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Methodological Considerations for Designing Observational Public Health Studies

A special issue of International Journal of Environmental Research and Public Health (ISSN 1660-4601). This special issue belongs to the section "Health Communication and Informatics".

Deadline for manuscript submissions: closed (31 May 2022) | Viewed by 2034

Special Issue Editors


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Guest Editor
Department of Mathematics and Statistics, Macquarie University, Sydney 2109, Australia
Interests: statistics in medicine
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Colorectal Research Center, Iran University of Medical Sciences, Tehran, Iran
Interests: colorecta; functional GI disorder; chronic liver diseases; H. pylori

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Guest Editor
Department of Epidemiology and Biostatistics, School of Public Health, Isfahan University of Medical Sciences, Isfahan, Iran
Interests: Biostatistic; Epidemiology

Special Issue Information

Dear Colleagues,

Recently, the phenomenon of case and control selection and its corresponding impacts have sparked heated debate. The paradigm of description of case and control groups, besides good selection of them based on inclusion and exclusion criteria, is one of the most important aspects of performing a good case control study in public health. We emphasize that this paradigm can affect the results of studies and the conclusions that researchers and clinicians could then pick up and employ in their practice. Therefore, we decided to clarify the effect of changing the control and case group definition on the results, odds ratio (OR) and its confident intervals in two analytical articles in our large database. It will be constructive for any researcher in this field and every researcher who is interested in case-control studies.

Dr. Hassan Doosti
Prof. Dr. Shahram Agah
Prof. Dr. Awat Feizi
Guest Editors

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Keywords

  • Public health
  • Case-control
  • Cohort
  • Cross-sectional
  • Study design
  • Observational studies

Published Papers (1 paper)

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12 pages, 1004 KiB  
Article
Impact of Best-Fitted Control Selection on Effect Size: An Example in Functional GI Disorder Case–Control Studies
by Peyman Adibi, Shahram Agah, Hassan Doosti and Awat Feizi
Int. J. Environ. Res. Public Health 2021, 18(19), 10296; https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph181910296 - 29 Sep 2021
Viewed by 1440
Abstract
Background: Effect sizes are the most useful quantities for communicating the practical significance of results and helping to facilitate cumulative science. We hypothesize that the selection of the best-fitted controls can significantly affect the estimated effect sizes in case–control studies. Therefore, we decided [...] Read more.
Background: Effect sizes are the most useful quantities for communicating the practical significance of results and helping to facilitate cumulative science. We hypothesize that the selection of the best-fitted controls can significantly affect the estimated effect sizes in case–control studies. Therefore, we decided to exemplify and clarify this effect on effect size using a large data set. The objective of this study was to investigate the association among variables in functional gastrointestinal disorders (FGIDs) and mental health problems, common ailments that reduce the quality of life of a large proportion of the community worldwide. Method: In this methodological study, we constitute case and control groups in our study framework using the Epidemiology of Psychological, Alimentary Health and Nutrition (SEPAHAN) dataset of 4763 participants. We devised four definitions for control in this extensive database of FGID patients and analyzed the effect of these definitions on the odds ratio (OR): 1. conventional control: without target disorder/syndrome (sample size 4040); 2. without any positive criteria: criterion-free control (sample size 1053); 3. syndrome-free control: without any disorder/syndrome (sample size 847); 4. symptom-free control: without any symptoms (sample size 204). We considered a fixed case group that included 723 patients with a Rome III-based definition of functional dyspepsia. Psychological distress, anxiety, and depression were considered as dependent variables in the analysis. Logistic regression was used for association analysis, and the odds ratio and 95% confidence interval (95%CI) for OR were reported as the effect size. Results: The estimated ORs indicate that the strength of the association in the first case–control group is the lowest, and the fourth case–control group, including controls with completely asymptomatic people, is the highest. Ascending effect sizes were obtained in the conventional, criterion-free, syndrome-free, and symptom-free control groups. These results are consistent for all three psychological disorders, psychological distress, anxiety, and depression. Conclusions: This study shows that a precise definition of the control is mandatory in every case–control study and affects the estimated effect size. In clinical settings, the selection of symptomatic controls using the conventional definition could significantly diminish the effect size. Full article
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