Persons undergoing cardiac rehabilitation often have difficulties transferring the learned health behaviors into their daily routine which decreases their health status. Computer-based tailored interventions have been shown to be effective in increasing physical activity as well as fruit and vegetable consumption. The aim of this study is, to support people in transferring these two learned behavior changes and their antecedents into their daily life after cardiac rehabilitation in Germany, the Netherlands and China. The primary goal of the study is to analyze the effectiveness of a rehabilitation aftercare program with regard to the level of physical activity and nutrition.
For cardiac patients, medical rehabilitation after severe medical incidents (e.g., bypass surgery, heart attack, heart failure) is a central part in the recovery process. Health behavior change is an important subject within rehabilitation, and patients have to learn how to improve their eating habits and increase their physical activity. Back home, the adoption, maintenance and transfer into daily life of the behavior change is difficult. Until now it is unclear how such a complex behavior change actually takes place and how it can be supported effectively. On basis of theoretical assumptions (health action process approach, HAPA, Schwarzer, 1992, and compen¬satory carry-over action model, CCAM, Lippke, 2010) multiple behavior change will be observed and supported in an online intervention. To its effects, an intervention will be provided firstly targeting physical activity, secondly nutrition and compared with a waiting-list control group. Furthermore, very little is known about intercultural differences and therefore will be tested with rehabilitation patients with various cultural backgrounds. This all will be archived in the study RENATA. RENATA is an online based intervention for post-rehabilitative medical care, with the aim to integrate skills and behavior patterns, which were gained during the rehabilitation, into daily life of the participants. The goal is to maintain learning results for a long period of time, improve rehabilitation effects at a sustained basis and support the return to the labor market i.e. to work. The objective of this research project is to increase the self-regulatory abilities of participants to the extent that they are able to be regularly and autonomously physically active and eat healthy, so that they will increase their quality of life and become resilient. Due to the fact that there is only a limited number of evaluated programs, the present research project has the aim (1) to offer such a program and to test the effectiveness. Moreover, compared on an international level it will be considered (2) if such an aftercare program helps participants equally in different countries with rehabilitation systems varying in intensity. This question will be investigated by comparing Germany, the Netherlands and China. Due to the demographic changes, there are rising numbers of older employees in the labor market who will and should be kept in. Within this context, the last research aim is (3) to examine age effects in detail: Is it possible to determine age-specific differences in the effectiveness of the different interventions?
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
PREVENTION
Masking
SINGLE
Enrollment
1,000
Web-based support for behavior change regarding physical activity and fruit \& vegetable consumption
China
Hong Kong, Hong Kong, China
Germany
Bremen, City state Bremen, Germany
The Netherlands
Maastricht, LK, Netherlands
Change in dietary and physical activity behavior (self-report)
change scores (mean, residual change) and percentage meeting the recommendations
Time frame: Baseline to 8 weeks later
Body weight
Time frame: 8 weeks
BMI
Time frame: 8 weeks
Days of absence from work
Time frame: 8 weeks
Quality of Life
Time frame: 8 weeks
Quality of Life
Time frame: 3 months
Quality of Life
Time frame: 6 months
Quality of Life
Time frame: 12 months
Dietary and physical activity behavior (self-report)
Time frame: 3 months
Dietary and physical activity behavior (self-report)
Time frame: 6 months
Dietary and physical activity behavior (self-report)
Time frame: 12 months
Body weight
Time frame: 3 months
Body weight
Time frame: 6 months
Body weight
Time frame: 12 months
Days of absence from work
Time frame: 3 months
Days of absence from work
Time frame: 6 months
Days of absence from work
Time frame: 12 months
BMI
Time frame: 3 months
BMI
Time frame: 6 months
BMI
Time frame: 12 months
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