Fine particulate matter composition in American Indian vs. Non-American Indian communities.

BACKGROUND: Fine particulate matter (PM2.5) exposure is a known risk factor for numerous adverse health outcomes, with varying estimates of component-specific effects. Populations with compromised health conditions such as diabetes can be more sensitive to the health impacts of air pollution exposure. Recent trends in PM2.5 in primarily American Indian- (AI-) populated areas examined in previous work declined more gradually compared to the declines observed in the rest of the US. To further investigate components contributing to these findings, we compared trends in concentrations of six PM2.5 components in AI- vs. non-AI-populated counties over time (2000-2017) in the contiguous US. METHODS: We implemented component-specific linear mixed models to estimate differences in annual county-level concentrations of sulfate, nitrate, ammonium, organic matter, black carbon, and mineral dust from well-validated surface PM2.5 models in AI- vs. non-AI-populated counties, using a multi-criteria approach to classify counties as AI- or non-AI-populated. Models adjusted for population density and median household income. We included interaction terms with calendar year to estimate whether concentration differences in AI- vs. non-AI-populated counties varied over time. RESULTS: Our final analysis included 3108 counties, with 199 (6.4%) classified as AI-populated. On average across the study period, adjusted concentrations of all six PM2.5 components in AI-populated counties were significantly lower than in non-AI-populated counties. However, component-specific levels in AI- vs. non-AI-populated counties varied over time: sulfate and ammonium levels were significantly lower in AI- vs. non-AI-populated counties before 2011 but higher after 2011 and nitrate levels were consistently lower in AI-populated counties. CONCLUSIONS: This study indicates time trend differences of specific components by AI-populated county type. Notably, decreases in sulfate and ammonium may contribute to steeper declines in total PM2.5 in non-AI vs. AI-populated counties. These findings provide potential directives for additional monitoring and regulations of key emissions sources impacting tribal lands.

Toxic metal mixtures in private well water and increased risk for preterm birth in North Carolina.

BACKGROUND: Prenatal exposure to metals in private well water may increase the risk of preterm birth (PTB) (delivery < 37 weeks' gestation). In this study, we estimated associations between arsenic, manganese, lead, cadmium, chromium, copper, and zinc concentrations in private well water and PTB incidence in North Carolina (NC). METHODS: Birth certificates from 2003-2015 (n = 1,329,071) were obtained and pregnancies were assigned exposure using the mean concentration and the percentage of tests above the maximum contaminant level (MCL) for the census tract of each individuals' residence at the time of delivery using the NCWELL database (117,960 well water tests from 1998-2019). We evaluated associations between single metals and PTB using adjusted logistic regression models. Metals mixtures were assessed using quantile-based g-computation. RESULTS: Compared with those in other census tracts, individuals residing in tracts where > 25% of tests exceeded the MCL for lead (aOR 1.10, 95%CI 1.02,1.18) or cadmium (aOR 1.11, 95% CI 1.00,1.23) had an increased odds of PTB. Conversely, those residing in areas with > 25% MCL for zinc (aOR 0.77 (95% CI: 0.56,1.02) and copper (aOR 0.53 (95% CI: 0.13,1.34)) had a reduced odds of PTB. A quartile increase in the concentrations of a mixture of lead, cadmium, and chromium was associated with a small increased odds for PTB (aOR 1.02, 95% CI 1.01, 1.03). This metal mixture effect was most pronounced among American Indian individuals (aOR per quartile increase in all metals: 1.19 (95% CI 1.06,1.34)). CONCLUSIONS: In a large study population of over one million births, lead and cadmium were found to increase the risk of PTB individually and in a mixture, with additional mixtures-related impacts estimated from co-exposure with chromium. This study highlights critical racial and ethnic health disparities in relation to private well water thereby emphasizing the urgent need for improved private well water quality to protect vulnerable populations.

Air Pollution in American Indian Versus Non-American Indian Communities, 2000-2018.

Objectives. To compare fine particulate matter (PM2.5) concentrations in American Indian (AI)-populated with those in non-AI-populated counties over time (2000-2018) in the contiguous United States. Methods. We used a multicriteria approach to classify counties as AI- or non--AI-populated. We ran linear mixed effects models to estimate the difference in countywide annual PM2.5 concentrations from well-validated prediction models and monitoring sites (modeled and measured PM2.5, respectively) in AI- versus non-AI-populated counties. Results. On average, adjusted modeled PM2.5 concentrations in AI-populated counties were 0.38 micrograms per cubic meter (95% confidence interval [CI] = 0.23, 0.54) lower than in non-AI-populated counties. However, this difference was not constant over time: in 2000, modeled concentrations in AI-populated counties were 1.46 micrograms per cubic meter (95% CI = 1.25, 1.68) lower, and by 2018, they were 0.66 micrograms per cubic meter (95% CI = 0.45, 0.87) higher. Over the study period, adjusted modeled PM2.5 mean concentrations decreased by 2.13 micrograms per cubic meter in AI-populated counties versus 4.26 micrograms per cubic meter in non-AI-populated counties. Results were similar for measured PM2.5. Conclusions. This study highlights disparities in PM2.5 trends between AI- and non-AI-populated counties over time, underscoring the need to strengthen air pollution regulations and prevention implementation in tribal territories and areas where AI populations live. (Am J Public Health. 2022;112(4): 615-623. https://doi.org/10.2105/AJPH.2021.306650).

Factor analysis of the Center for Epidemiological Studies Depression Scale in American Indian women.

The Center for Epidemiological Studies Depression Scale (CES-D) is widely used to assess depressive symptoms in the general population. It lacks validation for widespread use within the American Indian population, however. To address this gap, we explored and confirmed the factor structure of the CES-D among a community sample of southeastern American Indian women. We analyzed data from a sample of 150 American Indian women ages 18-50 from a southeastern tribe who had complete responses on the CES-D as part of a larger cross-sectional, community-engaged study. We performed exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) to assess the measure's validity. We examined EFA models ranging from one to five factors, with the four-factor structure yielding the best overall model fit (CFI = 1.00, TLI = 0.99, RMSEA = 0.03). Differences between the four-factor EFA-retained structure from our sample and Radloff's four-factor structure emerged. Only the interpersonal factor was common to both factor structures. Our study findings confirm the validity of the original four-factor structure of the CES-D for younger adult American Indian women in the southeast. Contrasting findings with the EFA-retained structure, however, provide a more nuanced interpretation of our results.

Methodological Considerations in Scale Refinement with Diverse Populations: A Case Example Using the CES-D with a Community Sample of American Indian Women.

Although many psychometric assessments are used extensively in population-based research to determine psychopathology, these tools have not been thoroughly validated or appropriately adapted for use in diverse populations. Indeed, depression measurement studies among American Indian and female populations are scarce, omitting key opportunities to tailor psychological measurement for this population. To build psychometric evidence of measures in this population, we used a procedural method to examine a standard psychological instrument-the Center for Epidemiological Studies Depression Scale (CES-D)-with a community sample of southeast American Indian women. Our results showed strong psychometric reliability of the 20-item CES-D. The "effort" item presented diminished validity, as demonstrated by a negative counter-intuitive item-to-total correlation (ITC) value. Dropping the "effort" item resulted in a 19-item scale with a better fit in the within-group examination of community-based American Indian women. Compared to the 20-item CES-D scale, the revised 19-item measure ("effort" item removed) resulted in minimal changes to women's depression categories. However, we did detect patterns in shifts such that the 19-item scale generally underestimated (i.e., placed women in a lower category) depressive symptoms compared to the 20-item scale. Depending on their study goals, researchers engaging in population-based research should carefully weigh the use of original scales that allow for consistency in reporting with refined scales that fit psychometrically. We present the outlined method as a tool that expands on current approaches in scale refinement, and aids researchers in making more informed decisions regarding refined scales with diverse populations.

Reducing Cardiovascular Disparities Through Community-Engaged Implementation Research: A National Heart, Lung, and Blood Institute Workshop Report.

Cardiovascular disparities remain pervasive in the United States. Unequal disease burden is evident among population groups based on sex, race, ethnicity, socioeconomic status, educational attainment, nativity, or geography. Despite the significant declines in cardiovascular disease mortality rates in all demographic groups during the last 50 years, large disparities remain by sex, race, ethnicity, and geography. Recent data from modeling studies, linked micromap plots, and small-area analyses also demonstrate prominent variation in cardiovascular disease mortality rates across states and counties, with an especially high disease burden in the southeastern United States and Appalachia. Despite these continued disparities, few large-scale intervention studies have been conducted in these high-burden populations to examine the feasibility of reducing or eliminating cardiovascular disparities. To address this challenge, on June 22 and 23, 2017, the National Heart, Lung, and Blood Institute convened experts from a broad range of biomedical, behavioral, environmental, implementation, and social science backgrounds to summarize the current state of knowledge of cardiovascular disease disparities and propose intervention strategies aligned with the National Heart, Lung, and Blood Institute mission. This report presents the themes, challenges, opportunities, available resources, and recommended actions discussed at the workshop.

Exploring a broader context of the home environment and its relationship with asthma control in American Indian children.

In this cross-sectional study of 60 American Indian mother-child dyads from Southeastern North Carolina, we examined whether childhood asthma control was related to household-level factors, such as environmental tobacco smoke and family management behaviors. We also examined the relationships among family management behaviors and maternal depressive symptoms. We used logistic regression to assess the relationships among childhood asthma control, the presence of environmental tobacco smoke, and family management behaviors, specifically condition management ability (CMA) and condition management effort (CME). We used linear regression to evaluate the relationships between both CMA and CME and maternal depressive symptoms. Better asthma control in children was associated with the absence of environmental tobacco smoke in the home and the maternal perception of asthma as a manageable condition. Mothers perceived an increase in effort to manage their child's asthma as their depressive symptoms increased. These findings emphasize the importance of environmental triggers, perceptions of condition management, and maternal mental health in controlling asthma in American Indian children. Interventions to reduce environmental triggers, treat maternal depressive symptoms, and support mothers in their ability to manage childhood asthma may yield better asthma control and help to reduce existing racial disparities in this population.

A community-engaged approach to investigate cardiovascular-associated inflammation among American Indian women: A research protocol.

American Indian women are more likely to die from cardiovascular disease (CVD) than White or African American women. Inflammatory processes may underlie CVD disparities by gender and race and may be critical to understanding population-specific drivers and potential buffers. Exposure to environmental air pollutants, especially particulate matter (PM), is known to be an important catalyst in CVD-associated inflammation. Positive psychological states, associated with low levels of inflammatory gene expression, could serve to moderate the inflammatory response to environmental air pollutants and ultimately lead to better cardiovascular health outcomes. The aim of the ongoing community-engaged and NIH-funded study described in this study protocol is to address the racial and gender gaps in CVD mortality by investigating the contextually relevant and culturally important determinants of health among American Indian women. In this paper we describe the procedures used to examine the relationship between environmental air pollutant exposures (PM10-2.5 and PM 2.5 ), psychological factors (e.g., depressive symptoms, posttraumatic stress symptoms, eudemonic well-being, and positive emotions), and cardiovascular-associated inflammation (hs-CRP, IL-6, Amyloid A, CBCs with differentials) in a sample of 150 women 18-50 years of age from the Lumbee Tribe in southeastern North Carolina. We describe lessons learned and strategies used in developing a community-engaged approach to enhance recruitment of American Indian women in biomedical research. The empirical data and community infrastructure resulting from this study will be foundational in designing and testing future interventions to reduce CVD-associated morbidity and mortality in American Indian women.

Birthing and Parenting a Premature Infant in a Cultural Context.

The purpose of this longitudinal qualitative descriptive study was to explore American Indian mothers' perceptions of parenting their premature infants over their first year of life in the context of their culture, including the birth and hospitalization experience. A convenience sample of 17 American Indian mothers and their premature infants were recruited from either a neonatal intensive care unit (NICU) or pediatric clinic in the southeast. Semistructured interviews were conducted at two time points. Through content analytic methods, three broad categories were revealed: descriptions of having a premature infant in the NICU, descriptions of parenting a premature infant, and the influence of Lumbee culture on parenting a premature infant. Certain aspects of American Indian culture appear to be important in having a premature infant in the NICU and in parenting a premature infant. We recommend that health care providers deliver culturally appropriate care that fully supports American Indian mothers and their premature infants.

Guidelines for research recruitment of underserved populations (EERC).

PURPOSE: Despite concerted efforts to establish health equity, significant disparities persist. One roadblock to eliminating health disparities is the inadequate recruitment of underserved populations, which prevents researchers from creating culturally-tailored interventions. To further develop the science of recruitment, we argue that a systematic approach should be applied to research participant recruitment. Given the lack of practical and comprehensive recruitment conceptual frameworks or guidelines in the literature, the authors propose newly synthesized guidelines for research recruitment of underserved populations: EERC (evaluate, engage, reflect, and carefully match). METHODS: The EERC guidelines are delineated, and the application of these guidelines is illustrated through a study recently conducted by the authors. RESULTS: The guidelines consist of the following four components: 1. Evaluate the composition of the research team; 2. Engage fully with the community by working with key informants and cultural insiders; 3. Reflect the unique cultural characteristics of the community in the research conduct; and 4. Carefully use a matching technique. The application component of the article demonstrates concrete examples of how the guidelines can enhance research recruitment for an underserved population. CONCLUSION: The authors intend these guidelines to be broadly applicable for research teams regardless of research design or characteristics of the underserved population. Application of these guidelines in nursing and health science will contribute to increasing research recruitment of underserved populations, with the goal of reducing health disparities and achieving health equity for all persons.

Maternal depressive symptoms and healthcare expenditures for publicly insured children with chronic health conditions.

This study estimated the prevalence of maternal depressive symptoms and tested associations between maternal depressive symptoms and healthcare utilization and expenditures among United States publicly insured children with chronic health conditions (CCHC). A total of 6,060 publicly insured CCHC from the 2004-2009 Medical Expenditure Panel Surveys were analyzed using negative binomial models to compare healthcare utilization for CCHC of mothers with and without depressive symptoms. Annual healthcare expenditures for both groups were compared using a two-part model with a logistic regression and generalized linear model. The prevalence of depressive symptoms among mothers with CCHC was 19 %. There were no differences in annual healthcare utilization for CCHC of mothers with and without depressive symptoms. Maternal depressive symptoms were associated with greater odds of ED expenditures [odds ratio (OR) 1.26; 95 % CI 1.03-1.54] and lesser odds of dental expenditures (OR 0.81; 95 % CI 0.66-0.98) and total expenditures (OR 0.71; 95 % CI 0.51-0.98). Children of symptomatic mothers had lower predicted outpatient expenditures and higher predicted expenditures for total health, prescription medications, dental care; and office based, inpatient and ED visits. Mothers with CCHC were more likely to report depressive symptoms than were mothers with children without chronic health conditions. There were few differences in annual healthcare utilization and expenditures between CCHC of mothers with and without depressive symptoms. However, having a mother with depressive symptoms was associated with higher ED expenditures and higher predicted healthcare expenditures in a population of children who comprise over three-fourths of the top decile of Medicaid spending.

Interactive behaviors of American Indian mothers and their premature infants.

The interactive behaviors of 17 American Indian mothers and their premature infants and selected maternal and infant factors affecting those behaviors were measured using naturalistic observation and the Home Observation for Measurement of the Environment (HOME) Inventory at 3, 6, and 12 months corrected infant age. The frequency of some maternal behaviors changed over the first 12 months. Mothers spent less time holding, looking at, touching, and interacting with their premature infants and more time uninvolved as the infant aged. Maternal education and infant illness severity were associated with mother-infant interactive behaviors and HOME Inventory scores. These findings emphasize the importance of maternal and infant factors affecting the interactions between American Indian premature infants and their mothers.

Inequalities in cesarean births between American Indian & Alaska Native people and White people.

OBJECTIVE: To explore population-level American Indian & Alaska Native-White inequalities in cesarean birth incidence after accounting for differences in cesarean indication, age, and other individual-level risk factors. DATA SOURCES AND STUDY SETTING: We used birth certificate data inclusive of all live births within the United States between January 1 and December 31, 2017. STUDY DESIGN: We calculated propensity score weights that simultaneously incorporate age, cesarean indication, and clinical and obstetric risk factors to estimate the American Indian and Alaska Native-White inequality. DATA COLLECTION/EXTRACTION METHODS: Births to individuals identified as American Indian, Alaska Native, or White, and residing in one of the 50 US states or the District of Columbia were included. Births were excluded if missing maternal race/ethnicity or any other covariate. PRINCIPAL FINDINGS: After weighing the American Indian and Alaska Native obstetric population to be comparable to the distribution of cesarean indication, age, and clinical and obstetric risk factors of the White population, the cesarean incidence among American Indian and Alaska Natives increased to 33.4% (95% CI: 32.0-34.8), 3.2 percentage points (95% CI: 1.8-4.7) higher than the observed White incidence. After adjustment, cesarean birth incidence remained higher and increased in magnitude among American Indian and Alaska Natives in Robson groups 1 (low risk, primary), 6 (nulliparous, breech presentation), and 9 (transverse/oblique lie). CONCLUSIONS: The unadjusted lower cesarean birth incidence observed among American Indian and Alaska Native individuals compared to White individuals may be related to their younger mean age at birth. After adjusting for this demographic difference, we demonstrate that American Indian and Alaska Native individuals undergo cesarean birth more frequently than White individuals with similar risk profiles, particularly within the low-risk Robson group 1 and those with non-cephalic presentations (Robson groups 6 and 9). Racism and bias in clinical decision making, structural racism, colonialism, or other unidentified factors may contribute to this inequality.

Perceptions and Behaviors Related to Contraceptive Use in the Postpartum Period Among Women With Pregestational Diabetes Mellitus.

OBJECTIVE: To describe perceptions and behaviors related to contraception and preconception care and to test the association between these perceptions and contraceptive use in the postpartum period among women with pregestational diabetes mellitus. DESIGN: Cross-sectional, descriptive survey. SETTING: Three high-risk obstetric clinics in the Southeastern United States. PARTICIPANTS: Fifty-five women who were 18 years or older with pregestational Type 1 or Type 2 diabetes mellitus. METHODS: Between 4 and 8 weeks after birth, we used investigator-developed items and psychometrically validated scales to measure participants' perceptions and behaviors related to contraception and preconception care. We dichotomized use of contraception in the postpartum period as procedure/prescription or nonprescription/no method. We used multiple logistic regression to test the hypothesis that perceptions are associated with contraceptive use. RESULTS: When data were collected 4 to 8 weeks after birth, almost half (49%, n = 27) of the participants had resumed sexual activity; however, most (95%, n = 52) did not want another pregnancy in the next 18 months. Fifty-six percent (n = 31) of participants used procedure/prescription contraception, and 44% (n = 24) used nonprescription/no method. Those who perceived contraception use and preconception care to be beneficial were more likely to use procedure/prescription contraception (adjusted odds ratio = 1.52; 95% confidence interval [1.07, 2.17]). CONCLUSION: When caring for women in the postpartum period, providers should be mindful that women's perceptions of the benefits of contraception and preconception care may have implications for whether their use aligns with their reproductive goals and optimizes outcomes for future pregnancies.

Contraceptive Use Among Women with Prediabetes and Diabetes in a US National Sample.

INTRODUCTION: Although elevated blood glucose is associated with adverse maternal and fetal health outcomes, evidence suggests that women with diabetes may not be receiving comprehensive reproductive health care, including family planning and preconception care. Using a population-based sample, we evaluated the relationship between contraceptive use and biomarker-identified diabetes. METHODS: This cross-sectional study used data from 5548 women in the nationally representative National Longitudinal Study of Adolescent to Adult Health (Add Health) from 2007 to 2009. Women were aged 24 to 32 years, sexually active with men, and not pregnant. Hemoglobin A1C identified prediabetes and diabetes from blood specimens. The primary outcome was most effective contraception used in the past year: more effective (sterilization, intrauterine device, implant, combined hormonal methods, or injectable), less effective (condoms, diaphragms, spermicides, natural family planning, or withdrawal), or none. Multinomial regression models were adjusted for race and ethnicity, education, insurance, health care access, and body mass index. RESULTS: Of the women with diabetes, 37.6% used more effective contraception, 33.6% less effective contraception, and 28.8% none. Women with diabetes had higher odds of using no contraception, rather than more effective contraception, than women with normoglycemia (adjusted odds ratio [aOR], 1.90; 95% CI, 1.25-2.87). Women with diabetes who were undiagnosed had greater odds of using less effective contraception, rather than more effective contraception, compared with those who were diagnosed (aOR 3.39; 95% CI, 1.44-7.96). Contraceptive use did not differ between women with prediabetes and normoglycemia. DISCUSSION: Less effective contraceptive methods were commonly used by women with diabetes. Midwives and other women's health care providers can support women with diabetes to reach their pregnancy goals by providing preconception care and family planning.

Racial/Ethnic Disparities in Diabetes Diagnosis and Glycemic Control Among Women of Reproductive Age.

BACKGROUND: Types 1 and 2 diabetes mellitus complicate pregnancies and threaten the health of women of reproductive age and their children. Among older adults, diabetes morbidity disproportionately burdens racial/ethnic minorities, but diabetes emergence among younger adults has not been as well characterized. The objective of this study was to describe the distribution of diagnosed diabetes, undiagnosed diabetes, suboptimal preconception glycemic control, and prediabetes among women of reproductive age across racial/ethnic backgrounds. MATERIALS AND METHODS: We analyzed data collected in 2007-2008 from 6774 nonpregnant women, ages 24-32, in the National Longitudinal Study of Adolescent to Adult Health (Add Health). Prediabetes and undiagnosed diabetes were identified by fasting glucose and glycosylated hemoglobin (A1C) and diagnosed diabetes by self-report or antihyperglycemic medication use. We used multinomial regression models to predict prediabetes or diabetes versus normoglycemia. Within women with diabetes, we used logistic regression to predict those being undiagnosed and having suboptimal preconception glycemic control based on A1C. RESULTS: The estimated prevalence of diabetes was 6.8%, of which 45.3% was undiagnosed. Diabetes prevalence varied by race/ethnicity (p < 0.001): 15.0% of non-Hispanic black women (75.6% undiagnosed), 7.5% of Hispanic women (48.1% undiagnosed), 4.8% of non-Hispanic white women (22.8% undiagnosed), and 4.5% of Asian women (11.4% undiagnosed). The prevalence of prediabetes was highest in non-Hispanic black (38.5%), followed by Hispanic (27.8%), Asian (25.1%), Native American (20.3%), and non-Hispanic white (16.6%) women. CONCLUSIONS: Racial/ethnic disparities exist among women of reproductive age with prediabetes and diabetes. Meeting their healthcare needs requires addressing health inequities and coordination of diabetes management with reproductive health.

Interactive behaviors of ethnic minority mothers and their premature infants.

OBJECTIVE: To compare the interactive behaviors of American Indian mothers and their premature infants with those of African American mothers and their premature infants. DESIGN: Descriptive, comparative study. SETTING: Three neonatal intensive care units and two pediatric clinics in the southeast. PARTICIPANTS: Seventy-seven mother/infant dyads: 17 American Indian mother/infant dyads and 60 African American mother/infant dyads. METHODS: Videotapes of mother/infant interactions and the Home Observation for Measurement of the Environment (HOME) were used to assess the interactions of the mothers and their premature infants at 6 months corrected age. RESULTS: American Indian mothers looked more, gestured more, and were more often the primary caregivers to their infants than the African American mothers. American Indian infants expressed more positive affect and gestured more to their mothers, whereas African American infants engaged in more non-negative vocalization toward their mothers. African American mothers scored higher on the HOME subscales of provision of appropriate play materials and parental involvement with the infant. American Indian mothers scored higher on the opportunities for variety in daily living subscale. CONCLUSION: Although many of the interactive behaviors of American Indian and African American mother/infant dyads were similar, some differences did occur. Clinicians need to be aware of the cultural differences in mother/infant interactions. To optimize child developmental outcomes, nurses need to support mothers in their continuation or adoption of positive interactive behaviors.

Exploring modifiable risk factors for wheezing in African American premature infants.

OBJECTIVE: To examine the degree to which obesity during infancy, consistent exposure to secondhand smoke, and parenting (positive attention, maternal involvement, and negative control) were related to early development of wheezing in a cohort of African American premature infants at 2, 6, 12, 18, and 24 months corrected age. DESIGN: Secondary analysis of a subset of variables from a larger nursing support intervention study. SETTING: Two regional perinatal centers in the southeastern United States. PARTICIPANTS: One hundred and sixty-eight African American premature infants (70 boys, 98 girls) who weighed less than 1,750 g or required mechanical ventilation and their mothers. METHODS: The presence of wheezing was obtained from maternal report at 2, 6, 12, 18, and 24 months. Infants were considered to have medically significant wheezing if they were using bronchodilators or pulmonary anti-inflammatory medications. RESULTS: The percentage of infants who had medically significant wheezing increased from 12% at 2 months to 24% at 24 months corrected age. Infants who received more positive attention from their mothers had a slightly higher increase in the probability of developing wheezing over time. Infants of mothers who received public assistance had an increased probability of wheezing. Consistent exposure to secondhand smoke, obesity during infancy, maternal negative control, and maternal involvement were not related to the development of wheezing. CONCLUSION: These findings suggest that the likelihood of developing wheezing in African American premature infants is associated with receiving more positive attention from their mothers and having mothers who receive public assistance. Because modifiable risk factors were not highly related to wheezing, intervention efforts need to focus on early identification and treatment of wheezing and asthma-related symptoms.