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Journal : Jurnal Riset Rumpun Ilmu Kesehatan (JURRIKES)

Korelasi antara Kadar Insulin dalam Darah dengan Kekuatan Otot Tangan Kanan dan Kiri pada Kelompok Lanjut Usia Kosasih, Robert; Frisca Frisca; Santoso, Alexander Halim; Destra, Edwin; Gunaidi, Farell Christian; Jap, Ayleen Nathalie; Gracienne Gracienne
JURNAL RISET RUMPUN ILMU KESEHATAN Vol. 4 No. 1 (2025): April : Jurnal Riset Rumpun Ilmu Kesehatan
Publisher : Pusat riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jurrikes.v4i1.4881

Abstract

Muscle strength is the ability of muscles to produce power for physical activity, important for mobility, balance and body function. Decreased muscle strength, especially due to aging, negatively impacts quality of life and increases the risk of diseases such as diabetes and cardiovascular disease. Handgrip is a simple method for measuring muscle strength, especially hand grip strength. This study aims to evaluate the relationship between hand grip strength and blood insulin levels in the elderly. This study used a cross-sectional design at the Bina Bhakti Nursing Home with 93 participants aged 60 years and over. Hand grip strength was measured using a dynamometer, and blood insulin levels were measured from venous blood samples. Data were analyzed using Spearman correlation. The results showed an average right hand grip strength of 10.23 kg and left hand 9.33 kg, with an average blood insulin level of 4.83 µU/mL. A significant positive correlation was found between right and left hand grip strength (rho = 0.884, p < 0.001), as well as between right (rho = 0.218, p = 0.036) and left hand grip strength (rho = 0.290, p = 0.005) and insulin levels. blood. These results indicate that hand grip strength can be an indicator of metabolic health in the elderly. Interventions such as strength training and proper nutrition are important for maintaining muscle strength and metabolic health in the elderly.
Multifactorial Risk Assessment: LDL Level, Fasting Blood Glucose, Uric Acid, Triglycerides, and TG/HDL Ratio as Predictors of Framingham Risk Score for Hard Coronary Heart Disease Priyana, Andria; Santoso, Alexander Halim; Jap, Ayleen Nathalie; Andersan, Jonathan; Warsito, Jonathan Hadi
JURNAL RISET RUMPUN ILMU KESEHATAN Vol. 4 No. 2 (2025): Agustus : Jurnal Riset Rumpun Ilmu Kesehatan
Publisher : Pusat riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jurrikes.v4i2.5056

Abstract

. The Framingham Risk Score (FRS) assesses coronary heart disease (CHD) risk and predicts acute coronary events. Metabolic markers like LDL cholesterol, fasting blood glucose, uric acid, triglycerides, and TG/HDL ratio play critical roles in atherosclerosis and cardiovascular risk. Elevated LDL cholesterol, fasting blood glucose, and uric acid contribute to plaque formation, inflammation, and vascular damage, while high triglycerides and low HDL cholesterol exacerbate atherogenesis. This study explores the relationship between these markers and FRS to enhance CHD risk prediction and support targeted cardiovascular interventions. This study analyzed LDL cholesterol, fasting blood glucose, uric acid, triglycerides, and TG/HDL ratio with Framingham Risk Score in 85 participants, excluding those with incomplete data or chronic illnesses. The analysis found significant correlations between metabolic parameters and the 10-year myocardial infarction risk. LDL cholesterol, triglycerides, and uric acid showed moderate positive associations with cardiovascular outcomes, while the triglyceride-to-HDL ratio and fasting blood glucose had weaker but significant correlations. These findings highlight lipid profiles and metabolic markers as key contributors to cardiovascular risk. This study highlights significant correlations between LDL cholesterol, fasting blood glucose, uric acid, triglycerides, and the triglyceride/HDL ratio with 10-year cardiovascular risk. These findings emphasize the importance of lipid profiles, glycemic control, and metabolic markers in predicting coronary outcomes and guiding targeted preventive interventions for improved cardiovascular risk management.