An Assessment of State-Level Planning for Physical Activity Promotion in the United States.

The prevalence and attributable risk of disease due to physical inactivity require it to be made a public health priority. Public health planning allows for prioritization and resource allocation, particularly at the state and local levels. The extent to which state planning efforts for physical activity exist in the United States is unknown. The purpose of this paper is to describe the scope in which physical activity is incorporated in state-level public health plans in the United States, with an emphasis on alignment with the national guidelines and the National Physical Activity Plan. A standardized internet search audit was developed and conducted for each of 50 US states and the District of Columbia between May 2017 and January 2018 to determine the prevalence and characteristics of health planning documents that include physical activity. Data abstracted for analysis used a standardized search protocol that included the components of the Physical Activity Guidelines for Americans and the US National Physical Activity Plan. Results found that most states had between 4 and 6 chronic disease prevention and control plans that mention physical activity; however, it was inconsistently aligned with recommendations from both the Guidelines and the National Plan. Only 2 states had stand-alone public health planning documents explicitly dedicated to physical activity promotion. No state planning documents addressed children and adolescents, adults, and older adults simultaneously. To be maximally effective, state public health planning for physical activity should be made a priority and these efforts should align as much as possible with current guidance from the Physical Activity Guidelines for Americans and the US National Physical Activity Plan.

Status and Trends of Physical Activity Surveillance, Policy, and Research in 164 Countries: Findings From the Global Observatory for Physical Activity-GoPA! 2015 and 2020 Surveys.

BACKGROUND: Physical activity (PA) surveillance, policy, and research efforts need to be periodically appraised to gain insight into national and global capacities for PA promotion. The aim of this paper was to assess the status and trends in PA surveillance, policy, and research in 164 countries. METHODS: We used data from the Global Observatory for Physical Activity (GoPA!) 2015 and 2020 surveys. Comprehensive searches were performed for each country to determine the level of development of their PA surveillance, policy, and research, and the findings were verified by the GoPA! Country Contacts. Trends were analyzed based on the data available for both survey years. RESULTS: The global 5-year progress in all 3 indicators was modest, with most countries either improving or staying at the same level. PA surveillance, policy, and research improved or remained at a high level in 48.1%, 40.6%, and 42.1% of the countries, respectively. PA surveillance, policy, and research scores decreased or remained at a low level in 8.3%, 15.8%, and 28.6% of the countries, respectively. The highest capacity for PA promotion was found in Europe, the lowest in Africa and low- and lower-middle-income countries. Although a large percentage of the world's population benefit from at least some PA policy, surveillance, and research efforts in their countries, 49.6 million people are without PA surveillance, 629.4 million people are without PA policy, and 108.7 million live in countries without any PA research output. A total of 6.3 billion people or 88.2% of the world's population live in countries where PA promotion capacity should be significantly improved. CONCLUSION: Despite PA is essential for health, there are large inequalities between countries and world regions in their capacity to promote PA. Coordinated efforts are needed to reduce the inequalities and improve the global capacity for PA promotion.

School-Level Economic Disparities in Police-Reported Crimes and Active Commuting to School.

Perceived safety remains one of the main barriers for children to participate in active commuting to school (ACS). This ecological study examined the associations between the number of police-reported crimes in school neighborhoods and ACS. The percentage of active travel trips was assessed from a teacher tally survey collected from students across 63 elementary schools that were primarily classified as high-poverty (n = 27). Geographic Information System (GIS) was used to create a detailed measure of police-reported crimes during 2018 and neighborhood covariates that occurred within a one-mile Euclidean buffer of the schools. Statistical analyses included linear fixed effects regressions and negative binomial regressions. In fully-adjusted models, reported crime did not exhibit significant associations with ACS. Medium-poverty schools were indirectly associated with ACS when compared to high- and low-poverty schools in all models (p < 0.05). Connectivity and vehicle ownership were also directly associated with ACS (p < 0.05). Low- and medium-poverty schools were indirectly associated with all types of reported crime when compared to high-poverty schools (p < 0.05). Although reported crime was not associated with school-level ACS, differences in ACS and reported crime do exist across school poverty levels, suggesting a need to develop and promote safe and equitable ACS interventions.

School Parks as a Community Health Resource: Use of Joint-Use Parks by Children before and during COVID-19 Pandemic.

Parks are settings for physical activity that can support the physical and mental health of children during the COVID-19 pandemic. We determined the impact of the pandemic on the use of joint-use parks outside of school hours by children in Austin, TX, United States. In autumn of 2019 and autumn of 2020 (i.e., before and during the COVID-19 pandemic), we used an adapted version of the System for Observing Play and Recreation in Communities to observe whether children aged 1-12 participated in physical activity (i.e., sedentary, light and moderate, vigorous) at three parks located at schools serving mostly economically disadvantaged Latinx families. In 2020, we also observed whether children maintained social distance and wore face coverings. Results of negative binomial regression modeling revealed the pandemic was associated with a 46% [95% CI: 20-63%] and 62% [95% CI: 39-76%] decrease in the number of girls and boys at parks, respectively, and a 42% [95% CI: 16-59%] and 60% [95% CI: 36-75%] decrease in the number of girls and boys engaging in physical activity, respectively (p < 0.01). In total, 60.6% of girls and 73.6% of boys were not social distancing, and 91.8% of the time no children wore masks. Interventions should be considered to safely reintroduce children to parks for health benefits during pandemics.

Results of COVID-19 Surveillance in a Large United States Pediatric Healthcare System over One Year.

BACKGROUND: The lack of SARS-CoV-2 antigen surveillance testing in the pediatric population has inhibited accurate infection and hospitalization prevalence estimates. We aim to report the estimated prevalence of and risk factors for COVID-19 infection, hospitalization, and intensive care unit (ICU) admission across the three United States (US) waves in one of the largest pediatric healthcare systems in the nation. METHODS: Retrospective electronic health record (EHR) review of all COVID-19 surveillance data among children aged 0-19 years seeking healthcare at one pediatric healthcare system that serves predominantly Medicaid-dependent families from 1 March 2020 to 31 March 2021. COVID-19 infection status (Y/N), hospital admission (Y/N), and ICU admission (Y/N) are the main outcomes. RESULTS: Of 22,377 children aged ≤ 19 years tested for SARS-CoV-2 infection from March 2020-March 2021, 3126 were positive (14.0%), and out of those positive, 53.7% were hospitalized and 2.9% were admitted to the ICU. Compared to Wave 1 (1 March 2020-31 May 2020), the risk of a positive test increased from 16% (RR 1.16, 95% CI, 1.07-1.26) in Wave 2 (1 June 2020-31 October 2020) to 33% (RR 1.33, 95% CI, 1.23-1.44) in Wave 3 (1 November 2020-31 March 2021). Similarly, compared to Wave 1, the risk for hospitalization increased 86% (RR 1.86, 95% CI, 1.86-2.06) in Wave 2 and 89% in Wave 3 (RR 1.89, 95% CI, 1.70-2.08), and the risk for ICU admission increased from 10% in Wave 2 (RR 1.10, 95% CI, 0.39-3.01) to 310% in Wave 3 (RR 3.10, 95% CI, 1.21-7.80). Children with asthma, depressive disorders, type 1 or 2 diabetes, and anemia were more likely to be hospitalized while children with diabetes, obesity, cardiac malformations, and hypertension were more likely to be admitted to the ICU versus children without these conditions. CONCLUSIONS: Children were cumulatively impacted by the COVID-19 pandemic through the three US waves with more than a third hospitalized in Wave 3. Children with underlying health conditions were particularly at risk for severe illness and should be monitored for any long-term impacts.

In-School, Out-of-School, and Weekend Physical Activity Levels Vary Across Sociodemographic Subgroups of US Adolescents.

BACKGROUND: In response to conflicting findings for activity levels across sociodemographic groups, this study examined differences in adolescents' in-school, out-of-school, and weekend physical activity (PA) by sociodemographic subgroups using representative US data. METHODS: Data were obtained from the Family Life, Activity, Sun, Health, and Eating study. Multiple regression models compared in-school, out-of-school, and weekend PA by gender and race/ethnicity, and examined potential modification of associations by grade (middle vs high school) and socioeconomic status (lower vs higher). RESULTS: Final analytic sample was 1413 adolescents (Mean age = 14.5 y, 51.3% female, 64.5% white). Compared with whites, in-school PA was significantly higher among blacks and those classified as other race/ethnicity for middle school (69.8 and 71.0, respectively, vs 66.4 min/d), and among Hispanics for high school (52.7 vs 48.4 min/d). Hispanics' (vs whites') out-of-school PA was significantly lower for middle school (63.7 vs 66.6 min/d), but higher for high school (54.0 vs 51.8 min/d). In-school PA was significantly higher among adolescents of lower (vs higher) socioeconomic status among males and Hispanics (all Ps < .05). CONCLUSIONS: The relation of race/ethnicity with PA varies by grade and time of day/week. Socioeconomic status findings contradict previously reported findings. Efforts to increase PA based on sociodemographic disparities should consider potential interaction effects.

Effects of trees, gardens, and nature trails on heat index and child health: design and methods of the Green Schoolyards Project.

BACKGROUND: Latinx children in the United States are at high risk for nature-deficit disorder, heat-related illness, and physical inactivity. We developed the Green Schoolyards Project to investigate how green features-trees, gardens, and nature trails-in school parks impact heat index (i.e., air temperature and relative humidity) within parks, and physical activity levels and socioemotional well-being of these children. Herein, we present novel methods for a) observing children's interaction with green features and b) measuring heat index and children's behaviors in a natural setting, and a selection of baseline results. METHODS: During two September weeks (high temperature) and one November week (moderate temperature) in 2019, we examined three joint-use elementary school parks in Central Texas, United States, serving predominantly low-income Latinx families. To develop thermal profiles for each park, we installed 10 air temperature/relative humidity sensors per park, selecting sites based on land cover, land use, and even spatial coverage. We measured green features within a geographic information system. In a cross-sectional study, we used an adapted version of System for Observing Play and Recreation in Communities (SOPARC) to assess children's physical activity levels and interactions with green features. In a cohort study, we equipped 30 3rd and 30 4th grade students per school during recess with accelerometers and Global Positioning System devices, and surveyed these students regarding their connection to nature. Baseline analyses included inverse distance weighting for thermal profiles and summing observed counts of children interacting with trees. RESULTS: In September 2019, average daily heat index ranged 2.0 °F among park sites, and maximum daily heat index ranged from 103.4 °F (air temperature = 33.8 °C; relative humidity = 55.2%) under tree canopy to 114.1 °F (air temperature = 37.9 °C; relative humidity = 45.2%) on an unshaded playground. 10.8% more girls and 25.4% more boys interacted with trees in September than in November. CONCLUSIONS: We found extreme heat conditions at select sites within parks, and children positioning themselves under trees during periods of high heat index. These methods can be used by public health researchers and practitioners to inform the redesign of greenspaces in the face of climate change and health inequities.

Cost-Effectiveness of Improvements to the Built Environment Intended to Increase Physical Activity.

Background: Improving sidewalks may encourage physical activity by providing safe, defined, and connected walking spaces. However, it is unknown if reduced health care expenditures assumed by increased physical activity offset the investment for sidewalk improvements. Methods: This cost-effectiveness analysis of sidewalk improvements in Houston, TX, was among adults enrolled in the Houston Travel-Related Activity in Neighborhoods Study, 2013-2017 . The 1-year change in physical activity was measured using self-report (n = 430) and accelerometry (n = 228) and expressed in metabolic equivalent (MET) hours per year (MET·h·y-1). Cost-effectiveness ratios were calculated by comparing annualized sidewalk improvement costs (per person) with 1-year changes in physical activity. Results: The estimated cost-effectiveness ratio were $0.01 and -$0.46 per MET·h·y-1 for self-reported and accelerometer-derived physical activity, respectively. The cost-effectiveness benchmark was $0.18 (95% confidence interval, $0.06-$0.43) per MET·h·y-1 gained based on the volume of physical activity necessary to avoid health care costs. Conclusions: Improving sidewalks was cost-effective based on self-reported physical activity, but not cost-effective based on accelerometry. Study findings suggest that improving sidewalks may not be a sufficient catalyst for changing total physical activity; however, other benefits of making sidewalks more walkable should be considered when deciding to invest in sidewalk improvements.

Metabolic Syndrome and Cognitive Impairment among High Socioeconomic, Nondemented Older US Adults.

OBJECTIVES: Nondemented cognitive impairment (CI) presents opportunities for early interventions among individuals at risk for dementia. Identification of modifiable determinants is paramount to the development of effective clinical interventions. Metabolic syndrome (MetS) was theorized as a risk factor, but current research yields inconsistent findings. Few studies have examined the association between MetS and CI among US populations, and global results may be ungeneralizable. We investigated the MetS-CI association among high socioeconomic, nondemented older US adults, examining the roles of sociodemographic, clinical, behavioral, and genetic factors. DESIGN: Cross-sectional. SETTING: Cooper Clinic of Dallas, Texas: Cooper Center Longitudinal Study (2009-2017). PARTICIPANTS: A total of 5200 dementia-free older adult Cooper Clinic patients. MEASUREMENTS: CI was detected with a Montreal Cognitive Assessment (MoCA) score lower than 26. MetS was established based on National Cholesterol Education Program Adult Treatment Panel guidelines. Unadjusted and multivariable log-binomial regression were used to assess the MetS-CI association, with modification assessment by age, sex, education, cardiorespiratory fitness (CRF), and apolipoprotein-ε4 carrier status (APOE-ε4). RESULTS: MetS was not associated with CI when adjusting for age, sex, minority status, education, and marital status (prevalence ratio [PR] = 1.09; 95% confidence interval = .97-1.23) or when additionally adjusting for body mass index, CRF, alcohol consumption, current smoking status, and APOE-ε4 (PR = 1.07; 95% confidence interval = .80-1.45). The association was not modified by age, sex, CRF, or APOE-ε4 (P for interaction >.05). CONCLUSION: In contrast with some global and US studies, MetS and CI were not associated among our study population of nondemented older US adults. MetS may not be a suitable intervention target for poor cognitive outcomes among high socioeconomic older US adults, although separate MetS components may have different recommendations. Future studies should explore more diverse older US populations. If replicated, these findings would inform clinical efforts to reduce the burden of poor cognitive outcomes in the United States.

Worldwide use of the first set of physical activity Country Cards: The Global Observatory for Physical Activity - GoPA!

BACKGROUND: The work of The Global Observatory for Physical Activity-GoPA! is the first global effort to compile standardized country-level surveillance, policy and research data for physical activity in order to better understand how countries and regions address promoting physical activity. GoPA! developed standardized country-specific physical activity profiles ("Country Cards") to summarize country-level data through 2013. The aim of this study was to assess use of the Country Cards, identify the factors associated with their use, and develop recommendations for supporting country-level physical activity promotion. METHODS: Cross sectional internet-based survey conducted between August-October 2016. Target study participants were national physical activity leaders and advocates in academia, government and practice from the GoPA! countries, and members of the International Society of Physical Activity and Health. A Country Card use composite score was created based on the diversity and frequency of use. Statistical analyses on the associations between the composite score and respondent characteristics, country characteristics, barriers and opinions were conducted (including descriptive analyses and a logistic regression with robust standard errors). RESULTS: One hundred forty three participants from 68 countries completed the survey. Use of the Country Cards was associated with being part of the GoPA! network, knowing about the Country Cards, and on the stage of country capacity for physical activity promotion. Country Card knowledge varied by country income group, region and the country specific context. More diverse and frequent use of the cards (highest tertile of the composite score for use) was associated with: 1. Being a country contact vs general participant (OR 18.32-95% CI 5.63-59.55, p = 0.002), and 2. Collaborating with a government representative working in NCDs on a monthly or more frequent contact vs less frequent contact (OR 3.39-95% CI 1.00-11.54, P < 0.05). CONCLUSIONS: For the Country Cards to have a broader impact, GoPA! will need to widen its reach beyond the academic sector. With further refinement of the cards, and training in their implementation, they could be an important tool for advancing country capacity for contextually-relevant strategies, actions and timelines for PA promotion.

Intrapersonal and Environmental Correlates of Bicycling in U.S. Adults.

INTRODUCTION: Bicycling is a health-promoting physical activity, but little is known about the factors that influence this behavior in the U.S. The objective of this cross-sectional study was to identify multilevel ecologic correlates of bicycling behaviors in a nationally representative sample of U.S. adults. METHODS: This analysis, conducted in 2016-2017, utilized data from the 2012 National Survey of Bicyclist and Pedestrian Attitudes and Behaviors (n=7,509; N=246,155,593). Weighted logistic regression models were utilized to examine the association between intrapersonal, perceived environment, and objective environment variables and total, recreation, and transportation bicycling. RESULTS: Significant differences were identified when bicyclists were compared with non-bicyclists. Respondents whose most recent ride was for recreation had significantly higher odds of being male, younger, white, and college educated, and significantly lower odds of being retired or a homemaker. Respondents who reported that their most recent ride was for transportation had significantly higher odds of being male, younger, and a student, and had significantly lower odds of being a high school graduate. Transportation riders also had significantly higher odds of perceived presence of a bike lane or path within one-quarter mile of their residence, and living in a more rural area. CONCLUSIONS: In the U.S., recreation bicycling is a choice-based behavior, whereas transportation bicycling may be more influenced by the perceived and objective built environment. Interventions should consider how to make recreation and transportation bicycling more accessible and affordable to all individuals.

Research capacity for childhood obesity prevention in Latin America: an area for growth.

BACKGROUND: The rise of childhood obesity in Latin America calls for research capacity to understand, monitor and implement strategies, policies and programmes to address it. OBJECTIVE: The objective of the study was to assess current research capacity in Latin America related to childhood obesity, nutrition and physical activity. METHODS: We conducted a search of peer-reviewed articles on childhood obesity in Latin America with at least one Latin American author from 2010 to May 2015. We coded 484 published articles for author affiliation, study subjects' nationality, research topic and study design and extracted a series of networks per research topic, study design and collaborating country for each of the countries. RESULTS: Obesity is the most frequently explored topic. Nutrition and obesity are somewhat better developed compared with physical activity and sedentary behaviour. There are numerous observational and cross-sectional studies, indicating either a lack of capacity required for more complex research or the extent of the problem and associated factors is still unknown. The low number of intervention studies and the near absence of policy articles suggest a void in research capacity. CONCLUSION: For childhood obesity, there is a clear need to build research capacity that documents the current state of the problem and design evidence-based prevention and intervention efforts.

Medical cost of type 2 diabetes attributable to physical inactivity in the United States in 2012.

AIMS: Type 2 diabetes has grown to epidemic proportions in the U.S. and physical activity levels in the population continues to remain low, although it is one of the primary preventive strategies for diabetes. The objectives of this study were to estimate the direct medical costs of type 2 diabetes attributable to not meeting physical activity Guidelines and to physical inactivity in the U.S. in 2012. METHODS: This was a cross sectional study that used physical activity prevalence data from the Behavioral Risk Factor Surveillance System to estimate the population attributable risk percentage for type 2 diabetes. These data were combined with the prevalence and cost data of type 2 diabetes to estimate the cost of type 2 diabetes attributable to not meeting physical activity Guidelines and to inactivity in 2012. RESULTS: The cost of type 2 diabetes in the U.S. in 2012, attributable to not meeting physical activity guidelines was estimated to be $18.3 billion, and that attributable to physical inactivity was estimated to be $4.65 billion. Based on sensitivity analyses, these estimates ranged from $10.19 billion to $27.43 billion for not meeting physical activity guidelines and $2.59 billion-$6.98 billion for physical inactivity in the year 2012. CONCLUSIONS: This study shows that billions of dollars could be saved annually just in terms of type 2 diabetes cost in the U.S., if the entire adult population met physical activity guidelines. Physical activity promotion, particularly at the environmental and policy level should be a priority in the population.

The Effect of Light Rail Transit on Physical Activity: Design and Methods of the Travel-Related Activity in Neighborhoods Study.

BACKGROUND: Use of mass transit has been proposed as a way to incorporate regular physical activity into daily life because transit use typically requires additional travel to access and depart the stop or station. If this additional travel is active, a small but potentially important amount of physical activity can be achieved daily. Although prior research has shown that transit use is associated with physical activity, important questions remain unanswered. Utilizing a major expansion of the Houston, TX, USA light-rail system as a natural experiment, the Houston Travel-Related Activity in Neighborhoods (TRAIN) Study was developed to address these unanswered questions. PURPOSE: The purpose of the TRAIN Study is to determine if the development of light-rail lines in Houston, TX, USA will prospectively affect both transit use and physical activity over 4 years. We also aim to understand how contextual effects (i.e., moderators or interaction effects), such as the neighborhood built environment and socioeconomic factors, affect the primary relations under study. METHODS: The TRAIN Study is a longitudinal cohort design, in which participants are recruited at baseline from a 3-mile buffer around each of the three new lines and measured annually four times. Recruitment is accomplished via telephone contact, ads in newspapers and advertising circulars, and targeted community outreach. Data are collected via mail and include questionnaire-assessed factors, such as perceived neighborhood characteristics, attitudes about transportation, demographics, and reported physical activity; a travel diary; and accelerometry. Additionally, field-based neighborhood audits are conducted to capture micro-scale environmental features. To assess macro-scale environmental characteristics, we utilize GIS mapping and spatial analyses. Statistical analyses will be conducted using latent growth curve modeling and discrete choice models, with a focus on identifying moderating factors (i.e., statistical interaction effects). Selection bias will be controlled via propensity score analysis. CONCLUSION: The TRAIN study is a unique opportunity to study how a multi-billion dollar investment in mass transit can simultaneously affect transportation needs and physical activity behavior. This comprehensive evaluation will provide needed evidence for policy makers, and can inform health impact assessments of future transportation projects around the world.

Strategic Priorities for Physical Activity Surveillance in the United States.

PURPOSE: Develop strategic priorities to guide future physical activity surveillance in the United States. METHODS: The Centers for Disease Control and Prevention and the American College of Sports Medicine convened a scientific roundtable of physical activity and measurement experts. Participants summarized the current state of aerobic physical activity surveillance for adults, focusing on practice and research needs in three areas: 1) behavior, 2) human movement, and 3) community supports. Needs and challenges for each area were identified. At the conclusion of the meeting, experts identified one overarching strategy and five strategic priorities to guide future surveillance. RESULTS: The identified overarching strategy was to develop a national plan for physical activity surveillance similar to the U.S. National Physical Activity Plan for promotion. The purpose of the plan would be to enhance coordination and collaboration within and between sectors, such as transportation and public health, and to address specific strategic priorities identified at the roundtable. These strategic priorities were used 1) to identify and prioritize physical activity constructs; 2) to assess the psychometric properties of instruments for physical activity surveillance; 3) to provide training and technical assistance for those collecting, analyzing, or interpreting surveillance data; 4) to explore accessing data from alternative sources; and 5) to improve communication, translation, and dissemination about estimates of physical activity from surveillance systems. CONCLUSION: This roundtable provided strategic priorities for physical activity surveillance in the United States. A first step is to develop a national plan for physical activity surveillance that would provide an operating framework from which to execute these priorities.

Environmental Correlates of Recreational Walking in the Neighborhood.

PURPOSE: To assess environmental correlates of neighborhood recreational walking. DESIGN: The study used a cross-sectional survey. SETTING: The study was conducted in the local community. SUBJECTS: Participants were adults who recently relocated and walk for recreation in their current neighborhood. MEASURES: The outcome measure was participant-reported neighborhood recreational walking in participants' prior neighborhood. Exposure measures were (1) participant-reported social and environmental characteristics of the prior neighborhood and (2) geographic information system-derived environmental characteristics assessed within a buffer around participant's prior address. ANALYSIS: Participants reporting current neighborhood recreational walking (n = 231) were characterized by whether they walked for recreation in their prior neighborhood. Associations between neighborhood characteristics and neighborhood recreational walking were assessed using logistic regression. RESULTS: Neighborhood recreational walking was associated with perceptions of the presence of recreational facilities (odds ratio [OR] = 2.49, 95% confidence interval [CI] = 1.29-4.84), interesting things to see (OR = 2.82, 95% CI = 1.46-5.45), and others being active (OR = 3.56, 95% CI = 1.80-7.05), and was inversely associated with concerns about crime (OR = .40, 95% CI = .20-.77) and traffic (OR = .43, 95% CI = .22-.87). This behavior was associated with objectively measured presence of walking trails (OR = 3.58, 95% CI = 1.07-4.46), percentage of street length with speed limits ≤25 mph (OR = 1.31 for 10% increase, 95% CI = 1.08-1.61), and percentage of tree canopy coverage (OR = 1.55 for 10% increase, 95% CI = 1.12-2.14). CONCLUSION: Recreational walking may be influenced by environmental factors that support a safe, enjoyable, and social experience, attributes that are not necessarily prioritized in transportation walking. Outcome and exposure specificity are important when studying recreational walking.

Sedentary behaviour and physical inactivity assessment in primary care: the Rapid Assessment Disuse Index (RADI) study.

BACKGROUND: The emerging evidence of the effects of sedentary time on health outcomes suggests a need to better measure this exposure. Healthcare settings, however, are not equipped with a tool that can quickly assess the sedentary habits of their patient population. The purpose of this study was to validate a tool for rapidly quantifying and tracking the sedentary time and low levels of daily lifestyle physical activity among primary care patients. METHODS: The study examined the test-retest reliability and validity of the rapid assessment disuse index (RADI) among adult patients from a large primary care clinic. Patients completed RADI (comprised of 3 items: sitting, moving and stair climbing) twice, followed by accelerometer monitoring. Test-retest reliability was computed, and the correlation between survey responses and accelerometry was determined. A receiver operating characteristic curve was constructed and the area under the curve (AUC) was calculated. RESULTS: RADI was temporally stable (intraclass correlation coefficients 0.79), and a higher score was significantly correlated with greater sedentary time (ρ=0.40; p<0.01), fewer sedentary to active transitions (ρ=-0.42; p<0.01), and less light-intensity physical activity (ρ=-0.40; p<0.01). The ability of RADI to detect patients with high levels of sedentary time was fair (AUC=0.72). CONCLUSIONS: This brief assessment tool, designed to quickly identify patients with high levels of sitting and low daily physical activity, exhibits good reliability and moderate validity. RADI can assist in providing recommendations at the point of care pertaining to modifying sedentary behaviour.

'Sedentary behaviour counselling': the next step in lifestyle counselling in primary care; pilot findings from the Rapid Assessment Disuse Index (RADI) study.

BACKGROUND: Accumulating evidence emphasises a relationship between prolonged sitting and increased risk for cardiometabolic disorders and premature death irrespective of the protective effects of physical activity. Primary care physicians have the potential to play a key role in modifying patients' sedentary behaviour alongside physical activity. METHODS: A pilot study examining sedentary behaviour and physical activity counselling in a primary care clinic. A total of 157 patients completed a detailed survey related to lifestyle counselling received from their primary care physician. We analysed these responses to describe counselling practices within the 5A framework, and to examine correlates (ie, patients' demographics, sedentary behaviour and physical activity and clinical variables) related to receiving counselling. RESULTS: A total of 10% received general advice to decrease sitting time, in comparison with 53% receiving general physical activity counselling. None, however, received a written plan pertaining to sedentary behaviour whereas 14% received a written physical activity prescription. Only 2% were provided with specific strategies for sedentary behaviour change in comparison with 10% for physical activity change. Multivariable analysis revealed that patients who were obese were more likely to receive counselling to decrease sitting (OR=7.0; 95% CI 1.4 to 35.2). In comparison, higher odds for receiving physical activity counselling were associated with being younger, aged 40-59 years (OR=2.4; 95% CI 1.1 to 5.4); and being a non-smoker (OR=6.1; 95% CI 1.3 to 28.4). CONCLUSIONS: This study is the first to assess sedentary behaviour counselling practices in primary care and such practices appear to be infrequent. Future research should attempt to establish a 'knowledge base' to inform development of sedentary behaviour interventions, which should be followed by testing feasibility, efficacy, and subsequent effectiveness of these programmes in a clinical setting.