Detail Hubungan IMT dengan Prediabetes pada Staf Rumah Sakit Atma Jaya dan Staf Universitas Katolik Indonesia Atma Jaya pada Tahun 2016 Bibliografi Author: LAYADI, EKA BENHARDI ; Djaya, Prissilia Nanny (Advisor); Vetinly (Advisor); Sianipar, Erlia Anggrainy (Examiner) Topik: body mass index; PRE-DIABETES; Prediabetes; BMI; Nutritional Status; Obesity; Prediabetes; IMT; Status Gizi; Obesitas Bahasa: (ID )     Penerbit: Fakultas Kedokteran Unika Atma Jaya     Tempat Terbit: Jakarta Utara    Tahun Terbit: 2016     Jenis: Theses - Karya Tulis Ilmiah Kedokteran (KTI-FK) Fulltext: KTI Eka Benhardi (2013060057).pdf (3.13MB; 58 download) Ketersediaan Perpustakaan FK Nomor Panggil: KTI-FK-1097 Non-tandon: tidak ada Tandon: 1  Lihat Detail Induk Abstract Background: Prediabetes is a condition where the metabolism and utilization of glucose in the body are impaired, but the condition hasn't met the diagnostic criteria of diabetes mellitus. Prediabetes has been consistently linked to insulin resistance, which is the cornerstone of the pathogenesis of prediabetes and other metabolic diseases. Methods: This cross sectional study was conducted in Atma Jaya Hospital, Pluit, North Jakarta, and two campuses of Atma Jaya University which are located in Pluit, North Jakarta and Semanggi, South Jakarta. Screening of random capillary blood glucose (RCBG) was carried out and data from 259 subjects were collected. The subjects' glucometabolic status were categorized into normal (<118 mg/dl), prediabetes (118-199 mg/dl) and diabetes (>200 mg/dl). The criterion of prediabetes through RCBG was based on the study that was conducted by Somannavar et al. After the exclusion of diabetic patients through screening, data from 241 subjects were collected for further analysis. Descriptive and statistical analysis was done on independent variables (sex, age, DM history in the family, BMI, and blood pressure) to prediabetes as the dependent variable. Chi-square analysis was done to determine whether these independent variables were statistically significant to prediabetes or not. Odds ratio analysis was also conducted to quantify the risks of these variables to prediabetes in numbers. Results: Age, history of DM in family, and BMI are significant independent variables to prediabetes. From the BMI stand of view, the majority of prediabetic subjects were categorized as obese (53,73%). Subjects with obesity are 2 times more likely to get prediabetes compared to subjects with low and normal BMI. Conclusion: The prevalence of prediabetes among the staff of Atma Jaya University and Atma Jaya hospital was rather high (25%). As one of the significant variables related to prediabetes, BMI is also one of the variables that is able to be intervened upon compared to age and DM history in the family. Promotive measures that encourage healthy lifestyles such as healthy diet and regular exercise are needed more than ever to reduce the incidence of type 2 DM in the future for this debilitating disease may affect the work performance of the staffs. Opini Anda Klik untuk menuliskan opini Anda tentang koleksi ini! Lihat Sejarah Pengadaan  Konversi Metadata   Kembali

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