Fertility has always been an important concept in the mind of the Iranian people and many other nations. People’s eagerness and intention to have children is one of the most important components in the development of societies. Childbearing is considered an axis for the sustainable development of underdeveloped and, especially, developing countries. Considerable changes across the world during recent years have resulted in a decrease in the rate of fertility. The reduced rate of fertility around the world can be attributed to families’ higher costs of living, higher age of marriage, economic problems, one child policy, a lower motivation to have children, etc. Since 2016, Iran has experienced the crisis of severely decreased fertility and population. One of the most important indices for population, the growth rate, has been on a decreasing trend in Iran in the 2010’s.
According to researches, childbearing in Iran reduced to 1,196000 cases in 2019. This descending trend, along with the unimplemented regulations regarding population increase and infertility treatment subsidization, and the general population policies will be challenging for Iran in future decades. A lower motivation for childbearing is associated with consequences such as lacking or decreased economic growth or development, population aging and lack of happiness, social vulnerabilities, disrupted socialization and communications of children in under populated families, the mental and psychological problems of the future generation, higher health care costs of the elderly, a weaker national defense force, and decreased youth population and, even, human extinction.
Motivation is an internal force that stimulates one’s certain behavior. Childbearing is a willful act in which motivation plays a direct role. Sociologists and behaviorists have referred to the role of motivations in explaining human behavior. Today, Iranian couples’ thoughts and attitudes regarding childbearing has changed. It is said that fertility motivation has two components; one results in spouse selection and sexualized behavior, and the other leads to the keeping and raising of children. Researchers suggested that people have different levels of fertility motivations, meaning personal reasons for having children.
Mansourain and Khoshnevis have reported that the parents’ insistence on a certain sex for their future children is one factor that influences their desire for fertility. Khadivzade et al. have suggested that the spouses’ interactions, conditions and circumstances, their family interactions, and background factors such as religiosity determine their preferences and motivations for fertility. Piltan and Rahmanian have indicated that the most important factor is the spouses’ fertility motivation and that the current problem and major concern of policymakers is change in spouses’ ideals, desires, and motivations. The development of modern family patterns has been accompanied by dramatic changes in gender relations, also known as the gender revolution. Women have entered the public sphere. Interestingly, around 1985, male and female unemployment caused a sharp decline in fertility, but in later years and around 2006, this relationship changed so that working women gave birth to fewer children.
Studies also show a negative relationship between women’s employment and fertility.[15–17] Most researches on modern demographic trends, especially fertility and related topics, and changes in norms and gender relations have focused on women. However, if the fertility is to be assessed, we need to also study men, and not necessarily as a member of a couple given modern partnership patterns, as well as possible gender differences in parental and other aspirations. In addition, studies have shown that men’s childbearing desires and intentions influence births in couples with equal force to that of women’s desires and intentions. Despite the well-established role of men’s fertility motivations in the rate of childbearing, to the best of our knowledge, no quantitative study has been conducted on fertility desire and childbearing in women and their spouses in Iran. Thus, the present study was conducted with the aim to explore the fertility motivation of Working women and their husbands and discover which one determines the number of children.
Materials and Methods
This correlational article is part of the thesis “The relationship between “work-family conflict” with “couples’ relationship quality” and” fertility motivation” in women’s employed and their spouses in Mashhad City, Iran.” This correlational study included 540 married women (working at administrative-monetary, health care and treatment, education and training, and service sectors) and their spouses, who were living in Mashhad, Iran, and had 1 or 2 children between 2017 (April) and 2018 (August). The married, working women who met the following criteria were included in the study: providing a written consent of participation, not having any incurable physical or sexual diseases, having two children, being at the reproductive age of 18–49 years, not having any psychological disorders, currently living with the husband, not having a history of drug, alcohol, or psychedelic drugs abuse, not experiencing any traumatic events during the last three months, and not having a history of divorce. The husbands’ inclusion criteria were no incurable physical or sexual diseases, no psychological disorders, no history of drug, alcohol, or psychedelic drugs abuse, no experience of traumatic events during the last three months, no history of infertility, and monogamy. The samples were selected through multi-stage clustering method and included hospitals, health centers, schools, colleges, and offices. Then, a random number table was used, and after selecting the required number of samples, questionnaires were distributed and were collected after 24 h. The 75 subjects who returned incomplete questionnaires or cancelled their participation were excluded from the study. However, due to the impossibility of changing the sample size, sampling was repeated to reach the required sample size. Sample size was determined based on the study by Young et al. The correlation of the two quantitative variables is shown with r. As a result, we considered a larger sample for the present study, and according to the sampling method, the sample size tripled. Therefore, the final sample size was 540 people (270 couples)−1 ≤ r ≤ +1 and r = 0.75). The study instruments included a demographic characteristics form and the Childbearing Questionnaire (CBQ). The demographic characteristics form includes 52 questions. This form was used to measure contextual and intervention variables, the effect of which has been controlled in this study, and includes 50 closed questions and 2 open questions. This questionnaire was completed by working women. To determine the validity of the demographic information questionnaire as well as the research unit selection questionnaire, content and face validity were determined through the study of valid sources which were compiled under the supervision of the supervisor, and then, evaluated by 10 faculty members and expert professors. After considering the suggestions and reforms, the final tool was prepared and used.
The CBQ was developed by Miller in 1995 and includes 49 items. It is organized in two parts, each one with a separate score. The items are scored based on a Likert scale ranging from 1 (absolutely disagree) to 4 (absolutely agree). Therefore, each subject has two scores related to positive and negative fertility motivations. The positive motivations part includes 28 statements on 1) joys of pregnancy, birth, and infancy, 2) traditional parenthood, 3) satisfactions of childrearing, 4) feeling needed and connected, and 5) instrumental abuse of children. The minimum and maximum total score of this part is 28 and 112, respectively. The negative motivations part includes 21 statements on 1) fears and worries of parenthood, 2) parental stress, 3) the negatives of child care, and 4) discomforts of pregnancy and childbirth. The minimum and maximum total scores of this part are 21 and 84, respectively. Miller et al. merged these two parts and introduced new concepts by which individuals are grouped into four categories: 1) pronatalist: people with a positive motivations score of higher than the average score and negative motivations score of lower than average; 2) antinatalist: people with a positive motivations score of lower than the average score and a negative motivations score of higher than average; 3) ambivalent: people with positive and negative motivations scores of higher than the average score; and 4) indifferent: people with positive and negative motivations scores of lower than the average score.[19,20]
Validity of Miller Reproductive Motivation Questionnaire was assessed by Kordzanganeh et al. The reliability of the CBQ was determined using Cronbach’s alpha in SPSS software (version 24, IBM Corp., Armonk, NY, USA); it was 0.90 and 0.93 for women and their spouses, respectively. This questionnaire was studied and localized by Khadivzade et al. After coordinating with the respective units, subjects were selected based on the study inclusion criteria. First, a list of working women living in Mashhad was obtained from the Planning and Budget Organization and Labor and Social Welfare Office. Sampling was performed in the presence of a researcher at the workplace of working women and by receiving the list of names of employees. Subjects were selected from the list using a random number table. All subjects were informed of the aim of the study. After signing a written consent to participation, they were provided with the questionnaires to fill in with their spouses.
Samples were selected through multi-stage clustering method. The clusters included 6 hospitals from 15 regions, 3 health centers from 6 regions, 10 schools from 6 regions, 5 colleges from 15 regions, and 10 offices from 20 regions. A random number table was used, and after obtaining the required number of samples, questionnaires were distributed and were collected after 24 h.
The gathered data were coded and imported into the computer, and after ensuring their correctness, were analyzed in SPSS software. The normal distribution of data was determined using Kolmogorov-Smirnov test. Parametric statistical tests were used for normally distributed data, and non-parametric tests were used for non-normally distributed data. Demographic and personal information are presented as average, standard deviation, and frequency [Table 1]. The Pearson correlation coefficient was used to determine the correlation between Miller’s fertility motivations and independent t test was used to compare the means of the main variables.
At the beginning of the study, the objectives of the study were explained to the couples, and all the participants signed a written informed consent form. The ethics committee of Mashhad University of Medical Sciences issued a license for this study and the School of Nursing and Midwifery of this university provided an introduction letter (Number: IR.MUMS.REC.1396.84). The couples were assured of the confidentiality of the collected data and were informed of the right to refuse participation in the study or withdraw at any time from the study with no consequences.
In total, 540 subjects (270 couples) including 270 women [mean (SD) age: 34.46 (6.61) years] and 270 men [mean (SD) age: 38.15 (6.97) years] participated in this study. Age at marriage in women was 22.61 (4.46) years and in men 22.49 (4.79) years. Occupational experience in women was 9.08 (7.51) years and in men was 13.57 (7.90) years. Weekly working hours in women was 43.4 (17.28) h and in men was 41.57 (23.84) h. The other demographic information of the participants are presented in Table 1. The data on the working women are presented in Table 2.
The couples’ income level was enough to make a living (65.20%). Moreover, most of the couples had currently one (39.60%) or two (76.70%) children. Almost half of the working women (50.0%) were benefiting from 113 h of their spouse’s assistance (43.70%), 10 h of their mother’s assistance (3.70%), 3 h of their sister’s or nanny’s assistance (1.10%), and 2 h of other peoples’ assistance (0.70%) on a weekly basis; 4 women did not respond to this question. Some women (28.5%) had independent children who were capable of self-care and 4 women provided no answer to this question. Of the subjects, 47.40% stated that their desired number of children is two. The working women reported that the most important problems of childbearing are related to economic problems (50.40%) and women’s job status (15.60%). In addition, 6.30% suggested that delayed age of marriage influenced the reduced rate of fertility.
The current number of children showed a significant positive correlation with the working women’s age (r = 0.44; p = 0.001), the spouse’s age (r = 0.45; p = 0.001), duration of marital life (r = 0.60; p = 0.020), occupational experience (r = 0.32; p = 0.001), and the spouse’s occupational experience (r = 0.32;p = 0.001), and a significant negative correlation with the working women’s age at marriage (p = 0.090; r = −0.16), the spouse’s age at marriage (r = −0.14; p = 0.140), and women’s and their spouses’ working hours per week (rw = 0.23; p = 0.001; rm = 0.12). The desired number of children only showed a significant relationship with the spouse’s age (r = 0.13; p = 0.030). These results were obtained using Spearman’s correlation.
The subjects’ highest and lowest scores in positive fertility motivations are 112 and 28, respectively [Table 3]. There was a significant difference between women and men in terms of positive motivations (p = 0.001). Statistical analysis indicated a significant relationship between the couples’ positive motivations and their current number of children (p = 0.008) and total number of children (p = 0.008). One standard deviation added to the positive motivations score would increase the couples’ current and total number of children by 0.2 and 0.22 units. Moreover, the number of pregnancies and access to assistance at home would predict the working women’s positive fertility motivations (p = 0.005). It may be interpreted that one standard deviation added to the score of having access to assistance at home would increase the women’s positive motivations to pregnancy by 0.15 units. Furthermore, one standard deviation added to the number of pregnancies would increase the women’s positive motivations for fertility by 0.17 units.
The subjects’ highest and lowest scores in negative fertility motivations were 165 and zero, respectively [Table 4]. There was a significant difference between women and men in terms of negative fertility motivations (p = 0.001). Return to work after 1st childbirth significantly predicted working women’s negative fertility motivations (p = 0.03). It may be said that one standard deviation added to this score would increase the woman negative fertility motivations by 0.14 units.
The results showed that among the 270 working women, 78, 56, 77, and 59 women were pronatalist, antinatalist, ambivalent, and indifferent to fertility, respectively. In addition, of the 270 husbands who participated in the study, 66, 66, 64, and 74 men were pronatalist, antinatalist, ambivalent, and indifferent to fertility, respectively.
This research was conducted to determine whether it is the female or male fertility motivations that influence the number of children of working women and their husbands living in Mashhad. The subjects’ positive fertility motivations showed a significant relationship with the current number of children, desired number of children, access to assistance at home, and number of pregnancies. The results of this study show a significant difference between positive motivations in couples with childbearing desire and the number of children, which is consistent with the study by Miller et al. in America. In addition, a study reported that with increase in positive fertility motivations, the number of desired children increased. The results of a research in Iran are consistent with the present study, which can be due to the similar cultural contexts of these studies.
In addition, researchers showed that childbearing is affected by various factors, including the participation of couples in household chores, which is consistent with the results of this study. According to the results of these studies, it can be concluded that one of the factors that can strengthen positive fertility motivation is having help with household chores.
In this study, no correlation was observed between positive fertility motivation and the interval between marriage and the birth of the first child. A study conducted in Iran in 2013 indicated that most couples tend to prolong the duration between marriage and the first childbirth. The difference in the results of these studies could be due to the difference in the age of the participants.
The results of our study showed that negative fertility motivation was only significantly associated with returning to work after the first delivery. However, the study by Miller et al., which was a comparative quantitative study, showed that with increase in negative fertility motivations, couples’ desire to have children and the number of desired children decreased and the duration between the births of the children increased. This inconsistency between the results of these two studies can be due to cultural and social differences; it seems that couples’ desire for childbearing and fertility motivations are influenced by personal motivations, social interactions, and traditional thinking. Even if there is a negative motivation, due to social and psychological pressure from those around them, couples prefer to have a certain number of children.
One of the strengths of this study is that it was performed for the first time in Iran, and it is one of the few studies in the world that has quantitatively assessed the issue of fertility motivations in working women and their husbands. This study may be a basis for future researches on childbearing constraints and men’s role in fertility. A limitation of this study was that it was conducted among the working women living in Mashhad and their husbands. To obtain more accurate results for planning healthcare programs, it is recommended that this study be conducted across a wider area, in different cities and different groups of women and their spouses. Furthermore, it is recommended that future researches explore the effects of the couples’ relationship on their motivation to have children.
This study was conducted to examine the fertility motivations of working women and their husbands and showed that positive fertility motivations could be associated with increase in the number of children. In Iran, one of the reasons for negative fertility motivations is returning to work after childbirth, which is expected to reduce the concern of caring for women on leave; hiring a babysitter or setting up a daycare center at work can be a solution. The results of this study can help reproductive health policymakers in childbearing.
Financial support and sponsorship
Mashhad University of Medical Sciences
Conflicts of interest
Nothing to declare.
We would like to thank all those who participate in this study.
1. Seyedtabib M, Moghimbeigi A, Mahmoudi M, Majdzadeh R, Mahjub H Pattern and determinant factors of birth intervals among Iranian women:A semi-parametric multilevel survival model. J Biosoc Sci 2020;52:534–46.
2. Jonas K, Crutzen R, Krumeich A, Roman N, van den Borne B, Reddy P Healthcare workers'beliefs, motivations and behaviours affecting adequate provision of sexual and reproductive healthcare services to adolescents in Cape Town, South Africa:A qualitative study. BMC Health Serv Res 2018;18:109 doi:10.1186/s12913-018-2917-0.
3. Astrachan JH, Binz Astrachan C, Campopiano G, Baù M Values, spirituality and religion:Family business and the roots of sustainable ethical behavior. J Busin Ethics 2020;163:637–45.
4. Naz MSG, Ozgoli G, Sayehmiri K Prevalence of infertility in Iran
:A systematic review and meta-analysis. Urol J 2020;17:338–45.
5. Duvander A-Z, Fahlén S, Brandén M, Ohlsson-Wijk S Who makes the decision to have children?Couples'childbearing intentions and actual childbearing. Adv Life Course Res 2020;43:100286.
6. Alexander KA, Perrin N, Jennings JM, Ellen J, Trent M Childbearing motivations and desires, fertility
beliefs, and contraceptive use among urban African-American adolescents and young adults with STI histories. J Urban Health 2019;96:171–80.
7. Ghazanfarpour M, Arghavani E, Khadivzadeh T, Saeidi M, Kareshki H, Irani M, et al. Childbearing motivation
in Iranian engaged couples:A structural equation model. Int J Pediatr 2018;6:7563–8.
8. Mynarska M, Rytel J Fertility
desires of childless poles:Which childbearing motives matter for men and women?. J Fam Issues 2020;41:7–32.
9. Miller WB, Jones J, Pasta DJ An implicit ambivalence-indifference dimension of childbearing desires in the National Survey of Family Growth. Demographic Res 2016;34:203–42.
10. McCool-Myers M, Theurich M, Zuelke A, Knuettel H, Apfelbacher C Predictors of female sexual dysfunction:A systematic review and qualitative analysis through gender inequality paradigms. BMC Women Health 2018;18:108 doi:10.1186/s12905-018-0602-4.
11. Khadivzade T, Arghavani E Religious beliefs and fertility
preferences among engaged couples, referring to premarital counseling centers of Mashhad, Iran
. J Midwifery Reprod Health 2014;2:238–45.
12. Piltan F, Rahmanian M Sociological study of factors affecting willingness to childbearing women and married men (Case study:Women and men 52 to 52 years old in Jahrom). Soc Dev Stud 2015;7:121–34.
13. Okun BS, Raz-Yurovich L Housework, gender role attitudes, and couples'fertility
intentions:Reconsidering men's roles in gender theories of family change. Populat Dev Rev 2019;1:169–96.
14. Abasi Z, Keshavarz Z, Abbasi-Shavazi MJ, Ebadi A, Esmaily H, Poorbarat S Comparative study of reproductive behaviors in two ethnicities of fars and Turkmen in North Khorasan, Iran
. J Midwifery Reprod Health 2022;10:3109–18.
15. Tonekaew P, Choiejit R The short run and long run relationship among fertility
and female labor force participation rate and childcare availability. J Busin Econ Communic 2022;17:99–118.
16. Desai A, Singh R, Bhatt S Alignment of role spaces of women to achieve work-home equilibrium?A timeline study In India. J Positi Sch Psychol 2022;6:6849–74.
17. Alderotti G Female employment and first childbirth in Italy:What news?Genus 2022;78:1–19.
18. Young M, Milkie MA, Schieman S Mother–father parity in work–family conflict?The importance of selection effects and nonresponse bias. Social Forces 2022 doi:10.1093/sf/soac015.
19. Langher V, Fedele F, Caputo A, Marchini F, Aragona C Extreme desire for motherhood:Analysis of narratives from women undergoing assisted reproductive technology (ART). Eur J Psychol 2019;15:292–311.
20. Miller WB, Millstein SG, Pasta DJ The measurement of childbearing motivation
in couples considering the use of assisted reproductive technology. Biodemogr Social Biol 2008;54:8–32.
21. Kordzanganeh J, Mohamadian H Psychometric assessment of the validity of the Iranian version of attitude toward fertility
and childbearing inventory in women without a history of pregnancy in the South of Iran
. J Sch Public Health Instit Public Health Res 2019;17:83–94.
22. Arasteh A, Akbariyan A, Asadi F Comparing factors influencing fertility
desire among urban and rural families referring to healthcare centers in Ferdows, Iran
, in 2020. Int J Epidemiol Res 2022;9:107–12.
23. Khadivzadeh T, Roudsari RL, Bahrami M, Taghipour A, Shavazi JA The influence of social network on couples'intention to have the first child. Iran
J Reprod Med 2013;11:209–18.