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Anemia In Pregnant Women: Findings From Kuwait Birth Cohort Study, Abdullah Al-Taiar, Ali H. Ziyab, Majeda S. Hammoud, Reem Al-Sabah, Saeed Akhtar

Epidemiology, Biostatistics, & Environmental Health Faculty Publications

Background Anemia is the most common hematologic disorder in pregnancy, affecting over one-third of pregnant women globally. This study aimed to assess the prevalence of anemia in pregnant women and its associated factors in the Kuwait Birth Cohort study.

Methods The Kuwait birth cohort (n = 1,108) was a prospective study in which pregnant women were recruited during their second or third trimester. Data were collected through personal interviews during antenatal care visits, including data on sociodemographic and lifestyle factors. Blood samples were analyzed under strict quality control to measure various laboratory indicators. Anemia was defined as hemoglobin (Hb) < 110 g/L. Predictors of anemia were categorized as underlying or direct factors, and logistic regression models were used to investigate their association with anemia.

Results …

Modeling Non-Normal Distributions With Mixed Third-Order Polynomials Of Standard Normal And Logistic Variables, Mohan D. Pant, Aditya Chakraborty, Ismail El Moudden

Epidemiology, Biostatistics, & Environmental Health Faculty Publications

Continuous data associated with many real-world events often exhibit non-normal characteristics, which contribute to the difficulty of accurately modeling such data with statistical procedures that rely on normality assumptions. Traditional statistical procedures often fail to accurately model non-normal distributions that are often observed in real-world data. This paper introduces a novel modeling approach using mixed third-order polynomials, which significantly enhances accuracy and flexibility in statistical modeling. The main objective of this study is divided into three parts: The first part is to introduce two new non-normal probability distributions by mixing standard normal and logistic variables using a piecewise function of …

The Role Of Doulas In The Health Care Continuum For Pregnant People With Substance Use Disorder: Perspectives Of Patients, Doulas, And Healthcare Providers, Dashaunda Taylor, Derek A. Chapman, Caitlin E. Martin, Cynthia C. F. Romero, Gerard Moeller

Epidemiology, Biostatistics, & Environmental Health Faculty Publications

Objectives/Goals: The goals of this research are to 1) determine the prevalence of perinatal doula services use in Virginia, with a focus on individuals with substance use disorders (SUD), 2) evaluate awareness of doulas among pregnant and postpartum people with SUD, and 3) assess provider knowledge and interaction with doulas for the care of this population. Methods/Study Population: Both quantitative and qualitative methods will be used to evaluate patient and healthcare provider knowledge regarding doula services and the patient–doula–healthcare provider relationship. Surveys and semi-structured interviews will be administered to doulas, pregnant and postpartum women, and healthcare providers in this mixed-methods …

Machine Learning Models For Pancreatic Cancer Survival Prediction: A Multi-Model Analysis Across Stages And Treatments Using The Surveillance, Epidemiology, And End Results (Seer) Database, Aditya Chakraborty, Mohan D. Pant

Epidemiology, Biostatistics, & Environmental Health Faculty Publications

Background: Pancreatic cancer is among the most lethal malignancies, with poor prognosis and limited survival despite treatment advances. Accurate survival modeling is critical for prognostication and clinical decision-making. This study had three primary aims: (1) to determine the best-fitting survival distribution among patients diagnosed and deceased from pancreatic cancer across stages and treatment types; (2) to construct and compare predictive risk classification models; and (3) to evaluate survival probabilities using parametric, semi-parametric, non-parametric, machine learning, and deep learning methods for Stage IV patients receiving both chemotherapy and radiation. Methods: Using data from the SEER database, parametric models (Generalized Extreme Value, …

Psychometric Validation Of Eq-5d-5l In Individuals With Chronic Spinal Cord Injury In China, Haixia Xie, Qi Zhang, Rong Jin, Jianhui He, Xinxing Hu, Yixuan Zhang, Xiaoping Shao, Xiaohong Li, Hua Zhai, Fengshui Chang

Epidemiology, Biostatistics, & Environmental Health Faculty Publications

Objectives

The EQ-5D is a brief measure for assessing health-related quality of life (HRQoL), but chronic spinal cord injury (CSCI) related psychometric evaluation of the EQ-5D-5L has not been explored. We conducted a validation study on the Chinese version of the EQ-5D-5L for individuals with CSCI in China.

Methods

A cross-sectional study was conducted in the Shanghai Sunshine Rehabilitation Center. The floor and ceiling effects, internal consistency, test and retest reliability, discriminatory power (only for EQ-5D-5L), convergent validity (using Spearman correlation coefficients), and known-group validity of the EQ-5D-5L and visual analog scale (VAS) were analyzed.

Results

A total of 271 …

Global, Regional, And National Burden Of Cardiovascular Diseases And Risk Factors In 204 Countries And Territories, 1990-2023, Global Burden Of Cardiovascular Diseases And Risks 2023 Collaborators, Benjamin A. Stark, Nicole K. Decleene, Emily C. Desai, Johnathan M. Hsu, Catherine O. Johnson, Laura Lara-Castor, Kate E. Legrand, Prof Bhoomadevi A., Mohammad Amin Aalipour, Nasir Abbas, Madineh Abbasi, Mohammadreza Abbasian, Hedayat Abbastabar, Abdallah H. A. Abd Al Magied, Samar Abd Elhafeez, Gregory A. Roth, Et Al.

Epidemiology, Biostatistics, & Environmental Health Faculty Publications

Background

Cardiovascular diseases (CVDs) are the leading cause of mortality and are among the foremost causes of disability globally. CVD burden has continued to increase in most countries since 1990, with trends driven by changing exposures to harmful risk factors, population growth, and population aging.

Objectives

We report estimates of global, national, and subnational CVD burden, including 18 subdiseases and 12 associated modifiable risk factors. We analyzed change in CVD burden from 1990 to 2023 and identified drivers of change including population growth, population aging, and risk factor exposure.

Methods

The Global Burden of Disease (GBD) 2023 study, a multinational …

Tagraxofusp Maintenance Post-Hematopoietic Stem Cell Transplantation Provides Long-Term Survival And Manageable Safety For A Patient With Blastic Plasmacytoid Dendritic Cell Neoplasm, Qaiser Bashir, Marina Konopleva, Glorette Abueg, Jeremy Ramdial, Chitra Hosing, Samer A Srour, Amin Alousi, Uday R Popat, Yago Nieto, Gheath Alatrash, Richard E Champlin, Elizabeth J Shpall, Muzaffar Qazilbash, Naveen Pemmaraju

Faculty, Staff and Student Publications

Presented here is the case of a 68-year-old woman with blastic plasmacytoid dendritic cell neoplasm (BPDCN) treated with tagraxofusp (TAG) maintenance therapy post-allogeneic hematopoietic stem cell transplantation (allo-HCT). Prior to allo-HCT, the patient was treated with hydroxyurea and mini-CVD (cyclophosphamide, vincristine, and dexamethasone alternating with methotrexate (Methotrexate) and cytarabine) + venetoclax + TAG for 5 cycles, which induced morphologic complete remission with minimal residual disease. After allo-HCT, the patient had persistent cytogenic abnormalities 45,XX,der(7)add(7)(p13)del(7)(q11.2q22)add(7)(q32),add(12)(p13),-15,del(16)(q23),-17,+22,+2mar[1]/46,XX[19], and was then treated with TAG maintenance therapy at 9 mg/kg on a 28-day cycle for 16 cycles. At mid-treatment (cycle 6 of 16 cycles of …

State Of The States: Blueprints For Building Age-Friendly Futures, Megan Stubbs-Richardson, Lauren E. Etheredge, Tockie V. Hemphill, Zaccheus J. Ahonle, Danielle K. Nadorff

Publications

Executive Summary:

Mississippi’s aging population growth mirrors national trends and suggests a need to establish equitable and sustainable age-friendly policies and programs. This report offers an overview of the best practices from age-friendly states, which can be adapted to meet unique challenges and opportunities for Mississippi’s aging population. We highlight five age-friendly policy areas that can improve Mississippi’s livability.

• Aging in Place: Best practices from California, Florida, and Massachusetts can be adapted to promote aging in place through structural changes to homes via universal design and home modifications, or through supportive housing programs and home care.

• Cross-Sector Collaboration: …

Vaccines And Publics: A Variety Of Engagement Experiences, David H. Lee

Publications and Research

This chapter is about some of the sites and scenes where members of the public are exposed to (and engage in) vaccination discourse. To preview, after a brief introduction, we begin with messaging models of communication, followed by the move from messaging to engagement. Next, case examples of public engagement with vaccines are introduced, from pandemic influenza preparedness in the U.S., to polio eradication initiatives in India, and then to COVID-19 public engagement events in England. Settings of public engagement are noted, including online, in churches and museums. Then, there’s a section about communication and public participation, seen as either …

Minds, Made Up Or Malleable? Covert Commands At The Eclipse Of Vaccine Communications, David H. Lee

Publications and Research

Abstract: Although millions have died from SARS-CoV-2 illness, COVID vaccines are credited with stemming the tide. Vaccinations and boosters significantly decrease the incidence of severe illness and death (even if they don’t usually prevent COVID-19 infection). Despite the success of global vaccination efforts, frequent reports of vaccine hesitance and refusal suggest that public health communications need improvement.

The chapter begins by acknowledging adverse events associated with COVID vaccination, including rare cases of anaphylaxis, GBS, and myocarditis. An inoculation-theoretic rationale is offered for this admission of vaccine risks: just as immune defenses mount when organisms are exposed to pathogens, so too …

Quantifying Multidimensional Effects Of Physicochemical Parameters On Pfas Adsorption Using A Hybrid Response Surface Methodology-Machine Learning Approach, Harsh V. Patel, Jazmin Green, John Park, Stephanie Luster-Teasley Pass, Renzun Zhao

Engineering Management & Systems Engineering Faculty Publications

Per- and polyfluoroalkyl substances (PFAS) contamination has posed a significant environmental and public health challenge due to their ubiquitous nature. Adsorption has emerged as a promising remediation technique, yet optimizing adsorption efficiency remains complex due to the diverse physicochemical properties of PFAS and the wide range of adsorbent materials. Traditional modeling approaches, such as response surface methodology (RSM), struggled to capture nonlinear interactions, while standalone machine learning (ML) models required extensive datasets. This study addressed these limitations by developing hybrid RSM-ML models to improve the prediction and optimization of PFAS adsorption. A comprehensive dataset was constructed using experimental adsorption data, …

The Process And Significance Of Convening A Community Advisory Board With Individuals With Severe Mental Illness, Jacelyn Biondo, Nia Johnson

Department of Medicine Faculty Papers

Individuals with lived experience of being diagnosed with severe mental illness and/or substance use disorders have deep and profound knowledge regarding the culture and needs of their community. Historically, these and other vulnerable populations have been excluded from care access, treatment insights, research development and participation, and often society in general. In this paper, we share our experience of convening a community advisory board with vulnerable populations and highlight the expertise these community members provide. We outline our processes of convening the community advisory board, engaging in collaborative meetings, revising the research protocol, and exploring future research needs. Using meeting …

A Data-Driven Sliding-Window Pairwise Comparative Approach For The Estimation Of Transmission Fitness Of Sars-Cov-2 Variants And The Construction Of The Evolution Fitness Landscape, Md Jubair Pantho, Richard Annan, Landen Alexander Bauder, Sophia Huang, Letu Qingge, Hong Qin

Computer Science Faculty Publications

Estimating the transmission fitness of SARS-CoV-2 variants and understanding their evolutionary fitness trends are important for epidemiological forecasting. Existing methods are often constrained by their parametric natures and do not satisfactorily align with the observations during COVID-19. Here, we introduce a sliding-window data-driven pairwise comparison method, the differential population growth rate (DPGR) that uses viral strains as internal controls to mitigate sampling biases. DPGR is applicable in time windows in which the logarithmic ratio of two variant subpopulations is approximately linear. We apply DPGR to genomic surveillance data and focus on variants of concern (VOCs) in multiple countries and regions. …

Cath-Ddg: Towards Robust Mutation Effect Prediction On Protein-Protein Interactions Out Of Cath Homologous Superfamily, Guanglei Yu, Xuehua Bi, Teng Ma, Yaohang Li, Jianxin Wang

Computer Science Faculty Publications

Motivation: Protein-protein interactions (PPIs) are fundamental aspects in understanding biological processes. Accurately predicting the effects of mutations on PPIs remains a critical requirement for drug design and disease mechanistic studies. Recently, deep learning models using protein 3D structures have become predominant for predicting mutation effects. However, significant challenges remain in practical applications, in part due to the considerable disparity in generalization capabilities between easy and hard mutations. Specifically, a hard mutation is defined as one with its maximum TM-score < 0.6 when compared to the training set. Additionally, compared to physics-based approaches, deep learning models may overestimate performance due to potential data leakage.

Results: We propose new training/test splits that mitigate data leakage according to the CATH homologous superfamily. Under the constraints of physical …

Harnessing Big Heterogeneous Data To Evaluate The Potential Impact Of Hiv Responses Among Key Populations In Sub-Saharan Africa: Protocol For The Boloka Data Repository Initiative, Refilwe Nancy Phaswana Mafuya, Edith Phalane, Amrita Rao, Kalai Willis, Katherine Rucinski, K. Alida Voet, Amal Abdulrahman, Claris Siyamayambo, Betty Sebati, Mohlago Seloka, Musa Jaiteh, Lerato Lucia Olifant, Katharine Journeay, Haley Sisel, Xiaoming Li Ph.D., Bankole Olatosi Ph.D., Neset Hikmet, Prashant Duhoon, Francois Wolmarans, Yegnanew A. Shiferaw, Lifutso Motsieloa, Mashudu Rampilo, Stefan Baral

Faculty Publications

Background: In South Africa, there is no centralized HIV surveillance system where key populations (KPs) data, including gay men and other men who have sex with men, female sex workers, transgender persons, people who use drugs, and incarcerated persons, are stored in South Africa despite being on higher risk of HIV acquisition and transmission than the general population. Data on KPs are being collected on a smaller scale by numerous stakeholders and managed in silos. There exists an opportunity to harness a variety of data, such as empirical, contextual, observational, and programmatic data, for evaluating the potential impact of HIV …

Longitudinal Assessments Of Viral Rebound Among People With Hiv In South Carolina: A Population-Based Cohort Study, Jiayang Xiao, Xueying Yang Ph.D., Yunqing Ma, Bankole Olatosi Ph.D., Sharon Weissman, Xiaoming Li Ph.D., Jiajia Zhang Ph.D.

Faculty Publications

Routinely monitoring viral rebound (VR) is important in the life course of people with HIV (PWH). This study examined risk factors for time to the first VR, the number of VRs and their association with VR history in men who have sex with men (MSM). It includes 8176 adult PWH diagnosed from January 2005 to December 2018, followed until July 2021. We used the Cox model for time to the first VR, the Poisson model for a number of VRs, and logistic regression for VR history in MSM. Younger individuals (50–59 years vs 18–29 years, aHR: 0.43, 95% CI: [0.34, …

Longitudinal Viral Load Clustering For People With Hiv Using Functional Principal Component Analysis, Yunqing Ma, Xueying Yang Ph.D., Jiayang Xiao, Xiaoming Li Ph.D., Bankole Olatosi Ph.D., Jiajia Zhang Ph.D.

Faculty Publications

Background: Longitudinal measures of viral load (VL) are critical in monitoring the HIV status. While multiple lab indicators exist for monitoring measures of VL, research on clustering historical/longitudinal VL measures is limited. Analyzing longitudinal VL patterns rather than aggregated measures offers deeper insights into HIV status. This study uses functional data clustering to classify longitudinal VL patterns and characterize each cluster by demographics, comorbidities, social behaviors, and CD4 count.

Methods: Adult PWH diagnosed from 2005 to 2015 in South Carolina with a 5-year minimum follow-up were included. We compared functional principal component analysis (FPCA), K-means, hierarchical clustering, and Gaussian mixture …

Temporal Changes In Racial Disparities Of Hiv Linkage To Care From 2013 To 2020: A Statewide Cohort Analysis, Fanghui Shi, Katherine E. Weaver, Chen Zhang, Bankole Olatosi Ph.D., Jiajia Zhang Ph.D., Sharon Weissman, Xiaoming Li Ph.D., Xueying Yang

Faculty Publications

Background: Racial disparities have historically existed regarding HIV care outcomes, including linkage to care. This study aims to explore the contribution of contextual features (e.g., socioeconomic and structural environmental factors) to the temporal change of county-level racial disparities in linkage to care.

Methods: This is a statewide population-based retrospective cohort study. The patient-level variables in the South Carolina HIV registry system were used to calculate the aggregated county-level linkage to care percentage. Then, we used four indices to measure racial disparities in the county-level percentage of timely linkage to care, i.e., the Black-White ratio, index of disparity (ID), weighted ID, …

General Kernel Machine Methods For Multi-Omics Integration And Genome-Wide Association Testing With Related Individuals, Amarise Little, Ni Zhao, Anna Mikhaylova, Angela Zhang, Wodan Ling, Florian Thibord, Andrew D. Johnson, Laura M. Raffield, Joanne E. Curran, John Blangero

School of Medicine Publications

Integrating multi-omics data may help researchers understand the genetic underpinnings of complex traits and diseases. However, the best ways to integrate multi-omics data and use them to address pressing scientific questions remain a challenge. One important and topical problem is how to assess the aggregate effect of multiple genomic data types (e.g. genotypes and gene expression levels) on a phenotype, particularly while accommodating routine issues, such as having related subjects' data in analyses. In this paper, we extend an existing composite kernel machine regression model to integrate two multi-omics data types, while accommodating for general correlation structures amongst outcomes. Due …

Formation, Operation, And Maintenance Of A Community Advisory Board For Research With Lgbtq+ Parents, Aubrey Jones, Olivia S. Yinger, Rachel H. Farr, Keisa Fallin-Bennett, Sabrina Beiring, Cassi Crouse, Carolyn Greenstrom

Transforming Communities

Community-engaged research is becoming increasingly popular to promote health equity. Objective: The purpose of this paper is to describe the formation, operation, and maintenance of a community advisory board (CAB) of LGBTQ+ parents and healthcare providers who work with LGBTQ+ parents. Method: Using Newman and colleagues outline, we describe the formation, operation, and maintenance phases of our CAB process. Inclusion criteria for CAB members is as follows, CAB members must be 18 years of age or older, live in the U.S., and (a) self-identify as LGBTQ+ and have had a child in the NICU more than five years prior to …

Faktor Determinan Kasus Diabetes Mellitus Tipe 2 Di Kabupaten Administrasi Kepulauan Seribu Provinsi Dki Jakarta Tahun 2023, Ulinuha Setya Darmawanti

Jurnal Epidemiologi Kesehatan Indonesia

Kepulauan Seribu Administrative District has the highest Diabetes Mellitus Incidence Rate compared to other areas in the DKI Jakarta Province, which is 317.4 per 10,000 residents. The purpose of this research is to identify the determinant factors that most influence cases of Type 2 Diabetes Mellitus in the Kepulauan Seribu in 2023, based on the relationship between factors such as Age, Gender, Occupation, History of Diabetes Mellitus, Body Mass Index (BMI), Excessive Sugar Consumption, Excessive Salt Consumption, Excessive Fat Consumption, Insufficient Fruit and Vegetable Intake, and Lack of Physical Activity. This research employs an analytical observational study method with a …

The Impact Of Smoking Degree On One Year Survival Of Non-Small Cell Lung Cancer (Nsclc) At Persahabatan Hospital, Arief Wicaksono, Asri C. Adisasmita, Andika Chandra Putra

Jurnal Epidemiologi Kesehatan Indonesia

Lung cancer is a major global mortality problem with the worst prognosis compared to other types of cancer. Non-small cell lung cancer (NSCLC) is the most common type of lung cancer and smoking is one of the main factors causing lung cancer. This study aims to determine the one-year survival of NSCLC patients with smoking levels and to determine what factors affect survival. This study is an observational study with a retrospective method, looking at medical record data of NSCLC patients both inpatients and outpatients at Persahabatan Hospital between January 2023 and December 2023 and then followed up until September …

Faktor Risiko Yang Berhubungan Dengan Hipertensi Pada Jemaah Haji Embarkasi Banjarmasin Kalimantan Selatan 2024, Nani Nani, Helda Helda, Khansa Raf Raf

Jurnal Epidemiologi Kesehatan Indonesia

Hypertension is a silent killer that is a major contributor to deaths worldwide every year. Hypertension is identified as one of the comorbidities that are often found in pilgrims. Various risk factors can play a role in the occurrence of hypertension. The purpose of this study is to analyze the risk factors that most significantly contribute to hypertension in Banjarmasin embarkation pilgrims in 2024. The research was carried out with a cross sectional design that utilizes secondary data sourced from the Integrated Hajj Computerized System related to health services during Hajj. The proportion of hypertension in Banjarmasin embarkation pilgrims in …

Hubungan Antara Hipertensi Dan Kematian Pasien Covid-19 Di Layanan Rawat Inap Rsud Tarakan Tahun 2022 (Association Between Hypertension And Mortality Of Covid-19 Inpatients At Tarakan Regional General Hospital In 2022), Karina Widyasari, Mondastri Korib Sudaryo

Jurnal Epidemiologi Kesehatan Indonesia

Coronavirus Disease 2019 (COVID-19) is an infectious disease caused by the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). COVID-19 was the leading disease in terms of the highest number of hospital admissions and cause of death at the Tarakan Regional General Hospital (RSUD Tarakan) in 2022. COVID-19 patients who received treatment at the hospital were often individuals with underlying conditions, such as hypertension. Therefore, it is important to conduct research on comorbidities, specifically hypertension, and its relationship to COVID-19 mortality at the RSUD Tarakan’s inpatient in 2022, so the hospital can design spesific care plans for COVID-19 patients with hypertension. …

Asosiasi Antara Indeks Massa Tubuh Dan Mortalitas Pada Pasien Gagal Ginjal Kronis Yang Menjalankan Hemodialisa Reguler: Meta-Analisis Dari Studi Kohort, Joue Abraham Trixie Latupeirissa, Mondastri Korib Sudaryo, Dorothy Gabriella Ms., Benedikta Suryandari Ms., Vine Aprilianita Sri Indah Putri Ms.

Jurnal Epidemiologi Kesehatan Indonesia

Chronic kidney failure patients must undergo hemodialysis for life, therefore it is important to maximize hemodialysis services in every health facility. Accordingly, factors related to survival rates must be addressed. One of them is low Body Mass Index (BMI). This study assessed the relationship between low BMI and mortality in the patients. The study design used was meta-analysis. The articles involved were in the period 2012 - 2024. There are three literature sources: medical databases, previous studies, and ongoing research. Overall, 26 articles were obtained. Data analysis showed that BMI

Faktor-Faktor Yang Berhubungan Dengan Asfiksia Neonatus: Studi Kasus Kontrol Di Rsud Kabupaten Serang, Banten, Indonesia, Husnul Khotimah, Yosi Yusrotul Khasanah, Nur Arofah

Jurnal Epidemiologi Kesehatan Indonesia

Asphyxia in newborns is a common and serious cause of neonatal morbidity and mortality nationally and internationally. Risk factors for asphyxia can be seen from maternal and infant factors. The purpose of this study was to determine the risk factors in mothers and infants and to analyze which factors have the most influence on asphyxia. This study is a quantitative analytical study with a case-control approach. The number of case samples was 53 infants who experienced asphyxia and 53 control (1:1) infants so that the total sample was 106 infants. The variables studied were parity, Low Birth Weight (LBW), preeclampsia, …

The Correlation Of Covid-19 Vaccination With Covid-19 Patient Mortality In Depok City, Indonesia, Dian Nugrahari, Asri Adisasmita Prof, Nurhanifah Hamdah

Jurnal Epidemiologi Kesehatan Indonesia

Vaccination is a disease prevention method recommended by the WHO as it will reduce disease severity, mortality rate and risks. The objective of this study is to discover the impact of COVID-19 vaccination against COVID-19 mortality rate in Indonesia. This was a retrospective cohort research on the data from the NAR COVID-19 database and the KPCPEN COVID-19 Dashboard of the Depok City Health Department from May 2020-February 2023. We performed a Cox proportional hazard analysis to obtain the risk for death. We discovered that COVID-19 vaccination reduced the mortality until it was less than 10% of unvaccinated population (0,24% for …

Factors Affecting The Adoption Of Malaria Interventions For Pregnant Women In Tanzania: Tanzania Demographic Health Survey 2022, Melisa Nyamukondiwa, Asri C. Adisasmita, Renti Mahkota, Same Betera

Jurnal Epidemiologi Kesehatan Indonesia

Tanzania is endemic to malaria and pregnant women due to their vulnerability are among the high-risk groups. The adoption of malaria interventions targeted to pregnant women is affected by a number of factors. A cross-sectional study using secondary data from Tanzania Demographic Health Survey (TDHS) for 2022 was used. A logistic regression was used for bivariate analysis to identify factors affecting the adoption of malaria interventions during pregnancy in Tanzania. Data from pregnant women between 15 to 49 years (N=1408) were analyzed in this study. Insecticide treated nets (ITNs) and intermittent preventive therapy in pregnancy using sulfadoxine-pyrimethamine (IPTp-SP) were the …

A Growing Concern: Long Commutes And Mental Fatigue Among Workers, Dayana Hazwani Mohd Suadi Nata, Putri Anis Syahira Mohamad Jamil, Mira Nursabrina Muhammad Rawee

Makara Journal of Health Research

Background: Commuting stress is a growing concern for workers with long daily journeys between home and work. This study explores the effects of commuting on workers’ mental and physical health, focusing on stress, mental fatigue, and productivity at work.

Methods: The research conducted in Selangor, Malaysia, involved 212 commuters who completed a survey that included sociodemographic and commuting information, the Depression Anxiety and Stress Score (DASS-21), and a mental fatigue questionnaire.

Results: The findings revealed that a significant proportion of workers experienced stress from their commuting routines: approximately 74.5% reported that commuting had a detrimental effect on …

Association Between Knowledge, Attitude, And Practice On Dietary Fiber Intake And Body Mass Index Among Undergraduate Students In Universiti Kebangsaan Malaysia, Arimi Fitri Mat Ludin, Munirah Ismail, Mohd Sham Othman, Divya Vanoh, Chai Huoy Tyng, Irdina Ibrahim, Jasmine Lavang Surang, Muhammad Adam Jayiddin, Noor Afiifah Ibrahim, Nur Arina Shazrina Abdullah, Nur Athirah Harun, Nur Fatihah Rashidi, Lew Leong Chen

Makara Journal of Health Research

Background: A fiber-rich diet lowers the risk of various diseases by increasing fecal bulk, shortening intestinal transit time, and stimulating intestinal flora. This study examines the association between knowledge, attitude, and practice (KAP) regarding dietary fiber intake and body mass index (BMI) among Dentistry and Software Engineering undergraduates.

Methods: This cross-sectional study included 95 Dentistry and 92 Software Engineering students at the Universiti Kebangsaan Malaysia. The KAP questionnaire was analyzed for its reliability using Cronbach’s alpha and distributed through email.

Results: Most respondents had normal weight. The Software Engineering students had a higher percentage of overweight and …