Submitted:
03 August 2026
Posted:
04 August 2026
You are already at the latest version
Abstract
Keywords:
1. Introduction
2. Materials and Methods
2.1. Study Design
2.2. Participants
2.3. Exercise Programmes
2.4. Instruments
2.4.1. Participant Characterisation Questionnaire
2.4.2. Body Composition
2.4.3. Cytokines
2.5. Data Collection Procedures
2.6. Statistical Analysis
3. Results
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
| AE | Aquatic exercise |
| ME | Multicomponent exercise |
| ELISA | Enzyme-linked immunosorbent assay |
| IL | Interleukin |
| TNF-α | Tumour necrosis factor-alpha |
| IL-1ra | IL-1 receptor antagonist |
| CR10 | Borg Category-Ratio 10 |
| BMI | Body mass index |
| VF | Visceral fat |
| FM | Fat mass |
| MM | Muscle mass |
| SD | Standard deviation |
| CIs | 95% confidence intervals |
References
- Hernández-Lepe, M.; Ortiz-Ortiz, M.; Hernández-Ontiveros, D.; Mejía-Rangel, M. Inflammatory Profile of Older Adults in Response to Physical Activity and Diet Supplementation: A Systematic Review. Int. J. Env. Res. Public Health 2023, 20(5). [Google Scholar]
- Duggal, N.; Niemiro, G.; Harridge, S.; Simpson, R.; Lord, J. Can physical activity ameliorate immunosenescence and thereby reduce age-related multi-morbidity? Nat. Rev. Immunol. 2019, 19(9), 563–72. [Google Scholar]
- Al-Qahtani, A.; Alhamlan, F.; Al-Qahtani, A. Pro-Inflammatory and Anti-Inflammatory Interleukins in Infectious Diseases: A Comprehensive Review. Trop. Med. Infect. Dis. 2024, 9(1). [Google Scholar]
- Santoro, A.; Bientinesi, E.; Monti, D. Immunosenescence and inflammaging in the aging process: age-related diseases or longevity? Ageing Res. Rev. 2021, 71, 101422. [Google Scholar]
- Cheng, X.; Yang, Z. Effect of resistance training on inflammatory markers in middle-aged and older adults: A meta-analysis. Arch. Gerontol. Geriatr. 2024, 126, 105536. [Google Scholar]
- Teixeira, P.; Marques, A.; Lopes, C.; Sardinha, L.; Mota, J. Prevalence and Preferences of Self-Reported Physical Activity and Nonsedentary Behaviors in Portuguese Adults. J. Phys. Act. Health 2019, 16(4), 251–8. [Google Scholar]
- Bull, F.; Al-Ansari, S.; Biddle, S.; Borodulin, K.; Buman, M.; Cardon, G.; et al. World Health Organization 2020 guidelines on physical activity and sedentary behaviour. Br. J. Sports Med. 2020, 1(54(24)), 1451 LP–1462. [Google Scholar]
- Arkkukangas, M.; Bååthe, K.; Ekholm, A.; Tonkonogi, M. Short Multicomponent Group Exercise Intervention Promotes Long-Term Physical Activity Habits among Community-Dwelling Older Adults during COVID-19 Restrictions: A Cohort Study. Int. J. Env. Res. Public Health 2022, 19((22)). [Google Scholar]
- Pinheiro, É.; Lemes, G.; Portes, J.; Santos, L.; Santo, R.; Xavier, R.; et al. The Effects Of Exercise On Physical Performance In Elderly Residents Of Long-Term Institutions: An Integrative Review. Saúde E Desenvolv. Hum. 2021, 21, 10. [Google Scholar]
- Buitrago-Restrepo, C.; Patiño-Villada, F.; Arango-Paternina, C. Effects of Aquatic Exercise on Physical Performance in Older Adults: A Systematic Review and Meta-Analysis. J. Aging Phys. Act. 2024, 32(5), 651–67. [Google Scholar]
- Moreira, O.; Lopes, G.; de Matos, D.; Mazini-Filho, M.; Aidar, F.; Silva, S.; et al. Impact of two hydrogymnastics class methodologies on the functional capacity and flexibility of elderly women. J. Sports Med. Phys. Fit. 2019, 59(1), 126–31. [Google Scholar]
- Borg, G. Borg’s Perceived Exertion And Pain Scales. In Human Kinetics; 1998. [Google Scholar]
- Faul, F.; Erdfelder, E.; Buchner, A.; Lang, A. Statistical power analyses using G*Power 3.1: Tests for correlation and regression analyses. Behav. Res. Methods 2009, 41(4), 1149–60. [Google Scholar]
- Abd El-Kader, S.; Al-Shreef, F. Inflammatory cytokines and immune system modulation by aerobic versus resisted exercise training for elderly. Afr. Health Sci. 2018, 18(1), 120–31. [Google Scholar]
- Farinha, C.; Ferreira, J.; Serrano, J.; Santos, H.; Oliveiros, B.; Silva, F.; et al. The impact of aquatic exercise programs on the systemic hematological and inflammatory markers of community dwelling elderly: A randomized controlled trial. Front Physiol. 2022, 13, 1–15. [Google Scholar]
- Sadjapong, U.; Yodkeeree, S.; Sungkarat, S.; Siviroj, P. Multicomponent Exercise Program Reduces Frailty and Inflammatory Biomarkers and Improves Physical Performance in Community-Dwelling Older Adults: A Randomized Controlled Trial. Int. J. Env. Res. Public Health 2020, 17(11). [Google Scholar]
- Dalamitros, A.; Toupektsi, E.; Alexiou, P.; Nousiou, S.; Clemente-Suarez, V.; Tornero-Aguilera, J.; et al. The Effectiveness of Water- versus Land-Based Exercise on Specific Measures of Physical Fitness in Healthy Older Adults: An Integrative Review. Healthc. 2024, 12(2). [Google Scholar]
| AE (n = 7) | ME (n = 8) | |
| Age | 70,8 ± 4,5 years | 75,4 ± 4,1 years |
| Marital status | 85,71% married 14,29% widowed |
100% married |
| Regular medication use | 85,71% | 100% |
| History of infections (No/Yes) | 71,42%/ 28,58% (urinary tract infections) | 87,5%/ 12,5% (urinary tract infections) |
| Allergies (No/Yes) | 71,42%/ 28,58 (pollen) | 75%/ 25% (pollen, bee venom) |
| Medical conditions | Hypertension, diabetes mellitus, hypercholesterolaemia, obstructive sleep apnoea | Hypertension, diabetes mellitus, hypercholesterolaemia |
| Daily sleep duration | 7,29h (min. 6; max. 8) | 7,25h (min. 6; max. 10) |
| Sleep quality (good/satisfatory) |
85,71%/ 14,29% | 75%/ 25% |
| Alcohol, tobacco, and recreational drug use | 100% no | 100% no |
| Abbreviations: AE: Aquatic Exercise; ME: multicomponent exercise | ||
| Group | Height (m) | Body Mass (Kg) | Visceral Fat | Fat Mass (%) | Muscle Mass (%) | |
| Mean | AE | 1.66 | 78.0 | 14.4 | 23.4 | 33.8 |
| ME | 1.68 | 80.6 | 14.4 | 25.2 | 32.3 | |
| Standard deviation | AE | 0.05 | 7.75 | 3.91 | 3.11 | 1.49 |
| ME | 0.06 | 10.6 | 7.11 | 7.63 | 3.10 | |
| Minimum | AE | 1.59 | 69.3 | 10 | 19.9 | 31.0 |
| ME | 1.60 | 65.5 | 4 | 11.9 | 28.1 | |
| Maximum | AE | 1.73 | 87.6 | 19 | 29.0 | 35.4 |
| ME | 1.76 | 95.8 | 28 | 34.5 | 37.4 | |
| Shapiro–Wilk test (p) | AE | 0.978 | 0.223 | 0.150 | 0.494 | 0.261 |
| ME | 0.290 | 0.806 | 0.820 | 0.724 | 0.801 | |
| Levene’s test (p) | 0.353 | 0.580 | 0.401 | 0.039 | 0.109 | |
| p-value | 0.461 | 0.612 | 0.986 | 0.557 | 0.264 | |
| t | -0.7599 | -0.5190 | 0.0177 | -0.6087 | 1.1676 | |
| df | 13.0 | 13.0 | 13.0 | 9.51 | 13.0 | |
| Mean difference | -0.0225 | -2.5196 | 0.0536 | -1.7911 | 1.5054 | |
| 95% CI of the mean difference | [-0.0865; 0.0415] | [-13.0083; 7.9690] | [-6.4924; 6.5996] | [-8.3940; 4.8119] | [-1.2800; 4.2907] | |
| Hedges’ g | -0.37 | -0.25 | 0.01 | -0.28 | 0.57 | |
| Abbreviations: AE, aquatic exercise; ME, multicomponent exercise; CI, confidence interval; df, degrees of freedom. | ||||||
| Group | TNF-α (pg/mL) | IL1-β (pg/mL) | IL-10 (pg/mL) | IL1-ra (pg/mL) | |
| Median (IQR) | AE | 35.0 (20.6-102) |
19.9 (12.7-38.8) |
34.3 (11.0-76.0) |
120 (96.0-167) |
| ME | 39.6 (36.2-214) |
28.3 (19.7-41.9) |
32.5 (11.0-46.8) |
161 (95.0-179) |
|
| Minimum | AE | 1.67 | 3.96 | 5.15 | 12.3 |
| ME | 5.00 | 3.96 | 1.00 | 22.3 | |
| Maximum | AE | 663 | 224 | 181 | 385 |
| ME | 1419 | 236 | 254 | 724 | |
| Shapiro–Wilk test (p) | AE | <.001 | <.001 | 0.082 | 0.220 |
| ME | <.001 | <.001 | <.001 | 0.002 | |
| Mann–Whitney U test (p) (AE vs EA) | 0.524 | 0.728 | 0.862 | 0.694 | |
| Rank-biserial correlation | 0.2143 | 0.1250 | -0.0714 | 0.1429 | |
| Abbreviations: AE, aquatic exercise; ME, multicomponent exercise; TNF-α, tumour necrosis factor-alpha; IL-1β, interleukin-1 beta; IL-10, interleukin-10; IL-1ra, interleukin-1 receptor antagonist; IQR, interquartile range (25th–75th percentile). | |||||
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2026 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).