Novel and traditional anthropometric measures of obesity association with dynapenia in postmenopausal women

OBJECTIVES: To examine the association between body mass index (BMI), Body Roundness Index (BRI), and A Body Shape Index (ABSI), with handgrip strength (HGS) and dynapenia in postmenopausal women. METHODS: This is a cross-sectional study involving 259 postmenopausal women. Age, age at menopause, alcohol consumption, height, weight, waist circumference, and smoking status were recorded. BMI, BRI, and ABSI were separately calculated. Serum creatinine, glucose, glycated hemoglobin, and uric acid were evaluated. HGS was measured using a digital dynamometer, and physical activity was assessed by the International Physical Activity Questionnaire. Student t test, χ2 test, Pearson correlation coefficient, and multivariable linear and logistic regression models were performed for data analysis. RESULTS: HGS was not correlated with BMI (r=-0.004, P=0.930), BRI (r=-0.080, P=0.190), and ABSI (r=-0.019, P=0.750). The multivariable linear regression models showed that HGS was not significantly associated with BMI (β= 0.01; 95% CI, -0.11 to 0.12), BRI (β= -0.04; 95% CI, -0.34 to 0.25), and ABSI (β= 43; 95% CI, -38 to 124). The multivariable logistic regression models displayed no significant association between dynapenia with BMI (OR= 1.00; 95% CI, 0.92-1.09), BRI (OR= 1.06; 95% CI, 0.84-1.34), and ABSI (OR= 0.80; 95% CI, 0.55-1.14). CONCLUSIONS: There were no associations between BMI, BRI, and ABSI with HGS. Furthermore, in postmenopausal women, dynapenia was also not associated with these anthropometric indices of obesity.

Authors

Institutions

Publication Details

Journal
Menopause The Journal of The North American Menopause Society
Published
2026-06-30
DOI
https://doi.org/10.1097/gme.0000000000002855
Primary Topic
Body Composition Measurement Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Novel and traditional anthropometric measures of obesity association with dynapenia in postmenopausal women

Miklós Süle, Pérez-López Fr, Pascual García-Alfaro, Ignacio Rodríguez
Menopause The Journal of The North American Menopause Society
Body Composition Measurement Techniques
article

Novel and traditional anthropometric measures of obesity association with dynapenia in postmenopausal women

Miklós Süle, Pérez-López Fr, Pascual García-Alfaro, Ignacio Rodríguez
article en

Abstract

OBJECTIVES: To examine the association between body mass index (BMI), Body Roundness Index (BRI), and A Body Shape Index (ABSI), with handgrip strength (HGS) and dynapenia in postmenopausal women. METHODS: This is a cross-sectional study involving 259 postmenopausal women. Age, age at menopause, alcohol consumption, height, weight, waist circumference, and smoking status were recorded. BMI, BRI, and ABSI were separately calculated. Serum creatinine, glucose, glycated hemoglobin, and uric acid were evaluated. HGS was measured using a digital dynamometer, and physical activity was assessed by the International Physical Activity Questionnaire. Student t test, χ2 test, Pearson correlation coefficient, and multivariable linear and logistic regression models were performed for data analysis. RESULTS: HGS was not correlated with BMI (r=-0.004, P=0.930), BRI (r=-0.080, P=0.190), and ABSI (r=-0.019, P=0.750). The multivariable linear regression models showed that HGS was not significantly associated with BMI (β= 0.01; 95% CI, -0.11 to 0.12), BRI (β= -0.04; 95% CI, -0.34 to 0.25), and ABSI (β= 43; 95% CI, -38 to 124). The multivariable logistic regression models displayed no significant association between dynapenia with BMI (OR= 1.00; 95% CI, 0.92-1.09), BRI (OR= 1.06; 95% CI, 0.84-1.34), and ABSI (OR= 0.80; 95% CI, 0.55-1.14). CONCLUSIONS: There were no associations between BMI, BRI, and ABSI with HGS. Furthermore, in postmenopausal women, dynapenia was also not associated with these anthropometric indices of obesity.

Menopause The Journal of The North American Menopause Society
Universidad de Zaragoza (ES), Hospital Universitario Dexeus (ES), Primary Health Care (QA)
Good health and well-being
Openalex Percentile: Top 8%
Body Composition Measurement Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.