The Effects Of The Menstrual Cycle On Lactate Threshold And Psychological Markers In Females

Intro: Estrogen and progesterone regulate the menstrual cycle (MC) and influence metabolism and psychological factors during exercise in females. Purpose: This study examined MC effects on lactate threshold (LT) and psychological markers in females. Methods: 8 females (20.9 ± 3.9 yrs) and 8 males (24.8 ± 5.5 yrs) participated in the study. Cycle ergometer LT tests were conducted during three MC phases: early follicular (EF; days 1-3), ovulatory (O; within 24 hrs of positive urinary ovulation test), and mid-luteal (ML; 7-10 days post-O). Males were assigned at intervals matching a 28-day cycle to serve as controls. Blood lactate samples were collected during the final minute of each 3-minute stage alongside ratings of perceived exertion (RPE). The first stage was set at 1 W/kg of body weight, and resistance was increased by 0.5 W/kg thereafter. LT was determined using fixed blood lactate concentrations of 2.0 and 4.0 mmol/L. Profile of Mood States (POMS) and pain (VAS) ratings were recorded prior to each visit. Results: Power at LT did not significantly differ between groups or across MC phases (p > 0.05). End-test power was significantly higher for males (p = 0.024, EF: 232.13 ± 82.97 W vs 158.50 ± 31.22 W, O: 227.63 ± 89.19 W vs 149.13 ± 12.93 W, ML: 233.25 ± 84.44 W vs 149.06 ± 24.51 W). End-test RPE was not significantly different between groups or across phases, but a large effect size was observed during EF in females (p > 0.05, ηp2 = 0.188, EF: 8.50 ± 1.69 vs 9.00 ± 1.20). Notably, female fatigue levels were significantly higher than those of males across all phases (p = 0.025, EF: 3.38 ± 4.10 vs 1.25 ± 1.04, O: 3.13 ± 2.42 vs 1.00 ± 1.07, ML: 4.25 ± 4.10 vs 1.13 ± 0.64). Pain was significantly higher in females during EF compared to males and other MC phases (p = 0.031, EF: 15.79 ± 17.40 vs 0.92 ± 2.21, O: 1.59 ± 2.11 vs 0.26 ± 0.74, ML: 2.80 ± 4.52 vs 0.28 ± 0.51). Conclusions: The MC does not significantly impact power at LT in untrained females and elevated pain and fatigue levels do not seem to impair exercise performance. Although there were no statistically significant differences in RPE across phases, effect size was large. Participants generally rated the EF phase as 'very, very hard' rather than 'hard,' indicating an increase in perceived effort by an entire category. Supported by: Partial funding from graduate student senate (GSS) monies for lactate supplies

Authors

Institutions

Publication Details

Journal
Medicine & Science in Sports & Exercise
Published
2025-09-16
DOI
https://doi.org/10.1249/01.mss.0001155808.66486.57
Primary Topic
Menstrual Health and Disorders
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Effects Of The Menstrual Cycle On Lactate Threshold And Psychological Markers In Females

Bianca A.R. Galletti, Rebecca Larson, Grant A. Chesbro
Medicine & Science in Sports & Exercise
Menstrual Health and Disorders
article

The Effects Of The Menstrual Cycle On Lactate Threshold And Psychological Markers In Females

Bianca A.R. Galletti, Rebecca Larson, Grant A. Chesbro
article en

Abstract

Intro: Estrogen and progesterone regulate the menstrual cycle (MC) and influence metabolism and psychological factors during exercise in females. Purpose: This study examined MC effects on lactate threshold (LT) and psychological markers in females. Methods: 8 females (20.9 ± 3.9 yrs) and 8 males (24.8 ± 5.5 yrs) participated in the study. Cycle ergometer LT tests were conducted during three MC phases: early follicular (EF; days 1-3), ovulatory (O; within 24 hrs of positive urinary ovulation test), and mid-luteal (ML; 7-10 days post-O). Males were assigned at intervals matching a 28-day cycle to serve as controls. Blood lactate samples were collected during the final minute of each 3-minute stage alongside ratings of perceived exertion (RPE). The first stage was set at 1 W/kg of body weight, and resistance was increased by 0.5 W/kg thereafter. LT was determined using fixed blood lactate concentrations of 2.0 and 4.0 mmol/L. Profile of Mood States (POMS) and pain (VAS) ratings were recorded prior to each visit. Results: Power at LT did not significantly differ between groups or across MC phases (p > 0.05). End-test power was significantly higher for males (p = 0.024, EF: 232.13 ± 82.97 W vs 158.50 ± 31.22 W, O: 227.63 ± 89.19 W vs 149.13 ± 12.93 W, ML: 233.25 ± 84.44 W vs 149.06 ± 24.51 W). End-test RPE was not significantly different between groups or across phases, but a large effect size was observed during EF in females (p > 0.05, ηp2 = 0.188, EF: 8.50 ± 1.69 vs 9.00 ± 1.20). Notably, female fatigue levels were significantly higher than those of males across all phases (p = 0.025, EF: 3.38 ± 4.10 vs 1.25 ± 1.04, O: 3.13 ± 2.42 vs 1.00 ± 1.07, ML: 4.25 ± 4.10 vs 1.13 ± 0.64). Pain was significantly higher in females during EF compared to males and other MC phases (p = 0.031, EF: 15.79 ± 17.40 vs 0.92 ± 2.21, O: 1.59 ± 2.11 vs 0.26 ± 0.74, ML: 2.80 ± 4.52 vs 0.28 ± 0.51). Conclusions: The MC does not significantly impact power at LT in untrained females and elevated pain and fatigue levels do not seem to impair exercise performance. Although there were no statistically significant differences in RPE across phases, effect size was large. Participants generally rated the EF phase as 'very, very hard' rather than 'hard,' indicating an increase in perceived effort by an entire category. Supported by: Partial funding from graduate student senate (GSS) monies for lactate supplies

Medicine & Science in Sports & ExerciseVol. 57(10S)
University of Oklahoma (US)
Openalex Percentile: Top 66%
Menstrual Health and Disorders
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.