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Abstract Background Counseling in combination with pedometer use has proven to be effective in increasing physical activity and improving health outcomes. We investigated the cost-effectiveness of this intervention targeted at one million insufficiently active adults who visit their general practitioner in the Netherlands. Methods We used the RIVM chronic disease model to estimate the long-term effects of increased physical activity on the future health care costs and quality adjusted life years (QALY) gained, from a health care perspective. Results The intervention resulted in almost 6000 people shifting to more favorable physical-activity levels, and in 5100 life years and 6100 QALYs gained, at an additional total cost of EUR 67.6 million. The incremental cost-effectiveness ratio (ICER) was EUR 13,200 per life year gained and EUR 11,100 per QALY gained. The intervention has a probability of 0.66 to be cost-effective if a QALY gained is valued at the Dutch informal threshold for cost-effectiveness of preventive intervention of EUR 20,000. A sensitivity analysis showed substantial uncertainty of ICER values. Conclusion Counseling in combination with pedometer use aiming to increase physical activity may be a cost-effective intervention. However, the intervention only yields relatively small health benefits in the Netherlands.

Abstract Background Despite recognized benefits of regular physical activity on musculoskeletal fitness as well as general health, little is known about the physical activity behavior of patients after Total Hip Arthroplasty (THA). So far, no physical activity questionnaire has been validated in this category of patients. As the Short Questionnaire to Assess Health-enhancing physical activity (SQUASH) has been shown to be a fairly reliable and valid tool to gauge the physical activity behavior of the general Dutch adult population, we measured the reliability and relative validity of this tool in patients after THA. Methods 44 patients (17 men and 27 women, mean age 71 ± 8 years) completed the SQUASH twice with an in-between period of 2 to 6 weeks (mean 3.7). Reliability was determined by calculating the Spearman correlation coefficient between the activity scores of the separate questions as well as the total activity scores from both administrations. Additionally, a Bland & Altman analysis was performed for the total activity scores. Relative validity was determined using the Actigraph™ accelerometer, worn by 39 patients (15 men and 24 women, mean age 70 ± 8 years) for a 2-week period following the second questionnaire, as a criterion measure. Results Spearman's correlation coefficient for overall reliability was 0.57. It varied between 0.45 and 0.90 for the separate questions. No systematic biases between readings were found. The Spearman correlation between Actigraph™ readings and total activity score was 0.67. It was 0.56 for total minutes of activity, 0.20 for time spent in light intensity activity, 0.40 for moderate activity and 0.35 for vigorous activity. Systematic bias was found between the SQUASH and the Actigraph™. Conclusion The SQUASH can be considered to be a fairly reliable tool to assess the physical activity behavior of patients after THA. Validity was found to be comparable with those of other questionnaires, and as it is short and easy to fill in, it may prove to be a useful tool to assess physical activity in this particular subset of the population. However, the considerable systematic bias found in this study illustrates the need for further analysis of the validity of the SQUASH.

Objectives: Lack of physical activity (PA) has been hypothesised as an underlying mechanism in the adverse health effects of shift work. Therefore, our aim was to compare non-occupational PA levels between shift workers and non-shift workers. Furthermore, exposure-response relationships for frequency of night shifts and years of shift work regarding non-occupational PA levels were studied., Methods: Data of 5980 non-shift workers and 532 shift workers from the European Prospective Investigation into Cancer and Nutrition-Netherlands (EPIC-NL) were used in these cross-sectional analyses. Time spent (hours/week) in different PA types (walking/cycling/exercise/chores) and intensities (moderate/vigorous) were calculated based on self-reported PA. Furthermore, sports were operationalised as: playing sports (no/yes), individual versus non-individual sports, and non-vigorous-intensity versus vigorous-intensity sports. PA levels were compared between shift workers and non-shift workers using Generalized Estimating Equations and logistic regression., Results: Shift workers reported spending more time walking than non-shift workers (B=2.3 (95% CI 1.2 to 3.4)), but shift work was not associated with other PA types and any of the sports activities. Shift workers who worked 1-4 night shifts/month (B=2.4 (95% CI 0.6 to 4.3)) and ≥5 night shifts/month (B=3.7 (95% CI 1.8 to 5.6)) spent more time walking than non-shift workers. No exposure-response relationships were found between years of shift work and PA levels., Conclusions: Shift workers spent more time walking than non-shift workers, but we observed no differences in other non-occupational PA levels. To better understand if and how PA plays a role in the negative health consequences of shift work, our findings need to be confirmed in future studies., (Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.)

Background: According to current physical activity guidelines, a substantial percentage of the population in high-income countries is inactive, and inactivity is an important risk factor for chronic conditions and mortality. Financial incentives may encourage people to become more active. The objective of this review was to provide insight in the effectiveness of financial incentives used for promoting physical activity in the healthcare setting., Methods: A systematic literature search was performed in three databases: Medline, EMBASE and SciSearch. In total, 1395 papers published up until April 2015 were identified. Eleven of them were screened on in- and exclusion criteria based on the full-text publication., Results: Three studies were included in the review. Two studies combined a financial incentive with nutrition classes or motivational interviewing. One of these provided a free membership to a sports facility and the other one provided vouchers for one episode of aerobic activities at a local leisure center or swimming pool. The third study provided a schedule for exercise sessions. None of the studies addressed the preferences of their target population with regard to financial incentives. Despite some short-term effects, neither of the studies showed significant long-term effects of the financial incentive., Conclusions: Based on the limited number of studies and the diversity in findings, no solid conclusion can be drawn regarding the effectiveness of financial incentives on physical activity in the healthcare setting. Therefore, there is a need for more research on the effectiveness of financial incentives in changing physical activity behavior in this setting. There is possibly something to be gained by studying the preferred type and size of the financial incentive.

Background: In healthcare, the focus is currently shifting from someone's disabilities to someone's abilities, which is also evident from the increasing focus on vitality. Vitality (here defined as energy, motivation and resilience) is an often used concept, which also aims at someone's capabilities. However, little is known about vitality yet; in particular about its association with participation and societal costs., Methods: Within a cross-sectional design, information regarding vitality, participation and societal costs was collected among 8015 Dutch adults aged 20 years and over. Vitality was measured using the validated Dutch Vitality Questionnaire (Vita-16). Information on economic (i.e. want/able to work, work absenteeism, work performance), societal (i.e. voluntary work, informal care giving) and social participation (i.e. quantity and quality of social contacts) and societal costs (i.e. healthcare and work-related costs) was collected using an internet survey., Results: Significant associations were found between vitality and various economic (i.e.sustainable employability:want to work: β = 1.21, 95% CI: 0.99-1.43,able to work:β = 2.09, 95% CI: 1.79-2.38;work absenteeism: OR = 0.75, 95% CI: 0.71-0.79;work performance:β = 0.49, 95% CI: 0.46-0.52), societal (i.e.voluntary work, informal care) and social (i.e.quantity and quality of social contacts) participation measures, as well as between vitality and societal costs (i.e.healthcare costs:β = -213.73, 95% CI: €-311.13 to €-107.08),absenteeism costs: β = -338.57, 95% CI: €-465.36 to €-214.14 and presenteeism costs:β = -1293.31, 95% CI: €-1492.69 to €-1088.95)., Conclusion: This study showed significant positive associations between vitality and economic, societal and social participation and negative associations between vitality and societal costs. This may stimulate research on interventions enhancing and maintaining vitality and thereby contributing to improved participation and reduced costs., (© The Author 2015. Published by Oxford University Press on behalf of the European Public Health Association. All rights reserved.)

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.

Background: Physical inactivity is a significant predictor of several chronic diseases, becoming more prevalent as people age. Since the aging population increases demands on healthcare budgets, effectively stimulating physical activity (PA) against acceptable costs is of major relevance. This study provides insight into long-term health outcomes and cost-effectiveness of a tailored PA intervention among adults aged over fifty., Methods: Intervention participants (N = 1729) received tailored advice three times within four months, targeting the psychosocial determinants of PA. The intervention was delivered in different conditions (i.e. print-delivered versus Web-based, and with or without additional information on local PA opportunities). In a clustered RCT, the effects of the different intervention conditions were compared to each other and to a control group. Effects on weekly Metabolic Equivalents (MET)-hours of PA obtained one year after the intervention started were extrapolated to long-term outcomes (5-year, 10-year and lifetime horizons) in terms of health effects and quality-adjusted life years (QALYs) and its effect on healthcare costs, using a computer simulation model. Combining the model outcomes with intervention cost estimates, this study provides insight into the long-term cost-effectiveness of the intervention. Incremental cost-effectiveness ratios (ICERs) were calculated., Results: For all extrapolated time horizons, the printed and the Web-based intervention resulted in decreased incidence numbers for diabetes, colon cancer, breast cancer, acute myocardial infarctions, and stroke and increased QALYs as a result of increased PA. Considering a societal Willingness-to-Pay of €20,000/QALY, on a lifetime horizon the printed (ICER = €7,500/QALY) as well as the Web-based interventions (ICER = €10,100/QALY) were cost-effective. On a 5-year time horizon, the Web-based intervention was preferred over the printed intervention. On a 10-year and lifetime horizon, the printed intervention was the preferred intervention condition, since the monetary savings of the Web-based intervention did no longer outweigh its lower effects. Adding environmental information resulted in a lower cost-effectiveness., Conclusion: A tailored PA intervention in a printed delivery mode, without environmental information, has the most potential for being cost-effective in adults aged over 50., Trial Registration: The current study was registered at the Dutch Trial Register (NTR2297; April 26th 2010).

Background: Previous cross-sectional studies revealed that obesity is associated with lower health-related quality of life (HRQOL). This study aimed to investigate the longitudinal association between 5-year weight change and HRQOL., Methods: Data from 2414 Dutch men and women was collected. HRQOL was measured with the RAND-36. Weight change was calculated as change in weight between 1998 and 2003. Using generalized estimation equations, we primarily analyzed the influence of weight change on HRQOL for the total population and additionally, by change groups (weight losers, weight maintainers and weight gainers) using regression analysis. All analyses were stratified for gender., Results: After 5 years, 598 men (50%) and 646 women (54%) maintained their weight, 177 men (15%) and 163 women (14%) lost >2.5 kg and 410 men (35%) and 379 women (32%) gained >2.5 kg. Longitudinal associations of 5-year weight change and HRQOL were found for mental component score (MCS) in women (β = 0.13; 95% CI: 0.02-0.24), and physical component score (PCS) in men (β = -0.09; 95% CI: -0.17 to -0.00) and women (β = -0.10; 95% CI: -0.19 to -0.01). Categorizing for 5-year weight change showed that weight gainers and weight losers did not significantly differ from weight maintainers on both MCS and PCS for both men and women., Conclusion: Weight change over 5 years leaded to a slight, though significant reduction on the PCS in both genders. In women, we found a positive association between weight change and MCS.

Objectives: We examined health-related quality of life in adults who became physically active at recommended levels over a 10-year period compared with adults with different physical activity patterns. Methods. We examined men and women aged 26 to 70 years (mean [SD] = 47.4 [10.1]) in the Doetinchem Cohort Study 3 times between 1995 and 2009. We distinguished participants who became physically active (n = 618), remained active (n = 1286), remained inactive (n = 727), became physically inactive (n = 535), or with varying activity levels (n = 455) over 10 years. We used multivariable linear regression analyses to determine differences in health-related quality of life (survey similar to the 36-Item Short-Form Health Survey) at 10-year follow-up. Results. Adults who became physically active reported better physical functioning, vitality, and general health after 10 years than did persistently inactive adults and adults who became inactive. They also reported less bodily pain and better social functioning than adults who became inactive. No differences were observed with adults who remained active or with varying activity levels. Conclusions. Adopting a physically active lifestyle may result in a better health-related quality of life, comparable to remaining physically active over 10 years.

Objective. To explore the associations between sitting time in various domains and mental health for workers and nonworkers and the role of weight status. Design. Cross-sectional analyses were performed for 1064 respondents (47% men, mean age 59 years) from the Doetinchem Cohort Study 2008-2009. Sedentary behavior was measured by self-reported time spent sitting during transport, leisure time, and at work. Mental health was assessed by the Mental Health Inventory (MHI-5). BMI was calculated based on measured body height and weight. Results. Neither sitting time during transport nor at work was associated with mental health. In the working population, sitting during leisure time, and particularly TV viewing, was associated with poorer mental health. BMI was an effect modifier in this association with significant positive associations for healthy-weight non-workers and obese workers. Conclusion. Both BMI and working status were effect modifiers in the relation between TV viewing and mental health. More longitudinal research is needed to confirm the results and to gain insight into the causality and the underlying mechanisms for the complex relationships among sedentary behaviors, BMI, working status, and mental health.

Background: During the past decade, quality of life (QoL) has become an accepted measure of disease impact, therapeutic outcome, and evaluation of interventions. So far, very little is known about the effects of community-based interventions on people's QoL. Therefore, the effect of an integrative cardiovascular diseases community-based intervention programme 'Hartslag Limburg' on QoL after 5-years of intervention is studied., Methods: A longitudinal cohort study comparing 5-year mean change in QoL between the intervention (n = 2356) and reference group (n = 758). QoL outcomes were the physical and mental health composite scores (PCS and MCS) measured by the RAND-36. Analyses were stratified for gender and socio-economic status (SES)., Results: After 5-years of intervention we found no difference in mean change in PCS and MCS between the intervention and reference group in both genders and low-SES. However, for the moderate/high SES intervention group, the scales social functioning (-3.6, 95% CI:-6.1 to -1.2), physical role limitations (-5.3, 95% CI:-9.6 to -1.0), general mental health (-3.0, 95% CI:-4.7 to -1.3), vitality (-3.2, 95% CI:-5.1 to -1.3), and MCS (-1.8, 95% CI:-2.9 to -0.6) significantly changed compared with the reference group. These differences were due to a slight decrease of QoL in the intervention group and an increase of QoL in the reference group., Conclusion: Hartslag Limburg has no beneficial effect on people's physical and mental QoL after 5-years of intervention. In fact, subjects in the intervention group with a moderate/high SES, show a decrease on their mental QoL compared with the reference group.

Background: Physical activity is inversely related to cardiovascular diseases. However, the type of activities that contribute most to these beneficial effects remain unclear. For this reason, we investigated self-reported leisure time physical activities in relation to fatal/nonfatal cardiovascular disease incidence., Design: The Dutch Monitoring Project on Risk Factors for Chronic Diseases Study, carried out between 1993 and 1997, is a prospective cohort study of over 23000 men and women aged 20–65 years from the general Dutch population., Methods: From 1994 till 1997 physical activity was assessed with a questionnaire in 7451 men and 8991 women who were followed for an average of 9.8 years. Cox proportional hazards models were used adjusting for age, sex, other physical activities, smoking, alcohol consumption, and educational level., Results: Almost the entire study population (97%) was engaged in walking, about 75% in regular cycling, and about half the population in sports or gardening. Cycling [hazard ratio (HR): 0.82, 95% confidence interval (CI): 0.71–0.95] and sports (HR: 0.74, 95% CI: 0.64–0.87) were both inversely related to cardiovascular disease incidence, whereas walking and gardening were not. For sports (P < 0.001), but not for cycling (P = 0.06), we found a dose - response relationship with respect to cardiovascular disease incidence. Engaging in both cycling and sports resulted in an even greater risk reduction (HR: 0.64, 95% CI: 0.52–0.77)., Conclusion: In this relatively active population, types of activities of at least moderate intensity, such as cycling and sports were associated with lower CVD incidence, whereas activities of lower intensity, such as walking and gardening, were not.

Introduction: Leisure time physical activity in compliance with recommended levels is associated with improved health and lower mortality, but little is known on whether these physical activity habits are stable among adults and what characteristics predict physical activity changes. Our objective was to determine change in the levels of leisure time physical activity among adults during a period of 10 yr., Methods: Detailed information on time spent on cycling, gardening, doing odd jobs, and sports from three measurement periods (1993-1997, 1998-2002, and 2003-2007) of the population-based Doetinchem Cohort Study was used to define being active: spending at least 3.5 h·wk(-1) on moderate to vigorous physical activities, an approximation of the Dutch recommended level., Results: Almost one-third (31.4%) of the population were active at all three points in time, 3.6% were inactive, and 45.0% of the participants changed their level of physical activity, almost equally distributed over decreasers, increasers, and varying. Not smoking (odds ratio (OR) = 1.47, 95% confidence limits (CL) = 1.14-1.89) and high socioeconomic status (OR = 1.43, 95% CL = 1.07-1.92) were associated with staying active. Inactive men (OR = 0.73, 95% CL = 0.57-0.94) had the highest risk of staying inactive, whereas good perceived health was associated with becoming active (OR = 1.49, 95% CL = 1.09-2.03)., Conclusions: The finding that, in a decade, almost half of the population changed from active to inactive or vice versa affects the interpretation of the long-term health effects of physical activity measured only once, and it stresses the importance of interventions not only in increasing physical activity levels but also in maintaining a physically active lifestyle.

This study describes the association between weight status and psychological health, suicidal thoughts and suicide attempts in adolescents from a population-based study of 21,730 adolescents who responded to a classroom-based internet questionnaire. It demonstrated clear associations between weight status in adolescents and poor psychological health, suicidal thoughts and suicide attempts, especially in obese individuals. Obese boys and girls were more likely to be classified as "psychologically unhealthy" than were normal weight subjects. They also reported more suicidal thoughts and suicide attempts.

Background: Community-based health promotion is a widely advocated strategy in public health to favorably alter lifestyle. The aim of this study was to investigate the net effect of a cardiovascular disease-prevention program (Hartslag Limburg) on lifestyle factors after 5 years of intervention (1998-2003)., Methods: In a cohort study, 5-year mean changes in lifestyle factors (energy intake; fat intake; time spent on leisure-time physical activity; walking, bicycling, and sports; and smoking behavior) between subjects from the intervention area (n=2356) and the control area (n=758) were compared for men and women and for those with a low (less than intermediate secondary education) and a moderate (intermediate vocational or higher secondary education) or high (higher vocational education or university) educational level. Adjustments were made for age and the mean of the individual pre- and post-intervention measurement of the variable under study. When stratifying for gender, adjustments were made for educational level, and vice versa., Results: In general, lifestyle factors changed unfavorably in the control group, whereas changes were less pronounced or absent in the intervention group. The adjusted difference in mean change in lifestyle factors between the intervention group and the control group was significant (p

This review aimed to gain insight in the extent to which psychosocial effects of obesity prevention programmes have been studied, to give an overview of the methods used to measure the particular psychosocial aspects and - if possible - to quantify the effects found. Intervention studies (n = 267) covering the period 1990-October 2005 were derived from seven reviews about childhood obesity interventions. An additional search identified 2754 studies covering the period January 2005-February 2008. In total, 2901 papers (excluding 120 duplicates) were screened for inclusion. Sixty-nine papers covering 53 interventions were included and screened on measuring psychosocial variables. All original authors were contacted. Seven of the selected interventions measured psychosocial variables, five of which evaluated a net intervention effect as compared with a control condition. Only two interventions reported a statistically significant net intervention effect (a decrease in use of purging or diet pills and a decrease in peer ratings of aggression and observed verbal aggression). We conclude that a minority of childhood obesity interventions investigate the effects of their programmes on psychosocial well-being of children and adolescents. It is recommended that in the future, these programmes will be evaluated in a uniform way on a broad range of psychosocial aspects.

Objective: The aim of the present paper was to give insight into the practical consequences of using either single-level or multilevel regression analyses on data from research on environmental determinants of physical activity., Methods: For this purpose, results from single-level and multilevel regression analyses on comparable attributes of the environment were compared using a combination of individual and aggregated data, merged at the neighbourhood level., Results: Using only individual level data, applying multilevel instead of single-level analyses did not substantially influence the results. However, ignoring the multilevel structure of our data by applying single-level in stead of multilevel analyses resulted in statistically significant associations for all the environmental attributes under study. Moreover, using information on environmental attributes at both the individual and the contextual level to adjust associations at one level for the other level showed that associated environmental attributes tend to be associated either at the individual or at the contextual level., Conclusions: These results stress the importance for reviews and meta-analyses of recording type of measurement and type of analytical strategy used and incorporating them in the review process. Using advanced multilevel designs will still only partly solve the methodological issues involved in studying environmental attributes associated with physical activity, but it will help in disentangling this complex relationship. Therefore, it is recommended that, whenever there is a presumably relevant grouping (context; eg neighbourhoods) in a study, a multilevel approach should at least be considered.

Background: Studies on effectiveness of phytosterol/-stanol-enriched margarines in the community have received low priority. For postlaunch monitoring purposes including risk-benefit analyses, it is needed to investigate both exposure and effectiveness of these margarines., Objective: To study the use and effectiveness of phytosterol/-stanol-enriched margarine., Design, Setting and Subjects: The study population consisted of 2379 subjects that participated in a community intervention study ('Hartslag Limburg') aged 28-76 years. In 1998 and 2003, blood samples for total and high-density lipoprotein (HDL) cholesterol were obtained. A general questionnaire and food frequency questionnaire (FFQ) were administered. From 1999 onwards, phytosterol/-stanol-enriched margarines were introduced on the Dutch market. On the basis of 2003 data, subjects were classified in users of (a) phytosterol/-stanol-enriched margarine, (b) cholesterol-lowering drugs, (c) the combination (both enriched margarine and drugs) and (d) neither enriched margarines nor cholesterol-lowering drugs., Results: Mean (+/-s.d.) daily intake of phytosterol-enriched margarine (n=99) and phytostanol-enriched margarine (n=16) was 14+/-9 g. From 1998 to 2003, total serum cholesterol concentration changed significantly different among the four groups: in the combination users -2.04+/-1.50 mmol/l (-29%), in cholesterol-lowering drug users -1.09+/-1.17 mmol/l (-17%), in the enriched margarine users -0.24+/-0.75 mmol/l (-4%) and in non-users +0.10+/-0.72 mmol/l (+2%)(P<0.05)., Conclusion: Recommended doses are not consumed, but phytosterol/-stanol-enriched margarines can modestly reduce serum total cholesterol in the community. These margarines cannot equal the effect of cholesterol-lowering drugs, but may act additively. Further investigation of the health effects that may occur during simultaneous cholesterol lowering drugs and phytosterol-or -stanol-enriched margarines usage is important, as well as community education about the cholesterol lowering foods and drugs., Sponsorship: Netherlands Organization for Health Research and Development (ZonMW) (data collection of Hartslag Limburg and further data- analyses).

Objective: To investigate time trends in overweight and Leisure Time Physical Activities (LTPA) in The Netherlands since 1980. Intra-national differences were examined stratified for sex, age and urbanisation degree., Subjects and Methods: We used a random sample of about 140,000 respondents aged 20-69 years from the Health Interview Survey (Nethhis) and subsequent Permanent Survey on Living Conditions (POLS). Self-reported data on weight and height and demographic characteristics were gathered through interviews (every year) and data on LTPA were collected by self-administered questionnaires (1990-1997, 2001-2004). Linear regression analysis was performed for trend analyses., Results: During 1981-2004, mean body mass index (BMI) increased significantly by 1.0 kg/m(2) (average per year=0.05 kg/m(2)). Trends were similar across sex and different degrees of urbanisation, but varied across age groups. In 20-to 39-year-old women, mean BMI increased by 1.7 kg/m(2), which was more than in older age groups (P

Background: A widely advocated strategy in public health is community-based health promotion. The aim of this study was to investigate the net effect of a cardiovascular disease prevention program (Hartslag Limburg) on cardiovascular risk factors after 5 years of intervention., Design: Cohort study comparing 5-year mean change in risk factors between the intervention and reference area. The statistical analyses for the study were performed in 2005., Setting/participants: In 1998, 3000 subjects (aged 25 to 70) from the intervention area and 895 subjects from a reference area participated in the baseline measurement. Of these, 2414 intervention subjects and 758 reference subjects completed the follow-up measurement in 2003., Intervention: Hartslag Limburg is an integrative community-based cardiovascular disease prevention program promoting a healthy lifestyle., Main Outcome Measures: Body mass index (BMI), waist circumference, blood pressure, serum glucose (nonfasting), and serum total and high-density lipoprotein (HDL) cholesterol., Results: During the 5-year follow-up, risk factors changed unfavorably in the reference group, whereas changes were less pronounced or absent in the intervention group. The adjusted difference in mean change in risk factors between intervention and reference group was significant (p<0.05) for BMI: -0.36 kg/m(2) in men and -0.25 kg/m(2) in women; waist circumference -2.9 cm in men and -2.1 cm in women; systolic blood pressure: -7.8 mmHg in men and -5.5 mmHg in women; total cholesterol 0.11 mmol/L in women and finally serum glucose -0.23 mmol/L in women., Conclusions: Hartslag Limburg succeeded in reducing-and in some cases, preventing-age- and time-related increase in BMI, waist circumference, blood pressure, and, in women, nonfasting glucose concentration.

Background: Based on studies published so far, the protective effect of physical activity on stroke remains controversial. Specifically, there is a lack of insight into the sources of heterogeneity between studies., Methods: Meta-analysis of observational studies was used to quantify the relationship between physical activity and stroke and to explore sources of heterogeneity. In total, 31 relevant publications were included. Risk estimates and study characteristics were extracted from original studies and converted to a standard format for use in a central database., Results: Moderately intense physical activity compared with inactivity, showed a protective effect on total stroke for both occupational (RR = 0.64, 95% CI: 0.48-0.87) and leisure time physical activity (RR = 0.85, 95% CI: 0.78-0.93). High level occupational physical activity protected against ischaemic stroke compared with both moderate (RR = 0.77, 95% CI: 0.60-0.98) and inactive occupational levels (RR = 0.57, 95% CI: 0.43-0.77). High level compared with low level leisure time physical activity protected against total stroke (RR = 0.78, 95% CI: 0.71-0.85), haemorrhagic stroke (RR = 0.74, 95% CI: 0.57-0.96) as well as ischaemic stroke (RR = 0.79, 95% CI: 0.69-0.91). Studies conducted in Europe showed a stronger protective effect (RR = 0.47, 95% CI: 0.33-0.66) than studies conducted in the US (RR = 0.82, 95% CI: 0.75-0.90)., Conclusions: Lack of physical activity is a modifiable risk factor for both total stroke and stroke subtypes. Moderately intense physical activity is sufficient to achieve risk reduction.

Studies that relate change in physical activity to change in health-related quality of life in the general population are needed to confirm associations suggested by cross-sectional studies. In the present study, cross-sectional as well as longitudinal associations between leisure time physical activity and health-related quality of life were studied in an apparently healthy population. The present study showed cross-sectional associations between at least moderately intense leisure time physical activity and general health perceptions, vitality, physical functioning and role limitations due to physical health problems. No associations were present for total leisure time physical activity. Change in leisure time physical activity was associated with change in social functioning in men as well as in women, irrespective of the intensity of physical activity. Only in men, change in total leisure time physical activity was associated with change in vitality and general mental health. In our study, cross-sectional associations were not confirmed by longitudinal analyses. Cross-sectional associations were mainly found for physical components of health-related quality of life, whereas longitudinal associations were predominantly observed for mental components of health-related quality of life. Confirmation of our results by those of other studies is needed in order to quantify health promotion messages.

Purpose: The purpose of this study was to identify factors of the physical environment that may influence time spent on walking and bicycling., Methods: Demographic factors and time spent on walking and bicycling (during leisure time and for commuting purposes) were assessed with a self-administered questionnaire. GIS databases were used to objectively measure the total square area of green space and recreational space (woods, parks, sport grounds, allotments for vegetable gardens, and grounds for day trips) in a circle around the postal code of a respondent with a radius of 300 and 500 m. Multilevel regression analysis was used to study the association between walking and bicycling on the one hand, and green and recreational space on the other hand. Analyses were adjusted for gender, age, and educational level., Results: In a neighborhood defined as a circle with a 300-m radius, the square area of sport grounds was associated with bicycling in general and the square area of parks was associated with bicycling for commuting purposes. It is, however, very likely that these results reflect the association of living in the outskirts of town and time spent on bicycling., Conclusion: The present study showed green and recreational space, specifically sport grounds and parks, to be associated with time spent on bicycling.

Background/objectives: The purpose of this study is to determine reproducibility and relative validity of the Short QUestionnaire to ASsess Health-enhancing physical activity (SQUASH)., Methods: Participants (36 men and 14 women, aged 27-58) were asked to complete the SQUASH twice with an inbetween period of approximately 5 weeks. In addition, participants wore the Computer Science and Applications (CSA) Activity Monitor for a 2-week period following the first questionnaire., Results: The Spearman correlation for overall reproducibility of the SQUASH was 0.58 (95%-CI 0.36-0.74). Correlations for the reproducibility of the separate questions varied between 0.44 and 0.96. Spearman's correlation coefficient between CSA readings and the total activity score was 0.45 (95%-CI 0.17-0.66)., Conclusions: In conclusion, the SQUASH is a fairly reliable and reasonably valid questionnaire and may be used to order subjects according to their level of physical activity in an adult population. Because the SQUASH is a short and simple questionnaire, it may proof to be a very useful tool for the evaluation of health enhancing physical activity in large populations.