Environmental Health Inequalities and Discriminatory Zoning: Identifying Systemic Barriers for Environmental Health Equity through Community-Engaged Research

Environmental justice research has exposed that environmental health inequalities persist for historically redlined communities due to proximity to heavy industrial areas. Communities of color are systematically exposed to air pollution due to structural environmental inequalities. Disparate exposure to legacy pollution is often overlooked as a key contributor of racial health disparities. The underlying historical mechanisms and systemic barriers that perpetuate environmental health injustices have been less identified in critical environmental justice research including how to confront state complicity. I use historical archives, community reports, public health research, environmental data, media articles, industry complaint documentation, and other government documents as primary data sources supplemented with purposive, semi-structured interviews with state legislators, city council leadership, the municipal planning department, and the county health department to identify systemic barriers for environmental health equity. I find that historic processes of racial residential segregation imbedded structural environmental inequalities within neighborhoods, and institutional inaction, industrial prioritization, regulatory gaslighting, and discriminatory negligence of zoning conditions are systemic obstructions to environmental justice. My findings are critical for implementing existing federal civil rights protections, developing environmental-justice based state policies, and enforcing current ordinances for industrial areas adjacent to communities of color to protect environmental health

User Behavioral Modeling of Web-based Systems for Continuous User Authentication

Authentication plays an important role in how we interact with computers, mobile devices, the web, etc. The idea of authentication is to uniquely identify a user before granting access to system privileges. For example, in recent years more corporate information and applications have been accessible via the Internet and Intranet. Many employees are working from remote locations and need access to secure corporate files. During this time, it is possible for malicious or unauthorized users to gain access to the system. For this reason, it is logical to have some mechanism in place to detect whether the logged-in user is the same user in control of the user's session. Therefore, highly secure authentication methods must be used. We posit that each of us is unique in our use of computer systems. It is this uniqueness that is leveraged to "continuously authenticate users" while they use web software. To monitor user behavior, n-gram models are used to capture user interactions with web-based software. This statistical language model essentially captures sequences and sub-sequences of user actions, their orderings, and temporal relationships that make them unique by providing a model of how each user typically behaves. Users are then continuously monitored during software operations. Large deviations from "normal behavior" can possibly indicate malicious or unintended behavior. This approach is implemented in a system called Intruder Detector (ID) that models user actions as embodied in web logs generated in response to a user's actions. User identification through web logs is cost-effective and non-intrusive. We perform experiments on a large fielded system with web logs of approximately 4000 users. For these experiments, we use two classification techniques; binary and multi-class classification. We evaluate model-specific differences of user behavior based on coarse-grain (i.e., role) and fine-grain (i.e., individual) analysis. A specific set of metrics are used to provide valuable insight into how each model performs. Intruder Detector achieves accurate results when identifying legitimate users and user types. This tool is also able to detect outliers in role-based user behavior with optimal performance. In addition to web applications, this continuous monitoring technique can be used with other user-based systems such as mobile devices and the analysis of network traffic

The Water that Sustains Us: Indigenous Resistances to Defend the Environment in Oklahoma

My research focuses on Indigenous people’s resistance movements to safeguard and sustain their natural environments. I would affirm that Indigenous-led resistance movements and actions to preserve the environment protect the water and natural environment for all people. Indigenous resistance movements that safeguard and sustain water and the environment achieve three critical paradigm shifts that advocate for environmental justice and undermine exploitative cycles of systemic violence and environmental racism. They are: a promotion of Indigenous environmental justice resistances, where people and the natural world are interdependent and mutually sustaining; a disrupting (and decolonizing) of settler-colonial processes, specifically in Oklahoma; and a dismantling of neocolonial global structures in Indigenous resistances to environmentally-destructive industrial oil production and infrastructure development at Standing Rock, and in Ecuador and Nigeria. These bold, transformative processes of water protection are being actualized by Indigenous people

Review of Student Engagement, Assessment, and High-Impact Practice Implementation by Common Book Programs in U.S. Institutions of Higher Education

Common book programs are widely used by U.S. institutions of higher education to positively impact student engagement and student retention. This capstone project sought to determine the best practices in common book program assessment and high-impact practice implementation. A mixed-methods sequential explanatory research design was employed to answer the research questions. Data was collected utilizing an online survey and interviews. Quantitative and qualitative data was analyzed using chi-square, in vivo and thematic coding. This project aims to inform common book program administrators and other student engagement stakeholders in improving program assessment, high-impact practice implementation, and first- to second-year student retention rates

Understanding research capacity and culture of nurses and midwives in two health services in Western Australia

Background: Health services with a strong research culture report better patient outcomes and organisational performance. Measuring research capacity and culture (RCC) is important for understanding baseline research capabilities of a health service and assessing the effectiveness of capacity-building and culture-improving interventions. Aim: To describe the RCC of nurses and midwives in two health services in Western Australia. Methods: A cross-sectional survey of nurses and midwives was undertaken using a previously validated RCC tool to measure RCC in individual, professional group, and organisational domains, and identify barriers, enablers, and research activity. Staff at each health service were recruited via email during a three-month period in 2022. Quantitative data were analysed for descriptive statistics. Qualitative comments underwent content analysis. Results: Three hundred nurses and midwives completed the survey. Research capacity was low to moderate at the individual and group domains and moderate in the organisational domain. Participation in research activities was generally low. Top barriers for research involved lack of time and backfill, and other work roles taking priority, whilst top enablers were skill development, job satisfaction, and addressing identified problems. The results appeared similar across the two services. Conclusions: The findings align with previous studies, indicating that research capacity continues to be limited for nurses and midwives. Organisations should acknowledge key barriers and enablers for research and implement targeted capacity-building and culture-improving strategies

Adolescent physical activity and screen time: associations with the physical home environment

<p>Abstract</p> <p>Background</p> <p>Previous research on the environment and physical activity has mostly focused on macro-scale environments, such as the neighborhood environment. There has been a paucity of research on the role of micro-scale and proximal environments, such as that of the home which may be particularly relevant for younger adolescents who have more limited independence and mobility. The purpose of this study was to describe associations between the home environment and adolescent physical activity, sedentary time, and screen time.</p> <p>Methods</p> <p>A total of 613 parent-adolescent dyads were included in these analyses from two ongoing cohort studies. Parents completed a Physical Activity and Media Inventory (PAMI) of their home environment. Adolescent participants (49% male, 14.5 ± 1.8 years) self-reported their participation in screen time behaviors and wore an ActiGraph accelerometer for one week to assess active and sedentary time.</p> <p>Results</p> <p>After adjusting for possible confounders, physical activity equipment density in the home was positively associated with accelerometer-measured physical activity (p < 0.01) among both males and females. Most of the PAMI-derived measures of screen media equipment in the home were positively associated with adolescent female's screen time behavior (p ≤ 0.03). In addition, the ratio of activity to media equipment was positively associated with physical activity (p = 0.04) in both males and females and negatively associated with screen time behavior for females (p < 0.01).</p> <p>Conclusions</p> <p>The home environment was associated with physical activity and screen time behavior in adolescents and differential environmental effects for males and females were observed. Additional research is warranted to more comprehensively assess the home environment and to identify obesogenic typologies of families so that early identification of at-risk families can lead to more informed, targeted intervention efforts.</p

Dear Feminist Press

Letter from Woman\u27s Role Group of East Hill School, 116 N Quarry St., Ithaca, N.Y. 14850

Effect of Water Depth on Heart Rate and Core Temperature During Underwater Treadmill Walking

Exercising using an underwater treadmill (UTM) has become a popular modality; however, few studies have focused on the physiological demands of UTM walking at varying water depths. Thus, the objective of this study was to investigate changes in heart rate (HR) and core temperature (CT) values in college-aged males and females while exercising at different water immersion depths using an UTM. Twenty participants (age = 21.50 ± 2.19 years; height = 169.04 ± 10.85cm; weight = 75.56 ± 22.28kg) walked at water depths of 10cm below the xiphoid process and at the level of the superior iliac crest (I.C.). Each UTM session lasted 15 minutes, consisting of 5-minute bouts at 1, 2, and 3 mph. Polar HR monitors and ingestible thermoregulatory pills were used to measure HR and CT. Results indicated that HR at 1 (p = .305) and 2 mph (p = .864) were not significantly different between water depths. Heart rate was significantly higher at 3 mph (p = .003) at the I.C. water level. No significant differences were found in CT at 1 (p = .919), 2 (p = .392), or 3 mph (p = .310) during either immersion depth. As a result, higher immersion depths resulted in a lower average HR during higher intensity exercise due to the increased buoyancy effects and the reduced gravity environment of the water. Thus, exercising in higher immersion depths allows participants to exercise at a higher intensity with less overall stress placed on the lower extremities

Multilevel predictors of adolescent physical activity: a longitudinal analysis

<p>Abstract</p> <p>Background</p> <p>To examine how factors from a social ecologic model predict physical activity (PA) among adolescents using a longitudinal analysis.</p> <p>Methods</p> <p>Participants in this longitudinal study were adolescents (ages 10-16 at baseline) and one parent enrolled in the Transdisciplinary Research on Energetics and Cancer-Identifying Determinants of Eating and Activity (TREC-IDEA) and the Etiology of Childhood Obesity (ECHO). Both studies were designed to assess a socio-ecologic model of adolescent obesity risk. PA was collected using ActiGraph activity monitors at two time points 24 months apart. Other measures included objective height and weight, adolescent and parent questionnaires on multilevel psychological, behavioral and social determinants of PA, and a home PA equipment inventory. Analysis was conducted using SAS, including descriptive characteristics, bivariate and stepped multivariate mixed models, using baseline adjustment. Models were stratified by gender.</p> <p>Results</p> <p>There were 578 adolescents with complete data. Results suggest few statistically significant longitudinal associations with physical activity measured as minutes of MVPA or total counts from accelerometers. For boys, greater self-efficacy (B = 0.75, <it>p </it>= 0.01) and baseline MVPA (B = 0.55, <it>p </it>< 0.01) remained significantly associated with MVPA at follow-up. A similar pattern was observed for total counts. For girls, baseline MVPA (B = 0.58, <it>p </it>= 0.01) and barriers (B = -0.32, <it>p </it>= 0.05) significantly predicted MVPA at follow-up in the full model. The full multilevel model explained 30% of the variance in PA among boys and 24% among girls.</p> <p>Conclusions</p> <p>PA change in adolescents is a complex issue that is not easily understood. Our findings suggest early PA habits are the most important predictor of PA levels in adolescence. Intervention may be necessary prior to middle school to maintain PA through adolescence.</p

The validation of a home food inventory

<p>Abstract</p> <p>Background</p> <p>Home food inventories provide an efficient method for assessing home food availability; however, few are validated. The present study's aim was to develop and validate a home food inventory that is easily completed by research participants in their homes and includes a comprehensive range of both healthful and less healthful foods that are associated with obesity.</p> <p>Methods</p> <p>A home food inventory (HFI) was developed and tested with two samples. Sample 1 included 51 adult participants and six trained research staff who independently completed the HFI in participants' homes. Sample 2 included 342 families in which parents completed the HFI and the Diet History Questionnaire (DHQ) and students completed three 24-hour dietary recall interviews. HFI items assessed 13 major food categories as well as two categories assessing ready-access to foods in the kitchen and the refrigerator. An obesogenic household food availability score was also created. To assess criterion validity, participants' and research staffs' assessment of home food availability were compared (staff = gold standard). Criterion validity was evaluated with kappa, sensitivity, and specificity. Construct validity was assessed with correlations of five HFI major food category scores with servings of the same foods and associated nutrients from the DHQ and dietary recalls.</p> <p>Results</p> <p>Kappa statistics for all 13 major food categories and the two ready-access categories ranged from 0.61 to 0.83, indicating substantial agreement. Sensitivity ranged from 0.69 to 0.89, and specificity ranged from 0.86 to 0.95. Spearman correlations between staff and participant major food category scores ranged from 0.71 to 0.97. Correlations between the HFI scores and food group servings and nutrients on the DHQ (parents) were all significant (p < .05) while about half of associations between the HFI and dietary recall interviews (adolescents) were significant (p < .05). The obesogenic home food availability score was significantly associated (p < .05) with energy intake of both parents and adolescents.</p> <p>Conclusion</p> <p>This new home food inventory is valid, participant-friendly, and may be useful for community-based behavioral nutrition and obesity prevention research. The inventory builds on previous measures by including a wide range of healthful and less healthful foods rather than foods targeted for a specific intervention.</p