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Keywords
- cardiac rehabilitation (3)
- physical activity (3)
- acute coronary event (2)
- cognitive impairment (2)
- healthy lifestyle (2)
- patient education (2)
- prevalence (2)
- primary prevention (2)
- telemedicine (2)
- Adipose tissue (1)
- Autotaxin (1)
- Ergebnisqualität (1)
- Expertenbefragung (1)
- Hepatic insulin resistance (1)
- Insulin signaling (1)
- LPA(3) receptor subtype (1)
- Lebensstil (1)
- Lysophosphatidic acid (1)
- Prävention (1)
- Qualitätsindikatoren (1)
- Rehabilitationserfolg (1)
- digital health (1)
- digitale Gesundheit (1)
- expert survey (1)
- kardiologische Rehabilitation (1)
- körperliche Aktivität (1)
- lifestyle (1)
- mHealth (1)
- mobile Assistenzsysteme (1)
- outcome (1)
- performance measures (1)
- prevention (1)
- quality assurance (1)
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.
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.
Background/Aims:
Obesity is a main risk factor for the development of hepatic insulin resistance and it is accompanied by adipocyte hypertrophy and an elevated expression of different adipokines such as autotaxin (ATX). ATX converts lysophosphatidylcholine to lysophosphatidic acid (LPA) and acts as the main producer of extracellular LPA. This bioactive lipid regulates a broad range of physiological and pathological responses by activation of LPA receptors (LPA1-6).
Methods:
The activation of phosphatidylinositide 3-kinases (PI3K) signaling (Akt and GSK-3ß) was analyzed via western blotting in primary rat hepatocytes. Incorporation of glucose into glycogen was measured by using radio labeled glucose. Real-time PCR analysis and pharmacological modulation of LPA receptors were performed. Human plasma LPA levels of obese (BMI > 30, n = 18) and normal weight individuals (BMI 18.5-25, n = 14) were analyzed by liquid chromatography tandem-mass spectrometry (LC-MS/MS).
Results:
Pretreatment of primary hepatocytes with LPA resulted in an inhibition of insulin-mediated Gck expression, PI3K activation and glycogen synthesis. Pharmacological approaches revealed that the LPA3-receptor subtype is responsible for the inhibitory effect of LPA on insulin signaling. Moreover, human plasma LPA concentrations (16: 0 LPA) of obese participants (BMI > 30) are significantly elevated in comparison to normal weight individuals (BMI 18.5-25).
Conclusion:
LPA is able to interrupt insulin signaling in primary rat hepatocytes via the LPA3 receptor subtype. Moreover, the bioactive lipid LPA (16: 0) is increased in obesity.