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Women’s Knowledge and Awareness of the Effect of Age on Fertility in Kazakhstan

Department of Medicine, Nazarbayev University School of Medicine, Nur-Sultan 010000, Kazakhstan
Spanish Network of Health Services Research and Chronic Diseases (REDISSEC), 28029 Madrid, Spain
Clinical Academic Department of Women’s Health, National Research Center of Mother and Child Health, University Medical Center, Nur-Sultan 010000, Kazakhstan
Department of Cell Biology, Histology and Embryology, Gottfried Schatz Research Center for Cell Signaling, Metabolism & Aging, Medical University of Graz, 8036 Graz, Austria
Department of Biomedical Sciences, Nazarbayev University School of Medicine, Nur-Sultan 010000, Kazakhstan
Department of Obstetrics, Gynecology and Reproductive Sciences, University of Pittsburgh School of Medicine, Pittsburgh, PA 15261, USA
Author to whom correspondence should be addressed.
Sexes 2020, 1(1), 60-71;
Submission received: 16 November 2020 / Revised: 9 December 2020 / Accepted: 14 December 2020 / Published: 16 December 2020


An accurate understanding of reproductive facts is essential for appropriate decision making regarding whether, when, and how to conceive. The objective of this study was to investigate women’s knowledge of how age affects fertility and their knowledge about the effectiveness for assisted reproductive technologies for treating fertility. A cross-sectional study was conducted including women seeking fertility treatment at the University Medical Center, Nur-Sultan, Kazakhstan in 2018–2019. Patients were interviewed with a structured questionnaire. Socio-demographic, clinical characteristics, and knowledge and awareness about the implications of aging for fertility (advanced maternal age (AMA)) and pregnancy outcomes using fertility treatments (assisted reproductive technologies ((ART)) and the sum of both scores total knowledge score (TKS). TKS mean was 7.7 (SD = 2.1), AMA was 5.0 (SD = 1.5), and ART was 2.7 (SD = 1.5). No socio-demographic factors correlated with lower knowledge. Fertility knowledge was found to be low. No differences were found associated with socio-economic level, although they were identified in women with certain types of infertility and a history of gynecological problems. Delaying childbearing based on incorrect perceptions of female fertility could lead to involuntary childlessness. Health education regarding fertility has to be part of broader health promotion programs to enhance awareness of the effect of age on fertility.

1. Introduction

An accurate understanding and knowledge of reproductive facts is essential for women and couples appropriate decision making regarding whether, when, and how to conceive. Identifying gaps in knowledge, including prevalent myths and misconceptions, attitudes, and practices, of women of reproductive age before planning and conceiving a pregnancy is important to optimize reproductive and pregnancy outcomes [1]. Likewise, understanding how women access information about reproductive health can highlight opportunities for enhanced communication and information dissemination.
The “postponement transition” [2,3], with couples having children in a period when women’s fecundity is in decline, is associated with the period of the lowest fertility observed [4]. Although some global determinants may explain this delay, like the introduction of contraceptive methods that made women increasingly able to control their reproduction [5], there may likely be specific factors in different countries and different contexts. Although the widespread availability of assisted reproductive technologies (ART), such as in vitro fertilization (IVF), has helped many couples realize their dream of parenthood, they cannot fully compensate for the age-dependent loss of fecundity because the success rates of these techniques sharply decrease with age [6] Fertility awareness studies have demonstrated the general lack of awareness of the age-related relationship of the risk of infertility and overestimating both women’s fecundity at older ages as well as the rates of success of IVF [7,8,9].
From a demographic perspective, Kazakhstan is a relatively young country. The majority of the population belongs to younger age groups (the average age is 29 years), 26.7% of the population are women of fertile age [10]. The fertility rate (total births per woman) in Kazakhstan decreased significantly from 4.6 in 1960 to 2.8 in 2015 [11]. However, the average age of women at first birth increased significantly, from 23 years in 1990 to 27.6 years in 2010, and 28.5 in 2017, approaching the level of Eastern European countries, and deviating from that of Central Asia countries [12]. That information suggests that the frequency of infertility caused by the advanced age of the mother may rise in the country in the coming years. There are lack of studies reporting the frequency of infertile marriage for the republic of Kazakhstan, which has been estimated to vary from 12 to 15.5% [13].
The objective of this study was to investigate women’s knowledge of how age affects fertility as well as their knowledge about the effectiveness for assisted reproductive technologies for treating fertility; and to examine the association between women’s fertility-related knowledge to socio-demographic factors, medical history, and lifestyle behaviors.

2. Materials and Methods

2.1. Study Design and Setting

This is a cross-sectional study carried out at the IVF Unit of the Clinical Academic Department of Women’s Health, National Research Center of Mother and Child Health, University Medical Center (UMC), Nur-Sultan.

2.2. Eligibility Criteria

Inclusion criteria were (1) came for a consultation to the IVF unit due to infertility from various regions of Kazakhstan, (2) were over 18 years old, and (3) able to answer questions in Kazakh, Russian, or English.

2.3. Data Sources and Measurements

A questionnaire consisting of 38 open-ended questions were given to women. The questionnaire was designed after reviewing previous works on fertility awareness and modified by the reproductive specialists participating in this work according to patient population and level of understanding in a Kazakh set up [14,15]. Kazakhstan is a bilingual country, so the questionnaire was available both in Russian and Kazakh languages.

2.4. Study Size

All women who met inclusion criteria, throughout a period of two years (2018–2019) were invited to participate.

2.5. Quantitative Variables

Knowledge of women was ascertained with 13 statements exploring two different sub-domains: their knowledge on the effect of advanced maternal age on pregnancy outcomes, (AMA score) and their knowledge on the success of assisted reproductive techniques (ART score). A final total score was obtained (total knowledge score (TKS)), which was the sum of the knowledge of the 2 previously mentioned sub-domains, AMA and ART. Participants’ answers were categorized as correct or incorrect responses based on whether the statement was true or false. For the 3 scores, higher scores indicating more accurate knowledge about fertility, aging, and ART outcomes. TKS had a possible range of 0–13 points, AMA ranged from 0 to 7, while ART knowledge score ranged = 0–6.
The questionnaire also interrogated women about their knowledge and awareness of the relationship between age and fertility and pregnancy outcomes after 35 years, as well as regarding the rates of success of existing treatments of infertility. Medical information and data concerning IVF outcomes were obtained from medical records.
The following data obtained/confirmed by medical records review and questionnaires: demographic (socio-economic status, education level), biomedical (age, comorbid conditions, Body Mass Index (BMI)), previous pregnancies, history of prior IVF/ART, and infertility duration), lifestyle perception (stress, attitude, prayer, and health behaviors).

2.6. Statistical Methods

A description of the variables included was conducted as well as bivariate analysis including the association of the means values of AMA, ART, and TKS scores with the demographic, biomedical, and lifestyle variables.

2.7. Ethics Considerations

Ethical approval was obtained from the Institutional Research Ethics Committee of UMC, protocol #6 of the session of 17th September of 2015.

3. Results

3.1. Demographic Characteristics

Data was available from 236 women who provided the informed consent and completed a questionnaire. Socio-demographic data and clinical characteristics of these women are presented in Table 1. The mean age of woman was 34.8 years (SD = 7.9 years). 73.4% had at least a university degree and 30.9% of the sample reported income levels > 1 million tenge (2500 US$). The main sources of information regarding fertility were their doctors (51.7%) and the Internet (45.3%).
A total of 48.7% of the women indicated more than five years duration of infertility. Male factor (21.2%) and tubal problems (28.0%) were the two most frequent causes of infertility reported by women answering the questionnaire. 81.8% of them had started infertility treatment when they were below 30.

3.2. Behavior and Lifestyles

Table 2 shows results that describe lifestyles women responding to the questionnaire. It is to mention the low proportion of them that indicated that exercise regularly (60%) or practice yoga (89%). Nevertheless, there was a high prevalence of women who are non-smokers (89%) and have normal weight (64%). There was also a low proportion of women practicing yoga or acupuncture, most indicated to have a regular use of mobile phones. The majority of women engaged in prayer, had a positive attitude, as well as avoided stress. A high percentage of women reported limiting even completely physical activity after implantation (63%).

3.3. Knowledge of the Reproductive Consequences of Aging and Reproductive Technologies

Participants’ knowledge of the reproductive consequences of aging and ART are shown in Table 3. These results indicate that women were more aware and had better knowledge regarding the consequences of childbearing at advanced ages (AMA) than of ART. In all, 63 to 85% of women responded correctly each of the seven statements about AMA. The question with the highest correct answers was: Most women knew that ART is associated with multiple gestations (69%). Questions with a percentage of correct answers below 30% were: After infertility treatment, stillbirths/fetal deaths are more common and After infertility treatment, the risk of genetic problems in the baby is higher.
The quantitative data for those responses showed that TKS mean was 7.7 (SD = 2.1). AMA knowledge scores mean was 5.0 (SD = 1.5) and ART knowledge scores mean was 2.7 (SD = 1.5). Figure 1 presents the results obtained for total knowledge scores. In total, 14% of women (36) answered correctly all seven AMA questions. In contrast, only 2% of women (6) answered correctly all six of the ART questions. Only 1 woman provided correct answers to all 13 correctly 13 questions (Figure 2 and Figure 3).
ART knowledge was only associated with three types of leading infertility diagnosis: male factor (3.10), ovulatory problems (3.57) and tubal factor (2.92). Women indicating a history of gynecological problems, showed a higher AMA knowledge (5.80). No influence was found of any other socio-economic factors on knowledge on AMA or ART (Table 4).

4. Discussion

To our knowledge this is the first prospective study to evaluate fertility knowledge and awareness among reproductive-age women attending a fertility clinic in Kazakhstan. This large and comprehensive survey has identified relevant knowledge gaps and misconceptions surrounding reproductive health and fertility [16]. Moreover, no significant associations were found in those gaps in knowledge, though, related to the socio-demographic or lifestyle variables that were analyzed in this work [17]. Only women who reported certain medical conditions associated with infertility or personal antecedents of gynecological problems were found to have a better knowledge of the expected benefits of infertility treatments and of the effect of advanced age on fertility, respectively.
Our results confirm findings from previous work conducted in Kazakhstan that showed how women’s health knowledge regarding reproductive health, labor, and delivery was low and needed attention [18]. Further, there is evidence that females in Kazakhstan do not have a clear understanding of the influence of age on the decline of fertility, and about the lower chances of conception at advanced ages [19]. This lack of knowledge is a significant barrier for informed decision making.
Since Malthus, the postponement of marriage and childbearing has been seen as a natural demographic response to economic hardships and social upheavals [20]. Infertility is a global health problem that affects millions, in high, middle, and low-income countries. Kazakhstan is one of the five Central Asian countries that achieved independence in 1991. The dramatic and generalized socioeconomic and political crisis that followed the collapse of the socialist system produced unique demographic responses in the former Soviet Union republics, including Kazakhstan. Although delayed fertility is not yet a significant problem in Kazakhstan, the trend towards delaying the age at first birth calls for the need to educate women and enhance awareness of the risk of age on fertility to have realistic expectations of the benefits of IVF is essential in counseling the patient who desires pregnancy.
Two variables of socio-economic level were considered in this study: income and education. Of both, only income appeared to have a non-significant effect on an increase in AMA knowledge but no for ART [21,22]. As for income, 30.9% of the sample reported income levels > 1 million tenge (2500 US$). The average salary in Kazakhstan in 2019 was 195 thousand tenge (≈$450) and 308 thousand tenge (≈$770) in Nur-Sultan. That means that our sample had a higher economic level than the average in the country and the city. ART is not fully covered by public health insurance in Kazakhstan (KZ), as the government only reimburses the costs of women’s out-of-pocket payments for some socially vulnerable groups; having financial resources to access a costly procedure did not have an impact on a higher awareness of the relationship between aging and fertility.
Level of education has been suggested as a strong determinant of socio-economic position in Kazakhstan [23]. 97% of our participants had at least a high school education, while this proportion is 85% overall in Kazakhstan. Although our sample may have a higher economic and educational level than the country average either an association with knowledge was identified.
In this study, women have a fair understanding of the influence of advanced age on infertility, as reflected by their responses in the AMA score. Nevertheless, they showed a significant lack of knowledge of ART that may reflect the high expectations that women had on the role and possibilities of IVF. Interestingly, women with certain infertility diagnoses [24,25] had a higher knowledge of ART [26]. Although overall AMA knowledge showed reasonable levels, it may be improved, as only one of the items (After age 35, it is harder to get pregnant) was correctly responded by more than 80% of women. ART levels of knowledge were overall too low, except for women who reported previous gynecological problems: only women with previous clinical disorders had a higher knowledge of infertility.
Although this study did not explicitly explore women’s expectations with IVF, the international literature on this topic is quite consistent with the low results in ART knowledge we identified: women’s expectations are much higher than real success rates [27]. The concept of chance and percentage does not seem to be clear to them; although, after a treatment failure their expectations are likely to be more real [28,29].
The majority of respondents in our study identify women’s health providers and the internet as their preferred source of information regarding their reproductive health and conception. Nevertheless, only women with certain gynecological and fertility conditions show higher knowledge. The lack of specific associations between knowledge and socio-economic and educational backgrounds indicates the need for comprehensive health education strategies to overcome this limited knowledge.
The Internet is a common source of fertility-related information. Social media is viewed as a potential effective avenue for dissemination of messages about fertility. In this study, there was no clear evidence yet that the use of internet applications was associated with improving women’s fertility knowledge [30]. The quality of the information available in the internet has raised some concerns as it may even have possible negative impacts [31]. Using appropriate channels in social media may also be tested to improve women’s knowledge. It is not absent of challenges, but health education has to be contextualized to the realities of younger generations. Further research is warranted to identify how to take advantage of internet applications to educate women about their own fertility.
Physicians have to be a critical source for improving women’s fertility knowledge [32]. Primary care professionals are in an ideal position to identify women at risk and initiate early investigations and treatments with the goal of optimizing patients’ fertility outcomes and quality of life [33]. Doctors should provide women with appropriate information on the effect on aging on the fecundity. Education and enhanced awareness of the effect of age on fertility is essential in counseling. These difficult conversations encourage women to take ownership of decisions related to future pregnancy plans while respecting their reproductive autonomy [34,35].
In a selected group of highly educated and with high economic status [36] Kazakh women attending a university medical center to receive specialized fertility treatment, there is a need to improve their low knowledge regarding the effects of age on fertility and on the benefits of ART. Studies conducted in other countries with regional links to Kazakhstan, have found similar results: limited awareness of the risk that age poses for reduced fertility and an overestimation of the chances of becoming pregnant, clearly reflecting complex factors that influence delayed childbearing [1,15,37,38,39].
Our work has some limitations related with the source of information, a convenience sample obtained from women referred both from urban as from several regional centers to UMC hospital, a tertiary care university-affiliated center, located in Nur-Sultan, the capital city, for receiving infertility diagnosis and treatment, that have to be considered to interpret these results. Our sample cannot be considered to be representative of the whole Kazakhstan population of women, only of those participating in the survey, a convenience sample which is probably biased having a more educated and more affluent group of participating women. It may be then hypothesized that existing knowledge and awareness of fertility would not be higher overall in the country than what was identified in our study.
Another limitation is that no information on women’s residence or ethnic origin was collected. Kazakhstan is a large, diverse, and multi-ethnic country, and still faces a rural–urban health divide. A wide range of cultural, behavioral, religious, and other peculiarities may influence women’s reproductive behavior and reflect different phases of demographic transition among the different ethnic groups. Urban residence has been found in Kazakhstan to be associated with a higher awareness, treatment and control of chronic conditions, suggesting a role of urbanized lifestyle and access to health care [40]. Health knowledge and values may be different among those populations. It is relevant to mention that women who reported obtaining fertility information from their family were the only variable associated with lower AMA knowledge.

5. Conclusions

This work found low levels of knowledge of the effect of age on fertility as well as very low knowledge regarding the expected benefits of assistive technologies. Increased knowledge about reproduction is essential to enable women to make informed choices, avoiding unwanted pregnancies, preserving fertility, and enhancing preconception health. Health education regarding fertility has to be part of broader health promotion programs aimed towards women and men, in which overall healthy lifestyles choices are promoted, including healthy eating and active behavior, avoiding smoking and alcohol, as well as advising on taking prenatal vitamin with folic acid. These interventions would have to combine both targeting social media as well as healthcare settings and should be integrated across levels of care and clinical settings, allowing ongoing patient communication and timely follow-up, which have been identified as barriers when accessing specialist fertility care and ensuring people have a realistic view of fertility treatment from the start.

Author Contributions

Conceptualization: M.T., J.K., S.T. and G.U.; methodology: G.U., G.B., J.K. and F.S.; data management: F.S.; statistical analysis: A.S.-S.; data review: A.S.-S., F.S., S.T. and G.A.; literature review: J.K., S.T., M.T. and A.S.-S.; writing original manuscript: A.S.-S.; editing: M.T. and G.A. All authors have read and agreed to the published version of the manuscript.


This research received no external funding.


The authors would like to acknowledge the NRCMCH UMC and Nazarbayev University School of Medicine for the support that enabled completion on this article.

Conflicts of Interest

The authors declare no conflict of interest.


  1. Pedro, J.; Brandão, T.; Schmidt, L.; Costa, M.E.; Martins, M.V. What do people know about fertility? A systematic review on fertility awareness and its associated factors. Upsala J. Med. Sci. 2018, 123, 71–81. [Google Scholar] [CrossRef] [Green Version]
  2. Goldstein, J.R.; Sobotka, T.; Jasilioniene, A. The end of “lowest-low” fertility? Population and development review. Popul. Dev. Rev. 2009, 35, 663–699. [Google Scholar] [CrossRef]
  3. Mills, M.; Rindfuss, R.R.; McDonald, P.; te Velde, E.; ESHRE Reproduction and Society Task Force. Why do people postpone parenthood? Reasons and social policy incentives. Hum. Reprod. Update 2011, 17, 848–860. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. Billari, F.C.; Liefbroer, A.C.; Philipov, D. The postponement of childbearing in Europe: Driving forces and implications. JSTOR 2006, 4, 1–17. [Google Scholar] [CrossRef]
  5. Bailey, M.J. More power to the pill: The impact of contraceptive freedom on women’s life cycle labor supply. Q. J. Econ. 2006, 121, 289–320. [Google Scholar]
  6. Leridon, H. Can assisted reproduction technology compensate for the natural decline in fertility with age? A model assessment. Hum. Reprod. 2004, 19, 1548–1553. [Google Scholar] [CrossRef] [PubMed]
  7. Peterson, B.D.; Pirritano, M.; Tucker, L.; Lampic, C. Fertility awareness and parenting attitudes among American male and female undergraduate university students. Hum. Reprod. 2012, 27, 1375–1382. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  8. Lampic, C.; Svanberg, A.S.; Karlström, P.; Tydén, T. Fertility awareness, intentions concerning childbearing, and attitudes towards parenthood among female and male academics. Hum. Reprod. 2006, 21, 558–564. [Google Scholar] [CrossRef] [Green Version]
  9. Bretherick, K.L.; Fairbrother, N.; Avila, L.; Harbord, S.H.; Robinson, W.P. Fertility and aging: Do reproductive-aged Canadian women know what they need to know? Fertil. Steril. 2010, 93, 2162–2168. [Google Scholar] [CrossRef]
  10. Ministry of Healthcare and Social Development of the Republic of Kazakhstan. Kazakhstan Family Planning National Framework Program 2017–2021; Ministry of Healthcare and Social Development of the Republic of Kazakhstan: Nur-Sultan, Kazakhstan, 2016.
  11. Fertility Rate, Total (Births per Woman)—Kazakhstan. Available online: (accessed on 5 May 2020).
  12. Available online: (accessed on 5 May 2020).
  13. Lokshin, V.N.; Khoroshilova, I.G.; Kuandykov, E.U. Personified approach to genetic screening of infertility couples in ART programs. Rep. Natl. Acad. Sci. Repub. Kazakhstan 2018, 1, 37–41. [Google Scholar]
  14. García, D.; Vassena, R.; Trullenque, M.; Rodríguez, A.; Vernaeve, V. Fertility knowledge and awareness in oocyte donors in Spain. Patient Educ. Couns. 2015, 98, 96–101. [Google Scholar] [CrossRef] [PubMed]
  15. Mahey, R.; Gupta, M.; Kandpal, S.; Malhotra, N.; Vanamail, P.; Singh, N.; Kriplani, A. Fertility awareness and knowledge among Indian women attending an infertility clinic: A cross-sectional study. BMC Women’s Health 2018, 18, 177. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  16. Evans, A.; de Lacey, S.; Tremellen, K. Australians’ understanding of the decline in fertility with increasing age and attitudes towards ovarian reserve screening. Aust. J. Prim. Health 2018, 24, 428–433, Erratum in 2019, 25, 97. [Google Scholar]
  17. Gossett, D.R.; Nayak, S.; Bhatt, S.; Bailey, S.C. What do healthy women know about the consequences of delayed childbearing? J. Health Commun. 2013, 18 (Suppl. 1), 118–128. [Google Scholar] [CrossRef]
  18. Buckley, C.; Barrett, J.; Adkins, K. Reproductive health information for young women in Kazakhstan: Disparities in access by channel. J. Health Commun. 2008, 13, 681–697. [Google Scholar] [CrossRef]
  19. Utepova, G.; Terzic, M.; Bapayeva, G.; Terzic, S. Investigation of understanding the influence of age on fertility in Kazakhstan: Reality the physicians need to face in IVF clinic. Clin. Exp. Obstet. Gynecol. 2019, 46, 461–465. [Google Scholar]
  20. Agadjanian, V. Post-soviet demographic paradoxes: Ethnic differences in marriage and fertility in Kazakhstan. Sociol. Forum 1999, 14, 425–446. [Google Scholar] [CrossRef]
  21. Available online: (accessed on 5 May 2020).
  22. Available online: (accessed on 5 May 2020).
  23. Supiyev, A.; Nurgozhin, T.; Zhumadilov, Z.; Sharman, A.; Marmot, M.; Bobak, M. Levels and distribution of self-rated health in the Kazakh population: Results from the Kazakhstan household health survey 2012. BMC Public Health 2014, 14, 768. [Google Scholar] [CrossRef] [Green Version]
  24. Sylvest, R.; Koert, E.; Vittrup, I.; Petersen, K.B.; Hvidman, H.W.; Hald, F.; Schmidt, L. Men’s expectations and experiences of fertility awareness assessment and counseling. Acta Obstet. Gynecol. Scand. 2018, 97, 1471–1477. [Google Scholar] [CrossRef] [Green Version]
  25. Righarts, A.; Dickson, N.P.; Parkin, L.; Gillett, W.R. Ovulation monitoring and fertility knowledge: Their relationship to fertility experience in a cross-sectional study. Aust. N. Z. J. Obstet. Gynaecol. 2017, 57, 412–419. [Google Scholar] [CrossRef]
  26. Hawkins, L.K.; Rossi, B.V.; Correia, K.F.; Lipskind, S.T.; Hornstein, M.D.; Missmer, S.A. Perceptions among infertile couples of lifestyle behaviors and in vitro fertilization (IVF) success. J. Assist. Reprod. Genet. 2014, 31, 255–260. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  27. O’Brien, Y.M.; Ryan, M.; Martyn, F.; Wingfield, M.B. A retrospective study of the effect of increasing age on success rates of assisted reproductive technology. Int. J. Gynaecol. Obstet. 2017, 138, 42–46. [Google Scholar] [CrossRef] [PubMed]
  28. Kudesia, R.; Chernyak, E.; McAvey, B. Low fertility awareness in United States reproductive-aged women and medical trainees: Creation and validation of the Fertility & Infertility Treatment Knowledge Score (FIT-KS). Fertil. Steril. 2017, 108, 711–717. [Google Scholar] [PubMed] [Green Version]
  29. Kearney, A.L.; White, K.M. Examining the psychosocial determinants of women’s decisions to delay childbearing. Hum. Reprod. 2016, 31, 1776–1787. [Google Scholar] [CrossRef] [PubMed]
  30. Ford, E.A.; Roman, S.D.; McLaughlin, E.A.; Beckett, E.L.; Sutherland, J.M. The association between reproductive health smartphone applications and fertility knowledge of Australian women. BMC Women’s Health 2000, 20, 45. [Google Scholar] [CrossRef]
  31. Zillien, N.; Haake, G.; Fröhlich, G.; Bense, T.; Souren, D. Internet use of fertility patients: A systematic review of the literature. J. Reprod. Endokrinol. 2011, 8, 281–287. [Google Scholar]
  32. Skogsdal, Y.; Fadl, H.; Cao, Y.; Karlsson, J.; Tydén, T. An intervention in contraceptive counseling increased the knowledge about fertility and awareness of preconception health-a randomized controlled trial. Upsala J. Med. Sci. 2019, 124, 203–212. [Google Scholar] [CrossRef] [Green Version]
  33. Fooladi, E.; Weller, C.; Salehi, M.; Abhari, F.R.; Stern, J. Using reproductive life plan-based information in a primary health care center increased Iranian women’s knowledge of fertility, but not their future fertility plan: A randomized, controlled trial. Midwifery 2018, 67, 77–86. [Google Scholar] [CrossRef]
  34. Liu, K.E.; Case, A. No. 346-Advanced Reproductive Age and Fertility. J. Obstet. Gynaecol. Can. 2017, 39, 685–695. [Google Scholar] [CrossRef] [PubMed]
  35. Delbaere, I.; Verbiest, S.; Tydén, T. Knowledge about the impact of age on fertility: A brief review [published online ahead of print, 22 January 2020]. Upsala J. Med. Sci. 2020, 125, 1–8. [Google Scholar] [CrossRef] [PubMed]
  36. Klitzman, R. Impediments to communication and relationships between infertility care providers and patients. BMC Womens Health. 2018, 18, 84. [Google Scholar] [CrossRef] [PubMed]
  37. Behboudi-Gandevani, S.; Ziaei, S.; Farahani, F.K.; Jasper, M. The perspectives of iranian women on delayed childbearing: A qualitative study. J. Nurs. Res. 2015, 23, 313–321. [Google Scholar] [CrossRef] [PubMed]
  38. Behboudi-Gandevani, S.; Ziaei, S.; Khalajabadi-Farahani, F.; Jasper, M. Iranian primigravid women’s awareness of the risks associated with delayed childbearing. Eur. J. Contracept. Reprod. Health Care. 2013, 18, 460–467. [Google Scholar] [CrossRef] [PubMed]
  39. Mustafa, G.; Azmat, S.K.; Hameed, W.; Ali, S.; Ishaque, M.; Hussain, W.; Ahmed, A.; Munroe, E. Family planning knowledge, attitudes, and practices among married men and women in rural areas of pakistan: findings from a qualitative need assessment study. Int. J. Reprod. Med. 2015, 2015, 190520. [Google Scholar] [CrossRef] [Green Version]
  40. Supiyev, A.; Kossumov, A.; Kassenova, A.; Nurgozhin, T.; Zhumadilov, Z.; Peasey, A.; Bobak, M. Diabetes prevalence, awareness and treatment and their correlates in older persons in urban and rural population in the Astana region, Kazakhstan. Diabetes Res. Clin. Pract. 2016, 112, 6–12. [Google Scholar] [CrossRef] [Green Version]
Figure 1. Distribution of values of Total Knowledge Score.
Figure 1. Distribution of values of Total Knowledge Score.
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Figure 2. Distribution of values of AMA score. AMA: Knowledge of the effect of Advanced Maternal Age on pregnancy outcomes.
Figure 2. Distribution of values of AMA score. AMA: Knowledge of the effect of Advanced Maternal Age on pregnancy outcomes.
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Figure 3. Distribution of values of ART Knowledge. ART: Knowledge of the success of Assisted Reproductive Techniques.
Figure 3. Distribution of values of ART Knowledge. ART: Knowledge of the success of Assisted Reproductive Techniques.
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Table 1. Socio-demographic and clinical characteristics of the sample analyzed.
Table 1. Socio-demographic and clinical characteristics of the sample analyzed.
Socio-Demographic and Clinical VariablesFrequency%
Duration of infertility<3 Years6628.0
3–5 Years4418.6
>5 Years11548.7
Fertility diagnosisAge factor229.3
Male factor5021.2
High school5323.1
Income (Tenge)<500,0009943.0
0.5–1 million6026.1
1–2 million3816.5
>2 million3314.3
Source of information on fertility and pregnancyInternet10745.3
When started planning pregnancy<2510445.0
Table 2. Reported behavior and lifestyles of analyzed sample.
Table 2. Reported behavior and lifestyles of analyzed sample.
Behavior and Lifestyles VariablesFrequency%
ExerciseNo exercise14159.5
<1 h a week3916.5
1–3 h a week4719.8
>4 h a week104.2
YogaOnce a week20189.3
2–6 times a week156.7
7 days a week94.0
Rest afterNormal activity8137.2
Limiting strenuous activity and exercise10648.6
Complete bed rest3114.2
Rest before (man)Normal activity2651.0
Limiting strenuous activity and exercise2243.1
Complete bed rest35.9
Normal weight15063.6
StressAvoiding stress14059.3
Having stress9640.7
PrayerEngaging in prayer15566.0
No prayer8034.0
Cellular phoneLimited use5021.4
Regular use18478.6
SmokingNot smoking21189.4
<5 years198.1
>5 years62.5
Table 3. Knowledge about fertility and reproductive technologies: correct responses and percentage of women with correct answers.
Table 3. Knowledge about fertility and reproductive technologies: correct responses and percentage of women with correct answers.
Knowledge Score Frequency%
AMA Score
Miscarriage is less after 35 common after 35 years oldFalse16369.1
Women are healthier during pregnancy because they are more mature after 35 years oldFalse16770.8
It is harder to get pregnant after 35 years oldCorrect19984.7
Cesarean section is more common after 35 years oldCorrect17173.7
Stillbirths/fetal deaths are less common after 35 years oldFalse16069.6
The risk of genetic problems in the baby is higher after 35 years oldCorrect14863.5
Women have more medical problems during pregnancy after 35 years oldCorrect17674.6
After infertility treatment, miscarriage rates are higherCorrect8335.8
ART Score
Women have fewer problems like diabetes and high blood pressure after infertility treatmentFalse13659.1
Cesarean section is more common after infertility treatmentCorrect13859.7
Stillbirths/fetal deaths are more common after infertility treatment Correct6528.3
There are more twins and triplets after infertility treatmentCorrect15968.8
The risk of genetic problems in the baby is higher after infertility treatmentCorrect6427.7
AMA: Knowledge of the effect of Advanced Maternal Age on pregnancy outcomes; ART: Knowledge of the success of Assisted Reproductive Techniques.
Table 4. Values of Knowledge Scores, TKS, AMA, and ART.
Table 4. Values of Knowledge Scores, TKS, AMA, and ART.
Socio-Demographic and Clinical VariablesTKSAMAART
Mean 7.714.992.62
DiagnosisAge factor7.234.862.36
Male factor8.24 *5.143.10 *
Ovulatory8.90 *5.333.57 *
Tubal7.584.662.92 *
Source of informationInternet7.905.122.78
Duration of infertility<3 Years7.624.892.73
3–5 Years8.075.182.89
>5 Years7.644.992.65
High school7.815.062.75
Income (Tenge)<500,0007.724.862.87
0.5–1 million7.335.002.33
1–2 million8.055.212.84
>2 million8.095.122.97
Medical historyNone7.534.902.63
One or more IVF7.194.572.62
History of gynecologic problems8.305.80 *2.50
Ovarian surgery7.945.502.44
When started planning a pregnancy<257.614.952.66
TKS: Total Knowledge Score; AMA: Knowledge of the effect of Advanced Maternal Age on pregnancy outcomes; ART: Knowledge of the success of Assisted Reproductive Techniques. *: p < 0.05.
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MDPI and ACS Style

Sarría-Santamera, A.; Bapayeva, G.; Utepova, G.; Krstic, J.; Terzic, S.; Aimagambetova, G.; Shauyen, F.; Terzic, M. Women’s Knowledge and Awareness of the Effect of Age on Fertility in Kazakhstan. Sexes 2020, 1, 60-71.

AMA Style

Sarría-Santamera A, Bapayeva G, Utepova G, Krstic J, Terzic S, Aimagambetova G, Shauyen F, Terzic M. Women’s Knowledge and Awareness of the Effect of Age on Fertility in Kazakhstan. Sexes. 2020; 1(1):60-71.

Chicago/Turabian Style

Sarría-Santamera, Antonio, Gauri Bapayeva, Gulnara Utepova, Jelena Krstic, Sanja Terzic, Gulzhanat Aimagambetova, Fariza Shauyen, and Milan Terzic. 2020. "Women’s Knowledge and Awareness of the Effect of Age on Fertility in Kazakhstan" Sexes 1, no. 1: 60-71.

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