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Background: To better understand physical activity behavior and its health benefits in people living with health conditions, we studied people with and without 20 different self-reported health conditions with regard to (1) their physical activity levels, (2) factors correlated with these physical activity levels, and (3) the association between physical activity and all-cause mortality. Methods: We used a subsample (n = 88,659) of the Lifelines cohort study from the Netherlands. For people living with and without 20 different self-reported health conditions, we studied the aforementioned factors in relation to physical activity. Physical activity was assessed with the Short Questionnaire to Assess Health-Enhancing Physical Activity Questionnaire, and mortality data were obtained from the Dutch death register. Results: People with a reported health condition were less likely to meet physical activity guidelines than people without a reported health condition (odds ratios ranging from 0.55 to 0.89). Higher body mass index and sitting time, and lower self-rated health, physical functioning, and education levels were associated with lower odds of meeting physical activity guidelines across most health conditions. Finally, we found a protective association between physical activity and all-cause mortality in both people living with and without different health conditions. Conclusion: People living with different health conditions are generally less physically active compared with people living without a health condition. Both people living with and without self-reported health conditions share a number of key factors associated with physical activity levels. We also observed the expected protective association between physical activity and all-cause mortality. [ABSTRACT FROM AUTHOR]

To gather insight on how Health in All Policies (HiAP) is applied in practice, we carried out a case study on transport policies intended to stimulate a shift from car use to bicycling. We reviewed 3 years (2010, 2011, and 2012) of national budgets and policy documents in the Netherlands, followed by two focus group sessions and a second round of document analysis. We found to our surprise, given the country's history of bicycle promotion, that no HiAP approaches for bicycle promotion remain in place in national transport policies. The Netherlands may face serious challenges in the near future for facilitating bicycle use. Inclusion of health goals requires that the health sector work towards acquiring a better understanding of core values in other sector's policies. [ABSTRACT FROM AUTHOR]

Background: One way to increase physical activity is to stimulate a shift from car use to walking or cycling. In single-purpose trips, purpose was found to be an important predictor of transport choice. However, as far as known, no studies have been conducted to see how trips with combined purposes affect this decision. This study was designed to provide insight into associations between combined purposes and transport choice. Methods: An online questionnaire (N = 3,663) was used to collect data concerning transport choice for four primary purposes: shopping, going to public natural spaces, sports, and commuting. Per combination of primary trip purpose and transport choice, participants were asked to give examples of secondary purposes that they combine with the primary purpose. Logistic regression analyses were used to model the odds of both cycling and walking versus car use. Results: Primary trip purposes combined with commuting, shopping, visiting private contacts or medical care were more likely to be made by car than by cycling or walking. Combinations with visiting catering facilities, trips to social infrastructure facilities, recreational outings, trips to facilities for the provision of daily requirements or private contacts during the trip were more likely to be made by walking and/or cycling than by car. Conclusion: Combined trip purposes were found to be associated with transport choice. When stimulating active transport focus should be on the combined-trip purposes which were more likely to be made by car, namely trips combined with commuting, other shopping, visiting private contacts or medical care. [ABSTRACT FROM AUTHOR]

Introduction: This explorative study examines personal and neighbourhood characteristics associated with short-distance trips made by car, bicycle or walking in order to identify target groups for future interventions. Methods: Data were derived from ‘Mobility Research Netherlands (2004–2009; MON)’, a dataset including information regarding trips made by household members (n = ±53,000 respondents annually). Using postal codes of household addresses, MON data were enriched with data on neighbourhood typologies. Multilevel logistic modelling was used to calculate odds ratio (OR) of active transport versus car use associated with four different trip purposes (shopping (reference), commuting, taking or bringing persons or sports). A total of 277,292 short distance trips made by 102,885 persons were included in analyses. Results: Compared to women shopping, women less often take active transport to sports clubs (OR = 0.88) and men less often take active transport for shopping (OR = 0.92), or for bringing or taking persons (OR = 0.76). Those aged 25–34 years (OR = 0.83) and 35–44 years (OR = 0.96) were more likely to use active transport for taking or bringing persons than persons belonging to the other age groups (relative to trips made for shopping by those 65 years or over). A higher use of active transport modes by persons with an university or college degree was found and particularly persons living in urban-centre neighbourhoods were likely to use active transport modes. Conclusion: In developing policies promoting a mode shift special attention should be given to the following groups: a) men making short distance trips for taking or bringing persons, b) women making short distance trips to sport facilities, c) persons belonging to the age groups of 25–44 years of age, d) Persons with a primary school or lower general secondary education degree and persons with a high school or secondary school degree and e) persons living in rural or urban-green neighbourhoods. [ABSTRACT FROM AUTHOR]

Background: Evidence strongly suggests that the neighbourhood in which people live influences their health. Despite this, investigations of ethnic differences in cardiovascular risk factors have focused mainly on individual-level characteristics. The main purpose of this study was to investigate associations between neighbourhood-level environmental stressors (crime, housing density, nuisance from alcohol and drug misuse, quality of green space and social participation), and blood pressure (BP) and hypertension among different ethnic groups. Methods: Individual data from the Amsterdam Health Survey 2004 were linked to data on neighbourhood stressors creating a multilevel design for data analysis. The study sample consisted of 517 Dutch, 404 Turkish and 365 Moroccans living in 15 neighbourhoods in Amsterdam, the Netherlands. Results: Amongst Moroccans, high density housing and nuisance from drug misuse were associated with a higher systolic BP, while high quality of green space and social participation were associated with a lower systolic BP. High level of nuisance from drug misuse was associated with a higher diastolic BP. High quality of green space was associated with lower odds of hypertension. Amongst Turkish, high level of crime and nuisance from motor traffic were associated with a higher diastolic BP. Similar associations were observed among the Dutch group but none of the differences were statistically significant. Conclusion: The study findings show that neighbourhood-level stressors are associated with BP in ethnic minority groups but were less evident in the Dutch group. These findings might imply that the higher BP levels found in some ethnic minority groups might be partly due to their greater susceptibility to the adverse neighbourhood environment in which many ethnic minority people live. Primary prevention measures targeting these neighbourhood stressors may have an impact in reducing high BP related morbidity and mortality among ethnic minority groups. [ABSTRACT FROM AUTHOR]

Background: Evidence is emerging that more green space in the living environment is associated with better health, partly via the pathway of physical activity.Objectives: We explored the cross-sectional and longitudinal associations between green space and physical activity and several health indicators in the Doetinchem Cohort Study.Methods: A random sample of men and women aged 20-59years at baseline was measured max 5 times with 5year-intervals in the period 1987-2012. Data of round 3-5 were used. Measurements were based on examinations (height, weight, blood pressure) or questionnaires (physical activity, perceived health, depressive symptoms, chronic conditions). The percentage of green space (mainly urban and agricultural green) around the home address (125m and 1km) was calculated using satellite data.Results: More agricultural green was associated with less time spent on bicycling (β1km=-0.15, 95%CL -0.13; -0.04) and sports (β1km=-0.04, 95%CL -0.07; -0.01) and more time spent on gardening (β1km=0.16, 95%CL 0.12; 0.19) and odd jobs (β1km=0.10, 95%CL 0.05; 0.15), and this was in the other direction for urban green. For only a few of the many health indicators a positive association with green was found, and mainly for total green within 1km radius. Longstanding green or a transition to more green did not show more pronounced associations with health.Conclusions: For the green space range of the Doetinchem area the findings do not strongly support the hypothesis that the percentage of green in the living environment affects health positively. The distinction by type of green may, however, be relevant for physical activity. [ABSTRACT FROM AUTHOR]

Abstract: Objective: To examine whether the “Short QUestionnaire to ASsess Health-enhancing physical activity” (SQUASH) and the “Injuries and Physical Activity in the Netherlands” questionnaire (“Ongevallen en Bewegen in Nederland,” OBiN) were valid in assessing adherence to physical activity (PA) guidelines. Study Design and Setting: Participants (N =187) aged 20–69 years were categorized as “inactive,” “semiactive,” or “norm-active” according to the Dutch PA, the American College of Sports Medicine (ACSM), and the combined guideline (adhering to either or both of two other guidelines) by the questionnaires and a combined heart rate monitor and accelerometer (Actiheart). Percentage of exact agreement and maximum disagreement (difference of two categories) for the categorization between questionnaires and Actiheart was calculated. Results: The SQUASH had a significant higher agreement than the OBiN for the Dutch PA (SQUASH: 78%, OBiN: 46%; P <0.01) and combined guideline (SQUASH: 84%, OBiN: 55%; P <0.01). Both questionnaires had a low agreement regarding the ACSM guideline (SQUASH: 37%, OBiN: 34%; P =0.45). The SQUASH had a significant higher maximum disagreement than the OBiN for this guideline (SQUASH: 19.8%, OBiN 8%; P <0.01). Conclusion: The SQUASH was a more valid measure than the OBiN for categorizing adults according to the Dutch PA and the combined guideline. Both questionnaires failed to correctly categorize adults according to the ACSM guideline. [Copyright &y& Elsevier]

Background: Public policy is increasingly recognized as an important component of physical activity promotion. This paper reports on the current status of physical activity policy development and implementation in four European countries based on the Health-Enhancing Physical Activity Policy Audit Tool (HEPA PAT) developed by WHO. It compares the findings to previous studies and discusses the general utility of this tool and its unique features in relation to other instruments., Methods: The study was conducted as part of the Policy Evaluation Network ( www.jpi-pen.eu ) in Germany, Ireland, the Netherlands and Poland. Data collection built upon information obtained via the EU Physical Activity Monitoring Framework survey, additional desk research and expert opinion. Data analysis employed Howlett's policy cycle framework to map and compare national physical activity policies in the four countries., Results: In all countries under study, policy agenda-setting is influenced by prevalence data from national health monitoring systems, and the sport and/or health sector takes the lead in policy formulation. Key policy documents were located mainly in the health sector but also in sport, urban design and transport. Physical activity programmes implemented to meet policy objectives usually cover a broad range of target groups, but currently only a small selection of major policies are evaluated for effectiveness. National experts made several suggestions to other countries wishing to establish physical activity policies, e.g. regarding cross-sectoral support and coordination, comprehensive national action plans, and monitoring/surveillance., Conclusions: This study provides a detailed overview of physical activity policies in the four countries. Results show that national governments are already very active in the field but that there is room for improvement in a number of areas, e.g. regarding the contribution of sectors beyond sport and health. Using the HEPA PAT simultaneously in four countries also showed that procedures and timelines have to be adapted to national contexts. Overall, the instrument can make an important contribution to understanding and informing physical activity policy, especially when used as an add-on to regular monitoring tools like the EU HEPA Monitoring Framework.

Objectives: Dog owners walking their dog in natural outdoor environments (NOE) may benefit from the physical activity facilitated by dog walking and from time spent in nature. However, it is unclear whether dog owners receive additional health benefits associated with having access to NOE above the physical activity benefit of walking with their dog. We investigated associations between dog ownership, walking, time spent in NOE and health and whether these associations differed among those with good and poor access to NOE and those living in green and less green areas., Design: Cross-sectional study., Setting: The Positive Health Effects of the Natural Outdoor Environment in Typical Populations in Different Regions in Europe project., Participants: n=3586 adults from Barcelona (Spain), Doetinchem (the Netherlands), Kaunas (Lithuania) and Stoke-on-Trent (UK)., Data Collection and Analysis: We calculated access to NOE with land maps and residential surrounding greenness with satellite data. Leisure time walking, time spent in NOE and general and mental health status were measured using validated questionnaires. Associations were estimated using multilevel analysis with a random intercept defined at the neighbourhood level., Results: Dog ownership was associated with higher rates of leisure time walking and time spending in NOE (OR 2.17, 95% CI 1.86 to 2.54 and 2.37, 95% CI 2.02 to 2.79, respectively). These associations were stronger in those living within 300 m of a NOE and in greener areas. No consistent associations were found between dog ownership and perceived general or mental health status., Conclusions: Compared with non-dog owners, dog owners walked more and spent more time in NOE, especially those living within 300 m of a NOE and in greener areas. The health implications of these relationships should be further investigated. In a largely physically inactive society, dog walking in NOE may be a simple way of promoting physical activity and health., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Background: Outdoor play is a cheap and natural way for children to be physically active., Purpose: This study aims to identify physical as well as social correlates of outdoor play in the home and neighborhood environment among children of different age groups., Methods: Cross-sectional data were derived from 6470 parents of children from 42 primary schools in four Dutch cities by means of questionnaires (2007-2008). Multivariate sequential Poisson GEE analyses were conducted (2010) to quantify the correlation between physical and social home and neighborhood characteristics and outdoor play among boys and girls aged 4-6 years, 7-9 years, and 10-12 years., Results: This study showed that next to proximal (home) environmental characteristics such as parental education (RR=0.93-0.97); the importance parents pay to outdoor play (RR=1.32-1.75); and the presence of electronic devices in the child's own room (RR=1.04-1.15), several neighborhood characteristics were significantly associated with children's outdoor play. Neighborhood social cohesion was related to outdoor play in five of six subgroups (RR=1.01-1.02), whereas physical neighborhood characteristics (e.g., green neighborhood type, presence of water, diversity of routes) were associated with outdoor play in specific subgroups only., Conclusions: Neighborhood social cohesion was related to outdoor play among children of different age and gender, which makes it a promising point of action for policy development. Policies aimed at improving physical neighborhood characteristics in relation to outdoor play should take into account age and gender of the target population., (2010 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.)

Objectives: To gain insight in realistic policy targets for overweight at a population level and the accompanying costs. Therefore, the effect on overweight prevalence was estimated of large scale implementation of a community intervention (applied to 90% of general population) and an intensive lifestyle program (applied to 10% of overweight adults), and costs and cost-effectiveness were assessed., Methods: Costs and effects were based on two Dutch projects and verified by similar international projects. A markov-type simulation model estimated long-term health benefits, health care costs and cost-effectiveness., Results: Combined implementation of the interventions--at the above mentioned scale--reduces prevalence rates of overweight by approximately 3 percentage points and of physical inactivity by 2 percentage points after 5 years, at a cost of 7 euros per adult capita per year. The cost-effectiveness ratio of combined implementation amounts to euro 6000 per life-year gained and euro 5700 per QALY gained (including costs of unrelated diseases in life years gained). Sensitivity analyses showed that these ratios are quite robust., Conclusions: A realistic policy target is a decrease in overweight prevalence of three percentage points, compared to a situation with no interventions. In reality, large scale implementation of the interventions may not counteract the expected upward trends in The Netherlands completely. Nonetheless, implementation of the interventions is cost-effective.

Background: Physical activity is thought to facilitate cognitive performance and to slow down the rate of age-related cognitive decline. This study aimed to investigate the association between the time spent on physical activity as well as the average intensity of these activities and cognitive function., Design: Cross-sectional analysis., Methods: Our study population comprised of 1927 healthy men and women aged 45-70 years in the Netherlands, examined from 1995 until 2000. Physical activity was assessed with an extensive questionnaire, and cognitive function by a neuropsychological test battery., Results: Multivariate linear regression analysis showed that intensity of weekly physical activities is significantly positively associated with processing speed, memory, mental flexibility and overall cognitive function. No significant associations were observed between the time spent weekly on physical activities and the various cognitive domains. At the same time, variation in activities was significantly positively associated with speed, memory, mental flexibility and overall cognitive function., Conclusions: Average intensity of weekly physical activities and variation in activities are positively and significantly associated with cognitive performance on processing speed, memory and mental flexibility as well as performance on overall cognitive function.

Objective: To investigate associations between neighbourhood-level psychosocial stressors (i.e. experience of crime, nuisance from neighbours, drug misuse, youngsters frequently hanging around, rubbish on the streets, feeling unsafe and dissatisfaction with the quality of green space) and self-rated health in Amsterdam, the Netherlands., Participants: A random sample of 2914 subjects aged > or = 18 years from 75 neighbourhoods in the city of Amsterdam, the Netherlands., Design: Individual data from the Social State of Amsterdam Survey 2004 were linked to data on neighbourhood-level attributes from the Amsterdam Living and Security Survey 2003. Multilevel logistic regression was used to estimate odds ratios and neighbourhood-level variance., Results: Fair to poor self-rated health was significantly associated with neighbourhood-level psychosocial stressors: nuisance from neighbours, drug misuse, youngsters frequently hanging around, rubbish on the streets, feeling unsafe and dissatisfaction with green space. In addition, when all the neighbourhood-level psychosocial stressors were combined, individuals from neighbourhoods with a high score of psychosocial stressors were more likely than those from neighbourhoods with a low score to report fair to poor health. These associations remained after adjustments for individual-level factors (i.e. age, sex, educational level, income and ethnicity). The neighbourhood-level variance showed significant differences in self-rated health between neighbourhoods independent of individual-level demographic and socioeconomic factors., Conclusion: Our findings show that neighbourhood-level psychosocial stressors are associated with self-rated health. Strategies that target these factors might prove a promising way to improve public health.