- Research article
- Open Access
- Open Peer Review
The role of birthplace and educational attainment on induced abortion inequalities
- Yolanda González-Rábago†1, 4Email authorView ORCID ID profile,
- Elena Rodriguez-Alvarez†2, 4,
- Luisa N. Borrell3, 4 and
- Unai Martín1, 4
© The Author(s). 2017
- Received: 17 August 2016
- Accepted: 22 December 2016
- Published: 13 January 2017
Induced abortion (IA) has shown social inequality related to birthplace and education with higher rates of IAs in immigrant and in less educated women relative to their native and highly educated counterparts. This study examined the independent and joint effects of birthplace and education on IA, repeated and IA performed during the 2nd trimester of pregnancy among women residing in the Basque Country, Spain.
We conducted a cross-sectional population-based study of IA among women aged 25–49 years residing in the Basque Country, Spain, between 2011 and 2013. Log-binomial regression was used to quantify the independent and joint effects of birthplace and education attainment on all outcomes.
Immigrant women exhibited higher probability of having an IAs (PR: 5.31), a repeated (PR: 7.23) or a 2nd trimester IAs (PR: 4.07) than women born in Spain. We observed higher probabilities for all outcomes among women with a primary or less education relative to those with a graduate education (All IAs PR: 2.51; repeated PR: 6.00; 2nd trimester PR: 3.08). However, no significant heterogeneity was observed for the effect of education on the association of birthplace with IAs, repeated or 2nd trimester IAs.
Birthplace and education are key factors to explain not only an IA decision but also having a repeated or a 2nd trimester IA. However, the effects of birthplace and education may be independent from each other on these outcomes. A better understanding of these factors on IAs is needed when designing programs for sexual and reproductive health aimed to reduce inequalities among women.
- Induced abortion
- Repeat induced abortion
- Second trimester induced abortion
There is consensus on the existence of inequalities in health generated by unequal distribution of social determinants of health [1, 2]. For example, factors considered as social determinants of health such as gender, birthplace or social position indicators determine access to opportunities and resources related to health . Specifically, several studies show health inequalities by birthplace as a result of unequal distribution of factors considered as social determinants of health such as social class [4, 5]. In addition, previous studies show that education, an indicator of social class, is an important social determinant of health inequalities with a clear gradient [6–8]. Hence, birthplace and education are indicators of population health inequality, especially reproductive health . Furthermore, these indicators could not only act independently but also together to affect the health of the individual [1, 10]. The intersection of the different social determinants of health has been examined especially in social sciences as related to gender and immigration [11–13]. Recently, this approach has been used in health studies, specifically on inequalities of self-perceived health [10, 14–16]. However, fewer studies have examined the combined effects of two or more social determinants on reproductive health [17, 18].
Induced abortion (IA), an indicator of reproductive health, has been associated with both to birthplace [19–24] and educational attainment [25–28]. Studies examining IA and birthplace suggest that compared to natives women, immigrant women exhibited higher IA rates, number of repeated and IAs performed during the second trimester of pregnancy [21–24]. These outcomes are also more common among less educated women than among highly educated women [25–28]. Both repeated and IAs performed during the 2nd trimester pose greater risks for women’s health and have been linked to adverse outcomes in future pregnancies [25, 29–31]. Thus, it is important not only to examine the prevalence of IAs but also the inequalities of IAs associated with birthplace and education, independently and jointly, to design and implement policies to reduce such inequalities.
During the last two decades Spain has experienced a tremendous growth of its immigrant population, placing Spain among the European countries with the highest percentage of foreign-born population (12.6%) in 2015 . In Spain, the public health system coverage is considered universal de facto, with the law regulating access to IA and related services. In the Basque Country, access to IA is guaranteed through both public and private centers . In 2012, Spain introduced the Royal Decree Law 16/2012 limiting access to health services to illegal immigrants. To mitigate this Decree, the Basque Country introduced the Decree 114/2012 to ensure health care access and coverage to this population. Thus, unequal access to the health system, specifically related to reproductive health, between immigrant and native population, makes imperative to examine inequalities on IA outcomes. To address this gap, this study aims to examine the independent and joint effects of birthplace and education on IA, repeated and IAs performed during the 2nd trimester among women residing in the Basque Country, Spain, during 2011 and 2013.
This study was a cross-sectional population-based of IAs among women aged 25 to 49 years residing in the Basque Country, Spain, between 2011 and 2013. Information on IAs came from the Department of Health of the Basque Government, Registry of Induced Abortions, and included all IAs from women residing in the Basque Country. The data were collected through notification forms by accredited centers to conduct IAs submitted periodically records to the Registry of Abortions. Validation, encryption and process were performed by the Registry according to established protocols by the Ministry of Health, Social Services and Equality. In addition, we used data for women residing in the Basque Country collected by the Population and Housing Census 2011 according to age, place of birth and educational attainment.
The dependent variables were all IAs, repeated IAs and IAs conducted during the 2nd trimester among women who have an IA. A repeat IA refers to women who have a previous IA, while a 2nd trimester IA was an IA performed at ≥12 weeks of gestational age of pregnancy . The independent variables were educational attainment, specified as primary or less, secondary, and graduate; and birthplace, classified women as born in Spain or born in countries with a Human Development Index (HDI) <0.78 in 2011  (hereafter, the latter would be referred as low income countries). Thus, birthplace refers to women born in low income countries because women from high HDI countries have a similar or better socioeconomic position than native women, making it difficult to rule out inequalities between natives and immigrant women . Variables considered as covariates were year of the intervention and age groups (25–29, 30–34 and 35–49). We focus the analyses on women 25 years and older to avoid including women who are still in school as the latter may lead to residual confounder.
Out of the 11,946 women with an IA during 2011 and 2013, we excluded those IAs conducted for fetal risk and rape (n = 596); those IAs among women born in high income countries (n = 216); records of women younger than 25 years of age (n = 3,388), without information on educational attainment (n = 516), and number of IA (n = 1); or for those reporting employment status as a pensioner (n = 18). These exclusions resulted in 7,211 records for analysis purposes.
Prevalence estimates and associations of all IAs as well as repeated and 2nd trimester IAs with birthplace and educational attainment were calculated using as the denominator data obtained from the Population and Housing Census 2011 before and after adjusting for age and year of IA intervention. Log binomial regression was used to calculate the prevalence ratios (PR) and corresponding 95% confidence intervals (CI) for the association of birthplace and educational attainment with each dependent variable before and after controlling for age and year of the IAs. For the final model, the association for birthplace was further adjusted for education while the one for education was adjusted for birthplace. To determine the joint effect of birthplace and educational attainment, interaction terms were examined in the final models for each outcome.
Data management and analysis were conducted using SAS version 9.4 for Windows (SAS Institute Inc., Cary, NC).
Distribution of characteristics of women aged 25 to 49 years who have had an IA for the total population, repeat and second trimester of IAs: Basque Country, years 2011-2013
Totala (n = 7211)
Low Income Countries
Year of intervention
Primary or less
Second trimester IAs
Prevalence and prevalence ratios (PR) with their 95% confidence intervals (CI) associated with birthplace and educational attainment on induced abortions (IA), repeat and second trimester IAs: Basque Country, years 2011–2013
Prevalence* (per 1,000)
Unadjusted PR (95% CI)
PR (95% CI)a
PR (95% CI)b
PR (95% CI)c
Low income countries
7.94 (3.87, 16.28)
6.51 (3.15, 13.43)
6.51 (3.15, 13.45)
5.31 (2.28, 12.24)
Primary or less
4.47 (1.70, 11.79)
5.42 (2.22, 13.24)
5.42 (2.21, 13.28)
2.51 (0.92, 6.82)
1.59 (0.57, 4.40)
1.89 (0.73, 4.86)
1.89 (0.73, 4.87)
1.41 (0.56, 3.57)
Low income countries
13.04 (6.28, 27.08)
10.71 (5.13, 22.38)
10.71 (5.12, 22.42)
7.23 (2.89, 18.09)
Primary or less
12.65 (4.78, 33.48)
15.66 (6.29, 38.99)
15.66 (6.26, 39.16)
6.00 (2.10, 17.11)
3.54 (1.28, 982)
4.25 (1.62, 11.13)
4.25 (1.62, 11.16)
2.92 (1.17, 7.29)
Second Trimester IA
Low income countries
6.37 (3.07, 13.20)
5.25 (2.51, 11.00)
5.25 (2.48, 11.13)
4.07 (1.70, 9.75)
Primary or less
4.73 (1.77, 12.65)
5.82 (2.32, 14.59)
5.82 (2.30, 14.74)
3.08 (1.08, 8.77)
1.39 (0.50, 3.91)
1.65 (0.63, 4.33)
1.65 (0.62, 4.39)
1.32 (0.48, 3.61)
Table 2 shows that for all IAs, women born in low income countries were more likely to have an IA than women born in Spain before and after adjustment. This association remained significant regardless of the variables controlled for. However, the greatest attenuation was observed in the fully adjusted model where women born in low income countries had a 5.31 (95% CI: 2.28, 12.24) greater probability of having an IA than women born in Spain. For education, women with a primary or lower education had a greater probability of having an IA than women with a graduate level of education before and after controlling for a) age and b) age and year of intervention. However, this association was no longer significant when further adjusting for birthplace. Similarly, the associations of birthplace and education with repeated and 2nd trimester IAs exhibited a similar pattern than the ones observed for all IAs and remained significant regardless of the variables controlled for. However, this association was significant and stronger for repeated IAs (crude PR for birthplace: 13.04 and adjusted PR for age, year of intervention and education: 7.23). For 2nd trimester IAs, these estimates were 6.37 (95%CI: 3.07, 13.20) and 4.07 (95%CI: 1.70, 9.75) for the unadjusted and fully-adjusted, respectively. For education, women with primary or lower education were 6.0 (95%:2.10, 17.11) and 3.08 (95%CI: 1.08, 8.77) times more likely to have a repeat and 2nd trimester IAs, respectively, than women with a graduate level of education after controlling for age, year of birth and birthplace. This association was also observed for repeated IAs for secondary education relative to graduate education (PR: 2.92; 95%CI: 1.17, 729). However, no association was observed between educational attainment and all IAs.
Prevalence and prevalence ratios (PR)a with their 95% confidence intervals (CI) associated with country of birth on induced abortions (IA), repeat and second trimester IAs according to educational attainment: Basque Country, years 2011–2013
Primary or less
Low income countries
4.89 (1.51, 15.84)
5.54 (1.62, 18.90)
4.54 (1.38, 14.94)
Low income countries
5.00 (1.47, 16.87)
7.38 (2.21, 27.04)
8.47 (2.57, 27.84)
Second Trimester IA
Low income countries
3.33 (0.90, 12.34)
3.92 (1.04, 14.81)
4.97 (1.37, 18.04)
Consistent with previous studies, we found an association between birthplace and IAs [19, 35–37] underscoring the importance of educational attainment on having IAs [20, 22, 28, 38]. Similarly, previous studies have examined the effect of birthplace and education on repeat IAs [21, 24, 27, 39]. For instance, Fisher et al. found that immigrant women were 83% more likely to have a repeat IA than Canadian women . Finally, our findings concur with a study in Spain that found immigrant women being more likely to repeat IAs than native women .
In our study, repeated IA was associated with lower education with a probability of having a repeat IA in women with primary education than in those with a graduate education. Consistent with our findings, Makenzius et al., showed that women with a high school or lower education were 50% more likely to repeat an IA than women with higher education in Sweden . Finally, while few studies have examined IAs conducted during the second trimester [23, 29], the evidence seems to corroborate our results. For example, in a Dutch study, immigrant women exhibited higher prevalence of IA in the second trimester than native women . Moreover, Font-Ribera et al., found that low education seems to be a risk factor for IA in the second trimester in Spain .
As with previous studies [18, 20], we observed that repeated or 2nd trimester IA appears to increase with education among immigrant women. This finding may suggest that education may not be protective for IAs in immigrant women as it does for native women. Limited and evidence exists on this issue with two studies in Norway [18, 20] suggesting that in contrast to Norwegian women, a high level of education did not have a protective effect for immigrant women.
Our findings of increase of repeated and 2nd trimester IAs associated with education among immigrant women relative to native women lead us to seek potential explanations for this differential educational effect. First, a lower level of sexual education and a relationship less equal with partners (limiting a woman negotiating power on the sexual relationship) among immigrant women may explain the higher frequency of unintended pregnancies than among native ones, regardless of level of education. This argument has been suggested in the Norwegian context, noting a higher importance of cultural factors over education when it comes to reproductive decisions . Second, once there is an unintended pregnancy among immigrant women, the decision to interrupt may be influenced by factors such as reduced social and family support in the host country as well as poorer employment opportunities and socioeconomic status. Thus, less social support  and lower occupational skills faced by immigrant women  could be more important than education on the decision of having an IA or not. The latter suggests that education as a social position indicator may be less important or that it could be intertwined with other social factors for immigrant women.
A limitation of this study is the use of data from a register. These data are limited, preventing the inclusion of variables relevant to understand the relationship of birthplace and educational attainment with IA, such as, the length of residence in Spain. Despite this limitation, registry data are less biased than data obtained from population-based interviews subject to recall bias or non-response rates (under- or over-reporting) [42, 43].
Our findings contribute to the study of IA outcomes in our context, where few studies have examined such outcomes [26, 37]. In addition, this study goes a step further by examining the combined effects of immigration status and education attainment on IAs, repeated and 2nd trimester IAs, the effects are rarely examined nowadays despite the associated risks to women’s health. Moreover, this study called attention to the importance of understanding the factors explaining not only an IA decision but also having a repeated or 2nd trimester IA. A better understanding of these factors, independently and/or together, is needed when designing programs for sexual and reproductive health education and access to care that may reduce inequalities between immigrant and native populations. Furthermore, the development of research and practice strategies capturing inequalities of different social groups are imperative .
The authors would like to thank Nieves Rodríguez-Sierra Huguet (Health Department of Basque Government, Spain) for providing the data for this study.
This work was supported by the University of the Basque Country UPV/EHU [project EHU14/55] and Ministry of Economy and Competitiveness of Spain [project CSO22013-44886-R].
Availability of data and materials
The dataset used for this article will not be shared. The data are secondary data provided by Department of Health of the Basque Government, Registry of Induced Abortions, only for analysis purposes.
Y. González-Rábago and U. Martín were responsible for the study concept and design. Y. González-Rábago and E. Rodriguez-Alvarez revised the bibliography and wrote the first draft of the manuscript. L.N. Borrell was responsible for statistical analysis and interpretation of data as well as, jointly with U. Martín contributed to the writing of the article. All authors critically reviewed and revised the article. All authors read and approved the final manuscript.
The authors declare that they have no competing interests. The results and opinions discussed in this article are the sole responsibility of the authors.
Consent for publication
Ethics approval and consent to participate
De-identified data were used for the analyses, and thus, this was exempt from Institutional Review Board review at the Basque Country University. Authors received permission to use the data from the Department of Health of the Basque Government.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
- Solar O, Irwin A. A conceptual framework for action on the social determinants of health. Social Determinants of Health. Geneva: World Health Organization; 2010.Google Scholar
- Marmot M, Wilkinson R. Social determinants of health: 2nd ed. Oxford: Oxford University Press; 2006.Google Scholar
- Ministerio de Sanidad y Política Social. Comisión para reducir las desigualdades sociales en salud en España: Avanzando hacia la equidad. Madrid: Ministerio de Sanidad y Política Social; 2010.Google Scholar
- Borrell C, Muntaner C, Solá J, Artazcoz L, Puigpinós R, Benach J, Noh S. Immigration and self-reported health status by social class and gender: the importance of material deprivation, work organization and household labour. J Epidemiol Community Health. 2008;62(5), e7.View ArticlePubMedGoogle Scholar
- Nielsen SS, Krasnik A. Poorer self-perceived health among migrants and ethnic minorities versus the majority population in Europe: a systematic review. Int J Public Health. 2010;55(5):357–71.View ArticlePubMedGoogle Scholar
- von dem Knesebeck O, Verde PE, Dragano N. Education and health in 22 European countries. Soc Sci Med. 2006;63(5):1344–51.View ArticleGoogle Scholar
- Ross CE, Wu C. The Links Between Education and Health. Am Sociol Rev. 1995;60(5):719–45.View ArticleGoogle Scholar
- Cavelaars AE, Kunst AE, Geurts JJ, Crialesi R, Grotvedt L, Helmert U, Lahelma E, Lundberg O, Matheson J, Mielck A, Mizrahi A, Mizrahi A, Rasmussen NK, Regidor E, Spuhler T, Mackenbach JP. Differences in self reported morbidity by educational level: a comparison of 11 western European countries. J Epidemiol Community Health. 1998;52(4):219–27.View ArticlePubMedPubMed CentralGoogle Scholar
- CSDH: Closing the gap in a generation: health equity through action on the social determinants of health. Final Report of the Commission on Social Determinants of Health. Geneva: World Health Organization; 2008.Google Scholar
- Veenstra G. Race, gender, class, and sexual orientation: intersecting axes of inequality and self-rated health in Canada. Int J Equity Health. 2011;10(1):1–11.View ArticleGoogle Scholar
- Carbado DW, Crenshaw KW, Mays VM, Tomlinson B. INTERSECTIONALITY: Mapping the Movements of a Theory. Du Bois Rev. 2013;10(2):303–12.View ArticlePubMedPubMed CentralGoogle Scholar
- Nash JC. Re-thinking intersectionality. Fem Rev. 2008;89(1):1–15.View ArticleGoogle Scholar
- Shields S. Gender: An Intersectionality Perspective. Sex Roles. 2008;59(5-6):301–11.View ArticleGoogle Scholar
- Cummings JL, Braboy Jackson P. Race, Gender, and SES Disparities in Self-Assessed Health, 1974-2004. Res Aging. 2008;30(2):137–67.View ArticleGoogle Scholar
- Malmusi D, Borrell C, Benach J. Migration-related health inequalities: showing the complex interactions between gender, social class and place of origin. Soc Sci Med. 2010;71(9):1610–9.View ArticlePubMedGoogle Scholar
- Etherington N. Race, Gender, and the Resources That Matter: An Investigation of Intersectionality and Health. Women Health. 2015;55(7):754–77.View ArticlePubMedGoogle Scholar
- Downing RA, LaVeist TA, Bullock HE. Intersections of Ethnicity and Social Class in Provider Advice Regarding Reproductive Health. Am J Public Health. 2006;97(10):1803–7.View ArticleGoogle Scholar
- Eskild A, Nesheim B, Busund B, Vatten L, Vangen S. Childbearing or induced abortion: the impact of education and ethnic background. Population study of Norwegian and Pakistani women in Oslo, Norway. Acta Obstet Gynecol Scand. 2007;86(3):298–303.View ArticlePubMedGoogle Scholar
- Rodríguez-Álvarez E, Borrell LN, González-Rábago Y, Martín U, Lanborena N. Induced abortion in a southern European region: examining inequalities between native and immigrant women. Int J Public Health. 2016;61(87):829–36.View ArticlePubMedGoogle Scholar
- Vangen S, Eskild A, Forsen L. Termination of pregnancy according to immigration status: a populationbased registry linkage study. BJOG. 2008;115(10):1309–15.View ArticlePubMedGoogle Scholar
- Fisher WA, Singh SS, Shuper PA, Carey M, Otchet F, MacLean-Brine D, Dal Bello D, Gunter J. Characteristics of women undergoing repeat induced abortion. CMAJ. 2005;172(5):637–41.View ArticlePubMedPubMed CentralGoogle Scholar
- Helström L, Odlind V, Zätterström C, Johansson M, Granath F, Correia N, Ekbom A. Abortion rate and contraceptive practices in immigrant and native women in Sweden. Scan J of Public Health. 2003;31(6):405–10.View ArticleGoogle Scholar
- Loeber O, Wijsen C. Factors Influencing the Percentage of Second Trimester Abortions in the Netherlands. Reprod Health Matters. 2008;16(31, Supplement):30–6.View ArticlePubMedGoogle Scholar
- Picavet C, Goenee M, Wijsen C. Characteristics of women who have repeat abortions in the Netherlands. Eur J Contracept Reprod Health Care. 2013;18(5):327–34.View ArticlePubMedGoogle Scholar
- Jones RK, Finer LB. Who has second-trimester abortions in the United States? Contraception. 2012;85(6):544–51.View ArticlePubMedGoogle Scholar
- Laanpere M, Ringmets I, Part K, Allvee K, Veerus P, Karro H. Abortion trends from 1996 to 2011 in Estonia: special emphasis on repeat abortion. BMC Womens Health. 2014;14(1):81.View ArticlePubMedPubMed CentralGoogle Scholar
- Makenzius M, Tydén T, Darj E, Larsson M. Repeat induced abortion – a matter of individual behaviour or societal factors? A cross-sectional study among Swedish women. Eur J Contracept Reprod Health Care. 2011;16(5):369–77.View ArticlePubMedGoogle Scholar
- Perez G, Garcia-Subirats I, Rodriguez-Sanz M, Di ez E, Borrell C. Trends in Inequalities in Induced Abortion According to Educational Level among Urban Women. J Urban Health. 2010;87(3):524–30.View ArticlePubMedPubMed CentralGoogle Scholar
- Font-Ribera L, Pérez G, Espelt A, Salvador J, Borrell C. Determinantes del retraso de la interrupción voluntaria del embarazo. Gac Sanit. 2009;23(5):415–9.View ArticlePubMedGoogle Scholar
- Hardy G, Benjamin A, Abenhaim H. Effect of induced abortions on earlypreterm births and adverseperinataloutcomes. J Obstet Gynaecol Can. 2013;35(2):138–43.View ArticlePubMedGoogle Scholar
- Brown JS, Adera T, Masho SW. Previous abortion and the risk of low birth weight and preterm births. J Epidemiol Community Health. 2008;62(1):16–22.View ArticlePubMedGoogle Scholar
- INE: Cifras de Población. Instituto Nacional de Estadística 2015.Google Scholar
- Departamento de Salud.Gobierno Vasco. Interrupciones voluntarias del embarazo en la Comunidad Autónoma del País Vasco 2013. Donostia-San Sebastián: Servicio Central de Publicaciones del Gobierno Vasco ed; 2015.Google Scholar
- United Nations Development Program (UNDP): Human Development Report 2011. Sustainability and Equity: A Better Future for All: UNDP ed. New York: Palgrave and Macmillan; 2011.Google Scholar
- Gispert Magarolas R, Clot-Razquin G, del Mar Torné M, Bosser-Giralt R, Freitas-Ramírez A. Diferencias en el perfil reproductivo de mujeres autóctonas e inmigrantes residentes en Cataluña. Gac Sanit. 2008;22(6):574–7.View ArticlePubMedGoogle Scholar
- Malmusi D, Pérez G. Aborto legal en mujeres inmigrantes en un entorno urbano. Gac Sanit. 2009;23(Supplement 1):64–6.View ArticlePubMedGoogle Scholar
- Ruiz-Ramos M, Ivañez-Gimeno L, García León FJ. Características sociodemográficas de la interrupción voluntaria del embarazo en Andalucía: diferencias entre población autóctona y extranjera. Gac Sanit. 2012;26(6):504–11.View ArticlePubMedGoogle Scholar
- Font-Ribera L, Pérez G, Salvador J, Borrell C. Socioeconomic Inequalities in Unintended Pregnancy and Abortion Decision. J Urban Health. 2007;85(1):125–35.View ArticlePubMedPubMed CentralGoogle Scholar
- Zurriaga O, Martínez-Beneito MA, Galmés Truyols A, Torne MM, Bosch S, Bosser R, Portell Arbona M. Recourse to induced abortion in Spain: profiling of users and the influence of migrant populations. Gac Sanit. 2009;23(Supplement 1):57–63.View ArticlePubMedGoogle Scholar
- Rodríguez Álvarez E, González-Rábago Y, Bacigalupe A, Martín U, Lanborena Elordui N. Inmigración y salud: desigualdades entre la población autóctona e inmigrante en el País Vasco. Gac Sanit. 2014;28(4):274–80.View ArticlePubMedGoogle Scholar
- Molpeceres Álvarez L. Situación laboral de las mujeres inmigrantes en España. Cuadernos de Relaciones Laborales. 2012;30(1):91–113.View ArticleGoogle Scholar
- Jones R, Darroch J, Henshaw S. Contraceptive use among U.S. women having abortions in 2000–2001. Perspect Sex Reprod Health. 2002;34:294–303.View ArticlePubMedGoogle Scholar
- Finer L, Frohwirth L, Dauphinee L, Singh S, Moore A. Reasons U.S. women have abortions: quantitative and qualitative perspectives. Perspect Sex Reprod Health. 2005;37:110–8.View ArticlePubMedGoogle Scholar
- Price K. It's Not Just About Abortion: Incorporating Intersectionality in Research About Women of Color and Reproduction. Womens Health Issues. 2011;21(3):S55–7.View ArticlePubMedGoogle Scholar