Skip to main content
PLOS One logoLink to PLOS One
. 2017 Oct 16;12(10):e0186412. doi: 10.1371/journal.pone.0186412

Understanding differences in conception and abortion rates among under-20 year olds in Britain and France: Examining the contribution of social disadvantage

Rachel H Scott 1,*, Nathalie Bajos 2, Emma Slaymaker 1, Kaye Wellings 3, Catherine H Mercer 4
Editor: Andrew R Dalby5
PMCID: PMC5643109  PMID: 29036209

Abstract

Objectives

Socioeconomic status has been shown to be associated with sexual activity, contraceptive-use, pregnancy and abortion among young people. Less is known about whether the strength of the association differs for each outcome, between men and women, or cross-nationally. We investigate this using contemporaneous national probability survey data from Britain and France.

Methods

Data were analysed for 17–29 year-olds in Britain’s third National Survey of Sexual Attitudes and Lifestyles (Natsal-3, n = 5959) undertaken 2010–2012, and the 2010 French Fertility, Contraception and Sexual Dysfunction survey (FECOND, n = 3027). For each country, we estimated the gender-specific prevalence of sex before-16, contraceptive-use, conception before-20, and abortion in the event of conception, and used logistic regression to examine associations between two measures of socioeconomic status–educational-level and parental socioeconomic-group–and each outcome. We tested for interactions between socioeconomic characteristics and country, and socioeconomic characteristics and gender, for each outcome.

Results

For each outcome, Britain and France differed with regard to prevalence but associations with socioeconomic characteristics were similar. Respondents of higher educational level, and, less consistently, with parents from higher socioeconomic-groups, were less likely to report sex before-16 (Britain, men: adjusted OR (aOR) 0.5, women: aOR 0.5; France, men: aOR 0.5, women: aOR 0.5), no contraception at first sex (Britain, men: aOR 0.4, women: aOR 0.6; France, men: aOR 0.4, women: aOR 0.4), pregnancy before-20 (Britain: aOR 0.3; France: aOR 0.1), and in Britain, a birth rather than an abortion in the event of conception (Britain: aOR 3.1). We found no strong evidence of variation in the magnitude of the associations with socioeconomic characteristics by country or gender.

Conclusions

Population level differences in conception and abortion rates between the two countries may partly be driven by the larger proportion of the population that is disadvantaged in Britain. This research highlights the role intra-country comparisons can play in understanding young people’s sexual and reproductive behaviours.

Introduction

Teenagers in Britain are more likely to become pregnant than those in France [1], and among those who do, young women in Britain are less likely to have an abortion [1]. Whilst it is well-established that under-20 conception and abortion are associated with socioeconomic status [26], this reading of the data can mask important nuances. Abortion is the result of a multistage pathway, which starts with first intercourse and contraceptive-use or non-use on this and later occasions, continues with the occurrence of unintended pregnancy, and ends with the decision to end the pregnancy and access abortion services [7,8]. Socioeconomic characteristics have been found to be associated with each stage in this pathway: in both countries women with lower educational attainment have been found to report earlier sexual debut [4,9], young people in Britain from more affluent backgrounds are more likely to use contraception and emergency contraception [4,10,11] and in France, condom-use at first sex is lower among women with less education [12]. In both countries young women from disadvantaged backgrounds are more likely to have an abortion if they become pregnant [13,14]. Socioeconomic disadvantage may influence sexual and reproductive health in several ways. As well as affecting young people’s expectations for their future and motivations to avoid pregnancy [5,15], advantaged young people have been found to be more knowledgeable about contraception and health services and better able to access them [16,17].

Little is known about whether the strength of the association between socioeconomic characteristics and each stage in the pathway (sexual activity, contraceptive-use, conception and abortion) varies cross-nationally. A five-country comparative study of socioeconomic disadvantage and young people’s sexual behaviour (using national-level aggregated survey data from the United States, Britain, France, Sweden and Canada) found that contraceptive-use at first intercourse differed according to socioeconomic indicators in Britain and the US, but not France [10], suggesting that the effects of socioeconomic characteristics may differ across country contexts. Furthermore, these associations may differ by gender. In Britain, parental social class was associated with age at first sex only among men [4], while in France, condom-use at first sex was found to be associated with educational-level only among women [12]. Gender differences in associations between socioeconomic characteristics and reported sexual and reproductive health outcomes may also vary cross-nationally, and may reflect differences in social pressures and expectations placed upon men and women [18]. Considering these differences by gender and cross-nationally may shed light on ways in which country-level differences in gender social structures might shape behaviours and thus risk of conception and abortion [18,19].

This paper presents a comparative analysis of the association of two specific socioeconomic characteristics–individual educational-level and parental socioeconomic group–with each stage of the pathway to abortion in Britain and France. This research complements the ecological analyses of Darroch, Singh et al. [10,20], which show socioeconomic gradients in sexual behaviour and reproductive health outcomes in five developed countries. We go further, using individual-level, rather than aggregated, data from two large, nationally-representative surveys with detailed and broadly comparable information on socioeconomic status and sexual and reproductive health outcomes. We also give a more contemporary picture by examining these relationships in a more current period. We chose these countries because whilst they are similar in many ways–being geographically close and sharing socio-demographic similarities–they have very different rates of teenage conception and abortion and differ in important ways that affect young people’s lives. In particular, the proportion of the population that is disadvantaged is greater in Britain: 21% of the British population has an income less than 60% of the median compared to 16% in France [21]. There is a wider gap between the incomes of the richest 20% and the poorest 20% in Britain compared to France [21]. Where income inequality is greater, so are social differences and so social stratification becomes more evident [22]. We can consider this in the context of young parenthood: young people may be more motivated to avoid pregnancy if they have a reasonable expectation of their opportunities for inclusion in society [5,23]. Where the gap between the richest and the poorest is wide, these expectations may become less reasonable among the more disadvantaged, and socioeconomic characteristics may have a stronger association with sexual and reproductive health outcomes than in a more egalitarian context. Even if the effect of socioeconomic characteristics were the same in both countries, greater inequality may lead to greater prevalence of sexual and reproductive health outcomes because of the relatively larger proportion of the population that is disadvantaged [24].

The aim of this paper is to better understand the role of two commonly-used measures of socioeconomic status at each stage of the pathway to abortion among young men and women in Britain and France, and their possible contribution to the variation in conception and abortion rates between the countries. We interpret the results with reference to known differences in the extent of country-level inequality.

Methods

This paper draws on data from two nationally representative probability surveys, Britain’s third National Survey of Sexual Attitudes and Lifestyles (Natsal-3; total sample size 15,162) and France’s Fertility, Contraception and Sexual Dysfunction Survey (FECOND; total sample size 8,645). The Natsal study was approved by the Oxford Research Ethics Committee A [Ref: 10/H0604/27]. The FECOND study was approved by the relevant French government oversight agency (the Commission Nationale de l’Informatique et des Libertés) [n°909024]. Fieldwork for both surveys began in 2010. We focus on men and women aged 17–29 to present an accurate reflection of the contemporary situation, resulting initially in samples of 5,929 and 3,027 for Natsal-3 and FECOND respectively. Fieldwork for both surveys began in 2010. Natsal-3 used computer-assisted personal interviews (CAPI) with computer assisted self-administered interviews (CASI) for sensitive questions. FECOND was a telephone-survey, using landlines and mobiles. Natsal-3 used a multistage, clustered and stratified probability sampling strategy. In FECOND, two samples were independently selected to include a random sample of individuals who had a landline and a random sample of mobile phone users who did not, following a two stage random probability sampling process. Details of both methodologies are published elsewhere [25,26].

The response rate in the Natsal-3 survey was 57.7%. The data were weighted to adjust for unequal selection probabilities, and a non-response post-stratification weight corrected for differences in sex, age, and Government Office Region between the achieved sample and the 2011 census. In the FECOND survey, the total response rate was 50.2%. The data were weighted to adjust for unequal selection probabilities and post-stratification weights corrected for differences in sex, age, marital/cohabitation status, educational-level, professional situation, place of birth and dependent children between the achieved sample and the census. These surveys have the benefit of being conducted at the same point in time, and covered similar topics, facilitating comparability between the countries.

The key outcome variables are age at first heterosexual intercourse (dichotomised to before/after age 16), contraceptive-use at first sex, and among women only, reporting of a conception before age 20 and reporting of an abortion before age 20, among those who had conceived. Contraceptive-use at first intercourse was selected as an indicator of contraceptive-use over current use because we are interested in behaviours relating to conceptions before 20, and current use among older respondents may not accurately represent their contraceptive-use at younger ages. Contraception was defined as all medical methods of contraception and condoms.

The key independent variables in these analyses were respondent educational-level, an indicator of respondents’ individual social resources, and parental socioeconomic group, an indicator of respondents’ social origin. Respondent’s educational-level was defined as having completed some post-compulsory education or training versus having completed none, the latter being the reference category in logistic regression models. Sixteen year-olds were excluded from all analyses, as the school leaving age in both countries at the time of data collection was 16, so they may not have completed compulsory education at interview. Data on parental socioeconomic characteristics were collected differently in the two surveys; FECOND asked about parent’s educational-level, whereas Natsal-3 derived parent’s social class from parent’s occupation when the respondent was 14. We created a tiered variable with three tertiles in each country to capture relative socioeconomic group, on the grounds that educational-level is strongly associated with socioeconomic position [27]. Our data confirm this: 79% of participants aged 30–49 with a degree-level qualification in Natsal-3 and 74% in FECOND were in managerial and professional positions. In the British survey, we assigned parents who had never had a job or who were partly skilled or unskilled to the lower socioeconomic group, those in technical and skilled positions to the middle group, and those in professional and managerial occupations to the higher group. In the French survey, we assigned parents who had no qualifications to the lower group, those with baccalaureate or less to the middle group, and those with a degree-level qualification to the higher group. This variable measures relative, not absolute disadvantage. Non-response to questions on parent characteristics was relatively high–roughly ten percent–in both surveys (although missing data was less than 2% for all other variables [28]). Examination of item non-responders showed that on other characteristics they more closely resembled respondents from lower socioeconomic backgrounds. To avoid losing a large number of respondents from the analysis, and not bias the results towards respondents from higher socioeconomic groups, we created a fourth ‘not answered’ category, which we included in all analyses. We henceforth refer to this as parent relative socioeconomic group and those in the lower category are the reference category in logistic regression models.

Analysis

We first described the two survey samples of men and women aged 17–29 years in terms of educational-level, parental relative socioeconomic group, and the outcomes on the pathway to abortion, and described differences between Britain and France and between men and women. Each analysis was restricted to respondents who had had the chance to experience the outcome of interest, e.g. analyses of contraceptive-use at first sex were run on respondents who reported ever having had sex. We used bivariate and multivariable logistic regression to examine these associations, adjusting for family structure at age 14/15 (whether the respondent lived with both natural parents at this age) as this was identified as a potential confounder in bivariate analyses. For all outcomes except reporting of sex before 16, we adjusted for age at first sex. To assess whether the strength of the association between socioeconomic characteristics and outcomes differed between men and women and between Britain and France, we tested for interactions of each of the two socioeconomic variables with sex and with country. All analyses were run on complete cases. Analyses were run using Stata Version 14, using the svy set of commands to account for clustering in the sampling.

Results

Approximately two-thirds of women and men in Britain had completed any post-compulsory education (Table 1), while in France, 62% of men and 75% of women had completed any post-compulsory education. In both countries, less than 20% of men and women had parents in the lower socioeconomic group, roughly half in the middle group, and approximately one-quarter in the higher group.

Table 1. Characteristics of the sample in terms of socioeconomic characteristics and reporting of each outcome in the pathway to abortion, 17–29 year olds, Britain and France.

Britain France
Men Women Men Women
n, N* % (95%CI) n, N* % (95%CI) n, N* % (95%CI) n, N* % (95%CI)
Total N aged 17–29 2392 3327 1287 1740
Post-16 education or studying 1770, 2355 68.6 (66.4–70.8) 1763, 3271 67.2 (65.3–69.0) 1170, 1286 61.5 (58.0–64.8) 1812, 1738 75.1 (72.5–77.6)
Parent's socioeconomic group
    Lower 1763, 2320 17.1 (15.5–18.8) 1751, 3217 18.9 (17.4–20.4) 1171, 1287 17.3 (14.7–20.3) 1815, 1740 18.6 (16.4–20.9)
    Middle 1763, 2320 49.1 (46.7–51.5) 1751, 3217 49.8 (47.8–51.8) 1171, 1287 47.3 (44.1–50.6) 1815, 1740 44.8 (42.1–47.5)
    Higher 1763, 2320 24.6 (22.5–26.8) 1751, 3217 21.3 (19.7–23.0) 1171, 1287 24.5 (22.0–27.2) 1815, 1740 24.6 (22.4–26.9)
    Missing 1763, 2320 9.2 (8.0–10.7) 1751, 3217 10.0 (9.0–11.2) 1171, 1287 10.9 (9.0–13.1) 1815, 1740 12.1 (10.4–14.1)
Had first het sex before age 16 1757, 2308 26.6 (24.6–28.7) 1763, 3254 27.2 (25.5–29.0) 1149, 1266 27.0 (24.2–30.1) 1793, 1718 14.6 (12.8–16.6)
No contraception at first sex 1482, 1938 12.7 (11.1–14.6) 1520, 2854 12.0 (10.8–13.3) 979, 1077 6.9 (4.9–9.7) 1493, 1467 8.7 (6.9–10.9)
Conception before age 20 . . 1162, 2200 25.6 (23.7–27.5) . . 1079, 1123 15.5 (13.0–18.3)
Had an abortion before age 20, if conceived . . 298, 667 32.2 (28.3–36.5) . . 169, 136 18.4 (12.4–26.6)

* n = weighted denominator, N = unweighted denominator. For condom at first sex, denominator is respondents who have ever had sex; for reporting of a conception before 20, denominator is women aged 20 and over who were sexually experienced by age 20; for reporting of an abortion before 20, denominator is women aged 20 and over, reporting a conception before age 20.

We found important and statistically significant differences between Britain and France in the proportions of men and women reporting outcomes at each stage in the pathway to abortion (Table 1). There was no difference between the two countries in the proportion of men reporting first sex before 16. However, 27% of women in Britain reported this compared to 15% in France. A smaller proportion of respondents in France reported using no contraception at first sex than in Britain. In both countries, these proportions were similar between men and women. A greater proportion of sexually-experienced women in Britain compared to France reported a conception before 20 (26% and 16% respectively). Finally, our data show that the proportion of women reporting an abortion in the event of a conception before 20 was higher in Britain (32%) than France (18%).

First heterosexual sex before 16

In Britain, men and women with parents from a higher relative socioeconomic group were less likely to report sex before 16 than those with parents in a lower relative socioeconomic group (Table 2). In France, this was true only for men. The associations between parent relative socioeconomic group and reporting of sex before 16 were statistically significant in multivariate analyses only for men in Britain. In both countries, women and men with a higher educational-level were less likely to report sex before 16 in crude and multivariate analyses (Britain, men: aOR 0.5, women: aOR 0.4; France, men: aOR 0.5, women: aOR 0.5).

Table 2. Prevalence and odds of reporting first sex before 16 by parent socioeconomic group and individual level of education, 17–29 year olds, Britain and France.

Britain
Men Women
n, N* %(95% CI) cOR(95%CI) P-value aOR and 95% CI P-value n, N* %(95% CI) cOR(95%CI) P-value aOR and 95% CI P-value
Parent's socioeconomic group
Lower 289, 408 29.33 (24.79–34.33) 1 . 1 . 324, 618 30.50 (26.67–34.62) 1 . 1 .
Middle 843, 1092 27.68 (24.86–30.70) 0.92 (0.70–1.21) 0.558 1.09 (0.82–1.46) 0.54 858, 1568 26.84 (24.58–29.23) 0.84 (0.67–1.04) 0.101 1.10 (0.87–1.38) 0.419
Higher 428, 529 17.43 (14.23–21.17) 0.51 (0.37–0.70) <0.001 0.70 (0.50–0.99) 0.044 369, 634 20.58 (17.44–24.12) 0.59 (0.45–0.77) <0.001 0.87 (0.65–1.16) 0.338
Not answered 155, 217 36.54 (29.77–43.89) 1.39 (0.96–2.01) 0.084 1.14 (0.76–1.70) 0.537 169, 335 30.26 (25.20–35.86) 0.99 (0.72–1.35) 0.943 0.93 (0.67–1.29) 0.674
Post-16 education or studying
None 522, 714 40.87 (36.89–44.98) 1 . 1 . 558, 1168 40.62 (37.51–43.82) 1 . 1 .
Some 1192, 1557 21.06 (18.85–23.46) 0.39 (0.31–0.48) <0.001 0.45 (0.36–0.57) <0.001 1170, 2030 21.31 (19.43–23.32) 0.40 (0.33–0.47) <0.001 0.44 (0.37–0.53) <0.001
France
Men Women
n, N* %(95% CI) cOR(95%CI) P-value aOR and 95% CI P-value n, N* %(95% CI) cOR(95%CI) P-value aOR and 95% CI P-value
Parent's socioeconomic group
Lower 196, 178 32.80 (25.08–41.59) 1 . 1 . 335, 291 15.01 (10.96–20.21) 1 . 1 .
Middle 552, 622 26.53 (22.46–31.03) 0.74 (0.48–1.14) 0.176 0.88 (0.55–1.40) 0.584 801, 799 14.65 (12.08–17.65) 0.97 (0.64–1.49) 0.895 1.08 (0.70–1.66) 0.742
Higher 284, 352 22.49 (17.68–28.16) 0.59 (0.37–0.96) 0.035 0.88 (0.52–1.50) 0.637 442, 452 12.92 (9.83–16.80) 0.84 (0.52–1.35) 0.472 1.07 (0.65–1.76) 0.781
Not answered 117, 114 30.71 (22.28–40.67) 0.91 (0.51–1.62) 0.743 0.79 (0.43–1.46) 0.456 214, 176 17.23 (11.96–24.19) 1.18 (0.67–2.06) 0.564 0.87 (0.48–1.57) 0.643
Post-16 education or studying
None 441, 348 36.16 (30.53–42.18) 1 . 1 . 438, 323 22.50 (17.98–27.78) 1 . 1 .
Some 708, 917 21.35 (18.38–24.66) 0.48 (0.35–0.66) <0.001 0.52 (0.37–0.73) <0.001 1352, 1393 12.07 (10.29–14.11) 0.47 (0.34–0.66) <0.001 0.50 (0.34–0.71) <0.001

*n = weighted denominator, N = unweighted denominator. aOR adjusted for family structure at age 14/15

Contraception at first sex

In Britain and France, women with parents from a middle or higher relative socioeconomic group, and men with parents from a higher socioeconomic group were less likely to report using no contraception at first sex (Table 3). In multivariate analyses, the association between parent relative socioeconomic group and reporting of no contraceptive-use at first sex was significant among women in Britain and France, and men in France. In both countries, men and women with a higher educational-level were less likely to report no contraception at first sex in crude and multivariate analyses (Britain, men: aOR 0.4, women: aOR 0.6; France, men: aOR 0.4, women: aOR 0.3).

Table 3. Prevalence and odds of reporting no contraceptive use at first sex by parent socioeconomic group and individual level of education, 17–29 year olds, Britain and France.

Britain
Men Women
n, N* %(95% CI) cOR(95%CI) P-value aOR and 95% CI P-value n, N* %(95% CI) cOR(95%CI) P-value aOR and 95% CI P-value
Parent's socioeconomic group
Lower 234, 332 15.92 (11.92–20.94) 1 . 1 . 279, 544 16.16 (13.09–19.79) 1 . 1 .
Middle 717, 927 12.37 (10.09–15.08) 0.75 (0.50–1.11) 0.146 0.77 (0.51–1.16) 0.217 747, 1396 8.93 (7.47–10.65) 0.51 (0.37–0.70) <0.001 0.53 (0.39–0.74) <0.001
Higher 366, 446 9.42 (6.78–12.95) 0.55 (0.34–0.89) 0.014 0.75 (0.45–1.23) 0.248 315, 538 10.09 (7.49–13.48) 0.58 (0.39–0.88) 0.01 0.64 (0.42–0.98) 0.039
Not answered 129, 181 14.02 (9.13–20.94) 0.86 (0.47–1.56) 0.623 0.78 (0.42–1.45) 0.43 138, 285 20.34 (15.70–25.93) 1.32 (0.89–1.96) 0.161 1.08 (0.71–1.65) 0.716
Post-16 education or studying
None 471, 644 19.87 (16.40–23.86) 1 . 1 . 518, 1093 15.21 (13.07–17.63) 1 . 1 .
Some 980, 1265 8.76 (7.13–10.71) 0.39 (0.28–0.53) <0.001 0.43 (0.30–0.61) <0.001 974, 1713 9.44 (7.95–11.17) 0.58 (0.45–0.75) <0.001 0.62 (0.47–0.81) 0.001
France
Men Women
n, N* %(95% CI) cOR(95%CI) P-value aOR and 95% CI P-value n, N* %(95% CI) cOR(95%CI) P-value aOR and 95% CI P-value
Parent's socioeconomic group
Lower 164, 151 13.93 (6.71–26.69) 1 . 1 . 277, 244 17.84 (11.95–25.79) 1 . 1 .
Middle 478, 530 6.42 (4.00–10.16) 0.42 (0.16–1.10) 0.077 0.49 (0.19–1.26) 0.139 673, 693 4.72 (3.11–7.10) 0.23 (0.12–0.43) <0.001 0.30 (0.16–0.56) <0.001
Higher 246, 305 1.36 (0.60–3.06) 0.09 (0.03–0.27) <0.001 0.15 (0.05–0.46) 0.001 368, 385 6.44 (3.85–10.58) 0.32 (0.15–0.65) 0.002 0.53 (0.26–1.06) 0.074
Not answered 92, 91 11.63 (6.01–21.29) 0.81 (0.27–2.40) 0.708 0.78 (0.27–2.28) 0.646 175, 145 14.43 (9.24–21.83) 0.78 (0.39–1.55) 0.472 0.61 (0.30–1.25) 0.177
Post-16 education or studying
None 386, 312 12.35 (7.83–18.93) 1 . 1 . 394, 289 16.96 (12.19–23.10) 1 . 1 .
Some 593, 765 3.35 (2.21–5.04) 0.25 (0.13–0.48) <0.001 0.39 (0.19–0.80) 0.010 1097, 1176 5.77 (4.28–7.73) 0.30 (0.18–0.49) <0.001 0.34 (0.20–0.58) <0.001

*n = weighted denominator, N = unweighted denominator. Denominator restricted to respondents who had ever had sex. aOR adjusted for family structure at age 14/15 and age at first sex

Conception before 20

In both countries, women with parents from middle and higher relative socioeconomic groups were less likely to report conceiving before 20 (Table 4). In multivariate analyses this association remained significant only in Britain. Women with a higher educational-level were less likely to report conceiving before 20 in both countries in crude and multivariate analyses (Britain: aOR 0.3; France: aOR 0.1).

Table 4. Prevalence and odds of reporting a conception before age 20 by parent socioeconomic group and individual level of education, 17–29 year olds, Britain and France.

Britain
Women
n, N* %(95% CI) cOR(95%CI) P-value aOR and 95% CI P-value
Parent's socioeconomic group
Lower 228, 442 34.42 (29.83–39.31) 1 . 1 .
Middle 563, 1057 21.79 (19.30–24.51) 0.53 (0.41–0.69) <0.001 0.73 (0.55–0.98) 0.035
Higher 232, 399 13.96 (11.07–17.45) 0.31 (0.22–0.43) <0.001 0.58 (0.40–0.84) 0.004
Not answered 107, 231 40.76 (34.12–47.75) 1.31 (0.93–1.86) 0.127 1.10 (0.72–1.66) 0.667
Post-16 education or studying
None 442, 943 44.28 (40.88–47.74) 1 . 1 .
Some 700, 1220 13.84 (11.94–15.99) 0.20 (0.16–0.25) <0.001 0.27 (0.21–0.35) <0.001
France
Women
n, N* %(95% CI) cOR(95%CI) P-value aOR and 95% CI P-value
Parent's socioeconomic group
Lower 196, 188 21.67 (15.24–29.85) 1 . 1 .
Middle 485, 530 13.01 (9.84–17.03) 0.54 (0.32–0.92) 0.024 0.60 (0.33–1.06) 0.079
Higher 269, 297 6.65 (3.66–11.78) 0.26 (0.12–0.55) <0.001 0.61 (0.27–1.41) 0.25
Not answered 129, 108 33.61 (24.28–44.42) 1.83 (0.98–3.43) 0.059 0.96 (0.47–1.97) 0.912
Post-16 education or studying
None 330, 249 38.03 (31.51–45.01) 1 . 1 .
Some 746, 872 5.33 (3.89–7.27) 0.09 (0.06–0.14) <0.001 0.12 (0.07–0.20) <0.001

*n = weighted denominator, N = unweighted denominator. Denominator restricted to women aged 20 and over, sexually experienced by age 20. aOR adjusted for family structure at age 14/15 and age at first sex.

Abortion before 20, where conception occurred

In Britain, women with parents from a higher relative socioeconomic group were more likely to report an abortion in the event of conceiving before age 20 than those with parents from a lower socioeconomic group (Table 5). In multivariate analyses this association was not statistically significant. In Britain, women with a higher educational-level were more likely to report an abortion in the event of conceiving before 20 in crude and multivariate analyses (Britain: aOR 3.1).

Table 5. Prevalence and odds of reporting an abortion before age 20, among women who conceived before age 20, by parent socioeconomic group and individual level of education, 17–29 year olds, Britain and France.

Britain
Women
n, N* %(95% CI) cOR(95%CI) P-value aOR and 95% CI P-value
Parent's socioeconomic group
Lower 80, 176 31.85 (24.61–40.09) 1 . 1 .
Middle 122, 269 33.44 (27.27–40.24) 1.08 (0.69–1.68) 0.75 0.91 (0.56–1.50) 0.718
Higher 33, 69 51.10 (38.23–63.84) 2.24 (1.21–4.15) 0.011 1.57 (0.83–3.00) 0.167
Not answered 44, 104 16.88 (9.67–27.83) 0.43 (0.21–0.91) 0.027 0.37 (0.18–0.79) 0.01
Post-16 education or studying
None 196, 457 23.44 (19.51–27.89) 1 . 1 .
Some 98, 198 50.68 (42.67–58.65) 3.36 (2.26–4.99) <0.001 3.14 (2.05–4.80) <0.001
France
Women
n, N* %(95% CI) cOR(95%CI) P-value aOR and 95% CI P-value
Parent's socioeconomic group
Lower 43, 33 16.90 (7.21–34.71) 1 . 1 .
Middle 63, 53 15.79 (8.05–28.65) 0.92 (0.27–3.14) 0.897 0.75 (0.22–2.54) 0.645
Higher 18, 16 17.81 (4.83–48.06) 1.07 (0.19–6.08) 0.943 0.93 (0.13–6.99) 0.948
Not answered 45, 34 23.91 (11.48–43.21) 1.55 (0.42–5.71) 0.514 1.18 (0.31–4.49) 0.811
Post-16 education or studying
None 127, 88 17.63 (10.74–27.58) 1 . 1 .
Some 40, 47 18.20 (8.84–33.79) 1.04 (0.38–2.86) 0.94 1.25 (0.38–4.16) 0.715

*n = weighted denominator, N = unweighted denominator. Denominator restricted to women aged 20 and over, reporting a conception before age 20. aOR adjusted for family structure at age 14/15 and age at first sex.

With each sequential stage in the pathway to abortion, the composition of the sample reporting that outcome changes, reflecting the associations described above between socioeconomic characteristics and sexual health behaviours and outcomes. Fig 1 shows the percentage with no post-compulsory education among all women aged 20–29, those reporting first sex before 16, not using contraception at first sex, reporting a conception before 20 (among those sexually experienced), and not reporting an abortion (among those who conceived). This illustrates how at each successive outcome, the composition of the sample reporting that outcome becomes increasingly disadvantaged (in this case less educated) compared to the whole population and the preceding stage.

Fig 1. Distribution of level of education among women reporting successive sexual health outcomes, 20-29s, Britain and France.

Fig 1

For contraception at first sex, denominator is women who have ever had sex; for conceptions before 20, denominator is women aged 20 and over who were sexually experienced by age 20; for no abortion if conceived before 20, denominator is women aged 20 or over who reported a conception before age 20.

In Britain and France, testing for interactions found no evidence of differences between men and women in the strength of the association between socioeconomic characteristics and sex before 16 or contraceptive-use at first sex. The strength of the association between socioeconomic characteristics and each outcome was also remarkably similar between countries. There was no evidence of between-country differences in the strength of the association between parent relative socioeconomic group and any of the outcomes, or in the association between respondent educational-level and sex before 16 or contraceptive-use at first sex. The association between respondent educational-level and conception before 20 among women was stronger in France than in Britain (interaction term 0.49, p<0.01), and the association between respondent educational-level and abortion in the event of conception was statistically significant in Britain but not France (interaction term 0.28, p = 0.02).

Discussion

To our knowledge, this is the first paper to consider associations with socioeconomic characteristics at each stage in the pathway to abortion, and to examine whether the associations observed differ between men and women and cross-nationally. The findings reveal both notable differences and remarkable similarities between Britain and France in terms of sexual behaviour, contraceptive-use and reproductive events reported by young men and women. At each stage of the process leading to abortion, Britain and France differed in the proportion reporting each outcome, yet showed a similar association with socioeconomic characteristics. In both countries, and consistent with previous literature [4,6,7,9,13,14], there was a cumulative pattern with socioeconomic characteristics in the pathway to abortion whereby respondents with less education (and, less consistently, with parents from a lower socioeconomic group) were more likely to report first sex before 16, to not use contraception at first sex, and among women, to report a pregnancy before 20 and to take it to term if they did.

We found evidence of interactions only in the associations between educational-level and conception and recourse to abortion before 20 among women. The association between educational-level and conception before 20 was stronger in France than Britain, while the association between educational-level and recourse to abortion before 20 was strong in Britain but not statistically significant in France, suggesting that abortion decision-making may be more socially-stratified in Britain. These findings should be interpreted with caution. Since we found no evidence for between-country differences in the associations between socioeconomic characteristics and sexual activity and contraceptive-use, the ‘antecedents’ of conception and abortion, between-country differences in the associations between educational-level and conception and abortion outcomes might result from differential misclassification that results from underreporting of abortion in both surveys [29], combined with small numbers reporting these outcomes. With a larger sample, the association between educational-level and recourse to abortion in France may have reached statistical significance.

Britain and France both have comprehensive health and social welfare systems. However, Britain is a society that is more marked by socioeconomic inequalities than France [21,20]. As has been demonstrated previously in both countries [4,6,7,9,13,14], sexual and reproductive health outcomes were associated with socioeconomic characteristics, particularly educational-level. We found no strong evidence for our first hypothesis that in a context of greater socioeconomic inequality (Britain) the association between socioeconomic status and sexual and reproductive health outcomes would be stronger. However, our results suggest that population-level differences in prevalence of sexual health outcomes may be partly driven by country-level differences in inequality and degree of socioeconomic disadvantage. There are striking differences in population-level conception and abortion rates among under-20s obtained from national statistics between Britain and France, yet the associations between socioeconomic characteristics and the sexual and reproductive health outcomes studied in this paper are similar in both countries. The greater levels of social inequality in Britain compared to France means that a greater proportion of young people in Britain are disadvantaged [21,30]. The differences in conception and abortion rates between the two countries may be due in part to differences in the proportion of individuals that are more ‘at risk’ of experiencing these outcomes. Whilst this hypothesis as an explanation for cross-national differences in teenage conception rates has been proposed before [10,24], to our knowledge, it has not been examined empirically. Our use of high quality, nationally-representative, individual-level data are further strengths of this paper.

Other social-contextual factors may also be important, particularly those that affect young people or relate to their motivations to avoid pregnancy. Young parenthood can be an alternative means of attaining an adult social status among those to whom traditional routes, through education and employment, seem less attainable [5]. Van de Velde [31] argues that the transition to adulthood is experienced differently in Britain and France, with a rapid transition to independence in Britain, whilst in France youth is considered a time of investment, with a focus on education. In France, therefore, becoming a parent early goes very much against social norms, whilst in Britain it can be compatible with a transition to adulthood that encourages early independence. Motivations to avoid or delay parenthood translate into sexual behaviours and contraceptive-use; young people for whom education is important may prioritise this over romantic relationships and sexual initiation [32], and may be more committed to using contraception consistently and effectively.

There was no evidence that the associations between socioeconomic characteristics and sexual activity or contraceptive-use at first sex varied between men and women in either country, or of gender differences in the proportion reporting no contraception at first sex. However, in France but not Britain, fewer women than men reported first sex before 16. In France, it appears that although social disadvantage is important in shaping the timing of first sex, shown in the greater proportion of respondents with a lower educational-level reporting sex before 16, it is also perhaps a more strongly gendered event than in Britain. Previous research has shown larger age gaps between partners at first sex in France than in Britain [29], which may also reflect more strongly gendered social norms. These specific gender differences present in France but not Britain highlight the important role of country context; these more gendered elements of first sex in France may reflect a more gender unequal social structure [18,29].

In both countries, the respondent’s social origin (parent relative socioeconomic group) was less consistently associated with each outcome than the respondent’s social resources (respondent educational-level). This may reflect the declining social control of families in European societies, a result of which is that regulation of young people’s sexuality is increasingly governed more by peers than by parents [33]. It is therefore not surprising to find a less-marked association with social origin than individual social resources. Leaving school at 16 reflects a different expected trajectory, different peers and a different social milieu compared to continuing education; this translates into differences in behaviours.

Between-country differences in health care systems may affect young people’s contraceptive-use. In Britain, contraception is available free of charge and without age-related restriction, from multiple sources [34]. In France, contraception is partially reimbursed by health insurance, but under-18s are under parental health cover so can access it anonymously and for free only through family planning clinics which are unevenly distributed across the country [35]. In this analysis, greater access to contraception in Britain did not translate into smaller socioeconomic disparities in contraceptive-use among young people relative to France. This, and the finding that more young people in France use contraception at first sex despite greater availability in Britain, further supports the contention that social-contextual factors affecting young people’s motivations to avoid pregnancy and parenthood shape sexual and reproductive health outcomes.

Strengths and limitations

Key strengths of this study include being able to analyse broadly comparable, individual-level data from national probability surveys from two countries to contrast how two commonly-used indicators of socioeconomic status relate to a number of sexual and reproductive health outcomes experienced on the pathway to abortion. Although data on parental characteristics were collected differently in the two surveys, which may capture different elements of socioeconomic position in Britain and France, we were able to create a relative measure by constructing a tiered variable.

Contraceptive-use at first sex as an indicator of contraceptive-use at a young age is a crude indicator that does not capture all the nuances of contraceptive-use, for example method choice or consistency of use, both of which may change over time [36](. That said, contraceptive-use at first sex is an indicator of contraceptive-use for all sexually experienced respondents, not just those currently sexually active, and previous research has shown that contraceptive-use at first sex is a strong predictor of current contraceptive-use among young people [37](.

As this is a cross-sectional study, we can neither assume causality nor rule out reverse causality. Educational-level might influence an individual’s timing of sexual debut or their likelihood of becoming pregnant or having an abortion before age 20 [38]. However, it is also possible that a conception or abortion before age 20, or early sexual debut, might influence an individual’s likelihood of continuing education [3941]. This might also differ between the two countries. If young women in Britain are less likely to continue with their education after an abortion, but their French counterparts are not, this may partly explain our finding that level of education was associated with recourse to abortion in Britain but not in France. Further research using longitudinal data would enhance our understanding of the direction of these associations.

Although in previous Natsal surveys reporting of abortions has been high [42](, abortions are underreported in both surveys [29]. This affects the accuracy of both the conception and the abortion figures. Of greater concern for this study is that underreporting is not random. In the US National Survey of Family Growth, reporting varied by age, income and educational-level [43]. If reporting is biased towards women in higher socioeconomic groups, our study may underestimate the associations between socioeconomic status and conception and abortion. Another consequence of underreporting is that the numbers reporting abortion in both surveys are low, particularly in France where abortion is rarer and the sample size smaller, making interpretation of results more difficult due to lack of statistical power. However, detailed data on sexual behaviour and contraception, factors ‘upstream’ from conception and abortion, can inform the interpretation of our findings on conception and abortion.

The associations observed in this study may also have been biased by differential reporting of sexual debut and contraceptive-use among people of different socioeconomic status or between men and women. This would undermine the between-country comparisons if this bias differed between Natsal-3 and FECOND. For example, if in France but not in Britain, strong social norms around male and female sexuality led to men over reporting and women underreporting sex before age 16, the reported differences between men and women in age at first sex observed in France but not in Britain might reflect social influences on reporting rather than a true difference in behaviours.

Conclusions

Conception and abortion rates observed in national statistics are markedly higher in Britain than in France, yet in both countries there is a strong and similar association between socioeconomic characteristics and outcomes at each stage in the pathway to abortion. Britain is a society marked by higher levels of disadvantage compared to France [21,30] and this analysis lends empirical support to the hypothesis that population-level differences in conception and abortion rates may be partly attributable to a greater proportion of the population that is disadvantaged and more ‘at risk’ [10,24]. Differences in broader social-contextual factors may also influence young people’s behaviours and decision-making. Differences in the way in which the transition to adulthood is experienced in the two countries may mean that motivations to avoid or delay pregnancy may be lesser in Britain. In addition, gender differences in the timing of sexual debut in France but not Britain suggest that more strongly gendered social norms in France might also shape sexual behaviours. Future research should explore the mechanisms through which social disadvantage affects sexual behaviour and contraceptive use, paying particular attention to motivations to avoid pregnancy.

Supporting information

S1 Full Methods

(DOCX)

Acknowledgments

Natsal-3 is a collaboration between University College London, the London School of Hygiene & Tropical Medicine, NatCen Social Research, Public Health England (formerly the Health Protection Agency), and the University of Manchester. We thank the study participants, the team of interviewers from NatCen Social Research who carried out the interviews, and operations and computing staff from NatCen Social Research.

The FECOND team is made up of: N. Bajos and C. Moreau (principal investigators), A. Bohet (coordinator), A. Andro, L. Aussel, J. Bouyer, G. Charrance, C. Debest, D. Dinova, D. Hassoun, M. Le Guen, S. Legleye, E. Marsicano, M. Mazuy, E. Moreau, H. Panjo, N. Razafindratsima, A. Régnier-Loilier, V. Ringa, E. de La Rochebrochard, V. Rozée, M. Teboul, L. Toulemon, and C. Ventola. We thank the study participants and the team of interviewers who carried out the fieldwork.

Data Availability

The Natsal-3 dataset is publicly available from the UK Data Service: https://discover.ukdataservice.ac.uk/; SN: 7799; persistent identifier: 10.5255/UKDASN-77991-1. The authors do not own the data from the FECOND study, and so we are not able to upload a data set. Data from the FECOND study may be requested from Caroline Moreau, who can be contacted at caroline.moreau@inserm.fr.

Funding Statement

Natsal-3 was supported by grants from the Medical Research Council [G0701757]; and the Wellcome Trust [084840]; with contributions from the Economic and Social Research Council and Department of Health. The FECOND survey was funded by the French National Institute for Health and Medical Research (INSERM) and the French National Institute for Demographic Research (INED). RS was funded by the Economic and Social Research Council. The funders played no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript. The corresponding author had full access to all the data in the study and had final responsibility for the decision to submit for publication.

References

  • 1.Sedgh G, Finer LB, Bankole A, Eilers MA, Singh S. Adolescent Pregnancy, Birth, and Abortion Rates Across Countries: Levels and Recent Trends. J Adolesc Heal 2015;56:223–30. doi: 10.1016/j.jadohealth.2014.09.007 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Conrad D. Deprivation-based inequalities in under-18 conception rates and the proportion of under-18 conceptions leading to abortion in England, 1998–2010. J Public Health (Oxf) 2012:1–6. doi: 10.1093/pubmed/fds031 [DOI] [PubMed] [Google Scholar]
  • 3.Kneale D, Fletcher A, Wiggins R, Bonell C. Distribution and determinants of risk of teenage motherhood in three British longitudinal studies: implications for targeted prevention interventions. J Epidemiol Community Health 2013;67:48–55. doi: 10.1136/jech-2011-200867 [DOI] [PubMed] [Google Scholar]
  • 4.Wellings K, Nanchahal K, Macdowall W, McManus S, Erens B, Mercer CH, et al. Sexual behaviour in Britain: early heterosexual experience. Lancet 2001;358:1843–50. doi: 10.1016/S0140-6736(01)06885-4 [DOI] [PubMed] [Google Scholar]
  • 5.Le Van C. La grossesse à l’adolescence: Un acte socialement déviant? Adolescence 2006;55:225 doi: 10.3917/ado.055.0225 [Google Scholar]
  • 6.Sihvo S, Bajos N, Ducot B, Kaminski M. Women’s life cycle and abortion decision in unintended pregnancies. J Epidemiol Community Heal 2003;57:601–5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Bajos N, Guillaume A, Kontula O. Reproductive health behaviour of young Europeans. Volume 1 Strasbourg: Editions du Conseils de l’Europe; 2003. [Google Scholar]
  • 8.Rossier C, Michelot F, Bajos N, Group C. Modeling the Process Leading to Abortion: An Application to French Survery Data. Population (Paris) 2007;38:163–72. [DOI] [PubMed] [Google Scholar]
  • 9.Bozon M. First intercourse and first relationship: Long anticipated transitions In: Bajos N, Bozon M, editors. Sex Fr Pract Gend Heal, Oxford: The Bardwell Press; 2012. [Google Scholar]
  • 10.Singh BS, Darroch JE, Frost JJ, The Study Team. Socioeconomic Disadvantage and Adolescent Women’s Sexual and Reproductive Behavior: The Case of Five Developed Countries. Fam Plann Perspect 2001;33:251–8 & 289. [PubMed] [Google Scholar]
  • 11.Wight D, Williamson L, Henderson M. Parental influences on young people’s sexual behaviour: a longitudinal analysis. J Adolesc 2006;29:473–94. doi: 10.1016/j.adolescence.2005.08.007 [DOI] [PubMed] [Google Scholar]
  • 12.Moreau C, Bajos N. Activité sexuelle, IST, contraception: une situation stabilisée. Baromètre santé/Attitudes Comport Santé 2005:329–53. [Google Scholar]
  • 13.Lee E, Clements S, Ingham R, Stone N. Influences on young women’s decisions about abortion or motherhood The Joseph Rowntree Foundation; 2004. [Google Scholar]
  • 14.Le Van C. La grossesse a l’adolescence: Normes sociales, réalités vécues Paris: L’Harmattan; 1998. [Google Scholar]
  • 15.Lee E, Clements S, Ingham R, Stone N. A matter of choice? Explaining national variation in teenage abortion and motherhood The Joseph Rowntree Foundation; 2004. doi: 10.1038/nmat2829 [Google Scholar]
  • 16.Jewell D, Tacchi J, Donovan J. Teenage pregnancy: whose problem is it? Fam Pract 2000;17:522–8. [DOI] [PubMed] [Google Scholar]
  • 17.Bonell C, Strange VJ, Stephenson JM, Oakley AR, Copas AJ, Forrest SP, et al. Effect of social exclusion on the risk of teenage pregnancy: development of hypotheses using baseline data from a randomised trial of sex education. J Epidemiol Community Health 2003;57:871–6. doi: 10.1136/jech.57.11.871 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Bajos N, Marquet J. Research on HIV sexual risk: Social relations-based approach in a cross-cultural perspective. Soc Sci Med 2000;50:1533–46. doi: 10.1016/S0277-9536(99)00463-3 [DOI] [PubMed] [Google Scholar]
  • 19.Marston C, King E. Factors that shape young people’s sexual behaviour: a systematic review. Lancet 2006;368:1581–6. doi: 10.1016/S0140-6736(06)69662-1 [DOI] [PubMed] [Google Scholar]
  • 20.OECD. Income inequality data update and policies impacting income distribution: United Kingdom; 2015:1–4. [Google Scholar]
  • 21.OECD. Divided We Stand: Why Inequality Keeps on Rising. OECD; 2011. [Google Scholar]
  • 22.Wilkinson R, Pickett K. The Spirit Level: Why More Equal Societies Almost Always Do Better. London: Penguin; 2009. [Google Scholar]
  • 23.Arai L. Low expectations, sexual attitudes and knowledge: explaining teenage pregnancy and fertility in English communities. Insights from qualitative research. Sociol Rev 2008;51:199–217. doi: 10.1111/1467-954X.00415 [Google Scholar]
  • 24.Santelli J, Schalet AT. A New Vision for Adolescent Sexual and Reproductive Health. ACT for Youth; 2009. [Google Scholar]
  • 25.Erens B, Phelps A, Clifton S, Mercer CH, Tanton C, Hussey D, et al. Methodology of the third British National Survey of Sexual Attitudes and Lifestyles (Natsal-3). Sex Transm Infect 2014;90:84–9. doi: 10.1136/sextrans-2013-051359 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Legleye S, Charrance G, Razafindratsima N, Bohet a., Bajos N, Moreau C. Improving Survey Participation: Cost Effectiveness of Callbacks to Refusals and Increased Call Attempts in a National Telephone Survey in France. Public Opin Q 2013;77:666–95. doi: 10.1093/poq/nft031 [Google Scholar]
  • 27.Krieger N, Williams DR, Moss NE. Measuring social class in US public health research: concepts, methodologies, and guidelines. Annu Rev Public Health 1997;18:341–78. doi: 10.1146/annurev.publhealth.18.1.341 [DOI] [PubMed] [Google Scholar]
  • 28.Mercer CH, Tanton C, Prah P, Erens B, Sonnenberg P, Clifton S, et al. Changes in sexual attitudes and lifestyles in Britain through the life course and over time: findings from the National Surveys of Sexual Attitudes and Lifestyles (Natsal). Lancet 2013;382:1781–94. doi: 10.1016/S0140-6736(13)62035-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Scott R. Understanding differences in conception and abortion rates among under 20s in Britain and France: Examining the role of disadvantage. PhD thesis: London School of Hygiene and Tropical Medicine, 2016.
  • 30.UNICEF Office of Research. Child well-being in rich countries: a comparative overview Innocenti Rep Card 11, Florence: UNICEF Office of Research; 2013. [Google Scholar]
  • 31.Van de Velde C. Devenir Adulte: Sociologie comparée de la jeunesse en Europe Paris: Presse Universitaire de France; 2008. [Google Scholar]
  • 32.Bozon M, Kontula. Sexual Initiation and Gender in Europe In: Hubert M, Bajos N, Sandfort T, editors. Sex Behav HIV/AIDS Eur Comp Natl Surv, London: UCL Press; 1998. [Google Scholar]
  • 33.Bozon M. Sociologie de la sexualité Paris: Armand Colin; 2013. [Google Scholar]
  • 34.Wellings K. Teenage Sexual and Reproductive Behavior in Developed Countries: Country Report For Great Britain. New York: 2001.
  • 35.Bajos N, Durand S. Teenage Sexual and Reproductive Behavior in Developed Countries: Country Report For France 2001.
  • 36.Hall KS, Moreau C, Trussell J, Barber J. Role of young women’s depression and stress symptoms in their weekly use and nonuse of contraceptive methods. J Adolesc Heal 2013;53:241–8. doi: 10.1016/j.jadohealth.2013.02.009 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Shafii T, Stovel K, Holmes K. Association between condom use at sexual debut and subsequent sexual trajectories: A longitudinal study using biomarkers. Am J Public Health 2007;97:1090–5. doi: 10.2105/AJPH.2005.068437 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Kiernan K. Becoming a Young Parent: A Longitudinal Study of Associated Factors. Br J Sociol 1997;48:406–28. [PubMed] [Google Scholar]
  • 39.Spriggs A, Halpern CT. Timing of Sexual Debut and Initiation Of Postsecondary Education by Early Adulthood. Perpectives Sex Reprod Heal 2008;40:12–161. doi: 10.1363/4015208 [DOI] [PubMed] [Google Scholar]
  • 40.Parkes A, Wight D, Henderson M, West P. Does early sexual debut reduce teenagers â€TM participation in tertiary education? Evidence from the SHARE longitudinal study. J Adolesc 2010;33:741–54. doi: 10.1016/j.adolescence.2009.10.006 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Hofferth SL, Reid L, Mott FL. The Effects of Early Childbearing On Schooling over Time. Fam Plann Perspect 2001;33:259–67. [PubMed] [Google Scholar]
  • 42.Copas A, Wellings K, Mercer C, McManus S, Fenton K, Korovessis C, et al. The accuracy of reported sensitive sexual behaviour in Britain: exploring the extent of change 1990–2000. Sex Transm Infect 2002;78:26–30. doi: 10.1136/sti.78.1.26 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Jones RK, Kost K. Underreporting of induced and spontaneous abortion in the United States: An analysis of the 2002 National Survey of Family Growth. Stud Fam Plann 2007;38:187–97. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

S1 Full Methods

(DOCX)

Data Availability Statement

The Natsal-3 dataset is publicly available from the UK Data Service: https://discover.ukdataservice.ac.uk/; SN: 7799; persistent identifier: 10.5255/UKDASN-77991-1. The authors do not own the data from the FECOND study, and so we are not able to upload a data set. Data from the FECOND study may be requested from Caroline Moreau, who can be contacted at caroline.moreau@inserm.fr.


Articles from PLoS ONE are provided here courtesy of PLOS

RESOURCES