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All Journal Heart Science Journal KESANS : International Journal of Health and Science
Prasetyo, Hersati
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Chemistry Health Professions Immunology & microbiology Medicine & Pharmacology Physics Public Health

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Knowledge level of the Society about Fear of Missing Out Through Webinar in COVID-19 Pandemic Prasetyo, Hersati; Putu Agus Arsana, I; Dewi Tri Utami, Mahrumi; Nur Indiastuti, Danti
Jurnal KESANS : Kesehatan dan Sains Vol 1 No 5 (2022): KESANS : International Journal of Health and Science
Publisher : Rifa'Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54543/kesans.v1i5.44

Abstract

The COVID-19 pandemic situation causes many people to be confined at home and triggers people to tend to spend more time accessing social media. Social media basically shows activities carried out by other people and this can trigger the phenomenon of Fear of Missing Out (FoMO). The purpose of this study is to know the level of knowledge of the Indonesian society about the FoMO and how to overcome it in the era of the COVID-19 pandemic. This study is a type of descriptive survey study; it describes the level of society knowledge about FoMO through webinars during the COVID-19 pandemic. The sample is 779 people who have met the inclusion and exclusion criteria. The data was obtained through a google form which was distributed to webinar participants, then processed and described in the form of a distribution table of respondents along with the average post-test results on a scale of 7 and 100 for the age group. The collected data were 779 respondents from different age groups (12-55 years). All existing age groups can answer more than half of the questions correctly. The average of questions answered correctly was almost the same in all age groups, with the 41–45-year-old group being in the top position. The average post-test result from all age ranges was 69.57. The average level of society knowledge about the FoMO phenomenon and how to solve it through webinar in the COVID-19 pandemic which was known from the post-test scores did not show much different results between each age range. This shows that all age ranges have the same susceptibility to experiencing FoMO.
Blood urea nitrogen as outcome predictor in acute coronary syndrome: A systematic review and meta-analysis Chandra, Graciela Natalia; Hendrawan, Fandi; Prasetyo, Hersati
Heart Science Journal Vol. 7 No. 2 (2026): The Evolving Landscape of Heart Failure
Publisher : Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.hsj.2026.007.02.9

Abstract

BACKGROUND: Predicting outcomes in acute coronary syndrome (ACS) remains challenging, as established risk scores often require variables that are unavailable in low-resource healthcare settings. Blood urea nitrogen (BUN) has demonstrated prognostic value in predicting cardiovascular disease outcomes, such as heart failure and infective endocarditis. However, no meta-analysis has yet evaluated its predictive role in ACS. This study evaluated the prognostic utility of BUN for mortality and major adverse cardiac events (MACE) in ACS. METHODS: A systematic review and meta-analysis were conducted using literature from PubMed, Cochrane, and Web of Science. Risk of bias was assessed using the Risk Of Bias In Non-randomized Studies-of Exposures (ROBINS-E) tool. Pooled analysis of hazard ratios (HR) was calculated utilizing a random-effects model based on restricted maximum likelihood method. Subgroup analysis and meta-regression were performed. Sensitivity analysis was done using graphical display of study heterogeneity. RESULTS: Ten studies consisting of 7,238 participants were included. Elevated BUN was associated with heightened risk of MACE and mortality (HR: 1.05, 95% CI: 1.03–1.07, p=0.0011) and remained significant after excluding two outlier studies (HR: 1.04, 95% CI: 1.02–1.05, p=0.0002). Univariate meta-regression identified age, hypertension, and diabetes as potential covariates (p=0.112, 0.221, and 0.194). Multivariate analysis revealed no independent predictors. CONCLUSION: BUN may serve as a promising biomarker for predicting MACE and mortality in ACS, particularly in resource-limited settings. Further research is needed to compare its performance with established biomarkers or traditional scoring systems.
Co-Authors Chandra, Graciela Natalia Dewi Tri Utami, Mahrumi Hendrawan, Fandi Indiastuti, Danti Nur Putu Agus Arsana, I