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A Pilot Study to Unveiling the Link Between Physical Fitness and Cognitive Health in Early Vs. Late Diagnosed Diabetic Patients Arbind Kumar Choudhary; Yogendra Raj Singh; Pramod Kumar; Altaf Ahmad Mir; Ashutosh Kumar Mishra
Asian Journal of Health Research Vol. 3 No. 2 (2024): Volume 3 No 2 (August) 2024
Publisher : Ikatan Dokter Indonesia Wilayah Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55561/ajhr.v3i2.178

Abstract

Introduction: Diabetes mellitus is a common chronic health condition that adversely affects various organ systems. However, its influence on physical fitness and cognitive health has yet to be thoroughly investigated, especially the timing of diagnosis. Material and Methods: For our analysis, we examined 40 diabetic patients and divided them into two groups based on how long they had been diagnosed: early (≤ 5 years) and late (≥ 6 years). Participants were subjected to a battery of physical fitness tests, including evaluations of upper and lower body strength, Coordination, and aerobic endurance. Additionally, cognitive assessments such as the Addenbrooke's Cognitive Examination, Mini-Mental State Examination, and Montreal Cognitive Assessment were administered. The data were analyzed by conducting independent sample t-tests to compare the two groups. Results: The study revealed notable disparities between the groups diagnosed early and those diagnosed late. Individuals who were diagnosed later experienced less favorable results in physical fitness evaluations, including handgrip strength, 6-minute walk distance aerobic endurance, and heart rate variability, as well as lower scores in all cognitive assessments. These findings suggest that a prolonged period of untreated diabetes can have detrimental effects on both physical and cognitive health outcomes. Conclusion: To preserve both physical and cognitive functions, it is crucial to diagnose and manage diabetes early. The significance of prompt intervention has the potential to shape future recommendations on the treatment and detection of diabetes to enhance health outcomes.
Affordable Housing, Urban Analytics, and Inclusive Infrastructure Planning Herlawati Herlawati; rahmadya trias handayanto; Teddy Mantoro; Media Anugerah Ayu; Nitin Kumar Tripathi; Pramod Kumar
Journal of Intelligent Systems for Community Development Vol. 1 No. 1 (2026): 2026: JISCoDe Volume 1 Issue 1 Year 2026
Publisher : Indonesian Artificial Neural Network Society

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Abstract

Affordable housing, particularly in developing countries such as Indonesia, has become a major government priority through the Ministry of Housing and Residential Areas of the Republic of Indonesia. Adequate housing does not function in isolation but must be supported by complementary infrastructure such as commercial areas, roads, transportation networks, healthcare facilities, and other public service centers. Housing development should therefore be inclusive by adopting a mixed-use development approach and avoiding overly rigid zoning systems, since each land-use category is interconnected with and dependent on other land-use types. To address this challenge, urban analytics is required. This study applies land-use optimization based on four key objectives: compactness, compatibility, dependency, and suitability. By implementing clustering techniques, several potential central nodes were identified as suitable hubs for specific land-use types, including commercial centers, vertical residential districts, and industrial zones.