An exploratory study of the variables impacting preterm birth rates in New Mexico
© Gwin et al.; licensee BioMed Central Ltd. 2012
Received: 4 April 2011
Accepted: 21 June 2012
Published: 21 June 2012
Preterm birth (PTB) is a substantial health problem that accounts for significant infant morbidity and mortality and poses an economic burden to both individuals and the state of residence. The goal of this study was to identify maternal risk factors for PTB in New Mexico, a poor state with a unique ethnic background, in order to identify populations at increased risk that would benefit from intervention.
This was a cross-sectional retrospective exploratory analysis of 377,770 singleton live births in the state of New Mexico from 1991-2005. Gestational age of less than 37 weeks was defined as PTB. The Kotelchuck Index was used as a measure for level of prenatal care described as inadequate, intermediate, adequate, and intensive.
Of the live births analyzed, 28,036 of these were preterm (7.4%). Overall the PTB rate rose at a rate of 0.18% per year from 1991-2005. Among patients with medical risk factors, the absence of prenatal care was associated with higher odds for PTB as compared to adequate prenatal care. Other risk factors were unmarried status, education less than high school, tobacco/alcohol use, black, Asian, and white Hispanic ethnicity, and the presence of one or more medical risk factors. Statistically significant protective factors for PTB were age 25-29, education surpassing high school, and Native American race.
This study identified several factors that correlate with increased PTB in New Mexico, in particular ethnicity and level of prenatal care. The finding that Native American patients have a lower PTB rate compared to other groups, even though this group is traditionally one of low socioeconomic status in New Mexico, signifies that other factors yet to be identified affect PTB.
KeywordsPreterm birth Prenatal care Education Ethnicity Maternal age
Preterm birth (PTB), defined as birth before 37 weeks gestational age, is a significant health problem throughout the world. In the US, disorders associated with prematurity account for the leading cause of death during the neonatal period (birth to 28 days) and is second only to congenital malformations as the major cause of death during infancy (birth to one year) . According to the March of Dimes Premature Birth Report Card, one in eight infants were born preterm in 2010 in the US. By comparison, the PTB rate in New Mexico rose from 10.8% in 2004 to 12.3% in 2008. Furthermore, prematurity-associated disorders were the leading cause of death in infancy in New Mexico in 2004 . In order to begin to combat this significant problem at both the national and state levels, a clear elucidation of the causes of PTB is needed.
The causes of preterm labor are multifactorial and continue to be a focus of research. In about 20% of cases, preterm labor is induced due to complications of pregnancy (iatrogenic) . Some examples of such complications are preeclampsia, the related HELLP syndrome, placental abruption and intrauterine growth restriction . However, the majority of preterm labor occurs spontaneously. Although some factors that predispose to preterm labor and/or birth have yet to be discovered, some risks have been identified. Women with a previous spontaneous preterm delivery have a 2.5-fold greater incidence of PTB as compared to multiparous women with no prior PTB . In observational studies, lack of prenatal care has also been associated with higher rates of PTB [6, 7], though similar results were not obtained in randomized trials in which a high level of prenatal care was administered to high-risk patients . Low levels of education, extreme maternal age, and single marital status have been classified as risk factors for PTB . Finally, maternal race has also been shown to be a factor in rates of preterm delivery, with a majority of research in the US focusing on the approximately two- to three-fold greater risk of PTB among black women as opposed to white women [9, 10].
With regards to race and ethnicity in particular, black women have the highest percentage of preterm births, with an average rate of 17.8% in 2003 as compared to 11.3% for non-Hispanic whites . The most remarkable increases in PTB in the US from 2001 to 2003 were among non-Hispanic whites (2.73%), Hispanic (2.59%), and Native American (3.05%) ethnicities as compared to the national increase of 1.65% [10, 11]. This information is of particular interest for this study given that non-Hispanic whites account for 43.5% of New Mexico residents, 41.5% are Hispanic, 11% are Native American, and only about 4% of the population are black or of Asian descent . Few studies have evaluated the relationship between Native American ethnicity and PTB, with one study showing that this group has increased maternal risk factors (e.g., tobacco and alcohol use, hypertension), decreased utilization of prenatal care and a 32.5% higher PTB rate as compared to non-Hispanic whites . While variables other than race/ethnicity may contribute to the increased PTB rate in Hispanics and Native Americans, such as socioeconomic disparities, it is important to understand if the national trends of PTB among different ethnicities are replicated in New Mexico.
In addition to ethnic and racial distribution, New Mexico has a high proportion of other potential socioeconomic risk factors for PTB. First, the median household income in 2005 ranked 44th of 50 nationally, and in that same year 18.5% of the population lived below the poverty level. The state also ranked only 41st for residents >25 years old with a high school diploma, demonstrating a level of education well below the US mean. Finally, a recent retrospective study of utilization of prenatal care in New Mexico 1989-1999 demonstrated that low-income mothers had significantly fewer prenatal visits than high-income mothers . The aim of this observational study was to identify sub-populations at increased risk for PTB in New Mexico and to understand if any specific maternal factors, particularly socioeconomic variables or level of prenatal care, strongly correlate with incidence of PTB.
This was a cross-sectional study. Birth data from 1991-2005 were obtained from the New Mexico Department of Health Bureau of Vital Records and Health Statistics. The data were ascertained from birth certificates from all hospitals and birth centers in the state. The completeness and the accuracy of the data were reviewed and audited by the Department of Health, the State of New Mexico. This study was reviewed by the University of New Mexico Human Research Review Committee and was deemed to be exempt. Unless specified, all the reported results are adjusted.
Demographics, unadjusted odds ratios, and excluded records, New Mexico 1991-2005
No. of records total 1990-2005: 451742
Minimum no. in a year (1997): 27484
Maximum no. in a year (2005): 29456
% of total
% Preterm after Exclusions
Unadjusted Odds Ratio
> = 40
Maternal Education Level (# of years)
Maternal Marital Status
Maternal Tobacco Use
Maternal Alcohol Use
Individual high risk factors*
Previous preterm infant
Overall Preterm (estgest < 37)
Missing estgest value
Total exclusions for anomalies**
Multiple births or missing information on number born
Out of state resident***
Adjusted odds ratios for risk of PTB by demographic and perinatal characteristics, New Mexico, 1991-2005
Adjusted Odds Ratio
95% Confidence Interval
Reference age = 25-29
Maternal Education Level
Reference education level = 9-12 years
Number of years
Reference ethnicity = White Non-Hispanic
Normal Risk Pregnancy and Level of Prenatal Care
Reference level of care = Kotelchuck adequate
High Risk Pregnancy and Level of Prenatal Care
Not surprisingly, those women with medical risk factors for PTB had statistically significantly higher odds of having a preterm baby for all levels of prenatal care than those without medical risk factors (Table 2). The effect of no prenatal care was particularly severe among women with medical risk factors.
Women of Asian, white Hispanic, and black ethnicities had increased odds for PTB compared to white non-Hispanic mothers (Table 2). Being of Native American ethnicity conferred a statistically significant protective effect on odds for PTB (Table 2). Women of all other ethnicities did not differ significantly compared to white non-Hispanics (Figure 2, Table 2).
Maternal age of 25-29 conferred the lowest odds for PTB. The odds increased significantly on either side of the maternal age extremes. Age of less than 15 years conferred the greatest odds for PTB, with an odds ratio almost double that of mothers giving birth at ages 25-29 (Figure 2, Table 2).
Having greater than 12 years of education was a statistically significant protective factor for PTB. Less than 9 years of education as compared to 9-12 years did not confer any statistically significant benefit or odds for PTB (Figure 2, Table 2). We also examined whether education levels had differing benefits across ethnicities. However, we found that the benefits of education in reducing PTB were consistently seen regardless of the ethnic group evaluated (data not shown).
Unmarried mothers had 14% increased odds for PTB (OR = 1.14; 95% CI = 1.10-1.17; p <0.0001) as compared to women who were married at the time of parturition. Additionally, alcohol and tobacco use during pregnancy both increased the odds of PTB by 37% (95% CI = 1.32-1.42; p <0.0001) for tobacco use and 30% (95% CI = 1.21-1.41; p <0.0001) for alcohol use.
In this analysis of deliveries in New Mexico from 1991-2005, many risk factors for PTB were elucidated. We found that even excluding fetal conditions that could predispose to PTB, almost 8% of babies were born at an early gestational age. Additionally, the rate of PTB rose in New Mexico over 1991-2005, and the rise was statistically significant. This is consistent with trends across the country [3, 10, 17, 18]. Those factors that conferred greater risk included the following: (1) having too little prenatal care, (2) a high risk pregnancy complicated by maternal risk factors, (3) being of Asian, white Hispanic or black ethnicity compared to non-Hispanic white, (4) extremes of maternal age, either young or old, (5) less maternal education, (6) unmarried mothers, and (7) alcohol or tobacco use. Protective factors in our analysis were (1) having intermediate or adequate levels of prenatal care, (2) having no medical risk factors, (3) being of Native American ethnicity, (4) maternal age 25-29, (5) having more than a high school education, (6) being married, and (7) abstaining from alcohol and tobacco use during pregnancy.
Women with a lack of or inadequate prenatal care as defined by the Kotelchuck index had significantly increased odds of having a PTB. Among women with normal risk pregnancies, an intensive level of prenatal care was associated with higher odds for PTB as compared to intermediate care. However, the likely reason for this unexpected trend is that these “normal risk” patients had a complication that was not reported on the birth certificate data that resulted in intensive prenatal care. Having a high risk pregnancy increased the risk of PTB, similar to findings from numerous other studies . However, among women with high risk pregnancies, an intensive level of prenatal care correlated with a decreased the risk for PTB as compared to no prenatal care, which is consistent with several other observational studies [6–8]. Our observation that high risk pregnancies that received intensive prenatal care had increased odds of PTB may simply reflect the severity of complications associated with those pregnancies. It should be noted, however, that similar results were not obtained in randomized trials, suggesting that other factors secondary to prenatal intervention affect PTB rates .
Blacks, Asians, and Hispanics had an increased risk of PTB compared with White non-Hispanics. The increased risk for PTB among black women is not surprising given the large number of confirmatory studies previously published [19–22]. Hispanics did have a statistically significant increase in risk for PTB in this study, but it was very slight, with an increased risk of only 5%. Interestingly, recent immigrants have been found to have a lower incidence of preterm birth as compared to immigrants living in the US for greater than five years . Though our study did not segregate based on immigration status or number of years in the US, it would be of interest to understand how this variable affects preterm birth rates among Hispanics in New Mexico since they comprise nearly half of the total population in the state.
More interesting, perhaps, is the protective effect of Native American ethnicity on PTB. This is one of the major contributions of our study since there have been few comparative studies on PTB in the Native American population [13, 14, 24]. However, a majority of these studies found that Native Americans have decreased PTB rates as compared to other high-risk races/ethnicities such that rates are similar to non-Hispanic whites [14, 24]. For example, a recent study by Schillaci found no correlation with level of prenatal care and incidence of PTB. This lack of trend has been observed with other high-risk variables in the Native American population, including poverty-level income, single marital status, and a low level of maternal education [14, 24]. Future studies are necessary to identify causal factors that decrease PTB incidence in Native Americans in New Mexico and may be related to behavioral or psychosocial factors that are specific to this ethnicity and not available for analysis in this study. It should be noted that prenatal care for Native Americans in New Mexico is universally available through the Indian Health Service, and it is also possible that such access contributes to the reduced preterm birth rate in this population.
Though information was available on a large number of patients over a 15-year span, a limitation of this study, as with all research that depends upon data collected from birth certificates, was that not all clinical information was recorded. For example, birth certificates do not record whether the PTB was medically indicated for maternal complications. Because information about multiple births per unique woman was not available in the dataset, we did not limit the analysis to one record per unique woman but we did include a variance inflation factor to account for the maximum impact the clustering might have had. Also, we were not able to refine this analysis for the variables of parity or medical or surgical interventions to prevent or treat preterm labor, such as cerclage or tocolysis. Such indicated deliveries certainly contributed to the increased numbers of PTBs among women with risk factors which we found in this study. This study used the date of the last menstrual period, first examination, and ultrasound, when available, as the primary variable to define gestational age (termed estgest variable, which is consistent with the physician’s best estimated gestational age). This value was used because the calculated gestational age based on last menstrual period alone (calgest) was not available for many records and because the estgest variable is more reliable. It should be noted, however, that the increased use of ultrasound to estimate gestational age, which was included in estgest, over the span of the study could have provided a more accurate measure for cases that occurred later in the time period. Next, though maternal complications were available for inclusion in the analyses, previous studies have demonstrated that this information as well as behavioral risk factors (e.g., smoking/alcohol use) may be under- or over-reported on birth records . Similarly, it is possible that medical conditions that are classified as high risk factors for PTB were under-reported, particularly for those women with an absence of or inadequate prenatal care. However, among those women without recorded risk factors, iatrogenic preterm delivery prior to 37 weeks is likely to be quite low, and we do not believe that iatrogenic delivery in low risk patients skewed the data. Thus, we surmise that the majority of PTBs in low risk women were spontaneous, though future prospective analyses will be needed to confirm this assumption.
In conclusion, we have identified many risk factors for PTB among New Mexico women, including those at the extremes of age, those of lower socioeconomic status, those of Hispanic, Asian, or black ethnicity and those with underlying medical risk factors. Since our data indicate that adequate prenatal care correlates with a lower risk of PTB for normal risk pregnancies, and lack of prenatal care was associated with increased probability of PTB for high risk pregnancies, we propose that adequate levels of prenatal care have the potential to decrease incidence of PTB. However, much remains unknown with respect to PTB. By further study and increased provider vigilance, it is hoped that we can curb this significant health problem and improve pregnancy and neonatal outcomes.
Acknowledgements and funding
This project would not have been possible without the support of the New Mexico Department of Health. This project was also supported by DHHS/PHS/NIH/NCRR/GCRC Grant #5 M01 RR00997. Further support was provided by the University of New Mexico Department of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine and NIH R01CA99908 (KKL). We thank Dr. Dawei Liu for assistance with statistical analyses.
- Anderson RN, Smith BL: Deaths: leading causes for 2002. Natl Vital Stat Rep. 2005, 53 (17): 1-90. Hyattsville, Maryland: National Center for Health StatisticsPubMedGoogle Scholar
- Birth and mortality monograph: 2004 preliminary data. New Mexico Department of Health, Bureau of Vital Records and Health Statistics, Epidemiology and Response Division. 2005, NMDH, BVRHS, Santa Fe, New MexicoGoogle Scholar
- Caughey A: Definition, incidence, significance, and demographic characteristics of preterm birth. 2006, Up To Date, InGoogle Scholar
- Meis PJ, Michielutte R, Peters TJ, Wells HB, Sands RE, Coles EC, Johns KA: Factors associated with preterm birth in Cardiff. Wales. II. Indicated and spontaneous preterm birth. Am J Obstet Gynecol. 1995, 173 (2): 597-602.View ArticlePubMedGoogle Scholar
- Mercer BM, Goldenberg RL, Moawad AH, Meis PJ, Iams JD, Das AF, Caritis SN, Miodovnik M, Menard MK, Thurnau GR, et al: The preterm prediction study: effect of gestational age and cause of preterm birth on subsequent obstetric outcome. National Institute of Child Health and Human Development Maternal-Fetal Medicine Units Network. Am J Obstet Gynecol. 1999, 181 (5 Pt 1): 1216-1221.View ArticlePubMedGoogle Scholar
- Kotelchuck M: The Adequacy of Prenatal Care Utilization Index: its US distribution and association with low birthweight. Am J Public Health. 1994, 84 (9): 1486-1489.View ArticlePubMedPubMed CentralGoogle Scholar
- Mustard CA, Roos NP: The relationship of prenatal care and pregnancy complications to birthweight in Winnipeg, Canada. Am J Public Health. 1994, 84 (9): 1450-1457.View ArticlePubMedPubMed CentralGoogle Scholar
- Kramer MS, Goulet L, Lydon J, Seguin L, McNamara H, Dassa C, Platt RW, Chen MF, Gauthier H, Genest J, et al: Socio-economic disparities in preterm birth: causal pathways and mechanisms. Paediatr Perinat Epidemiol. 2001, 15 (Suppl 2): 104-123.View ArticlePubMedGoogle Scholar
- Goldenberg RL, Culhane JF, Iams JD, Romero R: Epidemiology and causes of preterm birth. Lancet. 2008, 371 (9606): 75-84.View ArticlePubMedGoogle Scholar
- Preterm birth: causes, consequences, and prevention Washington, D.C. Edited by: Behrman Butler. 2007, National Academies Press, Washington, D.CGoogle Scholar
- Hamilton BE, Martin JA, Sutto PD: Births: preliminary data for 2003. Natl Vital Stat Rep. 2004, 53 (9): 1-17. Hyattsville, Maryland: National Center for Health StatisticsPubMedGoogle Scholar
- New Mexico Selected Health Statistics Annual Report: New Mexico Department of Health, Bureau of Vital Records and Health Statistics. 2004, NMDH, BVRHS, Santa Fe, New MexicoGoogle Scholar
- Alexander GR, Wingate MS, Boulet S: Pregnancy outcomes of American Indians: contrasts among regions and with other ethnic groups. Matern Child Health J. 2008, 12 (Suppl 1): 5-11.View ArticlePubMedGoogle Scholar
- Schillaci MA, Waitzkin H, Carson EA, Romain SJ: Prenatal care utilization for mothers from low-income areas of New Mexico, 1989-1999. PLoS One. 2010, 5 (9): e12809-View ArticlePubMedPubMed CentralGoogle Scholar
- VanderWeele TJ, Lantos JD, Siddique J, Lauderdale DS: A comparison of four prenatal care indices in birth outcome models: comparable results for predicting small-for-gestational-age outcome but different results for preterm birth or infant mortality. J Clin Epidemiology. 2009, 62 (4): 438-445.View ArticleGoogle Scholar
- Andersen AM, Mortensen LH: Socioeconomic inequality in birth outcomes: what do the indicators tell us, and where do we find the data?. C M A J. 2006, 174 (10): 1429-1430.Google Scholar
- Kelly MM: The basics of prematurity. J Pediatr Health Care. 2006, 20 (4): 238-244.View ArticlePubMedGoogle Scholar
- Peristats: Prematurity Profile New Mexico. New Mexico March of Dimes. 2006, March of Dimes Birth Defects Foundation, Albuquerque, New MexicoGoogle Scholar
- Parker JD, Schoendorf KC, Kiely JL: Associations between measures of socioeconomic status and low birth weight, small for gestational age, and premature delivery in the United States. Ann Epidemiol. 1994, 4 (4): 271-278.View ArticlePubMedGoogle Scholar
- Misra DP, O'Campo P, Strobino D: Testing a sociomedical model for preterm delivery. Paediatr Perinat Epidemiol. 2001, 15 (2): 110-122.View ArticlePubMedGoogle Scholar
- Kaufman JS, Dole N, Savitz DA, Herring AH: Modeling community-level effects on preterm birth. Ann Epidemiol. 2003, 13 (5): 377-384.View ArticlePubMedGoogle Scholar
- Pickett KE, Collins JW, Masi CM, Wilkinson RG: The effects of racial density and income incongruity on pregnancy outcomes. Soc Sci Med. 2005, 60 (10): 2229-2238.View ArticlePubMedGoogle Scholar
- Guendelman S, English PB: Effect of United States residence on birth outcomes among Mexican immigrants: an exploratory study. Am J Epidemiol. 1995, 142 (9 Suppl): S30-38.View ArticlePubMedGoogle Scholar
- Buck GM, Mahoney MC, Michalek AM, Powell EJ, Shelton JA: Comparison of Native American births in upstate New York with other race births, 1980-86. Public Health Rep. 1992, 107 (5): 569-575.PubMedPubMed CentralGoogle Scholar
- Vinikoor LC, Messer LC, Laraia BA, Kaufman JS: Reliability of variables on the North Carolina birth certificate: a comparison with directly queried values from a cohort study. Paediatr Perinat Epidemiol. 2010, 24 (1): 102-112.View ArticlePubMedPubMed CentralGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2393/12/53/prepub
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