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A Comparative Analysis Of Explainable Ai (Xai) Techniques For Transparent And Reliable Image Classification, Sovon Chakraborty, Shakib Mahmud Dipto, Kevin R. Pilkiewicz, Michael L. Mayo, Pratip Rana 2026 Old Dominion University

A Comparative Analysis Of Explainable Ai (Xai) Techniques For Transparent And Reliable Image Classification, Sovon Chakraborty, Shakib Mahmud Dipto, Kevin R. Pilkiewicz, Michael L. Mayo, Pratip Rana

Computer Science Faculty Publications

Evaluating the trustworthiness of black-box machine learning models remains a significant methodological challenge. Their lack of transparency and interpretability limits applicability, because stakeholders often seek transparency before trusting the results of black-box machine learning models. Explainable AI (XAI) methods provide for human-understandable justifications and informed decision-making of these black-box architectures. Therefore, it is imperative to select the proper XAI model tailored to specific tasks. In this research, we focus on examining four XAI techniques: PEEK, LRP, GRAD-CAM, and LIME to understand how they perform against each other for image classification tasks. We evaluate the performance, robustness, generalizability, noise stability, and …


Near Real-Time Adaptive Isotropic And Anisotropic Image-To-Mesh Conversion For Cerebral Aneurysm Simulations, Kevin Garner, Chander Sadasivan, Nikos Chrisochoides 2026 Old Dominion University

Near Real-Time Adaptive Isotropic And Anisotropic Image-To-Mesh Conversion For Cerebral Aneurysm Simulations, Kevin Garner, Chander Sadasivan, Nikos Chrisochoides

Computer Science Faculty Publications

This paper presents two performance optimization techniques for a mesh adaptation method that is designed to help streamline the discretization of complex vascular geometries within the numerical modeling process. This method is integrated into a pipeline with an image-to-mesh conversion tool to generate adaptive anisotropic meshes from segmented medical images. The pipeline is shown to satisfy quality, fidelity, smoothness, and robustness requirements while providing near real-time performance for medical image-to-mesh conversion. Tested with two brain aneurysm cases and utilizing up to 96 CPU cores within a single, multicore node on Purdue University’s Anvil supercomputer, the parallel adaptive anisotropic meshing method …


Adaptive Self-Attention For Enhanced Segmentation Of Adult Gliomas In Multi-Modal Mri, Evan P. Savaria, Jiangwen Sun 2026 Old Dominion University

Adaptive Self-Attention For Enhanced Segmentation Of Adult Gliomas In Multi-Modal Mri, Evan P. Savaria, Jiangwen Sun

Computer Science Faculty Publications

Every year there are an estimated 80,000–90,000 new glioma cases, highlighting the need for reliable imaging-based decision support. Although deep learning has improved tumor sub-region segmentation, many state-of-the-art models fail to fully capture complementary information across T1, T1Gd, T2, and FLAIR MRI modalities and often operate as “black boxes,” limiting physician trust when precise delineation is critical for surgical planning, radiation targeting, and treatment monitoring. To address these limitations, we propose AIMS, an Adaptive Integrated Multi-Modal Segmentation framework that maintains modality-specific feature streams and employs adaptive self-attention within a hierarchical CNN-Transformer architecture to prioritize and fuse multi-modal MRI features. We …


Serum Protein Signatures For Breast Cancer Detection In Treatment-Naïve African American Women Using Integrated Proteomics And Pattern Analysis, Padma Tadi Uppala, Elmer Rivera, Hyun J. Kwon, Sharon S. Lum 2026 Andrews University

Serum Protein Signatures For Breast Cancer Detection In Treatment-Naïve African American Women Using Integrated Proteomics And Pattern Analysis, Padma Tadi Uppala, Elmer Rivera, Hyun J. Kwon, Sharon S. Lum

Faculty Publications

Breast cancer is the leading cause of cancer-related mortality in African American (AA) women. In this study we evaluated the serum proteomic profile of AA women with breast cancer using an integrated proteomic framework with multivariate pattern analysis. Using 2D-DIGE, thousands of serum protein spots were detected across 33 gels; 46 spots met criteria for presence, statistical significance, and differential expression. Proteins from the spots were identified by MALDI-TOF/TOF and matched in curated databases, highlighting serum biomarkers including ceruloplasmin, alpha-2-macroglobulin, complement component C3 and C6, alpha-1-antitrypsin, alpha-1B-glycoprotein, alpha-2-HS-glycoprotein and haptoglobin-related protein. LC-MS/MS analysis revealed 163 differentiating peptides after imputing and …


Hyperglycemia Detection From Sigle - Lead Ecg Using A Hybrid Cnn & Transformer Model, Adam Ayomikun Ogunjembola 2026 West Virginia University

Hyperglycemia Detection From Sigle - Lead Ecg Using A Hybrid Cnn & Transformer Model, Adam Ayomikun Ogunjembola

Graduate Theses, Dissertations, and Problem Reports (ETD)

Abstract
Hyperglycemia Detection from Single-Lead ECG using a Hybrid CNN & Transformer Model
Adam Ogunjembola

Diabetes Mellitus is known as high blood glucose. This high blood glucose level happens when the body has a problem with producing or using insulin. Insulin is a very important hormone that the pancreas makes to control how much glucose gets into the bloodstream and cells. Diabetes Mellitus has an effect on the body if it is not treated, such as damaging the blood vessels and nerves which can lead to stroke, kidney failure, heart attack and permanent loss of vision. Since people with diabetes …


Thermoregulation And Associated Disorders: 3pm-Guided Holistic Approach Bridging Innovative And Traditional Chinese Medicine, Zhuo Wang, Liu, Yueqiang Xu, Weijie Cao, Youxin Wang, Haifeng Hou, Xiuhua Guo, Olga Golubnitschaja, Wei Wang, Yuguang Du, Suboptimal Health Study Consortium, European Association for Predictive, Preventive, Personalised Medicine 2026 Edith Cowan University

Thermoregulation And Associated Disorders: 3pm-Guided Holistic Approach Bridging Innovative And Traditional Chinese Medicine, Zhuo Wang, Liu, Yueqiang Xu, Weijie Cao, Youxin Wang, Haifeng Hou, Xiuhua Guo, Olga Golubnitschaja, Wei Wang, Yuguang Du, Suboptimal Health Study Consortium, European Association For Predictive, Preventive, Personalised Medicine

Research outputs 2022 to 2026

Accurately performed thermoregulation is life-important for the human body. Therefore, a relatively narrow temperature range of 36.5–37 °C, which all our biochemical reactions are adapted to, is rigorously kept by the body allowing for the most effective kinetics of all physiological processes. In contrast, feeling inappropriately cold or too hot in the environment with comfortable temperature ranges are symptoms of an altered or even disordered thermoregulation described for a number of syndromes as well as patient cohorts. The rationale of the paper is to contribute to the paradigm shift from reactive to proactive healthcare considering thermoregulation deficits as an important …


Advances In Survival Analyses: Machine Learning Methods And Model Comparison, Ryan Gately, Dharshana Sabanayagam, Wai H. Lim, Lin Zhu, Farzaneh Boroumand, Shuvo Bakar, Armando Teixeira-Pinto, Germaine Wong 2026 Edith Cowan University

Advances In Survival Analyses: Machine Learning Methods And Model Comparison, Ryan Gately, Dharshana Sabanayagam, Wai H. Lim, Lin Zhu, Farzaneh Boroumand, Shuvo Bakar, Armando Teixeira-Pinto, Germaine Wong

Research outputs 2022 to 2026

This is the second article in a 2-part series on survival analysis. In part 1, we discussed the core concepts and traditional methods used in survival analysis. Part 2 explores the novel approaches to predict survival outcomes and evaluate model performance. To facilitate hands-on learning and practical implementation, the R code used in these analyses is provided in the supplementary materials, along with instructions to help readers apply these methods to their data.


Bridging The Gap: Why Circulating Micrornas Have Yet To Become Clinical Biomarkers For Endometriosis, Anisha Addepalli, Mary C. Boyes 2026 Virginia Commonwealth University

Bridging The Gap: Why Circulating Micrornas Have Yet To Become Clinical Biomarkers For Endometriosis, Anisha Addepalli, Mary C. Boyes

Undergraduate Research Posters

Endometriosis is a chronic inflammatory disorder in which endometrial-like tissue grows  outside the uterus, leading to pelvic pain, infertility, and diagnostic delays due to the current  reliance on invasive laparoscopy. Although imaging and hormonal assays offer limited accuracy in diagnosing the disease, circulating microRNAs (miRNAs) in arterial blood have emerged as a  promising alternative method as noninvasive biomarkers because they regulate gene expression,  reflect inflammatory and angiogenic pathways, and remain stable in circulation. I propose  investigating miRNAs such as miR-17-5p, miR-451a, and the let-7 family because of their direct  involvement in the regulation of processes such as cell proliferation, immune …


The Importance Of Hippotherapy: Improving The Lives Of The Disabled Through Alternative Therapy, Jennifer N. Stapleton 2026 Virginia Commonwealth University

The Importance Of Hippotherapy: Improving The Lives Of The Disabled Through Alternative Therapy, Jennifer N. Stapleton

Undergraduate Research Posters

For centuries, horses have been suggested as “healers” and “helpers,” although it wasn’t until the 1900s that horseback riding was scientifically proven as a treatment and rehabilitation method. The exploitation of hippotherapy, the implementation of the three-dimensional pelvic movement stimulated by the oscillation and gait of the horse to combat symptoms of diseases and disorders, has since become a flourishing field of study, but one that is often overlooked. Benefits of hippotherapy often include increased motor neuron function, facilitating proper anatomical alignment, and reducing spasticity. This research analyzes the diverse and dynamic nature of treatment that hippotherapy facilitates, exploring the …


The Myopia Epidemic: Integrating Genetic, Environmental, And Epigenetic Pathways To Define A Critical Window For Intervention, Pranavika Balaji 2026 Virginia Commonwealth University

The Myopia Epidemic: Integrating Genetic, Environmental, And Epigenetic Pathways To Define A Critical Window For Intervention, Pranavika Balaji

Undergraduate Research Posters

Myopia, or nearsightedness, has increased rapidly worldwide and is now a major public health concern caused by both genetic and environmental factors. Current understanding shows that too much near work, limited time spent outdoors, and prolonged screen use contribute to abnormal eye growth in individuals who may already have a genetic predisposition. At the molecular level, epigenetic changes and shifts in DNA activity, often influenced by environmental conditions, affect the signaling pathways that regulate eye development and may help explain why myopia is increasingly common among children. This paper synthesizes recent environmental, genetic, and epigenetic research to explain how these …


Oxytocin Dosing During Trial Of Labor After Cesarean To Minimize The Risk Of Uterine Rupture: A Systematic Review And Meta-Analysis, Pierpaolo Nicolì, Moti Gulersen, Jordan Beacham, Hila Hochler, Alessandra Familiari, Anna Locatelli, Cynthia Abraham, Ettore Cicinelli, Amerigo Vitagliano, Vincenzo Berghella 2026 Thomas Jefferson University

Oxytocin Dosing During Trial Of Labor After Cesarean To Minimize The Risk Of Uterine Rupture: A Systematic Review And Meta-Analysis, Pierpaolo Nicolì, Moti Gulersen, Jordan Beacham, Hila Hochler, Alessandra Familiari, Anna Locatelli, Cynthia Abraham, Ettore Cicinelli, Amerigo Vitagliano, Vincenzo Berghella

Department of Obstetrics and Gynecology Faculty Papers

OBJECTIVE: Oxytocin remains the mainstay for induction and for the management of labor arrest during trial of labor after cesarean (TOLAC). Therefore, the clinical question should be not whether to use oxytocin, but how to optimize its administration. This meta-analysis aimed to assess which oxytocin protocol, in terms of initial dose, amount of increase, timing to next increase, and maximum dose, may minimize the risk of uterine rupture (UR) during TOLAC.

DATA SOURCES: PubMed, Embase and Clinicaltrials.gov were searched up to September 21, 2024.

STUDY ELIGIBILITY CRITERIA: Randomized and nonrandomized studies evaluating the association between induction and/or augmentation with oxytocin …


A Blood-Based Test For Colorectal Cancer Screening, Joshua Cullison 2025 HCA Florida St. Lucie Hospital

A Blood-Based Test For Colorectal Cancer Screening, Joshua Cullison

HCA Healthcare Journal of Medicine

Within the United States (US), colorectal cancer (CRC) remains the fourth most common malignancy and is responsible for over 50 000 deaths annually, second only to lung cancer in cancer mortality. Despite increased public awareness and increasing screening rates, the US remains far below the 80% screening mark set by the National Colorectal Cancer Roundtable at 59%. The addition of non-invasive blood-based tests for CRC screening could potentially increase screening rates and lower CRC deaths.

I performed a PubMed search using the search term “blood-based colorectal cancer screening.” I was particularly interested in articles that looked at Shield, which is …


Cytomegalovirus As A Potential Trigger For Acute Coronary Syndrome: A Case Of Nstemi In A Previously Healthy Patient, Hussam Al Hennawi, Muhammad Sabri, David Teng, Maxwell Berman, Botros Shenoda 2025 Thomas Jefferson University

Cytomegalovirus As A Potential Trigger For Acute Coronary Syndrome: A Case Of Nstemi In A Previously Healthy Patient, Hussam Al Hennawi, Muhammad Sabri, David Teng, Maxwell Berman, Botros Shenoda

Abington Jefferson Health Papers

Cytomegalovirus (CMV) infection has been implicated in endothelial dysfunction and atherogenesis, yet its role as a potential trigger for acute coronary syndrome (ACS) remains underrecognized. We present a case of a 32-year-old male with no prior medical history who developed non-ST elevation myocardial infarction (NSTEMI) and was subsequently found to have active CMV infection. The patient had no known history cardiovascular disease, though subsequent testing did reveal additional underlying risk factors. This case highlights the need to consider infectious etiologies, including CMV, as contributors to ACS in young, otherwise apparently healthy individuals. Understanding the interplay between viral infections and atherosclerotic …


Analysis Of Demand And Supply Of Radiotherapy Services At Dr.M.Djamil General Hospital Padang, Viola Shinta Dewi, Catur Suharinto, Zarni Zamzahar, Yulhaini Yulhaini 2025 Dr. M. Djamil Padang General Hospital

Analysis Of Demand And Supply Of Radiotherapy Services At Dr.M.Djamil General Hospital Padang, Viola Shinta Dewi, Catur Suharinto, Zarni Zamzahar, Yulhaini Yulhaini

Preventia: The Indonesian Journal of Public Health

Around 10 million cases of cancer are discovered in the world per year, and it will continue to increase. Half of cancer cases require radiotherapy as treatment therapy. Dr. M. Djamil General Hospital, Padang, in 2021, has only 1 Cobalt radiotherapy. This study aimed to analyze the demand and supply of radiotherapy services at Dr. M. Djamil General Hospital, Padang. This descriptive study was conducted at Dr. M. Djamil General Hospital, Padang from May to December 2022. Data were analyzed using univariate analysis to describe the variables studied. This study reported that 241 patients were registered and received radiotherapy services. …


The Effect Of Neoadjuvant Chemoradiotherapy On Perioperative Outcomes In Rectal Cancer Patients Following Stoma Reversal-A Retrospective Cohort Analysis, Mary Junak, Rosemarie Turk, Mohammad Afaque Alam, Eli Thompson, David Schaub, Joseph Gunderson, Anesu S. Masango, Srikar Kollipara, Andrea Moreno, Daniom Tecle, Valentine N. Nfonsam 2025 University of Wisconsin-Madison, Madison, WI

The Effect Of Neoadjuvant Chemoradiotherapy On Perioperative Outcomes In Rectal Cancer Patients Following Stoma Reversal-A Retrospective Cohort Analysis, Mary Junak, Rosemarie Turk, Mohammad Afaque Alam, Eli Thompson, David Schaub, Joseph Gunderson, Anesu S. Masango, Srikar Kollipara, Andrea Moreno, Daniom Tecle, Valentine N. Nfonsam

School of Medicine Faculty Publications

BACKGROUND: Anastomotic leak after reversal of an ostomy is a significant complication in rectal cancer patients. The effects of neoadjuvant chemoradiotherapy (NCRT) on outcomes following stoma reversal are not well established. The aim of our study was to evaluate the effect of NCRT on outcomes in rectal cancer patients following stoma reversal. METHODS: We performed a [2005-2012] retrospective cohort analysis of the American College of Surgeons-National Surgical Quality Improvement Program (ACS-NSQIP), including adult (≥18 years) rectal cancer patients who had elective stoma reversal. Patients were stratified into those who received NCRT and those who did not. Primary outcomes were anastomotic …


Inflammatory Co-Regulation Of Voltage-Gated Sodium Channels And Na,K-Atpase In Metastatic Breast Cancer, Steven D. Scahill, Kelly Jean Sherman, Dennis Paul 2025 LSU Health Sciences Center - New Orleans

Inflammatory Co-Regulation Of Voltage-Gated Sodium Channels And Na,K-Atpase In Metastatic Breast Cancer, Steven D. Scahill, Kelly Jean Sherman, Dennis Paul

School of Graduate Studies Faculty Publications

Sodium regulation is a potentially major driver of cancer metastasis. Voltage-gated sodium channels (VGSCs) and Na,K-ATPase are sodium transporters that are upregulated in many advanced carcinomas and are implicated as metastatic drivers. However, little is known about what drives this overexpression, how these proteins influence metastatic behavior, or whether these complementary sodium transporters are co-regulated in cancer. Using sodium transporter regulation in healthy neurons as a model, the present study demonstrated that the inflammatory mediator tumor necrosis factor alpha (TNFα) affects the expression of VGSCs and Na,K-ATPase in an in vitro model of metastatic breast cancer. Acute TNFα challenge increased …


Us Drug Policy Does Not Align With Experts' Rankings Of Drug Harms: A Multi-Criteria Decision Analysis, Michael Broman, Alan K. Davis, Stacey Armstrong, Adam Levin, Kaltum Ahmed, Gustavo A. Angarita, Brooke J. Arterberry, Cecilia Bergeria, Mitch Earleywine, Kathryn S. Gex, Tom Gregoire, Jamey J. Lister, David S. Mathai, Nicky J. Mehtani, Nathan Menke, Charles D. Nichols, Hillary Shaub, Alayna P. Tackett, Brandon Weiss, Nefize Yalin, Lawrence D. Phillips 2025 The Ohio State University, Columbus, OH

Us Drug Policy Does Not Align With Experts' Rankings Of Drug Harms: A Multi-Criteria Decision Analysis, Michael Broman, Alan K. Davis, Stacey Armstrong, Adam Levin, Kaltum Ahmed, Gustavo A. Angarita, Brooke J. Arterberry, Cecilia Bergeria, Mitch Earleywine, Kathryn S. Gex, Tom Gregoire, Jamey J. Lister, David S. Mathai, Nicky J. Mehtani, Nathan Menke, Charles D. Nichols, Hillary Shaub, Alayna P. Tackett, Brandon Weiss, Nefize Yalin, Lawrence D. Phillips

School of Medicine Faculty Publications

Background United States drug policy is primarily based on the Controlled Substances Act of 1970 and largely contradicts scientific evidence about how to mitigate drugs' harms. Expert consensus on drug harms could inform policy that improves the health of people who use drugs while reducing negative societal impacts of drug use. Therefore, this study adapted and extended the relevant 2010 United Kingdom multi-criteria decision analysis, rating drug harms by criteria comprising health and social impacts to people who use drugs and their families, communities, and society.Methods Seventeen experts on drug use in the US, including three with lived experience of …


Mental Health And Beliefs About Abortion Access Following Changes To Reproductive Healthcare Laws In 2022: Findings From Oklahoma, Munjireen S. Sifat, Laili K. Boozary, Tina N. Le, Julia McQuoid, Brittany Zaring-Hinkle, Sarah Tonkin, Lizbeth Benson, Bingjing Mao, Motolani Ogunsanya, Ruosi Shao, Amy M. Cohn, Allyson Shortle, Darla E. Kendzor 2025 Thomas Jefferson University, Philadelphia, PA

Mental Health And Beliefs About Abortion Access Following Changes To Reproductive Healthcare Laws In 2022: Findings From Oklahoma, Munjireen S. Sifat, Laili K. Boozary, Tina N. Le, Julia Mcquoid, Brittany Zaring-Hinkle, Sarah Tonkin, Lizbeth Benson, Bingjing Mao, Motolani Ogunsanya, Ruosi Shao, Amy M. Cohn, Allyson Shortle, Darla E. Kendzor

School of Public Health Faculty Publications

INTRODUCTION: A secondary analysis of cross-sectional survey data was conducted to characterize beliefs about abortion access in Oklahoma, measure stress associated with the overturn of Roe vs. Wade (2022), and evaluate the potential relationship between post-Roe stress (PR stress) and mental health. METHODS: From August through September 2022, adult Oklahomans (N = 1793) were surveyed about their sociodemographic characteristics, beliefs about abortion access, frequency of past-month stress related to the overturn of Roe vs. Wade, and mental health. Beliefs about abortion access were characterized overall and within sociodemographic groups. The relationship between PR stress and mental health was evaluated, and …


Metastatic Uveal Melanoma Surveillance: A Delphi Panel Consensus, Juan Alban, R. Christopher Bowen, David A. Reichstein, Meredith McKean, Jose Lutzky, Ezekiel Weis, Richard D. Carvajal, Susan Dulka, Brian G. Morse, Marcus O. Butler, Suthee Rapisuwon, Kevin B. Kim, Sanjay Chandrasekaran, Allison Betof Warner, Jonathan S. Zager, Bartosz Chmielowski, Sapna P. Patel, Leonel Fernando Hernandez-Aya, Zelia M. Correa, Leslie A. Fecher, Yana G. Najjar, Kamaneh Montazeri, Alexander N. Shoushtari, Asad Javed, Dan S. Gombos, April K. S. Salama, Katy Tsai, Frank H. Miller, Nikhil Khushalani, Rino S. Seedor, Evan J. Lipson, Sunil A. Reddy, Elizabeth Buchbinder, Shailender Bhatia, Anna Pavlick, Inderjit Mehmi, Thomas Aaberg, Alexandra P. Ikeguchi, Ivana K. Kim, Scott D. Walter, Arun D. Singh, Ryan J. Sullivan, Jacob S. Choi, Basil K. Williams, Marlana Orloff, Prithvi Mruthyunjaya, Megan D. Schollenberger, Namita Gandhi, J. William Harbour, Sunandana Chandra 2025 Thomas Jefferson University

Metastatic Uveal Melanoma Surveillance: A Delphi Panel Consensus, Juan Alban, R. Christopher Bowen, David A. Reichstein, Meredith Mckean, Jose Lutzky, Ezekiel Weis, Richard D. Carvajal, Susan Dulka, Brian G. Morse, Marcus O. Butler, Suthee Rapisuwon, Kevin B. Kim, Sanjay Chandrasekaran, Allison Betof Warner, Jonathan S. Zager, Bartosz Chmielowski, Sapna P. Patel, Leonel Fernando Hernandez-Aya, Zelia M. Correa, Leslie A. Fecher, Yana G. Najjar, Kamaneh Montazeri, Alexander N. Shoushtari, Asad Javed, Dan S. Gombos, April K. S. Salama, Katy Tsai, Frank H. Miller, Nikhil Khushalani, Rino S. Seedor, Evan J. Lipson, Sunil A. Reddy, Elizabeth Buchbinder, Shailender Bhatia, Anna Pavlick, Inderjit Mehmi, Thomas Aaberg, Alexandra P. Ikeguchi, Ivana K. Kim, Scott D. Walter, Arun D. Singh, Ryan J. Sullivan, Jacob S. Choi, Basil K. Williams, Marlana Orloff, Prithvi Mruthyunjaya, Megan D. Schollenberger, Namita Gandhi, J. William Harbour, Sunandana Chandra

Department of Radiology Faculty Papers

BACKGROUND/OBJECTIVES: Uveal melanoma is a rare but aggressive intraocular malignancy that metastasizes in up to half of patients, most commonly to the liver, despite effective local treatment. In the absence of robust evidence, there are no standardized guidelines for post-treatment surveillance, resulting in wide variation in imaging modalities, frequency, and duration across physicians and institutions. This study aimed to develop expert consensus recommendations for surveillance strategies in patients with uveal melanoma.

METHODS: A modified Delphi method was conducted across three iterative survey rounds between September 2024 and February 2025 using an online platform. Panelists included medical oncologists, ocular oncologists, radiologists, …


Korelasi Antara Intensitas Doomscrolling Konten Negatif Kehamilan Di Media Sosial Dengan Tingkat Stres Dan Kecemasan Ibu Hamil, Besse Aismaria AM, Yudiarsi Eppang B, Jusniati C 2025 Universitas Graha Edukasi

Korelasi Antara Intensitas Doomscrolling Konten Negatif Kehamilan Di Media Sosial Dengan Tingkat Stres Dan Kecemasan Ibu Hamil, Besse Aismaria Am, Yudiarsi Eppang B, Jusniati C

Perilaku dan Promosi Kesehatan : Indonesian Journal of Health Promotion and Behavior

Background.The rapid development of social media has significantly influenced information-seeking behavior, including among pregnant women. One emerging phenomenon is doomscrolling, defined as the excessive consumption of negative information, which may trigger stress and anxiety.

Aim. This study aimed to analyze the correlation between the intensity of doomscrolling of negative pregnancy-related information on social media and levels of stress and anxiety among pregnant women in Pare-Pare City.

Method. This study employed a quantitative method with a cross-sectional design. The study population consisted of all pregnant women attending antenatal care at public health centers in Pare-Pare City, …


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