Active Traveling and Its Associations with Self-Rated Health, BMI and Physical Activity: A Comparative Study in the Adult Swedish Population

Associations between commute mode use and self-rated health and work ability among Finnish public sector employees

AIM

To determine the extent to which level of active commute mode use is associated with self-rated health and work ability.

METHODS

The data were sourced from the Finnish Public Sector Study survey in 2020 (n = 38,223). The associations between active commuting - assessed with the frequency of using active commute modes - and self-rated health and work ability were examined with negative binomial regression analyses. Passive commuting and low-to-moderate levels of active commuting were compared with active commuting, and the models were adjusted for sociodemographic factors, working time mode, and lifestyle risk factors. We also assessed separate associations between walking and cycling as a mode of commuting by additionally considering the commuting distance and the outcomes.

RESULTS

After adjustment, when using active commuters as a reference, passive commuters had a 1.23-fold (95% confidence intervals (CI) 1.19 to 1.29) risk of suboptimal self-rated health and a 1.18-fold (95% CI 1.13 to 1.22) risk of suboptimal work ability. More frequent and/or longer distance by foot and especially by bicycle, was positively associated with health and work ability. Never commuting by bicycle was associated with a 1.65-fold (95% CI 1.55 to 1.74) risk of suboptimal health and a 1.27-fold (95% CI 1.21 to 1.34) risk of suboptimal work ability when using high-dose bicycle commuting as a reference.

CONCLUSIONS

Passive commuting was associated with suboptimal self-rated health and suboptimal work ability. Our results suggest that using active commute modes, particularly cycling, may be beneficial for employee health and work ability.

Mobility Infrastructures and Health: Scoping Review of studies in Europe

Objectives

Movement-friendly environments with infrastructure favouring active mobility are important for promoting physical activity. This scoping literature review aims at identifying the current evidence for links between mobility infrastructures and (a) behaviour regarding active mobility, (b) health outcomes and (c) co-benefits.

Method

This review was conducted in accordance with the PRISMA scoping review guidelines using PubMed and EMBASE databases. Studies included in this review were conducted in Europe, and published between 2000 and March 2023.

Results

146 scientific articles and grey literature reports were identified. Connectivity of sidewalks, walkability, and accessibility of shops, services and work are associated with walking. Cycling is positively associated with cycle-paths, separation of cycling from traffic and proximity to greenspaces, and negatively associated with traffic danger. Increased active transportation has a protective effect on cardiovascular and respiratory health, obesity, fitness, and quality of life. Co-benefits result from the reduction of individual motorized transportation including reduced environmental pollution and projected healthcare expenditure.

Conclusion

Mobility infrastructure combined with social and educational incentives are effective in promoting active travel and reducing future healthcare expenses. A shift to active transportation would increase both individual and community health and decrease greenhouse gas emissions.

Changes in active commuting and changes in health: Within- and between-individual analyses among 16 881 Finnish public sector employees

BACKGROUND

Active commuting, such as walking or cycling to work, can be beneficial for health. However, because within-individual studies on the association between change in active commuting and change in health are scarce, the previous results may have been biased due to unmeasured confounding. Additionally, prior studies have often lacked information about commuting distance.

METHODS

We used two waves (2020, T1 and 2022, T2) of self-report data from the Finnish Public Sector study (N = 16,881; 80% female) to examine the within- and between associations (in a hybrid model) between active commuting and health. Exposure was measured by actively commuted kilometers per week, that is, by multiplying the number of walking or cycling days per week with the daily commuting distance. The primary outcome, self-rated health, was measured at T1 and T2. The secondary outcomes, psychological distress, and sleep problems were measured only at T2 and were therefore analyzed only in a between-individual design.

RESULTS

After adjustment for potential time-varying confounders such as socioeconomic factors, body mass index, and health behaviors, an increase equivalent to 10 additional active commuting kilometers per week was associated with a small improvement in self-rated health (within-individual unstandardized beta = 0.01, 95% CI 0.01-0.02; between-individual unstandardized beta = 0.03, 95% CI 0.02-0.04). No associations were observed between changes in active commuting and psychological distress or sleep problems.

CONCLUSIONS

An increase in active commuting may promote self-rated health. However, increase of tens of additional kilometers in commuting every day may be required to produce even a small effect on health.

Effect of built environment on BMI of older adults in regions of different socio-economic statuses

Background

Numerous studies have ignored the influence of underdeveloped urban surroundings on the physical health of China's ageing population. Lanzhou is a typical representative of a less developed city in China.

Methods

This study investigated the relationship between body mass index (BMI) and built environment amongst older adults in regions of different socio-economic statuses (SES) using data from medical examinations of older adults in Lanzhou, as well as calculating community built environment indicators for regions of different SES based on multiple linear regression models.

Results

Results showed that age and underlying disease were negatively associated with overall older adult BMI in the study buffer zone. Land use mix, number of parks and streetscape greenery were positively associated with older adult BMI. Street design and distance to bus stops were negatively connected in low SES regions, but population density and street design were negatively correlated in high SES areas.

Conclusion

These findings indicate that the built environment of SES regions has varying impacts on the BMI of older persons and that planners may establish strategies to lower the incidence of obesity amongst older adults in different SES locations.

Active commuting, commuting modes, and the risk of diabetes: 14-year follow-up data from the Hisayama Study

Aims/Introduction

We aimed to investigate the association of active commuting (cycling or walking to work), as well as the association of the individual commuting modes, with the risk of diabetes in a prospective cohort of community‐dwelling adults in Japan.

Material and Methods

A total of 1,270 residents aged 40–79 years were followed up for a median of 14 years. Active commuting was defined as either cycling or walking to work. A Cox proportional hazards model was used to examine the association of active commuting with the risk of diabetes. Associations for different forms of active commuting (cycling, walking and mixed modes of cycling or walking with non‐active components) were also examined.

Results

During the follow‐up period, 191 participants developed diabetes. Active commuting was associated with a lower risk of diabetes than non‐active commuting after adjustment for potential confounders (hazard ratio [HR] 0.54, 95% confidence interval [CI] 0.31–0.92). With regard to the commuting modes, the risk of diabetes was significantly lower in individuals who commuted by cycling alone (HR 0.46, 95% CI 0.22–0.98), and tended to be lower in individuals who commuted by walking alone (HR 0.14, 95% CI 0.02–1.02) compared with that in individuals with non‐active commuting. Meanwhile, no significant associations were observed for the mixed mode of walking and non‐active commuting (HR 1.69, 95% CI 0.77–3.71).

Conclusions

Active commuting, particularly that consisting exclusively of cycling or walking, was associated with a reduced risk of diabetes. Our findings support a public health policy that promotes the choice of active commuting for the prevention of diabetes.

Preliminary Results of a Bicycle Training Course on Adults' Environmental Perceptions and Their Mode of Commuting

This study was designed to analyze the effects of a bicycle training course on both adults’ environmental perceptions and their mode of commuting. Four bicycle training courses for adults were conducted in Granada, Spain in April 2015 and May 2016. The course program was focused on developing practical skills and attitudes on road. From the initial 65 adults who started the course, only 35 adults met the inclusion criteria and were included in the study. Participants completed twice (i.e., before and after the course) a questionnaire about their perceptions of the environment, usual mode of commuting to daily destinations, and sociodemographic characteristics. After finishing the initial questionnaire, the participants completed a bicycle training course based on the methodology “Bikeability” with a duration of 6 h. The results suggest that participants improved their safety perception in relation to the level of crime in the participants’ neighborhood after the bicycle training course. Cycling training courses should last longer in order to produce changes in the mode of commuting and in the environmental perceptions.

Socioenvironmental factors and behaviors associated with negative self-rated health in Brazil

The purpose of this study is to determine the factors associated with negative self-rated health in Brazil. The sample consisted of 5,259 adults from five representative capitals of the five regions of Brazil. Data collection was achieved in the following municipalities: Palmas (North Region), João Pessoa (Northeast Region), Goiânia (Central-West Region), Vitória (Southeast Region) and Florianópolis (South Region). For the analysis of the data, Binary Logistic Regression for determine the factors associated with negative self-rated health was used. Negative self-rated health was identified in 31.43% of Brazilians. The factors that were significantly associated were bad air quality, does not have public spaces for leisure, older age group, insufficient salary to cover expenses, a rare practice of physical exercises, does not perform healthy eating, active commuting for study or employment and commuting time for above 30 minutes, dissatisfaction with health services and still, not working, not looking for a job and finally, reside in some Brazilian regions. The study presents the importance of socioenvironmental and behavioral factors for the self-rated health of Brazilian adults, as well as it shows high rates of negative self-rated health compared to other studies.

Is active commuting associated with sedentary behaviour and physical activity in women with fibromyalgia? The al-Ándalus project

PURPOSE

This study aimed to examine the association between active commuting and sedentary time (ST) and physical activity (PA) in women with fibromyalgia.

MATERIALS AND METHODS

This cross-sectional study included 420 women with fibromyalgia (aged 30 to 74 years old) from Spain. The participants wore an accelerometer during seven days to record ST and PA. They also self-reported patterns of active commuting. Linear regression analyses were conducted to examine the relationships between commuting and accelerometer outcomes. Age, pressure pain threshold, and accelerometer wear time were used as confounders.

RESULTS

There was a negative association between active commuting and ST whereas active commuting was positively associated with moderate PA, moderate-to-vigorous PA, total PA, and step count (all p ≤ 0.01). No associations were observed in the older group.

CONCLUSION

Younger women with fibromyalgia who were active commuters spent less ST and were involved in greater PA than passive commuters. This study highlights the importance of promoting active commuting to increase PA among young women with fibromyalgia, while other sources of PA might be recommended for older patients if levels of active commuting are not increased.Implications for rehabilitationActive commuting is a source to increase PA in women with fibromyalgia.Active commuting alone does not seem to be enough to increase PA levels in older women with fibromyalgia and additional PA strategies should be implemented.Promotion of active commuting in young women with fibromyalgia is recommended.

The Prevalence and Perceived Health Factors of Healthy Eating and Active Living: An International Older Population-Based Study

Engaging in healthy eating and active living is an effective strategy for preventing noncommunicable diseases in older populations. The purposes were to compare the prevalence rates across countries and explore health factors associated with healthy eating and active living. The data were retrieved from a cross-sectional study conducted by the International Social Survey Program (2011 Health and Healthcare), with structured questionnaire surveys in 32 countries. The results showed that 38.42% reported active living and 39.11% reported healthy eating among 11,250 total respondents. Older adults with a long-standing illness or obesity who felt that they were not overcoming problems and had lost confidence were less likely to engage in healthy behavior. Perceived general health had a positive association with the odds of engaging in healthy eating and active living. The international comparisons provide a reference for local governments to decrease health disparities. Inspiring self-awareness about health might encourage older adults to pursue healthy lifestyles.

Psychometric Characteristics of a Commuting-to-School Behaviour Questionnaire for Families

The purposes of this study were: (a) to describe the patterns of modes of commuting to school (children) and to work (parents) separated by gender and age, (b) to validate the questions on children’s mode of commuting to and from school according to their parents, and (c) to analyse the reliability of a family questionnaire focused on commuting to school behaviours. A total of 611 parents (mean age: 43.28 ± 6.25 years old) from Granada (Spain) completed “Family commuting-to-school behaviour” questionnaire in two sessions separated by 14 days, (2016 and 2018). The validation between family and children’s questions was assessed using the Kappa and Spearman correlation coefficients, and the test–retest reliability within the family questions was assessed using the Kappa and the weighted Kappa. The children’s modes of commuting to school (mean age: 11.44 ± 2.77 years old) were mainly passive (57.7% to school) while parents’ modes of commuting to work were mainly active (71.6%). The validity of the mode of commuting was significant with high Kappa and Spearman coefficients. The test–retest reliability presented a good agreement for the mode of commuting to school in children, distance and time to school, and the mode of commuting to work in parents, while the questions on acceptable distance to walk or cycle to school showed a moderate to good agreement. The “Family commuting-to-school behaviour” questionnaire could be a useful tool to assess the mode of commuting of children, distance and time to school for researchers and practitioners.

Active Transportation and Obesity Indicators in Adults from Latin America: ELANS Multi-Country Study

PURPOSE

The aim of this study was to determine the association between active transportation and obesity indicators in adults from eight Latin American countries.

METHODS

Data from the ELANS study, an observational multi-country study (n: 8336; 18-65 years), were used. Active transportation (walking and cycling) and leisure time physical activity was assessed using the International Physical Activity Questionnaire (long version). The obesity indicators considered were: body mass index, and waist and neck circumference.

RESULTS

In the total sample, the average time dedicated to active transportation was 24.3 min/day, with the highest amount of active transportation being Costa Rica (33.5 min/day), and the lowest being Venezuela (15.7 min/day). The countries with the highest proportion of active transportation were Ecuador (71.9%), and the lowest was Venezuela (40.5%). Results from linear regression analyses suggest that active transportation was significantly and independently associated with a lower body mass index (β: -0.033; 95% CI: -0.064; -0.002), but not with waist circumference (β: -0.037; 95% CI: -1.126; 0.390 and neck circumference (β: -0.007; 95% CI: -0.269; 0.130).

CONCLUSIONS

Active transportation is significantly associated with a lower body mass index. Governments should incentivize this type of transportation as it could help to reduce the obesity pandemic in Latin America.

Comparing the Trail Users with Trail Non-Users on Physical Activity, Sleep, Mood and Well-Being Index

Background: The current study sought to understand whether trail users reported better wellness and health status compared to the non-users, and to recognize the associated factors. Methods: Eight trails from different locations and settings within Indiana were selected to sample trail users for the study. Additionally, areas surrounding these eight trails were included in the study as sample locations for trail non-users. Trail users and non-users were intercepted and asked to participate in a survey including demographics, socioeconomic status, physical activity, mood, smoking, nutrition, and quality of sleep. Information was collected and compared between the trail users and the non-users. Association of self-rated health, age, sex, race, marital status, employment, income, education, smoking, nutrition, sleep, and mood with trail use was evaluated by multivariable linear regression model. Results: The final sample size included 1299 trail users and 228 non-users. Environmental factors (access to nature and scenery) were important incentives for 97% and 95% of trail users, respectively. Age, sex, mood, and sleep quality were significantly associated with using the trail. Mean (SD) self-rated wellness and health out of 10 was 7.6 (1.4) in trail users and 6.5 (1.9) in non-users (p < 0.0001). Importantly, trail users were significantly more physically active outside of the trail compared to the non-users (207 vs. 189 min/week respectively, p = 0.01) and had better sleep qualities and mood scores. Using the trails was significantly associated with higher self-rated wellness and health score. The longer the use of trails, the higher the self-rated wellness and health index (β = 0.016, p = 0.03). Conclusion: Compared to not using the trails, trail use was significantly associated with more physical activity, better sleep quality, and higher self-rated wellness and health.

Feasibility and Reliability of a Questionnaire to Assess the Mode, Frequency, Distance and Time of Commuting to and from School: The PACO Study

Active commuting to and from school has several health implications. Self-reporting is the most common assessment tool, but there is a high heterogeneity of questionnaires in the scientific literature. The purpose of this study was to analyse the feasibility and reliability of the Spanish "New Version of Mode and Frequency of Commuting To and From School" questionnaire in children and adolescents. A total of 635 children (5-12 years old) and 362 adolescents (12-18 years old) filled out the questionnaire twice (14 days apart). Feasibility was evaluated using an observational checklist. The test-retest reliability of the "New Version of Mode and Frequency of Commuting To and From School" questionnaire and the distance and time to school were examined using the kappa and weight kappa coefficient (κ). No misunderstanding of questions was reported. The time to complete the questionnaire was 15 ± 3.62 and 9 ± 2.26 min for children and adolescents, respectively. The questionnaire showed substantial and almost perfect kappa coefficients for the overall six items (k = 0.61-0.94) in children and adolescents. The "New Version of Mode and Frequency of Commuting To and From School" questionnaire is a feasible and reliable questionnaire in Spanish children and adolescents.

Active Commuting and Depression Symptoms in Adults: A Systematic Review

Physical activity (PA) is suggested to have a protective effect against depression. One way of engaging in PA is through active commuting. This review summarises the literature regarding the relationship between active commuting and depression among adults and older adults. A systematic review of studies published up to December 2019, performed in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines, was conducted using three databases (PubMed, Scopus, and Web of Science). A total of seven articles were identified as relevant. The results from these studies were inconsistent. Only two presented a significant relationship between active commuting and depression symptoms. In those two studies, switching to more active modes of travel and walking long distances were negatively related to the likelihood of developing new depressive symptoms. In the other five studies, no significant association between active travel or active commuting and depression was found. The relationship between active commuting and depression symptoms in adults is not clear. More studies on this topic are necessary in order to understand if active commuting can be used as a public health strategy to tackle mental health issues such as depression.

Association between trail use and self-rated wellness and health

Background

Incorporating trail use into daily activity routines could be an important venue to increase a population’s physical activity. This study presents important health impacts of trail use.

Methods

A cross-sectional study was conducted on 8 trails throughout the State of Indiana. A mix of urban, suburban, and rural trails were selected. Recruitment sessions were completed during four 1-week periods throughout the study in various locations and at various times of day on each trail between April and October 2017. Data were collected through online and paper surveys. For each type of physical activity, a generalized additive model for self-rated wellness and health was built adjusting for demographics, socioeconomic status, amounts of physical activity on trails, mood status, sleep pattern, diet and smoking habit. The plots of estimated smoothing spline function with 95% confidence band were pictured. All statistical analyses were conducted using R.

Results

The final sample size included 1299 trail users; 92% were White, 79% aged 18–65 years, 71% were married and 56% were male. Biking, walking and running were the main activities with 52, 29 and 19%, respectively. Female to male ratio was 3:2 in walkers vs. 2:3 in runners and bikers. Runners were significantly younger than the other two groups. Runners also had the highest percentage of college graduates and above, the highest rate of employment, the highest income, and the lowest percentage of being retired among the three groups. They more commonly used the trails alone than the walkers and bikers. Bikers had the highest rate of job satisfaction. They also showed a better mean score of mood than that the walkers and runners. There was a linear association between walking and self-rated wellness and health, and a curved association between running/biking and self-rated wellness and health. Running < 6.5 miles/week and biking > 14 miles/week were associated with steeper rise in self-rated wellness and health.

Conclusions

Employed educated married middle-aged people had the highest prevalence of walking, running or biking. The higher the walking, the higher self-rated wellness and health. A similar association was observed for running up to 6.5 miles/week or biking > 14 miles/week.

Association of commuting mode with dyslipidemia and its components after accounting for air pollution in the working population of Beijing, China

Background

Evidence of the association between dyslipidemia and its components with commuting mode after adjusting for air pollution is limited. This study aimed to explore the association of dyslipidemia and its components with the modes used to commute to and from work after accounting for air pollution and other potential confounding factors.

Methods

This cross–sectional study was based on data collected from a working population of 69 functional communities in Beijing in 2016. A final sample of 8090 adults aged 18–65 years (mean age: 38.36 ± 9.75 years) was enrolled in the study. Risk estimates and their corresponding 95% confidence intervals (CIs) for the associations of dyslipidemia and its components with commuting mode were determined using multivariate logistic regression models.

Results

Of the 8090 subjects, 2419 (29.90%) met the criteria for dyslipidemia. Compared with car or taxi commuters, walking (OR 0.79, 95% CI 0.64 to 0.97), cycling (OR 0.71, 95% CI 0.58 to 0.86) and bus-riding commuters (OR 0.78, 95% CI 0.66 to 0.91) had a lower risk for dyslipidemia. Compared with car or taxi commuting, walking, cycling and bus-riding commuting were also associated with a lower risk for some components of dyslipidemia. Among the walking, cycling and bus-riding commuters, a dose-response trend of the association between dyslipidemia, some of its components and commuting mode by commuting time was also observed.

Conclusions

Walking, cycling and bus-riding commuting can reduce the risk for dyslipidemia and some of its components. Education on the prevention of dyslipidemia should be emphasized among higher-risk people who usually commute by car or taxi. Population-wide health may be improved by policies that encourage active commuting, particularly cycling and walking.

Electronic supplementary material

The online version of this article (10.1186/s12889-019-6887-x) contains supplementary material, which is available to authorized users.

Mode of physical activity participation by body mass index: 2015 behavioural risk factor surveillance system

Body mass index (BMI) continues to be used as a marker of health due its strong correlation with adiposity and health. Physical activity (PA) has been shown to be favourably associated with a desirable BMI. Few studies have examined mode of PA participation across BMI indices with a mutually exclusive underweight BMI range. The purpose of this study was to examine the relationship between modes of PA and BMI. Data from the 2015 Behavioral Risk Factor Surveillance System was analysed. Underweight, overweight, and obese BMI categories possessed 35, 20, and 46% lower odds of meeting current PA guidelines. The obese BMI group was found to have lower odds of meeting the aerobic only and strength only guidelines. Underweight, overweight, and obese groups possessed 63, 18, and 76% greater odds of meeting neither PA guideline, respectively.

Associations of active commuting with body fat and visceral adipose tissue: A cross-sectional population based study in the UK

The promotion of active travel (walking and cycling) is one promising approach to prevent the development of obesity and related cardio-metabolic disease. However the associations between active travel and adiposity remain uncertain. We used the Fenland study (a population based-cohort study; Cambridgeshire, UK, 2005-15) to describe the association of commuting means with DEXA measured body fat and visceral adipose tissue (VAT) among commuters (aged 29-65years; n=7680). We stratified our sample into those living near (within five miles) and far (five miles or further) from work, and categorised commuting means differently for each group reflecting their different travel options. Associations were adjusted for age, education, Mediterranean diet score, smoking, alcohol consumption, test site and either self-reported physical activity or objective physical activity. Among those living near to work, people who reported regularly cycling to work had lower body fat than those who only used the car (adjusting for self-reported physical activity: women, -1.74%, 95% CI: -2.27% to -0.76%; men, -1.30%, -2.26% to -0.33%). Among those who lived far from work, people who reported regular car-use with active travel had lower body fat (women; -1.18%, 95% CI: -2.23% to -0.13%; men, -1.19%, -1.93% to -0.44%). Findings were similar for VAT and when adjusting for objectively measured physical activity instead of self-reported physical activity. In conclusion, active commuting may reduce adiposity and help prevent related cardio-metabolic disease. If people live too far from work to walk or cycle the whole journey, incorporating some active travel within the commute is also beneficial.

Time Spent Commuting to Work and Mental Health: Evidence From 13 Waves of an Australian Cohort Study

Time-related stressors, such as long working hours, are recognized as being detrimental to health. We considered whether time spent commuting to work was a risk factor for poor mental health. Data from the Household, Income Labour Dynamics in Australia Survey were used to conduct fixed-effects longitudinal regression analyses. The outcome variable was the Mental Health Inventory, and the main exposure represented hours per week traveling to and from a place of paid employment. Effect modifiers included sex, low job control, high demands, and low job security. Compared with when a person commuted for ≤2 hours per week, there was a small decline (coefficient = -0.33, 95% CI: -0.62, -0.04; P = 0.025) in the Mental Health Inventory score when they commuted for over 6 hours per week. Compared with persons with high job control, persons working in jobs with low job control experienced significantly greater declines in the Mental Health Inventory score when commuting 4 to 6 hours per week and when commuting over 6 hours per week. We found no influence from the other hypothesized effect modifiers. These results suggest the importance of considering commuting time as an additional work-related time stressor.

The Relationship between the Neighborhood Built Environment and Active Transportation among Adults: A Systematic Literature Review

Active transportation (AT) has aroused great interest in recent years as it may benefit public health and reduce the dependency on cars. This article aims to summarize recent findings on the relationship between the objectively measured built environment and AT among adults, to examine if different study designs may generate different results, and to provide directions for future research. A systematic literature review of journal articles from different databases was conducted. Fifty-one articles published between 2005 and 2017 were identified, and twelve built environment factors were extracted. The results showed that residential density, land use mix, street connectivity, retail land use, walkability, sidewalk, and access to destinations had a convincing positive relationship with walking for transport. Regarding cycling for transport, while street connectivity and bike lane showed a convincing positive relationship, neighborhood aesthetics and access to destinations showed a convincing negative relationship. Studies that use different analyzed geographic units and different measurements of AT may generate different results, so choosing suitable geographic units and measurement of AT is necessary to reduce the mismatch in the relationships. In addition, we need more longitudinal studies, more studies on cycling for transport, and more studies in countries outside North America and Australasia.

Associations of commuting to school and work with demographic variables and with weight status in eight European countries: The ENERGY-cross sectional study

This study aims to assess the prevalence of different modes of commuting to school and work for 10-12year-olds and their parents; to assess the associations with demographic variables (country, sex, parental education and ethnicity) and with weight status in eight European countries. As part of the ENERGY project a cross-sectional survey was conducted in 2010 in which modes of commuting and socio-demographic variables for children (N=7903) and one of their parents (n=6455) were measured by questionnaires. Children's weight and height were objectively measured; parents self-reported their weight and height. Logistic multilevel regression analyses assessed the associations between mode of commuting and overweight. Differences between countries and differences in mode of commuting according to demographic variables were tested using χ²-test and Marascuilo's Post-hoc analysis. There were marked differences between countries, especially regarding cycling to school, which was common in The Netherlands and Norway and rare in Greece and Spain. Demographic variables were associated with mode of commuting in children and parents. Mode of commuting was not associated with being overweight in children, after adjustment for demographic variables. Bicycling to work, but not other modes of commuting, was significantly inversely associated with being overweight among parents (OR=0.74 (95%CI 0.57-0.97)). Interventions targeting active commuting may promote cycling, and should take into account the differences regarding demographic variables.

Active transport and obesity prevention - A transportation sector obesity impact scoping review and assessment for Melbourne, Australia

Given the alarming prevalence of obesity worldwide and the need for interventions to halt the growing epidemic, more evidence on the role and impact of transport interventions for obesity prevention is required. This study conducts a scoping review of the current evidence of association between modes of transport (motor vehicle, walking, cycling and public transport) and obesity-related outcomes. Eleven reviews and thirty-three primary studies exploring associations between transport behaviours and obesity were identified. Cohort simulation Markov modelling was used to estimate the effects of body mass index (BMI) change on health outcomes and health care costs of diseases causally related to obesity in the Melbourne, Australia population. Results suggest that evidence for an obesity effect of transport behaviours is inconclusive (29% of published studies reported expected associations, 33% mixed associations), and any potential BMI effect is likely to be relatively small. Hypothetical scenario analyses suggest that active transport interventions may contribute small but significant obesity-related health benefits across populations (approximately 65 health adjusted life years gained per year). Therefore active transport interventions that are low cost and targeted to those most amenable to modal switch are the most likely to be effective and cost-effective from an obesity prevention perspective. The uncertain but potentially significant opportunity for health benefits warrants the collection of more and better quality evidence to fully understand the potential relationships between transport behaviours and obesity. Such evidence would contribute to the obesity prevention dialogue and inform policy across the transportation, health and environmental sectors.