METHODS: In this double-blind randomized clinical trial study, 50 NAFLD patients were divided into two groups of 25 participants who were treated with 520 mg/day of GSE or the placebo group for 2 months. The parameters of glycemic, lipid profile, blood pressure and steatohepatitis were measured before and after the intervention.
RESULTS: The GSE group had an average age of 43.52 ± 8.12 years with 15 women and 10 men, while the placebo group had an average age of 44.88 ± 10.14 years with 11 women and 14 men. After 2 months of intervention with GSE, it was observed that insulin, HOMA-IR, TC, TG, LDL-c, ALT, AST, AST/ALT, SBP, DBP and MAP decreased and QUICKi and HDL-c increased significantly (p-value for all
METHODS: This study was a two-group randomized clinical trial on 69 cancer patients undergoing chemotherapy at Reza Radiotherapy and Oncology Center, Iran in 2018. Patients were randomly divided into intervention and control groups. The intervention group received laughter yoga for four sessions at one-week intervals. Each session consists of one part and lasts for 20-30 min. Patients' health-related quality of life was assessed before and after the laughter yoga sessions using Quality of Life Questionnaire European Organization for Research and Treatment of Cancer (EORTC QLQ-C30) version 3.0. SPSS Statistics (v.20 software was used to conduct Chi-square, independent t-test, Mann-Whitney, Wilcoxon and paired t-tests analyses of the data.
RESULTS: The number of participants in intervention and control groups were 34 and 35, there was no significant difference of demographic and disease related characteristics and pre-intervention HRQOL between two groups. In the intervention group, there is significant difference between pre- and post-intervention scores (Mean ± Standard Deviation) of emotional functioning (12.99 ± 10.49), physical functioning (0.78 ± 6.08), role functioning (3.43 ± 7.97), fatigue (-8.82 ± 22.01), pain (-8.33 ± 11.78), sleep disturbance (-15.68 ± 18.77), and global health and quality of life (6.37 ± 5.04) (p
DESIGN: A cross sectional study.
METHOD: A self-administered online survey was used from August to October 2022, with a sample size of 417 nursing students selected through convenience sampling. Descriptive statistics, correlation analyses, and PROCESS macro v4.1 (Model 4) were used for data analysis.
RESULTS: The results revealed that virtual learning infrastructure, access to electronic facilities, and student collaboration, significantly predict student computer competency and e-learning outcomes. Virtual learning infrastructure and access to electronic facilities were found to be the strongest predictors of student computer competency, while student collaboration had a smaller but still significant effect. Student computer competency was found to mediate the relationship between virtual learning infrastructure, access to electronic facilities, student collaboration, and e-learning outcomes.
METHODS: Two-hundred unrelated Emirati parents of patients selected for bone marrow transplantation were genotyped for HLA class I (A, B, C) and class II (DRB1, DQB1) genes using reverse sequence specific oligonucleotide bead-based multiplexing. HLA haplotypes were assigned with certainty by segregation (pedigree) analysis, and haplotype frequencies were obtained by direct counting. HLA class I and class II frequencies in Emiratis were compared to data from other populations using standard genetic distances (SGD), Neighbor-Joining (NJ) phylogenetic dendrograms, and correspondence analysis.
RESULTS: The studied HLA loci were in Hardy-Weinberg Equilibrium. We identified 17 HLA-A, 28 HLA-B, 14 HLA-C, 13 HLA-DRB1, and 5 HLA-DQB1 alleles, of which HLA-A*02 (22.2%), -B*51 (19.5%), -C*07 (20.0%), -DRB1*03 (22.2%), and -DQB1*02 (32.8%) were the most frequent allele lineages. DRB1*03~DQB1*02 (21.2%), DRB1*16~DQB1*05 (17.3%), B*35~C*04 (11.7%), B*08~DRB1*03 (9.7%), A*02~B*51 (7.5%), and A*26~C*07~B*08~DRB1*03~DQB1*02 (4.2%) were the most frequent two- and five-locus HLA haplotypes. Correspondence analysis and dendrograms showed that Emiratis were clustered with the Arabian Peninsula populations (Saudis, Omanis and Kuwaitis), West Mediterranean populations (North Africans, Iberians) and Pakistanis, but were distant from East Mediterranean (Turks, Albanians, Greek), Levantine (Syrians, Palestinians, Lebanese), Iranian, Iraqi Kurdish, and Sub-Saharan populations.
CONCLUSIONS: Emiratis were closely related to Arabian Peninsula populations, West Mediterranean populations and Pakistanis. However, the contribution of East Mediterranean, Levantine Arab, Iranian, and Sub-Saharan populations to the Emiratis' gene pool appears to be minor.
METHODS: This cross-sectional descriptive study was performed on all published articles in five Iranian environmental health journals and three international environmental health journals that are among the top 5% and 10% based on SNIP, emphasizing the issue of food. Our data were collected by searching relevant keywords in the articles published during the years (2008-2021), with emphasis on food hygiene. In the checklist, journal and articles information was collected by year of publication, a number of articles, information on authors' participation status in terms of number, gender, organizational affiliation, country and continents, and research centers according to authors' authorship. Statistical analysis of data was performed using descriptive and inferential statistical indices. VOSviewer software was also used to visualize the data.
RESULTS: In Iranian environmental health journals, out of 2305 articles (7.3%) and out of 6898 articles in international environmental health journals (2.4%) dealt with food hygiene. Food hygiene articles were divided into seven categories, with the largest number of articles on aquatic and agricultural products each with a frequency of 48 articles. Articles related to heavy metals in food were provided by 30.81%. In this study, out of 150 articles, 15 articles were written with the participation of 30 authors from seven continents (Asia, America, and Europe), most of which were from Asia and India. In international environmental health journals, among the main research topics in articles related to food hygiene, the highest number (52.5%) was related to a determination about pollution such as heavy metal concentrations in food.
CONCLUSIONS: Articles published in Iranian and international environmental health journals about food hygiene were limited. According to the increasing prevalence of foodborne illnesses, especially in recent decades, and the importance of paying attention to food hygiene, more targeted studies are needed.
OBJECTIVE: Our study objectives were (a) to investigate the heritability of age of menarche in twins, (b) to obtain the association between age of menarche and childhood factors, and reproductive events/behavior, (c) to examine whether or not having a male co-twin affects early/late menarche.
METHODOLOGY: A group of female-female identical (n = 108, 54 pairs), non-identical twins (n = 68, 34 pairs) and 17 females from opposite-sex twin sets were identified from twin registries of Malaysia and Iran. Genetic analysis was performed via two methods of Falconers' formula and maximum likelihood.
RESULTS: Heritability was found to be 66% using Falconers' formula and 15% using univariate twin analysis. Model analysis revealed that shared environmental factors have a major contribution in determining the age of menarche (82%) followed by non-shared environment (18%).
DISCUSSION: Result of this study is consistent with that of the literature. Timing of menarche could be under the influence of shared and non-shared environmental effects. Hirsutism was found to have a higher frequency among subjects with late menarche. There was no significant difference in age of menarche between females of opposite-sex twins and females of same-sex twins.
CONCLUSION: It is concluded that twin models provide a powerful means of examining the total genetic contribution to age of menarche. Longitudinal studies of twins may clarify the type of environmental effects that determine the age of menarche.