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OBJECTIVE: The aim of this study was to evaluate the use of and adherence to a 7-step strategy for the development, implementation, and continuation of a comprehensive, multicomponent lifestyle program. METHODS: Strategy use and adherence was assessed with 12 performance indicators. Data were collected by combining onsite monitoring with semi-structured interviews at baseline and follow-up (6, 12, and 18 months). RESULTS: Not all performance indicators were met so partial strategy adherence was obtained. The strategy could be improved on the following aspects: support among management, project structure, adaptation to needs of employees, planning, and maintenance. CONCLUSION: The results of this evaluation indicate that strategy adherence facilitated structured development and implementation. On the basis of the qualitative data, this study suggests that when improvements will be made on both the content and performance, the 7-step strategy could be an effective tool to successfully implement a multicomponent WHPP.

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BACKGROUND: Numerous worksite health promotion program (WHPPs) have been implemented the past years to improve employees' health and lifestyle (i.e., physical activity, nutrition, smoking, alcohol use and relaxation). Research primarily focused on the effectiveness of these WHPPs. Whereas process evaluations provide essential information necessary to improve large scale implementation across other settings. Therefore, this review aims to: (1) further our understanding of the quality of process evaluations alongside effect evaluations for WHPPs, (2) identify barriers/facilitators affecting implementation, and (3) explore the relationship between effectiveness and the implementation process. METHODS: Pubmed, EMBASE, PsycINFO, and Cochrane (controlled trials) were searched from 2000 to July 2012 for peer-reviewed (randomized) controlled trials published in English reporting on both the effectiveness and the implementation process of a WHPP focusing on physical activity, smoking cessation, alcohol use, healthy diet and/or relaxation at work, targeting employees aged 18-65 years. RESULTS: Of the 307 effect evaluations identified, twenty-two (7.2%) published an additional process evaluation and were included in this review. The results showed that eight of those studies based their process evaluation on a theoretical framework. The methodological quality of nine process evaluations was good. The most frequently reported process components were dose delivered and dose received. Over 50 different implementation barriers/facilitators were identified. The most frequently reported facilitator was strong management support. Lack of resources was the most frequently reported barrier. Seven studies examined the link between implementation and effectiveness. In general a positive association was found between fidelity, dose and the primary outcome of the program. CONCLUSIONS: Process evaluations are not systematically performed alongside effectiveness studies for WHPPs. The quality of the process evaluations is mostly poor to average, resulting in a lack of systematically measured barriers/facilitators. The narrow focus on implementation makes it difficult to explore the relationship between effectiveness and implementation. Furthermore, the operationalisation of process components varied between studies, indicating a need for consensus about defining and operationalising process components.

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BACKGROUND: Worksite health promotion programs (WHPPs) offer an attractive opportunity to improve the lifestyle of employees. Nevertheless, broad scale and successful implementation of WHPPs in daily practice often fails. In the present study, called BRAVO@Work, a 7-step implementation strategy was used to develop, implement and embed a WHPP in two different worksites with a focus on multiple lifestyle interventions.This article describes the design and framework for the formative evaluation of this 7-step strategy under real-time conditions by an embedded scientist with the purpose to gain insight into whether this this 7-step strategy is a useful and effective implementation strategy. Furthermore, we aim to gain insight into factors that either facilitate or hamper the implementation process, the quality of the implemented lifestyle interventions and the degree of adoption, implementation and continuation of these interventions. METHODS AND DESIGN: This study is a formative evaluation within two different worksites with an embedded scientist on site to continuously monitor the implementation process. Each worksite (i.e. a University of Applied Sciences and an Academic Hospital) will assign a participating faculty or a department, to implement a WHPP focusing on lifestyle interventions using the 7-step strategy. The primary focus will be to describe the natural course of development, implementation and maintenance of a WHPP by studying [a] the use and adherence to the 7-step strategy, [b] barriers and facilitators that influence the natural course of adoption, implementation and maintenance, and [c] the implementation process of the lifestyle interventions. All data will be collected using qualitative (i.e. real-time monitoring and semi-structured interviews) and quantitative methods (i.e. process evaluation questionnaires) applying data triangulation. Except for the real-time monitoring, the data collection will take place at baseline and after 6, 12 and 18 months. DISCUSSION: This is one of the few studies to extensively and continuously monitor the natural course of the implementation process of a WHPP by a formative evaluation using a mix of quantitative and qualitative methods on different organizational levels (i.e. management, project group, employees) with an embedded scientist on site. TRIAL REGISTRATION: NTR2861.

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PURPOSE: To develop and evaluate two artificial neural network (ANN) models based on single-sensor accelerometer data and an ANN model based on the data of two accelerometers for the identification of types of physical activity in adults. METHODS: Forty-nine subjects (21 men and 28 women; age range = 22-62 yr) performed a controlled sequence of activities: sitting, standing, using the stairs, and walking and cycling at two self-paced speeds. All subjects wore an ActiGraph accelerometer on the hip and the ankle. In the ANN models, the following accelerometer signal characteristics were used: 10th, 25th, 75th, and 90th percentiles, absolute deviation, coefficient of variability, and lag-one autocorrelation. RESULTS: The model based on the hip accelerometer data and the model based on the ankle accelerometer data correctly classified the five activities 80.4% and 77.7% of the time, respectively, whereas the model based on the data from both sensors achieved a percentage of 83.0%. The hip model produced a better classification of the activities cycling, using the stairs, and sitting, whereas the ankle model was better able to correctly classify the activities walking and standing still. All three models often misclassified using the stairs and standing still. The accuracy of the models significantly decreased when a distinction was made between regular versus brisk walking or cycling and between going up and going down the stairs. CONCLUSIONS: Relatively simple ANN models perform well in identifying the type but not the speed of the activity of adults from accelerometer data.

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BACKGROUND: Daily cycling to work has been shown to improve physical performance and health in men and women. It is very common in the Netherlands: the most recent data show that one quarter of commuting journeys are by bicycle. However, despite the effort going into campaigns to promote commuter cycling, about 30% of commuter journeys up to 5 kilometers are still by car. The question is how to stimulate commuter cycling more effectively. This article aims to contribute to a better understanding of the perceived barriers and facilitators of cyclists/non-cyclists and personal factors associated with commuter cycling. METHODS: A random sample of 799 Dutch employees (response rate 39.6%) completed an internet survey, which comprised two parts. One part of the questionnaire focused on the determinants of cycling behavior including equal numbers of personal, social factors and environmental factors. The other component focused on assessing data on physical activity (PA) behavior. Descriptive and logistic regression analyses were used to analyze factors associated with commuter cycling. RESULTS: Meeting the physical activity guideline was positively associated with commuter cycling. Television viewing and working full-time were negatively associated. Twenty-six percent of the participants met the PA guideline simply by cycling to work, with health as the main reason. The main barriers for non-cyclists (60%) were perspiration when arriving at work, weather and travelling time. Shorter travelling times compared with other transportation modes were an important facilitator. Environmental factors were positively related to more frequent and more convenient commuter cycling, but they were hardly mentioned by non-cyclists. CONCLUSIONS: This study shows that a relatively large group fulfils the PA recommendations merely by cycling to work. Personal factors (i.e., perceived time and distance) are major barriers to commuter cycling and should be targeted in cycling campaigns, especially in subgroups living within cycling distance to work. Targeting environmental determinants in such campaigns seems to be less important in the Netherlands.

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OBJECTIVE: To present the effects of a relatively modest environmental intervention on biological cardiovascular risk indicators. METHOD: A controlled trial, including two worksites. Measurements (i.e., body composition, blood pressure and serum cholesterol) took place at baseline and at 3- and 12-month follow-up. The 12-month environmental intervention (The Hague, The Netherlands, 2004) consisted of: a 'Food'-part: to stimulate healthier food choices by means of product information in the canteen, and a 'Steps'-part: focused on stimulating stair use by means of motivational prompts in staircases and on elevator doors. RESULTS: Significant differences in change between groups (n=540) in favor of the intervention group were found on: [1] total cholesterol for women (-0.35 mmol/l); [2] HDL for men at 3 months (0.05 mmol/l) and 12 months (0.10 mmol/l); and [3] the total-HDL ratio for the total intervention group at 3 and 12 months (-0.45 mmol/l). Both groups showed a decrease in all body composition values at both follow-ups. A significant difference in change in systolic BP was found in favor of the control group (approximately 4 mm Hg), due to an increase in the intervention group at both follow-ups. CONCLUSIONS: Based on the contrasting results, this modest environmental intervention was ineffective in reducing cardiovascular risk in a population of office workers.

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BACKGROUND: Eating patterns in Western industrialized countries are characterized by a high energy intake and an overconsumption of (saturated) fat, cholesterol, sugar and salt. Many chronic diseases are associated with unhealthy eating patterns. On the other hand, a healthy diet (low saturated fat intake and high fruit and vegetable intake) has been found important in the prevention of health problems, such as cancer and cardio-vascular disease (CVD). The worksite seems an ideal intervention setting to influence dietary behavior. The purpose of this study is to present the effects of a worksite environmental intervention on fruit, vegetable and fat intake and determinants of behavior. METHODS: A controlled trial that included two different governmental companies (n = 515): one intervention and one control company. Outcome measurements (short-fat list and fruit and vegetable questionnaire) took place at baseline and 3 and 12 months after baseline. The relatively modest environmental intervention consisted of product information to facilitate healthier food choices (i.e., the caloric (kcal) value of foods in groups of products was translated into the number of minutes to perform a certain (occupational) activity to burn these calories). RESULTS: Significant changes in psychosocial determinants of dietary behavior were found; subjects at the intervention worksite perceived more social support from their colleagues in eating less fat. But also counter intuitive effects were found: at 12 months the attitude and self-efficacy towards eating less fat became less positive in the intervention group. No effects were found on self-reported fat, fruit and vegetable intake. CONCLUSION: This environmental intervention was modestly effective in changing behavioral determinant towards eating less fat (social support, self-efficacy and attitude), but ineffective in positively changing actual fat, fruit and vegetable intake of office workers.

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BACKGROUND: It is now widely believed that health promotion strategies should go beyond education or communication to achieve significant behavioral changes among the target population. Environmental modifications are thought to be an important addition to a worksite health promotion program (WHPP). This review aimed to systematically assess the effectiveness of WHPPs with environmental modifications, on physical activity, dietary intake, and health risk indicators. METHODS: Online searches were performed for articles published up to January 2004 using the following inclusion criteria: (1) (randomized) controlled trial (RCT/CT); (2) intervention should include environmental modifications; (3) main outcome must include physical activity, dietary intake, and health risk indicators; and (4) healthy working population. Methodologic quality was assessed using a checklist derived from the methodologic guidelines for systematic reviews (Cochrane Back Review Group), and conclusions on the effectiveness were based on a rating system of five levels of evidence. RESULTS: Thirteen relevant, mostly multicenter, trials were included. All studies aimed to stimulate healthy dietary intake, and three trials focused on physical activity. Follow-up measurements of most studies took place after an average 1-year period. Methodologic quality of most included trials was rated as poor. However, strong evidence was found for an effect on dietary intake, inconclusive evidence for an effect on physical activity, and no evidence for an effect on health risk indicators. CONCLUSIONS: It is difficult to draw general conclusions based on the small number of studies included in this review. However, evidence exists that WHPPs that include environmental modifications can influence dietary intake. More controlled studies of high methodologic quality need to be initiated that investigate the effects of environmental interventions on dietary intake and especially on physical activity in an occupational setting.

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