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| Name | Class |
|---|---|
| Maastricht University | OTHER |
| Institute of Physical Education and Sports Sciences | OTHER |
| Guangdong Provincial People's Hospital | OTHER |
| Hong Kong Baptist University |
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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?
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Control Group | No Intervention | Control Group will gain access to the intervention after the intervention group has finished the program (>8 weeks after signing up) | |
| Intervention Group I | Experimental | Self-regulation support Behavior sequence: Physical activity, then fruit & vegetable intake |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| self-regulation | Behavioral | Web-based support for behavior change regarding physical activity and fruit & vegetable consumption |
|
| Measure | Description | Time Frame |
|---|---|---|
| Change in dietary and physical activity behavior (self-report) | change scores (mean, residual change) and percentage meeting the recommendations | Baseline to 8 weeks later |
| Measure | Description | Time Frame |
|---|---|---|
| Body weight | 8 weeks | |
| BMI | 8 weeks | |
| Days of absence from work |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Affiliation | Role |
|---|---|---|
| Sonia Lippke, Prof. Dr. | Jacobs University Bremen | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| China | Hong Kong | Hong Kong | China | |||
| Germany |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 30455167 | Derived | Duan YP, Liang W, Guo L, Wienert J, Si GY, Lippke S. Evaluation of a Web-Based Intervention for Multiple Health Behavior Changes in Patients With Coronary Heart Disease in Home-Based Rehabilitation: Pilot Randomized Controlled Trial. J Med Internet Res. 2018 Nov 19;20(11):e12052. doi: 10.2196/12052. | |
| 30429112 | Derived |
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| ID | Term |
|---|---|
| D002318 | Cardiovascular Diseases |
| D006331 | Heart Diseases |
| D009043 | Motor Activity |
| D006184 | Habits |
| ID | Term |
|---|---|
| D001519 | Behavior |
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| ID | Term |
|---|---|
| D017009 | Professional Autonomy |
| ID | Term |
|---|---|
| D011364 | Professional Practice |
| D009934 | Organization and Administration |
| D006298 | Health Services Administration |
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| OTHER |
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| 8 weeks |
| Quality of Life | 8 weeks |
| Quality of Life | 3 months |
| Quality of Life | 6 months |
| Quality of Life | 12 months |
| Dietary and physical activity behavior (self-report) | 3 months |
| Dietary and physical activity behavior (self-report) | 6 months |
| Dietary and physical activity behavior (self-report) | 12 months |
| Body weight | 3 months |
| Body weight | 6 months |
| Body weight | 12 months |
| Days of absence from work | 3 months |
| Days of absence from work | 6 months |
| Days of absence from work | 12 months |
| BMI | 3 months |
| BMI | 6 months |
| BMI | 12 months |
| Bremen |
| Free Hanseatic City of Bremen |
| 28759 |
| Germany |
| The Netherlands | Maastricht | LK | 6211 | Netherlands |
| Storm V, Reinwand DA, Wienert J, Tan SL, Lippke S. The Mediating Role of Perceived Social Support Between Physical Activity Habit Strength and Depressive Symptoms in People Seeking to Decrease Their Cardiovascular Risk: Cross-Sectional Study. JMIR Ment Health. 2018 Nov 14;5(4):e11124. doi: 10.2196/11124. |
| 29967588 | Derived | Tan SL, Storm V, Reinwand DA, Wienert J, de Vries H, Lippke S. Understanding the Positive Associations of Sleep, Physical Activity, Fruit and Vegetable Intake as Predictors of Quality of Life and Subjective Health Across Age Groups: A Theory Based, Cross-Sectional Web-Based Study. Front Psychol. 2018 Jun 18;9:977. doi: 10.3389/fpsyg.2018.00977. eCollection 2018. |
| 28396306 | Derived | Duan YP, Wienert J, Hu C, Si GY, Lippke S. Web-Based Intervention for Physical Activity and Fruit and Vegetable Intake Among Chinese University Students: A Randomized Controlled Trial. J Med Internet Res. 2017 Apr 10;19(4):e106. doi: 10.2196/jmir.7152. |
| 27334562 | Derived | Kuhlmann T, Reips UD, Wienert J, Lippke S. Using Visual Analogue Scales in eHealth: Non-Response Effects in a Lifestyle Intervention. J Med Internet Res. 2016 Jun 22;18(6):e126. doi: 10.2196/jmir.5271. |
| 27068880 | Derived | Storm V, Dorenkamper J, Reinwand DA, Wienert J, De Vries H, Lippke S. Effectiveness of a Web-Based Computer-Tailored Multiple-Lifestyle Intervention for People Interested in Reducing their Cardiovascular Risk: A Randomized Controlled Trial. J Med Internet Res. 2016 Apr 11;18(4):e78. doi: 10.2196/jmir.5147. |
| 27066779 | Derived | Reinwand DA, Crutzen R, Storm V, Wienert J, Kuhlmann T, de Vries H, Lippke S. Generating and predicting high quality action plans to facilitate physical activity and fruit and vegetable consumption: results from an experimental arm of a randomised controlled trial. BMC Public Health. 2016 Apr 12;16:317. doi: 10.1186/s12889-016-2975-3. |
| 24245493 | Derived | Reinwand D, Kuhlmann T, Wienert J, de Vries H, Lippke S. Designing a theory- and evidence-based tailored eHealth rehabilitation aftercare program in Germany and the Netherlands: study protocol. BMC Public Health. 2013 Nov 19;13:1081. doi: 10.1186/1471-2458-13-1081. |