James F. Sallis’s research while affiliated with Australian Catholic University and other places

Background Understanding environmental correlates of sedentary behaviour (SB) among young people is important as such data can identify approaches to limit sedentary time. This paper estimates associations of parent-reported neighbourhood and adolescent-reported home environments with SB among adolescents aged 11–19 years from 14 countries. Methods In the International Physical activity and the Environment Network (IPEN) Adolescent Study (an observational, cross-sectional multi-country study), adolescents wore a triaxial accelerometer for seven days that assessed sedentary time (ST). Adolescents completed survey measures of sedentary behaviour (SB) related to recreational screen time and sitting time in motor vehicles. Parents and adolescents completed surveys assessing neighbourhood and home environments. Accelerometer based ST was available in 3,982 adolescents while survey data were available for 6,302 dyads. We estimated the total and direct effects of each environmental attribute on ST and SB. Sex of the adolescent and city/country were examined as moderators. Results The average ST in adolescents from 14 countries ranged from 7.8 to 10.5 h/day. Personal social media was the only significant correlate of total ST across both sexes. With respect to self-reported SB, adolescents accumulated an average of 3.8 h of non-school screen time per day and nearly 40 min of transport-related sitting time. Screen time was associated with all home environment variables, including social media account, as well as land use mix—diversity, traffic safety, and crime safety. Transport-related sitting time was related to land use mix—diversity, recreation facilities, walking facilities, and pedestrian infrastructure, but no home environment variables. City/country and sex were significant moderators of several associations. Conclusions Both home and neighbourhood environment features were related to ST and SB. Having social media accounts emerged as a major contributor towards sedentarism in adolescents.

In the age of digital healthcare, passively collected physical activity profiles from wearable sensors are a preeminent tool for evaluating health outcomes. In order to fully leverage the vast amounts of data collected through wearable accelerometers, we propose to use quantile functional regression to model activity profiles as distributional outcomes through quantile responses, which can be used to evaluate activity level differences across covariates based on any desired distributional summary. Our proposed framework addresses two key problems not handled in existing distributional regression literature. First, we use spline mixed model formulations in the basis space to model nonparametric effects of continuous predictors on the distributional response. Second, we address the underlying missingness problem that is common in these types of wearable data but typically not addressed. We show that the missingness can induce bias in the subject-specific distributional summaries that leads to biased distributional regression estimates and even bias the frequently used scalar summary measures, and introduce a nonparametric function-on-function modeling approach that adjusts for each subject's missingness profile to address this problem. We evaluate our nonparametric modeling and missing data adjustment using simulation studies based on realistically simulated activity profiles and use it to gain insights into adolescent activity profiles from the Teen Environment and Neighborhood study.

Purpose The current study examined associations of social and built features of neighborhood environments with psychological distress 6 years later and whether these associations were explained by stress and social factors, among Hispanic/Latino adults from the HCHS/SOL and SOL CASAS Ancillary Study. Methods In the SOL CASAS Ancillary Study, HCHS/SOL San Diego participants’ baseline (2008–2011) home addresses were geocoded, neighborhoods were defined using 800 m radial buffers, and variables representing neighborhood socioeconomic deprivation, social disorder, walkability, and greenness were created. Psychological distress (anxiety and depression symptoms) and proposed pathway variables chronic stress, social support, and family cohesion were assessed at HCHS/SOL Visit 2 (2014–2017). Results On average, the population (n = 2785) was 39.47 years old, 53.3% were women, and 92.3% were of Mexican heritage. In complex survey regression analyses that accounted for sociodemographic covariates, the complex sampling design, and sample weights, greater baseline neighborhood socioeconomic deprivation predicted lower family cohesion at Visit 2 (B = -0.99, 95% CI [-1.97, -0.06]). Path models showed indirect associations of baseline neighborhood socioeconomic deprivation with Visit 2 psychological distress through family cohesion (MacKinnon’s 95% CI depression [0.001, 0.026]; 3.9% of the variance accounted for; anxiety [0.00071, 0.019] 3.0% of the variance accounted for). Conclusions Among adults of mostly Mexican heritage from the San Diego, CA area, neighborhood deprivation indirectly predicted later psychological distress through family cohesion. No other effects of neighborhood variables were observed.

Physical inactivity is a leading contributor to increased cardiovascular morbidity and mortality. Almost 500 million new cases of preventable noncommunicable diseases (NCDs) will occur globally between 2020 and 2030 due to physical inactivity, costing just over US$300 billion, or around US$ 27 billion annually (WHO 2022). Active adults can achieve a reduction of up to 35% in risk of death from cardiovascular disease. Physical activity also helps in moderating cardiovascular disease risk factors such as high blood pressure, unhealthy weight and type 2 diabetes. For people with cardiovascular disease, hypertension, type 2 diabetes and many cancers, physical activity is an established and evidence-based part of treatment and management. For children and young people, physical activity affords important health benefits. Physical activity can also achieve important cross-sector goals. Increased walking and cycling can reduce journeys by vehicles, air pollution, and traffic congestion and contribute to increased safety and liveability in cities.

Background Active commuting to school can be a meaningful contributor to overall physical activity in children. To inform better micro-level urban design near schools that can support active commuting to school, there is a need for measures that capture these elements. This paper describes the adaptation of an observational instrument for use in assessing micro-scale environments around urban elementary schools in the United States. Methods The Micro-scale Audit of Pedestrian Streetscapes for Safe Routes to School (MAPS-SRTS) was developed from existing audit instruments not designed for school travel environments and modifications for the MAPS-SRTS instrument include the structure of the audit tool sections, the content, the observation route, and addition of new subscales. Subscales were analyzed for inter-rater reliability in a sample of 36 schools in Austin, TX. To assess reliability for each subscale, one-way random effects single-measure intraclass correlation coefficients (ICC) were used. Results Compared to the 30 original subscales, the adapted MAPS-SRTS included 26 (86.6%) subscales with revised scoring algorithms. Most MAPS-SRTS subscales had acceptable inter-rater reliability, with an ICC of 0.97 for the revised audit tool. Conclusions The MAPS-SRTS audit tool is a reliable instrument for measuring the school travel environment for research and evaluation purposes, such as assessing human-scale determinants of active commuting to school behavior and documenting built environment changes from infrastructure interventions.

Objetivos: Analizar los medios de desplazamiento escolar y las influencias del entorno físico y psicosocial (influencia familiar y otras influencias significativas como la de los iguales) así como la influencia de otros hábitos del estilo de vida (patrones de sueño, horas de pantallas y aspectos nutricionales) en el desplazamiento al/desde el centro educativo de adolescentes de Toledo, Granada, Sevilla y Valencia. El Proyecto PACOyPACA consiste en un estudio transversal. La muestra estuvo formada por estudiantes de 3º de Educación Secundaria Obligatoria (ESO) de 4 ciudades españolas (Toledo, Granada, Valencia y Sevilla) y por sus padres. Para garantizar la representatividad de la muestra, se seleccionaron aleatoriamente centros educativos atendiendo al nivel socioeconómico (NSE) y el índice de “caminabilidad” del vecindario en el que se ubican. El proyecto PACOyPACA servirá para adquirir conciencia sobre el estado actual del desplazamiento activo al centro educativo (DACE) en la adolescencia y los posibles factores que influyen sobre él. Estos conocimientos permitirán una mejor interpretación de la situación actual y será útil para el diseño y creación de estrategias con el fin de fomentar el DACE. Dichas estrategias permitirán la creación de una guía para impulsar iniciativas utilizando el centro educativo como punto clave de la acción.

Study Objectives To test associations between neighborhood social, built, and ambient environment characteristics and multidimensional sleep health in Hispanic/Latino adults. Methods Data were from San Diego-based Hispanic/Latino adults mostly of Mexican heritage enrolled in the Hispanic Community Health Study/Study of Latinos (N=342). Home addresses were geocoded to ascertain neighborhood characteristics of greenness, walkability (density of intersections, retail spaces, and residences), socioeconomic deprivation (e.g., lower income, lower education), social disorder (e.g., vacant buildings, crime), traffic density, and air pollution (PM 2.5) in the Study of Latinos Communities and Surrounding Areas Study. Sleep dimensions of regularity, satisfaction, alertness, timing, efficiency, and duration were measured by self-report or actigraphy approximately 2 years later. Multivariable regression models accounting for study design (stratification and clustering) were used to examine associations of neighborhood variables with individual sleep dimensions and a multidimensional sleep health composite score. Results Neighborhood characteristics were not significantly associated with the multidimensional sleep health composite, and there were few significant associations with individual sleep dimensions. Greater levels of air pollution (B=9.03, 95% CI: 1.16, 16.91) were associated with later sleep midpoint, while greater social disorder (B=-6.90, 95% CI: -13.12, -0.67) was associated with earlier sleep midpoint. Lower walkability was associated with more wake after sleep onset (B=-3.58, 95% CI: -7.07, -0.09). Conclusion Living in neighborhoods with lower walkability and greater air pollution was associated with worse sleep health, but otherwise findings were largely null. Future research should test these hypotheses in settings with greater variability and investigate mechanisms of these associations.

Urban green and blue spaces (UGBS) have the potential to improve public health and wellbeing, address health inequities, and provide co-benefits for the environment, economy, and society. To achieve these ambitions, researchers should engage with communities, practitioners, and policy makers in a virtuous circle of research, policy, implementation, and active citizenship using the principles of co-design, co-implementation, co-evaluation, and co-translation. This Viewpoint provides an integrated perspective on the challenges that hinder the delivery of health-enhancing UGBS and recommendations to address them. Our recommendations include: strengthening the evidence beyond cross-sectional research designs, strengthening the evidence base on UGBS intervention approaches, evaluating the effects on diverse population groups and communities, addressing inequities in the distribution and quality of UGBS, accelerating research on blue space, providing evidence for environmental effects, incorporating co-design approaches, developing innovative modelling methods, fostering whole-system evidence, harnessing political drivers, creating collaborations for sustainable UGBS action, and advancing evidence in low-income and middle-income countries. The full potential of UGBS as public health, social, economic, and environmental assets is yet to be realised. Acting on the research and translation recommendations will aid in addressing these challenges in collaboration with research, policy, practice, and communities.

Most adolescents do not meet physical activity guidelines, so understanding facilitators and barriers is important. This study used surveys and geocoded location data to examine associations of availability of parks and recreation facilities with adolescent-reported participation in organized team sports and physical activity classes. The study was conducted with 928 adolescents aged 12-17 years, plus one parent/caretaker, recruited from two regions of the US. Adolescents’ participation in teams and classes was positively associated with parents’ perceptions of multiple available recreation environments , but not with objectively-measured availability. Having multiple nearby parks and recreation facilities may provide adolescents with more options for participating in organized team sports and activity classes.