10 research outputs found

    HUBUNGAN ANTARA BEBAN KERJA FISIK DENGAN KELELAHAN KERJA PADA PEKERJA BAGIAN OPERATOR BOILER DAN TURBIN DI PJBS PEMBANGKIT LISTRIK TENAGA UAP AMURANG

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    Kelelahan kerja sering dikeluhkan sebagai salah satu permasalahan ditempat kerja, kelelahan sering atau dapat dirasakan oleh setiap manusia pada saat melakukan aktivitas, baik aktivitas ringan maupun aktivitas berat. Kelelahan kerja disebabkan oleh beberapa faktor yaitu faktor usia, jenis kelamin, penyakit dan beban kerja. Tujuan Penelitian ini adalah untuk mengetahui hubungan beban kerja fisik dengan kelelahan kerja pada pekerja bagian operator boiler dan turbin di PJBS Pembangkit Listrik Tenaga Uap Amurang.Metode penelitian menggunakan survei analitik dengan pendekatan cross sectional (potong lintang). Populasi dalam penelitian adalah semua pekerja operator boiler dan turbin yang berjumlah 41 responden dan seluruh populasi dijadikan subjek dalam penelitian ini. Instrumen yang digunakan dalam penelitian ini yaitu reaction timer dan Penilaian beban kerja berdasarkan, SNI 7269:200S. Analisis data menggunakan uji korelasi pearson. Penelitian ini menunjukkan terdapat hubungan antara beban kerja fisik dengan kelelahan kerja mendapatakan hasil p-value=0,000 (<0,05) dan nilai r= 0,578 atau korelasi sedang dengan arah hubungan yang positif. Kesimpulan dalam penelitian ini terdapat hubungan antara beban kerja fisik dengan kelelahan kerja pada pekerja Operator Boiler dan Turbin di PJBS Pembangkit Listrik Tenaga Uap Amurang. Kata Kunci: Beban Kerja, Kelelahan Kerja ABSTRACKWorking fatigue is often complained of as one of the problems in the workplace, frequent fatigue or can be felt by every human being during activity, both light activity and heavy activity. Working fatigue is caused by factors such as age, gender, illness and workload. The purpose of this research is to know the relationship of physical workload with working fatigue in the workers part of the boiler and turbine operators in PJBS Steam Power Plant Amurang. The research method uses an analytical survey with a cross sectional approach (cut latitude). The population in the study was all the workers of the boiler and turbine operators amounting to 41 respondents and the entire population was made a subject in this study. The instrument used in this research is the reaction timer and assessment of workload based, SNI 7269:200S. Data analysis using Pearson correlation test. This research shows that there is a relationship between physical workloads and work fatigue to be the result of P-value = 0,000 (< 0.05) and the value of R = 0.578 or medium correlation with the direction of a positive relationship. Conclusion in this study there is a link between physical workload with working fatigue in the workers of Boiler and turbine operators in PJBS Amurang Steam Power Plant. Keywoards : Workload, Working Fatigu

    Effects of pregnancy on the pharmacokinetics of metformin

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    This study's primary objective was to fully characterize the pharmacokinetics of metformin in pregnant women with gestational diabetes mellitus (GDM) versus nonpregnant controls. Steady-state oral metformin pharmacokinetics in pregnant women with GDM receiving either metformin monotherapy (n 5 24) or a combination with glyburide (n 5 30) as well as in nonpregnant women with type 2 diabetes mellitus (T2DM) (n 5 24) were determined utilizing non-compartmental techniques. Maternal and umbilical cord blood samples were collected at delivery from 38 women. With both 500- and 1000-mg doses, metformin bioavailability, volume of distribution beta (Vb), clearance, and renal clearance were significantly increased during pregnancy. In addition, in the women receiving metformin 500 mg, significantly higher metformin apparent oral clearance (CL/F) (27%), weight-adjusted renal secretion clearance (64%), and apparent oral volume of distribution beta (Vb/F) (33%) were seen during pregnancy. Creatinine clearance was significantly higher during pregnancy. Increasing metformin dose from 500 to 1000 mg orally twice daily significantly increased Vb/F by 28%, weight-adjusted Vb/F by 32% and CL/F by 25%, and weight-adjusted CL/F by 28% during pregnancy. Mean metformin umbilical cord arterial-to-venous plasma concentration ratio was 1.0 6 0.1, venous umbilical cord-to-maternal concentration ratio was 1.4 6 0.5, and arterial umbilical cord-to-maternal concentration ratio was 1.5 6 0.5. Systemic exposure after a 500-mg dose of metformin was lower during pregnancy compared with the nonpregnant women with T2DM. However, in patients receiving metformin 1000 mg, changes in estimated bioavailability during pregnancy offset the changes in clearance leading to no significant change in CL/F with the higher dose. SIGNIFICANCE STATEMENT Gestational diabetes mellitus complicates 5%-13% of pregnancies and is often treated with metformin. Pregnant women undergo physiological changes that alter drug disposition. Preliminary data suggest that pregnancy lowers metformin concentrations, potentially affecting efficacy and safety. This study definitively describes pregnancy's effects on metformin pharmacokinetics and expands the mechanistic understanding of pharmacokinetic changes across the dosage range. Here we report the nonlinearity of metformin pharmacokinetics and the increase in bioavailability, clearance, renal clearance, and volume of distribution during pregnancy

    Pharmacodynamics of Glyburide, Metformin, and Glyburide/Metformin Combination Therapy in the Treatment of Gestational Diabetes Mellitus

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    In gestational diabetes mellitus (GDM), women are unable to compensate for the increased insulin resistance during pregnancy. Data are limited regarding the pharmacodynamic effects of metformin and glyburide during pregnancy. This study characterized insulin sensitivity (SI), β-cell responsivity, and disposition index (DI) in women with GDM utilizing a mixed-meal tolerance test (MMTT) before and during treatment with glyburide monotherapy (GLY, n = 38), metformin monotherapy (MET, n = 34), or GLY and MET combination therapy (COMBO; n = 36). GLY significantly decreased dynamic β-cell responsivity (31%). MET and COMBO significantly increased SI (121% and 83%, respectively). Whereas GLY, MET, and COMBO improved DI, metformin (MET and COMBO) demonstrated a larger increase in DI (P = 0.05) and a larger decrease in MMTT peak glucose concentrations (P = 0.03) than subjects taking only GLY. Maximizing SI with MET followed by increasing β-cell responsivity with GLY or supplementing with insulin might be a more optimal strategy for GDM management than monotherapy

    Pharmacodynamics of Metformin in Pregnant Women With Gestational Diabetes Mellitus and Nonpregnant Women With Type 2 Diabetes Mellitus

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    Gestational diabetes mellitus is a condition similar to type 2 diabetes mellitus (T2DM) in that patients are unable to compensate for the degree of insulin resistance, and both conditions are often treated with metformin. The comparative pharmacodynamic response to metformin in these 2 populations has not been studied. This study characterized insulin sensitivity, β-cell responsivity, and disposition index following a mixed-meal tolerance test utilizing a minimal model of glucose, insulin, and C-peptide kinetics before and during treatment with metformin. The study included women with gestational diabetes mellitus (n = 34), T2DM (n = 14), and healthy pregnant women (n = 30). Before treatment, the gestational diabetes mellitus group had significantly higher baseline (45%), dynamic (68%), static (71%), and total β-cell responsivity (71%) than the T2DM group. Metformin significantly increased insulin sensitivity (51%) as well as disposition index (97%) and decreased mixed-meal tolerance test peak glucose concentrations (8%) in women with gestational diabetes mellitus after adjustment for gestational age–dependent effects; however, in women with T2DM metformin only significantly affected peak glucose concentrations (22%) and had no significant effect on any other parameters. Metformin had a greater effect on the change in disposition index (Δ disposition index) in women with gestational diabetes mellitus than in those with T2DM (P =.01). In conclusion, response to metformin in women with gestational diabetes mellitus is significantly different from that in women with T2DM, which is likely related to the differences in disease severity

    Researching COVID to enhance recovery (RECOVER) pregnancy study: Rationale, objectives and design

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    Importance Pregnancy induces unique physiologic changes to the immune response and hormonal changes leading to plausible differences in the risk of developing post-acute sequelae of SARS-CoV-2 (PASC), or Long COVID. Exposure to SARS-CoV-2 during pregnancy may also have long-term ramifications for exposed offspring, and it is critical to evaluate the health outcomes of exposed children. The National Institutes of Health (NIH) Researching COVID to Enhance Recovery (RECOVER) Multi-site Observational Study of PASC aims to evaluate the long-term sequelae of SARS-CoV-2 infection in various populations. RECOVER-Pregnancy was designed specifically to address long-term outcomes in maternal-child dyads. Methods RECOVER-Pregnancy cohort is a combined prospective and retrospective cohort that proposes to enroll 2,300 individuals with a pregnancy during the COVID-19 pandemic and their offspring exposed and unexposed in utero, including single and multiple gestations. Enrollment will occur both in person at 27 sites through the Eunice Kennedy Shriver National Institutes of Health Maternal-Fetal Medicine Units Network and remotely through national recruitment by the study team at the University of California San Francisco (UCSF). Adults with and without SARS-CoV-2 infection during pregnancy are eligible for enrollment in the pregnancy cohort and will follow the protocol for RECOVER-Adult including validated screening tools, laboratory analyses and symptom questionnaires followed by more in-depth phenotyping of PASC on a subset of the overall cohort. Offspring exposed and unexposed in utero to SARS-CoV-2 maternal infection will undergo screening tests for neurodevelopment and other health outcomes at 12, 18, 24, 36 and 48 months of age. Blood specimens will be collected at 24 months of age for SARS-CoV-2 antibody testing, storage and anticipated later analyses proposed by RECOVER and other investigators. Discussion RECOVER-Pregnancy will address whether having SARS-CoV-2 during pregnancy modifies the risk factors, prevalence, and phenotype of PASC. The pregnancy cohort will also establish whether there are increased risks of adverse long-term outcomes among children exposed in utero

    Whole-genome sequencing reveals host factors underlying critical COVID-19

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    Critical COVID-19 is caused by immune-mediated inflammatory lung injury. Host genetic variation influences the development of illness requiring critical care1 or hospitalization2,3,4 after infection with SARS-CoV-2. The GenOMICC (Genetics of Mortality in Critical Care) study enables the comparison of genomes from individuals who are critically ill with those of population controls to find underlying disease mechanisms. Here we use whole-genome sequencing in 7,491 critically ill individuals compared with 48,400 controls to discover and replicate 23 independent variants that significantly predispose to critical COVID-19. We identify 16 new independent associations, including variants within genes that are involved in interferon signalling (IL10RB and PLSCR1), leucocyte differentiation (BCL11A) and blood-type antigen secretor status (FUT2). Using transcriptome-wide association and colocalization to infer the effect of gene expression on disease severity, we find evidence that implicates multiple genes—including reduced expression of a membrane flippase (ATP11A), and increased expression of a mucin (MUC1)—in critical disease. Mendelian randomization provides evidence in support of causal roles for myeloid cell adhesion molecules (SELE, ICAM5 and CD209) and the coagulation factor F8, all of which are potentially druggable targets. Our results are broadly consistent with a multi-component model of COVID-19 pathophysiology, in which at least two distinct mechanisms can predispose to life-threatening disease: failure to control viral replication; or an enhanced tendency towards pulmonary inflammation and intravascular coagulation. We show that comparison between cases of critical illness and population controls is highly efficient for the detection of therapeutically relevant mechanisms of disease
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