ABSTRACT
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.
Subject(s)
Exercise , Health Promotion , Adult , Adolescent , Humans , United States , Exercise/physiology , Surveys and Questionnaires , Poverty , Educational StatusABSTRACT
School connectedness, defined as students' belief that adults and peers in their school care about their learning as well as about them as persons, has been linked to positive educational, behavioral, and health outcomes in adolescence and into adulthood. Data from the 2021 nationally representative Youth Risk Behavior Survey, conducted during the COVID-19 pandemic, were used to estimate prevalence of students' perception of school connectedness and examine associations between school connectedness and seven risk behaviors and experiences: poor mental health, marijuana use, prescription opioid misuse, sexual intercourse, unprotected sex, experiencing forced sex, and missing school because of feeling unsafe. Prevalence estimates were generated and pairwise t-tests were used to detect differences among student subpopulations by sex, grade, race and ethnicity, and sexual identity; Wald chi-square tests were used to detect differences in risk behaviors by level of connectedness within a subpopulation. Logistic regression models were used to estimate prevalence ratios comparing the prevalence of risk behaviors and experiences of students with high connectedness with students with low connectedness, stratified by demographics. During 2021, 61.5% of U.S. high school students reported feeling connected to others at school. In addition, school connectedness was associated with lower prevalence of every risk behavior and experience examined in this study, although certain associations differed by race and ethnicity and sexual identity (e.g., school connectedness was associated with better mental health outcomes for youths with heterosexual, bisexual, and questioning or other sexual identities, but not for youths who identified as lesbian or gay). These findings can guide public health interventions that promote youth well-being by creating school environments where all youths have a sense of belonging and feel they are cared for and supported.
Subject(s)
COVID-19 , Pandemics , Adult , Female , Humans , Adolescent , United States/epidemiology , COVID-19/epidemiology , Risk-Taking , Sexual Behavior/psychology , Students/psychologyABSTRACT
Active travel to school is one way youths can incorporate physical activity into their daily schedule. It is unclear the extent to which active travel to school is systematically monitored at local, state, or national levels. To determine the scope of active travel to school surveillance in the US and Canada and catalog the types of measures captured, we conducted a systematic review of peer-reviewed literature documenting active travel to school surveillance published from 2004 to February 2018. A study was included if it addressed children's school travel mode across two or more time periods in the US or Canada. Criteria were applied to determine whether a data source was considered an active travel to school surveillance system. We identified 15 unique data sources; 4 of these met our surveillance system criteria. One system is conducted in the US, is nationally representative, and occurs every 5-8 years. Three are conducted in Canada, are limited geographically to regions and provinces, and are administered with greater frequency (e.g., 2-year cycles). School travel mode was the primary measure assessed, most commonly through parent report. None of the systems collected data on school policies or program supports related to active travel to school. We concluded that incorporating questions related to active travel to school behaviors into existing surveillance systems, as well as maintaining them over time, would enable more consistent monitoring. Concurrently capturing behavioral information along with related environmental, policy, and program supports may inform efforts to promote active travel to school.
Subject(s)
Exercise , Health Behavior , Adult , Behavioral Risk Factor Surveillance System , Humans , Prevalence , United States/epidemiologyABSTRACT
BACKGROUND: High levels of sedentary behavior and physical inactivity increase the risk of premature mortality and several chronic diseases. Monitoring national trends and correlates of sedentary behavior and physical inactivity can help identify patterns of risk in the population over time. METHODS: The authors used self-reported data from the National Health and Nutrition Examination Surveys (2007/2008-2017/2018) to estimate trends in US adults' mean daily sitting time, overall, and stratified by levels of leisure-time and multidomain physical activity, and in the joint prevalence of high sitting time (>8 h/d) and physical inactivity. Trends were tested using orthogonal polynomial contrasts. RESULTS: Overall, mean daily sitting time increased by 19 minutes from 2007/2008 (332 min/d) to 2017/2018 (351 min/d) (Plinear < .05; Pquadratic < .05). The highest point estimate occurred in 2013/2014 (426 min/d), with a decreasing trend observed after this point (Plinear < .05). Similar trends were observed across physical activity levels and domains, with one exception: an overall linear increase was not observed among sufficiently active adults. The mean daily sitting time was lowest among highly active adults compared with less active adults when using the multidomain physical activity measure. CONCLUSIONS: Sitting time among adults increased over the study period but decreased in recent years.
Subject(s)
Exercise , Sitting Position , Adult , Cross-Sectional Studies , Humans , Leisure Activities , Nutrition Surveys , Sedentary Behavior , Self ReportABSTRACT
BACKGROUND: Surveillance is a core function of public health, and approaches to national surveillance of physical activity and sedentary behavior have evolved over the past 2 decades. The purpose of this paper is to provide an overview of surveillance of physical activity and sedentary behavior in the United States over the past 2 decades, along with related challenges and emerging opportunities. METHODS: The authors reviewed key national surveillance systems for the assessment of physical activity and sedentary behavior among youth and adults in the United States between 2000 and 2019. RESULTS: Over the past 20 years, 8 surveillance systems have assessed physical activity, and 5 of those have assessed sedentary behavior. Three of the 8 originated in nonpublic health agencies. Most systems have assessed physical activity and sedentary behavior via surveys. However, survey questions varied over time within and also across systems, resulting in a wide array of available data. CONCLUSION: The evolving nature of physical activity surveillance in the United States has resulted in both broad challenges (eg, balancing content with survey space; providing data at the national, state, and local level; adapting traditional physical activity measures and survey designs; and addressing variation across surveillance systems) and related opportunities.
Subject(s)
Adolescent Behavior , Sedentary Behavior , Adolescent , Adult , Exercise , Health Behavior , Humans , Public Health , Surveys and Questionnaires , United States/epidemiologyABSTRACT
BACKGROUND: Understanding how participation is changing across domains of physical activity is important for monitoring progress and informing promotion efforts. The authors examined changes in physical activity participation in the National Health and Nutrition Examination Survey 2007/2008 to 2017/2018. METHODS: The prevalence of inactivity, insufficient activity, and meeting the aerobic physical activity guideline in multidomain physical activity and each domain (leisure time, occupational/household, and transportation) was estimated for each cycle and stratified by selected characteristics. The authors tested trends over time and overall changes (2017/2018 vs 2007/2008). RESULTS: For multidomain physical activity, the prevalence of inactivity decreased linearly; meeting the aerobic guideline increased nonmonotonically, and the 2017/2018 prevalence (68.1%) was higher than 2007/2008 (64.1%). Similar findings were observed for adults aged ≥65 years, non-Hispanic Blacks, Hispanics, high school graduates, and adults with obesity. Domain-specific results varied, but decreasing trends in inactivity and increasing trends in meeting the guideline were consistently observed across subgroups for occupational/household activity. Meeting the guideline through transportation activity was rare. CONCLUSIONS: Increases in meeting the guideline and decreases in inactivity in multidomain activity and selected domains are encouraging results, especially among subgroups historically reporting low activity participation. Activity promotion efforts are important to maintain progress, and the transportation domain may be an underutilized source of physical activity.
Subject(s)
Exercise , Leisure Activities , Adult , Hispanic or Latino , Humans , Nutrition Surveys , Sedentary BehaviorABSTRACT
The U.S. COVID-19 vaccination program began in December 2020, and ensuring equitable COVID-19 vaccine access remains a national priority.* COVID-19 has disproportionately affected racial/ethnic minority groups and those who are economically and socially disadvantaged (1,2). Thus, achieving not just vaccine equality (i.e., similar allocation of vaccine supply proportional to its population across jurisdictions) but equity (i.e., preferential access and administra-tion to those who have been most affected by COVID-19 disease) is an important goal. The CDC social vulnerability index (SVI) uses 15 indicators grouped into four themes that comprise an overall SVI measure, resulting in 20 metrics, each of which has national and state-specific county rankings. The 20 metric-specific rankings were each divided into lowest to highest tertiles to categorize counties as low, moderate, or high social vulnerability counties. These tertiles were combined with vaccine administration data for 49,264,338 U.S. residents in 49 states and the District of Columbia (DC) who received at least one COVID-19 vaccine dose during December 14, 2020-March 1, 2021. Nationally, for the overall SVI measure, vaccination coverage was higher (15.8%) in low social vulnerability counties than in high social vulnerability counties (13.9%), with the largest coverage disparity in the socioeconomic status theme (2.5 percentage points higher coverage in low than in high vulnerability counties). Wide state variations in equity across SVI metrics were found. Whereas in the majority of states, vaccination coverage was higher in low vulnerability counties, some states had equitable coverage at the county level. CDC, state, and local jurisdictions should continue to monitor vaccination coverage by SVI metrics to focus public health interventions to achieve equitable coverage with COVID-19 vaccine.
Subject(s)
COVID-19 Vaccines/administration & dosage , Healthcare Disparities/statistics & numerical data , Residence Characteristics/statistics & numerical data , Vaccination Coverage/statistics & numerical data , Vulnerable Populations , COVID-19/epidemiology , COVID-19/prevention & control , Humans , Immunization Programs , Program Evaluation , Socioeconomic Factors , United States/epidemiologyABSTRACT
In December 2020, two COVID-19 vaccines (Pfizer-BioNTech and Moderna) were authorized for emergency use in the United States for the prevention of coronavirus disease 2019 (COVID-19).* Because of limited initial vaccine supply, the Advisory Committee on Immunization Practices (ACIP) prioritized vaccination of health care personnel and residents and staff members of long-term care facilities (LTCF) during the first phase of the U.S. COVID-19 vaccination program (1). Both vaccines require 2 doses to complete the series. Data on vaccines administered during December 14, 2020-January 14, 2021, and reported to CDC by January 26, 2021, were analyzed to describe demographic characteristics, including sex, age, and race/ethnicity, of persons who received ≥1 dose of COVID-19 vaccine (i.e., initiated vaccination). During this period, 12,928,749 persons in the United States in 64 jurisdictions and five federal entities§ initiated COVID-19 vaccination. Data on sex were reported for 97.0%, age for 99.9%, and race/ethnicity for 51.9% of vaccine recipients. Among persons who received the first vaccine dose and had reported demographic data, 63.0% were women, 55.0% were aged ≥50 years, and 60.4% were non-Hispanic White (White). More complete reporting of race and ethnicity data at the provider and jurisdictional levels is critical to ensure rapid detection of and response to potential disparities in COVID-19 vaccination. As the U.S. COVID-19 vaccination program expands, public health officials should ensure that vaccine is administered efficiently and equitably within each successive vaccination priority category, especially among those at highest risk for infection and severe adverse health outcomes, many of whom are non-Hispanic Black (Black), non-Hispanic American Indian/Alaska Native (AI/AN), and Hispanic persons (2,3).
Subject(s)
COVID-19 Vaccines/administration & dosage , COVID-19/prevention & control , Immunization Programs , Vaccination/statistics & numerical data , Adolescent , Adult , Aged , COVID-19/epidemiology , Ethnicity/statistics & numerical data , Female , Humans , Male , Middle Aged , Program Evaluation , Racial Groups/statistics & numerical data , United States/epidemiology , Young AdultABSTRACT
Active travel to school is one way youths can incorporate physical activity into their daily schedule. It is unclear the extent to which active travel to school is systematically monitored at local, state, or national levels. To determine the scope of active travel to school surveillance in the US and Canada and catalog the types of measures captured, we conducted a systematic review of peer-reviewed literature documenting active travel to school surveillance published from 2004 to February 2018. A study was included if it addressed children's school travel mode across two or more time periods in the US or Canada. Criteria were applied to determine whether a data source was considered an active travel to school surveillance system. We identified 15 unique data sources; 4 of these met our surveillance system criteria. One system is conducted in the US, is nationally representative, and occurs every 5-8 years. Three are conducted in Canada, are limited geographically to regions and provinces, and are administered with greater frequency (e.g., 2-year cycles). School travel mode was the primary measure assessed, most commonly through parent report. None of the systems collected data on school policies or program supports related to active travel to school. We concluded that incorporating questions related to active travel to school behaviors into existing surveillance systems, as well as maintaining them over time, would enable more consistent monitoring. Concurrently capturing behavioral information along with related environmental, policy, and program supports may inform efforts to promote active travel to school.
ABSTRACT
Physical activity occurs in 4 domains (leisure, occupational, household, and transportation), but US surveillance often focuses on leisure-time only. We compared estimates of self-reported leisure-time physical activity and estimates of all-domain activity among adults in the National Health and Nutrition Examination Survey for 2011-2016. During the study period, 38.6% met the aerobic physical activity guideline in leisure-time, 58.5% in leisure-time and occupational/household activity, and 63.7% in all domains. Differences within most subgroups when using all domains were similar to differences when using leisure-time activity only, except that we observed no urban/rural differences in the multidomain assessment. Assessment of multiple domains of activity instead of leisure-time-only activity affects prevalence estimates to a greater extent than it affects subgroup differences.
Subject(s)
Employment/statistics & numerical data , Exercise , Household Work/statistics & numerical data , Leisure Activities , Adult , Aged , Female , Humans , Male , Middle Aged , Nutrition Surveys , United States , Young AdultABSTRACT
As of September 21, 2020, the coronavirus disease 2019 (COVID-19) pandemic had resulted in 6,786,352 cases and 199,024 deaths in the United States.* Health care personnel (HCP) are essential workers at risk for exposure to patients or infectious materials (1). The impact of COVID-19 on U.S. HCP was first described using national case surveillance data in April 2020 (2). Since then, the number of reported HCP with COVID-19 has increased tenfold. This update describes demographic characteristics, underlying medical conditions, hospitalizations, and intensive care unit (ICU) admissions, stratified by vital status, among 100,570 HCP with COVID-19 reported to CDC during February 12-July 16, 2020. HCP occupation type and job setting are newly reported. HCP status was available for 571,708 (22%) of 2,633,585 cases reported to CDC. Most HCP with COVID-19 were female (79%), aged 16-44 years (57%), not hospitalized (92%), and lacked all 10 underlying medical conditions specified on the case report form (56%). Of HCP with COVID-19, 641 died. Compared with nonfatal COVID-19 HCP cases, a higher percentage of fatal cases occurred in males (38% versus 22%), persons aged ≥65 years (44% versus 4%), non-Hispanic Asians (Asians) (20% versus 9%), non-Hispanic Blacks (Blacks) (32% versus 25%), and persons with any of the 10 underlying medical conditions specified on the case report form (92% versus 41%). From a subset of jurisdictions reporting occupation type or job setting for HCP with COVID-19, nurses were the most frequently identified single occupation type (30%), and nursing and residential care facilities were the most common job setting (67%). Ensuring access to personal protective equipment (PPE) and training, and practices such as universal use of face masks at work, wearing masks in the community, and observing social distancing remain critical strategies to protect HCP and those they serve.
Subject(s)
Coronavirus Infections/epidemiology , Health Personnel/statistics & numerical data , Occupational Diseases/epidemiology , Pneumonia, Viral/epidemiology , Population Surveillance , Adolescent , Adult , Aged , COVID-19 , Coronavirus Infections/mortality , Female , Humans , Male , Middle Aged , Occupational Diseases/mortality , Pandemics , Pneumonia, Viral/mortality , Risk Factors , United States/epidemiology , Young AdultABSTRACT
We used 2012-2015 data from the Colorado Pregnancy Risk Assessment Monitoring System to describe changes in self-reported physical activity (PA) before and during pregnancy and used logistic regression to examine factors associated with regular PA. The prevalence of regular PA (ie, 30 or more minutes per day on 5 or more days per week) was 19.1% before pregnancy and decreased to 10.2% during pregnancy. At both times, adjusted odds of regular PA were lower among women who were overweight or had obesity before pregnancy than among those with normal weight. Findings suggest that most women with a recent live birth in Colorado, particularly those who are overweight or have obesity, are not obtaining many health benefits of PA either before or during pregnancy.
Subject(s)
Exercise , Adult , Colorado , Female , Humans , Logistic Models , Obesity/epidemiology , Pregnancy , Pregnancy Complications/epidemiology , Risk Assessment , Self ReportABSTRACT
The updated Physical Activity Guidelines for Americans (2nd edition) removes the requirement that physical activity should occur in bouts lasting 10 minutes or more to count toward the minimum aerobic guideline. Using self-reported data from the 2017 Behavioral Risk Factor Surveillance System (N = 386,960), we examined differences in national physical activity estimates with and without this requirement. Overall, 1.9% of adults reported activities in short bouts (<10 minutes). When excluding short bouts, 29.9% were inactive, 20.7% were insufficiently active, and 49.4% were active. When including short bouts, 29.1% were inactive, 21.4% were insufficiently active, and 49.5% were active. Eliminating the 10-minute-bout requirement had little effect on physical activity estimates.
Subject(s)
Exercise , Guidelines as Topic , Adolescent , Adult , Aged , Behavioral Risk Factor Surveillance System , Female , Humans , Male , Middle Aged , Time Factors , United States , Young AdultABSTRACT
The importance of physical activity and community-level promotion strategies are well established, but little is known about adult perception of the importance of physical activity. In a nationwide sample of US adults, we examined self-reported importance of regular physical activity and the importance of living in walkable neighborhoods. About 55% of adults strongly agreed that regular physical activity is important, 40% strongly agreed that living in a walkable neighborhood is important, and 31% strongly agreed that both are important. Separately for each measure, estimates were lower among adults with lower education levels and who did not meet the aerobic physical activity guideline. Opportunities exist to improve the perception of the importance of physical activity and the importance of walkable neighborhoods.
Subject(s)
Built Environment/psychology , Residence Characteristics , Walking/psychology , Adult , Aged , Cross-Sectional Studies , Female , Humans , Male , Middle Aged , Surveys and Questionnaires , United States , Young AdultABSTRACT
CDC, the Food and Drug Administration, state and local health departments, and other public health and clinical stakeholders are investigating a national outbreak of electronic-cigarette (e-cigarette), or vaping, product use-associated lung injury (EVALI) (1). As of October 22, 2019, 49 states, the District of Columbia (DC), and the U.S. Virgin Islands have reported 1,604 cases of EVALI to CDC, including 34 (2.1%) EVALI-associated deaths in 24 states. Based on data collected as of October 15, 2019, this report updates data on patient characteristics and substances used in e-cigarette, or vaping, products (2) and describes characteristics of EVALI-associated deaths. The median age of EVALI patients who survived was 23 years, and the median age of EVALI patients who died was 45 years. Among 867 (54%) EVALI patients with available data on use of specific e-cigarette, or vaping, products in the 3 months preceding symptom onset, 86% reported any use of tetrahydrocannabinol (THC)-containing products, 64% reported any use of nicotine-containing products, and 52% reported use of both. Exclusive use of THC-containing products was reported by 34% of patients and exclusive use of nicotine-containing products by 11%, and for 2% of patients, no use of either THC- or nicotine-containing products was reported. Among 19 EVALI patients who died and for whom substance use data were available, 84% reported any use of THC-containing products, including 63% who reported exclusive use of THC-containing products; 37% reported any use of nicotine-containing products, including 16% who reported exclusive use of nicotine-containing products. To date, no single compound or ingredient used in e-cigarette, or vaping, products has emerged as the cause of EVALI, and there might be more than one cause. Because most patients reported using THC-containing products before symptom onset, CDC recommends that persons should not use e-cigarette, or vaping, products that contain THC. In addition, because the specific compound or ingredient causing lung injury is not yet known, and while the investigation continues, persons should consider refraining from the use of all e-cigarette, or vaping, products.
Subject(s)
Disease Outbreaks , Electronic Nicotine Delivery Systems , Lung Injury/epidemiology , Vaping/adverse effects , Adolescent , Adult , Aged , Centers for Disease Control and Prevention, U.S. , Dronabinol/toxicity , Female , Humans , Lung Injury/mortality , Male , Middle Aged , United States/epidemiology , Young AdultABSTRACT
CDC, the Food and Drug Administration (FDA), state and local health departments, and public health and clinical stakeholders are investigating a nationwide outbreak of e-cigarette, or vaping, product use-associated lung injury (EVALI) (1). As of November 13, 2019, 49 states, the District of Columbia, and two U.S. territories (Puerto Rico and U.S. Virgin Islands) have reported 2,172 EVALI cases to CDC, including 42 (1.9%) EVALI-associated deaths. To inform EVALI surveillance, including during the 2019-20 influenza season, case report information supplied by states for hospitalized and nonhospitalized patients with EVALI were analyzed using data collected as of November 5, 2019. Among 2,016 EVALI patients with available data on hospitalization status, 1,906 (95%) were hospitalized, and 110 (5%) were not hospitalized. Demographic characteristics of hospitalized and nonhospitalized patients were similar; most were male (68% of hospitalized versus 65% of nonhospitalized patients), and most were aged <35 years (78% of hospitalized versus 74% of nonhospitalized patients). These patients also reported similar use of tetrahydrocannabinol (THC)-containing products (83% of hospitalized versus 84% of nonhospitalized patients). Given the similarity between hospitalized and nonhospitalized EVALI patients, the potential for large numbers of respiratory infections during the emerging 2019-20 influenza season, and the potential difficulty in distinguishing EVALI from respiratory infections, CDC will no longer collect national data on nonhospitalized EVALI patients. Further collection of data on nonhospitalized patients will be at the discretion of individual state, local, and territorial health departments. Candidates for outpatient management of EVALI should have normal oxygen saturation (≥95% while breathing room air), no respiratory distress, no comorbidities that might compromise pulmonary reserve, reliable access to care, strong social support systems, and should be able to ensure follow-up within 24-48 hours of initial evaluation and to seek medical care promptly if respiratory symptoms worsen. Health care providers should emphasize the importance of annual influenza vaccination for all persons aged ≥6 months, including persons who use e-cigarette, or vaping, products (2,3).
Subject(s)
Disease Outbreaks , Hospitalization/statistics & numerical data , Lung Injury/epidemiology , Vaping/adverse effects , Adolescent , Adult , Aged , Centers for Disease Control and Prevention, U.S. , Female , Humans , Lung Injury/therapy , Male , Middle Aged , United States/epidemiology , Young AdultABSTRACT
INTRODUCTION: Cardiovascular disease (CVD) is the leading cause of death in the United States, and increasing physical activity can help prevent and manage disease. Walking is an easy way for most adults to be more active and may help people at risk for CVD avoid inactivity, increase their physical activity levels, and improve their cardiovascular health. To guide efforts that promote walking for CVD prevention and management, we estimated the prevalence of walking among US adults by CVD risk status. METHODS: Nationally representative data on walking from participants (N = 29,742) in the 2015 National Health Interview Survey Cancer Control Supplement were analyzed. We estimated prevalence of walking (ie, any, transportation, and leisure) overall and by CVD status. We defined CVD status as either not having CVD and not at risk for CVD; being at risk for CVD (overweight or having obesity plus 1 or more additional risk factors); or having CVD. We defined additional risk factors as diabetes, high cholesterol, or hypertension. Odds ratios were estimated by using logistic regression models adjusted for respondent characteristics. RESULTS: Prevalence of any walking decreased with increasing CVD risk (no CVD/not at risk, 66.6%; at risk: overweight or has obesity with 1 risk factor, 63.0%; with 2 risk factors, 59.5%; with 3 risk factors, 53.6%; has CVD, 50.2%). After adjusting for respondent characteristics, the odds of any walking and leisure walking decreased with increasing CVD risk. However, CVD risk was not associated with walking for transportation. CONCLUSIONS: Promoting walking may be a way to help adults avoid inactivity and encourage an active lifestyle for CVD prevention and management.