Health-related factors associated with mode of travel to work

Hospital Admissions Associated With Head and Neck Injuries From Olympic-style Sports and Activities Between 2010 and 2022

The objective of this study was to evaluate which Olympic-style sports and activities are most likely to result in hospitalizations relating to head and neck injuries. This was a cross-sectional study using the National Electronic Injury Surveillance System (NEISS) database. Subjects with head and neck injuries from selected Olympic-style sports and activities between 2010 and 2022 were included. Independent variables were demographics and injury characteristics (injury location and sport). The primary outcome variable was hospitalization (yes/no). Survey-weighted descriptive, bivariate, and logistic regression statistics were computed to measure the association between demographic/injury variables and hospitalization. There were 175,995 subjects (national estimate, 5,922,584) meeting inclusion criteria. After adjusting for demographic and injury characteristics, head injuries (odds ratio [OR] = 2.17; 95% CI, 1.83-2.56; P <0.001) demonstrated higher odds of hospitalization compared with facial injuries. Injuries from cycling (OR = 2.52; 95% CI, 2.16-2.95; P <0.001), mountain biking (OR = 2.56; 95% CI, 1.80-3.65; P <0.001), and horseback riding (OR = 4.01; 95% CI, 2.76-5.83; P <0.001) demonstrated higher odds of hospitalization relative to baseball injuries. In conclusion, head and neck injuries associated with high velocity Olympic-style sports and activities such as cycling, mountain biking, and horseback riding had the highest odds of hospitalization.

Benefits, risks, barriers, and facilitators to cycling: a narrative review

There is large potential to increase cycling participation worldwide. Participation in cycling is associated with lower risk of mortality from any cause, and incidence of cardiovascular disease and type 2 diabetes, as well as positive mental health and well-being. The largest potential for health gains likely to come from increasing participation amongst those who do not currently cycle regularly, rather than encouraging those who already cycle regularly to cycle more. Replacing car journeys with cycling can lead to reductions in air pollution emissions and lower pollutant exposure to the general population. Important gaps and uncertainties in the existing evidence base include: the extent to which the health benefits associated with cycling participation are fully causal due to the observational nature of much of the existing evidence base; the real-world economic cost-benefits of pragmatic interventions to increase cycling participation; and the most effective (combination of) approaches to increase cycling participation. To address these uncertainties, large-scale, long-term randomised controlled trials are needed to: evaluate the effectiveness, and cost-effectiveness, of (combinations of) intervention approaches to induce sustained long-term increases in cycling participation in terms of increases in numbers of people cycling regularly and number of cycling journeys undertaken, across a range of population demographic groups; establish the effects of such interventions on relevant outcomes related to health and wellbeing, economic productivity and wider societal impacts; and provide more robust quantification of potential harms of increasing cycling participation, such as collision risks.

Individual Characteristics Associated with Active Travel in Low and High Income Groups in the UK

Active travel (AT) has gained increasing attention as a way of addressing low levels of physical activity. However, little is known regarding the relationship between income and AT. The aim of this study was to investigate characteristics associated with undertaking AT in an adult population and by low- and high-income groups. Data collected from the Physical Activity and the Rejuvenation of Connswater (PARC) study in 2017 were used. Participants were categorised into socio-economic groups according to their weekly household income, and were categorised as participating in ‘no’ AT or ‘some’ AT and ‘sufficient’ AT. Multivariable logistic regression explored characteristics associated with AT in the full cohort, and the low- and high-income groups separately. Variables associated with AT in the low-income group were body mass index (BMI), physical activity self-efficacy, marital status, long term illness, difficulty walking and housing tenure. For the high-income group, BMI, marital status, housing tenure and education were associated with AT. For both income groups, there were consistent positive associations with the action/maintenance phase of the stage of change model across all AT categories. The findings suggest that population sub-groups may benefit from targeted initiatives to support engagement in AT and prevent further widening of inequalities.

Creating Built Environments That Expand Active Transportation and Active Living Across the United States: A Policy Statement From the American Heart Association

Physical activity is vital for the health and well-being of youth and adults, although the prevalence of physical activity continues to be low. Promoting active transportation or human-powered transportation through policy, systems, and environmental change is one of the leading evidence-based strategies to increase physical activity regardless of age, income, racial/ethnic background, ability, or disability. Initiatives often require coordination across federal, state, and local agencies. To maximize the effectiveness of all types of interventions, it is imperative to establish strong and broad partnerships across professional disciplines, community members, and advocacy groups. Health organizations can play important roles in facilitating these partnerships. This policy statement provides recommendations and resources that can improve transportation systems, enhance land use design, and provide education to support policies and environments to promote active travel. The American Heart Association supports safe, equitable active transportation policies in communities across the country that incorporate consistent implementation evaluation. Ultimately, to promote large increases in active transportation, policies need to be created, enforced, and funded across multiple sectors in a coordinated and equitable fashion. Active transportation policies should operate at 3 levels: the macroscale of land use, the mesoscale of pedestrian and bicycle networks and infrastructure such as Complete Streets policies and Safe Routes to School initiatives, and the microscale of design interventions and placemaking such as building orientation and access, street furnishings, and safety and traffic calming measures. Health professionals and organizations are encouraged to become involved in advocating for active transportation policies at all levels of government.

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.

The Role of Personality Traits through Habit and Intention on Determining Future Preferences of Public Transport Use

A complex set of factors may affect transportation mode choice. While earlier studies have often considered objective factors in determining preferences of public transport use as a sustainable transportation, subjective factors such as personality traits are underexplored. Therefore, this study aimed to investigate the influence of personality traits on the number of future public transport use. Additionally, “car habit” and “intention toward using public modes” were considered to be important. For this purpose, a case study from departure passengers at Imam Khomeini International Airport (IKIA, Tehran, Iran) was conducted between January and February 2015 at IKIA. Results of structural equation modeling (SEM) shows that only neuroticism and extraversion personality traits were significant in determining future public transportation mode choice. However, the model indicates that these traits indirectly influence intention and car habit. Neuroticism was found to have a total effect of −0.022 on future public transport use, which represents a negative association with public transport use, while extraversion positively influenced future public transport use with a total effect of 0.031. Moreover, the results found interestingly that car access had a better fit to the data than the number of cars in household (NCH); both had significant positive effect on car habit, but only car access had a significant influence on intention. Furthermore, the effect of socio-demographic variables such as age, gender, educational level, income level, and body mass index (BMI) were determined to be significant in identifying choice of future transport mode to airports, which is explained in the discussion section of this paper.

Perceived health status associated with transport choice for short distance trips

Background

This study examines the association between active transport and perceived general health, perceived psychological wellbeing and a healthy body weight in the Netherlands.

Methods

Data were collected by an online questionnaire (N = 3663) in the Netherlands. Data collection was conducted over a period of one calendar year starting July 2012. Logistic regression analyses were used to investigate the association between choice of transport mode (bicycling vs car use and walking vs car use) and perceived general health, perceived psychological wellbeing and having a healthy weight respectively. The presented OR's may be interpreted as the likelihood of an average person in our dataset to have a better perceived health or body weight when choosing active transport (either bicycling or walking) over using the car for trips up to 7.5 km.

Results

Cycling was found to be significantly associated with a better perceived general health (OR = 1.35, 95%CI:1.07–1.70) and having a healthy body weight (OR = 1.52, 95%CI:1.28–1.79), but not with a better perceived psychological wellbeing (OR = 1.12, 95%CI:0.93–1.34). Walking was found to be significantly associated with having a healthy body weight (OR = 1.35, 95%CI:1.09–1.69), but not with a better perceived general (OR = 1.12, 95%CI:0.84–1.51) or psychological wellbeing (OR = 0.85, 95%CI:0.67–1.08).

Conclusion

Our results suggest that active transport use has been associated with a better perceived general health and a healthy body weight. However, more research is needed to be able to elucidate which factors cause this better health. No associations were observed between transport choice and perceived psychological wellbeing.

•

Active transport users experience a better perceived general health.

•

Active transport users are more likely to have a healthy body weight.

•

No association between transport choice and perceived psychological wellbeing in The Netherlands

Active transportation in adult survivors of childhood cancer and neighborhood controls

PURPOSE

Childhood cancer survivors (CCS) are at high risk of treatment-related late effects, including cardiovascular disease and diabetes, which can be exacerbated by inadequate physical activity (PA). Previous PA interventions targeting CCS have focused on the domain of leisure-time/recreational PA. Active transportation, another domain of PA, has not been described in CCS. Therefore, this study aimed to identify active transportation behaviors, barriers, and correlates in adult CCS.

METHODS

We recruited 158 adult CCS and 153 controls matched on age, sex, and neighborhood for a survey regarding active transportation behaviors and perceptions. Linear and logistic regression models accounting for correlation among matched participants were used.

RESULTS

Adult CCS engaged in similar levels of active transportation as controls (2.72 vs. 2.32 h/week, P = 0.40) despite perceiving greater health-related barriers (1.88 vs. 1.65 (measured on four-point Likert scale), P = 0.01). Marital/relationship status (odds ratio (OR) = 0.30, 95 % confidence interval (CI) = 0.11-0.81), planning/psychosocial barriers (OR = 0.15, 95 % CI = 0.04-0.53), and perceived neighborhood walkability (OR = 2.55, 95 % CI = 1.14-5.66) were correlates of active transportation among adult CCS, while objective neighborhood walkability (OR = 1.03, 95 % CI = 1.01-1.05) was a correlate among controls.

CONCLUSIONS

Results suggest adult CCS and controls utilize active transportation at approximately equal levels. Factors other than health, including perceived neighborhood walkability, are related to active transportation behaviors to a greater degree in adult CCS.

IMPLICATIONS FOR CANCER SURVIVORS

Interventions might consider promoting active transportation as a way to incorporate more PA into the daily lives of adult CCS. Such interventions will not be likely successful, however, without existing or improved neighborhood walkability/bikeability.

Associations between active travel and adiposity in rural India and Bangladesh: a cross-sectional study

Background

Data on use and health benefits of active travel in rural low- and middle- income country settings are sparse. We aimed to examine correlates of active travel, and its association with adiposity, in rural India and Bangladesh.

Methods

Cross sectional study of 2,122 adults (≥18 years) sampled in 2011–13 from two rural sites in India (Goa and Chennai) and one in Bangladesh (Matlab). Logistic regression was used to examine whether ≥150 min/week of active travel was associated with socio-demographic indices, smoking, oil/butter consumption, and additional physical activity. Adjusting for these same factors, associations between active travel and BMI, waist circumference and waist-to-hip ratio were examined using linear and logistic regression.

Results

Forty-six percent of the sample achieved recommended levels of physical activity (≥150 min/week) through active travel alone (range: 33.1 % in Matlab to 54.8 % in Goa). This was more frequent among smokers (adjusted odds ratio 1.36, 95 % confidence interval 1.07–1.72; p = 0.011) and those that spent ≥150 min/week in work-based physical activity (OR 1.71, 1.35–2.16; p < 0.001), but less frequent among females than males (OR 0.25, 0.20–0.31; p < 0.001). In fully adjusted analyses, ≥150 min/week of active travel was associated with lower BMI (adjusted coefficient −0.39 kg/m², −0.77 to −0.02; p = 0.037) and a lower likelihood of high waist circumference (OR 0.77, 0.63–0.96; p = 0.018) and high waist-to-hip ratio (OR 0.72, 0.58–0.89; p = 0.002).

Conclusions

Use of active travel for ≥150 min/week was associated with being male, smoking, and higher levels of work-based physical activity. It was associated with lower BMI, and lower risk of a high waist circumference or high waist-to-hip ratio. Promotion of active travel is an important component of strategies to address the growing prevalence of overweight in rural low- and middle- income country settings.

Electronic supplementary material

The online version of this article (doi:10.1186/s12889-015-2411-0) contains supplementary material, which is available to authorized users.

Differences in physical activity domains, guideline adherence, and weight history between metabolically healthy and metabolically abnormal obese adults: a cross-sectional study

BACKGROUND

Despite the accepted health consequences of obesity, emerging research suggests that a significant segment of adults with obesity are metabolically healthy (MHO). To date, MHO individuals have been shown to have higher levels of physical activity (PA), but little is known about the importance of PA domains or the influence of weight history compared to their metabolically abnormal (MAO) counterpart.

OBJECTIVE

To evaluate the relationship between PA domains, PA guideline adherence, and weight history on MHO.

METHODS

Pooled cycles of the National Health and Nutritional Examination Survey (NHANES) 1999-2006 (≥20 y; BMI ≥ 30 kg/m(2); N = 2,753) and harmonized criteria for metabolic syndrome (MetS) were used. Participants were categorized as "inactive" (no reported PA), "somewhat active" (>0 to < 500 metabolic equivalent (MET) min/week), and "active" (PA guideline adherence, ≥ 500 MET min/week) according to each domain of PA (total, recreational, transportation and household). Logistic and multinomial regressions were modelled for MHO and analyses were adjusted for age, sex, education, ethnicity, income, smoking and alcohol intake.

RESULTS

Compared to MAO, MHO participants were younger, had lower BMI, and were more likely to be classified as active according to their total and recreational PA level. Based on total PA levels, individuals who were active had a 70% greater likelihood of having the MHO phenotype (OR = 1.70, 95% CI: 1.19-2.43); however, once stratified by age (20-44 y; 45-59 y; and; ≥60 y), the association remained significant only amongst those aged 45-59 y. Although moderate and vigorous PA were inconsistently related to MHO following adjustment for covariates, losing ≥30 kg in the last 10 y and not gaining ≥10 kg since age 25 y were significant predictors of MHO phenotype for all PA domains, even if adherence to the PA guidelines were not met.

CONCLUSION

Although PA is associated with MHO, the beneficial effects of PA may be moderated by longer-term changes in weight. Longitudinal analysis of physical activity and weight change trajectories are necessary to isolate the contribution of duration of obesity, PA behaviours, and longer-term outcomes amongst MHO individuals.

Bicycling policy indirectly associated with overweight/obesity

BACKGROUND

Policies to enhance bicycling are correlated with health outcomes. Research has yet to provide an adequate, empirically derived explanation for this finding.

PURPOSE

To examine a comprehensive model of a pathway potentially linking bicycle policies to overweight/obesity.

METHODS

Data representing multiple years between 2006 and 2012 from CDC, U.S. Census Bureau, U.S. Department of Transportation, and the Alliance for Biking and Walking were subjected to bivariate and multivariate analyses in 2013. A path model was created to explain the relationship between bicycle policies and overweight/obesity in the 48 largest U.S. cities.

RESULTS

Zero-order correlations were significant between the number of bicycle policies and the percentage of workers bicycling to work and rates of overweight/obesity. These relationships did not remain statistically significant in the multivariate analysis. However, more bicycle policies were associated with a greater number of bicycle infrastructure components (p<0.005). In turn, bicycling infrastructure components were positively related to the percentage of workers bicycling to work (p<0.001), which was inversely associated with overweight/obesity rates (p<0.05).

CONCLUSIONS

The results of this study suggest that large cities with more policies aimed at promoting bicycling have fewer overweight/obese residents, partially because the policies are related to supportive bicycling infrastructures that promote bicycling to work.

Correlates of walking for transportation and use of public transportation among adults in St Louis, Missouri, 2012

INTRODUCTION

Attributes of the built environment can influence active transportation, including use of public transportation. However, the relationship between perceptions of the built environment and use of public transportation deserves further attention. The objectives of this study were 1) to assess the relationship between personal characteristics and public transportation use with meeting national recommendations for moderate physical activity through walking for transportation and 2) to examine associations between personal and perceived environmental factors and frequency of public transportation use.

METHODS

In 2012, we administered a mail-based survey to 772 adults in St Louis, Missouri, to assess perceptions of the built environment, physical activity, and transportation behaviors. The abbreviated International Physical Activity Questionnaire was used to assess walking for transportation and use of public transportation. The Neighborhood Environment Walkability Scale was used to examine perceptions of the built environment. Associations were assessed by using multinomial logistic regression.

RESULTS

People who used public transportation at least once in the previous week were more likely to meet moderate physical activity recommendations by walking for transportation. Age and employment were significantly associated with public transportation use. Perceptions of high traffic speed and high crime were negatively associated with public transportation use.

CONCLUSION

Our results were consistent with previous research suggesting that public transportation use is related to walking for transportation. More importantly, our study suggests that perceptions of traffic speed and crime are related to frequency of public transportation use. Future interventions to encourage public transportation use should consider policy and planning decisions that reduce traffic speed and improve safety.

The contribution of walking to work to adult physical activity levels: a cross sectional study

Objective

To objectively examine the contribution to adult physical activity levels of walking to work.

Methods

Employees (n = 103; 36.3 ± 11.7 years) at 17 workplaces in south-west England, who lived within 2 miles (3.2 km) of their workplace, wore Actigraph accelerometers for seven days during waking hours and carried GPS receivers during the commute to and from work. Physical activity volume (accelerometer counts per minute (cpm)) and intensity (minutes of moderate to vigorous physical activity (MVPA)) were computed overall and during the walk to work.

Results

Total weekday physical activity was 45% higher in participants who walked to work compared to those travelling by car (524.6. ± 170.4 vs 364.6 ± 138.4 cpm) and MVPA almost 60% higher (78.1 ± 24.9 vs 49.8 ± 25.2 minutes per day). No differences were seen in weekend physical activity, and sedentary time did not differ between the groups. Combined accelerometer and GPS data showed that walking to work contributed 47.3% of total weekday MVPA.

Conclusions

Walking to work was associated with overall higher levels of physical activity in young and middle-aged adults. These data provide preliminary evidence to underpin the need for interventions to increase active commuting, specifically walking, in adults.

Physical activity and screen time in metabolically healthy obese phenotypes in adolescents and adults

INTRODUCTION

The purpose of this study was to examine levels of physical activity (PA) and screen time (ST) in metabolically healthy obese (MHO) and metabolically unhealthy obese (MUO) adolescents and adults.

METHODS

NHANES data from obese adolescents (12-18 years, BMI z-score ≥ 95th percentile) and adults (19-85 years, BMI ≥ 30 kg/m(2)) were pooled from 2003-2005 cycles. Metabolic phenotypes were categorized as MHO (0 or 1 cardiometabolic risk factor; triglycerides, HDL-C, blood pressure, or glucose) or MUO (≥2 cardiometabolic risk factors). Logistic regression models estimated associations between phenotype and PA/ST adjusted for age, gender, BMI, race/ethnicity, menopausal status, and NHANES cycle.

RESULTS

Among adolescents, PA was not associated with MHO. In contrast, MHO adults 19-44 years were 85% more likely to engage in active transportation and 2.7 times more likely to be involved in light intensity usual daily activity versus sitting. For each minute per day, adults 45-85 years were 36% more likely to have the MHO phenotype with higher levels of moderate PA. ST was not associated with metabolic phenotypes in adolescents or adults.

CONCLUSION

The current study provides evidence that PA, but not ST, differs between MHO and MUO in adults, but not in adolescents. Future studies are needed to confirm results.