Objective: The aim of this study is to determine the factors affecting birth space interval in a sample of women.
Methodology: A cross-sectional study conducted in primary health centers in Al-Tahade and Al- Shak Omar in
Baghdad city. Data were collected by direct interview using questionnaire especially prepared for the study.
Sample size was (415) women in age group (20-40) years who were chosen randomly.
Results: Analysis of data shows highest rate of women (31.8%) had a birth space interval of (8-12) months
followed by (26.7%) had a birth space interval of (19-24) months, (20.2%) had a birth space interval of (>24)
months and (16.1%) had a birth space interval of (13-18) months respectively, while lower rate of women (5.1%)
had birth space interval of (7) months. The birth space interval was higher in age group (20) years. Also, this
interval was prolonged by the use of contraceptives, breast feeding and women who had a high level of
education.
Analysis of data shows that (age group, level of education, occupation, use of contraceptives, parity and number
of abortion) were significant factors associated with birth space interval by using P-value of less than 0.01 was
considered significant to test the result.
Recommendations: Concentrated effort should be made to emphasize the risk of close birth spacing for both of
the mother and infant, in all our primary health centers as well as the family planning centers should be included
in these efforts explaining the importance of breast feeding for adequate birth spacing.
Background: Coronavirus disease 2019 (COVID-19) is
one of the updated challenges facing the whole world.
Objective: To identify the characteristics risk factors that
present in humans to be more liable to get an infection
than others.
Methods: A cross-sectional study was conducted for
positively confirmed 35 patients with polymerase chain
reaction in Wasit province at AL-Zahraa Teaching
Hospital from the period of March 13th till April 20th. All
of them full a questionnaire regarded by risk factors and
other comorbidities. Data were analyzed by SPSS version
23 using frequency tables and percentage. For numerical
data, the median, and interquartile range (IQR) were used.
Differences between categoric
Receipt date:10/27/2021 accepted date:12/15/2021 Publication date:31/12/2021
This work is licensed under a Creative Commons Attribution 4.0 International License.
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