Search results for “Germany

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11 articles

Loneliness and Bedtime Procrastination: Exploring a Model of Interconnectedness Among Young Adults in Germany

Oct 2024 DOI 10.14302/issn.2574-4518.jsdr-24-5287
Hast MichaelCorresponding author

Background/Aim This study aimed to examine the relationship between loneliness and bedtime procrastination in young adults in Germany, offering critical insights into the development and maintenance of both conditions. Specifically, it sought to test a new model that connects these two psychological constructs. Materials and Methods A quantitative online survey was conducted with 500 young adults (Mage = 23.3, 83.6% female). Loneliness was assessed using the UCLA Loneliness Scale, while bedtime procrastination was measured using the Bedtime Procrastination Scale. Results The results show a significant positive correlation between loneliness and bedtime procrastination in young adults. Sleep quality was also found to significantly correlate positively with loneliness as well as with bedtime procrastination. Conclusion The findings provide a crucial framework for understanding the relationship between the two psychological constructs of loneliness and bedtime procrastination. Implications for possible future interventions are discussed.

A Model-Based Estimation of Annual Long-Term Care Costs in Germany Following Post-Operative Cognitive Dysfunction (POCD) in Elderly Patients

Mar 2021 DOI 10.14302/issn.2641-4538.jphi-21-3765
A. Weber SimonCorresponding author Cellogic GmbH, Niedstrasse 21, 12159 Berlin, Germany

Acute post-operative delirium (POD) and long-term post-operative cognitive dysfunction (POCD) are frequent and associated with increased mortality, dependency on care giving and institutionalization rates. The POCD-related cost burden on the German long-term care insurance provides an indication for the savings potential from risk-adapted treatment schemes. Comprehensive estimates have not been assessed or published so far. A model-based cost-analysis was designed to estimate POCD-related costs in the long-term care insurance. Comprehensive analysis of inpatient operations and procedures (OPS-codes) served as the base for case number calculations, which were then used as input to the actual cost model. POCD-incidence rates were obtained from the BioCog study. Various sensitivity analyses were performed to assess uncertainty of the model results. Total POCD related annual costs in the German long-term care insurance account for approximately 1.6 billion EUR according to the base case of our analysis. Total annual costs for all POCD cases depend on surgery numbers, incidence rates, other assumptions, and uncertain input parameters. The financial burden to the long-term care insurance is substantial, even in a conservative scenario of the cost model. Variability of results stems from uncertain assumptions, POCD-incidence rates and from uncertain patient numbers who are undergoing surgery and are therefore at risk to develop POCD.

Deficits in Psycho-Oncological Care among Turkish Immigrant Women with Breast Cancer in Germany – An Interview Study.

Sep 2017 DOI 10.14302/issn.2574-612X.ijpr-17-1746
Spallek JacobCorresponding author Department Epidemiology & International Public Health, School of Public Health, Bielefeld University, Germany

Objective: Aim of this study was to assess appraisal and utilization of psycho-oncological care of Turkish female breast cancer patients in Germany. The presented results are part of a larger study about care of female German and Turkish cancer patients in Germany (4B-study). Methods: In this qualitative study semi-structured face to face interviews were conducted with Turkish breast cancer patients in Germany. Interviews were transcribed and analyzed in Turkish by two Turkish speaking researchers via content analysis using MAXQDA qualitative analysis software (version 11). Results were discussed among a bilingual research team. Selected citations were translated. Results: Turkish patients showed a great need for support, particularly emotional and informational support. However, the available psycho-oncological care was rarely used due to lack of information, prejudice, language and cultural barriers. A missing belief in effectiveness of psycho-oncological care was also noted. Conclusions: According to this study, psycho-oncological services do not adequately correspond to the needs of Turkish breast cancer patients. If confirmed in more extensive studies, these findings call for the development of migrant-sensitive approaches and therapeutic action to provide ease to cancer patients. Additionally, prejudice against psycho-oncological care needs to be reduced in the Turkish community.

Compliance to Company Based Colorectal Cancer Screening in Germany using Fecal Immunochemical Test (FIT) - Results of Almost Half a Million FIT Tests

Aug 2017 DOI 10.14302/issn.2471-7061.jcrc-17-1624
Claudia PieperCorresponding author Institute for Medical Informatics, Biometry und Epidemiology, University Hospital of Essen, Hufelandstraße 55, 45122 Essen, Germany,

Background Despite the existence of the statutory early cancer detection program in Germany and the removal of financial barriers, which is frequently reported in the literature to be the main obstacle in screening, uptake of colorectal cancer screening remains quite low. The campaign for colorectal cancer screening in German companies reported in this article started in 2010. It was initiated because of the low compliance with opportunistic public colorectal cancer screening efforts. Its goal is to improve participation by offering an organized screening program using a simple test (FIT). Methods An offer for company employees is publicized through posters, company newsletters and the intranet. The difference between the positivity rates of those who returned the kits within 20 days and later than 20 days was assessed using the Z-test. The average time between a positive result and colonoscopy was estimated using the Poincaré plot method. The positive predictive values were calculated for carcinomas, advanced adenomas or any lesions. The sensitivity and specificity of immoCare-C published by Vogel et al. and Hundt et al. were used to derive the confidence intervals for the positive likelihood ratio (for carcinoma and any kind of adenoma). Results A total of 312,147 kits were returned and analyzed (return rate 70.2%). 5.6% gave a positive result. The PPV for cancer aged between 55 and 74 was 4.6% for men and women (95% CI: 2.38%-6.76% and 1.28%-7.99%, respectively), but 22% for men (95% CI: 17.93%-26.65%) and 8% for women (95%CI: 3.63%-12.26%) for advanced adenomas. The PPV for any lesion was higher for those with familial risk (49.3%) and 42.6% for those without familial risk (95% CI: 40.2%-45.0%), but with overlapping confidence intervals. Conclusions The reported sample is not representative. Although, offering CRC screening in companies may be an effective way of increasing uptake in the target population. Differences in the test performance between men and women need further evaluation.

Multivariate Analysis of Noise, Socioeconomic and Sociodemographic Factors and Their Association with Depression on Borough Level in the City State of Hamburg, Germany

Jul 2017 DOI 10.14302/issn.2476-1710.jdt-17-1564
Caroline Krefis AnneCorresponding author Institute for Health Services Research in Dermatology and Nursing (IVDP), University Medical Center Hamburg-Eppendorf (UKE), Martinistraße 52, 20246 Hamburg, Germany

The objective of this first part of our study was to investigate associations of road traffic noise, socioeconomic and -demographic risk factors, and health access on depression on borough level. We investigated in a large metropolis associations between prevalence rates of depression per borough (n = 67 boroughs) in all age groups (excluding the age group of 0–17 years) using health claims data (year 2011) and the variables “social deprivation” and “number of family members”, which were obtained from a previously conducted principal component analysis, and by using multivariate regression model. Additionally, the proportion of borough area affected by noise > 65 db(A) and physician density used as a surrogate parameter for health access were considered as potentially associated factors for depression. The results demonstrated that depression might be associated with increasing social borough deprivation. Additionally, the number of family members used as a proxy measure for positive family support showed decreasing prevalence rates the more family members were present. Furthermore, proportions of borough areas affected by noise > 65 db(A) was positively associated with depression. Our ecological study design has the advantage that a large number of large-scale, population-based aggregated data could easily be obtained and analysed and first potential associations could be found and discussed. To improve our findings, future studies will use data from a survey and data from the Hamburg City Health Study, a local follow-up health study, to better elucidate the individual risk factors together with environmental living and working conditions.

Models and data Analysis of the Outbreak Risk of COVID-19

Jan 2021 DOI 10.14302/issn.2692-1537.ijcv-20-3383
Zhao BinCorresponding author School of Science, Hubei University of Technology, Wuhan, Hubei, China.

With the spread of the new coronavirus around the world, governments of various countries have begun to use the mathematical modeling method to construct some virus transmission models assessing the risks of spatial spread of the new coronavirus COVID-19, while carrying out epidemic prevention work, and then calculate the inflection point for better prevention and control of epidemic transmission. This work analyzes the spread of the new coronavirus in China, Italy, Germany, Spain, and France, and explores the quantitative relationship between the growth rate of the number of new coronavirus infections and time. In investigating the dynamics of a disease such as COVID-19, its mathematical representation can be constructed at many levels of details, guided by the questions the model tries to help answer. Mathematical sophistication may have to yield to a more pragmatic approach closer to the ability to make predictions that inform public health policies. Background In December 2019 , the first Chinese patients with pneumonia of unknown cause is China admitted to hospital in Wuhan, Hubei Jinyintan , since then, COVID-19 in the rapid expansion of China Wuhan, Hubei, in a few months time, COVID-19 is Soon it spread to a total of 34 provincial-level administrative regions in China and neighboring countries, and Hubei Province immediately became the hardest hit by the new coronavirus. In an emergency situation, we strive to establish an accurate infectious disease retardation growth model to predict the development and propagation of COVID-19, and on this basis, make some short-term effective predictions. The construction of this model has Relevant departments are helpful for the prevention and monitoring of the new coronavirus, and also strive for more time for the clinical trials of Chinese researchers and the research on vaccines against the virus to eliminate the new corona virus as soon as possible. Methods According to the original data change law, Establish a Logistic growth model, we collect and compare and integrate the spread of COVID-19 in China, Italy, France, Spain and Germany, record the virus transmission trend among people in each country and the protest measures of relevant government departments. Findings Based on the analysis results of the Logistic model model, the Logistic model has a good fitting effect on the actual cumulative number of confirmed cases, which can bring a better effect to the prediction of the epidemic situation and the prevention and control of the epidemic situation. Interpretation In the early stage of the epidemic, due to inadequate anti-epidemic measures in various countries, the epidemic situation in various countries spread rapidly. However, with the gradual understanding of COVI D -19, the epidemic situation began to be gradually controlled, thereby retarding growth

Dynamics of Infections and Number of Vaccines Needed to Avoid Covid-19 in Europe

Oct 2020 DOI 10.14302/issn.2692-1537.ijcv-20-3587
Isea RaúlCorresponding author Fundación Instituto de Estudios Avanzados, Hoyo de la Puerta, Baruta. Venezuela.

The work analyzes the dynamics of transmission of infections by the new coronavirus in twelve European countries, including France, Germany, Italy, Spain, UK, Austria, Croatia, Denmark, Greece, Romania, Czech Republic, and Portugal, whose data from contagion were obtained by Johns Hopkins University until September 24, 2020. The study confirmed that this new coronavirus (SARS-CoV-2) surprised all the countries of the world that had to improve their public health policies to confront this disease according to the results obtained from the calculation of the mantissa. Although the countries were able to improve their policies after the first wave of contagion, Spain and France have the highest proportion of cases that stand out significantly with the rest of the countries in the second wave of infections that the world faces again. Likewise, the beginning of the epidemic outbreak was determined, which could help to track the spread of the disease through European countries (not the first case registered in each country), from which it can be inferred that the outbreak begins in Italy and later the rebound begins in Germany, France, and Spain. Within days, it significantly affects Greece and Austria, reaching Denmark, the Czech Republic, Romania, and Croatia. Finally, the number of people who must be vaccinated to counteract the advance of Covid-19 in these European countries was determined based on the calculation of the Effective Reproductive Number, Rt. The number of people that would have to be vaccinated in all these countries to counteract this disease sums up to 206.830.361.

A quick Look at the Registered Cases of Covid-19 Throughout the World

Jul 2020 DOI 10.14302/issn.2692-1537.ijcv-20-3453
Isea RaulCorresponding author Fundación Instituto de Estudios Avanzados IDEA, Hoyo de la Puerta, Baruta, Venezuela

The present work analyzes the registered cases of Covid-19 throughout the world according the data registered at Johns Hopkins University. We selected 15 countries to analyze their data. In alphabetical order the countries are: Argentina, Australia, Brazil, Chile, China, Colombia, Germany, India, Italy, Mexico, Peru, Portugal, Spain, United States and Venezuela. With this information, three different studies were carried out. First, the data was validated using Benford's Law which is based on forensic techniques that allow us to guarantee the integrity of the information. Later, we calculated the value of the basic reproduction number (R0), ie., the number of secondary host infections caused by one primary host infection that helps us to determine if a country has an outbreak of Covid-19. Finally, we show that the best representation for the change in the number of cases in the time is to calculate the mantissa value, ie., the floating number obtained from the logarithm of the data.

How Valid are the Reported Cases of People Infected with Covid-19 in the World?

May 2020 DOI 10.14302/issn.2692-1537.ijcv-20-3376
Isea RaulCorresponding author Fundación Instituto de Estudios Avanzados IDEA, Hoyo de la Puerta, Baruta, Venezuela

The goal of this paper is to analyze the registered cases of people who have been infected with Covid-19 registered from throughout the world, using a digital forensic analysis technique that is based on Benford's Law. Twenty-three countries were randomly chosen for this analysis: China, India, Germany, Brazil, Venezuela, Netherlands, Italy, Colombia, Russia, Norway, South Africa, Portugal, Singapore, United Kingdom, Chile, Ecuador, Egypt, Denmark, Ireland, France, Belgium, Australia and Croatia.. We calculate on the p-values based on Pearson χ2 and Mantissa Arc Test according to the results obtained with the first digit. If any country fails these two tests, a third proof will be carried out based on the Freedman-Watson test. The results indicated that results from Italy, Portugal, Netherlands, United Kingdom, Denmark, Belgium and Chile are suspicions of data manipulation because the numbers fail the Benford’s Law according to the results obtained until April 30, 2020. However, it is necessary to carry out further studies in these countries in order to ensure that they countries manipulate or altered the information. 

Invivo Impact of Malaria and HIV Co-Infection on CD4 Cell Count of Infected Patients of Niger Delta Extraction

May 2020 DOI 10.14302/issn.2328-0182.japst-20-3347
Obioma AzuonwuCorresponding author Department of Medical Laboratory Science, Medical Bacteriology / Virology / Parasitology Unit, Rivers State University, Nkpolu – Oroworukwo, Port Harcourt, Rivers State, Nigeria.

The study evaluated the impact of co-infection of malaria parasitaemia, and HIV positive indices on the CD4 cell count of 120 HIV infected subjects, who were already diagnosed and visiting Braithwaite Memorial Specialist Hospital Port Harcourt for routine Medical check-up. Also, a control group of 40 HIV negative were included as part of the study control group. The subjects were between the age ranges of ≤10–79 years respectively. A double check laboratory assay was conducted to detect the presence of antibody to HIV as confirmed using immunocomb 11 and Determine for HIV status. A thick Blood film stained with field stain (A and B) was used to detect the presence of malaria parasite in the subject’s blood. Furthermore, CD4 cell count was assayed using Partec cyflow counter (Partec, Germany). Excel and Graphpad statistical software were used for analysis of the data generated. The result among the HIV positive subjects and control subjects revealed that the highest positive for malaria infection was observed among ≤10 years age group as 2 (100%) and 11 (84.61%) respectively. In the HIV positive subjects, the distribution of malaria infection among sex revealed a high rate in male 42(77.78%) than in female 44 (66.67%). Similarly, the control recorded a high rate of malaria infection in male 11 (57.89%) than in female 7 (33.33%). However, 86 (71.67%) had malaria and HIV co-infection while 34 (65%) had only HIV mono infection. The positive HIV subjects who had CD4 cells count below 200 cells/mm3 were 15%, above 200-499cells/mm3 were 58.3% while 500 cells/mm3 and above had normal CD4 cells counts for 26%. Nonetheless, for the control subjects, no CD4 cells count of below 200cells/ mm was observed, 2.5% fell within the moderate category while 75% had normal CD4 cells count. Statistical analysis using ANOVA and t-test showed that there is significant difference between CD4 of seropositive and seronegative subjects infected with or without malaria (p=0.00). In addition, a t-test further demonstrated Comparison of Mean CD4 Cell Count among HIV and Malaria Infected and Non-Infected Subjects. MP/HIV Co-Infection and Mono Infection with No Infection showed strong mean difference (p=0.00) in the various CD4 counts while HIV Mono-Infection and others only had a non significant (p=0.44) mean difference between HIV Mono-Infection and No HIV or Malaria Infection. A robust and effective malaria and HIV control management programme should be strongly underpinned; so as to improve the quality of life of patients and HIV patients should be encouraged to live a healthy life style, through the provision of antiretroviral drugs and regular health education engagement, even as the provision of antimalarial treated net would be helpful to the subjects.

A Randomized Controlled Biofeedback Intervention Study On Heart Rate Variability In Unemployed Subjects

Mar 2017 DOI 10.14302/issn.2476-1710.jdt-16-1332
Petrowski KatjaCorresponding author Department of Psychotherapy and Psychosomatic Medicine, Dresden, Germany University Hospital Carl Gustav Carus Dresden, Technische Universitaet Dresden, Fetscherstr.

Background: Unemployment is a chronic stressor which is associated with higher levels of impaired physical and mental wellbeing, e.g. reduced heart rate variability (HRV) and decline in self-esteem and self-efficacy. The present study investigated the effectivity of a HRV-biofeedback-training in increasing HRV and general self-efficacy. Method: A total of n = 22 unemployed individuals with adjustment disorder participated in this study (14 females, mean ages 42.53 ± 8.88 years). All participants performed randomized the “stress tests” for heart rate (HR) and HRV assessment: timed breathing, d2-attention-stress-test and math-test drawn from the Trier Social Stress Test (TSST). Four sessions HRV-biofeedback à 20 min within 2 weeks were administered. HR and HRV were assessed before and after biofeedback training. ECG preprocessing and analysis were performed with the Stressball software program (BioSign GmbH, Ottenhofen, Germany). The RMSSD time domain measure was calculated as HRV index. Clinical outcome measures were the ADNM total score and the general self-efficacy scale (GSE). Results: Participants were well matched in terms of demographic and clinical characteristics. ANOVA didn’t demonstrate significant time x group interaction effects neither for HRV parameters (HR, RMSSD) nor for psychological parameters (ADNM, GSE). Conclusion: Our findings do not indicate that HRV-biofeedback can increase HRV nor general self-efficacy in unemployed subjects with adjustment disorder. Implications for future studies are discussed.

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