Ground beef is a common source of US Salmonella illnesses and outbreaks. However, the demographic and socioeconomic factors that are related to risk in ground beef-associated outbreaks of Salmonella infections are poorly understood. We describe the individual-level demographic characteristics and county-level indicators of social vulnerability for people infected with Salmonella linked to outbreaks associated with ground beef in the United States during 2012-2018. Non-Hispanic (NH) White and NH American Indian/Alaska Native persons, and people living in non-metropolitan areas, were overrepresented among people in salmonellosis outbreaks linked to ground beef. Case patients disproportionately resided in counties with high social vulnerability, suggesting that one or more community social risk factors may contribute to or be associated with some food safety risks. Collecting and analyzing socioeconomic and demographic characteristics of people in outbreaks can help identify disparities in foodborne disease, which can be further characterized and inform equity-focused interventions.

Social media has become a pervasive presence in everyday life, including among youths. In 2023, for the first time, CDC's nationally representative Youth Risk Behavior Survey included an item assessing U.S. high school students' frequency of social media use. Data from this survey were used to estimate the prevalence of frequent social media use (i.e., used social media at least several times a day) among high school students and associations between frequent social media use and experiences with bullying victimization, persistent feelings of sadness or hopelessness, and suicide risk. All prevalence estimates and measures of association used Taylor series linearization. Prevalence ratios were calculated using logistic regression with predicted marginals. Overall, 77.0% of students reported frequent social media use, with observed differences by sex, sexual identity, and racial and ethnic identity. Frequent social media use was associated with a higher prevalence of bullying victimization at school and electronically, persistent feelings of sadness or hopelessness, and some suicide risk among students (considering attempting suicide and having made a suicide plan), both overall and in stratified models. This analysis characterizes the potential harms of frequent social media use for adolescent health among a nationally representative sample of U.S. high school students. Findings might support multisectoral efforts to create safer digital environments for youths, including decision-making about social media policies, practices, and protections.

Technology-facilitated child sexual abuse (TF-CSA), or child sexual abuse that occurs online or through electronic communication, is a preventable public health problem that can be addressed within youth-serving organizations (YSOs). This study is a review of a purposive sample of organizational policies and practices designed to prevent TF-CSA collected from 13 national and local YSOs in the United States. Documents were coded to identify practices to prevent TF-CSA related to YSO activities or YSO staff, volunteers, or participants. Qualitative analysis indicated that YSOs included seven common practices to prevent TF-CSA in their documents. These practices included transparent electronic communication between youth and YSO staff; codes of conduct and online behavior agreements related to youth; monitoring the YSO's online presence; parental controls for youth online activity; safety behaviors for online activity for staff, parents, and youth; parent and youth trainings for youth online engagement and prevention of TF-CSA; and practices to address staff policy violations. Most prevention practices documented by YSOs identified in this study are consistent with emerging literature on TF-CSA prevention. Key gaps include protections for youth from groups inequitably burdened by TF-CSA and evaluation of the implementation and effectiveness of practices in preventing TF-CSA across settings and populations.

Overall, the percentage of US adults who met the aerobic physical activity guideline1,I was 51.3% in 2011 and 51.3% in 2019 (P = .876).II In 2011, the prevalence of meeting the aerobic guideline was <45% in 7 jurisdictions, 45% to <50% in 16 jurisdictions, 50% to <55% in 16 jurisdictions, and ≥55% in 14 jurisdictions. In 2019, the prevalence of meeting the aerobic guideline was <45% in 4 jurisdictions, 45% to <50% in 17 jurisdictions, 50% to <55% in 16 jurisdictions, and ≥55% in 15 jurisdictions. Between 2011 and 2019, the prevalence significantly decreased in 12 jurisdictions (CA, CO, HI, KY, ME, MA, MO, OH, OK, OR, VA, PR), significantly increased in 11 jurisdictions (AL, KS, LA, MD, MN, MT, NC, TN, VT, WA, WV), and did not significantly change in 29 jurisdictions.III The absolute change in prevalence ranged from an 11.0 percentage point decrease in Kentucky to an 8.6 percentage point increase in Tennessee.

Compared with other age groups, older adults (defined here as persons aged ≥65 years) are at higher risk for COVID-19-associated morbidity and mortality and have therefore been prioritized for COVID-19 vaccination (1,2). Ensuring access to vaccines for older adults has been a focus of federal, state, and local response efforts, and CDC has been monitoring vaccination coverage to identify and address disparities among subpopulations of older adults (2). Vaccine administration data submitted to CDC were analyzed to determine the prevalence of COVID-19 vaccination initiation among adults aged ≥65 years by demographic characteristics and overall. Characteristics of counties with low vaccination initiation rates were quantified using indicators of social vulnerability data from the 2019 American Community Survey.* During December 14, 2020-April 10, 2021, nationwide, a total of 42,736,710 (79.1%) older adults had initiated vaccination. The initiation rate was higher among men than among women and varied by state. On average, counties with low vaccination initiation rates (<50% of older adults having received at least 1 vaccine dose), compared with those with high rates (≥75%), had higher percentages of older adults without a computer, living in poverty, without Internet access, and living alone. CDC, state, and local jurisdictions in partnerships with communities should continue to identify and implement strategies to improve access to COVID-19 vaccination for older adults, such as assistance with scheduling vaccination appointments and transportation to vaccination sites, or vaccination at home if needed for persons who are homebound.(†) Monitoring demographic and social factors affecting COVID-19 vaccine access for older adults and prioritizing efforts to ensure equitable access to COVID-19 vaccine are needed to ensure high coverage among this group.

Background: Ensuring the quality of anthropometry data is paramount for getting accurate estimates of malnutrition prevalence among children aged 6–59 months in humanitarian and refugee settings. Previous reports based on data from Demographic and Health Surveys suggested systematic differences in anthropometric data quality between the younger and older groups of preschool children. Methods: We analyzed 712 anthropometric population-representative field surveys from humanitarian and refugee settings conducted during 2011–2018. We examined and compared the quality of five anthropometric indicators in children aged 6–23 months and children aged 24–59 months: weight for height, weight for age, height for age, body mass index for age and mid-upper arm circumference (MUAC) for age. Using the z-score distribution of each indicator, we calculated the following parameters: standard deviation (SD), percentage of outliers, and measures of distribution normality. We also examined and compared the quality of height, weight, MUAC and age measurements using missing data and rounding criteria. Results: Both SD and percentage of flags were significantly smaller on average in older than in younger age group for all five anthropometric indicators. Differences in SD between age groups did not change meaningfully depending on overall survey quality or on the quality of age ascertainment. Over 50% of surveys overall did not deviate significantly from normality. The percentage of non-normal surveys was higher in older than in the younger age groups. Digit preference score for weight, height and MUAC was slightly higher in younger age group, and for age slightly higher in the older age group. Children with reported exact date of birth (DOB) had much lower digit preference for age than those without exact DOB. SD, percentage flags and digit preference scores were positively correlated between the two age groups at the survey level, such as those surveys showing higher anthropometry data quality in younger age group also tended to show higher quality in older age group. Conclusions: There should be an emphasis on increased rigor of training survey measurers in taking anthropometric measurements in the youngest children. Standardization test, a mandatory component of the pre-survey measurer training and evaluation, of 10 children should include at least 4–5 children below 2 years of age.