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- aggregation classification "A1".
- aggregation creator B192185.
- aggregation creator B192186.
- aggregation creator person.
- aggregation date "2010".
- aggregation format "application/pdf".
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- aggregation isPartOf urn:issn:1753-8157.
- aggregation language "eng".
- aggregation rights "I have transferred the copyright for this publication to the publisher".
- aggregation subject "Medicine and Health Sciences".
- aggregation title "Surfing depth on a behaviour change website: predictors and effects on behaviour".
- aggregation abstract "The primary objectives of the present study were to gain insight into website use and to predict the surfing depth on a behaviour change website and its effect on behaviour. Two hundred eight highly educated adults from the intervention condition of a randomised trial received access to a medical intervention, individual coaching (by e-mail, post, telephone or face-to-face) and a behaviour change website. Website use (e.g. surfing depth, page view duration) was registered. Online questionnaires for physical activity and fat intake were filled out at baseline and after 6 months. Hierarchical linear regression was used to predict surfing depth and its effect on behaviour. Seventy-five per cent of the participants visited the website. Fifty-one and fifty-six per cent consulted the physical activity and fat intake feedback, respectively. The median surfing depth was 2. The total duration of interventions by e-mail predicted deeper surfing (beta=0.36; p<0.001). Surfing depth did not predict changes in fat intake (beta=-0.07; p=0.45) or physical activity (beta=-0.03; p=0.72). Consulting the physical activity feedback led to more physical activity (beta=0.23; p=0.01). The findings from the present study can be used to guide future website development and improve the information architecture of behaviour change websites.".
- aggregation authorList BK452367.
- aggregation endPage "52".
- aggregation issue "2".
- aggregation startPage "41".
- aggregation volume "35".
- aggregation aggregates 1063445.
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- aggregation similarTo 17538157.2010.492922.
- aggregation similarTo LU-1063432.