Risk for and consequences of endometriosis: A critical epidemiologic review
A L Shafrir1, L V Farland2, D K Shah3
1Division of Adolescent and Young Adult Medicine, Department of Medicine, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA; Boston Center for Endometriosis, Boston Children's and Brigham and Women's Hospitals, Boston, MA, USA.
Abstract:
Endometriosis affects approximately 10% of women of reproductive age. Characteristics robustly associated with a greater risk for endometriosis include early age at menarche, short menstrual cycle length, and lean body size, whereas greater parity has been associated with a lower risk. Relationships with other potential characteristics including physical activity, dietary factors, and lactation have been less consistent, partially because of the need for rigorous data collection and a longitudinal study design. Critical methodologic complexities include the need for a clear case definition; valid selection of comparison/control groups; and consideration of diagnostic bias and reverse causation when exploring demographic characteristics, medical history, and lifestyle factors. Reviewers and editors must demand a detailed description of rigorous methods to facilitate comparison and replication to advance our understanding of endometriosis.
More Related Videos
07:12A Syngeneic Murine Model of Endometriosis using Naturally Cycling Mice
Published on: November 24, 2020
07:20Intraoperative Detection of Subtle Endometriosis: A Novel Paradigm for Detection and Treatment of Pelvic Pain Associated with the Loss of Peritoneal Integrity
Published on: December 21, 2012
Related Concept Videos
Timing and Consequences on Behavior
Humans, however, can respond to delayed reinforcers. We often make decisions between immediate small rewards and delayed larger rewards. This ability to delay gratification is a significant...
Review and Preview
Percentiles are a type of fractile that partition data into...
Review and Preview
Introduction to Epidemiology
Causality in Epidemiology
Critical Region, Critical Values and Significance Level
In hypothesis testing, a sample statistic is converted to a test statistic using z, t, or chi-square distribution. A critical region is an area under the curve in probability distributions demarcated by the critical value. When the test statistic falls in this region, it suggests that the null hypothesis must be rejected. As this region contains all those values of the...
