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Beyond physical fitness: Pre-to-post hematological and physical fitness changes during an eight-week multi-component exercise program in sedentary adults aged 30–45 years

  • Yasin Demircan ,

    Roles Conceptualization, Data curation, Formal analysis, Methodology, Project administration, Writing – original draft

    yasin_demircan20@trabzon.edu.tr

    Affiliation Faculty of Sport Sciences, Trabzon University, Trabzon, Turkey

  • Vedat Ayan,

    Roles Conceptualization, Methodology, Supervision, Writing – review & editing

    Affiliation Faculty of Sport Sciences, Trabzon University, Trabzon, Turkey

  • Selami Yüksek,

    Roles Supervision, Validation, Writing – review & editing

    Affiliation Faculty of Sport Sciences, Trabzon University, Trabzon, Turkey

  • Fatih Gür,

    Roles Data curation, Investigation, Writing – review & editing

    Affiliation Faculty of Sport Sciences, Pamukkale University, Denizli, Turkey

  • Burak Kural,

    Roles Investigation, Resources, Writing – review & editing

    Affiliation Faculty of Sport Sciences, Trabzon University, Trabzon, Turkey

  • Halit Şar

    Roles Formal analysis, Visualization, Writing – review & editing

    Affiliation Faculty of Sport Sciences, Sinop University, Sinop, Turkey

Abstract

This exploratory study aimed to examine pre-to-post changes in physical fitness and selected hematological parameters during an 8-week multi-component exercise program in sedentary adults. The study used a single-group pre-test/post-test quasi-experimental design to describe temporal changes within the same participants. Thirty-six sedentary volunteers (15 females and 21 males) aged 30–45 years completed a multi-component program including cardiorespiratory endurance, strength, balance, and flexibility exercises for 45–50 minutes per session, 3 days per week, for 8 weeks. Paired-samples t-tests were used to compare pre-test and post-test measurements. Body weight and body mass index decreased, whereas estimated VO2max, vertical jump, flexibility, speed, agility, and balance performance showed statistically significant pre-to-post changes (all p < 0.001). Significant increases were also observed in hemoglobin, hematocrit, erythrocyte, leukocyte, and platelet values (all p < 0.001), whereas MCV and MCH did not change significantly (p > 0.05). Participation in the program coincided with favorable changes in body composition and physical performance and with measurable changes in selected hematological parameters. However, the absence of a control group and the lack of direct assessment of plasma volume, hydration status, erythropoietin, iron status, and hemoglobin mass preclude causal and mechanistic conclusions. The hematological findings may partly reflect hemoconcentration, plasma-volume shifts, or other physiological variation and should therefore be interpreted cautiously.

Introduction

Digitalization, technological advancements, lifestyle changes driven by urbanization, and the comfort zones offered by modern life have reduced the necessity for individuals to be physically active, thereby facilitating the prevalence of a sedentary lifestyle. Today, physical inactivity is identified by the World Health Organization (WHO) as the fourth leading cause of death globally [1]. Furthermore, according to WHO data, 27.5% of adults worldwide engage in insufficient levels of physical activity [1]. While this rate rises to 31% in Europe, data from the Turkish Statistical Institute indicate that the majority of individuals aged 15 years and older in Türkiye reported no health-enhancing aerobic physical activity in 2022 [2].

Individuals who have low energy expenditure in daily life, spend prolonged periods sitting, and do not perform at least 150 minutes of moderate-intensity exercise per week are defined as “sedentary” [3]. This lifestyle is a major risk factor for the development of numerous chronic health problems, particularly cardiovascular diseases, obesity, type 2 diabetes, and musculoskeletal disorders. In this context, the development of exercise-based intervention programs aimed at reducing health risks in sedentary individuals and the scientific investigation of their effectiveness are of paramount importance.

Regular exercise has been associated with changes in physical fitness and selected biological parameters in sedentary adults. Previous studies have reported improvements in estimated or directly measured VO2max, muscular performance, and functional capacity following structured exercise programs, although the magnitude of change varies according to participant characteristics and intervention design [4]. Exercise may also be accompanied by changes in circulating hematological parameters [5,6]. However, variations in HGB, HCT, and RBC concentrations can be influenced by plasma volume, hydration status, iron availability, and other factors; therefore, changes in these measures do not necessarily indicate increased erythropoiesis or enhanced oxygen-carrying capacity.

However, the manifestation of these effects may vary depending on the type and duration of the exercise program applied, as well as individual characteristics. Recent studies demonstrate that 12-week regular exercise programs yield significant improvements in both cardiorespiratory fitness and metabolic health in sedentary individuals. For instance, a randomized controlled trial conducted by Navarro-Lomas et al. [7] reported that a 12-week structured exercise intervention enhanced physical fitness in sedentary middle-aged individuals. Similarly, another study examined the effects of different exercise types on steroid hormones in physically inactive middle-aged adults and observed positive results [8]. Furthermore, individualized aerobic exercise programs were found to increase cardiorespiratory fitness and general physical activity levels, particularly in middle-aged and older individuals with multimorbidity [9].

These findings suggest that structured exercise programs may support physical fitness and metabolic health in sedentary adults [9]. However, studies that evaluate physical fitness and hematological variables concurrently in sedentary adults aged 30–45 years remain limited. Examining these outcomes concurrently may provide a broader descriptive picture of the changes observed during a multi-component exercise period. Nevertheless, because circulating blood-cell concentrations can be affected by hydration and plasma-volume shifts, hematological findings require cautious interpretation.

In this context, the present exploratory study aimed to examine pre-to-post changes in physical fitness and selected hematological parameters following an 8-week multi-component exercise program in sedentary adults aged 30–45 years. Given the single-group pre-test/post-test quasi-experimental design, the study was not intended to establish causal effects but rather to provide preliminary observations regarding temporal changes in body composition, estimated aerobic capacity, motor performance, and hematological markers within this demographic. It was hypothesized that participation in the structured multi-component exercise program would be associated with favorable changes in physical fitness outcomes and selected hematological parameters.

Materials and methods

Research design

This study used a single-group pre-test/post-test quasi-experimental design. The design permits the examination of within-participant changes between two time points; however, without a control group, the observed changes cannot be attributed exclusively to the exercise program [10].

Participants

The study group was determined using the “criterion sampling” strategy. A total of 36 volunteers (15 females, 21 males) aged between 30 and 45 years were included in the study. A power analysis was conducted to evaluate the adequacy of this sample size. The results indicated that a sample size of 36 participants provides a statistical power of 0.83 to detect a medium effect size (Cohen's d = 0.50) with an alpha level of 0.05. The primary inclusion criteria were having a “sedentary” lifestyle and no history of chronic diseases. Sedentary status was defined as not having participated in moderate or vigorous-intensity regular physical activity within the last six months [11]. Participants were recruited for this study between 20 January 2023 and 20 March 2023. Written informed consent was obtained from all participants. The study was approved by the Trabzon University Social and Humanities Research and Publication Ethics Committee (Decision No: 2300005310).

Exercise program

The exercise protocol was planned for 8 weeks, 3 days a week. Each session consisted of warm-up (5–10 min), main exercise phase (25–30 min), and cool-down (5–10 min) stages. The main exercise phase included: rope skipping, Y-T-W exercises, medicine ball throw, T-push-up, shoulder press (airplane movement), hip bridge, plank, sit-ups, plank with forward reach, lunges, squat jumps, drop squats, and airplane exercise. The protocol was organized as a progressive multi-component program in accordance with established exercise-prescription principles [12]. To ensure the reproducibility of the intervention, the detailed progression of exercise volume, intensity (%HRmax) and training modalities across the 8-week period is summarized in Table 1. Exercise intensity was monitored based on the age-predicted maximum heart rate (HRmax) zones as specified in Table 1. Additionally, the Borg Rating of Perceived Exertion (RPE) was used to ensure that each participant maintained the targeted intensity zone, allowing for individual adjustments within the sessions. The progression was achieved by increasing the number of sets and incorporating more complex plyometric and resistance elements across the three training phases.

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Table 1. The 8-week multi-component exercise training protocol.

https://doi.org/10.1371/journal.pone.0354672.t001

Data collection tools

Measurements were carried out in two stages: before (pre-test) and after (post-test) the 8-week exercise program.

  • Balance: Flamingo Balance Test was used. Test-retest reliability is high [13].
  • Flexibility: Sit-and-Reach Test was used. It offers high validity for hamstring extensibility [14].
  • Aerobic capacity: 20-Meter Shuttle Run Test (Beep Test) was used to estimate VO2max [15].
  • Agility: T-Test was used [16].
  • Lower limb muscle strength: Vertical Jump Test was used [17].
  • Speed: 20-Meter Speed Test was used [18].
  • Anthropometric measurements: Height, body weight, and Body Mass Index (BMI) were measured. BMI is a key indicator associated with metabolic risk [19,20].

Hematological measurements

Complete blood count (hemogram) was performed at pre-test and post-test stages. Blood samples were collected in the morning in a fasting state and evaluated using automated hematology analyzers (Sysmex XN-Series, Kobe, Japan). Parameters analyzed included hemoglobin (HGB), hematocrit (HCT), erythrocyte count (RBC), leukocyte count (WBC), platelet count (PLT), mean corpuscular volume (MCV), and mean corpuscular hemoglobin (MCH).

Data analysis

Statistical analyses were performed using Jamovi 2.7.13 software. Data distribution was assessed using the Shapiro-Wilk test, visual inspection of Q-Q plots, and skewness and kurtosis coefficients [21,22]. Paired-samples t-tests were used to compare pre-test and post-test measurements of physical fitness and hematological parameters. Mean differences are reported with 95% confidence intervals. Effect sizes were calculated as Cohen’s dz for paired observations and interpreted using conventional thresholds of 0.2 (small), 0.5 (medium), and 0.8 (large). Exact p-values are reported whenever available; values smaller than 0.001 are reported as p < 0.001. Statistical significance was set at p < 0.05.

Results

This section presents the pre-to-post comparisons observed during the 8-week exercise period. As shown in Table 2, statistically significant changes were observed in body composition and performance-related measures. Body weight and BMI decreased, whereas estimated VO2max, vertical jump, and flexibility increased. The times recorded for the 20 m sprint and agility test and the number of balance errors decreased, indicating better post-test performance. The effect sizes ranged from medium to large within the present sample.

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Table 2. Comparison of pre-test and post-test physical fitness and anthropometric measures (N = 36).

https://doi.org/10.1371/journal.pone.0354672.t002

As shown in Table 3, statistically significant pre-to-post increases were observed in HGB, HCT, RBC, WBC, and PLT values (all p < 0.001). No statistically significant changes were observed in MCV or MCH (p > 0.05). These findings describe changes in circulating hematological measures; the present data do not establish whether they reflect erythropoiesis, hemoconcentration, plasma-volume shifts, or other physiological variation.

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Table 3. Comparison of pre-test and post-test hematological parameters (N = 36).

https://doi.org/10.1371/journal.pone.0354672.t003

Discussion

This exploratory study examined pre-to-post changes in physical fitness and selected hematological parameters during an 8-week multi-component exercise program in sedentary adults aged 30–45 years. The findings showed changes in body composition, estimated aerobic capacity, motor performance, and selected hematological measures. Because the study used a single-group pre-test/post-test design without a control group, the findings should be interpreted as preliminary within-participant observations rather than evidence of causal effects.

In the present sample, body weight and BMI decreased from pre-test to post-test. This pattern is consistent with previous studies reporting associations between regular physical activity and body composition [7,9]. Estimated VO2max and several motor-performance measures also changed in a favorable direction. These observations are compatible with previous evidence on structured exercise and physical fitness, but the design does not permit the changes to be attributed solely to the intervention [4].

Significant pre-to-post increases were observed in HGB, HCT, and RBC, whereas MCV and MCH remained statistically unchanged. This pattern describes quantitative changes in circulating hematological measures without detectable changes in the assessed erythrocyte indices. Although exercise has been associated with hematological responses in previous research [2325], erythropoietin, hemoglobin mass, iron status, plasma volume, and hydration markers were not measured in this study. The observed increases therefore cannot be attributed to erythropoiesis or improved oxygen-carrying capacity and may partly reflect hemoconcentration, plasma-volume shifts, or other physiological variation.

Pre-to-post increases were also observed in WBC and PLT. Acute and chronic exercise can be accompanied by immune, inflammatory, and hemodynamic responses [26,27]; however, inflammatory markers, cytokines, platelet-activation measures, and serial post-exercise blood samples were not obtained. Consequently, the clinical or physiological meaning of these changes cannot be determined from the present data.

Several limitations should be acknowledged. First, the single-group design without a control group prevents the isolation of program-related changes from learning effects, natural physiological variation, regression to the mean, or unrecorded changes in diet, sleep, and physical activity. Causal conclusions therefore cannot be drawn. Second, the sample size was modest and limits generalizability. The sample included both women and men, but it was not large enough for adequately powered sex-stratified analyses; potential sex-related differences may therefore have influenced the findings. Third, although blood samples were collected in a standardized morning fasting state, dietary intake, supplement use, menstrual-cycle timing, and hydration status were not strictly monitored. Plasma volume, erythropoietin, hemoglobin mass, iron status, inflammatory markers, and platelet-activation markers were also not assessed. Accordingly, the observed changes in HGB, HCT, RBC, WBC, and PLT cannot be interpreted as evidence of erythropoietic adaptation, enhanced oxygen transport, or a beneficial immune or platelet response. Finally, estimated VO2max was derived from a field test rather than direct gas analysis.

Conclusion

In conclusion, participation in the eight-week multi-component exercise program coincided with favorable pre-to-post changes in physical fitness and BMI and with measurable changes in selected hematological parameters in sedentary adults aged 30–45 years. HGB, HCT, RBC, WBC, and PLT increased, whereas MCV and MCH remained statistically unchanged. Because the study lacked a control group and did not assess plasma volume, hydration status, erythropoietin, hemoglobin mass, or iron status, the hematological changes cannot be assigned to a specific mechanism. Randomized controlled studies with larger samples, sex-stratified analyses, and more comprehensive physiological measurements are needed to confirm these observations.

Supporting information

Acknowledgments

The authors would like to thank Dr. İsmail DULGER from Giresun State Hospital for his valuable support in the interpretation of hematological data.

References

  1. 1. World Health Organization. Physical activity. https://www.who.int/news-room/fact-sheets/detail/physical-activity. 2020. 2026 March 26.
  2. 2. Turkish Statistical Institute. Türkiye Health Survey, 2022. Ankara: Turkish Statistical Institute. 2023. https://veriportali.tuik.gov.tr/tr/press/49747
  3. 3. Owen N, Healy GN, Matthews CE, Dunstan DW. Too much sitting: the population health science of sedentary behavior. Exerc Sport Sci Rev. 2010;38(3):105–13. pmid:20577058
  4. 4. Garber CE, Blissmer B, Deschenes MR, Franklin BA, Lamonte MJ, Lee I-M, et al. American College of Sports Medicine position stand. Quantity and quality of exercise for developing and maintaining cardiorespiratory, musculoskeletal, and neuromotor fitness in apparently healthy adults: guidance for prescribing exercise. Med Sci Sports Exerc. 2011;43(7):1334–59. pmid:21694556
  5. 5. Brun J-F, Varlet-Marie E, Raynaud de Mauverger E, Fedou C, Pollatz M. Hemorheologic effects of low intensity endurance training in type 2 diabetic patients: A pilot study. Clin Hemorheol Microcirc. 2016;61(4):579–89. pmid:25536915
  6. 6. Lancaster GI, Febbraio MA. Mechanisms of stress-induced cellular HSP72 release: implications for exercise-induced increases in extracellular HSP72. Exerc Immunol Rev. 2005;11:46–52. pmid:16385843
  7. 7. Navarro-Lomas G, Dote-Montero M, Alcantara JMA, Plaza-Florido A, Castillo MJ, Amaro-Gahete FJ. Different exercise training modalities similarly improve heart rate variability in sedentary middle-aged adults: the FIT-AGEING randomized controlled trial. Eur J Appl Physiol. 2022;122(8):1863–74. pmid:35538242
  8. 8. Dote-Montero M, De-la-O A, Jurado-Fasoli L, Ruiz JR, Castillo MJ, Amaro-Gahete FJ. The effects of three types of exercise training on steroid hormones in physically inactive middle-aged adults: a randomized controlled trial. Eur J Appl Physiol. 2021;121(8):2193–206. pmid:33890158
  9. 9. Lo Y-P, Chiang S-L, Lin C-H, Liu H-C, Chiang L-C. Effects of Individualized Aerobic Exercise Training on Physical Activity and Health-Related Physical Fitness among Middle-Aged and Older Adults with Multimorbidity: A Randomized Controlled Trial. Int J Environ Res Public Health. 2020;18(1):101. pmid:33375668
  10. 10. Creswell JW, Creswell JD. Research Design: Qualitative, Quantitative, and Mixed Methods Approaches. 5th ed. Los Angeles: SAGE. 2018.
  11. 11. Caspersen CJ, Powell KE, Christenson GM. Physical activity, exercise, and physical fitness: definitions and distinctions for health-related research. Public Health Rep. 1985;100(2):126–31. pmid:3920711
  12. 12. American College of Sports Medicine. ACSM’s Guidelines for Exercise Testing and Prescription. 11th ed. Philadelphia: Wolters Kluwer. 2021.
  13. 13. Cachupe WJC, Shifflett B, Kahanov L, Wughalter EH. Reliability of Biodex Balance System Measures. Meas Phys Educ Exerc Sci. 2001;5(2):97–108.
  14. 14. Mayorga-Vega D, Merino-Marban R, Viciana J. Criterion-Related Validity of Sit-and-Reach Tests for Estimating Hamstring and Lumbar Extensibility: a Meta-Analysis. J Sports Sci Med. 2014;13(1):1–14. pmid:24570599
  15. 15. Castro-Piñero J, Artero EG, España-Romero V, Ortega FB, Sjöström M, Suni J, et al. Criterion-related validity of field-based fitness tests in youth: a systematic review. Br J Sports Med. 2010;44(13):934–43. pmid:19364756
  16. 16. Pauole K, Madole K, Garhammer J, Lacourse M, Rozenek R. Reliability and Validity of the T-Test as a Measure of Agility, Leg Power, and Leg Speed in College-Aged Men and Women. Journal of Strength and Conditioning Research. 2000;14(4):443–50.
  17. 17. Markovic G, Dizdar D, Jukic I, Cardinale M. Reliability and factorial validity of squat and countermovement jump tests. J Strength Cond Res. 2004;18(3):551–5. pmid:15320660
  18. 18. Haugen T, Buchheit M. Sprint Running Performance Monitoring: Methodological and Practical Considerations. Sports Med. 2016;46(5):641–56. pmid:26660758
  19. 19. Nuttall FQ. Body mass index: obesity, BMI, and health: a critical review. Nutr Today. 2015;50(3):117.
  20. 20. Okorodudu DO, Jumean MF, Montori VM, Romero-Corral A, Somers VK, Erwin PJ, et al. Diagnostic performance of body mass index to identify obesity as defined by body adiposity: a systematic review and meta-analysis. Int J Obes (Lond). 2010;34(5):791–9. pmid:20125098
  21. 21. Tabachnick BG, Fidell LS, Ullman JB. Using multivariate statistics. 6th ed. Boston: Pearson. 2013.
  22. 22. George D, Mallery P. IBM SPSS Statistics 23 Step by Step: A Simple Guide and Reference. 14th ed. New York: Routledge. 2016.
  23. 23. Lundby C, Mazza O, Nielsen J, Haubro M, Kvorning T, Ørtenblad N, et al. Eight weeks of heavy strength training increases hemoglobin mass and V̇o2peak in well-trained to elite female and male rowers. J Appl Physiol (1985). 2024;136(1):1–12. pmid:37942530
  24. 24. Okon IA, Beshel JA, Owu DU, Orie NN, Jim AE, Edet LI. Moderate aerobic exercise improves haematological indices without altering cardio-metabolic enzyme activities in sedentary healthy young adults. BMC Sports Sci Med Rehabil. 2025;17(1):32. pmid:40022144
  25. 25. Mairbäurl H. Red blood cells in sports: effects of exercise and training on oxygen supply by red blood cells. Front Physiol. 2013;4:332. pmid:24273518
  26. 26. Wardyn GG, Rennard SI, Brusnahan SK, McGuire TR, Carlson ML, Smith LM, et al. Effects of exercise on hematological parameters, circulating side population cells, and cytokines. Exp Hematol. 2008;36(2):216–23. pmid:18206729
  27. 27. Goin A. Cardiorespiratory fitness and platelet reactivity. https://acsm.org/cardiorespiratory-fitness-platelet-reactivity/ 2024. 2025 November 26.