Introduction
Infertility has been described as a “ disease” of male or female
reproductive system defined by failure to achieve a pregnancy after
twelve months or more of regular, unprotected sexual intercourse. 1
It is estimated that, globally, as low as 48 million and as high as
186 million individuals are affected by infertility. 2-4 A range of extra
uterine (endocrine, abnormalities of the ovaries), intrauterine (uterus,
fallopian tubes), intracavitary (abnormalities within the uterine
cavity) and infectious diseases (Tuberculosis, hepatitis) among other,
may be responsible for female infertility, which could be primary
(never achieved pregnancy) or secondary (had achieved pregnancy
at least once). Adequate clinical fertility management includes
prevention, diagnosis of hindrances to get pregnant and removal of
such hindrances and application of appropriate treatment to reverse
infertility. According to WHO, equal and equitable access to fertility
care remains a challenge in most countries; particularly in low and
middle-income countries.1 certain conditions constitute hindrances to
fertility, either as causative or as co-morbidity with infertility or both.
Among these are certain chronic medical diseases such as hypertension
and diabetes. For example, chronic high blood pressure prior to
pregnancy has also been linked with (i) poor egg quality (ii) excessive
production of estrogen (iii) difficulty in embryo implantation and (iv)
miscarriage. Those that high blood pressure can contribute to their
infertility or lower their chances of getting pregnant are women who
are (i) aged above 35 years, (ii) overweight or (iii) obese. 5 In a study
on Infertility and risk of hypertension, Farland et al., 6 reported no
apparent increase in hypertension risk among infertile women or those
who previously underwent fertility.6 Another chronic illness that can
cause infertility is diabetes of either type. Although a woman may get
Pregnancy & Child Birth. 2022;8(3):71‒78. 71
©2022 Olamijulo et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which
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Gynecological co-morbidity, chronic illnesses and
infectious diseases among black African women
with primary or secondary infertility: should we be
worried about hepatitis?
Volume 8 Issue 3 - 2022
Joseph Ayodeji Olamijulo,1 Joseph Agboeze,2
Bamgboye M. Afolabi3,4
1Department of Obstetrics and Gynecology, Lagos University
T eaching Hospital, Nigeria
2Department of Obstetrics and Gynecology, Alex Ekwueme
Federal University T eaching Hospital, Nigeria
3Nigerian Institute of Medical Research, Nigeria
4Health, Environment and Development Foundation, Nigeria
Correspondence: Dr. Bamgboye M Afolabi, Health,
Environment and Development Foundation 18 Ogunfunmi
Street, Surulere, Lagos, Nigeria, Email
Received: May 10, 2022 | Published: Aug 04, 2022
Abstract
Introduction: Female infertility may not occur alone but could be associated with other
health conditions. Overlooking these health conditions during clinical assessment of
women who present with primary or secondary infertility may not bring desired results of
achieved pregnancy.
Objective
To determine the frequency and relative risks of certain chronic illnesses such
as hypertension and diabetes, infectious diseases such as hepatitis and other gynecological
diseases such as uterine fibroid and endometriosis in women with primary and secondary
infertility taking into consideration their age groups and body mass index.
Study design: This was a retrospective study carried out at a tertiary health care facility in
Lagos Nigeria.
Methods
Records of patients who consulted for the management of infertility were
retrieved for analysis.
Result
The overall prevalence of hypertension, diabetes, cancer and asthma in all patients
were 9.6%, 6.8%, 0.8% and 0.4% respectively. Among the infectious diseases, hepatitis B
occurred most frequently at 19.1%, more among women with SI (28.0%) than PI (13.9%).
The most prevalent gynecological diseases as co-morbidity were uterine fibroid (32.7%) and
endometriosis (11.2%). Pooled analysis showed that there was a significant variation in the
distribution of Polycystic ovarian syndrome (PCOS) (Pearson’s χ²=10.14, P-value=0.02)
relative to age, no significant distribution of any disease relative to body mass index (BMI)
in Kg/m2, significant distribution of intrauterine adhesion relative to age (years) and BMI
among those with PI (Pearson’s χ²=9.80, P-value=0.04) but not in SI. Significant correlations
were observed between infertility and hepatitis (r=0.17, P-value=0.006, 95% CI= 0.06,
0.36) and between infertility and fibroid (r=0.1868, P-value=0.003, 95% CI=0.07, 0.32).
Conclusion
Through this study it is concluded that women with history of primary
infertility are more at risk of diabetes, endometriosis and PCOS more than those with
SI; conversely, those with SI are more at risk of hypertension, hepatitis, fibroid and
adenomyosis. Gynecologists and fertility experts in sub-Saharan Africa should probe for
these diseases in each patient who presents with infertility, after excluding male factor
as contributing to female infertility. Early diagnosis of these diseases and others among
infertile or sub-fertile women can minimize pain and reduce cost of hospitalization and also
minimize the number of patients with unexplained infertility.
Key words: hypertension, diabetes mellitus, hepatitis b, uterine fibroid, endometriosis;
infertility, black women, sub-saharan africa
International Journal of Pregnancy & Child Birth
Research article
Open Access
Gynecological co-morbidity, chronic illnesses and infectious diseases among black African women with
primary or secondary infertility: should we be worried about hepatitis?
72
Copyright:
©2022 Olamijulo et al.
Citation: Olamijulo JA, Agboeze J, M. Afolabi B. Gynecological co-morbidity, chronic illnesses and infectious diseases among black African women with primary
or secondary infertility: should we be worried about hepatitis?Pregnancy & Child Birth. 2022;8(3):71‒78. DOI: 10.15406/ipcb.2022.08.00264
pregnant with proper control with gycemic medications, remaining
pregnant for the entire duration may pose a major problem, especially
if she has had diabetes for a prolonged period.7
Diabetes is known to impact female and male fertility by causing
hormonal disturbances with delayed or failed implantation and/or
conception as consequences as well as poor sperm and embryo quality
and damaged genetic mutations and deletions8 A study reported a 20%
greater risk of developing diabetes among women with a history of
infertility compared with those without such a history, after adjusting
for adjusting for age, lifestyle factors, marital status, oral contraceptive
use, family history of diabetes and BMI.9 Other health conditions that
may cause infertility are uterine fibroid and endometriosis. Uterine
fibroid is present in about 33% of women of reproductive age10 and in
Nigeria; there is a relatively high prevalence of symptomatic fibroid
in women who presented with infertility.11
Despite the fact that between 5% to 10% of female infertility
linked with uterine fibroid, uterine fibroid is reckoned to be the
exclusive constituent for infertility in only 1% to 3% of cases. 12,13
Endometriosis, the presence of endometrial-like tissue (glands and
stroma) outside the uterus, which induces a chronic inflammatory
reaction, scar tissue, and adhesions that may distort a woman’s
pelvic anatomy and primarily found in young slender women. 14 An
enigmatic disease, endometriosis, impacts about 10% of women in
child-bearing age causing pain and infertility. Approximately 50%
of women diagnosed with endometriosis are infertile 15 while about
20% of infertile women have endometriosis. 16 Further, Polycystic
ovarian syndrome (PCOS), an endocrine disorder in which women
have higher than normal levels of testosterone (hyperandrogenism), is
a common condition that can reduce or prevent female fertility. It is a
condition in which a large number of cysts develop on the ovaries and
is associated with irregular periods (oligomenorrhea) or absent periods
(secondary amenorrhea) thus an ovulation or irregular ovulation. 17
PCOS is particularly associated with obesity and type 2 diabetes.
The prevalence of PCOS in the Chinese community population was
5.6%18 and it occurs in one in six infertile Nigerian women.19
Obesity plays a vital role in hyperandrogenism, hyperinsulinemia,
and the development of PCOS,20 Infectious diseases, such as Hepatitis
B virus (HBV), have also been known to negatively affect fertility. The
World Health Organization (WHO) documents that African, Asian,
and South American countries have carrier rates as high as 8%, with
Africa, south of the Sahara responsible for 20% of the global burden.21
For example, one source suggested that HBV infection in either
partner is associated with tubal infertility and that HBV infection in
either partner probably increases the risk of pelvic infection in female
partner through impaired immune response to sexually transmitted
infections, with consequent tubal damage and infertility.22
HBV infection in women has been associated with increased
risk of tubal and uterine infertility and in men, it has been linked with
increased risk of tubal infertility in their partner, due to the HBV virus
lowering the woman’s immune system and increasing the chance of
pelvic infection.23 It might not be too challenging for gynecologists
to diagnose infertility in sub-Saharan Africa but exploring definitive
cause(s) and risk factors for infertility, and removing cause and
ameliorating the condition such that the patient becomes pregnant may
be a Herculean task. Considering the many causes of female infertility
which a woman can be exposed to and considering the dearth of
local data on some of these conditions, the study aimed to calculate
the risk of co-morbidity with other gynecological illnesses, chronic
illnesses and infectious diseases that co-exist with either primary or
secondary infertility among Black Women in sub-Sahara Africa. The
study intended to list diseases most prevalent in primary or secondary
infertility relative to age and body mass index and to evaluate the
correlation and linear regression of primary and secondary infertility
against these diseases for any significant association.
Materials and methods
In 2018 and 2019, a total of 1421 and 1590 gynecological cases
were seen, respectively, making a total of 3011. In each of these years,
202 (14.2%) and 206 (13.0%) cases (408, 13.6%) of female infertility
were recorded at a tertiary health facility in Nigeria. Of this number,
251 (61.5%) cases of female patients attending weekly gynecology
clinic were randomly selected and analyzed in this study. The tertiary
health facility serves a population of approximately 5 million people
not only for obstetrics and Gynecology but for all other clinical, sub-
clinical and biomedical departments. Patients patronizing this facility
are from all strata of the society. Patients are also referred from other
primary, secondary or private health facilities to this tertiary health
facility.
Type of study: This was a retrospective study in which hospital
records of female patients who presented for management of infertility
were retrieved by simple random sampling.
Inclusion criteria: Those included in the study were Black women,
Nigerians by nationality, resident in the country and not visiting. Also
included were those who had complete medical and gynecological
records.
Exclusion criteria: Non-Nigerians, Caucasians, those on admission,
those with fulminant neoplasm or with any severe illness were
excluded.
Clinical examination and laboratory investigations: All patients
were investigated appropriately. The attending gynecologists took
relevant medical, gynecological and social histories from each
patient. At the initial consultation and subsequently on each visit,
each patient’s systolic and diastolic blood pressure was measured in
a sitting position; fasting or random blood sugar or other appropriate
investigation for the analysis of blood sugar was assessed. Where
necessary, laparoscopy and appropriate gynecological procedures
were conducted using standard methods in operation theatre or
other designated places, especially for endometriosis. Evidence
of endometriosis was based on the presence of chocolate ovarian
cyst among other. Uterine fibroid was initially suspected based on
palpation informative of enlarged irregular uterine configuration on
examination of the pelvis after which a confirmatory diagnosing by
Ultrasonography (USS) examination was made.
Ultrasonography was also used for the confirmation of other
gynecological diseases. Venous blood was aseptically taken into
appropriate containers and sent to the laboratory for investigations
of hepatitis, HIV among other and for relevant endocrine profile
of the patients. Data extracted from hospital records of the patients
included their socio-demographic information, history medical and
gynecological illnesses, and social history including consumption
of alcohol, traditional medicinal herbal tea, cigarette smoking and
use of tobacco. History of sexually transmitted diseases such as
Gonorrhea, Human Immuno-deficient Virus (HIV) and Hepatitis were
also extracted. Furthermore investigations that the patients had done
and the results of such investigations, the diagnosis, prognosis and
possible causative agents of their illnesses, these data were extracted
by two trained research assistants into a pro-forma questionnaire
designed by two of the three authors (JA, BMA) and verified by the
third author (JAO). The data extraction was supervised and verified
Gynecological co-morbidity, chronic illnesses and infectious diseases among black African women with
primary or secondary infertility: should we be worried about hepatitis?
73
Copyright:
©2022 Olamijulo et al.
Citation: Olamijulo JA, Agboeze J, M. Afolabi B. Gynecological co-morbidity, chronic illnesses and infectious diseases among black African women with primary
or secondary infertility: should we be worried about hepatitis?Pregnancy & Child Birth. 2022;8(3):71‒78. DOI: 10.15406/ipcb.2022.08.00264
by one of the authors (JAO). Age was categorized into 45 years. Body Mass Index (BMI) was
calculated as body weight in kilograms (kg) by height (squared) in
meters or Kg/m 2 before BMI was stratified as <18.5 (underweight),
18.5-24.9 (normal), 25.0-29.9 (overweight) and ≥30 (obese). The
extracted data were then transferred into Excel spreadsheet, verified,
cleaned and imported into statistical software for analysis.
Statistical analysis
Statistical analysis was performed by using NCSS 2021 (Kaysville,
Utah, USA). Age (years) was categorized as ≤25, 26-35, 36-45 and
>45, BMI (Kg/m 2) was segregated into <18.5, 18.5-24.9, 25.0-29.9
and ≥30. 24 Infertility was stratified as primary and secondary. The
chi-square was used to test the significance of differences between
two proportions while Pearson’s χ² was used to test the significance
between more than two proportions in a pooled analysis. T-test
was used to evaluate significant differences in means between two
groups while one-way ANOV A were used to compare more than two
samples. Relative risk, odds ratio (OR) and 95% confidence interval
(CI) as well as Correlation and Linear Regression Analysis were
determined using appropriate commands. Data were presented as
number (percent) or mean ± SD, Tables and Figures. P-value≤0.05
was considered significant.
Results
Frequency distribution of and relationship between
age (years), Body Mass Index (Kg/m2) and types of
infertility (T able 1, Figures 1a, b)
Those aged 26-35 (117, 46.6%) and those with BMI≥30 Kg/m 2
(131, 52.2%) formed the bulk of the study population. There was no
study subject with BMI <18.5 Kg/m 2. In all, the proportion of those
with primary infertility (PI) (158, 62.9%) was higher than that of
those with secondary infertility (SI) (93, 37.1%). Pearson’s chi square
analysis shows that PI or SI was significantly associated with age
(Pearson’s χ²=14.89, P-value=0.001) but not with BMI (Pearson’s
χ²=0.15, P-value=0.93). This assertion is illustrated in Figure 1a
which elaborates the proportion of study subjects with primary or
secondary infertility relative to their age and in Figure 1b which
shows the same proportion relative to their BMI. Women in age-group
of 26-35 years were approximately 2½ times more likely to present
with PI (χ²=10.47, P-value=0.001, COR=2.39, 95% CI= 1.40, 4.07)
while those aged >45 years were roughly 2½ times more likely to
present with SI (χ²=5.30, P-value=0.02, COR=2.57, 95% CI= 1.13,
5.86). (Table 1)
T able 1 Frequency distribution of and relationship between age (years), Body Mass Index (Kg/m2) and types of infertility among study subjects
Variable Item n %
Infertility
χ² P-value
Primary infertility Secondary infertility
Primary
(n=158,
62.9%)
Secondary
(n=93,
37.1%)
COR 95% CI COR 95% CI
Age
(years)
≤25 10 4 8 (5.1) 2 (2.1) 0.65* 0.42 2.43 0.50, 11.68 0.41 0.09, 1.98
26-35 117 46.6 86 (54.4) 31 (33.3) 10.47 0.001 2.39 1.40, 4.07 0.42 0.25, 0.71
36-45 98 39 53 (33.5) 45 (48.4) 5.42 0.02 0.54 0.32, 0.91 1.86 1.10, 3.14
>45 26 10.4 11 (7.0) 15 (16.1) 5.3 0.02 0.39 0.17, 0.89 2.57 1.13, 5.86
Mean (±sd) 34.5 (6.6) 37.7 (7.3) t-test =
-3.59 0.0004 - - - -
Pearson’s Chi-square=14.89, P-value=0.001 (H0 is rejected: Primary/Secondary Infertility and Age are associated)
BMI (Kg/
m2)
<18.5 - - - - - - - - - -
18.5-
24.9 35 13.9 21 (13.3) 14 (15.1) 0.15 0.7 0.86 0.42, 1.80 1.16 0.56, 2.40
25.0-
29.9 85 33.9 54 (34.2) 31 (33.3) 0.02 0.89 1.03 0.60, 1.79 0.96 0.56, 1.66
≥30 131 52.2 83 (52.5) 48 (51.6) 0.02 0.89 1.04 0.62, 1.73 0.96 0.58, 1.61
Pearson’s Chi-square=0.15, P-value=0.93 (H0 is not rejected: Primary/Secondary Infertility and BMI are not associated)
*Fisher’s Exact T est; COR, crude odds ratio; No patient was underweight with BMI<18.5 Kg/m2.
Figure 1a Pearson’s Chi-square=14.89, P-value=0.001 (H0 is rejected:
Primary/Secondary Infertility and Age are associated).
Figure 1b Pearson’s Chi-square=0.15, P-value=0.93 (H0 is not rejected :
Primary/Secondary Infertility and BMI are not associated).
Gynecological co-morbidity, chronic illnesses and infectious diseases among black African women with
primary or secondary infertility: should we be worried about hepatitis?
74
Copyright:
©2022 Olamijulo et al.
Citation: Olamijulo JA, Agboeze J, M. Afolabi B. Gynecological co-morbidity, chronic illnesses and infectious diseases among black African women with primary
or secondary infertility: should we be worried about hepatitis?Pregnancy & Child Birth. 2022;8(3):71‒78. DOI: 10.15406/ipcb.2022.08.00264
Frequency distribution and risks of chronic illnesses,
infectious diseases and other gynecological diseases
relative to type of infertility among study subjects
(T able 2)
In all, hypertension (HT) was the most prevalent chronic illness
among the study subjects (24, 9.6%) followed by diabetes mellitus
(DM) (17, 6.8%). Hypertension was more prevalent (10/93, 10.8%)
and had higher relative risk (χ²=0.24, P-value=0.62, RR=1.21, 95%
CI=0.56, 2.62) among those with SI than among those with PI
(14/158, 8.9%), while DM was more prevalent (13/158, 8.2%) and had
higher relative risk (χ²=0.87, P-value=0.35, RR=1.91, 95% CI=0.64,
5.70) among those with PI than those with SI (4/93, 4.3%). Hepatitis
was the commonest infectious disease (48/251, 19.1%) with a higher
relative risk among those with SI (χ²=7.45, P-value=0.006, RR=2.01,
95% CI=1.21, 3.33) compared to those with PI (22/158, 13.9%).
However, the prevalence of Human Immunodeficiency Virus (HIV)
(9/251, 3.6%) was more common in PI than in SI subjects. In all,
uterine fibroid (82/251, 32.7%) ranked highest as a co-morbidity with
infertility, and most prevalent in SI (41/93, 44.1%) than in PI (41/158,
26.0%). The overall individual prevalence of other gynecological
diseases as co-morbidity with infertility were endometriosis (28/251,
11.2%), Endometriosis (28/251, 11.2%), Polycystic ovarian syndrome
(24/251, 9.6%), Uterine polyps (13/251, 5.2%), Intrauterine adhesion
(12/251, 4.8%), Adenomyosis (9/251, 3.6%), and Ovarian tumor
(8/251, 3.2%). Of these, those with SI had a higher relative risk of
adenomyosis (χ²=2.32, P-value=0.13, RR=3.40, 95% CI=0.87,
13.27) while those with PI had a higher relative risk of ovarian tumor
(χ²=0.12, P-value=0.73, RR=1.77, 95% CI=0.36, 8.57). (Table 2)
T able 2 Frequency distribution and risks of chronic illnesses, infectious diseases and other gynecological diseases relative to type of infertility among study
subjects
Variable Item
All
Freq.
(%)
T ype of infertility
χ² P-value
Primary infertility Secondary infertility
Primary
(n=158)
Secondary
(n=93) RR 95%CI RR 95%CI
Chronic illness
Hypertension 24 (9.6) 14 (8.9) 10 (10.8) 0.24 0.62 0.82 0.38, 1.78 1.21 0.56, 2.62
Diabetes
mellitus 17 (6.8) 13 (8.2) 4 (4.3) 0.87 0.35 1.91 0.64, 5.70 0.52 0.18, 1.56
Cancer 2 (0.8) 1 (0.6) 1 (1.1) 0 1 0.59 0.04, 9.23 1.64 0.10, 26.50
Asthma 1 (0.4) 1 (0.6) 0 (0.0) 0 1 undefined undefined
Infectious
disease
Gonorrhea 3 (1.2) 1 (0.6) 2 (2.2) 0.22 0.64 0.29 0.03, 3.20 3.4 0.31, 36.96
HIV 9 (3.6) 7 (4.4) 2 (2.2) 0.34 0.56 2.06 0.43, 9.71 0.49 0.10, 2.29
Hepatitis B 48 (19.1) 22 (13.9) 26 (28.0) 7.45 0.006 0.5 0.30, 0.83 2.01 1.21, 3.33
PID 1 (0.4) 1 (0.6) 0 (0.0) 0 1 undefined undefined
Other
gynecological
diseases
Uterine
fibroid 82 (32.7) 41 (26.0) 41 (44.1) 8.75 0.003 0.59 0.42, 0.83 1.7 1.20, 2.41
Ovarian
tumor 8 (3.2) 6 (3.8) 2 (2.2) 0.12 0.73 1.77 0.36, 8.57 0.57 0.12, 2.75
Endometriosis 28 (11.2) 18 (11.4) 10 (10.8) 0.02 0.88 1.06 0.51, 2.20 0.94 0.46, 1.96
PCOS 24 (9.6) 16 (10.1) 8 (8.6) 0.16 0.69 1.18 0.52, 2.64 0.85 0.38, 1.91
Adenomyosis 9 (3.6) 3 (1.9) 6 (6.5) 2.32 0.13 0.29 0.08, 1.15 3.4 0.87, 13.27
IUA 12 (4.8) 7 (4.4) 5 (5.4) 0.001 0.97 0.82 0.27, 2.52 1.21 0.40, 3.71
Polyps 13 (5.2) 8 (5.1) 5 (5.4) 0 1 0.94 0.32, 2.79 1.06 0.36, 3.15
Prevalence of different diseases among women with
primary or secondary infertility relative to age group
(years) (T able 3)
Pooled analysis shows no significant difference in the distribution
of any of the chronic illnesses or infectious diseases by age distribution
in PI or SI, though there were marginally significant divergence in
the spread of endometriosis (Pearson’s χ² = 7.59, P-value = 0.05) and
momentous variation in PCOS (Pearson’s χ² =10.14, P-value = 0.02).
Hypertension (5/10, 50.0%) and DM (6/33, 11.3%) were observed
more in PI aged >45 and 36-45 years respectively. Hepatitis was
most prevalent in SI aged 36-45 years (14/45, 31.1%) and in PI aged
45 years (6/15, 40.0%) and in PI aged 35-45 years (20/53,
37.4%).
Prevalence of different diseases among women with
primary or secondary infertility relative to body mass
index of study subjects (Table 4)
There was also no significant difference in the spread of chronic
illnesses, infectious diseases and other gynecological diseases relative
to BMI and type of infertility. However, it is pertinent to observe
that HT was more prevalent in obese (BMI ≥30 kg/m 2) women with
SI (10/48, 20.8%) than those with PI (9/83, 10.8%) while DM was
more common in obese women with PI (6/83, 7.2%) than in obese
women with SI (3/48, 6.2%). The highest prevalence of hepatitis
(6/14, 42.9%) was observed in normal weight women with SI. Among
those with PI, hepatitis was more common (4/21, 19.0%) in those with
normal weight (Table 4).
Gynecological co-morbidity, chronic illnesses and infectious diseases among black African women with
primary or secondary infertility: should we be worried about hepatitis?
75
Copyright:
©2022 Olamijulo et al.
Citation: Olamijulo JA, Agboeze J, M. Afolabi B. Gynecological co-morbidity, chronic illnesses and infectious diseases among black African women with primary
or secondary infertility: should we be worried about hepatitis?Pregnancy & Child Birth. 2022;8(3):71‒78. DOI: 10.15406/ipcb.2022.08.00264
T able 3 Prevalence of different diseases among women with primary or secondary infertility relative to age groups (years)
Variable Item
T ype of infertility
Pearson’s χ² df P-value
Primary (n=158) Secondary (n=93)
Age (years)
45
(n=10)
45
(n=15)
Chronic illness
Hypertension 1 (12.5) 4 (4.6) 4 (7.5) 5 (50.0) 0 (0.0) 4 (12.9) 6 (13.3) 0 (0.0) 5.9 3 0.12
Diabetes
mellitus 0 (0.0) 6 (7.0) 6 (11.3) 1 (10.0) 0 (0.0) 1 (3.2) 2 (4.4) 1 (6.7) 1.12 2 0.57
Cancer 0 (0.0) 0 (0.0) 1 (1.9) 0 (0.0) 0 (0.0) 1 (3.2) 0 (0.0) 0 (0.0) 2 1 0.16
Asthma 0 (0.0) 0 (0.0) 1 (1.9) 0 (0.0) 0 (0.0) 0 (0.0) 0 (0.0) 0 (0.0) - - -
Infectious
disease
Gonorrhea 0 (0.0) 0 (0.0) 1 (1.9) 0 (0.0) 0 (0.0) 1 (3.2) 1 (2.2) 0 (0.0) 0.75 1 0.39
HIV 1 (12.5) 4 (4.6) 2 (3.8) 0 (0.0) 0 (0.0) 2 (6.4) 0 (0.0) 0 (0.0) 1.29 2 0.53
Hepatitis 2 (25.0) 10 (11.6) 9 (17.0) 1 (9.1) 0 (0.0) 8 (25.8) 14
(31.1) 4 (26.7) 4.81 3 0.13
PID 0 (0.0) 1 (1.2) 0 (0.0) 0 (0.0) 0 (0.0) 0 (0.0) 0 (0.0) 0 (0.0) - - -
Other
gynecological
diseases
Fibroid 0 (0.0) 17 (19.8) 20 (37.4) 4 (36.4) 0 (0.0) 13
(41.9)
22
(48.9) 6 (40.0) 1.03 2 0.6
Ovarian tumor 1 (12.5) 3 (3.5) 1 (1.9) 1 (9.1) 1
(50.0) 1 (3.2) 0 (0.0) 0 (0.0) 1.33 3 0.72
Endometriosis 0 (0.0) 12 (13.9) 5 (9.4) 1 (9.1) 1
(50.0) 2 (6.4) 4 (8.9) 3 (20.0) 7.59 3 0.05
PCOS 6 (75.0) 8 (9.3) 2 (3.8) 0 (0.0) 1
(50.0) 1 (3.2) 4 (8.9) 2 (13.3) 10.14 3 0.02
Adenomyosis 0 (0.0) 2 (2.3) 1 (1.9) 0 (0.0) 0 (0.0) 1 (3.2) 4 (8.9) 1 (6.7) 2.4 2 0.3
IUA 1 (12.5) 5 (5.8) 1 (1.9) 0 (0.0) 0 (0.0) 1 (3.2) 1 (2.2) 3 (20.0) 6.51 3 0.09
Polyps 0 (0.0) 6 (7.0) 2 (3.8) 0 (0.0) 0 (0.0) 3 (9.7) 2 (4.4) 0 (0.0) 0.32 1 0.57
Distribution of different diseases among women with
primary infertility in different age groups relative to
body mass index of study subjects (Table 5)
Among all those with PI in all categories of BMI, none in age
group of ≤25 years presented a chronic disease. The only exception
was among overweight women among whom one subject (1/5, 20%)
presented with hypertension. Among those with PI, the highest
prevalence of HT (4/7, 57.1%) was observed in obese women aged
>45 years, of DM (2/12, 16.7%) was observed among overweight
women, of hepatitis (3/8, 37.5%) was observed among normal weight
women. Endometriosis was commoner (3/11, 27.3%) in normal weight
women aged 26-35 years. In a pooled analysis, there was a noticeable
difference (Pearson’s χ²=9.80, P-value=0.04) in the distribution of
IUA relative to BMI and age.
Distribution of different diseases among women with
secondary infertility in different age groups relative to
body mass index of study subjects (Table 6)
Among those with SI, HT was most prevalent (4/13, 30.8%) in
obese women aged 26-35 years, DM in overweight women aged
>45 years (1/5, 20.0%), hepatitis in normal weight women aged 36-
45 years (2/4, 50.0%) and aged >45 years (2/4, 50.0%). The most
prevalent gynecological co-morbidity was uterine fibroid, observed in
obese women in the age-group of 36-45 years (17/29, 58.6%).
Correlation and Linear regression analysis of infertility
(primary and secondary as dependent variables)
against various other conditions as independent
variables (Figures 2a-2j)
Figures 2a-j show significant correlations between infertility and
hepatitis (r=0.17, P-value=0.006, 95% CI= 0.06, 0.36) and between
infertility and fibroid (r=0.1868, P-value=0.003, 95% CI=0.07, 0.32).
No other variable showed any significant correlation with infertility
though adenomyosis approached a level of marginal significance
(r=0.12, P-value=0.06, 95% CI= -0.01, 0.62).
Discussion
This retrospective study used data of women in child-bearing
age group attending weekly clinic at a tertiary hospital in south of
Nigeria between 2018 and 2019 to investigate the most prevalent
type of female infertility and assess chronic medical, infectious
and other gynecological illnesses that could exist as co-morbidity
with either form of infertility. This approach is very relevant since
social, environmental and other factors can elicit health conditions
that may trigger or be linked with primary or secondary infertility. At
any rate, at the clinic, gynecologists, physicians or fertility experts
should be able to identify any co-morbidity with female infertility
and provide satisfactory management of not only infertility but also
co-morbidity. There are some key findings in the study that warrant
Gynecological co-morbidity, chronic illnesses and infectious diseases among black African women with
primary or secondary infertility: should we be worried about hepatitis?
76
Copyright:
©2022 Olamijulo et al.
Citation: Olamijulo JA, Agboeze J, M. Afolabi B. Gynecological co-morbidity, chronic illnesses and infectious diseases among black African women with primary
or secondary infertility: should we be worried about hepatitis?Pregnancy & Child Birth. 2022;8(3):71‒78. DOI: 10.15406/ipcb.2022.08.00264
further discussion. First and foremost, before going through co-
morbidity factors, the issues of age and BMI come to the forefront.
Age is a definitive factor that has been known to predispose a woman
in reproductive age to a higher risk of infertility in that the quality
and also quantity of a woman’s eggs gradually reduce with age such
that by about 35 years of age, speed of follicle loss is faster, leading
to possibility of fewer and poorer eggs, difficulty in conceiving and
higher risk of miscarriage. In this facility-based study, prevalence
of female primary infertility was 62.9%, a figure that is higher than
the 51.4% reported by Maheshwari et al., 25 but lesser than the 68.9%
reported from Khartoum, Sudan26 or the 78.0% reported from Henan
Province in China.27
Figures 2a-2j Correlation and Linear regression analysis of infertility (primary and secondary as dependent variables) against various other conditions as
independent variables.
Gynecological co-morbidity, chronic illnesses and infectious diseases among black African women with
primary or secondary infertility: should we be worried about hepatitis?
77
Copyright:
©2022 Olamijulo et al.
Citation: Olamijulo JA, Agboeze J, M. Afolabi B. Gynecological co-morbidity, chronic illnesses and infectious diseases among black African women with primary
or secondary infertility: should we be worried about hepatitis?Pregnancy & Child Birth. 2022;8(3):71‒78. DOI: 10.15406/ipcb.2022.08.00264
This might be due to modern Nigerian women in reproductive age
wanting to have an income, be independent of men or want to establish
a corporate identity in various industries in which early pregnancy
may deny them the opportunity of self-establishment. Another
possible reason is that men are not ready to get married because of
unemployment and scarce income to support a family. Studies have
actually reported that more men in the country are having fewer or no
sperm cells.28,29 The 46.6% prevalence of primary infertility in the age
group of 26-35 years is similar to the 46.0% reported in the same age
group from an Indian study 30 but the 48.4% prevalence of secondary
infertility among those aged 36-45 years in this study in this much
higher than the 21.6% reported in the same Indian study.
The submission of Cates et al., 31 that African couples were more
likely, than those from elsewhere, to have secondary infertility
or longer duration appears paradoxical, though it should still be
considered in the context of a population-based and not facility-based
study. Another key finding is that there was no significant difference
in the effect of Body Mass Index in primary or secondary infertility.
Many studies have reported the influence of BMI on infertility. For
example Zhu et al predicted that the relationship between infertility
and BMI presented a U-shaped curve and that underweight and obese
BMI tended to predict infertility. 32 In this study, the proportion of
women that were obese (52.2%) or overweight (33.9%) was higher
than the respective 46.4% or 39.4% reported from a study in Algeria.33
However, there was no significant difference of the effect of BMI
on primary and secondary infertility, though further studies on factors
not considered in this study, such as insulin-sensitizing adipokines
and abundance of adipose tissues34 may demonstrate potential effects
of BMI on the two types of infertility. Stratification by BMI showed
that hypertension was most prominent in obese women, regardless of
the type of infertility while diabetes was most prominent in normal
weight women with primary infertility as well as in obese women with
secondary infertility. Although there was no significant difference in
the proportion of women with primary or secondary infertility who
presented with hypertension or diabetes, still overall, hypertension
was more prevalent in those with secondary infertility, with a slightly
higher risk, while diabetes was seen more in those with primary
infertility, with about twice the risk compared to secondary infertility.
However when stratified by age, women with primary infertility,
aged over 45 years, were most likely to present with hypertension.
The insignificantly higher prevalence of hypertension in secondary
infertility may be due to the normal degenerative process as those
with secondary infertility were significantly older than those with
primary infertility.
Lack of regular exercise, increased sodium salt intake and obesity
may also be responsible as risk factors for the hypertension found in
both primary and secondary infertility. Plasma leptin concentration 35
may be raised in women with secondary more than those with primary
infertility, though this needs further study. Ghafarzadeh et al had linked
infertility in women with the development of metabolic syndrome
such as dyslipidemia, hypertension, insulin resistance, and obesity
and various cardiovascular abnormalities. 36 in obesity-associated
diabetes, cytokines released from adipocytes; adipokines - especially
adiponectin - probably play significant roles in reciprocally modulating
levels of glucose and insulin, among other things. 37 Further, lowered
concentration of high molecular adiponectin has been found to be
linked with cardiovascular disorder in type II diabetic patients.38
This calls for further studies on adiponectin among infertile Black
African women in sub-Saharan Africa that present with primary or
secondary infertility and with overweight or obesity, hypertension and/
or diabetes. A major key finding in this paper is the high prevalence
of Hepatitis B, more in those with secondary, with twice the relative
risk, compared to those with primary infertility. The overall 19.1%
prevalence of HBV in this study was higher than the 2.9%, 3.9% and
6.9% reported among pregnant women attending antenatal clinic in
Uganda,39 northern part of Nigeria 40 and in Ethiopia 41 respectively.
Possibly, HBV is a cause of idiopathic infertility, an issue that should
be explored further in infertility clinics in Africa. Another report
observes that individuals with HBV are 1.59 times more likely to
experience infertility than individuals who are not infected. 42 the
overall number of women with Gonorrhea, HIV and PID were too few
to make a meaningful deduction, though the relative risk of gonorrhea
was about 3½ higher in secondary than in primary infertility. Finally,
the 9.6% prevalence of PCOS reported in this study is lower than
the 13.8% reported from the Benin City in South-south Nigeria, 43
the 18.1% documented in Enugu, South-east Nigeria 44 and 33.0%
reported in Iraq45 respectively.
Limitations
There are few limitations in this study that need consideration,
the first of which is the sampling size which may be insufficient to
generalize to the Nigerian population and the sampling method which
may introduce bias. Also, the study was conducted in the tropical
forest region of the south and may not reflect the true picture in the
arid Savannah region of the north. Further, this was a retrospective
study and, though very remote, there might have been some error in
data records, a phenomenon that is common to most retrospective
studies.
Conclusion
In the analysis of this study, the proportion of women in the
reproductive age who presented with primary infertility was higher
than those who presented with secondary infertility. The study also
observed that, confirming what has been reported, age and infertility are
associated with both primary and secondary infertility whereas Body
Mass Index has the same association with either primary or secondary
infertility. Hypertension and Diabetes were almost equally distributed
in both types of infertility though the risk of hypertension was higher
in women with secondary than in those with primary infertility.
Conversely, the risk of diabetes was higher in women with primary
than in those with secondary infertility. The most prominent infectious
disease was Hepatitis B virus (HBV) which was more prominent in
those with secondary than in primary infertility. The study also found
that uterine fibroid was the most common co-morbidity, especially
in those with secondary infertility. Endometriosis, Polycystic ovarian
syndrome (PCOS), Intrauterine adhesion and polyps also featured
prominently as co-morbidity, the former two in primary and the latter
two in secondary infertility. Significant correlation was observed
between infertility and hepatitis. Screening for hepatitis should be
incorporated and aggressively pursued as one of the run-ups for female
infertility examination in sub-Saharan Africa. Further, a nationwide,
population-based survey of hepatitis in Nigeria should be undertaken
and reviewed on four-year basis.
Funding
None
Conflicts of interest
The authors declared no potential conflict of interest.
Acknowledgment
None
Gynecological co-morbidity, chronic illnesses and infectious diseases among black African women with
primary or secondary infertility: should we be worried about hepatitis?
78
Copyright:
©2022 Olamijulo et al.
Citation: Olamijulo JA, Agboeze J, M. Afolabi B. Gynecological co-morbidity, chronic illnesses and infectious diseases among black African women with primary
or secondary infertility: should we be worried about hepatitis?Pregnancy & Child Birth. 2022;8(3):71‒78. DOI: 10.15406/ipcb.2022.08.00264
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