Article Per Year (5 Year)
p-Index From 2021 - 2026
2.133
P-Index
This Author published in this journals
All Journal Majalah Kedokteran Bandung MNJ (Malang Neurology Journal) Jurnal Ilmu Kefarmasian Indonesia Journal Pharmasci (Journal of Pharmacy and Science) International Journal of Advanced Health Science and Technology Jurnal Ilmiah Ibnu Sina (JIIS): Ilmu Farmasi dan Kesehatan AKSONA Jurnal Keperawatan Magna Neurologica
Islamiyah, Wardah Rahmatul
Departemen Neurologi, Fakultas Kedokteran, Universitas Airlangga; RS Universitas Airlangga, Surabaya, Indonesia
Biochemistry, Genetics & Molecular Biology Chemistry Electrical & Electronics Engineering Health Professions Immunology & microbiology Medicine & Pharmacology Neuroscience Nursing Public Health

Published : 13 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 13 Documents
Search

 1   2 
Clinical Approach to Differentiating Epileptic Seizures from Bipolar Disorder Islamiyah, Wardah Rahmatul; Putera, Rudolph Muliawan
Majalah Kedokteran Bandung Vol 57, No 3 (2025)
Publisher : Faculty of Medicine, Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15395/mkb.v57.4022

Abstract

Distinguishing between epileptic seizures and bipolar disorder in clinical setting presents a significant challenge due to overlapping symptoms and the complex mechanism underlying both conditions. This study offers a novel perspective by integrating the latest research and clinical practices to explore this intricate diagnostic landscape. Unlike previous studies that primarily focused on isolated aspects, this study synthesizes recent advancements in neuroimaging, wearable technology, and machine learning to enhance diagnostic accuracy. Data sources searched were Google Scholar, PubMed, and ScienceDirect using the keywords of ‘epileptic seizures’, ‘bipolar disorder’, ‘diagnosis’, ‘neuroimaging’, ‘wearable technology’, and ‘machine learning’. Following the Preferred Reporting Item for Systematic Review and Meta-Analysis (PRISMA) methodology, the findings highlight how the variability of mood episodes and their resemblance to seizure activity often complicate differential diagnosis. Moreover, they underscore the potentials of emerging technologies, such as real-time monitoring via wearable devices and AI-driven diagnostic tools, in refining current clinical approaches. This study emphasizes the necessity of clinic awareness regarding subtle but crucial distinctions between bipolar disorder and epileptic seizures. By leveraging continuous monitoring and data-driven insights, an innovative framework that combines clinical expertise with advanced technology is proposed, paving the way for more precise and effective diagnostic methods.
An Analysis of Chronotype and Cognitive Function in Pre-Clinical Medical Students at Universitas Airlangga Prayogo, Hana Evangelin; Islamiyah, Wardah Rahmatul; Irwadi, Irfiansyah; Setyowatie, Sita
AKSONA Vol. 6 No. 1 (2026): JANUARY 2026
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/aksona.v6i1.70271

Abstract

Highlight: The intermediate chronotype was most common among 2020-2021 medical students at Universitas Airlangga, followed by the morning type and the evening type No significant differences in TMT A, TMT B, or PVT scores were observed among the morning, intermediate, and evening chronotypes. Chronotype showed no significant relationship with cognitive outcomes, likely because medical students adapt to rigorous demands requiring sustained focus throughout the day.   ABSTRACT Introduction: Chronotype refers to an individual’s predisposition to engage in activities at specific times of the day. Numerous studies have explored the relationship between chronotype and cognitive function, yet the findings vary across different populations. Objective: This study aimed to identify chronotypes among medical students at Universitas Airlangga and to assess differences in cognitive function and attentional performance between these chronotypes. Methods: We selected participants using a stratified random sampling technique, focusing on cognitive function, attention, and chronotype. Those who met the inclusion criteria provided informed consent and completed the Morningness-Eveningness Questionnaire to determine their chronotype. A total of 65 participants completed the questionnaire and then underwent Trail Making Tests (TMT) A and B at times tailored to their chronotypes: 08:00-10:00 for morning types, 16:00-18:00 for evening types, and 12:00-13:00 for intermediate types. The Psychomotor Vigilance Test (PVT) was uniformly administered between 08:00-10:00. Data were collected and analyzed using Kruskal-Wallis and one-way ANOVA. Results: Of the 65 participants, 18 were identified as morning types, 42 as intermediate types, and 5 as evening types. No significant differences were observed in TMT A or B performance (p > 0.05). Similarly, the PVT results, which assessed lapses, false starts, and average reaction time, showed no significant differences among the three chronotypes (p > 0.05). Conclusion: The intermediate chronotype was the most prevalent among medical students at Universitas Airlangga, followed by morning and evening types. No significant differences were observes in TMT and PVT outcomes across the chronotypes.
The Prevalence and Association of Stress with Sleep Quality during the COVID-19 Pandemic among Medical Students at Airlangga University Adhitya Rizky Nugraha; Fidiana Fidiana; Khairina Khairina; Wardah Rahmatul Islamiyah
International Journal of Advanced Health Science and Technology Vol. 3 No. 1 (2023): February
Publisher : Forum Ilmiah Teknologi dan Ilmu Kesehatan (FORITIKES)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijahst.v3i1.215

Abstract

The COVID-19 pandemic requires students to adapt to circumstances and cause various kinds of psychological problems during a pandemic outbreak. Some may experience stress, insomnia or hypersomnia. There are many factors causing poor sleep quality in students, including psychological problems such as stress which can worsen the quality of student’s sleep during the COVID-19 pandemic. This study aims to prove that there is a relationship between stress and the sleep quality of medical students at Airlangga University during the COVID-19 pandemic. This study is an observational analytic study using the cross-sectional design to assess the relationship between stress and sleep quality of respondents using the Pittsburgh Sleep Quality Index (PSQI) and Depression, Anxiety, Stress Scale - 42 (DASS-42) questionnaires. The research subjects were active pre-clinical students in the medical study program, Faculty of Medicine, Airlangga University, totaling 280 students who were divided into 3 batches, namely Class of 2019, Class of 2020, and Class of 2021. From the results of the study, it was found that 84.7% of students experienced poor sleep quality and a normal stress level of 55.5%. Sleep quality and stress levels are related to each other. This is proven by the Spearman rank analysis, which shows sleep quality is related to the stress level with a p-value = 0.000 and rho = 0.230. Based on these results, it was concluded that sleep quality and stress level have a positive correlation. The researcher expects that the institution will be able to use the study's findings as information about student stress levels and sleep quality in order to prevent stress and poor sleep or to implement health-related stress management programs for students.
Co-Authors Abu Bakar Achmad Firdaus Sani, Achmad Firdaus Adhitya Rizky Nugraha Basyarahil, Rayhan Muhammad Budiono Budiono Ersifa Fatimah Fatimah, Ersifa Fidiana Fidiana Iin Ernawati Iin Ernawati Irwadi, Irfiansyah Jordan, Danny Randy Khairina Khairina Kusumastuti, Kurnia MARIA BINTANG Pikir, Budi Sustyo Pradani, Erwindy Yastika Prastiya Indra Gunawan Prayitno, Jongky Hendro Prayogo, Hana Evangelin Pudji Lestari Putera, Rudolph Muliawan Rivania, Mutiara Rizqia Sita Setyowatie Swatan, Jovian Philip Wyono, Oktaviani Putri Yunitasari, Fitria Dewi Yuswanto, Andis Zahra, Farah Az