Literature DB >> 21247886

Epidemiology in a changing world: variation, causation and ubiquitous risk factors.

Neil Pearce1.   

Abstract

We are all living in the era of globalization and, like it or not, it is going to change the way we practise epidemiology, the kinds of questions we ask and the methods we use to answer them. However, the methods, and ways of thinking about the health of populations, that will be required for epidemiology in the 21st century are in some instances quite different from the standard epidemiological techniques that are taught in most textbooks and courses today. As we develop epidemiological methods for addressing the scientific and public health problems of the 21st century, it is important that we consider, once again, the distinction between the analysis of variance and the analysis of causes. This has primarily been considered with respect to genetic research, and also with regard to the problems of making comparisons between different populations and environments at the same point in time. It has not been considered in depth with regard to the issues of conducting epidemiological research in a world that is changing over time. In this article, I first consider the statistical and scientific issues involved in the distinction between the analysis of variance and the analysis of causes. I then discuss some examples of the implications of this distinction for the theory and practice of epidemiology in a changing world, particularly with regard to risk factors that become ubiquitous over time. Sometimes the most important causes of disease are invisible because they are everywhere.

Mesh:

Year:  2011        PMID: 21247886     DOI: 10.1093/ije/dyq257

Source DB:  PubMed          Journal:  Int J Epidemiol        ISSN: 0300-5771            Impact factor:   7.196


  30 in total

1.  The current deconstruction of paradoxes: one sign of the ongoing methodological "revolution".

Authors:  Miquel Porta; Paolo Vineis; Francisco Bolúmar
Journal:  Eur J Epidemiol       Date:  2015-07-12       Impact factor: 8.082

2.  Dengue Incidence and Sociodemographic Conditions in Pucallpa, Peruvian Amazon: What Role for Modification of the Dengue-Temperature Relationship?

Authors:  Margot Charette; Lea Berrang-Ford; Oliver Coomes; Elmer Alejandro Llanos-Cuentas; César Cárcamo; Manisha Kulkarni; Sherilee L Harper
Journal:  Am J Trop Med Hyg       Date:  2020-01       Impact factor: 2.345

3.  Population Impact Attributable to Modifiable Risk Factors for Hyperuricemia.

Authors:  Hyon K Choi; Natalie McCormick; Na Lu; Sharan K Rai; Chio Yokose; Yuqing Zhang
Journal:  Arthritis Rheumatol       Date:  2019-12-03       Impact factor: 10.995

4.  Caution: work in progress : While the methodological "revolution" deserves in-depth study, clinical researchers and senior epidemiologists should not be disenfranchised.

Authors:  Miquel Porta; Francisco Bolúmar
Journal:  Eur J Epidemiol       Date:  2016-07-14       Impact factor: 8.082

Review 5.  Twin studies for the prognosis, prevention and treatment of musculoskeletal conditions.

Authors:  Lucas Calais-Ferreira; Vinicius C Oliveira; Jeffrey M Craig; Louisa B Flander; John L Hopper; Luci F Teixeira-Salmela; Paulo H Ferreira
Journal:  Braz J Phys Ther       Date:  2017-12-27       Impact factor: 3.377

Review 6.  Challenges and opportunities in genome-wide environmental interaction (GWEI) studies.

Authors:  Hugues Aschard; Sharon Lutz; Bärbel Maus; Eric J Duell; Tasha E Fingerlin; Nilanjan Chatterjee; Peter Kraft; Kristel Van Steen
Journal:  Hum Genet       Date:  2012-07-04       Impact factor: 4.132

7.  Epidemiology in a changing world: implications for population-based research on mental disorders.

Authors:  B Cooper
Journal:  Epidemiol Psychiatr Sci       Date:  2013-12-17       Impact factor: 6.892

8.  Artificial food colors and attention-deficit/hyperactivity symptoms: conclusions to dye for.

Authors:  L Eugene Arnold; Nicholas Lofthouse; Elizabeth Hurt
Journal:  Neurotherapeutics       Date:  2012-07       Impact factor: 7.620

9.  Let's take the heat out of the CKDu debate: more evidence is needed.

Authors:  Neil Pearce; Ben Caplin
Journal:  Occup Environ Med       Date:  2019-03-30       Impact factor: 4.402

Review 10.  The heritability of human disease: estimation, uses and abuses.

Authors:  Albert Tenesa; Chris S Haley
Journal:  Nat Rev Genet       Date:  2013-02       Impact factor: 53.242

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