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Biomedical subjects

W J Stronegger

Publications and source records attributed to W J Stronegger.

At least 19 recordsLinked to original sources

Associations of income with self-reported ill-health and health resources in a rural community sample of Austria.

OBJECTIVES: Three levels of health indicators (1) self-reported ill-health, (2) internal health resources, and (3) external health resources were analysed in relation to a four-category house-hold income distribution in order to describe possible social gradients. The particular aim of this study was to obtain information on the association of income data with self-reported ill-health. METHODS: This cross-sectional study was based on a health survey. The sample represents around 10% of the rural population of some communities in Styria, randomly selected from the population registry. Interview data was collected from 3781 participants aged 15 years and older, 1559 males and 2222 females. RESULTS: The results show that individuals from lower house-hold income classes are disadvantaged with regard to indicators of ill-health, internal and external health resources. Overall, the link between low income and poor health is highly consistent within our data. CONCLUSIONS: Considering our results we conclude that internal and external health resources are as unequally distributed over income levels as health outcome indicators.

Adolescent↗

A model and application for estimating completeness of registration.

Completeness of population-based registration systems is recognized to be an important aspect of the quality of information in registries which has to be examined. In this paper a model is presented which was used to estimate completeness of reporting of Down syndrome data notified to the Styrian Malformation registry between 1985-92. The model introduced is based on the two-source capture-recapture method allowing for time-varying parameters. For estimation of the parameters a discrete-time filtering algorithm was developed. For the used data set, an estimate of completeness derived from this model was in good agreement with an independent estimator based on demographic data and maternal age-specific Down syndrome risks whereas the usual two-source capture-recapture method gave a higher estimate.

Algorithms↗

[Use of unconventional therapies by cancer patients].

Unconventional therapies are increasingly accepted and used by professionals and lay persons. In this study, we analyzed correlations between sociodemographic variables of cancer patients, their disease and use of unconventional therapies. In an oncological out-patient department we collected the data relevant for the study objectives by means of a questionnaire. The sample comprised of 154 persons. The younger age group, married individuals and those in mid level occupational positions had more experience with unconventional therapies. The strongest predictors for usage were "age", length of illness" and "being able to go to work or to do house work". Doctors should be familiar with these methods in order to support their oncologic patients. As unconventional therapies will be used more often research should be intensified.

Aged↗

[Problem orientation in social medicine--participation in social medicine].

Problem-oriented learning is gaining increasing importance in medical education. The current discussion on reforming medical education in the medical schools in Austria reflects this importance. At the medical school in Graz for many years teaching the core module "social medicine" has been problem-oriented. Small groups of students work on selected topics of public health. The topics are related to every day practice and their particular psychosocial ramifications and consequences are illucidated. This subject is required in the last year of medical school. The students are not familiar with problem-based learning and have difficulties in adapting. To be better prepared for the coming changes in the discipline of medicine, the social dimension should be integrated earlier into medical education. The most efficient way of doing so should be clarified in the discussion of the reform in medical education.

Austria↗

[Representative early summer meningoencephalitis vaccination rates of school children in Styria].

Since the introduction of the Austrian TBE (tick-borne encephalitis) vaccination program in 1981 immunization coverage of children has not been investigated sufficiently. We investigated the influence of geographic and sociodemographic factors on the immunization coverage of school children in order to identify subpopulations with low immunization coverage. To this end a representative cross-sectional study was carried out in the county of Styria, Austria. The target population were children in the first, fourth and seventh year of school education. Therefore, the sample consisting of 3,196 children was divided into three age groups. children aged around 7, 10 and 13 years. The information concerning the immunization status of each child was recorded by means of an anonymous questionnaire given to parents by the classroom teachers on advice of the supervisory school authority. This procedure ensured the high overall response rate of 85.0%. The prevalence of at least one TBE vaccination was 91.4% for the 7 year old, 97.3% for the 10 and 97.1% for the 13 year old. The prevalence of basic TBE immunization was 84.0%, 91.7% and 92.3% resp. The lowest vaccination rates were found in families with four or more children and for those children who had mothers of the lowest educational level. Thus, for the future management of immunization programs it is crucial to put special emphasis on the identified population groups with deficient immunization coverage. The overall vaccination rates can be judged as satisfactory in the 13 year old children.

Adolescent↗

[Epidemiologic and statistical interaction models and consequences for regression analysis].

Different ways to define interaction between exposition factors in epidemiological studies as well as the choice between additive and multiplicative no interaction leads frequently to confusion during data analysis. In their standard form methods of event data analysis such as Poisson or logistic regression assume a multiplicative parameterization of no interaction. However, evidence from empirical investigations as well as causal models of disease etiology, e.g. the simple independent action model of Finney or the sufficient-component-causes model of Rothman, suggest additive or other kinds of non-multiplicative concepts of no interaction. For additive structured data we illustrate the asymptotic bias ("interaction-bias") of main effect estimates which are based on inappropriate data analysis using multiplicative models and omitting significant or non-significant interaction terms. We show that both the epidemiological study design as well as the underlying causal model are determinants of the interaction structure of the data and should be considered in the model selection process. The definition of interaction should distinguish between risk, rate and odds if risks are not very small. Using generalized linear models with parametrical link functions we are able to analyze non-multiplicative interaction structures.

Adult↗

[Different occupational groups of women and selected nutrition-related risk factors for osteoporosis].

This paper studies the prevalence of risk factors considered responsible for osteoporosis in women of 4 occupational groups: farmers, blue collar workers, white collar workers/civil servants and housewives. We analyzed nutritional factors associated with osteoporosis in the scientific literature. The total sample comprises of 2185 individuals of which 658 women were taken into the analyses. The data set was based on a health survey conducted in 10 selected rural communities of Styria in Austria between 1995 and 1996. Sociodemographic data, lifestyles, internal and external resources as well as indicators off ill-health were surveyed through standardized personal interviews. The results show that the women of the 4 occupational groups were differently strained regarding nutritional risk factors. Our results suggest that efficient intervention programs to prevent osteoporosis need to specifically focus on the various life contexts of women.

Adult↗

Educational status and resources for child care as predictors of TBE vaccination coverage in schoolchildren of an endemic area in Austria.

Since the introduction of the Austrian tick-borne encephalitis (TBE) vaccination program in 1981 vaccination coverage of children has not been investigated sufficiently. Numerous socioeconomic and demographic factors have been identified as being associated with low vaccination coverage in childhood for most vaccinations. This study focuses on parental educational status and on resources for child care as determinants of tick-borne encephalitis (TBE) vaccination coverage of schoolchildren in an endemic TBE area of Austria. The target population were children in the first, fourth and seventh year of school education in Styria, Austria. Therefore, the sample consisting of 2470 children was divided into three age groups, children aged 7, 10 and 13 years. We performed a representative cross-sectional study. The information concerning the vaccination status of each child was recorded by means of an anonymous questionnaire given to the parents by the classroom teachers. This procedure ensured a high overall response rate of 79.8%. The prevalence of at least one TBE vaccination was 93.9% for the 7 year old, 97.8% for the 10 and 97.9% for the 13 year old. The lowest vaccination rates were found in families with four or more children (94.0%) and for those children who had unemployed parents (92.9%). The multivariate analysis indicates that TBE vaccination coverage is affected by a large number of children in the family (p = 0.0003), an urban place of residence (p = 0.0001) and by a low level of education of the mother (p = 0.013). The results suggest that, though overall high coverage in schoolchildren, vaccination programmes should be focused on large and socially deprived families.

Adolescent↗

Characteristics of women currently using hormone replacement therapy in rural areas of Styria, Austria.

There are no clear-cut guidelines on "hormone replacement therapy". Each women should be individually counselled regarding her risks and then given "therapy". We studied a rural population in Styria that uses non-contraceptive hormones. Our analyses were based on data drawn from a cross-sectional health survey between 1995 and 1996. Our study sample comprised 499 women 40 to 65 years old; 97 of the women were using hormones (19.4%). According to the univariate analysis, women currently using hormones had a higher level of psychosomatic complaints, a higher frequency of health check-ups and visits to physicians, and reported a higher use of vitamin supplements than the non-users. The results are significant. Compared with other studies, the direction of the selection effect is inverse. Doctors attribute complaints to the perimenopausal status of the women and prescribe hormones in the hope of alleviating the problems. Medical interventions may interfere with possible alternative ways of coping with the menopause allowing for change in different aspects of a woman's life.

Adult↗

Health behaviour and risk behaviour: socioeconomic differences in an Austrian rural county.

The aim of this study is to illustrate the impact of socioeconomic differences on two basic kinds of health-related behaviour defined as health behaviour (HB) and risk behaviour (RB). We analysed data derived from a health survey on health-related behaviour and self-reported morbidity in relation to demographic and socioeconomic factors. The survey consists of a random sample of 27,344 individuals taken from 79 communities from the rural population of Styria (Austria). Using directly standardised indicators both HB and RB revealed clear but inverse associations with education, SES and gender. HB rises and RB falls with years of schooling completed. HB is higher in women (103.5 versus 95.0, p < 0.01) whereas RB is higher in men (128.9 versus 80.1, p < 0.01). Different patterns of association with age were found. We conclude that both HB and RB should be considered as mediating factors between SES and health status.

Adolescent↗

The impact of sociodemographic, environmental, and behavioral factors, and cerebrovascular risk factors as potential predictors of the mattis dementia rating scale.

BACKGROUND: Age and education have been found to affect the Mattis Dementia Rating Scale (MDRS) score of elderly normals, but there have been no studies assessing the influence of environmental and behavioral factors on this scale. Their role as potential predictors of the MDRS total score was investigated. METHODS: The MDRS was administered to 1,927 normal elderly subjects in the setting of a stroke prevention study. Results were correlated with 16 sociodemographic, environmental, and behavioral factors, and cerebrovascular risk factors. Study statistics resulted from multiple logistic regression analysis. RESULTS: Results indicated that higher age and arterial hypertension were associated with poorer cognitive performance, while better education and moderate general life stress exerted a positive effect on the participants' test results. CONCLUSIONS: Thus, besides the well-established factors of age and educational level, moderate general life stress and hypertension were identified as relevant predictors in determining the MDRS test performance of elderly normals.

Aged↗

[The distribution of selected cardiac risk factors in employed and studying youths in the rural region of Steiermark (Austria)].

Demographic data, components of lifestyles such as risk behavior, health complaints, illnesses and utilization of preventive and curative services were surveyed through a health survey conducted in 79 selected rural communities of Styria between 1989 and 1933. Our research focussed on the stratification of cardiovascular risk factors such as smoking, high blood pressure, unhealthy nutrition, low physical activity and obesity in adolescents employed or attending school. The sample comprises 1239 adolescents divided into two groups: 651 were employed and 588 were in school. We could show that even at such a young age significant differences occur in the distribution of cardiovascular risk factors between these two groups. The employed adolescents were far more stressed than those of their age group attending school. Generally, the females are less strained than the males. Our results suggest that efficient programs to prevent cardiovascular disease need to specifically focus on the various life contexts of young people. Such programs should start at an early date.

Adolescent↗

Sociodemographic predictors and concurrent validity of the Mini Mental State Examination and the Mattis Dementia Rating Scale.

The Mini Mental State Examination (MMSE) and the Mattis Dementia Rating Scale (MDRS) are among the most commonly used screening tests for dementia. The goals of our study were, firstly, to identify sociodemographic factors which may explain the variance of test results in a community sample and, secondly, to investigate the interrelationship of these two dementia screening tests in order to evaluate the concurrent validity. A total of 1947 subjects were investigated in the setting of the Austrian Stroke Prevention Study (ASPS). Our study confirms most previous results demonstrating a relationship of higher dementia test scores with both younger age and higher educational level. Interestingly, the results we obtained suggest only a weak relationship and poor concurrent validity of the two tests. The total scores of the two tests show poor joint variance. This could lead to the conclusion that these tests evaluate different cognitive domains.

Age Factors↗

Mini mental state examination: influence of sociodemographic, environmental and behavioral factors and vascular risk factors.

Age and education have been found to affect the Mini Mental State Examination (MMSE) score of elderly normals, but there have been no studies assessing the influence of environmental and behavioral factors on this test. We therefore administered the MMSE to 1437 normal elderly subjects in the setting of a stroke prevention study and correlated their results to 16 sociodemographic, environmental, and behavioral factors, and vascular risk factors. Study statistics composed of a multiple logistic regression analysis and graphical models revealed the relations between variables in greater detail. Logistic regression yielded education level, occupational status, living as a single, general life stress, physical strain, and physical inactivity to be independent predictors of the MMSE score. Age was not included in this model. Graphical models demonstrated similar results, but did not include living as a single and physical inactivity. As shown in our independence graph, general life stress is the crucial predictor and links other environmental and sociodemographic variables with the test performance of elderly normals.

Aged↗

The relationship between body weight and patterns of smoking in women and men.

BACKGROUND: In the scientific literature, studies of the relationship between cigarette smoking and body weight yield conflicting results. Weight-lowering effects in women and men have been associated with smoking, however, no effects on weight have been proven. The purpose of this study was to examine the gender-related association between cigarette smoking and relative weight in a rural population in Styria, Austria. METHODS: A database from a health survey conducted between 1989 and 1993 in 79 selected rural communities of Styria was used for these analyses. The sample consisted of 27,344 participants, 16,185 women and 11,159 men, aged > or = 15 years. We controlled for possible confounding factors such as age, years of education, alcohol consumption, regular physical activity, and chronic diseases. RESULTS: For women and men, in comparison to non- and ex-smokers, smoking is significantly correlated with lower body mass index (BMI). In contrast, heavy smoking and smoking cessation are significantly associated with higher relative weight. CONCLUSIONS: We found significant results confirming an association between cigarette smoking and lower BMI in women and men, whereas heavy smoking as well as smoking cessation were significantly correlated with higher relative weight. Health intervention programmes to quit smoking should take into account the underlying perceived benefits of smoking with regard to weight, especially its gender specificity.

Adult↗