Discussion
Distribution of the Demographic Data Characteristics of the Study Sample. Table (4-1):
Age groups: The mean and S.D. is 1.97 + .643; more than half of sample (59%) were their age are between (26 – 36) years old, this result is consistent with that obtained by Willame et al., (2015) who stated that the age of their study
sample was (26-35) years.
Residency:The majority of subject reported that they live in urban areas (64%), these result is consistent approximately with Alghalibi et al., (2016) who stated of their study sample that they live in urban areas was (71,1%).
Level of Education: Concerning the level of education; were preliminarily graduated and college graduated (22%) are more than other levels. This finding is higher than that obtained by Ali, (2020) who reported that the level of education Primary school level was (12.5 %). Aljumaili et al., (2014) reported the high prevalence the level of education was Primary school.
Employment Status:The employment status, Housewife is the higher proportion (72%) of the study sample this result agrees with the study done by Mamuye et al., (2015) who indicate that the majority of the study sample was a housewife (66.5%).
Family Monthly: According to the family income; barely sufficient makes a third of the
sample about (43%), this result is consistent with that obtained by Wizman
et al., (2016) was middle (48%).
House Property: About (43%) to whom have own house at house property this result is inconsistent with Demmler (1991) who stated in his study the high rate of house property was rent house.
Consanguinity: Consanguineous degree made about two thirds (60%) of the study sample, while the 2nd degree of consanguinity is a greater percentage (42%) more than 1st degree. This result is higher than that reported by
Karatas et al., (2008) was18% Consanguineous.
Distribution of the Reproductive Data Characteristics of the Study Sample Table (4-2):
·Age of Menarche
The menarche age mean and S.D. were (1.77 + .709) that near to the half of sample (45%) was their age of menarche at 13-14 years, these result consistent with Firth & Hurst (2017) who reported the menarche age was
(13) years in their studies.
·Regularity of Menstrual Cycle
Regarding the Regularity of the Menstrual Cycle, regular cycle period was (59%) are more than irregular. These studies were inconsistent with Mostad et al., (2000) who reported in his study irregular menstrual
cycle.
A higher percentage of the sample (74%) was their age of marriage at 16–26 years, Mean + S.D. (1.76 + .452), according to the study of Iraqi CSO (2011) recommended that the mean age for marriage was 22 years old.
The Mean + S.D. of the sample their age at 1st pregnancy is (1.52 + .559). About half of the sample (51%) of their age at 1st pregnancy is between (16-22) years, according to the study of Iraqi CSO (2011) reported that only (14.3%) was starting their reproductive life at (15-19) years old.
- ·Interval between last pregnancy & this Pregnancy
According to the period of interval between last pregnancy and present pregnancy, who have less than one year are (38%) more than
others, according to the study of Iraqi CSO (2011) reported that 25% of women need for family planning for regulating the intervals between pregnancies for two years and more.
- ·Follow-up pregnancy in Health Center
The sample that not attending the health center is (73%) more than those attending, so the percentage is the same in the type of follow-up to the health center (no follow-up) and only (27%) follow-up pregnancy in the health center. These studies were consistent with Willame et al., (2015) who reported only (10.5%) follow-up pregnancy in the health center.
- ·Follow-up pregnancy in External Specialist Clinic
The sample that attending the external specialist clinic is (60%) more than who attending and the percentage is (34%) of them have irregular follow-up based on the type of follow-up to an external specialist clinic, these studies consist with Willame et al., (2015) who reported (78.6%) follow-up pregnancy in external specialist clinic.
Regarding the current abortion in weeks, more than a third sample size (36%) are between (10-15) weeks. These studies are consistent with Bonalumi et al., (2011) who reported the higher prevalence of current abortion in weeks from (12-16) weeks.
Approximately (71%) of these study samples are diagnosed. A higher percentage (38%) of these causes is CMV and (28%) are unknown causes. This result is less than the result that reported with Hussan (2013) was (56%) of aborted women with unknown causes of abortion and reported CMV IgM (21%), (29 IgG) causes of abortion.
·Last Age of Pregnancy in Weeks
According to the last age of the pregnancy, less than 20 weeks made near half of the sample (41%). weeks. This study is less than reported with Pass & Arav-Boger (2018) who reported the higher prevalence of the last age of a pregnancy from (20-21) weeks.
An according to the number of gravidae (1-2) gravida makes (37%) of the sample, these studies supported by Bagheri et al., (2012) who reported when Prim gravid makes (32.1%), Multiparous makes (67.9%).
the same number (1-2) makes (48%) according to the number of para, these study consistent with Lee et al., (2020) who reported the number of para (1) makes (47.7%) and reported (39.0%) in his study when the number of para. (2).
·Number of Abortions
While regarding the number of abortions, (67%) of the sample who have one abortion, these studies higher than reported by Umeh et al., (2015) who reported the number of abortions when (one) abortion makes (54%).
According to the number of stillbirths, higher percentage (88%) is who have no stillbirth, these study consistent with Alvarado-Esquivel et al., (2018) Who reported (89.3%) have no stillbirth.
Type of Previous Deliveries
The type of previous deliveries, NVD made (58%) of sample is higher than other types, these studies consistent with Marin et al., (2016)
who reported (56 %) NVD.
Distribution the Women's Knowledge Responses Regarding to All Items about the Risk Factors. Table (4-3):
In the table of the women's knowledge responses regarding all items out the risk factors discussion the women smoking cigarettes less than 20 cigarettes per day is only 1%, and more than 20 cigarettes per day are also 1%. These results supported by Hussain & Sullivan (2017) who reported 4% of women smoking cigarettes. In addition, the husband smoking cigarettes less than 20 cigarettes about 41%, and Smoking more than 20 cigarettes about 40%. This study is almost higher than the study reported by Hussain & Sullivan (2017) who reported (31%) among males whom cigarettes smoking. In addition, these study higher than reported by Lachmann et al., (2018) who reported (21%) of males whom cigarettes smoking. Also in this study the husband Smoking Hookah only 19%. These results support by Hussain & Satar (2013) who reported (13.9) hookah smoking
The women underwent a CMV test during pregnancy in this study was (38%). These study less than reported by Ross et al., (2018) who
reported from (50-80) women underwent CMV test during pregnancy. Only three samples in these studies suffer from viral hepatitis. These studies are consistent with Hughes et al.,
(2017) who reported (1-2.5%) pregnant women suffer from hepatitis. In addition, these studies inconsistent with Alvarado-Esquivel et al. (2018) who reported (14%)
pregnant women suffer from hepatitis. Only (11%) from samples in these studies suffer from anemia. These finding less than reported with Gautam (2019) who reported (38%)
pregnant women suffer from anemia. Also, these studies inconsistent with WHO/CDC (2008) who reported (42%) of pregnant women suffer from anemia. About (20%) of the samples in these studies had previous surgical operations. These results are less than reported by Joffe & Oguro (2012) who reported (45%) of samples had previous surgical operations. Also, these studies inconsistent with Alvarado-Esquivel et al., (2018) who
reported (71%) of samples had previous surgical operations.
Distribution the IgG and IgM Test Type and Results among Study Sample Table (4-5).
the types of the test and its results in these study, majority proportion (62%) is who have negative results, while the positive result in IgG type is a higher percentage (37%) was more than positive in IgM that had (1%) only. Thes study consistent with De Paschale et al., (2009) in an Urban Area of Northern Italy who reported (0.9%) CMV IgM but this result less than reported by De Paschale et al., (2009) CMV IgG (68.3%).
Conclusion
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