Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Menses Phase

Menses Phase

The uterine cycle begins with the menstrual phase, which is considered day one of the cycle and typically lasts about five days. This phase is characterized by the degeneration and shedding of the stratum functionalis, the functional layer of the endometrium.
When fertilization does not occur, the corpus luteum deteriorates, causing a significant drop in the levels of estrogen and progesterone in the body. This hormonal decrease triggers the release of prostaglandins, which cause the uterine...

Disorders of the Female Reproductive System

Disorders of the Female Reproductive System

The female reproductive system can be affected by several disorders, including Premenstrual Syndrome (PMS), Premenstrual Dysphoric Disorder (PMDD), endometriosis, and various forms of cancer. PMS and PMDD are cyclical conditions that cause physical and emotional distress, with symptoms that include edema, mood swings, and food cravings. PMDD is a more severe form of PMS characterized by increased symptom severity that peaks during the luteal phase and tends to improve or resolve shortly after...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Sex-specific effects of digital home-based neuromodulation combined with mindfulness-based meditation on knee osteoarthritis symptoms.

Digital health·2026

Same author

Adolescent and Young Adults' Event-Level Positive Relationship Feelings and Behaviors Associated With Intimate Partner Violence.

Journal of interpersonal violence·2026

Same author

Heterogeneity of treatment effects in transcranial direct current stimulation for knee osteoarthritis pain and symptoms.

Pain reports·2026

Same author

Predicting Heterogeneity of Treatment Effects to Transcranial Direct Current Stimulation for Knee Osteoarthritis Pain and Symptoms: A Machine Learning Approach.

The Clinical journal of pain·2026

Same author

Minimally important difference and responsiveness to change for numerical rating scale of menstrual pain severity: a psychometric study.

Frontiers in pain research (Lausanne, Switzerland)·2025

Same author

Multimodal cardiovascular risk profiling using self-supervised learning of polysomnography.

Sleep·2025

Search research articles

Related Experiment Video

Updated: Dec 8, 2025

Herbs-Partitioned Moxibustion on the Navel in a Rat Model of Primary Dysmenorrhea with Cold Coagulation and Blood Stasis

Herbs-Partitioned Moxibustion on the Navel in a Rat Model of Primary Dysmenorrhea with Cold Coagulation and Blood Stasis

Published on: October 4, 2024

Dysmenorrhea Symptom-Based Phenotypes: A Replication and Extension Study.

Chen X Chen¹, Janet S Carpenter, Susan Ofner

¹Chen X. Chen, PhD, RN, is Assistant Professor, Indiana University School of Nursing, Indianapolis. Janet, S. Carpenter, PhD, RN, FAAN, is Distinguished Professor, Audrey Geisel Endowed Chair in Innovation, Associate Dean for Research, Indiana University School of Nursing, Indianapolis. Susan Ofner MS, is Biostatistician, Department of Biostatistics, Indiana University School of Medicine, Indianapolis. Michelle LaPradd, MS, MBA, is Biostatistician and PhD Student, Department of Biostatistics, Indiana University School of Medicine, Indianapolis. J. Dennis Fortenberry, MD, MS, is Donald Orr, MD Professor of Adolescent Medicine and Chief of the Division of Adolescent Medicine, Department of Pediatrics, Indiana University School of Medicine, Indianapolis.

Nursing Research

|September 21, 2020

Summary

This summary is machine-generated.

Three distinct dysmenorrhea phenotypes were validated in a new sample, showing that factors like race and endometriosis are linked to pain patterns. This research supports personalized treatment approaches for menstrual pain.

More Related Videos

Analysis of Raw and Processed Cyperi Rhizoma Samples Using Liquid Chromatography-Tandem Mass Spectrometry in Rats with Primary Dysmenorrhea

Analysis of Raw and Processed Cyperi Rhizoma Samples Using Liquid Chromatography-Tandem Mass Spectrometry in Rats with Primary Dysmenorrhea

Published on: December 23, 2022

Ex Vivo Method for Assessing the Mouse Reproductive Tract Spontaneous Motility and a MATLAB-based Uterus Motion Tracking Algorithm for Data Analysis

Ex Vivo Method for Assessing the Mouse Reproductive Tract Spontaneous Motility and a MATLAB-based Uterus Motion Tracking Algorithm for Data Analysis

Published on: September 1, 2019

Related Experiment Videos

Last Updated: Dec 8, 2025

Herbs-Partitioned Moxibustion on the Navel in a Rat Model of Primary Dysmenorrhea with Cold Coagulation and Blood Stasis

Herbs-Partitioned Moxibustion on the Navel in a Rat Model of Primary Dysmenorrhea with Cold Coagulation and Blood Stasis

Published on: October 4, 2024

Analysis of Raw and Processed Cyperi Rhizoma Samples Using Liquid Chromatography-Tandem Mass Spectrometry in Rats with Primary Dysmenorrhea

Analysis of Raw and Processed Cyperi Rhizoma Samples Using Liquid Chromatography-Tandem Mass Spectrometry in Rats with Primary Dysmenorrhea

Published on: December 23, 2022

Ex Vivo Method for Assessing the Mouse Reproductive Tract Spontaneous Motility and a MATLAB-based Uterus Motion Tracking Algorithm for Data Analysis

Ex Vivo Method for Assessing the Mouse Reproductive Tract Spontaneous Motility and a MATLAB-based Uterus Motion Tracking Algorithm for Data Analysis

Published on: September 1, 2019

Area of Science:

Pain Medicine
Women's Health
Clinical Phenotyping

Background:

Dysmenorrhea (painful periods) is common and linked to other chronic pain conditions.
Individual experiences of dysmenorrhea vary significantly in severity and associated symptoms.
Previous identification of three dysmenorrhea phenotypes needs validation in an independent cohort for further research.

Purpose of the Study:

To validate previously identified dysmenorrhea symptom-based phenotypes in a new sample.
To assess the impact of demographic, clinical, and psychobehavioral factors on phenotype classification.
To explore the associations between validated phenotypes and various individual characteristics.

Main Methods:

A cross-sectional survey of 678 women (aged 14-42) with dysmenorrhea.
Latent class analysis used to identify symptom-based phenotypes.
Comparison of analyses with and without covariates to determine phenotype stability and associations.

Main Results:

Three dysmenorrhea phenotypes were reproduced: mild localized pain, severe localized pain, and multiple severe symptoms.
Phenotype membership showed minimal change when demographic, clinical, and psychobehavioral covariates were included.
Race, comorbid chronic pain, endometriosis, and pain catastrophizing were significantly associated with phenotypes.

Conclusions:

The three dysmenorrhea phenotypes are validated in an independent sample, providing a basis for mechanistic and interventional studies.
Demographic, clinical, and psychobehavioral factors are associated with specific dysmenorrhea phenotypes.
This validation supports the development of precision treatments for dysmenorrhea based on distinct symptom profiles.