Intro
Infertility is a public health problem during the re.
productive age, affecting about 10-15% of couplesattempting to achieve pregnancy in worldwide ( 1 ).
Infertility is defined by the failure to achieve a natu.
ral pregnancy after 12 months or more of regular un.
protected sexual intercourse ( 2 ). For many couples,
the inability to bear children is a shocking tragedyleading to serious physical, social, psychological andsexual dysfunction in their lives ( 3 ).
According to World Health Organization (WHO),
the term primary infertility is used when a womanhas never conceived and secondary infertility is theincapability to conceive in a couple who have had atleast one successful conception in the past ( 4 ). Infertility can be attributed to anomalies associated witheither male or female reproductive systems or withboth partners. Several factors can disturb the process
of fertility at any step. For example, female infertilitymay be due to one or more reasons such as, polycysticovary syndrome ( 5 ), hormonal disorders ( 6 ), premature ovarian failure ( 7 ), genital infections ( 8 ), endo.
metriosis ( 9 ), fallopian tube obstruction ( 10 ), congenital uterine anomalies ( 11 ), uterine synechiae ( 12 ),
or other medical complications (diabetes and thyroiddisorders) ( 13 - 14 ).
Nevertheless, male infertility is due to hormonal imbalances,
and sperm abnormalities ( 3 - 15 ). Other main
causes of infertility could be age of a couple ( 16 ), occupation,
and socio-economic status ( 17 ). Few studies
were dedicated to determine the prevalence and associated
risk factors for infertility in Morocco. Therefore,
our aim was to determine the difference between
primary and secondary infertilities and to better understand
the main infertility associated factors in the
Moroccan population.
Results
A total of 619 infertile women were included in this study,
417 (67.37%) with primary infertility and 202 (32.63%) with
secondary infertility.
Comparison of socio-economic and demographic characteristics between primary and secondary infertilities
Comparison of clinical characteristics between primary and secondary infertilities
FSH; Follicle stimulating hormone, LH; Luteinizing hormone, and AMH; Anti-mullerian hormone.
Variables independently associated with primary (n=202) and secondary (n=417) infertilities, according to the multiple logistic regression model
OR; Odds ratio and CI; Confidence intervals.
The socio-economic and demographic characteristics
between primary and secondary infertilities are presented
in Table 1. The average of women’s ages were 28.7 ±
5.7 years and 31.95 ± 5.6 years in primary and secondary
infertility, respectively. The average ages of their
husbands were 35.8 ± 7.7 years and 38.8 ± 6.8 years in
primary and secondary infertility, respectively. The difference
between their ages was significant. Also, a good
socio-economic situation was reported by primary infertile
women (93.3%) compared to those with secondary
infertility (P=0.003). After that, the majority of these
women reported that their weights were normal and only
15% had excess weight. Furthermore, a longer duration of
marriage was reported in secondary infertility compared
with primary infertility (P=0.001).
However, the duration of infertility was not different in
the two groups of infertility. In comparison to secondary
infertility, primary infertile women showed enthusiasm
for medical diagnosis such as hysteronsalpingography
(39.08%), and pelvic ultrasound (94.48%). However, in
secondary infertility, 70.3% of spouses refused to see a
specialist compared with the primary infertility group
(P=0.001). The semen analysis was mainly practiced to
evaluate primary infertility (56.8%) with a significant difference.
The clinical characteristics between the two groups of
infertility were presented in Table 2. With the exception of
menstrual disorders, the major causes of primary infertility
were entirely due to male reproductive organs, particularly
varicocele and abnormalities of semen, with a significant
difference. The main causes of secondary infertility
were observed mostly among women; such causes include
hormonal disturbance, medical complications, polycystic
ovary syndrome, tubal dysfunction, genital infections,
uterine anomalies, endometriosis and adhesions without
significant difference. However, according to multiple logistic
regression models, variables independently associated
with primary and secondary infertility, are presented
in Table 3. In this model, the duration of marriage (OR=
12.263: 2.289-65.685), the age of the woman (OR=1.268:
1.038-1.549), and the socio-economic status (OR=3.83:
1.011-14.70) were relatively independent predictive variables
associated to secondary infertility.
Discussion
To our knowledge, this is the first study able to determine
the difference between primary and secondary infertility
in Morocco and to distinguish among the associated
factors. The overall rates of primary and secondary infertility
were 67.37 and 32.63%, respectively. This result is
similar to those published in other areas of Africa ( 18 ). In
secondary infertility, the couple’s average age was higher
when compared to those who had primary infertility. Previously,
this age difference has been highlighted by other
researchers to some degree ( 17 ).
In this study, this result can be explained partly by a major
change in the age for marriage in Morocco (from 17.3
years old in 1960 to 26.6 years old in 2010) ( 19 ). The age
of couple is clearly an important factor in reproduction, as
a woman’s fertility is strictly dependent on age. The peak
of ability to reproduce usually around the age of 20 years
for women. Indeed, it starts to decline from the age of 30,
and reduce severely from the age of 40 ( 16 ).
In secondary infertility, an overly long duration of marriage
and an advanced age of the couple could decrease
their chances of having a new child. This finding was
close to the one recorded by Keskin et al. ( 17 ). Also, the
socio-economic level of a couple can influence the type
of their infertility.
In primary infertility, the majority of women with relatively
high-to-moderate socio-economic status are able to
resolve their infertility problems. This status can provide
fast and easy access to several diagnostic methods and
infertility treatments ( 21 ). Moreover, excess body weight
of women was a powerful determinant of infertility risk
by ovulation disorders ( 22 ).
According to the perception of the participants, however,
their body weights were normal in both primary and
secondary infertility groups. This perception is not compatible
with that observed among Moroccan population
( 23 ). Also, the apparent weight does not always reflect
actual weight status based on the body mass index ( 24 ).
In fact, the diagnosis of male infertility is an essential step
for a quick and effective treatment. However, the sperm
abnormality is the major cause for infertility (45.1%)
among primary infertile men compared to secondary infertility
(20.3%).
This result can be explained by the advanced age and
also exposure to urogenital infections affecting the quantity
and the quality of sperms. In Africa, the sperm abnormalities
were estimated at 68% for the age 31-40 years
( 15 ). In this investigation, the rate of female infertility
was significantly higher in secondary infertility than primary
(66.10 vs. 44.20%). Also, the most common causes
of female infertility were ovulation disorders, which manifest
themselves by sparse or absent menstrual periods
( 22 ). Furthermore, certain studies have demonstrated that
40 to 50% of infertilities were due to female reproductive
organs ( 21 ).
Finally, the difference between primary and secondary
infertilities in Morocco was relatively associated with
three independent variables, particularly the duration of
marriage (OR=12.263: 2.289-65.685, the woman’s age
(OR=1.268) and socio-economic position (OR 3.83). Furthermore,
the bounds of this interval were very far from
the value 1, which means that the result was positive and
therefore the duration of infertility was strongly related to
secondary infertility.
To reduce the limitations in our study, further investigations
should be undertaken with control groups of fertile
women to provide additional information on risk factors
for male and female infertility. Furthermore, a high-quality
dialogue between all participants will be recommended
for better management of infertility.
Conclusions
In this study, primary and secondary infertilities were
due to the intersection of several demographic characteristics
and medical factors. However, woman’s age, duration
of marriage and socio-economic status had a significant
impact to accentuate the severity of secondary infertility.
Materials Methods
This cross-sectional study was conducted with the approval
of the Ethic of the Moroccan health authorities in the region
of Marrakech-Safi. This region is located in the middle of
Morocco and consists of one state and eight administrative
provinces. This study was conducted at different public and
private health centers in the region of Marrakech-Safi. A sample
of 619 infertile women referring to these health centers
was selected by a simple random sampling method, between
1 October 2013 and 31 December 2015. The subjects were
chosen without any previous appointments.
The study protocol was explained and the informed consent
was obtained from all participants before enrolment. In
this study, all data was collected through a questionnaire and
the information provided by health booklets for each married
woman who had difficulty becoming a mother after at least 12
months of regular unprotected sexual intercourse. The questionnaire
contained different elements: socio-economic data,
demographic characteristics, age of the couple, and their nutritional
status. Also, searching health booklets provided history
and clinical information [urogenital infections, medical complications,
diabetes, thyroidism, menstrual disorders, polycystic
ovary syndrome (PCOS), tubal dysfunction, varicocele and
congenital uterine anomalies] and methods of diagnosis, particularly
the results of ultrasounds, hysterosalpingographies,
hysteroscopies, hormone levels and semen analyses.
Other data associated with male and female reproductive
organs were included such as menstruation disorders, uterine
malformations, hormonal imbalances, varicocele, the quality
of sperms, and other medical complications.
The subjects who had met our inclusion criteria were married
women during their childbearing ages, who had referred
to health centers for infertility problems after 12 months of
trying for pregnancy. Prior to this research study, the collection
tool was tested with a pilot group of women similar to
those wishing to participate voluntarily in this survey. All
women were entered into the study and their associated data
was collected by trained research nursing students.
A one-sample Kolmogorov-Smirnov test was used to analyze
normality for continuous variables. A Chi-square test and
Fisher’s exact test were used for categorical variables.
Student’s t test was used to estimate the observed differences
between the means. The multivariate data analysis was
used to allow for the elimination of the confounding factors
and entering the weight of the associated variables with the
type of infertility in the bivariate analysis set at 0.2. These
variables were used to identify factors that were independently
associated with secondary infertility. Associations were
measured in odds ratio (OR) with 95% confidence intervals
(CI). Data analyses were carried out using SPSS (SPSS Inc.
for Windows version 10.0, Chicago). For all analyses the differences
were considered significant when P<0.05.
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