Training-induced Improvement In Aerobic Fitness Inversely Associates With Changes In POMS Confusion Among Postmenopausal Women

The age-related decline in peak aerobic capacity (V̇O2peak) and concurrent rise in oxygen cost of walking narrows the physiologic reserve - predisposing postmenopausal women to mood disturbance. PURPOSE: Secondary analyses were performed to explore whether exercise training-induced improvement in markers of aerobic fitness associate with changes in mood disturbance among postmenopausal women. METHODS: Postmenopausal women (65 ± 5 y; 30.9 ± 3.6 kg/m2) who completed 8 weeks of supervised, circuit-based training were evaluated. For proof-of-concept, participants who were initially randomized to either a pre-workout beetroot juice group or an exercise-only group were pooled (n = 24) to focus on associations among changes (Δ) (i.e., between baseline and post-training) in markers of aerobic fitness. V̇O2peak was estimated from a 6-minute walk test with heart rate recovery recorded 1-minute post walk (HRR1). A fixed-workload treadmill task coupled with indirect calorimetry was used to measure steady-state oxygen uptake (V̇O2). The Profile of Mood States (POMS) questionnaire was used to measure mood disturbance. Time-point differences were evaluated with dependent samples T-test. Effect sizes were expressed as Cohen’s d. Bivariate correlations and regression modeling were used to evaluate associations of interest. RESULTS: Significant training-induced improvements were detected for ΔV̇O2peak (0.9 ± 1.2 mL/kg/min; p = 0.001, d = 0.76) and ΔHRR1 (-4 ± 9 bpm; p = 0.05, d = 0.43). No differences were found for ΔV̇O2 (-0.3 ± 2.2 mL/kg/min; p = 0.56, d = 0.12) or ΔPOMS scores (all p-values >0.05). However, multiple markers of aerobic fitness including ΔV̇O2peak (r = -0.489, p = 0.015), ΔHRR1 (r = -0.415, p = 0.049) and ΔV̇O2 (r = -0.414, p = 0.050) were significantly associated with ΔPOMS Confusion subscale. Regression modeling revealed ΔV̇O2peak and ΔHRR1 jointly accounted for 51% (R = 0.712, p < 0.001) of the variance in ΔPOMS Confusion. CONCLUSIONS: These preliminary data suggest the POMS Confusion subscale is responsive to training-induced improvements in aerobic fitness. Exercise interventions focused on increasing V̇O2peak and HRR1 may attenuate mood disturbance in postmenopausal women. Supported by: Supported by the Indiana Clinical and Translational Sciences Institute funded in part by grant number UL1TR002529 from the NIH-NCATS.

Authors

Institutions

Publication Details

Journal
Medicine & Science in Sports & Exercise
Published
2025-09-16
DOI
https://doi.org/10.1249/01.mss.0001160772.40997.db
Primary Topic
Sports Performance and Training
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Training-induced Improvement In Aerobic Fitness Inversely Associates With Changes In POMS Confusion Among Postmenopausal Women

Mubarak Patel, John S. Raglin, Andrew R. Coggan, Tenzin Yangchen et al.
Medicine & Science in Sports & Exercise
Sports Performance and Training
article

Training-induced Improvement In Aerobic Fitness Inversely Associates With Changes In POMS Confusion Among Postmenopausal Women

Mubarak Patel, John S. Raglin, Andrew R. Coggan, Tenzin Yangchen, Emily B. Long, Stephen J. Carter, Tyler H. Blechschmid, L. Molina
article en

Abstract

The age-related decline in peak aerobic capacity (V̇O2peak) and concurrent rise in oxygen cost of walking narrows the physiologic reserve - predisposing postmenopausal women to mood disturbance. PURPOSE: Secondary analyses were performed to explore whether exercise training-induced improvement in markers of aerobic fitness associate with changes in mood disturbance among postmenopausal women. METHODS: Postmenopausal women (65 ± 5 y; 30.9 ± 3.6 kg/m2) who completed 8 weeks of supervised, circuit-based training were evaluated. For proof-of-concept, participants who were initially randomized to either a pre-workout beetroot juice group or an exercise-only group were pooled (n = 24) to focus on associations among changes (Δ) (i.e., between baseline and post-training) in markers of aerobic fitness. V̇O2peak was estimated from a 6-minute walk test with heart rate recovery recorded 1-minute post walk (HRR1). A fixed-workload treadmill task coupled with indirect calorimetry was used to measure steady-state oxygen uptake (V̇O2). The Profile of Mood States (POMS) questionnaire was used to measure mood disturbance. Time-point differences were evaluated with dependent samples T-test. Effect sizes were expressed as Cohen’s d. Bivariate correlations and regression modeling were used to evaluate associations of interest. RESULTS: Significant training-induced improvements were detected for ΔV̇O2peak (0.9 ± 1.2 mL/kg/min; p = 0.001, d = 0.76) and ΔHRR1 (-4 ± 9 bpm; p = 0.05, d = 0.43). No differences were found for ΔV̇O2 (-0.3 ± 2.2 mL/kg/min; p = 0.56, d = 0.12) or ΔPOMS scores (all p-values >0.05). However, multiple markers of aerobic fitness including ΔV̇O2peak (r = -0.489, p = 0.015), ΔHRR1 (r = -0.415, p = 0.049) and ΔV̇O2 (r = -0.414, p = 0.050) were significantly associated with ΔPOMS Confusion subscale. Regression modeling revealed ΔV̇O2peak and ΔHRR1 jointly accounted for 51% (R = 0.712, p < 0.001) of the variance in ΔPOMS Confusion. CONCLUSIONS: These preliminary data suggest the POMS Confusion subscale is responsive to training-induced improvements in aerobic fitness. Exercise interventions focused on increasing V̇O2peak and HRR1 may attenuate mood disturbance in postmenopausal women. Supported by: Supported by the Indiana Clinical and Translational Sciences Institute funded in part by grant number UL1TR002529 from the NIH-NCATS.

Medicine & Science in Sports & ExerciseVol. 57(10S)
Indiana University Bloomington (US), Indiana University – Purdue University Indianapolis (US)
Openalex Percentile: Top 68%
Sports Performance and Training
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.