1
|
Benito PJ, Alfaro-Magallanes VM, Rael B, Castro EA, Romero-Parra N, Rojo-Tirado MA, Peinado AB. Effect of Menstrual Cycle Phase on the Recovery Process of High-Intensity Interval Exercise-A Cross-Sectional Observational Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:3266. [PMID: 36833959 PMCID: PMC9959793 DOI: 10.3390/ijerph20043266] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Revised: 02/07/2023] [Accepted: 02/09/2023] [Indexed: 06/18/2023]
Abstract
Although the study of the menstrual cycle influence on endurance exercise has recently increased, there is a lack of literature studying its influence on females' cardiorespiratory recovery. Thus, the aim of the present work was to assess menstrual cycle influence on post-exercise recovery following a high intensity interval exercise in trained females. Thirteen eumenorrheic endurance-trained females performed an interval running protocol in three menstrual cycle phases: early follicular phase (EFP), late follicular phase (LFP), and mid-luteal phase (MLP). The protocol consisted of 8 × 3-min bouts at 85% of their maximal aerobic speed (vVO2peak) with a 90-s rest between bouts and a final 5-min active recovery at 30% vVO2peak. All variables were averaged every 15 s, obtaining 19 moments during recovery (time factor). To analyze the effects of the menstrual cycle on the final active cardiorespiratory recovery, an ANOVA for repeated measures was performed. ANOVA showed an effect on menstrual cycle phase on ventilation (EFP: 1.27 ± 0.35; LFP: 1.19 ± 0.36; MLP: 1.27 ± 0.37), breathing frequency (EFP: 35.14 ± 7.14; LFP: 36.32 ± 7.11; MLP: 37.62 ± 7.23), and carbon dioxide production (EFP: 1120.46 ± 137.62; LFP: 1079.50 ± 129.57; MLP: 1148.78 ± 107.91). Regarding the interaction results (phase x time), ventilation is higher at many of the recovery times during the MLP, with less frequent differences between EFP and LFP (F = 1.586; p = 0.019), while breathing reserve is lower at many of the recovery times during MLP, with less time differences between EFP and LFP (F = 1.643; p = 0.013). It seems that the menstrual cycle affects post-exercise recovery specially during the MLP, rising ventilation and lowering breathing reserve, giving rise to an impaired ventilatory efficiency.
Collapse
Affiliation(s)
- Pedro J. Benito
- LFE Research Group, Department of Health and Human Performance, Faculty of Physical Activity and Sport Sciences (INEF), Universidad Politécnica de Madrid (UPM), 28040 Madrid, Spain
| | - Víctor M. Alfaro-Magallanes
- LFE Research Group, Department of Health and Human Performance, Faculty of Physical Activity and Sport Sciences (INEF), Universidad Politécnica de Madrid (UPM), 28040 Madrid, Spain
| | - Beatriz Rael
- LFE Research Group, Department of Health and Human Performance, Faculty of Physical Activity and Sport Sciences (INEF), Universidad Politécnica de Madrid (UPM), 28040 Madrid, Spain
| | - Eliane A. Castro
- LFE Research Group, Department of Health and Human Performance, Faculty of Physical Activity and Sport Sciences (INEF), Universidad Politécnica de Madrid (UPM), 28040 Madrid, Spain
- Department of Physical Education, São Paulo State University (UNESP), Bauru 17033-360, SP, Brazil
| | - Nuria Romero-Parra
- LFE Research Group, Department of Health and Human Performance, Faculty of Physical Activity and Sport Sciences (INEF), Universidad Politécnica de Madrid (UPM), 28040 Madrid, Spain
- Departamento de Fisioterapia, Terapia Ocupacional, Rehabilitación y Medicina Física, Facultad de CC. de la Salud, Universidad Rey Juan Carlos, 28933 Madrid, Spain
| | - Miguel A. Rojo-Tirado
- LFE Research Group, Department of Health and Human Performance, Faculty of Physical Activity and Sport Sciences (INEF), Universidad Politécnica de Madrid (UPM), 28040 Madrid, Spain
| | - Ana B. Peinado
- LFE Research Group, Department of Health and Human Performance, Faculty of Physical Activity and Sport Sciences (INEF), Universidad Politécnica de Madrid (UPM), 28040 Madrid, Spain
| |
Collapse
|
2
|
Kalu ME, Dal Bello-Haas V, Griffin M, Boamah SA, Harris J, Zaide M, Rayner D, Khattab N, Bhatt V, Goodin C, Song JW(B, Smal J, Budd N. Physical mobility determinants among older adults: a scoping review of self-reported and performance-based measures. EUROPEAN JOURNAL OF PHYSIOTHERAPY 2022. [DOI: 10.1080/21679169.2022.2153303] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Affiliation(s)
- Michael E. Kalu
- School of Rehabilitation Science, Faculty of Health Sciences, McMaster University, Hamilton, Canada
| | - Vanina Dal Bello-Haas
- School of Rehabilitation Science, Faculty of Health Sciences, McMaster University, Hamilton, Canada
| | - Meridith Griffin
- Department of Health, Aging & Society, Faculty of Social Science, McMaster University, Hamilton, Canada
| | - Sheila A. Boamah
- School of Nursing, Faculty of Health Sciences, McMaster University, Hamilton, Canada
| | - Jocelyn Harris
- School of Rehabilitation Science, Faculty of Health Sciences, McMaster University, Hamilton, Canada
| | - Mashal Zaide
- Faculty of Health Sciences, McMaster University, Hamilton, Canada
| | - Daniel Rayner
- Department of Health Science, Faculty of Health Sciences, McMaster University, Hamilton, Canada
| | - Nura Khattab
- Department of Kinesiology, Faculty of Sciences, McMaster University, Hamilton, Canada
| | - Vidhi Bhatt
- Faculty of Health Sciences, McMaster University, Hamilton, Canada
| | | | | | - Justin Smal
- Manitoulin Physio Centre, M'Chigeeng, Canada
| | - Natalie Budd
- The Arthtitis and Sports Medicine Centre, Ancaster, Canada
| |
Collapse
|
3
|
Martinez-Arnau FM, Buigues C, Fonfría-Vivas R, Cauli O. Respiratory function correlates with fat mass index and blood triglycerides in institutionalized older individuals. Endocr Metab Immune Disord Drug Targets 2022; 22:1029-1039. [PMID: 35352657 DOI: 10.2174/1871530322666220329150813] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Revised: 01/09/2022] [Accepted: 01/19/2022] [Indexed: 11/22/2022]
Abstract
BACKGROUND We investigated the relationship between respiratory function measured by spirometry analysis and anthropometric variables (skeletal and fat mass) and nutritional status in the institutionalized elderly, particularly at high risk of adverse outcomes after respiratory infections and malnutrition. DESIGN A multicenter cross-sectional study with quantitative approach among older people institutionalized living in nursing homes. METHODS Respiratory function was assessed by measuring the forced vital capacity, forced expiratory volume in the first second, the ratio between FEV1 and FVC (FEV1/FVC), and peak expiratory flow in percentage by means of spirometric analysis (values of the forced expiratory volume measured during the first second of the forced breath (FEV1) and forced vital capacity (FVC)). Nutritional assessment and anthropometry analysis were done to evaluate under or over nutrition/weight. RESULTS There was a significant (p<0.05) and positive correlation between FEV1 and skeletal muscle mass index, whereas fat mass index correlated significantly (p<0.01) with the FEV1/FVC index. FEV1/FVC values were both significantly (p<0.05) associated with high body mass index and triglyceride levels in blood. The prevalence of individuals with ventilator restrictive pattern (FEV1/FVC>70% with FEV1 and FVC<80%) was 27.6% and 12 individuals (21.1%) receive daily bronchodilators as part of the pharmacological treatment for respiratory disorders. A logistic regression was performed to identify predictors of restrictive respiratory pattern. The following variables were entered into the model: age group, female gender, Charlson comorbidity index, body-mass index (BMI), fat mass index, skeletal muscle mass index, total cholesterol and triglycerides concentration. The model was statistically significant (p < 0.05; R2 = 0.39), correctly classifying 70.0% of cases, with a sensitivity of 89.3% and a specificity of 50.0%. Area under curve was 0.71 (IC95% 0.54-0.88; p=0.023). The highest OR for restrictive respiratory pattern were for BMI (OR=5.09) and triglycerides concentration in blood (>150 mg/dl) (OR=5.59). CONCLUSION The relationship between a restrictive pattern of respiratory function and fat mass which deserves future investigation to manage these parameters as possible modifiable factor of altered respiratory function in overweight institutionalized older individuals.
Collapse
Affiliation(s)
- Francisco Miguel Martinez-Arnau
- Department of Physiotherapy, University of Valencia, Valencia, Spain
- Frailty and Cognitive Impairment Research Group (FROG), University of Valencia, Valencia, Spain
| | - Cristina Buigues
- Frailty and Cognitive Impairment Research Group (FROG), University of Valencia, Valencia, Spain
- Department of Medicine and Nursing, University of Valencia, Spain
| | - Rosa Fonfría-Vivas
- Frailty and Cognitive Impairment Research Group (FROG), University of Valencia, Valencia, Spain
- Department of Medicine and Nursing, University of Valencia, Spain
| | - Omar Cauli
- Frailty and Cognitive Impairment Research Group (FROG), University of Valencia, Valencia, Spain
- Department of Medicine and Nursing, University of Valencia, Spain
| |
Collapse
|
4
|
He J, Fu J, Zhao W, Ren C, Liu P, Chen L, Li D, Zhou L, Tang L, Liu X, Ye S, Liu X, Ma Y, Zhang Y, Ma X, Zhang L, Zhang G, Li N, Fan D. Exercise Physiology Impairments of Patients With Amyotrophic Lateral Sclerosis: Cardiopulmonary Exercise Testing Findings. Front Physiol 2022; 13:792660. [PMID: 35370778 PMCID: PMC8967153 DOI: 10.3389/fphys.2022.792660] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2021] [Accepted: 02/15/2022] [Indexed: 12/05/2022] Open
Abstract
Background and Objective In amyotrophic lateral sclerosis (ALS), progressive weakness significantly limits the ability to exercise. However, measurements of the impaired exercise function and their practical value to assess disease progression in ALS are scarce. Cardiopulmonary exercise testing (CPET) is a non-invasive accurate method used to comprehensively quantify exercise physiology in a variety of diseases. This study aimed to evaluate the clinical value of CPET and to explore its association with disease severity and prognosis prediction in ALS. Methods A total of 319 participants were enrolled in this 3-year prospective study. After strict quality control, 109 patients with ALS and 150 age- and sex-matched healthy controls were included with comprehensive clinical assessment and follow-ups. The incremental ramp protocol for symptom-limited CPET was applied in both groups. The exercise physiology during peak effort exercise was systematically measured, including the overall aerobic capacity of exercise (VO2 peak) and the respective capacity of the exercise-involved organs [cardiac response (heart rate peak—HR peak), ventilatory efficiency (VE/VCO2 slope), breathing economy (VE/VO2 peak), and other relevant parameters]. Disease severity and progression were evaluated using recognized scales. Survival was monitored with regular follow-ups every 6 months. Results Decreased exercise capacity (VO2 peak < 16 ml/kg/min) occurred more frequently in patients with ALS than in controls (44.95% vs. 9.33%, p < 0.01). In patients with ALS, the average VO2 peak (16.16 ± 5.43 ml/kg/min) and HR peak [135 (112–153) bpm] were significantly lower (p < 0.01) than in controls [22.26 ± 7.09 ml/kg/min; 148 (135–164) bpm], but the VE/VCO2 slope was significantly higher [28.05 (25.03–32.16) vs. 26.72 (24.37–29.58); p = 0.03]. In patients with ALS, the VO2 peak and HR peak were significantly correlated with disease severity and progression scores (p < 0.05). Survival analyses revealed the VO2 peak and HR peak as protective indicators while the VE/VO2 peak as a detrimental indicator for the prognostic prediction in ALS (HR = 0.839, p = 0.001; HR = 0.967, p < 0.001; HR = 1.137, p = 0.028, respectively). Conclusion Our prospective study quantified the significantly decreased exercise capacity in ALS through non-invasive CPET. The impaired VO2 peak and HR peak closely correlated with disease severity and independently predicted a worse prognosis. Our findings identified the clinical value of CPET as an objective indicator of disease progression in ALS.
Collapse
Affiliation(s)
- Ji He
- Department of Neurology, Peking University Third Hospital, Beijing, China
- Beijing Municipal Key Laboratory of Biomarker and Translational Research in Neurodegenerative Diseases, Beijing, China
| | - Jiayu Fu
- Department of Neurology, Peking University Third Hospital, Beijing, China
- Beijing Municipal Key Laboratory of Biomarker and Translational Research in Neurodegenerative Diseases, Beijing, China
| | - Wei Zhao
- Department of Cardiology, Peking University Third Hospital, Beijing, China
- Physical Examination Center, Peking University Third Hospital, Beijing, China
| | - Chuan Ren
- Department of Cardiology, Peking University Third Hospital, Beijing, China
- Physical Examination Center, Peking University Third Hospital, Beijing, China
| | - Ping Liu
- Department of Cardiology, Peking University Third Hospital, Beijing, China
- Physical Examination Center, Peking University Third Hospital, Beijing, China
| | - Lu Chen
- Department of Neurology, Peking University Third Hospital, Beijing, China
- Beijing Municipal Key Laboratory of Biomarker and Translational Research in Neurodegenerative Diseases, Beijing, China
| | - Dan Li
- Department of Cardiology, Peking University Third Hospital, Beijing, China
- Physical Examination Center, Peking University Third Hospital, Beijing, China
| | - Lequn Zhou
- Department of Cardiology, Peking University Third Hospital, Beijing, China
| | - Lu Tang
- Department of Neurology, Peking University Third Hospital, Beijing, China
- Beijing Municipal Key Laboratory of Biomarker and Translational Research in Neurodegenerative Diseases, Beijing, China
| | - Xiangyi Liu
- Department of Neurology, Peking University Third Hospital, Beijing, China
- Beijing Municipal Key Laboratory of Biomarker and Translational Research in Neurodegenerative Diseases, Beijing, China
| | - Shan Ye
- Department of Neurology, Peking University Third Hospital, Beijing, China
- Beijing Municipal Key Laboratory of Biomarker and Translational Research in Neurodegenerative Diseases, Beijing, China
| | - Xiaolu Liu
- Department of Neurology, Peking University Third Hospital, Beijing, China
- Beijing Municipal Key Laboratory of Biomarker and Translational Research in Neurodegenerative Diseases, Beijing, China
| | - Yan Ma
- Department of Neurology, Peking University Third Hospital, Beijing, China
- Beijing Municipal Key Laboratory of Biomarker and Translational Research in Neurodegenerative Diseases, Beijing, China
| | - Yixuan Zhang
- Department of Neurology, Peking University Third Hospital, Beijing, China
- Beijing Municipal Key Laboratory of Biomarker and Translational Research in Neurodegenerative Diseases, Beijing, China
| | - Xinran Ma
- Department of Neurology, Peking University Third Hospital, Beijing, China
- Beijing Municipal Key Laboratory of Biomarker and Translational Research in Neurodegenerative Diseases, Beijing, China
| | - Linjing Zhang
- Department of Neurology, Peking University Third Hospital, Beijing, China
- Beijing Municipal Key Laboratory of Biomarker and Translational Research in Neurodegenerative Diseases, Beijing, China
| | - Gaoqi Zhang
- Department of Neurology, Peking University Third Hospital, Beijing, China
- Beijing Municipal Key Laboratory of Biomarker and Translational Research in Neurodegenerative Diseases, Beijing, China
| | - Nan Li
- Clinical Epidemiology Research Center, Peking University Third Hospital, Beijing, China
| | - Dongsheng Fan
- Department of Neurology, Peking University Third Hospital, Beijing, China
- Beijing Municipal Key Laboratory of Biomarker and Translational Research in Neurodegenerative Diseases, Beijing, China
- *Correspondence: Dongsheng Fan,
| |
Collapse
|