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Showing 2 results for Keikha
Is women’s Employment in Health Centers Associated With their Quality of life? A Case Study of Employed Women in Zabol, Iran in 2010
Z Hashemi , M Keikha, R Keikhaee, A Ansari Moghadam , M Salehi Marzijarani , A Nasiri,
Volume 9, Issue 2 (Vol 9, No 2, Summer 2013 2013)
Abstract
Background & Objectives: Relationship between jobs and different aspects of health, including quality of life has been considered by researchers however the employment aim has risen in Iranian women in Iran but there is little known about the quality of life in this group, therefore the aim of this study was to investigate the relationship between employment and quality of life of women in the city of Zabol. Methods: This cross-sectional study was carried out during 2009-2010 in Zabol, Iran. The sample consisted of 420 women selected randomly from health care centers. Health-related quality of life was assessed using the SF-36 and classified using k-means clustering method. The relationship between the independent variables with the quality of life was assessed by multinomial logistic regression. Results: The mean age of participants was 30.46 ± 8.75 years. Quality of life indicated as low (35.4%), medium (33.7%) and high classes (30.9%), respectively. The results indicated that employed women were more likely than housewives to hadhigher quality of life. An increase age, significantly reduced respectively five and four percent of chance to had moderate and high level of quality of life. Conclusion: More than half of women had medium and low quality of life. Increasing age was associated with decreased quality of life, but employment was an independent predictor for higher quality of life.
The Top 100 Highly Cited Articles of Mucormycosis in Patients with COVID-19: a Scientometric Study
Abdolahad Nabiolahi, Najmeh Khammari, Nasser Keikha,
Volume 19, Issue 1 (Vol.19, No.1, Spring 2023)
Abstract
Background and Objectives: Mucormycosis is a severe fungal infection with high mortality, particularly affecting immunocompromised patients. COVID-19 patients, due to their compromised immunity, are also susceptible to mucormycosis. Given the rising prevalence of mucormycosis, this research aims to analyze highly cited articles focused on mucormycosis in COVID-19 patients.
Methods: This research employed a citation analysis approach using bibliometric analysis. The study's statistical population comprised articles related to mucormycosis and COVID-19 indexed in the Web of Science database between 1945 and 2023 that received a high number of citations. Histcite and VOS Viewer software were utilized to draw scientific and co-occurrence clusters of words.
Results: Analysis of highly cited articles revealed that among the 1,082 documents published, the top 100 works primarily focused on mucormycosis and COVID-19, histopathological findings, and fungal co-infections, garnering the highest citations. An article by Singh received the highest number of citations. The journal "Mycoses" was identified as an influential journal in the COVID-19 and mucormycosis domain, publishing 10 highly cited articles. Co-occurrence analysis of words highlighted four key thematic clusters related to COVID-19 and mucormycosis, as well as other types of fungal infections. Analysis of the top 100 articles indicated that mucormycosis and COVID-19 clusters had the highest frequency, focusing on histopathological areas and fungal coinfections.
Conclusion: The co-occurrence map of words and emerging topics in mucormycosis, COVID-19, and fungal infections can guide researchers in laboratory research, enhancing their understanding of the disease, related current issues and potential treatment methods. Moreover, it offers valuable insights for authors, journals, and researchers in selecting future research priorities.

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