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Showing 2 results for Demography
Khadijeh Sarayloo , Zahra Vafaeenezhad , Mohammad Ali Hadadi , Mahin Tatari ,
Volume 25, Issue 1 (3-2023)
Abstract
Background and Objective: COVID-19 is a rapidly spreading acute respiratory syndrome worldwide. COVID-19 vaccination has been widely used as a means to control the disease. This study aimed to investigate the relationship between demographic characteristics and COVID-19 vaccination in patients with COVID-19.
Methods: This descriptive-analytical study was conducted on 1124 patients with a definitive diagnosis of COVID-19 in Minoodasht, Iran, in August 2021. The instruments used in this study included a demographic data questionnaire and a checklist assessing patient characteristics.
Results: The majority of COVID-19 patients were men (51.8%), aged between 35 to 45 years (26%), and married (76.5%). COVID-19 vaccination was administered to 26.6% of the patients. Patients who received vaccination (27.1%) used masks less than unvaccinated patients (72.9%) (P<0.05). Of the patients with COVID-19, 8.2% were hospitalized. The mean duration of hospitalization for vaccinated patients (7.8±6.4 days) was lower than that for unvaccinated patients (8.3±5.9 days); however, this difference was not significant. Age, education, underlying disease, and mask usage were associated with COVID-19 vaccination (P<0.05). With an increase in underlying disease and age, vaccination rates increased, while vaccination rates decreased with the use of masks and lower education.
Conclusion: Attention to demographic factors and certain characteristics of individuals is necessary to improve COVID-19 vaccination rates. Previous COVID-19 vaccination does not decrease the number of hospitalization days in patients with COVID-19.
Maryam Alimoradian , Hajiieh Bibi Razeghi Nasrabad , Maliheh Alimondegari , Abbas Askari-Nodoushan ,
Volume 25, Issue 3 (10-2023)
Abstract
Background and Objective: A basic factor in the reduction of fertility levels is delayed fertility. This research was carried out in Khorramabad, Lorestan Province, Iran.
Methods: This descriptive-analytical study was conducted on 535 married women aged 15-49 years in Khorramabad. The data were collected face-to-face through a cross-sectional survey in 2020 using a researcher-made questionnaire between September and December 2019. This study used the Kaplan-Meier test to determine the childlessness survival time. A logistic parametric model with the gamma shared frailty distributions was employed to analyze its determinants.
Results: The mean of childlessness survival time was 31.76 months, with a median of 24 months. Women in the age group of 15 to 30 years, women with university education, women who married at the age of less than 25 years, and women with a higher sense of socioeconomic insecurity had a longer childlessness survival time (P<0.05).
Conclusion: Childlessness was evaluated as low in Khorramabad. Only 2% of the women remained childless after 10 years of marriage.
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