Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Medicosphere

Relationship Between Health-Related Quality of Life (HRQoL) Factors in Patients With Diabetes Mellitus : A Literature Review Satyafebrianti, Kendra Callista; Santoso, Aktaruddin Arief
Journal of Diverse Medical Research: Medicosphere Vol. 2 No. 3 (2025): J Divers Med Res 2025
Publisher : Faculty of Medical - UPN Veteran Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/jdiversemedres.v2i3.52

Abstract

Background: Diabetes mellitus (DM) is a chronic disease that can significantly affect the quality of life of patients. Poor quality of life is often associated with poor disease control, complications, and psychosocial burden. A better understanding of the factors that affect the quality of life of DM patients is essential for designing effective interventions. Objective: This study aims to analyze the relationship between health-based quality of life factors and the condition of diabetes mellitus patients. Method: This study used a literature review method. Researchers collect data through database sources, such as PubMed, Google Scholar, and ScienceDirect. The articles used are in English. The keywords used in the article search are: "heart related quality of life" and "diabetes mellitus". The article search is limited to publications in the last 5 years (2019 to 2024). Results: The results showed that factors such as glycemic control, severity of complications, social support, and depression were significantly associated with the quality of life of patients. Patients with better glycemic control and higher social support reported better quality of life. Conclusion: Overall, the quality of life of diabetes mellitus patients is greatly influenced by various factors, including glycemic control, complications, social support, and psychosocial factors. To improve the quality of life of diabetes patients, it is important to provide a holistic approach that includes good medical management, emotional support, and social interventions that can improve their well-being.
Wastewater Surveillance of SARS-CoV-2 as Monitoring Tool for COVID-19: A Literature Review Satyafebrianti, Kendra Callista; Tedjaprasadja, Leonardo; Durry, Fara Disa; Seliana, Irma
Journal of Diverse Medical Research: Medicosphere Vol. 2 No. 8 (2025): J Divers Med Res 2025
Publisher : Faculty of Medical - UPN Veteran Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Background: The COVID-19 pandemic, caused by SARS-CoV-2, has significantly impacted global health, requiring effective surveillance methods. Wastewater surveillance has emerged as a cost-effective and non-invasive tool to detect viral RNA from both symptomatic and asymptomatic individuals, allowing early detection of outbreaks. Objective: This study analyzes the effectiveness of wastewater surveillance in detecting SARS-CoV-2 RNA in untreated wastewater, comparing it with clinical surveillance and evaluating its role in public health monitoring. Method: A literature review was conducted using PubMed, Google Scholar, and Scopus, focusing on studies published between 2015–2025. Articles were selected based on relevance, availability, and originality, applying the PICO strategy to refine the search. From ten initially identified studies, two were selected for in-depth analysis. Result: The findings demonstrate that wastewater surveillance effectively tracks SARS-CoV-2 trends in communities. A study in Brazil showed a strong correlation between viral loads in wastewater and clinical case trends, proving its potential as an early warning system. Meanwhile, research in Australia confirmed the presence of SARS-CoV-2 in wastewater and estimated infection prevalence using Monte Carlo simulation, aligning with reported clinical cases. These studies highlight wastewater surveillance as a reliable tool for population-wide monitoring. Conclusion: Wastewater surveillance is a proven method for detecting SARS-CoV-2, complementing clinical surveillance by enabling early detection, wider coverage, and cost efficiency. Challenges such as RNA degradation and detection standardization require further research, but integrating RT-qPCR and genomic sequencing enhances its accuracy for future epidemiological monitoring.