The results of this study showed that studied ovarian steroids, adrenal hormones, insulin-like growth factor-1, parathormone, and vitamin D were not associated with handgrip strength. Abstract Objectives This study aimed to evaluate the endogenous hormonal factors related to dominant handgrip strength (HGS) in postmenopausal women. Methods A cross-sectional study was performed on 402 postmenopausal women aged 47 to 83 years. The following variables were recorded: age, age at menopause, smoking status, adiposity, HGS, and physical activity. Hormonal parameters (follicle-stimulating hormone, estradiol, testosterone, cortisol, dehydroepiandrosterone sulfate, ∆4 androstenedione, insulin-like growth factor-1 [IGF-1], vitamin D, and parathormone levels) were measured and results reported as odds ratios (ORs), β coefficients and 95% confidence interval (95% CI). A directed acyclic graph was used to identify potential confounding variables and was adjusted in the regression model to assess associations between endogenous hormones and HGS. Results The mean dominant HGS was 22.8 ± 3.7 kg, and 25.6% of women had dynapenia. There were significant differences in plasma levels of follicle-stimulating hormone (OR, 0.99; 95% CI, 0.98-1.00), cortisol (OR, 1.07; 95% CI, 1.02-1.12), and dehydroepiandrosterone sulfate (OR, 0.99; 95% CI, 0.98-1.00) between women with normal HGS and those who presented with dynapenia. After adjusting for confounding variables, no significant association was found between endogenous hormones and HGS. Conclusions Our results showed that studied ovarian steroids, adrenal hormones, IGF-1, parathormone, and vitamin D were not associated with HGS.
Relationship between handgrip strength and endogenous hormones in postmenopausal women
P. García-Alfaro,S. García,I. Rodríguez,Luciana Bergamaschi,F. Pérez-López
Published 2022 in Menopause
ABSTRACT
PUBLICATION RECORD
- Publication year
2022
- Venue
Menopause
- Publication date
2022-10-16
- Fields of study
Medicine
- Identifiers
- External record
- Source metadata
Semantic Scholar, PubMed
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