smokeSALUD: exploring the effect of demographic change on the smoking prevalence at municipality level in Austria

Background: Reducing the smoking population is still high on the policy agenda, as smoking leads to many preventable diseases, such as lung cancer, heart disease, diabetes, and more. In Austria, data on smoking prevalence only exists at the federal state level. This provides an interesting overview about the current health situation, but for regional planning authorities these data are often insufficient as they can hide pockets of high and low smoking prevalence in certain municipalities. Methods: This paper presents a spatial-temporal change of estimated smokers for municipalities from 2001 and 2011. A synthetic dataset of smokers is built by combining individual large-scale survey data and small area census data using a deterministic spatial microsimulation approach. Statistical analysis, including chi-square test and binary logistic regression, are applied to find the best variables 24 for the simulation model and to validate its results. Results: As no easy-to-use spatial microsimulation software for non-programmers is available yet, a flexible web-based spatial microsimulation application for health decision support (called simSALUD) has been developed and used for these analyses. The results of the simulation show in general a decrease of smoking prevalence within municipalities between 2001 and 2011 and 29 differences within areas are identified. These results are especially valuable to policy decision makers for future planning strategies. Conclusions: This case study shows the application of smokeSALUD to model the spatial-temporal changes in the smoking population in Austria between 2001 and 2011. This is important as no data on smoking exists at this geographical scale (municipality). However, spatial microsimulation models are useful tools to estimate small area health data and to overcome these problems. The simulations and analysis should support health decision makers to identify hot spots of smokers and this should 36 help to show where to spend health resources best in order to reduce health inequalities

Adult Cognitive and Non-cognitive Skills: An Overview of Existing PIAAC Data

As of summer 2019, more than 60 PIAAC datasets from participating countries worldwide were available for research purposes. These datasets can be differentiated, for example, in terms of their accessibility, the extent of the information provided, the population group in focus, and the design of the underlying study. PIAAC Public Use Files, for instance, are freely available and are therefore highly anonymised, whereas PIAAC Scientific Use Files are available only for scientific research purposes and provide access to more detailed variables. The majority of the PIAAC data are available as public use files, but some participating countries (e.g. Germany and the United States) have also made several scientific use files or other extended file versions available to the research community. Some of the available PIAAC datasets focus on specific population groups - for example, the incarcerated adult population in the United States. Regarding the design of the underlying studies, most available datasets are cross-sectional, but some longitudinal data already exist (e.g. PIAAC-L in Germany). The present chapter provides an overview of the structure, accessibility, and use of the PIAAC datasets available worldwide

Comparison of hip fracture incidence and trends between Germany and Austria 1995-2004: An epidemiological study

Mann E, Meyer G, Haastert B, Icks A. Comparison of hip fracture incidence and trends between Germany and Austria 1995-2004: an epidemiological study. BMC Public Health. 2010;10(1): 46.Background Several studies evaluated variations in hip fracture incidences, as well as trends of the hip fracture incidences. Comparisons of trends are lacking so far. We compared the incidence rates and, in particular, its trends between Austria and Germany 1995 to 2004 analysing national hospital discharge diagnosis register data. Methods Annual frequencies of hip fractures and corresponding incidences per 100,000 person years were estimated, overall and stratified for sex and age, assuming Poisson distribution. Multiple Poisson regression models including country and calendar year, age and sex were used to analyse differences in incidence and trend. The difference of annual changes between the two countries was explored using an interaction term (calender year * country). Results Overall, the increase of hip fracture risk was 1.31 fold higher (95% CI 1.29-1.34) in Austria compared to Germany, adjusted for age, sex, and calendar year. The risk increase was comparable for both sexes (males: RR 1.35 (1.32-1.37), females: RR 1.31 (1.29-1.33)). Hip fracture trend from 1995 to 2004 indicates an increase in both countries without a statistically significant difference between Austria and Germany (interaction term: p = 0.67). Conclusion In this study comparing hip fracture incidences and its trend using pooled data, the incidence in Austria was 30% higher compared to its neighbouring country Germany. For both countries a similar increasing trend of hip fracture incidence over the 10-year study period was calculated. The results need confirmation by other studies

Microcensus Labour Force Survey / Housing Survey 2016 (SUF edition)

Full edition for scientific use. With about 20,000 households surveyed per quarter, the Microcensus is the largest regularly conducted sample survey in Austria. It is an important data source for central national and international labour market indicators and regularly provides information on housing and families. The survey is also known as the Microcensus Labour Force Survey (MZ-AKE), as the labour market-related questions are surveyed according to international guidelines (according to the ILO - International Labour Organisation) and the Austrian part is the so-called European Labour Force Survey (LFS)

Microcensus Labour Force Survey / Housing Survey 2004 (SUF edition)

Full edition for scientific use. With about 20,000 households surveyed per quarter, the Microcensus is the largest regularly conducted sample survey in Austria. It is an important data source for national and international labour market indicators and regularly provides information on housing and families. The survey is also known as the EU Labour Force Survey (EU-LFS)

Mikrocensus 1980, 1. quarter: Extended Housing Survey

The special survey in March is on the topic of extended housing survey ("Erweiterte Wohnungserhebung"), just as in the previous years (Mikrozensus MZMZ7901, Mikrozensus MZ7801, ). In addition, there are questions on additional afterward-installations of the households

Mikrocensus 1972, 2. quarter: Cultural Behavior

For decades Austria has had statistical data on cultural institutions and their offers but there has not been enough information on different social groups manner of consumption of these cultural offers. This missing information on cultural consumption and the cultural activity of the population is gathered with the help of the Mikrozensus. The acquisition of cultural behaviour is not only of great interest for cultural policies but it also allows international comparison encouraged by the UNESCO

Mikrocensus 1977, 4. quarter: Motor Vehicles, Driving Licenses

This Mikrozensus special survey consists of two parts of the traffic statistics: motor vehicles and driving licenses The first part is a repetition of the Mikrozensus special survey from September 1971 (Mikrozensus MZ7103) on motor vehicles and their road performance. The results of this survey were the basis for studies and measure in the fields of traffic policy, road safety and the general transport. By repeating this special survey, new data for these fields is collected. Moreover, changes due to the strong increase in the number of vehicles are are evaluated. More attention, than in the study from 1971, is also given to the energy consumption resulting from the performance of the vehicle. The questions are only on certain types of vehicles which are of special interest due to their road performance (passenger cars, estate cars, motorcycles, mopeds). Preliminary, important vehicle data and personal data of its owner are are collected. Then the questions are on the mileage at the time the vehicle was bought and at the time of the survey, as well as on the last working days and last weekends mileage. Owners of passenger- or estate cars are also asked how many people usually drive the car (as driver or passenger) from Monday to Friday as well as on the weekends and for what what purpose the car is mainly used. Up until now, statistics on driving licenses have only been conducted in some states on varying form (and therefore not really comparable). The results of this survey should provide information for the whole federal territory on the number of people with driving licenses, the data of the acquiring of the licence and the groups these licenses refer to