J Menopausal Med.  2021 Dec;27(3):s6.

Association between vasomotor symptoms and sarcopenia assessed by L3 skeletal muscle index among Korean menopausal women

Affiliations
  • 1Department of Obstetrics and Gynecology, Korea University College of Medicine, 73 Goryeodae-ro, Seongbuk-gu, Seoul 02841, Republic of Korea

Abstract


Objective
To evaluate the association between vasomotor symptoms, skeletal muscle index, and sarcopenia in menopausal women.
Methods
This cross-sectional study included 295 Korean menopausal women aged 40–65 years who underwent abdominal computed tomography during routine health checkups between January 2014 and May 2016. The cross-sectional areas of adipose and skeletal muscles were measured at the L3 level using computed tomography. The skeletal muscle index is defined as the sum of the skeletal muscle area (cm2 )/height 2 (m2). Sarcopenia was identified by a skeletal muscle index of < 34.9 cm2 /m2 . Vasomotor symptoms were assessed using the Menopause Rating Scale.
Results
The mean age of the participants was 54.93 ± 6.20 years. Vasomotor symptoms were reported in 160 women (54.2%). Sarcopenia was more prevalent in women without vasomotor symptoms (18.5%) than in those with (6.9%). Multivariate logistic regression showed that the prevalence of sarcopenia was inversely associated with the prevalence of vasomotor symptoms (odds ratio, 0.32; 95% confidence interval, 0.15–0.67). Moreover, the paraspinal muscle index was positively associated with the prevalence of vasomotor symptoms (odds ratio, 1.06; 95% confidence interval, 1.01–1.11) after adjusting for age, body mass index, waist circumference, adipose tissue area, history of hormone therapy, systolic and diastolic blood pressures, total cholesterol, insulin resistance, alcohol intake, and exercise.
Conclusions
Vasomotor symptoms are less common in women with sarcopenia than in those without, and are positively associated with paraspinal muscle mass in Korean menopausal women. Further longitudinal studies are required to investigate the causal relationships and underlying mechanisms.

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