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RESEARCH AND PRACTICE |
At the time of the study, all authors worked in the Division of Reproductive Health, Centers for Disease Control and Prevention (CDC), Atlanta, Ga. Kay M. Tomashek and Cheng Qin are with the Maternal and Infant Health Branch, Division of Reproductive Health, CDC. Jason Hsia and Lisa M. Flowers are with Information Technology, Statistics and Surveillance Branch, Division of Reproductive Health, CDC. Wanda D. Barfield is with the Applied Sciences Branch, Division of Reproductive Health, CDC. Solomon Iyasu is with the Office of Counterterrorism and Pediatric Drug Development, Division of Pediatric Drug Development, Center for Drug Evaluation and Research, Food and Drug Administration, Rockville, Md.
Correspondence: Requests for reprints should be sent to Kay M. Tomashek, Maternal and Infant Health Branch, Division of Reproductive Health, Centers for Disease Control and Prevention, Mail Stop K-23, 4770 Buford Highway, NE, Atlanta, GA 303413717 (e-mail: kct9{at}cdc.gov).
| ABSTRACT |
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Objectives. To describe changes in infant mortality rates, including birthweight-specific rates and rates by age at death and cause.
Methods. We analyzed US linked birth/infant-death data for 19891991 and 19982000 for American Indians/Alaska Native (AIAN) and White singleton infants at
20 weeks gestation born to US residents. We calculated birthweight-specific infant mortality rates (deaths in each birthweight category per 1000 live births in that category), and overall and cause-specific infant mortality rates (deaths per 100000 live births) in infancy (0364 days) and in the neonatal (027 days) and postneonatal (28364 days) periods.
Results. Birthweight-specific infant mortality rates declined among AIAN and White infants across all birthweight categories, but AIAN infants generally had higher birthweight-specific infant mortality rates. Infant mortality rates declined for both groups, yet in 19982000, AIAN infants were still 1.7 times more likely to die than White infants. Most of the disparity was because of elevated post-neonatal mortality, especially from sudden infant death syndrome, accidents, and pneumonia and influenza.
Conclusions. Although birthweight-specific infant mortality rates and infant mortality rates declined among both AIAN and White infants, disparities in infant mortality persist. Preventable causes of infant mortality identified in this analysis should be targeted to reduce excess deaths among AIAN communities.
| INTRODUCTION |
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Historically, American Indians/Alaska Natives have had high infant mortality rates, especially during the postneonatal period.6 Disease patterns and health disparities among this heterogeneous population have been associated with poverty, limited access to health care services, and cultural dislocation.710 Much of the research on infant mortality among American Indians/Alaska Natives has focused on their greater risk of sudden infant death syndrome (SIDS);11,12 little is known about other causes of death among (Ameri-can Indians/Alaska Native) AIAN infants.
To develop effective interventions to reduce infant mortality among AIAN communities, we must understand trends in the infant mortality rate among the most vulnerable, low-birthweight infants, whose survival may depend on timely access to quality obstetric and neonatal care,7,8,1315 and how the infant mortality rate varies by age at death and cause over time. To address these issues, we analyzed changes in birthweight-specific infant mortality rate and in infant mortality rate by cause and timing of death from 19891991 to 19982000 among AIAN and White singleton infants in the United States.
| METHODS |
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Study Population
The study population consisted of all live-born singleton infants
20 weeks gestation born to women who were US residents. The race of the infant was defined by the mothers reported race on the birth certificate. Records with missing maternal race data were deleted. In addition, records with implausible, inconsistent, or missing values for birthweight and/ or gestational age were deleted according to procedures outlined elsewhere.16 Using these criteria, 6.9% of all AIAN births and 6.9% of White births were excluded from the analysis.
Analysis Plan
For each time period, we calculated birthweight-specific infant mortality rates by dividing the number of infants (aged 0364 days) within a specific birthweight category who were born in that time period and who died by the total number of infants within that category who were born in that time period. Birthweight categories were defined in grams as follows: high birthweight, 45007999 g; normal birthweight, 25004499 g; moderately low birthweight, 15002499 g; very low birthweight, 10001499 g; and extremely low birthweight, 500999 g. We directly standardized the birthweight-specific infant mortality rate using the 19982000 gestational age distribution and stratified by maternal race. Infants with birthweights <500 g or >7999 g were not included in our analysis of birthweight-specific infant mortality rate. Birthweight-specific infant mortality rates were not reported if they were on the basis of fewer than 20 deaths in the numerator.
We compared cause-specific infant mortality rates, defined as infant deaths per 100000 live births, by leading causes and age at death between AIAN and White infants. We derived cause-of-death data from the underlying cause of death on the death certificate and as defined by the International Classification of Diseases, Ninth and Tenth Revisions (ICD-9 and ICD-10) groupings.17,18 In 1999, the ICD-10 groupings replaced the ICD-9 groupings in the national linked birth/ infant death data file. We followed NCHSs guidance on how to compare ICD-9 to ICD-10 groups,19 and we ranked the leading causes of death using the most recent ranking list for both time periods. To calculate overall and cause-specific neonatal mortality rates and postneonatal mortality rates, we defined the neonatal period as the time from birth to 27 completed days and the postneonatal period as 28364 days after birth. Cause-specific neonatal mortality rates were calculated by dividing the number of infants born in a particular year who died from a particular cause in the neonatal period by the live births for that year. Cause-specific postneonatal mortality rates were calculated by dividing infants born in a particular year who died from a particular cause in the postneonatal period by the live births in that year minus those who died in the neonatal period. Cause-specific infant mortality rates were not reported if they were on the basis of fewer than 20 deaths.
All statistical analyses were performed using SAS version 8.0 software (SAS Institute Inc., Cary, NC).20 We constructed confidence intervals for all rates and performed the z-test using NCHS methods.21 We compared confidence intervals and z-scores to assess if there was a significant change in rates from 19891991 to 19982000 for each race and to determine if there was a significant difference in rates between White and AIAN infants in 19982000.
| RESULTS |
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20 weeks gestation were born to US resident mothers; in 19982000, there were 11414 331 such births. One percent (0.9% in 19891991 and 1.0% in 19982000) of these infants were American Indians/Alaska Natives. Birthweight-specific infant mortality rates among AIAN infants were higher across all birthweight categories and in both time periods than among White infants (Table 1
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Neonatal Mortality Rates by Cause of Death
The neonatal mortality rate was greater among AIAN than White infants in both time periods, and both groups of infants had a significant decline in the neonatal mortality rate (Table 3
). The proportion of all infant deaths that occurred during the neonatal period increased slightly for both groups from the first to second time period (44%49% for AIAN and 59%62% for White infants). Among leading causes of death, cause-specific neonatal mortality rates were greater among AIAN than White infants, but the difference did not reach statistical significance. For those conditions with sufficient numbers of deaths to allow reporting of cause-specific neonatal mortality rates in both time periods, both groups had a significant decline in the neonatal mortality rate for congenital anomalies. In addition, White infants had a significant decline in respiratory distress syndrome.
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Postneonatal Mortality Rates and Cause of Death
The postneonatal mortality rate was greater among AIAN than White infants during both time periods of interest (Table 4
). The postneonatal mortality rate significantly declined among both groups, but this rate declined more among AIAN infants (39% and 30%). Both groups of infants had significant declines in postneonatal mortality rate for SIDS and congenital anomalies. AIAN infants had a greater decline in the postneonatal mortality rate for SIDS (58% vs 52%), congenital anomalies (43% vs 24%), and accidents (22% vs 3%). Even with the greater decline for AIAN infants, 19982000 rates for postneonatal mortality were 2.6 times as high among AIAN as among White infants for SIDS, 3.0 times as high for accidents, and 4.0 times as high for pneumonia and influenza (data for White infants not shown).
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| DISCUSSION |
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Despite the racial disparity in birthweight-specific infant mortality rates, AIAN infants had the greater declines in rates up through 15002499 g. Birthweight-specific infant mortality rates, particularly among very low-birthweight infants, are thought to be influenced by access to quality obstetric and neonatal care and are often used as a measure of disparity in access to quality care.1315,23 The decline in birthweight-specific infant mortality rates among very low-birthweight AIAN infants may reflect an improvement over the past decade in the quality of health services, greater access to health care, or more appropriate referral of high-risk pregnancies to facilities with the capacity to care for these small, often premature, infants. Obtaining access to quality health care has been a major public health concern among AIAN communities, and differences in access have been reported by residence (urban vs rural) and by geographic location.78,24 The remoteness of many AIAN communities and difficulties in recruiting and retaining professional staff to serve in isolated Indian Health Service areas are obstacles to providing quality delivery services.25 To assure that these declines in birth-weight-specific infant mortality rates among AIAN infants continue, current successful systems and strategies need to be identified and emulated. As birthweight-specific infant mortality rates among high-birthweight AIAN infants were 5 times as great as rates among White infants in 19982000, new culturally appropriate interventions are needed to assure that all high-risk AIAN pregnancies are identified early and delivered in appropriate health care settings.
The risk factors for infant mortality and its causes vary by age at death. Neonatal deaths are often associated with events surrounding pregnancy, delivery, and neonatal care following birth, whereas postneonatal deaths are more likely to be associated with conditions or events that arise following discharge to home, and reflect environmental factors and primary health care issues.26,27 Because the interventions needed to address these causes are quite different, understanding of the timing and pattern of deaths within a population is essential to designing appropriate mortality-reduction strategies. We found that, unlike the success among low-birthweight infants, normal-birthweight AIAN infants experienced slightly less of a decline in birth-weight-specific infant mortality rate than did White infants, leading to an increase in health disparity. Most of the increase was because of elevated rates of postneonatal mortality, especially because of SIDS, accidents, and pneumonia and influenza. Accidents and pneumonia and influenza are potentially preventable causes of infant death, and the risk factors for SIDS are well defined. Disparities in preventable causes of infant death should compel us to improve the quality of primary preventive and curative health care and of the infants environment. For example, interventions to reduce parental smoking and environmental tobacco smoke may help reduce deaths because of SIDS and lower respiratory infections, as infant exposure to environmental tobacco smoke has been associated with increased rates of SIDS and hospitalizations for lower respiratory infections.2830 Although the disparities persist, AIAN infants had a significant decrease in rates for SIDS and congenital anomalies. These declines may be because of the success of local, state, and national campaigns promoting safe infant sleep environments and home safety, access to quality healthcare, and the use of folic acid supplements among women of reproductive age and pregnant women. Despite these declines, more work is needed to reduce racial disparities in infant mortality. Attention should be given to disparities, not only between AIAN infants and infants of other racial groups, but also among American Indians/Alaska Natives themselves. There are over 500 AIAN tribes in the United States, representing a variety of cultures, languages, and traditions. The heterogeneity of the AIAN population generates diverse types of risk behaviors, and infant mortality rates vary between AIAN communities.31 Although studies on intertribal disparities in infant mortality would be instructive, the practical limitations, such as the lack of adequate and reliable data and small number of deaths in the subpopula-tions, may prohibit such studies. Prevention efforts and interventions addressing known risk factors should be designed within the AIAN community using the most recent research findings and local knowledge of cultural beliefs and child-rearing practices.
Our study may be subject to a few limitations. First, there are relatively few AIAN births and infant deaths each year. When the number of events is small, the relative standard error may be large. Because of this, we performed statistical tests to determine the significance of the changes in the infant mortality rate over time and the difference in cause-specific rates between White and AIAN infants in 19982000. Second, the change in coding from ICD-9 to ICD-10 results in a few shifts in disease groupings. For example, there is nearly a 10% decrease in deaths attributable to congenital anomalies if ICD-10 is used rather than ICD-9, in large part because of a shift of hypoplasia and dysplasia of lung from congenital anomalies to primary atelactasis of newborn.19 Correspondingly, the decrease in congenital anomalies may appear greater than it truly is, but this finding would likely occur in all infant groups under study. Third, the quality of gestational age data on birth certificates in the United States has been studied extensively,3233 and studies have found that reporting of gestational age is oftentimes incomplete and inaccurate, especially when the infants are preterm. We attempted to address this issue by excluding cases where gestational age and birthweight were inconsistent, employing methods that have been widely used.16 Last, we should point out that the birthweight-specific infant mortality rates in this paper were standardized by gestational age using the 19982000 gestational age distribution for all births in the United States, and were not adjusted to control for differences in maternal characteristics and risk factors between AIAN and White infants.
We found a significant reduction in infant mortality rates, neonatal mortality rates, and postneonatal mortality rates among AIAN infants during the past decade. Although these achievements are commendable, we need to strengthen efforts to reduce racial disparities in infant mortality among American Indians/ Alaska Natives. Public health professionals should continue to monitor changes in infant mortality in the United States and strive to find additional risk factors for infant death that are preventable. Potentially preventable causes of infant mortality, such as accidents and pneumonia and influenza, should be addressed to reduce infant mortality. Organizations and agencies need to work with AIAN communities to design and implement integrated, culturally sensitive interventions to address the multiple risk factors for infant death and target those at greatest risk of death.
| Acknowledgments |
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Human Participation Protection
No protocol approval was needed for this study; the data are publicly available and do not contain personal identifiers.
| Footnotes |
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Contributors
K.M. Tomashek designed the study and supervised all aspects of its implementation, conducted the analysis, and wrote the article. C. Qin assisted with the analysis and writing. J. Hsia assisted with the study design and analysis. S. Iyasu and W.D. Barfield assisted with study design and reviewed the article. L.M. Flowers contributed to the analysis. All authors helped to conceptualize ideas, interpret findings, and review the article.
Accepted for publication September 19, 2005.
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