Inaccurate tests carried out on tuberculosis patients in developing countries often fail to reliablydetect resistance to drugs, leading to incorrect treatment and a higher mortality rate. These are the results of study by an international group of researchers led by a team at the University of Bern published today. Flu takes more lives than any other infectious disease in Europe, but a simple and effective yearly vaccine can reduce the chance you will catch it.
Opportunistic testing for the sexually transmitted infection, chlamydia, amongst young adults attending general practices, did not reduce prevalence after three years. The Uni Mittelstrasse will open its doors on Saturday, 27 October , pm. The digital transformation is fundamentally changing the professional world of health workers.
David Schwappach explains the risks and opportunities of technological trends in the healthcare sector and explains the advantages and disadvantages of electronic patient records. Now, on behalf of the Confederation, the registry will be converted into a Federal Childhood Cancer Registry, which will further improve the documentation, diagnosis and treatment of cancer in children and adolescents. Open Access aims to make scientific research freely accessible to all and thus to counteract the major publishers and their business model. The Biomedical section of Bern university library, on behalf of the Swiss biomedical libraries commission, would like to invite you to a workshop on Open Science and biomedical research on Friday, Sep 28th, Orestis Efthimiou has been awarded an Ambizione grant to develop methods for personalizing treatment choices.
The Federal Council submitted a draft legislation article for cannabis pilot trials for consultation. The next Winter School will take place from January 21st to 26th , during the week following the International Lauberhorn ski race, when Wengen is calm, with few people on the slopes. Continue reading. Doctoral fellowships in public health sciences available for talented students from all over the world: first call will be launched on July 2, Ebola vaccination was begun last month as part of the swift international response to the Ebola outbreak in the Democratic Republic of Congo.
After elaborate preparations the ISPM is finally moving to the newly renovated University building located at Mittelstrasse This scientific workshop will bring together researchers in the field and interested parties from around the world to discuss how epidemiological studies of exposure to background radiation and risk of childhood cancer can improve our understanding of the effects of low-dose ionising radiation. What works best? Migration is a growing challenge and concern in our modern societies, especially if we consider public health related issues.
We encourage all of you to send in a personal rejection. The first cohort will start April 26, Open access, of course Merry Christmas! Here you will see how you can easily upgrade your browser. He studied sports, political, and educational science from to in Potsdam, Berlin and Sydney. PhD in sports psychology, first at the Humboldt University Berlin , graduated in at the University of Potsdam about obese children coached by exercise professionals trained in need support.
He is still working in practice with patients, athletes, and supervising and leading a team of more than 30 exercise professionals and has 17 years of clinical experience. Andreas leads the STEP. De study with Prof Rapp exercise therapy for depression in health care services where he developed the psychological coaching and the specific exercise therapy and the SPeED study with Prof Heinzel Neurobiological Mechanisms of Exercise and Psychotherapy for Depression among further studies.
He teaches a. Heissel, A. European Journal of Health Psychology. Kallies, G. Serum brain-derived neurotrophic factor BDNF at rest and after acute aerobic exercise in major depressive disorder.
Infection Biology and Epidemiology
Zech, PA. Effects of aerobic and resistance exercise alone or combined on people living with HIV on strength and hormone outcomes. A meta-analysis. Heinzel, S. Neurobiological mechanisms of exercise and psychotherapy in depression: The SPeED study — rationale, design, and methodological issues. Class 2 consists of 1, participants and is exclusively female.
Class 3 is the youngest class with a mean age of Class 3 has a mean score of Figure 6. The figure shows the estimated marginal means for physical and mental HRQOL for the three classes at baseline and follow-up. This study aimed at identifying different subgroups of a population based on the health behaviors alcohol consumption, nutrition, PA and smoking, while also taking the influence of the parameters sex, age and education into account.
Three distinct classes were identified. All three classes show a unique pattern regarding the health behaviors.
Class 2 represents a healthy cluster, showing a very healthy pattern and the highest item probabilities for healthy behavior categories. Class 1 and class 3 on the other hand show more unhealthy profiles. Class 1 shows highest item probabilities for a risky alcohol consumption. In addition, class 1 has the highest probability for former smoking which has been associated with higher odds for hospital treatments and higher numbers in physician visits Cluster analysis is very exploratory and although comparisons with other studies are difficult because of different investigated health behaviors and methodological approaches, our results are in line with similar investigations.
In line with previous studies, we identified an overall healthy cluster with class 2 13 , 14 , 16 , 20 , 21 , 49 , Similar to previous studies, we observed a clustering of unhealthy smoking behavior and unhealthy alcohol consumption 11 , 15 , 16 , This clustering becomes very evident for class 3 and partially for class 1 considering the high number of ex-smokers in this class.
Some studies report a combination of excessive alcohol consumption and higher PA rates 14 , 16 , A tendency of this combination could be observed in class 1, which has highest item probabilities for drinking and the highest probability for active PA amongst the three classes. Regarding socio-demographic characteristics of the identified clusters, the present results are in line with previous studies. Previous research reported a higher male prevalence in more unhealthy clusters 14 , Our findings support this result, showing the highest female prevalence rates for the healthy class 2.
In our study, age and education were not a good indicator for distinguishing between healthy and unhealthy clusters, as younger and older clusters or more and less educated clusters can be found on both ends of the spectrum. A similar result is also mentioned in the systematic review of Meader et al. Conry et al. This result could not be replicated by our study. We found no clear association between a healthier behavior pattern and better physical or mental HRQOL. For the SF questionnaire a difference from three to five points can be seen as the minimal clinically relevant threshold Our study has several limitations.
One problem lies in the way the health behaviors are measured and operationalized. All information on health behaviors is self-reported and thus prone to information bias like recall-bias or social desirability-bias. Furthermore, taking average scores for PA by combining information on winter and summer can be considered as another weakness. However, especially in large cohort studies with many variables, one has to balance the tradeoff between accuracy and feasibility. Another limitation lies in the cross-sectional design of this study.
The clustering of the health behaviors is based on the baseline-study and therefore can only be seen as a snapshot.
Nevertheless, the questions in the KORA-study are conceptualized to gather information on an established behavior. A further drawback is the assumption that the health behavior pattern which was identified at baseline, remains stable over time. Even though, this assumption might be very bold, this is an adult population and there is evidence, that health behavior patterns are quite stable over time 52 , Another limitation of this study concerns the longitudinal description of HRQOL for the established clusters at baseline.
Taking this into account, the observed changes in physical and mental HRQOL might not necessarily reveal a true change on a population level. Although we adjusted our analyses for several variables, chances are high that HRQOL might have been influenced by a factor we did not adjust for, e. Therefore, residual confounding cannot be ruled out. Besides the aforementioned limitations, this study has several noticeable strengths. The data are collected in a large population-based cohort study.
The clustering is based on a latent class model. This approach offers a clustering based on a statistical model instead of more arbitrary cluster criteria and thus might be more sophisticated than traditional clustering approaches Moreover, this methodological approach allows introducing covariates to factor in their influence on health behavior patterns. Another strength of this study is that the clustering is not only based on dichotomous variables like the absence or presence of a risk factor but also on polytomous variables. Despite its limitations and the therefore limited level of inference, addressing the relevance of health behavior clusters by linking them to HRQOL—a clinically important outcome—adds value to this study.
In conclusion, this study identified distinct patterns of health behaviors within a large population-based sample. The observed health behavior patterns and the socio-demographic characteristics of the identified clusters are in line with the few other existing international studies. Knowledge on specific clusters which are common in an adult population are an important step for comprehensive health promoting public health policies. The clustering of lifestyle factors like health behaviors can give valuable information on characteristics of target groups for primary preventions.
Combining these findings with further information on big data by health care providers or individual risk probabilities might result in even more effective and comprehensive health care. Further research on health behavior patterns should focus on linking identified clusters to important medical outcomes in order to identify vulnerable groups and to allow for individualized patient-centered primary prevention programs.
MR: Formal analysis, investigation, methodology, and writing-original draft. The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. Dahlgren G, Whitehead M. Google Scholar. Osong Public Health Res Perspect. Geneva: World Health Organization Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks in countries, a systematic analysis for the Global Burden of Disease Study Lancet — Ezzati M, Lopez AD.
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