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All Journal Scientia Psychiatrica Sriwijaya Journal of Obstetrics and Gynecology Sriwijaya Journal of Neurology Sriwijaya Journal of Otorhinolaryngology
Imanuel Simbolon
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Biochemistry, Genetics & Molecular Biology Dentistry Health Professions Medicine & Pharmacology Neuroscience Nursing Public Health

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Early Detection of Bullying Victimization in Indonesian Adults: A Predictive Scoring System Zahra Amir; Husin Sastranagara; Imanuel Simbolon; Neva Dian Permana; Andi Fatihah Syahrir
Scientia Psychiatrica Vol. 5 No. 4 (2024): Scientia Psychiatrica
Publisher : HM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37275/scipsy.v5i4.180

Abstract

Introduction: Bullying victimization among adults is a pervasive problem with significant mental health implications, including depression, anxiety, and even suicidal ideation. Early detection of individuals at risk is crucial for timely intervention and support. This study aimed to develop and validate a predictive scoring system for bullying victimization in Indonesian adults. Methods: A cross-sectional study was conducted with 1,500 Indonesian adults aged 18-55 years. Data were collected using validated questionnaires, including the Indonesian Workplace Bullying Scale, the Kessler Psychological Distress Scale (K10), and the Rosenberg Self-Esteem Scale. Sociodemographic information and history of adverse childhood experiences were also collected. Logistic regression analysis was used to identify predictors of bullying victimization and develop a predictive scoring system. The model's performance was evaluated using receiver operating characteristic (ROC) curve analysis. Results: The prevalence of bullying victimization in the sample was 18.7%. Significant predictors included female gender, younger age, lower socioeconomic status, history of childhood trauma, low self-esteem, and high psychological distress. The predictive scoring system demonstrated good discriminatory ability, with an area under the ROC curve (AUC) of 0.82 (95% CI: 0.79-0.85). Conclusion: This study provides a validated predictive scoring system for identifying Indonesian adults at risk of bullying victimization. This tool can assist mental health professionals, employers, and policymakers in implementing targeted prevention and intervention programs to mitigate the adverse mental health consequences associated with bullying.
Artificial Intelligence for Early Detection of Motor Neuron Disease Using Gait Analysis and Speech Patterns in Pekanbaru, Indonesia Sari Sulistyoningsih; Louisa Istarini; Dedi Sucipto; Serena Jackson; Agnes Mariska; Linda Purnama; Imanuel Simbolon
Sriwijaya Journal of Neurology Vol. 1 No. 2 (2023): Sriwijaya Journal of Neurology
Publisher : Phlox Institute: Indonesian Medical Research Organization

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59345/sjn.v1i1.28

Abstract

Introduction: Motor neuron disease (MND) is a devastating neurodegenerative disorder characterized by progressive muscle weakness, atrophy, and ultimately, paralysis. This study investigated the potential of artificial intelligence (AI) to detect MND in its early stages using gait analysis and speech pattern recognition in a population in Pekanbaru, Indonesia. Methods: A cross-sectional study was conducted at the Neurology Department of a tertiary referral hospital in Pekanbaru, Indonesia. A total of 150 participants aged 40-75 years were recruited and categorized into three groups. Gait analysis was performed using wearable sensors to collect data on stride length, cadence, swing time, stance time, and gait variability. Machine learning algorithms, including support vector machines (SVM), random forest (RF), and deep learning models like convolutional neural networks (CNN), were trained on the combined gait and speech data to classify participants into the three groups. Results: Significant differences were observed in gait parameters between the MND group and the other two groups. Individuals with MND exhibited shorter stride length (p<0.001), slower cadence (p<0.001), increased swing time variability (p=0.002), and reduced stance time (p=0.003). Speech analysis revealed distinct patterns in the MND group, including reduced speech rate (p<0.001), increased pause duration (p=0.004), and decreased vocal intensity (p=0.001). The AI models, particularly the CNN model, demonstrated high accuracy in differentiating individuals with MND from healthy controls and those with other neurological conditions. The CNN model achieved an accuracy of 94.7%, sensitivity of 92%, specificity of 96%, and an area under the receiver operating characteristic curve (AUC) of 0.98. Conclusion: AI-powered gait analysis and speech pattern recognition show promise as a non-invasive and cost-effective tool for the early detection of MND in Pekanbaru, Indonesia. This technology has the potential to improve diagnostic accuracy and facilitate timely intervention, ultimately enhancing the quality of life for individuals with MND.
Living with Tinnitus: A Qualitative Exploration of Indonesian Patients' Coping Strategies and Support Needs Venny Meilinda; Michelle Birne; Mariana Alifah; Imanuel Simbolon
Sriwijaya Journal of Otorhinolaryngology Vol. 1 No. 2 (2023): Sriwijaya Journal of Otorhinolaryngology
Publisher : Phlox Institute: Indonesian Medical Research Organization

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59345/sjorl.v1i1.32

Abstract

Introduction: Tinnitus, the perception of sound without an external source, affects many people globally. Its causes are varied and often unclear, and it can significantly impact the quality of life, causing distress, sleep problems, and concentration difficulties. This study explored the experiences of Indonesian tinnitus patients, focusing on their coping strategies and support needs. Methods: We conducted semi-structured interviews with 25 Indonesian adults diagnosed with tinnitus. Participants were recruited from otorhinolaryngology clinics in Jakarta and Surabaya. Interviews were audio-recorded, transcribed, and analyzed using thematic analysis. Results: Four main themes emerged: (1) The multifaceted impact of tinnitus: emotional distress, social isolation, and functional limitations; (2) Diverse coping mechanisms: acceptance, sound therapy, and traditional remedies; (3) Perceived support needs: desire for information, counseling, and support groups; and (4) Cultural influences: spiritual beliefs and alternative medicine. Conclusion: This study provides valuable insights into the experiences of Indonesian tinnitus patients. It highlights the need for culturally sensitive and holistic management, including comprehensive support services like information, counseling, and support groups tailored to their needs.
The Impact of the COVID-19 Pandemic on Maternal Mortality Rates in Indonesia: A Retrospective Cohort Study Imanuel Simbolon; Louisa Istarini; Desiree Montesinos; Habiburrahman Said; Yi-Fen Huang
Sriwijaya Journal of Obstetrics and Gynecology Vol. 1 No. 2 (2023): Sriwijaya Journal of Obstetrics and Gynecology
Publisher : Phlox Institute: Indonesian Medical Research Organization

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59345/sjog.v1i1.21

Abstract

Introduction: The COVID-19 pandemic has presented unprecedented challenges to healthcare systems worldwide. Early reports have indicated an increase in maternal mortality rates (MMR) in various settings. This study aims to investigate the impact of the COVID-19 pandemic on MMR in Indonesia, a populous country in Southeast Asia with a high MMR. Methods: A retrospective cohort study was conducted using data from the Indonesian Ministry of Health's Maternal Mortality Surveillance System (MMSS). The study population included all pregnant women who delivered in Indonesia between January 1st, 2018, and December 31st, 2022. Women were categorized into two groups: those who delivered before the pandemic (January 1st, 2018, to February 29th, 2020) and those who delivered during the pandemic (March 1st, 2020, to December 31st 2022). The primary outcome was maternal death. Multivariable logistic regression was used to assess the association between the pandemic period and maternal mortality, adjusting for potential confounders. Results: A total of 1,250,480 deliveries were included in the study. The MMR during the pandemic period was 155 per 100,000 live births, compared to 118 per 100,000 live births pre-pandemic. After adjusting for confounders such as maternal age, socioeconomic status, and access to healthcare, the pandemic period was independently associated with an increased risk of maternal mortality (adjusted odds ratio [aOR] = 1.32; 95% confidence interval [CI], 1.25-1.39). Conclusion: The COVID-19 pandemic was associated with a significant increase in MMR in Indonesia. This highlights the need for continued efforts to strengthen maternal healthcare systems and ensure access to quality care, especially during public health emergencies.
Co-Authors Agnes Mariska Andi Fatihah Syahrir Dedi Sucipto Desiree Montesinos Habiburrahman Said Husin Sastranagara Linda Purnama Louisa Istarini Mariana Alifah Michelle Birne Neva Dian Permana Sari Sulistyoningsih Serena Jackson Venny Meilinda Yi-Fen Huang Zahra Amir