Skip to main content

Toward sustainable development goals in gender inequality: an analysis of gender preferences among urban pregnant women in a Southeast Asian country



Gender-biased discrimination and preferences are global phenomena, particularly son preferences. However, updated evidence about this issue in Vietnam has not yet been provided. Therefore, this study aimed to examine the gender preferences among pregnant women and identify associated factors of such preferences.


A cross-sectional survey was conducted in two hospitals in Vietnam with 732 pregnant women. Gender preferences for their child were asked, along with socio-demographic (e.g., education, occupation) and pregnancy characteristics (e.g., pressure to have a son, gender of first child, the importance to have a son of family members, and information sources on pregnancy care) by using face-to-face interviews and a structured questionnaire. Multinomial logistic regression was performed to determine factors associated with gender preferences.


About 51.9% of the participants had no gender preference, while, among those who had a gender preference, 26.5% preferred sons, and 21.6% preferred daughters. Only 6.2% had pressure to have a son. Having the first child who was female (OR = 4.16, 95%CI = 1.54–11.25), having the pressure to have a son (OR = 6.77, 95%CI = 2.06–22.26), and higher self-perceived importance to have a son (OR = 3.05, 95%CI = 1.85–5.02) were positively associated with son preference. Otherwise, women having partners with high school education or above (OR = 2.04, 95%CI = 1.06–3.91), living with parents-in-law (OR = 2.33; 95%CI = 1.25–4.34), the higher number of pregnancies, and a higher degree of importance in having a son regarding parents-in-law (OR = 2.15, 95%CI = 1.38–3.35) associated with higher odds of preferring daughter.


This study showed that gender preference was common among pregnant women, but the pressure to have a son was low. Further education programs and legal institutions should be implemented to improve gender inequality and gender preference in society.

Peer Review reports


One of the Sustainable Development Goals (SDG17) is to ensure gender equality and non-gender discrimination at all levels [1]. Nonetheless, gender-biased selection at birth is still a widespread socio-cultural issue in many countries and communities [2, 3]. This is a great issue that can cause gender imbalance and affect the human rights [4]. Since 1994, and more recently, 2011, the United Nations and its affiliated organizations including the Office of the High Commissioner for Human Rights (OHCHR), United Nations Population Fund (UNFPA), United Nations Children’s Fund (UNICEF), United Nations Entity for Gender Equality and the Empowerment of Women (UN Women), and World Health Organization have issued a joint statement affirming the need to eliminate gender-based discrimination, including son preference [4, 5]. Many countries around the world have also introduced gender equality policies and limited sex selection at birth, as well as implemented community interventions to raise awareness of people’s gender equality rights and sex selection [6,7,8].

In practice, however, sex selection at birth is still prevalent in many countries and cultures across the globe [2, 3]. This phenomenon is especially common in Asian countries such as Korea, China or India, Nepal, and Vietnam, particularly for the first child [9,10,11,12,13]. Countries with large Asian communities also have this situation such as the United States, Canada, or the United Kingdom [14,15,16]. Traditionally, with male privileges observed in societies [17], it is understandable that couples tend to prefer boys. In East Asian countries like China or Vietnam, which are influenced by Confucianism ideology, the son is associated with the role of the head of the family, and the main person in charge of taking care of his parents and ancestor worship [6, 10]. This has put considerable social and family pressure on women as they need to ensure they will have a son. In recent decades, gendered institutions and gender roles have undergone significant changes, leading to a shift in gender preferences for offspring. Notably, son preference has gradually given way to a distinct daughter preference. Empirical evidence from a nationwide survey in Japan revealed that 75.7% of women, in the event of having a single child, expressed a preference for a female baby [18], representing a considerable departure from a decade ago when only 48.5% of women shared this preference [18]. Meanwhile, in India, there seems to be little disparity in the desire to have a male or female child. According to a Pew Research Center survey conducted from 2019 to 2020, 94% of women consider it “very important” for a family to have at least one son, while 90% hold the same view for having at least one daughter [19]. These results indicate that the vast majority of Indian adults consider both sons and daughters to be integral components of a family. It is noteworthy that daughter preference has emerged despite Japan and India’s more traditional gender relations, which diverge from those of other developed nations.

Although the issue of sex selection at birth is proved to be unethical practice and should be restricted, some argue that there should be no restriction because it is the right to freedom and autonomy of couples in the reproduction [20,21,22]. The concept of “family balancing” is proposed when couples want sex selection before birth to ensure the gender balance among children in the family [23, 24]. However, regardless of the reasons, gender preference and sex selection can greatly affect the natural gender balance [25]. Therefore, intervention strategies in promoting awareness of gender preference and sex selection restriction still need to be implemented to address this issue.

In Vietnam, there is a gender imbalance occurring in most localities [26], and the sex ratio at birth in Vietnam tends to increase over time, from 1.08:1 (male/female ratio) in 2000–2005 to 1.12:1 in 2015–2020 [27]. Gender preference, particularly, is more common in rural areas than in urban areas [28, 29]. The increase in the male-biased sex ratio is a concern of policymakers. The Decision No. 1679/QD-TTG dated November 22, 2019, of the Prime Minister on the approval of the Vietnam Population Strategy to 2030 [30] or resolution 21-NQ/TW of the Communism Party [31] underlines the gender inequality and pervasiveness of sex imbalance at birth and sets the goal of bringing the sex ratio at birth to the natural equilibrium level. However, with rapid urbanization, economic growth, and the need to reduce the size of households, sex selection among urban couples is common because they want to have children with the desired gender from the first pregnancy. Therefore, it is necessary to have up-to-date evidence on the gender preferences of these women, thereby helping to develop intervention programs to improve this phenomenon and help ensure the quality of the population of Vietnam in the future.

Several previous studies have suggested that age, level of education, socioeconomic status, presence of living children, family members having gender preference as well as issues related to pressure, anxiety, and stress were the main predictors for antenatal gender preference [32,33,34,35]. However, currently, the evidence on gender preference in urban pregnant women of Vietnam is still limited. Particularly, studies and evidence on gender disparity, preference for sex selection at birth in Vietnam are largely based on local data, small-scale surveys focusing on abortion, and especially qualitative studies [36,37,38,39,40]. The objective of this study was to investigate the gender preferences of pregnant women and determine the factors that influence their preferences. Specifically, we sought to assess the impact of variables such as education level, social and familial pressure, the gender of their first child, satisfaction with their family, and sources of information on pregnancy care. Based on our findings, we aim to develop and suggest interventions that address these factors effectively.

Materials and methods

Study design, sampling method, and data collection

This cross-sectional study was performed at Hanoi Obstetrics and Gynecology Hospital (Northern Vietnam) and Ca Mau Obstetrics and Children’s Hospital (Southern Vietnam) from January to February 2021. We recruited pregnant women aged 18 years or above and voluntarily participated in the study in gave written informed consent. Both pregnant women who had visited hospitals for regular examination or childbirth delivery during the study period were included. We excluded individuals having conditions such as cognitive impairment or other disabilities that might affect their ability to respond to the survey. We used a convenient sampling technique to recruit participants. All eligible pregnant women were approached and briefly introduced to the study. Among 1019 pregnant women who were invited, a total of 732 pregnant women responded to the question about gender preferences (response rate 71.8%). Data from these individuals were finally used for analysis. No difference regarding age, education, occupation, history of pregnancy, and the number of children between pregnant women who were included and excluded. The study was approved by the Institutional Review Boards of Hanoi Obstetrics & Gynecology Hospital (No: 07QĐ/PS-TTĐT).

Measures and instruments

In this study, the research questionnaire was developed based on a standard procedure. First, we carried out a systematic review to assess the situation and important facets associated with gender preference that have been mentioned in previous studies as well as identify the gaps of issues that needed further studies. Next, a research instrument was developed to cover all aspects of interest. In this process, we invited groups of obstetrics experts, population experts, and policymakers to jointly develop and discuss the content, rephrase, and logical order of the instrument. Before collecting data, the questionnaire was piloted on 10 pregnant women and revised based on their comments to once again ensure the logical order, language, and texts. Finally, a structured questionnaire with five main sections was used in this study, including (1) Socio-demographic characteristics; (2) Pregnancy characteristics, (3) Pressure of pregnant women, (4) Satisfaction of pregnant women with their family’s care; and (5) Childbearing and gender preferences. During the data collection period, if they accepted to be study participants, a face-to-face interview was conducted for 15–20 min by investigators who were well-trained to use questionnaires. The interview took place in a closed room, to ensure privacy and limit outside influences. Collected data was saved in a secured system and only served for study purposes. Variables of interest included:

Primary outcomes

Childbearing and gender preferences

In this study, to assess gender preference among pregnant women, we asked participants a question “In this pregnancy, does the sex of your baby matter to you? If yes, would you prefer your child this time to be male or female?” with three answers options, including son preference, daughter preference, and no gender preference.


Socio-demographic characteristics

Information about region (North / South), living location (rural areas / urban areas), level of pregnacy’s education ( below high school / high school / colleges / university or above), partner’s education ( below high school / high school / colleges / university or above), occupation (farmer, blue-collar worker / public servant / office worker / housewife / others), having health insurance (yes / no), age (years), and partner’s age (years), living arrangements (parents in law / parents), and monthly household income (VND) was collected. In terms of occupation variable, we based on the definition of the International Labour Organization to categorize some types of occupation into groups. For example, blue-collar workers perform manual work, including persons who are skilled in various trades (carpenters, welders, construction workers, foremen, operators of certain types of equipment, motor vehicle drives) as well as unskilled or semi-skilled and maintenance workers. They are also often traditionally paid on a weekly, and hourly [41]. The public service personnel comprise persons employed by public authorities at central, regional and local levels and include both civil servants and public employees [42]. Monthly household income was also exchanged from VND to US$ (January 2021 exchange rate [43]).

Pregnancy characteristics

We asked pregnant women to report their number of pregnancies, gender of the first child, frequency of antenatal care, preferable delivery method, having any pregnancy complications during the pregnancy period, and information sources on pregnancy care.

The pressure of pregnant women

Information about the pressure to have a son, and desired number of children were collected. Furthermore, we also asked participants to rate the importance to have a son with themselves, their partners, parents-in-law, and their parents on a 5-point Likert scale from 1 “Completely not important” to 5 “Completely important”.

Satisfaction of pregnant women with their family’s care

We examined the level of satisfaction of pregnant women with their husband/partner, parents-in-law, and parents on an 11-point Likert scale from 0 “Complete dissatisfaction” to 10 “Complete satisfaction”.

Statistical analysis

Data were analyzed by Stata software version 15.0 (Stata Corp. LP, College Station, TX, USA). A p-value < 0.05 was considered statistically significant. Descriptive statistics were calculated to compare the gender preferences in different socio-demographic characteristics, history of maternity care, and childbearing. Chi-squared and Kruskal-Wallis tests were performed to examine the differences. We used multinomial logistic regression model for identifying factors associated with gender preferences (desire to have a son/daughter among pregnant women versus no preference). In this study, the regression model was also adjusted by some potential variables. Particularly, variables that were put on the full regression models included socioeconomic status, history of maternity care, and childbearing characteristics. The forward stepwise approach was utilized to develop the reduced regression model, with a p-value of < 0.02 as a threshold to include variables in the model.


The socio-demographic characteristics of participants are described in Table 1. There was a difference in gender preference among participants. Particularly, about 51.9% of the participants had no gender preference, while, among those who had a gender preference, 26.5% preferred sons, and 21.6% preferred daughters. Only 6.2% had pressure to have a son. In terms of the differences between gender preference and some socio-demographic characteristics, firstly, participants in South areas had a significantly higher proportion of gender preference than North (son: 36.7% vs. 23.5%; daughter: 28.4% vs. 19.6%; p < 0.01). In terms of the levels of education, people below high school level had a dramatically higher preference for gender preference, with 43.8% and 24.7% of them preferring son and daughter, respectively. The difference in gender preference between levels of education was statistically significant with p < 0.01. People who were farmers, or blue workers also reported a higher level of gender preference compared to other occupations, with 34.0% and 22.0% of them preferred for son and daughter, respectively. The difference in gender preference between types of occupations was statistically significant with p = 0.03.

Table 1 Socio-demographic of participants

Table 2 presents the history of maternity care and satisfaction with care from family among pregnant women. The results showed that the proportion of women who visited the hospital more than one month per visit having no gender preference (41.3%) was the lowest compared to other groups (p = 0.02). Individuals who sought information from Friends/Relatives, Internet/social media, Radio/TV, Newspapers/books, and Smartphone applications had a higher proportion of having no gender preference in comparison with those without these sources (p < 0.05). Table 2 also indicates that women with no preference had significantly higher levels of satisfaction with their husbands/partners, parents-in-law, and parents compared to those with specific gender preferences (p < 0.05).

Table 2 History of maternity care and satisfaction of pregnant women with their family’s care

Characteristics of childbearing, and the desire to have children of respondents are described in Table 3. Most of the participants had one time of pregnancy (44.7%), their first child was male (44.7%) and the majority of them preferred to have two children (67.6%). Most of the participants did not have pressure to have a son (93.9%). Pregnant women who preferred a son rated a higher level of importance to have a son regarding themselves, husband, parents-in-law, and parents compared to those preferring a daughter and those having no preference (p < 0.05).

Table 3 Childbearing, the desire to have children of respondents

Table 4 shows factors associated with gender preferences among pregnant women. High school education or above (OR = 0.32, 95%CI = 0.16–0.65) and using smartphone applications as an information source (OR = 0.48, 95%CI = 0.24–0.99) were negatively associated with son preference. Meanwhile, having the first child who was female (OR = 4.16, 95%CI = 1.54–11.25), having the pressure to have a son (OR = 6.77, 95%CI = 2.06–22.26), and higher self-perceived importance to have a son (OR = 3.05, 95%CI = 1.85–5.02) were positively associated with son preference.

Table 4 Multinomial logistic regression identified factors associated with gender preferences among pregnant women

In terms of daughter preference, women having partners with high school education or above (OR = 2.04, 95%CI = 1.06–3.91), living with parents-in-law (OR = 2.33; 95%CI = 1.25–4.34), the higher number of pregnancies, and a higher degree of importance in having a son regarding parents-in-law (OR = 2.15, 95%CI = 1.38–3.35) associated with higher odds of preferring daughter. Otherwise, daughter preference was negatively associated with having insurance (OR = 0.43, 95%CI = 0.20–0.92), having the first child who was female (OR = 0.08, 95%CI = 0.02–0.24), the degree of importance in having a son regarding parents of pregnant women (OR = 0.48, 95%CI = 0.29–0.79), the degree of satisfaction with parents-in-law’s care (OR = 0.82, 95%CI = 0.71–0.96), and using Radio/Television as an information source (OR = 0.20, 95%CI = 0.08–0.52).


This study contributed to the body of literature about the progress of gender equality regarding the improvement of sex selection at birth and gender preference in Vietnam. The results showed that above a half of the women in the study had no specific gender preferences and most of the participants also did not have any pressure to have a son. Factors related to gender preferences through a multivariable regression model also suggest potential implications in improving this phenomenon in Vietnam.

The current study revealed a son preference of 26.5%, which exceeded the daughter preference of 21.6%. These findings are consistent with several previous studies. For instance, Kumar Nithin et al. reported son preference at 22.0%, while daughter preference was only 17.4% [44]. Similarly, Thakkar et al. found that 22.2% of women desired a male child, compared to 14.4% who preferred a female child [45]. Karmali et al. conducted a study in Goa that demonstrated 23.1% of women had a preference for a male child [46]. The issue of gender disparity at birth is widely recognized as a demographic problem in numerous countries and cultures [2, 3]. Since the development of ultrasound and pre-pregnancy sex selection technologies, some countries, such as China, Vietnam, India, and Nepal have shown an increasingly different male/female ratio [47,48,49,50]. The belief in these countries is that men are better at managing and shouldering family matters than women, that they will help their parents when they are old, and they will continue running the family business. Even in some countries, daughters are considered an economic burden because they must have a dowry when their daughter returns to her husband’s house and stays at her husband’s house after marriage [51]. On the other hand, due to the population structure and the quality of the system changing, people are afraid of having too many children and want the current child to be born to be a boy to fulfill the wife’s obligations. To be able to choose the current gender, many people have colluded with health officials to have access to ultrasound and abortion services to determine gender and select sex. [52, 53]. The Vietnam government’s response to the phenomenon of gender imbalance and gender selection through policies prohibiting the selection of the sex of the fetus through health education and communication, diagnosing the fetus, or excluding the fetus for the reason of sex selection [54]. However, it does not seem to have been widely applied, as the rate of imbalanced sex selection is still taking place in most provinces [26]. Despite the disparity in the desire to have a male or female child, it is reassuring to observe that 51.9% of pregnant women in the present study did not exhibit any particular gender preference. This finding aligns with the results of several earlier studies [44, 55, 56]. These outcomes are encouraging and represent a positive step towards achieving goal 3 of the millennium development goals. Nevertheless, more rigorous policies are necessary to prevent sex selection practices. Persistent efforts are required to improve the current scenario.

The results showed that the rate of pressure to have a son was low, but it is reaffirmed as a major factor affecting the son preference. Vietnamese women are often pressured by their husbands and husbands’ family to give birth to a son. A prior qualitative study showed that women were often pressured to have children and wanted to have a son [39]. Women often use three basic strategies to negotiate the need to have a son: (1) to have as many children as possible until a boy is born; (2) to find a second wife for her husband and (3) to adopt a son. Under pressure from many sides, they are determined to have a son. Community influence is the largest agent in shaping reproductive desires and behavior. Women have difficulty facing the pressure and they end up breaking the two-child policy to have a boy [39]. Therefore, it is necessary to have sanctions and laws to prohibit the act of sex selection. In Europe, Article 14 of the European Convention on Human Rights and Biomedical Medicine (Oviedo Convention) of 1997 states that medically assisted reproductive techniques are not be permitted to select the sex of a child in the future, except in severe cases where the associated disease must be avoided [57]. Some countries like Austria and Switzerland forbid selection for any reason [57]. A good finding in this study is that the rate of pressure to have a son was low. In addition, the findings showed that the importance of having a son for pregnant women affected the desire to have a son. This is because currently women have more autonomy and rights as opposed to the past and are not under the influence of outside pressure such as her family or her husband. The desire to have a son only comes from themselves in this case.

Mothers who already had a daughter had no or less desire for a daughter than mothers who had given birth for the first time. Specifically, those who have had their first child, a girl, were more likely to have a son than those who have never had a child. This result is consistent with the context in Vietnam, where the desire to have a son is high. When the first child is a girl, there is a need for the next child to be a boy to have both men and women. This result is consistent with the study of Yamaguchi, K [58, 59]. This finding was also in line with the trend of the family balancing [23, 24]. The results also showed a relationship between mothers’ education level and sex selection, which was similar to the previous findings [60]. We found that people with a lower education level have a higher preference for sons than those with a higher level of education. These results are entirely consistent with the findings of the International Center for Research on Women (ICRW), which indicated that maternal education is among the most crucial factors in reducing son preference [44]. This can be explained by the fact that highly educated individuals possess a greater level of health literacy and an open-minded approach to a daughter’s role in the family. They tend to be less concerned about the sex of their children and prioritize ensuring that their child is appropriately cared for and develops optimally.

Currently, with the development of information technology and the explosion of telemedicine, information can be obtained instantaneously. Through smartphone applications, pregnant women can interact with their physicians remotely and timely. Now the information is easily obtained, so the child’s gender knowledge is also updated, less dependent on the medical staff or have interaction without having to come in person [61]. Our results are in line with current trends. Thanks to searching for information on maternity care, those who use apps have a lower desire to have a boy than those who don’t use smartphone apps. The reason for this phenomenon is not clear; however, we assumed that mothers who used smartphone applications often have high levels of education, and therefore are less concerned about the gender of their children as discussed above.

The findings of this study provide several recommendations to enhance policy. First, educational campaigns should be performed to raise awareness of sex selection and gender preferences, particularly among individuals with low levels of education and their families, with the goal of altering their attitudes and behaviors. Second, legal institutions should be strengthened by rigorously enforcing laws against noncompliance, especially in cases of sex-selective abortions. Finally, comprehensive action plans aimed at reducing gender-based discrimination in society and empowering women in the community should be implemented effectively, which could ultimately lead to a decrease in gender preferences for children.

There are some limitations in this study. First, since it is a cross-sectional study, the cause-and-effect relationship has not been shown, and further research is needed to cover the issue as a longitudinal follow-up study. Second, the convenience sampling at the two hospitals did not cover all populations in Vietnam. For example, we were unable to have data on the central region of Vietnam. Therefore, more studies on a larger scale, over a longer period with diverse contexts are needed to identify the socio-economic factors affecting sex selection.


To conclude, this study showed that gender preference was common among pregnant women in our settings, but the pressure to have a son was low. Further education programs and legal institutions should be implemented to improve gender inequality and gender preference in society.

Data Availability

The data that support the findings of this study are available from the Hanoi Medical University but restrictions apply to the availability of these data, which were used under license for the current study, and so are not publicly available. Data are however available from the authors upon reasonable request and with permission of Hanoi Medical University (contact



Office of the High Commissioner for Human Rights


The United Nations Population Fund


United Nations Children’s Fund

UN Women:

United Nations Entity for Gender Equality and the Empowerment of Women


  1. Assembly UG. Transforming our world: the 2030 Agenda for Sustainable Development New York: United Nations; 2015 [Available from:

  2. Ritchie H, Roser M. “Gender Ratio”. Published online at 2019 [Available from:

  3. Chao F, Gerland P, Cook AR, Alkema L. Systematic assessment of the sex ratio at birth for all countries and estimation of national imbalances and regional reference levels. Proc Natl Acad Sci USA. 2019;116(19):9303–11.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Organization WH. Preventing gender-biased sex selection: an interagency statement-OHCHR, UNFPA, UNICEF, UN women and WHO. Geneva, Switzerland: World Health Organization; 2011.

    Google Scholar 

  5. Nations U, Programme of Action of the International Conference on Population and Development Cairo. : United Nations; 1994 [Available from:

  6. Fan SL, Xiao CN, Zhang YK, Li YL, Wang XL, Wang L. How does the two-child policy affect the sex ratio at birth in China? A cross-sectional study. BMC Public Health. 2020;20(1):789.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Jones GW. Beyond Cairo: changing directions for population policies in the Asia-Pacific region. People and Place. 1998;6(2):1–11.

    CAS  PubMed  Google Scholar 

  8. Cho N-H. Achievements and Challenges of the Population Policy in Korea 2012 [Available from:

  9. Bandyopadhyay MJTWBEH. Illness, Behavior, Society. Sex selection: Issues and concerns. 2014:2101-5.

  10. United Nations Population Fund. Son preference in Vietnam: ancient desires. advancing technologies Hanoi; 2011.

  11. Nanda P, Gautam A, Verma R. ICRW. Study on gender, masculinity and son preference in Nepal and Vietnam. International Center for Research on Women (ICRW); 2012.

  12. Chan CL, Yip PS, Ng EH, Ho PC, Chan CH, Au JS. Gender selection in China: its meanings and implications. J Assist Reprod Genet. 2002;19(9):426–30.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Choi EJ, Hwang J. Transition of Son Preference: evidence from South Korea. Demography. 2020;57(2):627–52.

    Article  PubMed  Google Scholar 

  14. Howell EM, Zhang H, Poston DL. Son Preference of immigrants to the United States: data from U.S. Birth certificates, 2004–2013. J Immigr Minor Health. 2018;20(3):711–6.

    Article  PubMed  Google Scholar 

  15. Wanigaratne S, Uppal P, Bhangoo M, Januwalla A, Singal D, Urquia ML. Sex ratios at birth among second-generation mothers of south Asian ethnicity in Ontario, Canada: a retrospective population-based cohort study. J Epidemiol Community Health. 2018;72(11):1044–51.

    Article  PubMed  Google Scholar 

  16. Dubuc S, Coleman D. An increase in the sex ratio of births to India-Born mothers in England and Wales: evidence for sex-selective abortion. Popul Dev Rev. 2007;33(2):383–400.

    Article  Google Scholar 

  17. Forum WE. Global gender gap report 2021 INSIGHT REPORT MARCH 2021. Geneva, Switzerland: World Economic Forum; 2021.

    Google Scholar 

  18. Fuse K. Daughter preference in Japan: a reflection of gender role attitudes? Demographic Res. 2013;28:1021–52.

    Article  Google Scholar 

  19. Pew Research Center. Changes in son preference, ultrasound use and fertility 2022 [Available from:

  20. Savulescu J. Sex selection: the case for. Med J Australia. 1999;171(7):373–5.

    Article  CAS  PubMed  Google Scholar 

  21. Robertson JA. Preconception gender selection. Am J Bioethics: AJOB. 2001;1(1):2–9.

    Article  CAS  Google Scholar 

  22. Rai P, Ganguli A, Balachandran S, Gupta R, Neogi SB. Global sex selection techniques for family planning: a narrative review. J Reprod Infant Psychol. 2018;36(5):548–60.

    Article  PubMed  Google Scholar 

  23. Dickens BM. Can sex selection be ethically tolerated? J Med Ethics. 2002;28(6):335–6.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. Grant VJ. Sex predetermination and the ethics of sex selection. Hum Reprod (Oxford England). 2006;21(7):1659–61.

    Article  CAS  Google Scholar 

  25. Hesketh T, Xing ZW. Abnormal sex ratios in human populations: causes and consequences. Proc Natl Acad Sci USA. 2006;103(36):13271–5.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. Office GS, Count W. Gender statistics in Vietnam 2020. Hanoi, Vietnam: Statistical Publishing House; 2021.

    Google Scholar 

  27. Statista. Sex ratio at birth in Vietnam from 2000 to 2020 (male births per female births) 2021 [Available from:

  28. Guilmoto CZ. Son preference, sex selection, and kinship in Vietnam. Popul Dev Rev. 2012;38(1):31–54.

    Article  PubMed  Google Scholar 

  29. Bélanger D. Son preference in a rural village in North Vietnam. Stud Fam Plann. 2002;33(4):321–34.

    Article  PubMed  Google Scholar 

  30. Decision 1679/QD-TTg in 2019 on approving the population strategy of Vietnam to 2030 issued by the Prime Minister., (2019).

  31. Party VC. Resolution No. 21-NQ/TW on population work in the new situation. Hanoi: Vietnam Communism Party; 2017.

    Google Scholar 

  32. Supraja TA, Varghese M, Desai G, Chandra PS. The relationship of gender preference to anxiety, stress and family Violence among pregnant women in urban India. Int J Cult Mental Health. 2016;9(4):356–63.

    Article  Google Scholar 

  33. Negash Dechasa A, Mulaw Endale Z, Sertsu Gerbi A, Bekele Sime H, Ayanaw Kassie B. Preference of birth attendant gender and associated factors among antenatal care attendants at Debre Markos town public health facilities, Northwest Ethiopia: a cross-sectional study design 2021. SAGE Open Medicine. 2022;10:20503121221135024.

    Article  PubMed  PubMed Central  Google Scholar 

  34. Magar AA, Karkee R, Upreti S, Subedi L, Ghimire A. Gender preference among pregnant women in Nepal. Int J. 2020;6(8):316.

    Google Scholar 

  35. Yasmin S, Mukherjee A, Manna N, Baur B, Datta M, Sau M, et al. Gender preference and awareness regarding sex determination among antenatal mothers attending a medical college of eastern India. Scand J Public Health. 2013;41(4):344–50.

    Article  PubMed  Google Scholar 

  36. Bélanger D, Khuat THN, Liu J, Le TT, Pham VT. Are sex ratios at Birth increasing in Vietnam. Population. 2003;58:231–50.

    Article  Google Scholar 

  37. Le Cu Linh. Unintended live birth versus abortion: what factors affect the choices of Vietnamese women and couples? Asia-Pacific Popul J. 2007;21(2):45–66.

    Article  Google Scholar 

  38. Gallo MF, Nghia NC. Real life is different: a qualitative study of why women delay abortion until the second trimester in Vietnam. Soc Sci Med. 2007;64(9):1812–22.

    Article  PubMed  Google Scholar 

  39. Bélanger D. Indispensable sons: negotiating reproductive desires in rural Vietnam. Gend Place Cult. 2006;13(3):251–65.

    Article  Google Scholar 

  40. Fund UNP. New Common sense: Famly planning policy and sex ratio in Vietnam findings from a qualitative study in Bac Ninh. Ha Tay and Binh Dinh; 2007.

  41. International Labour Organization. Glossary of labour administration and related terms 1999 [Available from:

  42. International Labour Organization. Public service sector [Available from:

  43. The Ministry of Finance. Accounting exchange rate January 2021 2021 [Available from:

  44. Nithin K, Tanuj K, Unnikrishnan B, Rekha T, Prasanna M, Vaman K, et al. Gender preferences among antenatal women: a cross-sectional study from coastal South India. Afr Health Sci. 2015;15(2):560–7.

    Article  PubMed  PubMed Central  Google Scholar 

  45. Thakkar D, Viradiya H, Shaikh N, Bansal R, Shah D, Shah S. Male child preference for the first child decreasing among women in Surat city. Natl J Community Med. 2011;2(01):163–5.

    Google Scholar 

  46. Karmali DB, Pednekar G, Valaulikar R, Kamat US. A descriptive study of gender preference and its relation to willingness for sterilization in pregnant women in a tertiary hospital in Goa. Int J Reprod Contracept Obstet Gynecol. 2016;5(3):886–90.

    Article  Google Scholar 

  47. Zhu WX, Lu L, Hesketh T. China’s excess males, sex selective abortion, and one child policy: analysis of data from 2005 national intercensus survey. BMJ. 2009;9(338).

  48. Guilmoto CZ, Hoàng X, Van TN. Recent increase in sex ratio at birth in Viet Nam. PLoS ONE. 2009;4(2):27.

    Article  Google Scholar 

  49. Jha P, Kesler MA, Kumar R, Ram F, Ram U, Aleksandrowicz L, et al. Lancet (London England). 2011;377(9781):1921–8. Trends in selective abortions of girls in India: analysis of nationally representative birth histories from 1990 to 2005 and census data from 1991 to 2011.

  50. Channon MD, Puri M, Gietel-Basten S, Stone LW, Channon A. Prevalence and correlates of sex-selective abortions and missing girls in Nepal: evidence from the 2011 Population Census and 2016 demographic and Health Survey. BMJ open. 2021;11(3):2020–042542.

    Article  Google Scholar 

  51. Gietel-Basten S, Casterline J, Choe MK. Family Demography in Asia: a comparative analysis of fertility preferences. Cheltenham, U. K: Edward Elgar Publishing Ltd; 2018.

    Book  Google Scholar 

  52. Chatterjee P. Sex ratio imbalance worsens in Vietnam. Lancet. 2009;374(9699):1410.

    Article  PubMed  Google Scholar 

  53. Bélanger D, Oanh KT. Second-trimester abortions and sex-selection of children in Hanoi. Vietnam Popul Stud. 2009;63(2):163–71.

    Article  Google Scholar 

  54. Government Decree No. 104/2003/ND-CP dated September 16, 2003 detailing and guiding the implementation of a number of. articles of the Ordinance on Population; 2003.

  55. Chellaiyan VG, Adhikary M, Das TK, Taneja N, Daral S. Factors influencing gender preference for child among married women attending ante-natal clinic in a tertiary care hospital in Delhi: a cross sectional study. Int J Community Med Public Health. 2018;5(4):1666–70.

    Article  Google Scholar 

  56. Rawat S, Yadav A, Parve S, Bhate K. Epidemiological factors influencing gender preference among mothers attending under-five immunization clinic: a cross-sectional comparative study. J Educ Health Promot. 2021;10(1):190.

    PubMed  PubMed Central  Google Scholar 

  57. de Wert G, Dondorp W. Preconception sex selection for non-medical and intermediate reasons: ethical reflections. Facts, views & vision in ObGyn. 2010;2(4):267 – 77.

  58. Yamaguchi K. A formal theory for male-preferring stopping rules of child-bearing: sex differences in birth order and in the number of siblings. Demography. 1989;26:451–6.

    Article  CAS  PubMed  Google Scholar 

  59. Kim S, Lee SH. Son Preference and Fertility decisions: evidence from Spatiotemporal Variation in Korea. Demography. 2020;57(3):927–51.

    Article  PubMed  Google Scholar 

  60. Sabarwal S. The Burden of Choice: Mother’s Education and Prenatal Sex Selection. 2008.

  61. Tripp N, Hainey K, Liu A, Poulton A, Peek M, Kim J, et al. An emerging model of maternity care: smartphone, midwife. Doctor? Women Birth. 2014;27(1):64–7.

    Article  PubMed  Google Scholar 

Download references


The article process charge of this paper is supported by the NUS Department of Psychological Medicine (R-177-000-100-001/R-177-000-003-001); and NUS iHeathtech Other Operating Expenses (R-722-000-004-731). The authors would like to acknowledge supports of all pregnant women who participated in the study.


The article process charge of this paper is supported by the NUS Department of Psychological Medicine (R-177-000-100-001/R-177-000-003-001); and NUS iHeathtech Other Operating Expenses (R-722-000-004-731).

Author information

Authors and Affiliations



AND LHN LDN LTN HTTN CTN NN BXT TMTV conceived of the study, and participated in its design and implementation, and wrote the manuscript. ALD AML LPD SHN analyzed the data. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Cuong Tat Nguyen.

Ethics declarations

Competing interests

The authors declare no competing interests.

Ethics approval and consent to participate

The Institutional Review Board of the Hanoi Obstetrics and Gynecology Hospital approved the study protocol (Code: 07 QD/PS-TTĐT). Participants were asked to give written or verbal informed consent and were informed that they could withdraw at any time. All methods were performed in accordance with the relevant guidelines and regulations.

Consent for publication

Not applicable.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and Permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Nguyen, A.D., Nguyen, L.H., Nguyen, L.D. et al. Toward sustainable development goals in gender inequality: an analysis of gender preferences among urban pregnant women in a Southeast Asian country. BMC Pregnancy Childbirth 23, 780 (2023).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: