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Showing 2 results for Rezaei Hachesu

Meghdad Kazemi, Vida Rezaei Hachesu, Rajabali Hokmabadi, Seyed Jamaleddin Shahtaheri,
Volume 11, Issue 1 (3-2021)
Abstract

Introduction: Perpetration of samples is one of the most important stages needed for trace residue analysis of biological specimens when human exposure assessment is required. The samples preparation process makes the analyte get more purified and enriched as well as more compatible to the analysis instrument systems. The present study has concentrated on a systematic review of different articles published regarding the sample preparation methodologies of human biological samples.
Material and Methods: In this systematic review, all articles related to the development of sample preparation for trace residue analysis of heavy metals in occupational biological samples published in English during 2009-2019, were considered. To meet the desired objective of the current study and facilitate the  related articles on physiochemical sample preparation methods accessibility combined keywords of Mesh and non-Mesh, without any limitation in the type of studies, the Pubmed, Web of Science, and Scopus were considered to be searched. Noteworthy, in this study, only the articles related to the workers’ biological samples were reviewed.
Results: Based on the obtained results, after reviewing of the keywords trough websites, 2964 articles were identified. Then, the redundant papers were removed and59 articles were remained, based on their titles and abstracts,. After detailed review of selected articles, regarding the study criteria, 8 articles were selected for the final systematic review.  Five articles out of 8, (62.5%) were allocated to the development of sample preparation for mercury in biological samples. It is worth mentioning that the majority of biological samples were regarded to the urine samples (75%) in the current study. Based on the obtained results, Solid Phase Extraction (SPE), applied in 37.5% of studies, was a popular method used in sample preparation.
Conclusion: The development of sample preparation approaches indicates a great promise for specified methods with low costs and less extraction time when separating different heavy metals from complex matrices. These sample preparation and preconcentration techniques ease the analyses processes and provide the quantitative recoveries, higher sensitivity, and lower detection limits.
Rajabali Hokmabadi, Mohsen Mahdinia, Vida Rezaei Hachesu, Ali Karimi,
Volume 12, Issue 2 (6-2022)
Abstract

Introduction: Sleep is one of the important physiologic needs in daily life cycle, and a part of quality of life. Sleep disorders are considered as one of the most common health problems in work communities that can affect physical, mental performance and ability to work. Therefore, this study aimed at investigating the relationship between sleep disorders and work ability in construction workers.
Material and Methods: This study is descriptive-analytical and cross-sectional. Samples of 220 people were selected by random sampling method from construction workers and personnel. Data collection tools in this study included sleep quality questionnaire, insomnia severity questionnaire and work ability questionnaire. Data were analyzed using SPSS software (version 19) and, considering the objectives, descriptive statistics and analytical tests including paired t-test, Pearson’s correlation, Kruskal-Wallis, multiple linear regression and logistic regression were used.
Results: Average age, body mass index, working hours and work experience were calculated as 34.2 ± 8.5 years old, 55.58 ± 2.78, 10.5 ± 1.25 hours and 12.7 ± 6.5 years, respectively. The mean indices of insomnia severity, Petersburg quality of sleep index and work ability were 6.6 ± 5.35, 4.95 ± 2.43 and 42.5 ± 5.13, respectively. The relationship between the work ability with sleep disorders was statistically significant. Variables of marital status, types of employment and smoking, independent of the variables of insomnia severity and sleep quality, significantly affected the work ability index, so that the R2 of these variables were 0.246 and 0.242 of the changes in work ability index, respectively.
Conclusion: Any disturbance in sleep and resting can cause poor sleep quality. As a result, it severely reduces the ability of employees to work. Therefore, it is suggested that, in order to increase the index of work ability and, thus, the efficiency of an organization, special attention be paid to sleep-resting programs of employees.


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