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Hintergrund
Einem Großteil der Bevölkerung gelingt es trotz ausreichenden Wissens um die protektiven Effekte nicht, ausreichende körperliche Aktivität in den Alltag zu integrieren. Digitale Assistenzsysteme könnten hierbei unterstützend eingesetzt werden. Dies setzt jedoch das Interesse potentieller Nutzer voraus.
Methode
In einer Online-Befragung wurden im Juni/Juli 2015 Mitarbeiter und Studierende der Universität Potsdam zum individuellen Ausmaß der sportlichen Aktivität, dem Interesse an elektronischer Trainingsunterstützung und weiteren Parametern befragt.
Ergebnis 1217 Studierende und 485 Mitarbeiter (67,3 bzw. 67,5% Frauen, 26±4,9 bzw. 42,7±11,7 Jahre) nahmen an der Studie teil. Die empfohlene sportliche Aktivität (≥3 Tage bzw. 150 min/Woche) wurde von 70,1% der Mitarbeiter und 52,7% der Studierenden nicht erreicht. Innerhalb dieser Gruppen zeigten 53,2% (Studierende) bzw. 44,2% (Mitarbeiter), unabhängig von Alter, Geschlecht, BMI bzw. Bildungsniveau, Interesse an einer elektronischen Trainingsunterstützung.
Schlussfolgerung
Auch in jüngeren Bevölkerungsgruppen mit hohem Bildungsniveau ist die Mehrzahl der Personen unzureichend körperlich aktiv. Ein Interesse an Trainingsunterstützung besteht in etwa der Hälfte dieser sportlich inaktiven Gruppe. Dies legt den Schluss nahe, dass der personalisierte Einsatz mobiler Assistenzsysteme für die positive Beeinflussung des Lebensstils zunehmend an Bedeutung gewinnen könnte.
Background: Although the benefits for health of physical activity (PA) are well documented, the majority of the population is unable to implement present recommendations into daily routine. Mobile health (mHealth) apps could help increase the level of PA. However, this is contingent on the interest of potential users.
Objective: The aim of this study was the explorative, nuanced determination of the interest in mHealth apps with respect to PA among students and staff of a university.
Methods: We conducted a Web-based survey from June to July 2015 in which students and employees from the University of Potsdam were asked about their activity level, interest in mHealth fitness apps, chronic diseases, and sociodemographic parameters.
Results: A total of 1217 students (67.30%, 819/1217; female; 26.0 years [SD 4.9]) and 485 employees (67.5%, 327/485; female; 42.7 years [SD 11.7]) participated in the survey. The recommendation for PA (3 times per week) was not met by 70.1% (340/485) of employees and 52.67% (641/1217) of students. Within these groups, 53.2% (341/641 students) and 44.2% (150/340 employees)—independent of age, sex, body mass index (BMI), and level of education or professional qualification—indicated an interest in mHealth fitness apps.
Conclusions: Even in a younger, highly educated population, the majority of respondents reported an insufficient level of PA. About half of them indicated their interest in training support. This suggests that the use of personalized mobile fitness apps may become increasingly significant for a positive change of lifestyle.
Background: Although the benefits for health of physical activity (PA) are well documented, the majority of the population is unable to implement present recommendations into daily routine. Mobile health (mHealth) apps could help increase the level of PA. However, this is contingent on the interest of potential users.
Objective: The aim of this study was the explorative, nuanced determination of the interest in mHealth apps with respect to PA among students and staff of a university.
Methods: We conducted a Web-based survey from June to July 2015 in which students and employees from the University of Potsdam were asked about their activity level, interest in mHealth fitness apps, chronic diseases, and sociodemographic parameters.
Results: A total of 1217 students (67.30%, 819/1217; female; 26.0 years [SD 4.9]) and 485 employees (67.5%, 327/485; female; 42.7 years [SD 11.7]) participated in the survey. The recommendation for PA (3 times per week) was not met by 70.1% (340/485) of employees and 52.67% (641/1217) of students. Within these groups, 53.2% (341/641 students) and 44.2% (150/340 employees)—independent of age, sex, body mass index (BMI), and level of education or professional qualification—indicated an interest in mHealth fitness apps.
Conclusions: Even in a younger, highly educated population, the majority of respondents reported an insufficient level of PA. About half of them indicated their interest in training support. This suggests that the use of personalized mobile fitness apps may become increasingly significant for a positive change of lifestyle.
Background
Outcome quality management requires the consecutive registration of defined variables. The aim was to identify relevant parameters in order to objectively assess the in-patient rehabilitation outcome.
Methods
From February 2009 to June 2010 1253 patients (70.9 ± 7.0 years, 78.1% men) at 12 rehabilitation clinics were enrolled. Items concerning sociodemographic data, the impairment group (surgery, conservative/interventional treatment), cardiovascular risk factors, structural and functional parameters and subjective health were tested in respect of their measurability, sensitivity to change and their propensity to be influenced by rehabilitation.
Results
The majority of patients (61.1%) were referred for rehabilitation after cardiac surgery, 38.9% after conservative or interventional treatment for an acute coronary syndrome. Functionally relevant comorbidities were seen in 49.2% (diabetes mellitus, stroke, peripheral artery disease, chronic obstructive lung disease). In three key areas 13 parameters were identified as being sensitive to change and subject to modification by rehabilitation: cardiovascular risk factors (blood pressure, low-density lipoprotein cholesterol, triglycerides), exercise capacity (resting heart rate, maximal exercise capacity, maximal walking distance, heart failure, angina pectoris) and subjective health (IRES-24 (indicators of rehabilitation status): pain, somatic health, psychological well-being and depression as well as anxiety on the Hospital Anxiety and Depression Scale).
Conclusion
The outcome of in-patient rehabilitation in elderly patients can be comprehensively assessed by the identification of appropriate key areas, that is, cardiovascular risk factors, exercise capacity and subjective health. This may well serve as a benchmark for internal and external quality management.
Background: Outcome quality management requires the consecutive registration of defined variables. The aim was to identify relevant parameters in order to objectively assess the in-patient rehabilitation outcome.
Methods: From February 2009 to June 2010 1253 patients (70.9 +/- 7.0 years, 78.1% men) at 12 rehabilitation clinics were enrolled. Items concerning sociodemographic data, the impairment group (surgery, conservative/interventional treatment), cardiovascular risk factors, structural and functional parameters and subjective health were tested in respect of their measurability, sensitivity to change and their propensity to be influenced by rehabilitation.
Results: The majority of patients (61.1%) were referred for rehabilitation after cardiac surgery, 38.9% after conservative or interventional treatment for an acute coronary syndrome. Functionally relevant comorbidities were seen in 49.2% (diabetes mellitus, stroke, peripheral artery disease, chronic obstructive lung disease). In three key areas 13 parameters were identified as being sensitive to change and subject to modification by rehabilitation: cardiovascular risk factors (blood pressure, low-density lipoprotein cholesterol, triglycerides), exercise capacity (resting heart rate, maximal exercise capacity, maximal walking distance, heart failure, angina pectoris) and subjective health (IRES-24 (indicators of rehabilitation status): pain, somatic health, psychological well-being and depression as well as anxiety on the Hospital Anxiety and Depression Scale).
Conclusion: The outcome of in-patient rehabilitation in elderly patients can be comprehensively assessed by the identification of appropriate key areas, that is, cardiovascular risk factors, exercise capacity and subjective health. This may well serve as a benchmark for internal and external quality management.
Background
Multi-component cardiac rehabilitation (CR) is performed to achieve an improved prognosis, superior health-related quality of life (HRQL) and occupational resumption through the management of cardiovascular risk factors, as well as improvement of physical performance and patients’ subjective health. Out of a multitude of variables gathered at CR admission and discharge, we aimed to identify predictors of returning to work (RTW) and HRQL 6 months after CR.
Design
Prospective observational multi-centre study, enrolment in CR between 05/2017 and 05/2018.
Method
Besides general data (e.g. age, sex, diagnoses), parameters of risk factor management (e.g. smoking, hypertension), physical performance (e.g. maximum exercise capacity, endurance training load, 6-min walking distance) and patient-reported outcome measures (e.g. depression, anxiety, HRQL, subjective well-being, somatic and mental health, pain, lifestyle change motivation, general self-efficacy, pension desire and self-assessment of the occupational prognosis using several questionnaires) were documented at CR admission and discharge. These variables (at both measurement times and as changes during CR) were analysed using multiple linear regression models regarding their predictive value for RTW status and HRQL (SF-12) six months after CR.
Results
Out of 1262 patients (54±7 years, 77% men), 864 patients (69%) returned to work. Predictors of failed RTW were primarily the desire to receive pension (OR = 0.33, 95% CI: 0.22–0.50) and negative self-assessed occupational prognosis (OR = 0.34, 95% CI: 0.24–0.48) at CR discharge, acute coronary syndrome (OR = 0.64, 95% CI: 0.47–0.88) and comorbid heart failure (OR = 0.51, 95% CI: 0.30–0.87). High educational level, stress at work and physical and mental HRQL were associated with successful RTW. HRQL was determined predominantly by patient-reported outcome measures (e.g. pension desire, self-assessed health prognosis, anxiety, physical/mental HRQL/health, stress, well-being and self-efficacy) rather than by clinical parameters or physical performance.
Conclusion
Patient-reported outcome measures predominantly influenced return to work and HRQL in patients with heart disease. Therefore, the multi-component CR approach focussing on psychosocial support is crucial for subjective health prognosis and occupational resumption.
Background
Multi-component cardiac rehabilitation (CR) is performed to achieve an improved prognosis, superior health-related quality of life (HRQL) and occupational resumption through the management of cardiovascular risk factors, as well as improvement of physical performance and patients’ subjective health. Out of a multitude of variables gathered at CR admission and discharge, we aimed to identify predictors of returning to work (RTW) and HRQL 6 months after CR.
Design
Prospective observational multi-centre study, enrolment in CR between 05/2017 and 05/2018.
Method
Besides general data (e.g. age, sex, diagnoses), parameters of risk factor management (e.g. smoking, hypertension), physical performance (e.g. maximum exercise capacity, endurance training load, 6-min walking distance) and patient-reported outcome measures (e.g. depression, anxiety, HRQL, subjective well-being, somatic and mental health, pain, lifestyle change motivation, general self-efficacy, pension desire and self-assessment of the occupational prognosis using several questionnaires) were documented at CR admission and discharge. These variables (at both measurement times and as changes during CR) were analysed using multiple linear regression models regarding their predictive value for RTW status and HRQL (SF-12) six months after CR.
Results
Out of 1262 patients (54±7 years, 77% men), 864 patients (69%) returned to work. Predictors of failed RTW were primarily the desire to receive pension (OR = 0.33, 95% CI: 0.22–0.50) and negative self-assessed occupational prognosis (OR = 0.34, 95% CI: 0.24–0.48) at CR discharge, acute coronary syndrome (OR = 0.64, 95% CI: 0.47–0.88) and comorbid heart failure (OR = 0.51, 95% CI: 0.30–0.87). High educational level, stress at work and physical and mental HRQL were associated with successful RTW. HRQL was determined predominantly by patient-reported outcome measures (e.g. pension desire, self-assessed health prognosis, anxiety, physical/mental HRQL/health, stress, well-being and self-efficacy) rather than by clinical parameters or physical performance.
Conclusion
Patient-reported outcome measures predominantly influenced return to work and HRQL in patients with heart disease. Therefore, the multi-component CR approach focussing on psychosocial support is crucial for subjective health prognosis and occupational resumption.
Background
Despite numerous studies and meta-analyses the prognostic effect of cardiac rehabilitation is still under debate. This update of the Cardiac Rehabilitation Outcome Study (CROS II) provides a contemporary and practice focused approach including only cardiac rehabilitation interventions based on published standards and core components to evaluate cardiac rehabilitation delivery and effectiveness in improving patient prognosis.
Design
A systematic review and meta-analysis.
Methods
Randomised controlled trials and retrospective and prospective controlled cohort studies evaluating patients after acute coronary syndrome, coronary artery bypass grafting or mixed populations with coronary artery disease published until September 2018 were included.
Resulte
Based on CROS inclusion criteria out of 7096 abstracts six additional studies including 8671 patients were identified (two randomised controlled trials, two retrospective controlled cohort studies, two prospective controlled cohort studies). In total, 31 studies including 228,337 patients were available for this meta-analysis (three randomised controlled trials, nine prospective controlled cohort studies, 19 retrospective controlled cohort studies; 50,653 patients after acute coronary syndrome 14,583, after coronary artery bypass grafting 163,101, mixed coronary artery disease populations; follow-up periods ranging from 9 months to 14 years). Heterogeneity in design, cardiac rehabilitation delivery, biometrical assessment and potential confounders was considerable. Controlled cohort studies showed a significantly reduced total mortality (primary endpoint) after cardiac rehabilitation participation in patients after acute coronary syndrome (prospective controlled cohort studies: hazard ratio (HR) 0.37, 95% confidence interval (CI) 0.20-0.69; retrospective controlled cohort studies HR 0.64, 95% CI 0.53-0.76; prospective controlled cohort studies odds ratio 0.20, 95% CI 0.08-0.48), but the single randomised controlled trial fulfilling the CROS inclusion criteria showed neutral results. Cardiac rehabilitation participation was also associated with reduced total mortality in patients after coronary artery bypass grafting (retrospective controlled cohort studies HR 0.62, 95% CI 0.54-0.70, one single randomised controlled trial without fatal events), and in mixed coronary artery disease populations (retrospective controlled cohort studies HR 0.52, 95% CI 0.36-0.77; two out of 10 controlled cohort studies with neutral results).
Conclusion
CROS II confirms the effectiveness of cardiac rehabilitation participation after acute coronary syndrome and after coronary artery bypass grafting in actual clinical practice by reducing total mortality under the conditions of current evidence-based coronary artery disease treatment. The data of CROS II, however, underscore the urgent need to define internationally accepted minimal standards for cardiac rehabilitation delivery as well as for scientific evaluation.
Background
Although associations between cardiovascular diseases and cognitive impairment are well known, the impact of cognitive performance on the success of patient education as a core component of cardiac rehabilitation remains insufficiently investigated so far.
Design
Prospective observational study in two inpatient cardiac rehabilitation centres between September 2014 and August 2015 with a follow-up six months after cardiac rehabilitation.
Method
At admission to and discharge from cardiac rehabilitation, the cognitive performance of 401 patients (54.5 ± 6.3 years, 80% men) following an acute coronary syndrome and/or coronary artery bypass graft was tested using the Montreal Cognitive Assessment. Patients’ disease-related knowledge was determined using a quiz (22 items for medical knowledge and 12 items for healthy lifestyle and behaviour) at both times and at follow-up. The change in knowledge after cardiac rehabilitation was analysed in multivariable regression models. Potentially influencing parameters (e.g. level of education, medication, cardiovascular risk factors, coronary artery bypass graft, comorbidities, exercise capacity) were considered.
Results
During cardiac rehabilitation, disease-related knowledge was significantly enhanced in both scales. At follow-up, the average level of medical knowledge was significantly reduced, while lifestyle knowledge remained at a stable level. The maintenance of knowledge after cardiac rehabilitation was predominantly predicted by prior knowledge, cognitive performance at discharge from cardiac rehabilitation and, in the case of medical knowledge, by coronary artery bypass graft.
Conclusion
Patient education in cardiac rehabilitation led to enhanced disease-related knowledge, but the maintenance of this essentially depended on patients’ cognitive performance, especially after coronary artery bypass graft. Therefore, patient education concepts in cardiac rehabilitation should be reconsidered and adjusted as needed.
Introduction: Adequate cognitive function in patients is a prerequisite for successful implementation of patient education and lifestyle coping in comprehensive cardiac rehabilitation (CR) programs. Although the association between cardiovascular diseases and cognitive impairments (CIs) is well known, the prevalence particularly of mild CI in CR and the characteristics of affected patients have been insufficiently investigated so far.
Methods: In this prospective observational study, 496 patients (54.5 ± 6.2 years, 79.8% men) with coronary artery disease following an acute coronary event (ACE) were analyzed. Patients were enrolled within 14 days of discharge from the hospital in a 3-week inpatient CR program. Patients were tested for CI using the Montreal Cognitive Assessment (MoCA) upon admission to and discharge from CR. Additionally, sociodemographic, clinical, and physiological variables were documented. The data were analyzed descriptively and in a multivariate stepwise backward elimination regression model with respect to CI.
Results: At admission to CR, the CI (MoCA score < 26) was determined in 182 patients (36.7%). Significant differences between CI and no CI groups were identified, and CI group was associated with high prevalence of smoking (65.9 vs 56.7%, P = 0.046), heavy (physically demanding) workloads (26.4 vs 17.8%, P < 0.001), sick leave longer than 1 month prior to CR (28.6 vs 18.5%, P = 0.026), reduced exercise capacity (102.5 vs 118.8 W, P = 0.006), and a shorter 6-min walking distance (401.7 vs 421.3 m, P = 0.021) compared to no CI group. The age- and education-adjusted model showed positive associations with CI only for sick leave more than 1 month prior to ACE (odds ratio [OR] 1.673, 95% confidence interval 1.07–2.79; P = 0.03) and heavy workloads (OR 2.18, 95% confidence interval 1.42–3.36; P < 0.01).
Conclusion: The prevalence of CI in CR was considerably high, affecting more than one-third of cardiac patients. Besides age and education level, CI was associated with heavy workloads and a longer sick leave before ACE.
Introduction: Adequate cognitive function in patients is a prerequisite for successful implementation of patient education and lifestyle coping in comprehensive cardiac rehabilitation (CR) programs. Although the association between cardiovascular diseases and cognitive impairments (CIs) is well known, the prevalence particularly of mild CI in CR and the characteristics of affected patients have been insufficiently investigated so far.
Methods: In this prospective observational study, 496 patients (54.5 ± 6.2 years, 79.8% men) with coronary artery disease following an acute coronary event (ACE) were analyzed. Patients were enrolled within 14 days of discharge from the hospital in a 3-week inpatient CR program. Patients were tested for CI using the Montreal Cognitive Assessment (MoCA) upon admission to and discharge from CR. Additionally, sociodemographic, clinical, and physiological variables were documented. The data were analyzed descriptively and in a multivariate stepwise backward elimination regression model with respect to CI.
Results: At admission to CR, the CI (MoCA score < 26) was determined in 182 patients (36.7%). Significant differences between CI and no CI groups were identified, and CI group was associated with high prevalence of smoking (65.9 vs 56.7%, P = 0.046), heavy (physically demanding) workloads (26.4 vs 17.8%, P < 0.001), sick leave longer than 1 month prior to CR (28.6 vs 18.5%, P = 0.026), reduced exercise capacity (102.5 vs 118.8 W, P = 0.006), and a shorter 6-min walking distance (401.7 vs 421.3 m, P = 0.021) compared to no CI group. The age- and education-adjusted model showed positive associations with CI only for sick leave more than 1 month prior to ACE (odds ratio [OR] 1.673, 95% confidence interval 1.07–2.79; P = 0.03) and heavy workloads (OR 2.18, 95% confidence interval 1.42–3.36; P < 0.01).
Conclusion: The prevalence of CI in CR was considerably high, affecting more than one-third of cardiac patients. Besides age and education level, CI was associated with heavy workloads and a longer sick leave before ACE.
Ziel der Studie Die vorliegende Untersuchung beinhaltete die explorative Erfassung potenzieller Indikatoren der Ergebnisqualität der kardiologischen Rehabilitation (CR) für Patienten unter 65 Jahren.
Methoden In einer 4-stufigen webbasierten Delphi-Befragung (04-07/2016) von in der CR tätigen Ärzten[2] , Psychologen und Sport-/Physiotherapeuten wurden Parameter der körperlichen Leistungsfähigkeit, der Sozialmedizin, der subjektiven Gesundheit und kardiovaskuläre Risikofaktoren hinsichtlich ihrer Eignung als Qualitätsindikator bewertet.
Ergebnisse Von 44 vorgegebenen wie auch von den Teilnehmern vorgeschlagenen Parametern wurden 21 Parameter (48%), die Hälfte davon psychosoziale Faktoren, als potenzielle Qualitätsindikatoren ausgewählt, wobei lediglich für das Rauchverhalten, den Blutdruck, das LDL-Cholesterin und die max. Belastbarkeit im Belastungs-EKG ein Konsens (Zustimmung>75% der Befragten) erzielt wurde.
Schlussfolgerung Die Wahl der Qualitätsindikatoren durch die Experten erfolgte mehrheitlich mit nur geringer Einigkeit. Eine klinische und wissenschaftliche Evaluierung der gewählten Parameter ist daher zwingend erforderlich.
Impact of self-assessment of return to work on employable discharge from multi-component cardiac rehabilitation. Retrospective unicentric analysis of routine data from cardiac rehabilitation in patients below 65 years of age. Presentation in the "Cardiovascular rehabilitation revisited" high impact abstract session during ESC Congress 2018.
Biopsychosoziale Aspekte der beruflichen Wiedereingliederung nach kardiologischer Rehabilitation
(2020)
Background: So far, for center comparisons in inpatient cardiac rehabilitation (CR), the objective outcome quality was neglected because of challenges in quantifying the overall success of CR. In this article, a multifactorial benchmark model measuring the individual rehabilitation success is presented.
Methods: In 21 rehabilitation centers, 5 123 patients were consecutively enrolled between 01/2010 and 12/2012 in the prospective multicenter registry EVA-Reha (R) Cardiology. Changes in 13 indicators in the areas cardiovascular risk factors, physical performance and subjective health during rehabilitation were evaluated according to levels of severity. Changes were only rated for patients who needed a medical intervention. Additionally, the changes had to be clinically relevant. Therefore Minimal Important Differences (MID) were predefined. Ratings were combined to a single score, the multiple outcome criterion (MEK).
Results: The MEK was determined for all patients (71.7 +/- 7.4 years, 76.9 % men) and consisted of an average of 5.6 indicators. After risk adjustment for sociodemographic and clinical baseline parameters, MEK was used for center ranking. In addition, individual results of indicators were compared with means of all study sites.
Conclusion: With the method presented here, the outcome quality can be quantified and outcome-based comparisons of providers can be made.
Introduction: Cardiac rehabilitation is designed for patients suffering from cardiovascular diseases or functional disabilities. The aim of a cardiac rehabilitation is to improve overall physical health, psychological well-being, physical function, the ability to participate in social life and help patients to change their habits. Regarding the heterogeneity of these aims measuring of the effect of cardiac rehabilitation is still a challenge. This study recommends a concept to assess the effects of cardiac rehabilitation regarding the individual change of relevant quality indicators.
Methods: With EVA-Reha; cardiac rehabilitation the Medical Advisory Service of Statutory Health Insurance Funds in Rhineland-Palatinate, Alzey (MDK Rheinland-Pfalz) developed a software to collect data set including sociodemographic and diagnostic data and also the results of specific assessments. The project was funded by the Techniker Krankenkasse, Hamburg, and supported by participating rehabilitation centers. From 01. July 2010 to 30. June 2011 1309 patients (age 71.5 years, 76.1% men) from 13 rehabilitation centers were consecutively enrolled. 13 quality indicators in 3 scales were developed for evaluation of cardiac rehabilitation: 1) cardiovascular risk factors (blood pressure, LDL cholesterol, triglycerides), 2) exercise capacity (resting heart rate, maximal exercise capacity, maximal walking distance, heart failure [NYHA classification], and angina pectoris [CCS classification]) and 3) subjective health (IRES-24: pain, somatic health, psychological wellbeing and depression as well as anxiety on the HADS). The study was prospective; data of patients were assessed at entry and discharge of rehabilitation. To measure the success of rehabilitation each parameter was graded in severity classes at entry and discharge. For each of the 13 quality indicators changes of severity class were rated in a rating matrix. For indicators without a requirement for medical care neither at entry nor at discharge no rating was performed.
Results: The grading into severity classes as well as the minimal important differences were given for the 13 quality indicators. The result of rehabilitation can be demonstrated in suitable form by means of rating of the 13 quality indicators according to a clinical population. The rating model differs well between clinically changed and unchanged patients for the quality indicators.
Conclusion: The result of cardiac rehabilitation can be assessed with 13 quality indicators measured at entry and discharge of the rehabilitation program. If a change into a more favorable category at the end of rehabilitation could be achieved it was counted as a success. The 13 quality indicators can be used to assess the individual result as well as the result of a population - e.g. all patients of a clinic in a specific time period. In addition, the assessment and rating of relevant quality indicators can be used for comparisons of rehabilitation centers.
Background: Travel-related conditions have impact on the quality of oral anticoagulation therapy (OAT) with vitamin K-antagonists. No predictors for travel activity and for travel-associated haemorrhage or thromboembolic complications of patients on OAT are known.
Methods: A standardised questionnaire was sent to 2500 patients on long-term OAT in Austria, Switzerland and Germany. 997 questionnaires were received (responder rate 39.9%). Ordinal or logistic regression models with travel activity before and after onset of OAT or travel-associated haemorrhages and thromboembolic complications as outcome measures were applied.
Results: 43.4% changed travel habits since onset of OAT with 24.9% and 18.5% reporting decreased or increased travel activity, respectively. Long-distance worldwide before OAT or having suffered from thromboembolic complications was associated with reduced travel activity. Increased travel activity was associated with more intensive travel experience, increased duration of OAT, higher education, or performing patient self-management (PSM). Travel-associated haemorrhages or thromboennbolic complications were reported by 6.5% and 0.9% of the patients, respectively. Former thromboennbolic complications, former bleedings and PSM were significant predictors of travel-associated complications.
Conclusions: OAT also increases travel intensity. Specific medical advice prior travelling to prevent complications should be given especially to patients with former bleedings or thromboennbolic complications and to those performing PSM. (C) 2014 Elsevier Ltd. All rights reserved.
Die berufliche Wiedereingliederung von Patienten nach akutem Herzinfarkt stellt sowohl aus gesellschaftlicher wie auch aus individueller Sicht einen entscheidenden Schritt zur vollständigen Rekonvaleszenz dar. Lediglich 10% der Patienten werden durch kardiale Probleme an der Reintegration behindert. Neben medizinischen und berufsbezogenen Faktoren determinieren insbesondere psychosoziale Parameter eine erfolgreiche Wiederaufnahme der Tätigkeit. Verschiedene Programme der Rentenversicherungsträger werden dabei unterstützend angeboten.
Aim We aimed to identify patient characteristics and comorbidities that correlate with the initial exercise capacity of cardiac rehabilitation (CR) patients and to study the significance of patient characteristics, comorbidities and training methods for training achievements and final fitness of CR patients. Methods We studied 557 consecutive patients (51.76.9 years; 87.9% men) admitted to a three-week in-patient CR. Cardiopulmonary exercise testing (CPX) was performed at discharge. Exercise capacity (watts) at entry, gain in training volume and final physical fitness (assessed by peak O-2 utilization (VO2peak) were analysed using analysis of covariance (ANCOVA) models. Results Mean training intensity was 90.7 +/- 9.7% of maximum heart rate (81% continuous/19% interval training, 64% additional strength training). A total of 12.2 +/- 2.6 bicycle exercise training sessions were performed. Increase of training volume by an average of more than 100% was achieved (difference end/beginning of CR: 784 +/- 623 wattsxmin). In the multivariate model the gain in training volume was significantly associated with smoking, age and exercise capacity at entry of CR. The physical fitness level achieved at discharge from CR as assessed by VO2peak was mainly dependent on age, but also on various factors related to training, namely exercise capacity at entry, increase of training volume and training method. Conclusion CR patients were trained in line with current guidelines with moderate-to-high intensity and reached a considerable increase of their training volume. The physical fitness level achieved at discharge from CR depended on various factors associated with training, which supports the recommendation that CR should be offered to all cardiac patients.
Aim: We aimed to identify patient characteristics and comorbidities that correlate with the initial exercise capacity of
cardiac rehabilitation (CR) patients and to study the significance of patient characteristics, comorbidities and training
methods for training achievements and final fitness of CR patients.
Methods: We studied 557 consecutive patients (51.7 Æ 6.9 years; 87.9% men) admitted to a three-week in-patient CR.
Cardiopulmonary exercise testing (CPX) was performed at discharge. Exercise capacity (watts) at entry, gain in training
volume and final physical fitness (assessed by peak O 2 utilization (VO 2peak ) were analysed using analysis of covariance
(ANCOVA) models.
Results: Mean training intensity was 90.7 Æ 9.7% of maximum heart rate (81% continuous/19% interval training, 64%
additional strength training). A total of 12.2 Æ 2.6 bicycle exercise training sessions were performed. Increase of training
volume by an average of more than 100% was achieved (difference end/beginning of CR: 784 Æ 623 watts  min). In the
multivariate model the gain in training volume was significantly associated with smoking, age and exercise capacity at
entry of CR. The physical fitness level achieved at discharge from CR as assessed by VO 2peak was mainly dependent on
age, but also on various factors related to training, namely exercise capacity at entry, increase of training volume and
training method.
Conclusion: CR patients were trained in line with current guidelines with moderate-to-high intensity and reached a
considerable increase of their training volume. The physical fitness level achieved at discharge from CR depended on
various factors associated with training, which supports the recommendation that CR should be offered to all cardiac
patients.