Volume 103, Issue 2 pp. 85-99
Original Research Article
Full Access

Epidemiology of twinning in the National Birth Defects Prevention Study, 1997 to 2007

April L. Dawson

Corresponding Author

April L. Dawson

National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention (CDC), Atlanta, Georgia

Oak Ridge Institute for Science and Education, Oak Ridge, Tennessee

Correspondence to: April L. Dawson, 1600 Clifton Road, MS-E86, Atlanta, GA 30333. E-mail: [email protected]Search for more papers by this author
Sarah C. Tinker

Sarah C. Tinker

National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention (CDC), Atlanta, Georgia

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Denise J. Jamieson

Denise J. Jamieson

National Center for Chronic Disease Prevention and Health Promotion, CDC, Atlanta, Georgia

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Charlotte A. Hobbs

Charlotte A. Hobbs

College of Medicine, University of Arkansas for Medical Sciences, Little Rock, Arkansas

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Sonja A. Rasmussen

Sonja A. Rasmussen

Office of Infectious Diseases, CDC, Atlanta, Georgia

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Jennita Reefhuis

Jennita Reefhuis

National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention (CDC), Atlanta, Georgia

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the National Birth Defects Prevention Study

the National Birth Defects Prevention Study

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First published: 31 October 2014
Citations: 9

Presented as posters at the 15th Annual Meeting of the National Birth Defects Prevention Network., February 27–29, 2012, Arlington, VA; and the 17th Annual Maternal and Child Health Epidemiology Conference, December 14–16, 2011, New Orleans, LA.

This research was supported in part by appointments to the Research Participation Program at the Centers for Disease Control and Prevention administered by the Oak Ridge Institute for Science and Education through an interagency agreement between the U.S. Department of Energy and CDC. This work was supported through cooperative agreements under PA 96043, PA 02081, and FOA DD09-001 from the Centers for Disease Control and Prevention to the Centers for Birth Defects Research and Prevention participating in the National Birth Defects Prevention Study.

The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention.

Abstract

Background

Our objective was to evaluate associations between twinning and maternal demographic factors and periconceptional exposures among infants with and without orofacial clefts.

Methods

We used data from the National Birth Defects Prevention Study; 228 twins and 8242 singletons without birth defects (controls), and 117 twins and 2859 singletons with orofacial clefts, born 1997 to 2007, were included in the analyses. Because of the occurrence of twinning due to the use of assisted reproductive technologies, logistic regression models were computed to estimate odds ratios and 95% confidence intervals for each exposure, stratified by fertility treatment use. To evaluate factors by zygosity, we used sex-pairing data and a simulation approach to estimate the zygosity of like-sex twin pairs for unassisted conceptions.

Results

Among control mothers who did not use fertility treatments, predictors of twinning included non-Hispanic black maternal race (adjusted odds ratio, 1.6; 95% confidence interval, 1.0–2.4), and tobacco smoking (adjusted odds ratio, 1.6; 95% confidence interval, 1.1–2.4). Among control mothers who used fertility treatments, older maternal age, higher income, and state of residence were associated with twinning. Associations were generally stronger among mothers of dizygotic (estimated) twins than monozygotic (estimated) twins. Results for mothers of infants with isolated orofacial clefts were similar to those of controls.

Conclusion

We observed an increased twinning frequency with increasing maternal age, but factors such as maternal race/ethnicity and socioeconomic status may also contribute. Among women receiving fertility treatments, factors associated with twinning suggested a relation with treatment specifics (e.g., treatment type and number of embryos implanted) and availability of insurance coverage. Birth Defects Research (Part A) 103:85–99, 2015 © 2014 Wiley Periodicals, Inc.

Introduction

In 2011, 1 in every 30 babies born in the United States was a twin (Martin et al., 2013). Twinning is associated with numerous pregnancy complications and adverse maternal and fetal outcomes (Helmerhorst et al., 2004; Boulet et al., 2008; Morcel et al., 2010; Yang et al., 2011). Mothers of multiples have twice the risk of pregnancy-related mortality and an increased risk of preterm labor and cesarean delivery (Conde-Agudelo et al., 2000). Compared with singletons, twins are at a higher risk of low birth weight, birth defects, prematurity, and infant mortality (Martin and Park, 1999; Li et al., 2003a; Tang et al., 2006; Chauhan et al., 2010; Zhang et al., 2011). The increased risk for adverse outcomes is particularly concerning given the increasing rate of twin births in the United States from 1980 (18.9 per 1000) to 2011 (33.2 per 1000) (Martin et al., 2013).

Recent studies have estimated that approximately 19% of U.S. twin births are attributable to assisted reproductive technology (ART) and an additional 19% of twin births are attributable to non-ART ovulation stimulation treatments (Sunderam et al., 2012; Kulkarni et al., 2013). Other factors that are associated with twinning include a family history of twinning, older maternal age, multiparity, obesity, and African-American race (Khoury and Erickson, 1983; Allen and Parisi, 1990; Martin and Park, 1999; Hoekstra et al., 2010). The relationships between twinning and oral contraceptives, folic acid-containing multivitamins, and maternal smoking have been examined, with conflicting results (Rothman, 1977; Olsen et al., 1988; Czeizel et al., 1994; Li et al., 2003b; Muggli and Halliday, 2007; Hoekstra et al., 2010).

Although twinning has been studied extensively, much of the work involving risk factors for twinning was conducted before fertility treatments were in widespread use. Given the steady increase in use of assisted reproduction, understanding the factors associated with multiple births in this population is important (Centers for Disease Control and Prevention et al., 2011). In addition, few studies have evaluated factors associated with twinning among mothers whose offspring have birth defects (Tang et al., 2006; Zhang et al., 2011). Our objectives were to use data from the National Birth Defects Prevention Study (NBDPS) to evaluate maternal demographic factors and periconceptional exposures associated with twinning, stratified by use of fertility treatments. We assessed these associations among mothers of unaffected controls. We also included mothers of infants or fetuses with a birth defect so that we might compare these findings with those of control mothers. Because twinning is associated with an increased risk of birth defects, we were interested in factors associated with twinning that were unique to the case group, as we hypothesized that these factors may be related to both the birth defect and twinning. To minimize heterogeneity, we selected one phenotype—isolated cleft lip with/without cleft palate or cleft palate only (cases)—as these are some of the more common birth defects that have previously been associated with twinning (Mastroiacovo et al., 1999; Tang et al., 2006; Zhang et al., 2011).

Materials and Methods

Study Population

The NBDPS was a multi-center case–control study of major birth defects in the United States that completed data collection in 2013. NBDPS is a collaborative effort of the Centers for Birth Defects Research and Prevention in Arkansas, California, Georgia, Iowa, Massachusetts, North Carolina, New Jersey, New York, Texas, and Utah. Institutional Review Boards at each site approved the study. Methods for recruitment of participants and data collection have been described in detail (Yoon et al., 2001; Rasmussen et al., 2003). Briefly, eligible cases included infants or fetuses with major birth defects identified through population-based surveillance systems at each site. Controls, live-born infants without major birth defects, were randomly selected using birth certificates or birth hospital records from the same ascertainment area and time period as the cases. Per study protocol, only one infant per family was eligible for NBDPS participation; when both twins met inclusion criteria, the first-born twin was included.

Mothers of cases and controls participated in a computer-assisted telephone interview, which included questions regarding pregnancy history, demographics, and exposures that occurred from 3 months before conception through the end of the pregnancy. Mothers were interviewed in English or Spanish between 6 weeks and 24 months after their expected date of delivery (EDD).

Our study population included mothers of control twins (n = 228) and singletons (n = 8242), and mothers of isolated cleft case twins (n = 117) and singletons (n = 2859) with EDD between October 1, 1997 and December 31, 2007. Mothers of higher order multiples were excluded. Clinical information was reviewed by a clinical geneticist (S.A.R.) to identify cases with isolated clefts (no additional unrelated major defect and no known genetic conditions) (Rasmussen et al., 2003).

Outcome

The outcome of interest for this analysis was twin pregnancy, as compared to singleton pregnancy. During the interview, mothers were asked, “In this pregnancy, how many babies were you carrying?” If necessary, a second question was asked, “Did you have a single baby, twins, or more babies?” Secondary sources of plurality information were birth certificates and/or maternal medical records. Mothers of 17 controls and five cases did not answer the plurality question, but clinical records indicated they were singletons. Approximately 18% of maternally reported twin control infants (n = 41/228) and twin cases (n = 21/117) were reported as singletons on the birth certificate. This could be due to clerical errors or to death of a co-twin in utero. Therefore, we elected to defer to the maternal interview response. All infants reported as singletons during the interview were also identified as singletons on birth certificates. One control mother was excluded due to missing information on plurality in both information sources.

Exposure

We examined the association between twinning and maternal characteristics that were previously reported to be associated with twinning including fertility treatments, race/ethnicity, age, height, prepregnancy weight, prepregnancy body mass index, parity, education, income, tobacco smoking, oral contraceptive use, and use of a folic acid-containing multivitamin. All exposures were self-reported by mothers. Fertility treatment was defined as any use of fertility-enhancing medications (e.g., clomiphene citrate) and/or ART (in vitro fertilization [IVF], gamete intrafallopian transfer, zygote intrafallopian transfer, tubal embryo transfer, and intracytoplasmic sperm injection). Women were excluded from the analyses stratified by use of fertility treatments if they reported use of only nonmedical fertility treatments (e.g., consumption of teas, use of acupuncture). As our focus was on maternal characteristics associated with twinning, mothers reporting only paternal treatments (e.g., vasectomy reversal) were also excluded.

Maternal cigarette smoking, oral contraceptives, and folic acid-containing multivitamins were assessed for the exposure window from 1 month before through the first month of pregnancy. To be consistent with previous analyses of twinning and body composition, maternal height and maternal prepregnancy weight were examined separately and were categorized as quartiles among mothers of singleton controls (height: < 159, 159–163, 164–168, and > 168 cm; prepregnancy weight: < 57, 57–64, 65–74, > 74 kg) (Basso et al., 2004; Reddy et al., 2005; Hoekstra et al., 2010). Prepregnancy BMI was categorized according to National Institutes of Health guidelines: underweight (< 18.5), normal weight (18.5–24.9), overweight (25–29.9), and obese (≥ 30) (National Heart Lung and Blood Institute, ). Study site and year of EDD were also included as covariates.

Statistical Analyses

Logistic regression analyses were used to estimate crude odds ratios (ORs) and corresponding 95% confidence intervals (CI). Models were also stratified by fertility treatment, comparing maternal fertility use to unassisted conception. In the analyses of mothers who reported unassisted conceptions, we calculated adjusted estimates using multivariable logistic regression, controlling for covariates selected a priori using causal diagrams, also known as directed acyclic graphs (Greenland et al., 1999).

Previous studies have shown that predictors of twinning may vary depending on zygosity (Basso et al., 2004; Hankins and Saade, 2005; Hoekstra et al., 2010). The NBDPS does not routinely collect information on zygosity or sex of the co-twin. Therefore, the sex of many of the co-twins was obtained through linkage with birth certificates using maternal name, infant name, and infant date of birth to merge records. The co-twin's sex for 176 of 228 control twin pairs (77.2%) was identified: 60 male–male pairs, 52 female–female pairs, and 64 male–female pairs. These data were not available for Utah participants; therefore the twin (n = 17) and singleton (n = 591) controls from this Center were excluded from the zygosity sub-analysis. Due to small sample size, the zygosity sub-analysis was not conducted for case twins among which there were 49 (60.5%) same sex pairs, and 32 (39.5%) unlike sex pairs.

Unlike-sex twin pairs are dizygotic (DZ), but the zygosity of like-sex pairs cannot be identified without further information. To estimate the zygosity of like-sex pairs, we used a simulation modeling approach. The steps in this approach were: calculate the proportion of male twins in our sample, estimate the proportion of DZ twins among control twins, estimate the proportion of MZ twins among the like-sex twins in our sample, simulate 1,000 datasets with zygosity randomly assigned to each like-sex twin pair, estimate ORs for each factor of interest in each dataset using logistic regression, and, finally, obtain summary ORs and 95% uncertainty intervals for each factor of interest (see Appendix). The parameters for modeling zygosity were obtained from equations described in 2009 by Hardin et al. We also estimated ORs and 95% CIs for the association between the variables of interest and twinning for the like-sex and unlike-sex pairs as a more traditional method of accounting for zygosity. SAS version 9.3 (Cary, NC) was used to conduct all analyses.

Results

Approximately 2.7% (n = 228/8470) of control mothers reported a twin gestation compared with 3.9% (n = 117/2976) of case mothers (i.e., fetus/infant with orofacial cleft). The interview participation rate was 68.4% for mothers of cases and 65.7% for mothers of controls. Approximately 31.1% of mothers of control twins and 29.9% of mothers of case twins reported use of fertility treatments (Table 1). Fertility treatment use was significantly associated with twinning for control mothers (OR, 14.5; 95% CI, 10.7–19.8) and case mothers (OR, 9.5; 95% CI, 6.2–14.8). ART use and clomiphene citrate use were significantly associated with twinning among control mothers (OR, 51.0; 95% CI, 31.8–81.7; and OR, 6.1, 95% CI, 3.5–10.7, respectively) and case mothers (OR, 23.6; 95% CI, 12.8–43.6; and OR, 5.3, 95% CI, 2.5–11.1, respectively).

Table 1. Characteristics of Mothers of Twins and Singletons, National Birth Defects Prevention Study, 1997–2007
Controls Isolated orofacial clefts
Mothers of twins Mothers of singletons Mothers of twins Mothers of singletons
Maternal characteristic n % n % cOR LCL UCL n % n % cOR LCL UCL
Total 228 8242 117 2859
Fertility treatment use (any)
Yes 71 31.1 249 3.0 14.5 10.7 19.8 35 29.9 121 4.2 9.5 6.2 14.8
No 155 68.0 7906 95.9 Ref 82 70.1 2706 94.7 Ref
Assisted reproductive technology use
Yes 39 17.1 39 0.5 51.0 31.8 81.7 20 17.1 28 1.0 23.6 12.8 43.6
No 155 68.0 7906 95.9 Ref 82 70.1 2706 94.7 Ref
Clomiphene citrate use
Yes 15 6.6 125 1.5 6.1 3.5 10.7 9 7.7 56 2.0 5.3 2.5 11.1
No 155 68.0 7906 95.9 Ref 82 70.1 2706 94.7 Ref
Age at delivery (years)
<25 39 17.1 2802 34.0 0.6 0.4 0.9 27 23.1 992 34.7 0.7 0.4 1.1
25–29 55 24.1 2273 27.6 Ref 31 26.5 769 26.9 Ref
30–34 79 34.7 2044 24.8 1.6 1.1 2.3 35 29.9 667 23.3 1.3 0.8 2.1
>35 55 24.1 1123 13.6 2.0 1.4 3.0 24 20.5 431 15.1 1.4 0.8 2.4
Race/ethnicity
Non-Hispanic white 158 69.3 4828 58.6 Ref 78 66.7 1803 63.1 Ref
Non-Hispanic black 31 13.6 927 11.3 1.0 0.7 1.5 10 8.6 169 5.9 1.4 0.7 2.7
Hispanic 27 11.8 1944 23.6 0.4 0.3 0.6 22 18.8 682 23.9 0.7 0.5 1.2
Other 12 5.3 534 6.5 0.7 0.4 1.2 7 6.0 204 7.1 0.8 0.4 1.7
Height (cm)
<159 53 23.3 2084 25.3 Ref 23 19.7 756 26.4 Ref
159–163 56 24.6 2085 25.3 1.1 0.7 1.5 30 25.6 675 23.6 1.5 0.8 2.5
164–168 53 23.3 1874 22.7 1.1 0.8 1.6 23 19.7 644 22.5 1.2 0.7 2.1
>168 62 27.2 1881 22.8 1.3 0.9 1.9 36 30.8 666 23.3 1.8 1.0 3.0
Pre-pregnancy weight (kg)
<57 48 21.1 2060 25.0 Ref 22 18.8 720 25.2 Ref
57–64 56 24.6 2327 28.3 1.0 0.7 1.5 31 26.5 759 26.7 1.3 0.8 2.3
65–75 66 29.0 1880 22.8 1.5 1.0 2.2 27 23.1 639 22.4 1.4 0.8 2.5
>75 53 23.3 1875 22.8 1.2 0.8 1.8 36 30.8 698 24.4 1.7 1.0 2.9
Pre-pregnancy body mass index (kg/m2)
Underweight (<18.5) 10 4.4 426 5.2 0.9 0.5 1.7 8 6.8 184 6.4 1.1 0.5 2.4
Normal (18.5–24.9) 117 51.3 4347 52.7 Ref 55 47.9 1437 50.3 Ref
Overweight (25–29.9) 55 24.1 1794 21.8 1.1 0.8 1.6 24 20.5 598 20.9 1.0 0.6 1.7
Obese (> 30) 38 16.7 1317 16.0 1.1 0.7 1.6 25 21.4 506 17.7 1.3 0.8 2.1
Parity
0 94 41.2 3286 39.9 Ref 48 41.0 1123 29.3 Ref
1 75 32.9 2730 33.1 1.0 0.7 1.3 37 31.6 976 34.1 0.9 0.6 1.4
2+ 59 25.9 2206 26.8 0.9 0.7 1.3 32 27.4 751 26.3 1.0 0.6 1.6
Education
< High school graduate 22 9.7 1547 18.8 0.7 0.4 1.1 13 11.1 573 19.1 0.7 0.3 1.3
High school graduate 42 18.4 1974 24.0 Ref 27 23.1 761 26.6 Ref
> High school graduate 164 71.9 4714 57.2 1.6 1.2 2.3 77 65.8 1524 53.3 1.4 0.9 2.2
Annual household income
< $10,000 26 11.4 1447 17.6 0.9 0.6 1.4 19 16.2 573 20.0 0.9 0.5 1.6
$10,000-$50,000 113 49.6 2549 30.9 Ref 48 41.0 838 29.3 Ref
> $50,000 71 31.1 3431 41.6 2.1 1.6 2.9 45 38.5 1234 43.2 1.6 1.0 2.4
Smoking
Yes 41 18.0 1492 18.1 1.0 0.7 1.4 24 20.5 693 24.2 0.8 0.8 1.3
No 187 82.0 6627 80.4 Ref 92 78.6 2135 74.7 Ref
Oral contraceptive use
Yes 15 6.6 614 7.5 0.9 0.5 1.5 10 8.6 221 7.7 1.1 0.6 2.2
No 211 93 7581 92.0 Ref 107 91.5 2621 91.7 Ref
Folic acid use
Yes 142 62.3 4132 50.1 1.6 1.2 2.1 76 65.0 1364 47.7 2.0 1.4 3.0
No 86 37.7 4076 49.5 Ref 41 35.0 1486 52.0 Ref
Study site
Arkansas 19 8.3 1050 12.7 0.7 0.4 1.2 12 10.3 321 11.2 1.4 0.6 3.3
California 8 3.5 1018 12.4 0.3 0.1 0.6 15 12.8 455 15.9 1.2 0.5 2.8
Georgia 24 10.5 866 10.5 Ref 9 7.7 328 11.5 Ref
Iowa 36 15.8 899 10.9 1.4 0.9 2.4 9 7.7 308 10.8 1.1 0.4 2.7
Massachusetts 51 22.4 977 11.9 1.9 1.2 3.1 19 16.2 391 13.7 1.7 0.8 4.0
New Jersey 27 11.8 546 6.6 1.8 1.0 3.1 7 6.0 156 5.5 1.6 0.6 4.5
New York 12 5.3 718 8.7 0.6 0.3 1.2 19 16.2 233 8.2 3.0 1.3 6.7
North Carolina 14 6.1 580 7.0 0.9 0.4 1.7 7 6.0 164 5.7 1.6 0.6 4.3
Texas 20 8.8 989 12.0 0.7 0.4 1.3 9 7.7 326 11.4 1.0 0.4 2.6
Utah 17 7.5 599 7.3 1.0 0.5 1.9 11 9.4 177 6.2 2.3 0.9 5.7
Year of estimated date of delivery
1997 2 0.9 103 1.3 0 0.0 38 1.3
1998 29 12.7 733 8.9 1.8 1.0 3.4 13 11.1 266 9.3 1.0 0.5 2.2
1999 22 9.7 842 10.2 1.2 0.6 2.3 16 13.7 327 11.4 1.0 0.5 2.1
2000 26 11.4 871 10.6 1.4 0.7 2.6 13 11.1 291 10.2 0.9 0.4 2.0
2001 22 9.7 775 9.4 1.3 0.3 2.5 14 12.0 285 10.0 1.0 0.5 2.2
2002 22 9.7 683 8.3 1.5 0.8 2.8 10 8.6 246 8.6 0.8 0.4 1.9
2003 20 8.8 875 10.6 1.1 0.6 2.0 6 5.1 222 7.8 0.6 0.2 1.5
2004 19 8.3 890 10.8 1.0 0.5 1.9 8 6.8 299 10.5 0.6 0.3 1.3
2005 26 11.4 835 10.1 1.5 0.8 2.7 12 10.3 305 10.7 0.8 0.4 1.8
2006 23 10.1 841 10.2 1.3 0.7 2.4 11 9.4 289 10.0 0.8 0.4 1.8
2007 17 7.5 792 9.6 Ref 14 12.0 290 10.1 Ref
  • Results in bold indicate statistical significance at p <0.05; cOR, crude odds ratio; LCL, lower 95% confidence limit; UCL, upper 95% confidence limit; Ref, referent category.
  • a Percentages may not sum to 100 due to missing values.
  • b Any reported use 1 month prior to pregnancy through 1 month after conception.
  • c Not calculated for cell size < 4.

Results were generally similar for case and control mothers (Table 1). Among control mothers, twinning increased with increasing maternal age: 58.8% of mothers of twins were age 30 years or greater, compared with 38.4% of mothers of singletons. Among control mothers, other factors significantly associated with an increased prevalence of twinning in bivariate analyses were higher education (> than a high school graduate), higher income (> $50,000 per year), and use of a folic acid-containing multivitamin. Hispanic control mothers were also less likely to have twins compared with non-Hispanic white mothers. Among mothers of cases with clefts, significant predictors of twinning were taller maternal height, higher maternal income, and use of a folic-acid containing multivitamin. A sensitivity analysis restricted to mothers who reported plurality during the interview that matched birth certificates (control twins: n = 187; case twins: n = 96) resulted in very similar findings (data not shown).

Several factors were found to be significantly associated with twinning among control mothers who reported unassisted conception (Table 2). For these women, the association between non-Hispanic black race and twinning was of borderline significance after adjusting for study site (adjusted odds ratio [aOR], 1.6; 95% CI, 1.0–2.4). Increasing parity was modestly associated with twinning, with ORs of borderline statistical significance after adjusting for maternal age, race/ethnicity, education level, annual household income, and study site (one previous live birth: aOR 1.4, 95% CI 0.9–2.1; two+ previous live births: aOR 1.6, 95% CI 1.0–2.5). Maternal tobacco smoking was significantly associated with twinning after adjusting for maternal age, race/ethnicity, education level, annual household income, parity, study site, and year of EDD (aOR 1.6, 95% CI 1.1–2.4).

Table 2. Twinning among Mothers of Live-Born Infants (Controls) without Major Birth Defects, by Unassisted Conception vs. Fertility Treatment Use, National Birth Defects Prevention Study, 1997–2007
Unassisted conception Fertility treatment use
Mothers of twins Mothers of singletons Mothers of twins Mothers of singletons
Maternal characteristic n % n % cOR LCL UCL aOR LCL UCL n % n % cOR LCL UCL
N 155 7906 71 249
Age at delivery (years)
<25 39 25.2 2767 35.0 0.7 0.4 1.0 0.7 0.5 1.2 0 0.0 18 7.2
25–29 46 29.7 2188 27.7 Ref Ref 8 11.3 54 21.7 Ref
30–34 39 25.2 1920 24.3 1.0 0.6 1.5 1.0 0.6 1.6 39 54.9 98 39.4 2.7 1.2 6.2
>35 31 20.0 1031 13.0 1.4 0.9 2.3 1.4 0.9 2.3 24 33.8 79 31.7 2.1 0.9 4.9
Race/ethnicity
Non-Hispanic white 91 58.7 4561 57.7 Ref Ref 65 91.6 209 83.9 Ref
Non-Hispanic black 29 18.7 906 11.5 1.6 1.1 2.5 1.6 1.0 2.4 2 2.8 11 4.4
Hispanic 25 16.1 1909 24.2 0.7 0.4 1.0 0.7 0.4 1.0 2 2.8 18 7.3
Other 10 6.5 521 6.6 1.0 0.5 1.9 1.0 0.5 1.8 2 2.8 11 4.4
Height (cm)
<159 35 22.6 2020 25.6 Ref Ref 17 23.9 44 17.8 Ref
159–163 47 30.3 2007 25.4 1.4 0.9 2.2 1.3 0.9 2.1 9 12.7 62 24.9 0.4 0.2 0.9
164–170 34 21.9 1802 22.8 1.1 0.7 1.8 1.1 0.7 1.8 19 26.8 61 24.5 0.8 0.4 1.7
>170 35 22.6 1783 22.6 1.2 0.7 1.9 1.1 0.7 1.8 26 36.6 80 32.1 0.8 0.4 1.7
Pre-pregnancy weight (kg)
<57 34 21.9 2009 25.4 Ref Ref 12 16.9 40 16.1 Ref
57–64 37 23.9 2241 28.4 1.0 0.6 1.6 0.9 0.6 1.6 19 26.8 64 25.7 1.2 0.4 2.3
65–75 43 27.7 1806 22.8 1.4 0.9 2.2 1.4 0.9 2.3 23 32.4 55 22.1 1.4 0.6 3.1
>75 36 23.2 1771 22.4 1.2 0.7 1.9 1.2 0.7 2.0 17 23.9 90 36.1 0.6 0.3 1.4
Pre-pregnancy body mass index (kg/m2)
Underweight (<18.5) 7 4.5 419 5.3 0.9 0.4 2.0 1.1 0.5 2.4 2 4.1 5 2.0 1.3 0.2 6.9
Normal (18.5–24.9) 78 50.3 4188 53.0 Ref Reff 38 53.5 123 49.4 Ref
Overweight (25–29.9) 34 21.9 1720 21.8 1.1 0.7 1.6 1.1 0.7 1.7 21 29.6 61 24.5 1.1 0.6 2.1
Obese (> 30) 28 18.1 1245 15.8 1.2 0.7 1.8 1.2 0.8 2.0 10 14.1 58 23.3 0.6 0.3 1.2
Parity
0 47 30.3 3114 39.4 Ref Ref 46 64.8 142 57.0 Ref
1 55 35.5 2629 33.3 1.4 1.0 2.1 1.4 0.9 2.1 19 26.8 75 30.1 0.8 0.4 1.4
2+ 53 34.2 2162 27.4 1.7 1.1 2.5 1.6 1.0 2.5 6 8.5 32 12.9 0.6 0.2 1.5
Education
< High school graduate 21 13.6 1509 19.1 0.7 0.4 1.2 0.8 0.4 1.3 1 1.4 8 3.2
High school graduate 38 24.5 1929 24.4 Ref Ref 4 5.6 31 12.5 Ref
> High school graduate 96 61.9 4461 56.4 1.1 0.7 1.6 1.0 0.6 1.4 66 93.0 210 84.3 2.4 0.8 7.2
Annual household income
< $10,000 25 16.1 1429 18.1 0.9 0.6 1.5 1.1 0.7 1.8 1 1.4 14 5.6
$10,000-$50,000 64 41.3 3332 42.2 Ref Ref 7 9.9 148 59.4 Ref
> $50,000 54 34.8 2374 30.0 1.2 0.8 1.7 1.0 0.7 1.5 58 81.7 77 30.9 4.3 1.9 9.9
Smoking
Yes 38 24.5 1464 18.5 1.4 1.0 2.0 1.6 1.1 2.4 3 4.2 19 7.6
No 117 75.5 6345 80.3 Ref Reff 68 95.8 229 92.0 Ref
Oral contraceptive use
Yes 10 6.5 603 7.6 0.8 0.4 1.6 0.8 0.4 1.6 5 7.0 7 2.8 2.6 0.8 8.5
No 144 92.9 7278 92.1 Ref Ref 66 93.0 242 97.2 Ref
Folic acid use
Yes 73 47.1 3874 49.0 0.9 0.7 1.3 0.8 0.6 1.2 67 94.4 217 87.2 2.5 0.8 7.2
No 82 52.9 4016 50.8 Ref Reff 4 5.6 32 12.9 Ref
Study site
Arkansas 16 10.3 1005 12.7 0.7 0.4 1.5 0.8 0.4 1.5 3 4.2 33 13.3
California 8 5.2 996 12.6 0.4 0.2 0.9 0.4 0.2 0.9 0 0.0 11 4.4
Georgia 18 11.6 835 10.6 Ref Ref 6 8.5 22 8.5 Ref
Iowa 24 15.5 845 10.7 1.3 0.7 2.4 1.3 0.7 2.5 12 16.9 43 17.3 1.0 0.3 3.1
Massachusetts 21 13.6 921 11.7 1.1 0.6 2.0 1.1 0.6 2.0 30 42.3 52 20.9 2.1 0.8 5.8
New Jersey 16 10.3 531 6.7 1.4 0.7 2.8 1.2 0.6 2.4 11 15.5 10 4.0 4.0 1.2 14.0
New York 9 5.8 690 8.7 0.6 0.3 1.4 0.6 0.3 1.3 2 2.8 20 8.0
North Carolina 12 7.7 555 8.0 1.0 0.5 2.1 1.3 0.6 2.8 2 2.8 17 6.8
Texas 19 12.3 958 12.1 0.9 0.5 1.8 0.9 0.5 1.8 1 1.4 18 7.2
Utah 12 7.7 570 7.2 1.0 0.5 2.0 1.2 0.6 2.7 4 5.6 23 9.2 0.6 0.2 2.6
Year of estimated date of delivery
1997 1 0.7 96 1.2 1 1.4 1 0.4
1998 19 12.3 705 8.9 1.7 0.8 3.6 1.9 0.9 4.0 9 12.7 19 7.7 2.3 0.7 7.9
1999 17 11.0 800 10.1 1.4 0.6 2.9 1.5 0.7 3.2 5 7.0 30 12.1 0.8 0.2 3.1
2000 17 11.0 837 10.6 1.3 0.6 2.8 1.4 0.7 3.2 9 12.7 26 10.4 1.7 0.5 5.7
2001 17 11.0 748 9.5 1.4 0.7 3.1 1.6 0.7 3.5 5 7.0 19 7.6 1.3 0.3 5.0
2002 15 9.7 666 8.4 1.4 0.7 3.1 1.6 0.7 3.6 7 9.9 14 5.6 2.4 0.6 9.0
2003 13 8.4 836 10.6 1.0 0.5 2.2 1.0 0.4 2.1 7 9.9 31 12.5 1.1 0.3 3.8
2004 11 7.1 843 10.7 0.8 0.4 1.9 0.9 0.4 1.9 7 9.9 33 13.3 1.0 0.3 3.6
2005 18 11.6 793 10.0 1.4 0.7 3.0 1.5 0.7 3.1 8 11.3 31 12.5 1.2 0.4 4.3
2006 15 9.7 815 10.3 1.2 0.5 2.5 1.2 0.6 2.6 8 11.3 21 8.4 1.8 0.5 6.5
2007 12 7.7 765 9.7 Ref Ref 5 7.0 24 9.6 Ref
  • Results in bold indicate statistical significance at p <0.05; cOR, crude odds ratio; aOR, adjusted odds ratio; LCL, lower 95% confidence limit; UCL, upper 95% confidence limit; Ref, referent category.
  • a Percentages may not sum to 100 due to missing values.
  • b Adjusted for maternal race/ethnicity, education level, annual household income, study site, year of expected date of delivery (EDD)
  • c OR not calculated for cell size < 4.
  • d Adjusted for study site.
  • e Adjusted for year of mother's birth, maternal race/ethnicity, study site.
  • f Adjusted for maternal age, race/ethnicity, height, education level, annual household income, parity, study site, year of EDD.
  • Adjusted for maternal age, race/ethnicity, education level, annual household income, parity, study site, year of EDD.
  • g Adjusted for maternal age, race/ethnicity, education level, annual household income, study site.
  • h Adjusted for maternal age, race/ethnicity, study site, year of EDD.
  • i Adjusted for maternal age, race/ethnicity, education level, study site, year of EDD.
  • j Any reported use 1 month prior to pregnancy through 1 month after conception.
  • k Model included study site and year of EDD.

Among the control mothers who reported any use of fertility treatments, twinning was more frequent among mothers aged 30 to 34 years compared with mothers aged 25 to 29 years (Table 2). The proportion of non-Hispanic white mothers was slightly higher among mothers of twins (91.6%) than among mothers of singletons (83.9%). The odds of twinning were 4.3 times higher for mothers with an annual household income ≥ $50,000 compared with those with an income between $10,000 and $50,000 (95% CI, 1.9–9.9). Twinning was less common among mothers 159 to 163 cm tall than among mothers <159 cm tall.

Among case mothers who did not report use of fertility treatments, non-Hispanic black women were more than twice as likely as non-Hispanic white women to have a twin pregnancy (aOR, 2.3; 95% CI, 1.1–4.6) (Table 3). Compared with women with no previous live births, women with at least two previous live births had a modestly increased risk of a twin pregnancy that was of borderline statistical significance (aOR, 1.7; 95% CI, 0.9–3.1). Mothers from New York were also significantly more likely to have a twin pregnancy than their counterparts from Georgia, although this association was of borderline significance after adjusting for year of EDD. Overall, the associations for case mothers were similar to the findings from the controls analysis, with the notable exception that there was no association observed for smoking and twinning among case mothers reporting unassisted conception. We did not observe any significant associations with twinning among case mothers who reported use of fertility treatments, although the small sample size limited our ability to detect associations in this group.

Table 3. Twinning among Mothers of Infants or Fetuses with Isolated Orofacial Clefts, by Unassisted Conception vs. Fertility Treatment Use, National Birth Defects Prevention Study, 1997–2007
Unassisted conception Fertility treatment use
Mothers of twins Mothers of singletons Mothers of twins Mothers of singletons
Maternal characteristic n % n % cOR LCL UCL aOR LCL UCL n % n % cOR LCL UCL
N 82 2706 35 121
Age at delivery (years)
<25 26 31.7 974 36.0 0.8 0.4 1.4 0.7 0.4 1.3 1 2.9 9 7.4
25–29 25 30.5 730 27.0 Ref Ref 6 17.1 35 28.9 Ref
30–34 21 25.6 617 22.8 1.0 0.6 1.8 1.0 0.6 1.9 14 40.0 40 33.1 2.0 0.7 5.9
>35 10 12.2 385 14.2 0.8 0.4 1.6 0.8 0.4 1.6 14 40.0 37 30.6 2.2 0.8 6.4
Race/ethnicity
Non-Hispanic white 46 56.1 1681 62.1 Ref Ref 32 91.4 100 82.6 Ref
Non-Hispanic black 10 12.2 166 6.1 2.2 1.1 4.4 2.3 1.1 4.6 0 0.0 2 1.7
Hispanic 21 25.6 664 24.5 1.2 0.7 2.0 1.2 0.7 2.0 1 2.9 10 8.3
Other 5 6.1 194 7.2 0.9 0.4 2.4 0.9 0.4 2.4 2 5.7 9 7.4
Height (cm)
<159 17 20.7 721 26.6 Ref Ref 6 17.1 28 23.1 Ref
159–163 20 24.4 640 23.7 1.3 0.7 2.6 1.4 0.7 2.6 10 28.6 30 24.8 1.6 0.5 4.8
164–170 13 15.9 607 22.4 0.9 0.4 1.9 1.0 0.5 2.0 10 28.6 30 24.8 1.6 0.5 4.8
>170 27 32.9 633 23.4 1.8 1.0 3.4 1.9 0.9 1.4 9 23.7 29 24.0 1.4 0.5 4.6
Pre-pregnancy weight (kg)
<57 14 17.1 692 25.6 Ref Ref 8 22.9 23 19.0 Ref
57–64 19 23.2 725 26.8 1.3 0.6 2.6 1.0 0.5 2.0 12 34.3 29 24.0 1.2 0.4 3.4
65–75 20 24.4 611 22.6 1.6 0.8 3.2 1.3 0.6 2.7 7 20.0 25 20.7 0.8 0.3 2.6
>75 28 34.2 646 23.9 2.1 1.1 4.1 1.6 0.8 3.2 8 22.9 42 34.7 0.5 0.2 1.7
Pre-pregnancy body mass index (kg/m2)
Underweight (<18.5) 6 7.3 181 6.7 1.4 0.6 3.3 1.5 0.6 3.6 2 5.7 2 1.7
Normal (18.5–24.9) 33 40.2 1370 50.6 Ref Ref 22 62.9 58 47.9 Ref
Overweight (25–29.9) 19 23.2 564 20.8 1.4 0.8 2.5 1.2 0.6 2.2 5 3.1 26 21.5 0.5 0.2 1.5
Obese (> 30) 19 23.2 470 17.4 1.7 0.9 3.0 1.6 0.9 2.9 6 17.1 31 25.6 0.5 0.2 1.4
Parity
0 26 31.7 1036 38.3 Ref Ref 22 62.9 72 59.5 Ref
1 28 34.2 932 34.4 1.2 0.7 2.1 1.3 0.7 2.3 9 25.7 37 30.6 0.8 0.3 1.9
2+ 28 34.2 737 27.2 1.5 0.9 2.6 1.7 0.9 3.1 4 11.4 12 9.9 1.1 0.3 3.7
Education
< High school graduate 13 15.9 556 20.6 0.7 0.4 1.4 0.7 0.3 1.3 0 0.0 7 5.8
High school graduate 25 30.5 740 27.4 Ref Ref 2 5.7 13 10.7 Ref
> High school graduate 44 53.7 1410 52.1 0.9 0.6 1.5 1.0 0.6 1.6 33 94.3 100 82.6
Annual household income
< $10,000 18 22.0 564 20.8 1.1 0.6 1.9 1.2 0.6 2.1 1 2.9 9 7.4
$10,000-$50,000 36 43.9 1190 44.0 Ref Ref 9 25.7 33 27.3 Ref
> $50,000 23 28.1 752 27.8 1.0 0.6 1.7 0.9 0.5 1.7 25 71.4 77 63.6 1.2 0.5 2.8
Smoking
Yes 18 22.0 676 25.0 0.8 0.5 1.4 0.9 0.5 1.5 6 17.1 9 7.4 2.6 0.8 7.8
No 63 76.8 2008 74.2 Ref Ref 29 82.9 112 92.6 Ref
Oral contraceptive use
Yes 8 9.8 218 8.1 1.2 0.6 2.6 1.2 0.5 2.6 2 5.7 2 1.7
No 74 90.2 2480 91.7 Ref Ref 33 94.3 119 98.4 Ref
Folic acid use
Yes 42 51.2 1246 46.1 1.2 0.8 1.9 1.2 0.8 2.0 34 97.1 100 82.6
No 40 48.8 1457 53.8 Ref Ref 1 2.9 21 17.4 Ref
Study site
Arkansas 10 12.2 307 11.4 1.4 0.5 3.8 1.4 0.5 3.8 2 5.7 10 8.3
California 14 17.1 435 16.1 1.4 0.6 3.5 1.4 0.6 3.5 1 2.9 13 10.7
Georgia 7 8.5 303 11.2 Ref Ref 2 5.7 22 18.2 Ref
Iowa 9 11.0 290 10.7 1.3 0.5 3.7 1.4 0.5 3.7 0 0.0 13 10.7
Massachusetts 9 11.0 357 13.2 1.1 0.4 3.0 1.1 0.4 3.0 10 28.6 29 24.0
New Jersey 2 2.4 150 5.5 5 14.3 5 4.1
New York 14 17.1 223 8.2 2.7 1.1 6.8 2.5 1.0 6.3 5 14.3 8 6.6
North Carolina 3 7.3 158 5.8 4 11.4 5 4.1
Texas 8 9.8 315 11.6 1.1 0.4 3.1 1.0 0.4 2.9 1 2.9 7 5.8
Utah 6 7.3 168 6.2 1.5 0.5 4.7 1.8 0.6 5.7 5 14.3 9 7.4
Year of estimated date of delivery
1997 0 0.0 36 1.3 0 0.0 0 0.0
1998 9 11.0 253 9.4 1.4 0.5 3.9 1.6 0.6 4.5 4 11.4 9 7.4 0.5 0.1 2.4
1999 8 9.8 308 11.4 1.0 0.4 2.9 1.1 0.4 3.3 8 22.9 16 13.2 0.6 0.2 2.1
2000 11 13.4 278 10.3 1.6 0.6 4.1 1.6 0.6 4.5 2 5.7 7 5.8
2001 12 14.6 271 10.0 1.8 0.7 4.6 1.9 0.7 5.0 2 5.7 12 9.9
2002 7 8.5 235 8.7 1.2 0.4 3.4 1.2 0.4 3.7 3 8.6 7 5.8
2003 4 4.9 202 7.5 0.8 0.2 2.7 0.9 0.2 3.1 2 5.7 16 13.2
2004 7 8.5 281 10.4 1.0 0.3 2.9 1.0 0.3 2.9 1 2.9 16 13.2
2005 10 12.2 289 10.7 1.4 0.5 3.7 1.3 0.5 3.6 2 5.7 13 10.7
2006 7 8.5 272 10.1 1.0 0.4 3.0 1.0 0.3 2.9 4 11.4 17 14.1 0.3 0.1 1.2
2007 7 8.5 280 10.4 Ref Ref 7 20.0 8 6.6 Ref
  • Results in bold indicate statistical significance at p < 0.05; cOR, crude odds ratio; aOR, adjusted odds ratio; LCL, lower 95% confidence limit; UCL, upper 95% confidence limit; Ref, referent category.
  • a Percentages may not sum to 100 due to missing values.
  • b Adjusted for maternal race/ethnicity, education level, annual household income, study site, year of expected date of delivery (EDD).
  • c OR not calculated for cell size < 4.
  • d Adjusted for study site.
  • e Adjusted for year of mother's birth, maternal race/ethnicity, study site.
  • f Adjusted for maternal age, race/ethnicity, height, education level, annual household income, parity, study site, year of EDD.
  • g Adjusted for maternal age, race/ethnicity, education level, annual household income, parity, study site, year of EDD.
  • h Adjusted for maternal age, race/ethnicity, education level, annual household income, study site.
  • i Adjusted for maternal age, race/ethnicity, study site, year of EDD.
  • j Adjusted for maternal age, race/ethnicity, education level, study site, year of EDD.
  • k Any reported use 1 month prior to pregnancy through 1 month after conception.
  • l Model included study site and year of EDD.

Associations with twinning for the unlike-sex control twins and estimated dizygotic twins were similar to the associations observed for all control twins (Table 4). Fewer associations were observed for the like-sex and estimated monozygotic (MZ) control twins.

Table 4. Twinning among Mothers of Live-Born Infants without Major Birth Defects, by Estimated Zygosity, National Birth Defects Prevention Study, 1997–2007
Unlike-sex twins Dizygotic twins (estimated) Like-sex twins Monozygotic twins (estimated)
Maternal characteristic n cOR LCL UCL cOR LUI UUI n cOR LCL UCL cOR LUI UUI
Fertility treatment use (any)
Yes 29 26.5 16.0 44.3 14.7 12.6 16.9 30 11.7 7.6 18.2 9.6 5.4 14.7
No 35 Ref Ref 82 Ref Ref
Assisted reproductive technology use
Yes 16 84.6 43.3 165.3 59.7 49.1 71.2 17 38.4 20.9 70.6 40.1 17.7 66.2
No 35 Ref Ref 82 Ref Ref
Clomiphene citrate use
Yes 8 14.9 6.7 32.8 10.2 7.8 12.9 8 6.3 3 13.4 6.6 1.7 12.4
No 35 Ref Ref 82 Ref Ref
Age at delivery (years)
<25 8 0.9 0.3 2.4 0.7 0.5 0.9 18 0.6 0.3 1.1 0.6 0.3 1.2
25–29 7 Ref Ref 24 Ref Ref
30–34 11 1.7 0.7 4.4 1.3 0.9 1.7 22 1.0 0.6 1.8 1.1 0.5 2.0
>35 9 2.6 1.0 7.0 1.9 1.3 2.6 18 1.5 0.8 2.8 1.6 0.7 3.2
Race/ethnicity
Non-Hispanic white 24 Ref Ref 48 Ref Ref
Non-Hispanic black 7 1.3 0.6 3.1 1.5 1.0 1.9 17 1.6 0.9 2.8 1.7 0.7 3.0
Hispanic 4 0.4 0.1 1.1 0.4 0.3 0.6 11 0.5 0.3 1.0 0.5 0.2 1.0
Other 0 0.6 0.2 1.0 6 1.1 0.5 2.5 1.1 0.0 2.4
Height (cm)
<159 7 Ref Ref 15 Ref Ref
159–163 12 1.8 0.7 4.5 1.7 1.3 2.3 24 1.6 0.9 3.1 1.8 0.8 4.1
164–170 7 1.2 0.4 3.3 1.4 1.0 2.0 20 1.6 0.8 3.1 1.8 0.7 4.0
>170 9 1.5 0.6 4.1 1.6 1.1 2.3 21 1.7 0.9 3.2 1.9 0.7 4.4
Pre-pregnancy weight (kg)
<57 5 Ref Ref 18 Ref Ref
57–64 8 1.4 0.5 4.4 1.3 0.9 1.8 23 1.2 0.6 2.1 1.3 0.5 2.7
65–75 9 2.0 0.7 6.1 1.7 1.1 2.4 23 1.4 0.8 2.7 1.6 0.6 3.4
>75 11 2.5 0.9 7.1 1.6 1.1 2.3 17 1.1 0.5 2.1 1.2 0.5 2.5
Pre-pregnancy body mass index (kg/m2)
Underweight (<18.5) 1 0.6 0.2 1.0 3 1.0 0.4 1.9
Normal (18.5–24.9) 18 Ref Ref 43 Ref Ref
Overweight (25–29.9) 6 0.8 0.3 2.0 1.0 0.7 1.3 20 1.1 0.6 1.8 1.2 0.5 2.2
Obese (> 30) 8 1.5 0.6 3.4 1.2 0.9 1.5 13 1.0 0.5 1.8 1.0 0.4 1.9
Parity
0 9 Ref Ref 28 Ref Ref
1 14 1.9 0.9 4.8 1.4 1.1 1.9 28 1.2 0.7 2.0 1.3 0.6 2.4
2+ 12 2.0 0.9 4.8 1.6 1.2 2.2 26 1.4 0.8 2.4 1.5 0.7 2.8
Education
< High school graduate 4 0.6 0.2 1.9 0.6 0.4 0.9 11 0.7 0.3 1.5 0.7 0.2 1.4
High school graduate 9 Ref Ref 21 Ref Ref
> High school graduate 22 1.1 0.5 2.4 1.1 0.9 1.4 50 1.1 0.6 1.8 1.1 0.6 2.1
Annual household income
< $10,000 6 1.7 0.6 4.8 1.1 0.8 1.5 14 0.9 0.5 1.6 0.9 0.4 1.8
$10,000-$50,000 16 Ref Ref 29 Ref Ref
> $50,000 8 2.8 1.2 6.4 1.6 1.2 2.1 35 1.1 0.7 1.9 1.2 0.6 2.1
Smoking
Yes 28 1.0 0.5 2.4 1.2 0.9 1.5 62 1.3 0.8 2.2 1.4 0.7 2.3
No 7 Ref Ref 20 Ref Ref
Oral contraceptive use
Yes 1 0.9 0.5 1.3 8 1.3 0.6 2.7 1.3 0.3 2.5
No 34 Ref Ref 73 Ref Ref
Folic acid use
Yes 20 1.5 0.7 2.8 1.0 0.8 1.3 34 0.8 0.5 1.2 0.8 0.4 1.3
No 15 Ref Ref 48 Ref Ref
  • Comparison group for all analyses was mothers of singleton controls. Results in bold indicate statistical significance at p < 0.05; cOR, crude odds ratio; LCL, lower 95% confidence limit; UCL, upper 95% confidence limit; LUI, lower 95% uncertainty interval value; UUI, upper 95% uncertainty interval value; Ref, referent category.
  • a Analysis restricted to mothers who reported unassisted conception.
  • b OR not calculated for cell size <4.
  • c Any reported use 1 month prior to pregnancy through 1 month after conception.

Discussion

Twin pregnancies occurred in approximately 2.7% of control mothers in the NBDPS, similar to the U.S. twin birth rate of 3% during the same time period (Martin et al., 2013). As expected, fertility treatment use was a significant predictor of twinning, both for mothers of controls and of cases with isolated orofacial clefts. Our results support previous reports of an association between fertility treatments and MZ twinning (Aston et al., 2008). Given the magnitude of the associations for ART and clomiphene citrate, it may appear that our results indicate a greater contribution of ART births to the overall twinning rate compared with non-ART treatments, in contrast to previous studies (Kulkarni et al., 2013). However, when comparing the proportion of twins attributable to IVF with non-IVF treatments, without adjusting for maternal age, our results (16.7% of twins and 14.5%, respectively) were similar to those of Kulkarni et al. (2013). We did not find any evidence to suggest a difference in the factors associated with twinning for unaffected controls and cases with orofacial clefts.

Historically, maternal age has been cited as a strong predictor of twinning (Bulmer, 1970; Bortolus et al., 1999). A recent report found the natural dizygotic twinning rate was relatively stable between 1969 and 2009 after controlling for maternal age (Derom et al., 2011). We found an association between maternal age and twinning for mothers reporting assisted conception but not among mothers reporting unassisted conception. One explanation for the discrepancy may be that we could not account for zygosity in our primary analyses, and previous studies have suggested that the association with maternal age may be limited to mothers of DZ twins (Bulmer, 1970). In our zygosity sub-analysis, we observed a trend of increased frequency of twinning with increasing maternal age for MZ and DZ twins, although the association was not statistically significant for MZ twin mothers. Our finding that the association between maternal age and twinning was attenuated after controlling for fertility treatment use, maternal race/ethnicity, education level, annual household income, study site, and year of EDD may suggest that this association is more complex than previously described.

Other factors associated with both fertility treatments and twinning such as education, prepregnancy weight, and use of a folic acid-containing multivitamin were associated with twinning when not controlling for fertility treatment use but were no longer associated after the models were stratified by fertility treatment use. The possibility of an association between folic acid and twinning has been particularly controversial (Werler et al., 1997; Li et al., 2003b). Our study found little difference in folic acid intake during the pregnancies of twin and singleton mothers reporting unassisted conception. In the ART stratum, almost all mothers reported taking folic acid. Although more twin mothers reported taking folic acid, this association was not statistically significant.

Among mothers who reported unassisted conception, a moderate increase in the frequency of twinning was observed for mothers who were non-Hispanic black, who reported two or more previous live births, and who smoked cigarettes between 1 month before conception through the first month of pregnancy, which is consistent with previous findings (Bulmer, 1970; Nylander, 1981; Hoekstra et al., 2010).

The associations we observed for mothers reporting fertility treatments likely reflect the cost of fertility treatments or choices regarding treatment options, such as implanting multiple embryos, rather than causal factors. The association between income and twinning may be due to treatments such as IVF being cost-prohibitive to lower income families and many insurers do not provide coverage for these treatments (American Society for Reproductive Medicine, ). Cost has been previously cited as a factor related to the socioeconomic and ethnic disparities among women using fertility treatments (Smith et al., 2011). Similarly, the large proportion of twin births in MA are likely due to state mandates that insurers provide coverage for fertility treatments, including IVF (Martin et al., 2011). For women receiving IVF, choices regarding the number of embryos implanted are an important consideration, although not one that we were able to analyze.

Our study has several limitations. First, our study was limited by the relatively small sample size after stratifying by fertility treatment use and estimated zygosity. We were unable to conduct multivariable analyses for mothers reporting fertility treatment use. We relied on self-reported data from a retrospective maternal interview, so we cannot rule out exposure misclassification due to inaccurate recall. The average age at interview was 9 months for controls (singletons: 9.3 months; twins: 10.1 months) and 11 months for cases (singletons, 10.7 months; twins, 11.3 months). The study participation rate was slightly higher among mothers of twins than mothers of singletons for both controls (singletons, 65.4%; twins, 68.7%) and cases (singletons, 68.2%; twins, 71.6%). We were not able to verify the accuracy of the responses for reported periconceptional exposures or reported use of fertility treatments. For mothers who reported fertility treatment use, we were unable to determine the number of embryos implanted, a strong predictor of twinning (Templeton and Morris, 1998). Another limitation is that a comparison of the plurality reported by the mothers in the interview with information recorded on the infant's birth certificate or mother's hospital record revealed some discrepancies, with mothers reporting higher rates of twin gestation. Although previous studies have found a high degree of concordance between plurality from maternal report and on birth certificates, some variability exists and may be due to clerical errors or early fetal demise of a co-twin (Querec, 1980; Schoendorf et al., 1993). Ascertainment of early fetal demise has likely increased because these previous studies due to increased use of early ultrasonography. A sensitivity analysis restricted to control infants without plurality discrepancies produced results similar to those from the primary analysis.

We were also unable to directly determine zygosity. This limitation is important because many factors have only been associated with DZ twinning (Bulmer, 1970; Hoekstra et al., 2010). Zygosity is particularly difficult to obtain as the gold-standard for determining zygosity is genetic analysis (Chen et al., 1999). However, our simulation modeling approach may be useful as it allowed us to estimate risk factor associations for MZ and DZ twins with accompanying uncertainty intervals. Although we attempted to assess factors associated with zygosity of twins, there are other features of twinning, such as chorionicity, that we were not able to assess using these data.

Strengths of this study include use of a demographically diverse, population-based sample from 10 different states across the United States. We were able to control for a variety of factors associated with twinning. This analysis assesses potential risk factors for twinning among a modern sample of mothers that reported fertility treatment use in addition to mothers that reported unassisted conception of twins.

Fertility treatment use was a strong predictor of twinning, as expected, but the factors associated with twinning among women receiving fertility treatments are likely due, in part, to the type of treatment, number of embryos implanted, and the availability of insurance coverage. We observed an increase in twinning with increasing maternal age, but factors such as maternal race/ethnicity and socioeconomic status may contribute and should be examined further. Given the increased risk of adverse outcomes associated with a twin pregnancy, understanding the factors associated with twinning, be it unassisted or assisted, is of public health importance.

Acknowledgments

The authors thank the Centers for Birth Defects Research and Prevention in AR, CA, GA, IA, MA, NJ, NY, NC, TX, and UT for their data; and the families who participated in the NBDPS. Disclosure statement: The authors report no conflict of interest.

    Appendix

    First, we calculated the proportion of male twins in our sample using the equation (Hardin et al., 2009):
    urn:x-wiley:15420752:media:bdra23325:bdra23325-math-0001
    where urn:x-wiley:15420752:media:bdra23325:bdra23325-math-0002 is the proportion of male twins, a is the number of male-male twin pairs (60 in our sample), b is the number of male-female twin pairs (64 in our sample), and n is the total number of twin pairs in the sample (176 in our sample). The proportion of male twins in our analysis was therefore calculated as:
    urn:x-wiley:15420752:media:bdra23325:bdra23325-math-0003
    We then estimated the proportion of DZ twins ( urn:x-wiley:15420752:media:bdra23325:bdra23325-math-0004) in our total sample of like-sex and unlike-sex twins (Hardin et al., 2009):
    urn:x-wiley:15420752:media:bdra23325:bdra23325-math-0005
    where urn:x-wiley:15420752:media:bdra23325:bdra23325-math-0006 is the proportion of female twins ( urn:x-wiley:15420752:media:bdra23325:bdra23325-math-0007). The proportion of DZ twins in our sample was therefore estimated as:
    urn:x-wiley:15420752:media:bdra23325:bdra23325-math-0008

    We estimated the total number of DZ twin pairs in our sample to be 128 (72.8% of 176 twin pairs). The 64 unlike-sex twins were assumed to be DZ and 64 of the like-sex twin pairs estimated to be DZ (n = 128–64). There were 112 total like-sex twins, and therefore we estimated that the remaining 43% (n = 48) of like-sex pairs were MZ.

    We then used a Monte Carlo sampling approach, constructing 1,000 datasets in which like-sex twins were randomly designated as MZ or DZ based on our estimates of the distribution of MZ twins in our sample. For each simulation, each like-sex pair was randomly assigned a value from a uniform distribution between 0 and 1. A second value was selected from a random normal distribution with the estimated proportion of MZ twins as the mean and includes a standard error term from the binomial distribution, of:
    urn:x-wiley:15420752:media:bdra23325:bdra23325-math-0009
    where urn:x-wiley:15420752:media:bdra23325:bdra23325-math-0010 is the probability of monozygosity, given a twin pair is like-sex. If the value from the uniform distribution was less than the value from the normal distribution, the twin pair was designated as MZ; otherwise the twin pair was designated as DZ. All unlike-sex twins were assigned as DZ.

    We estimated unadjusted ORs using logistic regression models for each exposure of interest, with singletons as the referent group, stratified by estimated zygosity. For exposures other than fertility treatment use, the analysis was restricted to mothers who reported unassisted conception. OR estimates for all 1,000 datasets were compiled, and our summary OR estimates were obtained by calculating the median, with the 2.5 and 97.5 percentiles comprising the lower and upper bounds of our uncertainly intervals, respectively.

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