This is the author accepted manuscript. The final version is available from Elsevier via the DOI in this record ; Introduction Blue spaces may benefit mental health and promote physical activity, although the evidence is still scarce. And benefits on physical health are less consistent. The objective of this randomized crossover study was to assess psychological and cardiovascular responses to blue spaces' exposure. Methods A sample of 59 healthy adult office workers was randomly assigned to a different environment (i.e. blue space, urban space, and control site) on 4 days each week, for 3 weeks. For 20 min per day, they either walked along a blue or an urban space or rested at a control site. Before, during and/or after the exposure, we measured self-reported well-being and mood, blood pressure, and heart rate variability parameters. For well-being, we also assessed the duration of these potential effects over time (at least 4 h after exposure). Results We found significantly improved well-being and mood responses immediately after walking in the blue space compared with walking in the urban space or when resting in the control site. Cardiovascular responses showed increased activity of the sympathetic nervous system, both during and after walking along the blue and urban spaces. However, cardiovascular responses measured after the walks, showed no statistically significant differences between the blue and the urban space environments. Conclusions Short walks in blue spaces can benefit both well-being and mood. However, we did not observe a positive effect of blue spaces for any of the cardiovascular outcomes assessed in this study. ; European Union Horizon 2020 ; Spanish Ministry of Economy and Competitiveness ; Instituto de Salud Carlos III ; European Social Fund
Low cost, personal air pollution sensors may reduce exposure measurement errors in epidemiological investigations and contribute to citizen science initiatives. Here we assess the validity of a low cost personal air pollution sensor. Study participants were drawn from two ongoing epidemiological projects in Barcelona, Spain. Participants repeatedly wore the pollution sensor − which measured carbon monoxide (CO), nitric oxide (NO), and nitrogen dioxide (NO2). We also compared personal sensor measurements to those from more expensive instruments. Our personal sensors had moderate to high correlations with government monitors with averaging times of 1-h and 30-min epochs (r ~ 0.38–0.8) for NO and CO, but had low to moderate correlations with NO2 (~0.04–0.67). Correlations between the personal sensors and more expensive research instruments were higher than with the government monitors. The sensors were able to detect high and low air pollution levels in agreement with expectations (e.g., high levels on or near busy roadways and lower levels in background residential areas and parks). Our findings suggest that the low cost, personal sensors have potential to reduce exposure measurement error in epidemiological studies and provide valid data for citizen science studies.
Introduction Numerous studies have found associations between characteristics of urban environments and risk factors for dementia and cognitive decline, such as physical inactivity and obesity. However, the contribution of urban environments to brain and cognitive health has been seldom examined directly. This cohort study investigates the extent to which and how a wide range of characteristics of urban environments influence brain and cognitive health via lifestyle behaviours in mid-aged and older adults in three cities across three continents. Methods and analysis Participants aged 50 79 years and living in preselected areas stratified by walkability, air pollution and socioeconomic status are being recruited in Melbourne (Australia), Barcelona (Spain) and Hong Kong (China) (n=1800 total; 600 per site). Two assessments taken 24 months apart will capture changes in brain and cognitive health. Cognitive function is gauged with a battery of eight standardised tests. Brain health is assessed using MRI scans in a subset of participants. Information on participants' visited locations is collected via an interactive web-based mapping application and smartphone geolocation data. Environmental characteristics of visited locations, including the built and natural environments and their by-products (e.g., air pollution), are assessed using geographical information systems, online environmental audits and self-reports. Data on travel and lifestyle behaviours (e.g., physical and social activities) and participants' characteristics (e.g., sociodemographics) are collected using objective and/or self-report measures. Ethics and dissemination The study has been approved by the Human Research Ethics Committee of the Australian Catholic University, the Institutional Review Board of the University of Hong Kong and the Parc de Salut Mar Clinical Research Ethics Committee of the Government of Catalonia. Results will be communicated through standard scientific channels. Methods will be made freely available via a study-dedicated website. trial registration number ACTRN12619000817145. IntroduCtIon Dementia prevention is a global health priority. Around 40 50million people suffer from dementia worldwide and these figures are expected to almost double by 20301 2 due to population ageing.3 Mild cognitive impairment (MCI) that is not severe enough to meet strengths and limitations of this study ? By recruiting participants from residential areas stratified by walkability, air pollution and socioeconomic status from three cities varying in exposures and lifestyle behaviours, this study will allow a robust estimation of dose response relationships of urban design and the relevant by-products (e.g., pollution) with brain and cognitive health. ? This study will provide a comprehensive assessment of multiple environmental factors and multiple lifestyle behaviours by which environments may affect brain and cognitive health. This will allow improved understanding of which environmental characteristics are related to brain and cognitive outcomes and by which mechanisms. ? The focus on locations visited for daily activities rather than only residential neighbourhoods will enable a more accurate estimation of individual exposure to features of the urban environment. ? The comprehensive assessment of lifestyle behaviours and individual-level moderators (apolipoprotein E genotype, physical health and personality traits) will assist the identification of optimal patterns of lifestyle activities that can be integrated in individually tailored lifestyle interventions, taking into account individual genetic factors and environmental living conditions. ? Current resources can support only two assessments, 24 months apart. This may not be a sufficiently long period to detect changes in certain exposures and/or outcomes. by copyright. BMJ Open: first published as 10.1136/bmjopen-2019-036607 on 18 March 2020. Downloaded from http://bmjopen.bmj.com/ on June 6, 2020 at Elsevier Bibliographic Database
