William M. Sappenfield

Chronic childhood disorders: prevalence and impact.

The authors review what is currently known about the prevalence of a wide variety of chronic disorders in childhood, with an emphasis upon significant recent areas of change and the implications of these changes.

Association of maternal body mass index, excessive weight gain, and gestational diabetes mellitus with large-for-gestational-age births.

OBJECTIVE: To estimate the percentage of large-for-gestational age (LGA) neonates associated with maternal overweight and obesity, excessive gestational weight gain, and gestational diabetes mellitus (GDM)—both individually and in combination—by race or ethnicity. METHODS: We analyzed 2004–2008 linked birth certificate and maternal hospital discharge data of live, singleton deliveries in Florida. We used multivariable logistic regression to assess the independent contributions of mothers prepregnancy body mass index (BMI), gestational weight gain, and GDM status on LGA (birth weight-for-gestational age 90th percentile or greater) risk by race and ethnicity while controlling for maternal age, nativity, and parity. We then calculated the adjusted population-attributable fraction of LGA neonates to each of these exposures. RESULTS: Large-for-gestational age prevalence was 5.7% among normal-weight women with adequate gestational weight gain and no GDM and 12.6%, 13.5% and 17.3% among women with BMIs of 25 or higher, excess gestational weight gain, and GDM, respectively. A reduction ranging between 46.8% in Asian and Pacific Islanders and 61.0% in non-Hispanic black women in LGA prevalence might result if women had none of the three exposures. For all race or ethnic groups, GDM contributed the least (2.0–8.0%), whereas excessive gestational weight gain contributed the most (33.3–37.7%) to LGA. CONCLUSION: Overweight and obesity, excessive gestational weight gain, and GDM all are associated with LGA; however, preventing excessive gestational weight gain has the greatest potential to reduce LGA risk. LEVEL OF EVIDENCE: III

Neonatal mortality for very low birth weight deliveries in South Carolina by level of hospital perinatal service

OBJECTIVE The purpose of this study was to determine whether neonatal mortality rates for very low birth weight (500 to 1499 g) infants born in South Carolina differ by level of perinatal services available at the hospital of birth. STUDY DESIGN Linked live birth certificates and infant death certificates for 1993 through 1995 were used. Birth weight-specific neonatal mortality rates among 2375 very low birth weight infants were estimated and analyzed by race and by level of perinatal services at the hospital of birth. Rates were compared with chi2 analysis. RESULTS Seventy-eight percent of very low birth weight deliveries occurred in level III hospitals. The overall neonatal mortality rate was 178 deaths/1000 very low birth weight live births. Neonatal mortality rates, adjusted for birth weight and race, were significantly higher (P < .05) for infants born in level I hospitals (267 deaths/1000 live births), all level II hospitals (232 deaths/1000 live births), and level II hospitals with neonatologists (213 deaths/1000 live births) than for infants born in level III centers (146 deaths/1000 live births). CONCLUSION Very low birth weight infants are more likely to survive if born in level III hospitals than in level I or II facilities, with or without neonatologists. Obstetric providers should support public health efforts and perinatal health systems to ensure that all women have access to a strong system of risk-appropriate perinatal care.

A multistate quality improvement program to decrease elective deliveries before 39 weeks of gestation.

OBJECTIVE: Nonmedically indicated (elective) deliveries before 39 weeks of gestation result in unnecessary neonatal morbidity. We sought to determine whether implementation of a process improvement program will decrease the rate of elective scheduled singleton early-term deliveries (37 0/7–38 6/7 weeks of gestation) in a group of diverse community and academic hospitals. METHODS: Policies and procedures for scheduling inductions and cesarean deliveries were implemented and patient and health care provider education was provided. Outcomes for scheduled singleton deliveries at 34 weeks of gestation or higher were submitted through a web-based data entry system. The rate of scheduled singleton elective early-term deliveries as well as the rates of early-term medically indicated and unscheduled deliveries, neonatal intensive care unit admissions, and singleton term fetal mortality rate were evaluated. RESULTS: A total of 29,030 scheduled singletons at 34 weeks of gestation or higher were delivered in 26 participating hospitals between January 2011 and December 2011. Elective scheduled early-term deliveries decreased from 27.8% in the first month to 4.8% in the 12th month (P<.001); rates of elective scheduled singleton early-term inductions (72%, P=.029) and cesarean deliveries (84%; P<.001) decreased significantly. There was no change in medically indicated or unscheduled early-term deliveries. Neonatal intensive care unit admissions among scheduled early-term singletons decreased nonsignificantly from 1.5% to 1.2% (P=.24). There was no increase in the term fetal mortality rate. CONCLUSION: A rapid-cycle process improvement program substantially decreased elective scheduled early-term deliveries to less than 5% in a group of diverse hospitals across multiple states. LEVEL OF EVIDENCE: III

The Impact of the Availability of School Vending Machines on Eating Behavior during Lunch: The Youth Physical Activity and Nutrition Survey

Childhood obesity is a major public health concern and is associated with substantial morbidities. Access to less-healthy foods might facilitate dietary behaviors that contribute to obesity. However, less-healthy foods are usually available in school vending machines. This cross-sectional study examined the prevalence of students buying snacks or beverages from school vending machines instead of buying school lunch and predictors of this behavior. Analyses were based on the 2003 Florida Youth Physical Activity and Nutrition Survey using a representative sample of 4,322 students in grades six through eight in 73 Florida public middle schools. Analyses included χ2 tests and logistic regression. The outcome measure was buying a snack or beverage from vending machines 2 or more days during the previous 5 days instead of buying lunch. The survey response rate was 72%. Eighteen percent of respondents reported purchasing a snack or beverage from a vending machine 2 or more days during the previous 5 school days instead of buying school lunch. Although healthier options were available, the most commonly purchased vending machine items were chips, pretzels/crackers, candy bars, soda, and sport drinks. More students chose snacks or beverages instead of lunch in schools where beverage vending machines were also available than did students in schools where beverage vending machines were unavailable: 19% and 7%, respectively (P≤0.05). The strongest risk factor for buying snacks or beverages from vending machines instead of buying school lunch was availability of beverage vending machines in schools (adjusted odds ratio=3.5; 95% confidence interval, 2.2 to 5.7). Other statistically significant risk factors were smoking, non-Hispanic black race/ethnicity, Hispanic ethnicity, and older age. Although healthier choices were available, the most common choices were the less-healthy foods. Schools should consider developing policies to reduce the availability of less-healthy choices in vending machines and to reduce access to beverage vending machines.

Perinatal Periods of Risk: A Community Approach for Using Data to Improve Women and Infants’ Health

This paper provides an overview of the origins, purpose, and methods of the Perinatal Periods of Risk (PPOR) approach to community-based planning for action to improve maternal and infant health outcomes. PPOR includes a new analytic framework that enables urban communities to better understand and address fetal and infant mortality. This article serves as the core reference for accompanying specific PPOR methods and practice articles. PPOR is based on core principles of full community engagement and equity and follows a six stage community-based planning process. In Stage 1, communities are mobilized and engaged, related planning efforts aligned, and community and analytic readiness assessed. In Stage 2, feto-infant mortality is mapped, excess mortality is estimated, likely causes of feto-infant mortality are determined, and appropriate actions are suggested. Stage 3 produces action plans for targeted prevention strategies. Stages 4 and 5 include implementation, monitoring, and evaluation. Stage 6 fosters political will to sustain efforts. PPOR can be used in local maternal child health (MCH) practice for improving perinatal outcomes. MCH programs can use PPOR to integrate health assessments, initiate planning, identify significant gaps, target more in-depth inquiry, and suggest clear interventions for lowering feto-infant mortality. PPOR enables greater cooperation in improving MCH through more effective data use, strengthened data capacity, and greater shared understanding of complex infant mortality issues. PPOR offers local health departments and their community partners a comprehensive approach to address the health of women and infants in their jurisdictions.

Perinatal Periods of Risk: Phase 2 Analytic Methods for Further Investigating Feto-Infant Mortality

The perinatal periods of risk (PPOR) methods provide a framework and tools to guide large urban communities in investigating their feto-infant mortality problem. The PPOR methods have 11 defined steps divided into three analytic parts: (1) Analytic Preparation; (2) Phase 1 Analysis—identifying the opportunity gaps or populations and risk periods with largest excess mortality; and (3) Phase 2 Analyses—investigating these opportunity gaps. This article focuses on the Phase 2 analytic methods, which systematically investigate the opportunity gaps to discover which risk and preventive factors are likely to have the largest effect on improving a community’s feto-infant mortality rate and to provide additional information to better direct community prevention planning. This article describes the last three PPOR epidemiologic steps for investigating identified opportunity gaps: identifying the mechanism for excess mortality; estimating the prevalence of risk and preventive factors; and estimating the impact of these factors. While the three steps provide a common strategy, the specific analytic details are tailored for each of the four perinatal risk periods. This article describes the importance, prerequisites, alternative approaches, and challenges of the Phase 2 methods. Community examples of the methods also are provided.

Obesity, Assisted Reproductive Technology, and Early Preterm Birth—Florida, 2004–2006

Florida resident birth certificates for 2004-2006 were linked to the Centers for Disease Control and Preventions National ART Surveillance System and were used to investigate 1) whether the association of assisted reproductive technology (ART) with preterm birth varies by prepregnancy body mass index and 2) whether the association varies by plurality. Preterm birth was defined as early preterm birth (gestation <34 weeks) and late preterm birth (gestation 34-36 weeks). Descriptive statistics and multinomial logistic regression were used to explore maternal and infant differences by ART status and plurality. Of 581,403 women included in the study, 24.0% were overweight, 18.6% were obese, 7.3% had late preterm birth, 2.6% had early preterm birth, and 0.67% conceived through ART. Among singleton births, ART was associated with increased early preterm birth risk among underweight (odds ratio (OR) = 2.94, 95% confidence interval (CI): 1.27, 6.81), overweight (OR = 1.75, 95% CI: 1.12, 2.72), and obese (OR = 2.37, 95% CI: 1.51, 3.71) women. Among twins, ART was significantly associated with increased risk among overweight (OR = 1.61, 95% CI: 1.12, 2.32) and obese (OR = 1.85, 95% CI: 1.18, 2.90) women. Differences in the associations between ART and early preterm birth by body mass index and plurality warrant further investigation.

Perinatal Periods of Risk: Analytic Preparation and Phase 1 Analytic Methods for Investigating Feto-Infant Mortality

The Perinatal Periods of Risk (PPOR) methods provide the necessary framework and tools for large urban communities to investigate feto-infant mortality problems. Adapted from the Periods of Risk model developed by Dr. Brian McCarthy, the six-stage PPOR approach includes epidemiologic methods to be used in conjunction with community planning processes. Stage 2 of the PPOR approach has three major analytic parts: Analytic Preparation, which involves acquiring, preparing, and assessing vital records files; Phase 1 Analysis, which identifies local opportunity gaps; and Phase 2 Analyses, which investigate the opportunity gaps to determine likely causes of feto-infant mortality and to suggest appropriate actions. This article describes the first two analytic parts of PPOR, including methods, innovative aspects, rationale, limitations, and a community example. In Analytic Preparation, study files are acquired and prepared and data quality is assessed. In Phase 1 Analysis, feto-infant mortality is estimated for four distinct perinatal risk periods defined by both birthweight and age at death. These mutually exclusive risk periods are labeled Maternal Health and Prematurity, Maternal Care, Newborn Care, and Infant Health to suggest primary areas of prevention. Disparities within the study community are identified by comparing geographic areas, subpopulations, and time periods. Excess mortality numbers and rates are estimated by comparing the study population to an optimal reference population. This excess mortality is described as the opportunity gap because it indicates where communities have the potential to make improvement.

Contributors to excess infant mortality in the U.S. South.

BACKGROUND Infant mortality rates (IMRs) are disproportionally high in the U.S. South; however, the proximate contributors that could inform regional action remain unclear. PURPOSE To quantify the components of excess infant mortality in the U.S. South by maternal race/ethnicity, underlying cause of death, and gestational age. METHODS U.S. Period Linked Birth/Infant Death Data Files 2007-2009 (analyzed in 2013) were used to compare IMRs between the South (U.S. Public Health Regions IV and VI) and all other regions combined. RESULTS Compared to other regions, there were 1.18 excess infant deaths per 1000 live births in the South, representing about 1600 excess infant deaths annually. New Mexico and Texas did not have elevated IMRs relative to other regions; excess death rates among other states ranged from 0.62 per 1000 in Kentucky to 3.82 per 1000 in Mississippi. Racial/ethnic compositional differences, generally the greater proportion of non-Hispanic black births in the South, explained 59% of the overall regional difference; the remainder was mostly explained by higher IMRs among non-Hispanic whites. The leading causes of excess Southern infant mortality were sudden unexpected infant death (SUID; 36%, range=12% in Florida to 90% in Kentucky) and preterm-related death (22%, range= -71% in Kentucky to 51% in North Carolina). Higher rates of preterm birth, predominantly <34 weeks, accounted for most of the preterm contribution. CONCLUSIONS To reduce excess Southern infant mortality, comprehensive strategies addressing SUID and preterm birth prevention for both non-Hispanic black and white births are needed, with state-level findings used to tailor state-specific efforts.