Development of Web-Based Computer-Tailored Advice to Promote Physical Activity Among People Older Than 50 years

Peels, Denise Astrid; Stralen, Maartje M. van; Bolman, Catherine; Golsteijn, Rianne Henrica Johanna; Vries, Hein de; Mudde, Aart N.; Lechner, Lilian

doi:10.2196/jmir.1742

Cited by 56 publications

(83 citation statements)

References 39 publications

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“…This computer technology was first proposed via an automated computer system [23], evolving to a computer-tailored [24], and finally to a Web-based format [25-28]. At each stage of this development, significant effects on PA behavior were found [23,24,26-28].…”

Section: Main Text and Discussionmentioning

confidence: 99%

“…One of the most important failing of the Web-based PA promotion among older adults is about the high dropouts levels recorded in nearly all existing research protocols [25-27,31]. Approximately a 30% dropout rate is expected in a Web-based PA intervention, with systematically higher rates observed in the intervention groups compared to the control groups [27,29].…”

Section: Main Text and Discussionmentioning

confidence: 99%

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Web-based interventions to promote physical activity by older adults: promising perspectives for a public health challenge

Mouton

Cloes

2013

Arch Public Health

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Regular physical activity is associated with a wide range of health benefits. As population age, promotion of physical activity should specifically target older adults, an expanding group involving potential higher health care costs in the near future. Innovative interventions focusing on physical activity behaviors of senior adults exposed promising results, most recently through the use of the Internet. If seniors and Internet are generally considered as two opposite concepts, arguments in favour of bringing them together in a public health perspective have been identified by the recent literature. Older adults are the fastest growing group of Internet users and are more prone than younger to use it for health-related subjects. Web-based interventions are effective in many health promotion sectors, including physical activity. This is particularly true when interventions target the environmental determinants of each senior citizen and are specifically designed for this population. Those early research findings must clearly be extended, particularly regarding to the long term effects of Web-based physical activity interventions. Solutions that will reduce the high dropout rate recorded in the existing literature must also be considered as a priority in order to ensure the development of this forward-looking field of research.

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Section: Main Text and Discussionmentioning

confidence: 99%

Section: Main Text and Discussionmentioning

confidence: 99%

Web-based interventions to promote physical activity by older adults: promising perspectives for a public health challenge

Mouton

Cloes

2013

Arch Public Health

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“…Tailored advice is based on the answers given in the previous assessment [16,18] and comprises between five and eleven pages of material, adapted according to changes in the participant’s PA behaviour and determinant scores [16,18]. …”

Section: Methodsmentioning

confidence: 99%

Correlates of the Intention to Implement a Tailored Physical Activity Intervention: Perceptions of Intermediaries

Peels

Mudde

Bolman

et al. 2014

IJERPH

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The public health impact of health behaviour interventions is highly dependent on large-scale implementation. Intermediaries—intervention providers—determine to a large extent whether an intervention reaches the target population, and hence its impact on public health. A cross-sectional study was performed to identify the correlates of intermediaries’ intention to implement a computer-tailored physical activity intervention. According to theory, potential correlates are intervention characteristics, organisational characteristics, socio-political characteristics and intermediary characteristics. This study investigated whether intermediary characteristics mediated the association between the intervention, organisational and socio-political characteristics and intention to implement the intervention. Results showed that intervention characteristics (i.e., observability (B = 0.53; p = 0.006); relative advantage (B = 0.79; p = 0.020); complexity (B = 0.80; p < 0.001); compatibility (B = 0.70; p < 0.001)), organisational characteristics (i.e., type of organization (B = 0.38; p = 0.002); perceived task responsibility (B = 0.66; p ≤ 0.001); capacity (B = 0.83; p < 0.001)), and the social support received by intermediary organisations (B = 0.81; p < 0.001) were associated with intention to implement the intervention. These factors should thus be targeted by an implementation strategy. Since self-efficacy and social norms perceived by the intermediary organisations partially mediated the effects of other variables on intention to implement the intervention (varying between 29% and 84%), these factors should be targeted to optimise the effectiveness of the implementation strategy.

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“…In the field of health promotion, the Internet has become an important medium for the delivery of behavioral change interventions [1,2]. Health professionals have started to deliver several lifestyle behavior interventions through the web, including interventions aimed at smoking cessation [3], nutrition behavior [4], and physical activity [5,6]. …”

Section: Introductionmentioning

confidence: 99%

Influence of Delivery Strategy on Message-Processing Mechanisms and Future Adherence to a Dutch Computer-Tailored Smoking Cessation Intervention

Stanczyk¹,

Crutzen²,

Bolman³

et al. 2013

J Med Internet Res

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BackgroundSmoking tobacco is one of the most preventable causes of illness and death. Web-based tailored smoking cessation interventions have shown to be effective. Although these interventions have the potential to reach a large number of smokers, they often face high attrition rates, especially among lower educated smokers. A possible reason for the high attrition rates in the latter group is that computer-tailored smoking cessation interventions may not be attractive enough as they are mainly text-based. Video-based messages might be more effective in attracting attention and stimulating comprehension in people with a lower educational level and could therefore reduce attrition rates.ObjectiveThe objective of the present study was to investigate whether differences exist in message-processing mechanisms (attention, comprehension, self-reference, appreciation, processing) and future adherence (intention to visit/use the website again, recommend the website to others), according to delivery strategy (video or text based messages) and educational level, to a Dutch computer-tailored smoking cessation program.MethodsSmokers who were motivated to quit within the following 6 months and who were aged over 16 were included in the program. Participants were randomly assigned to one of two conditions (video/text CT). The sample was stratified into 2 categories: lower and higher educated participants. In total, 139 participants completed the first session of the web-based tailored intervention and were subsequently asked to fill out a questionnaire assessing message-processing mechanisms and future adherence. ANOVAs and regression analyses were conducted to investigate the differences in message-processing mechanisms and future adherence with regard to delivery strategy and education.ResultsNo interaction effects were found between delivery strategy (video vs text) and educational level on message-processing mechanisms and future adherence. Delivery strategy had no effect on future adherence and processing mechanisms. However, in both groups results indicated that lower educated participants showed higher attention (F 1,138=3.97; P=.05) and processing levels (F 1,138=4.58; P=.04). Results revealed also that lower educated participants were more inclined to visit the computer-tailored intervention website again (F 1,138=4.43; P=.04).ConclusionsComputer-tailored programs have the potential to positively influence lower educated groups as they might be more involved in the computer-tailored intervention than higher educated smokers. Longitudinal studies with a larger sample are needed to gain more insight into the role of delivery strategy in tailored information and to investigate whether the intention to visit the intervention website again results in the ultimate goal of behavior change.Trial RegistrationNetherlands Trial Register (NTR3102).

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Development of Web-Based Computer-Tailored Advice to Promote Physical Activity Among People Older Than 50 years

Cited by 56 publications

References 39 publications

Web-based interventions to promote physical activity by older adults: promising perspectives for a public health challenge

Web-based interventions to promote physical activity by older adults: promising perspectives for a public health challenge

Correlates of the Intention to Implement a Tailored Physical Activity Intervention: Perceptions of Intermediaries

Influence of Delivery Strategy on Message-Processing Mechanisms and Future Adherence to a Dutch Computer-Tailored Smoking Cessation Intervention

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