Digital Commons Network^™

A Descriptive And Visual Analysis Of The North Coast Fall Prevention Survey Data, Mishell Lopez

Cal Poly Humboldt theses and projects

Older adults over 65 will double from 52.4 million in 2018 to 94.7 million in 2060. Among this aging group, falls affect one out of four older adults and are a critical economic concern for our American society, with yearly costs of $50 billion. In older adults, falling can result in negative consequences such as fear of falling, injuries, mobility restrictions, and loss of independence. California has one of the highest costs per fall ($4 billion annually) and a high percentage of adults who have fallen (30.6%) compared to the nation. Moreover, two of California’s northwest rural counties, Del Norte, …

Self-Determination Theory And Exercise Performance For Individuals With Autism., Martin Calderon

Cal Poly Humboldt theses and projects

Individuals with Autism Spectrum Disorder (ASD) tend to demonstrate low levels of physical activity and exercise when compared to their developing peers. Low physical activity levels are associated with multiple factors, including lack of understanding of how to perform exercise movements and low intrinsic motivation. Token economy reward systems have shown to be practical in behavior analysis for changing behaviors however, there is limited research on the effects of token economy reward systems in an exercise setting. The purpose of this study was to determine the impact of a token economy board combined with self-determination theory (SDT) on the exercise …

Masks, Misinformation, And Making Do: Appalachian Health-Care Workers And The Covid-19 Pandemic, Wendy Welch

Ohio University Press Open Access Books

The firsthand pandemic experiences of rural health-care providers—who were already burdened when COVID-19 hit—raise questions about the future of public health and health-care delivery.

This volume comprises the COVID-19 pandemic experiences of Appalachian health-care workers, including frontline providers, administrators, and educators. The combined narrative reveals how governmental and corporate policies exacerbated the region’s injustices, stymied response efforts, and increased the death toll.

Beginning with an overview of the SARS-CoV-2 virus and its impact on the body, the essays in the book’s first section provide background material and contextualize the subsequent explosion of telemedicine, the pandemic’s impact on medical education, and …

Binge Drinking And Protective Behavioral Strategies Among Greek And Non-Greek College Students, Maria Niitepold

Antioch University Dissertations & Theses

One of the most problematic habits of college students, binge drinking, has been of particular interest among researchers as a result of the increased risk of harm experienced by students engaging in this high-risk behavior. Fraternity and sorority students have also come under scrutiny for habitually engaging in binge drinking and experiencing significant levels of negative consequences as a result. Little is currently understood about the differences between Protective Behavioral Strategy (PBS) use of Greek and non-Greek students. The aim of this study was to examine the differences in rates of binge drinking and PBS use among Greek and non-Greek …

Corrigendum: Application Of Implementation Mapping To Develop Strategies For Integrating The National Diabetes Prevention Program Into Primary Care Clinics, Catherine Pulicken, Pierre Fwelo, Grace E White, Belinda M Reininger, John W Mcwhorter, Roshanda Chenier, Maria E Fernandez

Faculty, Staff and Student Publications

This corrects the article "Application of implementation mapping to develop strategies for integrating the National Diabetes Prevention Program into primary care clinics", 933253.

Editorial: Period Poverty

Faculty, Staff and Student Publications

No abstract provided.

Issue Of Data Imbalance On Low Birthweight Baby Outcomes Prediction And Associated Risk Factors Identification: Establishment Of Benchmarking Key Machine Learning Models With Data Rebalancing Strategies, Yang Ren, Dezhi Wu, Yan Tong, Ana Lopez-De Fede

Publications

Background: Low birthweight (LBW) is a leading cause of neonatal mortality in the United States and a major causative factor of adverse health effects in newborns. Identifying high-risk patients early in prenatal care is crucial to preventing adverse outcomes. Previous studies have proposed various machine learning (ML) models for LBW prediction task, but they were limited by small and imbalanced data sets. Some authors attempted to address this through different data rebalancing methods. However, most of their reported performances did not reflect the models’ actual performance in real-life scenarios. To date, few studies have successfully benchmarked the performance of ML …

Medically Accurate Evidence-Based Sex Education And Abstinence-Only Sex Education: Impact On Teen Pregnancies In The United States, Nicole Chiu

Nursing | Senior Theses

The U.S. has funded abstinence-only programs to combat pregnancy rates for a long time. With numerous factors contributing to teen pregnancies, there have been a lot of ways that people have decided to try to decrease the number of teen pregnancies. For example, schools have either decided that they intend to fully educate their teenage students using medically accurate evidence-based sex education or come from a more conservative approach and give abstinence-only education. The objective of this investigation is to identify whether evidence-based sex education or abstinence-only sex education is more effective at combating teen pregnancy and abortion rates. This …

Using Geospatial Social Media Data For Infectious Disease Studies: A Systematic Review, Fengrui Jing, Zhenlong Li, Shan Qiao Ph.D., Jiajia Zhang Ph.D., Bankole Olatosi Ph.D., Xiaoming Li Ph.D.

Faculty Publications

Geospatial social media (GSM) data has been increasingly used in public health due to its rich, timely, and accessible spatial information, particularly in infectious disease research. This review synthesized 86 research articles that use GSM data in infectious diseases published between December 2013 and March 2022. These articles cover 12 infectious disease types ranging from respiratory infectious diseases to sexually transmitted diseases with spatial levels varying from the neighborhood, county, state, and country. We categorized these studies into three major infectious disease research domains: surveillance, explanation, and prediction. With the assistance of advanced computing, statistical and spatial methods, GSM data …

The Predictive Value Of Coronary Microvascular Dysfunction For Left Ventricular Reverse Remodelling In Dilated Cardiomyopathy, Qimin Fang, Lianggeng Gong

Faculty, Staff and Student Publications

AIMS: to evaluate the degree of coronary microvascular dysfunction (CMD) in dilated cardiomyopathy (DCM) patients by cardiac magnetic resonance (CMR) first-pass perfusion parameters and to examine the correlation between myocardial perfusion and left ventricle reverse remodelling (LVRR).

METHODS: In this study, 94 DCM patients and 35 healthy controls matched for age and sex were included. Myocardial perfusion parameters, including upslope, time to maximum signal intensity (Time

RESULTS: With a median follow-up period of 12 months [interquartile range (IQR), 8-13], 41 DCM patients (44%) achieved LVRR. Compared with healthy controls, DCM patients presented CMD with reduced upslope, SI

CONCLUSIONS: CMD could …

Semiparametric Regression Modeling Of The Global Percentile Outcome, Ruosha Li

Faculty, Staff and Student Publications

When no single outcome is sufficient to capture the multidimensional impairments of a disease, investigators often rely on multiple outcomes for comprehensive assessment of global disease status. Methods for assessing covariate effects on global disease status include the composite outcome and global test procedures. One global test procedure is the O'Brien's rank-sum test, which combines information from multiple outcomes using a global rank-sum score. However, existing methods for the global rank-sum do not lend themselves to regression modeling. We consider sensible regression strategies for the global percentile outcome (GPO), under the transformed linear model and the monotonic index model. Posing …

Corrigendum: Editorial: Period Poverty

Faculty, Staff and Student Publications

This corrects the article "Editorial: Period poverty" in volume 5, 1140981.

Whole Genome Sequence Analysis Of Apparent Treatment Resistant Hypertension Status In Participants From The Trans-Omics For Precision Medicine Program, Amber L Beitelshees, Yii-Der Ida Chen, Han Chen, Paul S De Vries, James S Floyd, Nora Franceschini, Xiuqing Guo, Jacklyn N Hellwege, John S House, Chii-Min Hwu, Sharon L R Kardia, Ethan M Lange, Leslie A Lange, Caitrin W Mcdonough, May E Montasser, Jeffrey R O'Connell, Megan M Shuey, Xiao Sun, Zhe Wang, Wei Zhao, April P Carson, Todd L Edwards, Tanika N Kelly, Eimear E Kenny, Charles Kooperberg, Ruth J F Loos, Alanna C Morrison, Alison Motsinger-Reif, Bruce M Psaty, Dabeeru C Rao, Susan Redline, Stephen S Rich, Jerome I Rotter, Jennifer A Smith, Albert V Smith, Marguerite R Irvin, Donna K Arnett

Faculty, Staff and Student Publications

Introduction: Apparent treatment-resistant hypertension (aTRH) is characterized by the use of four or more antihypertensive (AHT) classes to achieve blood pressure (BP) control. In the current study, we conducted single-variant and gene-based analyses of aTRH among individuals from 12 Trans-Omics for Precision Medicine cohorts with whole-genome sequencing data.

Methods: Cases were defined as individuals treated for hypertension (HTN) taking three different AHT classes, with average systolic BP ≥ 140 or diastolic BP ≥ 90 mmHg, or four or more medications regardless of BP (n = 1,705). A normotensive control group was defined as individuals with BP < 140/90 mmHg (n = 22,079), not on AHT medication. A second control group comprised individuals who were treatment responsive on one AHT medication with BP < 140/ 90 mmHg (n = 5,424). Logistic regression with kinship adjustment using the Scalable and Accurate Implementation of Generalized mixed models (SAIGE) was performed, adjusting for age, sex, and genetic ancestry. We assessed variants using SKAT-O in rare-variant analyses. Single-variant and gene-based tests were conducted in a pooled multi-ethnicity stratum, as well as self-reported ethnic/racial strata (European and African American).

Results: One variant in …

Coronary Heart Disease And Ischemic Stroke Polygenic Risk Scores And Atherosclerotic Cardiovascular Disease In A Diverse, Population-Based Cohort Study, David Couper, Myriam Fornage, Alanna C Morrison, Christy L Avery, Paul S De Vries

Faculty, Staff and Student Publications

The predictive ability of coronary heart disease (CHD) and ischemic stroke (IS) polygenic risk scores (PRS) have been evaluated individually, but whether they predict the combined outcome of atherosclerotic cardiovascular disease (ASCVD) remains insufficiently researched. It is also unclear whether associations of the CHD and IS PRS with ASCVD are independent of subclinical atherosclerosis measures. 7,286 White and 2,016 Black participants from the population-based Atherosclerosis Risk in Communities study who were free of cardiovascular disease and type 2 diabetes at baseline were included. We computed previously validated CHD and IS PRS consisting of 1,745,179 and 3,225,583 genetic variants, respectively. Cox …

Do Breast Cancer Survivors With A Recent History Of Clinical Depression Report Worse Experiences With Care? A Retrospective Cohort Study Using Seer-Cahps Data, Melissa F Peskin

Faculty, Staff and Student Publications

PURPOSE: We examined whether breast cancer survivors' experiences with care differed by a recent history of clinical depression, and whether associations differed by race/ethnicity.

METHODS: Using the Epidemiology and End Results-Consumer Assessment of Healthcare Providers and Systems (SEER-CAHPS) dataset, we analyzed records of breast cancer survivors who completed a survey at least 12 months after their cancer diagnosis. We assessed clinical depression 12 months prior to survey completion using Medicare claims. We used separate multivariable logistic regressions to examine the associations between depression and excellent (vs. less than excellent) ratings of experiences with care (i.e., doctor communication, getting needed care, …

Fakestack: Hierarchical Tri-Bert-Cnn-Lstm Stacked Model For Effective Fake News Detection

Faculty, Staff and Student Publications

False news articles pose a serious challenge in today's information landscape, impacting public opinion and decision-making. Efforts to counter this issue have led to research in deep learning and machine learning methods. However, a gap exists in effectively using contextual cues and skip connections within models, limiting the development of comprehensive detection systems that harness contextual information and vital data propagation. Thus, we propose a model of deep learning, FakeStack, in order to identify bogus news accurately. The model combines the power of pre-trained Bidirectional Encoder Representation of Transformers (BERT) embeddings with a deep Convolutional Neural Network (CNN) having skip …

Lessons Learned From Interdisciplinary Efforts To Combat Covid-19 Misinformation: Development Of Agile Integrative Methods From Behavioral Science, Data Science, And Implementation Science, Jinni Tang, Trevor Cohen, Belinda Reininger, Lara S Savas, Maria E Fernandez

Faculty, Staff and Student Publications

BACKGROUND: Despite increasing awareness about and advances in addressing social media misinformation, the free flow of false COVID-19 information has continued, affecting individuals' preventive behaviors, including masking, testing, and vaccine uptake.

OBJECTIVE: In this paper, we describe our multidisciplinary efforts with a specific focus on methods to (1) gather community needs, (2) develop interventions, and (3) conduct large-scale agile and rapid community assessments to examine and combat COVID-19 misinformation.

METHODS: We used the Intervention Mapping framework to perform community needs assessment and develop theory-informed interventions. To supplement these rapid and responsive efforts through large-scale online social listening, we developed a …

Age-Induced Changes In Anti-Tumor Immunity Alter The Tumor Immune Infiltrate And Impact Response To Immuno-Oncology Treatments, Viia E Valge-Archer, Simon J Dovedi

Faculty, Staff and Student Publications

INTRODUCTION: Immuno-oncology (IO) research relies heavily on murine syngeneic tumor models. However, whilst the average age for a cancer diagnosis is 60 years or older, for practical purposes the majority of preclinical studies are conducted in young mice, despite the fact that ageing has been shown to have a significant impact on the immune response.

METHODS: Using aged (60-72 weeks old) mice bearing CT26 tumors, we investigated the impact of ageing on tumor growth as well as the immune composition of the tumor and peripheral lymphoid organs.

RESULTS: We found many differences in the immune cell composition of both the …

Observed And Perceived Benefits Of Providing Physical Activity Opportunities In Elementary Schools: A Qualitative Study, Paula Cuccaro

Faculty, Staff and Student Publications

INTRODUCTION: Schools play an important role in promoting physical activity for youth. However, school-based physical activity opportunities often compete with other academic priorities, limiting their implementation. The purpose of this study was to qualitatively explore elementary school teacher and staff perspectives on providing physical activity opportunities and how they impact students and learning.

METHODS: We partnered with a school district in Texas to conduct semi-structured individual interviews. We used a purposeful sampling approach to recruit elementary teachers and staff knowledgeable about the physical activity opportunities provided at their school. Interviews included questions about participant opinions of providing physical activity opportunities …

Maternal Perceptions Of Vaccinating Boys Against Human Papillomavirus (Hpv) In Seoul, South Korea: A Descriptive Exploratory Qualitative Study, Paula Cuccaro

Faculty, Staff and Student Publications

Human Papillomavirus (HPV) vaccination is of paramount importance to reduce HPV-associated cancers in both genders. In South Korea, the prophylactic vaccine is recognized as prevention of cervical cancer with little attention given to male HPV vaccination. The purpose of this study was to explore perceptions of male HPV vaccination and underlying factors for vaccine hesitancy among mothers of unvaccinated boys in Seoul, Korea using a qualitative method. We used a purposive sampling strategy to recruit mothers of unvaccinated middle school-aged boys living in one of the 25 districts in Seoul, supplemented by a snowball sampling approach. We conducted one-on-one telephone …

Association Of The Gut Microbiome With Kidney Function And Damage In The Hispanic Community Health Study/Study Of Latinos (Hchs/Sol), Jianwen Cai, Marc D Gellman, Bing Yu, Eric Boerwinkle, Rob Knight, Robert D Burk, Robert C Kaplan

Faculty, Staff and Student Publications

BACKGROUND: The gut microbiome is altered in chronic kidney disease (CKD), potentially contributing to CKD progression and co-morbidities, but population-based studies of the gut microbiome across a wide range of kidney function and damage are lacking.

METHODS: In the Hispanic Community Health Study/Study of Latinos, gut microbiome was assessed by shotgun sequencing of stool (

RESULTS: Higher eGFR was associated with overall gut microbiome composition, greater abundance of species from Prevotella, Faecalibacterium, Roseburia, and Eubacterium, and microbial functions related to synthesis of long-chain fatty acids and carbamoyl-phosphate. Higher UAC ratio and CKD were related to lower gut microbiome diversity and …

Factors Associated With Hiv Testing And Treatment Among Young Black Msm And Trans Women In Three Jail Systems, Rodal Issema, Angela Di Paola, John A Schneider, Anna L Hotton

Faculty, Staff and Student Publications

Black men who have sex with men (BMSM) and transgender women (BTW) are disproportionately affected by incarceration and HIV. We assessed factors associated with HIV testing and viral suppression among 176 incarcerated BMSM and BTW in Chicago, IL; Los Angeles, CA; and Houston, TX. In multivariable logistic regression, having a sexual orientation of bisexual, heterosexual, or other vs. gay or same-gender loving was associated with higher odds of testing in custody (aOR 8.97; 95% CI 1.95 - 41.24). Binge drinking (aOR 0.19; 95% CI 0.04 - 0.92) and being unemployed prior to incarceration (aOR 0.03; 95% CI 0.00 - 0.23) …

Application Of Implementation Mapping To Develop Strategies For Integrating The National Diabetes Prevention Program Into Primary Care Clinics, Catherine Pulicken, Pierre Fwelo, Grace E White, Belinda M Reininger, John W Mcwhorter, Roshanda Chenier, Maria E Fernandez

Faculty, Staff and Student Publications

BACKGROUND: Diabetes is considered one of the most prevalent and preventable chronic health conditions in the United States. Research has shown that evidence-based prevention measures and lifestyle changes can help lower the risk of developing diabetes. The National Diabetes Prevention Program (National DPP) is an evidence-based program recognized by the Centers for Disease Control and Prevention; it is designed to reduce diabetes risk through intensive group counseling in nutrition, physical activity, and behavioral management. Factors known to influence this program's implementation, especially in primary care settings, have included limited awareness of the program, lack of standard clinical processes to facilitate …

Application Of Implementation Mapping To Develop Strategies For Integrating The National Diabetes Prevention Program Into Primary Care Clinics, Catherine Pulicken, Pierre Fwelo, Grace E White, Belinda M Reininger, John W Mcwhorter, Roshanda Chenier, Maria E Fernandez

Faculty, Staff and Student Publications

BACKGROUND: Diabetes is considered one of the most prevalent and preventable chronic health conditions in the United States. Research has shown that evidence-based prevention measures and lifestyle changes can help lower the risk of developing diabetes. The National Diabetes Prevention Program (National DPP) is an evidence-based program recognized by the Centers for Disease Control and Prevention; it is designed to reduce diabetes risk through intensive group counseling in nutrition, physical activity, and behavioral management. Factors known to influence this program's implementation, especially in primary care settings, have included limited awareness of the program, lack of standard clinical processes to facilitate …

Developing And Pre-Testing A Digital Decision-Tree Smartphone Application For Smoking Prevention And Cessation Among Hiv Care Providers, Christine Markham

Faculty, Staff and Student Publications

OBJECTIVES: The diagnosis and continuous care of chronic conditions such as HIV infection present potential teachable moments for delivering smoking prevention and cessation interventions for patients. We designed and pre-tested a prototype of a smartphone application(app), Decision-T, specifically designed to assist healthcare providers when providing personalized smoking prevention and cessation services to their patients.

METHODS: We developed the Decision-T app based on transtheoretical algorithm for smoking prevention and cessation following the 5-A's model. We employed a mixed-methods approach among 18 HIV-care providers recruited from Houston Metropolitan Area for pre-testing the app. Each provider participated in three mock sessions, and the …

Proteomic Analysis Of Diabetes Genetic Risk Scores Identifies Complement C2 And Neuropilin-2 As Predictors Of Type 2 Diabetes: The Atherosclerosis Risk In Communities (Aric) Study, Elizabeth Selvin, Weihua Guan, Mary R Rooney, Faye L Norby, Nathan Pankratz, David Couper, James S Pankow

Faculty, Staff and Student Publications

AIMS/HYPOTHESIS: Genetic predisposition to type 2 diabetes is well-established, and genetic risk scores (GRS) have been developed that capture heritable liabilities for type 2 diabetes phenotypes. However, the proteins through which these genetic variants influence risk have not been thoroughly investigated. This study aimed to identify proteins and pathways through which type 2 diabetes risk variants may influence pathophysiology.

METHODS: Using a proteomics data-driven approach in a discovery sample of 7241 White participants in the Atherosclerosis Risk in Communities Study (ARIC) cohort and a replication sample of 1674 Black ARIC participants, we interrogated plasma levels of 4870 proteins and four …

Do Breast Cancer Survivors With A Recent History Of Clinical Depression Report Worse Experiences With Care? A Retrospective Cohort Study Using Seer-Cahps Data, Melissa F Peskin

Faculty, Staff and Student Publications

PURPOSE: We examined whether breast cancer survivors' experiences with care differed by a recent history of clinical depression, and whether associations differed by race/ethnicity.

METHODS: Using the Epidemiology and End Results-Consumer Assessment of Healthcare Providers and Systems (SEER-CAHPS) dataset, we analyzed records of breast cancer survivors who completed a survey at least 12 months after their cancer diagnosis. We assessed clinical depression 12 months prior to survey completion using Medicare claims. We used separate multivariable logistic regressions to examine the associations between depression and excellent (vs. less than excellent) ratings of experiences with care (i.e., doctor communication, getting needed care, …

Comorbidity Network Analysis Using Graphical Models For Electronic Health Records, Kayo Fujimoto

Faculty, Staff and Student Publications

IMPORTANCE: The comorbidity network represents multiple diseases and their relationships in a graph. Understanding comorbidity networks among critical care unit (CCU) patients can help doctors diagnose patients faster, minimize missed diagnoses, and potentially decrease morbidity and mortality.

OBJECTIVE: The main objective of this study was to identify the comorbidity network among CCU patients using a novel application of a machine learning method (graphical modeling method). The second objective was to compare the machine learning method with a traditional pairwise method in simulation.

METHOD: This cross-sectional study used CCU patients' data from Medical Information Mart for the Intensive Care-3 (MIMIC-3) dataset, …

Annotation And Information Extraction Of Consumer-Friendly Health Articles For Enhancing Laboratory Test Reporting, Yang Gong, Zhan Zhang, Xiao Luo, Mia Liza A Lustria

Faculty, Staff and Student Publications

Viewing laboratory test results is patients' most frequent activity when accessing patient portals, but lab results can be very confusing for patients. Previous research has explored various ways to present lab results, but few have attempted to provide tailored information support based on individual patient's medical context. In this study, we collected and annotated interpretations of textual lab result in 251 health articles about laboratory tests from AHealthyMe.com. Then we evaluated transformer-based language models including BioBERT, ClinicalBERT, RoBERTa, and PubMedBERT for recognizing key terms and their types. Using BioPortal's term search API, we mapped the annotated terms to concepts in …

Covidanno, Covid-19 Annotation In Human, Pora Kim, Xiaobo Zhou

Faculty, Staff and Student Publications

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the etiologic agent of coronavirus disease 19 (COVID-19), has caused a global health crisis. Despite ongoing efforts to treat patients, there is no universal prevention or cure available. One of the feasible approaches will be identifying the key genes from SARS-CoV-2-infected cells. SARS-CoV-2-infected in vitro model, allows easy control of the experimental conditions, obtaining reproducible results, and monitoring of infection progression. Currently, accumulating RNA-seq data from SARS-CoV-2 in vitro models urgently needs systematic translation and interpretation. To fill this gap, we built COVIDanno, COVID-19 annotation in humans, available at http://biomedbdc.wchscu.cn/COVIDanno/. The aim …