Objectives. To assess race/ethnicity-specific associations between breastfeeding information sources and breastfeeding initiation and duration. Methods. We used data from the 2016–2019 Pregnancy Risk Assessment Monitoring System. Race/ethnicity-stratified multinomial logistic regression was used to estimate associations between information source (e.g., family/friends) and breastfeeding rates (0 weeks/none, < 10 weeks, or ≥ 10 weeks). All analyses were weighted to be nationally representative. Results. Among 5,945,018 women (weighted), 88% reported initiating breastfeeding (≥ 10 weeks = 70%). Information from family/friends (< 10 weeks: aORs = 1.58–2.14; ≥10 weeks: aORs = 1.63–2.64) and breastfeeding support groups (< 10 weeks: aORs = 1.31–1.76; ≥10 weeks: aORs = 1.42–2.77) were consistently associated with breastfeeding initiation and duration across all racial/ethnic groups; effects were consistently smaller among Alaska Native, Black, and Hispanic women (vs White women). Over half of American Indian and one-quarter of Black women reported not initiating/stopping breastfeeding due to return to school/work concerns. Conclusions. Associations between breastfeeding information source and breastfeeding rates vary across race/ethnicity. Culturally tailored breastfeeding information and support from family/friends and support groups could help reduce breastfeeding disparities. Additional measures are needed to address disparities related to concerns about return to work/school.

Background Despite evidence of the impact of breastfeeding information on breastfeeding rates, it is unknown if information sources and impact vary by race/ethnicity, thus this study assessed race/ethnicity-specific associations between breastfeeding information sources and breastfeeding. Methods We used data from the 2016–2019 Pregnancy Risk Assessment Monitoring System. Race/ethnicity-stratified multinomial logistic regression was used to estimate associations between information source (e.g., family/friends) and breastfeeding rates (0 weeks/none, < 10 weeks, or ≥ 10 weeks; < 10 weeks and ≥ 10 weeks = any breastfeeding). All analyses were weighted to be nationally representative. Results Among 5,945,018 women (weighted), 88% reported initiating breastfeeding (≥ 10 weeks = 70%). Information from family/friends (< 10 weeks: aORs = 1.58–2.14; ≥ 10 weeks: aORs = 1.63–2.64) and breastfeeding support groups (< 10 weeks: aORs = 1.31–1.76; ≥ 10 weeks: aORs = 1.42–2.77) were consistently associated with breastfeeding and duration across most racial/ethnic groups; effects were consistently smaller among Alaska Native, Black, and Hispanic women (vs White women). Over half of American Indian and one-quarter of Black women reported not breastfeeding/stopping breastfeeding due to return to school/work concerns. Conclusions Associations between breastfeeding information source and breastfeeding rates vary across race/ethnicity. Culturally tailored breastfeeding information and support from family/friends and support groups could help reduce breastfeeding disparities. Additional measures are needed to address disparities related to concerns about return to work/school.

Background The CDC recently reported that firearm homicide rates in the United States increased in 2020, particularly among Black/African American individuals and men 25–44 years old. It is unclear whether firearm hospitalizations also increased, and more importantly, what impact the COVID-19 pandemic and COVID-related policies had. Using the North Carolina Trauma Registry, a statewide registry of trauma admissions to eighteen North Carolina hospitals, we calculated weekly GSW hospitalization rates from 1/2019 to 12/2020, overall and stratified by race-ethnicity, age, and sex. Interrupted time-series design and segmented linear regression were used to estimate changes in weekly hospitalization rates over time after (1) U.S. declaration of a public health emergency; (2) statewide Stay-at-Home order; (3) Stay-at-Home order lifted with restrictions (Phase 2: Safer-at-Home); and (4) further lifting of restrictions (Phase 2.5: Safer-at-Home). Non-GSW assault hospitalizations were used as a control to assess whether trends were observed across all assault hospitalizations or if effects were specific to gun violence. Findings Overall, 47.3% (n = 3223) of assault hospitalizations were GSW. Among GSW hospitalizations, median age was 27 years old (interquartile range [IQR] 21–25), 86.2% were male, and 49.5% occurred after the U.S. declared a public health emergency. After the Stay-at-Home order was implemented, weekly GSW hospitalization rates began increasing substantially among Black/African American residents (weekly trend change = 0.775, 95% CI = 0.254 to 1.296), peaking at an average 15.6 hospitalizations per 1,000,000 residents. Weekly hospitalization rates declined after restrictions were lifted but remained elevated compared to pre-COVID levels in this group (average weekly rate 10.6 per 1,000,000 at the end of 2020 vs. 8.9 per 1,000,000 pre-pandemic). The Stay-at-Home order was also associated with increasing GSW hospitalization rates among males 25–44 years old (weekly trend change = 1.202, 95% CI = 0.631 to 1.773); rates also remained elevated among 25–44-year-old males after restrictions were lifted in 2020 (average weekly rate 10.1 vs. 7.9 per 1,000,000). Non-GSW hospitalization rates were relatively stable in 2020. Conclusions The COVID-19 pandemic and statewide Stay-at-Home orders appeared to have placed Black/African American residents and men ages 25–44 at higher risk for GSW hospitalizations, exacerbating pre-existing disparities. Persistent gun violence disparities must be addressed.

Background To combat the coronavirus pandemic, states implemented several public health policies to reduce infection and transmission. Increasing evidence suggests that these prevention strategies also have had a profound impact on non-COVID healthcare utilization. The goal of this study was to determine the impact of a statewide Stay-at-Home order and other COVID-related policies on trauma hospitalizations, stratified by race/ethnicity, age, and sex. Methods We used the North Carolina Trauma Registry, a statewide registry of trauma hospitalizations for 18 hospitals across North Carolina, including all North Carolina trauma centers, to calculate weekly rates of assault, self-inflicted, unintentional motor vehicle collision (MVC), and other unintentional injury hospitalizations between January 1, 2019, and December 31, 2020. Interrupted time-series design and segmented linear regression were used to estimate changes in hospitalization rates after several COVID-related executive orders, overall and stratified by race/ethnicity, age, and sex. Changes in hospitalization rates were assessed after 1) USA declaration of a public health emergency; 2) North Carolina statewide Stay-at-Home order; 3) Stay-at-Home order lifted with restrictions (Phase 2: Safer-at-Home); and 4) further lifting of restrictions (Phase 2.5: Safer-at-Home). Results There were 70,478 trauma hospitalizations in North Carolina, 2019–2020. In 2020, median age was 53 years old and 59% were male. Assault hospitalization rates (per 1,000,000 NC residents) increased after the Stay-at-Home order, but substantial increases were only observed among Black/African American residents (weekly trend change = 1.147, 95% CI = 0.634 to 1.662) and 18–44-year-old males (weekly trend change = 1.708, 95% CI = 0.870 to 2.545). After major restrictions were lifted, assault rates decreased but remained elevated compared to pre-COVID levels. Unintentional non-MVC injury hospitalizations decreased after the USA declared a public health emergency, especially among women ≥ 65 years old (weekly trend change = -4.010, 95% CI = -6.166 to -1.855), but returned to pre-pandemic levels within several months. Conclusions Statewide Stay-at-Home orders placed Black/African American residents at higher risk of assault hospitalizations, exacerbating pre-existing disparities. Males 18–44 years old were also at higher risk of assault hospitalization. Fear of COVID-19 may have led to decreases in unintentional non-MVC hospitalization rates, particularly among older females. Policy makers must anticipate policy-related harms that may disproportionately affect already disadvantaged communities and develop mitigation approaches.