Options
Gollner, Erwin
Loading...
Official Name
Gollner, Erwin
Main Affiliation
Akademische Titel
Prof. (FH) Mag. Dr., MPH MBA
Email
erwin.gollner@fh-burgenland.at
Scopus Author ID
55959273900
Status
staff
Research Outputs
Now showing 1 - 10 of 70
- Publication
232 485 - Publication
225 1341 - PublicationThe burden of disease attributable to physical inactivity in the Austrian region of Burgenland(2013-11-02)
; ; ; ; Objectives Physical inactivity is a significant public health problem, which is unlikely to be solved through classical health promotion approaches alone. Physical inactivity leads to a host of chronic degenerative conditions and premature death. In Europe, more than half of the population is not sufficiently active. The WHO estimates that in Europe, 10% or nearly a million of deaths are associated with inactivity. This represents a loss of 8.3 million disability adjusted life years (DALYs). In the Austrian region of Burgenland about 52.6% or 125,434 people of the population are physical inactive. As a risk factor for several chronic diseases like cardiovascular diseases, type 2 diabetes, osteoporosis, depression, back-pain, hypertension, breast cancer and colorectal carcinoma physical inactivity can potentially be a substantial public health burden. Furthermore, it is one of the greatest risk factors for mortality. Hence, the aim of the analysis was to estimate the direct health-care costs saved, the number of diseases and premature death saved each year attributable to a health promotion program focusing on walking (“3,000 steps” and more).Methods The evaluation of the health-economic impact was performed using a cost-of-illness analysis. We have used relative risk (RR) estimates from the literature to evaluate the effects of physical inactivity on the above mentioned diseases, which are known to be significantly related to physical inactivity. Mortality rates for each condition were derived from local data of Burgenland. Afterwards, the population-attributable fraction (PAF) for each illness to estimate the risk factor on the given disease was computed. The PAF for each disease was calculated as: [P(RR – 1)] / [1 + P(RR – 1)] P = prevalence of physical inactivity in the population RR = relative risk for the disease in an inactive person We have calculated effects of a reduction in inactivity level by 10,000 physical inactive people in Burgenland. Cost calculation Direct medical costs were considered from the health care system perspective. The costs of each disease related to physical inactivity are determined by the yearly resource utilisation associated with each disease. Resource use (e.g. the type and frequency of medical goods and services rendered to the patient) and monetary value (prices, tariffs and/or opportunity costs) for each unit of medical goods and services were used to calculate the total direct costs. Costs were calculated bottom-up for the year 2012. We have calculated effects of a reduction in inactivity level by 10,000 physical inactive people in Burgenland. Results Results show that physical inactivity causes 27,542 cases of illness (15.6%) as well as 50 (10.6%) premature deaths in the population of Burgenland. Reducing the inactive group by 10,000 people, 2,221 cases of illness and cases of death would be reduced by four. Physical inactivity is leading to a total cost of illness of 58.9 million Euro, which represents 6.3% of total health expenditure. If the health promotion program is suitable to change the lifestyle of 10,000 people, cost of illness attributable to physical inactivity could be reduced by 6.40 million Euro each year of which 5.03 million Euro are directly related to diminish physical inactivity. Conclusion Physical inactivity represents an important public health burden in Austria. Even modest reductions in inactivity levels could result in substantial cost savings.154 1 - Publication
132 1 - PublicationInterprofessionelle Gesundheitsforschung im Hochschulstudium - Personalisiertes und forschungsgeleitetes Lehren und Lernen als Basis für interdisziplinäre Zusammenarbeit im Gesundheitswesen(2018-04)
; ; Damit interprofessionelle Gesundheitsforschung zu Innovation und Vorsprung führen kann, ist es notwendig, bereits in der Ausbildung interdisziplinäre Zusammenarbeit von Studierenden zu fördern. Im vorliegenden Beitrag wird am Beispiel eines berufsbegleitenden Masterstudienganges mit den Schwerpunkten Gesundheitsförderung und Gesundheitsforschung aufgezeigt, in welcher Form bereits im Studium ein Grundstein für ein disziplinübergreifendes Miteinander im Gesundheitswesen gelegt werden kann. Dabei kommt zwei Eckpfeilern moderner Hochschullehre besondere Bedeutung zu. Zum einen handelt es sich um die Berücksichtigung des individuellen und beruflichen Kontextes von Studierenden, welcher von Lernendem zu Lernendem sehr unterschiedlich sein kann. Zum anderen gilt es im Sinne des Transfers von Forschungsergebnissen in die Lehre, die in interdisziplinären Projektteams generiert werden, Methoden der forschungsgeleiteten Lehre anzuwenden.458 682 - Publication"3.000 stepts more": A project to sustainably improve physical activity behaviour of people(2013-08)
; ; Background: The WHO has identified physical inactivity as the fourth largest risk factor for global mortality. Studies show that lack of time is the main reason for inactive people to avoid any physical activity. Because of that interventions that integrate physical activity into daily life seem to be successful to sustainably improve physical activity behaviour of those people, who are hardly physically active. Methods: Within the model project “Gemeinsam gesund im Bezirk Oberwart” a setting-oriented programme called „3.000 steps more“ was carried out. Target groups were pupils at five secondary schools, citizens of nine municipalities and employees of six companies. The aim was to improve leisure time physical activity level. During the first stage of the project participants were required to count their steps with a pedometer. During the second stage people were encouraged to increase their daily number of steps by 3.000. The participants (n=1.023) documented the number of steps in a diary and completed a questionnaire. Results: The analyses show that 89% of participants increased their number of steps during the programme. 37% say that they have improved their physical activity behaviour, although nearly half of the participants met barriers during their way to an active lifestyle. Conclusions: The intervention confirms results of other studies (e.g. Bravata, Smith-Spangler, Sundaram et al., 2007) which indicate that using a pedometer motivates inactive people to move. Also the WHO (2011) refers to the importance of everyday walking and has therefore recently developed a Health economic assessment tool (HEAT) for walking. In conclusion low-threshold projects that target integrating physical activity into everyday life make it possible to sustainably improve physical activity behaviour of people, who are generally difficult to achieve. Therefore intersectoral cooperation between health care, transport and urban planning is necessary.8 2 - PublicationGesundheitskompetenz von Führungskräften und MitarbeiterInnen - Ansätze für das Betriebliche Gesundheitsmanagment(Österreichische Gesellschaft für Public Health (ÖGPH), 2017-05-11)
; ; 122 1