CI, 1.19-1.44) for current smokers, and 24% (95% CI, 1.00-1.54) for patients with a BMI ≥ 40 when compared to their counterparts. Diabetic current smokers had significantly lower 2- and 3-year adjusted cancer-specific survival rates, 13.1% and 10.5%, respectively. By eliminating diabetes and modifiable risk factors, an estimated 16.6% (95% CI, 6.9%-25.9%) of the cancer-specific deaths could be avoided during a nine-year observational period between 2011 and 2019. CONCLUSIONS: Diabetes and smoking contributed substantially to the reduction of pancreatic cancer survival even after controlling for sociodemographic and clinical factors; however, BMI ≥ 35 was observed to increase risk of mortality among stage III-IV patients only.

Association Between the 5As and Stage of Change Among African American Smokers Eligible for Low-Dose Computed Tomography Screening.

We investigated the association between the 5As (Ask, Advise, Assess, Assist, and Arrange) clinical protocol and stage of change among African American smokers who are eligible for low-dose computed tomography screening. In 2019, 60 African American daily smokers aged 55 years or older were recruited in a large hospital in New Orleans, Louisiana. Smokers who received assistance for smoking cessation were more likely to be in the preparation stage than those who did not receive any assistance. Assistance from health professionals is an essential form of support and may substantially enhance smokers' motivation to quit smoking in this population that is at higher risk for mortality from lung cancer.

Utilizing SEER Cancer Registries for Population-Based Cancer Survivor Epidemiologic Studies: A Feasibility Study.

BACKGROUND: While the primary role of central cancer registries in the United States is to provide vital information needed for cancer surveillance and control, these registries can also be leveraged for population-based epidemiologic studies of cancer survivors. This study was undertaken to assess the feasibility of using the NCI's Surveillance, Epidemiology, and End Results (SEER) Program registries to rapidly identify, recruit, and enroll individuals for survivor research studies and to assess their willingness to engage in a variety of research activities. METHODS: In 2016 and 2017, six SEER registries recruited both recently diagnosed and longer-term survivors with early age-onset multiple myeloma or colorectal, breast, prostate, or ovarian cancer. Potential participants were asked to complete a survey, providing data on demographics, health, and their willingness to participate in various aspects of research studies. RESULTS: Response rates across the registries ranged from 24.9% to 46.9%, with sample sizes of 115 to 239 enrolled by each registry over a 12- to 18-month period. Among the 992 total respondents, 90% answered that they would be willing to fill out a survey for a future research study, 91% reported that they would donate a biospecimen of some type, and approximately 82% reported that they would consent to have their medical records accessed for research. CONCLUSIONS: This study demonstrated the feasibility of leveraging SEER registries to recruit a geographically and racially diverse group of cancer survivors. IMPACT: Central cancer registries are a source of high-quality data that can be utilized to conduct population-based cancer survivor studies.

PTSD symptom profiles among Louisiana women affected by the 2010 Deepwater Horizon Oil Spill: A latent profile analysis.

BACKGROUND: Few prior studies have investigated the latent class structure of PTSD using DSM-5 symptoms. METHODS: To describe latent PTSD profiles among women who resided in Deepwater Horizon Oil Spill (DHOS)-affected coastal Louisiana communities, we used data from women enrolled in The Women and Their Children's Health (WaTCH) Study. Latent profile analysis was performed on the 20-item PTSD Checklist for DSM-5 (PCL-5) and model fit statistics for 2-class through 6-class solutions were compared. The pseudo-class draws method was employed on the best class solution to compare key covariates (including demographics, mental health indicators, DHOS exposure indicators, and trauma exposures) across classes. RESULTS: Among 1997 women (mean age 46.63 ± 12.14 years, 56.8% white, mean trauma categories 6.09 ± 2.98, 9.55% previously diagnosed with PTSD), model fit statistics supported a five-class solution: low symptoms (mean PCL-5 = 4.10), moderate without mood alterations (mean = 19.73), moderate with mood alterations (mean = 34.24), severe without risk-taking (mean = 55.75), and severe with risk-taking (mean = 53.80). Women in the low-symptom class were significantly more likely to be white, have finished high school, have an income of at least $40,001 per year, be married or living with a partner, and endorse fewer trauma categories than women in the four symptomatic classes. Women with moderate to severe symptoms often had co-morbid depressive symptoms and no prior PTSD diagnosis. LIMITATIONS: This study was limited by use of self-reported data and one-time assessment of PTSD symptoms. DISCUSSION: Five distinct latent profiles of DSM-5 PTSD symptoms consisted of notably different individuals. Most affected women did not report prior PTSD diagnosis. Future research and practice identifying and addressing barriers to care for trauma-affected women in these communities is warranted.

The Long-Term Effects of the Deepwater Horizon Oil Spill on Women's Depression and Mental Distress.

OBJECTIVE: The purpose of the study is to describe changes in mental health among women following an oil spill and to examine their association with the Deepwater Horizon oil spill (DHOS). METHODS: The Women and Their Children's Health study followed 2038 women in Louisiana after the DHOS. Subjects were interviewed in 2012-2014 and 2014-2016. Oil spill exposure was characterized using survey items about economic and physical exposures. Outcomes were depressive symptoms and mental distress. RESULTS: After adjustment for relevant demographics, depressive symptoms increased over 2 time points following the DHOS, whereas symptoms of mental distress decreased. For every year increase in time since the DHOS, the rate ratio for depressive symptoms increased by a factor of 1.08. In contrast, the rate ratio for mental distress decreased by a factor of 0.97. In addition, initial associations between economic and physical exposure to the DHOS persisted up to 6 years after the spill; women who were more highly exposed experienced higher levels of depressive symptoms (rate ratios ranged from 1.08 to 1.11) and mental distress (rate ratios from 1.05 to 1.11) at each time point than women who were less exposed. CONCLUSION: A better understanding of recovery patterns following an oil spill can help direct critical mental health response efforts. (Disaster Med Public Health Preparedness. 2019;13:183-190).

Using the emergency department to investigate smoking in young adults.

PURPOSE: Smoking in young adults identifies the population at risk for future tobacco-related disease. We investigated smoking in a young adult population and within high-risk groups using emergency department (ED) data in a metropolitan area. METHODS: Using the electronic health record, we performed a retrospective study of smoking in adults aged 18-30 years presenting to the ED. RESULTS: Smoking status was available for 55,777 subjects (90.9% of the total ED cohort); 60.8% were women, 55.0% were black, 35.3% were white, and 8.1% were Hispanic; 34.4% were uninsured. Most smokers used cigarettes (95.1%). Prevalence of current smoking was 21.7% for women and 42.5% for men. The electronic health record contains data about diagnosis and social history that can be used to investigate smoking status for high-risk populations. Smoking prevalence was highest for substance use disorder (58.0%), psychiatric illness (41.3%) and alcohol use (39.1%), and lowest for pregnancy (13.5%). In multivariable analyses, male gender, white race, lack of health insurance, alcohol use, and illicit drug use were independently associated with smoking. Smoking risk among alcohol and drug users varied by gender, race, and/or age. CONCLUSIONS: The ED provides access to a large, demographically diverse population, and supports investigation of smoking risk in young adults.

Neighborhood Environment Measurements and Anthropometric Indicators of Obesity: Results from the Women and Their Children's Health (WaTCH) Study.

We compared geographic information system (GIS)- and Census-based approaches for measuring the physical and social neighborhood environment at the census tract-level versus and audit approach on associations with body mass index (BMI), waist circumference (WC), and waist-to-hip ratio (WHR). Data were used from the 2012-2014 Women and Their Children's Health (WaTCH) Study (n=940). Generalized linear models were used to obtain odds ratios (ORs) for BMI (≥30 kg/m2), WC (>88 cm), and WHR (>0.85). Using an audit approach, more adverse neighborhood characteristics were associated with a higher odds of WC (OR: 1.10; 95% CI: 1.05, 1.15) and WHR (OR: 1.09; 95% CI: 1.05, 1.14) after adjustment for age, race/ethnicity, income, and oil spill exposure. There were no significant associations between GIS- and Census- based measures with obesity in adjusted models. Quality aspects of the neighborhood environment captured by audits at the individual-level may be more relevant to obesity than physical or social aspects at the census-tract level.

Community Resilience Learning Collaborative and Research Network (C-LEARN): Study Protocol with Participatory Planning for a Randomized, Comparative Effectiveness Trial.

This manuscript presents the protocol and participatory planning process for implementing the Community Resilience Learning Collaborative and Research Network (C-LEARN) study. C-LEARN is designed to determine how to build a service program and individual client capacity to improve mental health-related quality of life among individuals at risk for depression, with exposure to social risk factors or concerns about environmental hazards in areas of Southern Louisiana at risk for events such as hurricanes and storms. The study uses a Community Partnered Participatory Research (CPPR) framework to incorporate community priorities into study design and implementation. The first phase of C-LEARN is assessment of community priorities, assets, and opportunities for building resilience through key informant interviews and community agency outreach. Findings from this phase will inform the implementation of a two-level (program-level and individual client level) randomized study in up to four South Louisiana communities. Within communities, health and social-community service programs will be randomized to Community Engagement and Planning (CEP) for multi-sector coalition support or Technical Assistance (TA) for individual program support to implement evidence-based and community-prioritized intervention toolkits, including an expanded version of depression collaborative care and resources (referrals, manuals) to address social risk factors such as financial or housing instability and for a community resilience approach to disaster preparedness and response. Within each arm, the study will randomize individual adult clients to one of two mobile applications that provide informational resources on services for depression, social risk factors, and disaster response or also provide psychoeducation on Cognitive Behavioral Therapy to enhance coping with stress and mood. Planned data collection includes baseline, six-month and brief monthly surveys for clients, and baseline and 12-month surveys for administrators and staff.

The Women and Their Children's Health (WaTCH) study: methods and design of a prospective cohort study in Louisiana to examine the health effects from the BP oil spill.

PURPOSE: The Deepwater Horizon Oil Spill is the largest marine oil spill in US history. Few studies have evaluated the potential health effects of this spill on the Gulf Coast community. The Women and Their Children's Health (WaTCH) study is a prospective cohort designed to investigate the midterm to long-term physical, mental and behavioural health effects of exposure to the oil spill. PARTICIPANTS: Women were recruited by telephone from pre-existing lists of individuals and households using an address-based sampling frame between 2012 and 2014. Baseline interviews obtained information on oil spill exposure, demographics, physical and mental health, and health behaviours. Women were also asked to provide a household roster, from which a child between 10 and 17 years was randomly selected and recruited into a child substudy. Telephone respondents were invited to participate in a home visit in which blood samples, anthropometrics and neighbourhood characteristics were measured. A follow-up interview was completed between 2014 and 2016. FINDINGS TO DATE: 2852 women completed the baseline interview, 1231 of whom participated in the home visit, and 628 children participated in the child's health substudy. The follow-up interview successfully reinterviewed 2030 women and 454 children. FUTURE PLANS: WaTCH continues to conduct follow-up surveys, with a third wave of interviews planned in 2017. Also, we are looking to enhance the collection of spatially related environmental data to facilitate assessment of health risks in the study population. In addition, opportunities to participate in behavioural interventions for subsets of the cohort have been initiated. There are ongoing studies that examine the relationship between genetic and immunological markers with mental health.

Individual-level exposure to disaster, neighborhood environmental characteristics, and their independent and combined associations with depressive symptoms in women.

PURPOSE: The severity of the stress response to experiencing disaster depends on individual exposure and background stress prior to the event. To date, there is limited research on the interaction between neighborhood environmental stress and experiencing an oil spill, and their effects on depression. The objective of the current study was to assess if the association between exposure to the Deepwater Horizon Oil Spill (DHOS) and depressive symptoms varied by neighborhood characteristics. METHODS: US Census data (2010) and longitudinal data collected in two waves (2012-2014 and 2014-2016) from female residents [N = 889 (Wave I), 737 (Wave II)] of an area highly affected by the DHOS were analyzed. Multilevel and individual-level negative binomial regressions were performed to estimate associations with depressive symptoms in both waves. An interaction term was included to estimate effect modification of the association between DHOS exposure and depressive symptoms by neighborhood characteristics. Generalized estimating equations were applied to the negative binomial regression testing longitudinal associations. RESULTS: Census tract-level neighborhood characteristics were not associated with depressive symptoms. Exposure to the DHOS and neighborhood physical disorder were associated with depressive symptoms cross-sectionally. There was no evidence of effect modification; however, physical/environmental exposure to the DHOS was associated with increased depressive symptoms only among women living in areas with physical disorder. Exposure to the DHOS remained associated with depressive symptoms over time. CONCLUSIONS: Findings support the enduring consequences of disaster exposure on depressive symptoms in women and identify potential targets for post-disaster intervention based on residential characteristics.

Untangling the disaster-depression knot: The role of social ties after Deepwater Horizon.

The mental health consequences of disasters, including oil spills, are well known. The goal of this study is to examine whether social capital and social support mediate the effects of exposure to the Deepwater Horizon oil spill on depression among women. Data for the analysis come from the first wave of data collection for the Women and Their Children's Health Study, a longitudinal study of the health effects of women exposed to the oil spill in southern Louisiana, USA. Women were interviewed about their exposure to the oil spill, depression symptoms, structural social capital (neighborhood organization participation), cognitive social capital (sense of community and informal social control), and social support. Structural equation models indicated that structural social capital was associated with increased levels of cognitive social capital, which were associated with higher levels of social support, which in turn were associated with lower levels of depression. Physical exposure to the oil spill was associated with greater economic exposure, which in turn was associated with higher levels of depression. When all variables were taken into account, economic exposure was no longer associated with depression, and social support and cognitive social capital mediated the effect of economic exposure on depression, explaining 67% of the effect. Findings support an extension of the deterioration model of social support to include the additional coping resource of social capital. Social capital and social support were found to be beneficial for depression post-oil spill; however, they were themselves negatively impacted by the oil spill, explaining the overall negative effect of the oil spill on depression. A better understanding of the pathways between the social context and depression could lead to interventions for improved mental health in the aftermath of a disaster.

Cancer Mortality in Hispanic Ethnic Groups.

Background: Cancer is the leading cause of death among Hispanics. The burden of cancer mortality within Hispanic groups has not been well quantified.Methods: Cancer mortality rates for 2008-2012 in Florida were computed on the basis of race, ethnicity, and birthplace, specifically focusing on major Hispanic groups-Mexicans, Puerto Ricans, Cubans, Central Americans, South Americans, and Dominicans. Age-adjusted mortality rate ratios derived from negative binomial regression were used to compare Hispanics, aggregated and by group, to nonHispanic whites (NHW).Results: A total of 205,369 cancer deaths from 2008-2012 were analyzed, of which 22,042 occurred in Hispanics. Overall cancer mortality rates were lower for Hispanics, 159 and 100 per 100,000 in males and females, respectively, compared with 204 and 145 per 100,000 in NHWs, largely driven by relatively low rates of lung and breast cancers among Hispanics. However, Hispanics had a higher risk of death from stomach and liver cancers, both infection-related. Of all Hispanic groups, Mexicans had the lowest mortality, whereas Cubans had the highest, with significantly higher mortality for colorectal, endometrial, and prostate cancers.Conclusions: Compared with other Hispanic groups, Cubans and Puerto Ricans had significantly higher rates. For these longer-established populations in the United States, increases in diet and obesity-related cancers are evident. Some groups show excesses that clearly fall out of the common Hispanic patterns, with implications for public health: Cubans for colorectal cancer, Puerto Ricans for liver cancer, and Dominicans for prostate cancer.Impact: Cancer mortality outcomes in Hispanics vary between ethnic groups. Research and public health strategies should consider this heterogeneity. Cancer Epidemiol Biomarkers Prev; 26(3); 376-82. ©2017 AACR.

Assessing mediation of behavioral and stress pathways in the association between neighborhood environments and obesity outcomes.

Although many studies have reported associations between characteristics of the neighborhood environment and obesity, little is understood about the pathways or mechanisms through which these associations operate. The purpose of this study was to examine possible behavioral and stress pathways hypothesized to mediate the association between neighborhood environments and obesity and whether pathways contribute to different obesity outcomes. Cross-sectional data were used from the 2012-2014 Women and Their Children's Health Study (WaTCH) in Louisiana (N = 909). Participants' neighborhoods, body mass index (BMI) and waist circumference (WC) were objectively measured. The causal inference approach to mediation analysis was used to obtain indirect estimates for self-reported measures of physical activity, low access to food, and depression. The mean BMI was 32.0 kg/m(2) and the mean WC was 98.6 cm. The (adverse) neighborhood environment was significantly associated BMI (ß = 0.17 kg/m(2); 95% Confidence Interval (CI): 0.03, 0.31) and WC (ß = 0.64; 95% CI: 0.34, 0.95, after adjusting for covariates. Neither depression, physical activity, nor low food access mediated those associations. Further research that investigates and uses better measures of the behavioral and stress pathways through which the neighborhood environment influences obesity is warranted.