Are Recreational Sports a Relic of the Past OR a Solution for the Future?

ABSTRACT: Children's participation in sport is a critical component to their physical and social development and as such, efforts should be made to provide all children with the opportunity to play. In recent years, there has been an observed shift in the focus of youth sports from that of participation for the health benefits of physical activity and fun to that of winning and competing. As a result, there has been a rise in club sports offerings and a subsequent reduction in recreational sports opportunities. This change presents unique challenges to children's access to sport and may not adequately support their overall physical, social, and emotional development. This commentary will discuss the benefits and barriers to increasing recreational sport opportunities using the Social Ecological Model as a framework. It also will propose solutions that can be implemented at the intrapersonal, interpersonal, organizational, community, and public policy levels to revive recreational sports.

Association of Parkinson's disease status with accelerometer-derived physical activity and sedentary behavior in older women: The Women's Health Study (WHS).

Evidence suggests that individuals diagnosed with Parkinson's Disease (PD) spend less time in moderate-to-vigorous intensity physical activity (MVPA) compared to those without PD. However, prior studies primarily included men and did not consider movement across the entire intensity spectrum. To address these gaps, the association of PD status with total volume physical activity and time spent in sedentary, low light-intensity physical activity (LLPA), high light-intensity physical activity (HLPA), and MVPA among older women was examined. This is a cross-sectional analysis of 17,466 ambulatory women enrolled in the Women's Health Study (WHS) with a median (IQR) age of 70 (67-75) years who were asked to wear an accelerometer for 7 days from 2011 to 2015 for the ancillary study. Reported PD status was assessed via annual mail-in questionnaires prior to device wear. Compared to those without PD (n = 16,661), PD (n = 80) was associated with 98,400 fewer vector magnitude (VM) counts per day and with spending an average of 23.2 more minutes per day sedentary and 10.5 more minutes per day in LLPA. Further, PD was associated with spending 6.4 and 27.3 fewer minutes per day in HLPA and MVPA, respectively, compared to women without PD. PD in women is associated with more daily sedentary time and less time spent in health-enhancing physical activity. Prevention strategies to promote physical activity should be emphasized to enhance health and limit progression of disability in women living with PD.

Learning Modality and Quality of Life Among US School-Age Children During the Coronavirus Pandemic.

BACKGROUND: Shifts from in-person learning to virtual and hybrid learning modes in response to the coronavirus pandemic potentially impacted children's physical, emotional, social, and academic development. This study examined the association between virtual, in-person, and hybrid learning modality with parent-reported quality of life among US students (kindergarten-12th) in early 2021. METHODS: Parents reported current learning modality and physical, emotional, social, and school quality of life for children (aged 5-11, n = 1381) and adolescents (aged 12-17, n = 640). Multivariable logistic regression models assessed the odds of impaired quality of life by learning modality. RESULTS: Among children, hybrid and virtual learners had greater odds of impaired quality of life (adjusted odds ratio [aOR] 1.79, 95% confidence interval [CI] 1.22, 2.64 and aOR 1.57, 95% CI 1.17, 2.12, respectively) relative to in-person learners. Among adolescents, virtual learners had greater odds impaired physical (aOR 2.06, 95% CI 1.26, 3.38) and school function (aOR 2.23, 95% CI 1.38, 3.61) relative to in-person learners. CONCLUSIONS: Learning modality was associated with student well-being, and appropriate alternative learning modalities may differ for younger and older students in terms of educational quality and quality of life.

Differences in American adolescent sport participation during the COVID-19 pandemic by learning mode: A national survey.

This study aimed to examine the relation between learning mode with sport participation and compare participation prevalence in different settings by learning mode among United States adolescents during the COVID-19 pandemic. A cross-sectional, national survey was conducted by a market research company (December 2021-January 2022) among parents whose child participated in sports pre-pandemic. Parents were asked about their child's learning mode (in-person, online, hybrid); sports participation (yes/no) during the pandemic; and participation setting (school, community, club/elite). Weighted logistic regression models examined the relation between learning mode with sport participation. Weighted prevalence estimates of participation setting were compared by learning mode. Among youth included in the analysis (n = 500; Meanage = 14.0 years), 71.0% played sports during the pandemic. Learning mode was significantly associated with participating (versus not participating) among adolescents attending school online (aOR = 0.09; 95% CI: 0.04-0.18) and in a hybrid modality (aOR = 0.30; 95% CI: 0.15-0.58) versus those attending in-person. Those attending school online (versus in-person or hybrid) had significantly lower participation prevalence in community, school, and club/elite sports. Findings may reflect parents opting out of in-person activities or schools canceling organized sport opportunities. To inform engagement strategies, research is needed to understand reasons for declined participation and extent to which participation resumed.

Prospective evaluation of 24-hour movement behaviors among adolescents recovering from a sport-related concussion.

This study aimed to describe the 24-hour composition of movement behaviors, including sleep, sedentary behavior, and physical activity (PA), among pediatric sports-related concussion (SRC) patients over their recovery period, assess the association between movement compositions and recovery time, and understand feasibility of 24-hour accelerometry in the study population. A cohort of 50 pediatric SRC patients were asked to wear a wrist-worn accelerometer continuously for the duration of their recovery. Among all enrolled participants, the sample was primarily 14 or 15 years of age (65%), female (55%), and recovered in under 28 days (88%). Accelerometer compliance was moderate; 35 participants (70%) were compliant with the protocol. Compositional analysis was used to address time-use objectives in 33 participants who provided adequate data for inclusion. Overall, participants spent an average of 50% of their 24-hour day sedentary, 33% sleeping, 11% in light intensity PA, and 6% in moderate or vigorous intensity PA. The 24-hour composition of movement behaviors was not associated with recovery time (p = .09-.99). However, the limited sample size may have contributed to null findings. Given recent evidence supporting the effects of sedentary behavior and PA on concussion recovery, future studies should aim to further validate these findings in a larger sample.

Comparison of Prescribed Physical Therapy to a Home Exercise Program for Pediatric Sports-Related Concussion Patients.

The purpose of this retrospective chart review was to compare sports-related concussion (SRC) recovery time in protracted recovery (≥28 days) patients who were prescribed physical therapy (PPT) with those who were only provided a home exercise program (HEP). We hypothesized PPT would be associated with shorter recovery times relative to HEP. Associations were evaluated with multivariable zero-truncated negative binomial regressions. Among the 48 (30.2%) PPT and 111 (69.8%) HEP patients, the majority were female (57.9%), the mean age was 15.3 ± 1.4 (PPT) and 14.2 ± 2.8 (HEP), and time to clinic was a median 6.0 (IQR = 3.0-27.0; PPT) and 7.0 (IQR = 3.0-23.0; HEP) days. After adjusting for demographic (age, sex) and clinical measures (concussion history, convergence, VOMS, PCSS score, and days to clinic), PPT unexpectedly was associated with 1.21 (95% CI: 1.05, 1.41) additional recovery days compared with HEP. One reason for this could be related to patients adhering to the number of a priori prescribed PT sessions which may or may not have aligned with the patient's symptom resolution. Future research should explore this hypothesis while aiming to evaluate the effect of PPT versus HEP using a randomized design. If confirmed, these findings are encouraging for patients who could not otherwise access or afford specialty rehabilitation.

Contributions of Trustworthiness, Health Literacy, and Self-Efficacy in Communicating With COVID-19 Vaccine-Hesitant Audiences: Web-Based Survey Study.

BACKGROUND: Large-scale health communication challenges during the COVID-19 pandemic, such as widespread misinformation and distrust in health care professionals, have influenced reluctance to take the COVID-19 vaccine, also known as vaccine hesitancy. Trust in health professionals, adequate health literacy, and high self-efficacy are key components of actively pursuing preventative and protective health care measures. These factors may be associated with intentions to seek and complete a COVID-19 vaccine dosing. OBJECTIVE: The objective of this analysis was to identify factors associated with COVID-19 vaccine hesitancy. METHODS: In February 2021, US adults (N=5872) responded to a web-based survey on COVID-19 vaccine hesitancy and components of health communication (trust in sources of health information, health literacy, and self-efficacy). Multivariable logistic regression models were used to explore associations between these factors and vaccine hesitancy while adjusting for key demographics. We hypothesized that low levels of trust, health literacy, and self-efficacy would be associated with increased vaccine hesitancy. RESULTS: The adjusted odds of vaccine hesitancy was greater among those who placed little to no trust in health professionals compared to those who held a lot of trust (adjusted odds ratio [AOR] 8.54, 95% CI 6.52-11.19). The odds of vaccine hesitancy was also greater among those who felt frustrated about finding health information compared to those who did not (AOR 2.10, 95% CI 1.62-2.70). Participants who had little to no confidence in receiving health advice or information had greater odds of vaccine hesitancy compared to those who had a lot of confidence (AOR 3.05, 95% CI 2.34-3.97). CONCLUSIONS: This study underscores the importance of trust between health professionals and their patients, and a need for improving health literacy regarding vaccines. Perceptions of mistrust and low levels of health literacy were associated with high levels of vaccine hesitancy, providing empirical support of framing these factors as perceived barriers to vaccine uptake.

Weight status and meeting the physical activity, sleep, and screen-time guidelines among Texas children: results from a population based, cross-sectional analysis.

BACKGROUND: Evidence suggests that the interactive effects of physical activity, screen-time and sleep are stronger than independent effects of these behaviors on pediatric obesity. However, this hypothesis has not been fully examined among samples of young school-aged children. The aim of this study is to determine the association of weight status with meeting the physical activity, screen-time, and sleep guidelines, independently and concurrently, among 2nd grade children. METHODS: The Texas School Physical Activity and Nutrition Project collected parent-reported physical activity, screen-time, and sleep, and measured body height and weight on a statewide representative weighted sample (n = 320,005) of children. Weighted multivariable logistic regressions were used to assess associations of weight status (classified using age- and sex-specific body weight [kg]/height [m]2, based on International Obesity Task Force cutoffs) with meeting the physical activity, screen-time, and sleep guidelines, while controlling for relevant covariates (age, sex, race/ethnicity, comorbidities etc.). RESULTS: A greater proportion of healthy weight children (9.9%) met the physical activity, screen-time, and sleep guidelines concurrently compared to children who are thin (3.3%), or children with overweight (5.7%), obese (3.5%), and morbid obesity (1.0%). Children who were thin (adjusted odds ratio [aOR]:0.40, 95% confidence interval [CI]: 0.10, 1.50), overweight (aOR = 0.75, CI: 0.33, 1.70), obese (aOR = 0.53, CI: 0.15, 1.81), and morbidly obese (aOR = 0.10, CI: 0.02, 0.28) had lower odds of concurrently meeting the guidelines compared to children with healthy weight. CONCLUSIONS: Among this representative sample of Texas children, weight status was associated with meeting physical activity, screen-time, and sleep guidelines. Future studies should aim to evaluate causal relations between these behaviors and weight status.

Machine learning to predict sports-related concussion recovery using clinical data.

OBJECTIVES: Sport-related concussions (SRCs) are a concern for high school athletes. Understanding factors contributing to SRC recovery time may improve clinical management. However, the complexity of the many clinical measures of concussion data precludes many traditional methods. This study aimed to answer the question, what is the utility of modeling clinical concussion data using machine-learning algorithms for predicting SRC recovery time and protracted recovery? METHODS: This was a retrospective case series of participants aged 8 to 18 years with a diagnosis of SRC. A 6-part measure was administered to assess pre-injury risk factors, initial injury severity, and post-concussion symptoms, including the Vestibular Ocular Motor Screening (VOMS) measure, King-Devick Test and C3 Logix Trails Test data. These measures were used to predict recovery time (days from injury to full medical clearance) and binary protracted recovery (recovery time > 21 days) according to several sex-stratified machine-learning models. The ability of the models to discriminate protracted recovery was compared to a human-driven model according to the area under the receiver operating characteristic curve (AUC). RESULTS: For 293 males (mean age 14.0 years) and 362 females (mean age 13.7 years), the median (interquartile range) time to recover from an SRC was 26 (18-39) and 21 (14-31) days, respectively. Among 9 machine-learning models trained, the gradient boosting on decision-tree algorithms achieved the best performance to predict recovery time and protracted recovery in males and females. The models' performance improved when VOMS data were used in conjunction with the King-Devick Test and C3 Logix Trails Test data. For males and females, the AUC was 0.84 and 0.78 versus 0.74 and 0.73, respectively, for statistical models for predicting protracted recovery. CONCLUSIONS: Machine-learning models were able to manage the complexity of the vestibular-ocular motor system data. These results demonstrate the clinical utility of machine-learning models to inform prognostic evaluation for SRC recovery time and protracted recovery.

Exploring Vestibular/Ocular and Cognitive Dysfunction as Prognostic Factors for Protracted Recovery in Sports-Related Concussion Patients Aged 8 to 12 Years.

OBJECTIVE: To explore the prognostic ability of the vestibular/ocular motor screening (VOMS), King-Devick (K-D) Test, and C3 Logix Trails A and B to identify protracted recovery from sports-related concussion (SRC) in patients aged 8 to 12 years. DESIGN: Retrospective cohort analysis. SETTING: Specialty pediatric sports concussion clinic. PARTICIPANTS: A total of 114 youth athletes aged 8 to 12 years who were diagnosed with an SRC within 7 days of injury. INDEPENDENT VARIABLES: A positive screen on the VOMS, K-D, and C3 Logix Trails A and Trails B. Combined positive screens on multiple tests (ie, 2, 3, or all 4 positive screens of 4 possible). MAIN OUTCOME MEASURES: Recovery time in days and protracted recovery (recovery time ≥30-days) were the primary outcomes of interest. RESULTS: A positive VOMS screen was associated with 1.31 greater days to SRC recovery ( P = 0.02) than a negative VOMS screen. The K-D and C3 Logix tests were not significantly associated with recovery time, nor were any combinations of tests ( P > 0.05). The VOMS demonstrated moderate prognostic ability to predict normal recovery (negative predictive value = 80.78% [95% CI = 63.73-90.95]). Overall predictive accuracy of normal versus protracted recovery was strongest when a participant screened positive on all 4 tests (Accuracy = 76.32% [95% CI = 67.45-83.78]). CONCLUSIONS: The VOMS was associated with overall recovery time and proved to be a useful test to identify those who would experience a normal recovery time. Combining the 4 tests improved the prognostic accuracy of the protocol in predicting protracted versus normal recovery. These findings suggest that combining multiple, varied assessments of cognition and vestibular/ocular functions may better explain factors contributing to protracted recovery.

Long-term weight loss success and the health behaviours of adults in the USA: findings from a nationally representative cross-sectional study.

OBJECTIVE: To describe the relationship between long-term weight loss (LTWL) success and lifestyle behaviours among US adults. DESIGN: Serial cross-sectional data from National Health and Nutrition Examination Survey cycles 2007-2014. SETTING AND PARTICIPANTS: Population-based nationally representative sample. The analytic sample included 3040 adults aged 20-64 years who tried to lose weight in the past year. MEASURES: Participants were grouped into five LTWL categories (<5%, 5%-9.9%, 10%-14.9%, 15%-19.9% and ≥20%). Lifestyle-related behaviours included the following: alcohol intake, physical activity, smoking, fast-food consumption, dietary quality (Healthy Eating Index (HEI)) and caloric intake. Multivariable regression was employed adjusting for age, sex, race/ethnicity, marital status, education, household income and size, current body mass index and self-reported health status. RESULTS: Individuals in the 15%-19.9% LTWL group differed significantly from the reference group (<5% LTWL) in their physical activity and dietary quality (HEI) but not caloric intake. Specifically, they had a higher HEI score (ß=3.19; 95% CI 0.39 to 5.99) and were more likely to meet physical activity guidelines (OR=1.99; 95% CI 1.11 to 3.55). In comparison, the ≥20% LTWL group was significantly more likely to smoke (OR=1.63; 95% CI 1.03 to 2.57) and to consume lower daily calories (ß=-202.91; 95% CI -345.57 to -60.25) than the reference group; however, dietary quality and physical activity did not significantly differ. CONCLUSION: Among a national sample of adults, a higher level of LTWL success does not necessarily equate to healthy weight loss behaviours. Future research should attempt to design interventions aimed at facilitating weight loss success while encouraging healthy lifestyle behaviours.

Physical Activity, Sleep, and Sedentary Behavior among Successful Long-Term Weight Loss Maintainers: Findings from a U.S. National Study.

Despite adults' desire to reduce body mass (weight) for numerous health benefits, few are able to successfully lose at least 5% of their starting weight. There is evidence on the independent associations of physical activity, sedentary behaviors, and sleep with weight loss; however, this study provided insight on the combined effects of these behaviors on long-term body weight loss success. Hence, the purpose of this cross-sectional study was to evaluate the joint relations of sleep, physical activity, and sedentary behaviors with successful long-term weight loss. Data are from the 2005-2006 wave of the National Health and Examination Survey (NHANES). Physical activity and sedentary behavior were measured with an accelerometer, whereas sleep time was self-reported. Physical activity and sleep were dichotomized into meeting guidelines (active/not active, ideal sleep/short sleep), and sedentary time was categorized into prolonged sedentary time (4th quartile) compared to low sedentary time (1st-3rd quartiles). The dichotomized behaviors were combined to form 12 unique behavioral combinations. Two-step multivariable regression models were used to determine the associations between the behavioral combinations with (1) long-term weight loss success (≥5% body mass reduction for ≥12-months) and (2) the amount of body mass reduction among those who were successful. After adjustment for relevant factors, there were no significant associations between any of the independent body weight loss behaviors (physical activity, sedentary time, and sleep) and successful long-term weight loss. However, after combining the behaviors, those who were active (≥150 min MVPA weekly), regardless of their sedentary time, were significantly (p < 0.05) more likely to have long-term weight loss success compared to the inactive and sedentary referent group. These results should be confirmed in longitudinal analyses, including investigation of characteristics of waking (type, domain, and context) and sleep (quality metrics) behaviors for their association with long-term weight loss success.

COVID-19 related employment change is associated with increased alcohol consumption during the pandemic.

Introduction: The COVID-19 pandemic has had sweeping impacts on income and employment. Previous research has indicated that loss of employment is associated with mental illness and increased alcohol consumption. However, no studies have explored this relationship in the context of the COVID-19 pandemic in the United States.Objective: The purpose was twofold: (1) Evaluate the association between pandemic-related employment status and alcohol consumption and (2) assess the interacting effect of depression and employment change on alcohol consumption. We hypothesized that (1) employment change would be associated with increased alcohol consumption during the pandemic and (2) the combined effects of depressive symptoms with pandemic-related-employment-change would strengthen the association with alcohol consumption.Methods: A self-report, web-based survey collected information on sociodemographics, COVID-19-related employment impact (e.g., decreased pay, laid off), change in alcohol consumption since the pandemic, reasons for consumption change, and depressive symptoms. Multinomial regression modeling explored the associations between variables.Results: One-third (33%) of participants (n = 2,441; 67% female) reported consuming more alcohol compared to pre-pandemic and 11% reported that COVID-19 had a negative impact on their employment. Participants reported drinking more alcohol due to having more time (28%) or boredom (22%). The adjusted odds of increased alcohol consumption were 47% greater among those who reported negative employment impact compared to those who reported no employment impact (AOR: 1.47, 95% CI: 1.03-2.11); depression did not moderate this relationship.Conclusion: Given the pandemic's far-reaching impact, the potential for alcohol harm is demonstrably great. Mitigating consumption should be considered when addressing loss of employment in this context.

Evaluation of the vestibular and ocular motor screening (VOMS) as a prognostic tool for protracted recovery following paediatric sports-related concussion.

OBJECTIVE: To understand the relationship between initial vestibular and ocular motor screening (VOMS) and recovery time, and the utility of VOMS to screen for protracted recovery in youth/adolescent patients with sport-related concussion (SRC). METHODS: Participants (8-18 years) who were diagnosed with an SRC within 7 days of the injury were administered the VOMS test by certified medical personnel. Recovery time (days) and protracted recovery (>30 days) were the primary outcomes. Multivariable regression models were used to evaluate the association between VOMS symptom provocation and (1) recovery time (days) and (2) protracted recovery. Measures of VOMS validity, predictive ability and receiver operator curves were used to assess VOMS as a prognostic tool to accurately classify a normal/protracted recovery. RESULTS: After adjustment, any symptom provocation across all VOMS domains was associated (p<0.05) with greater recovery time, except the convergence test (p=0.08) in females. All VOMS test thresholds (≥1 to ≥10) in males and (≥1 to ≥5) in females were associated (p<0.05) with recovery time. However, the VOMS test performed poorly among males (receiver operating characteristic (ROC) area=0.66) and failed among females (ROC area=0.56) as a prognostic tool to identify those that will have a normal/protracted recovery. CONCLUSION: In this sample, overall, the VOMS test was associated with recovery time (days); however, the VOMS was not a valid stand-alone prognostic tool to identify a delayed recovery, but may be useful in combination with other concussion symptomology assessments. Future studies should confirm these findings in larger samples while taking into consideration other comorbid factors that may influence recovery time.

Y-PATHS: A Conceptual Framework for Classifying the Timing, How, and Setting of Youth Physical Activity.

BACKGROUND: Multiple models and frameworks exist for the measurement and classification of physical activity in adults that are applied broadly across populations but have limitations when applied to youth. The authors propose a conceptual framework specifically designed for classifying youth physical activity. METHODS: The Youth Physical Activity Timing, How, and Setting (Y-PATHS) framework is a conceptualization of the when (timing), how, and where (setting) of children's and adolescents' physical activity patterns. The authors developed Y-PATHS using the design thinking process, which includes 3 stages: inspiration, ideation, and implementation. RESULTS: The Y-PATHS includes 3 major components (timing, how, and setting) and 13 subcomponents. Timing subcomponents include (1) school days: in-school, (2) school days: out-of-school, and (3) nonschool days. How subcomponents include: (1) functional, (2) transportation, (3) organized, and (4) free play. Setting subcomponents include: (1) natural areas, (2) schools, (3) home, (4) recreational facilities, (5) shops and services, and (6) travel infrastructure. CONCLUSIONS: The Y-PATHS is a comprehensive classification framework that can help researchers, practitioners, and policymakers to better understand youth physical activity. Specifically, Y-PATHS can help to identify the domains of youth physical activity for surveillance and research and to inform the planning/evaluation of more comprehensive physical activity programming.

Changes in intimate partner violence during the early stages of the COVID-19 pandemic in the USA.

The objective of this study is to describe intimate partner violence (IPV) severity and types of victimization during the early states of the COVID19 pandemic. A survey was distributed through social media and email distribution lists. The survey was open for 14 days in April 2020 and 2441 participated. Information on IPV, COVID19-related IPV severity, sociodemographics, and COVID19-related behaviors (eg, job loss) were collected. Regression models were used to evaluate COVID19-related IPV severity across victimization types and sociodemographics. 18% screened positive for IPV. Among the respondents that screened positive, 54% stated the victimization remained the same since the COVID19 outbreak, while 17% stated it worsened and 30% stated it got better. The odds of worsening victimization during the pandemic was significantly higher among physical and sexual violence. While the majority of IPV participants reported victimization to remain the same, sexual and physical violence was exacerbated during the early stages of the pandemic. Addressing victimization during the pandemic (and beyond) must be multi-sectorial.

Longer time spent at home during COVID-19 pandemic is associated with binge drinking among US adults.

Background: The COVID-19 pandemic has introduced and exacerbated stressors (e.g., job loss, poor mental health) for adults across the United States (US) since the first statewide shelter-in-place order on March 19, 2020. Limited research has evaluated if, and how, pandemic-related stressors are associated with changes in alcohol consumption and binge drinking.Objectives: This analysis aims to identify COVID-19-related stressors associated with changes in alcohol consumption and binge drinking since the outbreak of the coronavirus.Methods: Data were collected on sociodemographics, alcohol consumption, and COVID-19-related stressors (household composition, job status, essential worker, stay-at-home duration, and depression) using a web-based, self-report survey to US adults from mid-March to mid-April 2020. Multivariable logistic and multinomial regression models were used to assess associations between COVID-19-related stressors and binge drinking and changes in alcohol consumption. Among 1,982 participants, 69% were female and 31% male.Results: Thirty-four percent of the sample reported binge drinking during the COVID-19 pandemic. More binge drinkers increased alcohol consumption during the pandemic (60%) than non-binge drinkers (28%). After adjusting for sociodemographics, for every 1-week increase in time spent at home during the pandemic, there was 1.19 (95% CI: 1.06-1.34) greater odds of binge drinking. Additionally, binge drinkers with a previous diagnosis of depression and current depression symptoms had greater odds of increased alcohol consumption compared to those reporting no depression (AOR: 1.77, 95% CI: 1.16, 2.73).Conclusion: Specific COVID-19-related stressors are related to alcohol consumption. This highlights the ancillary and unintended effects of the COVID-19 pandemic which could have long-lasting population health consequences.

Transit environments for physical activity: Relationship between micro-scale built environment features surrounding light rail stations and ridership in Houston, Texas.

INTRODUCTION: Health professionals promote transport-related physical activity because travelers oftentimes walk or bike to and from transit stops or stations. Although previous studies have examined the associations between macro-scale built environment features surrounding light rail transit (LRT) stations (e.g., density) and LRT ridership, this study examined the associations between numerous micro-scale features (e.g., street-level noise pollution) and ridership. METHODS: This analysis originated from the Houston Travel-Related Activity in Neighborhoods (TRAIN) Study, a project evaluating how an LRT extension impacted adult physical activity in Houston, Texas. In 2014, researchers used the Analytic Audit Tool to quantify 58 micro-scale built environment features within six categories: Land Use Environment, Transportation Environment, Facilities, Aesthetics, Signage, and Social Environment. Feature data were obtained from 590 street segments within 0.25 miles of 22 LRT stations. For each station, separate composite indices were created per category by averaging the computed feature scores (1-7) within each category, with higher scores signifying more physical activity-promoting features. Station-level LRT ridership data were obtained from monthly ridership reports for the 12 months following station opening. Linear mixed models were constructed to examine the associations of the six built environment categories with ridership, adjusting for season, weekday vs. weekend day, and station as a random intercept. RESULTS: Holding all other variables constant, every one-unit increase in composite index scores for Transportation Environment and Social Environment was associated with an increase in daily ridership by 425 and 488 riders, respectively (p < 0.05). Every one-unit increase in composite index score for Signage was associated with a decrease of 722 riders daily (p < 0.05). The relations of Land Use Environment, Facilities, and Aesthetics with ridership were statistically null (p > 0.05). CONCLUSIONS: Enhancements to the Transportation Environment and Social Environment may slightly increase overall LRT ridership, and consequently, utilitarian physical activity.