Claim Missing Document
Check
Articles

Found 4 Documents
Search

Analisis Korelasi Antara Indeks Massa Tubuh (BMI), Homa-Ir dan Insulin pada Wanita dengan Sindrom Ovarium Polikistik Zaman, Thomy Al Jabbari; Siahaan, Salmon Charles Pardomuan Tua; Santoso, Rosalyn Devina; Adipranoto, Gladys; Arisanti, Raden Roro Shinta
Bahasa Indonesia Vol 6 No 1 (2025): Prominentia Medical Journal
Publisher : Universitas Ciputra Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37715/pmj.v6i1.5747

Abstract

Abstrak Sindrom Ovarium Polikistik (PCOS) merupakan gangguan endokrin yang sering dijumpai pada wanita usia reproduktif, ditandai oleh anovulasi, hiperandrogenisme, dan morfologi ovarium polikistik. Kondisi ini juga sering berkaitan dengan resistensi insulin dan peningkatan indeks massa tubuh (BMI), sehingga penting untuk mengevaluasi hubungan antara BMI, HOMA-IR, dan kadar insulin. Penelitian ini bertujuan untuk membandingkan karakteristik klinis dan metabolik antara wanita sehat dan penderita PCOS, serta menganalisis hubungan antara BMI, HOMA-IR, dan kadar insulin pada kelompok PCOS. Penelitian observasional analitik ini menggunakan desain potong lintang dengan total 24 subjek (12 sehat, 12 PCOS). Data dikumpulkan melalui pemeriksaan klinis dan laboratorium, dan dianalisis menggunakan uji Chi-Square untuk data kategorik, serta uji T dan korelasi Pearson untuk data numerik. Hasil menunjukkan perbedaan signifikan antara kelompok sehat dan PCOS dalam hal anovulasi, hiperandrogenisme, dan morfologi ovarium polikistik (p = 0,000). Selain itu, kelompok PCOS menunjukkan BMI dan HOMA-IR yang lebih tinggi secara bermakna (p = 0,003 dan p = 0,000). Pada kelompok PCOS, terdapat korelasi positif yang signifikan antara BMI dan HOMA-IR (r = 0,711; p = 0,010), serta antara BMI dan insulin, maupun HOMA-IR dan insulin. Disimpulkan bahwa wanita dengan PCOS memiliki profil metabolik yang lebih buruk, dengan hubungan yang kuat antara peningkatan BMI dan resistensi insulin.   Kata kunci: Sindrom Ovarium Polikistik, Indeks Massa Tubuh, Resistensi Insulin   Abstract Polycystic Ovary Syndrome (PCOS) is an endocrine disorder that affects women of reproductive age. It is often associated with insulin resistance and increases in body mass index (BMI). This study aims to analyze the correlation between BMI, HOMA-IR, and insulin levels in women with PCOS. This study also compares clinical and metabolic characteristics of these women with those of healthy women. This cross-sectional observational study involved 24 participants consisting of 12 women with PCOS and 12 health women. Clinical and laboratory data were analyzed using Chi-Square test, t-test, and Pearson correlation. The PCOS group showed significantly higher rates of anovulation, hyperandrogenism, and polycystic ovarian morphology (p = 0.000), as well as increased BMI and HOMA-IR (p = 0.003 and p = 0.000). Significant positive correlations were found between BMI, HOMA-IR, and insulin levels in the PCOS group. Women with PCOS tend to exhibit a poorer metabolic profile, characterized by elevated BMI and insulin resistance.   Keywords: Polycystic Ovary Syndrome, Body Mass Index, Insulin Resistan  
Prognostic Performance Of Artificial Intelligence Models In Predicting 12-Week Healing of Chronic Wounds: A Systematic Review And Meta-Analysis Jeany Thalia Hartono; Fanny Evasari Lesmanawati; Rosalyn Devina Santoso
The International Journal of Medical Science and Health Research Vol. 21 No. 4 (2025): The International Journal of Medical Science and Health Research
Publisher : International Medical Journal Corp. Ltd

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70070/ewjesj02

Abstract

Introduction Chronic wounds pose a substantial health burden, requiring intensive, long-term management and carrying a high risk of debilitating complications. Accurate prognosis regarding the probability and rate of healing within the critical 12-week timeframe is essential for optimizing specific care strategies and ensuring the effective allocation of scarce medical resources. Artificial Intelligence (AI), particularly through its foundation in Machine Learning (ML), offers significant potential to enhance prognostic accuracy by rigorously processing vast quantities of Electronic Medical Record (EMR) data and advanced wound imagery. Methods This systematic review and meta-analysis was conducted in strict adherence to the PRISMA 2020 reporting guidelines. Included studies specifically evaluated AI models designed to predict chronic wound healing outcomes within 12 weeks. The methodological quality of these studies was critically assessed using the specialized Prediction Model Risk of Bias Assessment Tool for Artificial Intelligence (PROBAST+AI). Quantitative synthesis was executed to determine the pooled discrimination performance metric, the Area Under the Curve (AUC), and to measure the independent effects of key predictors using pooled Hazard Ratios (HR). Results The analysis incorporated two large-scale primary studies boasting high data volumes, alongside several supporting methodological studies. The resultant pooled AUC for AI models reached 0.805 (95% CI: 0.778–0.832), definitively confirming significant prognostic capability. Specifically, models utilizing Gradient-Boosted Decision Tree (GBDT) algorithms achieved an AUC of 0.853, a performance level that substantially outperformed conventional Logistic Regression models (AUC 0.712). Assessment utilizing PROBAST+AI consistently highlighted systemic methodological quality issues, predominantly stemming from weak internal validation within the Analysis Domain, which consequently elevated the Overall Risk of Bias. The pooled HR analysis, synthesizing data for 10 critical prognostic predictors, confirmed that local wound characteristics are the paramount determinants of prognosis. High-Grade Wound Depth (Stage 3/4) was identified as the single strongest inhibitor of healing (HR 0.65 (95% CI: 0.59–0.71)), whereas Normal/Good Vascularization Status represented the strongest accelerator (HR 1.30 (95% CI: 1.22–1.39)). Discussion and Conclusion The prognostic performance demonstrated by AI models is statistically significant and definitively exceeds that of conventional statistical methods. This heightened accuracy is attributed to the inherent capacity of non-linear models to effectively capture complex multi-variable interactions central to wound healing pathophysiology. Notwithstanding the encouraging performance metrics, the documented high risk of overfitting due to analytical bias necessitates strict and rigorous external validation prior to any extensive clinical implementation.
Gambaran Pengetahuan, Sikap, dan Perilaku Siswa SMA terhadap Kesehatan Reproduksi setelah Edukasi Kesehatan Seksual di SMA Karang Turi Semarang Denys Putra Alim; Gladys Adipranoto; Rosalyn Devina Santoso; Dhea Medisika Hertanti; Debby Victoria Arief; Purwakaning Purnomo Agung
Jurnal Pengabdian Masyarakat Kedokteran Vol 5, No 2 (2026): May 2026
Publisher : Fakultas Kedokteran, Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30659/abdimasku.5.2.72-83

Abstract

Remaja merupakan kelompok usia yang rentan terhadap permasalahan kesehatan reproduksi akibat keterbatasan pengetahuan, sikap, dan perilaku yang tepat. Pengabdian masyarakat ini bertujuan untuk menggambarkan pengetahuan, sikap, dan perilaku siswa terhadap kesehatan reproduksi setelah diberikan edukasi kesehatan seksual di SMA Karang Turi Semarang. Pengabdian masyarakat ini menggunakan desain deskriptif dengan pendekatan one post-test only. Responden berjumlah 70 siswa, terdiri dari 35 siswa laki-laki dan 35 siswa perempuan. Pengumpulan data dilakukan menggunakan kuesioner yang mencakup aspek pengetahuan, sikap, dan perilaku kesehatan reproduksi. Hasil pengabdian masyarakat menunjukkan bahwa tingkat pengetahuan responden berada pada kategori sedang hingga baik dengan nilai rerata 65,71 dan median 70, meskipun masih ditemukan miskonsepsi terkait penularan HIV dan rendahnya pengetahuan mengenai vaksinasi HPV. Sikap responden terhadap kesehatan reproduksi secara umum menunjukkan kecenderungan positif, terutama pada pentingnya menjaga kebersihan organ reproduksi dan pendidikan seksual sejak remaja. Namun demikian, perilaku pencegahan kesehatan reproduksi belum sepenuhnya optimal, terutama pada penggunaan kondom dan pemeriksaan kesehatan reproduksi secara rutin. Kesimpulannya, edukasi kesehatan seksual memberikan gambaran bahwa siswa memiliki pengetahuan yang cukup baik dan sikap yang positif, namun belum sepenuhnya diikuti oleh perilaku yang optimal. Oleh karena itu, diperlukan pengembangan edukasi kesehatan seksual yang lebih komprehensif dan berkelanjutan untuk mendorong perubahan perilaku kesehatan reproduksi pada remaja.Adolescents are a vulnerable age group to reproductive health problems due to limited knowledge, attitudes, and appropriate behaviors. This community service activity aimed to describe students’ knowledge, attitudes, and behaviors regarding reproductive health after receiving sexual health education at SMA Karang Turi Semarang. This activity used a descriptive design with a one post-test only approach. A total of 70 students participated, consisting of 35 male and 35 female students. Data were collected using a questionnaire covering aspects of knowledge, attitudes, and reproductive health behaviors. The results showed that the respondents’ level of knowledge ranged from moderate to good, with a mean score of 65.71 and a median of 70. However, misconceptions regarding HIV transmission and low awareness of HPV vaccination were still identified. Overall, students’ attitudes toward reproductive health were generally positive, particularly regarding the importance of maintaining reproductive organ hygiene and the need for sexual education from adolescence. Nevertheless, preventive reproductive health behaviors were not yet optimal, especially in terms of condom use and routine reproductive health check-ups. In conclusion, sexual health education provides an overview that students have fairly good knowledge and positive attitudes; however, these are not yet fully reflected in optimal behaviors. Therefore, more comprehensive and sustainable sexual health education is needed to promote behavioral changes in adolescent reproductive health.
Pengetahuan Guru Biologi Sekolah Menengah Atas (SMA) dalam Menangani Siswa Terluka di Sekolah Rosalyn Devina Santoso; Hebert Adrianto; Antonius Yansen Suryadarma; Marsekal Sherdy
Jurnal Ilmu Multidisiplin Vol. 5 No. 2 (2026): Jurnal Ilmu Multidisplin (Juni - Juli 2026)
Publisher : Green Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/jim.v5i2.2160

Abstract

Siswa dapat mengalami kejadian luka selama beraktivitas belajar di sekolah. Guru memiliki peran strategis sebagai orang pertama yang memberikan pertolongan pertama sebelum dilanjutkan tenaga medis. Tujuan penelitian ini adalah menganalisisnya adanya perbedaan bermakna antara nilai pre-test dengan post-test pengetahuan guru biologi Sekolah Menengah Atas dalam menangani siswa terluka di sekolah. Studi berupa pra-eksperimen pada 40 guru biologi Sekolah Menengah Atas se-Sidoarjo. Peserta diberikan pre-test, kemudian diberikan edukasi. Selesai edukasi, peserta mengerjakan kembali post-test. Data pre-test dan post-test dianalisis dengan perangkat lunak JAMOVI, menggunakan analisis Wilcoxon Signed-rank test. Hasil didapatkan ada perbedaan bermakna antara nilai pre-test [median (min-maks) = 75 (50-100)] dengan post-test [90 (60-100)] pengetahuan guru biologi Sekolah Menengah Atas dalam menangani siswa terluka di sekolah (p <0,001). Simpulan pengetahuan guru meningkat setelah diberikan edukasi. Studi selanjutnya adalah guru biologi perlu diberikan pelatihan pertolongan pertama pada luka.