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All Journal Jurnal Kesehatan Budi Luhur: Jurnal Ilmu-Ilmu Kesehatan Masyarakat, Keperawatan, dan Kebidanan JOURNAL EDUCATIONAL OF NURSING(JEN)
Sugandi, Erwin Santoso
Unknown Affiliation
Health Professions Medicine & Pharmacology Nursing Public Health Social Sciences

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The Influence of Ultra-Processed Food on Childhood Obesity: A Systematic Review Kusmiati, Evie; Sugandi, Erwin Santoso; Lubis, Syahroni; Hayati, Intan Masita; Nasrullah, Muhammad Hudzaifah
JOURNAL EDUCATIONAL OF NURSING(JEN) Vol 8, No 1 (2025): Journal Educational of Nursing (JEN)
Publisher : STIKes RSPAD RSPAD Gatot Soebroto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37430/jen.v8i1.243

Abstract

Purpose: This study aims to evaluate the impact of ultra-processed food (UPF) consumption on the risk of obesity in children through a systematic review of studies published between 2019 and 2024.Methodology: Using a Systematic Literature Review (SLR) method with the PRISMA approach, this study screened 319 articles from the Scopus database, ultimately selecting 13 relevant articles based on inclusion and exclusion criteria using the PICOC framework.Findings: A significant correlation exists between UPF consumption and childhood obesity risk. UPFs are associated with elevated BMI, increased waist circumference, nutrient deficiency, and addictive eating patterns. Socioeconomic status, educational setting, and advertising exposure exacerbate these adverse outcomes.Research Limitations: The primary constraints encompass methodological discrepancies across the analyzed studies, an absence of longitudinal data, and restricted applicability of findings to developing nations.Practical Implications: These findings endorse the development of evidence-based nutrition policies, including food labeling and UPF advertising restrictions for children.Originality: This research introduces a novel "3P" intervention framework (Product, Place, Promotion) for regulating UPF consumption, incorporating biological and social variables into a holistic analytical model.
The Quality of Digital Radiography Images of The Sacrum Is Influenced by X-Ray Exposure Factors Suharlim, Edwin; Kusmiati, Evie; Sugandi, Erwin Santoso; Pratama, Adhitya; Hamidah, Mila Aulia
Jurnal Kesehatan Budi Luhur: Jurnal Ilmu-Ilmu Kesehatan Masyarakat, Keperawatan, dan Kebidanan Vol. 19 No. 1 (2026): January 2026
Publisher : STIKes Budi Luhur Cimahi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62817/jkbl.v19i1.433

Abstract

Digital radiography of the sacrum requires precise adjustments of exposure parameters (kV, mA, time) to produce high-quality images while minimizing radiation exposure. This study aims to investigate how these exposure factors affect the quality of sacral images and to recommend optimal settings that align with radiation safety principles such as ALARA. By reviewing the existing literature, it was found that the modification of exposure parameters (kV, mA, time) in digital radiography is essential for achieving optimal image quality while minimizing radiation exposure. The exposure index (EI) serves as an indirect measure of the dose absorbed by the detector, thereby facilitating the implementation of the ALARA principles. Properly orienting the AEC chamber can reduce radiation dose by up to 44% without compromising image quality. Tube voltage and current adjustment enhances image contrast and sharpness. Nonetheless, inconsistent exposure methods and dependence on presets can still lead to dose creep. It is essential to train radiographers, adjust equipment settings, and set Diagnostic Reference Levels (DRLs) to enhance imaging quality and ensure patient safety. In digital radiography, factors such as tube voltage (kV), tube current (mA), and exposure time (s/mAs) significantly affect image quality and patient radiation dose. Adjusting exposure settings according to patient characteristics and exam objectives enhances image quality and reduces radiation exposure, particularly in sensitive areas like the sacrum. Technologies such as Exposure Index (EI), Automatic Exposure Control (AEC), and image analysis software facilitate an objective method that follows the ALARA principle, ensuring patient safety while optimizing diagnostic outcomes.
Co-Authors Hamidah, Mila Aulia Hayati, Intan Masita Kusmiati, Evie Lubis, Syahroni Nasrullah, Muhammad Hudzaifah Pratama, Adhitya Suharlim, Edwin