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Afriani, Nita
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Fructose Intake Related with Serum Uric Acid Level in Young Adults Desmawati, Desmawati; Fasrini, Ulya Uti; Afriani, Nita; Sulastri, Delmi
Jurnal Gizi dan Pangan Vol. 14 No. 3 (2019)
Publisher : The Food and Nutrition Society of Indonesia in collaboration with the Department of Community Nutrition, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (228.31 KB) | DOI: 10.25182/jgp.2019.14.3.135-140

Abstract

This study aimed to clarify the correlation of fructose intake with uric acid level and blood pressure in young adults. This study used a cross-sectional design, conducted in Padang, West Sumatera province of Indonesia in 2014. The subjects consist of 109 students of Medical Faculty of Andalas University, aged 18–23 years old, were randomly selected to participate. Data on fructose intake were obtained using food frequency questionnaire. Uric acid levels was determined by the enzymatic colorimetric method. Resting blood pressure was measured twice using a sphygmomanometer. Data were analyzed using Rank-Spearman correlation test. The median of fructose intake was 74.3 g (min 23.4–max 160.2). The median of systolic blood pressure was 117 mmHg (min 100–max 145) and median of diastolic blood pressure was 70 mmHg (min 60–max 90). The mean uric acid levels was 5.2±1.56  mg/dl and 25% of the male subject had high uric acid levels. Fructose intake had no significant correlation with SBP (r=0.026; p=0.851) nor with DBP (r=0.051; p=0.712).  However, there was a strong correlation between fructose intake with uric acid level (r=0.660; p<0.001). The study found that fructose intake shows a strong correlation with uric acid level but not with blood pressure in young adult.
EFEKTIVITAS KERANGKA KONVENSI TENTANG KECERDASAN BUATAN: STUDI KASUS PENYEBARAN DISINFORMASI BERBASIS AI DI PILPRES TAIWAN 2024 EFFECTIVENESS OF THE ARTIFICIAL INTELLIGENCE CONVENTION FRAMEWORK: CASE STUDY OF AI-BASED DISINFORMATION SPREAD IN THE 2024 TAIWAN PRESIDENTIAL ELECTION Ismawati, Isma; Panjaitan, Binsar Pandapotan; Septiadi, M Niki; Afriani, Nita; Putri Sugiarto, Ramadhina Eka; Kurniawan, Rendy
PETITA Vol 7, No 2 (2025): PETITA VOL. 7, NO. 2 DESEMBER 2025
Publisher : Universitas Riau Kepulauan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33373/pta.v7i2.8736

Abstract

Efektivitas Framework Convention on Artificial Intelligence (FCAI) masih menghadapi keterbatasan nyata dalam mengatasi disinformasi berbasis AI, sebagaimana terlihat pada Pilpres Taiwan 2024 ketika deepfake dimanfaatkan untuk membentuk persepsi publik serta mengancam hak-hak dasar. Walaupun ketentuan dalam konvensi mulai dari tuntutan transparansi hingga perlindungan hak asasi telah menyediakan landasan normatif yang kuat untuk menjaga integritas demokrasi, keberhasilannya tetap bergantung pada komitmen negara-negara dalam meratifikasi dan menerapkan standar tersebut secara konsisten di tingkat nasional. Kelemahan pada mekanisme pengawasan, penegakan sanksi, dan penyelesaian sengketa lintas yurisdiksi menunjukkan bahwa kerangka ini masih memerlukan penguatan agar dapat menanggapi tantangan global yang cepat berkembang. Dalam konteks meningkatnya jumlah pengguna AI di seluruh dunia dan maraknya penyalahgunaan teknologi, termasuk propaganda deepfake di berbagai pemilu, urgensi ratifikasi FCAI termasuk oleh Indonesia menjadi semakin jelas. Tanpa adopsi dan implementasi yang luas, konvensi ini berpotensi tetap bersifat deklaratif tanpa dampak nyata. Karena itu, diperlukan reformasi yang mencakup audit terbuka, sanksi yang lebih tegas, serta mekanisme resolusi konflik yang kokoh untuk memastikan bahwa perkembangan AI dapat benar-benar digunakan untuk melindungi hak asasi manusia, menjamin kedaulatan informasi, dan menjaga proses demokrasi agar tetap adil serta stabil.
Correlation of HbA1c with Lipid Profile in Type 2 Diabetes Febryanto, Muhammad Desto Habibi; Pertiwi, Dian; Permana, Hendra; Kurniawan, Eka; Husni; Afriani, Nita
Frontiers on Healthcare Research Vol. 3 No. 1 (2026)
Publisher : Rumah Sakit Umum Pusat (RSUP) Dr. M. Djamil

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63918/fhr.v3.n1.p72-78.2026

Abstract

Background: Type 2 diabetes mellitus (T2DM) is typically in line with dyslipidaemia, which substantially increases cardiovascular risk. Glycated haemoglobin (HbA1c) reflects long-term glycaemic control and has been proposed as a potential surrogate marker for lipid abnormalities. However, evidence regarding the correlation between HbA1c and lipid profile components remains inconsistent, particularly in Southeast Asian populations. This study aimed to evaluate the correlation between HbA1c levels and lipid profile parameters among patients with T2Dm treated at a tertiary referral hospital in Indonesia. Methods: A cross-sectional analytic study was conducted using medical record data from 68 patients with T2DM. HbA1c levels and lipid profile parameters–including total cholesterol, high-density lipoprotein (HDL) cholesterol, low-density lipoprotein (LDL) cholesterol, and triglycerides–were analysed. Data normality was assessed using the Kolmogorov–Smirnov test. Spearman’s rank correlation test was applied to determine the correlation between HbA1c and lipid profile components. Results: The median HbA1c level was 8.70% (range: 4.90–14.70%), indicating suboptimal glycaemic control. Median lipid profile values were 203.50 mg/dL for total cholesterol, 55.50 mg/dL for HDL cholesterol, 115.00 mg/dL for LDL cholesterol, and 138.50 mg/dL for triglycerides. Correlation analysis revealed no statistically significant association between HbA1c levels and any lipid profile component. Conclusion: HbA1c levels were not significantly correlated with lipid profile parameters in patients with T2DM. These findings suggest that glycaemic control alone may not adequately reflect lipid-related cardiovascular risk, underscoring the need for comprehensive cardiometabolic assessment in patients with T2DM.
Co-Authors A, Armilah Abdillah, Tegar Annisa, Fadillah Ardiyani, Fenika Asri, Ennesta Azhari, Annida Delmi Sulastri Desmawati Desmawati Dessy Arisanty Dian Pertiwi Dyahastuti, Meis Efri Gresinta Elmatris Sy Endrinaldi Erlina Rustam Febriani, Agilia Febryanto, Muhammad Desto Habibi Gardenia Akhyar Gusti Revilla Hamidah, Nida Handini, Nurul Hasana, Imroatun Hendra Permana Husna Yetti Husni Ida Rahmah Burhan Ismawati, Isma Kamalya, Farhah Millaty Kurniawan, Eka Kurniawan, Rendy Laila Isrona Listyowati, Sri Magza, Dekasih Tria Maulana Yusuf Nasution, Novita Sari Noverika Windasari Panjaitan, Binsar Pandapotan Putra Santoso Putri Sugiarto, Ramadhina Eka Rauza Sukma Rita Restu Susanti RIKA RAFFIUDIN Safitri, Rizky Ulfa Rini Sari, Anisha Purnama Septiadi, M Niki Setiana, Pragiwati Tiffany, Begum Tofrizal Ulya Uti Fasrini Usiono Usiono Widjaja, Mochammad Chandra