Literature DB >> 18090999

Nested randomized trials in large cohorts and biobanks: studying the health effects of lifestyle factors.

John P A Ioannidis1, Hans-Olov Adami.   

Abstract

Most diseases are likely to result largely from the interplay of lifestyle and genetic factors. However, both observational studies and randomized trials have faced major limitations in trying to address the impact of lifestyle on health. As large cohorts and biobanks are being developed, we need to find novel, efficient ways to address the effects of lifestyle interventions. We propose that this could be done using multiple lifestyle factorial experimental designs that combine characteristics of randomized trials and epidemiologic studies. Randomized trials of simple lifestyle interventions can be nested within large cohorts linked to reliable registries of outcomes. Participants can choose from a long list of simple lifestyle randomization options and many interventions may be tested concurrently with factorial randomization. Participants can tailor their own personal trial choosing several items among long laundry lists of randomization options. Participants are citizen-scientists rather than passive subjects and this may be attractive in modern societies of health-conscious people. These trials can use the existing machinery of the cohort for data collection and outcome linkage at no or minimal additional cost. We discuss a number of issues on the implementation of multiple lifestyle factorial experimental designs, as compared with the usual observational studies and randomized trials. These include participation, the number of allowed randomizations per participant, compliance/adherence, power, false-negatives, false-positives, composite lifestyle effects, selection of outcomes, follow-up and monitoring, masking and allocation concealment, age of participants, confounding, and cost. The aim should be to combine carefully the strengths of both observational epidemiology and randomized research without compounding their limitations.

Entities:  

Mesh:

Year:  2008        PMID: 18090999     DOI: 10.1097/EDE.0b013e31815be01c

Source DB:  PubMed          Journal:  Epidemiology        ISSN: 1044-3983            Impact factor:   4.822


  13 in total

1.  The Cancer Epidemiology Descriptive Cohort Database: A Tool to Support Population-Based Interdisciplinary Research.

Authors:  Amy E Kennedy; Muin J Khoury; John P A Ioannidis; Michelle Brotzman; Amy Miller; Crystal Lane; Gabriel Y Lai; Scott D Rogers; Chinonye Harvey; Joanne W Elena; Daniela Seminara
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2016-07-20       Impact factor: 4.254

2.  Generating large-scale longitudinal data resources for aging research.

Authors:  John Gallacher; Scott M Hofer
Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  2011-07       Impact factor: 4.077

3.  Learning how to improve healthcare delivery: the Swedish Quality Registers.

Authors:  H-O Adami; M A Hernán
Journal:  J Intern Med       Date:  2014-11-24       Impact factor: 8.989

4.  Perspective: Limiting Dependence on Nonrandomized Studies and Improving Randomized Trials in Human Nutrition Research: Why and How.

Authors:  John F Trepanowski; John P A Ioannidis
Journal:  Adv Nutr       Date:  2018-07-01       Impact factor: 8.701

5.  Leveraging Citizen Science and Information Technology for Population Physical Activity Promotion.

Authors:  Abby C King; Sandra J Winter; Jylana L Sheats; Lisa G Rosas; Matthew P Buman; Deborah Salvo; Nicole M Rodriguez; Rebecca A Seguin; Mika Moran; Randi Garber; Bonnie Broderick; Susan G Zieff; Olga Lucia Sarmiento; Silvia A Gonzalez; Ann Banchoff; Juan Rivera Dommarco
Journal:  Transl J Am Coll Sports Med       Date:  2016-05-15

Review 6.  The role of the pathologist in tissue banking: European Consensus Expert Group Report.

Authors:  Generoso Bevilacqua; Fred Bosman; Thibaut Dassesse; Heinz Höfler; Anne Janin; Rupert Langer; Denis Larsimont; Manuel M Morente; Peter Riegman; Peter Schirmacher; Giorgio Stanta; Kurt Zatloukal; Elodie Caboux; Pierre Hainaut
Journal:  Virchows Arch       Date:  2010-02-16       Impact factor: 4.064

7.  Feasibility of a large cohort study in sub-Saharan Africa assessed through a four-country study.

Authors:  Shona Dalal; Michelle D Holmes; Carien Laurence; Francis Bajunirwe; David Guwatudde; Marina Njelekela; Clement Adebamowo; Joan Nankya-Mutyoba; Faraja S Chiwanga; Jimmy Volmink; Ikeoluwapo Ajayi; Robert Kalyesubula; Todd G Reid; Douglas Dockery; David Hemenway; Hans-Olov Adami
Journal:  Glob Health Action       Date:  2015-05-25       Impact factor: 2.640

8.  The role of national registries in improving patient safety for hip and knee replacements.

Authors:  Anne Lübbeke; Alan J Silman; Daniel Prieto-Alhambra; Amanda I Adler; Christophe Barea; Andrew J Carr
Journal:  BMC Musculoskelet Disord       Date:  2017-10-16       Impact factor: 2.362

9.  Online randomized controlled experiments at scale: lessons and extensions to medicine.

Authors:  Ron Kohavi; Diane Tang; Ya Xu; Lars G Hemkens; John P A Ioannidis
Journal:  Trials       Date:  2020-02-07       Impact factor: 2.279

10.  Toward a roadmap in global biobanking for health.

Authors:  Jennifer R Harris; Paul Burton; Bartha Maria Knoppers; Klaus Lindpaintner; Marianna Bledsoe; Anthony J Brookes; Isabelle Budin-Ljøsne; Rex Chisholm; David Cox; Mylène Deschênes; Isabel Fortier; Pierre Hainaut; Robert Hewitt; Jane Kaye; Jan-Eric Litton; Andres Metspalu; Bill Ollier; Lyle J Palmer; Aarno Palotie; Markus Pasterk; Markus Perola; Peter H J Riegman; Gert-Jan van Ommen; Martin Yuille; Kurt Zatloukal
Journal:  Eur J Hum Genet       Date:  2012-06-20       Impact factor: 4.246

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