Abstract
The purpose of the National Institutes of Health conference on Reproductive Problems in Women of Color that convened on July 25, 2009 was to bring investigators together to examine data related to reproductive health care access and ethnic disparities in reproductive problems, fertility treatments, and pregnancy outcomes. One of the goals discussed at this conference was to initiate a research network of investigators interested in studying these problems through the development of an American Society of Reproductive Medicine special interest group and Society of Assisted Reproductive Technology writing groups.
Keywords: Women of color, reproductive health disparities, infertility access to care, racial and ethnic disparities in IVF outcomes, leiomyomata prevalence
Over the past decade, the number of assisted reproductive technology clinics and the number of IVF cycles performed annually in the United States have been steadily increasing. In 2007, there were 430 fertility clinics in the United States performing 142,415 IVF cycles. Despite the availability and increasing use of IVF treatment, significant disparities exist in access to care (1–3). Furthermore, evidence supports disparities in infertility treatment outcomes and the increased prevalence of reproductive problems such as uterine fibroids and estrogen deficiency states. The proceedings of this conference are summarized. Because it is a summary of conference proceedings without the original data that were published, Institutional Review Board approval was not required nor obtained.
Reproductive Problems that Disproportionately Impact Women of Color: Access to Infertility Care Disparities
The primary barrier to access remains the cost of IVF treatment. In the United States, IVF is primarily self-pay, with most health insurance plans excluding coverage. In contrast, other developed countries have made provisions in their national health policies to cover IVF. The mean cost per IVF cycle in 2002 was estimated to be $9547 in the United States, which is 271% higher than the mean cost in 25 other countries ($3518) (4). This cost is substantial relative to the 2002 gross national income per capita in the United States of $33,360 (5). In 1985, Maryland became the first state to mandate private health insurance companies to provide infertility services (including IVF) to residents. To date, 10 states have laws mandating some form of coverage for IVF, but only five states mandate comprehensive coverage for their residents (Connecticut, Illinois, Massachusetts, New Jersey, and Rhode Island) (3).
National IVF data analysis revealed a nearly three-fold higher use of IVF services states with comprehensive insurance coverage compared with in states without mandated coverage (4). The use rates are also higher in countries that subsidize IVF expenses (6). These findings suggest that a large number of women who might benefit do not use IVF services, probably owing to financial constraints. Even in states with mandated insurance coverage, the individuals who access IVF services tend to be predominantly Caucasian, highly educated, and wealthy (5, 7, 8).
Hispanic women face a greater obstacle of financing infertility as they are more likely to be in a lower socioeconomic situation, where the cost of IVF will absorb a significant portion of the couple's disposable income (9, 10). Language barriers also limit access for Hispanic women who wish to use infertility treatments (10). Finally, many of these women are recent immigrants to the United States, living in insular communities and less likely to pursue medical treatment, resorting to nontraditional methods instead (9). In an “equal access” military IVF program, Caucasian and African American women sought infertility services in similar proportion to the Department of Defense population, while Hispanic women sought these services in lower proportions (11, 12). In the National Survey of Family Growth study, both Hispanic and African American women sought infertility services in reduced proportions to Caucasian women but not independent of socioeconomic status (13, 14). Cultural barriers may reduce access to infertility care in minority groups such as Arab Americans, Asians, Hispanics, and African Americans (7, 9, 10, 12, 15, 16).
Infertility Treatment Outcomes
During the first two decades of IVF, it was presumed that infertile populations were generally homogenous, with maternal age identified as the primary predictor of clinical outcomes. The first insight into the possible negative influence of Indian ethnicity occurred in a 1977 letter to the editor as an anecdotal observation to explain lower IVF pregnancy rates (17). Two subsequent controlled studies produced conflicting results, with lower pregnancy rates in Indian women in one study but not in the other compared with Caucasian women in the United Kingdom (18, 19). The first U.S. studies were published comparing African American and Caucasian women outcomes in 1999–2000 (20–22). Again, one study demonstrated a lower African American pregnancy rate in an inner-city Baltimore IVF clinic (22), while other studies did not find such a disparity (20, 21). In 2005, a study from the Boston area assessing a majority Caucasian cohort and three minority cohorts, African American, Asian, and Hispanic, found no ethnic differences in clinical pregnancy or live-birth rates, but study power was limited by small sample sizes in the minority cohorts (23).
These earliest studies established a precedent for further investigation to better understand potential racial and ethnic disparities in IVF outcomes. Feinberg et al. demonstrated an ∼20% reduction in live-birth rates and ∼50% increase in miscarriage rates within the African American cohort in an equal access setting, suggesting that uterine fibroids may be a contributing factor (11), but this observation has been disputed (24). However, three Society of Assisted Reproductive Technology (SART) database studies have all demonstrated significant reductions (25%–38%) in African American live-birth rates after IVF when compared with Caucasian cohorts (8, 25, 26). Similar to the Feinberg et al. study, these studies all demonstrated increased pregnancy losses in African American IVF pregnancies (8, 25, 26). Increased rates of uterine fibroids, tubal disease, and increased body mass index in the African American infertile population present potential confounding variables during analysis (1, 2, 8, 11, 21–26).
An ∼30% reduction in clinical pregnancy and live-birth rates have been demonstrated in Asian women undergoing IVF and IUI (16, 27, 28). The etiology of this disparity is not known as there appear to be similar blastocyst formation rates between Asian and Caucasian IVF cycles, despite lower pregnancy rates in the Asian cohort (29). A recent SART database analysis confirmed reduced clinical pregnancy and live-birth rates in Asian women and demonstrated for the first time reduced live-birth rates in Hispanic women (25). A recent study demonstrated lower pregnancy rates in non-Caucasian women but higher blastocyst formation rates with IVF compared with Caucasian women (30). Further studies are needed to verify these differences.
Estrogen Deficiency Disparities
Recent evidence has demonstrated significant health disparities with regard to the effects of estrogen deficiency on the bone health of minority women with primary ovarian insufficiency compared with a Caucasian cohort (31). African American women with primary ovarian insufficiency have three-fold lower bone density measurements, while Asian women have four-fold lower bone density measurements compared with Caucasian women (31). Hispanic women with primary ovarian insufficiency were not at increased risk compared with Caucasian women (31). Interestingly, the increased risk for reduced bone density in minority women is fully attributable to lower calcium intake and lower serum vitamin D levels in African American and Asian women, with lower estrogen therapy compliance in Asian women (31).
Obesity and Metabolic Syndrome Disparities
In the United States, National Health and Nutrition Examination Survey data showed that the prevalence of obesity increased threefold from 6.1% in 1976–1980 to 17.4% in 2003–2004, with the highest prevalence in African American women (32). Multiple studies have suggested an association between obesity and cardiovascular morbidity, diabetes, and reproduction in adults (32–38). In contrast to weight disparities, age-specific metabolic syndrome prevalence is lowest in African American women but highest in Mexican American women (39). Despite these statistics, our current knowledge of how obesity interacts with other metabolic parameters and impacts the reproductive health of women is limited.
Leiomyoma Prevalence Disparities
Although data support racial differences in leiomyoma prevalence, evidence remains sparse, with the vast majority of publications coming from the United States (32%), Europe (28%), and Japan (19%). Studies evaluating population prevalence outside of the United States are limited to North London, United Kingdom (40), Lund, Sweden (41), and Seveso, Italy (42, 43). However, there are data from the African continent demonstrating that leiomyomas arise in the early reproductive years, grow dramatically, and disrupt fecundity (44–46). In North America, sampling studies have been conducted in the eastern United States. These studies indicate nearly twice the risk of uterine leiomyomas in women of African descent (20/1000 of African American women-years versus 10–15/1000 women-years of Asian, Caucasian, or Hispanic descent), which further doubles with age (45.6/1000 African American women-years aged 40–44 years) (47, 48).
While the paucity of data suggests an increased prevalence in women of African descent, there is much we do not know about virtually every other ethnic group. Additional investigation worldwide on prevalence would be a valuable addition to our current knowledge, providing further insight into the origins of uterine leiomyoma development.
Conclusion
One of the fundamental questions in addressing these problems is, How do we engage the community? In research, community engagement is a process of inclusive participation that supports mutual respect of values, strategies, and actions for authentic partnership of people affiliated with or self-identified by geographic proximity, special interest, or similar situations to address issues affecting the well-being of the community of focus (49, 50).
It is well-recognized that physician-patient trust is important for successful research among minority populations. One of the best examples of a successful community partnership is the Jackson Heart Study, the largest prospective, epidemiological single-site study of cardiovascular disease among African Americans (51–53). The study's novel capacity-building, minority training, and community participation components deepen the study's impact through enhanced recruitment and retention. Similarly, efforts to sensitively conduct reproductive research have far-reaching benefits, improving the chance that the fruits of such research can be used to resolve reproductive health disparities in the United States. There are clear indications that ethnic minorities are less likely to participate in reproductive research (54–56), and special attention by investigators on improving ethnic research participation is an important goal for this network.
A special interest group (SIG) through the American Society of Reproductive Medicine (ASRM) has been formed to bring investigators interested in racial and ethnic disparities in reproductive medicine together to share information and formulate strategies for research development. The mission statement of the health disparities SIG is as follows: “The purpose of the ASRM Health Disparities SIG is to identify disparities in access and outcomes of women of color seeking reproductive health services and to identify strategies to address these disparities and other reproductive problems in women of color.” Specific networking goals include marketing the concept of mandating race and ethnicity as a required field in SART and establishing a universal classification system to be used by SART members. The need for increasing research participation among vulnerable populations and establishment of a uniform classification system are goals that arose from this conference addressing the reproductive disparities that exist in women of color.
Acknowledgments
Supported by the Program in Reproductive and Adult Endocrinology, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, Maryland.
Footnotes
V.Y.F. has nothing to disclose. T.J. has nothing to disclose. R.A. has nothing to disclose. L.M.N. has nothing to disclose. W.H.C. has nothing to disclose. M.O. has nothing to disclose. E.E.M. has nothing to disclose. D.B. has nothing to disclose. H.T. has nothing to disclose. A.Y.A. has nothing to disclose.
References
- 1.Green JA, Robins JC, Scheiber M, Awadalla S, Thomas MA. Racial and economic demographics of couples seeking infertility treatment. Am J Obstet Gynecol. 2001;184:1080–2. doi: 10.1067/mob.2001.115222. [DOI] [PubMed] [Google Scholar]
- 2.Jain T. Socioeconomic and racial disparities among infertility patients seeking care. Fertil Steril. 2006;85:876–81. doi: 10.1016/j.fertnstert.2005.07.1338. [DOI] [PubMed] [Google Scholar]
- 3.Jain T, Hornstein MD. To pay or not to pay. Fertil Steril. 2003;80:27–9. doi: 10.1016/s0015-0282(03)00576-4. [DOI] [PubMed] [Google Scholar]
- 4.Jain T, Harlow BL, Hornstein MD. Insurance coverage and outcomes of in vitro fertilization. N Engl J Med. 2002;347:661–6. doi: 10.1056/NEJMsa013491. [DOI] [PubMed] [Google Scholar]
- 5.Bitler M, Schmidt L. Health disparities and infertility: impacts of state-level insurance mandates. Fertil Steril. 2006;85:858–65. doi: 10.1016/j.fertnstert.2005.11.038. [DOI] [PubMed] [Google Scholar]
- 6.Nachtigall RD. International disparities in access to infertility services. Fertil Steril. 2006;85:871–5. doi: 10.1016/j.fertnstert.2005.08.066. [DOI] [PubMed] [Google Scholar]
- 7.Jain T, Hornstein MD. Disparities in access to infertility services in a state with mandated insurance coverage. Fertil Steril. 2005;84:221–3. doi: 10.1016/j.fertnstert.2005.01.118. [DOI] [PubMed] [Google Scholar]
- 8.Seifer DB, Frazier LM, Grainger DA. Disparity in assisted reproductive technologies outcomes in black women compared with white women. Fertil Steril. 2008;90:1701–10. doi: 10.1016/j.fertnstert.2007.08.024. [DOI] [PubMed] [Google Scholar]
- 9.Becker G, Castrillo M, Jackson R, Nachtigall RD. Infertility among low-income Latinos. Fertil Steril. 2006;85:882–7. doi: 10.1016/j.fertnstert.2005.09.052. [DOI] [PubMed] [Google Scholar]
- 10.Nachtigall RD, Castrillo M, Shah N, Turner D, Harrington J, Jackson R. The challenge of providing infertility services to a low-income immigrant Latino population. Fertil Steril. 2009;92:116–23. doi: 10.1016/j.fertnstert.2008.05.037. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Feinberg EC, Larsen FW, Catherino WH, Zhang J, Armstrong AY. Comparison of assisted reproductive technology utilization and outcomes between Caucasian and African American patients in an equal-access-to-care setting. Fertil Steril. 2006;85:888–94. doi: 10.1016/j.fertnstert.2005.10.028. [DOI] [PubMed] [Google Scholar]
- 12.Feinberg EC, Larsen FW, Wah RM, Alvero RJ, Armstrong AY. Economics may not explain Hispanic underutilization of assisted reproductive technology services. Fertil Steril. 2007;88:1439–41. doi: 10.1016/j.fertnstert.2007.01.031. [DOI] [PubMed] [Google Scholar]
- 13.Chandra A, Stephen EH. Infertility service use among U.S. women: 1995 and 2002. Fertil Steril. 2010;93:725–36. doi: 10.1016/j.fertnstert.2008.10.049. [DOI] [PubMed] [Google Scholar]
- 14.Stephen E, Chandra A. Use of infertility services in the United States: 1995. Fam Plann Perspect. 2000;32:132–7. [PubMed] [Google Scholar]
- 15.Inhorn MC, Fakih MH. Arab Americans, African Americans, and infertility: barriers to reproduction and medical care. Fertil Steril. 2006;85:844–52. doi: 10.1016/j.fertnstert.2005.10.029. [DOI] [PubMed] [Google Scholar]
- 16.Lamb JD, Huddleston HG, Purcell KJ, Modan AE, Farsani TT, Dingledein MA, et al. Asian ethnicity is associated with decreased pregnancy rates following intrauterine insemination. Reprod Biomed Online. 2009;19:252–6. doi: 10.1016/s1472-6483(10)60081-8. [DOI] [PubMed] [Google Scholar]
- 17.Anand Kumar T, Puri C, Gopalkrishnan K, Hinduja I. The In Vitro Fertilization and Embryo Transfer (IVF-ET) and Gamete Intrafallopian Transfer (GIFT) Program at the Institute for Research in Reproduction (ICMR) and the King Edward Memorial Hospital, Parel, Bombay, India. J In Vitro Fert Embryo Transf. 1988;5:376–7. doi: 10.1007/BF01129575. [DOI] [PubMed] [Google Scholar]
- 18.Lashen H, Afnan M, Sharif K. A controlled comparison of ovarian response to controlled stimulation in first generation Asian women compared with white Caucasians undergoing in vitro fertilisation. Br J Obstet Gynaecol. 1999;106:407–9. doi: 10.1111/j.1471-0528.1999.tb08291.x. [DOI] [PubMed] [Google Scholar]
- 19.Mahmud G, López Bernal A, Yudkin P, Ledger W, Barlow D. A controlled assessment of the in vitro fertilization performance of British women of Indian origin compared with white women. Fertil Steril. 1995;64:103–6. [PubMed] [Google Scholar]
- 20.James C, Hammond K, Steinkampf M. Race and assisted reproduction: a case-controlled study of outcomes in African-American and Caucasian women. Fertil Steril. 2002;78:s123. [Google Scholar]
- 21.Nichols JE, Jr, Higdon HL, 3rd, Crane MMT, Boone WR. Comparison of implantation and pregnancy rates in African American and white women in an assisted reproductive technology practice. Fertil Steril. 2001;76:80–4. doi: 10.1016/s0015-0282(01)01853-2. [DOI] [PubMed] [Google Scholar]
- 22.Sharara FI, McClamrock HD. Differences in in vitro fertilization (IVF) outcome between white and black women in an inner-city, university-based IVF program. Fertil Steril. 2000;73:1170–3. doi: 10.1016/s0015-0282(00)00524-0. [DOI] [PubMed] [Google Scholar]
- 23.Bendikson K, Cramer DW, Vitonis A, Hornstein MD. Ethnic background and in vitro fertilization outcomes. Int J Gynaecol Obstet. 2005;88:342–6. doi: 10.1016/j.ijgo.2004.11.022. [DOI] [PubMed] [Google Scholar]
- 24.Dayal MB, Gindoff P, Dubey A, Spitzer TLB, Bergin A, Peak D, et al. Does ethnicity influence in vitro fertilization (IVF) birth outcomes? Fertil Steril. 2009;91:2414–8. doi: 10.1016/j.fertnstert.2008.03.055. [DOI] [PubMed] [Google Scholar]
- 25.Fujimoto VY, Luke B, Brown MB, Jain T, Armstrong A, Grainger DA, et al. Racial and ethnic disparities in assisted reproductive technology outcomes in the United States. Fertil Steril. 2010;93:382–90. doi: 10.1016/j.fertnstert.2008.10.061. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Seifer DB, Zackula R, Grainger DA. Trends of racial disparities in assisted reproductive technology outcomes in black women compared with white women: Society for Assisted Reproductive Technology 1999 and 2000 vs. 2004–2006. Fertil Steril. 2010;93:626–35. doi: 10.1016/j.fertnstert.2009.02.084. [DOI] [PubMed] [Google Scholar]
- 27.Palep-Singh M, Picton HM, Vrotsou K, Maruthini D, Balen AH. South Asian women with polycystic ovary syndrome exhibit greater sensitivity to gonadotropin stimulation with reduced fertilization and ongoing pregnancy rates than their Caucasian counterparts. Eur J Obstet Gynecol Reprod Biol. 2007;134:202–7. doi: 10.1016/j.ejogrb.2007.02.005. [DOI] [PubMed] [Google Scholar]
- 28.Purcell K, Schembri M, Frazier LM, Rall MJ, Shen S, Croughan M, et al. Asian ethnicity is associated with reduced pregnancy outcomes after assisted reproductive technology. Fertil Steril. 2007;87:297–302. doi: 10.1016/j.fertnstert.2006.06.031. [DOI] [PubMed] [Google Scholar]
- 29.Langen E, Shahine LK, Beaver K, Lathi RB, Milki AA, Fujimoto VY, et al. Asian ethnicity associated with decreased live birth rate after blastocyst transfer. Fertil Steril. 2008;89:S17. [Google Scholar]
- 30.Traub M, Van Arsdale A, Pal L, Jindal S, Santoro N. Endometrial thickness, Caucasian ethnicity, and age predict clinical pregnancy following fresh blastocyst embryo transfer: a retrospective cohort. Reprod Biol Endocrinol. 2009;7:33. doi: 10.1186/1477-7827-7-33. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Popat VB, Calis KA, Vanderhoof VH, Cizza G, Reynolds JC, Sebring N, et al. Bone mineral density in estrogen-deficient young women. J Clin Endocrinol Metab. 2009;94:2277–83. doi: 10.1210/jc.2008-1878. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Ogden CL, Carroll MD, Curtin LR, McDowell MA, Tabak CJ, Flegal KM. Prevalence of overweight and obesity in the United States, 1999–2004. JAMA. 2006;295:1549–55. doi: 10.1001/jama.295.13.1549. [DOI] [PubMed] [Google Scholar]
- 33.Awartani K, Nahas S, Al Hassan S, Al Deery M, Coskun S. Infertility treatment outcome in sub groups of obese population. Reprod Biol Endocrinol. 2009;7:52. doi: 10.1186/1477-7827-7-52. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Bellver J, Ayllón Y, Ferrando M, Melo M, Goyri E, Pellicer A, et al. Female obesity impairs in vitro fertilization outcome without affecting embryo quality. Fertil Steril. 2010;93:447–54. doi: 10.1016/j.fertnstert.2008.12.032. [DOI] [PubMed] [Google Scholar]
- 35.Jungheim ES, Lanzendorf SE, Odem RR, Moley KH, Chang AS, Ratts VS. Morbid obesity is associated with lower clinical pregnancy rates after in vitro fertilization in women with polycystic ovary syndrome. Fertil Steril. 2009;92:256–61. doi: 10.1016/j.fertnstert.2008.04.063. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Orvieto R, Meltcer S, Nahum R, Rabinson J, Anteby E, Ashkenazi J. The influence of body mass index on in vitro fertilization outcome. Int J Gynaecol Obstet. 2008;104:53–5. doi: 10.1016/j.ijgo.2008.08.012. [DOI] [PubMed] [Google Scholar]
- 37.Tamer Erel C, Senturk LM. The impact of body mass index on assisted reproduction. Curr Opin Obstet Gynecol. 2009;21:228–35. doi: 10.1097/GCO.0b013e32832aee96. [DOI] [PubMed] [Google Scholar]
- 38.Wang Y, Beydoun M. The obesity epidemic in the United States—gender, age, socioeconomic, racial/ethnic, and geographic characteristics: a systematic review and meta-regression analysis. Epidemiol Rev. 2007;29:6–28. doi: 10.1093/epirev/mxm007. [DOI] [PubMed] [Google Scholar]
- 39.Park YW, Zhu S, Palaniappan L, Heshka S, Carnethon MR, Heymsfield SB. The metabolic syndrome: prevalence and associated risk factor findings in the US population from the Third National Health and Nutrition Examination Survey, 1988–1994. Arch Intern Med. 2003;163:427–36. doi: 10.1001/archinte.163.4.427. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Selo-Ojeme D, Lawal O, Shah J, Mandal R, Pathak S, Selo-Ojeme U, et al. The incidence of uterine leiomyoma and other pelvic ultrasonographic findings in 2,034 consecutive women in a north London hospital. J Obstet Gynaecol. 2008;28:421–3. doi: 10.1080/01443610802149863. [DOI] [PubMed] [Google Scholar]
- 41.Borgfeldt C, Andolf E. Transvaginal ultrasonographic findings in the uterus and the endometrium: low prevalence of leiomyoma in a random sample of women age 25–40 years. Acta Obstet Gynecol Scand. 2000;79:202–7. [PubMed] [Google Scholar]
- 42.Eskenazi B, Warner M, Samuels S, Young J, Gerthoux PM, Needham L, et al. Serum dioxin concentrations and risk of uterine leiomyoma in the Seveso Women's Health Study. Am J Epidemiol. 2007;166:79–87. doi: 10.1093/aje/kwm048. [DOI] [PubMed] [Google Scholar]
- 43.Marino JL, Eskenazi B, Warner M, Samuels S, Vercellini P, Gavoni N, et al. Uterine leiomyoma and menstrual cycle characteristics in a population-based cohort study. Hum Reprod. 2004;19:2350–5. doi: 10.1093/humrep/deh407. [DOI] [PubMed] [Google Scholar]
- 44.Gaym A. Leiomyoma uteri in Ethiopian women: a clinical study. Ethiop Med J. 2004;42:199–204. [PubMed] [Google Scholar]
- 45.Oram R, Philpott R. The management of uterine fibroids in the Rhodesian African. Cent Afr J Med. 1970;16:143–6. [PubMed] [Google Scholar]
- 46.Rubin A, Ford JA. Uterine fibromyomata in urban blacks. A preliminary survey of the relationship between symptomatology, blood pressure and haemoglobin levels. S Afr Med J. 1974;48:2060–2. [PubMed] [Google Scholar]
- 47.Marshall LM, Spiegelman D, Barbieri RL, Goldman MB, Manson JE, Colditz GA, et al. Variation in the incidence of uterine leiomyoma among premenopausal women by age and race. Obstet Gynecol. 1997;90:967–73. doi: 10.1016/s0029-7844(97)00534-6. [DOI] [PubMed] [Google Scholar]
- 48.Wise L, Palmer J, Stewart E, Rosenberg L. Age-specific incidence rates for self-reported uterine leiomyomata in the Black Women's Health Study. Obstet Gynecol. 2005;105:563–8. doi: 10.1097/01.AOG.0000154161.03418.e3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Creighton & Creighton, Inc. What is public participation? [Accessed January 28, 2010]; Available at: http://www.creightonandcreighton.com.
- 50.International. Association for Public Participation. IAP2 Core Values. [Accessed January 28, 2010]; Available at: http://www.iap2.org.
- 51.Crook ED, Taylor H. Traditional and non-traditional risk factors for cardiovascular and renal disease in African Americans: a project of the Jackson Heart Study Investigators. Am J Med Sci. 2002;324:115. doi: 10.1097/00000441-200209000-00001. [DOI] [PubMed] [Google Scholar]
- 52.Crook ED, Taylor H. Traditional and non traditional risk factors for cardiovascular and renal disease in African Americans (Part 2): a project of the Jackson Heart Study Investigators. Am J Med Sci. 2003;325:305–6. doi: 10.1097/00000441-200306000-00001. [DOI] [PubMed] [Google Scholar]
- 53.Taylor H, Liu J, Wilson G, Golden SH, Crook E, Brunson CD, et al. Distinct component profiles and high risk among African Americans with metabolic syndrome. Diabetes Care. 2008;31:1248–53. doi: 10.2337/dc07-1810. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Crider KS, Reefhuis J, Woomert A, Honein MA. Racial and ethnic disparity in participation in DNA Collection at the Atlanta site of the National Birth Defects Prevention Study. Am J Epidemiol. 2006;164:805–12. doi: 10.1093/aje/kwj264. [DOI] [PubMed] [Google Scholar]
- 55.Johnstone E, Sandler JR, Addauan-Andersen C, Sohn SH, Fujimoto VY. Asian women are less likely to express interest in infertility research. Fertil Steril. 2009 doi: 10.1016/j.fertnstert.2009.08.011. [DOI] [PubMed] [Google Scholar]
- 56.Sweet S, Legro RS, Coney P. A comparison of methods and results in recruiting white and black women into reproductive studies: the MMC-PSU cooperative center on reproduction experience. Contemp Clin Trials. 2008;29:478–81. doi: 10.1016/j.cct.2007.11.003. [DOI] [PMC free article] [PubMed] [Google Scholar]