Claim Missing Document
Check
Articles

Found 4 Documents
Search

Knowledge, Attitudes, and Practices Regarding Contraception Among Young Women in Urban Indonesia: A Mixed-Methods Approach Hidayat, Rachmat; Cinthya Callathea; Taufiq Indera Jayadi; Maximillian Wilson
Sriwijaya Journal of Obstetrics and Gynecology Vol. 2 No. 1 (2024): 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.v1i2.95

Abstract

Introduction: Unintended pregnancies and unsafe abortions remain significant public health concerns in Indonesia, particularly among young women in urban areas. This study aimed to explore the knowledge, attitudes, and practices (KAP) regarding contraception among young women residing in urban Indonesia, employing a mixed-methods approach to gain an in-depth understanding of this complex issue. Methods: This study used a sequential explanatory mixed-methods design. The quantitative phase involved a cross-sectional survey of 500 young women aged 18-24 years residing in Jakarta, Indonesia. A structured questionnaire assessed their knowledge about various contraceptive methods, attitudes towards contraception, and current contraceptive practices. The qualitative phase comprised in-depth interviews with 30 participants purposively selected from the survey sample to explore their experiences, beliefs, and perspectives on contraceptive use. Quantitative data were analyzed using descriptive statistics and logistic regression, while thematic analysis was employed for qualitative data. Results: The quantitative findings revealed that while the majority of participants had good knowledge about contraception, misconceptions and gaps existed regarding specific methods, particularly long-acting reversible contraceptives (LARCs). Attitudes towards contraception were generally positive, although concerns about side effects and social stigma were prevalent. The prevalence of current contraceptive use was moderate, with condoms and oral contraceptive pills being the most common methods. Qualitative findings provided deeper insights into the factors influencing contraceptive use, including perceived susceptibility to pregnancy, partner communication, family and social influences, access to healthcare services, and religious beliefs. Conclusion: This study highlights the need for comprehensive sexuality education programs tailored to address misconceptions and promote informed decision-making about contraception among young women in urban Indonesia. Strategies to improve access to youth-friendly contraceptive services and address social and cultural barriers to contraceptive use are also essential.
Decoding Deception: Advanced fMRI and Machine Learning Techniques for Detecting Malingered Psychiatric Symptoms in Forensic Evaluations in Indonesia Taufiq Indera Jayadi; Taryudi Suharyana; Vita Amanda; Brenda Jaleel
Sriwijaya Journal of Forensic and Medicolegal Vol. 2 No. 2 (2024): Sriwijaya Journal of Forensic and Medicolegal
Publisher : Phlox Institute: Indonesian Medical Research Organization

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59345/sjfm.v2i2.200

Abstract

Introduction: Detecting malingered psychiatric symptoms presents a significant challenge in Indonesian forensic evaluations, potentially impacting justice and resource allocation. Current methods rely heavily on clinical judgment and psychometric testing, lacking objective biomarkers. This study explored the potential of combining functional magnetic resonance imaging (fMRI) with machine learning (ML) to identify neural patterns differentiating malingered from genuine psychiatric symptoms in an Indonesian forensic context. Methods: This case-control study included 90 Indonesian male participants referred for forensic psychiatric evaluation (visum et repertum psychiatricum): 30 diagnosed genuine psychiatric patients (schizophrenia/psychotic depression), 30 individuals identified as malingerers, and 30 healthy controls. Participants underwent clinical assessment, psychometric testing (including symptom validity tests - SVTs), and an fMRI scan using a symptom-endorsement paradigm designed to probe cognitive control and deception-related neural activity. Preprocessed fMRI data were analyzed using group-level GLM and machine learning (Support Vector Machine - SVM; Random Forest - RF) classifiers trained on extracted features (ROI activation, functional connectivity) to distinguish malingerers. Performance was evaluated using k-fold cross-validation. Results: fMRI results indicated significantly greater activation in the malingering group compared to genuine patients and controls in prefrontal (dlPFC, vlPFC) and anterior cingulate cortex (ACC) regions during feigned symptom endorsement (p<0.001, FWE-corrected). An SVM classifier using combined ROI activation and functional connectivity features achieved the highest accuracy (83%), sensitivity (80%), specificity (86%), and AUC (0.88) in distinguishing malingerers from genuine patients. Conclusion: These findings suggest that integrating fMRI and ML techniques holds promise as an objective, supplementary tool for detecting malingered psychiatric symptoms within Indonesian forensic evaluations. While promising, the moderate accuracy highlights the need for further validation, consideration of ethical implications, and adaptation to the Indonesian context before any potential clinical application.
Beyond the Canopy Cover: A Comparative Mediation Analysis of Green Space Quality versus Quantity on Mental Well-being and Social Cohesion in High-Density Low-Income Neighborhoods Jasmila Tanjung; Maya Enderson; Taufiq Indera Jayadi; Eva Naritawati; Nurul Hanifah; Maximillian Wilson
Scientia Psychiatrica Vol. 6 No. 2 (2025): Scientia Psychiatrica
Publisher : HM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37275/scipsy.v6i3.197

Abstract

Introduction: Rapid urbanization in the Global South has precipitated a mental health crisis, particularly in high-density, low-income neighborhoods where environmental stressors are endemic. While the association between urban green space (UGS) and mental well-being is well-documented, a critical knowledge gap remains regarding the differential impacts of green space quantity (availability) versus quality (usability/biodiversity) and the mediating role of social cohesion. Methods: This cross-sectional study employed a comparative mediation analysis involving 1,240 residents across 15 high-density districts in Jakarta, Indonesia. UGS quantity was measured using satellite-derived Normalized Difference Vegetation Index (NDVI), while quality was assessed using the Quality of Public Open Space Tool (POST). Mental well-being was evaluated using the WHO-5 Index, and physiological stress was quantified via salivary cortisol. Structural Equation Modeling (SEM) was utilized to test the mediating pathways of social cohesion and physical activity. Results: UGS quality demonstrated a significantly stronger direct effect on mental well-being (β = 0.42, p < 0.001) compared to UGS quantity (β = 0.15, p < 0.05). Social cohesion fully mediated the relationship between UGS quality and well-being (Indirect Effect = 0.18, 95% CI [0.12, 0.25]), whereas salivary cortisol levels were inversely associated primarily with UGS quality (β = -0.33, p < 0.001). Conclusion: In resource-constrained urban environments, the quality of green space—defined by safety, amenities, and aesthetics—is a more critical determinant of public mental health than mere vegetative cover.
Quantifying the Boiling Point: A Distributed Lag Non-Linear Analysis of Heatwave Intensity and the 'Thermal Distress' Threshold for Psychiatric Morbidity in an Indonesian Metropolis Taufiq Indera Jayadi; Eva Naritawati; Nurul Hanifah; Maximillian Wilson; Khairiel Anwar; Febria Suryani; Zaki Ahmad
Scientia Psychiatrica Vol. 6 No. 3 (2025): Scientia Psychiatrica
Publisher : HM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37275/scipsy.v6i3.198

Abstract

Introduction: The Indonesian archipelago sits at the forefront of the climate crisis, yet the intersection of heat stress and mental health in this equatorial region remains under-researched. Unlike temperate climates, where heatwaves are sporadic, Indonesian cities face a chronic thermal load exacerbated by the Urban Heat Island effect. Methods: We conducted a retrospective ecological time-series analysis in Jakarta, Indonesia, spanning the period from January 1st, 2014, to December 31st, 2024. Daily psychiatric Emergency Department admissions (Total N = 48,210) were aggregated from three referral hospitals. We utilized a Distributed Lag Non-linear Model combined with a quasi-Poisson regression to correlate admissions with meteorological data from the Indonesian Agency for Meteorology, Climatology, and Geophysics, adjusting for holidays, day of the week, and particulate matter 2.5. Results: The Thermal Distress Threshold was identified at a Wet Bulb Globe Temperature of 29.8°C, reflecting a high degree of physiological acclimatization. Beyond this tipping point, the cumulative Relative Risk for acute psychiatric episodes rose to 1.21 (95% Confidence Interval: 1.14–1.29) at lag 0–3 days. Schizophrenia spectrum disorders showed the highest vulnerability (Relative Risk = 1.26) during the transition season heat spikes. Conclusion: The study establishes a localized thermal threshold for psychiatric emergencies in Indonesia. The findings suggest that high ambient humidity, characteristic of the Indonesian climate, significantly amplifies the psychiatric risk of heat. These results necessitate the integration of psychiatric protocols into the BPJS Kesehatan national health strategy for climate adaptation.