Be careful with ecological associations.


Journal

Nephrology (Carlton, Vic.)
ISSN: 1440-1797
Titre abrégé: Nephrology (Carlton)
Pays: Australia
ID NLM: 9615568

Informations de publication

Date de publication:
Jun 2021
Historique:
received: 01 02 2021
accepted: 06 02 2021
pubmed: 12 2 2021
medline: 4 1 2022
entrez: 11 2 2021
Statut: ppublish

Résumé

Ecological studies are observational studies commonly used in public health research. The main characteristic of this study design is that the statistical analysis is based on pooled (i.e., aggregated) rather than on individual data. Thus, patient-level information such as age, gender, income and disease condition are not considered as individual characteristics but as mean values or frequencies, calculated at country or community level. Ecological studies can be used to compare the aggregated prevalence and incidence data of a given condition across different geographical areas, to assess time-related trends of the frequency of a pre-defined disease/condition, to identify factors explaining changes in health indicators over time in specific populations, to discriminate genetic from environmental causes of geographical variation in disease, or to investigate the relationship between a population-level exposure and a specific disease or condition. The major pitfall in ecological studies is the ecological fallacy, a bias which occurs when conclusions about individuals are erroneously deduced from results about the group to which those individuals belong. In this paper, by using a series of examples, we provide a general explanation of the ecological studies and provide some useful elements to recognize or suspect ecological fallacy in this type of studies.

Identifiants

pubmed: 33570780
doi: 10.1111/nep.13861
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

501-505

Informations de copyright

© 2021 Asian Pacific Society of Nephrology.

Références

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Auteurs

Stefanos Roumeliotis (S)

Division of Nephrology and Hypertension, 1st Department of Internal Medicine, AHEPA Hospital, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece.

Samar Abd ElHafeez (S)

Epidemiology Department, High Institute of Public Health-Alexandria University, Alexandria, Egypt.

Kitty J Jager (KJ)

Department of Medical Informatics, Academic Medical Center, Amsterdam Public Health Research Institute|, University of Amsterdam, Amsterdam, The Netherlands.

Friedo W Dekker (FW)

Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.

Vianda S Stel (VS)

Department of Medical Informatics, Academic Medical Center, Amsterdam Public Health Research Institute|, University of Amsterdam, Amsterdam, The Netherlands.

Annalisa Pitino (A)

Institute of Clinical Physiology (IFC-CNR), Rome, Italy.

Carmine Zoccali (C)

Institute of Clinical Physiology (IFC-CNR), Clinical Epidemiology and Physiopathology of Renal Diseases and Hypertension of Reggio Calabria, Reggio Calabria, Italy.

Giovanni Tripepi (G)

Institute of Clinical Physiology (IFC-CNR), Clinical Epidemiology and Physiopathology of Renal Diseases and Hypertension of Reggio Calabria, Reggio Calabria, Italy.

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