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All Journal Universa Medicina
Lie T Merijanti, Lie T
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Health Professions Immunology & microbiology Medicine & Pharmacology Public Health

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The association between shift work and body mass index among female nurses Samara, Diana; Merijanti, Lie T; Tandean, Reza; Harrianto, Ridwan
Universa Medicina Vol 27, No 2 (2008)
Publisher : Faculty of Medicine, Trisakti University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18051/UnivMed.2008.v27.72-77

Abstract

Possibly due to a disturbance of biological rhythms, shift work is associated with several health problems, particularly an increased risk of coronary heart disease (CHD). Obesity is a well known independent cardiovascular risk factor and has been shown to be more prevalent among shift workers. The objective of this study was to examine the association between shift work and body mass index in nurses working in one hospital in Central Jakarta. A cross-sectional study was conducted among 152 female nurses, ranging from 22 to 55 years of age, with determination of body mass index (BMI), and systolic and diastolic blood pressure (SBP and DBP). The results show a mean age of 30.9 ± 7.2 years and mean job experience of 8.9 ± 7.6 years. There was no significant difference in the prevalence of gastrointestinal disorders between shift and day workers. Mean BMI (23.1 ± 3.6) and mean job experience (6.9 ± 5.9 years) in shift nurses were significantly different from those in day workers (BMI = 24.8 ± 3.8; job experience 15.4 ± 8.4 years). In shift working nurses the BMI increased significantly in proportion to job experience (p=0.014). In conclusion, the present study has proven that job experience significantly increased BMI in shift working nurses.
Heavy mental workload increase poor sleep quality in informal garment workers Merijanti, Lie T; Pusparini, Pusparini; Meiyanti, Meiyanti; Alvina, Alvina; Sudharma, Novia I; Tjahjadi, Muljadi
Universa Medicina Vol 38, No 3 (2019)
Publisher : Faculty of Medicine, Trisakti University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (687.632 KB) | DOI: 10.18051/UnivMed.2019.v38.202-208

Abstract

Background Sleep is needed by the human body so that the performance of body remains optimal when the body is awake, especially during work. Informal workers often work without clear regulations, with inadequate equipment and poor work environment, and pay little attention to occupational health and safety factors. The existence of large work demands with unclear work system arrangements will certainly result in a mental workload in these workers. The objective of this study was to determine the relationship between mental workload and sleep patterns of workers in the informal garment sector. MethodsA cross-sectional study involving 225 informal garment workers was conducted between December 2018 and May 2019. Data collection included respondents’ demographics, job characteristics, measurement of mental burden and disturbances in sleep patterns. The sleep pattern used the PSQI (Pittsburgh Sleep Quality Index) instrument and the mental burden used the Rating Scale Mental Effort (RSME). A multiple linear regression analysis was used to analyze the data. ResultsThe mean sleep quality was 5.40 ± 2.54. Multiple linear regression test found that mental workload correlated significantly with sleep quality of workers (β=0.016, p=0.012).ConclusionThis study demonstrated that heavy mental workload decreases the quality of sleep in informal garment workers. A good work system management is required so that workers are assigned that portion of the task that is commensurate with their capacity.
Glycated albumin is a better indicator for glucose levels than glycated hemoglobin in patients with diabetes mellitus on insulin therapy Lesmana, Alvina; Pusparini, Pusparini; Meiyanti, Meiyanti; Merijanti, Lie T
Universa Medicina Vol 39, No 1 (2020)
Publisher : Faculty of Medicine, Trisakti University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (482.547 KB) | DOI: 10.18051/UnivMed.2020.v39.27-33

Abstract

BackgroundDiabetes mellitus (DM) is a metabolic disease with a large incidence in the world and constitutes a global health problem. By 2030 it is estimated that there will be around 439 million people suffering from DM. Diabetes mellitus is a metabolic disease caused by a lack or absence of the hormone insulin. In type 2 DM pharmacotherapy can be given one of which is insulin. To monitor therapy, random blood glucose, glycated hemoglobin (HbA1c) and glycated albumin (GA) levels can be examined. The objective of this study was to determine the relationship of glycated albumin and glycated hemoglobin (HbA1c) with random blood glucose in insulin-treated diabetics.MethodsA cross-sectional study was conducted involving 92 type 2 diabetic patients treated with insulin. The study used a questionnaire and blood samples. We measured the GA , HbA1C and random blood glucose levels. A multiple linear regression was used to analyze the data. ResultsMean HbA1c was 9.21 ± 2.15%, mean glycated albumin was 24.4 ± 8.65%, and mean blood glucose was 229.47 ± 98.7 mg/dL. Multiple linear regression tests showed that HbA1c (B= 5,544; â=0.121; p=0.420) and GA (B=5.899; â=0.517; p=0.001) was signigicantly corelated with random blood gucose, respectively, indicating that glycated albumin is significantly related to and has the greatest influence on glucose level.ConclusionGlycated albumin is correlated with and has greater influence on glucose level than does HbA1c. Glycated albumin could be a better marker for glycemic control than glycated hemoglobin in diabetic patients treated with insulin.
Co-Authors Alvina Alvina Alvina Lesmana, Alvina Diana Samara, Diana Meiyanti Meiyanti, Meiyanti Novia I. Sudharma, Novia I. Pusparini Pusparini Reza Tandean Ridwan Harrianto, Ridwan Tjahjadi, Muljadi