ISSN: 2637-4544
Richard O Egeonu1, George U Eleje1,2*, Joseph I Ikechebelu1,2, Joseph O Ugboaja1, Osita S Umeononihu1, Chukwuemeka C Okoro1, Chigozie Geoffrey Okafor1, Emmanuel O Ugwu3, Chukwunonso Isaiah Enechukwu1, Arinze A Onwuegbuna4, Chika Ifeoma Ofiaeli5, Malarchy E Nwankwo1, Nnanyereugo L Onah6, Chidiebele M Ezeude7, Chijioke O Ezeigwe1, Boniface U Odugu6, Sylvester O Nweze6, Ifeanyi J Onyekpa6, Michel C Egbuniwe8 and JohnBosco E Mamah9
Received:June 13, 2023;Published:June 20, 2023
Corresponding author:George U Eleje, Department of Obstetrics and Gynecology, Nnamdi Azikiwe University Teaching Hospital Nnewi, PMB 5025, Nnewi, Nigeria
DOI: 10.32474/IGWHC.2023.05.000220
Objective:To compare mean serum level of malondialdehyde (MDA) and Total Antioxidant Capacity (TAC) in women with anovulatory infertility due to Polycystic Ovary Syndrome (PCOS) and those with tubal factor infertility.
Methods:It was nested case-control study of infertile women with confirmed anovulatory infertility due to PCOS and agematched women with confirmed tubal factor infertility (controls) over a 6-month period. Serum MDA and TAC levels were estimated and compared between the two groups. A correlation test was done between Body Mass Index (BMI) of the participants and the serum levels of these oxidative stress markers. The data was analyzed using statistical package for social science version 24.0.
Results:A total of 111 subjects (63 cases and 48 controls) were finally used for analysis. The mean serum level of MDA is significantly higher in the case group than the control group (3.01±0.99 vs. 2.36±0.79nmol/mL; P < 0.001); however, the mean serum level of TAC was significantly lower in the case group than the control (692.19±133.89μmol/L vs. 932.94±201.28μmol/L; P < 0.001). There was a weak correlation between serum MDA and BMI (r = 0.189, p=0.138), and between TAC and BMI (r =0.108, p=0.399).
Conclusion:Women with anovulatory infertility due to PCOS have significantly higher serum levels of MDA and lower serum levels of TAC than women with tubal factor infertility. This supports a possible role of oxidative stress markers in the etiology and pathogenesis of PCOS infertility. Antioxidant supplementation may be beneficial in the control and management of anovulatory infertility due to PCOS.
Keywords:Anovulatory infertility; malondialdehyde; oxidative stress; polycystic ovary syndrome; total antioxidant capacity
List of Abbreviations:AOPPs: Advanced Oxidation Protein Products; BMI: Body Mass Index; cGMP: Cyclic Guanosine Monophosphate; COS: Controlled Ovulation Stimulation; DNA: Deoxyribonucleic Acid; dROMs: Reactive Oxygen Metabolites; FRAP: Ferric Reducing Ability of Plasma; GCs: Granulosa Cells; GPx: Glutathione Peroxide; ICSI: Intracytoplasmic Sperm Injection ; IUGR: Intrauterine Growth Restriction; MDA: Malondialdehyde; NAUTH: Nnamdi Azikiwe University Teaching Hospital; OS: Oxidative Stress; PCOS: Polycystic Ovary Syndrome; PCR: Polymerase Chain Reaction; ROS: Reactive Oxygen Species; SOD: Superoxide Dismutase; TAC: Total Antioxidant Capacity; TBA: Thiobarbituric Acid
Polycystic Ovarian Syndrome (PCOS) is a heterogeneous and heritable disorder that affects women throughout their entire lifetime. It predisposes to diabetes mellitus, cardiovascular problems, and endometrial cancer among other complications. PCOS accounts for about 75% of ovulatory factor infertility in women of childbearing age [1-3]. Globally, it has prevalence of 5-10% [2]; with some racial/ethnic variations. The prevalence rate of PCOS in Nigerian population varies from 3.2% to 18.1% [4,5]. The diagnosis is usually made using the Rotterdam’s criteria [2]; which utilizes 2 out of the 3 of these criteria: oligo/anovulation, clinical and/or biochemical evidence of hyperandrogenism, and polycystic ovary morphology. For a reliable diagnosis of PCOS, several other conditions that could cause similar symptoms of menstrual dysfunction must be ruled out. The treatment of PCOS is individualized per the patient’s health needs and priorities [2,5]. Oxidative Stress (OS) has been implicated in its etiopathogenesis [6]. These oxidative stress markers include Malondialdehyde (MDA), Superoxide Dismutase (SOD), and Glutathione Peroxidase (GPx) [7,8]. It occurs because of an imbalance between the generation of free radicals and the body’s ability to neutralize them by the antioxidants. It has been implicated in many reproductive pathologic processes [9]. Malondialdehyde (MDA), which is a marker of oxidative stress, is a stable product formed by the peroxidation of polyunsaturated fatty acids of cell membrane [10]. The degree of antioxidant defense present in a biological system is referred to as Total Antioxidant Capacity (TAC). It has been shown that increase in MDA and decrease in TAC indicates an increase in oxidative stress [11]. Several studies have demonstrated the theory of the etiological association between Reactive Oxygen Species (ROS) and anovulation in PCOS patients with infertility [12-17]. When ovarian follicles experience oxidative stress, it can lead to direct damage to oocytes leading to impaired fertilization [12]. Despite this implication of oxidative stress in female infertility, there is dearth of comparative data on OS in women infertility of different aetiologies. Although a recent nested case-control study by Enechukwu et al. [13] determined the activities of oxidative stress markers and lipid profiles of patients with PCOS, the control group consisted of healthy women without infertility. Thus, the findings of Enechukwu et al study were apparent from the onset as better control would have been patients who had infertility apart from PCOS [13]. To expand the current literature on the exclusive contribution of oxidative stress to an etiopathogenesis of anovulatory infertility due to PCOS, the present nested case-control study was conducted to evaluate the serum oxidative stress markers and antioxidant capacity among PCOS patients with anovulatory infertility in comparison with infertile women with tubal factor infertility without PCOS.
Study design
A nested case-control study.
Study setting
Nnamdi Azikiwe University Teaching Hospital, Nnewi, Southeast Nigeria.
Study population
The study involved consented patients with infertility (anovulation due to PCOS as the test arm and tubal factor infertility as the control group).
Study duration
The study lasted for 6 months.
Diagnostic criteria
The diagnosis of PCOS was made according to the Rotterdam criteria, as defined by the European Society for Human Reproduction and Embryology and the American Society for Reproductive Medicine consensus declaration of 2003 [2,13]. The diagnostic criteria employed at least 2 out of the following 3 features: 1) Oligoand/ or anovulation; 2) Clinical and/ or biochemical evidence of hyperandrogenism; and 3) Transvaginal ultrasound scan morphology of PCO with 12 or more follicles in each ovary measuring 2-9 mm in diameter and/or increased ovarian volume >10 mL [2,13]. All the patients did hormonal profile to aid the diagnosis. Tubal factor infertility was diagnosed by hysterosalpingography and/or laparoscopy and dye test. The exclusion criteria were women diagnosed with chronic hypertension, cardiovascular diseases, diabetes mellitus, endometriosis and thyroid dysfunction, and women diagnosed with PCOS who had been on hormonal therapy, lipid-lowering or insulin-sensitizing drugs over the previous 3 months were also excluded.
Sample size
We estimated that a sample size of 84 with a 1:1 case to control ratio (42 cases and 42 controls) would allow us to accept a twotailed alpha error of 0.05 with 80% power using mean of 347.5 nmol/l and standard deviation of 22.8nmol/l for women with PCOS infertility and decrease of 4% in the MDA levels for controls as reported in a previous study by Turan et al. [14]. However, we recruited a total of 111 participants (63 and 48 participants in the case and control groups respectively to account for possible loss of sample and withdrawal of consent. Within the study period, 360 patients presented to fertility clinic of which 70 meet the criteria for PCOS and 190 for tubal factor infertility. After thorough evaluation and exclusion, 63 were recruited for assessment of MDA and TAC on the PCOS arm while 48 participants were recruited for the tubal factor arm. See Figure 1 for details.
Outcome measure
The mean serum level of MDA and total antioxidant capacity were the primary outcome measures.
The socio-demographic variables were extracted using a proforma. The height and the weight of the participants were obtained; and their body mass index calculated using weight (kg) / height (m2). The body weight of each subject in kilograms (kg) was determined using a clinical weighing scale, while the height in meters (m) was measured using a stadiometer. Body Mass Index (BMI) was calculated by dividing the weight by the square of the height (kg/m2). Blood was collected in a plain sterile vacutainer tubes and serum extracted after centrifugation. The sample was allowed to clot at room temperature for 15minutes. The clot was removed by centrifugation at 1,500xg for 10minutes by the researcher. The resulting supernatant (serum) was immediately transferred into a clean tube and then stored at -20oC until analysis was done.
Determination of Malondialdehyde (MDA) level.
The determination of MDA level was carried out using the
colourimetric method of Gutteridge and Wilkins (1982). This
method was used because it is readily available and is also
acceptable. Other more sophisticated methods of analysis were not
available in our hospital.
a) Principle: Malondialdehyde (MDA) is a product of lipid
peroxidation. When heated with 2-thiobarbituric acid (TBA)
under alkaline condition, MDA forms a pink-colored product,
which has maximum absorption at 532 nm. The intensity of
colour generated is directly proportional to the concentration
of MDA in the sample. To 0.1 ml of sample in test tube, 1
ml of 1% Thiobarbituric Acid (TBA) dissolved in alkaline
medium (0.05 M sodium hydroxide) was added. The mixture
was thoroughly mixed, and 1 ml of glacial acetic acid will be
added to the mixture, thoroughly shaken, and incubated in
boiling water (100 °C) for 15 minutes. It will be allowed to
cool, and the turbidity was removed by centrifugation at 3000
rpm (revolution per minute) for 10 minutes. Thereafter, the
supernatant was read at 532 nm. The same volume of TBA and
glacial acetic acid was added to the blank, but 0.1 ml of distilled
water was used instead of plasma.
b) Calculation:
The level of MDA in the serum was expressed as nmol/ml using
the molar extinction coefficient for MDA (1.56x105M-1cm-1).
MDA (nmol/ml) = (OD X 1000000)/ E532
Where:
E532 = Molar extinction coefficient for MDA (1.56x105
M-1cm-1)
1000000 = conversion of mMol to nMol
Estimation of Total Antioxidant Capacity
a) Principle of the Test: Total antioxidant activity was
estimated using Ferric Reducing Ability of Plasma (FRAP)
method by Benzie and Strain, 1996. At low pH, antioxidant
power causes the reduction of ferric tripyridyl triazine (Fe
III TPTZ) complex to ferrous form (which has an intense blue
colour) that can be monitored by measuring the change in
absorption at 593nm. FRAP values were obtained by comparing
the absorbance change at 593 nm in mixture (test), with those
containing ferrous ion in known concentration (Standard).
b) Procedure: A working reagent comprising acetate buffer
(pH 3.6), ferric chloride and tripyridyl triazine in the ratio
of 10:1:1 respectively was constituted. To 60 μl of sample or
standard in a clean test tube, 1.8 ml of working reagent was
added, thoroughly mixed, and incubated at 37 °C for 10 minutes.
The resulting blue colored solution that was developed was
read at 593 nm. The standard was also be treated the same way
except that 60 μl of distilled water was used instead of plasma.
The standard solution contains 1000 μmol/l of ferrous sulphate
(Table 1).
c) Calculation:
OD TEST
Total Antioxidant Capacity (μmol/l) = -------- X standard
concentration (1000).
OD STD
d) Statistical analysis
The data was analyzed using SPSS (Statistical Package for
Social Sciences) version 24. Paired t-Test was used to assess
the significance of difference of the mean values of different
parameters in the case and control groups. A correlation test
was done between BMI of the participants and the serum levels
of these oxidative stress markers.
e) Ethical approval
The study was approved by Nnamdi Azikiwe University
Teaching Hospital Ethics Committee (approval number: NAUTH/
CS/66/VOL.10/225/2017/139; approval date: 22nd January
2018).
Table 1: Distribution of socio-demographic parameters of test and control groups of the participants.
Key: BMI: Body Mass index; C/S: Civil Servants; SSCE: Senior Secondary Certificate Examination.
During the study period, from October 1, 2018, to March31, 2019, a total of three hundred and sixty (360) infertile women presented to the fertility clinic of the hospital; of which 63 PCOS patients were selected for the study, and 48 patients of tubal factor infertility as control. See Figure 1. The mean age of the case group was (28.84±5.76 years) while that of the control group was (31.66±5.26 years). Table 2: Paired T-test analysis comparing the mean serum levels of malondialdehyde and total antioxidant capacity of PCOS patients and controls. There was a significant difference in the mean levels of MDA and TAC between cases and control (P=0.001). Figure 2 shows the scatter diagram shows the correlation between the serum malondialdehyde (nmol/mL) (Y-axis) and body mass index (kg/m2) (X-axis). The result from the plot showed that there is very weak correlation between serum malondialdehyde and body mass index (r = 0.189, p >0.138). Figure 3 shows a scatter diagram revealing the correlation between the Serum Total Antioxidant Capacity (μmol/L) (Y-axis) and Body Mass Index (Kg/m2) (X-axis). The result from the plot showed a very weak correlation between the Serum Total Antioxidant Capacity (μmol/L) and Body Mass Index (r = 0.108, p > 0.399) (Table 3).
Table 2: T-test analysis comparing the mean serum levels of malondialdehyde and total antioxidant capacity of PCOS patients and controls.
MDA-malondialdehyde; TAC-total antioxidant capacity; Std-standard deviation.
Table 3: Correlation analysis between the body mass index of the participants and their serum levels of MDA and TAC.
**: Correlation is significant at the 0.01 level (2-tailed)
Figure 1:MDA= malondialdehyde; TAC= total antioxidant capacity; PCOS= polycystic ovary syndrome. *=One participant in study group did not had final assessment for MDA and TAC. Figure 1: Flow Chart of the participants*
Figure 2:Scatter diagram shows the correlation between the serum malondialdehyde (nmol/mL) (Y-axis) and body mass index (kg/m2) (X-axis).
Figure 3:Scatter diagram revealing the correlation between the Serum Total Antioxidant Capacity (μmol/L) (Y-axis) and Body Mass Index (Kg/m2) (X-axis).
The principal finding of the present study is that the mean serum levels of malondialdehyde in the PCOS infertility group and tubal factor infertility group was significantly different. Similarly, the mean level of total antioxidant capacity in PCOS infertility group versus tubal factor infertility also showed statistical significant difference. There was a weak positive correlation between serum malondialdehyde (nmol/mL) and body mass index) as well as serum total antioxidant capacity (μmol/L) and body mass index. This study shows that most of the women fall within the age bracket 26-30years with a mean of 28.84±5.76 years. This is akin to what was reported in previous Nigerian studies [4, 5,15]. Additionally, most the patients were nulliparous which is in line with an earlier Nigerian study by Igwegbe et al. [5] where 70% were nulliparous. It is not surprising because the study was amongst the infertility population. Thirty six out of the 63 participants in the test group were overweight while 6 out of the 63 participants were obese. This agrees with a study that showed that 73 of women were overweight [15]. Hence, improvement of lifestyle with dietary modification and exercise may invariably be helpful. In this study the total antioxidant capacity (TAC) status was significantly lower in the PCOS group (692.19±133.89μmol/L) than in the controls (932.94±201.25μmol/L). This finding is in line with that of Fankci et al. [16] but contrasted with the findings reported by Verit et al. [17] which indicated that TAC was higher in PCOS patients than in controls. This decrease in TAC may be explained by excessive production of oxidative stress markers, thereby overwhelming the antioxidant capacity of the body.
In this index study, the mean serum level of MDA was significantly increased in patients with PCOS compared to the control group (3.0+ 0.99 vs. 2.36+0.79 nmol/mL for test group and control group respectively; P-value 0.001). This is in keeping with the findings by Lai et al in a study that compared the MDA levels of patients with anovulatory (PCOS) infertility with that of tubal factor infertility among Chinese populations. This finding is also in line with a meta-analysis which revealed that the mean MDA levels per age and BMI were 47% increase in women with PCOS when compared with control [7]. Kuscu et al. [18] in their study which compared serum level of MDA between PCOS patients and healthy controls showed that MDA concentration was significantly higher in PCOS group. Similar findings were reported by several other studies by Sabuncu et al. [19], and Palacio et al. [20]. The authors suspected that the increased ROS expression level in the PCOS granulosa cells may have greatly induced cellular apoptosis [21] leading to a poor pregnancy outcome. On the other hand, Erdogan et al. [22] reported no significant difference in MDA and TAC level in patients with PCOS compared with the control group.
The plausible explanation of the no significant difference in the Erdogan et al report may be different gene polymorphism that varies from race to race. However, Turan et al [14] using similar Turkish population with PCOS and 30 healthy controls reported increase in MDA in patients with PCOS when compared with health controls. This study showed weak correlation between MDA and the BMI (MDA vs. BMI r=0.189; p-value 0.138) as well as TAC with the BMI (TAC vs. BMI=r=0.108; p-0.399). This contrasted with the findings of Priyank et al. [23] which showed positive correlation in TAC and MDA levels in obese patients with PCOS when compared with normal control. The following limitations could be deduced from the study. It is possible that the difference in the concentration of oxidative stress markers may be a consequence rather than a cause of the disease [24]. This ambiguity makes it difficult to draw firm inferences on causality. Again, TBA (thiobarbituric acid) assay for the analysis of MDA has some drawbacks mainly, being a nonspecific for MDA and not allowing distinction between free and bound components of MDA. Despite the above limitations, this study has several strengths. The findings of this study have highlighted the possible benefit of antioxidant therapy in the management of this common heterogeneous disorder that affects our women. Interventional study may be necessary to see if supplementation of antioxidants will be useful for this group of patients.
In conclusion, women with PCOS infertility have significantly higher serum levels of MDA and lower serum levels of TAC than women with tubal factor infertility. These findings support a possible role of oxidative stress markers in the etiology and/or pathogenesis of PCOS infertility. It also suggests a potential role of antioxidant supplementation in preventing the occurrence, halting the progression or in treating PCOS infertility. An interventional trial may be necessary to see if supplementation of antioxidants will be useful for this group of patients.
No potential conflict of interest relevant to this article was reported.
Conceptualization: ROE, GUE, JOU. Data curation: CCO. Formal analysis: ROE, GUE, OSU. Methodology: OSU, JII, EOU. Project administration: CCO. Visualization: ROE, GUE, JOU, EOU, CGO, CIE, AAO, CIO, MEN, NLO, CME, COE, BUO, SON, MCE, JEM, IJO. Writing– original draft: ROE, GUE. Writing–review & editing: all authors.
The authors would like to thank the staff of the Nnamdi Azikiwe University Teaching Hospital, Nnewi, Nigeria.
All the participants gave consent for publication.
The authors received no specific funds for this work..
The datasets used and/or analyzed during the current study are available from the corresponding author upon reasonable request.
Written informed consent was obtained from all individual participants included in the study.
Socio-demographic variables of respondents
A total number of 228 women of reproductive age attending
the gynecological clinic in the University College Hospital, Ibadan
participated in the study. The average age of respondents was
32.7, with a standard deviation of 6.47. The highest percentage
(58.1%) of the respondents was within 30-39 years, and 89.4% of
the respondents were married, and 92.5% were employed. Also,
93.4% had a post-secondary academic qualification, and 4.8% had
secondary school qualification. Others, as shown in (Table 1).
Respondents on knowledge and uptake of CCS
Most of the respondents (82.9%) ever heard of cervical cancer,
96.5% had no history of cervical cancer, 46.5% knew any CCS
procedure with 45.0% reporting Pap smear test. Also, 31.6% of
respondents reported that a person should start CCS when such
a person is sexually active, 29.0% said that one should start CCS
when that individual is 18 years and above.
Also, only 22.4% had ever gone for CCS, 8.6% reported
preventive measure as the reason they went for CCS. However,
10.4% reported that they had gone for CCS only once in their
lifetime with 10.0% reporting they went for CCS when they were
within the age bracket of 20-29 years. (Table 2) highlighted others.
Furthermore, regression analysis shows that the level of knowledge
had no significant influence (R2=0.10, F (1,227) =1.987, P >.05) on
the uptake of CCS.
Respondents’ responses to risk factors (perceived susceptibility)
Table 3 shows the risk factors that are associated with cervical cancer, 37.7% of the respondents reported sexually transmitted diseases, poor hygiene (25.9%), positive family history (31.6%), 30.7% had several sexual partners, early age of first sexual intercourse (18.9%), cigarette smoking (18.4%), contraceptives (17.5%) and HIV/AIDS (13.6%). Regression analysis shows that perceived susceptibility had significant influence (R2=0.92, F (1,227) =16.022, P <.001) on the uptake of CCS.
Respondents’ responses to perceived benefits
(Table 4) shows that (62.7%) of the respondents strongly agreed that it is essential to have CCS to now if one is healthy, 46.1% strongly agreed that CCS could find changes in the cervix before becoming cancerous, and 47.8% strongly agreed that changes found from CCS are easily curable. Regression analysis shows that perceived benefits had no significant influence (R2=0.007, F (1,227) =1.396, P >.05) on the uptake of CCS.
Table 4: Showing participants’ responses to perceived benefits.
SA-Strongly Agreed, A-Agreed, D-Disagree, SD-Strongly Disagreed, IDK- I do not know; F/% - Frequency and Percentage
Respondents’ responses to perceived barriers
About (32.9%) reported lack of information about CCS procedures, 14.9% reported not knowing where to go for CCS, tests are costly (11.4%), cervix is part of the sex organ and it is private (11.4%), lack of female screeners (10.1%), attitude of health workers (10.1%), and lack of convenient screening time (10.1%). (Table 5) highlighted others. The regression analysis shows that perceived barriers had no significant influence (R2=0.00, F (1,227) =0.34, P >.05) on the uptake of CCS.
Table 5: Showing participants’ responses to perceived barriers.
SA-Strongly Agreed, A-Agreed, D-Disagree, SD-Strongly Disagreed; F/% - Frequency and Percentage
Respondents’ responses to cues to action on CCS
Almost half (48.7%) reported take care of my health, (29.8%) after hearing something about CC, (20.2%) because a nurse or mid wife told me, (17.1%) listened to radio or read newspaper, (15.8%) because a doctor told me, and (14.0%) saw it on social media platforms. Table 6 reported others. The regression analysis shows that cues to action had no significant influence (R2=0.007, F (1,227) =1.358, P >.05) on the uptake of CCS.
Table 6: Showing participants’ responses to Cues to Action on CCS.
SA-Strongly Agreed, A-Agreed, D-Disagree, SD-Strongly Disagreed; F/% - Frequency and Percentage
The participants’ level of knowledge reported in this study is contrary to previous findings. [15] Despite having over nine out of ten participants with post-secondary educational qualification, one would expect a significant level of knowledge about cervical cancer among them. However, the findings of WHO in the year 2012 13 among six sub-Saharan nations also established a low level of awareness of cervical cancer, which led to low uptake of CCS uptake [7]. Also, the studies have substantiated this finding and emphasized that the level of CCS uptake among females in Nigeria is very discouraging [16, 17]. The fact that an individual attained a higher level of education does not necessarily culminate in having excellent knowledge about health issues, let alone taking appropriate preventive steps.
The perceived susceptibility reported by the participants has a significant effect on the uptake of CCS, which shows that the perception that one is at risk of cervical cancer could motivate such individual to undertake CCS. On the other hand, individuals might not undertake CCS if they perceive that they are not susceptible to cervical cancer. As a result, significant perceived susceptibility would positively influence the essence of taking preventive measures towards cervical cancer. The findings of previous studies supported this finding. [8, 18] Among perceived barriers on uptake of CCS reported by the participants of this study is the lack of female screeners, which makes it uncomfortable and painful for women to allow men to examine them. Previous studies established that women prefer female physician to perform CCS [19, 20]. Also, the lack of information plays a significant role in the low uptake of CCS. Since they know next to nothing about the availability of CCS, one would not expect them to go for screening. To corroborate this finding, Ndikom and Ofi [14] also found a lack of information as a perceived barrier among the participants. The studies conducted by other researchers established a lack of information as the main predicting barriers of uptake of CCS among African women [16, 21, 22].
Furthermore, perceived benefits reported by the participants had no significant effect on the uptake of CCS. Their perceived benefits did not culminate to practice, which shows that the participants have low perceived benefits of CCS. In other words, they place insignificant value on what they stand to gain from CCS. Other study also reported similar findings among Saudi Arabian women. [20]
The final finding shows that cues to action reported by the participants did not result in uptake of CCS. Though some participants strongly agreed that taking care of their health is a cue to action; 47.8% (n=109) agreed that hearing something about cervical cancer is a cue to action, and 17.1% (n=39) reported getting information from the media while 14.0% (n=32) reported social media as their source. Still, the cues to action reported did not translate into practice. This finding is contrary to the previous work, [23] where significant others and healthcare professionals influenced the uptake of CCS among the respondents.
Findings from the present study revealed a low level of knowledge about cervical cancer and the level of knowledge had no significant influence on the uptake of CCS. However, the participants’ perceived susceptibility significantly modified CCS uptake. Furthermore, perceived barriers had no significant effect on the uptake of CCS. Similarly, perceived benefits had no significant effect on the uptake of CCS.
The study recommends community-integrated cervical cancer screening program, which will be available, accessible and affordable for all women regardless of their socio-economic status. Such should be planned with the intention of creating more awareness and increase the present level of knowledge about cervical cancer and its consequences so that women would better comprehend how susceptible they are to the disease and as such take appropriate steps.
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