The Relationship Between Body Composition And Lifestyle Behaviors On Hormone Levels In Premenopausal Women

Body composition is linked to hormonal changes that affect metabolic and reproductive health, and these changes may be influenced by sedentary behavior (SB) and exercise (EX). However, research examining these fluctuations between women using hormonal contraceptives (HC) and naturally menstruating (NM) women is limited. PURPOSE: To determine the influence of body composition on sex hormone binding globulin (SHBG), estradiol (E2), progesterone (P4), leptin and adiponectin and the potential associations with SB and EX. METHODS: Premenopausal women (N = 16, HC = 9, NM = 7) completed weekly testing for 8 weeks which included a serum blood draw and self-reported SB and EX. All participants completed a dual energy x-ray absorptiometry scan to assess lean mass (LM), body fat percentage (BF%), visceral adipose tissue (VAT) and bone mineral density (BMD) at baseline. Multilevel models were used to determine whether hormones differ across 8 weeks and their associations with LM, BF%, VAT, SB, and EX. A secondary multilevel model was used to determine whether SB and EX differed across 8 weeks and their associations with LM, BF%, and VAT. A random effect of participant and fixed effect of visit and cycle phase were used as fixed factors in both models. RESULTS: SB was positively associated with BF% (b = 1.9, p = 0.045) and negatively associated with LM (b = -3.0, p = 0.003). No significant associations between EX and BF% and LM existed. E2 was positively associated with EX (b = 23.9, p = 0.006) but not SB. E2 and P4 were positively associated with BMD (b = 25.1, p = 0.013; b = 2.5, p = 0.021, respectively). Leptin was positively associated with BF% (b = 15.3, p < 0.001) and LM (b = 3.5, p = 0.044). Leptin levels were significantly higher during the luteal phase compared to follicular (b = 4.5, p = 0.037). SHBG and adiponectin were not significantly different by cycle phase and showed no significant associations with any other measures included in the analysis. CONCLUSIONS: In an apparently healthy female population, BF% was positively associated with SB and leptin. Leptin levels varied across menstrual cycle phases among NM participants. Among premenopausal women, E2 is more related to EX than body composition measures. These findings are limited by a small sample size; however, the use of advanced modeling enhances the study design.

Authors

Institutions

Publication Details

Journal
Medicine & Science in Sports & Exercise
Published
2025-09-16
DOI
https://doi.org/10.1249/01.mss.0001155628.95254.54
Primary Topic
Nutrition, Health and Food Behavior
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Relationship Between Body Composition And Lifestyle Behaviors On Hormone Levels In Premenopausal Women

Ann Brown, Alyssa E. Johnson, Alexa J. Chandler, Madison Frey et al.
Medicine & Science in Sports & Exercise
Nutrition, Health and Food Behavior
article

The Relationship Between Body Composition And Lifestyle Behaviors On Hormone Levels In Premenopausal Women

Ann Brown, Alyssa E. Johnson, Alexa J. Chandler, Madison Frey, Malayna G. Schwartz, Gilbert R. Irwin, Ariel Aguiar Bonfim Cruz
article en

Abstract

Body composition is linked to hormonal changes that affect metabolic and reproductive health, and these changes may be influenced by sedentary behavior (SB) and exercise (EX). However, research examining these fluctuations between women using hormonal contraceptives (HC) and naturally menstruating (NM) women is limited. PURPOSE: To determine the influence of body composition on sex hormone binding globulin (SHBG), estradiol (E2), progesterone (P4), leptin and adiponectin and the potential associations with SB and EX. METHODS: Premenopausal women (N = 16, HC = 9, NM = 7) completed weekly testing for 8 weeks which included a serum blood draw and self-reported SB and EX. All participants completed a dual energy x-ray absorptiometry scan to assess lean mass (LM), body fat percentage (BF%), visceral adipose tissue (VAT) and bone mineral density (BMD) at baseline. Multilevel models were used to determine whether hormones differ across 8 weeks and their associations with LM, BF%, VAT, SB, and EX. A secondary multilevel model was used to determine whether SB and EX differed across 8 weeks and their associations with LM, BF%, and VAT. A random effect of participant and fixed effect of visit and cycle phase were used as fixed factors in both models. RESULTS: SB was positively associated with BF% (b = 1.9, p = 0.045) and negatively associated with LM (b = -3.0, p = 0.003). No significant associations between EX and BF% and LM existed. E2 was positively associated with EX (b = 23.9, p = 0.006) but not SB. E2 and P4 were positively associated with BMD (b = 25.1, p = 0.013; b = 2.5, p = 0.021, respectively). Leptin was positively associated with BF% (b = 15.3, p < 0.001) and LM (b = 3.5, p = 0.044). Leptin levels were significantly higher during the luteal phase compared to follicular (b = 4.5, p = 0.037). SHBG and adiponectin were not significantly different by cycle phase and showed no significant associations with any other measures included in the analysis. CONCLUSIONS: In an apparently healthy female population, BF% was positively associated with SB and leptin. Leptin levels varied across menstrual cycle phases among NM participants. Among premenopausal women, E2 is more related to EX than body composition measures. These findings are limited by a small sample size; however, the use of advanced modeling enhances the study design.

Medicine & Science in Sports & ExerciseVol. 57(10S)
University of Idaho (US)
Openalex Percentile: Top 70%
Nutrition, Health and Food Behavior
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.