The relation between proximity to and characteristics of green spaces to physical activity and health:A multi-dimensional sensitivity analysis in four European cities

Introduction: Non-communicable diseases are the global disease burden of our time, with physical inactivity identified as one major risk factor. Green spaces are associated with increased physical activity of nearby residents. But there are still gaps in understanding which proximity and what characteristics of green spaces can trigger physical activity. This study aims to unveil these differences with a rigorous sensitivity analysis. Methods: We gathered data on self-reported health and physical activity from 1365 participants in selected neighbourhoods in Porto, Nantes, Sofia, and Høje-Taastrup. Spatial data were retrieved from OpenStreetMap. We followed the PRIGSHARE guidelines to control for bias. Around the residential addresses, we generated seven different green space indicators for 15 distances (100–1500 m) using the AID-PRIGSHARE tool. We then analysed each of these 105 green space indicators together with physical activity and health in 105 adjusted structural equation models. Results: Green space accessibility and green space uses indicators showed a pattern of significant positive associations to physical activity and indirect to health at distances of 1100 m or less, with a peak at 600 m for most indicators. Greenness in close proximity (100 m) had significant positive effects on physical activity and indirect effects on health. Surrounding greenness showed positive direct effects on health at 500–1100 m and so do green corridors in 800 m network distance. In contrast, a high quantity of green space uses, and surrounding greenness measured in a larger radius (1100–1500 m) showed a negative relationship with physical activity and indirect health effects. Conclusions: Our results provide insight into how green space characteristics can influence health at different scales, with important implications for urban planners on how to integrate accessible green spaces into urban structures and public health decision-makers on the ability of green spaces to combat physical inactivity.</p

Action planning as predictor of health protective and health risk behavior: an investigation of fruit and snack consumption

BACKGROUND: Large discrepancies between people's intention to eat a healthy diet and actual dietary behavior indicate that motivation is not a sufficient instigator for healthy behavior. Research efforts to decrease this 'intention - behavior gap' have centered on aspects of self-regulation, most importantly self-regulatory planning. Most studies on the impact of self-regulatory planning in health and dietary behavior focus on the promotion of health protective behaviors. This study investigates and compares the predictive value of action planning in health protective behavior and the restriction of health risk behavior. METHODS: Two longitudinal observational studies were performed simultaneously, one focusing on fruit consumption (N = 572) and one on high-caloric snack consumption (N = 585) in Dutch adults. Structural equation modeling was used to investigate and compare the predictive value of action planning in both behaviors, correcting for demographics and the influence of motivational factors and past behavior. The nature of the influence of action planning was investigated by testing mediating and moderating effects. RESULTS: Action planning was a significant predictor of fruit consumption and restricted snack consumption beyond the influence of motivational factors and past behavior. The strength of the predictive value of action planning did not differ between the two behaviors. Evidence for mediation of the intention - behavior relationship was found for both behaviors. Positive moderating effects of action planning were demonstrated for fruit consumption, indicating that individuals who report high levels of action planning are significantly more likely to translate their intentions into actual behavior. CONCLUSION: The results indicate that the planning of specific preparatory actions predicts the performance of healthy dietary behavior and support the application of self-regulatory planning in both health protective and health risk behaviors. Future interventions in dietary modification may turn these findings to advantage by incorporating one common planning protocol to increase the likelihood that good intentions are translated into healthy dietary behavior

Sports participation, perceived neighborhood safety, and individual cognitions: how do they interact?

After publication of this work [Beenackers et al: Int J Behav Nutr Phys Act 2011, 8:76] it was realized that formula 3 and formula 4 in the Statistical Analysis section of the Methods were incorrectly listed. Since the formulas were correctly used in the analysis, this correction does not affect the results or conclusions of the paper

Overview of retrospective data harmonisation in the MINDMAP project : process and results

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Experiencing Financial Strain and Clinically Assessed Caries Experience in Dentate Adults Aged 25-44 Years: An Exploration of Potential Pathways

Large socioeconomic inequalities still exist in oral health. It is already known that oral health-related behaviour may contribute to these inequalities, but why people with a lower socioeconomic position behave less healthily is not easily understood. A possible explanation that integrates insights on health behaviour, stress, and financial resources is the pathway of behavioural responses to financial strain. The aim of this study was to assess to what extent financial strain is associated with clinically assessed caries experience in a population-based study of dentate adults, independently of other socioeconomic indicators. Furthermore, the potential mediating pathways of oral health-related behaviours (oral hygiene, dietary habits, preventive dental visits) were explored. Dentate participants, aged 25-44 years, taking part in a survey on oral health and preventive behaviour in the Netherlands in 2013 were clinically examined on - among others - caries experience (DMFS index) and level of oral hygiene (OHI-s index). Financial strain, frequency of tooth brushing, dietary habits, attendance of (preventive) dental visits in the past year, and demographic variables were assessed via questionnaires. Negative binomial hurdle models were used to study the association between financial strain and DMFS and between oral health behavioural indicators and DMFS. Although it was observed that experiencing financial strain did not seem to affect whether there is any caries experience or not, among those having any caries (DMFS >0) suffering from financial strain was associated with a higher caries prevalence, independent of educational level and income. None of the studied potential mediators could explain this association

AID-PRIGSHARE: Automatization of indicator development in green space health research in QGIS. Accompanying script to the PRIGSHARE reporting guidelines

In the interdisciplinary field of green space health research, there is a demand to reduce the effort to assess green space, especially for non-spatial disciplines. To address this issue, we developed AID-PRIGSHARE, an open-source script that automates over 400 QGIS processes to substantially reduces the time-intensive task of generating green space indicators. AID-PRIGSHARE calculates greenness, public green space, access to green infrastructure, and green space uses within distances of 100–1500 m around geolocations. This substantially reduces the effort for sensitivity analysis and may provide support for research that aims to understand the impact of different green space features and distances on health outcomes.</p