The Relationship Between Osteoporosis and Sarcopenia Parameters in Postmenopausal Women Under 60

Launched by BEYLIKDUZU STATE HOSPITAL · Jun 22, 2025

Keywords

ClinConnect Summary

This clinical trial is studying the connection between osteoporosis (a condition where bones become weak) and sarcopenia (loss of muscle strength and mass) in women who have gone through menopause and are under 60 years old. The goal is to understand how bone health and muscle health relate in this group. Women who have had a recent bone density test, which measures how strong their bones are, will be invited to join whether they have osteoporosis or not.

If you participate, you’ll share some basic information like your age, height, and weight. The study will look at your bone density results from previous tests and gather details about any osteoporosis treatments, bowel health, and medications you take. In a second part of the study, your muscle strength and muscle mass will be measured using simple tests like a handgrip strength test and standing up from a chair multiple times. This will help researchers compare muscle health between women with and without osteoporosis. To join, you need to be a postmenopausal woman under 60, have had a recent bone density scan, and be willing to consent to the study. Certain conditions like muscle diseases, recent surgeries, or medications that affect bones or muscles may exclude you from participating.

Gender

FEMALE

Eligibility criteria

• Inclusion Criteria:
• • Women under 60 years of age who are postmenopausal.
• * Patients with or without a diagnosis of osteoporosis:
• • Osteoporosis group: T-score ≤ -2.5 in femoral neck or L1-L4 region. Control group: T-score ≥ -1.0 in femoral neck and L1-L4 region.
• • -Patients who provide written informed consent to participate in the study.
• Exclusion Criteria:
• • Refusal to participate in the study.
• • Presence of neuromuscular diseases that could cause muscle loss.
• • History of infection, recent surgery, or trauma.
• • Presence of psychiatric disorders.
• • Cognitive impairment that could interfere with test performance or data reliability.
• • Use of medications that could affect study outcomes (e.g., corticosteroids, muscle relaxants, or medications influencing bone/muscle metabolism).