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Die Arbeit beleuchtet die Bedeutung der maximalen Laktatbildungsrate (V̇Lamax) für die Leistungsdiagnostik und die Trainingspraxis.
Für die Sportart Skilanglauf wurde ein neuer Sprinttest zur Bestimmung der V̇Lamax am Skiergometer entwickelt, der sich als reliabel und valide erwiesen hat. Dabei wurden verschiedene Ansätze zur Bestimmung der alaktaziden Zeit genauer betrachtet. Außerdem wurde der Sprinttest am Skiergometer mit dem etablierten Sprinttest am Radergometer verglichen, wobei festgestellt werden konnte, dass die V̇Lamax sportart- und extremitätsspezifisch getestet werden sollte.
Zudem wurde die Auswirkung von Intervalltraining unterschiedlicher Intensität im Radsport untersucht. Hochintensives Ausdauertraining scheint dabei die V̇Lamax zu steigern, wohingegen submaximales Sweetspot-Training die V̇Lamax zu senken scheint.
Temperature and non‐communicable diseases: Evidence from Indonesia's primary health care system
(2022)
Climate change induced rising temperatures will pose a detrimental threat to decent health in the coming decades. Especially at risk are individuals with chronic diseases, since heat can exacerbate a variety of health conditions. In this article, I examine the heat‐morbidity relationship in the context of Indonesia, focusing on chronic, non‐communicable diseases, namely diabetes, cardiovascular and respiratory diseases. Using a novel dataset from the Indonesian national health insurance scheme Jaminan Kesehatan Nasional/Badan Penyelenggara Jaminan Sosial (BPJS) and linking it with meteorological data on the daily‐district level, I estimate the causal effect of high temperatures on the daily number of primary health care visits. The results show that on a hot day all‐cause visits and visits with a diagnosis of diabetes and cardiovascular diseases increase by 8%, 25% and 14%, respectively. These increases are permanent and not offset by visit displacement or ‘harvesting’. Visits related to respiratory diseases seem not to be affected by high temperatures. I use several climate change scenarios to predict the increase in visits and costs by the end of the century, which all forecast a substantial financial burden for the health care system. These results might have relevance for other middle‐income countries with similar climatic conditions.
The Covid-19 pandemic requires a continuous evaluation of whether current policies and measures taken are sufficient to protect vulnerable populations. One quantitative indicator of policy effectiveness and pandemic severity is the case fatality ratio, which relies on the lagged number of infections relative to current deaths. The appropriate length of the time lag to be used, however, is heavily debated. In this article, I contribute to this debate by determining the temporal lag between the number of infections and deaths using daily panel data from Germany’s 16 federal states. To account for the dynamic spatial spread of the virus, I rely on different spatial econometric models that allow not only to consider the infections in a given state but also spill over effects through infections in neighboring federal states. My results suggest that a wave of infections within a given state is followed by increasing death rates 12 days later. Yet, if the number of infections in other states rises, the number of death cases within that given state subsequently decreases. The results of this article contribute to the better understanding of the dynamic spatio-temporal spread of the virus in Germany, which is indispensable for the design of effective policy responses.
Nudging individuals without obvious symptoms of non-communicable diseases (NCDs) to undergo a health screening remains a challenge, especially in middle-income countries, where NCD awareness is low but the incidence is high. We assess whether an awareness campaign implemented on Facebook can encourage individuals in Indonesia to undergo an online diabetes self-screening. We use Facebook’s advertisement function to randomly distribute graphical ads related to the risk and consequences of diabetes. Depending on their risk score, participants receive a recommendation to undergo a professional screening. We were able to reach almost 300,000 individuals in only three weeks. More than 1400 individuals completed the screening, inducing costs of about US$0.75 per person. The two ads labeled “diabetes consequences” and “shock” outperform all other ads. A follow-up survey shows that many high-risk respondents have scheduled a professional screening. A cost-effectiveness analysis suggests that our campaign can diagnose an additional person with diabetes for about US$9.
Baby Blues in Brasilien: Eine empirische Untersuchung sozialer und kultureller Einflussfaktoren
(2010)
Diese Arbeit beschäftigt sich mit dem Thema Baby Blues (Postpartum Blues) in Brasilien. Erkenntnisziel ist die Erforschung der für dieses Phänomen verantwortlichen Faktoren mit besonderem Fokus auf kulturellen und sozialen Einflussfaktoren. Es handelt sich um eine empirische Arbeit, bei der 33 Experteninterviews und 146 Wöchnerinnenbefragungen im Nordosten Brasiliens (Bundesstaat Paraíba) durchgeführt wurden. Methodisch handelt es sich um eine Triangulation bestehend aus einer qualitativen (Experteninterviews) und einer quantitativen Methode (Wöchnerinnenbefragungen). Die Arbeit ist Teil des Munich Post Partum Project, einer am Max-Planck-Institut Andechs (Gruppe Humanethologie) angesiedelten Forschungsgruppe.
