Szabo, Barbara

2015-09-25, Gollner, Erwin, Szabo, Barbara

2016, Gollner, Erwin, Schnabel, Florian, Trolp, Marlene, Szabo, Barbara

Krankenhäuser stehen strukturell bedingt vor besonderen Herausforderungen hinsichtlich der psychischen Belastungen ihrer Mitarbeiterinnen und Mitarbeiter. Das ist zugleich aber auch eine Chance für Veränderungen.

2018, Gollner, Erwin, Szabo, Barbara

2013-08, Gollner, Erwin, Schnabel, Florian, Szabo, Barbara

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.

2016, Gollner, Erwin, Schnabel, Florian, Szabo, Barbara

Forschungsergebnisse zeigen, dass das Führungsverständnis in einer Organisation einen wesentlichen Einfluss auf psychische Belastungen von Mitarbeiterinnen und Mitarbeiterin hat. Dieser Erkenntnis wird, vor dem Hintergrund der gesetzlich geforderten Evaluierung psychischer Belastungen am Arbeitsplatz, auch im Gesundheits- und Sozialbereich in Zukunft eine erhöhte Bedeutung zukommen.

2022, Gollner, Erwin, Szabo, Barbara

2022, Gollner, Erwin, Schnabel, Florian, Szabo, Barbara, Koch, Katharina, Braun, Carmen

2018-06, Szabo, Barbara, Stöller, Julia, Hauer, Katharina, Csar, Barbara, Gollner, Erwin, Schnabel, Florian

2013-11-02, Walter, Evelyn, Dragosits, Aline, Gollner, Erwin, Szabo, Barbara, Schnabel, Florian

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.

2018, Gollner, Erwin, Szabo, Barbara, Schnabel, Florian, Thaller-Schneider, Magdalena