Associations between neighborhood characteristics and child well-being before and during the COVID-19 pandemic: A repeated cross-sectional study in the Environmental influences on Child Health Outcomes (ECHO) program.

The corona virus disease (COVID-19) pandemic disrupted daily life worldwide, and its impact on child well-being remains a major concern. Neighborhood characteristics affect child well-being, but how these associations were affected by the pandemic is not well understood. We analyzed data from 1039 children enrolled in the Environmental influences on Child Health Outcomes Program whose well-being was assessed using the Patient-Reported Outcomes Measurement Information System Global Health questionnaire and linked these data to American Community Survey (ACS) data to evaluate the impacts of neighborhood characteristics on child well-being before and during the pandemic. We estimated the associations between more than 400 ACS variables and child well-being t-scores stratified by race/ethnicity (non-Hispanic white vs. all other races and ethnicities) and the timing of outcome data assessment (pre-vs. during the pandemic). Network graphs were used to visualize the associations between ACS variables and child well-being t-scores. The number of ACS variables associated with well-being t-scores decreased during the pandemic period. Comparing non-Hispanic white with other racial/ethnic groups during the pandemic, different ACS variables were associated with child well-being. Multiple ACS variables representing census tract-level housing conditions and neighborhood racial composition were associated with lower well-being t-scores among non-Hispanic white children during the pandemic, while higher percentage of Hispanic residents and higher percentage of adults working as essential workers in census tracts were associated with lower well-being t-scores among non-white children during the same study period. Our study provides insights into the associations between neighborhood characteristics and child well-being, and how the COVID-19 pandemic affected this relationship.

Trends in cocaine use among United States females of reproductive age, 2005-2019.

BACKGROUND AND OBJECTIVES: The prevalence of cocaine use has increased in the United States, with an estimated 5.5 million people have used it at least once in 2019. We report trends in cocaine use for reproductive age females who participated in the National Survey on Drug Use and Health (NSDUH, 2005-2019). METHODS: Interviewers for NSDUH recruited and assessed a representative sample of the US noninstitutionalized population. The prevalence of cocaine use was estimated annually for females (15-44 years; n = 295,751). Joinpoint regression was then used to test for significant changes in trends. RESULTS: Approximately 2.4% of females (n = 8136) reported past 12-month cocaine use. Joinpoint regression revealed an initial decline in cocaine use prevalence between 2005 and 2011, followed by a robust increase (2011-2019 annual percent change = 5.2; 95% confidence interval = 2.6, 7.8%). This nonlinear trend was observed for all subgroups, except for adolescent and pregnant females for whom a decrease in cocaine use prevalence was observed. DISCUSSION AND CONCLUSIONS: Although the prevalence of cocaine use remains scarce among US females, the uptake in use after a period of initial decline is concerning, highlighting the need for continued public health awareness and action. SCIENTIFIC SIGNIFICANCE: Cocaine use among females of reproductive age is particularly concerning given the increased likelihood of transitioning to disordered use and the risk of use during pregnancy. Previous studies have not reported cocaine use estimates specific to reproductive age females or only reported co-drug use patterns, without detail of specific cocaine use trends.

Maternal Pre-Pregnancy BMI, Breastfeeding, and Child BMI.

OBJECTIVES: Breastfeeding practices may protect against offspring obesity, but this relationship is understudied among women with obesity. We describe the associations between breastfeeding practices and child BMI for age z-score (BMIz), stratified by maternal BMI. METHODS: We analyzed 8134 dyads from 21 cohorts in the Environmental Influences on Child Health Outcomes Program. Dyads with data for maternal pre-pregnancy BMI, infant feeding practices, and ≥1 child BMI assessment between the ages of 2 and 6 years were included. The associations between breastfeeding practices and continuous child BMIz were assessed by using multivariable linear mixed models. RESULTS: Maternal pre-pregnancy BMI category prevalence was underweight: 2.5%, healthy weight: 45.8%, overweight: 26.0%, and obese: 25.6%. Median child ages at the cessation of any breastfeeding and exclusive breastfeeding across the 4 BMI categories were 19, 26, 24, and 17 weeks and 12, 20, 17, and 12 weeks, respectively. Results were in the hypothesized directions for BMI categories. Three months of any breastfeeding was associated with a lower BMIz among children whose mothers were a healthy weight (-0.02 [-0.04 to 0.001], P = .06), overweight (-0.04 [-0.07 to -0.004], P = .03), or obese (-0.04 [-0.07 to -0.006], P = .02). Three months of exclusive breastfeeding was associated with a lower BMIz among children whose mothers were a healthy weight (-0.06 [-0.10 to -0.02], P = .002), overweight (-0.05 [-0.10 to 0.005], P = .07), or obese (-0.08 [-0.12 to -0.03], P = .001). CONCLUSIONS: Human milk exposure, regardless of maternal BMI category, was associated with a lower child BMIz in the Environmental Influences on Child Health Outcomes cohorts, supporting breastfeeding recommendations as a potential strategy for decreasing the risk of offspring obesity.

Understanding the Impact of Perceived Social Support for Breastfeeding Among African American Women: Results From the Mama Bear Feasibility Trial.

PURPOSE: Perceived Social Support (PSS) can impact breastfeeding behaviors, and a lack of PSS potentially contributes to disparities in breastfeeding rates for African American women (AA). Objectives were to describe PSS at two timepoints and test associations between PSS and breastfeeding intensity for AA. METHODS: Data are from a feasibility trial of breastfeeding support among AA. The Hughes Breastfeeding Support Scale was used to measure PSS (Emotional, Informational, Tangible; total range = 30-120) in pregnancy (T1, n = 32) and early postpartum (T2, n = 31). Scale means were compared with t-tests. Associations between PSS at T1 and breastfeeding intensity (ie, quantitative measure of breastfeeding) were assessed with linear regression. RESULTS: Total PSS (mean ± SE) was high at both time points (T1 = 90.5 ± 4.8; T2 = 92.8 ± 3.1). At T2, older participants or those living with a partner had higher total PSS scores compared to those younger or living alone. Emotional PSS was significantly higher at T2 than T1 with no differences in tangible or informational PSS over time. Mixed-feeding, exclusive breastfeeding, and exclusive formula feeding was distributed at 39%, 32%, and 29%, respectively. Total PSS was not associated with breastfeeding intensity. CONCLUSION: Women reported high levels of social support, and emotional PSS increased over time in this small sample of AA. PSS and sources of PSS are understudied, especially among AA, and future studies should explore quantitative methods to assess PSS. The results of such assessments can then be used to design breastfeeding support interventions.

Breastfeeding Self-Efficacy as a Predictor of Breastfeeding Intensity Among African American Women in the Mama Bear Feasibility Trial.

Background: Improving breastfeeding rates among African American (AA) families is an important public health goal. Breastfeeding self-efficacy, a known predictor of breastfeeding behavior, has seldom been assessed among AAs, in relation to breastfeeding intensity (% breastfeeding relative to total feeding) or as a protective factor in combating the historical breastfeeding challenges faced by people of color. We aimed to test the association between breastfeeding self-efficacy assessed during pregnancy and breastfeeding intensity assessed in the early postpartum period. Methods: This was a secondary data analysis of a randomized controlled feasibility trial of breastfeeding support and postpartum weight management. AA women were recruited during pregnancy from a prenatal clinic in Detroit, MI. Data presented, in this study, were collected at enrollment (n = 50) and ∼6 weeks postpartum (n = 31). Linear regression models were used, adjusting for potential confounders. Results: There were no differences in breastfeeding intensity by study arm; data are from all women with complete data on targeted variables. Age ranged from 18 to 43 years, 52% were Women, Infant's, and Children program enrollees, and 62% had ≥ some college. Breastfeeding self-efficacy during pregnancy was a significant predictor of breastfeeding intensity in the early postpartum period (ß = 0.125, p < 0.05) with only slight attenuation in the fully adjusted model (ß = 0.123, p < 0.05). Implications for Practice: Our results confirm that self-efficacy is an important predictor of breastfeeding practice. Furthermore, the simple act of assessing breastfeeding self-efficacy permits an opportunity for women to reflect on breastfeeding possibilities, and can inform individualized confidence-building interventions to improve the disproportionately low breastfeeding rates among AAs. Clinical Trial Registration number NCT03480048.

Understanding Factors Influencing Breastfeeding Outcomes in a Sample of African American Women.

OBJECTIVES: Persistent disparities in breastfeeding rates among African American (AA) women compared to other population groups have motivated researchers to understand factors influencing breastfeeding choices using a variety of methods. Quantitative surveys are more commonly reported, however, qualitative work that amplifies voices of AA women is limited. METHODS: Participants were recruited from a randomized controlled feasibility trial focused on breastfeeding support for AA women in Detroit, MI. Thirteen women were enrolled in the qualitative portion of the study described here. Using the Socioecological model (SEM) as the theoretical foundation, semi-structured qualitative interviews were conducted to explore perceived facilitators and barriers to breastfeeding. Interviews were digitally recorded, transcribed, and analyzed using Theoretical thematic analysis. RESULTS: Women reported factors ranging from micro to macro SEM levels that discouraged or reinforced breastfeeding. Key challenges included breastfeeding-related discouragement issues, including factors that decreased confidence and led women to terminate breastfeeding (e.g., problems with latching, pumping, lack of comfort with breastfeeding in public, and work constraints). Facilitators included perceived mother and infant benefits, perseverance/commitment/self-motivation, pumping ability, and social support. Participant suggestions for expanding breastfeeding promotion and support included: (1) tangible, immediate, and proactive support; (2) positive non-judgmental support; (3) "milk supply" and "use of pump" education; and (4) self-motivation/willpower/perseverance. CONCLUSIONS FOR PRACTICE: Despite the identification of common facilitators, findings reveal AA women face many obstacles to meeting breastfeeding recommendations. Collaborative discussions between women and healthcare providers focused on suggestions provided by AA women should be encouraged.