Showing 2 results for Ranjkesh
F Ranjkesh, M Nasiri, Sh Sharif Nia , Ah Goudarzian, Sz Hosseinigolafshani ,
Volume 14, Issue 4 (Vol.14, No.4, 2019)
Abstract
Background and Objectives: One of the most common problems during pregnancy is sleep disorders, which is the result of physiological, hormonal and physical changes in pregnancy and can be the basis for many disorders before, during, and after delivery. The aim of this study was to determine the psychometric properties of the persion version of Sleep Condition Indicator in a sample of Iranian pregnant women.
Methods: In present study, 300 pregnant women reffered to health center of Kowsar (affiliated to Qazvin University of Medical Sciences) that were gathered via accesible sampling method, completed the Sleep Condition Indicator in 2017. Face, content, and construct validity (convergent and divergent validity) and reliability of selected questionnaire were calculated.
Results: The results of exploratory and confirmatory factor analysis showed two sustained and distinct factors, including quantity in sleep quality and the consequences of low sleep quality. The two-factor fit of Sleep Condition Indicator was approved based on standard indicators. Convergent and divergent validity were acceptable for all factors. Moreover, the internal consistency and reliability of the construct were also acceptable.
Conclusion: The results of this study showed that the Sleep Condition Indicator is valid and reliable among pregnant women, so it seems that this tool can be used to screen sleep disorders in women during pregnancy.
N Azh, H Pakniat, M Rajabi, F Ranjkesh,
Volume 16, Issue 5 (Vol 16, Special Issue 2021)
Abstract
Background and Objectives: The coronavirus disease 2019 (COVID-19) pandemic has raised concerns about high-risk groups in community. Due to physiologic changes in pregnancy, these women are prone to this infection; therefore, this study was conducted to evaluate Covid-19 infection and pregnancy outcomes in Qazvin Province.
Methods: This longitudinal study was done in Qazvin Province from March to October 2020. The participants included 133 pregnant women who with a definitive diagnosis of COVID-19 using CT scan and PCR test. A four-section questionnaire was used to collect demographic data, COVID-19 symptoms, and pregnancy outcomes. The mothers were followed up until six months after delivery. Data were analyzed using the SPSS software version 24 and descriptive statistics.
Results: The mean age of the mothers was 27.09 ± 5.67 years. Fever, cough, and body pain were the most common symptoms of Covid-19 in the mothers. The majority (87.96%) of the mothers were in second and third trimester of pregnancy. Maternal outcomes included preterm labor (9%), Cesarean section (51.1%) and maternal death (11.28% or 5 cases). Perinatal outcomes were abortion (6%) and fetal death (3%).
Conclusion: Based on the results of the present study, Covid-19 increased the rate of maternal mortality and preterm delivery in pregnant women. Attention should be paid to support the expecting mothers, and more emphasis should be placed on health protocols in this group of patients.
