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American Journal of Epidemiology 2005 161(3):280-288; doi:10.1093/aje/kwi042
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Copyright © 2005 by the Johns Hopkins Bloomberg School of Public Health

PRACTICE OF EPIDEMIOLOGY

Quality of Reporting of Observational Longitudinal Research

Leigh Tooth1 , Robert Ware1, Chris Bain1, David M. Purdie1,2 and Annette Dobson1

1 School of Population Health, The University of Queensland, Brisbane, Queensland, Australia.
2 Population Studies and Human Genetics Division, Queensland Institute of Medical Research, Brisbane, Queensland, Australia.

Observational longitudinal research is particularly useful for assessing etiology and prognosis and for providing evidence for clinical decision making. However, there are no structured reporting requirements for studies of this design to assist authors, editors, and readers. The authors developed and tested a checklist of criteria related to threats to the internal and external validity of observational longitudinal studies. The checklist criteria concerned recruitment, data collection, biases, and data analysis and descriptive issues relevant to study rationale, study population, and generalizability. Two raters independently assessed 49 randomly selected articles describing stroke research published from 1999 to 2003 in six journals: American Journal of Epidemiology, Journal of Epidemiology and Community Health, Stroke, Annals of Neurology, Archives of Physical Medicine and Rehabilitation, and American Journal of Physical Medicine and Rehabilitation. On average, 17 of the 33 checklist criteria were reported. Criteria describing the study design were better reported than those related to internal validity. No relation was found between study type (etiologic or prognostic) or word count and quality of reporting. A flow diagram for summarizing participant flow through a study was developed. Editors and authors should consider using a checklist and flow diagram when reporting on observational longitudinal research.

epidemiologic factors; longitudinal studies


Abbreviations: CONSORT, Consolidated Standards of Reporting Trials; SD, standard deviation.


Correspondence to Dr. Leigh Tooth, School of Population Health, University of Queensland, Herston Medical School, Herston, Queensland, 4006 Australia (e-mail: L.tooth{at}sph.uq.edu.au).


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