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Potential of Olive Oil Extract (Olea europaea) For Affecting Lipid Profile, Lipid Oxidative and Fatty Liver on Hiperlipemic Rats (Rattus norvegicus) Hanifwati, Annisa; Marhendra, Agung Pramana Warih; Aulanni'am, Aulanni'am
The Journal of Experimental Life Science Vol. 9 No. 2 (2019)
Publisher : Graduate School, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jels.2019.009.02.12

Abstract

Olive oil (Olea europaea) contains 55 to 83% oleic acid which is a single chain unsaturated fatty acid or mono-unsaturated fatty acid (MUFA), and 2% phenolic components in the form of hydroxytyrosol and tyrosol. This study aims to determine the potential of olive oil extract (Olea europaea) in reducing cholesterol and malondialdehyde levels, along with inhibiting fatty liver development in hiperlipemic rats. Sixteen rats were divided into four groups, the first group was healthy control group, the second group was positive control group, received a high-fat diet containing 100 mg of cholesterol powder, 25 mg of cholic acid powder and 1 mL of quail egg yolk for 28 days. Third and fourth treatment groups were received for 28 days, plus 0.828 g (1 mL) and 1.656 g (2 mL) of olive oil extract daily for 14 days, respectively. The measurement of total cholesterol used cholesterol test strips based on oxidation enzyme reaction cholesterol esterase and cholesterol oxidase that produce hydrogen peroxidation, then analyzed with biosensor refractophotometry. Measurement of malondialdehyde used thiobarbituric acid (TBA) test. Histological observation of fatty liver was assessed using a NAS (Non-alcoholic fatty liver disease score). The results showed that 1.656 g (2 mL) of olive oil extract per day decreased total cholesterol level up to 44.41 %, malondialdehyde level up to 61.75%, and NAS score up to 50%, compared with positive control. It was concluded that olive oil extract was decreasing total cholesterol level, as an anti-oxidant and prevent fatty liver development.Keywords: fatty liver, hyperlipidemia, malondialdehyde, Olea europaea.
Hubungan Usia, Massa Lemak, dan Indeks Massa Tubuh dengan Nyeri Punggung Bawah pada Karyawan Rumah Sakit Umum Universitas Muhammadiyah Malang Illahika, Anung Putri; Hanifwati, Annisa; Prabawati, Risma Karlina; Hidayat, Muh. Rizal; Aqiilah, Amatullah Rusydah; Julianti, Deny Dwi; Rosyanti, Nielanawalul Putri
Qanun Medika - Jurnal Kedokteran FK UMSurabaya Vol 10 No 01 (2026): Qanun Medika Vol 10 No 01 January 2026
Publisher : Universitas Muhammadiyah Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/jqm.v10i01.26159

Abstract

Low back pain (LBP) is a leading cause of global disability, significantly impacting work productivity. Known risk factors include age and obesity. However, while Body Mass Index (BMI) is a common indicator of obesity, BMI provides limited insight into true body composition. This study used Bioelectrical Impedance Analysis (BIA) to provide a more precise measurement of fat mass and to analyze its correlation with LBP, along with age and BMI, among employees at the University of Muhammadiyah Malang (UMM) General Hospital. The study used a cross-sectional design involving 112 hospital employees. Age was collected through a questionnaire. Fat mass was measured using the Tanita BC-418, and LBP was assessed using the Nordic Body Map (NBM) questionnaire, which distinguishes between complaints and disabilities. Statistical analysis used the Kruskal-Wallis test for correlations involving LBP complaints (age and fat mass) and the Spearman correlation test for correlations involving LBP disabilities (age and BMI). This study found no statistically significant correlations between the analyzed variables and LBP complaints or disabilities. Spearman's correlation test showed a weak, insignificant relationship between age and LBP disability (r=0.141; p=0.130) and between BMI and LBP disability (r=0.148; p=0.116). Similarly, the Kruskal-Wallis test did not show a significant correlation between age and LBP complaints (p=0.299) or between fat mass and LBP complaints (p=0.564). Conclusion: Age, fat mass, and BMI were not found to be significant predictors of LBP complaints or disability in this specific hospital employee population. These findings suggest that occupational or ergonomic factors may play a more dominant role in the etiology of LBP in hospital staff than anthropometric parameters alone.