Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Bone Disorders01:29

Bone Disorders

3.4K
Aging and its effect on bone remodeling is the most common cause of bone disorders. In young and healthy people, bone deposition and resorption happen at an equal rate to maintain optimal bone health.
Bone deposition is also affected by the levels of sex hormones like estrogen and testosterone that promote osteoblast activity and bone matrix synthesis. When the level of these hormones decreases due to aging, it causes a reduction in bone deposition. As a result, bone resorption by osteoclasts...
3.4K
What is the Skeletal System?01:02

What is the Skeletal System?

52.0K
Overview
52.0K
Menopause01:28

Menopause

110
Menopause, a natural biological process marking the end of a woman's fertility, typically occurs between the fifth and sixth decade of life. This phase is characterized by the exhaustion of the ovarian follicle pool, leading to less responsive ovaries despite the high levels of Follicle Stimulating Hormone (FSH) and Luteinizing Hormone (LH). The consequential decrease in estrogen production results in symptoms like hot flashes, heavy sweating, headaches, hair loss, muscle pains, vaginal...
110

You might also read

Related Articles

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

Sort by
Same author

Menopausal hormone therapy, migraine history, and headache severity: Results from the Women's Health Initiative Hormone Therapy clinical trials.

HeadacheĀ·2026
Same author

Worsening frailty and declining quality of life in older survivors of non-metastatic breast cancer.

Journal of the National Cancer InstituteĀ·2026
Same author

Epigenetic entropy, socioeconomic differences, and health and lifespan in the Women's Health Initiative.

Clinical epigeneticsĀ·2026
Same author

Identification of DNA methylation signatures of smoking in women and associations with cardiovascular disease mortality.

Communications biologyĀ·2026
Same author

Purpose in life, personal growth, life satisfaction and risk of cognitive impairment among older women.

Aging & mental healthĀ·2026
Same author

Reproductive Lifespan and Adult-Onset Bronchiectasis in U.S. Postmenopausal Women: An Investigation of the Women's Health Initiative Cohort.

Chronic obstructive pulmonary diseases (Miami, Fla.)Ā·2026

Related Experiment Video

Updated: May 21, 2025

Cortical Bone Assessment Using Ultrasonic Guided Waves: A Reproducibility Study in a Healthy Population
09:02

Cortical Bone Assessment Using Ultrasonic Guided Waves: A Reproducibility Study in a Healthy Population

Published on: January 31, 2025

366

Identifying Younger Postmenopausal Women With Osteoporosis Using USPSTF-Recommended Osteoporosis Risk Assessment

Henry W Zheng1, Alex A T Bui2, Kristine E Ensrud3

  • 1Medical and Imaging Informatics, UCLA (University of California, Los Angeles), Los Angeles.

JAMA Network Open
|March 18, 2025
PubMed
Summary
This summary is machine-generated.

Three common osteoporosis risk assessment tools showed fair to moderate accuracy in identifying low bone mineral density (BMD) in younger postmenopausal women. This highlights a gap in current screening methods for this demographic.

More Related Videos

Author Spotlight: Assessing Surgical Frailty with Point-of-Care Ultrasound of Quadriceps Muscles
04:00

Author Spotlight: Assessing Surgical Frailty with Point-of-Care Ultrasound of Quadriceps Muscles

Published on: July 26, 2024

406
Semiautomated Longitudinal Microcomputed Tomography-based Quantitative Structural Analysis of a Nude Rat Osteoporosis-related Vertebral Fracture Model
07:12

Semiautomated Longitudinal Microcomputed Tomography-based Quantitative Structural Analysis of a Nude Rat Osteoporosis-related Vertebral Fracture Model

Published on: September 28, 2017

8.1K

Related Experiment Videos

Last Updated: May 21, 2025

Cortical Bone Assessment Using Ultrasonic Guided Waves: A Reproducibility Study in a Healthy Population
09:02

Cortical Bone Assessment Using Ultrasonic Guided Waves: A Reproducibility Study in a Healthy Population

Published on: January 31, 2025

366
Author Spotlight: Assessing Surgical Frailty with Point-of-Care Ultrasound of Quadriceps Muscles
04:00

Author Spotlight: Assessing Surgical Frailty with Point-of-Care Ultrasound of Quadriceps Muscles

Published on: July 26, 2024

406
Semiautomated Longitudinal Microcomputed Tomography-based Quantitative Structural Analysis of a Nude Rat Osteoporosis-related Vertebral Fracture Model
07:12

Semiautomated Longitudinal Microcomputed Tomography-based Quantitative Structural Analysis of a Nude Rat Osteoporosis-related Vertebral Fracture Model

Published on: September 28, 2017

8.1K

Area of Science:

  • Bone Health and Osteoporosis Research
  • Clinical Epidemiology
  • Geriatric Medicine

Background:

  • Clinical guidelines recommend osteoporosis risk prediction tools for identifying low bone mineral density (BMD) in younger postmenopausal women.
  • The performance of these tools in this specific demographic is not well-quantified, necessitating further evaluation.

Purpose of the Study:

  • To compare the performance of the Osteoporosis Risk Assessment Instrument (ORAI) and Osteoporosis Index of Risk (OSIRIS) against the Osteoporosis Self-Assessment Tool (OST).
  • To evaluate the efficacy of these tools in identifying osteoporotic BMD among women aged 50-64 years.

Main Methods:

  • A cross-sectional study utilizing data from the Women's Health Initiative Bone Density Substudy.
  • Included healthy postmenopausal women aged 50-64 years with BMD measurements.
  • Evaluated OSIRIS, ORAI, and OST using area under the receiver operating characteristic curve (AUC) at published and alternate score cutoffs.

Main Results:

  • The study included 6067 participants; 14.1% had osteoporosis at any of the three assessed skeletal sites.
  • The AUC for identifying osteoporosis was 0.633 for OSIRIS, 0.663 for ORAI, and 0.654 for OST.
  • All three tools demonstrated fair to moderate discrimination in identifying osteoporosis based on BMD T-scores.

Conclusions:

  • Guideline-recommended osteoporosis risk assessment tools exhibit fair to moderate performance in identifying osteoporosis in younger postmenopausal women.
  • A significant gap exists in the ability of common clinical risk factors to accurately identify osteoporosis in this population.
  • Enhanced screening strategies are crucial to mitigate the individual and societal burden of osteoporosis and fractures.