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Multilevel Modelling for Public Health and Health Services Research

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ISBN: 9783030348014 Year: Pages: 286 DOI: 10.1007/978-3-030-34801-4 Language: English
Publisher: Springer Nature
Subject: Public Health --- Medicine (General) --- Sociology --- Internal medicine --- Mathematics
Added to DOAB on : 2020-06-16 23:58:40
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Abstract

This open access book is a practical introduction to multilevel modelling or multilevel analysis (MLA) – a statistical technique being increasingly used in public health and health services research. The authors begin with a compelling argument for the importance of researchers in these fields having an understanding of MLA to be able to judge not only the growing body of research that uses it, but also to recognise the limitations of research that did not use it. The volume also guides the analysis of real-life data sets by introducing and discussing the use of the multilevel modelling software MLwiN, the statistical package that is used with the example data sets. Importantly, the book also makes the training material accessible for download – not only the datasets analysed within the book, but also a freeware version of MLwiN to allow readers to work with these datasets. The book’s practical review of MLA comprises: Theoretical, conceptual, and methodological background Statistical background The modelling process and presentation of research Tutorials with example datasets Multilevel Modelling for Public Health and Health Services Research: Health in Context is a practical and timely resource for public health and health services researchers, statisticians interested in the relationships between contexts and behaviour, graduate students across these disciplines, and anyone interested in utilising multilevel modelling or multilevel analysis. “Leyland and Groenewegen’s wealth of teaching experience makes this book and its accompanying tutorials especially useful for a practical introduction to multilevel analysis.” ̶ Juan Merlo, Professor of Social Epidemiology, Lund University “Comprehensive and insightful. A must for anyone interested in the applications of multilevel modelling to population health”. ̶ S. (Subu) V. Subramanian, Professor of Population Health and Geography, Harvard University ; For researchers and students with a basic mastery of ordinary least squares and logistic regression Discusses multilevel analysis in context of public health, health services research, and epidemiology Includes an online component where users can download the datasets analyzed in the book, and also a freeware version of the multilevel modelling software MLwiN ​​​​​​​Can be used as part of a course on multilevel modelling, or as a self-training text

The Impact of Caffeine and Coffee on Human Health

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ISBN: 9783039218349 9783039218356 Year: Pages: 322 DOI: 10.3390/books978-3-03921-835-6 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Biology --- Nutrition and Food Sciences
Added to DOAB on : 2020-01-07 09:21:22
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The purpose of this Special Issue is to provide a thorough and up-to-date presentation of research investigating the impact of coffee and/or caffeine intake on various health outcomes. Areas of interest include, but are not limited to, the following topics: Human clinical trials of coffee or caffeine use in relation to disease or intermediate phenotypes. Epidemiological studies of habitual coffee or caffeine intake in relation to human health, among the general public, as well as, among special populations (i.e., children, pregnant women, diabetics, cancer patients, hypertensives, etc.). Mechanisms of action of nutrients and other bioactive components of coffee/caffeine. Studies integrating genetic or physiological markers of coffee/caffeine intake to investigations of coffee and health.

Keywords

accidental death --- caffeine --- caffeine intoxication --- intoxication --- Suicide --- HIV-HCV co-infection --- liver fibrosis --- coffee --- alcohol consumption --- coffee --- tea --- European Prospective Investigation into Cancer and Nutrition --- 24-h dietary recall --- whole-blood --- mRNA --- transcriptomics --- gene expression --- coffee --- the Norwegian Women and Cancer Cohort (NOWAC) --- caffeine --- myocardial perfusion --- coronary artery disease --- adenosine --- regadenoson --- dipyridamole --- caffeine intake --- assisted reproduction techniques --- risk factors --- implantation --- clinical pregnancy --- live birth --- epidemiology --- bias --- causation --- coffee --- pregnancy --- coffee --- depression --- cohort study --- Mendelian Randomization --- coffee --- caffeine --- behavior --- causality --- genetic epidemiology --- epidemiological methods --- cardiovascular disease --- coffee consumption --- gene-diet interaction --- longevity --- NADH dehydrogenase --- polymorphism --- serum chloride levels --- CYP1A2 --- ADORA2A --- time trial performance --- caffeine metabolism --- pharmacological ergogenic aid --- polymorphism --- anxiety --- ergogenic --- adenosine receptor --- cytochrome P450 --- caffeine --- pharmacogenomics --- coffee --- caffeine --- chlorogenic acids --- phenolic --- cognition --- cognitive --- mood --- age --- sex --- caffeine --- wine --- chocolate --- aging --- cognition --- adult --- coffee --- hearing --- protection --- tinnitus --- Caffeine --- placebo --- sport --- exercise --- health --- expectancy --- cognitions --- caffeine --- coffee --- systematic review --- pregnancy --- safety --- individual responses --- ergogenic aid --- supplement --- did not respond --- responders --- n/a --- caffeine --- coffee --- tea --- soda --- energy drinks --- mate --- guidelines --- country --- consumption --- population --- public policy --- coffee --- caffeine --- lipids --- biomarkers --- trial --- lysophosphatidylcholine --- lipidomics --- n/a

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