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Objective: The objective of this study is to examine the feasibility of using survey data to identify factors that predict commute mode choice., Design: The study design is cross-sectional., Setting: Survey data from the Finnish Public Sector study (2020) were used., Participants: 42 574 public sector employees, of whom 10 983 were selected for the final sample. These included employees with 5 km or less commuting distances and those working full-time onsite or partly remotely. The mean age was 46 (SD 11) years, and 84% were women., Primary Outcomes: Commute by (1) bike or foot (an active mode) during summer and winter weather and (2) by car (a passive mode) during summer and winter weather., Methods: Using logistic Lasso (least-absolute-shrinkage-and-selection-operator) regression, we developed and tested a prediction model for short commutes of 5 km or less to identify the characteristics of employees most likely to commute actively during summer and winter weather and passively during summer and winter weather., Results: All models had a good predictive ability with a C-index of 0.82, 0.77, 0.72 and 0.71. Cycling and walking during summer weather were predicted by shorter commutes, higher physical activity, lower body mass index (BMI), female sex and higher team psychological safety. Predictors of cycling and walking during winter weather were shorter commute length, higher physical activity, lower BMI and higher age. Commuting by car during summer weather was predicted by longer journey length, higher BMI, lower physical activity, male sex and having children 7-18 years old living at home. Predictors of driving during winter weather were almost identical, but the male sex was replaced by having a spouse., Conclusions: We identified the correlates of active and passive commute choice in different weather conditions with eight variables. This information can be used to develop and target interventions to promote sustainable and healthy commuting modes., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY. Published by BMJ.)

Background: Engaging in active transport will enable individuals across the life course to increase their habitual levels of physical activity. The aim of this study was to engage citizen scientists (CS) to identify factors that influence active transport in their community., Methods: The Our Voice citizen science methodology developed at Stanford University was employed. CS completed a "discovery walk," taking photos of things that help or hinder active transport. Three groups were recruited: children aged 10-12 years (n = 11), adults (n = 12), and older adults >65 years (n = 10). CS rated each photo and provided a narrative explaining their reason for taking the photo. Once all CS in a specific age group had completed the walk, they met for a group discussion. The CS worked together to analyze the data, arranging them into themes and identifying priority actions. Two CS representatives from each age group presented their findings to the local council decision makers., Results: Children highlighted the need for safer crossings, especially from their school to the local park, and suggested zebra crossings as a solution. The adults highlighted that road signs prioritized vehicles, not pedestrians, and requested that this be reversed. Older adults noted that the poor condition of the pavements made it harder for people in wheelchairs to navigate. The CS recommendations have informed the council's walking and cycling network program., Conclusion: Engaging with citizen science provided the community with an opportunity to advocate for meaningful yet realistic improvements in the built environment that could promote neighborhood active transport and physical activity across the lifespan.

Background: Encouraging alternatives to the car such as walking, cycling or public transport is a key cross-sector policy priority to promote population and planetary health. Individual travel choices are shaped by individual and environmental contexts, and changes in these contexts - triggered by key events - can translate to changes in travel mode. Understanding how and why these changes happen can help uncover more generalisable findings to inform future intervention research. This study aimed to identify the mechanisms and contexts facilitating changes in travel mode., Methods: Prospective longitudinal qualitative cohort study utilising semi-structured interviews at baseline (in 2021), three- and six-month follow up. Participants were residents in a new town in Cambridgeshire, UK, where design principles to promote walking, cycling and public transport were used at the planning stage. At each interview, we followed a topic guide asking participants about previous and current travel patterns and future intentions. All interviews were audio recorded and transcribed. Data analysis used the framework approach based on realist evaluation principles identifying the context and mechanisms described by participants as leading to travel behaviour change., Results: We conducted 42 interviews with 16 participants and identified six mechanisms for changes in travel mode. These entailed increasing or reducing access, reliability and financial cost, improving convenience, increasing confidence and raising awareness. Participants described that these led to changes in travel mode in contexts where their existing travel mode had been disrupted, particularly in terms of reducing access or reliability or increasing cost, and where there were suitable alternative travel modes for their journey. Experiences of the new travel mode played a role in future travel intentions., Implications: Applying realist evaluation principles to identify common mechanisms for changes in travel mode has the potential to inform future intervention strategies. Future interventions using mechanisms that reduce access to, reduce reliability of, or increase the financial cost of car use may facilitate modal shift to walking, cycling and public transport when implemented in contexts where alternative travel modes are available and acceptable., (© 2024. The Author(s).)

Background: Active transport- for example walking and bicycling to travel from place to place- may improve physical fitness and health and mitigate climate change if it replaces motorised transport. The aim of this study is to analyse the active transport behaviour of adults living in Germany, to investigate differences among population groups and to determine whether climate protection is a frequent motive for this behaviour., Methods: This study uses self-reported data of 4,971 adults who participated in a national health survey (German Health Update 2021), which was conducted as a telephone survey from July to December 2021. Associations between active transport behaviour and corresponding motives with sociodemographic and health-related variables were analysed using logistic regression models., Results: Of the adult population, 83% use active transport at least once a week. The frequency and duration of walking per week are significantly higher than those for bicycling (walking 214 min/week; bicycling 57 min/week). Those with a lower education level are less likely to practise active transport than those with a higher education level. Furthermore, women are less likely to use a bicycle for transport than men. Among those practising active transport, the most frequently mentioned motive is "is good for health" (84%) followed by "to be physically active" (74%) and "is good for the climate/environment" (68%). Women and frequent bicyclists (at least 4 days/week) mention climate protection as a motive more often than men and those bicycling occasionally., Conclusions: The improvement of active transport, especially among people with lower education and women (for bicycling), may benefit from better insights into motives and barriers. Climate protection is an important motivator for practising active transport within the adult population living in Germany and should therefore have greater emphasis in behavioural change programmes., (© 2024. The Author(s).)

Background: The purpose of this study was to investigate the effects of a walking school bus intervention on children's active commuting to school., Methods: We conducted a randomized controlled trial (RCT) in Houston, Texas (Year 1) and Seattle, Washington (Years 2-4) from 2012 to 2016. The study had a two-arm, cluster randomized design comparing the intervention (walking school bus and education materials) to the control (education materials) over one school year October/November - May/June). Twenty-two schools that served lower income families participated. Outcomes included percentage of days students' active commuting to school (primary, measured via survey) and moderate-to-vigorous physical activity (MVPA, measured via accelerometry). Follow-up took place in May or June. We used linear mixed-effects models to estimate the association between the intervention and outcomes of interest., Results: Total sample was 418 students [M age =9.2 (SD = 0.9) years; 46% female], 197 (47%) in the intervention group. The intervention group showed a significant increase compared with the control group over time in percentage of days active commuting (β = 9.04; 95% CI: 1.10, 16.98; p = 0.015) and MVPA minutes/day (β = 4.31; 95% CI: 0.70, 7.91; p = 0.02)., Conclusions: These findings support implementation of walking school bus programs that are inclusive of school-age children from lower income families to support active commuting to school and improve physical activity., Trail Registration: This RCT is registered at clinicaltrials.gov (NCT01626807)., (© 2024. The Author(s).)

Background: Transportation policies can impact health outcomes while simultaneously promoting social equity and environmental sustainability. We developed an agent-based model (ABM) to simulate the impacts of fare subsidies and congestion taxes on commuter decision-making and travel patterns. We report effects on mode share, travel time and transport-related physical activity (PA), including the variability of effects by socioeconomic strata (SES), and the trade-offs that may need to be considered in the implementation of these policies in a context with high levels of necessity-based physical activity., Methods: The ABM design was informed by local stakeholder engagement. The demographic and spatial characteristics of the in-silico city, and its residents, were informed by local surveys and empirical studies. We used ridership and travel time data from the 2019 Bogotá Household Travel Survey to calibrate and validate the model by SES. We then explored the impacts of fare subsidy and congestion tax policy scenarios., Results: Our model reproduced commuting patterns observed in Bogotá, including substantial necessity-based walking for transportation. At the city-level, congestion taxes fractionally reduced car use, including among mid-to-high SES groups but not among low SES commuters. Neither travel times nor physical activity levels were impacted at the city level or by SES. Comparatively, fare subsidies promoted city-level public transportation (PT) ridership, particularly under a 'free-fare' scenario, largely through reductions in walking trips. 'Free fare' policies also led to a large reduction in very long walking times and an overall reduction in the commuting-based attainment of physical activity guidelines. Differential effects were observed by SES, with free fares promoting PT ridership primarily among low-and-middle SES groups. These shifts to PT reduced median walking times among all SES groups, particularly low-SES groups. Moreover, the proportion of low-to-mid SES commuters meeting weekly physical activity recommendations decreased under the 'freefare' policy, with no change observed among high-SES groups., Conclusions: Transport policies can differentially impact SES-level disparities in necessity-based walking and travel times. Understanding these impacts is critical in shaping transportation policies that balance the dual aims of reducing SES-level disparities in travel time (and time poverty) and the promotion of choice-based physical activity., (© 2024. The Author(s).)

Active mobility, encompassing walking and cycling for transportation, is a potential solution to health issues arising from inadequate physical activity in modern society. However, the extent of active mobility's impact on individual physical activity levels, and its association with health as mediated by physical activities, is not fully quantified. This study aims to clarify the direct relationship between active mobility usage and individual health, as well as the indirect relationship mediated by physical activity, with a focus on varying levels of physical activity intensity. Utilizing data from the 2017 U.S. National Household Travel Survey (NHTS), we employed Poisson regression to predict active mobility usage based on socio-demographic and household socio-economic characteristics. A Structural Equation Model (SEM) was then used to investigate the direct and indirect effects of active mobility on individual health, mediated by physical activity. We further segmented individuals according to their intensity of physical activity to examine how such effect differs between different levels of physical activity. The study demonstrates that active mobility usage positively correlates with both the amount and intensity of physical activity. The effect of active mobility on individual health includes a direct positive effect (29% for intensity, 67.7% for amount) and an indirect effect mediated by physical activity (71% for intensity, 32.3% for amount). Notably, the mediation effect of active mobility on health is more substantial in the context of vigorous physical activities compared to light or moderate activities. Our findings reveal a significant positive influence of active mobility on individual health, encompassing both direct and indirect effects mediated by physical activities. These results quantitatively underscore the health benefits of active mobility and suggest the importance of promoting active mobility as a strategy to improve public health., (Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Objective: The health benefits of active commuting have been reported. However, few studies have assessed commuting modes using objective methods. This study clarified the association between changes in objectively measured commuting modes and body weight among Japanese workers., Methods: This longitudinal study used data from the annual health examinations and personnel records of a company with branches in all prefectures of Japan. Data from 2018 and 2019 were used as the baseline and follow-up data, respectively. The commuting mode was assessed using the commuting mode code included in the personnel records and classified into 3 types: walking, public transport, and car or motorcycle. The participants were classified into 9 categories based on the combination of their commuting modes in 2018 and 2019. Body weight was measured objectively during health examinations. The 1-year changes in body weight were calculated for the 9 categories and assessed using an analysis of covariance with adjustments for covariates., Results: The analysis included 6551 workers (men: 86.8%; mean age: 42.8 years). Overall, body weights tended to increase (+0.40 kg/y). The participants who switched to more active commuting, such as from car or motorcycle to walking (-0.13 kg/y), from car or motorcycle to public transport (+0.10 kg/y), and from public transport to walking (-0.07 kg/y), exhibited small weight gains or losses. A similar trend was observed even after adjustment., Conclusions: Changing to a more active commuting mode may prevent weight gain among workers., (© The Author(s) [2024]. Published by Oxford University Press on behalf of Journal of Occupational Health.)

Background: Active commuting to school (ACS) can be an important source of physical activity for children. Schools are an important setting for policy-related ACS promotion. The purpose of this study was to examine the association between school policies and ACS, and to assess whether this relation varied by grade., Methods: This cross-sectional study used data from schools recruited to the Safe Travel Environment Evaluation in Texas School study (n = 94). The percent of trips made by active travel modes was measured through tallies among third to fifth grade classrooms from 5 school districts in Central Texas in 2018-2019. School ACS policies and practices were measured through 8 survey items aggregated into a score. Linear mixed effects models were used to assess the association between policies and ACS., Results: School health policy surveys and ACS data were collected from 69 elementary schools. An average of 14.6% of trips to/from school was made using active travel modes. Schools with higher numbers of policies had significantly higher percentages of students using active travel modes (P = .03), and for each additional policy, the predicted percentage of trips made by active travel modes was 1.46% higher. There was a significant interaction effect between school policy and grade, with stronger correlations among higher grades (P = .002)., Conclusions: Results from this study demonstrate a correlation between the school policies designed to support walking and biking and ACS. Results from this study can be used to justify the use of school-based policy interventions to promote ACS.

In light of the traffic congestion and traffic environment problems around schools that are caused by students commuting by car, this paper explores an efficient and feasible student commuting travel plan. Based on the ideas of "public-private cooperation" and "parking sharing", combined with the characteristics of the family travel chain during the commuting period, a joint-commuting model of "private car and school bus" is creatively proposed. On the basis of considering the travel cost of parents and the operating cost of school bus, a two-phase commuting travel model for primary and secondary schools is proposed, and an algorithm is designed. The validity of the model is verified by an example and sensitivity analysis. The results show that the total time cost can be reduced by 23.33% when the private-car commuting mode is converted to the joint-commuting model. Among the results, we found that the driving time of a private car in the school commuting phase can be reduced by 23.36%, the dwell time can be reduced by 92.29%, and the driving time in the work and home phase can be reduced by 7.44%. Compared with the school-bus commuting mode, the school-bus time cost of joint commuting can be reduced by 54.88%. In addition, by analyzing the impact of various factors on the objective function and vehicle emissions, it can be seen that staggered commuting to school, regulating regional traffic volume, increasing parking spaces, and improving the utilization of parking spaces can effectively reduce the operating time cost of vehicles and exhaust emissions. The joint-commuting model proposed in this paper considers the balance between service level and resource consumption. While meeting the door-to-door travel needs of students, it can effectively reduce the travel costs of parents and school-bus operation costs, and it can alleviate traffic congestion around schools and reduce the impact on the environment.

Past evaluations of Safe Routes to School (SRTS) programs have been relatively small in scope and have lacked objective measurements of physical activity. A 2016 Mobility Bond in Austin, Texas, USA, allocated USD 27.5 million for infrastructure changes to facilitate active commuting to schools (ACS). The Safe TRavel Environment Evaluation in Texas Schools (STREETS) study aims to determine the health effects of these infrastructure changes. The purpose of this paper is to describe the STREETS study design, methods, and selected baseline results. The STREETS study is comprised of two designs: (1) a serial cross-sectional design to assess changes in ACS prevalence, and (2) a quasi-experimental, prospective cohort to examine changes in physical activity. Differences between study arms (Austin SRTS and comparison) were assessed for school demographics, ACS, and school programs. At baseline, 14.3% of school trips were made by ACS, with non-significant differences between study arms. Only 26% of schools implemented ACS-related programs. Some significant differences across SRTS and comparison schools were identified for several school- and neighborhood-level characteristics. Substantial changes are needed across area schools and neighborhoods to promote optimum ACS. STREETS study longitudinal findings will be critical for informing optimal future implementations of SRTS programs.

Background: Active transportation is a crucial sort of physical activity for developing sustainable environments and provides essential health benefits. This is particularly important in Latin American countries because they present the highest burden of non-communicable diseases relative to other worldwide regions. This study aimed to examine the patterns of active transportation and its association with sociodemographic inequities in Latin American countries., Methods: This cross-sectional study was conducted in eight countries. Participants (n = 8547, 18-65 years) self-reported their active transportation (walking, cycling, and total) using the International Physical Activity Questionnaire. Sex, age, ethnicity, socioeconomic level, education level, public and private transport use, and transport mode were used as sociodemographic inequities., Results: Participants spent a total of 19.9, 3.1, and 23.3 min/day with walking, cycling, and total active transportation, respectively. Mixed and other ethnicity (Asian, Indigenous, Gypsy, and other), high socioeconomic level as well as middle and high education level presented higher walking than Caucasian, low socioeconomic and education level. Private transport mode and use of ≥ 6 days/week of private transport showed lower walking than public transport mode and ≤ 2 days/week of private transport. Use of ≥ 3 days/week of public transport use presented higher walking than ≤ 2 days/week of public transport. Men had higher cycling for active transportation than women. Use of ≥ 3 days/week of public transport use presented higher cycling than ≤ 2 days/week of public transport. ≥6 days/week showed lower cycling than ≤ 2 days/week of private transport use. Men (b: 5.57: 95 %CI: 3.89;7.26), black (3.77: 0.23;7.31), mixed (3.20: 1.39;5.00) and other ethnicity (7.30: 2.55;12.04), had higher total active transportation than women and Caucasian. Private transport mode (-7.03: -11.65;-2.41) and ≥ 6 days/week of private transport use (-4.80: -6.91;-0.31) showed lower total active transportation than public transport mode and ≤ 2 days/week of private transport use. Use of 3-5 (5.10: 1.35;8.85) and ≥ 6 days/week (8.90: 3.07;14.73) of public transport use presented higher total active transportation than ≤ 2 days/week of public transport use. Differences among countries were observed., Conclusions: Sociodemographic inequities are associated differently with active transportation across Latin American countries. Interventions and policies that target the promotion of active policies transportation essential to consider sociodemographic inequities., Trial Registration: ClinicalTrials.Gov NCT02226627. Retrospectively registered on August 27, 2014., (© 2021. The Author(s).)

Aim A request was made to the Department of Public Health in early 2019 for some interesting statistics (funtistics) for a planned health promotion campaign encouraging public transport users to increase their physical activity levels by alighting one stop earlier and walking to their destination. For a novel presentation of the benefits of increasing physical activity it was decided to calculate the potential increase in life-expectancy that a given amount of physical activity would correspond to (at a population level). Method Estimated increase in weekly walking time was calculated for the Dublin Bus commuter walking the last stop of their journey. The reduced risk of mortality was estimated for this increase in physical activity and applied to Irish life tables to calculate change in life expectancy. Results Alighting from a bus one stop earlier in Dublin would lead to an average of 4.42 minutes additional walking (44.21 minutes additional walking per week for a commuter). In the Dublin Bus commuter population, this leads to an estimated 50 day increase in life expectancy (male population). Conclusion At the lower end of the dose response curve for physical activity, health benefits include: reduced risk of cardiovascular disease, reduced risk of diabetes, psychosocial benefit, reduced risk of musculoskeletal problems. For the prevention of weight gain and some cancers, activity at the upper end of the range (1000 MET.min/week, approximately 300 minutes of walking/week) is thought to be required.

Introduction: Active commuting to work is one way people can be physically active and can be influenced by state-level initiatives. The American Community Survey (ACS) is a potential data source to evaluate changes in active commuting at the state level, but state-level changes have not been well documented. We examined state-level changes in estimates of walking, biking, and taking transit to work (combined and separately) among employed persons between 2006 and 2017., Methods: Data were from the ACS, a nationally representative annual household survey from the US Census Bureau. We estimated state-level prevalence of walking, bicycling, or taking transit to work (separately and in combination) in 2006 and 2017 and tested differences by year., Results: The prevalence of active commuting to work varied widely among states (2017 range: 1.7% in Alabama and Mississippi to 35.0% in New York). Changes from 2006 to 2017 also varied, with 8 states exhibiting a significant increase (Massachusetts [2.7 percentage points], New York [2.2], Hawaii [1.6], Illinois [1.3], Washington [1.3], New Jersey [1.2], Virginia [0.9], and Michigan [0.4]), and 12 exhibiting a significant decrease (South Dakota [-1.9], Idaho [-1.3], New Hampshire [-1.3], Wisconsin [-1.1], Maryland [-1.0], Nevada [-0.9], Ohio [-0.8], Mississippi [-0.6], Texas [-0.6], Florida [-0.5], Georgia [-0.4], and Indiana [-0.4]). The contributions of walking, bicycling, and taking transit also varied by state., Conclusion: Active commuting remains relatively rare across states. States pursuing initiatives to support active transportation may consider using ACS to monitor and evaluate changes in active commuting.

The positive health benefits of regular exercise, particularly regarding cardiovascular risk and diseases, are well recognized and scientifically evident. However, a sedentary lifestyle is one of the most important cardiovascular risk factors that are still insufficiently addressed. Leisure-time active commuting like walking and biking is an ideal way to improve exercise behavior in the general population. The purpose of this substudy of the GISMO study was to assess dose-response relations in all commuters and the three subgroups of commuters (physically active by bicycle and/or walking, physically active by using public transportation (PT), and the controls using their own vehicles). As such, a positive dose-response relationship could be confirmed in all physically active commuters compared to the control group. Whether the commuters cycled, walked, or traveled by PT -the more the physical exercise they performed (measured in metabolic equivalent [MET]-hours), the larger their gain in physical fitness (measured in gained or "Delta" Watt during a maximal exercise test), and their physical fitness at the end of the study was P = .016 and P = .003, respectively. Health-related quality of life correlated in two out of eight subdomains of the SF-36 questionnaire with MET-hours achieved during the study period (General Health and Physical Functioning). No clearly significant dose-response could be observed regarding HDL(high-density lipoprotein)-cholesterol or body composition. Our results indicate a dose-response pattern of healthy commuting in exercise capacity and health-related quality of life to increase doses of physically active commuting., (© 2020 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.)

Sedentary lifestyle is a major modifiable risk factor for many chronic diseases. Global guidelines recommend for maintaining health in adults, at least 150 minutes of moderate intensity of physical activity throughout the week, but compliance is insufficient and health problems arise. One obvious way to overcome this is to integrate physical activity into the daily routine for example by active commuting to work. Scientific evidence, however, is scarce and therefore we set out to perform this systematic review of the available literature to improve understanding of the efficiency of active commuting initiatives on health. Literature searches were performed in PubMed and Cochrane database. Altogether, 37 studies were screened. Thereof, eight publications were reviewed, which included 555 participants. The mean study duration of the reviewed research was 36 ± 26 (8-72) weeks. Overall, active commuting in previously untrained subjects of both sexes significantly improved exercise capacity, maximal power, blood pressure, lipid parameters including cholesterol, high-density lipoprotein, and waist circumference. Improvement was independent of the type of active commuting. Despite relatively few studies that were previously performed, this review revealed that active commuting has health beneficial effects comparable to those of moderate exercise training., (© 2020 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.)

Increased physical activity is associated with numerous health benefits. This study investigated the effect of active commuting (walking and cycling to work) on health-related quality of life (HRQoL) and absence days from work due to sickness in healthy working adults. In total, 73 participants (age: 46 ± 9 years), all working at a tertiary university hospital in Salzburg, Austria, were randomized into an intervention group (IG, n = 51) and a control group (CG, n = 22). The IG was asked to commute actively for twelve months, whereas the CG did not have to change their usual commuting behavior. IG was divided into two subgroups: IG-C (cycling, n = 26) was asked to commute by bicycle and IG-PT (public transport, n = 25) partially using public transportation and walked the remaining distance to work. Significant positive changes in IG were observed in four subcomponents of the SF-36 (physical functioning (95 [10] to 100 [8.8], P = .023), mental health (82 [15] to 86 [15], P = .036), vitality (65 [20] to 70 [14], P = .005), and general health (70 [19] to 80 [24], P = .004)) as well as the physical component summary score (56.5 [9] to 59.2 [6.3], P = .002). IG-C showed greater and more statistically significant changes regarding HRQoL compared to IG-PT. Associations between active commuting and sick-leave days were only observed in IG-PT (7.5 [14.8] to 4.0 [11.3] days, P = .038). In conclusion, active commuting improves various components of HRQoL and might therefore be a possible strategy to increase quality of life in the workforce., (© 2020 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.)

Active commuting has the potential to decrease cardiovascular risk by increasing physical activity. We aimed to investigate the effects of active commuting to work for 12 months on body composition and cardiovascular risk factors. Therefore, 73 hospital employees (age: 46 ± 9 years, 36% males), with a predominantly passive way of commuting, were randomly assigned to an intervention group (IG) and a control group (CG) in a 2:1 fashion. The IG was further divided into a public transportation plus active commuting group (IG-PT) and a cycling group (IG-C). Both IGs were prompted to reach 150 min/wk of moderate intensity exercise. Daily self-reported commuting details were verified by GPS tracking. All subjects underwent assessment of body composition, resting blood pressure, glycemic control, and lipid profile at the beginning and end of the study. Data for final analyses were available in 62 subjects. Commuting details indicated that the subjects randomized to IG changed their commuting habits. HbA1c decreased by 0.2% [95%CI: -0.3, -0.2] in IG-PT but was not statistically different between groups (P = .06). LDL cholesterol decreased in IG-C by 0.8 mmol/L [-1.1, -0.4] and by 0.6 mmol/L [-1.2, 0.1] in IG-PT which can be considered biologically relevant but did not yield statistical significance. Body composition and blood pressure did not differ between groups. Active commuting to work for 12 months did not change body composition but yielded relevant changes in lipid profile and glycemic control. Health benefits of active commuting should be addressed by healthcare professionals when counseling individuals that seek to improve their cardiovascular risk profile., (© 2020 The Authors. Scandinavian Journal of Medicine & Science In Sports published by John Wiley & Sons Ltd.)

A sedentary lifestyle is a major modifiable risk factor for many chronic diseases. Lifestyle modification in order to increase exercise capacity is key in the prevention and rehabilitation of chronic diseases. This could be achieved by active commute. The aim of this study was to assess the effects of daily active commuting on physical activity (PA) and exercise capacity. Seventy-three healthy hospital employees (age: 46 ± 9 years, 38% male), with a predominantly passive way of commuting, were randomly assigned to two parallel groups, a control group (CG, N = 22) or an intervention group (IG, N = 51), which was further split into public transportation/active commuting (IG-PT, N = 25) and cycling (IG-C, N = 26). Both intervention groups were asked to reach 150 min/wk of moderate- to vigorous-intensity exercise during their commute for 1 year. CG maintained a passive commuting mode. All participants underwent assessment of anthropometry, risk factor stratification, and exercise capacity by a medical doctor at the Institute of Sports Medicine, Prevention and Rehabilitation. Weekly physical activity, using the International Physical Activity Questionnaire and commuting behavior, using an online diary, were used to assess physical activity. At the end of the study, the change in exercise capacity did significantly differ between IG and CG (P = .003, ES = 0.82). Actively covered distances through commuting significantly differed between groups (walking P = .026; cycling P < .001). Therefore, active commuting improves exercise capacity and can be recommended to the working population to increase exercise capacity., (© 2020 The Authors. Scandinavian Journal of Medicine & Science In Sports published by John Wiley & Sons Ltd.)

Access to workplace showers and change rooms (WS/CR) has been found to be associated with active commuting (AC). Yet it is unclear whether this extends to older workers. We examined the association between WS/CR and AC (walking, cycling) comparing older and younger workers. Data came from 53,294 respondents to the 2007-2008 Canadian Community Health Survey. Associations between WS/CR and walking and cycling were analyzed for main effects and by age and sex using logistic regression. Compared with younger ages, workers 50 to 75 years old were more likely to cycle to work if WS/CR were available (odds ratio [OR] = 1.71, 95% confidence interval [CI] = [1.13, 2.58]), though the overall and sex-related associations between WS/CR and AC were nonsignificant. WS/CR may be a promising strategy to promote AC particularly among older workers. With large numbers of middle- and older-aged adults working longer, the implications of AC for sustaining good health may be considerable.

Introduction: Active commuting to school could help increasing physical activity levels among adolescents. However, there is limited understanding on how the relationship between the environment in school surroundings, as well the distance to school, could affect this behavior., Aim: To analyze the characteristics of the environment and distance between house and school with objective measures and their association with active commuting between adolescents of Curitiba, Brazil., Methods: 493 adolescents were interviewed and 124 schools evaluated. The study variables included the schools' surroundings accessibility characteristics obtained through systematic observation, and the distance between home to school was determined through Geographic Information Systems (GIS) data., Results: The presence of "safety signs" was inversely associated with active commuting (PR = 0.78; 95%CI 0.67-0.91; p = 0.003), as well distance 1,501-3,000 m (PR = 0.53; 95%CI 0.40 - 0.71; p < 0.001) and ≥ 3,501 m (PR 0.29; 95%CI 0.18 - 0.45; p < 0.001). Overall, schools' surroundings showed walking friendly characteristics., Conclusion: Traffic safety and distance to school were associated with active commuting to school among the study participants. Policies aiming at integrating access to school and traffic safety could help to promoting active commuting among adolescents.

Objectives: We aimed to systematically review parental barriers towards children and adolescents' active transport to school (ATS) in the scientific literature and to provide a categorization of the barriers identified in the studies., Methods: A search was conducted through seven online databases, from the beginning of the database to March 2018., Results: A total of 27 of the identified studies met the inclusion criteria. The main parental barriers reported by parents of children (21 studies) were built environment, traffic safety, distance, crime-related safety and social support. The main parental barriers reported by parents of adolescents (6 studies) were built environment (street connectivity), distance, traffic safety and physical and motivation barriers. The parental barriers associated with ATS were mainly related to the built environment and traffic safety., Conclusions: It is crucial to involve parents through interventions to reduce the perception of safety and to increase awareness of the importance of ATS. In addition, these strategies should be complemented by environmental changes performed by local governments.

Purpose of Review: To review the literature on built environment interventions to increase active travel, focusing on work since 2000 and on methodological choices and challenges affecting studies., Recent Findings: Increasingly, there is evidence that built environment interventions can lead to more walking or cycling. Evidence is stronger for cycling than for walking interventions, and there is a relative lack of evidence around differential impacts of interventions. Some of the evidence remains methodologically weak, with much work in the 'grey' literature. While evidence in the area continues to grow, data gaps remain. Greater use of quasi-experimental techniques, improvements in routine monitoring of smaller schemes, and the use of new big data sources are promising. More qualitative research could help develop a more sophisticated understanding of behaviour change.

Background: The heart rate method, based on the linear relation between heart rate and oxygen uptake, is potentially valuable to monitor intensity levels of physical activities. However, this depends not least on its reproducibility under standard conditions. This study aims, therefore, to evaluate the reproducibility of the heart rate method in the laboratory using a range of heart rates associated with walking commuting., Methods: On two different days, heart rate and oxygen uptake measurements were made during three submaximal (model 1) and a maximal exercise intensity (model 2) on a cycle ergometer in the laboratory. 14 habitual walking commuters participated. The reproducibility, based on the regression equations from test and retest and using three levels of heart rate from the walking commuting, was analyzed. Differences between the two models were also analyzed., Results: For both models, there were no significant differences between test and retest in the constituents of the regression equations (y intercept, slope and r value). Neither were there any systematic differences in estimated absolute levels of VO 2 between test and retest for either model. However, some rather large individual differences were seen in both models. Furthermore, no significant differences were seen between the two models in slopes, intercepts and r values of the regression equations or in the estimated VO 2 ., Conclusion: The heart rate method shows good reproducibility on the group level in estimating oxygen consumption from heart rate-oxygen uptake relations in the laboratory, and based on three levels of heart rate which are representative for walking commuting.

Older adults' out-of-home behaviors (OOHBs) are critical for maintaining health and quality of life. Taking Singapore's Yuhua East as a case, this study applied a qualitative approach to explore what neighborhood environmental factors influence older adults' OOHBs. Twelve older adults were recruited for walk-along interviews through the use of purposeful convenience sampling. A content analysis was conducted using NVivo 11 via an inductive approach. Research results revealed 12 categories of environmental factors that affected older adults' OOHBs: access to facilities (shops and services, public transit, and connectivity), pedestrian infrastructure (sidewalk quality, sheltered walkways, universal design, crossings, benches, and public toilets), aesthetics (natural elements, buildings, noise, and cleanliness), traffic safety (behavior of other road users and road width), safety from crime, wayfinding, familiarity (long-term residency and routine activities), weather, social contact, high-rise, high-density (lifts, population density, flat size, and privacy), affordability (shops and services, as well as transportation), and maintenance and upgrading. This analysis concluded that access to facilities and pedestrian infrastructure are important for older adults' OOHBs. Considering Singapore's weather, sheltered walkways, the proximity of facilities and connectivity should be given serious emphasis. In addition to physical factors, social contacts and the affordability of shops and services are also important.

Background: The walking school bus (WSB) is a promising intervention to increase walking to school and physical activity in school-age children. The aim of this qualitative study was to assess parent perceptions of a WSB program that was part of a randomized controlled trial to inform future programs., Methods: The authors interviewed 45 parents whose children had participated in a WSB program in the Seattle area, in which third- and fifth-grade students walked to/from school with adult chaperones along a set route. The authors performed a qualitative analysis of the interview transcripts and coded interview segments into 4 broad categories as follows: facilitators, barriers, general positive sentiments, and proposals., Results: Most parents spoke of the benefits of the WSB program; in particular, parents frequently applauded exercise/physical health benefits. Of the barriers, the most frequently cited was time, with work schedule and commute changes leading some families to walk less frequently., Conclusions: Most parents voiced support for the WSB program as a means to improve child health, to learn pedestrian safety, and to interact with positive adult role models. Parents made several suggestions to improve the program, including better recruitment methods, logistical improvements, and a platform for communicating with other parents.

Background: Given the high global prevalence of physical inactivity, there is a need to design cities that support active modes of transportation. High density diverse neighborhoods with good access networks have been associated with enhanced walking and cycling, but there is a lack of large-scale longitudinal studies utilizing a life course perspective to model residential relocation trajectories. The objectives of the present longitudinal study were to model and visualize residential relocation trajectories between 31 and 46 years of age based on neighborhood density, mixed land use and access networks (DMA), and to assess neighborhood DMA as a predictor of self-reported regular walking and cycling and objectively measured physical activity., Methods: Based on data from the Northern Finland Birth Cohort 1966 (N = 5947), we used self-reported regular walking and cycling and objectively measured physical activity as outcome variables and objectively assessed neighborhood DMA as the main explanatory variable. We conducted sequence analysis to model residential relocation trajectories, and generalized linear mixed models and Fisher's exact test were used to explore longitudinal associations between neighborhood DMA and physical activity., Results: Over 80% of the participants lived in a neighborhood with the same level of neighborhood DMA during the follow-up. Relocation occurred more often from higher to lower DMA neighborhoods than reverse. Increased neighborhood DMA was associated with increased regular walking (OR 1.03; 95% CI: 1.00, 1.05; p = 0.023) and cycling (OR 1.17; 95% CI: 1.12, 1.23; p <  0.001). Residential relocation trajectory from lower to highest neighborhood DMA increased the odds of starting regular walking (OR 3.15; 95% CI: 1.50, 7.14; p = 0.001) and cycling (OR 2.63; 95% CI: 1.23, 5.79; p = 0.009) as compared to higher to lower neighborhood DMA trajectory., Conclusions: The results strongly support the hypothesis that increasing urban DMA can enhance regular walking and cycling at population level and so improve public health. The findings have implications for zoning and transportation policies, favoring the creation of dense and diverse neighborhoods with good access networks to support regular walking and cycling.

Background Active commuting is related to a higher level of physical activity but more exposure to ambient air pollutants. With the rather serious air pollution in urban China, we aimed to examine the association between active commuting and risk of incident cardiovascular disease in the Chinese population. Methods and Results A total of 104 170 urban commuters without major chronic diseases at baseline were included from China Kadoorie Biobank. Self-reported commuting mode was defined as nonactive commuting, work at home or near home, walking, and cycling. Multivariable Cox regression was used to examine associations between commuting mode and cardiovascular disease. Overall, 47.2% of the participants reported nonactive commuting, 13.4% reported work at home or work near home, 20.1% reported walking, and 19.4% reported cycling. During a median follow-up of 10 years, we identified 5374 incidents of ischemic heart disease, 664 events of hemorrhagic stroke, and 4834 events of ischemic stroke. After adjusting for sex, socioeconomic status, lifestyle factors, sedentary time, body mass index, comorbidities, household air pollution, passive smoking, and other domain physical activity, walking (hazard ratio, 0.90; 95% CI, 0.84-0.96) and cycling (hazard ratio, 0.81; 95% CI, 0.74-0.88) were associated with a lower risk of ischemic heart disease than nonactive commuting. Cycling was associated with a lower risk of ischemic stroke (hazard ratio, 0.92; 95% CI, 0.84-1.00). No significant association was found of walking or cycling with hemorrhagic stroke. The associations of commuting mode with major cardiovascular disease were consistent among men and women and across different levels of other domain physical activity. Conclusions In urban China, cycling was associated with a lower risk of ischemic heart disease and ischemic stroke. Walking was associated with a lower risk of ischemic heart disease.

Active commuting to school has health implications for young people. Previous research has shown the need to consistently define the concept of "active commuter", given that assessment as well as comparison between studies may be hindered by current discrepancies in frequency criteria. Using a sample of 158 Spanish students (12th-13th grade, 60.8% girls), the current study aimed to compare several cut-off criteria to rigorously identify the frequency of weekly active trips to school in order to categorize adolescents as active or passive commuters, and to analyze whether the threshold living distance to school is associated with the different trip cut-off criteria. Percentages of active commuters ranged from 75% to 88.6%, varying significantly depending on the cut-off criteria (5-10 active trips/week) used. The results also support the need to be stricter in the selection of a cut-off criterion when the distance to the school becomes shorter. Our findings highlight the importance of following a standard criterion to classify individuals as active or passive commuters, considering the characteristics of the context in which each study is conducted.

Background: Policymakers need accurate data to develop efficient interventions to promote transport physical activity. Given the imprecise assessment of physical activity in trips, our aim was to illustrate novel advances in the measurement of walking in trips, including in trips incorporating non-walking modes., Methods: We used data of 285 participants (RECORD MultiSensor Study, 2013-2015, Paris region) who carried GPS receivers and accelerometers over 7 days and underwent a phone-administered web mobility survey on the basis of algorithm-processed GPS data. With this mobility survey, we decomposed trips into unimodal trip stages with their start/end times, validated information on travel modes, and manually complemented and cleaned GPS tracks. This strategy enabled to quantify walking in trips with different modes with two alternative metrics: distance walked and accelerometry-derived number of steps taken., Results: Compared with GPS-based mobility survey data, algorithm-only processed GPS data indicated that the median distance covered by participants per day was 25.3 km (rather than 23.4 km); correctly identified transport time vs. time at visited places in 72.7% of time; and correctly identified the transport mode in 67% of time (and only in 55% of time for public transport). The 285 participants provided data for 8983 trips (21,163 segments of observation). Participants spent a median of 7.0% of their total time in trips. The median distance walked per trip was 0.40 km for entirely walked trips and 0.85 km for public transport trips (the median number of accelerometer steps were 425 and 1352 in the corresponding trips). Overall, 33.8% of the total distance walked in trips and 37.3% of the accelerometer steps in trips were accumulated during public transport trips. Residents of the far suburbs cumulated a 1.7 times lower distance walked per day and a 1.6 times lower number of steps during trips per 8 h of wear time than residents of the Paris core city., Conclusions: Our approach complementing GPS and accelerometer tracking with a GPS-based mobility survey substantially improved transport mode detection. Our findings suggest that promoting public transport use should be one of the cornerstones of policies to promote physical activity.

Background: Local health departments (LHDs) are increasingly involved in Community Health Improvement Plans (CHIPs), a collaborative planning process that represents an opportunity for prioritizing physical activity. We determined the proportion of LHDs reporting active transportation strategies in CHIPs and associations between LHD characteristics and such strategies., Methods: A national probability survey of US LHDs (<500,000 residents; 30.2% response rate) was conducted in 2017 (n = 162). LHDs reported the inclusion of 8 active transportation strategies in a CHIP. We calculated the proportion of LHDs reporting each strategy. Multivariate logistic regression models determined the associations between LHD characteristics and inclusion of strategies in a CHIP. Inverse probability weights were applied for each stratum., Results: 45.6% of US LHDs reported participating in a CHIP with ≥1 active transportation strategy. Proportions for specific strategies ranged from 22.3% (Safe Routes to School) to 4.1% (Transit-Oriented Development). Achieving national accreditation (odds ratio [OR] = 3.67; 95% confidence interval [CI], 1.11-12.05), pursuing accreditation (OR = 3.40; 95% CI, 1.25-9.22), using credible resources (OR = 5.25; 95% CI, 1.77-15.56), and collaborating on a Community Health Assessment (OR = 4.48; 95% CI, 1.23-16.29) were associated with including a strategy in a CHIP after adjusting for covariates., Conclusions: CHIPs are untapped tools, but national accreditation, using credible resources, and Community Health Assessment collaboration may support strategic planning efforts to improve physical activity.

Background: There have been mixed findings regarding the relationship between walkability and level of physical activity in adults., Methods: Participants from The REasons for Geographic and Racial Differences in Stroke (REGARDS) national cohort (N=7561) were used to examine the association between Walk Score and physical activity measured via accelerometry. The subsample included geographically diverse adults, who identified as black or white, and were over the age of 45. Linear regression was used to examine the direct effects, as well as the interaction, of Walk Score by sex, age and race., Results: The majority of participants lived in a 'Very Car-Dependent' location (N=4115). Only 527 lived in a location that was 'Very Walkable/Walker's Paradise'. Living in a location with a Walk Score of 'Very Car-Dependent' compared with 'Very Walkable/Walker's Paradise' was associated with 19% (0.81; 95% CI 0.73 to 0.90) lower predicted minutes of moderate to vigorous physical activity per day, after adjustment for covariates. There was no evidence of statistically significant interactions between Walk Score and sex, age or race (p>0.05)., Conclusion: Accumulated daily time in moderate to vigorous physical activity was higher for participants living in neighbourhoods designated as 'Very Walkable/Walker's Paradise'. This effect was not moderated by sex, age or race of participants., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Background: Opportunities for working adults to accumulate recommended physical activity levels (at least 150 min of moderate intensity physical activity in bouts of at least 10 min throughout the week) may include the commute to work. Systematic reviews of interventions to increase active transport suggest studies have tended to be of poor quality, relying on self-report and lacking robust statistical analyses., Methods: We conducted a multi-centre parallel-arm cluster randomised controlled trial, in workplaces in south-west England and south Wales, to assess the effectiveness of a behavioural intervention to increase walking during the commute. Workplace-based Walk to Work promoters were trained to implement a 10-week intervention incorporating key behavioural change techniques: providing information; encouraging intention formation; identifying barriers and solutions; goal setting; self-monitoring; providing general encouragement; identifying social support; reviewing goals, and; relapse prevention. Physical activity outcomes were objectively measured using accelerometers and GPS receivers at baseline and 12-month follow-up. The primary outcome was daily minutes of moderate to vigorous physical activity (MVPA). Secondary outcomes included overall levels of physical activity and modal shift (from private car to walking). Cost-consequences analysis included employer, employee and health service costs and outcomes., Results: Six hundred fifty-four participants were recruited across 87 workplaces: 10 micro (5-9 employees); 35 small (10-49); 22 medium (50-250); 20 large (250+). The majority of participants lived more than two kilometres from their place of work (89%) and travelled to work by car (65%). At 12-month follow-up, 84 workplaces (41 intervention, 43 control) and 477 employees (73% of those originally recruited) took part in data collection activities. There was no evidence of an intervention effect on MVPA or overall physical activity at 12-month follow-up. The intervention cost on average £181.97 per workplace and £24.19 per participating employee., Conclusions: The intervention, focusing primarily on individual behaviour change, was insufficient to change travel behaviour. Our findings contribute to the argument that attention should be directed towards a whole systems approach, focusing on interactions between the correlates of travel behaviour., Trial Registration: ISRCTN15009100 . Prospectively registered. (Date assigned: 10/12/2014).

Objectives: Studies have investigated the influence of neighbourhood walkability on residents' walking behaviour, aiming to increase physical activity and reduce dependence on automobiles. Previous research, however, has not considered how the amount of time spent in the residential neighbourhood may modify this relationship. Our objective was to determine how time spent in the residential neighbourhood affects the relationship between neighbourhood walkability and walking for transport., Design: Using a cross-sectional sample of 2411 adults, we analysed the association between walkability (an index combining land-use mix, dwelling density and street connectivity) and transport-related walking (controlling for the effects of gender, age, income, self-rated health and regular access to private transport) testing for interactions by time spent in the neighbourhood., Primary Outcome Measure: Minutes spent walking for transport per week., Setting: Toronto, Canada., Participants: Participants were aged 25 to 65. The survey had a 72% response rate., Results: After adjusting for potential confounders, the walkability index was weakly associated with walking (1 SD of walkability score is associated with 0.25 more minutes walking/week, p<0.01). Land-use mix was more strongly associated with walking than the walkability index. Time spent at the residential neighbourhood modified the relationship between land-use mix and transport-related walking in a dose-effect manner (p<0.01), those spending 5 hours on average at their residential neighbourhood have 0.2 min/day more walking for each additional land-use mix score and those spending 12 hours have 0.5 min/day more walking for each additional land-use mix score., Conclusions: Our findings suggest that walkability is associated with increased walking time, but it is modified by time spent in the neighbourhood. Our study underscores the importance of testing 'time spent in the neighbourhood' as a modifier of environmental exposures in studies of environmental correlates of walking., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Urban design literature says that public open space in a station area could promote walking and other types of physical activity, enhance place attractiveness, and increase property values. In the context of station areas, however, there is a lack of empirical studies on the relationship between the presence of parks and sustainable travel behavior, which is one of the primary goals of transit-oriented developments (TODs). This study examined the impact of park provision on transit users' mode choice in three U.S. regions: Atlanta (GA), Boston (MA), and Portland (OR). This study utilized multilevel multinomial logistic regression to account for hierarchical data structures-trips nested within station areas-and multiple travel modes-automobiles, transit, and walking. After controlling for the built environment and trip attributes, this study showed that when there was a park, people were more likely to walk or take transit to access or egress a transit station. A transit station having a park nearby may provide a more pleasant first-mile/last-mile travel experience. This paper demonstrated that station areas need to incorporate more public space, an overlooked element in current TOD plans.

Objective: Walking is a joint-friendly activity for adults with arthritis. The aim of this study was to estimate, among adults with arthritis, the prevalence of leisure and transportation walking overall (by arthritis status and by sociodemographic and health characteristics), the number of total minutes walking per week in each domain, and the distributions of walking bout length (i.e., short periods of activity) in minutes., Methods: Data were obtained from the 2010 National Health Interview Survey. Prevalence estimates (percentages and 95% confidence intervals [95% CIs]) of leisure and transportation walking in the past 7 days and walking bout times were calculated (in minutes), as were multivariable Poisson regression models, which account for the complex sample design., Results: Prevalence of leisure walking was 45.9% (95% CI 44.2-47.6) for adults with arthritis versus 51.9% (95% CI 50.9-52.9) for those without. Transportation walking prevalence was 23.0% (95% CI 21.7-24.4) for adults with arthritis versus 32.0% (95% CI 31.0-33.0) for those without. The total time of leisure walking per week did not differ in adults with arthritis compared to those without (77.3 versus 78.3 minutes, respectively; P = 0.62), while total time of transportation walking did differ (49.8 versus 58.1 minutes, respectively; P = 0.03). The most common walking bout length differed between leisure (26-40 minutes) and transportation (10-15 minutes) walking, but not by arthritis status. In separate adjusted multivariable models, obesity was consistently negatively associated with both walking outcomes, and being physically active was positively associated with both; lower extremity joint pain was not associated., Conclusion: By adding short bouts, leisure and transportation walking could be adopted by large proportions of adults with arthritis. Existing evidence-based programs can help increase physical activity., (Published 2018. This article is a U.S. Government work and is in the public domain in the USA.)

The creation of walkable communities constitutes a cost-effective health promotion strategy, as walking is an accessible and free intervention for increasing physical activity and health. In this cross-sectional ecological study, we developed a walkability index for the Porto Metropolitan Area and we validated it by assessing its association with walking for transportation. Neighborhood walkability was measured using a geographic information system and resulted from the weighted sum of residential density, street connectivity, and a destination-based entropy index. The index was categorized into quintiles of increasing walkability. Among the 1,112,555 individuals living in the study area, 28.1% resided in neighborhoods in the upper quintile of walkability and 15.8% resided in the least walkable neighborhoods. Adjusted regression models revealed that individuals residing in the most walkable neighborhoods are 81% more likely to report walking for transportation, compared with those from the least walkable neighborhoods (odds ratio: 1.81; 95% confidence intervals: 1.76⁻1.87). These results suggest that community design strategies to improve walkability may promote walking behavior.

Background: Walking and bicycling (active commuting) to school may be a useful strategy to increase the daily amount of physical activity, and, potentially, improve children's health. However, it is unclear whether active commuting to school (ACS) has the potential to improve physical health and cognitive performance in children. Our aim was to examine the relationship between ACS with adiposity indicators, physical fitness, and cognitive performance in 4- to 7-year-old children., Methods: We conducted a cross-sectional study with 1159 children from the provinces of Cuenca and Ciudad Real, Spain. ACS was self-reported by parents. Adiposity (body mass index, waist circumference, body fat mass, and triceps skinfold thickness) and physical fitness (cardiorespiratory and muscular fitness) were measured by standard procedures. Cognitive performance was assessed using the Battery of General and Differential Aptitudes. Data analysis included analysis of covariance., Results: We found no differences in adiposity, physical fitness, and cognitive performance between active commuters and nonactive commuters., Conclusions: Walking to school had no positive impact on adiposity, physical fitness, and cognition in 4- to 7-year-old children. Future studies should examine the intensity and duration of walking to school needed to provide benefits in health and cognitive performance., (© 2018, American School Health Association.)

Active transportation (AT), or walking or bicycling for transportation, represents one way individuals can achieve recommended physical activity (PA) levels. This study describes AT prevalence and temporal trends, and examines associations between AT levels and measured CVD risk factors (hypertension, hypercholesterolemia, low high-density [HDL] cholesterol, diabetes, and obesity) among U.S. adults. National Health and Nutrition Examination Survey (NHANES) 2007-2016 data (analyzed in 2017) were used to conduct overall trend analyses of reported AT in a typical week [none (0-9 min/week); low (10-149 min/week); or high (≥150 min/week)]. Logistic regression was used to examine associations between AT level and each CVD risk factor from NHANES 2011-2016 (n = 13,943). Covariates included age, sex, race/Hispanic origin, education, income, smoking, survey cycle, non-transportation PA, and urbanization level. U.S. adults who engaged in high AT levels increased from 13.1% in 2007-2008 to 17.9% in 2011-2012, and then decreased to 10.6% in 2015-2016 (p for quadratic trend = 0.004). Over the same period, the quadratic trend for low AT was not significant. During 2011-2016, 14.3% of adults engaged in high AT, 11.4% in low AT, and 74.4% in no AT. High AT levels were associated with decreased odds of each CVD risk factor assessed, compared to no AT. Low AT (versus no AT) was associated with decreased odds of hypertension (aOR = 0.77, 95% CI 0.64, 0.91) and diabetes (aOR = 0.68, 95% CI 0.54, 0.85). AT prevalence among adults has fluctuated from 2007 to 2016. Despite favorable associations between AT and CVD risk factors, most U.S. adults do not engage in any AT., (Published by Elsevier Inc.)

Purpose: To investigate relations of perceived worksite neighborhood environments to total physical activity and active transportation, over and above home neighborhood built environments., Design: Observational epidemiologic study., Setting: Baltimore, Maryland-Washington, DC, and Seattle-King County, Washington metropolitan areas., Participants: One thousand eighty-five adults (mean age = 45.0 [10.2]; 46% women) recruited from 32 neighborhoods stratified by high/low neighborhood income and walkability., Measures: The Neighborhood Environment Walkability Survey assessed perceptions of worksite and home neighborhood environments. Accelerometers assessed total moderate-to-vigorous physical activity (MVPA). The International Physical Activity Questionnaire assessed total active transportation and active transportation to and around work., Analysis: Mixed-effects regression tested relations of home and worksite neighborhood environments to each physical activity outcome, adjusted for demographics., Results: Home and worksite mixed land use and street connectivity had the most consistent positive associations with physical activity outcomes. Worksite traffic and pedestrian safety were also associated with multiple physical activity outcomes. The worksite neighborhood explained additional variance in physical activity outcomes than explained by the home neighborhood. Worksite and home neighborhood environments interacted in explaining active transportation to work, with the greatest impacts occurring when both neighborhoods were activity supportive., Conclusion: Both worksite and home neighborhood environments were independently related to total MVPA and active transportation. Community design policies should target improving the physical activity supportiveness of worksite neighborhood environments and integrating commercial and residential development.

Background: We examined factors associated with active commuting to school and the relationships of active commuting and physical activity to child- and teacher-reported internalizing and externalizing behavior problems in a sample of third graders., Methods: The study sample consisted of 13,166 third graders enrolled in the Early Childhood Longitudinal Study Kindergarten Class of 1998-1999. "Active" commuters were children who walked to school and "passive" commuters were those who took the bus or were driven. Linear analyses evaluated differences in behavior problems by school commute, physical activity, and sports team participation after adjusting for sociodemographic, regional, and neighborhood factors., Results: Overall, 11% of children actively commuted. Type of commute differed by sociodemographics, region, urbanicity, school type, and neighborhood safety. Active commuters had less general physical activity participation and sports team participation. Commuting type and general physical activity were not associated with behavior problems, but sports team participation was associated with fewer child-reported internalizing and externalizing behaviors as well as fewer teacher-reported internalizing behaviors., Conclusions: Our findings demonstrate the ongoing need for creating and maintaining physical activity programs (such as sports teams) among school-aged children to optimize children's overall health and well-being., (© 2018, American School Health Association.)

Background: Increases in physical activity through active travel have the potential to have large beneficial effects on populations, through both better health outcomes and reduced motorized traffic. However accurately identifying travel mode in large datasets is problematic. Here we provide an open source tool to quantify time spent stationary and in four travel modes(walking, cycling, train, motorised vehicle) from accelerometer measured physical activity data, combined with GPS and GIS data., Methods: The Examining Neighbourhood Activities in Built Living Environments in London study evaluates the effect of the built environment on health behaviours, including physical activity. Participants wore accelerometers and GPS receivers on the hip for 7 days. We time-matched accelerometer and GPS, and then extracted data from the commutes of 326 adult participants, using stated commute times and modes, which were manually checked to confirm stated travel mode. This yielded examples of five travel modes: walking, cycling, motorised vehicle, train and stationary. We used this example data to train a gradient boosted tree, a form of supervised machine learning algorithm, on each data point (131,537 points), rather than on journeys. Accuracy during training was assessed using five-fold cross-validation. We also manually identified the travel behaviour of both 21 participants from ENABLE London (402,749 points), and 10 participants from a separate study (STAMP-2, 210,936 points), who were not included in the training data. We compared our predictions against this manual identification to further test accuracy and test generalisability., Results: Applying the algorithm, we correctly identified travel mode 97.3% of the time in cross-validation (mean sensitivity 96.3%, mean active travel sensitivity 94.6%). We showed 96.0% agreement between manual identification and prediction of 21 individuals' travel modes (mean sensitivity 92.3%, mean active travel sensitivity 84.9%) and 96.5% agreement between the STAMP-2 study and predictions (mean sensitivity 85.5%, mean active travel sensitivity 78.9%)., Conclusion: We present a generalizable tool that identifies time spent stationary and time spent walking with very high precision, time spent in trains or vehicles with good precision, and time spent cycling with moderate precisionIn studies where both accelerometer and GPS data are available this tool complements analyses of physical activity, showing whether differences in PA may be explained by differences in travel mode. All code necessary to replicate, fit and predict to other datasets is provided to facilitate use by other researchers.

Physical inactivity among children is a significant public health concern. Active school travel (AST) methods, such as walking and wheeling to school, can be a valuable way to increase children's levels of daily physical activity. In Canada, Active and Safe Routes to School (ASRTS), a national health promotion initiative, has led the campaign for AST through its flagship school travel plan (STP) program. At present little is known about the on-the-ground implementation processes that impede or facilitate the success of STPs. Through a thematic analysis of 18 interviews with STP facilitators and 4 focus groups with the larger STP committees, our study evaluates the factors shaping the functioning of STP interventions at ten elementary schools participating in a regional ASRTS program in Southwestern Ontario. Our analysis yielded six themes that have implications for STP implementation and sustainability: 1) accounting for school context; 2) establishing committee capacity and leadership; 3) supporting STP action; 4) responsiveness to external and internal barriers; 5) engaging schools at the grassroots level; and 6) building future champions. We draw from Lewin's Field Theory and discuss the forces affecting STP committees to frame our findings in a way that can be discussed to support the building of efficient, effective, and viable AST intervention environments., (Copyright © 2018. Published by Elsevier Ltd.)

Background: Physical activity plays a fundamental role in the health and well-being of children. Walking is the most common form of physical activity and the journey to and from school provides an opportunity for children to be active every day. This study examines how child and parent perceptions of barriers to active school travel influences children's behaviour., Methods: Participants were recruited from 48 elementary schools in Southwestern Ontario, Canada. The study sample includes 1296 children (ages 9-14 years) who live within walking distance of their school, defined as 1.6 km network distance. Chi-square analysis examined differences between child and parent perceptions of barriers to active school travel. Logistic regression models examined how parent and child perceptions of barriers influence active school travel behaviour, while controlling for key intrapersonal, interpersonal, and physical environment factors., Results: The results indicate that there are significant differences in how parents and children perceive barriers to active school travel. Model results find older children, children without siblings, households with no vehicles, and children who live closer to school are most likely to use active school travel. Parent perceptions of barriers are found to have a greater influence on children's active school travel behaviour than children's perceptions. Different perceptions of barriers influence active school travel to school compared to returning home from school., Conclusions: Child and parent perceptions of barriers to active school travel differ and have different impacts on children's travel behaviour. Understanding how child and parent perceptions of barriers differ can help policymakers and practitioners develop specialized interventions aimed at increasing children's use of active school travel and children's overall physical activity. Interventions used to promote active school travel should focus on safety, as well as perceptions of distance to break parental habits of routinely driving their children to school. Overall, this study highlights the importance of considering both child and parent perceptions to create a safe and accessible environment to allow for an increase in active school travel behaviour among elementary school children who live within walking distance of their school.

Objective: Transport impacts teenagers by affecting their autonomy and independent access to activities. This manuscript reports descriptive findings of transport behaviours among teenagers in Southland, New Zealand, and discusses the implications of these for public health and policy., Methods: An online survey was implemented to investigate transport among respondents aged 16 years and older from twelve secondary schools. Two methods of survey distribution were used (in-class and at home). Descriptive results were analysed using Stata., Results: Response rate was 71.5% (n=775). The most common forms of transport were as a passenger in a car and walking. Two-thirds of participants had some form of driving licence. Half the sample expressed frustration at being unable to access activities. Significant gender differences existed regarding transport and types of activities accessed. Licence status was associated with physical activity, screen time and transport frustration., Conclusions: The transport decisions made by teenagers, in aggregate, have implications for policy and infrastructure, and findings provide a foundation for discussions around potential changes to driver education programming, the school uniform policy in New Zealand and further research. Implications for public health: Inquiring about everyday transport habits, outside of the trip to school, and activities accessed provided data about an under-researched group, supporting the ecological approach to transport in the context of public health., (© 2018 The Authors.)

Background: Although the active transportation (AT) indicator received an F grade on the 2016 US Report Card on Physical Activity for Children and Youth, this AT assessment excluded public transportation. An objective of the Built Environment and Active Play Study was to assess youth AT, including public transportation, among Washington, DC area children in relation to parental perceptions of neighborhood built environment (BE) variables., Methods: Questionnaires were mailed to 2000 parents of children aged 7-12 years. AT to school (ATS) was assessed with the question: "In an average school week, how many days does your child use each of the following ways to get to and from school? (a) Walk; (b) Bike; (c) Car; (d) Bus or Metro." Parental perceived BE data were obtained through questionnaire items, and logistic regression was conducted to determine if BE variables were associated with youth ATS., Results: The sample included 144 children (50% female; average age 9.7 years; 56.3% white; 23.7% African American; 10.4% Asian American). Over 30% used ATS-public transportation 5 days per week, and nearly 13% used ATS-walking daily. Parental perceived BE variables significantly predicted youth ATS-walking and ATS-public transportation., Conclusions: ATS-public transportation is common among Washington, DC area youth, and parental perceptions of BE can significantly predict ATS.

Background: Using community engagement approaches to develop and deliver interventions targeting small-scale physical environmental improvements in neighbourhoods is a potential strategy for increasing walking for transport. This study aimed to qualitatively assess community perceptions of the implementation and impact of the Fitter for Walking (FFW) intervention, which encouraged communities to work together to improve the street environment on local routes and promote walking for transport., Methods: From 155 FFW community projects, nineteen were selected to take part in a focus group/interview using specified criteria: geographical area; level of community involvement; intervention activities; and project progress. Participants were invited to take part via the project coordinator or lead member of the community group. A written guide was used to initiate and direct discussions through key topics. Deductive and inductive approaches were used to analyse the data and identify key themes relating to the barriers and facilitators for implementation and the perceived impact of the intervention., Results: Fourteen focus groups and five interviews were conducted with 86 community members. Themes were identified in relation to barriers (poor area reputation and regeneration areas; engaging the local community; and working with local authorities) and facilitators (provision of a coordinator/facilitator; strong local partnerships; and using a range of communication and engagement activities) for programme implementation. Participants perceived the main impacts to be improved physical and social environments. Increases in walking for transport were rarely specifically commented on, but participants did report increased street use., Conclusions: Community perspectives provided important insights into the barriers and facilitators for the implementation of the FFW intervention and its' potential impacts. Using community engagement approaches can lead to perceived improvements in the physical and social environment resulting in increased street use, which may lead to increases in walking for transport in the longer-term. Recommendations are provided for researchers, practitioners and policy makers in planning and delivering future interventions. Future research should determine optimal implementation strategies, investigate the relative importance of improving physical environments, social environments and using individual behaviour change strategies, and determine how physical and social environments interact to maximise intervention impact on walking for transport.

Background: There is limited evidence concerning how active commuting (AC) is associated with health benefits in young. The aim of the study was to analyze the relationship between AC to and from campus (walking) and obesity and metabolic syndrome (MetS) in a sample of Colombian university students., Methods: A total of 784 university students (78.6% women, mean age = 20.1 ± 2.6 years old) participated in the study. The exposure variable was categorized into AC (active walker to campus) and non-AC (non/infrequent active walker to campus: car, motorcycle, or bus) to and from the university on a typical day. MetS was defined in accordance with the updated harmonized criteria of the International Diabetes Federation criteria., Results: The overall prevalence of MetS was 8.7%, and it was higher in non-AC than AC to campus. The percentage of AC was 65.3%. The commuting distances in this AC from/to university were 83.1%, 13.4% and 3.5% for < 2 km, 2-5 km and > 5 km, respectively. Multiple logistic regressions for predicting unhealthy profile showed that male walking commuters had a lower probability of having obesity [OR = 0.45 (CI 95% 0.25-0.93)], high blood pressure [OR = 0.26 (CI 95% 0.13-0.55)] and low HDL cholesterol [OR = 0.29 (CI 95% 0.14-0.59)] than did passive commuters., Conclusions: Our results suggest that in young adulthood, a key life-stage for the development of obesity and MetS, AC could be associated with and increasing of daily physical activity levels, thereby promoting better cardiometabolic health.

Objective: Although previous studies have shown that good access to public transportation is positively related with physical activity, the moderators of this relationship have not been explored sufficiently in older adults. It is possible that driving status could moderate this relationship. The present study examined whether the objectively measured distance between public transportation and the home was associated with physical activity levels, and whether this association was moderated by driving status among Japanese older adults., Method: In this cross-sectional study, participants (n = 2,878) completed questionnaires and wore accelerometers for at least 7 days, to measure their average daily step counts and minutes spent engaging in moderate-to-vigorous physical activity. Road network distances between the home and the nearest bus stop or train station were measured using geographic information systems. Driving status was assessed using questionnaires., Results: Multiple regression analyses stratified by driving status revealed that, among nondrivers, living further away from public transportation was associated with higher step counts (β = 0.08, p < .001) and moderate-to-vigorous physical activity (β = 0.06, p = .029). Among drivers, living closer to public transportation was significantly associated with higher moderate-to-vigorous physical activity levels (β = -0.05, p = .042)., Conclusion: Despite the small effect sizes, the direction of the association between distance from public transportation and physical activity was different for current drivers and nondrivers. These findings imply that good access to public transportation does not positively relate with greater engagement in physical activity among nondriving older adults. Shorter distances to public transportation might reduce opportunities for engaging in physical activity for them. (PsycINFO Database Record, ((c) 2018 APA, all rights reserved).)

Background: Few studies have examined the causal relationship between transport mode and body mass index (BMI)., Methods: We examined between-person differences and within-person changes in BMI by transport mode over four time points between 2007 and 2013. Data were from the How Areas in Brisbane Influence HealTh and AcTivity project, a population-representative study of persons aged 40-65 in 2007 (baseline) residing in 200 neighbourhoods in Brisbane, Australia. The analytic sample comprised 9931 respondents who reported on their main transport for all travel purposes (work-related and non-work-related). Transport mode was measured as private motor vehicle (PMV), public transport, walking and cycling. Self-reported height and weight were used to derive BMI. Sex-specific analyses were conducted using multilevel hybrid regression before and after adjustment for time-varying and time-invariant confounders., Results: Independent of transport mode and after adjustment for confounders, average BMI increased significantly and linearly across the four time points for both men and women. Men and women who walked or cycled had a significantly lower BMI than their counterparts who used a PMV. BMI was nearly always lower during the time men and women walked or cycled than when they used a PMV; however, few statistically significant differences were observed. For women, BMI was significantly higher during the time they used public transport than when using a PMV., Conclusion: The findings suggest a causal association between transport mode and BMI and support calls from health authorities to promote walking and cycling for transport as a way of incorporating physical activity into everyday life to reduce the risk of chronic disease., Competing Interests: Competing interests: BG-C is supported by an NHMRC Senior Principal Research Fellowship (APP1107672). JNR is supported by an NHMRC Centre of Research Excellence in Healthy, Liveable Communities (APP1061404) on which GT and BG-C are chief investigators., (© Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.)