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  1. Article ; Online: Sleep Duration as the Main Indicator of Self-Rated Wellness and Health among Healthcare Workers Involved in the COVID-19 Pandemic

    Maryam Masoumi / Kamyar Shokraee / Somayeh Mohammadi / Soroush Moradi / Mohammad Bagherzade / Javad Balasi / Abbas Smiley

    International Journal of Environmental Research and Public Health, Vol 19, Iss 136, p

    2022  Volume 136

    Abstract: Objective: This study was performed during the COVID-19 pandemic to better understand the indicators of self-rated wellness and health among healthcare workers. Methods: Sleep pattern, mood status, nutritional condition, physical activity, habits and the ...

    Abstract Objective: This study was performed during the COVID-19 pandemic to better understand the indicators of self-rated wellness and health among healthcare workers. Methods: Sleep pattern, mood status, nutritional condition, physical activity, habits and the subjective wellness and health index of the healthcare workers of a university affiliated hospital were surveyed. Paired t -tests were performed to compare the participants’ quality of life before and after the outbreak of COVID-19. Multivariable linear regression models with a backward elimination stepwise process determined the parameters that significantly correlated with self-reported wellness and health. Results: Of the 200 healthcare workers who participated in this study, 119 (60%) were female and 81 (40%) were male, with a mean (SD) age of 28.8 (5.9) years. We found that the COVID-19 pandemic significantly changed many lifestyle factors compared to the pre-pandemic states. The scores of sleep quality, mood status, pre-planned physical activity and social activity were reduced by 30%, 40%, 50% and 70%, respectively. The average night sleep duration before the pandemic was 7 h and 22 min, whereas during the pandemic it decreased to 6 h and 44 min, a debt of 38 min in sleep duration every night. As found by multivariable regression modelling, self-reported wellness and health before the pandemic period was associated with wake-up time, mood status, physical activity and diet. During the pandemic period, in addition to these variables, night sleep duration (β = 0.049, p = 0.049) and nap duration (β = 0.009, p = 0.01) were left in the final multivariable model and correlated significantly with the wellness and health index. Conclusion: COVID-19 has detrimentally affected healthcare workers’ well-being and quality of life. Sleep duration was the main factor correlated with subjective wellness and health index during the current COVID-19 pandemic.
    Keywords COVID-19 ; pandemic ; healthcare workers ; lifestyle ; sleep ; Medicine ; R
    Subject code 796 ; 360
    Language English
    Publishing date 2022-12-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Side effects of methotrexate therapy in patients with rheumatoid arthritis

    Maryam Masoumi / Javad Balasi / Seyed Mahdi Aghamiri / Soroush Moradi / Mahbube Baghban / Mostafa Vahedian / Alireza Gandomi-Mohammadabadi

    Immunopathologia Persa, Vol 7, Iss 2, Pp e38-e

    2021  Volume 38

    Abstract: Introduction: Methotrexate is widely used as the most common disease-modifying anti-rheumatoid drug (DMARD) and is known as the first line treatment for rheumatoid arthritis (RA). Objectives: To assess the side effects of methotrexate in Iranian patients ...

    Abstract Introduction: Methotrexate is widely used as the most common disease-modifying anti-rheumatoid drug (DMARD) and is known as the first line treatment for rheumatoid arthritis (RA). Objectives: To assess the side effects of methotrexate in Iranian patients with RA and to compare them with the known side effects from previous studies. Patients and Methods: We conducted a cross-sectional study of 300 patients who fulfilled the EULAR 2010 criteria of RA. The following data were recruited from patients’ profiles; age, body mass index (BMI), duration of treatment with methotrexate, initiating dose, maximum dose and current dose of methotrexate, history of fatty liver disease or hepatitis B and concomitant use of sulfasalazine, leflunomide or hydroxychloroquine. Results: In 149 out of 300 patients (49.66%), Methotrexate therapy was stopped or tapered due to side effects including nausea (23%), flu-like symptoms (8%), hepatotoxicity (12%) and hair loss (6%). The patients with hepatotoxicity had a higher duration of treatment with methotrexate (10.35 compared with 5.83; P<0.001) and also the higher initiating dose of methotrexate (12.91 compared with 12.17; P=0.010). All of the RASS (rheumatoid arthritis severity scale) indexes including disease activity, functional impairment, and physical damage are related to the presence of hepatotoxicity (P<0.001). Conclusion: Methotrexate is an excellent and effective agent for the treatment of RA and its potential side effects during the treatment are dependent on the methotrexate dosage, the level of anti-citrullinated protein antibody (ACPA) and anti-MCV antibodies and concomitant use of other drugs such as leflunomide.
    Keywords methotrexate ; rheumatoid arthritis ; side effects ; hepatotoxicity ; Medicine ; R
    Subject code 610 ; 616
    Language English
    Publishing date 2021-07-01T00:00:00Z
    Publisher Nickan Research Institute
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: Correlation of clinical signs and symptoms of Behçet’s disease with mean platelet volume (MPV) and red cell distribution width (RDW)

    Maryam Masoumi / Soraya Shadmanfar / Fereydoun Davatchi / Farhad Shahram / Massoomeh Akhlagi / Tahereh Faezi / Hoda Kavosi / Soroush Moradi / Javad Balasi

    Orphanet Journal of Rare Diseases, Vol 15, Iss 1, Pp 1-

    2020  Volume 8

    Abstract: Abstract Background A strong correlation was previously found between mean platelet volume (MPV), red blood cell distribution width (RDW), and the severity of signs and symptoms in patients suffering from inflammatory and autoimmune diseases. The current ...

    Abstract Abstract Background A strong correlation was previously found between mean platelet volume (MPV), red blood cell distribution width (RDW), and the severity of signs and symptoms in patients suffering from inflammatory and autoimmune diseases. The current study evaluated these correlations in patients with Behçet’s disease (BD) as well the relationship between MPV and RDW and disease activity score on the Iranian Behçet’s Disease Dynamic Activity Measurement (IBDDAM). Methods This cross-sectional study included 319 patients with BD for whom demographic and epidemiological data, IBDDAM scores, and duration of illness was recorded. Blood samples were then obtained and the relationships between their disease status and manifestations and their laboratory parameters were evaluated with statistical models to find possible correlations. Results Our analysis showed a significantly higher RDW in patients with BD who had ocular manifestations (p < 0.001) and oral aphthae (p = 0.004). Patients with active BD had higher RDW (p < 0.001) and MPV (p < 0.001) in comparison to those with currently inactive BD. Similarly, patients who had any type of ocular manifestation had higher RDW (p < 0.001) and MPV (p < 0.001). Regression analyses identified a statistically significant model for the effect of RDW and MPV in predicting active BD status (p < 0.001), as well as its significant relationship with active ocular manifestations (p < 0.001). Conclusion BD was found to be associated with an increase in MPV and RDW, particularly during active phases. RDW and MPV were also found to have predictive value for screening to detect BD activity and its ocular complications.
    Keywords Behçet’s disease ; Mean platelet volume ; Red blood cell distribution width ; Uveitis ; Ocular involvement ; Medicine ; R
    Subject code 610
    Language English
    Publishing date 2020-10-01T00:00:00Z
    Publisher BMC
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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