Determination of the Relationship Between Women’s Health Literacy Level and Their Awareness of Gynecologic Cancers and Participation in Screening

Determination of the Relationship Between Women’s Health Literacy Level and Their Awareness of Gynecologic Cancers and Participation in Screening | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Determination of the Relationship Between Women’s Health Literacy Level and Their Awareness of Gynecologic Cancers and Participation in Screening Muyesser Nazli YILMAZ, Busra Altinel This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5774506/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Purpose : The research was conducted to examine the health literacy levels of women and to determine the relationship between health literacy levels and gynecological cancer awareness and participation in screening. Methods : The population of the descriptive and cross-sectional research consisted of women who applied to a Family Health Center in the Western Black Sea region of Turkey for any reason between March and September 2023. The study was completed with 487 women reached by random sample selection method. Data were collected by face-to-face survey method using the Introductory Information Form, Turkey Health Literacy Scale and Gynecological Cancers Awareness Scale. Kruskal-Wallis and Mann-Whitney U test and Spearman correlation analysis were used to evaluate the data. Results : The average score of the women who participated in the study on the Turkey Health Literacy Scale was 33.60±9.28 and the average score on the Gynecological Cancers Awareness Scale was 157.36±25.78. It has been determined that factors such as women's education level, employment status, economic status, and pap-smear test status affect gynecological cancer awareness (p <0.05). It was found that there was a significant relationship between women's health literacy level and their level of awareness of gynecological cancers and their participation in screenings (p<0.05). Conclusions : It was determined that the women who participated in the study had a limited level of health literacy and an above-medium level of gynecological cancer awareness. As the level of health literacy increases, awareness of gynecological cancer also increases. It has also been determined that women's health literacy levels affect their having pap-smear and mammography. Awareness Gynecological Cancers Health Literacy Scans Introduction According to the International Agency for Research on Cancer, 19.3 million new cancer cases were seen in 2020, while it is estimated that 10 million people lost their lives to cancer. It is known that one in every four cases diagnosed in women and one in six cancer deaths are caused by breast cancer. Therefore, breast cancer ranks first among the most common cancer types [1]. Among the types of cancer seen in women, gynecological cancers are encountered as a serious women's health problem with their morbidity and mortality rates [2]. According to the World Health Organization 2021 report, the most common gynecological cancers in the world are cervix, uterus and ovarian cancer, respectively [3]. It is stated that the most common gynecological cancers in Turkey are endometrial, ovarian and cervix cancers [4]. Raising awareness about the symptoms of gynecological cancers increases both early diagnosis and survival results [5-7]. Turkey is one of the societies that host many differences (cultural, economic, social, etc.). When it comes to a disease such as cancer, where many factors coexist, complex arise due to these differences [8]. Cancer is considered a public health problem because it disrupts the social balance by bringing clinical and economic burden to the society. Therefore, it is considered necessary for countries to develop their current health strategies in terms of cancer screening, diagnosis, treatment and prevention [9]. Individuals who cannot control the factors that affect their health cannot reach their full health capacity. Therefore, each individual should take responsibility for their own health and should have the knowledge, equipment and skills to make the right choices based on the determining factors of their health. All this knowledge, equipment and skills are discussed within the concept of health literacy today [10]. In terms of public health, the person in focus is seen as women. Increasing women's health knowledge means developing the health behaviors of future generations. The health behaviors that women apply themselves affect the health of their family as a mother, and the health of their children who will develop their own health behaviors as individuals in the future, in the future and that directly influences the health of the society. Therefore, in terms of public health, educating women and improving their health literacy is seen as one of the most essential investments that can be made for the future [11]. According to the results of studies conducted with large sample groups in Turkey, the health literacy level of the majority was determined to be insufficient and limited [12, 13]. It was also determined that the health literacy levels of women were lower than men and the majority of women had problematic-limited health literacy [13-15]. At the same time, it was determined that the level of health literacy increased as the level of education and income increased; individuals with insufficient health literacy benefited less from preventive health services for diseases such as cancer, where early diagnosis is possible with screening programs, compared to individuals with sufficient health literacy levels [14]. Inadequate health literacy in societies increases health problems and care costs. In order to improve health literacy, which is of great importance in cancer awareness, responsibility falls on other sectors in society, especially those who provide and receive health services [16]. Individuals with sufficient and excellent health literacy levels can more easily access healthy and reliable information about cancer [17]. According to a study, it was determined that women's knowledge and practices about cervical and breast cancer screenings were inadequate [18]. It is concluded that women's health literacy levels affect their attitudes towards having a pap smear test, mammography and cancer prevention [15]. This study was conducted to determine the health literacy levels of women and to examine the relationship between their health literacy levels and their awareness of gynecological cancer and their participation in screening. Research Questions 1. What are women's health literacy, gynecological cancer awareness levels, and their participation in gynecological cancer screenings? 2. Is there a relationship between women's sociodemographic characteristics and gynecological cancer awareness levels? 3. Is there a relationship between women's health literacy levels and gynecological cancer awareness levels and their participation in screenings? Methods Type of Research The study was devised with a descriptive and cross-sectional research design. It was planned and reported in accordance with the checklist for descriptive studies set forth by Strengthening the Reporting of Observational Studies in Epidemiology (STROBE). Population and Sample of the Research The population of the research consisted of 4205 women who applied to a Family Health Center in the Western Black Sea region for any reason. Since gynecological cancer screening is performed on women between the ages of 30-65 among national cancer screenings in Turkey, this age range was determined as the inclusion criterion for the study. The sample size of the study was calculated with the G*Power 3.1.9.4 program. In line with the study conducted by Atlas and Er Güneri (2022), the effect size was calculated as 0.164 by taking into account the 'Gynecological Cancer Awareness Scale' mean score and standard deviation value [19]. According to this effect size result, the sample size of the study was determined as 482 at a minimum of 95% power and 95% confidence interval. The study was completed with 487 women using the random sample selection method, which is one of the improbable sample selection methods, in which those who applied to a certain institution were selected. Research Inclusion Criteria; Being between 30-65 years old and being literate Research Exclusion Criteria; Having a previous cancer diagnosis, having verbal communication problems Data Collection Information Form There are 7 questions in total, 5 of which are about sociodemographic characteristics (age, marital status, education status, employment status, economic status) and 2 questions about cancer screenings (having pap-smear test and mammography). Turkey Health Literacy Scale (TSOY-32) The Turkey Health Literacy Scale was re-evaluated after the European Health Literacy Scale was adapted to Turkish, and it was deemed appropriate to evaluate the conceptual framework by combining the dimensions of “preventing diseases” and “promoting health” in Turkey. For this purpose, a 32-item Likert scale was developed. Unlike the original scale, TSOY-32 was created by taking two basic dimensions instead of three. Accordingly, the matrix consists of eight components in total, two dimensions (Treatment and service and Health promotion) and four processes (Accessing health-related information, understanding health-related information, evaluation, application). Scores between 0 and 50 can be obtained from the scale; A score of 0-25 indicates inadequate health literacy, 25-33 points indicates limited health literacy, 34-42 points indicates adequate health literacy, and 43-50 points indicates excellent health literacy. Cronbach's alpha coefficient was calculated as 0.92 [20]. In this study, Cronbach's alpha coefficient was calculated as 0.95. Gynecological Cancer Awareness Scale (GCAS) This scale, developed by Dal and Ertem (2017) targeting women between the ages of 20-65 to assess women's awareness of gynecological cancers, contains 41 questions and four sub-dimensions. These four sub-dimensions are: ‘‘Gynecological Cancer Risk Awareness’’, ‘‘Early Diagnosis and Information Awareness in Gynecological Cancers’’, ‘‘Awareness of Prevention of Gynecological Cancers’’ and ‘‘Routine Control and Serious Disease Perception Awareness in Gynecological Cancers’’. In the gynecological cancer awareness scale, which is evaluated based on the total score, a minimum of 41 and a maximum of 205 points can be obtained. As the score women receive from the scale increases, their awareness of gynecological cancers also increases. Cronbach's alpha coefficient was calculated as 0.94 [21]. In this study, Cronbach alpha coefficient was calculated as 0.96. Data Collection Research data were collected by the researcher using a face-to-face survey method in the meeting room during weekday working hours between March and September 2023 on women registered with the Family Health Center who applied to the health center for any reason. Data Analysis The data obtained from the study were evaluated in the computer environment with the SPSS 22 (Statistical Package for the Social Sciences) package program. Number (n), percentage (%), mean (X̄) and standard deviation (SS) values were used in descriptive analyses. The Kolmogorov-Smirnov test was used to evaluate the data's compliance with normal distribution. Non-parametric tests were applied for data that did not show normal distribution. Mean, median, quartiles, chi-square analysis, Kruskal-Wallis and Mann-Whitney U tests were used. Since the data did not show normal distribution, Spearman correlation analysis was used to evaluate the relationships between variables. The results were evaluated at a 95% confidence interval and a significance level of p<0.05. Ethical Approval of the Research Prior to the research, Ethics Committee Permission dated 23.02.2023 and 2023/07 was obtained from Selcuk University Faculty of Nursing Non-Interventional Research Ethics Committee. Institutional permission dated 16.03.2023 and numbered E-26080346-799-211426845 was obtained from the Bartın Provincial Health Directorate. Informed written consent was obtained from the women who participated in the study. The ethical principles outlined in the Declaration of Helsinki were complied with at every stage of the study. For the use of the scale, the necessary permissions were obtained via e-mail from the authors who adapted the scales into Turkish. Results The average age of the women who participated in the study was 43.13±8.31 and 84.2% were married. 34.9% of the women were high school graduates, 51.3% were employed, and 65.5% perceived their economic situation as moderate (Table 1). The total mean score of the women who participated in the study was determined as 157.36±25.78 on the GCAS; the mean score of the gynecological cancer risks awareness sub-dimension was 28.83±6.35; the mean score of the early diagnosis and information awareness of gynecological cancers sub-dimension was 16.83±3.00; the mean score of the protection from gynecological cancers sub-dimension was 22.52±4.70 and the mean score of the routine control and serious disease perception awareness sub-dimension in gynecological cancers was 89.16±15.59. The total mean score of the TSOY-32 scale in women was found to be 33.60±9.28. When the health literacy level of the women who participated in the study was evaluated, it was seen that 13.1% had inadequate, 42.5% had problematic-limited, 22.4% had sufficient and 22.0% had excellent health literacy (Table 2). It was determined that the difference between the educational status of the women who participated in the study and the GCAS total score average was statistically significant (p<0.001). The total GCAS score average of women with university and above education differs significantly from those who are literate, primary school and high school graduates. It is seen that the GCAS total score average of working women is higher than that of non-working women and the difference is statistically significant (p <0.001). It was determined that the difference between the economic situation perception of the women who participated in the study and the GCAS total score average was statistically significant (p <0.001). The total GCAS score average of women who perceive their economic situation as bad differs significantly from those who perceive it as moderate and good. In addition, the GCAS total score average of those who perceive their economic situation as moderate differs significantly from those who perceive their economic situation as good. The difference between the educational status of the women who participated in the study and the mean score of the gynecological cancer risk awareness sub-dimension was determined to be statistically significant (p<0.001). The mean score of the gynecological cancer risk awareness sub-dimension of women with university and above education differs significantly from those who are literate, primary school, secondary school and high school graduates. It is observed that the mean score of the gynecological cancer risk awareness sub-dimension of the gynecological cancer awareness scale of working women is higher than that of unemployed women (p<0.001). It was determined that the difference between the perception of economic status of women and the mean score of the gynecological cancer risk awareness sub-dimension was statistically significant (p<0.001) and that the mean score of the gynecological cancer risk awareness sub-dimension of women who perceived their economic status as poor differed significantly from those who perceived their economic status as moderate and good. The difference between the educational status of the women who participated in the study and the mean score of the early diagnosis and information awareness sub-dimension of gynecological cancers was determined to be statistically significant (p<0.001). The mean score of women with university and above education in the sub-dimension of early diagnosis and awareness of information in gynecological cancers is significantly higher than those who are literate, primary school, secondary school and high school graduates. It is observed that the mean score of women who are employed in the sub-dimension of early diagnosis and awareness of information in gynecological cancers is higher than that of women who are not employed (p<0.001). The mean score of women who perceive their economic status as poor is significantly lower than those who perceive their economic status as moderate and good, and the mean score of women who perceive their economic status as moderate is significantly lower than those who perceive their economic status as good (p<0.001). It was determined that the difference between the marital status, employment status, pap-smear and mammography status of women and the mean score of awareness of protection from gynecological cancers is statistically significant (p<0.05). It was determined that the difference between the educational status of women and the mean score of awareness of protection from gynecological cancers is statistically significant (p<0.001). The mean score of women with university and above education in the sub-dimension of awareness of protection from gynecological cancers is significantly higher than those who are literate, primary school, secondary school and high school graduates. It was determined that the difference between the economic status perception of women and the mean score of awareness of protection from gynecological cancers is statistically significant (p<0.001). The mean score of women who perceive their economic status as poor is significantly lower than those who perceive it as moderate and good, and the mean score of women who perceive their economic status as moderate is significantly lower than those who perceive it as good in the sub-dimension of awareness of early diagnosis and information in gynecological cancers. It was determined that the difference between the mean score of women's employment status and pap-smear status and the mean score of awareness of routine control and serious disease perception in gynecological cancers is statistically significant (p<0.05). The mean score of women with university and above education in the sub-dimension of awareness of routine control and serious disease perception in gynecological cancers differs significantly from those who are literate, primary school, secondary school and high school graduates (p<0.001). It was determined that the difference between the women's economic situation perception and the mean score of awareness of routine control and serious disease perception in gynecological cancers is statistically significant and the difference is due to women who perceive their economic situation as good (p<0.001) (Table 4). In this study, it was determined that the difference between the health literacy level of women and the GCAS total score and the average score of all subscales was statistically significant (p <0.001) (Table 4). In this study, the rate of having pap-smear and mammography in women with problematic-limited health literacy was found to be statistically significantly higher than in women with inadequate, sufficient and excellent health literacy (p<0.05) (Table 5). Discussion The total mean score of the women who participated in this study was determined as 157.36±25.78. When the literature is examined; the total mean score of the GCAS in similar studies is as follows; 155.8±17.5, 160.31±22.42, 156.3±13.81, 158.34±16.84 [7,21-23]. It is possible to say that the women's gynecological cancer awareness is above the moderate level and the study is compatible with the literature. According to the study results, the total mean score of the women on the TSOY-32 scale was determined as 33.60±9.28. When the studies in the literature are examined, it is concluded that the mean scores in similar studies are; 26.47±8, 33.87±9.2, 36.123±7.733, 32.93±8.67 [17, 24-16]. The study results are similar to the literature. When the health literacy level of the women who participated in the study was evaluated, it was seen that 13.1% had inadequate, 42.5% had problematic-limited, 22.4% had sufficient and 22.0% had excellent health literacy. When the literature was examined, it was seen that the problematic-limited health literacy level was higher in similar studies [12-14, 20, 27]. According to a study conducted in Europe; it was concluded that 12.4% of the participants had inadequate, 35.2% had problematic-limited, 36.0% had sufficient and 16.5% had excellent health literacy [28]. When the studies conducted only on women were considered; There are also studies in the literature where 7.7% are inadequate, 24% problematic-limited, 45.4% sufficient, 22.9% have excellent health literacy levels and 14.8% are inadequate, 34.9% problematic-limited, 36.1% sufficient and 14.2% have excellent health literacy [25, 26]. When the study results are compared with the general literature, it is seen that the excellent health literacy level is higher and the inadequate health literacy level is lower. When the problematic-limited and sufficient health literacy levels are examined, the results are consistent with the general literature. It is predicted that the reasons for the differences with the literature are that this study was conducted only on women, TSOY-32 was used in measuring the health literacy level, and factors such as the location and time characteristics of the study. It was determined that 77.8% of the women who participated in the study had a pap smear and 60.8% had a mammogram. When the studies in the literature are examined; it is concluded that the rate of having pap smear and mammography is lower [7, 18, 29-33]. According to the studies, the screening status is found to be high, unlike the literature. In addition, in a study conducted similar to this study, 70.8% had pap smear, and when the women who participated in the study and had the test were evaluated among those between the ages of 30-65, the rate of having pap smear test was found to be 87.43% [22]. It is thought that the fact that the studies were conducted on women of different age groups, the cultural structures of the regions where the studies were conducted and the distances to cancer screening centers are effective in obtaining different results. It is predicted that the high rate of having pap smear and mammography in the women who participated in this study is due to the fact that it was conducted on women between the ages of 30-65 within the scope of national screening standards and that it is easy to reach screening centers in the region where the study was conducted. In this study, it was determined that the difference between the educational status of the women and the GCAS total score average and the score averages of all sub-dimensions is statistically significant. The total mean score of the gynecological cancer awareness scale and the total mean score of all sub-dimensions of women with university and above education are significantly higher. When the literature is examined, it is seen that the score obtained from the gynecological cancer awareness scale increases as the level of education increases [7, 19, 22, 23, 34]. This study is similar to the literature. In addition, there are studies that do not find a significant difference between education status and gynecological cancer awareness level [32, 35]. It is thought that the capacity of women with increased education to access and understand information also increases, thus their gynecological cancer awareness is also high. It is seen that the difference between the total score average of GCAS and the score average of all sub-dimensions of working women is higher than that of unemployed women and the difference is statistically significant. When we look at the literature, similar results are seen in the studies conducted [7, 19, 23, 35]. The study results are similar to the literature. It can be interpreted that this significant difference is due to the fact that working women are more independent and can communicate more easily considering that they are also involved in the work environment outside of the home and can more easily seek health. It was determined that the difference between the economic status perception of the women who participated in the study and the total score average of GCAS and the score average of all sub-dimensions is statistically significant. It was concluded that as the economic status perception of women goes from bad to better, the gynecological cancer awareness scale scores increase. When we look at the studies in the literature, it is seen that the gynecological cancer awareness level of women with higher incomes is higher [7, 23, 32, 34]. It is thought that this situation is due to the fact that women with higher incomes have easier access to health services. It was determined that the difference between the total score of the GCAS and the mean score of all sub-dimensions of the women who participated in the study, the status of having a pap smear, and the mean score of all sub-dimensions was statistically significant. Studies support this finding [22, 23, 34, 36]. It was determined that the difference between the marital status of the women who participated in the study, the status of having a mammography, and the mean score of the sub-dimension of awareness of protection from gynecological cancers was statistically significant. Women who were married and had a mammogram had a high level of awareness of protection from gynecological cancers. Other studies found that the GCAS gynecological cancer risk awareness sub-dimension was higher in single women [22, 23]. It was determined that the rate of having a pap smear and mammography in married women who participated in the study was significantly higher than in single women. When the literature was reviewed, results supporting this study regarding marital status were found [18, 37-38]. In another study, no difference was found according to the marital status of women [39]. It is thought that the reason for this is that almost all of the women who participated in the study were married. It is thought that married women are more likely to participate in screenings due to reasons such as having a more active sexual life and being exposed to birth and pregnancy processes more than single women. There are also different studies showing that the status of participation in screening does not change according to marital status [40-42]. The status of having mammography was found to be significantly higher in the women who were high school graduates who participated in the study. There are studies in the literature that the status of having pap-smear tests increases as the level of education increases [18, 37]. There are studies that do not find a significant difference between the status of having mammography according to the level of education of women [41, 42]. It was found that the rate of having pap-smear and mammography was higher in the women who participated in the study who did not work. In a different study, the rate of having pap-smear was found to be higher in working women, but no significant difference was found [37]. In this study, it was observed that the rate of participation in screening was lower in working women compared to unemployed women, even though their awareness levels were higher. It is thought that the reason for this is that working women cannot follow the screening participation processes and do not have enough time. The difference between the health literacy level of the women who participated in the study and the total mean score of the gynecological cancer awareness scale was found to be statistically significant, and as the health literacy level increased, the total score of the gynecological cancer awareness scale also increased. Studies conducted are parallel to this study [43, 44]. It can be interpreted that health literacy has an effect on increasing women's gynecological cancer awareness and knowledge levels. In this study, the rate of women with problematic-limited health literacy having pap smear and mammography was found to be statistically significantly higher than women with inadequate, sufficient and excellent health literacy. When similar studies are examined, there are studies that do not find a relationship between having pap smear test and health literacy levels [45, 46]. In addition, there are also study results that found a significant relationship between having pap smear and health literacy levels [47-49]. The difference in the studies is thought to be due to the sociodemographic characteristics of the women who participated in the studies. Conclusion It was determined that the women who participated in the study had limited health literacy and above average level of gynecological cancer awareness. It was determined that there was a relationship between women's education level, employment status, economic status and gynecological cancer awareness. As women's education level, employment status and economic status perception increased, their gynecological cancer awareness also increased. It was determined that the majority of women had a pap smear test and more than half of them had a mammogram. As gynecological cancer awareness increased, the rates of having a pap smear and mammogram also increased. It was determined that women's health literacy levels affected their pap smear and mammogram status. As health literacy levels increased, gynecological cancer awareness also increased. Declarations Conflict of Interest The authors have no relevant financial or non-financial interests to disclose. Ethical Approval of the Research Prior to the research, Ethics Committee Permission dated 23.02.2023 and 2023/07 was obtained from Selcuk University Faculty of Nursing Non-Interventional Research Ethics Committee. Institutional permission dated 16.03.2023 and numbered E-26080346-799-211426845 was obtained from the Bartın Provincial Health Directorate. Informed written consent was obtained from the women who participated in the study. The ethical principles outlined in the Declaration of Helsinki were complied with at every stage of the study. For the use of the scale, the necessary permissions were obtained via e-mail from the authors who adapted the scales into Turkish. Informed consent Written informed consent was also obtained from individual participants included in the study. Consent to participate Written informed consent was obtained from all individual participants included in the study. Funding No financial support was received for this study. References Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, Bray F, 2020. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. 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Kadinlarin saglik okuryazarligi düzeyinin saglik davranislarina ve çocuk sagligina etkisi. Baskent Üniversitesi Saglik Bilimleri Fakültesi Dergisi, 6, 2:132-148. Durusu Tanriöver M, Yildirim HH, Demiray Ready FN, Çakir B, Akalin HE, 2014. Türkiye saglik okuryazarligi arastirmasi. Ankara, Altan Özyurt Matbaacilik, 1-96. Mut H, 2017. Aile hekimligi poliklinigine basvuran hastalarda saglik okuryazarligi düzeyi ve iliskili faktörlerin degerlendirilmesi. Medical Specialization Thesis, T.C. Saglik Bilimleri Üniversitesi, Izmir. Saglik Bakanligi, 2018. Türkiye saglik okuryazarligi düzeyi ve iliskili faktörleri arastirmasi. Sagligin Gelistirilmesi Genel Müdürlügü, Yayin no:1103, Ankara, 1-108. Daglar ÖS, Oskay Ü, 2022. Saglik okuryazarliginin kadin sagligi üzerine etkileri: bir sistematik derleme. Izmir Katip Çelebi Üniversitesi Saglik Bilimleri Fakültesi Dergisi, 7, 3:585-595. Gültop F, Özkan S, 2021. Kanser Farkindaliginda Saglik Okuryazarliginin Önemi. Turk Hij Den Biyol Derg, 79, 3:579-586. https://dx.doi.org/10.5505/TurkHijyen.2022.02779 Deger MS, Zoroglu G, 2021. Birinci basamak saglik kurulusuna basvuranlarda saglik okuryazarligi ile kanser bilgi yükü iliskisi. Anadolu Klin, 26,1:108-117. Büyükkayaci Duman N, Yüksel Koçak D, Albayrak SA, Topuz S, Yilmazel G, 2015. Kirk yas üstü kadinlarin meme ve serviks kanseri taramalarina yönelik bilgi ve uygulamalari. GOP Taksim EAH JAREN, 1,1:30-38. https://dx.doi.org/10.5222/jaren.2015.030 Atlas B, Er Güneri S, 2022. Kadinlarin jinekolojik kanserlerle ilgili farkindaligi ve farkindaligi etkileyen faktörler. Izmir Katip Çelebi Üniversitesi Saglik Bilimleri Fakültesi Dergisi, 7, 1:77-85. Okyay P, Abacigil F, Harlak H, 2016. Türkiye saglik okuryazarligi ölçegi-32. In: Türkiye Saglik Okuryazarligi Ölçekleri Güvenilirlik ve Geçerlilik Çalismasi. Ed: Okyay P, Abacigil F, Ankara, T.C. Saglik Bakanligi Yayin No: 1025 43-62. Dal NA, Ertem G, 2017. Jinekolojik kanserler farkindalik ölçegi gelistirme çalismasi. Insan ve Toplum Bilimleri Arastirmalari Dergisi, 6, 5:2351-2367. https://doi.org/10.15869/itobiad.314332 Atlas B (2020) Çigli bölge egitim hastanesine basvuran kadinlarin jinekolojik kanserlerle ilgili farkindaligi. Dissertation, University of Ege Öz S (2021) 20 Yas ve üzeri kadinlarin jinekolojik kanserlere iliskin bilgi ve farkindaliklari ile etkileyen faktörlerin incelenmesi. Dissertation, University of Istinye Pancar N (2020) Pinarhisar’da 50 yas ve üzeri yetiskinlerde saglik okuryazarliginin kolorektal kanser tarama davranislariyla iliskisi. Dissertation, University of Kirklareli Yilmaz E (2022) Kadin hastalarin saglik okuryazarligi düzeyinin belirlenmesi. Dissertation, University of Istanbul Arel Inan A (2023) Altindag ilçesi kadin egitim ve kültür merkezlerine üye kadinlarda saglik okuryazarligi düzeyleri ile yeme farkindaligi arasindaki iliskinin degerlendirilmesi. Dissertation, University of Saglik Bilimleri Güven A, 2016. Saglik okuryazarligini etkileyen faktörler ve saglik okuryazarligi ile hasta güvenligi iliskisi, Dissertation, University of Hacettepe Sorensen K, 2013. Health Literacy: The Neglected European Public Health Disparity. 1-262. https://doi.org/10.26481/dis.20131106ks World Health Organization, 2017. Türkiye hanehalki saglik arastirmasi: bulasici olmayan hastaliklarin risk faktörleri prevalansi. Ed: Üner S, Balcilar M, Ergüder T. World Health Organization Turkey Office, Ankara, 2018. Ugur HG, Derya YA, Yavuz AY, Silbir MF, Öner A, 2019. Aile sagligi merkezlerine basvuran 30-70 yas grubu kadinlarin ulusal kanser taramalarina yönelik bilgi tutum ve davranislari: Karadeniz Bölgesi’nde bir il örnegi. Sürekli Tip Egitimi Dergisi, 28, 5:340-348. https://doi.org/10.17942/sted.529150 Pehlivanoglu EFÖ, Sari HB, Balcioglu H, Ünlüoglu I, 2019. Aile hekimligi poliklinigine basvuran kadin hastalarin Human Papilloma Virüs asilamasi ve serviks kanseri hakkinda bilgi, tutum ve davranislarinin degerlendirilmesi. Ortadogu Tip Derg, 11, 4:456-460. https://doi.org/10.21601/ortadogutipdergisi.529515 Gözüyesil E, Ariöz Düzgün A, Tas F, 2020. Bir aile sagligi merkezine basvuran kadinlarin jinekolojik kanser farkindaliklarinin degerlendirilmesi. TJFMPC, 14, 2:177-185. https://doi.org/10.21763/tjfmpc.730022 Uysal N, Toprak FÜ, 2022. Kadinlarin saglik algilari, kanser taramalarina yönelik tutumlari ve etkileyen faktörlerin belirlenmesi. Adnan Menderes Üniversitesi Saglik Bilimleri Fakültesi Dergisi, 6, 1:65-76. https://doi.org/10.46237/amusbfd.926839 Çelebi N (2021) Kadinlarin jinekolojik kanserlere yönelik farkindaliklari ve erken tani yöntemlerine yönelik davranislarinin degerlendirilmesi. Dissertation, University of Atatürk Kaya Senol D, Polat F, Dogan M, 2021. Gynecological cancer awareness: reproductive age and postmenopausal women. TJFMPC, 15, 1:56-62. https://doi.org/10.21763/tjfmpc.805231 Öztas HG, Toker E, Kamalak H, 2023. Kadinlarin saglik algilarinin jinekolojik kanser farkindaliklarina etkisi kesitsel bir çalisma. TJFMPC, 17, 2:210-219. https://doi.org/10.21763/tjfmpc.1206594 Inan E (2018) Diyarbakir ili Kayapinar ilçesi 9 nolu aile saglik merkezi bölgesinde 30-69 yas arasi kadinlarin meme ve serviks kanseri konusunda bilgi, tutum ve davranislarinin degerlendirilmesi. Dissertation, University of Dicle Arslan H (2020) Aile hekimligi poliklinigine herhangi bir sebeple basvuran 18-65 yas arasi kadinlarin serviks kanseri taramasi ve hpv asisi hakkindaki bilgi düzeyi ve davranislarinin degerlendirilmesi. Dissertation, University of Saglik Bilimleri Kiliçsokan P, Ilhan N, 2020. Bir aile sagligi merkezine basvuran kadinlarin pap smear testi yaptirma durumlari ile serviks kanserine ve pap smear testine yönelik saglik inançlari. Jinekoloji- Obstetrik ve Neonatoloji Tip Dergisi, 17, 2:323-327. https://doi.org/10.38136/jgon.667534 Kissal A, Beser A, 2017. Results of breast and cervical cancer health promotion model for older Turkish women. Journal of Human Sciences, 14, 3:2374-2385. Coskun SP (2019) Yoksul kadinlarda meme kanseri korkusu ve kadercilik algisinin erken tani davranislarina etkisi. Dissertation, University of Dokuz Eylül Alçinar G (2023) Kadinlarin mamografi taramasina katilimi, meme kanseri risk düzeyleri ve ölüm kaygisiyla iliskisi. Dissertation, University of Ondokuz Mayis Torun A (2019) Lise kiz ögrencilerinin saglik algilarinin jinekolojik kanserlerden korunma konusundaki bilgi düzeyleri ile iliskisi. Dissertation, University of Sivas Cumhuriyet Köse Tuncer S, Karakurt P, 2023. Jinekolojik kanserlerin farkindaliginda saglik okuryazarligi. Lokman Hekim Dergisi, 13, 1:196-206. https://doi.org/10.31020/mutftd.1175176 Yilmaz M (2016) Evli kadinlarin (18-65 yas arasi) servikal kansere iliskin bilgi düzeyi ile öz-etkililik ve saglik okuryazarligi düzeyleri arasindaki iliskinin incelenmesi. Dissertation, University of Izmir Alagöz Ekti Z (2020) Aile sagligi merkezine kayitli kisilerin saglik okuryazarligi düzeyinin genel saglik taramalari ve saglik algisi üzerine etkisinin degerlendirilmesi. Dissertation, University of Afyonkarahisar Yilmazel G, 2019. Low health literacy, poor knowledge, and practice among Turkish women patients undergoing cervical cancer screening. Journal of Cancer Research and Therapeutics, 15, 6:1276-1281. https://doi.org/10.4103/jcrt.jcrt_1142_16 Baharum NN, Ariffin F, Isa MR, Tin ST, 2020. Health literacy, knowledge on cervical cancer and pap smear and its influence on pre-marital malay muslim women attitude towards pap smear. Asian Pac J Cancer Prev, 21, 7:2021-2028. https://doi.org/10.31557/apjcp.2020.21.7.2021 Kiracilar Çolban E (2021) Saglik okuryazarliginin meme ve serviks erken tani davranislarina etkisi. Dissertation, University of Hitit Tables Table 1 Distribution of Sociodemographic Characteristics of Women (n=487) Variables ± SS Min-Max Age 43,13±8,31 30-65 n % Marital Status Married 410 84,2 Single/Divorced 77 15,8 Educational Status Literate 9 1,8 Primary School 105 21,6 Secondary School 76 15,6 High School 170 34,9 University and above 127 26,1 Employment Status Employed 250 51,3 Not Employed 237 48,7 Economic Status Good 112 23,0 Average 319 65,5 Poor 56 11,5 Table 2. Distribution of Women's Gynecological Cancer Awareness Scale and Health Literacy Scale Score Averages (n=487) Scales and Sub-dimensions ± SS Min-Max GCAS Total 157,36±25,78 46-205 Gynecological Cancer Risk Awareness 28,83±6,35 11-45 Early Diagnosis and Information Awareness in Gynecological Cancers 16,83±3,00 4-20 Gynecological Cancer Prevention Awareness 22,52±4,70 6-30 Routine Control and Serious Disease Perception Awareness in Gynecological Cancers 89,16±15,59 22-110 TSOY-32 Scale 33,60±9,28 0-50 Health Literacy Level n % Inadequate 64 13,1 Problematic-Limited 207 42,5 Sufficient 109 22,4 Excellent 107 22,0 Table 4. Distribution of gynecological cancer awareness levels of women according to their health literacy levels (n=487) Variables GCAS Gynecological Cancer Risk Awareness Early Diagnosis and Information Awareness in Gynecological Cancers Gynecological Cancer Prevention Awareness Routine Control and Serious Disease Perception Awareness in Gynecological Cancers Health Literacy Level ± SS Median (Q1-Q3) ± SS Median (Q1-Q3) ± SS Median (Q1-Q3) ± SS Median (Q1-Q3) ± SS Median (Q1-Q3) Inadequate 141,29±13,64 142(135-150) 25,37±4,55 27(22,5-27,75) 15,12±2,13 16(14-16) 19,51±3,15 20(18-21,75) 81,28±9,98 82(75,5-87) Problematic-Limited 151,48±18,60 152(143-160) 27,37±4,62 27(24-30) 16,40±2,46 16(16-18) 21,70±3,96 22(19-24) 86,00±12,18 86(81-89) Adequate Health 157,82±26,88 159(146,5-175,5) 28,88±6,09 29(25-32) 16,99±3,54 18(16-20) 22,80±4,58 24(19,5-26) 89.13±17,00 88(83-104) Excellent 177,87±29,66 186(167-198) 33,69±7,63 34(29-40) 18,53±3,01 20(18-20) 25,62±5,20 27(23-30) 100,02±17,20 107(95-110) Test value p KW=134,917 p<0,001 KW=80,338 p<0,001 KW=109,979 p<0,001 KW=95,100 p<0,001 KW=120,013 p<0,001 KW; Kruskal Wallis-H Test Table 5. Current status of women's Pap-Smear and Mammography according to their health literacy level (n=487) Variables Pap-Smear Status Mammography Status Yes No χ 2 ; p Yes No Health Literacy Level n % n % n % n % χ 2 ; p Inadequate 44 68,8 20 31,2 12,727 p=0,005 40 62,5 24 37,5 14,518 p=0,002 Problematic-Limited 172 83,1 35 16,9 143 69,1 64 30,9 Adequate Health 75 68,8 34 31,2 52 47,7 57 52,3 Excellent 88 82,2 19 17,8 61 57,0 46 43,0 χ 2; Ki kare test; *p<0,05, **p<0,001 Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-5774506","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":521074645,"identity":"5044702f-2c13-4ffe-b53a-4d68de0da5a6","order_by":0,"name":"Muyesser Nazli YILMAZ","email":"","orcid":"","institution":"Selcuk University","correspondingAuthor":false,"prefix":"","firstName":"Muyesser","middleName":"Nazli","lastName":"YILMAZ","suffix":""},{"id":521074646,"identity":"fd8ad437-20c9-4ede-a9a4-c1f6cf8e1058","order_by":1,"name":"Busra Altinel","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA70lEQVRIiWNgGAWjYBACAwhlwcDGwMB44AOQycZOnBYJCaAWhoMzQFqYidUCIg/zgEhCWswl0p99+FEjUccn3XzgsM2vbfJ8zAyMHz7m4NZiOSPHeGbPMaDDZI4lHM7tu23YxszALDlzGx6H3chhZuBhA2qRyDE4nNtzmxGohY2ZF6+W9MeMf/6BtOR/OGzZc9ueCC0Jxsy8bWBbGA4z/LidSFCLZc8bY2bZPgnJNok0g4O9DbeT25gZm/H6xZwd6LA332z45WckP3zw489t2/ntzQc/fMSjBRUwtoHJBmLVg8AfUhSPglEwCkbBSAEAw4xLibZY6ysAAAAASUVORK5CYII=","orcid":"","institution":"Selcuk University","correspondingAuthor":true,"prefix":"","firstName":"Busra","middleName":"","lastName":"Altinel","suffix":""}],"badges":[],"createdAt":"2025-01-06 14:08:24","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-5774506/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-5774506/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":92375776,"identity":"15001180-36f4-40e9-8c2e-88dbdbd22ff9","added_by":"auto","created_at":"2025-09-29 04:38:50","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1289440,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-5774506/v1/4fc9aff3-beca-4848-a08b-c07d205c1609.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Determination of the Relationship Between Women’s Health Literacy Level and Their Awareness of Gynecologic Cancers and Participation in Screening","fulltext":[{"header":"Introduction","content":"\u003cp\u003eAccording to the International Agency for Research on Cancer, 19.3 million new cancer cases were seen in 2020, while it is estimated that 10 million people lost their lives to cancer. It is known that one in every four cases diagnosed in women and one in six cancer deaths are caused by breast cancer. Therefore, breast cancer ranks first among the most common cancer types [1]. Among the types of cancer seen in women, gynecological cancers are encountered as a serious women\u0026apos;s health problem with their morbidity and mortality rates [2]. According to the World Health Organization 2021 report, the most common gynecological cancers in the world are cervix, uterus and ovarian cancer, respectively [3]. It is stated that the most common gynecological cancers in Turkey are endometrial, ovarian and cervix cancers [4]. Raising awareness about the symptoms of gynecological cancers increases both early diagnosis and survival results [5-7].\u003c/p\u003e\n\u003cp\u003eTurkey is one of the societies that host many differences (cultural, economic, social, etc.). When it comes to a disease such as cancer, where many factors coexist, complex arise due to these differences [8]. Cancer is considered a public health problem because it disrupts the social balance by bringing clinical and economic burden to the society. Therefore, it is considered necessary for countries to develop their current health strategies in terms of cancer screening, diagnosis, treatment and prevention [9]. Individuals who cannot control the factors that affect their health cannot reach their full health capacity. Therefore, each individual should take responsibility for their own health and should have the knowledge, equipment and skills to make the right choices based on the determining factors of their health. All this knowledge, equipment and skills are discussed within the concept of health literacy today [10]. In terms of public health, the person in focus is seen as women. Increasing women\u0026apos;s health knowledge means developing the health behaviors of future generations. The health behaviors that women apply themselves affect the health of their family as a mother, and the health of their children who will develop their own health behaviors as individuals in the future, in the future and that directly influences the health of the society. Therefore, in terms of public health, educating women and improving their health literacy is seen as one of the most essential investments that can be made for the future [11].\u003c/p\u003e\n\u003cp\u003eAccording to the results of studies conducted with large sample groups in Turkey, the health literacy level of the majority was determined to be insufficient and limited [12, 13]. It was also determined that the health literacy levels of women were lower than men and the majority of women had problematic-limited health literacy [13-15]. At the same time, it was determined that the level of health literacy increased as the level of education and income increased; individuals with insufficient health literacy benefited less from preventive health services for diseases such as cancer, where early diagnosis is possible with screening programs, compared to individuals with sufficient health literacy levels [14].\u003c/p\u003e\n\u003cp id=\"_Toc168476431\"\u003eInadequate health literacy in societies increases health problems and care costs. In order to improve health literacy, which is of great importance in cancer awareness, responsibility falls on other sectors in society, especially those who provide and receive health services [16]. Individuals with sufficient and excellent health literacy levels can more easily access healthy and reliable information about cancer [17]. According to a study, it was determined that women\u0026apos;s knowledge and practices about cervical and breast cancer screenings were inadequate [18]. It is concluded that women\u0026apos;s health literacy levels affect their attitudes towards having a pap smear test, mammography and cancer prevention [15]. This study was conducted to determine the health literacy levels of women and to examine the relationship between their health literacy levels and their awareness of gynecological cancer and their participation in screening.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eResearch Questions\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e1. What are women\u0026apos;s health literacy, gynecological cancer awareness levels, and their participation in gynecological cancer screenings?\u003c/p\u003e\n\u003cp\u003e2. Is there a relationship between women\u0026apos;s sociodemographic characteristics and gynecological cancer awareness levels?\u003c/p\u003e\n\u003cp\u003e3. Is there a relationship between women\u0026apos;s health literacy levels and gynecological cancer awareness levels and their participation in screenings?\u003c/p\u003e"},{"header":"Methods","content":"\u003cp\u003e\u003cstrong\u003eType of Research\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe study was devised with a descriptive and cross-sectional research design.\u0026nbsp;It was planned and reported in accordance with the checklist for descriptive studies set forth by Strengthening the Reporting of Observational Studies in Epidemiology (STROBE).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003ePopulation and Sample of the Research\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe population of the research consisted of 4205 women who applied to a Family Health Center in the Western Black Sea region for any reason. Since gynecological cancer screening is performed on women between the ages of 30-65 among national cancer screenings in Turkey, this age range was determined as the inclusion criterion for the study. The sample size of the study was calculated with the G*Power 3.1.9.4 program. In line with the study conducted by Atlas and Er G\u0026uuml;neri (2022), the effect size was calculated as 0.164 by taking into account the \u0026apos;Gynecological Cancer Awareness Scale\u0026apos; mean score and standard deviation value [19]. According to this effect size result, the sample size of the study was determined as 482 at a minimum of 95% power and 95% confidence interval. The study was completed with 487 women using the random sample selection method, which is one of the improbable sample selection methods, in which those who applied to a certain institution were selected.\u003c/p\u003e\n\u003ch2 id=\"_Toc168476444\"\u003eResearch Inclusion Criteria; Being between 30-65 years old and being literate\u003c/h2\u003e\n\u003ch2\u003eResearch Exclusion Criteria; Having a previous cancer diagnosis, having verbal communication problems\u003c/h2\u003e\n\u003cp\u003e\u003cstrong\u003eData Collection\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eInformation Form\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThere are 7 questions in total, 5 of which are about sociodemographic characteristics (age, marital status, education status, employment status, economic status) and 2 questions about cancer screenings (having pap-smear test and mammography).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTurkey Health Literacy Scale (TSOY-32)\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe Turkey Health Literacy Scale was re-evaluated after the European Health Literacy Scale was adapted to Turkish, and it was deemed appropriate to evaluate the conceptual framework by combining the dimensions of \u0026ldquo;preventing diseases\u0026rdquo; and \u0026ldquo;promoting health\u0026rdquo; in Turkey. For this purpose, a 32-item Likert scale was developed. Unlike the original scale, TSOY-32 was created by taking two basic dimensions instead of three. Accordingly, the matrix consists of eight components in total, two dimensions (Treatment and service and Health promotion) and four processes (Accessing health-related information, understanding health-related information, evaluation, application). Scores between 0 and 50 can be obtained from the scale; A score of 0-25 indicates inadequate health literacy, 25-33 points indicates limited health literacy, 34-42 points indicates adequate health literacy, and 43-50 points indicates excellent health literacy. Cronbach\u0026apos;s alpha coefficient was calculated as 0.92 [20]. In this study, Cronbach\u0026apos;s alpha coefficient was calculated as 0.95.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eGynecological Cancer Awareness Scale\u003c/strong\u003e \u003cstrong\u003e(GCAS)\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis scale, developed by Dal and Ertem (2017) targeting women between the ages of 20-65 to assess women\u0026apos;s awareness of gynecological cancers, contains 41 questions and four sub-dimensions. These four sub-dimensions are: \u0026lsquo;\u0026lsquo;Gynecological Cancer Risk Awareness\u0026rsquo;\u0026rsquo;, \u0026lsquo;\u0026lsquo;Early Diagnosis and Information Awareness in Gynecological Cancers\u0026rsquo;\u0026rsquo;, \u0026lsquo;\u0026lsquo;Awareness of Prevention of Gynecological Cancers\u0026rsquo;\u0026rsquo; and \u0026lsquo;\u0026lsquo;Routine Control and Serious Disease Perception Awareness in Gynecological Cancers\u0026rsquo;\u0026rsquo;. In the gynecological cancer awareness scale, which is evaluated based on the total score, a minimum of 41 and a maximum of 205 points can be obtained. As the score women receive from the scale increases, their awareness of gynecological cancers also increases. Cronbach\u0026apos;s alpha coefficient was calculated as 0.94 [21]. In this study, Cronbach alpha coefficient was calculated as 0.96.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eData Collection\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eResearch data were collected by the researcher using a face-to-face survey method in the meeting room during weekday working hours between March and September 2023 on women registered with the Family Health Center who applied to the health center for any reason.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eData Analysis\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe data obtained from the study were evaluated in the computer environment with the SPSS 22 (Statistical Package for the Social Sciences) package program. Number (n), percentage (%), mean (X̄) and standard deviation (SS) values were used in descriptive analyses. The Kolmogorov-Smirnov test was used to evaluate the data\u0026apos;s compliance with normal distribution. Non-parametric tests were applied for data that did not show normal distribution. Mean, median, quartiles, chi-square analysis, Kruskal-Wallis and Mann-Whitney U tests were used. Since the data did not show normal distribution, Spearman correlation analysis was used to evaluate the relationships between variables. The results were evaluated at a 95% confidence interval and a significance level of p\u0026lt;0.05.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEthical Approval of the Research\u0026nbsp;\u003c/strong\u003ePrior to the research, Ethics Committee Permission dated 23.02.2023 and 2023/07 was obtained from Selcuk University Faculty of Nursing Non-Interventional Research Ethics Committee. Institutional permission dated 16.03.2023 and numbered E-26080346-799-211426845 was obtained from the Bartın Provincial Health Directorate. Informed written consent was obtained from the women who participated in the study. The ethical principles outlined in the Declaration of Helsinki were complied with at every stage of the study. For the use of the scale, the necessary permissions were obtained via e-mail from the authors who adapted the scales into Turkish.\u003c/p\u003e"},{"header":"Results","content":"\u003cp\u003eThe average age of the women who participated in the study was 43.13\u0026plusmn;8.31 and 84.2% were married. 34.9% of the women were high school graduates, 51.3% were employed, and 65.5% perceived their economic situation as moderate (Table 1).\u003c/p\u003e\n\u003cp\u003eThe total mean score of the women who participated in the study was determined as 157.36\u0026plusmn;25.78 on the GCAS; the mean score of the gynecological cancer risks awareness sub-dimension was 28.83\u0026plusmn;6.35; the mean score of the early diagnosis and information awareness of gynecological cancers sub-dimension was 16.83\u0026plusmn;3.00; the mean score of the protection from gynecological cancers sub-dimension was 22.52\u0026plusmn;4.70 and the mean score of the routine control and serious disease perception awareness sub-dimension in gynecological cancers was 89.16\u0026plusmn;15.59. The total mean score of the TSOY-32 scale in women was found to be 33.60\u0026plusmn;9.28. When the health literacy level of the women who participated in the study was evaluated, it was seen that 13.1% had inadequate, 42.5% had problematic-limited, 22.4% had sufficient and 22.0% had excellent health literacy (Table 2).\u003c/p\u003e\n\u003cp\u003eIt was determined that the difference between the educational status of the women who participated in the study and the GCAS total score average was statistically significant (p\u0026lt;0.001). The total GCAS score average of women with university and above education differs significantly from those who are literate, primary school and high school graduates. It is seen that the GCAS total score average of working women is higher than that of non-working women and the difference is statistically significant (p \u0026lt;0.001). It was determined that the difference between the economic situation perception of the women who participated in the study and the GCAS total score average was statistically significant (p \u0026lt;0.001). The total GCAS score average of women who perceive their economic situation as bad differs significantly from those who perceive it as moderate and good. In addition, the GCAS total score average of those who perceive their economic situation as moderate differs significantly from those who perceive their economic situation as good.\u003c/p\u003e\n\u003cp\u003eThe difference between the educational status of the women who participated in the study and the mean score of the gynecological cancer risk awareness sub-dimension was determined to be statistically significant (p\u0026lt;0.001). The mean score of the gynecological cancer risk awareness sub-dimension of women with university and above education differs significantly from those who are literate, primary school, secondary school and high school graduates. It is observed that the mean score of the gynecological cancer risk awareness sub-dimension of the gynecological cancer awareness scale of working women is higher than that of unemployed women (p\u0026lt;0.001). It was determined that the difference between the perception of economic status of women and the mean score of the gynecological cancer risk awareness sub-dimension was statistically significant (p\u0026lt;0.001) and that the mean score of the gynecological cancer risk awareness sub-dimension of women who perceived their economic status as poor differed significantly from those who perceived their economic status as moderate and good.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThe difference between the educational status of the women who participated in the study and the mean score of the early diagnosis and information awareness sub-dimension of gynecological cancers was determined to be statistically significant (p\u0026lt;0.001). The mean score of women with university and above education in the sub-dimension of early diagnosis and awareness of information in gynecological cancers is significantly higher than those who are literate, primary school, secondary school and high school graduates. It is observed that the mean score of women who are employed in the sub-dimension of early diagnosis and awareness of information in gynecological cancers is higher than that of women who are not employed (p\u0026lt;0.001). The mean score of women who perceive their economic status as poor is significantly lower than those who perceive their economic status as moderate and good, and the mean score of women who perceive their economic status as moderate is significantly lower than those who perceive their economic status as good (p\u0026lt;0.001).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eIt was determined that the difference between the marital status, employment status, pap-smear and mammography status of women and the mean score of awareness of protection from gynecological cancers is statistically significant (p\u0026lt;0.05). It was determined that the difference between the educational status of women and the mean score of awareness of protection from gynecological cancers is statistically significant (p\u0026lt;0.001). The mean score of women with university and above education in the sub-dimension of awareness of protection from gynecological cancers is significantly higher than those who are literate, primary school, secondary school and high school graduates. It was determined that the difference between the economic status perception of women and the mean score of awareness of protection from gynecological cancers is statistically significant (p\u0026lt;0.001). The mean score of women who perceive their economic status as poor is significantly lower than those who perceive it as moderate and good, and the mean score of women who perceive their economic status as moderate is significantly lower than those who perceive it as good in the sub-dimension of awareness of early diagnosis and information in gynecological cancers.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eIt was determined that the difference between the mean score of women\u0026apos;s employment status and pap-smear status and the mean score of awareness of routine control and serious disease perception in gynecological cancers is statistically significant (p\u0026lt;0.05). The mean score of women with university and above education in the sub-dimension of awareness of routine control and serious disease perception in gynecological cancers differs significantly from those who are literate, primary school, secondary school and high school graduates (p\u0026lt;0.001). It was determined that the difference between the women\u0026apos;s economic situation perception and the mean score of awareness of routine control and serious disease perception in gynecological cancers is statistically significant and the difference is due to women who perceive their economic situation as good (p\u0026lt;0.001) (Table 4).\u003c/p\u003e\n\u003cp\u003eIn this study, it was determined that the difference between the health literacy level of women and the GCAS total score and the average score of all subscales was statistically significant (p \u0026lt;0.001) (Table 4).\u003c/p\u003e\n\u003cp\u003eIn this study, the rate of having pap-smear and mammography in women with problematic-limited health literacy was found to be statistically significantly higher than in women with inadequate, sufficient and excellent health literacy (p\u0026lt;0.05) (Table 5).\u003c/p\u003e"},{"header":"Discussion","content":"\u003cp\u003eThe total mean score of the women\u0026nbsp;who participated\u0026nbsp;in this study was determined as 157.36\u0026plusmn;25.78. When the literature is examined; the total mean score of the\u0026nbsp;GCAS\u0026nbsp;in similar studies is as follows; 155.8\u0026plusmn;17.5, 160.31\u0026plusmn;22.42, 156.3\u0026plusmn;13.81, 158.34\u0026plusmn;16.84 [7,21-23]. It is possible to say that the women\u0026apos;s gynecological cancer awareness is above the moderate level and the study is compatible with the literature.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eAccording to the study results, the total mean score of the women on the TSOY-32 scale was determined as 33.60\u0026plusmn;9.28. When the studies in the literature are examined, it is concluded that the mean scores in similar studies are; 26.47\u0026plusmn;8, 33.87\u0026plusmn;9.2, 36.123\u0026plusmn;7.733, 32.93\u0026plusmn;8.67 [17, 24-16]. The study results are similar to the literature.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eWhen the health literacy level of the women\u0026nbsp;who participated\u0026nbsp;in the study was evaluated, it was seen that 13.1% had inadequate, 42.5% had problematic-limited, 22.4% had sufficient and 22.0% had excellent health literacy. When the literature was examined, it was seen that the problematic-limited health literacy level was higher in similar studies [12-14, 20, 27]. According to a study conducted in Europe; it was concluded that 12.4% of the participants had inadequate, 35.2% had problematic-limited, 36.0% had sufficient and 16.5% had excellent health literacy [28]. When the studies conducted only on women were considered; There are also studies in the literature where 7.7% are inadequate, 24% problematic-limited, 45.4% sufficient, 22.9% have excellent health literacy levels and 14.8% are inadequate, 34.9% problematic-limited, 36.1% sufficient and 14.2% have excellent health literacy [25, 26]. When the study results are compared with the general literature, it is seen that the excellent health literacy level is higher and the inadequate health literacy level is lower. When the problematic-limited and sufficient health literacy levels are examined, the results are consistent with the general literature. It is predicted that the reasons for the differences with the literature are that this study was conducted only on women, TSOY-32 was used in measuring the health literacy level, and factors such as the location and time characteristics of the study.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eIt was determined that 77.8% of the women\u0026nbsp;who participated\u0026nbsp;in the study had a pap smear and 60.8% had a mammogram. When the studies in the literature are examined; it is concluded that the rate of having pap smear and mammography is lower [7, 18, 29-33]. According to the studies, the screening status is found to be high, unlike the literature. In addition, in a study conducted similar to this study, 70.8% had pap smear, and when the women who participated in the study and had the test were evaluated among those between the ages of 30-65, the rate of having pap smear test was found to be 87.43% [22]. It is thought that the fact that the studies were conducted on women of different age groups, the cultural structures of the regions where the studies were conducted and the distances to cancer screening centers are effective in obtaining different results. It is predicted that the high rate of having pap smear and mammography in the women\u0026nbsp;who participated\u0026nbsp;in this study is due to the fact that it was conducted on women between the ages of 30-65 within the scope of national screening standards and that it is easy to reach screening centers in the region where the study was conducted.\u003c/p\u003e\n\u003cp\u003eIn this study, it was determined that the difference between the educational status of the women and the\u0026nbsp;GCAS\u0026nbsp;total score average and the score averages of all sub-dimensions is statistically significant. The total mean score of the gynecological cancer awareness scale and the total mean score of all sub-dimensions of women with university and above education are significantly higher. When the literature is examined, it is seen that the score obtained from the gynecological cancer awareness scale increases as the level of education increases [7, 19, 22, 23, 34]. This study is similar to the literature. In addition, there are studies that do not find a significant difference between education status and gynecological cancer awareness level [32, 35]. It is thought that the capacity of women with increased education to access and understand information also increases, thus their gynecological cancer awareness is also high.\u003c/p\u003e\n\u003cp\u003eIt is seen that the difference between the total score average of GCAS and the score average of all sub-dimensions of working women is higher than that of unemployed women and the difference is statistically significant. When we look at the literature, similar results are seen in the studies conducted [7, 19, 23, 35]. The study results are similar to the literature. It can be interpreted that this significant difference is due to the fact that working women are more independent and can communicate more easily considering that they are also involved in the work environment outside of the home and can more easily seek health.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eIt was determined that the difference between the economic status perception of the women who participated in the study and the total score average of GCAS and the score average of all sub-dimensions is statistically significant. It was concluded that as the economic status perception of women goes from bad to better, the gynecological cancer awareness scale scores increase. When we look at the studies in the literature, it is seen that the gynecological cancer awareness level of women with higher incomes is higher [7, 23, 32, 34]. It is thought that this situation is due to the fact that women with higher incomes have easier access to health services.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eIt was determined that the difference between the total score of the GCAS and the mean score of all sub-dimensions of the women who participated in the study, the status of having a pap smear, and the mean score of all sub-dimensions was statistically significant. Studies support this finding [22, 23, 34, 36].\u003c/p\u003e\n\u003cp\u003eIt was determined that the difference between the marital status of the women who participated in the study, the status of having a mammography, and the mean score of the sub-dimension of awareness of protection from gynecological cancers was statistically significant. Women who were married and had a mammogram had a high level of awareness of protection from gynecological cancers. Other studies found that the GCAS gynecological cancer risk awareness sub-dimension was higher in single women [22, 23].\u003c/p\u003e\n\u003cp\u003eIt was determined that the rate of having a pap smear and mammography in married women who participated in the study was significantly higher than in single women. When the literature was reviewed, results supporting this study regarding marital status were found [18, 37-38]. In another study, no difference was found according to the marital status of women [39]. It is thought that the reason for this is that almost all of the women who participated in the study were married. It is thought that married women are more likely to participate in screenings due to reasons such as having a more active sexual life and being exposed to birth and pregnancy processes more than single women. There are also different studies showing that the status of participation in screening does not change according to marital status [40-42].\u003c/p\u003e\n\u003cp\u003eThe status of having mammography was found to be significantly higher in the women who were high school graduates who participated in the study. There are studies in the literature that the status of having pap-smear tests increases as the level of education increases [18, 37]. There are studies that do not find a significant difference between the status of having mammography according to the level of education of women [41, 42].\u003c/p\u003e\n\u003cp\u003eIt was found that the rate of having pap-smear and mammography was higher in the women who participated in the study who did not work. In a different study, the rate of having pap-smear was found to be higher in working women, but no significant difference was found [37]. In this study, it was observed that the rate of participation in screening was lower in working women compared to unemployed women, even though their awareness levels were higher. It is thought that the reason for this is that working women cannot follow the screening participation processes and do not have enough time.\u003c/p\u003e\n\u003cp\u003eThe difference between the health literacy level of the women who participated in the study and the total mean score of the gynecological cancer awareness scale was found to be statistically significant, and as the health literacy level increased, the total score of the gynecological cancer awareness scale also increased. Studies conducted are parallel to this study [43, 44]. It can be interpreted that health literacy has an effect on increasing women\u0026apos;s gynecological cancer awareness and knowledge levels.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eIn this study, the rate of women with problematic-limited health literacy having pap smear and mammography was found to be statistically significantly higher than women with inadequate, sufficient and excellent health literacy. When similar studies are examined, there are studies that do not find a relationship between having pap smear test and health literacy levels [45, 46]. In addition, there are also study results that found a significant relationship between having pap smear and health literacy levels [47-49]. The difference in the studies is thought to be due to the sociodemographic characteristics of the women who participated in the studies.\u003c/p\u003e"},{"header":"Conclusion","content":"\u003cp\u003eIt was determined that the women who participated in the study had limited health literacy and above average level of gynecological cancer awareness. It was determined that there was a relationship between women\u0026apos;s education level, employment status, economic status and gynecological cancer awareness. As women\u0026apos;s education level, employment status and economic status perception increased, their gynecological cancer awareness also increased. It was determined that the majority of women had a pap smear test and more than half of them had a mammogram. As gynecological cancer awareness increased, the rates of having a pap smear and mammogram also increased. It was determined that women\u0026apos;s health literacy levels affected their pap smear and mammogram status. As health literacy levels increased, gynecological cancer awareness also increased.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eConflict of Interest\u0026nbsp;\u003c/strong\u003eThe authors have no relevant financial or non-financial interests to disclose.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEthical Approval of the Research\u0026nbsp;\u003c/strong\u003ePrior to the research, Ethics Committee Permission dated 23.02.2023 and 2023/07 was obtained from Selcuk University Faculty of Nursing Non-Interventional Research Ethics Committee. Institutional permission dated 16.03.2023 and numbered E-26080346-799-211426845 was obtained from the Bartın Provincial Health Directorate. Informed written consent was obtained from the women who participated in the study.\u0026nbsp;The ethical principles outlined in the Declaration of Helsinki were complied with at every stage of the study.\u0026nbsp;For the use of the scale, the necessary permissions were obtained via e-mail from the authors who adapted the scales into Turkish.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eInformed consent\u0026nbsp;\u003c/strong\u003eWritten informed consent was also obtained from individual participants included in the study.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConsent to participate\u0026nbsp;\u003c/strong\u003eWritten informed consent was obtained from all individual participants included in the study.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding\u0026nbsp;\u003c/strong\u003eNo financial support was received for this study.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eSung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, Bray F, 2020. 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Dissertation, University of Ege \u003c/li\u003e\n\u003cli\u003e\u0026Ouml;z S (2021) 20 Yas ve \u0026uuml;zeri kadinlarin jinekolojik kanserlere iliskin bilgi ve farkindaliklari ile etkileyen fakt\u0026ouml;rlerin incelenmesi. Dissertation, University of Istinye \u003c/li\u003e\n\u003cli\u003ePancar N (2020) Pinarhisar\u0026rsquo;da 50 yas ve \u0026uuml;zeri yetiskinlerde saglik okuryazarliginin kolorektal kanser tarama davranislariyla iliskisi. Dissertation, University of Kirklareli \u003c/li\u003e\n\u003cli\u003eYilmaz E (2022) Kadin hastalarin saglik okuryazarligi d\u0026uuml;zeyinin belirlenmesi. Dissertation, University of Istanbul Arel \u003c/li\u003e\n\u003cli\u003eInan A (2023) Altindag il\u0026ccedil;esi kadin egitim ve k\u0026uuml;lt\u0026uuml;r merkezlerine \u0026uuml;ye kadinlarda saglik okuryazarligi d\u0026uuml;zeyleri ile yeme farkindaligi arasindaki iliskinin degerlendirilmesi. Dissertation, University of Saglik Bilimleri \u003c/li\u003e\n\u003cli\u003eG\u0026uuml;ven A, 2016. Saglik okuryazarligini etkileyen fakt\u0026ouml;rler ve saglik okuryazarligi ile hasta g\u0026uuml;venligi iliskisi, Dissertation, University of Hacettepe \u003c/li\u003e\n\u003cli\u003eSorensen K, 2013. Health Literacy: The Neglected European Public Health Disparity. 1-262. https://doi.org/10.26481/dis.20131106ks\u003c/li\u003e\n\u003cli\u003eWorld Health Organization, 2017. T\u0026uuml;rkiye hanehalki saglik arastirmasi: bulasici olmayan hastaliklarin risk fakt\u0026ouml;rleri prevalansi. Ed: \u0026Uuml;ner S, Balcilar M, Erg\u0026uuml;der T. World Health Organization Turkey Office, Ankara, 2018.\u003c/li\u003e\n\u003cli\u003eUgur HG, Derya YA, Yavuz AY, Silbir MF, \u0026Ouml;ner A, 2019. Aile sagligi merkezlerine basvuran 30-70 yas grubu kadinlarin ulusal kanser taramalarina y\u0026ouml;nelik bilgi tutum ve davranislari: Karadeniz B\u0026ouml;lgesi\u0026rsquo;nde bir il \u0026ouml;rnegi. S\u0026uuml;rekli Tip Egitimi Dergisi, 28, 5:340-348. https://doi.org/10.17942/sted.529150\u003c/li\u003e\n\u003cli\u003ePehlivanoglu EF\u0026Ouml;, Sari HB, Balcioglu H, \u0026Uuml;nl\u0026uuml;oglu I, 2019. Aile hekimligi poliklinigine basvuran kadin hastalarin Human Papilloma Vir\u0026uuml;s asilamasi ve serviks kanseri hakkinda bilgi, tutum ve davranislarinin degerlendirilmesi. Ortadogu Tip Derg, 11, 4:456-460. https://doi.org/10.21601/ortadogutipdergisi.529515\u003c/li\u003e\n\u003cli\u003eG\u0026ouml;z\u0026uuml;yesil E, Ari\u0026ouml;z D\u0026uuml;zg\u0026uuml;n A, Tas F, 2020. Bir aile sagligi merkezine basvuran kadinlarin jinekolojik kanser farkindaliklarinin degerlendirilmesi. TJFMPC, 14, 2:177-185. https://doi.org/10.21763/tjfmpc.730022\u003c/li\u003e\n\u003cli\u003eUysal N, Toprak F\u0026Uuml;, 2022. Kadinlarin saglik algilari, kanser taramalarina y\u0026ouml;nelik tutumlari ve etkileyen fakt\u0026ouml;rlerin belirlenmesi. Adnan Menderes \u0026Uuml;niversitesi Saglik Bilimleri Fak\u0026uuml;ltesi Dergisi, 6, 1:65-76. https://doi.org/10.46237/amusbfd.926839\u003c/li\u003e\n\u003cli\u003e\u0026Ccedil;elebi N (2021) Kadinlarin jinekolojik kanserlere y\u0026ouml;nelik farkindaliklari ve erken tani y\u0026ouml;ntemlerine y\u0026ouml;nelik davranislarinin degerlendirilmesi. Dissertation, University of Atat\u0026uuml;rk \u003c/li\u003e\n\u003cli\u003eKaya Senol D, Polat F, Dogan M, 2021. Gynecological cancer awareness: reproductive age and postmenopausal women. TJFMPC, 15, 1:56-62. https://doi.org/10.21763/tjfmpc.805231\u003c/li\u003e\n\u003cli\u003e\u0026Ouml;ztas HG, Toker E, Kamalak H, 2023. Kadinlarin saglik algilarinin jinekolojik kanser farkindaliklarina etkisi kesitsel bir \u0026ccedil;alisma. TJFMPC, 17, 2:210-219. https://doi.org/10.21763/tjfmpc.1206594\u003c/li\u003e\n\u003cli\u003eInan E (2018) Diyarbakir ili Kayapinar il\u0026ccedil;esi 9 nolu aile saglik merkezi b\u0026ouml;lgesinde 30-69 yas arasi kadinlarin meme ve serviks kanseri konusunda bilgi, tutum ve davranislarinin degerlendirilmesi. Dissertation, University of Dicle \u003c/li\u003e\n\u003cli\u003eArslan H (2020) Aile hekimligi poliklinigine herhangi bir sebeple basvuran 18-65 yas arasi kadinlarin serviks kanseri taramasi ve hpv asisi hakkindaki bilgi d\u0026uuml;zeyi ve davranislarinin degerlendirilmesi. Dissertation, University of Saglik Bilimleri \u003c/li\u003e\n\u003cli\u003eKili\u0026ccedil;sokan P, Ilhan N, 2020. Bir aile sagligi merkezine basvuran kadinlarin pap smear testi yaptirma durumlari ile serviks kanserine ve pap smear testine y\u0026ouml;nelik saglik inan\u0026ccedil;lari. Jinekoloji- Obstetrik ve Neonatoloji Tip Dergisi, 17, 2:323-327. https://doi.org/10.38136/jgon.667534\u003c/li\u003e\n\u003cli\u003eKissal A, Beser A, 2017. Results of breast and cervical cancer health promotion model for older Turkish women. Journal of Human Sciences, 14, 3:2374-2385.\u003c/li\u003e\n\u003cli\u003eCoskun SP (2019) Yoksul kadinlarda meme kanseri korkusu ve kadercilik algisinin erken tani davranislarina etkisi. Dissertation, University of Dokuz Eyl\u0026uuml;l \u003c/li\u003e\n\u003cli\u003eAl\u0026ccedil;inar G (2023) Kadinlarin mamografi taramasina katilimi, meme kanseri risk d\u0026uuml;zeyleri ve \u0026ouml;l\u0026uuml;m kaygisiyla iliskisi. Dissertation, University of Ondokuz Mayis \u003c/li\u003e\n\u003cli\u003eTorun A (2019) Lise kiz \u0026ouml;grencilerinin saglik algilarinin jinekolojik kanserlerden korunma konusundaki bilgi d\u0026uuml;zeyleri ile iliskisi. Dissertation, University of Sivas Cumhuriyet\u003c/li\u003e\n\u003cli\u003eK\u0026ouml;se Tuncer S, Karakurt P, 2023. Jinekolojik kanserlerin farkindaliginda saglik okuryazarligi. Lokman Hekim Dergisi, 13, 1:196-206. https://doi.org/10.31020/mutftd.1175176\u003c/li\u003e\n\u003cli\u003eYilmaz M (2016) Evli kadinlarin (18-65 yas arasi) servikal kansere iliskin bilgi d\u0026uuml;zeyi ile \u0026ouml;z-etkililik ve saglik okuryazarligi d\u0026uuml;zeyleri arasindaki iliskinin incelenmesi. Dissertation, University of Izmir \u003c/li\u003e\n\u003cli\u003eAlag\u0026ouml;z Ekti Z (2020) Aile sagligi merkezine kayitli kisilerin saglik okuryazarligi d\u0026uuml;zeyinin genel saglik taramalari ve saglik algisi \u0026uuml;zerine etkisinin degerlendirilmesi. Dissertation, University of Afyonkarahisar \u003c/li\u003e\n\u003cli\u003eYilmazel G, 2019. Low health literacy, poor knowledge, and practice among Turkish women patients undergoing cervical cancer screening. Journal of Cancer Research and Therapeutics, 15, 6:1276-1281. https://doi.org/10.4103/jcrt.jcrt_1142_16\u003c/li\u003e\n\u003cli\u003eBaharum NN, Ariffin F, Isa MR, Tin ST, 2020. Health literacy, knowledge on cervical cancer and pap smear and its influence on pre-marital malay muslim women attitude towards pap smear. Asian Pac J Cancer Prev, 21, 7:2021-2028. https://doi.org/10.31557/apjcp.2020.21.7.2021\u003c/li\u003e\n\u003cli\u003eKiracilar \u0026Ccedil;olban E (2021) Saglik okuryazarliginin meme ve serviks erken tani davranislarina etkisi. Dissertation, University of Hitit \u003c/li\u003e\n\u003c/ol\u003e"},{"header":"Tables","content":"\u003cp\u003e\u003cstrong\u003eTable 1\u0026nbsp;\u003c/strong\u003eDistribution of Sociodemographic Characteristics of Women (n=487)\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"100%\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 34px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eVariables\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 25px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21px;\"\u003e\n \u003cp\u003e\u003cimg width=\"9\" height=\"15\" src=\"data:image/png;base64,R0lGODlhCQAPAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAAAwAHAAgAhAAAAAAAAAAAOgAAZgA6kDoAADqQ22YAAGY6Zma222a2/5A6AJBmOpC225Db/7ZmALb/trb//9uQOtv/2//bkP/btv//tv//2wECAwECAwECAwECAwECAwECAwECAwECAwUloHUEpOAAaAoswQAdQ1QdxMQ0KFWY6cUaqArCIQkkVgHFI2AKAQA7\" alt=\"image\"\u003e\u003cstrong\u003e\u0026plusmn; SS\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 17px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMin-Max\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 34px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eAge\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 25px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21px;\"\u003e\n \u003cp\u003e43,13\u0026plusmn;8,31\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 17px;\"\u003e\n \u003cp\u003e30-65\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 34px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 25px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21px;\"\u003e\n \u003cp\u003e\u003cstrong\u003en\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 17px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e%\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 34px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMarital Status\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 25px;\"\u003e\n \u003cp\u003eMarried\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21px;\"\u003e\n \u003cp\u003e410\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 17px;\"\u003e\n \u003cp\u003e84,2\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 34px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 25px;\"\u003e\n \u003cp\u003eSingle/Divorced\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21px;\"\u003e\n \u003cp\u003e77\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 17px;\"\u003e\n \u003cp\u003e15,8\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 34px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eEducational Status\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 25px;\"\u003e\n \u003cp\u003eLiterate\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21px;\"\u003e\n \u003cp\u003e9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 17px;\"\u003e\n \u003cp\u003e1,8\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 34px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 25px;\"\u003e\n \u003cp\u003ePrimary School\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21px;\"\u003e\n \u003cp\u003e105\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 17px;\"\u003e\n \u003cp\u003e21,6\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 34px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 25px;\"\u003e\n \u003cp\u003eSecondary School\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21px;\"\u003e\n \u003cp\u003e76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 17px;\"\u003e\n \u003cp\u003e15,6\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 34px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 25px;\"\u003e\n \u003cp\u003eHigh School\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21px;\"\u003e\n \u003cp\u003e170\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 17px;\"\u003e\n \u003cp\u003e34,9\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 34px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 25px;\"\u003e\n \u003cp\u003eUniversity and above\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21px;\"\u003e\n \u003cp\u003e127\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 17px;\"\u003e\n \u003cp\u003e26,1\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 34px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eEmployment Status\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 25px;\"\u003e\n \u003cp\u003eEmployed\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21px;\"\u003e\n \u003cp\u003e250\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 17px;\"\u003e\n \u003cp\u003e51,3\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 34px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 25px;\"\u003e\n \u003cp\u003eNot Employed\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21px;\"\u003e\n \u003cp\u003e237\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 17px;\"\u003e\n \u003cp\u003e48,7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 34px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eEconomic Status\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 25px;\"\u003e\n \u003cp\u003eGood\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21px;\"\u003e\n \u003cp\u003e112\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 17px;\"\u003e\n \u003cp\u003e23,0\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 34px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 25px;\"\u003e\n \u003cp\u003eAverage\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21px;\"\u003e\n \u003cp\u003e319\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 17px;\"\u003e\n \u003cp\u003e65,5\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 34px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 25px;\"\u003e\n \u003cp\u003ePoor\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21px;\"\u003e\n \u003cp\u003e56\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 17px;\"\u003e\n \u003cp\u003e11,5\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 2.\u0026nbsp;\u003c/strong\u003eDistribution of Women\u0026apos;s Gynecological Cancer Awareness Scale and Health Literacy Scale Score Averages (n=487)\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"100%\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 63px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eScales and Sub-dimensions\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21px;\"\u003e\n \u003cp\u003e\u003cimg width=\"9\" height=\"15\" src=\"data:image/png;base64,R0lGODlhCQAPAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAAAwAHAAgAhAAAAAAAAAAAOgAAZgA6kDoAADqQ22YAAGY6Zma222a2/5A6AJBmOpC225Db/7ZmALb/trb//9uQOtv/2//bkP/btv//tv//2wECAwECAwECAwECAwECAwECAwECAwECAwUloHUEpOAAaAoswQAdQ1QdxMQ0KFWY6cUaqArCIQkkVgHFI2AKAQA7\" alt=\"image\"\u003e\u003cstrong\u003e\u0026plusmn; SS\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 15px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMin-Max\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 63px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eGCAS Total\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21px;\"\u003e\n \u003cp\u003e157,36\u0026plusmn;25,78\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 15px;\"\u003e\n \u003cp\u003e46-205\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 63px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eGynecological Cancer Risk Awareness\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21px;\"\u003e\n \u003cp\u003e28,83\u0026plusmn;6,35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 15px;\"\u003e\n \u003cp\u003e11-45\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 63px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eEarly Diagnosis and Information Awareness in Gynecological Cancers\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21px;\"\u003e\n \u003cp\u003e16,83\u0026plusmn;3,00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 15px;\"\u003e\n \u003cp\u003e4-20\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 63px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eGynecological Cancer Prevention Awareness\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21px;\"\u003e\n \u003cp\u003e22,52\u0026plusmn;4,70\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 15px;\"\u003e\n \u003cp\u003e6-30\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 63px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eRoutine Control and Serious Disease Perception Awareness in Gynecological Cancers\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21px;\"\u003e\n \u003cp\u003e89,16\u0026plusmn;15,59\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 15px;\"\u003e\n \u003cp\u003e22-110\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 63px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTSOY-32 Scale\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21px;\"\u003e\n \u003cp\u003e33,60\u0026plusmn;9,28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 15px;\"\u003e\n \u003cp\u003e0-50\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 63px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eHealth Literacy Level\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21px;\"\u003e\n \u003cp\u003e\u003cstrong\u003en\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 15px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e%\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 63px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eInadequate\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21px;\"\u003e\n \u003cp\u003e64\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 15px;\"\u003e\n \u003cp\u003e13,1\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 63px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eProblematic-Limited\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21px;\"\u003e\n \u003cp\u003e207\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 15px;\"\u003e\n \u003cp\u003e42,5\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 63px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSufficient\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21px;\"\u003e\n \u003cp\u003e109\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 15px;\"\u003e\n \u003cp\u003e22,4\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 63px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eExcellent\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 21px;\"\u003e\n \u003cp\u003e107\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 15px;\"\u003e\n \u003cp\u003e22,0\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cimg src=\"data:image/png;base64,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width=\"584\" height=\"388\"\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 4.\u0026nbsp;\u003c/strong\u003eDistribution of gynecological cancer awareness levels of women according to their health literacy levels (n=487)\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"105%\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 15px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eVariables\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 19px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eGCAS\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 17px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eGynecological Cancer Risk Awareness\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 14px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eEarly Diagnosis and Information Awareness in Gynecological Cancers\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 16px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eGynecological Cancer Prevention Awareness\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 17px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003cstrong\u003eRoutine Control and Serious Disease Perception Awareness in Gynecological Cancers\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 15px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eHealth Literacy Level\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8px;\"\u003e\n \u003cp\u003e\u003cimg width=\"10\" height=\"17\" src=\"data:image/png;base64,R0lGODlhCgARAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAABAAHAAkAhAAAAAAAAAAAOgA6kABmtjoAADpmtjqQ22YAAGa222a2/5A6AJA6OpDb/7ZmANuQOtv///+2Zv/bkP/btv//tv//2wECAwECAwECAwECAwECAwECAwECAwECAwECAwECAwUkIIUEZEAAaKqqC5m0x4QIzWNAgBgcaeUEA9yEoZAUgrAI6RACADs=\" alt=\"image\"\u003e\u003cstrong\u003e\u0026plusmn; SS\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 10px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMedian\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(Q1-Q3)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u003cimg width=\"10\" height=\"17\" src=\"data:image/png;base64,R0lGODlhCgARAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAABAAHAAkAhAAAAAAAAAAAOgA6kABmtjoAADpmtjqQ22YAAGa222a2/5A6AJA6OpDb/7ZmANuQOtv///+2Zv/bkP/btv//tv//2wECAwECAwECAwECAwECAwECAwECAwECAwECAwECAwUkIIUEZEAAaKqqC5m0x4QIzWNAgBgcaeUEA9yEoZAUgrAI6RACADs=\" alt=\"image\"\u003e\u003cstrong\u003e\u0026plusmn; SS\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 9px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMedian\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(Q1-Q3)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u003cimg width=\"10\" height=\"17\" src=\"data:image/png;base64,R0lGODlhCgARAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAABAAHAAkAhAAAAAAAAAAAOgA6kABmtjoAADpmtjqQ22YAAGa222a2/5A6AJA6OpDb/7ZmANuQOtv///+2Zv/bkP/btv//tv//2wECAwECAwECAwECAwECAwECAwECAwECAwECAwECAwUkIIUEZEAAaKqqC5m0x4QIzWNAgBgcaeUEA9yEoZAUgrAI6RACADs=\" alt=\"image\"\u003e\u003cstrong\u003e\u0026plusmn; SS\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 6px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMedian\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(Q1-Q3)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7px;\"\u003e\n \u003cp\u003e\u003cimg width=\"10\" height=\"17\" src=\"data:image/png;base64,R0lGODlhCgARAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAABAAHAAkAhAAAAAAAAAAAOgA6kABmtjoAADpmtjqQ22YAAGa222a2/5A6AJA6OpDb/7ZmANuQOtv///+2Zv/bkP/btv//tv//2wECAwECAwECAwECAwECAwECAwECAwECAwECAwECAwUkIIUEZEAAaKqqC5m0x4QIzWNAgBgcaeUEA9yEoZAUgrAI6RACADs=\" alt=\"image\"\u003e\u003cstrong\u003e\u0026plusmn; SS\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMedian\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(Q1-Q3)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8px;\"\u003e\n \u003cp\u003e\u003cimg width=\"10\" height=\"17\" src=\"data:image/png;base64,R0lGODlhCgARAHcAMSH+GlNvZnR3YXJlOiBNaWNyb3NvZnQgT2ZmaWNlACH5BAEAAAAALAAABAAHAAkAhAAAAAAAAAAAOgA6kABmtjoAADpmtjqQ22YAAGa222a2/5A6AJA6OpDb/7ZmANuQOtv///+2Zv/bkP/btv//tv//2wECAwECAwECAwECAwECAwECAwECAwECAwECAwECAwUkIIUEZEAAaKqqC5m0x4QIzWNAgBgcaeUEA9yEoZAUgrAI6RACADs=\" alt=\"image\"\u003e\u003cstrong\u003e\u0026plusmn; SS\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMedian\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(Q1-Q3)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 15px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eInadequate\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8px;\"\u003e\n \u003cp\u003e141,29\u0026plusmn;13,64\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 10px;\"\u003e\n \u003cp\u003e142(135-150)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7px;\"\u003e\n \u003cp\u003e25,37\u0026plusmn;4,55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 9px;\"\u003e\n \u003cp\u003e27(22,5-27,75)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7px;\"\u003e\n \u003cp\u003e15,12\u0026plusmn;2,13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 6px;\"\u003e\n \u003cp\u003e16(14-16)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7px;\"\u003e\n \u003cp\u003e19,51\u0026plusmn;3,15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8px;\"\u003e\n \u003cp\u003e20(18-21,75)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8px;\"\u003e\n \u003cp\u003e81,28\u0026plusmn;9,98\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8px;\"\u003e\n \u003cp\u003e82(75,5-87)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 15px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eProblematic-Limited\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8px;\"\u003e\n \u003cp\u003e151,48\u0026plusmn;18,60\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 10px;\"\u003e\n \u003cp\u003e152(143-160)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7px;\"\u003e\n \u003cp\u003e27,37\u0026plusmn;4,62\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 9px;\"\u003e\n \u003cp\u003e27(24-30)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7px;\"\u003e\n \u003cp\u003e16,40\u0026plusmn;2,46\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 6px;\"\u003e\n \u003cp\u003e16(16-18)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7px;\"\u003e\n \u003cp\u003e21,70\u0026plusmn;3,96\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8px;\"\u003e\n \u003cp\u003e22(19-24)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8px;\"\u003e\n \u003cp\u003e86,00\u0026plusmn;12,18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8px;\"\u003e\n \u003cp\u003e86(81-89)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 15px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eAdequate Health\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8px;\"\u003e\n \u003cp\u003e157,82\u0026plusmn;26,88\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 10px;\"\u003e\n \u003cp\u003e159(146,5-175,5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7px;\"\u003e\n \u003cp\u003e28,88\u0026plusmn;6,09\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 9px;\"\u003e\n \u003cp\u003e29(25-32)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7px;\"\u003e\n \u003cp\u003e16,99\u0026plusmn;3,54\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 6px;\"\u003e\n \u003cp\u003e18(16-20)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7px;\"\u003e\n \u003cp\u003e22,80\u0026plusmn;4,58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8px;\"\u003e\n \u003cp\u003e24(19,5-26)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8px;\"\u003e\n \u003cp\u003e89.13\u0026plusmn;17,00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8px;\"\u003e\n \u003cp\u003e88(83-104)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 15px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eExcellent\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8px;\"\u003e\n \u003cp\u003e177,87\u0026plusmn;29,66\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 10px;\"\u003e\n \u003cp\u003e186(167-198)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7px;\"\u003e\n \u003cp\u003e33,69\u0026plusmn;7,63\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 9px;\"\u003e\n \u003cp\u003e34(29-40)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7px;\"\u003e\n \u003cp\u003e18,53\u0026plusmn;3,01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 6px;\"\u003e\n \u003cp\u003e20(18-20)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 7px;\"\u003e\n \u003cp\u003e25,62\u0026plusmn;5,20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8px;\"\u003e\n \u003cp\u003e27(23-30)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8px;\"\u003e\n \u003cp\u003e100,02\u0026plusmn;17,20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 8px;\"\u003e\n \u003cp\u003e107(95-110)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 15px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTest value\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003ep\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 19px;\"\u003e\n \u003cp\u003eKW=134,917\u003c/p\u003e\n \u003cp\u003ep\u0026lt;0,001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 17px;\"\u003e\n \u003cp\u003eKW=80,338\u003c/p\u003e\n \u003cp\u003ep\u0026lt;0,001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 14px;\"\u003e\n \u003cp\u003eKW=109,979\u003c/p\u003e\n \u003cp\u003ep\u0026lt;0,001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 16px;\"\u003e\n \u003cp\u003eKW=95,100\u003c/p\u003e\n \u003cp\u003ep\u0026lt;0,001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 17px;\"\u003e\n \u003cp\u003eKW=120,013\u003c/p\u003e\n \u003cp\u003ep\u0026lt;0,001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eKW;\u0026nbsp;Kruskal Wallis-H Test\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 5.\u0026nbsp;\u003c/strong\u003eCurrent status of women\u0026apos;s Pap-Smear and Mammography according to their health literacy level (n=487)\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"102%\" class=\"fr-table-selection-hover\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 30px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eVariables\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"4\" valign=\"top\" style=\"width: 25px;\"\u003e\n \u003cp\u003e\u003cstrong\u003ePap-Smear Status\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 6px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"4\" valign=\"top\" style=\"width: 26px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMammography Status\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 9px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 30px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 12px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eYes\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 12px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNo\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 6px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026chi; 2 ; p\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 13px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eYes\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"top\" style=\"width: 12px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNo\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 9px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 30px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eHealth Literacy Level\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 6px;\"\u003e\n \u003cp\u003e\u003cstrong\u003en\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 5px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e%\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 6px;\"\u003e\n \u003cp\u003e\u003cstrong\u003en\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 6px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e%\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 6px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 6px;\"\u003e\n \u003cp\u003e\u003cstrong\u003en\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 6px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e%\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 6px;\"\u003e\n \u003cp\u003e\u003cstrong\u003en\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 5px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e%\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 9px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026chi; 2 ; p\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 30px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eInadequate\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 6px;\"\u003e\n \u003cp\u003e44\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 5px;\"\u003e\n \u003cp\u003e68,8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 6px;\"\u003e\n \u003cp\u003e20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 6px;\"\u003e\n \u003cp\u003e31,2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"4\" valign=\"top\" style=\"width: 6px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e12,727\u003c/p\u003e\n \u003cp\u003ep=0,005\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 6px;\"\u003e\n \u003cp\u003e40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 6px;\"\u003e\n \u003cp\u003e62,5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 6px;\"\u003e\n \u003cp\u003e24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 5px;\"\u003e\n \u003cp\u003e37,5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"4\" valign=\"top\" style=\"width: 9px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e14,518\u003c/p\u003e\n \u003cp\u003ep=0,002\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 30px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eProblematic-Limited\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 6px;\"\u003e\n \u003cp\u003e172\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 5px;\"\u003e\n \u003cp\u003e83,1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 6px;\"\u003e\n \u003cp\u003e35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 6px;\"\u003e\n \u003cp\u003e16,9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 6px;\"\u003e\n \u003cp\u003e143\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 6px;\"\u003e\n \u003cp\u003e69,1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 6px;\"\u003e\n \u003cp\u003e64\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 5px;\"\u003e\n \u003cp\u003e30,9\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 30px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eAdequate Health\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 6px;\"\u003e\n \u003cp\u003e75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 5px;\"\u003e\n \u003cp\u003e68,8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 6px;\"\u003e\n \u003cp\u003e34\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 6px;\"\u003e\n \u003cp\u003e31,2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 6px;\"\u003e\n \u003cp\u003e52\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 6px;\"\u003e\n \u003cp\u003e47,7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 6px;\"\u003e\n \u003cp\u003e57\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 5px;\"\u003e\n \u003cp\u003e52,3\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 30px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eExcellent\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 6px;\"\u003e\n \u003cp\u003e88\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 5px;\"\u003e\n \u003cp\u003e82,2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 6px;\"\u003e\n \u003cp\u003e19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 6px;\"\u003e\n \u003cp\u003e17,8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 6px;\"\u003e\n \u003cp\u003e61\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 6px;\"\u003e\n \u003cp\u003e57,0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 6px;\"\u003e\n \u003cp\u003e46\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 5px;\"\u003e\n \u003cp\u003e43,0\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u0026chi; 2; Ki kare test; *p\u0026lt;0,05, **p\u0026lt;0,001\u003c/p\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Awareness, Gynecological Cancers, Health Literacy, Scans","lastPublishedDoi":"10.21203/rs.3.rs-5774506/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-5774506/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003e\u003cstrong\u003ePurpose\u003c/strong\u003e: The research was conducted to examine the health literacy levels of women and to determine the relationship between health literacy levels and gynecological cancer awareness and participation in screening. \u003cstrong\u003eMethods\u003c/strong\u003e: The population of the descriptive and cross-sectional research consisted of women who applied to a Family Health Center in the Western Black Sea region of Turkey for any reason between March and September 2023. The study was completed with 487 women reached by random sample selection method. Data were collected by face-to-face survey method using the Introductory Information Form, Turkey Health Literacy Scale and Gynecological Cancers Awareness Scale. Kruskal-Wallis and Mann-Whitney U test and Spearman correlation analysis were used to evaluate the data.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eResults\u003c/strong\u003e: The average score of the women who participated in the study on the Turkey Health Literacy Scale was 33.60±9.28 and the average score on the Gynecological Cancers Awareness Scale was 157.36±25.78. It has been determined that factors such as women's education level, employment status, economic status, and pap-smear test status affect gynecological cancer awareness (p \u0026lt;0.05). It was found that there was a significant relationship between women's health literacy level and their level of awareness of gynecological cancers and their participation in screenings (p\u0026lt;0.05).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConclusions\u003c/strong\u003e: It was determined that the women who participated in the study had a limited level of health literacy and an above-medium level of gynecological cancer awareness. As the level of health literacy increases, awareness of gynecological cancer also increases. It has also been determined that women's health literacy levels affect their having pap-smear and mammography.\u003c/p\u003e","manuscriptTitle":"Determination of the Relationship Between Women’s Health Literacy Level and Their Awareness of Gynecologic Cancers and Participation in Screening","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-09-29 04:38:34","doi":"10.21203/rs.3.rs-5774506/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"b78871eb-e83a-4e4a-97f6-1e8a3d4c74a7","owner":[],"postedDate":"September 29th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2025-09-29T04:38:34+00:00","versionOfRecord":[],"versionCreatedAt":"2025-09-29 04:38:34","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-5774506","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-5774506","identity":"rs-5774506","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}