There is limited evidence that active transport is associated with more physical activity as well as lower body weight in adults. However, study heterogeneity, predominantly cross-sectional designs, and crude measures for active transport and physical activity impede quantitative conclusions.

Background:Over the past years there has been increasing interest in physical activity promotion and the development of appropriate policy. So far, there has been no comprehensive overview of the activities taking place in Europe in this area of public health policy.Methods:Using different search methods, 49 national policy documents on physical activity promotion were identified. An analysis grid covering key features was developed for the analysis of the 27 documents published in English.Results:Analysis showed that many general recommendations for policy developments are being followed, for example: general goals were formulated, an implementation plan was included, a timeframe and a responsible body for the implementation was often specified. However, limited evidence for intersectoral collaboration was found. Quantified goals for physical activity were the exception. Population groups most in need such as people with low levels of physical activity were rarely specifically targeted. Most policies emphasized the importance of an evaluation. However, only about half of them indicated a related intention or requirement.Conclusion:In recent years there has been a noticeable development of national policy documents on physical activity promotion. Following principles for policy development more closely could increase the effectiveness of their preparation and implementation further.

BackgroundWeb-based interventions are popular for promoting healthy lifestyles such as physical activity. However, little is known about user characteristics, adherence, attrition, and predictors of repeated participation on open access physical activity websites.ObjectiveThe focus of this study was Active-online, a Web-based individually tailored physical activity intervention. The aims were (1) to assess and compare user characteristics and adherence to the website (a) in the open access context over time from 2003 to 2009, and (b) between trial participants and open access users; and (2) to analyze attrition and predictors of repeated use among participants in a randomized controlled trial compared with registered open access users.MethodsData routinely recorded in the Active-online user database were used. Adherence was defined as: the number of pages viewed, the proportion of visits during which a tailored module was begun, the proportion of visits during which tailored feedback was received, and the time spent in the tailored modules. Adherence was analyzed according to six one-year periods (2003-2009) and according to the context (trial or open access) based on first visits and longest visits. Attrition and predictors of repeated participation were compared between trial participants and open access users.ResultsThe number of recorded visits per year on Active-online decreased from 42,626 in 2003-2004 to 8343 in 2008-2009 (each of six one-year time periods ran from April 23 to April 22 of the following year). The mean age of users was between 38.4 and 43.1 years in all time periods and both contexts. The proportion of women increased from 49.5% in 2003-2004 to 61.3% in 2008-2009 (P< .001). There were differences but no consistent time trends in adherence to Active-online. The mean age of trial participants was 43.1 years, and 74.9% were women. Comparing contexts, adherence was highest for registered open access users. For open access users, adherence was similar during the first and the longest visits; for trial participants, adherence was lower during the first visits and higher during the longest visits. Of registered open access users and trial participants, 25.8% and 67.3% respectively visited Active-online repeatedly (P< .001). Predictors of repeated use were male sex (odds ratio [OR] = 1.2, 95% confidence interval [CI] = 1.04-1.38) and increasing age category in registered open access users, and age 46-60 versus < 30 years (OR = 3.04, 95% CI = 1.25-7.38) and Swiss nationality (ORnonSwiss= 0.64, 95% CI = 0.41-1.00) in trial participants. Despite reminder emails, attrition was much higher in registered open access users compared with trial participants, with a median lifetime website usage of 0 days in open access users and 290 days in trial participants.ConclusionsAdherence, patterns of use, attrition, and repeated participation differed between trial participants and open access users. Reminder emails to encourage repeated participation were effective for trial participants but not for registered ope...

BackgroundEffective interventions are needed to reduce the chronic disease epidemic. The Internet has the potential to provide large populations with individual advice at relatively low cost.ObjectiveThe focus of the study was the Web-based tailored physical activity intervention Active-online. The main research questions were (1) How effective is Active-online, compared to a nontailored website, in increasing self-reported and objectively measured physical activity levels in the general population when delivered in a real-life setting? (2) Do respondents recruited for the randomized study differ from spontaneous users of Active-online, and how does effectiveness differ between these groups? (3) What is the impact of frequency and duration of use of Active-online on changes in physical activity behavior?MethodsVolunteers recruited via different media channels completed a Web-based baseline survey and were randomized to Active-online (intervention group) or a nontailored website (control group). In addition, spontaneous users were recruited directly from the Active-online website. In a subgroup of participants, physical activity was measured objectively using accelerometers. Follow-up assessments took place 6 weeks (FU1), 6 months (FU2), and 13 months (FU3) after baseline.ResultsA total of 1531 respondents completed the baseline questionnaire (intervention group n = 681, control group n = 688, spontaneous users n = 162); 133 individuals had valid accelerometer data at baseline. Mean age of the total sample was 43.7 years, and 1146 (74.9%) were women. Mixed linear models (adjusted for sex, age, BMI category, and stage of change) showed a significant increase in self-reported mean minutes spent in moderate- and vigorous-intensity activity from baseline to FU1 (coefficient = 0.14, P = .001) and to FU3 (coefficient = 0.19, P < .001) in all participants with no significant differences between groups. A significant increase in the proportion of individuals meeting the HEPA recommendations (self-reported) was observed in all participants between baseline and FU3 (OR = 1.47, P = .03), with a higher increase in spontaneous users compared to the randomized groups (interaction between FU3 and spontaneous users, OR = 2.95, P = .02). There were no increases in physical activity over time in any group for objectively measured physical activity. A significant relation was found between time spent on the tailored intervention and changes in self-reported physical activity between baseline and FU3 (coefficient = 1.13, P = .03, intervention group and spontaneous users combined). However, this association was no longer significant when adjusting for stage of change.ConclusionsIn a real-life setting, Active-online was not more effective than a nontailored website in increasing physical activity levels in volunteers from the general population. Further research may investigate ways of integrating Web-based physical activity interventions in a wider context, for example, primary care or workplace health promotion.

Background/aimLittle is known about the measurement properties of the self-administered Global Physical Activity Questionnaire (GPAQ) in Europe. The aim was to validate the self-administered GPAQ against accelerometry in Switzerland in German, French and Italian.MethodsParticipants of this cross-sectional study were recruited among members of the Swiss Food Panel (German-speaking and French-speaking samples) and as a convenience sample (Italian-speaking sample). They completed the GPAQ and wore an Actigraph GT3X+ accelerometer during 7 days in 2014/2015. GPAQ and accelerometer data on total physical activity and different intensities, as well as sitting time, were compared using Spearman correlations and Bland-Altman plots.ResultsComplete data were available for 354 participants (50.6% women, mean age: 47.0 years) on physical activity, and for 366 on sitting time. Correlations were highest for vigorous physical activity (r=0.46) and sitting time (r=0.47). A significant sex difference was apparent for vigorous physical activity (men: r=0.35 vs women: r=0.55; p=0.02). Some age differences were present especially for total physical activity, with the lowest correlations found for those aged 60+ years. The correlation for sitting time was significantly higher in the youngest age group (r=0.61) compared with the middle (r=0.38, p=0.01) and the oldest age groups (r=0.37, p=0.03). Total physical activity was 2.8 times higher according to the GPAQ than to accelerometer data.ConclusionsThe self-administered version of the GPAQ showed fair-to-moderate validity in the three languages tested, both for men and women and individuals aged ≤60 years. For older individuals, a careful interpretation of total physical activity is required.

Children are at an inherent injury risk while participating in physical activities. Most injury prevention efforts have focussed on the sports setting, but our results suggest that many children sustain an injury during unorganised leisure time physical activities.

Bringing together the key components for success within a national HEPA policy framework is not simple. This in-depth policy audit and country comparison highlighted similarities and differences and revealed new opportunities for consideration by other countries. These examples can inform countries within and beyond Europe and guide the development of national HEPA policy within the NCD prevention agenda.

ObjectivesPhysical activity (PA) is important for children's health but entails an inherent risk of injuries. The objective of this study was to assess activity-related correlates of injuries in children of the general population under the age of 10 while accounting for PA behaviour objectively assessed with accelerometers.DesignCross-sectional.SettingPrimary schools in Switzerland.Participants41 (56.9%) of 72 contacted schools were eligible. 11 (26.9%) of them agreed to participate. 3 more schools were recruited with a snowball system. On the individual level, 83.7% of the parents gave consent. Finally, 249 children with complete data (82.2%) from 20 grade 1–3 classes from 14 schools were analysed (mean age 7.9 years, 49.4% girls).Primary outcome measuresOutcome measures were retrospectively assessed injury incidence rates expressed as the number of injuries per 1000 h of objectively measured moderate-to-vigorous physical activity (MVPA) and injury risk depending on levels of PA, aerobic fitness and motor coordination, derived from logistic regression models.Results0.43 injuries/1000 h of MVPA (95% CI 0.28 to 0.58) were reported. After controlling for sociodemographic characteristics and accounting for exposure to PA, children with medium and high levels compared with those with low levels of aerobic fitness assessed with the 20 m shuttle run test were at decreased injury risk (OR=0.37 (95% CI 0.16 to 0.85)/OR=0.29 (0.16 to 0.63)). Children with high motor coordination scores assessed with the “Körperkoordinationstest für Kinder” test were at increased injury risk compared with those in the normal range (2.59 (1.04 to 6.32)). Levels of objectively assessed PA were not associated with injury risk; they were neither expressed as rates nor as cumulative incidence.ConclusionsThis study provides novel data showing that low levels of fitness and high coordinative skills, but not objectively assessed levels of PA, were related to injury risk in children under the age of 10.