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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., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Arthritis is a chronic inflammatory condition and a leading cause of chronic pain and disability. Because arthritis prevalence is higher among U.S. military veterans (veterans), and because the veteran population has become more sexually, racially, ethnically, and geographically diverse, updated arthritis prevalence estimates are needed. CDC analyzed pooled 2017-2021 Behavioral Risk Factor Surveillance System data to estimate the prevalence of diagnosed arthritis among veterans and nonveterans, stratified by sex and selected demographic characteristics. Approximately one third of veterans had diagnosed arthritis (unadjusted prevalence = 34.7% [men] and 31.9% [women]). Among men aged 18-44 years, arthritis prevalence among veterans was double that of nonveterans (prevalence ratio [PR] = 2.1; 95% CI = 1.9-2.2), and among men aged 45-64 years, arthritis prevalence among veterans was 30% higher than that among nonveterans (PR = 1.3; 95% CI = 1.3-1.4). Among women aged 18-44 years, arthritis prevalence among veterans was 60% higher than that among nonveterans (PR = 1.6; 95% CI = 1.4-1.7); among women aged 45-64 years, arthritis prevalence among veterans was 20% higher than that among nonveterans (PR = 1.2; 95% CI = 1.1-1.3). Cultivating partnerships with veteran-serving organizations to promote or deliver arthritis-appropriate interventions might be advantageous, especially for states where arthritis prevalence among veterans is highest. The high prevalence of arthritis among female veterans, veterans aged ≥65 years, and veterans with disabilities highlights the importance of ensuring equitable access and inclusion when offering arthritis-appropriate interventions., Competing Interests: All authors have completed and submitted the International Committee of Medical Journal Editors form for disclosure of potential conflicts of interest. Elizabeth A. Fallon reports receipt of payment from Baylor University as a part-time instructor in the graduate public health program. Kelli D. Allen reports grant support from Veterans Administration Health Services Research & Development, focused on management of osteoarthritis, and uncompensated service on the Data Safety Monitoring Board for Veterans Administration Health Services Research & Development. No other potential conflicts of interest were disclosed.

Arthritis includes approximately 100 conditions that affect the joints and surrounding tissues. It is a leading cause of activity limitations, disability, and chronic pain, and is associated with dispensed opioid prescriptions, substantially contributing to health care costs. Combined 2019-2021 National Health Interview Survey data were analyzed to update national prevalence estimates of self-reported diagnosed arthritis. An estimated 21.2% (18.7% age-standardized) of U.S. adults aged ≥18 years (53.2 million) had diagnosed arthritis during this time frame. Age-standardized arthritis prevalences were higher among women (20.9%) than men (16.3%), among veterans (24.2%) than nonveterans (18.5%), and among non-Hispanic White (20.1%) than among Hispanic or Latino (14.7%) or non-Hispanic Asian adults (10.3%). Adults aged ≥45 years represent 88.3% of all U.S. adults with arthritis. Unadjusted arthritis prevalence was high among adults with chronic obstructive pulmonary disease (COPD) (57.6%), dementia (55.9%), a disability (54.8%), stroke (52.6%), heart disease (51.5%), diabetes (43.1%), or cancer (43.1%). Approximately one half of adults aged ≥65 years with COPD, dementia, stroke, heart disease, diabetes, or cancer also had a diagnosis of arthritis. These prevalence estimates can be used to guide public health policies and activities to increase equitable access to physical activity opportunities within the built environment and other arthritis-appropriate, evidence-based interventions., Competing Interests: All authors have completed and submitted the International Committee of Medical Journal Editors form for disclosure of potential conflicts of interest. No potential conflicts of interest were disclosed.

This study investigated relationships between youth physical activity (PA) environments and income and non-Hispanic White population across the United States, stratified by US Census region and urban-rural designation. For all counties (n = 3142), publicly accessible data were used for sociodemographic indicators (ie, median household income and percent non-Hispanic White population) and a composite PA environment index (including exercise opportunities, violent crime incidence, walkability, and access to public schools). One-way analysis of variance was used to examine differences in PA environment index values according to income and non-Hispanic White population tertiles. There were significant differences in PA environments according to tertiles of income (F = 493.5, P < .001) and non-Hispanic White population (F = 58.6, P < .001), including variations by region and urban-rural designation. Public health practice and policy initiatives, such as joint use agreements, Safe Routes to School programs, and targeted funding allocations, should be used to address more pronounced income-based disparities in Southern and metropolitan counties and race-based disparities in rural and micropolitan counties., Competing Interests: The authors declare no conflicts of interest., (Copyright © 2021 Wolters Kluwer Health, Inc. All rights reserved.)

This study examined spatial patterns of obesogenic environments for US counties. We mapped the geographic dispersion of food and physical activity (PA) environments, assessed spatial clustering, and identified food and PA environment differences across U.S. regions and rurality categories. Substantial low food score clusters were located in the South and high score clusters in the Midwest and West. Low PA score clusters were located in the South and high score clusters in the Northeast and Midwest (p < .0001). For region, the South had significantly lower food and PA environment scores. For rurality, rural counties had significantly higher food environment scores and metropolitan counties had significantly higher PA environment scores (p < .0001). This study highlights geographic clustering and disparities in food and PA access nationwide. State and region-wide environmental inequalities may be targeted using structural interventions and policy initiatives to improve food and PA access.

Local environments are increasingly the focus of health behavior research and practice to reduce gaps between fruit/vegetable intake, physical activity (PA), and related guidelines. This study examined the congruency between youth food and PA environments and differences by region, rurality, and income across the United States. Food and PA environment data were obtained for all U.S. counties (N = 3142) using publicly available, secondary sources. Relationships between the food and PA environment tertiles was represented using five categories: 1) congruent-low (county falls in both the low food and PA tertiles), 2) congruent-high (county falls in both the high food and PA tertiles), 3) incongruent-food high/PA low (county falls in high food and low PA tertiles), 4) incongruent-food low/PA high (county falls in low food and high PA tertiles), and 5) intermediate food or PA (county falls in the intermediate tertile for food and/or PA). Results showed disparities in food and PA environment congruency according to region, rurality, and income (p < .0001 for each). Nearly 25% of counties had incongruent food and PA environments, with food high/PA low counties mostly in rural and low-income areas, and food low/PA high counties mostly in metropolitan and high-income areas. Approximately 8.7% of counties were considered congruent-high and were mostly located in the Northeast, metropolitan, and high-income areas. Congruent-low counties made up 10.0% of counties and were mostly in the South, rural, and low-income areas. National and regional disparities in environmental obesity determinants were identified that can inform targeted public health interventions., (Copyright © 2021. Published by Elsevier Inc.)

Background: Diverse environmental factors are associated with physical activity (PA) and healthy eating (HE) among youth. However, no study has created a comprehensive obesogenic environment index for children that can be applied at a large geographic scale. The purpose of this study was to describe the development of a childhood obesogenic environment index (COEI) at the county level across the United States., Methods: A comprehensive search of review articles (n = 20) and input from experts (n = 12) were used to identify community-level variables associated with youth PA, HE, or overweight/obesity for potential inclusion in the index. Based on strength of associations in the literature, expert ratings, expertise of team members, and data source availability, 10 key variables were identified - six related to HE (# per 1000 residents for grocery/superstores, farmers markets, fast food restaurants, full-service restaurants, and convenience stores; as well as percentage of births at baby (breastfeeding)-friendly facilities) and four related to PA (percentage of population living close to exercise opportunities, percentage of population < 1 mile from a school, a composite walkability index, and number of violent crimes per 1000 residents). Data for each variable for all counties in the U.S. (n = 3142) were collected from publicly available sources. For each variable, all counties were ranked and assigned percentiles ranging from 0 to 100. Positive environmental variables (e.g., grocery stores, exercise opportunities) were reverse scored such that higher values for all variables indicated a more obesogenic environment. Finally, for each county, a total obesogenic environment index score was generated by calculating the average percentile for all 10 variables., Results: The average COEI percentile ranged from 24.5-81.0 (M = 50.02,s.d. = 9.01) across US counties and was depicted spatially on a choropleth map. Obesogenic counties were more prevalent (F = 130.43,p < .0001) in the South region of the U.S. (M = 53.0,s.d. = 8.3) compared to the Northeast (M = 43.2,s.d. = 6.9), Midwest (M = 48.1,s.d. = 8.5), and West (M = 48.4,s.d. = 9.8). When examined by rurality, there were also significant differences (F = 175.86,p < .0001) between metropolitan (M = 46.5,s.d. = 8.4), micropolitan (M = 50.3,s.d. = 8.1), and rural counties (M = 52.9,s.d. = 8.8) across the U.S., Conclusion: The COEI can be applied to benchmark obesogenic environments and identify geographic disparities and intervention targets. Future research can examine associations with obesity and other health outcomes.

Objective: The purpose of this study was to explore perceptions of the benefits of and influencing factors for neighborhood-based physical activity (PA), and elicit suggestions for increasing neighborhood-based PA among primarily Black residents living in lower income neighborhoods., Design: Eight focus groups were conducted in low-income, predominantly Black neighborhoods (n = 8) in Greenville, SC during Spring 2014. Using a semi-structured focus group guide with open-ended questions, residents were asked to describe benefits of PA, neighborhood factors associated with PA, and ways to increase PA within their neighborhoods. Trained research assistants transcribed audio recordings verbatim. Using grounded theory and an ecological perspective, emergent coding was employed to generate initial categories with open and axial coding used to achieve consensus on themes., Results: Primarily Black (95%), female (72%), and older (M = 61.5 years) residents (N = 76) participated in the study. Seven themes were identified across the three main focus group topics: physical and mental health benefits of neighborhood PA, safety/hazards and social factors as influencing neighborhood PA, and improving safety, structural opportunities, and programing support to improve neighborhood PA. Most participants reported walking within their communities, despite describing several community-level barriers (e.g. drugs, safety). Residents desired structured neighborhood-based opportunities for increasing PA, including walking tracks and walking groups, and reported social benefits to being active, including increased awareness within the community and trust. Participants conveyed that walking strengthened the social environment of their community as well as the health of residents., Conclusion: Few studies of contextual factors and PA have focused on African-American, low-income neighborhoods. Despite diverse environmental constraints, residents reported walking within their communities as part of a healthy lifestyle. Social ecological interventions tailored to promote PA and reduce health disparities among residents of low-income communities should highlight neighborhood-based opportunities for PA, focusing on personal and collective social benefits of neighborhood walking.

Study Objective: The purpose of the study was to compare human papillomavirus (HPV) vaccination rates before and after Affordable Care Act (ACA) implementation among women, and examine differences according to insurance status and other sociodemographic variables., Design, Setting, and Participants: This was a cross-sectional analysis of the National Health and Nutrition Examination Survey questionnaire data. Participants (n = 4599) were from a random sample of the United States population., Interventions and Main Outcome Measures: HPV vaccination status and number of doses received according to age, income, education, race, and insurance coverage., Results: Over time, the proportion of women reporting HPV vaccination increased from 16.4% to 27.6%, and reporting vaccination completion (3 doses) increased from 56.8% to 67.2%. After ACA implementation, respondents were 3.3 times more likely to be vaccinated compared with before ACA implementation (95% confidence interval [CI], 2.0-5.5) adjusting for age, race, and insurance coverage. Similarly, respondents were more likely to have received 2 (odds ratio, 2.8; 95% CI, 1.5-5.3) or 3 doses (odds ratio, 5.8; 95% CI, 2.5-13.6)., Conclusion: Vaccination uptake increased in a comparison of waves of data from before and after ACA implementation. This increase in vaccination coverage could be related to the increased preventative service coverage, which includes vaccines, required by the ACA. Future studies might focus on the role insurance has on vaccination uptake, and meeting Healthy People 2020 objectives for vaccination coverage., (Copyright © 2017 North American Society for Pediatric and Adolescent Gynecology. Published by Elsevier Inc. All rights reserved.)