101
Views
0
CrossRef citations to date
0
Altmetric
Research Article

The “exposure-based cross-sectional” study design: a novel observational study design applicable to rare exposures

ORCID Icon
Pages 285-291 | Received 27 Apr 2021, Accepted 24 Jun 2022, Published online: 06 Jul 2022
 

Abstract

Current epidemiological studies are either inefficient or very expensive and time-consuming when the exposure of interest is very rare. The ‘exposure-based cross-sectional’ study is a new design that can overcome this problem. The ‘exposure-based cross-sectional’ study starts with exposed and unexposed groups. Then, these two groups are compared to determine what proportion of each group have the disease and what proportion do not. It is as if we were conducting a reversed case–control study in which the positions of the disease and exposures are altered. Dissimilar to retrospective cohort studies, the ‘exposure-based cross-sectional’ study does not depend on the basic existing records. This study measures the disease ‘prevalence’ rather than the disease ‘incidence’. The ‘exposure-based cross-sectional’ study design was examined in several real-life epidemiological studies with binary and continuous outcomes. The ‘exposure-based cross-sectional’ study is an efficient, inexpensive, expeditious, and easy to conduct study design for rare exposures. It can be performed for both binary and continuous outcomes.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Jalal Poorolajal

Jalal Poorolajal is a medical doctor and professor of epidemiology affiliated with Hamadan University of Medical Sciences. He teaches epidemiology for MSc and Ph.D. students. His main field of research is methodology, meta-analysis, cancer, and cardiovascular diseases.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 509.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.