194 research outputs found

    Views of addiction etiology predict religious individuals’ willingness to help.

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    Abstract Views of addiction etiology predict religious individuals’ willingness to help. Emily Brady, Valerie Hoots, Joseph Barnet, and Andrea Clements, Department of Psychology, East Tennessee State University. Addiction to drugs and alcohol is an accrescent societal problem. Individuals with substance addiction face stigma in their daily lives, specifically from religious individuals as explored in this study. The stigma these religious individuals might portray could be related to their ideas on addiction etiology. The purpose of this project is to evaluate if different views of addiction etiology predict religious individuals’ willingness to help individuals with substance addition. Our hypothesis for this sample consists of two parts. (1) Religious individuals who hold the belief of a moral etiology of addiction will be less willing to help individuals with substance addiction. (2) Religious individuals who hold the ideology of a physical etiology of addiction will be less willing to help individuals with substance addiction. A survey, which contained the Addiction Attitudes and Beliefs Scale (AABS) and the Tobacco, Alcohol, Prescription medication, and other Substance use Tool (TAPS), was administered to a sample of 215 individuals recruited through social media advertising via Facebook and Reddit platforms, email, and East Tennessee State University’s SONA research portal. Results showed significance in beliefs of moral etiology and willingness to help across religious individuals. One limitation for this project is a lack of generalizability due to the majority of participants being female (73.6%) and white (92.1%). Another limitation is that the measure is based on self-report, and given the sensitivity on the topic, individuals may not be willing to report accurately

    Functional Changes in Littoral Macroinvertebrate Communities in Response to Watershed-Level Anthropogenic Stress

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    Watershed-scale anthropogenic stressors have profound effects on aquatic communities. Although several functional traits of stream macroinvertebrates change predictably in response to land development and urbanization, little is known about macroinvertebrate functional responses in lakes. We assessed functional community structure, functional diversity (Rao’s quadratic entropy) and voltinism in macroinvertebrate communities sampled across the full gradient of anthropogenic stress in Laurentian Great Lakes coastal wetlands. Functional diversity and voltinism significantly decreased with increasing development, whereas agriculture had smaller or non-significant effects. Functional community structure was affected by watershed-scale development, as demonstrated by an ordination analysis followed by regression. Because functional community structure affects energy flow and ecosystem function, and functional diversity is known to have important implications for ecosystem resilience to further environmental change, these results highlight the necessity of finding ways to remediate or at least ameliorate these effects

    Duluth Residential Stormwater Reduction Demonstration Project for Lake Superior Tributaries

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    Minnesota Pollution Control Agency Contract Number: B10575This item is a duplicate of another record with the same title (http://hdl.handle.net/11299/187317).We used paired 2‐block street sections in the Amity Creek watershed (Duluth, MN) to demonstrate the effectiveness of homeowner BMPs to reduce residential stormwater flow to storm sewers in an older neighborhood in a cold climate on clay and bedrock geology. Runoff from each street was measured before and after installation of stormwater BMPs. In addition, the knowledge, attitudes, and practices of residents were measured before and after BMP installation. BMPs were installed on properties of willing residents of one street (“treatment”). Most residents (22 of 25 properties) willingly participated. 250 trees and shrubs were planted; 22 rain barrels were installed; 5 rain gardens, 12 rock‐sump storage basins, and 2 swales were constructed; and a stormwater ditch was re‐dug and had 5 ditch checks installed in it. The post‐project survey indicated an increase in understanding by treatment‐street residents of where stormwater flowed to and what it affected, and an increase in willingness to accept at least some responsibility for stormwater runoff. Residents who received BMPs were generally satisfied with them and would recommend them to others. Runoff reduction proved more difficult to quantify due to high and inconsistent runoff variability between the paired streets, very few pre‐BMP installation rain events, and loss of one control street due to re‐paving mid‐project. Capacity of installed BMPs is approximately 2.5% of the measured stormwater runoff. There is about a 20% greater reduction in runoff for the treatment street after BMPs were installed than for the control street for small to moderate storm events; while we would like to attribute this completely to our BMPs, we cannot prove that other factors weren’t also at work. Peak flows also appear to have been reduced for 1 inch and smaller rainstorms, but we were unable to accurately measure this reduction. The results are available on an existing stream education website and are used to educate neighborhood, city of Duluth, and regional residents on stormwater issues, individual responsibility, and BMP options

    Rationale for a New Generation of Indicators for Coastal Waters

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    More than half the world\u27S human population lives within 100 km of the coast, and that number is expected to increase by 25% over the next two decades. Consequently, coastal ecosystems are at serious risk. Larger coastal populations and increasing development have led to increased loading of toxic substances, nutrients and pathogens with subsequent algal blooms, hypoxia, beach closures, and damage to coastal fisheries. Recent climate change has led to the rise in sea level with loss of coastal wetlands and saltwater intrusion into coastal aquifers. Coastal resources have traditionally been monitored on a stressor-by-stressor basis such as for nutrient loading or dissolved oxygen. To fully measure the complexities of coastal systems, we must develop a new set of ecologic indicators that span the realm of biological organization from genetic markers to entire ecosystems and are broadly applicable across geographic regions while integrating stressor types. We briefly review recent developments in ecologic indicators and emphasize the need for improvements in understanding of stress-response relationships, contributions of multiple stressors, assessments over different spatial and temporal scales, and reference conditions. We provide two examples of ecologic indicators that can improve our understanding of these inherent problems: a) the use of photopigments as indicators of the interactive effects of nutrients and hydrology, and b) biological community approaches that use multiple taxa to detect effects on ecosystem structure and function. These indicators are essential to measure the condition of coastal resources, to diagnose stressors, to communicate change to the public, and ultimately to protect human health and the quality of the coastal environment

    Disparities in the Use of assisted Reproductive Technologies after Breast Cancer: a Population-Based Study

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    PURPOSE: Equitable access to oncofertility services is a key component of cancer survivorship care, but factors affecting access and use remain understudied. METHODS: to describe disparities in assisted reproductive technology (ART) use among women with breast cancer in California, we conducted a population-based cohort study using linked oncology, ART, and demographic data. We identified women age 18-45 years diagnosed with invasive breast cancer between 2000 and 2015. The primary outcome was ART use-including oocyte/embryo cryopreservation or embryo transfer-after cancer diagnosis. We used log-binomial regression to estimate prevalence ratios (PRs) and 95% confidence intervals (CIs) to identify factors associated with ART use. RESULTS: Among 36,468 women with invasive breast cancer, 206 (0.56%) used ART. Women significantly less likely to use ART were age 36-45 years at diagnosis (vs. 18-35 years: PR = 0.17, 95% CI 0.13-0.22); non-Hispanic Black or Hispanic (vs. non-Hispanic White: PR = 0.31, 95% CI 0.21-0.46); had at least one child (vs. no children: adjusted PR [aPR] = 0.39, 95% CI 0.25-0.60); or lived in non-urban areas (vs. urban: aPR = 0.28, 95% CI 0.10-0.75), whereas women more likely to use ART lived in high-SES areas (vs. low-/middle-SES areas: aPR = 2.93, 95% CI 2.04-4.20) or had private insurance (vs. public/other insurance: aPR = 2.95, 95% CI 1.59-5.49). CONCLUSION: Women with breast cancer who are socially or economically disadvantaged, or who already had a child, are substantially less likely to use ART after diagnosis. The implementation of policies or programs targeting more equitable access to fertility services for women with cancer is warranted

    Disparities in Fertility-Sparing Treatment and Use of assisted Reproductive Technology after a Diagnosis of Cervical, Ovarian, or Endometrial Cancer

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    OBJECTIVE: to assess the presence of sociodemographic and clinical disparities in fertility-sparing treatment and assisted reproductive technology (ART) use among patients with a history of cervical, endometrial, or ovarian cancer. METHODS: We conducted a population-based cohort study of patients aged 18-45 years who were diagnosed with cervical cancer (stage IA, IB), endometrial cancer (grade 1, stage IA, IB), or ovarian cancer (stage IA, IC) between January 1, 2000, and December 31, 2015, using linked data from the CCR (California Cancer Registry), the California Office of Statewide Health Planning and Development, and the Society for Assisted Reproductive Technology. The primary outcome was receipt of fertility-sparing treatment , defined as surgical or medical treatment to preserve the uterus and at least one ovary. The secondary outcome was fertility preservation , defined as ART use after cancer diagnosis. Multivariable logistic regression analysis was used to estimate odds ratios and 95% CIs for the association between fertility-sparing treatment and exposures of interest: age at diagnosis, race and ethnicity, health insurance, socioeconomic status, rurality, and parity. RESULTS: We identified 7,736 patients who were diagnosed with cervical, endometrial, or ovarian cancer with eligible histology. There were 850 (18.8%) fertility-sparing procedures among 4,521 cases of cervical cancer, 108 (7.2%) among 1,504 cases of endometrial cancer, and 741 (43.3%) among 1,711 cases of ovarian cancer. Analyses demonstrated nonuniform patterns of sociodemographic disparities by cancer type for fertility-sparing treatment, and ART. Fertility-sparing treatment was more likely among young patients, overall, and of those in racial and ethnic minority groups among survivors of cervical and ovarian cancer. Use of ART was low (n=52) and was associated with a non-Hispanic White race and ethnicity designation, being of younger age (18-35 years), and having private insurance. CONCLUSION: This study demonstrates that clinical and sociodemographic disparities exist in the receipt of fertility-sparing treatment and ART use among patients with a history of cervical, endometrial, or ovarian cancer

    Environmental Indicators for the Coastal Region of the U.S. Great Lakes

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    The goal of this research collaboration was to develop indicators that both estimate environmental condition and suggest plausible causes of ecosystem degradation in the coastal region of the U.S. Great Lakes. The collaboration consisted of 8 broad components, each of which generated different types of environmental responses and characteristics of the coastal region. These indicators included biotic communities of amphibians, birds, diatoms, fish, macroinvertebrates, and wetland plants as well as indicators of polycyclic aromatic hydrocarbon (PAH) photo-induced toxicity and landscape characterization. These components are summarized below and discussed in more detailed in 5 separate reports (Section II). Stress gradients within the U.S. Great Lakes coastal region were defined from 207 variables (e.g., agriculture, atmospheric deposition, land use/land cover, human populations, point source pollution, and shoreline modification) from 19 different data sources that were publicly available for the coastal region. Biotic communities along these gradients were sampled with a stratified, random design among representative ecosystems within the coastal zone. To achieve the sampling across this massive area, the coastal region was subdivided into 2 major ecological provinces and further subdivided into 762 segment sheds. Stress gradients were defined for the major categories of human-induced disturbance in the coastal region and an overall stress index was calculated which represented a combination of all the stress gradients. Investigators of this collaboration have had extensive interactions with the Great Lakes community. For instance, the Lake Erie Lakewide Area Management Plan (LAMP) has adopted many of the stressor measures as integral indicators of the condition of watersheds tributary to Lake Erie. Furthermore, the conceptual approach and applications for development of a generalized stressor gradient have been incorporated into a document defining the tiered aquatic life criteria for defining biological integrity of the nation’s waters. A total of 14 indicators of the U.S. Great Lakes coastal region are presented for potential application. Each indicator is summarized with respect to its use, methodology, spatial context, and diagnosis capability. In general, the results indicate that stress related to agricultural activity and human population density/development had the largest impacts on the biotic community indicators. In contrast, the photoinduced PAH indicator was primarily related to industrial activity in the U.S. Great Lakes, and over half of the sites sampled were potentially at risk of PAH toxicity to larval fish. One of the indicators developed for land use/land change was developed from Landsat imagery for the entire U.S. Great Lakes basin and for the period from 1992 to 2001. This indicator quantified the extensive conversions of both agricultural and forest land to residential area that has occurred during a short 9 year period. Considerable variation in the responses were manifest at different spatial scales and many at surprisingly large scales. Significant advances were made with respect to development of methods for identifying and testing environmental indicators. In addition, many indicators and concepts developed from this project are being incorporated into management plans and U.S. 8 EPA methods documents. Further details, downloadable documents, and updates on these indicators can be found at the GLEI website - http://glei.nrri.umn.edu

    Standardized Measures of Coastal Wetland Condition: Implementation at a Laurentian Great Lakes Basin-Wide Scale

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    Since European settlement, over 50 % of coastal wetlands have been lost in the Laurentian Great Lakes basin, causing growing concern and increased monitoring by government agencies. For over a decade, monitoring efforts have focused on the development of regional and organism-specific measures. To facilitate collaboration and information sharing between public, private, and government agencies throughout the Great Lakes basin, we developed standardized methods and indicators used for assessing wetland condition. Using an ecosystem approach and a stratified random site selection process, birds, anurans, fish, macroinvertebrates, vegetation, and physico-chemical conditions were sampled in coastal wetlands of all five Great Lakes including sites from the United States and Canada. Our primary objective was to implement a standardized basin-wide coastal wetland monitoring program that would be a powerful tool to inform decision-makers on coastal wetland conservation and restoration priorities throughout the Great Lakes basin
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