Traffic-related pedestrian deaths in the United States reached a 40-year high in 2021. Each year, pedestrians also suffer nonfatal traffic-related injuries requiring medical treatment. Near real-time emergency department visit data from CDC's National Syndromic Surveillance Program during January 2021-December 2023 indicated that among approximately 301 million visits identified, 137,325 involved a pedestrian injury (overall visit proportion = 45.62 per 100,000 visits). The proportions of visits for pedestrian injury were 1.53-2.47 times as high among six racial and ethnic minority groups as that among non-Hispanic White persons. Compared with persons aged ≥65 years, proportions among those aged 15-24 and 25-34 years were 2.83 and 2.61 times as high, respectively. The visit proportion was 1.93 times as high among males as among females, and 1.21 times as high during September-November as during June-August. Timely pedestrian injury data can help collaborating federal, state, and local partners rapidly monitor trends, identify disparities, and implement strategies supporting the Safe System approach, a framework for preventing traffic injuries among all road users.

BACKGROUND: Pyrazinamide is one of four first-line antibiotics used to treat tuberculosis; however, antibiotic susceptibility testing for pyrazinamide is challenging. Resistance to pyrazinamide is primarily driven by genetic variation in pncA, encoding an enzyme that converts pyrazinamide into its active form. METHODS: We curated a dataset of 664 non-redundant, missense amino acid mutations in PncA with associated high-confidence phenotypes from published studies and then trained three different machine-learning models to predict pyrazinamide resistance. All models had access to a range of protein structural-, chemical- and sequence-based features. RESULTS: The best model, a gradient-boosted decision tree, achieved a sensitivity of 80.2% and a specificity of 76.9% on the hold-out test dataset. The clinical performance of the models was then estimated by predicting the binary pyrazinamide resistance phenotype of 4027 samples harbouring 367 unique missense mutations in pncA derived from 24 231 clinical isolates. CONCLUSIONS: This work demonstrates how machine learning can enhance the sensitivity/specificity of pyrazinamide resistance prediction in genetics-based clinical microbiology workflows, highlights novel mutations for future biochemical investigation, and is a proof of concept for using this approach in other drugs.

BACKGROUND: Physical activity for any purpose counts toward meeting Physical Activity Guidelines (PAG). However, national surveillance systems traditionally focus on leisure-time physical activity. There is an incomplete understanding of the association between meeting PAG in leisure time and occupation activity level among US workers. METHODS: We used cross-sectional 2020 National Health Interview Survey data to examine US adults aged 18-64 years who worked the week before the survey (n = 14,814). We estimated the proportion meeting aerobic and muscle-strengthening PAG in leisure time by occupation activity level (low, intermediate, and high). Using logistic regression, we examined the association between meeting PAG in leisure time and occupation activity level, adjusted for sociodemographic characteristics and stratified by hours worked. We compared the sociodemographic characteristics of adults working ≥40 hours (the previous week) in high-activity occupations to those in low- or intermediate-activity occupations. RESULTS: Adults working in high-activity occupations were less likely to meet PAG in leisure time (26.1% [24.3-28.1]) versus those in low-activity (30.6% [29.1-32.2], P < .01) or intermediate-activity (32.4% [30.8-34.2]) occupations. In stratified, adjusted models, adults working ≥40 hours in low- and intermediate-activity occupations were 13% and 20%, respectively, more likely to meet PAG in leisure time versus those in high-activity occupations. Among those working ≥40 hours, adults in high-activity occupations were more likely to be Hispanic or Latino, male, younger, and have a high school education or lower compared with those in less active occupations. CONCLUSION: Traditional surveillance may underestimate meeting PAG among people working in high-activity occupations, potentially disproportionately affecting certain groups.

BACKGROUND: Vision Zero is a strategy to eliminate traffic fatalities and to promote equitable mobility options for all road users. Using a nationally representative survey, we aimed to estimate the prevalence of Vision Zero action plans or strategies in the USA. METHODS: Municipal officials were surveyed in 2021. In this cross-sectional study, we calculated the prevalence of Vision Zero plans or strategies and compared municipalities with adjusted prevalence ratios (PR) to account for region and sociodemographic characteristics. RESULTS: Among 1955 municipalities participating in the survey (question-specific response rate: 44.3%), the prevalence of a Vision Zero action plan or strategy was 7.7%; 70.5% responded no and 21.8% don't know. Prevalence was 4.8% in small municipalities (1000-2499 residents), 20.3% in medium-large municipalities (50 000-124 999 residents; PR=4.1), and 37.8% in large municipalities (≥125 000 residents; PR=7.6). CONCLUSION: The prevalence of Vision Zero plans and strategies across the USA is low. Additional adoption of Vision Zero plans and strategies could help address traffic fatalities.

The Physical Activity Guidelines for Americans, second edition, recommends older adults participate in ≥150 minutes per week of moderate-intensity equivalent aerobic activity and ≥2 days per week of muscle-strengthening activity. We estimated prevalence and trends of meeting the guidelines among US adults aged ≥65 years from 1998 to 2018. Using the 1998-2018 National Health Interview Survey, we estimated the prevalence of meeting aerobic, muscle-strengthening, and combined physical activity guidelines stratified by age group, sex, race and ethnicity, and education level. Within age groups, we calculated prevalence differences by sociodemographic categories. Prevalence of meeting each guideline increased for all age groups and most sociodemographic subgroups. The increased magnitude of meeting the combined guideline from 1998-2000 to 2016-2018 differed across levels of educational attainment for most age groups. Despite increasing over time, the prevalence among older adults of meeting physical activity guidelines remains low (range for combined guideline: 7.2%-17.2%).

BACKGROUND: The built environments in which we work, live, and play can influence physical activity behaviors, and perceptions of these environments are associated with walking behavior. This study's objective is to compare national-level data on perceptions of the near-home walking environment from the 2015 and 2020 National Health Interview Survey. METHODS: Adults in 2015 (n = 30,811) and 2020 (n = 29,636) reported perceptions of walkable supports (roads, sidewalks, paths, or trails; sidewalks on most streets), destinations (shops, stores, or markets; bus or transit stops; movies, libraries, or churches; places that help you relax, clear your mind, and reduce stress), and barriers to walking (traffic; crime; animals). Age-adjusted prevalence estimates, prevalence differences, and 95% confidence intervals were calculated overall and by demographic characteristics. RESULTS: The reported prevalence of roads, sidewalks, paths, or trails for walking increased overall (85.3% in 2015 to 88.0% in 2020) and for many subgroups. Perceived places to walk to for relaxation, to clear your mind, and to reduce stress increased overall (72.1% in 2015 to 77.1% in 2020) and for all subgroups. Perceptions of crime as a barrier to walking decreased overall (12.5% in 2015 to 11.2% in 2020) and for some subgroups. From 2015 to 2020, the proportion of adults perceiving roads, sidewalks, paths, or trails; places to relax; and crime as a barrier to walking improved. CONCLUSIONS: Continuing to monitor perceptions of the walking environment could contribute to progress toward national walking and walkability goals in the United States.

INTRODUCTION: Federal guidelines recommend physical activity throughout the day for preschool-aged children. Time playing outdoors can support physical activity participation, health, and development. Estimates of time playing outdoors among US children aged 3-5 years have not been published. METHODS: Parent/caregiver-reported data on children aged 3-5 years from the 2021 National Survey of Children's Health were analyzed in 2022-23. Chi-square tests were used to identify differences in time playing outdoors by sociodemographic and neighborhood characteristics. Multiple logistic regression analyses were conducted with significant characteristics for weekdays and weekend days. RESULTS: Among 11,743 children aged 3-5 years, 37% played outdoors for ≤1 hour on weekdays, and 24% played outdoors for ≤1 hour on weekend days. In 9 states, ≥40% of children played outdoors for ≤1 hour on weekdays. Adjusted models for weekdays and weekend days showed a greater likelihood of ≤1 hour playing outdoors among those in all racial/ethnic groups compared to Non-Hispanic White, those who lived in metropolitan statistical areas, those who did not participate in child care, and those whose adult proxy disagreed with "we watch out for each other's children in this neighborhood." The weekday model showed additional differences by sex, with girls more likely to have ≤1 hour of time playing outdoors. CONCLUSIONS: Nearly 40% of preschool-aged children play outdoors for ≤1 hour per day on weekdays, with differences by sociodemographic and neighborhood characteristics. Further study and interventions focused on building supportive, equitable communities might increase the amount of time preschool-aged children spend playing outdoors.

In April 2023, following the annual International Committee on Taxonomy of Viruses (ICTV) ratification vote on newly proposed taxa, the phylum Negarnaviricota was amended and emended. The phylum was expanded by one new family, 14 new genera, and 140 new species. Two genera and 538 species were renamed. One species was moved, and four were abolished. This article presents the updated taxonomy of Negarnaviricota as now accepted by the ICTV.

INTRODUCTION: The 2014 Community-Based Survey of Supports for Healthy Eating and Active Living documented the prevalence of US municipal policy and community design supports for physical activity. The survey was repeated in 2021. Our study examined change in the prevalence of supports from 2014 to 2021, overall and by municipality characteristic. METHODS: Municipalities were sampled independently each survey year. We calculated prevalence in 2014 and 2021 and the prevalence ratio (PR) for 15 supports covering zoning codes, park policies and budgets, design standards, Complete Streets policies, and shared use agreements. We used a Bonferroni-corrected Breslow-Day test to test for interaction by municipality characteristic. RESULTS: In 2014 (2,009 municipalities) compared with 2021 (1,882 municipalities), prevalence increased for several zoning codes: block sizes of walkable distances (PR = 1.46), minimum sidewalk width (PR = 1.19), pedestrian amenities along streets (PR = 1.15), continuous sidewalk coverage (PR = 1.14), and building orientation to pedestrian scale (PR = 1.08). Prevalence also increased for design standards requiring dedicated bicycle infrastructure for roadway expansion projects or street retrofits (PR = 1.19). Prevalence declined for shared use agreements (PR = 0.87). The prevalence gap widened between the most and least populous municipalities for Complete Streets policies (from a gap of 33.6 percentage points [PP] in 2014 to 54.0 PP in 2021) and for zoning codes requiring block sizes that were walkable distances (from 11.8 PP to 41.4 PP). CONCLUSION: To continue progress, more communities could consider adopting physical activity-friendly policies and design features.

INTRODUCTION/OBJECTIVES: The Centers for Disease Control and Prevention recognizes routine vaccination, sufficient sleep, and adequate physical activity as behavioral approaches to reduce the incidence of influenza. We aimed to determine the joint national prevalence of these health behaviors among U.S. adults, which has not been reported. METHODS: We used the 2020 National Health Interview Survey to assess prevalence of receiving influenza vaccination in the past 12 months, obtaining sufficient sleep, and achieving adequate physical activity among U.S. adults (n = 30,312). We calculated the joint prevalence overall and by sociodemographic and health-related variables. RESULTS AND CONCLUSIONS: The overall joint prevalence was 8.5% (95% CI, 8.0-9.0). Prevalence was lower among older persons (vs younger); Hispanic and non-Hispanic Black persons (vs non-Hispanic White); current and former smokers (vs never smokers); postpartum women (vs neither pregnant nor postpartum); and those with a history of coronary heart disease, hypertension, stroke, diabetes, and chronic obstructive pulmonary disease (vs not having those respective condition). In addition to recommending annual vaccination, primary care providers might encourage sufficient sleep and adequate physical activity-especially among patients who have increased risk for influenza complications and are less likely to achieve these behaviors.

The COVID-19 pandemic may have disrupted people's work-life patterns and access to places to be physically active. Behavioral Risk Factor Surveillance System data were analyzed to assess changes in self-reported leisure-time physical inactivity. The results showed that prevalence of inactivity among US adults decreased 0.7 percentage points (95% CI: -1.2 to -0.3), from 24.5% in 2018 to 23.8% in 2020, and the greatest decreases were observed among rural-dwelling women, rural-dwelling men, and non-Hispanic White women. These findings highlight a need to understand and address factors that lead to differential changes in leisure-time physical inactivity across subpopulations during public health emergencies.

OBJECTIVES: To determine the prevalence of perceived decreases in three physical activity (PA) behaviors and meeting the PA guideline, by changes in telework. METHODS: U.S. workers (n = 2393) reported teleworking and PA behaviors before and after COVID-19 emergence. Those reporting more and less telework were compared to those reporting stable telework on prevalence of (1) decreasing behaviors and (2) meeting the aerobic guideline (≥150 min/week of moderate-intensity PA). RESULTS: Compared to workers with stable telework, those with increased telework were more likely to report decreases in any PA (by 61%), active transportation (65%), and park use (52%). Workers who deceased telework were also more likely to report decreases in these behaviors. Groups were equally likely to meet the guideline. CONCLUSION: Changes in teleworking status-either more or less-may be associated with decreased participation in PA behaviors.

BACKGROUND: Assessing awareness and knowledge of the Physical Activity Guidelines for Americans, 2nd edition (Guidelines), released in 2018, is important for monitoring factors that contribute to increasing physical activity. METHODS: We estimated prevalence of awareness and knowledge of the adult aerobic guideline (≥150 min/wk of moderate-intensity equivalent aerobic physical activity preferably spread out over a week) among adults (n = 3471) and of the youth aerobic guideline (≥60 min/d of mostly moderate- to vigorous-intensity aerobic physical activity) among a subset of parents (n = 744) from a nationwide sample of US adults in the 2019 FallStyles survey. We estimated odds ratios using logistic regression, adjusting for demographic and other characteristics. RESULTS: Approximately 1 in 10 US adults and parents reported being aware of the Guidelines. Only 3% of adults knew the correct adult aerobic guideline. The most common responses were "don't know/not sure" (44%) and "30 minutes a day, 5 or more days a week" (28%). Among parents, 15% knew the youth aerobic guideline. Awareness and knowledge tended to be lower with lower education and income. CONCLUSIONS: Limited awareness and knowledge of the Guidelines suggest communication about the Guidelines could be strengthened, especially among adults with low income or education.

OBJECTIVE: To examine the association of leisure-time physical activity with mortality from influenza and pneumonia. METHODS: A nationally representative sample of US adults (aged ≥18 years) who participated in the National Health Interview Survey from 1998 to 2018 were followed for mortality through 2019. Participants were classified as meeting both physical activity guidelines if they reported ≥150 min/week of moderate-intensity equivalent aerobic physical activity and ≥2 episodes/week of muscle-strengthening activity. Participants were also classified into five volume-based categories of self-reported aerobic and muscle-strengthening activity. Influenza and pneumonia mortality was defined as having an underlying cause of death with an International Classification of Diseases, 10th Revision code of J09-J18 recorded in the National Death Index. Mortality risk was assessed using Cox proportional hazards, adjusting for sociodemographic and lifestyle factors, health conditions and influenza and pneumococcal vaccination status. Data were analysed in 2022. RESULTS: Among 577 909 participants followed for a median of 9.23 years, 1516 influenza and pneumonia deaths were recorded. Compared with participants meeting neither guideline, those meeting both guidelines had 48% lower adjusted risk of influenza and pneumonia mortality. Relative to no aerobic activity, 10-149, 150-300, 301-600 and >600 min/week were associated with lower risk (by 21%, 41%, 50% and 41%). Relative to <2 episodes/week of muscle-strengthening activity, 2 episodes/week was associated with 47% lower risk and ≥7 episodes/week with 41% higher risk. CONCLUSIONS: Aerobic physical activity, even at quantities below the recommended level, may be associated with lower influenza and pneumonia mortality while muscle-strengthening activity demonstrated a J-shaped relationship.

Commercially-available location-based services (LBS) data derived primarily from mobile devices may provide an alternative to surveys for monitoring physically-active transportation. Using Spearman correlation, we compared county-level metrics of walking and bicycling from StreetLight with metrics of physically-active commuting among U.S. workers from the American Community Survey. Our strongest pair of metrics ranked counties (n = 298) similarly for walking (rho = 0.53 [95% CI: 0.44-0.61]) and bicycling (rho = 0.61 [0.53-0.67]). Correlations were higher for denser and more urban counties. LBS data may offer public health and transportation professionals timely information on walking and bicycling behavior at finer geographic scales than some existing surveys.

BACKGROUND: In 2020, at the onset of the COVID-19 pandemic, the United States experienced surges in healthcare needs, which challenged capacity throughout the healthcare system. Stay-at-home orders in many jurisdictions, cancellation of elective procedures, and closures of outpatient medical offices disrupted patient access to care. To inform symptomatic persons about when to seek care and potentially help alleviate the burden on the healthcare system, Centers for Disease Control and Prevention (CDC) and partners developed the CDC Coronavirus Self-Checker ("Self-Checker"). This interactive tool assists individuals seeking information about COVID-19 to determine the appropriate level of care by asking demographic, clinical, and nonclinical questions during an online "conversation." OBJECTIVE: This paper describes user characteristics, trends in use, and recommendations delivered by the Self-Checker between March 23, 2020, and April 19, 2021, for pursuing appropriate levels of medical care depending on the severity of user symptoms. METHODS: User characteristics and trends in completed conversations that resulted in a care message were analyzed. Care messages delivered by the Self-Checker were manually classified into three overarching conversation themes: (1) seek care immediately; (2) take no action, or stay home and self-monitor; and (3) conversation redirected. Trends in 7-day averages of conversations and COVID-19 cases were examined with development and marketing milestones that potentially impacted Self-Checker user engagement. RESULTS: Among 16,718,667 completed conversations, the Self-Checker delivered recommendations for 69.27% (n=11,580,738) of all conversations to "take no action, or stay home and self-monitor"; 28.8% (n=4,822,138) of conversations to "seek care immediately"; and 1.89% (n=315,791) of conversations were redirected to other resources without providing any care advice. Among 6.8 million conversations initiated for self-reported sick individuals without life-threatening symptoms, 59.21% resulted in a recommendation to "take no action, or stay home and self-monitor." Nearly all individuals (99.8%) who were not sick were also advised to "take no action, or stay home and self-monitor." CONCLUSIONS: The majority of Self-Checker conversations resulted in advice to take no action, or stay home and self-monitor. This guidance may have reduced patient volume on the medical system; however, future studies evaluating patients' satisfaction, intention to follow the care advice received, course of action, and care modality pursued could clarify the impact of the Self-Checker and similar tools during future public health emergencies.

In March 2022, following the annual International Committee on Taxonomy of Viruses (ICTV) ratification vote on newly proposed taxa, the phylum Negarnaviricota was amended and emended. The phylum was expanded by two new families (bunyaviral Discoviridae and Tulasviridae), 41 new genera, and 98 new species. Three hundred forty-nine species were renamed and/or moved. The accidentally misspelled names of seven species were corrected. This article presents the updated taxonomy of Negarnaviricota as now accepted by the ICTV.

Motor vehicle traffic is commonly cited as a barrier to walking, but national level perceptions of traffic characteristics that negatively influence walking and potential traffic mitigation strategies remain unclear. The objectives of this study were to describe perceptions of (1) traffic characteristics that make walking unsafe in the United States and (2) potential mitigation strategies to address these concerns among those who report traffic as a barrier to walking. Data were from FallStyles, a nationwide internet panel survey conducted in October 2019 (n = 3,284 adults). Respondents reported if traffic makes walking unsafe where they live; those who answered yes were then asked about traffic characteristics that make walking unsafe (number of vehicles, speed of vehicles, distracted or impaired driving, types of vehicles, and other reasons) and potential mitigation strategies (new or improved sidewalks, crosswalks, pedestrian signals, street lighting, things that slow vehicles down, separating the sidewalk from the road, fewer vehicle lanes, and other). Prevalence of responses was assessed overall and by select sociodemographic and geographic characteristics, and by walking status. Nearly 25% of US adults reported that traffic is a barrier to walking where they live. Of these, 79% selected vehicle speed as a contributing traffic characteristic, and 57% indicated new or improved sidewalks as a potential mitigation strategy. These top responses were shared across all sociodemographic, geographic, and walking behavior subgroups. Speed reduction efforts and built environment enhancements such as sidewalks may alleviate pedestrian safety concerns. Promotion campaigns may be needed to bring awareness to such changes.

This cohort study uses national data to explore the dose-response association between guideline-recommended physical activity and mortality in older adults. | eng

INTRODUCTION: Obesity and physical inactivity are considered possible U.S. national security threats because of their impact on military recruitment. The objectives of this study were to estimate the prevalence of (1) BMI eligibility for military entrance, (2) adequate physical activity participation among the BMI-eligible population, and (3) combined BMI eligibility and adequate physical activity. METHODS: This cross-sectional study of nonpregnant, military-aged civilians (aged 17-42 years) used objectively measured weight and height data and self-reported aerobic physical activity data from the 2015-2020 National Health and Nutrition Examination Survey. BMI eligibility was defined as 19.0-27.5 kg/m(2), per Department of Defense regulation. Adequate physical activity for entering initial military training was defined as 300 minutes/week of equivalent moderate-intensity aerobic physical activity from all domains, approximating U.S. Army guidance. Participants meeting both definitions were further classified as eligible and active. Analyses were conducted in 2021-2022. RESULTS: Of military-aged participants (unweighted n=5,964), 47.3% were eligible by BMI. Among BMI-eligible participants, 72.5% reported adequate physical activity. Taken together, 34.3% were both eligible and active. The prevalence of eligible and active status was higher among males, persons who were younger and non-Hispanic White, college graduates, and those with higher family income than among their counterparts. CONCLUSIONS: Among the military-aged U.S. population, slightly under half were eligible to enter the military on the basis of their BMI, and only 1 in 3 met BMI eligibility and were adequately physically active. Equitable promotion of healthy weight achievement and physical activity participation may improve military preparedness.

The Physical Activity Guidelines for Americans, second edition was released in 2018 and recommends adults do 150 minutes/week of moderate-intensity equivalent aerobic physical activity preferably spread out over a week (adult aerobic guideline). Assessing awareness and knowledge of the guideline is important for monitoring public understanding of physical activity and health. PURPOSE: To describe prevalence and correlates of reported awareness and knowledge of the aerobic guideline among US adults. METHODS: National data from the 2019 FallStyles survey were analyzed. Adults (n=3471) who reported seeing, hearing, or reading anything about governmental physical activity guidelines in the last year were considered aware of the guidelines. Adults who selected 150 minutes spread out over a week when asked about the minimum amount of moderate-intensity physical activity the government recommends for substantial health benefits were considered knowledgeable of the adult aerobic guideline. Weighted prevalence and adjusted odds ratios from logistic regression models were estimated. RESULTS: Overall, 9.2% of adults reported being aware of the guidelines and 2.9% knew the aerobic guideline, though 27.5% selected 30 minutes/day, 5 days/week, which is one way to meet the guideline. After adjusting for covariates, the odds of awareness were higher with older age, higher education level, and among married adults (bivariate differences by income no longer significant). Adults who were aware of the guidelines had higher odds of knowing the guideline (bivariate differences by education, income, and meeting the guideline no longer significant).

PURPOSE: Wearable activity monitors (wearables) are increasingly used in the US and can help encourage physical activity participation through step counts. Understanding whether wearable users track daily step counts and how they set step goals can help ensure wearables are designed and used to maximize their public health impact. This study examined the proportion of US adults who use wearables, and among users whether wearables are used to track daily step counts and how they determine their daily step count goals. | | METHODS: Data from a nationwide sample of US adults (SummerStyles, 2020) were analyzed (N = 3661). Participants were asked if they have ever used a wearable and were categorized as a current, past, or never user. Current users were asked if they use their wearable to track their daily step count. Those who responded yes were asked if they determine their daily step goal by using the default goal, a personal goal, no goal, or that they gradually increase their step goal. Prevalence of wearable users, use of wearable to track daily step counts, and how users determine daily step count goals were calculated overall and by demographic characteristics. Pairwise t tests were used to identify significant differences between subgroups (p < .05). | | RESULTS: Overall, 31.4% of US adults currently use a wearable activity monitor. Among current users (n = 1219), 88.3% reported using their device to track their daily step count with a greater prevalence among females (91.2%) compared to males (84.6%) and among Hispanics (95.2%) compared to Whites (87.1%). Current wearable users reported determining their step count goal by using the default goal (41.7%), their own personal goal (32.9%), not having a daily goal (17.4%), and gradually increasing their daily goal (8.0%). | | CONCLUSION: Nearly 9 in 10 wearable users track their daily step count on their devices. Most users set step goals based on default settings or personal goals, so establishing evidence-based steps per day guidelines may help wearable users achieve levels of health enhancing physical activity.

PURPOSE: Inadequate pre-enlistment physical activity is a risk factor for musculoskeletal injury during and discharge from basic military training. We estimated the prevalence of physical activity (PA) participation among the US population eligible to enter the armed forces based on age and body mass index (BMI) overall and by selected characteristics. | | METHODS: Data on non-pregnant, age-eligible respondents (aged 17-42 years) were analyzed from the January 2015 - March 2020 National Health and Nutrition Examination Survey (unweighted n = 5964). In accordance with Department of Defense policy, BMI eligibility was defined as 19.0-27.5 kg/m2; BMI was calculated from measured weight and height. Based on guidance from the US Army Pre-Basic Combat Training Physical Training Program and the Physical Activity Guidelines for Americans, 2nd edition, we characterized inadequate PA participation as < 300 minutes/week of equivalent moderate-intensity PA from all domains. We calculated PA overall and compared PA by gender, age, race/ethnicity, education, and family income using the Satterthwaite adjusted F-test. | | RESULTS: Of the age-eligible population, 47.3% were BMI eligible. Among those eligible by age and BMI, 27.5% had an inadequate PA level. Prevalence of inadequate PA was lower among males than females (P = .001) and non-Hispanic white persons versus other racial/ethnic groups (P < .001); no significant differences were evident by age, education, or family income. Among those with BMI < 19.0 kg/m2 and > 27.5 kg/m2, respective prevalence of inadequate PA was 36.3% and 36.5%. | | CONCLUSIONS: Less than half of the military age-eligible US population has an eligible BMI for entering the US armed forces. Over a quarter of these report PA that may be inadequate for basic military training. Promotion of healthy weight status and participation in PA in young adults could help improve readiness to enter the armed forces.

Telehealth is the use of electronic information and telecommunication technologies to provide care when the patient and the provider are not in the same room at the same time. Telehealth accounted for less than 1% of all Medicare Fee-for-Service outpatient visits in the United States in 2019 but grew to account for 46% of all visits in April 2020. Changes in reimbursement and licensure policies during the COVID-19 pandemic appeared to greatly facilitate this increased use. Telehealth will continue to account for a substantial portion of care provided in the United States and globally. A better understanding of telehealth approaches and their evidence base by public health practitioners may help improve their ability to collaborate with health care organizations to improve population health. The article summarizes the Centers for Disease Control and Prevention's (CDC's) approach to understanding the evidence base for telehealth in public health practice, possible applications for telehealth in public health practice, and CDC's use of telehealth to improve population health.

One promising though understudied approach to addressing race/ethnic disparities in teen pregnancy rates is through sexual and reproductive health (SRH) programming for young men. This pilot study assessed the feasibility, quality, and preliminary efficacy of Manhood 2.0-a group-based, after-school SRH program for young Black and Latino men, which examines gender norms. This mixed-methods study describes program attendance and quality; participant experiences and engagement in the program; and changes in participant gender norms, knowledge, attitudes, self-efficacy, and social support. Quantitative data from baseline and post-intervention surveys (n = 51) were analyzed using paired t-tests and McNemar's tests. Qualitative data from five post-intervention focus groups (n = 27) were transcribed, coded, and analyzed for themes. At baseline, participants were ages 15 to18 years (M = 16.4 years), 30% were Latino, 66% were Black, 34% ever had sex, and 44% of sexually active participants had sex without any contraceptive method or condom. Quality ratings by program observers were high. The majority of participants (61%) attended at least 75% of sessions, and 96% rated Manhood 2.0 as "very good" or "excellent." Pre-post comparisons showed increases in receipt of SRH information; contraception knowledge; positive attitudes about supporting partners in pregnancy prevention; self-efficacy in partner communication about sex; discussing program content with friends and family; and social competence and support. Focus group participants described benefits from the Manhood 2.0 content (i.e., full range of contraceptive methods, sexual consent, gender norms) and delivery (i.e., reflective discussion, nonjudgmental facilitators). Findings suggest that Manhood 2.0 is a promising SRH program for young men.

The COVID-19 pandemic prompted built environment changes throughout the United States. We assessed the prevalence of new places and changed spaces for physical activity as observed by US adults and their intentions to use them. We used data from SummerStyles, a web-based survey of US adults conducted in June 2021 (n = 4073). Respondents were asked if they had discovered new places to be physically active during the past year, and if changes had been made to streets or outdoor areas to allow additional space for recreating. Those responding "yes" were asked if they intended to use the respective space. We estimated the weighted prevalence of adults who observed new places and changed spaces, and their intended use, by sociodemographic and geographic characteristics, physical activity level, and walking status. We compared subgroups with prevalence ratios (PR). Overall, 25.0% of US adults reported discovering new places for physical activity, and 25.3% reported changes to streets and outdoor spaces. Intention to use new places and changed spaces exceeded 50% among all sociodemographic and geographic subgroups. Among those reporting changes, adults who were physically inactive compared to those who were sufficiently active had similar intentions to use new places (PR = 0.83; 95% CI = 0.63, 1.10) and changed spaces (PR = 0.90; 95% CI = 0.69, 1.17). Approximately 1 in 4 adults reported discovering new places or changed spaces to support physical activity during the COVID-19 pandemic, and most intended to use these features. Expanding access to such supportive environments may help promote physical activity participation.

Background: Molecular diagnostics are considered the most promising route to achievement of rapid, universal drug susceptibility testing for Mycobacterium tuberculosis complex (MTBC). We aimed to generate a WHO-endorsed catalogue of mutations to serve as a global standard for interpreting molecular information for drug resistance prediction. Methods: In this systematic analysis, we used a candidate gene approach to identify mutations associated with resistance or consistent with susceptibility for 13 WHO-endorsed antituberculosis drugs. We collected existing worldwide MTBC whole-genome sequencing data and phenotypic data from academic groups and consortia, reference laboratories, public health organisations, and published literature. We categorised phenotypes as follows: methods and critical concentrations currently endorsed by WHO (category 1); critical concentrations previously endorsed by WHO for those methods (category 2); methods or critical concentrations not currently endorsed by WHO (category 3). For each mutation, we used a contingency table of binary phenotypes and presence or absence of the mutation to compute positive predictive value, and we used Fisher's exact tests to generate odds ratios and Benjamini-Hochberg corrected p values. Mutations were graded as associated with resistance if present in at least five isolates, if the odds ratio was more than 1 with a statistically significant corrected p value, and if the lower bound of the 95% CI on the positive predictive value for phenotypic resistance was greater than 25%. A series of expert rules were applied for final confidence grading of each mutation. Findings: We analysed 41 137 MTBC isolates with phenotypic and whole-genome sequencing data from 45 countries. 38 215 MTBC isolates passed quality control steps and were included in the final analysis. 15 667 associations were computed for 13 211 unique mutations linked to one or more drugs. 1149 (73%) of 15 667 mutations were classified as associated with phenotypic resistance and 107 (07%) were deemed consistent with susceptibility. For rifampicin, isoniazid, ethambutol, fluoroquinolones, and streptomycin, the mutations' pooled sensitivity was more than 80%. Specificity was over 95% for all drugs except ethionamide (914%), moxifloxacin (916%) and ethambutol (933%). Only two resistance mutations were identified for bedaquiline, delamanid, clofazimine, and linezolid as prevalence of phenotypic resistance was low for these drugs. Interpretation: We present the first WHO-endorsed catalogue of molecular targets for MTBC drug susceptibility testing, which is intended to provide a global standard for resistance interpretation. The existence of this catalogue should encourage the implementation of molecular diagnostics by national tuberculosis programmes. Funding: Unitaid, Wellcome Trust, UK Medical Research Council, and Bill and Melinda Gates Foundation. 2022 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license

BACKGROUND: Clinical severity of coronavirus disease 2019 (COVID-19) may vary over time; trends in clinical severity at admission during the pandemic among hospitalized patients in the United States have been incompletely described, so a historical record of severity over time is lacking. METHODS: We classified 466677 hospital admissions for COVID-19 from April 2020 to April 2021 into 4 mutually exclusive severity grades based on indicators present on admission (from most to least severe): Grade 4 included intensive care unit (ICU) admission and invasive mechanical ventilation (IMV); grade 3 included non-IMV ICU and/or noninvasive positive pressure ventilation; grade 2 included diagnosis of acute respiratory failure; and grade 1 included none of the above indicators. Trends were stratified by sex, age, race/ethnicity, and comorbid conditions. We also examined severity in states with high vs low Alpha (B.1.1.7) variant burden. RESULTS: Severity tended to be lower among women, younger adults, and those with fewer comorbidities compared to their counterparts. The proportion of admissions classified as grade 1 or 2 fluctuated over time, but these less-severe grades comprised a majority (75%-85%) of admissions every month. Grades 3 and 4 consistently made up a minority of admissions (15%-25%), and grade 4 showed consistent decreases in all subgroups, including states with high Alpha variant burden. CONCLUSIONS: Clinical severity among hospitalized patients with COVID-19 has varied over time but has not consistently or markedly worsened over time. The proportion of admissions classified as grade 4 decreased in all subgroups. There was no consistent evidence of worsening severity in states with higher vs lower Alpha prevalence.

BACKGROUND: The National Health Interview Survey is unique among US federal surveillance systems with over 20 years of consistent assessment of muscle-strengthening and aerobic activity. The authors examined trends in the prevalence of US adults who met the muscle-strengthening (2 or more days per week) and the combined muscle-strengthening and aerobic physical activity (at least 150 min/wk of moderate-intensity equivalent activity) guidelines from 1998 to 2018. METHODS: The 1998-2018 National Health Interview Survey data were analyzed. Age-adjusted prevalence of meeting the muscle-strengthening and combined aerobic and muscle-strengthening guidelines by selected respondent characteristics were estimated for each year and linear and higher-order trends were assessed. RESULTS: From 1998 to 2018, prevalence of meeting the muscle-strengthening guideline increased from 17.7% to 27.6%, and meeting the combined aerobic and muscle-strengthening guidelines increased from 14.4% to 24.0%. All subgroups demonstrated significant increases in meeting both guideline measures over this period although trends varied across the 21 years; increasing trends were more commonly sustained in the second decade of monitoring. CONCLUSIONS: Although increasing trends in prevalence of meeting the muscle-strengthening and combined guidelines are encouraging, current prevalence estimates remain low. Opportunities exist for the continued promotion of muscle-strengthening activity using evidence-based approaches.