| Title |
Prevalence of mild cognitive impairment in employable patients after acute coronary event in cardiac rehabilitation
|
|---|---|
| Published in |
Vascular Health and Risk Management, February 2017
|
| DOI | 10.2147/vhrm.s121086 |
| Pubmed ID | |
| Authors |
Annett Salzwedel, Maria-Dorothea Heidler, Kathrin Haubold, Martin Schikora, Rona Reibis, Karl Wegscheider, Michael Jöbges, Heinz Völler |
| Abstract |
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. 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. 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). 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. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 124 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 124 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 13% |
| Student > Master | 15 | 12% |
| Student > Bachelor | 13 | 10% |
| Researcher | 13 | 10% |
| Student > Doctoral Student | 9 | 7% |
| Other | 20 | 16% |
| Unknown | 38 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 25 | 20% |
| Medicine and Dentistry | 25 | 20% |
| Psychology | 13 | 10% |
| Unspecified | 5 | 4% |
| Sports and Recreations | 3 | 2% |
| Other | 11 | 9% |
| Unknown | 42 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 March 2017.
All research outputs
#16,868,837
of 25,584,565 outputs
Outputs from Vascular Health and Risk Management
#499
of 785 outputs
Outputs of similar age
#258,119
of 426,137 outputs
Outputs of similar age from Vascular Health and Risk Management
#4
of 8 outputs
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